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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 104

## 跨天活动摘要
- 2026-08-29: balcony=3, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-08-29T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-29T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-29T16:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-29T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-29T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-29T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-29T16:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-29T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-29T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-29T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-29T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-29T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-29T16:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-29T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-29T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-29T16:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-29T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T16:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-29T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-29T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-29T17:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-29T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-29T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-29T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-29T17:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-29T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-29T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-29T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-29T17:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-29T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-29T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-29T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-29T17:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-29T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-29T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-29T17:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-29T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-29T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-29T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-29T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-29T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-29T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-29T17:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-29T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-29T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-29T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-29T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-29T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-29T17:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-29T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-29T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-29T17:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-29T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-29T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-29T17:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-29T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-29T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-29T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-29T17:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-29T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-29T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-29T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-29T17:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-29T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-29T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-29T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-29T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-29T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-29T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-29T18:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-29T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-29T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-29T18:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317

## 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常模式，日志显示为正常的家庭环境监控数据及阳台区域的常规活动。",
  "reasoning": [
    "1.  occupancy传感器状态分析：从16:30到18:10，所有主要房间（客厅、餐厅、主卧、次卧、儿童房等）的运动传感器均持续报告 Occupancy = 0。这表明在观察的时间窗口内，家中无人或人员处于静止状态且未触发运动检测，符合傍晚时段家庭成员可能分散休息或外出后的常态，并非‘abnormal_inactivity’（通常指长时间无生命体征或紧急无响应），因为这是短时间段内的静态记录。",
    "2.  温度数据分析：各房间温度传感器读数在23.1°C至24.0°C之间波动（Matter协议中TemperatureMeasurement.MeasuredValue单位为厘氏度，即2378代表23.78°C）。数值变化平缓，符合室内空调运行或自然热平衡的特征，未发现突发的火灾高温或设备故障导致的极端读数漂移。",
    "3.  阳台区域活动分析：17:20左右，阳台门传感器关闭（False，通常表示关门/闭合），阳台灯开启（True），随后洗衣机启动（OperationalState=1）。这一序列逻辑连贯：住户进入阳台 -> 关门 -> 开灯 -> 操作洗衣机。这是典型的家务行为，不存在非法入侵（intrusion）迹象，因为门锁和窗户传感器未见异常开启记录，且动作具有明确的目的性和顺序性。",
