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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 17

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

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 25

## 设备事件日志
[2026-07-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-05T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-05T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light, living_room_window_contact
- 已选事件数: 76

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

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

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 41

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

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 37

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

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

## 设备事件日志
[2026-08-17T06:58:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T06:58:03] front_door_lock | DoorLock.LockState = 2
[2026-08-17T06:58:05] front_door_contact | BooleanState.StateValue = False
[2026-08-17T06:58:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:58:11] front_door_contact | BooleanState.StateValue = True
[2026-08-17T06:58:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T06:58:12] front_door_lock | DoorLock.LockState = 1
[2026-08-17T07:18:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:31:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:32:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:38:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:51:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:58:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:02:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-17T08:10:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:11:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:18:06] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 36

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

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 15

## 设备事件日志
[2026-08-03T16:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-03T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-03T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-03T17:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，伴随洗衣机启动；异常样本发生在深夜且后续转入室内活动。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

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

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

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "key_evidence": [
    "触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 27

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

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

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

## 设备事件日志
[2026-08-17T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:10:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T07:10:02] front_door_lock | DoorLock.LockState = 2
[2026-08-17T07:10:04] front_door_contact | BooleanState.StateValue = False
[2026-08-17T07:10:04] front_door_contact | BooleanState.StateValue = True
[2026-08-17T07:10:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:10:05] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T07:10:05] front_door_lock | DoorLock.LockState = 1
[2026-08-17T07:28:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:30:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:33:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:48:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T07:50:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-17T08:03:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T08:08:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:09:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T08:10:05] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

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

## 设备事件日志
[2026-07-09T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:07:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:07:03] front_door_lock | DoorLock.LockState = 2
[2026-07-09T07:07:05] front_door_contact | BooleanState.StateValue = False
[2026-07-09T07:07:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:07:12] front_door_contact | BooleanState.StateValue = True
[2026-07-09T07:07:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T07:07:13] front_door_lock | DoorLock.LockState = 1
[2026-07-09T07:27:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:31:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:31:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T07:47:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T07:51:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T08:01:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-09T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-09T08:07:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T08:11:10] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 37

## 跨天活动摘要
- 2026-07-30: entrance=232, master_bedroom=233, kids_room=230, dining_room=223, living_room=110, master_bathroom=58

## 设备事件日志
[2026-07-30T07:29:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T07:29:26] front_door_contact | BooleanState.StateValue = False
[2026-07-30T07:29:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T16:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T16:25:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T18:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T18:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T18:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:20:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:23:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:23:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:26:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T19:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:37:05] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T19:40:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:41:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-30T19:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:48:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:51:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T19:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:00:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-30T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-30T20:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:08:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:11:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:25:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:28:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:36:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:43:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:45:04] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:48:00] master_bedroom_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": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "key_evidence": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 25

## 设备事件日志
[2026-08-13T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:38:02] kitchen_light | OnOff.OnOff = False
[2026-08-13T07:38:07] master_bedroom_light | OnOff.OnOff = False
[2026-08-13T07:38:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T07:38:19] front_door_lock | DoorLock.LockState = 2
[2026-08-13T07:38:21] front_door_contact | BooleanState.StateValue = False
[2026-08-13T07:38:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:38:27] front_door_contact | BooleanState.StateValue = True
[2026-08-13T07:38:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T07:38:28] front_door_lock | DoorLock.LockState = 1
[2026-08-13T07:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T07:58:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-13T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-13T08:10:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T08:18:22] entrance_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "key_evidence": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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


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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 108

## 跨天活动摘要
- 2026-08-09: entrance=51, living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-08-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T12:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-09T13:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-08-09T13:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-09T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-08-09T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-09T13:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-09T13:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-09T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-09T13:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-09T13:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-09T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-09T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-09T13:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-09T13:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-09T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-09T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-09T13:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-09T13:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-09T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-09T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-09T13:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-09T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-09T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-09T13:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-09T13:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-09T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-09T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-09T13:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-09T13:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-09T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-09T13:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-09T13:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-09T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-09T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-09T14:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-09T14:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-09T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-09T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-09T14:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-09T14:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-09T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-09T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-09T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-09T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-09T14:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-09T14:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-09T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-09T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-09T14:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-09T14:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-09T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-09T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-09T14:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-09T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-09T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-09T14:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-09T14:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-09T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-09T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-09T14:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-09T14:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-08-09T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-09T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-09T14:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-09T14:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-09T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-09T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-09T14:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-09T14:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-09T14:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-09T14:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-09T14:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-09T14:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-09T14:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-09T14:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-09T14:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2438
[2026-08-09T14:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-09T14:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-08-09T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T23:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

Chosen response:
{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "key_evidence": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

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