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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light, living_room_window_contact
- 已选事件数: 75

## 跨天活动摘要
- 2026-07-13: living_room=209, bedroom=243, kitchen=240, entrance=230, bathroom=61

## 设备事件日志
[2026-07-13T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-13T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-13T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-13T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-13T08:40:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T08:40:14] living_room_light | OnOff.OnOff = True
[2026-07-13T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-13T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-13T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-13T09:00:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-13T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-13T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-13T09:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:16:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:17:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-13T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-13T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-13T09:20:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:22:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-13T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-13T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-13T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-13T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-13T09:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-13T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-13T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-13T09:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:36:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-13T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-13T09:40:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-07-13T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-13T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-13T09:52:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-13T09:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-13T09:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-13T09:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:56:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T09:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-13T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-13T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-13T10:00:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-13T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-13T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-13T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-13T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-13T10:07:00] living_room_light | OnOff.OnOff = True
[2026-07-13T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-13T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-07-13T10:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-07-13T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-13T10:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:16:06] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:17:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-07-13T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-13T10:20:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-13T10:22:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-13T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-13T10:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-13T10:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-13T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-13T10:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-07-13T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-13T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-13T10:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445

## 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在早晨的正常起床及活动模式。",
  "reasoning": [
    "1. 活动时间与行为逻辑一致：日志起始于08:25，随后在08:40客厅 occupancy 传感器检测到有人（值为1），紧接着客厅灯开启，符合老人早晨起床后进入客厅开灯的习惯。",
    "2. 多房间活动轨迹合理：从09:15开始，卧室、厨房、玄关等区域陆续出现 occupancy 信号，且卫生间有短暂的占用记录（09:22, 09:52, 10:22），这构成了典型的晨间洗漱、如厕和准备早餐的活动闭环，符合独居老人的日常作息。",
    "3. 环境数据正常：客厅温度维持在25°C左右（Matter协议中通常单位为0.01摄氏度，即2546代表25.46°C），处于舒适区间；窗户传感器在10:05-10:06期间状态为False（关闭），表明没有异常开窗或长时间未关窗的风险。",
    "4. 无异常设备状态：所有传感器读数波动在正常范围内，未发现传感器卡死（stuck）或漂移（drift）迹象，也未发现烟雾报警或漏水警报触发。"
  ],
  "key_evidence": [
    "08:40:10 living_room_occupancy = 1 伴随 living_room_light = True，确认人员早起活动。",
    "09:15 - 10:25 期间，bedroom, kitchen, entrance, bathroom 等多个区域交替出现 occupancy 信号，呈现正常的居家活动流。",
    "living_room_temp_sensor 读数稳定在 2540-2559 (约25.4-25.6°C)，无极端值。",
    "living_room_window_contact 在 10:05 显示 False (关闭)，排除入侵或安全隐患。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控该时间段的常规活动规律，若未来出现长时间无 occupancy 信号或夜间异常活动，再行介入分析。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 126

## 跨天活动摘要
- 2026-08-14: living_room=112, entrance=229, master_bedroom=227, second_bedroom=48, bathroom=48, kitchen=11
- 2026-08-15: living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48
- 2026-08-16: living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48, kitchen=1

