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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 37

## 设备事件日志
[2026-07-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-17T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-17T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T07:09:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T07:09:02] front_door_lock | DoorLock.LockState = 2
[2026-07-17T07:09:04] front_door_contact | BooleanState.StateValue = False
[2026-07-17T07:09:06] front_door_contact | BooleanState.StateValue = True
[2026-07-17T07:09:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T07:09:07] front_door_lock | DoorLock.LockState = 1
[2026-07-17T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-17T08:29:00] front_door_lock | DoorLock.LockState = 2
[2026-07-17T08:29:02] front_door_contact | BooleanState.StateValue = False
[2026-07-17T09:49:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T12:39:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:27:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T18:17:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T20:47:09] front_door_contact | BooleanState.StateValue = True
[2026-07-17T20:47:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-17T20:47:10] front_door_lock | DoorLock.LockState = 1
[2026-07-17T21:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T23:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的独居老人日间活动模式，无入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (00:00 - 07:00)，所有房间运动传感器持续报告无人 (Occupancy=0)，符合独居老人的睡眠习惯；凌晨 02:11 门锁解锁和开门事件发生在极短时间内且随后立即关门上锁，结合玄关灯开启，符合起夜如厕或短暂查看门口的正常行为，且未检测到后续人员滞留。",
    "推理步骤 2: 分析日间时段 (07:09 - 23:53)，门锁操作记录显示规律的出门 (07:09, 08:29) 和回家 (20:47) 行为，时间间隔合理，符合日常作息。",
    "推理步骤 3: 交叉验证发现，当入户门被打开时 (front_door_contact=False)，客厅运动传感器在合理延迟后 (约 2 分钟) 才检测到有人进入 (living_room_occupancy=1)，且离开时顺序一致，排除了尾随入侵或传感器故障的可能性。"
  ],
  "key_evidence": [
    "夜间全时段 (00:00-07:00) 所有区域 Occupancy 均为 0，符合睡眠状态。",
    "门锁操作序列完整：解锁 -> 开门 -> 关门 -> 上锁，且伴随灯光变化，逻辑自洽。",
    "日间活动轨迹清晰：早晨出门、白天外出、傍晚回家，无异常长时间停留或非法闯入痕迹。"
  ],
  "recommended_actions": [
    "继续监控，当前系统运行正常。",
    "建议保持现有报警阈值，无需调整策略。"
  ]
}
```


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: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 102

## 跨天活动摘要
- 2026-07-27: living_room=212, bedroom=244, kitchen=238, entrance=230, bathroom=61

## 设备事件日志
[2026-07-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-27T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-07-27T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-07-27T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-07-27T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-27T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-27T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-27T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-27T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-27T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-27T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2213
[2026-07-27T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-27T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-27T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2226
[2026-07-27T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-27T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-27T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2216
[2026-07-27T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-27T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-27T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2221
[2026-07-27T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-27T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2227
[2026-07-27T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-27T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-27T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-27T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-27T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-27T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2240
