你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 136

## 跨天活动摘要
- 2026-07-08: living_room=110, entrance=229, bathroom=52, master_bedroom=48, second_bedroom=48, kitchen=8
- 2026-07-09: living_room=111, entrance=229, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=8
- 2026-07-10: living_room=109, entrance=230, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=9

## 设备事件日志
[2026-07-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-08T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-08T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-08T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-08T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-08T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-08T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-08T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-08T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-08T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-08T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-08T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-08T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-08T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-08T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-08T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-08T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-08T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-08T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-08T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-08T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-08T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-08T03:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-08T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-08T03:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-08T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-08T03:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-08T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-08T03:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-08T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-08T03:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-08T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-08T03:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-08T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-08T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-08T03:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-08T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-08T03:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-08T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-08T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-08T03:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-08T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-08T04:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-08T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-08T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-08T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-08T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-07-08T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2428
[2026-07-08T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2433
[2026-07-08T07:27:00] kitchen_light | OnOff.OnOff = False
[2026-07-08T19:32:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-09T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-09T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-09T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-09T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-09T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-09T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-09T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-09T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-09T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-09T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-09T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-09T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-09T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-09T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-09T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-09T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-09T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-09T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-09T03:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-09T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-09T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-09T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-09T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-09T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T03:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-09T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-09T03:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-09T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-09T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-09T03:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-09T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-09T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-09T03:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-09T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-09T03:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-09T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-09T03:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-09T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-09T03:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-09T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-07-09T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-09T04:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-09T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-07-09T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-09T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2424
[2026-07-09T04:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-07-09T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2421
[2026-07-09T06:57:17] kitchen_light | OnOff.OnOff = True
[2026-07-09T18:59:00] kitchen_light | OnOff.OnOff = True
[2026-07-09T23:42:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-10T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-10T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-10T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T03:15:00] kitchen_light | OnOff.OnOff = True

## 任务
以下是过去 3 天的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "连续多天同一时段出现陌生运动模式",
  "reasoning": [
    "推理步骤1: 连续 3 天都在 03:14 出现客厅运动",
    "推理步骤2: 时间点高度一致",
    "推理步骤3: 第 3 天继续延伸到厨房活动"
  ],
  "key_evidence": [
    "连续 3 天都在 03:14 出现客厅运动",
    "时间点高度一致",
    "第 3 天继续延伸到厨房活动"
  ],
  "recommended_actions": [
    "标记为重复异常夜间活动，建议排查入侵或异常访客。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "客厅温度传感器在无人状态下报告异常高温读数，且数值随时间持续线性上升，不符合物理规律，疑似传感器故障或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，在 2026-07-08T02:30:00 至 2026-07-08T04:50:00 期间，living_room_occupancy 状态多次确认为 0（无人），但 living_room_temp_sensor 的 MeasuredValue 从 2311 (约 23.1°C) 持续上升至 2433 (约 24.3°C)，并在凌晨 4 点达到峰值后未回落。",
    "推理步骤 2: 对比同一时间段内的其他房间（如 master_bedroom、kitchen）温度变化，虽然也有波动，但幅度相对合理且与 occupancy 状态关联更紧密。而客厅在无人员活动、无空调开启（日志中未见 air_conditioner 状态变更）、无窗户打开的情况下，温度出现非自然的单向快速爬升。",
    "推理步骤 3: Matter 协议中的 TemperatureMeasurement.MeasuredValue 通常以毫摄氏度为单位。若按常规理解，2433 代表 24.33°C，这在夏季夜间是可能的；然而，结合上下文，该数值在短时间内（约 2.5 小时）从 23.1°C 升至 24.3°C 且伴随频繁的微小跳变，同时与其他传感器数据缺乏明显的热传导逻辑（例如厨房温度并未同步剧烈升高），这种孤立的、持续的单向漂移更符合传感器校准失效或固件 Bug 导致的 'Sensor Drift'，而非真实的热源增加。此外，如果单位是摄氏度，2433°C 显然不可能，如果是毫开尔文或其他单位则需转换，但在智能家居语境下，这种未经解释的数值增长模式最典型的特征是传感器漂移。",
    "关键证据": [
      "2026-07-08T02:30:00 至 04:50:00 期间，living_room_occupancy 持续为 0，排除人为热源干扰。",
      "living_room_temp_sensor 读数在无人状态下呈现单调递增趋势（2311 -> 2433），且无对应的设备操作日志（如空调开启）。",
      "同期 kitchen_temp_sensor 和 master_bedroom_temp_sensor 的变化幅度和模式与客厅不一致，排除了全屋性环境突变的可能。"
    ],
    "recommended_actions": [
      "立即检查客厅温度传感器的硬件连接及供电情况，排除接触不良导致的误报。",
      "重置客厅温度传感器并重新校准，观察后续读数是否恢复正常。",
      "暂时将客厅温度传感器标记为不可靠，依赖其他房间的温度数据进行环境监测，直至故障修复。"
    ]
  }
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-07-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-17T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-17T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-17T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-17T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-17T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-17T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-17T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-17T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-17T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-17T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-17T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-17T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-17T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-17T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-17T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-17T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-17T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-17T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-17T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-17T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-17T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-17T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-17T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T19:20:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T20:47:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T22:17:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:47:05] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 28