## 设备事件日志
[2026-08-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2437
[2026-08-14T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-14T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-14T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-14T05:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-14T05:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-14T05:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-14T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-14T05:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-14T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-14T06:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-14T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-14T06:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-14T06:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-14T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-14T06:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-14T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-14T06:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-14T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-14T06:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-14T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-14T06:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-14T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-14T06:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-14T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T06:35:05] master_bedroom_light | OnOff.OnOff = True
[2026-08-14T06:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-14T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-14T06:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-14T06:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T06:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-14T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-14T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-08-14T06:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-14T06:59:38] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-14T07:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-14T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-08-14T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T07:00:08] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-14T07:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-14T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-14T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-14T07:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-14T07:10:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-14T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520
[2026-08-14T07:18:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-14T07:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-14T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-14T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520
[2026-08-14T07:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-14T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2523
[2026-08-14T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-14T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-08-14T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-08-14T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T20:41:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-15T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2455
[2026-08-15T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-15T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-15T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-15T06:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-15T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-15T06:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-15T06:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-15T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-15T06:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-15T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-15T06:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-15T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-15T06:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-15T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-15T06:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-15T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-15T06:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-15T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-15T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-15T06:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-15T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-15T06:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-15T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-15T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-08-15T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-15T06:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-15T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-15T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-15T07:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-15T07:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-15T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-08-15T07:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-15T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-15T07:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-08-15T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-08-15T07:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-08-15T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-15T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-15T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-15T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-15T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-15T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-15T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-08-15T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-16T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:42:00] kitchen_light | OnOff.OnOff = True

## 任务
请从下面 3 天的时序日志中分析住户或环境是否出现异常模式，不要只看单个事件。

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在烹饪活动期间出现数据丢失（None），且随后读数异常波动，表明传感器可能故障或通信中断。",
  "reasoning": [
    "推理步骤 1: 分析 2026-08-14T07:00:00 至 07:18:00 期间的日志，发现 kitchen_cook_surface 在 06:59:38 开启，07:18:00 关闭，属于正常的烹饪活动。",
    "推理步骤 2: 在此期间，kitchen_temp_sensor 的读数从 2510 持续上升至 2520，符合灶具加热导致室温升高的物理规律。",
    "推理步骤 3: 关键异常点出现在 2026-08-14T07:00:08，即烹饪开始后不久，kitchen_temp_sensor 报告 MeasuredValue = None。紧接着在 07:05:00 和 07:15:00，读数分别为 2504 和 2520，显示出非线性的剧烈波动，这与连续稳定的升温趋势不符。",
    "推理步骤 4: 对比其他房间（如 living_room, master_bedroom）的温度传感器在同一时间段内均能正常、稳定地报告数值，排除了全屋网络或协议层面的普遍性故障，锁定为厨房特定传感器的硬件故障或校准漂移。",
    "推理步骤 5: 虽然烟雾报警器未触发，但温度传感器的失效意味着火灾预警系统的关键输入缺失，构成了潜在的安全隐患（Sensor Malfunction）。"
  ],
  "key_evidence": [
    "2026-08-14T07:00:08 kitchen_temp_sensor 报告值为 None，发生在烹饪开启后。",
    "2026-08-14T07:00:00 至 07:18:00 期间，除该次缺失外，温度读数呈现不自然的跳跃式变化（如 2510 -> 2504 -> 2520），而非平滑上升。",
    "同期其他房间温度传感器工作正常，排除了系统性网络问题。"
  ],
  "recommended_actions": [
    "立即检查并更换厨房温度传感器，确保其固件更新且电池电量充足。",
    "在维修完成前，建议用户手动定期检查厨房区域温度，或暂时启用更灵敏的烟雾/一氧化碳探测器作为补偿。",
    "审查 Matter 设备日志，确认是否存在重连失败或数据包丢包的记录，以排除临时通信干扰。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light_1, living_room_window_contact
- 已选事件数: 39

## 设备事件日志
[2026-07-27T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-27T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-27T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-27T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-27T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-27T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-27T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-27T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-27T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-27T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-27T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-27T09:45:13] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T09:51:54] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-27T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-27T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-27T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-27T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-27T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-27T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-27T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-27T10:15:13] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-27T10:21:54] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-07-27T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-27T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-27T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-27T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-27T10:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-27T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T11:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-27T11:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-27T18:15:25] living_room_light_1 | OnOff.OnOff = True
[2026-07-27T22:10:00] living_room_light_1 | OnOff.OnOff = False

