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: 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: 80

## 跨天活动摘要
- 2026-08-29: entrance=233, bedroom=242, kitchen=238, living_room=211, bathroom=60

## 设备事件日志
[2026-08-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:01:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-29T07:01:10] front_door_lock | DoorLock.LockState = 2
[2026-08-29T07:01:12] front_door_contact | BooleanState.StateValue = False
[2026-08-29T07:01:16] front_door_contact | BooleanState.StateValue = True
[2026-08-29T07:01:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-29T07:01:17] front_door_lock | DoorLock.LockState = 1
[2026-08-29T08:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-29T08:20:00] front_door_lock | DoorLock.LockState = 2
[2026-08-29T08:20:02] front_door_contact | BooleanState.StateValue = False
[2026-08-29T09:45:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T12:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T12:25:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T12:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T12:45:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:05:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-29T13:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-29T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-29T13:15:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-29T13:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-29T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-29T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-29T13:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-29T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-29T13:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:25:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-29T13:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-29T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-29T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-29T13:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-29T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-29T13:35:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T13:35:03] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:38:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-29T13:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-29T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-29T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-29T13:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-29T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-29T13:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:45:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-29T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-29T13:53:02] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-29T13:53:11] living_room_light | OnOff.OnOff = True
[2026-08-29T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-29T13:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-29T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-29T13:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T13:58:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-29T14:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-29T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-29T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-08-29T14:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-29T14:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-29T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-29T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-29T14:05:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T14:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-29T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T14:08:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-29T14:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-29T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-29T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-29T14:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-29T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-29T14:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T14:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-29T14:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-29T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为独居老人的正常日常活动模式。",
  "reasoning": [
    "1. 门锁与入户门状态分析：07:01 记录了一次完整的‘开锁-出门-关门-反锁’流程（LockState 2->1），符合老人早晨外出的习惯。08:20 再次发生手动上锁，可能是外出归来后的操作或确认门锁状态，随后长时间无异常开门记录，表明房屋处于安全锁定状态。",
    "2. 人员活动轨迹合理性：12:25 至 13:45 期间，玄关（entrance）和客厅（living_room）的运动传感器频繁触发，且伴随卧室、厨房的活动，这符合老人在家中进行日常起居、用餐或休息的规律。没有发现深夜异常闯入或长时间静止不动（可能跌倒）的迹象。",
    "3. 环境与设备状态正常：温度传感器读数在合理范围内（约23-25°C），无剧烈波动暗示设备故障。未检测到烟雾报警、漏水或一氧化碳警报。窗帘和灯光的操作也与白天的光线变化及人的活动相吻合。"
  ],
  "key_evidence": [
    "07:01:10 - 07:01:17: 完整的出门上锁序列 (LockOperation Manual -> LockState 2 -> Contact False -> Contact True -> LockState 1)，逻辑连贯。",
    "12:25 - 13:45: 多房间运动传感器（Entrance, Living Room, Bedroom, Kitchen）交替激活，显示住户在家中进行正常的日常活动，无长时间静止风险。",
    "全天无 Fire/CO/Water Leak 报警信号，温度数据稳定。"
  ],
  "recommended_actions": [
    "无需立即干预，继续保持常规监控。",
    "建议定期校验门窗传感器和运动传感器的灵敏度，确保误报率最低化。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 85

## 跨天活动摘要
- 2026-07-30: living_room=111, bedroom=70, bathroom=54, entrance=14, kitchen=8

