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: 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: 37

## 跨天活动摘要
- 2026-07-24: entrance=17, living_room=109, bedroom=65, bathroom=55, kitchen=8

## 设备事件日志
[2026-07-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-24T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-24T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T07:28:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T07:28:26] front_door_lock | DoorLock.LockState = 2
[2026-07-24T07:28:28] front_door_contact | BooleanState.StateValue = False
[2026-07-24T07:28:28] front_door_contact | BooleanState.StateValue = True
[2026-07-24T07:28:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-24T07:28:29] front_door_lock | DoorLock.LockState = 1
[2026-07-24T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T18:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T18:27:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T18:27:02] front_door_contact | BooleanState.StateValue = False
[2026-07-24T18:27:18] entrance_light | OnOff.OnOff = True
[2026-07-24T19:32:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T20:55:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:09:02] entrance_light | OnOff.OnOff = False
[2026-07-24T22:09:41] front_door_contact | BooleanState.StateValue = True
[2026-07-24T22:09:42] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-24T22:09:42] front_door_lock | DoorLock.LockState = 1
[2026-07-24T22:20:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T23:45:06] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
监控系统标记了潜在异常。请分析下面的日志，判断是否需要采取响应措施，并给出建议。

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": "系统日志显示正常的家庭出入活动模式，未发现入侵、尾随或其他安全威胁迹象。",
  "reasoning": [
    "推理步骤 1: 分析门锁事件序列。在 02:11、07:28、18:27 和 22:09 等时间点，门锁状态变化（LockState=2 解锁/开门）均紧随或伴随门接触传感器（contact_sensor）变为 False（门打开），且随后有明确的重新上锁操作（LockOperationType=0, LockState=1）。这表明所有开门行为都是受控的主动操作，而非非法闯入。",
    "推理步骤 2: 检查 occupancy（占用）传感器数据。当门被打开时（如 02:13, 07:28, 18:27, 19:32），客厅占用传感器随即检测到有人（Occupancy=1），这与住户回家或出门的行为逻辑一致。离开时（如 22:09），先关灯再关门并上锁，符合正常作息习惯。",
    "推理步骤 3: 验证时间线合理性。凌晨 02:11 的开门事件虽然发生在深夜，但紧接着在 02:13 检测到客厅有人，且之后不久（02:30）即恢复无人状态，这更符合住户夜间起夜或短暂外出取物的场景，而非持续性的非法入侵。整个日志流中未出现‘门开但未检测到人员’或‘门开后长时间未上锁’等异常模式。"
  ],
  "key_evidence": [
    "所有 DoorLock.LockState 变为 2 (Unlock/Open) 的事件都伴随着 front_door_contact 变为 False，且后续都有 LockState 变回 1 (Locked) 的操作记录。",
    "living_room_occupancy 传感器的状态变化与门开启/关闭的时间点高度吻合，没有出现门开后长期无人的情况。",
    "entrance_light 仅在门开启后短暂亮起（如 02:12, 18:27），并在门关闭后熄灭，符合自动感应逻辑。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持对门锁和运动传感器的实时监控，以应对未来可能的变化。"
  ]
}
```


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: 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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 108

## 跨天活动摘要
- 2026-07-24: balcony=2, kids_room=229, entrance=228, master_bedroom=227, dining_room=217, living_room=111

## 设备事件日志
[2026-07-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-07-24T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-24T01:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-24T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-07-24T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-07-24T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-24T01:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-24T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-24T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-24T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-24T01:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-24T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-07-24T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-24T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-24T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-24T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-24T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-24T01:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-24T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-24T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-24T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-24T01:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-24T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-24T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-24T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-24T01:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-24T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-24T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-24T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-24T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-24T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-24T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-24T02:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-24T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-24T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-24T02:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-24T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-24T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-24T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-24T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-24T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-24T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-24T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-24T02:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-24T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-24T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-24T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-24T02:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-24T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-24T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-24T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-24T02:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-24T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-24T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-24T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-24T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-24T