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的家庭环境监控数据及傍晚时分的常规灯光操作。",
  "reasoning": [
    "1.  occupancy传感器持续报告为0（无人），且温度传感器读数在25.3°C-25.6°C之间波动，符合夏季或空调开启后的室内正常温度范围，无剧烈变化或异常高温/低温迹象。",
    "2.  窗户接触传感器（living_room_window_contact, bedroom_window_contact）在10:05和10:06分别变为False（关闭状态），结合此时段occupancy为0，可能是住户离开后自动关闭或之前已关闭的状态确认，随后长时间保持该状态直至日志结束，未见非法开启记录。",
    "3.  客厅主灯（living_room_light_1）在18:15开启，22:10关闭，这完全符合居民下班回家后开灯、睡前关灯的典型行为模式，属于正常生活轨迹。",
    "4.  日志中未出现门锁异常、烟雾报警、漏水检测或任何非授权访问的迹象，所有设备状态均在预期范围内。"
  ],
  "key_evidence": [
    "living_room_occupancy 持续为 0，表明该时段客厅无人活动",
    "living_room_temp_sensor 读数稳定在 2535-2559 (25.35-25.59°C)",
    "living_room_light_1 在 18:15 开启，22:10 关闭，符合晚间作息规律",
    "window_contact 传感器在上午10点左右确认为关闭状态，之后无异常触发"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "建议继续定期查看日志以维持对家庭安全状态的监控"
  ]
}
```

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


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

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

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

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

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

## 跨天活动摘要
- 2026-08-18: entrance=234, living_room=113, bathroom=56, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:16:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:16:14] front_door_lock | DoorLock.LockState = 2
[2026-08-18T07:16:16] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:16:20] front_door_contact | BooleanState.StateValue = True
[2026-08-18T07:16:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T07:16:21] front_door_lock | DoorLock.LockState = 1
[2026-08-18T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T12:36:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T12:56:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:16:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:28:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:36:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:56:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:58:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-18T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-18T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T14:16:17] entrance_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": "日志显示为正常的居家活动模式，入户门开关及门锁操作符合住户日常出入习惯，无安全威胁。",
  "reasoning": [
    "1. 分析早晨事件 (07:16): 用户先解锁门(LockState=2)，随后门传感器短暂变为False(可能因开门动作导致磁吸分离或信号延迟)，紧接着变为True(门关闭)，最后立即执行上锁操作(LockState=1)。这一系列快速连贯的动作（开锁->关门->上锁）是典型的“未出门但检查门锁”或“刚回家整理后确认反锁”的行为，逻辑自洽且无异常停留。",
    "2. 分析下午事件 (14:05-14:06): 用户在14:05将门锁状态设为2(通常代表已锁定/secure，具体取决于厂商定义，但结合后续行为看)，同时门传感器变为False(门被打开)。紧接着在14:06玄关灯亮起，且客厅运动传感器在14:07检测到有人。这表明用户正常开门进入室内并开灯，属于标准的回家流程。",
    "3. 综合判断: 所有关键设备（门锁、门磁、灯光、人体感应）的状态变化时间戳紧密关联，符合物理世界的因果逻辑（如：开门->灯亮->人进入）。没有发现暴力破解迹象、长时间非法滞留、或者设备故障导致的误报特征。"
  ],
  "key_evidence": [
    "07:16:14-07:16:21: 门锁解锁后立即重新上锁，伴随门磁状态变化，符合短时操作特征。",
    "14:05:00-14:07:00: 门锁状态改变与门磁触发、玄关灯开启、客厅人员检测形成完整的‘回家’行为链。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持现有自动化规则运行，继续监控长期行为模式的偏离。"
  ]
}
```

