[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$apiParty6fBuHLCPZ1LTYs42XHdVbjpSDOYYPYzyxeAGwSN5Tp8":3,"$apiPartyFIeLK1-gdbBoZdrTC0UPzXBs21nQQ6haYUv3V9oo9S8":563,"$apiPartyFIeLK1-gdbBoZdrTC0UPzXBs21nQQ6haYUv3V9oo9S8$H93EERW16b":563},{"product_data":4,"scene_data":21,"task_data":407,"modality_data":441,"domain_data":478},[5,9,12,15,18],{"name":6,"value":7,"add_value":8,"describe":8},"Rivo","1","",{"name":10,"value":11,"add_value":8,"describe":8},"Cubo","2",{"name":13,"value":14,"add_value":8,"describe":8},"Moye","3",{"name":16,"value":17,"add_value":8,"describe":8},"Juro","4",{"name":19,"value":20,"add_value":8,"describe":8},"Ordo","5",[22,73,135,197,232,267,302,337,372],{"name":23,"value":7,"add_value":24,"describe":25,"children":26},"Home & Indoor","sofa","AI enhances everyday home life. Our datasets cover real indoor scenes to support smart devices, robotics, and home intelligence.",[27,29,31,33,35,37,40,43,46,49,52,55,58,61,64,67,70],{"name":28,"value":7},"Living Room",{"name":30,"value":11},"Bedroom",{"name":32,"value":14},"Kitchen",{"name":34,"value":17},"Dining Area",{"name":36,"value":20},"Bathroom",{"name":38,"value":39},"Entrance \u002F Foyer","6",{"name":41,"value":42},"Corridor \u002F Hallway","7",{"name":44,"value":45},"Staircase","8",{"name":47,"value":48},"Home Office","9",{"name":50,"value":51},"Hobby \u002F Game Room","10",{"name":53,"value":54},"Worship Space","11",{"name":56,"value":57},"Garage","12",{"name":59,"value":60},"Utility \u002F Laundry Room","13",{"name":62,"value":63},"Pantry","14",{"name":65,"value":66},"Basement","15",{"name":68,"value":69},"Garden","16",{"name":71,"value":72},"Balcony","17",{"name":74,"value":11,"add_value":75,"describe":76,"children":77},"Office & Educational","workshop","AI is reshaping work and learning. Our datasets capture offices and classrooms to power automation and next-generation productivity tools.",[78,81,84,87,90,93,96,99,102,105,108,111,114,117,120,123,126,129,132],{"name":79,"value":80},"Open Office","18",{"name":82,"value":83},"Private Office","19",{"name":85,"value":86},"Co-working Space","20",{"name":88,"value":89},"Reception \u002F Lobby","21",{"name":91,"value":92},"Conference Room","22",{"name":94,"value":95},"Huddle Room \u002F Booth","23",{"name":97,"value":98},"Lecture Hall \u002F Auditorium","24",{"name":100,"value":101},"Classroom","25",{"name":103,"value":104},"Science Laboratory","26",{"name":106,"value":107},"Library","27",{"name":109,"value":110},"Design Studio","28",{"name":112,"value":113},"Pantry \u002F Breakroom","29",{"name":115,"value":116},"Cafeteria \u002F Canteen","30",{"name":118,"value":119},"Restroom (Commercial)","31",{"name":121,"value":122},"Gymnasium \u002F Sports Hall","32",{"name":124,"value":125},"Server Room","33",{"name":127,"value":128},"Mailroom \u002F Logistics","34",{"name":130,"value":131},"Janitorial Closet","35",{"name":133,"value":134},"Corridor \u002F Elevators","36",{"name":136,"value":14,"add_value":137,"describe":138,"children":139},"Healthcare & Medical","love-and-help","AI is advancing modern healthcare. Our datasets include clinics and hospitals to enable clinical insights and medical automation.",[140,143,146,149,152,155,158,161,164,167,170,173,176,179,182,185,188,191,194],{"name":141,"value":142},"Operating Theatre \u002F OR","37",{"name":144,"value":145},"Consultation Room","38",{"name":147,"value":148},"Treatment Room","39",{"name":150,"value":151},"Dental Clinic","40",{"name":153,"value":154},"Inpatient Ward","41",{"name":156,"value":157},"Nurse Station","42",{"name":159,"value":160},"ICU","43",{"name":162,"value":163},"NICU (Neonatal ICU)","44",{"name":165,"value":166},"Emergency Room (ER)","45",{"name":168,"value":169},"Hospital Corridor","46",{"name":171,"value":172},"Waiting Area","47",{"name":174,"value":175},"CT\u002FMRI","48",{"name":177,"value":178},"Medical Laboratory","49",{"name":180,"value":181},"Phlebotomy Room","50",{"name":183,"value":184},"Rehabilitation Gym","51",{"name":186,"value":187},"Assisted Living Room","52",{"name":189,"value":190},"Pharmacy","53",{"name":192,"value":193},"Sterile Processing Dept","54",{"name":195,"value":196},"Medical Storage","55",{"name":198,"value":17,"add_value":199,"describe":200,"children":201},"Business & Public Service","business","AI is elevating commercial and public services. Our datasets span retail, dining, and service centers to improve intelligent operations.",[202,205,208,211,214,217,220,223,226,229],{"name":203,"value":204},"Shopping Mall Atrium","86",{"name":206,"value":207},"Supermarket Shelf","87",{"name":209,"value":210},"Self-Checkout Counter","88",{"name":212,"value":213},"Restaurant Dining Hall","89",{"name":215,"value":216},"Commercial Kitchen","90",{"name":218,"value":219},"Hotel Lobby","91",{"name":221,"value":222},"Subway Platform","92",{"name":224,"value":225},"Security Checkpoint","93",{"name":227,"value":228},"Underground Parking","94",{"name":230,"value":231},"Bank Teller Zone","95",{"name":233,"value":20,"add_value":234,"describe":235,"children":236},"Industrial & Manufacturing","robot-arm","AI is modernizing industry. Our datasets capture factories and logistics spaces to support robotics and intelligent manufacturing.",[237,240,243,246,249,252,255,258,261,264],{"name":238,"value":239},"Final Assembly Line","96",{"name":241,"value":242},"Quality Control Station","97",{"name":244,"value":245},"Robotic Welding Cell","98",{"name":247,"value":248},"CNC Machining Center","99",{"name":250,"value":251},"Cleanroom","100",{"name":253,"value":254},"Automated Warehouse","101",{"name":256,"value":257},"Loading Dock","102",{"name":259,"value":260},"Sorting Center","103",{"name":262,"value":263},"Chemical Plant","104",{"name":265,"value":266},"Power Substation","105",{"name":268,"value":39,"add_value":269,"describe":270,"children":271},"Transportation & Driving","car","AI is revolutionizing mobility. Our datasets capture road networks, vehicle dynamics and traffic scenarios to support autonomous driving and intelligent transportation systems.",[272,275,278,281,284,287,290,293,296,299],{"name":273,"value":274},"Urban Intersection","56",{"name":276,"value":277},"Highway \u002F Expressway","57",{"name":279,"value":280},"Tunnel","58",{"name":282,"value":283},"Roundabout","59",{"name":285,"value":286},"School \u002F Hospital Zone","60",{"name":288,"value":289},"Toll Station","61",{"name":291,"value":292},"Construction Zone","62",{"name":294,"value":295},"Parking Garage","63",{"name":297,"value":298},"Driver Cabin","64",{"name":300,"value":301},"Adverse Weather","65",{"name":303,"value":42,"add_value":304,"describe":305,"children":306},"Outdoor & Construction","tent-tree","AI is optimizing outdoor operations. Our datasets capture construction sites, open-air work zones and outdoor infrastructure to support smart construction and autonomous outdoor machinery.",[307,310,313,316,319,322,325,328,331,334],{"name":308,"value":309},"Excavation Site","66",{"name":311,"value":312},"Scaffolding Area","67",{"name":314,"value":315},"Material Storage Yard","68",{"name":317,"value":318},"Site Entrance","69",{"name":320,"value":321},"Roadwork Zone","70",{"name":323,"value":324},"Bridge Infrastructure","71",{"name":326,"value":327},"Transmission Line","72",{"name":329,"value":330},"Open-pit Mine","73",{"name":332,"value":333},"Tunneling Site","74",{"name":335,"value":336},"Post-Disaster Rubble","75",{"name":338,"value":45,"add_value":339,"describe":340,"children":341},"Nature, Aerial & Aquatic","global-loop","AI is exploring the natural world. Our datasets capture terrestrial landscapes, aerial vistas and aquatic ecosystems to support environmental monitoring and autonomous exploration systems.",[342,345,348,351,354,357,360,363,366,369],{"name":343,"value":344},"Deep Forest","76",{"name":346,"value":347},"Farmland \u002F Crops","77",{"name":349,"value":350},"River \u002F Lake","78",{"name":352,"value":353},"Open Ocean","79",{"name":355,"value":356},"Underwater Coral Reef","80",{"name":358,"value":359},"Fish Farm","81",{"name":361,"value":362},"Mountain Terrain","82",{"name":364,"value":365},"Urban Low Altitude","83",{"name":367,"value":368},"Fire Scene","84",{"name":370,"value":371},"Desert \u002F Gobi","85",{"name":373,"value":48,"add_value":374,"describe":375,"children":376},"Virtul & Digital","siri","AI is reshaping the virtual realm. Our datasets capture digital twins, virtual environments and simulated spaces to support metaverse development and intelligent digital interaction.",[377,380,383,386,389,392,395,398,401,404],{"name":378,"value":379},"VR Social Space","106",{"name":381,"value":382},"Synthetic Driving Sim","107",{"name":384,"value":385},"Digital Twin City","108",{"name":387,"value":388},"FPS \u002F MOBA Game","109",{"name":390,"value":391},"Robotics Gym","110",{"name":393,"value":394},"AR Navigation","111",{"name":396,"value":397},"Virtual Showroom","112",{"name":399,"value":400},"Code \u002F IDE Interface","113",{"name":402,"value":403},"App GUI Screen","114",{"name":405,"value":406},"Synthetic Face\u002FID","115",[408,411,414,417,420,423,426,429,432,435,438],{"name":409,"value":7,"add_value":410,"describe":8},"Classification","rubric",{"name":412,"value":11,"add_value":413,"describe":8},"Detection","radar",{"name":415,"value":14,"add_value":416,"describe":8},"Segmentation","segmentation",{"name":418,"value":17,"add_value":419,"describe":8},"Tacking","crosshairs",{"name":421,"value":20,"add_value":422,"describe":8},"Estimation","streamline",{"name":424,"value":39,"add_value":425,"describe":8},"QA","qa",{"name":427,"value":42,"add_value":428,"describe":8},"Recognition","finger-scan",{"name":430,"value":45,"add_value":431,"describe":8},"Control","control",{"name":433,"value":48,"add_value":434,"describe":8},"Extraction","extraction",{"name":436,"value":51,"add_value":437,"describe":8},"Retrieval","retrieval",{"name":439,"value":54,"add_value":440,"describe":8},"Forecast","forecast",[442,445,448,451,454,457,460,463,466,469,472,475],{"name":443,"value":7,"add_value":444,"describe":8},"Audio","audio",{"name":446,"value":11,"add_value":447,"describe":8},"Image","image",{"name":449,"value":14,"add_value":450,"describe":8},"Text","text",{"name":452,"value":17,"add_value":453,"describe":8},"Video","video",{"name":455,"value":20,"add_value":456,"describe":8},"Multi","multi",{"name":458,"value":39,"add_value":459,"describe":8},"Document","document",{"name":461,"value":42,"add_value":462,"describe":8},"Time-Series","time-series",{"name":464,"value":45,"add_value":465,"describe":8},"3D cloud","cloud",{"name":467,"value":48,"add_value":468,"describe":8},"Code","code",{"name":470,"value":51,"add_value":471,"describe":8},"Event","event",{"name":473,"value":54,"add_value":474,"describe":8},"Motion","motion",{"name":476,"value":57,"add_value":477,"describe":8},"Interaction","interaction",[479,482,487,491,494,499,504,509,514,519,524,528,532,536,540,544,548,552,556,559],{"id":480,"value":480,"name":233,"intro":481,"add_value":234,"describe":481},2,"智能质检：利用图像识别、多模态模型对产品外观或声音、振动等数据进行分析，自动识别缺陷，提高质量控制效率。