[2026-07-27T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-27T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-27T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-07-27T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-27T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-27T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-27T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-27T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-07-27T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-27T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-27T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-27T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-27T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-27T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-27T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-27T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-27T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-27T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-27T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-27T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-07-27T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-27T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-27T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-27T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-27T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-27T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-27T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-27T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-07-27T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-27T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-07-27T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-27T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-27T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-07-27T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-27T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-27T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-07-27T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-27T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-27T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-27T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-27T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-27T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-27T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-27T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-27T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-27T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-27T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-27T09:42:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T12:32:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:20:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T18:10:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T20:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T23:49:00] 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": "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。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "凌晨时段（02:31-04:10）客厅窗户被打开，且室内温度持续异常升高至约 24°C（2407 mK），而住户传感器显示无人在场，存在极高的火灾或高温安全隐患。",
  "reasoning": [
    "推理步骤 1: 时间与环境分析。日志显示在 2026-07-27 凌晨 02:31 分，living_room_window_contact 状态变为 False（打开）。此时为深夜，独居老人通常处于睡眠状态。",
    "推理步骤 2: 人员行为分析。在窗户打开后的短时间内（02:34），living_room_occupancy 曾短暂检测到人（Occupancy=1），但随后在 03:00、03:30、04:00 等多次连续报告中显示 Occupancy=0。这表明该人员可能已离开，或者传感器误报，导致房间处于‘无人值守’状态。",
    "推理步骤 3: 物理环境异常分析。最关键的异常在于温度数据。从 02:35 开始，living_room_temp_sensor 读数从正常的 23°C 左右开始急剧上升，并在 04:10 达到峰值 2407 mK (即 24.07°C)。考虑到夏季夜间室外温度通常较低，且空调未开启（假设默认关闭或节能模式），室内温度在无人的情况下持续攀升至接近人体体温甚至更高，这极不寻常。这种温升模式符合密闭空间内热源（如电器故障、线路过热起火初期）的特征，而非自然气温变化。",
    "推理步骤 4: 综合风险评估。窗户打开可能导致外部空气对流，但如果内部有持续热源，热量积聚会导致温度飙升。结合‘独居老人’这一脆弱群体背景，以及‘无人在场’时的‘高温 + 开窗’组合，高度怀疑发生了电气火灾风险或设备过热，且由于窗户打开和无人监测，烟雾报警器可能未能及时触发或未被注意。"
  ],
  "key_evidence": [
    "02:31 living_room_window_contact 变为 False (窗户打开)",
    "02:34 - 04:10 期间 living_room_occupancy 多次报告为 0 (无人)",
    "02:35 - 04:10 期间 living_room_temp_sensor 读数从 ~23°C 持续上升至 24.07°C (异常温升)"
  ],
  "recommended_actions": [
    "立即远程通知家属或紧急联系人，告知可能存在火灾隐患。",
    "检查客厅烟雾报警器是否已触发，确认是否有火情发生。",
    "建议物业或维修人员上门检查客厅空调、路由器或其他电子设备是否存在过热或短路故障。",
    "核实窗户开启原因，检查是否有小动物进入或人为疏忽。"
  ]
}
```


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: 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
- 2026-07-09: entrance=228, kids_room=231, master_bedroom=230, dining_room=217, living_room=114, master_bathroom=54

## 设备事件日志
[2026-07-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:10:08] kitchen_light | OnOff.OnOff = True
[2026-07-09T07:42:02] kitchen_light | OnOff.OnOff = False
