[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$apiParty6fBuHLCPZ1LTYs42XHdVbjpSDOYYPYzyxeAGwSN5Tp8":3,"$apiPartyqTCTZxMr2Bam_eVrIAOk56wvN3kvWCou5mmjLjDCgK0":563,"$apiPartyqTCTZxMr2Bam_eVrIAOk56wvN3kvWCou5mmjLjDCgK0$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 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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":572,"download_count":573,"unit":573,"amount":574,"is_create_order":573,"enterprise_id":488,"seo_keywords":575,"seo_description":576,"data_format":577,"file_size":578,"apply_scene":579,"training_task":580,"version":581,"dataset_type_id":492,"dataset_scene_id":553,"sample_file":522,"banner":8,"unit_name":8,"cate_name":449,"icon_url":8,"banner_url":8,"sample_file_url":8,"data_dict":582,"qa_list":613,"sample_metadatas":630,"text_sample_content":660,"enterprise_name":661,"enterprise_logo":662,"data_distribution":663},1076,"4c1af81a0fa91eb48e4730bbe72048ca","FTTB Fault Constraint Diagnosis Question-Answer Dataset","Train models to diagnose FTTB faults more reliably by grounding conclusions in network dependencies and operational evidence.","\u003Cp>This dataset contains text-based FTTB fault scenarios with access topology, affected user scope, equipment status, alarms, and troubleshooting results, paired with diagnostic reasoning, excluded causes, supporting evidence, and constrained conclusions. Samples are organized around evidence consistency and network dependencies, making them suitable for training models to analyze faults and rule out unsupported causes when information is limited. Use cases include reasoning SFT, FTTB troubleshooting question answering, network operations support, and constraint-reasoning evaluation.\u003C\u002Fp>","2026-10-09 18:54:12","2026-10-19 17:19:58","0.00",31,0,5000,"FTTB fault diagnosis, fiber to the building, broadband troubleshooting, network operations dataset, constraint reasoning, fault QA data, reasoning SFT, telecom network diagnosis","Constraint-based FTTB troubleshooting data covering topology, affected users, equipment status, alarms, ruled-out causes, and diagnostic evidence for reasoning,","JSON","0.3GB","fiber optic network fault diagnosis, broadband network maintenance, telecom troubleshooting","fault diagnosis, constraint-based reasoning, evidence-based question answering","V1.0",[583,588,593,598,603,608],{"id":573,"name":584,"field":585,"intro":586,"type":587},"File Name","file_name","File name","string",{"id":589,"name":590,"field":591,"intro":592,"type":587},7831,"Constrained Diagnosis","diagnosis","Provides a fault diagnosis consistent with the available evidence and network dependency constraints.",{"id":594,"name":595,"field":596,"intro":597,"type":587},7832,"Diagnostic Reasoning","reasoning","Explains how to analyze the fault scenario using the available evidence and network dependencies.",{"id":599,"name":600,"field":601,"intro":602,"type":587},7833,"Fault Scenario Input","case_input","Raw scenario information, including FTTB access topology, affected user scope, equipment status, alarms, and troubleshooting results.",{"id":604,"name":605,"field":606,"intro":607,"type":587},7834,"Ruled-Out Fault Causes","excluded_causes","Lists fault causes that conflict with the available evidence or network dependencies and explains why they are excluded.",{"id":609,"name":610,"field":611,"intro":612,"type":587},7835,"Diagnostic Evidence","supporting_evidence","Summarizes the topology, impact scope, equipment status, alarms, or troubleshooting results that support the diagnosis.",[614,618,622,626],{"id":615,"question":616,"answer":617},5751,"What fault information does the dataset contain?","Samples include FTTB access topology, affected user scope, equipment status, alarms, and troubleshooting results. They also provide diagnostic reasoning, excluded causes, supporting evidence, and a final diagnosis.",{"id":619,"question":620,"answer":621},5752,"How does the dataset support constraint-reasoning training?","Each sample requires the diagnosis to agree with the available evidence and network dependencies, and explains which causes should be ruled out and why. This supports training in conditional analysis, evidence checking, and fault reasoning.",{"id":623,"question":624,"answer":625},5753,"What are the intended use cases?","The dataset can support reasoning SFT, FTTB broadband troubleshooting question answering, network operations assistance, and constraint-reasoning evaluation. Adapt it to the relevant network