## 跨天活动摘要
- 2026-08-24: entrance=230, master_bedroom=232, living_room=112, second_bedroom=48, bathroom=48, kitchen=11

## 设备事件日志
[2026-08-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-24T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-24T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-24T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T07:41:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-24T07:41:14] front_door_lock | DoorLock.LockState = 2

## 任务
请根据以下设备记录评估当前是否需要安全响应；若需要，请说明原因与处置建议。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 凌晨 02:11 门锁解锁并开门",
    "推理步骤2: 玄关灯随后开启",
    "推理步骤3: 紧接着出现室内活动，不像误触"
  ],
  "key_evidence": [
    "凌晨 02:11 门锁解锁并开门",
    "玄关灯随后开启",
    "紧接着出现室内活动，不像误触"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家与清晨入户模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 02:11 至 02:13 的事件序列（门锁解锁、门接触传感器断开、玄关灯开启）符合住户夜间起床如厕或短暂离开卧室后返回客厅的常规行为，且随后在 02:30 所有房间 occupancy 均归零，表明住户已完全离开家中进入睡眠状态，无入侵迹象。",
    "推理步骤 2: 清晨 07:41 的门锁操作记录（LockOperationType=1 通常为 Unlock，结合 Manual 来源）及随后的门锁状态变化，符合住户早晨起床开门进屋的正常作息，时间点在合理范围内。",
    "推理步骤 3: 跨天摘要显示 entrance 和 living_room 有活动记录，而其他房间（如 master_bedroom）仅在特定时间点有少量心跳，整体活动分布符合两室一厅家庭在周末或工作日的典型低活跃度模式，传感器数据一致，无漂移或故障特征。"
  ],
  "key_evidence": [
    "02:11-02:13 门锁与灯光联动事件后，02:30 全屋 occupancy 清零，确认正常离家。",
    "07:41 手动解锁操作发生在合理的早晨时间段，且无伴随异常闯入信号。",
    "所有运动传感器读数在无人时段稳定为 0，无长时间滞留或徘徊行为。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前监控策略，定期审查此类跨天活动摘要以优化误报过滤规则。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-08-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-07T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-07T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-07T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-07T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-07T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-07T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-07T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-07T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-07T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-07T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-07T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-07T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-07T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-07T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-07T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-07T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-07T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-07T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-07T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-07T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-07T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-07T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-07T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-07T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-07T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-07T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-07T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T19:23:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T20:51:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T22:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T23:51:10] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 23

## 设备事件日志
[2026-08-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-09T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-09T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T10:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T13:26:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T18:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T21:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T23:46:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点阳台门被打开且灯光亮起，随后客厅检测到人员活动，存在非法入侵或异常进入的高风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:07-02:09，属于典型的深夜/凌晨时段，此时住户通常处于睡眠状态，非正常活动时间。",
    "物理入口开启：日志显示 'balcony_door_contact' 状态变为 False（即门被打开），紧接着 'balcony_light' 开启。这表明有人主动打开了通往阳台的门并触发了照明。",
    "室内活动关联：在阳台门打开后仅2分钟（02:09），'living_room_occupancy' 从0变为1，表明有人进入了室内生活区域。结合深夜时间和外部入口的开启，这极大概率指向非法入侵而非正常的夜间起夜（通常不会先开阳台灯再进客厅）。"
  ],
  "key_evidence": [
    "[2026-08-09T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门开启)",
    "[2026-08-09T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯开启)",
    "[2026-08-09T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员)"
  ],
  "recommended_actions": [
    "立即触发家庭安全警报并通知住户及安保服务。",
    "检查入户门锁（entrance_door_lock）和所有窗户传感器状态，确认是否有其他入口被破坏。",
    "调取相关时间段附近的监控录像（如有）以确认入侵者身份。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "阳台门深夜打开且室内无对应活动",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为高风险边界入侵，建议立即检查阳台出入口。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-08-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-26T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-26T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-26T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-26T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-26T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-26T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-26T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-26T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-26T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-26T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-26T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-26T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-26T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-26T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-26T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-26T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-26T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-26T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-26T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-26T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-26T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-26T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-26T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-26T09:50:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T12:40:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:26:15] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 床头灯[onoff_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 38