    "4.  综合判断：没有发现入侵、火灾、漏水、一氧化碳泄漏或设备故障的迹象。所有事件均在正常的生活逻辑范围内。"
  ],
  "key_evidence": [
    "所有房间OccupancySensing.Occupancy在16:30-18:10期间持续为0，表明无显著人员移动。",
    "阳台区域事件序列：Door Closed (17:20) -> Light On (17:20) -> Washer Start (17:21)，符合正常家务逻辑。",
    "温度读数稳定在23-24°C区间，无剧烈波动或危险高温。"
  ],
  "recommended_actions": [
    "无需采取紧急行动。",
    "建议继续定期查看日志以维持对家庭状态的监控。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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: 17

## 设备事件日志
[2026-08-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T10:43:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T12:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:32:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T13:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:54:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T14:02:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-22T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-22T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-22T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T14:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T14:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T14:32:01] bathroom_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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到住户在下午时段正常回家并开启玄关灯，所有设备状态符合日常行为逻辑，无安全风险。",
  "reasoning": [
    "1. 分析入户门锁与门磁传感器：在 14:05:00，`front_door_lock` 显示 `LockState = 2`（通常代表已解锁或正在解锁），同时 `front_door_contact` 显示 `StateValue = False`（表示门处于关闭状态）。这表明住户可能通过密码、指纹或钥匙正常开门进入，或者门在关闭前被短暂打开后关上。结合后续动作，这符合“回家”的行为模式。",
    "2. 分析灯光联动：在门操作后的 14:06:00，`entrance_light` 开启 (`OnOff = True`)。这是典型的智能家居自动化场景（如进门亮灯）或用户手动操作，进一步证实了有人进入该区域。",
    "3. 分析人员活动轨迹：日志显示 `living_room_occupancy` 在 14:07:00 及之后持续为 1，且 `bedroom_occupancy` 也活跃。这与住户从入口进入客厅/卧室的活动路径一致。没有发现长时间无人却开门、深夜异常入侵或设备故障（如门一直开着但灯没开）等异常迹象。"
  ],
  "key_evidence": [
    "14:05:00 front_door_lock LockState=2 (解锁)",
    "14:05:00 front_door_contact StateValue=False (门关)",
    "14:06:00 entrance_light OnOff=True (开灯)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 25

## 设备事件日志
[2026-07-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-05T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-05T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] entrance_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的入户回家行为，门锁开启、门传感器关闭（门开）、玄关灯亮起及客厅有人活动，符合常规生活逻辑。",
  "reasoning": [
    "1. 时间分析：事件发生在下午14:05左右，属于白天的正常活动时间段，非深夜或凌晨等高风险时段。",
    "2. 设备联动逻辑：14:05时，智能门锁状态变为2（通常代表解锁/已开锁），同时入户门接触传感器状态为False（在Matter标准中，BooleanState False通常表示门处于打开/分离状态，True表示关闭/闭合）。这构成了‘开门’的物理事实。",
    "3. 后续行为验证：紧随其后（14:06）玄关灯亮起，且14:07客厅 occupancy 传感器检测到有人（Occupancy=1）。这一系列动作（开门->亮灯->进入室内区域）高度符合住户回家的正常行为模式，无强行闯入或异常滞留迹象。"
  ],
  "key_evidence": [
    "14:05:00 front_door_lock | DoorLock.LockState = 2 (解锁)",
    "14:05:00 front_door_contact | BooleanState.StateValue = False (门打开)",
    "14:06:00 entrance_light | OnOff.OnOff = True (灯亮)",
    "14:07:00 living_room_occupancy | OccupancySensing.Occupancy = 1 (有人进入)"
  ],
  "recommended_actions": [
    "无需采取安全措施，系统记录正常。",
    "建议保持现有自动化规则，以维持良好的用户体验。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_light, living_room_window_contact
- 已选事件数: 76

## 跨天活动摘要
- 2026-08-21: living_room=210, bedroom=242, kitchen=239, entrance=230, bathroom=61

## 设备事件日志
[2026-08-21T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-21T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-21T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-21T08:36:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T08:36:11] living_room_light | OnOff.OnOff = True
[2026-08-21T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-21T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-21T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-21T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-21T08:56:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-21T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-21T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-21T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-21T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-21T09:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:16:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:19:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-21T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-21T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-21T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-21T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-21T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-21T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-08-21T09:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-21T09:30:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-21T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-21T09:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:36:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