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

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

## 设备事件日志
[2026-08-17T07:20:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T07:20:27] front_door_contact | BooleanState.StateValue = False
[2026-08-17T07:20:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T15:59:02] front_door_contact | BooleanState.StateValue = False
[2026-08-17T17:55:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T18:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:29:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:30:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:40:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:44:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:49:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:55:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-17T20:09:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:14:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:15:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:16:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:29:10] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:35:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:36:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的家庭晚间活动模式。",
  "reasoning": [
    "1. 门锁状态分析：日志中 `front_door_lock` 在 20:02 和 20:03 分别报告了 LockState=2 (Locked) 和 Contact=False (Closed)。这符合住户回家或检查门窗后的正常状态确认，且没有伴随非法解锁（LockOperationType=0）或异常开启的记录。",
    "2. 人员活动轨迹分析：从 18:55 开始，玄关运动传感器 (`entrance_occupancy`) 被触发，随后在 19:29 至 20:45 期间，儿童房、客厅、主卧、餐厅等多个房间的运动传感器依次或同时被触发。这种多房间、持续的人员移动模式符合家庭成员在晚间进行日常活动（如看电视、休息、孩子玩耍等）的特征。",
    "3. 逻辑一致性验证：门锁关闭后，室内多个区域出现活跃的人体存在信号，且时间跨度合理（近一小时），没有出现长时间无人但门开着，或深夜异常入侵的迹象。所有事件均指向正常的居家生活场景。"
  ],
  "key_evidence": [
    "front_door_lock | DoorLock.LockState = 2 (门锁已锁)",
    "entrance_occupancy | OccupancySensing.Occupancy = 1 (玄关有人)",
    "living_room_occupancy / kids_room_occupancy 等多房间传感器持续触发 (室内人员活动正常)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议继续保持当前的监控策略，关注夜间非活动时段的异常状态。"
  ]
}
```

{
  "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: 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: 98

## 跨天活动摘要
- 2026-07-23: balcony=3, entrance=229, living_room=109, bathroom=56, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-23T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-23T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-23T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-23T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-23T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:32:15] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:33:55] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-23T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-23T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-23T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-23T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-23T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-23T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-23T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-23T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-23T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-23T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-23T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-23T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-23T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-23T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-23T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-23T16:52:15] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-23T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-23T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-23T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-23T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-23T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:03:55] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-23T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-23T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-23T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-23T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-23T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-23T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-23T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-23T17:12:15] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-23T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-23T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-23T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-23T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-23T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-23T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-23T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-23T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-23T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-23T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-23T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-23T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-23T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-23T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-23T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:32:15] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:33:55] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-23T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-23T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-23T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-23T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-23T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-23T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-23T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-23T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-23T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-23T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-23T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-23T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-23T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-23T17:52:15] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-23T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-23T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-23T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-23T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-23T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-23T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-23T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T18:03:55] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-23T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-23T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-23T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-23T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-23T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-23T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-23T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511

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

请按以下 JSON 格式回答：

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

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房温度传感器检测到急剧且异常的高温飙升，远超正常烹饪范围，存在严重的火灾风险。",
  "reasoning": [
    "推理步骤 1: 分析时间序列数据，发现厨房温度传感器 (kitchen_temp_sensor) 在 18:00 至 18:10 期间数值发生剧烈跳变。",
    "推理步骤 2: 具体数据显示，温度从正常的约 23°C (2346-2395 mK) 在 18:05 突增至 24.46°C (2446 mK)，并在 18:10 进一步飙升至 25.11°C (2511 mK)。这种短时间内上升超过 1.5°C 的速率对于室内环境而言极不自然。",
    "推理步骤 3: 结合上下文，此时住户并未在厨房活动（客厅、主卧、次卧运动传感器均为 0），且阳台洗衣机刚启动，排除了人为长时间高温烹饪的可能性。该读数更符合烟雾报警器或热敏元件因过热/故障导致的误报，或者是真实发生的局部起火/冒烟事件触发了早期高温探测。无论哪种情况，都构成了极高的火灾隐患。"
  ],
  "key_evidence": [
    "[2026-07-23T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395",
    "[2026-07-23T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446",
    "[2026-07-23T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511"
  ],
  "recommended_actions": [
    "立即通知住户前往厨房检查是否存在明火、烟雾或设备故障。",
    "如果确认有烟雾或火情，立即拨打紧急电话并撤离。",
    "若仅为传感器故障，建议更换厨房温度传感器并检查烟雾报警器状态。"
  ]
}
```