## 设备事件日志
[2026-07-30T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-07-30T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-30T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-07-30T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-30T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-30T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-30T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-30T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-30T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-30T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-30T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-30T09:15:53] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-30T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-30T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-30T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-30T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-30T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-30T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T09:33:29] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-30T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-30T09:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-07-30T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-30T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-30T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-30T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-30T09:45:53] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-30T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-30T09:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-30T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-30T09:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-30T09:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-30T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-30T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-30T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-30T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T10:03:29] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-30T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-07-30T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-30T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-30T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-30T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-30T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-30T10:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-30T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-30T10:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-30T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-30T10:15:53] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-30T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-30T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-30T10:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-07-30T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T10:33:29] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-30T10:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-30T10:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-30T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-30T10:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-30T10:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-30T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-30T10:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-30T10:45:53] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-30T10:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-30T10:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-30T10:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-30T10:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-30T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-30T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T11:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-30T11:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-07-30T11:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-30T11:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-07-30T11:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T11:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-30T11:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-30T11:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-30T18:22:25] living_room_light_1 | OnOff.OnOff = True
[2026-07-30T21:53:00] living_room_light_1 | OnOff.OnOff = False

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常行为，设备状态符合正常家庭作息规律。",
  "reasoning": [
    "1.  occupancy传感器持续报告为0：在2026-07-30的整个上午（08:30至11:30），客厅、卧室和卫生间的运动传感器均显示Occupancy=0。这表明该时间段内家中无人活动，符合住户外出上班或出门办事的正常场景。",
    "2.  门窗状态一致且合理：10:05和10:06分别记录了客厅和卧室窗户关闭（StateValue=False）。结合长时间无人员活动的情况，这属于正常的离家安防状态，未发现非法入侵迹象（如门锁开启或窗户被强行打开后未关闭）。",
    "3.  灯光控制逻辑正常：客厅主灯仅在18:22开启，21:53关闭。这与典型的“白天外出，傍晚回家”的生活节奏完全吻合。上午时段没有灯光操作，进一步佐证了家中无人的判断。",
    "4.  温度数据稳定：各房间温度传感器读数在正常范围内波动（约24-25°C），无剧烈跳变或传感器故障迹象，也未触发高温报警。"
  ],
  "key_evidence": [
    "living_room_occupancy, bedroom_occupancy, bathroom_occupancy 在 08:30-11:30 期间持续为 0",
    "living_room_light_1 仅在 18:22 开启，21:53 关闭，中间无异常操作",
    "living_room_window_contact 和 bedroom_window_contact 在 10:05-10:06 保持关闭状态"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议继续保持当前的自动化规则，确保离家时门窗传感器能正确反映状态。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 97

## 跨天活动摘要
- 2026-08-02: balcony=3, living_room=48, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48

## 设备事件日志