[2026-07-09T07:42:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:42:14] front_door_lock | DoorLock.LockState = 2
[2026-07-09T07:42:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T07:42:17] front_door_lock | DoorLock.LockState = 1
[2026-07-09T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T16:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T18:03:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T18:28:00] kitchen_light | OnOff.OnOff = True
[2026-07-09T19:28:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:58:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T21:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T21:48:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:08:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:28:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:32:28] front_door_contact | BooleanState.StateValue = True
[2026-07-09T22:32:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T22:32:29] front_door_lock | DoorLock.LockState = 1
[2026-07-09T22:35:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:35:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:37:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:40:31] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T22:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:48:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:55:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:55:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T22:57:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T23:25:00] 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": "日志显示正常的家庭晚间活动模式，包括入户、用餐、休息及睡前锁门操作，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，用户在 07:42 离家（门锁锁定），随后在 16:05 和 18:03 两次返回家中并立即重新上锁，符合正常的工作/外出回家场景。",
    "推理步骤 2: 傍晚 18:28 开启厨房灯，紧接着 19:28 客厅有人出现，随后 21:48 玄关和客厅同时检测到人员，表明家庭成员陆续归家或在家内移动，行为连贯且合理。",
    "推理步骤 3: 夜间 22:32 检测到前门接触传感器触发（True），随即用户手动执行解锁操作（LockOperationType=0）并将门锁状态设为未锁定（1），这是典型的开门进入动作；随后在 23:18 门锁状态自动或手动变为锁定（2），符合睡前锁门的习惯。整个过程中 occupancy 数据与门锁状态变化逻辑一致，无异常滞留或非法入侵迹象。"
  ],
  "key_evidence": [
    "22:32 前门接触传感器触发后立即伴随手动解锁操作，证实为合法开门行为。",
    "23:18 门锁状态变为锁定（2），确认用户在睡前完成了安全锁闭程序。",
    "所有 occupancy 事件的时间分布与门锁开关时间吻合，呈现清晰的‘离家 - 回家 - 休息’生活节奏。"
  ],
  "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策略，定期审查此类跨天活动摘要以建立更精准的用户行为基线。"
  ]
}
```


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: 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
[2026-07-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-18T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-18T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点阳台门被打开且灯光亮起，同时客厅检测到有人活动，但其他卧室及入户区域无人员活动迹象，存在非法入侵或异常行为的高风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:07-02:09，属于典型的深夜时段，此时住户通常处于睡眠状态，非正常活动时间。",
    "物理访问异常：阳台门传感器（balcony_door_contact）在02:07显示为False（即门被打开），紧接着阳台灯（balcony_light）在02:08开启，表明有人主动触发了照明并进入了阳台区域。",
    "人员分布矛盾：虽然客厅运动传感器（living_room_occupancy）在02:09检测到有人（Occupancy=1），但在同一时间段内，主卧、次卧、卫生间、玄关等所有其他区域的运动传感器均保持无人状态（Occupancy=0）。如果这是住户起夜，通常会经过玄关或在卫生间有活动；如果是访客从阳台潜入，则符合“仅阳台和客厅有活动”的特征，且避开了主要休息区，具有明显的入侵特征。"
  ],
  "key_evidence": [
    "[2026-07-18T02:07:00] balcony_door_contact | BooleanState.StateValue = False (阳台门开启)",
    "[2026-07-18T02:08:00] balcony_light | OnOff.OnOff = True (阳台灯开启)",
    "[2026-07-18T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅有人)",
    "[2026-07-18T02:00:00 - 02:30:00] 所有卧室及入口传感器均为 Occupancy = 0 (无其他人员活动)"
  ],
  "recommended_actions": [
    "立即通过智能家居APP查看是否有关联的摄像头录像，确认阳台及客厅画面中的人员身份。",
    "若确认为陌生人入侵，请立即触发紧急报警并联系警方；若为住户误操作（如忘记关门），请远程锁定门窗并通知住户。",
    "检查阳台门锁具状态，确保物理锁已扣合，防止再次被轻易打开。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-08-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-28T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-28T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:25:11] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:46:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:11:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T23:36:03] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "凌晨2点阳台门被打开且灯光亮起，同时客厅检测到人员活动，存在极高的非法入侵风险。",
  "reasoning": [
    "时间异常：事件发生在凌晨02:07至02:30之间，这是典型的深夜时段，绝大多数住户应处于睡眠状态，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（通常代表门从关闭变为打开），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。",
    "室内活动确认：在阳台门打开后仅2分钟（02:09），'living_room_occupancy' 检测到人（Occupancy = 1）。考虑到所有卧室传感器（主卧、次卧）和玄关传感器均保持无人状态，且该活动集中在客厅/阳台区域，这符合入侵者进入室内后的行为模式，而非住户起夜（通常会经过玄关或前往卫生间/卧室）。"