topology, equipment, and operational procedures before deployment.",{"id":627,"question":628,"answer":629},5754,"How can I obtain the data and confirm usage rights?","Refer to the dataset listing or provider documentation for available formats, delivery options, and licensing scope. Before commercial training, redistribution, or use involving sensitive operational information, verify the applicable permissions and data compliance requirements.",[631,642,651],{"id":632,"relate_table":633,"relate_id":634,"file_size":573,"file_name":8,"path":8,"duration":573,"cate":483,"file_format":8,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":635,"cate_name":636,"diagnosis":637,"reasoning":638,"case_input":639,"excluded_causes":640,"supporting_evidence":641},14630,"union_cubo",859339804,"{\"diagnosis\": \"A disruption in the shared optical access path for OLT PON port 0\u002F8\u002F1 is the supported diagnosis. The fault is localized to the common PON service path, but the available evidence does not determine whether the OLT interface, feeder, splitter, or common distribution segment is responsible.\", \"reasoning\": \"The 12 affected buildings share PON port 0\u002F8\u002F1 and splitter S-08, and all 12 ONUs went offline at the same time. The LOS\u002FLOF alarms on that shared PON path are consistent with a common optical-path disruption. The neighboring PON port and its buildings remain in service, which confines the observed impact to the 0\u002F8\u002F1 service path rather than showing a broader access outage. Because no component-level test or physical inspection result is provided, the evidence cannot locate the fault within that shared path.\", \"case_input\": \"Topology: OLT PON port 0\u002F8\u002F1 feeds splitter S-08, which serves 12 building ONUs. Each ONU provides FTTB service to subscribers in its building. At 14:06, all 12 ONUs on this PON port went offline and subscribers in all 12 buildings lost service. The OLT reports LOS and LOF on PON port 0\u002F8\u002F1. The neighboring PON port 0\u002F8\u002F2 remains online, and its served buildings report no service interruption. No individual ONU recovery or building-level restoration has been recorded. The available checks do not identify a physical break location or verify the condition of the OLT PON interface, feeder, splitter, or common distribution segment.\", \"excluded_causes\": \"A single subscriber drop or one building ONU fault cannot explain the simultaneous outage of all 12 ONUs on the same PON port. A broader outage affecting the neighboring PON port is inconsistent with that port and its served buildings remaining online. The evidence does not distinguish an OLT PON interface fault from a feeder, splitter, or common distribution-path fault, so none of those specific components can be ruled in or out.\", \"supporting_evidence\": \"All 12 buildings served by PON port 0\u002F8\u002F1 through splitter S-08 lost service at the same time, and all 12 ONUs went offline. The OLT reports LOS and LOF on 0\u002F8\u002F1. Neighboring PON port 0\u002F8\u002F2 and its served buildings remain online. No inspection or test result identifies the failed component or physical location.\"}","文本","A disruption in the shared optical access path for OLT PON port 0\u002F8\u002F1 is the supported diagnosis. The fault is localized to the common PON service path, but the available evidence does not determine whether the OLT interface, feeder, splitter, or common distribution segment is responsible.","The 12 affected buildings share PON port 0\u002F8\u002F1 and splitter S-08, and all 12 ONUs went offline at the same time. The LOS\u002FLOF alarms on that shared PON path are consistent with a common optical-path disruption. The neighboring PON port and its buildings remain in service, which confines the observed impact to the 0\u002F8\u002F1 service path rather than showing a broader access outage. Because no component-level test or physical inspection result is provided, the evidence cannot locate the fault within that shared path.","Topology: OLT PON port 0\u002F8\u002F1 feeds splitter S-08, which serves 12 building ONUs. Each ONU provides FTTB service to subscribers in its building. At 14:06, all 12 ONUs on this PON port went offline and subscribers in all 12 buildings lost service. The OLT reports LOS and LOF on PON port 0\u002F8\u002F1. The neighboring PON port 0\u002F8\u002F2 remains online, and its served buildings report no service interruption. No individual ONU recovery