[2026-08-02T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-02T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-02T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-02T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-02T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-02T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-02T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-02T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-02T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-02T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-02T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-02T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-02T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-02T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-02T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-02T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-02T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-02T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-02T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-02T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-02T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-02T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-02T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-02T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-02T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-02T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-02T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-02T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-02T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-02T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-02T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-02T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-02T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-02T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-02T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-02T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-02T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-02T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-02T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-02T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-02T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-02T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-02T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-02T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-02T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-02T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-02T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-02T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-02T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-02T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-02T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-02T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-02T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-02T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-02T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-02T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-02T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-02T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-02T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-02T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-02T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-02T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-02T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-02T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-02T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-02T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-02T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-02T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-02T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-02T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-02T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-02T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-02T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-02T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-02T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-02T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-02T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，阳台门关闭后开启灯光并启动洗衣机属于正常的家务行为模式。",
  "reasoning": [
    "1. 分析重点设备状态：在 17:20:00，阳台门传感器显示 `BooleanState.StateValue = False`（通常表示门已关闭/锁定），紧接着阳台灯打开 (`OnOff.OnOff = True`)，并在 1 分钟后洗衣机启动 (`OperationalState.OperationalState = 1`)。",
    "2. 评估行为逻辑：用户关闭阳台门（可能是为了防风、防虫或结束晾晒）后，开启照明以便操作，随后启动洗衣机进行洗衣工作。这一系列动作符合人类日常家务的逻辑顺序，不存在强行闯入或异常入侵的迹象。",
    "3. 排除其他风险：日志中所有温度读数均在合理范围内（约 23-24°C），无烟雾、漏水或一氧化碳报警；运动传感器在大部分时间显示无人（Occupancy=0），但在关键时间点（17:20左右）虽然未直接记录阳台运动传感器数据，但结合门锁和电器操作，可推断有人在场操作，且无长时间异常静止或跌倒迹象。"
  ],
  "key_evidence": [
    "[2026-08-02T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-08-02T17:20:00] balcony_light | OnOff.OnOff = True (灯光开启)",
    "[2026-08-02T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，当前行为属于正常生活场景。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 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: SQ2
- 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: 28

## 设备事件日志
[2026-08-11T08:36:12] living_room_light | OnOff.OnOff = True
[2026-08-11T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-11T08:56:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-11T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-11T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-11T09:16:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-11T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-11T09:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:33:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-11T09:36:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:39:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-11T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-11T09:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:53:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T09:56:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-11T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[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 | OnOff.OnOff = True
[2026-08-11T10:09:02] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为独居老人在上午时段的正常居家活动及环境调节行为。",
  "reasoning": [
    "1. 时间与环境背景分析：日志时间为2026年8月11日上午08:36至10:10，属于典型的早晨活跃时段。客厅温度传感器读数在25.3°C-25.5°C之间（Matter协议中通常单位为0.01摄氏度，即2543=25.43°C），处于舒适区间，无需紧急干预。",
    "2. 人员活动轨迹合理性：运动传感器（Occupancy Sensor）在客厅、玄关、卧室、厨房等多个房间频繁触发（如09:31玄关、09:33卧室/厨房、09:51玄关等）。这种多房间的短时活动符合老人起床后洗漱、准备早餐或简单活动的日常习惯，不存在长时间静止导致的跌倒风险或异常静默。",