\n工业知识问答与文档理解：通过大模型理解和总结技术文档、操作手册，实现快速问答、知识检索和培训支持。\n安全监测与风险预警：实时分析视频、传感器和操作日志，识别潜在危险行为或异常状态，提前预警，保障人员和设备安全。",{"id":483,"value":483,"name":484,"intro":485,"add_value":486,"describe":485},3,"Finance & Insurance","风险评估与预测：分析大量客户数据，评估信用风险、市场风险等，预测违约概率、股价走势等，辅助金融机构决策。\n智能投顾：根据客户风险偏好、资产状况等，提供个性化投资组合建议，实时调整投资策略。\n反欺诈检测：通过分析交易数据、用户行为，识别异常交易和欺诈行为，保障金融安全。","funds",{"id":488,"value":488,"name":489,"intro":490,"add_value":269,"describe":490},1,"Transport & Automotive","智能座舱：打造多模态交互的 AI 座舱，通过语音、手势、面部识别等实现人机交互，如语音控制导航、音乐播放。\n驾驶员状态监测：识别疲劳、分心、抽烟、打电话等行为，通过大模型判断危险等级，触发相应提醒或干预机制。\n智能驾驶：AI 用于环境感知、路径规划与决策控制，使车辆能识别道路、行人、障碍物等，实现自适应巡航、自动泊车、车道保持等功能，提升驾驶安全性与便利性。",{"id":492,"value":492,"name":136,"intro":493,"add_value":137,"describe":493},4,"医学影像诊断：分析 CT、MRI 等影像，辅助医生检测疾病、识别病灶，如 AI 系统可快速发现肺部结节。\n医患对话助手：通过自然语言处理理解患者问题，提供初步健康建议或就诊指导，缓解医生接诊压力。\n智能健康管理：根据用户健康数据，提供个性化健康建议、疾病预警，如智能手环结合 AI 分析用户运动、睡眠、心率等数据。",{"id":495,"value":495,"name":496,"intro":497,"add_value":498,"describe":497},6,"Smart Devices","多模态交互：支持语音、手势、眼神等多种交互方式，如 AI 眼镜可通过语音指令实现翻译、搜索功能。\n智能感知与处理：使设备能感知环境、理解用户需求，如智能音箱根据环境噪音自动调节音量。\n个性化服务：根据用户使用习惯和偏好，提供个性化功能与服务，如智能手表为用户定制运动健身计划。","microscope",{"id":500,"value":500,"name":501,"intro":502,"add_value":503,"describe":502},8,"Law & Government","智能法律问答：面向公众或企业用户，提供合规、劳动法、婚姻继承、知识产权等常见法律问题的智能解答。\n合同审查与风险识别：利用大模型分析合同内容，识别潜在风险条款、漏洞或不合理约定，提升合同审核质量。\n法律知识图谱构建：自动梳理法规、案例、条文之间的引用关系，构建语义化知识图谱，支持智能分析和推理。","hammer",{"id":505,"value":505,"name":506,"intro":507,"add_value":508,"describe":507},7,"Education & Training","个性化学习：根据学生学习进度、能力和知识掌握情况，推送个性化学习内容与练习，如智能辅导系统为学生制定专属学习计划。\n智能教学辅助：AI 助教协助教师进行作业批改、答疑解惑，还可分析教学数据，为教师提供教学反馈，优化教学方法。\n虚拟学习环境：利用 AI 创建虚拟实验、历史场景等，让学生沉浸式学习，如在虚拟化学实验室中进行实验操作。","degree-hat",{"id":510,"value":510,"name":511,"intro":512,"add_value":513,"describe":512},5,"Agriculture & Food","作物病虫害识别与防治：通过图像识别分析农作物叶片、果实等症状，识别病虫害类型，给出防治建议，减少产量损失。\n农产品质量检测：利用图像和传感器数据，识别果蔬等农产品的成熟度、外观缺陷，进行自动分级，提高市场竞争力。\n农情监测与预测：利用卫星遥感、气象和传感器数据，结合大模型预测作物长势、干旱、洪涝等农情变化。","ph-farm",{"id":515,"value":515,"name":516,"intro":517,"add_value":518,"describe":517},9,"Retail & E-commerce","智能客服：通过自然语言对话理解用户需求，提供产品推荐、订单查询、退换货支持等服务，提升客户满意度。\n个性化营销推荐：基于用户浏览、购买、偏好等行为数据，生成个性化推荐内容与优惠策略，提高转化率和客单价。\n商品内容生成：自动撰写商品标题、卖点描述、使用说明等内容，适用于海量SKU的内容生产与多语言发布。","buy",{"id":520,"value":520,"name":521,"intro":522,"add_value":523,"describe":8},10,"Security & Protection",null,"safe-shield-line",{"id":525,"value":525,"name":526,"intro":522,"add_value":527,"describe":8},11,"Environment & Climate","weather",{"id":529,"value":529,"name":530,"intro":522,"add_value":531,"describe":8},12,"Energy & Resource","energy-leaf",{"id":533,"value":533,"name":534,"intro":522,"add_value":535,"describe":8},13,"Express & Logistics","speed-outline",{"id":537,"value":537,"name":538,"intro":522,"add_value":539,"describe":8},15,"Sports","baseball-outline",{"id":541,"value":541,"name":542,"intro":522,"add_value":543,"describe":8},16,"General Data","daily-booth",{"id":545,"value":545,"name":546,"intro":522,"add_value":547,"describe":8},17,"Content & Media","media",{"id":549,"value":549,"name":550,"intro":522,"add_value":551,"describe":8},18,"Construction","construction",{"id":553,"value":553,"name":554,"intro":522,"add_value":555,"describe":8},19,"IT & Telecom","tech",{"id":557,"value":557,"name":558,"intro":522,"add_value":498,"describe":8},20,"Science & Research",{"id":560,"value":560,"name":561,"intro":522,"add_value":562,"describe":8},21,"Language & Culture","lang",{"id":564,"unique_code":565,"title":566,"icon":8,"intro":567,"cate":483,"detail":568,"create_time":569,"update_time":570,"price":571,"view_count":500,"download_count":572,"unit":572,"amount":573,"is_create_order":572,"enterprise_id":488,"seo_keywords":574,"seo_description":575,"data_format":576,"file_size":577,"apply_scene":578,"training_task":579,"version":580,"dataset_type_id":492,"dataset_scene_id":500,"sample_file":581,"banner":8,"unit_name":8,"cate_name":449,"icon_url":8,"banner_url":8,"sample_file_url":8,"data_dict":582,"qa_list":635,"sample_metadatas":652,"text_sample_content":698,"enterprise_name":699,"enterprise_logo":700,"data_distribution":701},1244,"8a4bc82bde73adc724c34b5f038a1c72","Patent Claim Amendment Support Retrieval Dataset","Connects patent claim amendments to original disclosure evidence for efficient support review and legal document retrieval.","\u003Cp>This dataset contains amended claims, the original specification and claims, drawing descriptions, and written opinions from patent prosecution. It links individual amendment units to the original disclosure passages that may support them, with evidence chains, retrieval-ready chunks, passage locations, and an overall support judgment. The dataset supports amendment-basis review, legal document evidence retrieval, and the training and evaluation of retrieval-augmented generation systems for patent prosecution.\u003C\u002Fp>","2026-10-15 18:06:12","2026-10-19 17:19:14","0.00",0,5000,"patent claim amendment support,patent prosecution dataset,patent document retrieval,RAG legal retrieval,amendment evidence,original disclosure review,legal text dataset,retrieval augmented generation","A patent prosecution dataset linking claim amendments to original disclosure evidence for support review, passage localization, and RAG retrieval evaluation.","JSON","0.4GB","patent claim amendment review, patent disclosure support analysis, intellectual property document retrieval","legal evidence retrieval, claim-to-disclosure matching, support evidence identification","V1.0","rivo\u002Fsample-packages\u002Fa2a5627a-ee28-446e-9ced-a40776de61f2\u002F20261015.zip",[583,588,594,599,604,610,615,620,625,630],{"id":572,"name":584,"field":585,"intro":586,"type":587},"File Name","file_name","File name","string",{"id":589,"name":590,"field":591,"intro":592,"type":593},9090,"Claim Amendment Units","amendment_units","Specific amendment units extracted and summarized from the amended claims.","array",{"id":595,"name":596,"field":597,"intro":598,"type":593},9091,"Retrieval Evidence Chunks","retrieval_chunks","Evidence chunks segmented from the original disclosure documents for RAG retrieval, with passage location information retained.",{"id":600,"name":601,"field":602,"intro":603,"type":593},9092,"Amendment Support Evidence Chain","support_evidence","Links each specific amendment unit to supporting passages in the original specification, original claims, drawing descriptions, or written prosecution opinions.",{"id":605,"name":606,"field":607,"intro":608,"type":609},9093,"Overall Support Judgment","support_judgment","An aggregate judgment on whether all amendments are supported by the original disclosure.","object",{"id":611,"name":612,"field":613,"intro":614,"type":587},9094,"Amended Claims Text","amended_claims_text","The full text of the amended claims to be reviewed.",{"id":616,"name":617,"field":618,"intro":619,"type":587},9095,"Written Prosecution Opinions","office_opinions_text","Relevant written opinions from prosecution, including office actions, notices to correct, applicant statements, and other written communications.",{"id":621,"name":622,"field":623,"intro":624,"type":587},9096,"Original Claims Text","original_claims_text","The full text or searchable text of the claims as filed.",{"id":626,"name":627,"field":628,"intro":629,"type":587},9097,"Drawing Description Text","drawing_description_text","Descriptions of the drawings in the original application and related textual disclosures.",{"id":631,"name":632,"field":633,"intro":634,"type":587},9098,"Original Specification Text","original_specification_text","The full text or searchable text of the specification as filed, including detailed embodiments, the summary of the invention, and relevant passages.",[636,640,644,648],{"id":637,"question":638,"answer":639},6427,"Which patent documents are included?","The dataset includes amended claims, the original specification and claims, drawing descriptions, and relevant written opinions from prosecution. It also provides structured amendment units, support evidence chains, and retrieval-ready evidence chunks.",{"id":641,"question":642,"answer":643},6428,"How is amendment support annotated?","Specific claim amendments are split into amendment units and linked to supporting passages in the original specification, original claims, drawing descriptions, or written prosecution opinions. An overall support judgment is also provided.",{"id":645,"question":646,"answer":647},6429,"Which training and evaluation tasks does it support?","It can support patent legal document retrieval, supporting passage localization, amendment-to-evidence linking, amendment support judgment, and evaluation of retrieval and evidence grounding in RAG systems.",{"id":649,"question":650,"answer":651},6430,"How can I obtain the dataset and confirm its license?","Contact the data provider through its listed channel for availability and acquisition details. Before use, verify the license, permitted applications, and requirements for handling patent documents. Specific license terms are not provided in the dataset description.",[653,670,684],{"id":654,"relate_table":655,"relate_id":656,"file_size":572,"file_name":657,"path":8,"duration":572,"cate":483,"file_format":658,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":659,"cate_name":660,"amendment_units":661,"retrieval_chunks":662,"support_evidence":663,"support_judgment":664,"amended_claims_text":665,"office_opinions_text":666,"original_claims_text":667,"drawing_description_text":668,"original_specification_text":669},15132,"union_cubo",1200842183,"样例_3.json","json","{\"amendment_units\": \"[{\\\"amendment_id\\\": \\\"C1\\\", \\\"claim_number\\\": \\\"Claim 1\\\", \\\"amended_text\\\": \\\"the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"The sensor installation manner not specifically limited in the original claim is limited to the probe being buried at a depth of 10 cm to 30 cm below the ground surface.\\\"}, {\\\"amendment_id\\\": \\\"C2\\\", \\\"claim_number\\\": \\\"Claim 2\\\", \\\"amended_text\\\": \\\"the controller performs two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point before irrigation\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"A step of performing two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point is added.\\\"}, {\\\"amendment_id\\\": \\\"C3\\\", \\\"claim_number\\\": \\\"Claim 3\\\", \\\"amended_text\\\": \\\"the irrigation pipeline comprises branches corresponding to a plurality of planting zones\\\", \\\"change_type\\\": \\\"Clarification\\\", \\\"change_summary\\\": \\\"It is clarified that the irrigation pipeline is provided with corresponding branches according to a plurality of planting zones to achieve zoned irrigation.\\\"}]\", \"retrieval_chunks\": \"[{\\\"chunk_id\\\": \\\"C-CH-01\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0014]\\\", \\\"chunk_text\\\": \\\"In order to enable the sensor detection result to reflect the moisture state of the crop root zone, the sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\\\", \\\"retrieval_text\\\": \\\"Greenhouse irrigation; soil moisture sensor; probe burial depth; 10 cm to 30 cm below the ground surface; moisture state of the crop root zone.