System:
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 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 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 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: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 49

## 跨天活动摘要
- 2026-08-13: kitchen=13, kids_room=229, master_bedroom=227, entrance=227, dining_room=221, living_room=113

## 设备事件日志
[2026-08-13T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-13T07:01:38] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-13T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-08-13T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-13T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-13T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-13T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-13T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-13T18:15:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:15:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:19:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-13T18:20:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:24:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T18:30:30] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-13T18:31:34] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T18:40:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:40:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:44:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-13T18:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:49:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-13T19:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-13T19:01:34] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T19:04:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-13T19:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:09:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:10:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:10:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-13T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-13T19:24:05] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-08-13T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-08-13T19:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:28:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-13T19:28:09] dining_room_light | OnOff.OnOff = True
[2026-08-13T19:29:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-13T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T19:31:34] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T19:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-13T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220
[2026-08-13T19:40:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:40:06] kids_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "灶具关闭后温度仍持续上升",
  "reasoning": [
    "推理步骤1: 灶具已关闭",
    "推理步骤2: 厨房温度没有回落反而继续升高",
    "推理步骤3: 升温趋势持续超过一个采样点"
  ],
  "key_evidence": [
    "灶具已关闭",
    "厨房温度没有回落反而继续升高",
    "升温趋势持续超过一个采样点"
  ],
  "recommended_actions": [
    "判为异常余热/火源风险，建议立即复查灶具与周边热源。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在灶具开启期间报告了多次超出物理可能性的异常高温读数（>300°C），随后出现数据丢失，表明传感器故障或严重漂移。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-08-13T19:25:00 和 19:35:00，厨房温度传感器报告的温度值分别为 3050 和 3220。考虑到 Matter 协议中温度通常以 0.1°C 为单位，这些数值对应 305°C 和 322°C，这远超普通家庭烹饪环境（即使爆炒）的物理极限，属于明显的传感器故障信号。",
    "推理步骤 2: 异常读数发生在 `kitchen_cook_surface` (灶具) 处于开启状态 (`OnOff.OnOff = True`) 的时间段内。虽然灶具工作会产生热量，但绝不可能导致室温瞬间飙升至 300°C 以上，这种极端数值排除了真实火灾风险的可能性，指向设备本身的问题。",
    "推理步骤 3: 在最后一次异常读数后不久 (19:29:00)，传感器返回了 `None` (无数据)，紧接着在 19:35:00 又出现了另一个异常高值。这种“乱码”、“断连”与“极端值”交替出现的模式是典型的传感器硬件故障、校准失效或通信干扰特征，而非正常的环境变化。"
  ],
  "key_evidence": [
    "[2026-08-13T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050",
    "[2026-08-13T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220",
    "[2026-08-13T19:29:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None"
  ],
  "recommended_actions": [
    "立即通知用户检查厨房温度传感器是否损坏，建议更换该传感器。",
    "提醒用户在维修前不要完全依赖该传感器的数据进行自动报警联动，需人工确认厨房实际温度以防误报或漏报。",
    "检查传感器安装位置是否受到外部热源（如靠近烤箱门缝或阳光直射）的极端干扰，尽管概率较低，仍需排除环境因素。"
  ]
}
```


System:
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: SQ5
- 重点房间: living_room
- 重点设备: bedroom_temp_sensor, kitchen_temp_sensor, living_room_temp_sensor
- 已选事件数: 74

## 跨天活动摘要
- 2026-07-14: living_room=208, bedroom=242, kitchen=238, entrance=230, bathroom=61

## 设备事件日志
[2026-07-14T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-14T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-14T04:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-14T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-14T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-14T12:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-07-14T16:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-14T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-14T16:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-07-14T16:35:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T16:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-07-14T16:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-07-14T16:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-07-14T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-14T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-14T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-14T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-14T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-14T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-14T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-14T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-14T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-14T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-14T17:19:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-07-14T17:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-14T17:25:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-07-14T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-14T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-14T17:39:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:40:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-14T17:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-07-14T17:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:41:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-14T17:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-07-14T17:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-14T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-14T17:50:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-07-14T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-14T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-14T18:02:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2840
[2026-07-14T18:04:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:04:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2810
[2026-07-14T18:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2226
[2026-07-14T18:05:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:06:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960
[2026-07-14T18:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:09:17] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T18:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2224
[2026-07-14T18:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-14T18:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-14T18:15:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2221
[2026-07-14T18:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-14T18:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-14T18:29:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2214
[2026-07-14T18:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-14T18:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-14T18:35:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-07-14T18:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-14T18:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2211
[2026-07-14T18:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-14T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-07-14T18:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2195
[2026-07-14T18:55:09] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "多个房间温度同时异常上升",
  "reasoning": [
    "推理步骤1: 客厅和卧室温度同时异常上升",
    "推理步骤2: 厨房也同步升温",
    "推理步骤3: 不是单一热源可解释的局部变化"
  ],
  "key_evidence": [
    "客厅和卧室温度同时异常上升",
    "厨房也同步升温",
    "不是单一热源可解释的局部变化"
  ],
  "recommended_actions": [
    "按全屋热异常处理，建议检查火源或电器过热。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在正常烹饪后出现严重数据漂移和归零故障，且伴随卧室传感器异常跳变，疑似设备硬件故障或通信干扰。",
  "reasoning": [
    "推理步骤 1: 分析时间线发现，2026-07-14T17:40:00 厨房灶具关闭 (Off)，随后在 T18:02:00 至 T18:06:03 期间，厨房温度传感器读数从正常的约 23°C (23xx) 突然飙升至 28.4°C、29.6°C (2840/2960 mK)，这不符合刚关火后的物理降温规律，反而显示数值异常升高。",
    "推理步骤 2: 紧接着在 T18:06:03，厨房温度传感器报告值为 None，表明传感器可能已断开连接、电池耗尽或内部电路损坏。这种‘先飙升后归零’的模式是典型的传感器失效特征。",
    "推理步骤 3: 同时观察到卧室温度传感器在同一时间段 (T18:04:00 - T18:05:00) 也出现了类似的异常跳变 (从 22°C 跳至 28.1°C 后又回落)，考虑到两个不同房间的设备在短时间内发生非物理性的同步异常，极有可能是 Matter 网络中的广播风暴、网关干扰或批量固件更新导致的通信拥塞与数据错误，而非真实的火灾风险。",
    "推理步骤 4: 结合独居老人场景，虽然存在误报风险，但传感器数据的剧烈波动和丢失属于明确的设备故障 (Sensor Malfunction)，需要立即排查以防未来漏报真实危险。"
  ],
  "key_evidence": [
    "2026-07-14T18:06:03 kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None (传感器断连)",
    "2026-07-14T18:06:00 kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960 (异常高温读数，发生在关火后)",
    "2026-07-14T18:04:00 bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2810 (多房间传感器同时出现非物理性跳变)"
  ],
  "recommended_actions": [
    "立即检查厨房和卧室的温度传感器硬件状态，确认是否松动、电池电量不足或设备损坏。",
    "重启 Matter 网关或重置相关设备的网络连接，以排除网络拥塞导致的数据包丢失或乱序问题。",
    "在修复前，建议人工定期巡检厨房区域，确保无火灾隐患，并暂时启用备用监测手段。"
  ]
}
```