or building-level restoration has been recorded. The available checks do not identify a physical break location or verify the condition of the OLT PON interface, feeder, splitter, or common distribution segment.","A single subscriber drop or one building ONU fault cannot explain the simultaneous outage of all 12 ONUs on the same PON port. A broader outage affecting the neighboring PON port is inconsistent with that port and its served buildings remaining online. The evidence does not distinguish an OLT PON interface fault from a feeder, splitter, or common distribution-path fault, so none of those specific components can be ruled in or out.","All 12 buildings served by PON port 0\u002F8\u002F1 through splitter S-08 lost service at the same time, and all 12 ONUs went offline. The OLT reports LOS and LOF on 0\u002F8\u002F1. Neighboring PON port 0\u002F8\u002F2 and its served buildings remain online. No inspection or test result identifies the failed component or physical location.",{"id":643,"relate_table":633,"relate_id":644,"file_size":573,"file_name":8,"path":8,"duration":573,"cate":483,"file_format":8,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":645,"cate_name":636,"diagnosis":646,"reasoning":647,"case_input":648,"excluded_causes":649,"supporting_evidence":650},14629,1829494650,"{\"diagnosis\": \"An open conductor in the subscriber drop path between the patch-panel termination and the unit 6B outlet, or at one of its terminations, is the supported cause of the isolated service loss.\", \"reasoning\": \"The fault is isolated to one subscriber path while the other subscribers on the same switch remain in service. The ONU and PON are online without optical alarms. Testing at Gi1\u002F0\u002F11 with a known-good lead establishes a stable link, showing that the switch port can provide a link under the test conditions. The open conductor between the patch-panel termination and the unit outlet, together with the failed outlet-side link test, localizes the supported fault to the subscriber drop path or its termination beyond the patch panel.\", \"case_input\": \"Topology: OLT PON port 0\u002F5\u002F4 serves building ONU C-04, connected to access switch ASW-04. Subscriber drop pair DP-11 runs from ASW-04 through a building patch panel to unit 6B. Impact: only the subscriber at unit 6B is offline; the other 31 subscribers on ASW-04 remain in service. The ONU is online, the PON shows no LOS\u002FLOF alarm, and ASW-04 is reachable. Port Gi1\u002F0\u002F11, assigned to DP-11, establishes a stable link when a test laptop is connected directly at the switch using a known-good short lead. A continuity test from the patch-panel termination to the unit 6B outlet reports an open on conductor 2. A laptop connected at the unit outlet with a known-good short lead does not establish a link.\", \"excluded_causes\": \"A shared PON or ONU outage is inconsistent with the ONU remaining online and the other 31 subscribers remaining in service. A general ASW-04 failure is inconsistent with those subscribers retaining service and with the direct test at Gi1\u002F0\u002F11 establishing a stable link. The evidence does not support the switch port as the primary fault because it works with a known-good lead. A customer device fault alone does not explain the reported open conductor and failed outlet-side link test.\", \"supporting_evidence\": \"Only unit 6B is affected; 31 other subscribers on ASW-04 remain in service. The ONU is online and the PON has no LOS\u002FLOF alarm. Gi1\u002F0\u002F11 establishes a stable link with a known-good short lead at the switch. The path from the patch-panel termination to the unit outlet tests open on conductor 2, and a laptop at the outlet does not establish a link with a known-good lead.\"}","An open conductor in the subscriber drop path between the patch-panel termination and the unit 6B outlet, or at one of its terminations, is the supported cause of the isolated service loss.","The fault is isolated to one subscriber path while the other subscribers on the same switch remain in service. The ONU and PON are online without optical alarms. Testing at Gi1\u002F0\u002F11 with a known-good lead establishes a stable link, showing that the switch port can provide a link under the test conditions. The open conductor between the patch-panel termination and the unit outlet, together with the failed outlet-side link test, localizes the supported fault to the subscriber drop path or its termination beyond the patch