\\\"}, {\\\"chunk_id\\\": \\\"C-CH-02\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0024]\\\", \\\"chunk_text\\\": \\\"First record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\\\", \\\"retrieval_text\\\": \\\"Soil moisture sensor calibration; dry reference point; saturated reference point; two-point calibration; linear calibration; irrigation controller.\\\"}, {\\\"chunk_id\\\": \\\"C-CH-03\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0029]\\\", \\\"chunk_text\\\": \\\"The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\\\", \\\"retrieval_text\\\": \\\"Greenhouse multiple planting zones; irrigation pipeline branches; branches corresponding to planting zones; independent solenoid valves; zoned irrigation.\\\"}, {\\\"chunk_id\\\": \\\"C-CH-04\\\", \\\"source_document_type\\\": \\\"Original Claims\\\", \\\"paragraph_reference\\\": \\\"Original Claims 2 to 3\\\", \\\"chunk_text\\\": \\\"The probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface; the greenhouse is divided into a plurality of planting zones, and the irrigation pipeline comprises branches corresponding to each planting zone.\\\", \\\"retrieval_text\\\": \\\"Original claims; sensor probe burial depth 10 cm to 30 cm; plurality of planting zones; corresponding irrigation branches; greenhouse zoned irrigation.\\\"}]\", \"support_evidence\": \"[{\\\"amendment_id\\\": \\\"C1\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0014]\\\", \\\"supporting_excerpt\\\": \\\"The sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"Paragraph [0014] directly discloses the burial position of the sensor probe and the depth range of 10 cm to 30 cm, fully supporting C1.\\\"}, {\\\"amendment_id\\\": \\\"C2\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0024]\\\", \\\"supporting_excerpt\\\": \\\"First record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.98, \\\"analysis\\\": \\\"Paragraph [0024] explicitly records the complete process of the dry reference point, the saturated reference point, and calibration according to the two reference points, directly supporting C2.\\\"}, {\\\"amendment_id\\\": \\\"C3\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0029]\\\", \\\"supporting_excerpt\\\": \\\"The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"Paragraph [0029] directly discloses the structural relationship between the plurality of planting zones and the corresponding irrigation branches, and original claim 3 also has the same limitation, fully supporting C3.\\\"}]\", \"support_judgment\": \"{\\\"overall_support\\\": true, \\\"supported_amendment_ids\\\": [\\\"C1\\\", \\\"C2\\\", \\\"C3\\\"], \\\"unsupported_amendment_ids\\\": [], \\\"judgment_summary\\\": \\\"C1 to C3 can all be supported by explicit technical content in the original specification, original claims, or drawing description. The amendments are further limitations on the original system structure, calibration process, and zoned pipeline, and no newly added content beyond the original disclosure scope is found.\\\", \\\"review_required\\\": false}\", \"amended_claims_text\": \"Claim 1: A moisture control system for greenhouse irrigation, comprising a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline, characterized in that the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface, and the controller controls opening and closing of the solenoid valve according to soil moisture content.\\nClaim 2: The moisture control system according to claim 1, characterized in that the controller performs two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point before irrigation.\\nClaim 3: The moisture control system according to claim 1, characterized in that the irrigation pipeline comprises branches corresponding to a plurality of planting zones.\", \"office_opinions_text\": \"The Office Action on page 3 points out that the control logic expression of original claim 1 is relatively general and suggests clarifying the burial depth of the sensor probe and the sensor calibration manner.\\nThe written opinion on page 4 states that the applicant incorporates the content of original claim 2 and paragraph [0024] of the specification into claim 1 and claim 2, and retains the multi-planting-zone branch structure of original claim 3 in claim 3. The examiner considers that the above amendments are further limitations on the original technical solution and do not introduce new technical content.\", \"original_claims_text\": \"Original Claim 1: A greenhouse irrigation moisture control system, comprising a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline, wherein the controller controls opening and closing of the solenoid valve according to soil moisture content.\\nOriginal Claim 2: The system according to original claim 1, characterized in that the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface.\\nOriginal Claim 3: The system according to original claim 1, characterized in that the greenhouse is divided into a plurality of planting zones, and the irrigation pipeline comprises branches corresponding to each planting zone.\", \"drawing_description_text\": \"FIG. 1 is an overall structural diagram of the greenhouse irrigation moisture control system. FIG. 2 is a schematic diagram of the burial position of the soil moisture sensor probe in the soil of a planting zone, with the probe burial depth marked as 10 cm to 30 cm. FIG. 3 is a calibration flowchart for the dry reference point and the saturated reference point. FIG. 4 is a schematic diagram of the connection of a plurality of planting zones and their corresponding irrigation branches.\", \"original_specification_text\": \"[0001] The present invention relates to controlled environment agriculture irrigation control technology, and in particular to a greenhouse moisture control system that automatically controls irrigation based on soil moisture content.\\n[0007] The system comprises a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline. The soil moisture sensor collects the volumetric moisture content of soil in a planting zone, and the controller sends opening and closing control signals to the solenoid valve according to the collection result.\\n[0014] In order to enable the sensor detection result to reflect the moisture state of the crop root zone, the sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\\n[0019] The controller may be provided with an irrigation lower limit and an irrigation stop upper limit. When the detected soil moisture content is lower than the irrigation lower limit, the controller opens the solenoid valve; when the soil moisture content reaches the irrigation stop upper limit, the controller closes the solenoid valve.\\n[0024] After the sensor is installed, first record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\\n[0029] The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\"}","文本","[{\"amendment_id\": \"C1\", \"claim_number\": \"Claim 1\", \"amended_text\": \"the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface\", \"change_type\": \"New\", \"change_summary\": \"The sensor installation manner not specifically limited in the original claim is limited to the probe being buried at a depth of 10 cm to 30 cm below the ground surface.\"}, {\"amendment_id\": \"C2\", \"claim_number\": \"Claim 2\", \"amended_text\": \"the controller performs two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point before irrigation\", \"change_type\": \"New\", \"change_summary\": \"A step of performing two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point is added.\"}, {\"amendment_id\": \"C3\", \"claim_number\": \"Claim 3\", \"amended_text\": \"the irrigation pipeline comprises branches corresponding to a plurality of planting zones\", \"change_type\": \"Clarification\", \"change_summary\": \"It is clarified that the irrigation pipeline is provided with corresponding branches according to a plurality of planting zones to achieve zoned irrigation.\"}]","[{\"chunk_id\": \"C-CH-01\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraph [0014]\", \"chunk_text\": \"In order to enable the sensor detection result to reflect the moisture state of the crop root zone, the sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\", \"retrieval_text\": \"Greenhouse irrigation; soil moisture sensor; probe burial depth; 10 cm to 30 cm below the ground surface; moisture state of the crop root zone.\"}, {\"chunk_id\": \"C-CH-02\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraph [0024]\", \"chunk_text\": \"First record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\", \"retrieval_text\": \"Soil moisture sensor calibration; dry reference point; saturated reference point; two-point calibration; linear calibration; irrigation controller.\"}, {\"chunk_id\": \"C-CH-03\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraph [0029]\", \"chunk_text\": \"The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\", \"retrieval_text\": \"Greenhouse multiple planting zones; irrigation pipeline branches; branches corresponding to planting zones; independent solenoid valves; zoned irrigation.\"}, {\"chunk_id\": \"C-CH-04\", \"source_document_type\": \"Original Claims\", \"paragraph_reference\": \"Original Claims 2 to 3\", \"chunk_text\": \"The probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface; the greenhouse is divided into a plurality of planting zones, and the irrigation pipeline comprises branches corresponding to each planting zone.\", \"retrieval_text\": \"Original claims; sensor probe burial depth 10 cm to 30 cm; plurality of planting zones; corresponding irrigation branches; greenhouse zoned irrigation.\"}]","[{\"amendment_id\": \"C1\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraph [0014]\", \"supporting_excerpt\": \"The sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.99, \"analysis\": \"Paragraph [0014] directly discloses the burial position of the sensor probe and the depth range of 10 cm to 30 cm, fully supporting C1.\"}, {\"amendment_id\": \"C2\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraph [0024]\", \"supporting_excerpt\": \"First record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.98, \"analysis\": \"Paragraph [0024] explicitly records the complete process of the dry reference point, the saturated reference point, and calibration according to the two reference points, directly supporting C2.\"}, {\"amendment_id\": \"C3\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraph [0029]\", \"supporting_excerpt\": \"The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.99, \"analysis\": \"Paragraph [0029] directly discloses the structural relationship between the plurality of planting zones and the corresponding irrigation branches, and original claim 3 also has the same limitation, fully supporting C3.