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: 17

## 设备事件日志
[2026-08-02T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T07:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T08:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T08:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-02T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-02T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-02T08:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T08:20:02] bedroom_light | OnOff.OnOff = True
[2026-08-02T08:20:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-02T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T08:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T22:51:20] front_door_contact | BooleanState.StateValue = True
[2026-08-02T22:51:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-02T22:51:21] 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": "日志显示的是正常的居家生活行为模式，包括早晨出门和晚间回家，未检测到安全风险。",
  "reasoning": [
    "分析早晨事件 (08:02 - 08:03)：入户门传感器状态为 False（关闭），门锁状态从 2（已锁定）变为 1（未锁定/解锁）。这符合住户早晨离家时打开门锁并离开家的正常行为逻辑。随后卧室运动传感器在 08:20 被触发，可能是住户在卧室整理物品或尚未完全离开监控区域，属于正常活动。",
    "分析晚间事件 (22:51)：入户门传感器状态变为 True（开启），门锁执行了手动解锁操作（LockOperationType=0 通常指解锁），且最终状态为 1（未锁定）。这符合住户晚上回家开门进入室内的正常行为。",
    "综合判断：整个时间序列展示了典型的“离家-在家”循环，没有发现非法入侵迹象（如深夜强行开锁、门窗异常开启）、设备故障或危险行为。所有动作均有对应的物理状态变化支持，逻辑连贯。"
  ],
  "key_evidence": [
    "08:02 门锁解锁且门关闭，符合离家场景",
    "22:51 门锁手动解锁且门开启，符合回家场景",
    "无异常时间段的活动记录或设备报错"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "继续保持常规安全监控即可"
  ]
}
```

{
  "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: 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: 25

## 设备事件日志
[2026-07-05T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-05T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-05T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:30:00] 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": "未检测到安全风险，日志显示为正常的早晨离家或设备状态同步过程。",
  "reasoning": [
    "1. 时间背景分析：事件发生在2026-07-05的早上08:00左右，属于典型的家庭作息时间段（起床、准备出门）。",
    "2.  occupancy传感器状态：在07:30至08:30期间，全屋所有房间（包括卧室、客厅、玄关）的运动传感器均报告 Occupancy = 0（无人）。这表明住户可能刚起床离开卧室，或者正在家中其他未监控区域活动，但玄关区域确实无人。",
    "3. 门锁与门磁联动逻辑：08:02时，入户门锁状态变为2（通常代表已解锁/Unlocked），同时门磁传感器状态变为False（通常代表门已打开/Open）。紧接着在08:03，门锁状态变回1（通常代表已锁定/Locked）。这一序列（解锁 -> 开门 -> 关门并上锁）符合住户出门后自动落锁，或住户手动开门外出后确认锁门的正常行为模式。",
    "4. 排除入侵嫌疑：如果是非法入侵，通常不会在开门后立即执行“上锁”动作（除非是内部人员反锁，但这不构成外部入侵威胁）。且在全屋无人的情况下，这种短暂的开关门操作更倾向于是一次性的离家行为。"
  ],
  "key_evidence": [
    "08:02:00 front_door_lock | DoorLock.LockState = 2 (解锁)",
    "08:02:00 front_door_contact | BooleanState.StateValue = False (门开)",
    "08:03:00 front_door_lock | DoorLock.LockState = 1 (上锁)",
    "07:30-08:30 全屋 occupancy_sensor 均为 0 (无人)"
  ],
  "recommended_actions": [
    "无需采取紧急行动。",
    "建议检查智能家居自动化规则，确保‘离家模式’能在检测到门关闭且长时间无运动时自动触发安防布防。"
  ]
}
```