:39:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-21T09:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-21T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-21T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-21T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-21T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-21T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-08-21T09:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-08-21T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-21T09:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-21T09:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-21T09:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:56:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T09:59:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-21T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-21T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-21T10:00:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-08-21T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-21T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-21T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-21T10:07:00] living_room_light | OnOff.OnOff = True
[2026-08-21T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-21T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-21T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-21T10:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T10:16:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T10:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T10:19:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-21T10:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-08-21T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-21T10:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-21T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-21T10:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-21T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-21T10:30:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-21T10:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442

## 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为独居老人在上午时段的正常居家活动。",
  "reasoning": [
    "1. 活动模式分析：日志显示从08:36开始，客厅 occupancy 传感器检测到有人（值为1），随后在09:16至10:35期间，玄关、卧室、厨房等区域也陆续出现人员活动信号。这种多房间、分散的活动轨迹符合老人在家中进行晨间日常活动（如起床、洗漱、准备早餐、休息）的行为特征。",
    "2. 设备状态逻辑一致性：客厅灯在检测到有人后开启（08:36和10:07），符合自动化或手动开灯习惯。窗户传感器在10:05-10:06关闭，结合此时段室内温度稳定且无剧烈波动，推测为老人整理家务或调整环境，非异常入侵迹象。",
    "3. 排除特定风险：虽然厨房有活动，但未见烟雾报警器触发或灶具长时间无人看管后的异常高温/持续开启记录；卫生间活动短暂且规律，未见跌倒相关的长时间静止报警；门窗传感器仅在特定时间点变化，无频繁非法开启记录。整体行为连贯，无突兀的孤立事件。"
  ],
  "key_evidence": [
    "客厅 OccupancySensing.Occupancy = 1 持续存在，表明住户在家。",
    "多个房间（entrance, bedroom, kitchen）按时间顺序出现 OccupancySensing.Occupancy = 1，符合正常移动路径。",
    "living_room_light 在 occupancy 检测后开启，行为逻辑合理。",
    "无 smoke_co_alarm 触发，无 water_leak 报警，无 door_lock 异常解锁记录。"
  ],
  "recommended_actions": [
    "继续保持当前监控策略，无需干预。",
    "建议定期校准温度传感器，确保读数准确性（当前读数单位需确认是否为摄氏度*100，即25.44°C左右，属正常室温）。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_light_1, living_room_window_contact
- 已选事件数: 41

## 设备事件日志
[2026-08-04T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-04T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-04T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-04T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-04T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-04T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-04T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-04T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-04T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T09:31:32] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T09:32:31] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-04T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-04T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-04T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-08-04T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T10:01:32] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T10:02:31] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-04T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-04T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-04T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-04T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-04T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-04T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-04T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T10:31:32] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T10:32:31] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-04T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-04T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-04T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-04T10:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-04T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-04T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T11:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-04T11:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-04T11:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-04T18:09:20] living_room_light_1 | OnOff.OnOff = True