  ],
  "key_evidence": [
    "2026-08-28T02:07:00 balcony_door_contact | BooleanState.StateValue = False (阳台门打开)",
    "2026-08-28T02:08:00 balcony_light | OnOff.OnOff = True (阳台灯亮)",
    "2026-08-28T02:09:00 living_room_occupancy | OccupancySensing.Occupancy = 1 (客厅检测到人员)"
  ],
  "recommended_actions": [
    "立即触发家庭安全警报并通知住户及安保服务。",
    "检查阳台门锁的物理状态及是否有破坏痕迹。",
    "调取关联时间段内的监控录像（如有）以确认入侵者身份。"
  ]
}
```

{
  "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: 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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 33

## 设备事件日志
[2026-08-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-21T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-21T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-21T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T07:10:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-21T07:10:15] front_door_lock | DoorLock.LockState = 2
[2026-08-21T07:10:17] front_door_contact | BooleanState.StateValue = False
[2026-08-21T07:10:18] front_door_contact | BooleanState.StateValue = True
[2026-08-21T07:10:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-21T07:10:19] front_door_lock | DoorLock.LockState = 1
[2026-08-21T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-21T18:21:00] front_door_lock | DoorLock.LockState = 2
[2026-08-21T18:21:02] front_door_contact | BooleanState.StateValue = False
[2026-08-21T18:21:14] entrance_light | OnOff.OnOff = True
[2026-08-21T19:26:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T20:51:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T21:45:07] entrance_light | OnOff.OnOff = False
[2026-08-21T21:45:44] front_door_contact | BooleanState.StateValue = True
[2026-08-21T21:45:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-21T21:45:45] front_door_lock | DoorLock.LockState = 1
[2026-08-21T22:16:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T23:41:05] 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": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 凌晨 02:11 门锁解锁并开门",
    "推理步骤2: 玄关灯随后开启",
    "推理步骤3: 紧接着出现室内活动，不像误触"
  ],
  "key_evidence": [
    "凌晨 02:11 门锁解锁并开门",
    "玄关灯随后开启",
    "紧接着出现室内活动，不像误触"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭作息模式，包括夜间无人、清晨离家锁门、傍晚回家开门及晚间活动，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (00:00 - 07:00)，所有房间运动传感器均为 0，门锁在 02:11 处于锁定状态且门接触传感器为关闭 (False)，表明住户已安全入睡且门窗紧闭，符合正常睡眠模式。",
    "推理步骤 2: 分析清晨时段 (07:10)，门锁被手动解锁并打开，随后门接触传感器状态翻转，紧接着玄关灯亮起，这是典型的住户起床出门行为序列，逻辑连贯。",
    "推理步骤 3: 分析傍晚至夜间时段 (18:21 - 23:41)，门锁再次被手动操作（先锁后开），住户进入家中（客厅有人），并在 21:45 左右进行关门和锁门操作，随后虽有人员活动但整体流程符合正常的下班回家及居家生活规律。",
    "推理步骤 4: 综合全量日志，设备状态变化（如灯光开关、门锁操作）与运动传感器数据高度一致，不存在时间戳冲突、异常停留或未经授权的访问迹象。"
  ],
  "key_evidence": [
    "02:11 门锁锁定且全屋无人员活动，确认夜间安防状态正常。",
    "07:10 门锁解锁、开门、亮灯的顺序完全符合离家晨间流程。",
    "21:45 住户主动执行关门并锁门操作，排除了尾随入侵风险。"
  ],
  "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，定期更新固件以确保 Matter 协议兼容性。"
  ]
}
```


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: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 96

## 跨天活动摘要
- 2026-07-01: living_room=212, bedroom=243, kitchen=238, entrance=230, bathroom=60

## 设备事件日志
[2026-07-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-07-01T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2288
[2026-07-01T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2293
[2026-07-01T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-01T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-07-01T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-01T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-01T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-01T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-01T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-01T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2223
[2026-07-01T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-01T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-01T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2217
[2026-07-01T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-01T01:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-07-01T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-01T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2220
[2026-07-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-01T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2231
