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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 98

## 跨天活动摘要
- 2026-07-19: living_room=195, bedroom=211, bathroom=51, kitchen=14, entrance=3

## 设备事件日志
[2026-07-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-07-19T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-07-19T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-19T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-07-19T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-19T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-19T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-19T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-19T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-19T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-19T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-19T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2219
[2026-07-19T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-19T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-19T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2214
[2026-07-19T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-19T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-19T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-19T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-19T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-19T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-19T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-19T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-07-19T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-19T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-19T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2228
[2026-07-19T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-19T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2244
[2026-07-19T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-19T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-19T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2229
[2026-07-19T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-19T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-19T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-07-19T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-19T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-19T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-07-19T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-19T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-19T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-19T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-19T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-07-19T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-19T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-19T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-19T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-19T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-19T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-19T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-19T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-07-19T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-19T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-07-19T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-19T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-19T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-07-19T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-19T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-19T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2258
[2026-07-19T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-19T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-07-19T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-19T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-19T03:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-07-19T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-19T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-19T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-07-19T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-19T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-19T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-19T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-19T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-19T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-19T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-19T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-19T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-19T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-19T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-19T10:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T13:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T16:04:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T18:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T21:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-19T23:49:00] 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。"
  ]
}

{
  "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 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
- 2026-07-16: entrance=230, kids_room=233, master_bedroom=229, dining_room=218, living_room=111, master_bathroom=58

## 设备事件日志
[2026-07-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T07:04:09] kitchen_light | OnOff.OnOff = True
[2026-07-16T07:36:04] kitchen_light | OnOff.OnOff = False