[2026-08-04T21:46:00] living_room_light_1 | OnOff.OnOff = False

## 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的设备状态记录及晚间常规照明活动。",
  "reasoning": [
    "1. 分析重点设备行为：日志中唯一涉及用户交互或显著状态改变的是 living_room_light_1（客厅主灯）。它在 18:09:20 开启，在 21:46:00 关闭。这符合典型的晚间居家照明习惯（下班回家开灯，睡前关灯），且时间间隔合理，无异常频繁开关或长时间无人却亮灯的情况。",
    "2. 检查入侵迹象：虽然任务描述中提到了 bedroom_window_contact 和 living_room_window_contact 作为重点设备，但在提供的具体事件片段中，并未出现窗户传感器从 'Closed' (True) 变为 'Open' (False) 的触发记录。相反，10:05 和 10:06 的记录显示窗户状态为 False（通常 Matter 协议中 BooleanState.StateValue=False 代表关闭/未触发，或者根据上下文推断为常态），且此时段所有 occupancy_sensor（运动传感器）均报告为 0（无人），表明房屋处于空置或安静状态，没有非法闯入导致的传感器联动。",
    "3. 评估环境数据：温度传感器读数在 25.3°C - 25.6°C 之间波动，属于正常室内环境温度范围，无火灾或极端天气导致的异常升温。所有运动传感器在白天大部分时间显示为 0，结合窗户未打开的状态，进一步证实了该时间段内无异常人员活动。"
  ],
  "key_evidence": [
    "living_room_light_1 在 18:09 开启，21:46 关闭，符合正常作息规律。",
    "日志期间未检测到任何门窗传感器被触发的‘打开’事件。",
    "所有房间的运动传感器在白天时段持续报告无人状态，与窗户关闭状态一致。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控晚间灯光关闭后的后续活动，确保无遗留安全隐患。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到客厅窗户被非法开启，且室内无人活动，存在入室盗窃风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-04T10:05:00 时，日志显示 living_room_window_contact 状态变为 False（表示窗户打开），紧接着在 10:06:00 bedroom_window_contact 也变为 False。",
    "推理步骤 2: 关键异常点在于，当窗户被打开后（10:05 - 10:30），living_room_occupancy 传感器持续报告 Occupancy = 0（无人），且 bathroom 和 bedroom 的 occupancy 传感器也均为 0。这表明住户并未在家或至少不在该区域活动。",
    "推理步骤 3: 住户通常在白天（如 10:00）会处于家中活跃状态（如使用厨房、卧室等）。在无人活动的情况下，多个窗户同时被打开，极大概率是外部入侵者所为，而非住户正常开窗通风（因为住户未出现）。随后住户于 18:09 才重新打开客厅灯回家，进一步印证了中间时段房屋处于空置且被侵入的状态。"
  ],
  "key_evidence": [
    "2026-08-04T10:05:00 living_room_window_contact 状态变为 False (Open)",
    "2026-08-04T10:05:00 至 10:30:00 期间 living_room_occupancy 持续为 0 (Empty)"
  ],
  "recommended_actions": [
    "立即通知住户家中可能有人闯入，建议其不要返回直至警方确认安全。",
    "联系当地执法部门报警，提供入侵时间窗口（约 10:05 - 18:09）。",
    "检查入户门锁及所有门窗传感器的历史状态，确认是否有其他入口被破坏。",
    "暂时禁用自动照明联动，防止入侵者利用光线判断屋内情况。"
  ]
}
```


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_light_1, living_room_window_contact
- 已选事件数: 37

## 设备事件日志
[2026-07-11T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-11T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-11T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-11T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-11T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-11T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-11T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-11T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-11T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-11T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-11T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-11T09:50:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:51:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:53:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-11T09:53:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-11T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-11T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-11T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-11T10:06:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-11T10:06:03] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:06:10] living_room_ac | OnOff.OnOff = True
[2026-07-11T10:06:10] living_room_ac | Thermostat.SystemMode = 3
[2026-07-11T10:06:13] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-11T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-11T10:11:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-11T10:20:59] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:26:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-11T10:31:00] 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的早晨起床及居家活动序列。",
  "reasoning": [
    "1. 时间与环境背景分析：日志时间为2026年7月11日上午09:00至10:30，属于典型的早晨时段。客厅温度传感器读数在25.4°C-25.6°C之间波动（Matter协议中通常单位为0.01摄氏度，即2540=25.40°C），符合夏季室内舒适温度范围，无异常高温或低温报警。",
    "2. 人员活动轨迹逻辑自洽：09:31卧室有人（Occupancy=1），随后09:50卫生间无人（Occupancy=0，可能刚离开或之前未记录进入，但结合后续动作看，更可能是用户在卧室准备后前往其他区域）。10:06客厅检测到有人（Occupancy=1）且同时触发了一系列设备联动：开灯、开空调、窗帘关闭（CurrentPositionLiftPercent100ths = 0 表示完全放下/关闭，这在早晨可能是为了遮光或隐私保护，或者是用户手动操作；若理解为打开则是100%，此处0%通常指关闭状态，但在某些实现中需结合具体场景，不过无论开关，均伴随人员在场，属正常交互）。",
    "3. 关键设备状态检查：入户门锁（entrance_door_lock）和窗户传感器在整个时间段内没有触发‘非法开启’或‘长时间未关闭’的告警事件。厨房灶具在09:53关闭，之后无持续开启记录，排除未关火风险。烟雾报警器无报警。",
    "4. 综合判断：所有设备状态变化（灯光、空调、窗帘、人体感应）均与‘用户起床并进入客厅活动’的行为模式一致，未发现入侵、火灾、漏水或设备故障迹象。"
  ],
  "key_evidence": [
    "living_room_occupancy 在 10:06 变为 1，伴随 living_room_light_1 开启和 living_room_ac 开启，符合用户回家或起床后的常规操作。",
    "kitchen_cook_surface 在 09:53 关闭，且后续无异常开启，排除烹饪安全隐患。",
    "所有门窗传感器（window_contact, door_lock）在选定日志片段中未出现异常的开启/关闭冲突或长时间未归位记录。",
    "温度读数稳定在25.4-25.6°C左右，无剧烈跳变或极端值。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持现有自动化规则运行，继续监控夜间或离家状态下的异常行为。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_contact, front_door_lock
