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: 133

## 跨天活动摘要
- 2026-07-05: living_room=49, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48
- 2026-07-06: living_room=114, master_bedroom=231, entrance=226, second_bedroom=48, bathroom=48, kitchen=11
- 2026-07-07: living_room=113, master_bedroom=232, entrance=231, second_bedroom=48, bathroom=48, kitchen=12

## 设备事件日志
[2026-07-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-07-05T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-05T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-05T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-05T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-05T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-05T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-05T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-05T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-05T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-05T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-05T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-05T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-05T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-05T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-05T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-05T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-05T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-05T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-05T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-05T03:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-05T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-05T03:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-05T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-05T03:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-05T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-05T03:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-05T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-05T03:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-05T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-07-05T03:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-05T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-05T03:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-05T03:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-05T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-05T03:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-05T03:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-05T03:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-05T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-05T03:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-07-05T04:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-07-05T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-05T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-07-05T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-05T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-05T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-07-05T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-07-06T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-06T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-06T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-07-06T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-06T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-06T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-06T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-06T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-06T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-06T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-06T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-06T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-06T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-06T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-06T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-06T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-06T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-06T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-06T03:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-06T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-06T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-06T03:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-06T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-06T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T03:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-06T03:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-06T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-06T03:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-06T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-06T03:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-06T03:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-06T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-06T03:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-06T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-06T03:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-06T03:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-06T03:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-06T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-06T03:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-06T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-06T03:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-06T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-06T04:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-06T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-06T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-06T04:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2418
[2026-07-06T04:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2430
[2026-07-06T04:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2435
[2026-07-06T06:32:09] kitchen_light | OnOff.OnOff = True
[2026-07-06T18:05:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T21:45:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-07T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-07T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-07T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-07T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-07T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-07T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-07T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-07T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-07T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T03:15:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "连续多天同一时段出现陌生运动模式",
  "reasoning": [
    "推理步骤1: 连续 3 天都在 03:14 出现客厅运动",
    "推理步骤2: 时间点高度一致",
    "推理步骤3: 第 3 天继续延伸到厨房活动"
  ],
  "key_evidence": [
    "连续 3 天都在 03:14 出现客厅运动",
    "时间点高度一致",
    "第 3 天继续延伸到厨房活动"
  ],
  "recommended_actions": [
    "标记为重复异常夜间活动，建议排查入侵或异常访客。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "温度传感器读数严重偏离物理现实（显示为 2300+ mK 即 23°C 以上，但数值增长过快且无对应热源或人员活动支撑），疑似传感器故障或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，从 2026-07-05T01:40:00 开始，living_room_temp_sensor 的 MeasuredValue 从 2320 持续线性上升至 2435 (代表 23.2°C 到 24.3°C)，随后在 07-06 和 07-07 重复类似模式。虽然绝对值看似合理（约 23-24°C），但在凌晨无人时段（Occupancy=0），温度通常应缓慢下降或保持恒定，而非呈现这种规律的、持续的上升趋势。",
    "推理步骤 2: 对比 occupancy 状态，在温度显著上升期间（如 07-05T02:00 至 T04:40），所有相关房间（living_room, master_bedroom, second_bedroom）的 Occupancy 均为 0。如果存在真实热源（如人、电器），应有相应的占用记录或设备开启记录（如空调、灯光），但日志中未见此类关联事件。",
    "推理步骤 3: 检查跨天一致性，三天内同一时间段（凌晨 1:40 - 4:45）均出现几乎相同的温度爬升曲线。这种高度重复的‘异常’行为排除了偶然的环境干扰，强烈指向传感器硬件故障（Sensor Drift/Malfunction）或固件逻辑错误，导致上报的温度值随时间单调递增，不符合热力学规律。"
  ],
  "key_evidence": [
    "2026-07-05T01:40:00 至 04:45:00 期间，living_room_temp_sensor 在无人员占用（Occupancy=0）的情况下，温度读数从 2320 持续上升至 2435。",
    "该异常模式在连续三天（07-05, 07-06, 07-07）的相同深夜时段重复出现，且伴随其他房间传感器类似的非自然升温趋势。",
    "缺乏任何解释温度升高的上下文事件（如空调开启、人员进入、大功率电器运行）。"
  ],
  "recommended_actions": [
    "立即标记 living_room_temp_sensor 及受影响的 secondary sensors 为‘故障/漂移’状态，并在系统中暂时屏蔽其报警功能以防误报。",
    "安排技术人员现场校准或更换温度传感器硬件，并检查 Matter 协议栈中的传感器配置参数。",
    "在修复前，建议用户手动使用独立温度计监测客厅实际温度，以确保环境安全。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-05T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-05T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-05T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:05:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-05T07:05:02] front_door_lock | DoorLock.LockState = 2
[2026-07-05T07:05:06] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-05T07:05:06] front_door_lock | DoorLock.LockState = 1
[2026-07-05T08:37:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-05T08:37:00] front_door_lock | DoorLock.LockState = 2
[2026-07-05T08:37:15] living_room_light | OnOff.OnOff = True
[2026-07-05T12:32:00] living_room_light | OnOff.OnOff = False
[2026-07-05T13:55:20] living_room_light | OnOff.OnOff = True
[2026-07-05T19:25:04] living_room_light | LevelControl.CurrentLevel = 34
[2026-07-05T20:38:00] living_room_light | OnOff.OnOff = False
[2026-07-05T20:52:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-05T20:52:09] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间休息、清晨起床及日间活动模式，门锁操作符合预期，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 分析时间线，03:00-04:00 期间所有房间（包括玄关、卧室、厨房等）的 OccupancySensing.Occupancy 均为 0，且入户门锁在 04:06-04:09 处于解锁状态 (LockState=1)，随后在 07:05 由住户手动上锁 (LockOperationType=1)，这完全符合独居老人夜间睡眠至清晨起床开门查看或取物的正常作息规律。",
    "推理步骤 2: 检查门锁事件，07:05 和 08:37 均记录为 Manual 来源的上锁/解锁操作，且操作后状态正确切换，无未授权访问尝试或强制开锁迹象；20:52 的解锁操作发生在晚间，符合回家场景。",
    "推理步骤 3: 观察客厅灯光变化，04:09 开灯对应起床，12:32 关灯可能为午休或外出，13:55 再次开灯，19:25 调光，20:38 关灯，这些状态变化与 occupancy 数据（虽然部分时间点未直接关联到同一秒，但整体趋势一致）及人类活动时间吻合，不存在设备卡死或传感器漂移导致的误报。"
  ],
  "key_evidence": [
    "03:00-04:00 全屋无人且门锁保持开启状态，符合夜间睡眠特征。",
    "07:05 和 08:37 的门锁操作明确标记为 Manual 且状态逻辑正常。",
    "灯光开关时间与推测的人类活动时间段高度一致。"
  ],
  "recommended_actions": [
    "继续监控日常模式，无需立即干预。",
    "建议定期核对老人智能设备的使用习惯是否发生变化。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 133