\"}]","{\"overall_support\": true, \"supported_amendment_ids\": [\"C1\", \"C2\", \"C3\"], \"unsupported_amendment_ids\": [], \"judgment_summary\": \"C1 to C3 can all be supported by explicit technical content in the original specification, original claims, or drawing description. The amendments are further limitations on the original system structure, calibration process, and zoned pipeline, and no newly added content beyond the original disclosure scope is found.\", \"review_required\": false}","Claim 1: A moisture control system for greenhouse irrigation, comprising a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline, characterized in that the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface, and the controller controls opening and closing of the solenoid valve according to soil moisture content.\nClaim 2: The moisture control system according to claim 1, characterized in that the controller performs two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point before irrigation.\nClaim 3: The moisture control system according to claim 1, characterized in that the irrigation pipeline comprises branches corresponding to a plurality of planting zones.","The Office Action on page 3 points out that the control logic expression of original claim 1 is relatively general and suggests clarifying the burial depth of the sensor probe and the sensor calibration manner.\nThe written opinion on page 4 states that the applicant incorporates the content of original claim 2 and paragraph [0024] of the specification into claim 1 and claim 2, and retains the multi-planting-zone branch structure of original claim 3 in claim 3. The examiner considers that the above amendments are further limitations on the original technical solution and do not introduce new technical content.","Original Claim 1: A greenhouse irrigation moisture control system, comprising a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline, wherein the controller controls opening and closing of the solenoid valve according to soil moisture content.\nOriginal Claim 2: The system according to original claim 1, characterized in that the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface.\nOriginal Claim 3: The system according to original claim 1, characterized in that the greenhouse is divided into a plurality of planting zones, and the irrigation pipeline comprises branches corresponding to each planting zone.","FIG. 1 is an overall structural diagram of the greenhouse irrigation moisture control system. FIG. 2 is a schematic diagram of the burial position of the soil moisture sensor probe in the soil of a planting zone, with the probe burial depth marked as 10 cm to 30 cm. FIG. 3 is a calibration flowchart for the dry reference point and the saturated reference point. FIG. 4 is a schematic diagram of the connection of a plurality of planting zones and their corresponding irrigation branches.","[0001] The present invention relates to controlled environment agriculture irrigation control technology, and in particular to a greenhouse moisture control system that automatically controls irrigation based on soil moisture content.\n[0007] The system comprises a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline. The soil moisture sensor collects the volumetric moisture content of soil in a planting zone, and the controller sends opening and closing control signals to the solenoid valve according to the collection result.\n[0014] In order to enable the sensor detection result to reflect the moisture state of the crop root zone, the sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\n[0019] The controller may be provided with an irrigation lower limit and an irrigation stop upper limit. When the detected soil moisture content is lower than the irrigation lower limit, the controller opens the solenoid valve; when the soil moisture content reaches the irrigation stop upper limit, the controller closes the solenoid valve.\n[0024] After the sensor is installed, first record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\n[0029] The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.",{"id":671,"relate_table":655,"relate_id":672,"file_size":572,"file_name":673,"path":8,"duration":572,"cate":483,"file_format":658,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":674,"cate_name":660,"amendment_units":675,"retrieval_chunks":676,"support_evidence":677,"support_judgment":678,"amended_claims_text":679,"office_opinions_text":680,"original_claims_text":681,"drawing_description_text":682,"original_specification_text":683},15131,469014014,"样例_2.json","{\"amendment_units\": \"[{\\\"amendment_id\\\": \\\"B1\\\", \\\"claim_number\\\": \\\"Claim 1\\\", \\\"amended_text\\\": \\\"perform temporal smoothing over five consecutive frames on detection results with a confidence lower than 0.85, and use unlabeled field samples for local recalibration\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"Three limitations are added: a specific confidence threshold, a five-frame temporal smoothing window, and local recalibration using unlabeled field samples, wherein the local recalibration is not explicitly recorded in the original application documents.\\\"}, {\\\"amendment_id\\\": \\\"B2\\\", \\\"claim_number\\\": \\\"Claim 2\\\", \\\"amended_text\\\": \\\"write the defect category, defect position, and detection time into a structured detection record\\\", \\\"change_type\\\": \\\"Clarification\\\", \\\"change_summary\\\": \\\"The defect category, position, and time information already disclosed in the original documents are further clarified as a structured detection record.\\\"}]\", \"retrieval_chunks\": \"[{\\\"chunk_id\\\": \\\"B-CH-01\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0017]\\\", \\\"chunk_text\\\": \\\"When the confidence output by the model is lower than 0.80, temporal smoothing can be performed in combination with detection results of adjacent image frames to reduce single-frame false detection. The temporal smoothing window can be set to three frames or five frames.\\\", \\\"retrieval_text\\\": \\\"Conveyor belt defect detection; confidence lower than 0.80; adjacent image frames; temporal smoothing; three-frame or five-frame window; reducing single-frame false detection.\\\"}, {\\\"chunk_id\\\": \\\"B-CH-02\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraphs [0023] to [0027]\\\", \\\"chunk_text\\\": \\\"The detection result may include a defect category, defect position, and detection time, and may be written by a recording module into a structured detection record.\\\", \\\"retrieval_text\\\": \\\"Machine vision detection result; defect category; defect position; detection time; structured detection record; recording module; detection result traceability.\\\"}, {\\\"chunk_id\\\": \\\"B-CH-03\\\", \\\"source_document_type\\\": \\\"Original Claims\\\", \\\"paragraph_reference\\\": \\\"Original Claims 2 to 3\\\", \\\"chunk_text\\\": \\\"The model outputs the confidence of the detection result and performs temporal smoothing according to adjacent image frames; the detection result comprises a defect category, defect position, and detection time.\\\", \\\"retrieval_text\\\": \\\"Original claims; model confidence; temporal smoothing of adjacent image frames; defect category, position, and time; visual inspection.\\\"}, {\\\"chunk_id\\\": \\\"B-CH-04\\\", \\\"source_document_type\\\": \\\"Office Action\\\", \\\"paragraph_reference\\\": \\\"Pages 4 to 5\\\", \\\"chunk_text\\\": \\\"Paragraph [0017] of the specification can support five-frame temporal smoothing, but the original specification and the original claims do not record local recalibration using unlabeled field samples.\\\", \\\"retrieval_text\\\": \\\"Basis check; five-frame temporal smoothing has basis; unlabeled field samples; local recalibration; lack of original disclosure basis; office action.\\\"}]\", \"support_evidence\": \"[{\\\"amendment_id\\\": \\\"B1\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0017]\\\", \\\"supporting_excerpt\\\": \\\"When the confidence output by the model is lower than 0.80, temporal smoothing can be performed in combination with detection results of adjacent image frames. The temporal smoothing window can be set to three frames or five frames.\\\", \\\"support_relation\\\": \\\"Partial support\\\", \\\"evidence_strength\\\": 0.56, \\\"analysis\\\": \\\"Paragraph [0017] supports temporal smoothing and a five-frame window, but the recorded threshold is lower than 0.80 rather than 0.85, and it does not disclose local recalibration using unlabeled field samples, so it can only partially support B1.\\\"}, {\\\"amendment_id\\\": \\\"B1\\\", \\\"source_document_type\\\": \\\"Office Action\\\", \\\"source_paragraph_reference\\\": \\\"Pages 4 to 5\\\", \\\"supporting_excerpt\\\": \\\"Paragraph [0017] of the specification can support five-frame temporal smoothing, but the original specification and the original claims do not record local recalibration using unlabeled field samples.\\\", \\\"support_relation\\\": \\\"Not supported\\\", \\\"evidence_strength\\\": 0.08, \\\"analysis\\\": \\\"The Office Action clearly points out that local recalibration has no original disclosure basis. This document can prove the examination evaluation result, but cannot serve as an original disclosure source for the newly added technical feature.\\\"}, {\\\"amendment_id\\\": \\\"B2\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraphs [0023] to [0027]\\\", \\\"supporting_excerpt\\\": \\\"The detection result may include a defect category, defect position, and detection time, and may be written by a recording module into a structured detection record.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"Paragraph [0023] directly discloses the three types of detection information and the relationship of writing them into a structured detection record, and paragraph [0027] further explains the storage purpose of the structured record, fully supporting B2.\\\"}]\", \"support_judgment\": \"{\\\"overall_support\\\": false, \\\"supported_amendment_ids\\\": [\\\"B2\\\"], \\\"unsupported_amendment_ids\\\": [\\\"B1\\\"], \\\"judgment_summary\\\": \\\"B2 has direct basis in the original specification. The five-frame temporal smoothing in B1 can be supported, but the 0.85 threshold and local recalibration using unlabeled field samples are not fully disclosed, so it is a composite amendment unit that is only partially supported, and the overall amendment does not have sufficient basis.\\\", \\\"review_required\\\": true}\", \"amended_claims_text\": \"Claim 1: A machine vision-based conveyor belt surface defect detection method, comprising collecting a conveyor belt surface image, inputting the image into a defect classification model and outputting a defect category, characterized in that the defect classification model performs temporal smoothing over five consecutive frames on detection results with a confidence lower than 0.85, and uses unlabeled field samples for local recalibration.