System:
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 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 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 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: kitchen
- 重点设备: kitchen_smoke_alarm
- 已选事件数: 39

## 设备事件日志
[2026-08-20T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-20T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-20T07:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T07:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-20T07:47:13] master_bedroom_light | OnOff.OnOff = False
[2026-08-20T07:47:31] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T07:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-08-20T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-20T08:12:31] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T08:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-08-20T08:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-08-20T08:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T08:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-21T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-21T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-21T07:15:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-21T07:16:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-21T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T07:32:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-21T07:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-21T07:52:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-21T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-08-21T08:05:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T08:25:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T08:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T08:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-21T09:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-08-22T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-22T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2523
[2026-08-22T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-22T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-22T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3

## 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。

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房烟雾报警器连续三天在早晨固定时间触发污染/故障状态，表明设备存在硬件故障或严重误报，而非真实火灾风险。",
  "reasoning": [
    "1. 观察日志发现，厨房烟雾报警器（kitchen_smoke_alarm）在2026-08-20、2026-08-21和2026-08-22的早晨08:00左右，分别报告了 ContaminationState = 1, 2, 3。",
    "2. 根据Matter协议标准，SmokeCoAlarm.ContaminationState 通常用于指示传感器被灰尘、昆虫或其他污染物堵塞，或者传感器本身老化失效，需要清洁或更换。数值递增（1->2->3）暗示问题持续存在且可能正在恶化，或者仅仅是每日定时自检报告的累积状态。",
    "3. 排除真实火灾风险：日志中未显示温度传感器读数急剧升高（厨房温度维持在25°C左右，属正常室温），也未检测到灶具（cook_surface）异常开启后的无人看管情况（8月21日灶具在07:15关闭，之后无异常）。",
    "4. 排除入侵风险：虽然早晨有玄关运动传感器触发，但这符合住户起床出门的日常行为模式，且与烟雾报警器的故障状态无直接因果联系。",
    "5. 结论：这是一个典型的传感器维护类异常，属于设备故障（Sensor Malfunction），而非外部安全威胁，但需要用户介入处理以确保安全监测功能有效。"
  ],
  "key_evidence": [
    "[2026-08-20T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "[2026-08-21T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "[2026-08-22T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3"
  ],
  "recommended_actions": [
    "检查并清洁厨房烟雾报警器，清除可能的灰尘或异物。",
    "如果清洁后问题依旧，考虑更换烟雾报警器电池或整个设备，以确保持续的安全监控能力。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器在无人烹饪且温度异常升高的情况下，连续三天报告污染状态（ContaminationState），存在严重的火灾风险。",
  "reasoning": [
    "推理步骤 1: 分析时间线与设备状态。日志显示在 2026-08-20T08:00:00、2026-08-21T08:00:00 和 2026-08-22T08:00:00 三个时间点，厨房烟雾报警器的 ContaminationState 分别变为 1、2、3，表明污染程度持续加深。",
    "推理步骤 2: 关联环境传感器数据。在报警触发前后，厨房温度传感器读数显著升高（例如 2026-08-20 达到 2543/25.43°C，2026-08-21 达到 2543/25.43°C），且 2026-08-21 期间灶具处于关闭状态 (OnOff=False)，排除了正在进行的正常烹饪活动作为热源的可能性。",
    "推理步骤 3: 结合住户行为模式。在报警发生的时间段内，主卧、客厅等区域有人员活动记录，但厨房本身没有明确的烹饪操作日志（如灶具开启）。这种‘高温 + 烟雾报警 + 无主动烹饪’的组合强烈暗示了潜在的火灾隐患（如油锅起火后熄灭、电路过热或燃气泄漏导致的燃烧残留），而非误报。"
  ],
  "key_evidence": [
    "2026-08-20T08:00:00 至 2026-08-22T08:00:00 期间，kitchen_smoke_alarm 的 ContaminationState 从 1 递增至 3。",
    "同期 kitchen_temp_sensor 读数多次超过 25.3°C，且 2026-08-21 发生时 cook_surface 已关闭。",
    "报警发生时，周围房间有人活动，但厨房无对应的烹饪启动事件。"
  ],
  "recommended_actions": [
    "立即通知住户前往厨房检查是否存在明火、烟熏痕迹或异味。",
    "建议住户暂时撤离厨房并联系消防部门进行专业排查，以防火势复燃。",
    "检查厨房通风系统是否正常工作，并考虑更换或校准烟雾报警器。"
  ]
}
```


System:
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 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 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 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: kitchen
- 重点设备: kitchen_dishwasher
- 已选事件数: 28

## 设备事件日志
[2026-07-20T12:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-20T13:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-20T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-20T13:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T13:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:00:00] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-20T14:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:00:00] kitchen_dishwasher | OperationalState.CountdownTime = 5400
[2026-07-20T15:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-07-20T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-20T16:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-20T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-20T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-20T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-20T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-20T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-20T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-20T17:05:00] kitchen_dishwasher | OperationalState.CountdownTime = 5200

## 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "电器运行时间异常长",
  "reasoning": [
    "推理步骤1: 设备持续运行超过常规时长",
    "推理步骤2: 倒计时未按预期减少",
    "推理步骤3: 存在过热或故障风险"
  ],
  "key_evidence": [
    "设备持续运行超过常规时长",
    "倒计时未按预期减少",
    "存在过热或故障风险"
  ],
  "recommended_actions": [
    "标记为设备异常长运行，建议停机检查。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "设备运行状态正常，未发现安全威胁或异常行为。",
  "reasoning": [
    "推理步骤 1: 厨房洗碗机 (kitchen_dishwasher) 在 14:00 启动，随后 CountdownTime 从 5400 秒递减至 5200 秒，表明设备正在按预期正常运行，未出现卡死或意外停止。",
    "推理步骤 2: 厨房温度传感器 (kitchen_temp_sensor) 读数从 25°C 逐渐下降至约 23.7°C，符合洗碗机运行时消耗热量以及傍晚环境温度自然降低的物理规律，数据变化平滑且连续，无突变或漂移迹象。",
    "推理步骤 3: 卧室 occupancy 传感器的状态变化（主卧有人、次卧无人）与家庭日常作息逻辑一致，未见长时间无人却有人活动痕迹等入侵迹象，整体环境处于受控的正常生活状态。"
  ],
  "key_evidence": [
    "kitchen_dishwasher OperationalState.CountdownTime 持续递减显示设备正常工作",
    "kitchen_temp_sensor 温度随时间平稳下降，符合物理规律"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对关键设备状态的常规监控。"
  ]
}
```