[2026-07-16T07:36:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T07:36:23] front_door_lock | DoorLock.LockState = 2
[2026-07-16T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T07:36:26] front_door_lock | DoorLock.LockState = 1
[2026-07-16T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T16:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T16:08:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-16T18:19:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T18:34:00] kitchen_light | OnOff.OnOff = True
[2026-07-16T19:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T20:54:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T21:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T21:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:09:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:26:17] front_door_contact | BooleanState.StateValue = True
[2026-07-16T22:26:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-16T22:26:18] front_door_lock | DoorLock.LockState = 1
[2026-07-16T22:29:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:29:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:33:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:35:08] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T22:36:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:37:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:49:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:53:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:56:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T22:57:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-16T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-16T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-16T23:25:00] 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、厨房使用及家庭成员在客厅和儿童房的正常移动，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，2026-07-16 的 07:36 至 18:19 期间，门锁状态变化（LockState=2 锁上）与厨房灯光开启/关闭的时间点高度吻合，符合典型的早晨离家准备和傍晚回家后的日常作息。",
    "推理步骤 2: 22:26 的门接触传感器触发（True）随后立即伴随手动解锁操作（LockOperationType=0），紧接着是玄关和客厅运动传感器的激活，这表明有人正常开门进入家中，而非非法闯入（非法闯入通常不会立即触发合法的解锁序列）。",
    "推理步骤 3: 后续日志中，多个房间（客厅、儿童房、主卧、餐厅）的运动传感器在短时间内连续被触发，且人员分布合理（如先回客厅，再去儿童房，最后去主卧），这完全符合一家人晚饭后团聚并各自活动的正常行为模式，不存在尾随、长时间滞留或异常徘徊的迹象。"
  ],
  "key_evidence": [
    "22:26:17 门接触传感器触发后，系统记录到合法的手动解锁操作 (LockOperationType=0) 和门锁状态变更 (LockState=1)。",
    "22:29:03 至 22:57:04 期间，客厅、儿童房、主卧、餐厅等多个内部房间的运动传感器按逻辑顺序依次被激活，表明人员正常在室内移动。",
    "整个监控时段内，所有设备状态变化均能由合理的住户行为解释，无未授权访问特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持常规监控，关注未来是否有类似模式的偏离。"
  ]
}
```


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: kitchen_light, living_room_occupancy
- 已选事件数: 133

## 跨天活动摘要
- 2026-08-09: living_room=209, bedroom=242, kitchen=238, entrance=229, bathroom=65
- 2026-08-10: living_room=210, bedroom=241, kitchen=239, entrance=231, bathroom=60
- 2026-08-11: living_room=210, bedroom=240, kitchen=240, entrance=231, bathroom=59

## 设备事件日志
[2026-08-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-09T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-09T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-09T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-09T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-09T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-09T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-09T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2237
[2026-08-09T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-09T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-09T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-08-09T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-09T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-09T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-09T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-09T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-09T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-09T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-09T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-09T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-09T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-09T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-09T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-09T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-09T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-09T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-09T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-09T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-09T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-09T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-09T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-08-09T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2433
[2026-08-09T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-08-09T10:52:00] kitchen_light | OnOff.OnOff = True
[2026-08-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-10T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-10T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2238
[2026-08-10T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-10T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-10T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-10T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-10T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-10T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2250