[2026-07-01T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-01T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-01T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-07-01T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-01T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-01T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-01T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-07-01T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-01T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2246
[2026-07-01T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-01T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-01T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-07-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-01T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-01T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-01T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-01T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-01T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-01T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-01T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-01T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-01T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-01T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-01T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-07-01T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-01T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-01T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-07-01T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-01T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-01T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-01T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-01T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-07-01T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-01T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-01T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-07-01T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-01T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-01T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-07-01T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-01T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-01T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-01T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-01T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-01T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-01T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-01T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-01T09:46:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:36:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T15:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:11:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T20:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T23:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "凌晨时段（02:30-04:00）客厅窗户被打开，且室内温度持续异常升高并超出正常范围，存在严重的火灾隐患。",
  "reasoning": [
    "推理步骤 1: 时间与环境分析。日志显示在凌晨 02:31 至 02:32 期间，living_room_window_contact 状态变为 False（打开），此时所有房间（包括卧室、厨房、卫生间等）的 occupancy 传感器均报告为 0（无人）。对于独居老人家庭，深夜开窗且无人活动属于高度异常行为。",
    "推理步骤 2: 温度异常关联分析。从 01:45 开始，客厅温度传感器读数呈现持续上升趋势（从 23.17°C 升至 24.03°C）。结合 Matter 协议中温度通常以 0.1°C 为单位（即 2380 = 23.8°C），当前读数 2403 代表 24.03°C。考虑到夜间室外气温通常较低，且无人员活动产生热量，室内温度在密闭或半开放状态下自然上升至 24°C 以上极不寻常，暗示可能存在外部热源（如火灾）或设备故障导致的热量积聚。",
    "推理步骤 3: 综合风险评估。窗户打开增加了氧气供应，若室内存在火源（如电器过热、线路老化），将极大加速火势蔓延；同时高温本身也是火灾的前兆或伴随现象。烟雾报警器未在日志中触发报警，可能意味着尚未达到报警阈值，但风险已处于临界点，必须立即干预以防酿成大祸。"
  ],
  "key_evidence": [
    "2026-07-01T02:31:00 living_room_window_contact 状态变为 False (Open)，而此时全屋 occupancy 均为 0。",
    "2026-07-01T02:30:00 至 2026-07-01T04:00:00 期间，living_room_temp_sensor 读数从 2394 (23.94°C) 持续攀升至 2403 (24.03°C)，在无人员活动的深夜出现非正常升温。"
  ],
  "recommended_actions": [
    "立即远程通知住户或其紧急联系人，告知家中存在高温及窗户开启的异常情况。",
    "建议系统自动或人工触发现场烟雾/热感报警器进行二次确认（如果硬件支持联动）。",
    "待住户返回或确认安全后，强制关闭客厅窗户，并检查是否有明火、烟雾或异常气味。",
    "检查客厅空调及附近电器是否正常工作，排除设备过热导致的误报或真实隐患。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light_1
- 已选事件数: 24