System:
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 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 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 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

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

## 设备事件日志
[2026-08-13T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-13T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-13T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-08-13T07:26:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:27:20] kids_room_light | OnOff.OnOff = False
[2026-08-13T07:27:30] front_door_contact | BooleanState.StateValue = True
[2026-08-13T07:37:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-13T07:46:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-13T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-08-13T08:06:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:13:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:33:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-14T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-14T07:25:11] dining_room_light | OnOff.OnOff = True
[2026-08-14T07:26:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:26:22] front_door_lock | DoorLock.LockState = 2
[2026-08-14T07:26:33] front_door_lock | DoorLock.LockState = 1
[2026-08-14T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T07:31:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:35:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-08-14T07:46:32] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T07:56:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-08-14T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-08-14T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-14T08:11:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:16:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-14T08:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-15T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-15T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-15T07:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-08-15T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T08:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3
[2026-08-15T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-15T08:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529

## 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。

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房烟雾报警器连续三天在同一时间点（08:00）报告污染状态变化，且无伴随火灾或烹饪活动迹象，极大概率为传感器硬件故障或误报。",
  "reasoning": [
    "1. 观察日志发现，厨房烟雾报警器（kitchen_smoke_alarm）在2026-08-13、14、15三天的08:00整点分别触发了 SmokeCoAlarm.ContaminationState 的变化（分别为1, 2, 3）。",
    "2. ContaminationState 通常指示传感器内部积尘或老化导致的灵敏度异常，而非直接的火灾报警（FireState）。这种状态通常在维护或更换电池/设备时才会被重置或更新。",
    "3. 检查同一时间段内的其他关键指标：厨房温度传感器读数稳定在25°C左右（正常室温），无剧烈升温；未检测到灶具（cook_surface）开启或洗碗机运行；无烟雾报警器的 FireState 触发记录。",
    "4. 排除真实火灾风险：由于没有高温、明火或实际烟雾产生的证据，且污染状态的变化具有极高的时间规律性（每天08:00），这不符合随机发生的物理污染过程，更符合设备固件bug、定时自检误报或传感器模块损坏的特征。"
  ],
  "key_evidence": [
    "2026-08-13T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "2026-08-14T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "2026-08-15T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3",
    "同期厨房温度传感器数值稳定 (约25°C)，无火灾升温迹象",
    "同期无 cook_surface 或 dishwasher 等热源设备激活记录"
  ],
  "recommended_actions": [
    "立即检查厨房烟雾报警器的物理状态，确认是否有灰尘堆积或异物遮挡。",
    "尝试重启烟雾报警器或更换电池以清除可能的临时故障状态。",
    "如果问题持续，建议联系售后更换该烟雾报警器，因为连续的污染状态升级可能意味着传感器已失效，无法提供有效的火灾预警。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器在连续三天同一时间段（08:00）检测到持续升高的污染状态，且伴随厨房温度异常升高，极可能存在火灾隐患。",
  "reasoning": [
    "推理步骤 1: 分析时间模式，发现 2026-08-13、2026-08-14 和 2026-08-15 均在 08:00 整点出现 kitchen_smoke_alarm 的 ContaminationState 变化（分别为 1, 2, 3），这表明问题具有高度的重复性和规律性，非偶然事件。",
    "推理步骤 2: 关联温度数据，在报警发生前后（特别是 08:00 之后及前一天），kitchen_temp_sensor 读数显著高于正常室温基准（如 2551, 2539, 2548 等数值对应约 25.5°C+，且呈上升趋势），高温是火灾或燃气泄漏导致燃烧的典型前兆。",
    "推理步骤 3: 结合住户行为日志，虽然早晨有人员活动（occupancy=1），但并未看到明显的烹饪设备（cook_surface）开启记录或洗碗机运行记录，这种‘无人操作却高温报警’的模式强烈暗示设备故障、线路老化自燃或隐蔽的燃气泄漏风险，而非正常的烹饪过程。"
  ],
  "key_evidence": [
    "连续三天 (08/13, 08/14, 08/15) 在 08:00 整点触发烟雾报警器状态升级 (1 -> 2 -> 3)。",
    "报警发生时及随后，厨房温度传感器读数异常偏高并呈现上升趋势 (e.g., 2551, 2539)。",
    "缺乏对应的烹饪设备（灶具）开启日志，排除了正常烹饪产生烟雾的可能性。"
  ],
  "recommended_actions": [
    "立即通知住户前往厨房检查是否存在明火、烟雾或燃气泄漏气味。",
    "建议住户暂时关闭厨房区域电源，并联系专业人员进行烟雾报警器和电路的全面检修。",
    "若检测到烟雾或异味，立即撤离并拨打紧急电话。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: kitchen_temp_sensor, living_room_temp_sensor
- 已选事件数: 52

## 设备事件日志
[2026-08-20T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-20T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-20T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-20T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-20T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-08-20T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-20T12:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-20T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2526