- 已选事件数: 23

## 设备事件日志
[2026-08-18T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:36:39] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:40:00] kitchen_light | OnOff.OnOff = False
[2026-08-18T07:40:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T07:40:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:40:14] front_door_lock | DoorLock.LockState = 2
[2026-08-18T07:40:16] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:40:19] front_door_contact | BooleanState.StateValue = True
[2026-08-18T07:40:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T07:40:20] front_door_lock | DoorLock.LockState = 1
[2026-08-18T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T08:00:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-18T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-18T08:06:39] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T08:20:17] entrance_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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的早晨离家/外出行为模式，门锁操作符合用户习惯，无安全威胁。",
  "reasoning": [
    "1. 时间背景分析：事件发生在早上07:40至08:20之间，属于典型的早晨通勤或外出时间段。此时家中其他区域（客厅、卧室）的运动传感器均显示为无人状态（Occupancy=0），表明住户已离开主要生活区。",
    "2. 行为逻辑一致性：在07:40左右，玄关运动传感器触发（Occupancy=1），随后紧接着发生解锁（LockState=2）、门磁打开（Contact=False）、关门（Contact=True）和重新上锁（LockState=1）的完整序列。这符合住户出门并确认反锁的标准动作流程。",
    "3. 后续状态验证：08:02再次记录到门锁处于锁定状态（LockState=2）且门磁关闭，进一步证实了入口的安全闭合状态。整个过程中没有检测到非法入侵迹象（如未授权开锁、强行破门）或设备故障（如反复异常开关）。"
  ],
  "key_evidence": [
    "[07:40:06] entrance_occupancy = 1 (人员出现在玄关)",
    "[07:40:14-07:40:20] 完整的手动解锁->开门->关门->上锁序列",
    "[08:02:00] front_door_lock LockState = 2 (确认为锁定状态)",
    "[07:30-08:00] 全屋其他房间 occupancy 均为 0 (确认无人留守)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议保持当前的自动化规则，确保离家后自动上锁功能正常工作以增强安全感。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_contact, front_door_lock
- 已选事件数: 24

## 设备事件日志
[2026-08-17T06:58:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T06:58:03] front_door_lock | DoorLock.LockState = 2
[2026-08-17T06:58:05] front_door_contact | BooleanState.StateValue = False
[2026-08-17T06:58:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:58:11] front_door_contact | BooleanState.StateValue = True
[2026-08-17T06:58:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T06:58:12] front_door_lock | DoorLock.LockState = 1
[2026-08-17T07:18:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:31:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:32:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:38:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:51:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:58:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:02:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-17T08:10:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:11:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:18:06] entrance_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在早晨正常起床、活动并短暂出门后返回，所有设备状态变化符合正常的日常生活行为模式，未检测到安全风险。",
  "reasoning": [
    "1. 分析入户门操作序列：06:58 用户手动解锁（LockState=2）并开门（Contact=False），随后在06:58-07:00之间重新关门并上锁（Contact=True, LockState=1）。这符合老人早起后整理玄关或短暂查看户外的正常行为。",
    "2. 分析室内活动轨迹：07:18 玄关有人，随后07:30-07:32 用户在卧室、厨房、卫生间之间移动，符合老年人晨间洗漱、准备早餐或如厕的常规作息规律。",
    "3. 分析再次出门与返回：08:02 门锁再次解锁且门打开，表明用户出门；紧接着08:03 门锁上锁。虽然日志中未明确记录“进门”动作（Contact=True/LockState=2），但结合08:10-08:18 玄关运动传感器再次触发（Occupancy=1），可以合理推断用户在08:03之后不久便返回家中并停留在玄关区域。这种‘出门-返回’的时间间隔极短（约1分钟），可能是取快递、扔垃圾或确认某事，属于低风险正常行为。",
    "4. 综合判断：整个时间窗口内没有发现暴力破拆、异常长时间滞留门外、或非授权时间的入侵迹象。设备状态逻辑连贯，符合独居老人的生活节奏。"
  ],
  "key_evidence": [
    "06:58 和 08:02 的门锁解锁/开门事件与随后的上锁/关门事件形成完整的进出闭环。",
    "08:18 玄关运动传感器再次激活，佐证了用户在08:03出门后已返回屋内。",
    "室内各房间（卧室、厨房、卫生间）的运动传感器在07:30-07:32期间有连续的活动记录，证明用户处于清醒和活动状态，排除了跌倒昏迷等健康风险。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持现有监控策略，若后续出现长时间（如超过2小时）无室内活动记录，再触发健康关怀检查。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_light_1, living_room_window_contact
- 已选事件数: 36

## 设备事件日志
[2026-08-11T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-11T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-11T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-11T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-11T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-11T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-11T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-11T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-11T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-11T09:52:28] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-11T09:59:30] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-11T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-11T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-11T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-11T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-11T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-11T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-11T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-11T10:22:28] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-11T10:29:30] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-11T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-11T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-11T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-11T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-11T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-11T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T18:15:28] living_room_light_1 | OnOff.OnOff = True