[2026-08-10T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-10T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-10T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-10T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-10T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263
[2026-08-10T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-10T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-10T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-10T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-10T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-08-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-10T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-10T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-08-10T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-10T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-10T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-10T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-08-10T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-10T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-10T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-08-10T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-10T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-10T11:07:00] kitchen_light | OnOff.OnOff = True
[2026-08-10T23:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-11T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-11T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-11T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-11T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-11T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-11T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2242
[2026-08-11T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-11T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-11T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-11T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-11T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-11T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-11T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2255
[2026-08-11T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-11T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-11T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-11T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-11T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-11T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-11T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-11T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-11T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-11T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "过去三天的设备日志显示独居老人的活动模式高度一致且符合正常作息，未发现安全威胁或异常行为。",
  "reasoning": [
    "1. 活动规律性分析：三天内（8-09 至 8-11）的跨天活动摘要数据几乎完全一致（living_room ~210, bedroom ~240, kitchen ~238），表明住户的生活节奏非常稳定，没有突发性的长时间离家、深夜异常活动或设备被入侵的迹象。",
    "2. 温度与占用逻辑验证：日志中显示的室温数值（如 2313 代表 23.13°C）在夜间无人时缓慢上升，白天有人时保持稳定，这与空调运行和人体散热产生的热力学现象完全吻合，排除了传感器故障或漂移的可能。",
    "3. 关键事件时序确认：厨房灯光开启时间（约 10:52/11:07）与老人起床后的常规活动时间相符；凌晨 3:14 左右的短暂占用信号随后立即消失，符合起夜或短暂经过客厅的习惯，且未伴随其他危险信号（如烟雾报警或漏水）。"
  ],
  "key_evidence": [
    "连续三天各房间活动计数高度重复，显示极稳定的日常习惯。",
    "温度传感器读数随时间和占用状态呈现合理的物理变化趋势，无突变或死值。",
    "所有运动传感器触发后均有相应的环境响应（如温度微变），且无持续的高风险状态（如门开灯亮但无人移动）。"
  ],
  "recommended_actions": [
    "继续保持当前的监控频率，无需额外干预。",
    "建议定期检查空调滤网以确保室内空气质量，鉴于老人独居，良好的通风对健康至关重要。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 47

## 设备事件日志
[2026-07-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-10T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-10T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-10T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-10T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-10T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-10T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-10T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-10T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-10T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-10T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-10T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-10T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-10T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-10T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-10T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-10T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-10T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-10T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-10T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-10T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-10T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-10T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-10T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-10T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-10T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-10T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-10T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-10T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T19:29:24] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T20:54:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T22:19:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T23:44:07] 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": "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: 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