[2026-08-20T16:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-20T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-20T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-20T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-20T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-20T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-20T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-20T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-20T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-20T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-20T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-20T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-20T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-20T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-20T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-20T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-20T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:30:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:34:55] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-20T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-20T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-20T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-20T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-20T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-20T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-20T17:50:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-20T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-20T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-20T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-20T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T18:02:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2840
[2026-08-20T18:04:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2810
[2026-08-20T18:04:55] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-20T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-20T18:06:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960
[2026-08-20T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310

## 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "多个房间温度同时异常上升",
  "reasoning": [
    "推理步骤1: 客厅和卧室温度同时异常上升",
    "推理步骤2: 厨房也同步升温",
    "推理步骤3: 不是单一热源可解释的局部变化"
  ],
  "key_evidence": [
    "客厅和卧室温度同时异常上升",
    "厨房也同步升温",
    "不是单一热源可解释的局部变化"
  ],
  "recommended_actions": [
    "按全屋热异常处理，建议检查火源或电器过热。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在极短时间内出现剧烈且无物理依据的数值跳变，疑似设备故障或数据异常。",
  "reasoning": [
    "推理步骤 1: 分析时间线发现，在 2026-08-20T18:00:00 时，厨房和客厅温度读数稳定在约 23°C (2323/2328 mK) 左右，符合正常室温范围。",
    "推理步骤 2: 在随后的 45 秒内（18:00:00 至 18:04:55），厨房温度传感器读数从 2323 飙升至 2960 (约 29.6°C)，随后又瞬间回落；同时客厅温度也出现了类似的剧烈波动（2840 -> 2810 -> 2333）。",
    "推理步骤 3: 结合上下文，此时家中无人（occupancy 均为 0），且没有开启大功率加热设备的记录。如此短时间的剧烈温升不符合热力学规律，排除了真实火灾或烹饪导致升温的可能性，判定为传感器硬件故障、通信干扰或固件 Bug 导致的 sensor_malfunction。",
    "推理步骤 4: 虽然数值本身未超过烟雾报警阈值，但传感器的不可靠性可能导致后续的安全误报或漏报，属于潜在的安全隐患。"
  ],
  "key_evidence": [
    "2026-08-20T18:00:00 厨房温度为 2323，18:06:00 突变为 2960，仅 6 分钟上升 6.37 度，随后迅速回落。",
    "同一时间段内，客厅温度传感器也出现了类似的非自然剧烈波动（2328 -> 2840 -> 2333）。",
    "期间所有房间 occupancy 状态均为 0，无人员活动产生热源。"
  ],
  "recommended_actions": [
    "立即检查并重启厨房及客厅的温度传感器设备，排除临时性通信故障。",
    "若重启后问题依旧，建议联系技术支持更换传感器硬件，防止因数据错误触发错误的消防警报或空调控制逻辑。",
    "在维修完成前，暂时关闭依赖该传感器数据的自动化场景（如高温自动开窗或启动空调），改为人工监控。"
  ]
}
```


System:
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 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 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 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: kitchen
- 重点设备: kitchen_dishwasher
- 已选事件数: 25

## 设备事件日志
[2026-08-14T12:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-08-14T13:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-14T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-14T13:28:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:48:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:00:00] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-14T14:08:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:28:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:48:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T15:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T15:00:00] kitchen_dishwasher | OperationalState.CountdownTime = 5400
[2026-08-14T15:08:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T15:28:18] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T15:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-08-14T15:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-14T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-14T16:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-14T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T16:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T16:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T17:05:00] kitchen_dishwasher | OperationalState.CountdownTime = 5200

## 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "电器运行时间异常长",
  "reasoning": [
    "推理步骤1: 设备持续运行超过常规时长",
    "推理步骤2: 倒计时未按预期减少",
    "推理步骤3: 存在过热或故障风险"
  ],
  "key_evidence": [
    "设备持续运行超过常规时长",
    "倒计时未按预期减少",
    "存在过热或故障风险"
  ],
  "recommended_actions": [
    "标记为设备异常长运行，建议停机检查。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭日常活动模式，包括住户进出、卧室有人以及洗碗机按计划运行，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 温度传感器数据显示厨房温度从 25.08°C 缓慢下降至 23.75°C，符合夏季午后室内自然降温或空调/通风开启后的正常物理规律，无异常升温（火灾风险）迹象。",
    "推理步骤 2: 入户门运动传感器在下午时段多次检测到人员进出（Occupancy=1），且时间点分散（13:28, 14:00, 14:48 等），符合家庭成员正常往返于玄关与其他房间的行为习惯，未见长时间无人值守的入侵窗口。",
    "推理步骤 3: 厨房洗碗机状态变化逻辑合理：14:00 开始运行 (OperationalState=1)，15:00 报告剩余时间 5400 秒（90 分钟），16:32 和 17:05 分别更新为 5200 秒，表明设备正在持续稳定工作，倒计时递减符合预期，不存在卡死或故障。"
  ],
  "key_evidence": [
    "厨房温度呈线性下降趋势，未出现急剧升高。",
    "入户门 occupancy 事件分布均匀，与卧室 occupancy 事件存在时间上的关联，表明是同一组人的活动轨迹。",
    "洗碗机 CountdownTime 数值随时间推移正确减少，证明设备运行正常。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持对关键区域（如厨房烟雾报警器、漏水传感器）的常规监控。"
  ]
}
```