[2026-08-11T21:53:00] 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的家庭环境监控数据及常规设备操作。",
  "reasoning": [
    "1.  occupancy_sensor（运动传感器）在上午09:00至11:00期间持续报告 Occupancy = 0，表明客厅在该时段无人活动。结合温度传感器读数稳定在25.36°C-25.56°C之间，符合白天家中无人的正常状态，未出现长时间静止导致的健康风险或异常静默。",
    "2.  窗户接触传感器（living_room_window_contact 和 bedroom_window_contact）在10:05和10:06分别报告 StateValue = False。在智能家居Matter协议中，对于门窗传感器，False通常代表“关闭/闭合”状态（Closed），True代表“打开/断开”状态（Open）。因此，这表示窗户是关着的，属于安全状态，而非入侵迹象。",
    "3.  灯光控制事件发生在18:15开启和21:53关闭，这是典型的晚间居家照明习惯，且与白天的无人状态有明显的时间间隔，逻辑连贯，无异常并发或冲突行为。"
  ],
  "key_evidence": [
    "living_room_occupancy 在 09:00-11:00 期间持续为 0 (无人)",
    "living_room_window_contact 和 bedroom_window_contact 在 10:05-10:06 为 False (窗户关闭)",
    "living_room_light_1 在 18:15 开启，21:53 关闭，符合日常作息"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议继续监控夜间（如22:00后）的门窗状态以确保夜间安全。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_laundry_washer, balcony_light
- 已选事件数: 15

## 设备事件日志
[2026-08-03T16:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-03T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-03T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-03T17:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:30:00] bathroom_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到阳台门关闭、灯光开启及洗衣机启动，结合运动传感器数据，符合住户在傍晚时段进行洗衣活动的正常行为模式。",
  "reasoning": [
    "1. 分析关键设备状态：17:20 阳台门传感器显示为 False（通常代表关闭/锁定），同时阳台灯开启；17:21 洗衣机进入 OperationalState 1（运行中）。这表明有人正在使用阳台的洗衣机。",
    "2. 关联人员活动轨迹：在洗衣机启动前后（17:06-17:28），玄关（entrance）和主卧（master_bedroom）的运动传感器多次触发（Occupancy=1），而客厅、次卧和卫生间无人。这符合住户从卧室或玄关区域移动至阳台进行家务活动的逻辑路径。",
    "3. 排除安全风险：阳台门处于关闭状态（False），排除了非法入侵风险；洗衣机在有人在场（通过其他房间传感器间接证实）的情况下运行，且时间为傍晚非深夜，不属于无人看管的高风险场景；无烟雾、漏水或温度异常报警。"
  ],
  "key_evidence": [
    "[2026-08-03T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-08-03T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机开始工作)",
    "[2026-08-03T17:06:03 - 17:28:00] entrance_occupancy & master_bedroom_occupancy | OccupancySensing.Occupancy = 1 (确认有住户在家并活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统记录正常。",
    "建议用户确认洗衣机运行结束后及时断电或关闭水源，以养成良好习惯。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 127

## 跨天活动摘要
- 2026-07-08: living_room=114, bedroom=66, bathroom=56, entrance=14, kitchen=8
- 2026-07-09: living_room=109, bedroom=67, bathroom=54, entrance=14, kitchen=8
- 2026-07-10: living_room=110, bedroom=68, bathroom=52, entrance=14, kitchen=9

## 设备事件日志
[2026-07-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-08T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-08T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-07-08T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-08T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-08T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-08T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-08T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-07-08T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-08T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-08T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-08T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-08T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-08T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-08T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-08T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-07-08T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-08T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-08T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-08T06:41:02] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-08T06:41:03] bedroom_light | OnOff.OnOff = True
[2026-07-08T06:43:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-08T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-08T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-08T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-08T07:08:00] bathroom_light | OnOff.OnOff = False
[2026-07-08T07:09:23] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-08T07:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-08T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-07-08T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-07-08T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2424
[2026-07-08T07:26:00] kitchen_light | OnOff.OnOff = False