[2026-07-15T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-15T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-15T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-15T07:13:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T07:13:20] front_door_lock | DoorLock.LockState = 2
[2026-07-15T07:13:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-15T07:13:30] front_door_lock | DoorLock.LockState = 1
[2026-07-15T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-15T18:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-15T18:11:31] living_room_light_1 | OnOff.OnOff = True
[2026-07-15T22:08:00] living_room_light_1 | OnOff.OnOff = False

## 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活动，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）的运动传感器均报告 Occupancy = 0，且入户门锁在 04:06-04:07 处于解锁状态（LockState=1），随后在 04:09 打开客厅灯，这符合住户起床上厕所或短暂查看后返回并锁门的正常行为模式，而非入侵迹象。",
    "推理步骤 2: 早上 07:13 的日志显示入户门先被手动上锁（LockOperationType=1），紧接着在 30 秒后被手动解锁（LockOperationType=0），随后 18:11 再次出现上锁操作。这种‘上锁 - 解锁’的序列通常发生在住户出门前检查门锁或进出过程中调整门锁状态，结合后续 18:11 开门和 18:18 开灯的时间点，符合典型的离家/回家流程。",
    "推理步骤 3: 整个时间窗口内没有检测到窗户传感器异常开启、烟雾报警器触发、漏水报警或其他设备故障事件，所有动作均由 Manual 源发起，逻辑连贯且符合人类行为习惯。"
  ],
  "key_evidence": [
    "凌晨时段全屋无人员活动记录，排除夜间入侵可能。",
    "门锁操作均为手动触发，且伴随合理的上下楼/开关门时间间隔，无暴力破解或异常停留特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前监控策略，关注未来是否有非手动触发的异常开锁事件。"
  ]
}
```


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
[2026-08-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-17T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:36:22] 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: 凌晨 02:11 分，入户门锁状态变为 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）。这符合住户夜间起床如厕或短暂离开房间后开门的常规行为。",
    "推理步骤 2: 紧接着在 02:12 分玄关灯自动亮起，随后在 02:13 分客厅运动传感器检测到有人（Occupancy=1），表明住户正在屋内活动，且系统联动逻辑正常。",
    "推理步骤 3: 住户在 02:30 分离开客厅区域，所有房间 occupancy 归零，直到次日早上 07:36 分出现一次手动上锁操作（LockOperationType=1, OperationSource=Manual），这是典型的早晨出门前确认门锁安全的正常习惯。",
    "推理步骤 4: 整个时间线中，没有发现未授权进入、长时间门窗敞开、异常设备触发或传感器故障的迹象，所有事件均符合家庭日常作息规律。"
  ],
  "key_evidence": [
    "02:11 门锁开启与门传感器变化同步，且随后有室内人员活动记录。",
    "02:30 至 07:36 期间无异常入侵迹象，且 07:36 有明确的手动上锁记录。",
    "玄关灯与人感应的联动符合预设自动化场景。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持当前的监控频率，关注后续是否有偏离此模式的异常行为。"
  ]
}
```


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
[2026-08-05T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-05T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-05T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T07:14:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-05T07:14:23] front_door_lock | DoorLock.LockState = 2
[2026-08-05T07:14:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-05T07:14:30] front_door_lock | DoorLock.LockState = 1
[2026-08-05T18:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-05T18:13:00] front_door_lock | DoorLock.LockState = 2
[2026-08-05T18:13:24] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T22:02:00] living_room_light_1 | OnOff.OnOff = False

## 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开灯行为，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 05:00 期间，所有房间（包括玄关、客厅、卧室、卫生间）的运动传感器均报告 Occupancy = 0，且入户门锁在 04:06-04:09 处于解锁状态（LockState=1），随后于 07:14 被手动上锁。这符合住户夜间离家后房屋空置的正常模式。",
    "推理步骤 2: 07:14 的开门事件伴随手动上锁操作，时间点在早晨，符合住户起床出门或回家的常规作息；紧接着 18:13 再次出现开门并上锁的操作，符合傍晚回家或出门的规律。",
    "推理步骤 3: 客厅灯光在 04:09 开启（可能是误触或测试，但无人员活动记录），并在 18:13 住户回家后开启，22:02 关闭。灯光开启与人员活动（或预期活动）的时间逻辑基本吻合，未检测到入侵迹象（如有人进入但门已锁死，或有人进入但运动传感器未触发）。"
  ],
  "key_evidence": [
    "03:00-05:00 全房无人且门锁状态正常切换",
    "07:14 和 18:13 的开门/关门操作均为 Manual 来源且逻辑连贯",
    "无异常时间段内的非授权访问尝试或传感器冲突"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议定期查看完整日志以确认 04:09 的灯光开启是否为偶发误触。"
  ]
}
```


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: 28

## 设备事件日志
[2026-07-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:32:06] kitchen_light | OnOff.OnOff = False
[2026-07-30T07:32:28] front_door_lock | DoorLock.LockState = 2
[2026-07-30T07:32:31] front_door_lock | DoorLock.LockState = 1
[2026-07-30T16:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T17:50:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:20:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:30:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:42:19] front_door_contact | BooleanState.StateValue = True
[2026-07-30T22:42:20] front_door_lock | DoorLock.LockState = 1
[2026-07-30T22:45:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:45:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:47:08] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T23:00:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:01:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:03:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T23:20:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:21:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:23:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:25:00] kitchen_light | OnOff.OnOff = True
[2026-07-30T23:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:30:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:32:08] master_bedroom_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": "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，包括人员进出、室内照明开启及多房间有人状态，未发现安全威胁。",
  "reasoning": [
    "时间线分析：日志覆盖从凌晨到深夜（00:00 - 23:32），主要事件集中在傍晚至夜间，符合典型的家庭生活作息规律。",
    "门锁行为验证：入户门在 07:32 解锁（离家/开门），16:11 和 17:50 有手动上锁操作，22:42 检测到门被打开后迅速于 22:45 重新上锁，23:18 再次上锁。所有开锁/关门动作均有对应的 Occupancy（ occupancy_sensor）或 Manual 操作记录支持，无异常长时间未锁或非法闯入迹象。",
    "空间逻辑一致性：当 living_room_occupancy 变为 1（有人）时，kitchen_light 随后开启；当 entrance_occupancy 变为 1 且 front_door_contact 为 True 时，系统记录了门锁状态变化。这些设备联动符合正常居住者的行为习惯（如回家开灯、进门开门等）。",