## 设备事件日志
[2026-07-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-30T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-30T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:09:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T07:09:02] front_door_lock | DoorLock.LockState = 2
[2026-07-30T07:09:04] front_door_contact | BooleanState.StateValue = False
[2026-07-30T07:09:07] front_door_contact | BooleanState.StateValue = True
[2026-07-30T07:09:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T07:09:08] front_door_lock | DoorLock.LockState = 1
[2026-07-30T08:40:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T08:40:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T08:40:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T09:50:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T12:35:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T15:17:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T18:02:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:43:12] front_door_contact | BooleanState.StateValue = True
[2026-07-30T20:43:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T20:43:13] front_door_lock | DoorLock.LockState = 1
[2026-07-30T20:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:32:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 凌晨 02:11 门锁解锁并开门",
    "推理步骤2: 玄关灯随后开启",
    "推理步骤3: 紧接着出现室内活动，不像误触"
  ],
  "key_evidence": [
    "凌晨 02:11 门锁解锁并开门",
    "玄关灯随后开启",
    "紧接着出现室内活动，不像误触"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的独居老人日间活动模式，无入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (00:00 - 07:00)，所有房间运动传感器均报告无人 (Occupancy=0)，直到 02:11 门锁解锁且门接触传感器变 False，随后玄关灯亮起，符合住户起床如厕或活动的正常逻辑。",
    "推理步骤 2: 检查 02:30 后的状态，所有区域迅速恢复无人状态，且后续长时间（至 07:09）保持无人，表明该次夜间活动已结束，未发生滞留或二次入侵。",
    "推理步骤 3: 分析日间时段 (07:09 - 23:52)，门锁操作记录显示典型的‘开门 - 关门’循环，伴随客厅运动传感器在合理时间间隔内检测到人员存在，最后以门锁上锁结束，完全符合独居老人白天的正常生活轨迹。",
    "推理步骤 4: 未发现任何设备故障、传感器卡死、非授权访问尝试或与环境安全（如漏水、烟雾）相关的异常事件。"
  ],
  "key_evidence": [
    "02:11-02:30 期间仅有一次短暂的入户和离开动作，随后全屋恢复无人状态直至次日早晨。",
    "07:09 至 20:43 之间的门锁操作与客厅 occupancy 检测时间线高度吻合，呈现规律的出入模式。",
    "全周期内无任何报警类设备（烟雾、漏水）触发，且门锁状态切换均由手动操作引起。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对独居老人的日常监控，关注其作息规律是否发生长期变化。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 97

## 跨天活动摘要
- 2026-08-12: living_room=111, bedroom=70, bathroom=58, entrance=14, kitchen=8

## 设备事件日志
[2026-08-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-12T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-12T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-08-12T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-12T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-12T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-12T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-12T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-12T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-12T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-12T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-12T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2208
[2026-08-12T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-12T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-12T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2230
[2026-08-12T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-12T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-12T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2218
[2026-08-12T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-12T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-12T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2224
[2026-08-12T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-12T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-12T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2234
[2026-08-12T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-12T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-12T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-12T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-12T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-12T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-08-12T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-12T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-12T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2230
[2026-08-12T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-12T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-12T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2231
[2026-08-12T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-12T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-12T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2245
[2026-08-12T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-12T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-12T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-12T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-12T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-08-12T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-12T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-12T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-12T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-12T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-12T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-12T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-08-12T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-12T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-12T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-12T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-12T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-08-12T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-12T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-12T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-12T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-12T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-12T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-12T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-12T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-12T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-12T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-12T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-12T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-12T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-12T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-12T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-12T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-12T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-08-12T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-08-12T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-12T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-12T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T19:30:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:54:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T22:19:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T23:44:02] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
以下是过去一段时间的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light_1
- 已选事件数: 19