\\nClaim 2: The method according to claim 1, characterized in that the defect category, defect position, and detection time are written into a structured detection record.\", \"office_opinions_text\": \"The Office Action on page 4 points out that original claim 2 already records temporal smoothing according to adjacent image frames, but the original documents do not explicitly record the confidence threshold of 0.85.\\nThe written opinion on page 5 proposes limiting the temporal smoothing window to five consecutive frames and adding the technical feature of local recalibration using unlabeled field samples. The Office Action considers that paragraph [0017] of the specification can support five-frame temporal smoothing, but the original specification and the original claims do not record local recalibration using unlabeled field samples, so this newly added feature lacks direct and clear basis.\", \"original_claims_text\": \"Original Claim 1: A machine vision-based conveyor belt surface defect detection method, comprising collecting a conveyor belt surface image, inputting the image into a defect classification model, and outputting a defect category.\\nOriginal Claim 2: The method according to original claim 1, characterized in that the model outputs the confidence of the detection result and performs temporal smoothing according to adjacent image frames.\\nOriginal Claim 3: The method according to original claim 1, characterized in that the detection result comprises a defect category, defect position, and detection time.\", \"drawing_description_text\": \"FIG. 1 is an overall structural schematic diagram of the conveyor belt surface defect detection system, comprising an industrial camera, a conveyor belt, a processor, and a recording module. FIG. 2 is a processing flowchart of inputting consecutive image frames into the defect classification model. FIG. 3 is a schematic diagram of writing detection results into a structured detection record. The drawings do not show a processing module for performing local recalibration of the model using unlabeled samples.\", \"original_specification_text\": \"[0001] The present invention relates to machine vision inspection technology, and in particular to an image detection method for conveyor belt surface defect recognition.\\n[0006] An industrial camera continuously collects surface images during operation of the conveyor belt and inputs the images into a pre-trained defect classification model. The model outputs a defect category and its confidence.\\n[0017] When the confidence output by the model is lower than 0.80, temporal smoothing can be performed in combination with detection results of adjacent image frames to reduce single-frame false detection. The temporal smoothing window can be set to three frames or five frames.\\n[0023] The detection result may include a defect category, defect position, and detection time, and may be written by a recording module into a structured detection record.\\n[0027] In one embodiment, the structured detection record is stored in a field-based text format for subsequent statistical analysis and traceability.\"}","[{\"amendment_id\": \"B1\", \"claim_number\": \"Claim 1\", \"amended_text\": \"perform temporal smoothing over five consecutive frames on detection results with a confidence lower than 0.85, and use unlabeled field samples for local recalibration\", \"change_type\": \"New\", \"change_summary\": \"Three limitations are added: a specific confidence threshold, a five-frame temporal smoothing window, and local recalibration using unlabeled field samples, wherein the local recalibration is not explicitly recorded in the original application documents.\"}, {\"amendment_id\": \"B2\", \"claim_number\": \"Claim 2\", \"amended_text\": \"write the defect category, defect position, and detection time into a structured detection record\", \"change_type\": \"Clarification\", \"change_summary\": \"The defect category, position, and time information already disclosed in the original documents are further clarified as a structured detection record.\"}]","[{\"chunk_id\": \"B-CH-01\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraph [0017]\", \"chunk_text\": \"When the confidence output by the model is lower than 0.80, temporal smoothing can be performed in combination with detection results of adjacent image frames to reduce single-frame false detection. The temporal smoothing window can be set to three frames or five frames.\", \"retrieval_text\": \"Conveyor belt defect detection; confidence lower than 0.80; adjacent image frames; temporal smoothing; three-frame or five-frame window; reducing single-frame false detection.\"}, {\"chunk_id\": \"B-CH-02\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraphs [0023] to [0027]\", \"chunk_text\": \"The detection result may include a defect category, defect position, and detection time, and may be written by a recording module into a structured detection record.\", \"retrieval_text\": \"Machine vision detection result; defect category; defect position; detection time; structured detection record; recording module; detection result traceability.\"}, {\"chunk_id\": \"B-CH-03\", \"source_document_type\": \"Original Claims\", \"paragraph_reference\": \"Original Claims 2 to 3\", \"chunk_text\": \"The model outputs the confidence of the detection result and performs temporal smoothing according to adjacent image frames; the detection result comprises a defect category, defect position, and detection time.\", \"retrieval_text\": \"Original claims; model confidence; temporal smoothing of adjacent image frames; defect category, position, and time; visual inspection.\"}, {\"chunk_id\": \"B-CH-04\", \"source_document_type\": \"Office Action\", \"paragraph_reference\": \"Pages 4 to 5\", \"chunk_text\": \"Paragraph [0017] of the specification can support five-frame temporal smoothing, but the original specification and the original claims do not record local recalibration using unlabeled field samples.\", \"retrieval_text\": \"Basis check; five-frame temporal smoothing has basis; unlabeled field samples; local recalibration; lack of original disclosure basis; office action.\"}]","[{\"amendment_id\": \"B1\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraph [0017]\", \"supporting_excerpt\": \"When the confidence output by the model is lower than 0.80, temporal smoothing can be performed in combination with detection results of adjacent image frames. The temporal smoothing window can be set to three frames or five frames.\", \"support_relation\": \"Partial support\", \"evidence_strength\": 0.56, \"analysis\": \"Paragraph [0017] supports temporal smoothing and a five-frame window, but the recorded threshold is lower than 0.80 rather than 0.85, and it does not disclose local recalibration using unlabeled field samples, so it can only partially support B1.\"}, {\"amendment_id\": \"B1\", \"source_document_type\": \"Office Action\", \"source_paragraph_reference\": \"Pages 4 to 5\", \"supporting_excerpt\": \"Paragraph [0017] of the specification can support five-frame temporal smoothing, but the original specification and the original claims do not record local recalibration using unlabeled field samples.\", \"support_relation\": \"Not supported\", \"evidence_strength\": 0.08, \"analysis\": \"The Office Action clearly points out that local recalibration has no original disclosure basis. This document can prove the examination evaluation result, but cannot serve as an original disclosure source for the newly added technical feature.\"}, {\"amendment_id\": \"B2\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraphs [0023] to [0027]\", \"supporting_excerpt\": \"The detection result may include a defect category, defect position, and detection time, and may be written by a recording module into a structured detection record.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.99, \"analysis\": \"Paragraph [0023] directly discloses the three types of detection information and the relationship of writing them into a structured detection record, and paragraph [0027] further explains the storage purpose of the structured record, fully supporting B2.\"}]","{\"overall_support\": false, \"supported_amendment_ids\": [\"B2\"], \"unsupported_amendment_ids\": [\"B1\"], \"judgment_summary\": \"B2 has direct basis in the original specification. The five-frame temporal smoothing in B1 can be supported, but the 0.85 threshold and local recalibration using unlabeled field samples are not fully disclosed, so it is a composite amendment unit that is only partially supported, and the overall amendment does not have sufficient basis.\", \"review_required\": true}","Claim 1: A machine vision-based conveyor belt surface defect detection method, comprising collecting a conveyor belt surface image, inputting the image into a defect classification model and outputting a defect category, characterized in that the defect classification model performs temporal smoothing over five consecutive frames on detection results with a confidence lower than 0.85, and uses unlabeled field samples for local recalibration.\nClaim 2: The method according to claim 1, characterized in that the defect category, defect position, and detection time are written into a structured detection record.","The Office Action on page 4 points out that original claim 2 already records temporal smoothing according to adjacent image frames, but the original documents do not explicitly record the confidence threshold of 0.85.\nThe written opinion on page 5 proposes limiting the temporal smoothing window to five consecutive frames and adding the technical feature of local recalibration using unlabeled field samples. The Office Action considers that paragraph [0017] of the specification can support five-frame temporal smoothing, but the original specification and the original claims do not record local recalibration using unlabeled field samples, so this newly added feature lacks direct and clear basis.","Original Claim 1: A machine vision-based conveyor belt surface defect detection method, comprising collecting a conveyor belt surface image, inputting the image into a defect classification model, and outputting a defect category.\nOriginal Claim 2: The method according to original claim 1, characterized in that the model outputs the confidence of the detection result and performs temporal smoothing according to adjacent image frames.\nOriginal Claim 3: The method according to original claim 1, characterized in that the detection result comprises a defect category, defect position, and detection time.","FIG. 1 is an overall structural schematic diagram of the conveyor belt surface defect detection system, comprising an industrial camera, a conveyor belt, a processor, and a recording module. FIG. 2 is a processing flowchart of inputting consecutive image frames into the defect classification model. FIG. 3 is a schematic diagram of writing detection results into a structured detection record. The drawings do not show a processing module for performing local recalibration of the model using unlabeled samples.","[0001] The present invention relates to machine vision inspection technology, and in particular to an image detection method for conveyor belt surface defect recognition.