    "无危险信号：未检测到烟雾报警、漏水、灶具异常开启或窗户在非预期时间打开等高危事件。"
  ],
  "key_evidence": [
    "front_door_lock 的 LockState 变化与 entrance_occupancy 及 Manual LockOperation 事件在时间上高度吻合。",
    "living_room_occupancy 和 kitchen_light 的状态变化呈现合理的因果时序关系（人进屋 -> 开灯）。",
    "整个时间段内没有触发任何安全传感器（如 smoke_co_alarm, water_leak_detector）的告警事件。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持对关键区域（entrance, kitchen）的实时监控，确保未来类似模式的连续性。"
  ]
}
```


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: 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: 38

## 跨天活动摘要
- 2026-07-30: entrance=17, bathroom=222, living_room=112, bedroom=73, kitchen=8

## 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
[2026-07-30T01:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-07-30T02:12:00] entrance_light | OnOff.OnOff = True
[2026-07-30T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:27:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T07:27:09] front_door_lock | DoorLock.LockState = 2
[2026-07-30T07:27:11] front_door_contact | BooleanState.StateValue = False
[2026-07-30T07:27:12] front_door_contact | BooleanState.StateValue = True
[2026-07-30T07:27:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T07:27:13] front_door_lock | DoorLock.LockState = 1
[2026-07-30T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T18:14:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T18:14:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T18:14:10] entrance_light | OnOff.OnOff = True
[2026-07-30T19:19:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:41:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:00:06] entrance_light | OnOff.OnOff = False
[2026-07-30T22:00:36] front_door_contact | BooleanState.StateValue = True
[2026-07-30T22:00:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T22:00:37] front_door_lock | DoorLock.LockState = 1
[2026-07-30T22:06:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:31:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:51:07] 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: 分析凌晨 02:11 的事件序列：门锁解锁 (LockState=2) 后紧接着门传感器变 False (开门)，随后玄关灯亮起，约 13 秒后客厅有人 (Occupancy=1)，最后门关闭并重新上锁。这一系列动作（开门->进屋->开灯->有人->关门->锁门）在时间逻辑和因果关系上完全符合住户正常回家的行为模式，且后续 02:30  occupancy 归零表明人员已离开或进入其他房间，无滞留异常。",
    "推理步骤 2: 分析白天 07:27 的事件：门锁手动操作解锁，门传感器短暂变 False 后立即恢复 True (关门)，随后门锁重新上锁。这是典型的住户出门前锁门的正常操作，且没有检测到外部人员强行闯入或长时间未关门的迹象。",
    "推理步骤 3: 分析傍晚 18:14 至夜间 22:00 的事件：门锁再次被手动解锁，门打开，玄关灯开启，随后在 19:19 和 20:41 检测到客厅有人，最后在 22:00 左右门关闭并重新上锁。整个流程与白天的进出逻辑一致，且所有门禁状态变化均有对应的传感器数据支持，不存在逻辑矛盾或设备故障导致的误报。",
    "推理步骤 4: 综合全天跨天摘要，各房间活动次数分布合理，重点关注的 entrance 区域事件均为有序的人为操作，未发现传感器卡死、漂移或恶意篡改的迹象。"
  ],
  "key_evidence": [
    "02:11-02:13 期间门锁、门磁、灯光与人体感应器的状态变化呈现完美的‘进门’因果链条。",
    "07:27 和 18:14 的门锁操作均伴随短暂的门磁 False 状态，随即恢复 True 并重新上锁，符合正常开关门逻辑。",
    "所有检测到 Occupancy=1 的时间段均发生在门开启之后，且最终都有 LockState=1 (锁定) 的记录，证明房屋始终处于受控状态。"
  ],
  "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，以应对未来可能的异常。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_light, living_room_occupancy
- 已选事件数: 98

## 跨天活动摘要
- 2026-08-25: balcony=2, entrance=230, living_room=113, bathroom=56, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-25T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-25T01:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-25T01:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-25T01:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-25T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-25T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-25T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-25T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-25T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-25T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-25T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-25T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-25T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-25T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-25T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-25T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-25T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-25T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-25T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-25T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-25T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-25T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-25T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-25T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-25T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-25T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-25T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-25T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-25T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-25T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-25T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-25T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-25T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-25T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-25T02:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-25T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-25T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-25T02:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-25T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-25T02:08:00] balcony_light | OnOff.OnOff = True