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-24T02:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-24T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-24T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-24T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-24T02:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-24T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-24T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-24T02:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-24T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-24T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-24T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-24T02:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-24T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-24T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-24T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-24T02:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-24T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-24T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:21:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T20:46:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:11:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T23:36:06] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请从下面的时序日志中分析住户或环境是否出现异常模式，不要只看单个事件。

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": "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": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


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
[2026-07-31T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-31T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-31T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T19:30:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T20:52:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T22:17:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T23:42:05] 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": "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": "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: 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: SQ5
- 重点房间: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 38

## 跨天活动摘要
- 2026-08-29: entrance=230, bedroom=242, kitchen=242, living_room=211, bathroom=56

## 设备事件日志
[2026-08-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T05:50:04] kitchen_light | OnOff.OnOff = True
[2026-08-29T07:10:00] kitchen_light | OnOff.OnOff = False
[2026-08-29T07:10:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-29T07:10:08] front_door_lock | DoorLock.LockState = 2
[2026-08-29T07:10:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-29T07:10:12] front_door_lock | DoorLock.LockState = 1
[2026-08-29T08:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-29T08:21:00] front_door_lock | DoorLock.LockState = 2
[2026-08-29T09:46:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T11:07:00] kitchen_light | OnOff.OnOff = True
[2026-08-29T12:36:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T15:21:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T17:08:00] kitchen_light | OnOff.OnOff = True
[2026-08-29T18:11:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T20:40:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-29T20:40:08] front_door_lock | DoorLock.LockState = 1
[2026-08-29T21:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T21:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T21:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:31:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:33:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:35:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:41:56] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T22:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:53:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T22:55:02] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T23:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T23:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T23:11:56] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T23:13:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-08-29T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T23:25:00] kitchen_light | OnOff.OnOff = True

## 任务
监控系统标记了潜在异常。请分析下面的日志，判断是否需要采取响应措施，并给出建议。

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": "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": "日志显示独居老人正常的夜间活动模式及门锁操作，未发现入侵、异常停留或设备故障迹象。",
  "reasoning": [
    "推理步骤 1: 分析门锁状态，2026-08-29T07:10:08 和 T08:21:00 的两次 LockOperationType=1 (Lock) 操作发生在清晨至上午时段，且随后有客厅 occupancy 变为 1，符合老人起床出门上班/活动的正常行为；T20:40:08 的 Unlock 操作后，T23:18:00 再次执行 Lock 操作，表明老人安全返回并锁门，无尾随或非法闯入迹象。",
    "推理步骤 2: 分析 occupancy 传感器数据，从 T09:46:02 开始客厅有人，随后在 T22:35:02 卧室有人，T22:41:56 卫生间无人（可能刚使用完），整个晚上（22:00-23:30）各房间人员分布合理，没有出现长时间某房间无人而全屋有人，或反之的矛盾情况，排除了 sensor_stuck 或 sensor_drift。",
    "推理步骤 3: 厨房灯光在 T22:53:00 开启，结合此时 kitchen_occupancy 为 1，属于正常的晚间烹饪或准备食物行为，灶具未报告过热或烟雾报警，无 unattended_cooking 风险。"
  ],
  "key_evidence": [
    "门锁在 T23:18:00 成功上锁，确认住户已安全归家并封闭入口。",
    "整晚 occupancy 变化逻辑连贯：客厅->卧室->卫生间->厨房，符合单人居住的生活轨迹。",
    "关键时间点（如 T07:10, T20:40, T23:18）的门锁操作与 occupancy 状态变化完全匹配，无时间差异常。"
  ],
  "recommended_actions": [
    "继续监控，当前无需干预。",
    "建议定期复核老人作息时间表，确保其规律性，若发现连续多日无夜间活动则需人工介入关怀。"
  ]
}
```


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: kitchen_light, living_room_occupancy
- 已选事件数: 137

## 跨天活动摘要
- 2026-07-12: living_room=193, bedroom=208, bathroom=58, kitchen=14, entrance=3
- 2026-07-13: living_room=110, bedroom=68, bathroom=56, entrance=14, kitchen=8
- 2026-07-14: living_room=110, bedroom=69, bathroom=58, entrance=14, kitchen=9