panel.","Topology: OLT PON port 0\u002F5\u002F4 serves building ONU C-04, connected to access switch ASW-04. Subscriber drop pair DP-11 runs from ASW-04 through a building patch panel to unit 6B. Impact: only the subscriber at unit 6B is offline; the other 31 subscribers on ASW-04 remain in service. The ONU is online, the PON shows no LOS\u002FLOF alarm, and ASW-04 is reachable. Port Gi1\u002F0\u002F11, assigned to DP-11, establishes a stable link when a test laptop is connected directly at the switch using a known-good short lead. A continuity test from the patch-panel termination to the unit 6B outlet reports an open on conductor 2. A laptop connected at the unit outlet with a known-good short lead does not establish a link.","A shared PON or ONU outage is inconsistent with the ONU remaining online and the other 31 subscribers remaining in service. A general ASW-04 failure is inconsistent with those subscribers retaining service and with the direct test at Gi1\u002F0\u002F11 establishing a stable link. The evidence does not support the switch port as the primary fault because it works with a known-good lead. A customer device fault alone does not explain the reported open conductor and failed outlet-side link test.","Only unit 6B is affected; 31 other subscribers on ASW-04 remain in service. The ONU is online and the PON has no LOS\u002FLOF alarm. Gi1\u002F0\u002F11 establishes a stable link with a known-good short lead at the switch. The path from the patch-panel termination to the unit outlet tests open on conductor 2, and a laptop at the outlet does not establish a link with a known-good lead.",{"id":652,"relate_table":633,"relate_id":653,"file_size":573,"file_name":8,"path":8,"duration":573,"cate":483,"file_format":8,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":654,"cate_name":636,"diagnosis":655,"reasoning":656,"case_input":657,"excluded_causes":658,"supporting_evidence":659},14628,127269079,"{\"diagnosis\": \"Loss of the Ethernet uplink path between ASW-17 Gi1\u002F0\u002F24 and AGG-2 is the supported fault domain. The evidence does not yet distinguish a patch lead, local port, or remote port fault.\", \"reasoning\": \"The affected subscribers share ASW-17 and its sole uplink to AGG-2. The switch remains powered and reachable, and its subscriber-facing ports are up, so the outage is downstream of the ONU but not explained by loss of switch power. The ONU remains online and the PON has no LOS or LOF alarm, which weighs against an optical access failure. The down state on the only uplink matches the shared scope of the service loss; the evidence identifies the uplink path but does not isolate which end or component has failed.\", \"case_input\": \"Topology: OLT PON port 0\u002F3\u002F2 serves building ONU B-17, which connects to managed access switch ASW-17. Eighteen subscriber drop lines terminate on ASW-17; the switch has a single Ethernet uplink to aggregation switch AGG-2. Impact: all 18 subscribers behind ASW-17 lost service at 09:12. The ONU remains online, its optical level is stable, and the OLT reports no LOS or LOF alarm on the PON port. ASW-17 is powered and reachable through its management interface; all 18 subscriber-facing ports show link up. Its uplink port Gi1\u002F0\u002F24 shows link down, with a corresponding linkDown alarm. No alternate uplink is configured.\", \"excluded_causes\": \"An OLT-to-ONU optical outage is inconsistent with the ONU remaining online and the absence of PON LOS\u002FLOF alarms. A complete ASW-17 power failure is inconsistent with its powered, reachable state. A fault on one subscriber drop cannot account for the simultaneous loss of all 18 subscribers. The available evidence does not identify a specific failed cable, switch port, or AGG-2 port, so none can be named as the confirmed component.\", \"supporting_evidence\": \"All 18 affected subscribers are served through ASW-17 and its single uplink. The ONU is online with stable optical level; the PON has no LOS\u002FLOF alarm. ASW-17 is powered and reachable, and all subscriber-facing ports show link up. The sole uplink, Gi1\u002F0\u002F24, shows link down and has a linkDown alarm.