    "3. 设备状态逻辑自洽：08:36和10:07客厅灯开启，与早晨光线变化及人员活动匹配。10:05-10:06窗户接触传感器显示关闭（False），结合此时段室内温度稳定且无空调剧烈运行记录，表明门窗处于正常闭合状态，排除了非法入侵或极端天气导致的意外开启风险。"
  ],
  "key_evidence": [
    "08:36-10:10期间，多个房间（living_room, entrance, bedroom, kitchen）的运动传感器多次触发，显示住户处于正常活动状态。",
    "客厅温度维持在25.4°C左右，处于人体舒适区，无过热或过冷报警。",
    "窗户传感器在10:05显示关闭，且无伴随的入侵警报或门锁异常操作。"
  ],
  "recommended_actions": [
    "继续保持当前监控策略，无需采取紧急措施。",
    "建议定期校准温度传感器以确保读数长期准确性，尽管当前数据看起来正常。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到独居老人家中多房间（玄关、厨房、卧室）在短时间内出现异常高频的跨房间移动轨迹，且伴随窗户被打开及灯光反复开关，疑似有人非法闯入或尾随进入。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 09:31 至 09:56 期间，入户门玄关 (entrance)、厨房 (kitchen) 和卧室 (bedroom) 的运动传感器在极短时间内（约 25 分钟内）连续多次触发 Occupancy=1。对于独居老人而言，这种快速穿梭于不同私密区域的行为模式不符合正常生活作息，高度疑似入侵者正在探索房屋内部。",
    "推理步骤 2: 关键证据在于 10:05 分客厅窗户 (living_room_window_contact) 和卧室窗户 (bedroom_window_contact) 的状态变为 False（即打开状态）。结合之前的多房间活动，这表明入侵者可能通过窗户进出，或者在室内活动时打开了窗户通风/逃离，这是典型的入侵行为特征。",
    "推理步骤 3: 虽然 10:07 分客厅灯再次开启，但这可能是入侵者为了照明或试图制造‘有人在家’的假象，或者是系统误报，但鉴于之前已经确认了窗户打开和多房间异常活动，不能简单视为正常操作。整体事件链构成了完整的入侵嫌疑。"
  ],
  "key_evidence": [
    "09:31-09:56 期间 entrance, kitchen, bedroom 运动传感器频繁触发，显示非正常的快速跨房间移动。",
    "10:05:00 living_room_window_contact 和 bedroom_window_contact 状态变为 False（窗户打开），与之前的室内活动形成关联。"
  ],
  "recommended_actions": [
    "立即向当地警方或安保服务发送警报通知。",
    "远程锁定所有智能门锁（如果尚未锁定），防止入侵者继续行动或逃离后无法阻止他人进入。",
    "联系独居老人的紧急联系人，告知其位置异常并询问情况。",
    "检查监控录像（如有）以确认入侵者身份和具体路径。"
  ]
}
```


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: 24

## 设备事件日志
[2026-08-18T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:47:10] kitchen_light | OnOff.OnOff = False
[2026-08-18T07:47:20] master_bedroom_light | OnOff.OnOff = False
[2026-08-18T07:47:39] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:47:39] front_door_lock | DoorLock.LockState = 2
[2026-08-18T07:47:41] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:47:42] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T07:47:46] front_door_contact | BooleanState.StateValue = True
[2026-08-18T07:47:47] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T07:47:47] front_door_lock | DoorLock.LockState = 1
[2026-08-18T07:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[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
[2026-08-18T08:07:42] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T08:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的早晨离家/外出行为模式，门锁操作与人员移动轨迹一致，无安全威胁。",
  "reasoning": [
    "1. 时间背景分析：事件发生在早上07:47至08:08之间，属于典型的早晨通勤或外出时间段。",
    "2. 行为序列逻辑：用户在07:47:39手动解锁大门（LockState=2），随后在07:47:41门磁传感器显示门打开（StateValue=False），紧接着在07:47:47用户重新锁门（LockState=1）且门磁显示关闭（StateValue=True）。这符合‘开门-离开-关门-上锁’的标准离家流程。",
    "3.  occupancy 关联验证：在门锁操作期间（07:47:42），玄关运动传感器检测到有人（Occupancy=1），而在随后的08:07再次检测到玄关有人（可能是返回取物或短暂停留，或者传感器延迟更新，但结合后续主卧有人活动，整体处于活跃状态）。更重要的是，08:02和08:03的日志显示门锁状态再次变为锁定（LockState=2/1）且门关闭，这可能是系统自动重锁或用户确认上锁的状态同步，并未出现未授权进入的迹象。",
    "4. 排除异常：没有发现暴力破解、多次失败尝试、深夜非法入侵或长时间无人却频繁开关门等异常模式。所有动作均由 Manual 来源触发，符合住户自主行为特征。"
  ],
  "key_evidence": [
    "07:47:39 front_door_lock Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 手动解锁",
    "07:47:41 front_door_contact BooleanState.StateValue = False - 门被打开",
    "07:47:47 front_door_lock Event: LockOperation(LockOperationType=0, OperationSource=Manual) - 手动上锁",
    "07:47:46 front_door_contact BooleanState.StateValue = True - 门已关闭并锁定"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，当前行为属于正常生活轨迹。",
    "建议保持现有自动化规则，如离家自动布防。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 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: 13

## 设备事件日志
[2026-08-29T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-29T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-29T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-29T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到阳台门开启、灯光亮起及洗衣机启动，结合全屋无人员活动状态，判断为住户在阳台进行正常洗衣活动，未构成安全风险。",
  "reasoning": [
    "1. 分析设备联动逻辑：日志显示阳台门传感器状态变为 False（通常代表门被打开），紧接着阳台灯开启，随后洗衣机进入运行状态（OperationalState = 1）。这种‘开门-开灯-启动电器’的序列符合人类在阳台使用洗衣机的典型行为模式。",
    "2. 评估时间与环境因素：时间为 17:20，属于傍晚时段，光线可能不足，因此开灯是合理的照明需求；此时启动洗衣机也是常见的家务安排。",
    "3. 排除入侵或异常风险：虽然其他房间（客厅、卧室等）的运动传感器均显示无人（Occupancy = 0），但这并不一定意味着家中无人，住户可能正专注于阳台区域的活动而未触发其他区域的传感器，或者住户处于静止状态。鉴于阳台内部有明确的‘人’的行为证据（开灯、用洗衣机），且没有伴随门锁异常开启或其他危险信号（如烟雾、漏水），因此判定为正常行为而非入侵或故障。"
  ],
  "key_evidence": [
    "balcony_door_contact 状态变为 False (门开)",
    "balcony_light 状态变为 True (灯亮)",
    "balcony_laundry_washer 状态变为 1 (运行中)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统保持监控即可。",
    "若用户希望减少此类误报干扰，可配置自动化规则：当阳台门打开且洗衣机启动时，忽略该时间段内的其他区域空闲警报。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-07-30T07:27:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:32:00] kitchen_light | OnOff.OnOff = False
[2026-07-30T07:32:04] bedroom_light | OnOff.OnOff = False
[2026-07-30T07:32:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T07:32:15] front_door_lock | DoorLock.LockState = 2
[2026-07-30T07:32:17] front_door_contact | BooleanState.StateValue = False
[2026-07-30T07:32:24] front_door_contact | BooleanState.StateValue = True
[2026-07-30T07:32:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T07:32:25] front_door_lock | DoorLock.LockState = 1
[2026-07-30T07:39:17] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:57:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-30T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-30T08:09:17] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T08:27:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T18:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-30T18:29:00] front_door_lock | DoorLock.LockState = 2
[2026-07-30T18:29:02] front_door_contact | BooleanState.StateValue = False
[2026-07-30T22:04:44] front_door_contact | BooleanState.StateValue = True
[2026-07-30T22:04:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-30T22:04:45] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的是正常的居家作息行为，包括早晨出门锁门、晚上回家开门并反锁，未发现入侵或设备故障迹象。",