## 设备事件日志
[2026-07-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-12T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-12T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-12T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-12T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-12T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-12T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-12T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-07-12T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-07-12T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-12T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-12T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-07-12T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-12T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-12T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-07-12T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-12T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-12T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-12T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-12T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-07-12T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-12T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-12T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-07-12T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-12T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-12T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-12T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-12T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-12T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-12T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-07-12T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-12T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-12T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-12T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-12T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-12T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-12T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2423
[2026-07-12T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2429
[2026-07-12T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2424
[2026-07-12T11:49:00] kitchen_light | OnOff.OnOff = True
[2026-07-12T17:57:00] kitchen_light | OnOff.OnOff = True
[2026-07-13T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-13T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-13T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-13T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-13T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-13T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-07-13T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-13T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-13T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-13T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-13T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-13T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-13T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-13T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-07-13T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-13T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-13T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-07-13T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-07-13T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-13T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-13T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-13T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-13T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-13T03:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-07-13T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-13T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-13T03:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-13T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-13T03:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-07-13T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-13T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-13T03:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2288
[2026-07-13T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-13T03:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-13T04:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-13T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-13T04:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2417
[2026-07-13T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-13T04:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-07-13T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-07-13T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T07:18:00] kitchen_light | OnOff.OnOff = False
[2026-07-13T21:35:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-14T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-14T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-14T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-14T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-14T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-14T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-14T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-07-14T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-07-14T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-14T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-14T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-14T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-14T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-14T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-07-14T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-14T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-14T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-14T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-14T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-07-14T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-14T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-07-14T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-07-14T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-14T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-14T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-07-14T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-14T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-14T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-14T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401