## 设备事件日志
[2026-07-21T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-21T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-21T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-21T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T07:42:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-21T07:42:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-21T16:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-21T17:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-21T17:48:13] living_room_light_1 | OnOff.OnOff = True
[2026-07-21T22:46:00] living_room_light_1 | OnOff.OnOff = False
[2026-07-21T22:46:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-21T22:46:34] 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": "日志显示正常的夜间无人状态及白天的常规出入和照明行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:30 期间，所有房间（包括玄关、客厅、卧室）的 OccupancySensing.Occupancy 均为 0，且入户门锁在 04:06-04:07 处于解锁状态（LockState=1），随后于 04:09 开启客厅灯。结合时间判断，这是住户离家后的正常‘布防’或‘离家模式’下的待机状态，门锁未上锁是因为门是开着的或刚离开不久，符合逻辑。",
    "推理步骤 2: 白天时段（07:42, 16:03, 17:48）的 LockOperation 事件均标记为 Manual（手动操作），且伴随合理的开门/关门动作序列（如 07:42 开锁后几秒内无异常入侵迹象，17:48 开门后立即在 17:48:13 开启客厅灯，表明有人进入并活动）。",
    "推理步骤 3: 晚间 22:46 关闭客厅灯并在 22:46:34 执行关门上锁操作（LockState 变为 1），这一系列动作构成了完整的‘回家 - 活动 - 离家/休息’闭环，完全符合家庭日常作息习惯，不存在尾随、非法闯入或设备故障的迹象。"
  ],
  "key_evidence": [
    "所有传感器在凌晨持续报告 Occupancy = 0，确认家中无人。",
    "白天的门锁操作均有明确的手动触发源（Manual）且与灯光开启等人类活动行为时间吻合。",
    "晚间 22:46 的关灯和上锁操作顺序合理，符合睡前或离家的标准流程。"
  ],
  "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监控频率，关注后续是否有非手动触发的异常门锁状态变化。"
  ]
}
```


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: 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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 45

## 跨天活动摘要
- 2026-07-16: entrance=234, bedroom=240, kitchen=240, living_room=208, bathroom=59

## 设备事件日志
[2026-07-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-16T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-16T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T06:54:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T06:54:03] front_door_lock | DoorLock.LockState = 2
[2026-07-16T06:54:05] front_door_contact | BooleanState.StateValue = False
[2026-07-16T06:54:10] front_door_contact | BooleanState.StateValue = True
[2026-07-16T06:54:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T06:54:11] front_door_lock | DoorLock.LockState = 1
[2026-07-16T08:39:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T08:39:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T08:39:02] front_door_contact | BooleanState.StateValue = False
[2026-07-16T09:49:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T12:34:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T15:19:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T18:04:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T20:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T20:54:07] front_door_contact | BooleanState.StateValue = True
[2026-07-16T20:54:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T20:54:08] front_door_lock | DoorLock.LockState = 1
[2026-07-16T23:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T23:54:00] 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": "日志显示独居老人正常的夜间外出、日间活动及晚间归家模式，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析夜间时段 (02:11 - 02:30)，门锁解锁 (LockState=1) 后门接触传感器变 False (开门)，随后玄关灯开启，紧接着客厅有人 (Occupancy=1)，约 18 分钟后客厅无人且所有房间无人。此序列符合老人起夜如厕或短暂外出查看情况后的正常行为，且门锁在离开时已重新上锁 (LockState=2 未出现，但后续日志显示白天有明确上锁操作，此处需结合上下文，实际上 02:11 是解锁，02:12 灯亮，02:13 人进客厅，02:30 人消失。关键在于没有检测到非法闯入后的持续停留或二次开锁尝试)。更正：02:11 解锁，02:12 灯亮，02:13 人进入客厅，02:30 人离开。这是一个完整的‘出门’或‘室内移动’事件。由于之后长时间无人员活动直到早上，这更像是老人起床活动。",
    "推理步骤 2: 分析早晨时段 (06:54 - 08:39)，门锁先被手动上锁 (LockOperationType=1)，随后门打开 (Contact=False)，再关闭并上锁 (LockOperationType=0 -> LockState=1? 不，Log 显示 06:54:11 LockState=1 即 unlocked，然后 08:39 再次 LockOperationType=1 上锁)。这里的时间线是：06:54 上锁 (可能是误触或测试？或者之前是开着的)，然后开门出去；08:39 再次上锁。更合理的解释是：06:54 记录的是关门上锁动作（如果之前门是开的），然后开门出去；或者 06:54 是远程/自动上锁失败后的手动干预。但最关键的是 08:39 明确记录了 'LockOperation(LockOperationType=1)' (上锁) 和随后的开门动作，这是典型的离家准备流程。",
    "推理步骤 3: 分析晚间时段 (20:49 - 20:54)，客厅有人，随后门接触传感器变 True (关门)，紧接着门锁执行解锁操作 (LockOperationType=0) 变为未锁定状态 (LockState=1)。这是标准的回家开门流程。整个一天的活动轨迹（夜间短暂活动、早晨出门、傍晚回家）逻辑连贯，时间间隔合理，符合独居老人的生活习惯，无任何强行闯入、尾随或设备故障的迹象。",
    "推理步骤 4: 对比历史摘要，夜间各房间计数较低 (entrance=234 vs bedroom=240)，说明大部分时间在休息，仅有个别时刻的活动，这与日志中 02:13 的短暂活跃一致，属于正常生理节律。"
  ],
  "key_evidence": [
    "02:11-02:30 期间出现的‘解锁->开门->灯亮->有人->无人’序列符合夜间正常活动模式。",
    "08:39 和 20:54 的门锁操作与门接触传感器状态变化完全匹配标准的‘离家’和‘回家’流程。",
    "全天无未经授权的重复开锁尝试或门保持开启状态的异常情况。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对独居老人夜间活动的监控，若未来出现凌晨长时间无人响应或频繁异常开门，则需介入。"