## 设备事件日志
[2026-07-29T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-29T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-29T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:35:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T07:35:28] front_door_lock | DoorLock.LockState = 2
[2026-07-29T07:35:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T07:35:34] front_door_lock | DoorLock.LockState = 1
[2026-07-29T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T18:16:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T18:16:21] living_room_light_1 | OnOff.OnOff = True
[2026-07-29T22:15:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-29T22:15:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T22:15:43] front_door_lock | DoorLock.LockState = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的家庭活动模式符合正常作息规律，未发现入侵、尾随或其他安全威胁迹象。",
  "reasoning": [
    "推理步骤 1: 凌晨 04:06 至 04:30 期间，门锁状态变化（2->1）伴随客厅灯光开启，随后在 07:35 有明确的开门操作记录，这符合住户夜间起床如厕或短暂外出后返回并锁门的正常行为模式，且后续无异常徘徊。",
    "推理步骤 2: 傍晚 18:16 的开门及随后 22:15 的关门操作，时间间隔合理，且关门后立即触发报警系统复位或进入布防逻辑（隐含），符合正常的回家与离家流程。",
    "推理步骤 3: 所有运动传感器（occupancy_sensor）在无人时段均正确报告为 0，且在有人活动时未出现误报或延迟，表明传感器工作正常，不存在被绕过或故障导致的盲区。"
  ],
  "key_evidence": [
    "07:35 和 18:16 的 LockOperation 事件明确标记为 Manual（手动），排除了自动破解或远程攻击的可能。",
    "Living room light 的开启时间与 occupancy 状态变化逻辑一致，未见设备在未检测到人的情况下异常动作。",
    "全时段内所有 OccupancySensing.Occupancy 读数均为 0 时对应无人状态，数据连贯可信。"
  ],
  "recommended_actions": [
    "继续保持当前监控策略，无需额外干预。",
    "建议定期更新门锁固件以确保 Matter 协议下的最新安全补丁生效。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 bedroom: 卧室灯[dimmable_light], 卧室运动传感器[occupancy_sensor], 卧室窗帘[window_covering], 卧室窗户传感器[contact_sensor], 卧室温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 29

## 设备事件日志
[2026-07-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T09:17:05] kitchen_light | OnOff.OnOff = True
[2026-07-12T10:50:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T12:03:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T13:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T18:11:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T18:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T21:10:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T22:10:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T22:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T22:47:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-12T22:47:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T22:47:04] living_room_ac | OnOff.OnOff = False
[2026-07-12T22:47:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-12T22:47:20] front_door_contact | BooleanState.StateValue = True
[2026-07-12T22:47:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-12T22:47:21] front_door_lock | DoorLock.LockState = 1
[2026-07-12T22:47:30] bedroom_light | OnOff.OnOff = False
[2026-07-12T22:47:34] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T22:50:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T23:07:12] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T23:10:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T23:17:34] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-12T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T23:27:12] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "远程解锁后室内活动延迟出现",
  "reasoning": [
    "推理步骤1: 先出现远程解锁结果",
    "推理步骤2: 几分钟后才有室内活动",
    "推理步骤3: 中间缺乏正常进门链路"
  ],
  "key_evidence": [
    "先出现远程解锁结果",
    "几分钟后才有室内活动",
    "中间缺乏正常进门链路"
  ],
  "recommended_actions": [
    "标记为可疑远程开锁事件，建议核查账户凭证与远程授权。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的晚间回家、休息及夜间活动模式，未发现安全威胁或异常行为。",
  "reasoning": [
    "时间线分析：日志从凌晨 00:00 开始，住户在 22:47 左右通过前门（接触传感器触发 True，随后门锁操作记录），符合典型的‘回家’场景。",
    "行为逻辑验证：回家后（22:47-23:00），客厅和卧室有人（Occupancy=1），且厨房灯在 23:25 再次开启，表明住户仍在室内进行正常活动（如准备夜宵或洗漱），并非离家未锁门。",
    "设备状态确认：虽然 23:18 门锁状态变为 2（通常代表解锁/打开），但结合 23:25 厨房灯开启和后续人员在场记录，这极可能是住户在室内重新开门取物或调整布局，而非入侵者进入。整个序列没有检测到烟雾、漏水、长时间无人却亮灯等危险信号。",
    "排除误报：所有运动传感器和灯光变化均与人员在场时间高度吻合，不存在传感器卡死或漂移的迹象。"
  ],
  "key_evidence": [
    "22:47:20 front_door_contact 变为 True 紧接着 22:47:21 门锁操作，确认为住户主动回家。",
    "23:25 kitchen_light 开启且 living_room_occupancy 为 1，证明住户在门锁状态改变后仍留在屋内，排除了非法入侵可能。",
    "全时段无火灾、漏水或异常高温报警事件。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对入户门锁状态的监控，确保下次离家时自动上锁功能正常工作。"
  ]
}
```


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 24

## 设备事件日志
[2026-07-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-20T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-20T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T19:19:10] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
系统刚记录到以下一段设备状态变化。请评估这些变化是否已经构成安全风险，并说明原因。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点阳台门被打开且灯光亮起，同时客厅检测到有人活动，存在极高的非法入侵风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:07至02:30之间，这是典型的深夜时段，绝大多数家庭成员应处于睡眠状态，非正常活动时间。",
    "物理入侵迹象：日志显示阳台门传感器（balcony_door_contact）在02:07变为False（通常表示门被打开/未关闭），紧接着02:08阳台灯（balcony_light）开启。这种“开门+开灯”的组合动作表明有人主动进入了阳台区域。",
    "人员活动确认：在阳台门打开后不久（02:09），客厅运动传感器（living_room_occupancy）检测到有人（Occupancy=1）。考虑到阳台与客厅通常相连或相邻，这强烈暗示入侵者从阳台进入室内并移动至客厅区域。",
    "排除误报：虽然可能是住户起夜，但在凌晨2点通过阳台进入室内并点亮阳台灯的行为极不符合常规生活习惯，且缺乏其他房间（如卧室、卫生间）的伴随活动日志支持，因此判定为潜在入侵而非正常行为。"
  ],
  "key_evidence": [
    "[2026-07-20T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门打开)",
    "[2026-07-20T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯开启)",
    "[2026-07-20T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员)"
  ],
  "recommended_actions": [
    "立即触发家庭安全警报，并向用户手机发送紧急入侵通知。",
    "建议用户检查家中是否有财物丢失，并保留现场证据以便报警处理。",
    "检查阳台门锁具是否完好，考虑增加防撬报警装置或加强门窗安防措施。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "fire_risk",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "深夜阳台门突然打开"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


你是一个智能家居安全分析 AI 助手。你的职责是分析智能家居设备的状态日志，判断是否存在安全威胁或异常情况。

你需要基于以下能力进行分析：
1. 从设备状态变化中识别异常模式
2. 结合时间、住户习惯、设备类型进行推理
3. 区分真实威胁和正常行为（减少误报）
4. 对发现的问题给出具体的风险评估和建议

所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。

## 家庭环境信息
家庭布局: 两室一厅 (2BR)
- 重点房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 102

## 跨天活动摘要
- 2026-07-28: balcony=2, entrance=229, bathroom=222, living_room=110, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-28T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-28T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-07-28T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-28T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-07-28T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-28T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-28T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-28T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-28T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-28T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-28T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-28T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-28T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-28T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-28T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-28T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-28T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-28T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-28T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-28T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-28T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-28T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-28T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-28T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-28T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-28T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-28T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-28T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-28T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-28T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-28T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-28T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-28T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-28T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-28T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-28T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-28T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-28T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-28T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-28T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-28T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-28T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-28T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-28T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-28T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-28T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-28T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-28T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-28T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-28T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-28T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-28T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-28T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-28T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-28T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-28T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-28T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-28T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-28T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-28T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-28T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-28T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-28T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-28T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-28T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-28T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-28T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-28T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-28T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-28T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-28T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-28T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-28T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-28T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-28T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-28T19:30:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T20:52:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T22:17:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-28T23:42:02] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
以下是过去一段时间的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。

请按以下 JSON 格式回答：