\"}","Loss of the Ethernet uplink path between ASW-17 Gi1\u002F0\u002F24 and AGG-2 is the supported fault domain. The evidence does not yet distinguish a patch lead, local port, or remote port fault.","The affected subscribers share ASW-17 and its sole uplink to AGG-2. The switch remains powered and reachable, and its subscriber-facing ports are up, so the outage is downstream of the ONU but not explained by loss of switch power. The ONU remains online and the PON has no LOS or LOF alarm, which weighs against an optical access failure. The down state on the only uplink matches the shared scope of the service loss; the evidence identifies the uplink path but does not isolate which end or component has failed.","Topology: OLT PON port 0\u002F3\u002F2 serves building ONU B-17, which connects to managed access switch ASW-17. Eighteen subscriber drop lines terminate on ASW-17; the switch has a single Ethernet uplink to aggregation switch AGG-2. Impact: all 18 subscribers behind ASW-17 lost service at 09:12. The ONU remains online, its optical level is stable, and the OLT reports no LOS or LOF alarm on the PON port. ASW-17 is powered and reachable through its management interface; all 18 subscriber-facing ports show link up. Its uplink port Gi1\u002F0\u002F24 shows link down, with a corresponding linkDown alarm. No alternate uplink is configured.","An OLT-to-ONU optical outage is inconsistent with the ONU remaining online and the absence of PON LOS\u002FLOF alarms. A complete ASW-17 power failure is inconsistent with its powered, reachable state. A fault on one subscriber drop cannot account for the simultaneous loss of all 18 subscribers. The available evidence does not identify a specific failed cable, switch port, or AGG-2 port, so none can be named as the confirmed component.","All 18 affected subscribers are served through ASW-17 and its single uplink. The ONU is online with stable optical level; the PON has no LOS\u002FLOF alarm. ASW-17 is powered and reachable, and all subscriber-facing ports show link up. The sole uplink, Gi1\u002F0\u002F24, shows link down and has a linkDown alarm.","{\"diagnosis\":\"A disruption in the shared optical access path for OLT PON port 0\\\u002F8\\\u002F1 is the supported diagnosis. The fault is localized to the common PON service path, but the available evidence does not determine whether the OLT interface, feeder, splitter, or common distribution segment is responsible.\",\"reasoning\":\"The 12 affected buildings share PON port 0\\\u002F8\\\u002F1 and splitter S-08, and all 12 ONUs went offline at the same time. The LOS\\\u002FLOF alarms on that shared PON path are consistent with a common optical-path disruption. The neighboring PON port and its buildings remain in service, which confines the observed impact to the 0\\\u002F8\\\u002F1 service path rather than showing a broader access outage. Because no component-level test or physical inspection result is provided, the evidence cannot locate the fault within that shared path.\",\"case_input\":\"Topology: OLT PON port 0\\\u002F8\\\u002F1 feeds splitter S-08, which serves 12 building ONUs. Each ONU provides FTTB service to subscribers in its building. At 14:06, all 12 ONUs on this PON port went offline and subscribers in all 12 buildings lost service. The OLT reports LOS and LOF on PON port 0\\\u002F8\\\u002F1. The neighboring PON port 0\\\u002F8\\\u002F2 remains online, and its served buildings report no service interruption. No individual ONU recovery or building-level restoration has been recorded. The available checks do not identify a physical break location or verify the condition of the OLT PON interface, feeder, splitter, or common distribution segment.\",\"excluded_causes\":\"A single subscriber drop or one building ONU fault cannot explain the simultaneous outage of all 12 ONUs on the same PON port. A broader outage affecting the neighboring PON port is inconsistent with that port and its served buildings remaining online. The evidence does not distinguish an OLT PON interface fault from a feeder, splitter, or common distribution-path fault, so none of those specific components can be ruled in or out.\",\"supporting_evidence\":\"All 12 buildings served by PON port 0\\\u002F8\\\u002F1 through splitter S-08 lost service at the same time, and all 12 ONUs went offline. The OLT reports LOS and LOF on 0\\\u002F8\\\u002F1. Neighboring PON port 0\\\u002F8\\\u002F2 and its served buildings remain online. No inspection or test result identifies the failed component or physical location.\"}","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",[664,670],{"type":665,"title":666,"count_data":667},"bar","Length distribution",[668],{"name":669,"value":483},"1k lower",{"type":671,"title":672,"count_data":673},"pie","Language distribution",[674],{"name":675,"value":483},"English"]