{
  "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 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: 22

## 设备事件日志
[2026-08-12T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:18:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:18:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:18:17] front_door_lock | DoorLock.LockState = 2
[2026-08-12T07:18:19] front_door_contact | BooleanState.StateValue = False
[2026-08-12T07:18:20] front_door_contact | BooleanState.StateValue = True
[2026-08-12T07:18:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T07:18:21] front_door_lock | DoorLock.LockState = 1
[2026-08-12T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:38:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:50:39] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:58:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-12T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-12T08:18:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T08:20:39] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的早晨离家行为模式，无安全风险。",
  "reasoning": [
    "1. 分析入户门状态序列：日志显示在 07:18 左右，门锁先解锁（LockState=2），随后接触传感器短暂变为 False（可能为开门瞬间或误触），紧接着变为 True（关门），最后门锁重新上锁（LockState=1）。这一系列动作符合用户出门并确认关好门的正常逻辑。",
    "2. 验证后续安全状态：在 08:02 记录中，门锁明确处于锁定状态（LockState=2），且接触传感器显示关闭（False），表明大门在随后的时间内保持紧闭和锁定状态，未出现非法入侵迹象。",
    "3. 结合 occupancy 传感器数据：虽然玄关运动传感器在 07:18、07:38、07:58 多次触发，但这与用户在家活动（如去卫生间、客厅）的轨迹一致，且最终大门已锁定，整体行为符合住户早晨起床后准备外出的正常生活规律，未发现异常徘徊或强行闯入特征。"
  ],
  "key_evidence": [
    "[2026-08-12T07:18:21] front_door_lock | DoorLock.LockState = 1 (确认出门后已上锁)",
    "[2026-08-12T08:02:00] front_door_lock | DoorLock.LockState = 2 (长时间段内保持锁定状态)"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "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, living_room_occupancy
- 已选事件数: 22

## 跨天活动摘要
- 2026-07-12: entrance=54, living_room=197, bathroom=56, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-07-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T10:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T12:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T12:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T13:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T13:15:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T13:26:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T13:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T13:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T13:55:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T13:56:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T14:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-12T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-12T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-12T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T14:15:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-12T14:26:47] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的居家活动模式。",
  "reasoning": [
    "1. 门锁状态分析：在 14:05:00，入户门锁 (front_door_lock) 的 LockState 变为 2（通常代表 'Unlocked' 或 'Unlatched'），同时门磁传感器 (front_door_contact) 状态为 False（通常代表 'Closed'）。这表明住户可能从内部解锁了门但并未离开，或者刚刚回家并关上了门。结合后续玄关灯亮起，符合正常归家或室内活动的逻辑。",
    "2. 人员活动轨迹一致性：客厅运动传感器 (living_room_occupancy) 在 14:07 至 14:15 期间持续报告有人存在 (Occupancy=1)，这与玄关区域的活动时间窗口吻合，表明有人在屋内活动，而非无人状态下的异常开门。",
    "3. 排除入侵特征：没有检测到‘先开锁后开门’且伴随长时间无 occupancy 的异常序列，也没有夜间或非习惯时间的异常闯入迹象。所有设备状态变化均在合理的时间间隔内发生，且符合日常居住行为。"
  ],
  "key_evidence": [
    "[2026-07-12T14:05:00] front_door_lock | DoorLock.LockState = 2 (Unlocked)",
    "[2026-07-12T14:05:00] front_door_contact | BooleanState.StateValue = False (Closed)",
    "[2026-07-12T14:06:00] entrance_light | OnOff.OnOff = True (Light On)",
    "[2026-07-12T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1 (Occupied)"
  ],
  "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正常活动，若确认为误报可忽略此日志。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 30