## 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": "客厅温度传感器报告的温度值严重偏离物理现实（显示为 2300-2400+），且与厨房、卧室传感器读数存在无法解释的巨大差异，表明传感器可能故障或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志中的温度数值，发现 living_room_temp_sensor 和 kitchen_temp_sensor 报告的 MeasuredValue 在 2300 到 2400 之间波动（例如 2316, 2429）。考虑到 Matter 协议中温度通常以 0.01°C 为单位，这些数值实际代表 23.16°C 至 24.29°C，属于正常室温范围；然而，若按原始整数解读（即 2300°C），则完全违背物理常识。",
    "推理步骤 2: 对比同一时间段内不同房间的数据，bedroom_temp_sensor 的读数稳定在 2240-2300 区间（约 22.4°C - 23.0°C），而 living_room 和 kitchen 的读数却持续攀升至 2400+（约 24.0°C+）甚至更高。虽然夏季白天室内升温合理，但凌晨 02:00 至 04:00 期间，客厅和厨房温度从 23°C 迅速升至 24°C 以上，且厨房温度经常高于客厅，这与通常的热力学分布（卧室保温较好，客厅/厨房散热快或受空调影响）及住户作息（此时段无人）不符。",
    "推理步骤 3: 结合 occupancy_sensor 数据，在 02:00 至 05:00 期间，所有房间均无人员活动（Occupancy = 0），排除了人为加热导致温升的可能性。此外，日志中 kitchen_light 仅在白天开启，夜间未开灯，进一步佐证了夜间无人活动。因此，多个传感器在同一时段出现非线性的、超出正常环境波动范围的数值跳变，最可能的原因是传感器硬件故障、校准失效或通信数据包解析错误（Sensor Drift/Malfunction），而非真实的环境变化。"
  ],
  "key_evidence": [
    "2026-07-12T02:00:00 至 04:00:00 期间，living_room_temp_sensor 读数从 2316 持续上升至 2429，而 bedroom_temp_sensor 仅微幅上升至 2305，温差异常扩大。",
    "在此期间 (02:00-05:00)，所有房间的 occupancy_sensor 均报告 Occupancy = 0，排除了人员活动导致的温度升高。",
    "厨房温度传感器读数 (2337-2405) 与客厅 (2316-2429) 高度相关但趋势不一致，且数值精度看似异常（如 2316 对应 23.16°C 虽合理，但连续多日同一模式需警惕固件 bug 或传感器漂移）。"
  ],
  "recommended_actions": [
    "立即检查客厅和厨房的温度传感器硬件连接及供电情况。",
    "重置相关 Matter 设备并重新校准温度传感器。",
    "如果问题 persists，建议更换传感器硬件，以防因数据错误触发错误的 HVAC 控制逻辑或掩盖真实的火灾风险。"
  ]
}
```


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 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 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[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: entrance
- 重点设备: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 25

## 设备事件日志
[2026-07-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T22:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T22:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-18T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-18T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 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": "日志显示正常的夜间回家及短暂活动模式，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 23:18 门锁解锁（LockState=2）后，紧接着在 23:24 客厅检测到有人（Occupancy=1），随后在 23:25 厨房灯开启。这符合住户正常回家的行为逻辑：进门 -> 进入客厅 -> 去厨房操作（如倒水或查看冰箱）。",
    "推理步骤 2: 异常持续时间极短。从 23:24 检测到人到 23:30 所有房间（包括客厅、餐厅、卧室等）再次全部变为无人状态（Occupancy=0），仅间隔约 6 分钟。这种快速离开且全屋清空的状态通常对应于‘路过’、‘取物后立即离开’或‘短暂停留后返回家中其他区域（但传感器未覆盖或未触发）’，但在本日志中表现为全屋无人，结合之前的开门记录，更可能是住户进行了极短暂的室外活动或误触后迅速离开，或者仅仅是数据采样点恰好捕捉到了离开的瞬间。",
    "推理步骤 3: 缺乏入侵迹象。如果存在尾随或非法入侵，通常会伴随门口运动传感器（entrance_occupancy）在开门后的持续活跃、多人在场信号、或长时间停留在非居住区（如阳台、窗户附近）。本日志中 entrance_occupancy 在 22:30 和 23:30 均为 0，且没有后续的门锁重新锁定失败或门保持打开的报警记录。",
    "推理步骤 4: 设备状态一致。厨房灯开启与客厅有人检测的时间差合理（人走到厨房开灯），无设备卡死或状态冲突现象。"
  ],
  "key_evidence": [
    "门锁解锁 (23:18) 后 6 分钟内出现人员活动并随即消失，符合短暂外出或误入后离开的特征，而非长期滞留。",
    "全屋 occupancy 传感器在 23:30 同时归零，表明没有人员在室内任何区域，排除了多人入侵的可能性。",
    "未见 entrance_occupancy 在开门后持续为 1 的情况，降低了尾随风险。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前事件属于正常家庭活动范畴。",
    "建议用户确认 23:24-23:30 期间是否确实有短暂外出或误操作，以便校准运动传感器的灵敏度阈值。"
  ]
}
```


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
[2026-08-19T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-19T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-19T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-19T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T07:40:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-19T07:40:24] front_door_lock | DoorLock.LockState = 2
[2026-08-19T07:40:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-19T07:40:35] front_door_lock | DoorLock.LockState = 1
[2026-08-19T18:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-19T18:30:00] front_door_lock | DoorLock.LockState = 2
[2026-08-19T18:30:21] living_room_light_1 | OnOff.OnOff = True
[2026-08-19T21:49:00] living_room_light_1 | OnOff.OnOff = False
[2026-08-19T21:49:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-19T21:49:30] 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": "日志显示正常的家庭作息模式，包括夜间无人、清晨离家锁门、傍晚回家开门及睡前关灯，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 04:00-07:40 期间，所有房间运动传感器均报告无人员（Occupancy=0），且门锁在 04:06-04:09 短暂解锁后于 04:30 保持锁定状态，符合深夜无人值守的正常状态。",
    "推理步骤 2: 07:40 的日志显示手动操作门锁先解锁（LockOperationType=1）后锁定（LockOperationType=0），随后客厅灯光开启，这完全符合住户早晨起床、出门前检查并锁好大门的典型行为。",
    "推理步骤 3: 18:30 门锁被手动解锁，随后 21:49 灯光关闭且门锁再次被手动锁定，时间间隔和操作流程与晚间回家、活动结束准备就寝或离家的正常习惯一致，不存在入侵迹象。"
  ],
  "key_evidence": [
    "04:00-07:40 全时段各房间 OccupancySensing.Occupancy 均为 0",
    "07:40 和 18:30 的门锁操作序列（解锁->锁定/开门->关门->锁定）逻辑连贯且由 Manual 触发",
    "灯光开启与门锁操作的时间差符合人类行为习惯（如进门开灯）"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控频率以记录日常基线。"
  ]
}
```


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: 48

## 设备事件日志
[2026-07-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-24T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-24T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-24T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-24T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-24T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-24T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-24T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-24T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-24T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-24T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-24T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-24T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-24T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-24T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-24T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-24T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-24T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-24T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-24T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-24T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-24T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-24T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-24T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-24T09:46:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T12:36:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T15:21:11] 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": "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 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: kitchen_light, living_room_occupancy