  ]
}
```


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: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 98

## 跨天活动摘要
- 2026-08-22: living_room=212, bedroom=243, kitchen=238, entrance=231, bathroom=59

## 设备事件日志
[2026-08-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-22T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-22T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-22T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-22T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-22T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-22T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-22T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-22T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-22T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2212
[2026-08-22T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-22T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-22T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2224
[2026-08-22T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-22T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-22T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-22T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2216
[2026-08-22T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-22T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-22T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-08-22T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-22T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-22T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2234
[2026-08-22T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-22T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-22T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-22T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-22T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-22T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-22T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-22T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-22T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-22T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-22T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-22T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-22T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-22T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-22T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-22T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-22T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-22T02:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-08-22T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-22T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-22T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-22T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-22T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-22T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-22T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-22T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-22T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-22T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-22T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-22T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-22T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-22T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-22T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-22T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-22T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-22T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-22T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-22T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-22T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-22T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-22T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-22T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-22T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-22T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-22T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-22T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-22T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-08-22T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-22T09:44:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T12:34:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T15:22:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T18:12:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T20:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T23:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "凌晨时段（02:31-04:10）检测到窗户被打开，随后室内温度持续异常升高且无人活动，存在极高的火灾或过热风险。",
  "reasoning": [
    "推理步骤 1: 在凌晨 02:31 和 02:32，客厅 (living_room) 和卧室 (bedroom) 的窗户接触传感器状态变为 False（打开），此时所有房间的运动传感器均报告无人 (Occupancy=0)。",
    "推理步骤 2: 窗户打开后，从 02:35 开始，客厅温度传感器读数从约 23.4°C 持续攀升至 04:10 的 24.1°C，且厨房温度也同步上升，表明热源正在积聚或外部高温空气进入导致室内升温。",
    "推理步骤 3: 结合独居老人背景，凌晨窗户开启且伴随不明热源导致的温度持续升高，极有可能是火灾隐患（如电器故障、线路短路引发闷烧）或极端天气下的危险状况，而非正常通风行为（通常不会导致如此显著的温升且无人员在场）。",
    "推理步骤 4: 尽管烟雾报警器未触发，但温度的持续单向上升趋势是火灾发生前的典型前兆，属于高优先级安全风险。"
  ],
  "key_evidence": [
    "2026-08-22T02:31:00 living_room_window_contact 状态变为 False (Open)",
    "2026-08-22T02:34:00 living_room_occupancy 为 0 (无人)",
    "2026-08-22T02:35:00 至 2026-08-22T04:10:00 期间，living_room_temp_sensor 读数从 23.47°C 持续上升至 24.11°C",
    "同一时间段内 kitchen_temp_sensor 和 bedroom_temp_sensor 也呈现同步上升趋势"
  ],
  "recommended_actions": [
    "立即远程通知住户或其紧急联系人，告知家中可能存在火险隐患。",
    "建议物业或社区工作人员尽快上门检查客厅及厨房是否存在明火、烟雾或异常热源。",
    "检查并校准温度传感器，排除设备故障导致的误报，同时确认窗户开启是否为人为疏忽。"
  ]
}
```


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

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

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

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

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

## 设备事件日志
[2026-07-12T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-12T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-12T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-12T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T06:53:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-12T06:53:08] front_door_lock | DoorLock.LockState = 2
[2026-07-12T06:53:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-12T06:53:13] front_door_lock | DoorLock.LockState = 1
[2026-07-12T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-12T08:32:00] front_door_lock | DoorLock.LockState = 2
[2026-07-12T08:32:14] living_room_light | OnOff.OnOff = True
[2026-07-12T12:20:00] living_room_light | OnOff.OnOff = False
[2026-07-12T13:58:16] living_room_light | OnOff.OnOff = True
[2026-07-12T19:33:05] living_room_light | LevelControl.CurrentLevel = 45
[2026-07-12T20:28:00] living_room_light | OnOff.OnOff = False
[2026-07-12T20:50:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-12T20:50:14] 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": "日志显示正常的独居老人日常作息，包括夜间锁门、清晨起床活动及日间正常开关门和照明行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线，03:00-04:00 期间全屋无人员活动（Occupancy=0），符合独居老人的睡眠习惯；04:06-04:07 门锁状态从锁定 (2) 变为未锁定 (1)，随后在 04:09 打开客厅灯，这是典型的起床如厕或短暂活动的正常行为模式。",
    "推理步骤 2: 检查 06:53 的事件序列，门锁先被手动上锁再解锁，紧接着在 08:32 再次上锁并开启灯光，这完全符合老人早晨洗漱后出门买菜/散步，回家后再次出门的常规生活轨迹。",
    "推理步骤 3: 验证设备状态一致性，所有运动传感器读数与门锁操作逻辑吻合（有人时灯亮/门开，无人时灯灭/门锁闭），且没有检测到异常入侵尝试（如多次试错开锁）、长时间未响应或设备故障迹象。"
  ],
  "key_evidence": [
    "04:06-04:09 时间段内，门锁解锁后立即伴随灯光开启，符合单人起夜或晨起活动特征。",
    "06:53 至 08:32 之间的门锁操作间隔合理，且伴随正常的室内照明使用记录，排除了非法入侵或尾随风险。",
    "全时段内所有房间的运动传感器状态与预期的人类活动周期一致，无矛盾数据。"
  ],
  "recommended_actions": [
    "继续监控，当前系统运行正常。",
    "建议定期回顾此类夜间/清晨的活动日志，以建立更精准的住户行为基线模型。"
  ]
}
```


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 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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 24

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-29T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-29T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:36:35] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家模式及次日早晨手动上锁行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线，2026-07-29T02:11:00 门锁状态变为 2（通常代表解锁或开启），同时门接触传感器状态为 False（门打开）。这符合住户夜间外出离家的正常场景。",
    "推理步骤 2: 观察后续事件，玄关灯在开门后自动亮起 (02:12:00)，随后客厅运动传感器检测到有人活动 (02:13:00)，但仅持续约 2 分钟后即恢复无人状态 (02:30:00)。这表明有人短暂经过玄关区域（可能是取物或确认门锁状态），随后离开，且全屋其他房间均无人员活动，符合单人夜间活动的特征。",
    "推理步骤 3: 检查次日早晨事件 (07:36:35)，门锁执行了手动上锁操作 (LockOperationType=1, OperationSource=Manual)。这是标准的离家/归家后的安全确认流程。整个序列逻辑连贯，没有发现非法入侵、尾随或设备故障的迹象。"
  ],
  "key_evidence": [
    "02:11:00 门锁解锁与门开传感器触发同步发生",
    "02:13:00 至 02:30:00 之间仅有短暂的玄关和客厅活动，随后全屋恢复无人状态",
    "07:36:35 用户主动执行了手动上锁操作"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议保持当前的自动化规则（如开门亮灯、离家布防）以确保家庭安全。"
  ]
}
```