System:
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 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 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 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: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 39

## 设备事件日志
[2026-07-14T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-07-14T06:35:34] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-14T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-07-14T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-14T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-14T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-14T18:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-14T18:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:29:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-14T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T18:34:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-14T18:41:00] kitchen_light | OnOff.OnOff = True
[2026-07-14T18:42:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-14T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-14T18:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-07-14T18:59:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-14T19:02:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-14T19:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-07-14T19:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-07-14T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-14T19:21:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-07-14T19:24:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-07-14T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2288
[2026-07-14T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T19:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220
[2026-07-14T19:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-07-14T19:44:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T19:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283

## 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "灶具关闭后温度仍持续上升",
  "reasoning": [
    "推理步骤1: 灶具已关闭",
    "推理步骤2: 厨房温度没有回落反而继续升高",
    "推理步骤3: 升温趋势持续超过一个采样点"
  ],
  "key_evidence": [
    "灶具已关闭",
    "厨房温度没有回落反而继续升高",
    "升温趋势持续超过一个采样点"
  ],
  "recommended_actions": [
    "判为异常余热/火源风险，建议立即复查灶具与周边热源。"
  ]
}

Rejected response:
{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "灶具已关闭"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


System:
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 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 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 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: kitchen_smoke_alarm, living_room_smoke_alarm
- 已选事件数: 39

## 设备事件日志
[2026-07-29T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-29T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-29T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-29T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-29T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-29T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-29T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-29T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-29T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-29T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-29T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-29T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-29T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-29T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-29T03:16:00] kitchen_smoke_alarm | SmokeCoAlarm.SmokeState = 1
[2026-07-29T03:16:00] living_room_smoke_alarm | SmokeCoAlarm.InterconnectSmokeAlarm = 1
[2026-07-29T03:17:00] living_room_smoke_alarm | SmokeCoAlarm.ExpressedState = 1
[2026-07-29T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-29T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-29T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-29T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-29T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-29T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-29T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384

## 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。

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器触发，且客厅烟雾报警器因互联功能同步报警，表明家中存在火灾风险。",
  "reasoning": [
    "1. 核心事件识别：日志显示在 2026-07-29T03:16:00，`kitchen_smoke_alarm` 的 `SmokeState` 变为 1（通常表示检测到烟雾或火情）。",
    "2. 联动验证：紧接着在 03:16:00 和 03:17:00，`living_room_smoke_alarm` 的 `InterconnectSmokeAlarm` 和 `ExpressedState` 均变为 1。这符合 Matter 协议中烟雾报警器互联的特性，即一个设备报警时其他联网设备也会响应，证实了报警信号的真实性而非孤立误报。",
    "3. 环境背景分析：虽然客厅温度传感器读数（如 2395/100°C 左右，假设单位为厘氏度或特定缩放）在报警前后有波动，但凌晨 3 点全屋 occupancy 均为 0，说明住户不在家。此时发生真实火灾风险极高，因为无人及时处置。",
    "4. 排除误报可能性：虽然温度数据看起来异常高（可能是传感器故障或单位换算问题），但烟雾报警是更直接的危险信号，且伴随互联报警，必须优先视为真实威胁处理。"
  ],
  "key_evidence": [
    "[2026-07-29T03:16:00] kitchen_smoke_alarm | SmokeCoAlarm.SmokeState = 1",
    "[2026-07-29T03:16:00] living_room_smoke_alarm | SmokeCoAlarm.InterconnectSmokeAlarm = 1",
    "[2026-07-29T03:17:00] living_room_smoke_alarm | SmokeCoAlarm.ExpressedState = 1",
    "All occupancy sensors report 0 at 03:00 and 03:30, indicating no one is home."
  ],
  "recommended_actions": [
    "立即通过智能家居应用查看厨房摄像头（如有）或联系物业/紧急服务确认现场情况。",
    "若确认为误报（如烹饪残留、灰尘等），需检查并清洁烟雾报警器；若为真实火情，立即启动应急疏散预案并拨打火警电话。",
    "事后检查厨房灶具及电路安全，排查起火原因。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "多个烟雾报警器互联触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按多点烟雾告警处理，建议立刻排查火情并疏散。"
  ]
}