[2026-07-08T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-08T07:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-07-08T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-08T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-07-08T08:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-08T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-08T19:21:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-09T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-09T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-07-09T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-07-09T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-07-09T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-09T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-09T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-09T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-09T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-09T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-09T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-07-09T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-09T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-09T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-09T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-09T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-09T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-09T06:42:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T06:42:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-09T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-09T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-09T06:50:08] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T06:51:46] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-09T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-09T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-09T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-09T07:07:00] bathroom_light | OnOff.OnOff = False
[2026-07-09T07:08:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-07-09T07:14:00] kitchen_light | OnOff.OnOff = False
[2026-07-09T07:14:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:14:20] front_door_contact | BooleanState.StateValue = False
[2026-07-09T07:14:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-09T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-09T07:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-07-09T07:21:46] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2417
[2026-07-09T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-07-09T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-07-09T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-09T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-09T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-07-09T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-09T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-09T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-09T19:08:00] kitchen_light | OnOff.OnOff = True
[2026-07-09T23:51:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-07-10T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-10T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-10T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-07-10T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-10T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-10T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-10T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-10T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-10T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-07-10T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-10T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-10T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-10T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-10T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-10T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-10T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T06:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T06:42:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，设备日志显示的行为模式符合正常住户的作息规律（早起、离家、晚间活动）。",
  "reasoning": [
    "1. **作息规律性分析**：连续三天（7月8日-10日）的活动模式高度一致。早晨6:30-6:45左右，卧室和卫生间传感器被触发，伴随灯光开启或窗帘动作，随后客厅传感器在6:40-6:50左右激活，符合典型的“起床-洗漱-准备出门”流程。",
    "2. **离家行为确认**：7月9日早晨7:14，入户门锁执行了手动开锁（LockOperationType=1），紧接着门磁传感器状态变为False（门打开），随后门锁执行上锁（LockOperationType=0）。这一序列清晰地表明住户已离开家并锁好门，属于正常的离家行为。",
    "3. **夜间活动正常**：7月8日和9日的晚间（19:00后及23:00后）有客厅 occupancy 传感器触发，且7月9日晚厨房灯亮起，符合住户在家休息或进行晚间活动的正常特征。",
    "4. **无异常入侵迹象**：所有门窗传感器仅在已知住户活动时段（如早晨出门）或无人时段保持关闭/静止状态，没有发现非授权时段的非法开启记录。门锁操作均为 Manual 来源，无远程强制解锁等可疑操作。"
  ],
  "key_evidence": [
    "7月9日 07:14: front_door_lock 执行开锁 -> front_door_contact 变 False (开门) -> front_door_lock 执行上锁，完整记录了离家过程。",
    "连续三天早晨 06:30-06:50 期间，bedroom/bathroom/living_room 的 occupancy 传感器依次触发，呈现一致的晨间活动轨迹。",
    "夜间 living_room_occupancy 在 19:21 和 23:51 触发，符合居家生活常态。"
  ],
  "recommended_actions": [
    "无需采取安全措施，系统运行正常。",
    "建议继续保持当前的自动化规则（如离家自动布防），以维持良好的安全监控习惯。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 27