  "reasoning": [
    "分析早晨事件 (07:32 - 08:03)：用户在 07:32 手动解锁大门（LockState=1），随后在 07:32:24 检测到门打开（Contact=True），并在 07:32:25 重新上锁（LockState=2）。这符合用户起床后出门上班或外出的典型行为模式。随后的 08:02-08:03 再次记录到门锁状态变化，可能是智能锁的自动重锁功能或用户确认锁门，属于正常范围。",
    "分析晚间事件 (18:29 - 22:04)：18:29 用户手动解锁并离开（或进入室内但立即反锁，结合上下文更倾向于外出后的短暂返回或系统状态同步，但关键在于后续动作）。22:04 门被打开（Contact=True），紧接着用户手动上锁（LockOperation Type=0, LockState=1）。这是典型的夜间回家进门并反锁的安全操作。",
    "综合判断：所有关键事件（开锁、关门、关锁）均发生在合理的时间段（早晨和深夜），且操作顺序逻辑连贯（先开/后关，或先关/后开），没有发现暴力破解、多次失败尝试、非授权时间段的异常开启或传感器持续异常等威胁特征。"
  ],
  "key_evidence": [
    "07:32:15 手动解锁 -> 07:32:24 门开 -> 07:32:25 手动上锁，符合早晨出门流程。",
    "22:04:44 门开 -> 22:04:45 手动上锁，符合夜间回家流程。",
    "无非法入侵迹象，如未授权时间的强行开锁或长时间门未关闭。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议定期检查智能电池电量以确保日志上报正常。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 122

## 跨天活动摘要
- 2026-08-15: living_room=210, bedroom=240, kitchen=238, entrance=232, bathroom=61
- 2026-08-16: living_room=211, bedroom=241, kitchen=239, entrance=231, bathroom=62
- 2026-08-17: living_room=210, bedroom=243, kitchen=240, entrance=231, bathroom=62

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-15T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-15T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-08-15T05:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-15T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-15T05:51:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-15T05:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-15T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-15T06:06:00] bathroom_light | OnOff.OnOff = False
[2026-08-15T06:06:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:07:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-15T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-15T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-15T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-08-15T06:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-15T06:31:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-15T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:37:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-15T06:41:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-15T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-08-15T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-15T06:51:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:51:09] front_door_contact | BooleanState.StateValue = False
[2026-08-15T06:51:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-15T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-15T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:03:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-15T07:07:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-15T07:11:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-15T07:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-15T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-08-15T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-15T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-15T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-15T15:26:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-16T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-08-16T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-08-16T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-16T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-16T06:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:02:00] bathroom_light | OnOff.OnOff = False
[2026-08-16T06:02:34] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-16T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-16T06:05:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-16T06:12:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-16T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-16T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-16T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-16T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:34:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-16T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-16T06:37:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-16T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-08-16T06:45:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-16T06:51:00] kitchen_light | OnOff.OnOff = False
[2026-08-16T06:51:04] front_door_contact | BooleanState.StateValue = False
[2026-08-16T06:51:06] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-16T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-16T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-16T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:02:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-08-16T07:06:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-08-16T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-08-16T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-16T07:26:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2427
[2026-08-16T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:33:07] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-16T07:37:04] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-16T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-16T08:26:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T15:16:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-17T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-08-17T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-17T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-17T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-17T05:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T05:57:09] kitchen_light | OnOff.OnOff = True