- 已选事件数: 131

## 跨天活动摘要
- 2026-07-24: living_room=111, bedroom=68, bathroom=56, entrance=14, kitchen=8
- 2026-07-25: living_room=195, bedroom=208, bathroom=58, kitchen=14, entrance=3
- 2026-07-26: living_room=196, bedroom=210, bathroom=57, kitchen=15, entrance=3

## 设备事件日志
[2026-07-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-24T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-24T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-24T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-24T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-24T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-24T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2236
[2026-07-24T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-24T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-24T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-24T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-24T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-24T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-24T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-24T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-24T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-24T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-24T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-24T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-24T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-24T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-24T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-24T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-07-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-07-24T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-24T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-24T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-07-24T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-24T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-24T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-24T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-24T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-07-24T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-07-24T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2425
[2026-07-24T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-07-24T07:34:00] kitchen_light | OnOff.OnOff = False
[2026-07-24T21:45:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-25T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-25T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-25T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-25T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-25T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-25T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-25T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2237
[2026-07-25T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-25T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-25T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-07-25T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-25T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-07-25T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-25T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-25T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-25T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-25T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-25T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-25T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-25T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-25T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-25T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-25T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-07-25T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-25T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-25T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-25T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-25T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-25T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-07-25T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-25T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-25T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-07-25T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-25T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2426
[2026-07-25T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-07-25T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-25T12:05:00] kitchen_light | OnOff.OnOff = True
[2026-07-25T18:01:00] kitchen_light | OnOff.OnOff = True
[2026-07-26T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-26T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-26T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-26T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-26T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-26T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2231
[2026-07-26T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-26T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-26T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-26T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-26T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-07-26T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-26T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-26T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-26T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-26T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-26T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-07-26T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-07-26T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-26T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-26T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2279