\n[0006] An industrial camera continuously collects surface images during operation of the conveyor belt and inputs the images into a pre-trained defect classification model. The model outputs a defect category and its confidence.\n[0017] When the confidence output by the model is lower than 0.80, temporal smoothing can be performed in combination with detection results of adjacent image frames to reduce single-frame false detection. The temporal smoothing window can be set to three frames or five frames.\n[0023] The detection result may include a defect category, defect position, and detection time, and may be written by a recording module into a structured detection record.\n[0027] In one embodiment, the structured detection record is stored in a field-based text format for subsequent statistical analysis and traceability.",{"id":685,"relate_table":655,"relate_id":686,"file_size":572,"file_name":687,"path":8,"duration":572,"cate":483,"file_format":658,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":688,"cate_name":660,"amendment_units":689,"retrieval_chunks":690,"support_evidence":691,"support_judgment":692,"amended_claims_text":693,"office_opinions_text":694,"original_claims_text":695,"drawing_description_text":696,"original_specification_text":697},15130,499427924,"样例_1.json","{\"amendment_units\": \"[{\\\"amendment_id\\\": \\\"A1\\\", \\\"claim_number\\\": \\\"Claim 1\\\", \\\"amended_text\\\": \\\"A phase-change thermally conductive layer is arranged between the thermally conductive plate and the plurality of battery cells, and the phase-change temperature of the phase-change thermally conductive layer is 38°C to 45°C\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"A phase-change thermally conductive layer is added between the original thermally conductive plate and battery cell structure, and its phase-change temperature range is limited to 38°C to 45°C.\\\"}, {\\\"amendment_id\\\": \\\"A2\\\", \\\"claim_number\\\": \\\"Claim 1\\\", \\\"amended_text\\\": \\\"The temperature sensor is arranged between two adjacent battery cells and is electrically connected to a controller\\\", \\\"change_type\\\": \\\"Clarification\\\", \\\"change_summary\\\": \\\"It is clarified that the temperature sensor is located between two adjacent battery cells, and its electrical connection relationship with the controller is supplemented.\\\"}, {\\\"amendment_id\\\": \\\"A3\\\", \\\"claim_number\\\": \\\"Claim 2\\\", \\\"amended_text\\\": \\\"The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"A control logic is added in which the controller adjusts the opening degree of the three-way regulating valve according to the temperature detection result.\\\"}]\", \"retrieval_chunks\": \"[{\\\"chunk_id\\\": \\\"A-CH-01\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0021]\\\", \\\"chunk_text\\\": \\\"The phase-change thermally conductive layer preferably uses a composite paraffin material with a phase-change temperature of 38°C to 45°C. This temperature range can take into account both the normal operating temperature of the battery cells and the overheating suppression effect.\\\", \\\"retrieval_text\\\": \\\"Battery module thermal management; phase-change thermally conductive layer; phase-change temperature 38°C to 45°C; composite paraffin; between the thermally conductive plate and battery cells; overheating suppression.\\\"}, {\\\"chunk_id\\\": \\\"A-CH-02\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0024]\\\", \\\"chunk_text\\\": \\\"The temperature sensor is arranged between two adjacent battery cells to detect the local temperature at the gap between the battery cells, and sends a detection signal to the controller.\\\", \\\"retrieval_text\\\": \\\"Temperature sensor arrangement position; between two adjacent battery cells; detecting temperature at the battery cell gap; signal connection between the sensor and the controller.\\\"}, {\\\"chunk_id\\\": \\\"A-CH-03\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraphs [0028] to [0032]\\\", \\\"chunk_text\\\": \\\"The liquid cooling circuit comprises a circulation pump, a radiator, and a three-way regulating valve. The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor, thereby changing the coolant flow rate.\\\", \\\"retrieval_text\\\": \\\"Liquid cooling circuit; circulation pump; radiator; three-way regulating valve; controller; adjusting valve opening degree according to the temperature detected by the temperature sensor; changing coolant flow rate.\\\"}, {\\\"chunk_id\\\": \\\"A-CH-04\\\", \\\"source_document_type\\\": \\\"Original Claims\\\", \\\"paragraph_reference\\\": \\\"Original Claims 2 to 3\\\", \\\"chunk_text\\\": \\\"The liquid cooling circuit comprises a pump, a radiator, and a three-way regulating valve; the temperature sensor is arranged between adjacent battery cells.\\\", \\\"retrieval_text\\\": \\\"Original claims; three-way regulating valve; temperature sensor between adjacent battery cells; structural limitations of the battery thermal management device.\\\"}]\", \"support_evidence\": \"[{\\\"amendment_id\\\": \\\"A1\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraphs [0005] and [0021]\\\", \\\"supporting_excerpt\\\": \\\"A phase-change thermally conductive layer may be arranged between the thermally conductive plate and the battery cells; the phase-change thermally conductive layer preferably uses a composite paraffin material with a phase-change temperature of 38°C to 45°C.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"Paragraph [0005] directly discloses the structural relationship between the phase-change thermally conductive layer, the thermally conductive plate, and the battery cells, and paragraph [0021] directly discloses the phase-change temperature range of 38°C to 45°C; together they cover all technical features of A1.\\\"}, {\\\"amendment_id\\\": \\\"A2\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0024]\\\", \\\"supporting_excerpt\\\": \\\"The temperature sensor is arranged between two adjacent battery cells to detect the local temperature at the gap between the battery cells, and sends a detection signal to the controller.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"The original specification explicitly records that the sensor is located between two adjacent battery cells and that it sends a detection signal to the controller, directly supporting the amended arrangement position and electrical connection relationship.\\\"}, {\\\"amendment_id\\\": \\\"A3\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraphs [0028] and [0032]\\\", \\\"supporting_excerpt\\\": \\\"The liquid cooling circuit comprises a circulation pump, a radiator, and a three-way regulating valve. The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.98, \\\"analysis\\\": \\\"Paragraphs [0028] and [0032] respectively disclose the three-way regulating valve and the control relationship in which the controller adjusts the valve opening degree based on temperature, directly supporting A3.\\\"}]\", \"support_judgment\": \"{\\\"overall_support\\\": true, \\\"supported_amendment_ids\\\": [\\\"A1\\\", \\\"A2\\\", \\\"A3\\\"], \\\"unsupported_amendment_ids\\\": [], \\\"judgment_summary\\\": \\\"A1 to A3 can all find clear corresponding content in the original specification or original claims, the amendments do not exceed the original disclosure scope, and they have sufficient basis in the original application documents.\\\", \\\"review_required\\\": false}\", \"amended_claims_text\": \"Claim 1: A thermal management device for a battery module, comprising a housing, a plurality of battery cells arranged in the housing, a thermally conductive plate in thermal contact with the plurality of battery cells, a liquid cooling circuit connected to the thermally conductive plate, and a temperature sensor, characterized in that a phase-change thermally conductive layer is arranged between the thermally conductive plate and the plurality of battery cells, and the phase-change temperature of the phase-change thermally conductive layer is 38°C to 45°C; the temperature sensor is arranged between two adjacent battery cells and is electrically connected to a controller.\\nClaim 2: The thermal management device according to claim 1, characterized in that the liquid cooling circuit comprises a pump, a radiator, and a three-way regulating valve, and the controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor.\", \"office_opinions_text\": \"The Office Action on page 2 points out that original claims 1 to 3 do not clearly define the operating temperature range of the phase-change material and the specific arrangement position of the temperature sensor.\\nThe written opinion on page 3 states that the applicant incorporates the phase-change temperature range of 38°C to 45°C recorded in paragraph [0021] of the original specification and the sensor arrangement between adjacent battery cells recorded in paragraph [0024] into claim 1 respectively, and does not introduce technical features not recorded in the original application documents. The examiner considers that the above amendments have basis in the original specification and the drawing description.\", \"original_claims_text\": \"Original Claim 1: A battery module thermal management device, comprising a housing, a plurality of battery cells, a thermally conductive plate, a liquid cooling circuit, and a temperature sensor.\\nOriginal Claim 2: The thermal management device according to original claim 1, characterized in that the liquid cooling circuit comprises a pump, a radiator, and a three-way regulating valve.\\nOriginal Claim 3: The thermal management device according to original claim 1, characterized in that the temperature sensor is arranged between adjacent battery cells.\", \"drawing_description_text\": \"FIG. 1 is an overall structural schematic diagram of the battery module thermal management device. FIG. 2 is a partial cross-sectional view of the battery cells, the phase-change thermally conductive layer, and the thermally conductive plate. FIG. 3 is a schematic diagram of the connection of the liquid cooling circuit and the three-way regulating valve. In FIG. 2, the battery cells are labeled 101, the phase-change thermally conductive layer is labeled 102, and the thermally conductive plate is labeled 103; in FIG. 3, the circulation pump is labeled 201, the radiator is labeled 202, and the three-way regulating valve is labeled 203.\", \"original_specification_text\": \"[0001] The present invention relates to battery thermal management technology, and in particular to a thermal management device that uses a liquid cooling circuit and a phase-change thermally conductive material to reduce the temperature difference of a battery module.