System:
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 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 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 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: living_room
- 重点设备: kitchen_smoke_alarm, living_room_smoke_alarm
- 已选事件数: 38

## 跨天活动摘要
- 2026-08-28: living_room=115, entrance=232, kids_room=231, master_bedroom=227, dining_room=219, master_bathroom=53

## 设备事件日志
[2026-08-28T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-28T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-28T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-28T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-28T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-28T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-28T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-28T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-28T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-28T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-28T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-28T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-28T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-28T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-28T03:16:00] kitchen_smoke_alarm | SmokeCoAlarm.SmokeState = 1
[2026-08-28T03:16:00] living_room_smoke_alarm | SmokeCoAlarm.InterconnectSmokeAlarm = 1
[2026-08-28T03:17:00] living_room_smoke_alarm | SmokeCoAlarm.ExpressedState = 1
[2026-08-28T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-28T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-28T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-28T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-28T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394

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

请按以下 JSON 格式回答：

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

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

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器触发，且客厅互联烟感同步报警，表明检测到火灾或烟雾风险。",
  "reasoning": [
    "1. 核心事件识别：日志显示在 2026-08-28T03:16:00，kitchen_smoke_alarm 的 SmokeState 变为 1（通常表示检测到烟雾/火警），同时 living_room_smoke_alarm 的 InterconnectSmokeAlarm 变为 1，表明这是通过 Matter 协议互联触发的联动报警。",
    "2. 排除误报可能性：虽然凌晨 3 点处于睡眠时段，但所有房间的运动传感器（occupancy_sensor）均报告为 0（无人活动）。这排除了住户因烹饪失误或意外导致火灾后正在现场处理的情况，暗示火灾可能发生在无人察觉的初期阶段，或者传感器本身故障。",
    "3. 环境数据辅助分析：客厅温度传感器在报警前持续上升（从 23.2°C 升至 24.0°C 左右），虽然幅度不大，但在深夜无人的情况下，温度的缓慢爬升结合烟雾报警，增加了真实火情或设备过热故障的可能性。",
    "4. 结论：无论是否为误报，烟雾报警器的激活属于最高级别的安全事件，必须视为潜在的火灾风险进行响应。"
  ],
  "key_evidence": [
    "[2026-08-28T03:16:00] kitchen_smoke_alarm | SmokeCoAlarm.SmokeState = 1",
    "[2026-08-28T03:16:00] living_room_smoke_alarm | SmokeCoAlarm.InterconnectSmokeAlarm = 1",
    "[2026-08-28T03:17:00] living_room_smoke_alarm | SmokeCoAlarm.ExpressedState = 1",
    "All occupancy sensors report 0 during the alarm period (no human presence detected)"
  ],
  "recommended_actions": [
    "立即通过智能家居系统或手机 App 推送紧急通知给住户，确认是否发生火灾。",
    "如果条件允许，远程查看厨房摄像头（如有）或启动应急照明以辅助判断。",
    "若确认为误报（如传感器故障），需安排技术人员检查厨房烟雾报警器；若确认为火情，立即联系消防部门并尝试远程切断厨房电源/燃气。"
  ]
}
```

Rejected response:
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "多个烟雾报警器互联触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按多点烟雾告警处理，建议立刻排查火情并疏散。"
  ]
}


System:
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 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 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 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: kitchen
- 重点设备: kitchen_dishwasher
- 已选事件数: 25

## 设备事件日志
[2026-08-13T12:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-13T13:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-13T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-13T13:28:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T13:48:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:00:00] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-13T14:08:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:28:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:48:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:00:00] kitchen_dishwasher | OperationalState.CountdownTime = 5400
[2026-08-13T15:08:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:28:27] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T15:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2416
[2026-08-13T15:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-13T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-13T16:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-13T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T16:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T17:05:00] kitchen_dishwasher | OperationalState.CountdownTime = 5200

## 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "电器运行时间异常长",
  "reasoning": [
    "推理步骤1: 设备持续运行超过常规时长",
    "推理步骤2: 倒计时未按预期减少",
    "推理步骤3: 存在过热或故障风险"
  ],
  "key_evidence": [
    "设备持续运行超过常规时长",
    "倒计时未按预期减少",
    "存在过热或故障风险"
  ],
  "recommended_actions": [
    "标记为设备异常长运行，建议停机检查。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭日常活动模式，包括住户进出、卧室有人以及洗碗机按计划运行，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线与 occupancy 数据。日志记录的时间段为 13:28 至 17:05，期间 entrance_occupancy 和 master_bedroom_occupancy 频繁检测到有人（值为 1），且时间分布符合家庭成员在白天正常往返于玄关和主卧的规律，无长时间异常滞留或深夜入侵迹象。",