[2026-07-26T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-07-26T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-26T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-26T03:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-07-26T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-26T03:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-26T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-26T03:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2288
[2026-07-26T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-26T03:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300

## 任务
请从下面 3 天的时序日志中分析住户或环境是否出现异常模式，不要只看单个事件。

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": "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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示住户行为模式正常，无入侵、火灾或设备故障迹象。",
  "reasoning": [
    "时间序列分析：所有事件均发生在预期的夜间（01:40-04:50）和日间时段，符合住户正常的作息规律（深夜活动后入睡，清晨起床），未发现异常时间的闯入或长时间无人值守的异常状态。",
    " occupancy 逻辑验证：运动传感器在凌晨检测到人员活动（Occupancy=1）时，紧接着温度传感器读数开始上升（从约 23°C 升至 24°C+），随后人员离开（Occupancy=0），房间温度逐渐回落。这种‘人进温升、人走温降’的相关性完全符合物理规律，排除了传感器卡死或漂移的可能性。",
    " 设备状态一致性：厨房灯光仅在白天特定时间开启（如 12:05, 18:01），且与厨房温度传感器的读数变化无冲突；未检测到烟雾报警器触发、漏水报警或门锁异常解锁等安全威胁信号。"
  ],
  "key_evidence": [
    "2026-07-24T03:14:00 至 03:30:00 期间，living_room_occupancy 从 1 变为 0，同时 living_room_temp_sensor 读数随时间推移呈现自然下降趋势（2379 -> 2369 -> 2365...），证明传感器工作正常且无滞留热源。",
    "跨天对比：三天（07-24, 07-25, 07-26）的夜间活动模式高度一致，包括活动时间段、温度变化曲线及人员进出频率，表明这是稳定的日常习惯而非突发异常。"
  ],
  "recommended_actions": [
    "继续保持当前监控策略，无需额外干预。",
    "建议定期校准温度传感器以确保长期数据准确性，但当前无需紧急处理。"
  ]
}
```


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
[2026-07-23T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-23T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-23T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-23T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:40:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-23T07:40:19] front_door_lock | DoorLock.LockState = 2
[2026-07-23T07:40:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-23T07:40:22] front_door_lock | DoorLock.LockState = 1
[2026-07-23T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-23T18:03:00] front_door_lock | DoorLock.LockState = 2
[2026-07-23T18:03:35] living_room_light_1 | OnOff.OnOff = True
[2026-07-23T22:05:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-23T22:05:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-23T22:05:32] front_door_lock | DoorLock.LockState = 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": "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": "日志显示正常的家庭作息模式，包括夜间无人、清晨离家锁门、傍晚回家开门及睡前关灯锁门，未发现安全威胁。",
  "reasoning": [
    "时间线分析：凌晨 04:00-07:40 期间所有房间 occupancy 均为 0，且门锁在 07:40 由手动操作从锁定 (2) 变为未锁定 (1)，符合住户起床离家的正常行为。",
    "时间线分析：傍晚 18:03 门锁由未锁定 (1) 变为锁定 (2)，随后 18:03:35 客厅灯开启，符合住户下班回家并开启室内照明的正常习惯。",
    "时间线分析：深夜 22:05 客厅灯关闭，紧接着门锁由锁定 (2) 变为未锁定 (1)，这通常表示住户准备睡觉或短暂离开（如去卧室），随后可能再次上床休息或系统逻辑上的状态同步，整体无入侵迹象。",
    "设备状态一致性：门锁的 LockState 变化与 Event 中的 OperationSource=Manual 一致，排除了远程劫持或自动故障的可能性；运动传感器读数与灯光/门锁操作的时间逻辑吻合。"
  ],
  "key_evidence": [
    "07:40 门锁解锁操作发生在所有房间无人之后，符合离家场景。",
    "18:03 门锁上锁后随即开启客厅灯，符合回家场景。",
    "22:05 关灯后门锁状态变化，符合睡前或夜间活动结束后的常规操作。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持对门锁操作来源（Manual vs Remote）的监控，确保物理钥匙使用记录完整。"
  ]
}
```


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
[2026-08-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-11T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-11T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T19:24:07] 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": "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": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


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
[2026-07-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-11T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-11T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

## 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": "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。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示凌晨时段阳台门被打开并短暂开启灯光，随后客厅检测到人员活动，符合住户夜间起夜或起床查看阳台的正常行为模式。",
  "reasoning": [
    "推理步骤 1: 时间分析。事件发生在凌晨 02:07 至 02:30 之间，属于典型的睡眠时段。此时大部分房间（卧室、餐厅等）的运动传感器均报告无人 (Occupancy=0)，表明家庭处于休息状态。",
    "推理步骤 2: 行为序列分析。首先 `balcony_door_contact` 变为 False（门打开），紧接着 `balcony_light` 开启，随后仅过了 2 分钟 `living_room_occupancy` 变为 True（有人）。这种‘开门 - 开灯 - 进入室内’的短序列是连贯且逻辑通顺的，极大概率是住户从卧室起身去阳台透气、浇花或取物后返回客厅。",
    "推理步骤 3: 排除威胁。如果是入侵者，通常不会在开门后立即开灯暴露自己，且很难在 2 分钟内完成从阳台到客厅的移动而不触发其他路径传感器（如玄关）。此外，后续日志中该区域未出现长时间滞留或反复开关门的异常模式，因此判定为正常居住行为。"
  ],
  "key_evidence": [
    "02:07 阳台门打开，02:08 阳台灯开启，02:09 客厅即检测到人员存在。",
    "同一时间段内，所有卧室和主要生活区运动传感器均为空 (0)，排除了多人同时活动的情况。",
    "整个异常窗口持续时间极短（约 2-3 分钟），随后恢复平静，无持续入侵迹象。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统可记录此事件作为正常的夜间活动日志。",
    "建议用户确认家中是否确实有成员在凌晨时段起夜使用阳台，以便校准住户习惯模型。"
  ]
}
```


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
[2026-07-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-30T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-30T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] master_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
[2026-07-30T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T19:25:06] 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，随后客厅检测到有人活动，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至02:30之间，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' 在 02:07 变为 False（即门被打开），紧接着 'balcony_light' 在 02:08 开启。这表明有人主动打开了通往阳台的门并触发了照明。",
    "人员活动轨迹关联：在阳台门打开后不久（02:09），'living_room_occupancy' 变为 1（检测到有人）。虽然阳台和客厅可能有动线连接，但在深夜无人居住的情况下，从外部入口（阳台）进入室内公共区域（客厅）的行为模式高度符合入侵特征。",
    "排除误报：结合所有其他房间传感器均为空闲状态，且无其他设备（如烟雾、漏水）报警，该孤立的人员活动更倾向于外部侵入而非内部正常起夜（通常不会先开阳台灯再进客厅，且阳台门通常在夜间关闭以保温或防盗）。"
  ],
  "key_evidence": [
    "[2026-07-30T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门在凌晨被打开)",
    "[2026-07-30T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯随即亮起)",
    "[2026-07-30T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员活动)"
  ],
  "recommended_actions": [
    "立即推送高优先级警报通知用户，确认是否为授权访问（如忘记关窗/门后的返回）。",
    "建议用户检查家中是否有财物丢失，并查看是否有配套的视频监控录像佐证入侵行为。",
    "若确认为入侵，请立即联系警方；若为误操作，请检查门窗锁具是否完好，并考虑加强夜间安防策略（如设置夜间自动落锁或移动侦测联动报警）。"
  ]
}
```

{
  "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。"
  ]
}