\\n[0005] In one embodiment, a plurality of battery cells are installed in a housing, the sides of the battery cells are attached to an aluminum thermally conductive plate, and the thermally conductive plate is connected to a liquid cooling circuit. A phase-change thermally conductive layer may be arranged between the thermally conductive plate and the battery cells to absorb part of the heat when the temperature of the battery cells rises.\\n[0021] The phase-change thermally conductive layer preferably uses a composite paraffin material with a phase-change temperature of 38°C to 45°C. This temperature range can take into account both the normal operating temperature of the battery cells and the overheating suppression effect.\\n[0024] The temperature sensor is arranged between two adjacent battery cells to detect the local temperature at the gap between the battery cells, and sends a detection signal to the controller.\\n[0028] The liquid cooling circuit comprises a circulation pump, a radiator, and a three-way regulating valve. The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor, thereby changing the coolant flow rate.\\n[0032] When the temperature is below a set threshold, the controller reduces the opening degree of the three-way regulating valve; when the temperature reaches the set threshold, the controller increases the valve opening degree to reduce the temperature of the thermally conductive plate and the battery cells.\"}","[{\"amendment_id\": \"A1\", \"claim_number\": \"Claim 1\", \"amended_text\": \"A phase-change thermally conductive layer is arranged between the thermally conductive plate and the plurality of battery cells, and the phase-change temperature of the phase-change thermally conductive layer is 38°C to 45°C\", \"change_type\": \"New\", \"change_summary\": \"A phase-change thermally conductive layer is added between the original thermally conductive plate and battery cell structure, and its phase-change temperature range is limited to 38°C to 45°C.\"}, {\"amendment_id\": \"A2\", \"claim_number\": \"Claim 1\", \"amended_text\": \"The temperature sensor is arranged between two adjacent battery cells and is electrically connected to a controller\", \"change_type\": \"Clarification\", \"change_summary\": \"It is clarified that the temperature sensor is located between two adjacent battery cells, and its electrical connection relationship with the controller is supplemented.\"}, {\"amendment_id\": \"A3\", \"claim_number\": \"Claim 2\", \"amended_text\": \"The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor\", \"change_type\": \"New\", \"change_summary\": \"A control logic is added in which the controller adjusts the opening degree of the three-way regulating valve according to the temperature detection result.\"}]","[{\"chunk_id\": \"A-CH-01\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraph [0021]\", \"chunk_text\": \"The phase-change thermally conductive layer preferably uses a composite paraffin material with a phase-change temperature of 38°C to 45°C. This temperature range can take into account both the normal operating temperature of the battery cells and the overheating suppression effect.\", \"retrieval_text\": \"Battery module thermal management; phase-change thermally conductive layer; phase-change temperature 38°C to 45°C; composite paraffin; between the thermally conductive plate and battery cells; overheating suppression.\"}, {\"chunk_id\": \"A-CH-02\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraph [0024]\", \"chunk_text\": \"The temperature sensor is arranged between two adjacent battery cells to detect the local temperature at the gap between the battery cells, and sends a detection signal to the controller.\", \"retrieval_text\": \"Temperature sensor arrangement position; between two adjacent battery cells; detecting temperature at the battery cell gap; signal connection between the sensor and the controller.\"}, {\"chunk_id\": \"A-CH-03\", \"source_document_type\": \"Original Specification\", \"paragraph_reference\": \"Paragraphs [0028] to [0032]\", \"chunk_text\": \"The liquid cooling circuit comprises a circulation pump, a radiator, and a three-way regulating valve. The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor, thereby changing the coolant flow rate.\", \"retrieval_text\": \"Liquid cooling circuit; circulation pump; radiator; three-way regulating valve; controller; adjusting valve opening degree according to the temperature detected by the temperature sensor; changing coolant flow rate.\"}, {\"chunk_id\": \"A-CH-04\", \"source_document_type\": \"Original Claims\", \"paragraph_reference\": \"Original Claims 2 to 3\", \"chunk_text\": \"The liquid cooling circuit comprises a pump, a radiator, and a three-way regulating valve; the temperature sensor is arranged between adjacent battery cells.\", \"retrieval_text\": \"Original claims; three-way regulating valve; temperature sensor between adjacent battery cells; structural limitations of the battery thermal management device.\"}]","[{\"amendment_id\": \"A1\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraphs [0005] and [0021]\", \"supporting_excerpt\": \"A phase-change thermally conductive layer may be arranged between the thermally conductive plate and the battery cells; the phase-change thermally conductive layer preferably uses a composite paraffin material with a phase-change temperature of 38°C to 45°C.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.99, \"analysis\": \"Paragraph [0005] directly discloses the structural relationship between the phase-change thermally conductive layer, the thermally conductive plate, and the battery cells, and paragraph [0021] directly discloses the phase-change temperature range of 38°C to 45°C; together they cover all technical features of A1.\"}, {\"amendment_id\": \"A2\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraph [0024]\", \"supporting_excerpt\": \"The temperature sensor is arranged between two adjacent battery cells to detect the local temperature at the gap between the battery cells, and sends a detection signal to the controller.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.99, \"analysis\": \"The original specification explicitly records that the sensor is located between two adjacent battery cells and that it sends a detection signal to the controller, directly supporting the amended arrangement position and electrical connection relationship.\"}, {\"amendment_id\": \"A3\", \"source_document_type\": \"Original Specification\", \"source_paragraph_reference\": \"Paragraphs [0028] and [0032]\", \"supporting_excerpt\": \"The liquid cooling circuit comprises a circulation pump, a radiator, and a three-way regulating valve. The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor.\", \"support_relation\": \"Direct support\", \"evidence_strength\": 0.98, \"analysis\": \"Paragraphs [0028] and [0032] respectively disclose the three-way regulating valve and the control relationship in which the controller adjusts the valve opening degree based on temperature, directly supporting A3.\"}]","{\"overall_support\": true, \"supported_amendment_ids\": [\"A1\", \"A2\", \"A3\"], \"unsupported_amendment_ids\": [], \"judgment_summary\": \"A1 to A3 can all find clear corresponding content in the original specification or original claims, the amendments do not exceed the original disclosure scope, and they have sufficient basis in the original application documents.\", \"review_required\": false}","Claim 1: A thermal management device for a battery module, comprising a housing, a plurality of battery cells arranged in the housing, a thermally conductive plate in thermal contact with the plurality of battery cells, a liquid cooling circuit connected to the thermally conductive plate, and a temperature sensor, characterized in that a phase-change thermally conductive layer is arranged between the thermally conductive plate and the plurality of battery cells, and the phase-change temperature of the phase-change thermally conductive layer is 38°C to 45°C; the temperature sensor is arranged between two adjacent battery cells and is electrically connected to a controller.\nClaim 2: The thermal management device according to claim 1, characterized in that the liquid cooling circuit comprises a pump, a radiator, and a three-way regulating valve, and the controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor.","The Office Action on page 2 points out that original claims 1 to 3 do not clearly define the operating temperature range of the phase-change material and the specific arrangement position of the temperature sensor.\nThe written opinion on page 3 states that the applicant incorporates the phase-change temperature range of 38°C to 45°C recorded in paragraph [0021] of the original specification and the sensor arrangement between adjacent battery cells recorded in paragraph [0024] into claim 1 respectively, and does not introduce technical features not recorded in the original application documents. The examiner considers that the above amendments have basis in the original specification and the drawing description.","Original Claim 1: A battery module thermal management device, comprising a housing, a plurality of battery cells, a thermally conductive plate, a liquid cooling circuit, and a temperature sensor.\nOriginal Claim 2: The thermal management device according to original claim 1, characterized in that the liquid cooling circuit comprises a pump, a radiator, and a three-way regulating valve.\nOriginal Claim 3: The thermal management device according to original claim 1, characterized in that the temperature sensor is arranged between adjacent battery cells.","FIG. 1 is an overall structural schematic diagram of the battery module thermal management device. FIG. 2 is a partial cross-sectional view of the battery cells, the phase-change thermally conductive layer, and the thermally conductive plate. FIG. 3 is a schematic diagram of the connection of the liquid cooling circuit and the three-way regulating valve. In FIG. 2, the battery cells are labeled 101, the phase-change thermally conductive layer is labeled 102, and the thermally conductive plate is labeled 103; in FIG. 3, the circulation pump is labeled 201, the radiator is labeled 202, and the three-way regulating valve is labeled 203.","[0001] The present invention relates to battery thermal management technology, and in particular to a thermal management device that uses a liquid cooling circuit and a phase-change thermally conductive material to reduce the temperature difference of a battery module.\n[0005] In one embodiment, a plurality of battery cells are installed in a housing, the sides of the battery cells are attached to an aluminum thermally conductive plate, and the thermally conductive plate is connected to a liquid cooling circuit. A phase-change thermally conductive layer may be arranged between the thermally conductive plate and the battery cells to absorb part of the heat when the temperature of the battery cells rises.