[2026-08-17T05:58:09] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-17T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-17T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-17T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-17T06:12:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-17T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-17T06:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-17T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-17T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-17T06:38:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-17T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-17T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:42:00] kitchen_light | OnOff.OnOff = True
[2026-08-17T06:46:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常行为，设备日志显示独居老人的日常作息规律且符合预期。",
  "reasoning": [
    "1. **作息模式一致性分析**：对比2026-08-15至08-17的跨天活动摘要，各房间的活动计数（如living_room约210次，bedroom约240次）保持高度稳定。这表明住户的生活节奏（起床、活动、休息）在三天内没有发生剧烈波动或中断，排除了突发疾病导致长期静止（abnormal_inactivity）或失踪的风险。",
    "2. **烹饪行为安全性验证**：日志中多次出现厨房灶具（kitchen_cook_surface）开启后短时间内关闭的记录（例如08-16 06:02开启，06:34关闭；08-17有类似早晨活动）。结合厨房运动传感器（kitchen_occupancy）在灶具开启期间持续为1的状态，以及随后出现的灯光关闭和人员离开客厅/卧室的迹象，符合正常的早餐准备流程。未发现灶具长时间无人看管（unattended_cooking）的情况，因为每次开启都有对应的人员活动轨迹支持。",
    "3. **门锁与出入安全**：入户门传感器（front_door_contact）和门锁事件仅在早晨特定时间窗口（如06:51左右）出现“False”状态及手动上锁操作，这与老人起床后检查门窗或短暂外出买菜的常规行为一致。全天无其他非正常时间的开门记录，排除了入侵（intrusion）风险。",
    "4. **环境数据合理性**：温度传感器读数随时间缓慢变化，符合昼夜温差规律，无传感器故障（sensor_malfunction）迹象。烟雾报警器无触发记录，排除火灾风险。"
  ],
  "key_evidence": [
    "连续三天各房间活动计数高度稳定（Living Room: ~210, Bedroom: ~240），表明生活规律正常。",
    "厨房灶具使用均有对应的厨房 occupancy 存在记录，且持续时间合理（约30分钟），符合正常烹饪习惯。",
    "入户门仅在早晨固定时段有开关锁记录，无夜间或非正常时段的异常闯入痕迹。"
  ],
  "recommended_actions": [
    "继续保持当前的监控策略，无需紧急干预。",
    "建议定期（如每周）查看一次活动摘要，以确保持续的模式稳定性。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "unattended_cooking",
  "threat_description": "检测到厨房灶具在无人值守状态下开启，且伴随温度异常升高，存在严重的火灾隐患。",
  "reasoning": [
    "推理步骤 1: 分析 2026-08-16T06:02:34 的事件日志，发现 kitchen_cook_surface (厨房灶具) 被手动开启 (OnOff=True)。",
    "推理步骤 2: 检查同一时间窗口的 occupancy_sensor 状态。在灶具开启后不久 (06:12:04)，kitchen_occupancy 显示有人，但在 06:34:00 灶具关闭前，虽然传感器有波动，但结合独居老人背景，需警惕操作失误或中途离开。更关键的是对比其他天：2026-08-15 和 2026-08-17 的日志中未出现灶具开启记录，而 08-16 出现了明确的开启事件。",
    "推理步骤 3: 重点分析温度数据。在 08-16 期间，living_room_temp_sensor 的温度从清晨的 24.5°C 迅速攀升至上午 08:00 的 25.34°C (2534 mK)，并在随后几天持续高位运行。这种升温幅度远超正常人体活动产生的热量，且发生在灶具开启的时间段内，强烈暗示灶具可能处于未关火或燃烧不充分的状态，导致室内温度异常累积。对于独居老人而言，忘记关火是最高风险场景之一。",
    "推理步骤 4: 综合判断。虽然 08-16 有人员进入厨房的记录，但考虑到老人独居，若发生“开火后离开”的情况，现有的烟雾报警器 (smoke_co_alarm) 在日志中并未触发报警事件（通常会有 Event 报告），或者系统未能及时联动切断电源。这种‘人走火未灭’或‘长时间高温烹饪’的模式构成了 unattended_cooking 威胁。"
  ],
  "key_evidence": [
    "2026-08-16T06:02:34 kitchen_cook_surface 状态变为 True (开启)",
    "2026-08-16T08:00:00 living_room_temp_sensor 读数达到 2534 (约 25.34°C)，相比平时显著偏高",
    "2026-08-15 及 2026-08-17 无类似灶具开启记录，排除了设备故障导致的常开可能性"
  ],
  "recommended_actions": [
    "立即远程通知住户或紧急联系人，确认家中安全状况。",
    "建议检查并升级厨房区域的智能插座或断路器，配置为检测到异常高温或长时间通电自动断电。",
    "联系住户家属，提醒老人注意用火安全，必要时安装带有语音提醒功能的燃气/灶具报警器。"
  ]
}
```


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
[2026-08-21T06:57:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-21T06:57:05] front_door_lock | DoorLock.LockState = 2
[2026-08-21T06:57:07] front_door_contact | BooleanState.StateValue = False
[2026-08-21T06:57:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T06:57:09] front_door_contact | BooleanState.StateValue = True
[2026-08-21T06:57:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-21T06:57:10] front_door_lock | DoorLock.LockState = 1
[2026-08-21T07:17:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:27:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:28:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T07:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:37:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:47:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:51:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:57:08] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T07:58:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-21T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-21T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-21T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-21T08:07:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T08:11:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-21T08:17:08] entrance_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的居家活动模式，包括早晨起床、如厕、厨房活动及短暂外出后返回并锁门，未发现安全威胁。",
  "reasoning": [
    "1. 分析早晨起床序列：06:57 门锁手动解锁（LockState=2）且门磁关闭（False），随后玄关有人体感应（Occupancy=1），紧接着门磁闭合（True）且门锁手动上锁（LockState=1）。这符合独居老人在家中正常移动或整理玄关的行为，而非外人入侵（因为随后立即上锁且无持续异常闯入迹象）。",
    "2. 分析日常活动轨迹：07:17 至 08:17 期间，人体传感器在玄关、厨房、卧室之间频繁切换，符合老人早起洗漱、准备早餐或进行晨间活动的正常行为逻辑。",
    "3. 分析08:02的异常点：08:02 门锁显示解锁状态（LockState=2）且门磁关闭（False），但仅1分钟后（08:03）即恢复锁定（LockState=1）且门磁闭合。结合后续08:07厨房有人、08:11卧室有人，这表明老人可能短暂离开家门（如扔垃圾、取快递）后立即返回并重新锁门。由于返回后室内活动迅速恢复正常，且没有长时间无人响应或非法入侵后的滞留迹象，判定为正常行为。"
  ],
  "key_evidence": [
    "06:57-06:57: 门锁手动解锁->开门->关门->手动上锁，符合内部活动特征。",
    "08:02-08:03: 门锁短暂解锁后迅速重新上锁，且随后室内各区域人体感应活跃，排除长期离家或入侵风险。",
    "全天活动轨迹连贯：玄关->厨房->卧室->卫生间，符合独居老人晨间常规作息。"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议保持现有监控配置，若此类‘短暂出门’频率增加，可考虑设置自动化场景以确认老人安全状态。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 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: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 21

## 跨天活动摘要
- 2026-07-05: entrance=54, living_room=192, bathroom=52, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-07-05T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T19:25:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T19:55:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T19:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-05T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-05T20:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T20:25:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T20:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的晚间居家活动，入户门相关操作符合住户回家或检查门锁的常规行为模式，未检测到入侵或设备故障迹象。",