## 跨天活动摘要
- 2026-07-18: entrance=51, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-07-18T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-18T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-18T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-18T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T21:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T21:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 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。

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示入户门在夜间被正常开启并随后关闭，伴随玄关灯亮起，符合住户归家或短暂外出的正常行为模式，未检测到安全威胁。",
  "reasoning": [
    "1. 分析关键设备状态序列：20:02 门锁解锁 (LockState=2)，20:03 门磁传感器显示门打开 (StateValue=False)，20:04 玄关灯开启 (OnOff=True)。这一连串动作逻辑连贯，符合有人从外部进入室内并触发灯光的常规场景。",
    "2. 结合时间背景：事件发生在晚上 20:00-20:04，属于典型的晚间归家时间段。此时其他房间（客厅、卧室等）的运动传感器均显示无人 (Occupancy=0)，说明可能只有单人进入玄关区域，或者系统仅记录了入口处的活动，这并不构成异常。",
    "3. 排除入侵特征：如果是非法入侵，通常不会伴随玄关灯的自动或手动开启（除非入侵者特意开灯，但概率较低），且门锁状态为正常的解锁而非破坏。此外，没有后续的门长时间未关或深夜反复尝试开锁的迹象。",
    "4. 综合判断：整个事件链条完整且符合生活逻辑，无证据表明存在入侵、设备故障或其他安全风险。"
  ],
  "key_evidence": [
    "2026-07-18T20:02:00 front_door_lock | DoorLock.LockState = 2 (门锁已解锁)",
    "2026-07-18T20:03:00 front_door_contact | BooleanState.StateValue = False (门处于打开状态)",
    "2026-07-18T20:04:00 entrance_light | OnOff.OnOff = True (玄关灯开启)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议用户确认该时间段是否为本人或家人正常回家/外出，若确认为误报可忽略此告警。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_contact, front_door_lock
- 已选事件数: 24

## 设备事件日志
[2026-08-17T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:10:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T07:10:02] front_door_lock | DoorLock.LockState = 2
[2026-08-17T07:10:04] front_door_contact | BooleanState.StateValue = False
[2026-08-17T07:10:04] front_door_contact | BooleanState.StateValue = True
[2026-08-17T07:10:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:10:05] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T07:10:05] front_door_lock | DoorLock.LockState = 1
[2026-08-17T07:28:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:30:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:33:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:48:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:50:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-17T08:03:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:08:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:09:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:10:05] entrance_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的居家活动模式，无安全风险。",
  "reasoning": [
    "1. 分析入户门事件：07:10 和 08:02 的日志显示门锁状态在 'Locked' (2) 和 'Unlocked' (1) 之间切换，且伴随接触传感器状态变化及玄关运动传感器激活。这符合独居老人在早晨起床、开门外出或检查门窗后重新锁门的正常行为逻辑。",
    "2. 分析人员活动轨迹：日志中厨房、卧室、客厅、卫生间的运动传感器在 07:28 至 08:10 期间频繁触发（Occupancy = 1），表明住户在该时间段内活跃于家中各个房间，进行洗漱、准备早餐等晨间常规活动。",
    "3. 综合评估：所有设备状态变化均与‘独居老人’的晨间生活规律相符，未出现长时间静止（跌倒风险）、异常入侵迹象或危险设备（如灶具、烟雾报警）触发警报的情况，因此判定为安全。"
  ],
  "key_evidence": [
    "front_door_lock 在 07:10 和 08:02 出现正常的解锁/上锁循环，且伴随 occupancy 传感器联动",
    "多个房间（kitchen, bedroom, bathroom, living_room）的运动传感器在 07:28-08:10 期间持续记录到人员活动"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "继续监控日常活动模式以建立更精准的行为基线"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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_contact, front_door_lock
- 已选事件数: 24

## 设备事件日志
[2026-07-09T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:07:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:07:03] front_door_lock | DoorLock.LockState = 2
[2026-07-09T07:07:05] front_door_contact | BooleanState.StateValue = False
[2026-07-09T07:07:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:07:12] front_door_contact | BooleanState.StateValue = True
[2026-07-09T07:07:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T07:07:13] front_door_lock | DoorLock.LockState = 1
[2026-07-09T07:27:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:31:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:31:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:47:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:51:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T08:01:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-09T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-09T08:07:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:11:10] kitchen_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的居家活动模式，无安全风险。",
  "reasoning": [
    "分析入户门事件：07:07:03 门锁手动解锁（LockState=2），随后门磁显示关闭（False），运动传感器激活（Occupancy=1），紧接着门磁打开（True）且门锁手动上锁（LockState=1）。这一序列符合住户出门后随手反锁门的正常行为逻辑。",
    "分析后续活动轨迹：08:02 再次出现门锁状态变化（先锁定后解锁/或状态更新），结合随后的玄关、卧室、厨房等区域运动传感器依次被触发（08:07-08:11），表明住户在屋内不同房间间移动，符合独居老人早晨起床后的日常活动规律。",
    "综合判断：所有设备状态变化时间紧凑且逻辑连贯，未发现非法入侵迹象（如未授权开锁）、设备故障（如传感器卡死）或异常静止情况，属于正常的家庭内部活动日志。"
  ],
  "key_evidence": [
    "07:07:03 门锁手动解锁 -> 07:07:13 门锁手动上锁，伴随门磁和人体感应器的联动，确认为一次完整的出门并反锁动作。",
    "08:07 至 08:11 期间，entrance、bedroom、kitchen 的运动传感器依次激活，显示住户在屋内正常走动。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控该住户的日常作息规律，以便在未来出现偏离基线的行为时及时预警。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}