\n[0021] The phase-change thermally conductive layer preferably uses a composite paraffin material with a phase-change temperature of 38°C to 45°C. This temperature range can take into account both the normal operating temperature of the battery cells and the overheating suppression effect.\n[0024] The temperature sensor is arranged between two adjacent battery cells to detect the local temperature at the gap between the battery cells, and sends a detection signal to the controller.\n[0028] The liquid cooling circuit comprises a circulation pump, a radiator, and a three-way regulating valve. The controller adjusts the opening degree of the three-way regulating valve according to the temperature detected by the temperature sensor, thereby changing the coolant flow rate.\n[0032] When the temperature is below a set threshold, the controller reduces the opening degree of the three-way regulating valve; when the temperature reaches the set threshold, the controller increases the valve opening degree to reduce the temperature of the thermally conductive plate and the battery cells.","{\"amendment_units\":\"[{\\\"amendment_id\\\": \\\"C1\\\", \\\"claim_number\\\": \\\"Claim 1\\\", \\\"amended_text\\\": \\\"the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"The sensor installation manner not specifically limited in the original claim is limited to the probe being buried at a depth of 10 cm to 30 cm below the ground surface.\\\"}, {\\\"amendment_id\\\": \\\"C2\\\", \\\"claim_number\\\": \\\"Claim 2\\\", \\\"amended_text\\\": \\\"the controller performs two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point before irrigation\\\", \\\"change_type\\\": \\\"New\\\", \\\"change_summary\\\": \\\"A step of performing two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point is added.\\\"}, {\\\"amendment_id\\\": \\\"C3\\\", \\\"claim_number\\\": \\\"Claim 3\\\", \\\"amended_text\\\": \\\"the irrigation pipeline comprises branches corresponding to a plurality of planting zones\\\", \\\"change_type\\\": \\\"Clarification\\\", \\\"change_summary\\\": \\\"It is clarified that the irrigation pipeline is provided with corresponding branches according to a plurality of planting zones to achieve zoned irrigation.\\\"}]\",\"retrieval_chunks\":\"[{\\\"chunk_id\\\": \\\"C-CH-01\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0014]\\\", \\\"chunk_text\\\": \\\"In order to enable the sensor detection result to reflect the moisture state of the crop root zone, the sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\\\", \\\"retrieval_text\\\": \\\"Greenhouse irrigation; soil moisture sensor; probe burial depth; 10 cm to 30 cm below the ground surface; moisture state of the crop root zone.\\\"}, {\\\"chunk_id\\\": \\\"C-CH-02\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0024]\\\", \\\"chunk_text\\\": \\\"First record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\\\", \\\"retrieval_text\\\": \\\"Soil moisture sensor calibration; dry reference point; saturated reference point; two-point calibration; linear calibration; irrigation controller.\\\"}, {\\\"chunk_id\\\": \\\"C-CH-03\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"paragraph_reference\\\": \\\"Paragraph [0029]\\\", \\\"chunk_text\\\": \\\"The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\\\", \\\"retrieval_text\\\": \\\"Greenhouse multiple planting zones; irrigation pipeline branches; branches corresponding to planting zones; independent solenoid valves; zoned irrigation.\\\"}, {\\\"chunk_id\\\": \\\"C-CH-04\\\", \\\"source_document_type\\\": \\\"Original Claims\\\", \\\"paragraph_reference\\\": \\\"Original Claims 2 to 3\\\", \\\"chunk_text\\\": \\\"The probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface; the greenhouse is divided into a plurality of planting zones, and the irrigation pipeline comprises branches corresponding to each planting zone.\\\", \\\"retrieval_text\\\": \\\"Original claims; sensor probe burial depth 10 cm to 30 cm; plurality of planting zones; corresponding irrigation branches; greenhouse zoned irrigation.\\\"}]\",\"support_evidence\":\"[{\\\"amendment_id\\\": \\\"C1\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0014]\\\", \\\"supporting_excerpt\\\": \\\"The sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"Paragraph [0014] directly discloses the burial position of the sensor probe and the depth range of 10 cm to 30 cm, fully supporting C1.\\\"}, {\\\"amendment_id\\\": \\\"C2\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0024]\\\", \\\"supporting_excerpt\\\": \\\"First record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.98, \\\"analysis\\\": \\\"Paragraph [0024] explicitly records the complete process of the dry reference point, the saturated reference point, and calibration according to the two reference points, directly supporting C2.\\\"}, {\\\"amendment_id\\\": \\\"C3\\\", \\\"source_document_type\\\": \\\"Original Specification\\\", \\\"source_paragraph_reference\\\": \\\"Paragraph [0029]\\\", \\\"supporting_excerpt\\\": \\\"The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\\\", \\\"support_relation\\\": \\\"Direct support\\\", \\\"evidence_strength\\\": 0.99, \\\"analysis\\\": \\\"Paragraph [0029] directly discloses the structural relationship between the plurality of planting zones and the corresponding irrigation branches, and original claim 3 also has the same limitation, fully supporting C3.\\\"}]\",\"support_judgment\":\"{\\\"overall_support\\\": true, \\\"supported_amendment_ids\\\": [\\\"C1\\\", \\\"C2\\\", \\\"C3\\\"], \\\"unsupported_amendment_ids\\\": [], \\\"judgment_summary\\\": \\\"C1 to C3 can all be supported by explicit technical content in the original specification, original claims, or drawing description. The amendments are further limitations on the original system structure, calibration process, and zoned pipeline, and no newly added content beyond the original disclosure scope is found.\\\", \\\"review_required\\\": false}\",\"amended_claims_text\":\"Claim 1: A moisture control system for greenhouse irrigation, comprising a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline, characterized in that the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface, and the controller controls opening and closing of the solenoid valve according to soil moisture content.\\nClaim 2: The moisture control system according to claim 1, characterized in that the controller performs two-point calibration on the soil moisture sensor using a dry reference point and a saturated reference point before irrigation.\\nClaim 3: The moisture control system according to claim 1, characterized in that the irrigation pipeline comprises branches corresponding to a plurality of planting zones.\",\"office_opinions_text\":\"The Office Action on page 3 points out that the control logic expression of original claim 1 is relatively general and suggests clarifying the burial depth of the sensor probe and the sensor calibration manner.\\nThe written opinion on page 4 states that the applicant incorporates the content of original claim 2 and paragraph [0024] of the specification into claim 1 and claim 2, and retains the multi-planting-zone branch structure of original claim 3 in claim 3. The examiner considers that the above amendments are further limitations on the original technical solution and do not introduce new technical content.\",\"original_claims_text\":\"Original Claim 1: A greenhouse irrigation moisture control system, comprising a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline, wherein the controller controls opening and closing of the solenoid valve according to soil moisture content.\\nOriginal Claim 2: The system according to original claim 1, characterized in that the probe of the soil moisture sensor is buried at a depth of 10 cm to 30 cm below the ground surface.\\nOriginal Claim 3: The system according to original claim 1, characterized in that the greenhouse is divided into a plurality of planting zones, and the irrigation pipeline comprises branches corresponding to each planting zone.\",\"drawing_description_text\":\"FIG. 1 is an overall structural diagram of the greenhouse irrigation moisture control system. FIG. 2 is a schematic diagram of the burial position of the soil moisture sensor probe in the soil of a planting zone, with the probe burial depth marked as 10 cm to 30 cm. FIG. 3 is a calibration flowchart for the dry reference point and the saturated reference point. FIG. 4 is a schematic diagram of the connection of a plurality of planting zones and their corresponding irrigation branches.\",\"original_specification_text\":\"[0001] The present invention relates to controlled environment agriculture irrigation control technology, and in particular to a greenhouse moisture control system that automatically controls irrigation based on soil moisture content.\\n[0007] The system comprises a soil moisture sensor, a controller, a solenoid valve, and an irrigation pipeline. The soil moisture sensor collects the volumetric moisture content of soil in a planting zone, and the controller sends opening and closing control signals to the solenoid valve according to the collection result.\\n[0014] In order to enable the sensor detection result to reflect the moisture state of the crop root zone, the sensor probe is preferably buried at a depth of 10 cm to 30 cm below the ground surface.\\n[0019] The controller may be provided with an irrigation lower limit and an irrigation stop upper limit. When the detected soil moisture content is lower than the irrigation lower limit, the controller opens the solenoid valve; when the soil moisture content reaches the irrigation stop upper limit, the controller closes the solenoid valve.\\n[0024] After the sensor is installed, first record a dry reference point under dry soil conditions, then record a saturated reference point when sufficient water is applied until the soil reaches a saturated state, and the controller performs linear calibration on the sensor output according to the two reference points.\\n[0029] The greenhouse can be divided into a plurality of planting zones, the irrigation pipeline is provided with branches corresponding to each planting zone, and irrigation of each branch is separately controlled by an independent solenoid valve.\"}","MOBIUSI INC","https:\u002F\u002Fstatic.mobiusi.com\u002Fmobiwusi\u002F20250829\u002F7bf4ac62b4533e2b809998a6f1c5491e.png?Expires=1792463130&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=v6Tr8jBrdm4s5wU1SnnyGsYg%2Bhw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_35%2Ch_35",[702,708],{"type":703,"title":704,"count_data":705},"bar","Length distribution",[706],{"name":707,"value":483},"1k lower",{"type":709,"title":710,"count_data":711},"pie","Language distribution",[712],{"name":713,"value":483},"English"]