  "reasoning": [
    "1. 分析入户门事件序列：在 20:02 门锁状态变为 '2' (通常代表已锁定)，紧接着 20:03 门磁传感器显示 'False' (通常代表门关闭/闭合)。这一顺序（先锁后关）符合住户从外部进入室内并反锁，或者住户在室内确认门锁好并关门的标准逻辑。",
    "2. 结合环境光照判断：20:04 玄关灯亮起，这通常是住户进门后的自然反应，进一步佐证了有人处于入口区域且行为正常。",
    "3. 排除异常模式：虽然系统标记了潜在异常，但日志中缺乏典型的入侵特征（如深夜非法开锁、门长时间未关、运动传感器与门锁状态冲突等）。其他房间的运动传感器数据显示客厅有人活动，卧室无人，符合晚间休息前的家庭常态。"
  ],
  "key_evidence": [
    "20:02 front_door_lock LockState = 2 (已锁定)",
    "20:03 front_door_contact StateValue = False (门已关闭)",
    "20:04 entrance_light OnOff = True (灯光开启，伴随人员活动)"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议用户确认该时间段是否为本人操作，若确认为本人则可将此事件标记为误报以优化后续算法。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 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: 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: 89

## 跨天活动摘要
- 2026-07-05: entrance=6, bedroom=205, living_room=195, bathroom=54, kitchen=14

## 设备事件日志
[2026-07-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T10:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T12:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T12:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T13:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-05T13:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-05T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-07-05T13:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-05T13:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-05T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-05T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-05T13:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2403
[2026-07-05T13:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-05T13:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-05T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-07-05T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-05T13:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-05T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-05T13:37:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T13:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-05T13:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-05T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-07-05T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-07-05T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-05T13:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-07-05T13:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-05T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-05T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-05T13:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-05T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-07-05T13:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-05T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-05T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-07-05T14:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-05T14:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[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
[2026-07-05T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:07:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-05T14:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-05T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-07-05T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-05T14:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-05T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-07-05T14:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-05T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-07-05T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-07-05T14:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-05T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-05T14:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-07-05T14:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-05T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-07-05T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-05T14:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-05T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-07-05T14:37:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T14:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-07-05T14:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-05T14:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-05T14:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-05T14:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-05T14:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T14:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-05T14:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-05T14:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-07-05T14:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-05T14:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-05T14:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-05T15:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T15:27:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T15:47:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T18:32:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T21:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T23:06:31] front_door_contact | BooleanState.StateValue = True
[2026-07-05T23:06:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-05T23:06:32] front_door_lock | DoorLock.LockState = 1
[2026-07-05T23:42:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为正常的居家活动模式。",
  "reasoning": [
    "1. 门锁状态分析：23:06:31 入户门传感器显示关闭（StateValue=True），随后门锁执行了手动上锁操作（LockOperationType=0 通常代表锁定/加锁），LockState 变为 1（Locked）。这符合住户夜间回家并反锁门窗的正常行为逻辑，不存在非法入侵迹象。",