## 设备事件日志
[2026-08-12T07:41:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:41:28] front_door_contact | BooleanState.StateValue = False
[2026-08-12T07:41:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T16:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T16:26:02] front_door_contact | BooleanState.StateValue = False
[2026-08-12T17:48:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T18:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:28:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:30:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:31:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:36:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:50:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:51:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:53:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-12T19:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-12T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-12T20:08:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:15:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:16:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:21:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:23:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T20:35:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T20:36:08] kids_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的家庭晚间活动模式，包括门锁状态更新、人员在各房间移动及电器启动，未发现安全威胁或异常行为。",
  "reasoning": [
    "1. 门锁与传感器状态分析：20:02-20:03期间，入户门锁状态变为锁定(LockState=2)，同时门磁传感器显示关闭(False)。这符合住户回家并反锁大门的正常逻辑，且时间（20:02）晚于之前的 occupancy 检测（19:58），表明有人在家但可能处于静止状态或刚完成进门动作后的确认。",
    "2. 灯光控制逻辑：20:04玄关灯开启，紧随门锁操作之后，符合“回家开灯”的自动化场景或手动习惯，无异常亮灯迹象。",
    "3. 人员活动轨迹合理性：从19:28开始，运动传感器依次在客厅、餐厅、儿童房、主卧被触发，随后在20:00和20:30次卧传感器显示无人(Occupancy=0)。这种多房间的人员流动符合家庭成员在晚间进行休闲、用餐或准备休息的日常活动规律。",
    "4. 设备运行正常：19:53洗碗机启动，属于常见的晚间家务活动时间点，结合其他房间的活跃状态，进一步佐证了这是正常的家庭生活场景，而非入侵或故障。"
  ],
  "key_evidence": [
    "front_door_lock LockState = 2 (Locked) at 20:02:00",
    "front_door_contact StateValue = False (Closed) at 20:03:00",
    "entrance_light OnOff = True at 20:04:00",
    "Multiple occupancy sensors triggered in living/dining/kids/master rooms between 19:28 and 20:36",
    "dishwasher OperationalState = 1 (Running) at 19:53:05"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议继续保持当前的自动化规则（如回家自动开灯、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: 两室一厅 (2BR)
- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 bathroom: 卫生间灯[onoff_light], 卫生间运动传感器[occupancy_sensor], 卫生间漏水传感器[water_leak_detector]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 26

## 设备事件日志
[2026-08-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:27:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:27:23] front_door_lock | DoorLock.LockState = 2
[2026-08-18T07:27:25] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:27:33] front_door_contact | BooleanState.StateValue = True
[2026-08-18T07:27:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T07:27:34] front_door_lock | DoorLock.LockState = 1
[2026-08-18T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T12:57:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:17:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:37:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:57:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-18T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-18T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T14:14:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的住户回家及室内活动行为。",
  "reasoning": [
    "1. 门锁与门磁状态分析：在 07:27 和 14:05 两个时间点，入户门锁从锁定状态（LockState=2）变为解锁状态（LockState=1），同时门磁传感器显示门被打开（StateValue=False/True 序列符合开门逻辑）。这符合住户正常进出家的行为模式。",
    "2.  occupancy 联动分析：14:05 门开后，14:06 玄关灯亮起，随后 14:07 客厅运动传感器检测到有人（Occupancy=1），且主卧也持续有人员活动迹象。这种‘开门-亮灯-进入室内’的时序逻辑完全符合正常住户回家的场景。",
    "3. 排除异常特征：没有发现暴力破拆、多次错误尝试、深夜非法入侵或长时间无人却频繁开门等可疑迹象。所有设备状态变化均具有合理的因果关联和时间连续性。"
  ],
  "key_evidence": [
    "14:05 front_door_lock LockState 变为 1 (Unlocked) 且 front_door_contact 显示门开启",
    "14:06 entrance_light OnOff 变为 True (开灯)",
    "14:07 living_room_occupancy Occupancy 变为 1 (检测到人员)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续监控日常习惯基线，以便在未来识别偏离常态的行为。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: 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: 30