    "推理步骤 2: 分析厨房设备状态。kitchen_dishwasher 在 14:00 启动 (OperationalState=1)，并在 15:00 和 17:05 报告倒计时剩余时间 (5400s 和 5200s)，表明洗碗机正在正常运行中，未出现意外停止或故障。同时，kitchen_temp_sensor 的温度读数从 25°C 缓慢下降至 23.7°C，符合厨房无人烹饪时的自然散热趋势，无过热起火风险。",
    "推理步骤 3: 综合评估。所有事件均属于预期的家庭日常生活行为（人员移动、家电工作、环境变化），没有发现传感器卡死、门锁异常、烟雾报警触发或其他偏离正常习惯的模式。"
  ],
  "key_evidence": [
    "entrance_occupancy 和 master_bedroom_occupancy 在白天时段持续检测到人，符合居住者作息。",
    "kitchen_dishwasher 的 CountdownTime 数值随时间递减，证明设备处于正常工作循环中。",
    "kitchen_temp_sensor 温度呈平稳下降趋势，无急剧升高或异常波动。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "继续保持常规监控即可。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: kitchen_temp_sensor, living_room_temp_sensor
- 已选事件数: 54

## 设备事件日志
[2026-08-15T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-15T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2279
[2026-08-15T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-15T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-15T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-15T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-15T12:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-08-15T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2523
[2026-08-15T16:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-15T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-15T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-15T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-15T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-15T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-15T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-15T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-15T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-15T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-15T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-15T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-15T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-15T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-15T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-15T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-15T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-15T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-15T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-15T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-15T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-15T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-15T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T18:02:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2840
[2026-08-15T18:04:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2810
[2026-08-15T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-15T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-15T18:06:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960
[2026-08-15T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-15T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-15T18:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-15T18:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-15T18:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313

## 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。

Chosen response:
{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "多个房间温度同时异常上升",
  "reasoning": [
    "推理步骤1: 客厅和卧室温度同时异常上升",
    "推理步骤2: 厨房也同步升温",
    "推理步骤3: 不是单一热源可解释的局部变化"
  ],
  "key_evidence": [
    "客厅和卧室温度同时异常上升",
    "厨房也同步升温",
    "不是单一热源可解释的局部变化"
  ],
  "recommended_actions": [
    "按全屋热异常处理，建议检查火源或电器过热。"
  ]
}

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房和客厅温度传感器在傍晚时段出现严重的数据跳变和逻辑矛盾，疑似传感器故障或受到强电磁干扰，导致读数不可信。",
  "reasoning": [
    "推理步骤 1: 分析时间线发现，在 2026-08-15T17:30:00 时，全屋所有房间（包括客厅、厨房、卧室、卫生间、玄关）的运动传感器均报告无人 (Occupancy=0)，且随后几分钟内温度读数稳定在 23°C 左右（如 2335, 2324），符合夜间/休息时的正常室温特征。",
    "推理步骤 2: 在 2026-08-15T18:02:00，客厅温度传感器突然从 2335 跳变至 2840（约 28.4°C），紧接着在 18:04:00 又跳变至 2810。这种短时间内剧烈升温且无人员活动记录支持的现象极不自然。",
    "推理步骤 3: 最关键的异常发生在 2026-08-15T18:06:00，厨房温度传感器读数飙升至 2960（约 29.6°C）。考虑到此时全屋无人，且此前厨房温度一直稳定在 23°C 左右，如此高的温度在没有热源（如灶具开启日志未提及，且通常不会瞬间达到近 30°C）的情况下是不可能的。此外，18:05:00 的客厅读数曾短暂回落至 2315，随后又波动，显示出传感器数据极度不稳定，不符合物理热惯性规律。",
    "推理步骤 4: 综合判断，这些剧烈的数值跳变（从 2300 到 2900+）且伴随逻辑矛盾（无人却高温、温度瞬间升降），排除了火灾风险（因为如果是真实火灾，温度会持续上升且伴随烟雾报警，而此处是孤立的高值点），最可能的原因是传感器硬件故障、校准漂移或被恶意攻击篡改了上报数据。"
  ],
  "key_evidence": [
    "18:02:00 - 18:04:00 期间，客厅温度在无人员活动的情况下出现非物理性的剧烈跳变（2335 -> 2840 -> 2810）。",
    "18:06:00 厨房温度传感器报告 2960 (29.6°C)，而此时全屋运动传感器均显示无人，且无其他热源开启记录，该数值远超正常室温且缺乏持续性。",
    "同一时间段内，不同传感器数据表现出不一致的波动模式，违背了热力学传递的基本规律。"
  ],
  "recommended_actions": [
    "立即检查并更换厨房和客厅的温度传感器，确认是否为硬件损坏。",
    "查看系统日志中是否有针对这两个传感器的网络攻击尝试或配置变更记录，排查是否存在人为篡改。",
    "在维修前，暂时关闭依赖这些温度数据的自动化场景（如空调自动启停），改用人工监控室内实际温度。"
  ]
}
```


System:
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 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 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 living_room: 客厅主灯[dimmable_light], 客厅副灯[dimmable_light], 客厅氛围灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘1[window_covering], 客厅窗户传感器1[contact_sensor], ... 共10个设备
- 房间 master_bathroom: 主卫灯[onoff_light], 主卫运动传感器[occupancy_sensor], 主卫漏水传感器[water_leak_detector]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧床头灯[onoff_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧空调[air_conditioner], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: kitchen
- 重点设备: kitchen_smoke_alarm
- 已选事件数: 48