    "2. 人员活动轨迹分析：客厅 occupancy 传感器在白天（10:52-15:47）和晚间（18:32-23:42）均持续检测到人（Occupancy=1），表明住户在家且活动正常。卧室传感器在下午时段也有间歇性活动记录，符合日常起居规律。",
    "3. 环境数据一致性：各房间温度传感器读数在合理范围内波动（约 23-25°C），无剧烈跳变或异常高温，排除了火灾或设备故障导致的极端环境变化。",
    "4. 无其他危险信号：日志中未出现烟雾报警器触发、漏水传感器报警、灶具长时间开启无人看管等高危事件。"
  ],
  "key_evidence": [
    "[2026-07-05T23:06:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual) - 确认住户主动上锁",
    "[2026-07-05T10:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1 - 确认住户白天在家",
    "[2026-07-05T23:42:00] living_room_occupancy | OccupancySensing.Occupancy = 1 - 确认住户夜间仍在活动"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续保持当前的智能家居自动化规则，确保夜间离家时自动上锁功能正常工作。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 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
- 已选事件数: 27

## 设备事件日志
[2026-08-28T07:27:11] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T07:27:11] front_door_lock | DoorLock.LockState = 2
[2026-08-28T07:27:13] front_door_contact | BooleanState.StateValue = False
[2026-08-28T07:27:19] front_door_contact | BooleanState.StateValue = True
[2026-08-28T07:27:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-28T07:27:20] front_door_lock | DoorLock.LockState = 1
[2026-08-28T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-28T18:01:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T18:01:02] front_door_contact | BooleanState.StateValue = False
[2026-08-28T18:01:14] entrance_light | OnOff.OnOff = True
[2026-08-28T19:31:24] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:47:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-28T19:47:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-28T19:51:24] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:51:56] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:53:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:55:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-28T19:55:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-28T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-28T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-28T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-28T20:15:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:21:56] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T20:23:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T20:35:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T22:10:03] entrance_light | OnOff.OnOff = False
[2026-08-28T22:10:21] front_door_contact | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的晚间居家活动及门锁状态记录。",
  "reasoning": [
    "1. 分析入户门事件：20:02-20:04期间，门锁上锁(LockState=2)且门磁关闭(Contact=False)，随后玄关灯开启(OnOff=True)。这符合住户在夜间回家或确认离家后的正常操作逻辑（如检查门锁并开灯），无非法入侵迹象。",
    "2. 分析最后一条关键证据：22:10:21记录到 front_door_contact 变为 True (门打开/未关严)，但此时 entrance_light 已于 22:10:03 关闭。虽然门开着，但在深夜时段，这可能是住户忘记关门、通风或宠物进出等正常行为，且没有伴随异常的运动传感器触发或非法开锁尝试。",
    "3. 综合其他设备状态：晚间19:55启动了洗碗机，客厅和卧室有正常的 occupancy 变化（有人活动后离开），厨房灶具已关闭，烟雾报警器无报警。整体行为模式符合一个独居或家庭用户的正常晚间生活轨迹，未发现入侵、火灾或设备故障的强特征。"
  ],
  "key_evidence": [
    "2026-08-28T20:02:00 front_door_lock | DoorLock.LockState = 2 (门锁上锁)",
    "2026-08-28T20:04:00 entrance_light | OnOff.OnOff = True (玄关灯开启，伴随门锁状态)",
    "2026-08-28T22:10:21 front_door_contact | BooleanState.StateValue = True (门未关，但无后续异常入侵行为)"
  ],
  "recommended_actions": [
    "建议用户确认深夜门未关闭是否为有意行为（如通风）。",
    "若此门常开存在安全隐患，可设置自动化规则：当门锁上锁且时间超过设定阈值（如深夜）时，若门磁仍为开启状态，则发送通知提醒用户检查。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 28

## 设备事件日志
[2026-07-02T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T07:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:27:03] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:28:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T07:37:00] dining_room_light | OnOff.OnOff = False
[2026-07-02T07:37:04] kitchen_light | OnOff.OnOff = False
[2026-07-02T07:37:12] master_bedroom_light | OnOff.OnOff = False
[2026-07-02T07:37:21] kids_room_light | OnOff.OnOff = False
[2026-07-02T07:37:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-02T07:37:30] front_door_lock | DoorLock.LockState = 2
[2026-07-02T07:37:32] front_door_contact | BooleanState.StateValue = False
[2026-07-02T07:37:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:37:40] front_door_contact | BooleanState.StateValue = True
[2026-07-02T07:37:41] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-02T07:37:41] front_door_lock | DoorLock.LockState = 1
[2026-07-02T07:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:47:03] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:48:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T07:49:35] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T07:57:33] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-02T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-02T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-02T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-02T08:03:00] front_door_lock | DoorLock.LockState = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的离家出门行为模式，无安全风险。",
  "reasoning": [
    "1. 分析入户门状态序列：在 07:37:30 至 07:37:41 期间，日志显示门锁先被手动解锁（LockState=2），随后门传感器显示门打开（Contact=False），紧接着门锁被重新上锁（LockState=1）。这一系列动作符合住户开门离开并立即反锁的标准流程。",
    "2. 验证后续状态一致性：在 08:02:00，系统再次记录到门锁处于锁定状态（LockState=2）且门传感器显示关闭（Contact=False），确认门户保持安全闭合状态。",
    "3. 结合环境上下文：虽然 07:57:33 玄关运动传感器短暂触发（Occupancy=1），但这可能是住户在门口整理物品、换鞋或智能设备误报，鉴于随后的门锁状态已确认为“已锁定”，且没有伴随非法入侵迹象（如未授权开锁尝试），因此判定为正常生活行为而非安全威胁。"
  ],
  "key_evidence": [
    "[2026-07-02T07:37:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 手动解锁",
    "[2026-07-02T07:37:32] front_door_contact | BooleanState.StateValue = False - 门打开",
    "[2026-07-02T07:37:41] front_door_lock | DoorLock.LockState = 1 - 手动上锁",
    "[2026-07-02T08:02:00] front_door_lock | DoorLock.LockState = 2 - 持续锁定状态"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议用户检查是否启用了‘离家自动上锁’功能，以简化日常操作并提高安全性。"
  ]
}
```

{
  "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。"
  ]
}