## 设备事件日志
[2026-08-19T08:37:13] living_room_light | OnOff.OnOff = True
[2026-08-19T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-19T08:57:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-19T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-19T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-19T09:17:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-19T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-19T09:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:34:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-19T09:35:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T09:37:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-19T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-19T09:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:54:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:54:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-19T09:57:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-19T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-19T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-19T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-19T10:05:50] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-19T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-19T10:07:00] living_room_light | OnOff.OnOff = True
[2026-08-19T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-19T10:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "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监控数据。",
  "reasoning": [
    "1. 人员活动轨迹符合常理：日志显示老人在09:32至10:12期间在玄关、卧室、厨房、卫生间和客厅之间移动（Occupancy传感器触发），且时间间隔合理（如09:52在玄关，09:54在卧室/厨房，随后进入客厅），符合独居老人早晨起床后洗漱、查看门窗或准备早餐的日常行为模式。",
    "2. 窗户状态与光照/活动逻辑一致：10:05和10:06记录到客厅和卧室窗户关闭（StateValue=False）。考虑到此时段为上午，且室内温度传感器读数稳定在25.4°C左右（Matter协议中通常单位为0.01摄氏度，即25.41°C），若窗户长时间开启可能导致温度波动或与室外温差较大，关闭窗户可能是为了保温或防风，属于正常生活操作。",
    "3. 无异常设备报警：烟雾报警器、漏水传感器、门锁等关键安全设备在日志片段中未触发任何告警状态（如Open/Alarm/Leak等），仅记录了正常的 occupancy 和 temperature 变化，未发现入侵、火灾或健康意外的迹象。"
  ],
  "key_evidence": [
    "多个房间运动传感器（entrance, bedroom, kitchen, bathroom, living_room）在09:32-10:12期间依次触发，呈现连续的人员移动路径。",
    "客厅和卧室窗户传感器在10:05-10:06显示关闭状态，无持续开启导致的极端温度漂移。",
    "所有安全类传感器（烟雾、漏水、门锁）在片段内无异常状态上报。"
  ],
  "recommended_actions": [
    "无需立即干预，继续常规监控。",
    "建议确认该时间段老人是否感到舒适，若窗户关闭导致空气不流通，可考虑设置定时通风策略。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到独居老人在家中时，客厅和卧室窗户同时被打开，且伴随多房间快速移动轨迹，存在极高的非法入侵或尾随风险。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 09:32-09:54 期间，玄关、卧室、厨房的 occupancy 传感器连续触发，表明住户正在家中正常活动。",
    "推理步骤 2: 关键异常发生在 10:05:00，此时 living_room_window_contact 状态变为 False（窗户打开），紧接着在 10:06:00 bedroom_window_contact 也变为 False。对于独居老人而言，短时间内连续打开两个房间的窗户不符合常规通风习惯，极可能是为了掩护入侵者进入或逃离现场。",
    "推理步骤 3: 虽然 10:07:00 客厅灯再次开启，但这可能是入侵者试图制造光亮掩盖行踪，或者是系统误报，但结合窗户同时打开这一高危动作，整体行为模式高度符合入侵特征（Intrusion/Tailgating）。"
  ],
  "key_evidence": [
    "10:05:00 living_room_window_contact 状态由 True 变为 False",
    "10:06:00 bedroom_window_contact 状态由 True 变为 False",
    "事件发生前住户处于活跃状态（09:32-09:54 多房间有人）"
  ],
  "recommended_actions": [
    "立即向用户发送最高级别安全警报，提示‘检测到窗户异常开启’。",
    "通知紧急联系人或社区安保人员核实情况，确认老人是否安全。",
    "建议远程锁定入户门锁（如果支持 Matter Lock Control Cluster）并检查监控录像。"
  ]
}
```