## 设备事件日志
[2026-08-13T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-13T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-13T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-13T07:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-08-13T07:35:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T07:35:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T07:43:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-13T07:50:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-13T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-08-13T08:03:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-08-13T08:10:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:19:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:20:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:27:51] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:30:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-14T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-14T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-14T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-14T07:27:15] kids_room_light | OnOff.OnOff = False
[2026-08-14T07:27:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:28:11] dining_room_light | OnOff.OnOff = True
[2026-08-14T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T07:37:38] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T07:44:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:53:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-14T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-08-14T08:07:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:13:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-14T08:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T08:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T09:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-15T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-15T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2526
[2026-08-15T08:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T08:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3
[2026-08-15T08:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537

## 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。

Chosen response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房烟雾报警器连续三天在固定时间（08:00）报告污染状态变化，且无实际火灾或烹饪迹象，疑似传感器硬件故障或固件Bug。",
  "reasoning": [
    "1. 观察日志发现，厨房烟雾报警器（kitchen_smoke_alarm）在2026-08-13、14、15三天的08:00整点均触发了 `SmokeCoAlarm.ContaminationState` 属性变更事件。",
    "2. 具体状态变化为：13日变为1（通常表示轻微污染/需清洁），14日变为2（通常表示严重污染/需更换电池或传感器老化），15日变为3（通常表示故障/寿命终结）。这种按天递增的状态符合传感器自我诊断或误报的逻辑。",
    "3. 排除真实威胁：在同一时间段内，厨房温度传感器读数平稳上升（从~25°C升至~25.5°C），属于正常的早晨室温回升，未出现急剧升温；同时没有检测到明火、大量烟雾触发报警或其他异常活动。",
    "4. 结论：由于缺乏伴随的物理环境异常（如高温、烟雾浓度激增），且状态变化呈现机械性的每日递增规律，判定为传感器自身故障或误报，而非真实的安全威胁。"
  ],
  "key_evidence": [
    "2026-08-13T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "2026-08-14T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "2026-08-15T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3",
    "同期厨房温度传感器读数正常 (2494-2548)，无火灾特征"
  ],
  "recommended_actions": [
    "检查烟雾报警器电池电量及安装是否松动。",
    "尝试对烟雾报警器进行复位操作或重新配网。",
    "若问题持续，联系售后更换烟雾报警器硬件。"
  ]
}
```

Rejected response:
```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器连续三天在早晨高温时段报告污染状态，且温度持续异常升高，存在严重的火灾风险。",
  "reasoning": [
    "推理步骤 1: 分析温度数据，发现厨房温度传感器读数（2507-2548）远高于正常室温（通常约 293-295 K，即 20-22°C），换算后约为 22-25°C 以上，但考虑到 Matter 协议中 TemperatureMeasurement.MeasuredValue 常以毫开尔文 (mK) 为单位，2500+ mK 对应约 22-23°C 是正常的？不对，重新校准：标准室温 25°C = 298.15 K = 298150 mK。日志中的数值 2500 左右如果是 mK，则仅为 2.5K，这不可能。如果单位是 0.1K (centiKelvin)，则 2500 = 250°C，这是极度危险的。或者更常见的情况，Matter 规范中 TemperatureMeasurement 的 unit 是 Kelvin，scale 可能是 0.01。让我们假设 2500 代表 25.00°C 是不合理的，因为后面有上升趋势到 2548。如果 2500 代表 250°C，那绝对是火灾前兆。另一种可能是单位是 0.1°C，那么 2500 = 250.0°C。无论哪种解释，结合烟雾报警器的触发，温度读数都指向极端异常或设备故障导致的误报/真实过热。鉴于烟雾报警器也触发了，最合理的推断是厨房发生了真实的过热或燃烧事件。",
    "推理步骤 2: 分析烟雾报警器日志，发现 `SmokeCoAlarm.ContaminationState` 在三天内分别于 08:00、08:00 和 08:00 被报告为 1、2、3。根据 Matter 标准，该属性值增加通常表示污染程度加剧（1=轻微，2=中等，3=严重/警报）。这表明问题不是偶发的，而是持续恶化。",
    "推理步骤 3: 结合时间模式，所有异常均发生在早晨 08:00 左右，且伴随温度读数的显著变化（从 25xx 上升到 25xx 甚至更高，若单位为 0.1K 则为数百摄氏度；若为其他单位，结合烟雾报警，仍视为异常高温）。住户在 07:35 有开门动作，随后进入厨房区域活动，但紧接着就是高温和烟雾报警，极有可能是烹饪不当导致起火或燃气泄漏引发的燃烧，而非单纯的传感器漂移。",
    "推理步骤 4: 排除误报可能性。虽然温度传感器可能存在校准问题，但连续三天在同一时间点出现‘高温 + 烟雾污染’的双重信号，且污染等级递增，强烈指向真实的物理威胁（火灾风险），而非单一传感器的随机故障。"
  ],
  "key_evidence": [
    "连续三天 (08-13, 08-14, 08-15) 在 08:00 厨房烟雾报警器报告 ContaminationState 分别为 1, 2, 3，显示污染程度持续升级。",
    "同一时间段厨房温度传感器读数异常（2500-2548），结合烟雾报警，高度疑似极端高温或燃烧迹象。",
    "事件具有明显的重复性和递进性，符合火灾发展初期的特征，而非随机噪声。"
  ],
  "recommended_actions": [
    "立即通知住户前往厨房检查是否存在明火、烟雾或燃气泄漏，并迅速撤离至安全区域。",
    "联系消防部门进行专业排查，确认是否发生真实火灾事故。",
    "检查厨房烟雾报警器和温度传感器是否需要更换或校准，并检查灶具及电器线路。"
  ]
}
```