[2026-08-25T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-25T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-25T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-25T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-25T02:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-25T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-25T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-25T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-25T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-25T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-25T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-25T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-25T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-25T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-25T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-25T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-25T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-25T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-25T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-25T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-25T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-25T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-25T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-25T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-25T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-25T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-25T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-25T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-25T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-25T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-25T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-25T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T19:28:23] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T20:55:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T22:25:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T23:50:04] 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。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "检测到室内温度传感器数据严重漂移，数值异常高达 2369 (约 23.69°C 或原始单位错误)，且伴随非正常的温度波动模式，疑似传感器故障或被篡改。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，从 01:20 开始，所有房间的温度传感器（living_room, master_bedroom, second_bedroom, kitchen）同时上报数值。虽然初始值在 2300-2310 区间看似正常（假设单位为 0.1°C），但随后数值持续异常攀升。",
    "推理步骤 2: 关键异常点出现在 02:55 至 03:00 期间，厨房和次卧温度读数飙升至 2366-2369。如果单位是 0.1°C，这代表近 24°C 的高温，对于夜间无人居住（occupancy=0）的住宅来说极不自然；如果单位是整数°C，则直接表示室温超过 23°C 且仍在上升，考虑到凌晨时段通常气温下降，这种上升趋势违背物理规律。",
    "推理步骤 3: 结合 occupancy 传感器数据，在 02:00 至 03:30 期间，全屋无人员活动（Occupancy = 0）。在此情况下，温度不应出现剧烈且持续的单向升高（除非有外部热源入侵，但门窗传感器未报告开启）。更可能的情况是传感器固件 Bug、校准失效导致数值溢出/漂移，或者有人恶意修改了传感器上报的数据以掩盖真实环境状况（如火灾风险被忽略）。",
    "推理步骤 4: 阳台门在 02:07 关闭，灯光开启，随后客厅有人进入（02:09），但这发生在温度异常飙升之前。温度的异常变化与人员活动的时间线不完全匹配，进一步排除了单纯的人员行为导致的可能性，指向设备本身的问题。"
  ],
  "key_evidence": [
    "2026-08-25T02:55:00 至 03:00:00 期间，厨房和次卧温度传感器读数异常达到 2366-2369，远超正常夜间环境温度变化范围。",
    "在温度异常飙升期间（02:00-03:30），所有房间 occupancy 传感器均报告为 0（无人），缺乏解释高温升高的合理热源来源。",
    "多个不同房间的温度传感器在同一时间段内表现出高度同步的异常数值增长，增加了系统性故障或数据注入攻击的可能性。"
  ],
  "recommended_actions": [
    "立即检查并更换所有受影响的温度传感器，排除硬件故障。",
    "核实传感器固件版本，检查是否存在已知的数据上报 Bug 或配置错误。",
    "若怀疑人为篡改，需审查 Matter 协议下的设备访问日志，确认是否有未经授权的写入操作。",
    "在修复前，建议人工实地测量各房间实际温度，确保居住环境安全。"
  ]
}
```


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
[2026-07-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-27T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-27T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T19:25:07] 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。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的家庭活动模式符合正常的夜间作息和清晨起床规律，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析时间线，凌晨 02:07 阳台门传感器状态变为 False（打开），紧接着在 02:08 阳台灯开启，随后在 02:09 客厅运动传感器检测到有人（Occupancy=1）。这一序列（开门 -> 开灯 -> 进入室内）是典型的住户从阳台区域进入室内的正常行为逻辑。",
    "推理步骤 2: 检查后续状态，该人员仅在 02:09 到 02:30 之间短暂出现在客厅，之后所有房间（包括客厅、餐厅、卧室等）的运动传感器均报告无人（Occupancy=0），表明该人员已离开并完成了正常的夜间活动循环。",
    "推理步骤 3: 对比其他时间点，白天（08:30）和傍晚（19:25）的客厅有人记录也符合日常回家或起身的习惯。整个日志片段中没有任何设备处于故障状态（如门锁未响应、烟雾报警误报等），也没有出现非授权时间的长时间滞留或门窗异常开启的情况。"
  ],
  "key_evidence": [
    "02:07 阳台门打开后立即伴随灯光开启和人员进入客厅，行为连贯且合理。",
    "02:30 后所有房间运动传感器持续报告无人，确认了人员已安全离开该区域。",
    "全天其他时间段的人员活动分布符合常规家庭作息规律。"
  ],
  "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，关注未来是否有类似‘开门但未开灯’或‘深夜长时间滞留’的异常模式。"
  ]
}
```


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
[2026-07-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:07:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-26T02:08:00] balcony_light | OnOff.OnOff = True
[2026-07-26T02:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-26T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-26T23:30:00] 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": "日志显示凌晨时段住户正常起床活动并检查阳台，随后返回客厅休息，行为模式符合常规作息，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在凌晨 02:07 分阳台门传感器状态变为 False（打开），紧接着 02:08 分阳台灯开启，这表明有人主动打开了阳台门并打开了灯光，属于有意识的操作而非入侵者强行闯入。",
    "推理步骤 2: 关键证据在于 02:09 分客厅运动传感器检测到人员出现 (Occupancy = 1)。如果是不明人员从阳台潜入室内，通常不会立即触发客厅的 occupancy 变化且伴随灯光开启，更可能是住户本人起床去阳台查看或取物后回到客厅。",
    "推理步骤 3: 后续在 02:30 分所有房间（包括客厅、卧室、卫生间等）的运动传感器均报告无人 (Occupancy = 0)，且之后直到次日白天大部分时间客厅均无人员活动，这符合住户短暂起床活动后重新入睡或离开该区域的正常夜间行为模式，没有发现徘徊、重复进出或异常停留的迹象。"
  ],
  "key_evidence": [
    "阳台门打开与阳台灯开启的时间间隔极短（1 分钟），表明是同一人的连续操作。",
    "阳台门打开后 1 分钟内客厅即检测到人员存在，排除了外部入侵者潜伏的可能性。",
    "活动结束后所有区域迅速恢复无人状态，且全天其余时间无异常活动记录。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议保持当前监控策略，继续观察后续日志以确认整体行为模式的稳定性。"
  ]
}
```