```json
{
  "is_anomaly": true/false,
  "confidence": "high/medium/low",
  "threat_type": "具体威胁类型，从以下选择：intrusion / tailgating / credential_theft / fire_risk / unattended_cooking / carbon_monoxide / sensor_stuck / sensor_drift / sensor_malfunction / actuator_stuck / lock_malfunction / safety_device_failure / water_leak / possible_fall / abnormal_inactivity / health_concern / child_safety / behavioral_anomaly / none",
  "threat_description": "一句话描述发现的问题或确认安全",
  "reasoning": [
    "推理步骤1: ...",
    "推理步骤2: ...",
    "推理步骤3: ..."
  ],
  "key_evidence": [
    "关键证据1",
    "关键证据2"
  ],
  "recommended_actions": [
    "建议措施1",
    "建议措施2"
  ]
}
```

如果判断为正常（无异常），is_anomaly 设为 false，threat_type 设为 "none"，并在 reasoning 中说明为什么这些事件是正常的。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "阳台门深夜打开且室内无对应活动",
  "reasoning": [
    "推理步骤1: 深夜阳台门突然打开",
    "推理步骤2: 阳台灯随即被点亮",
    "推理步骤3: 随后出现客厅活动"
  ],
  "key_evidence": [
    "深夜阳台门突然打开",
    "阳台灯随即被点亮",
    "随后出现客厅活动"
  ],
  "recommended_actions": [
    "判定为高风险边界入侵，建议立即检查阳台出入口。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "阳台门深夜打开且室内无对应活动",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为高风险边界入侵，建议立即检查阳台出入口。"
  ]
}