## 跨天活动摘要
- 2026-08-24: living_room=210, bedroom=242, kitchen=239, entrance=230, bathroom=58
- 2026-08-25: living_room=211, bedroom=241, kitchen=238, entrance=230, bathroom=64
- 2026-08-26: living_room=209, bedroom=241, kitchen=241, entrance=231, bathroom=58

## 设备事件日志
[2026-08-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-24T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-24T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-24T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-24T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-24T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-24T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2247
[2026-08-24T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2241
[2026-08-24T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-24T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-24T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-24T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-24T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-24T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-24T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-24T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-24T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-24T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-24T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-24T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-24T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-24T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-24T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-24T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-24T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-08-24T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-24T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-24T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-24T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-24T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-24T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-24T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-24T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-24T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-24T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-24T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-08-24T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2421
[2026-08-24T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-08-24T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-08-24T10:55:00] kitchen_light | OnOff.OnOff = True
[2026-08-24T23:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-25T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-25T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-25T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-25T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-25T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-25T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-25T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2240
[2026-08-25T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-25T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-25T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-25T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-25T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-25T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-25T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-25T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-25T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-25T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-25T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-25T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-25T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-25T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-25T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-25T03:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-25T03:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-25T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T03:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T03:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-25T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-25T03:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-25T03:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-25T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-25T03:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-25T03:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-25T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-25T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-25T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-25T04:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2419
[2026-08-25T04:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-25T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T04:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2420
[2026-08-25T04:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2426
[2026-08-25T11:10:00] kitchen_light | OnOff.OnOff = True
[2026-08-25T23:42:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-26T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-26T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-26T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-26T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-26T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-26T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-26T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2239
[2026-08-26T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-26T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-26T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-26T02:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-26T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-26T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-26T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-26T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-26T03:14:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-26T03:15:00] kitchen_light | OnOff.OnOff = True
[2026-08-26T03:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-26T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372

## 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": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "连续多天同一时段出现陌生运动模式",
  "reasoning": [
    "推理步骤1: 连续 3 天都在 03:14 出现客厅运动",
    "推理步骤2: 时间点高度一致",
    "推理步骤3: 第 3 天继续延伸到厨房活动"
  ],
  "key_evidence": [
    "连续 3 天都在 03:14 出现客厅运动",
    "时间点高度一致",
    "第 3 天继续延伸到厨房活动"
  ],
  "recommended_actions": [
    "标记为重复异常夜间活动，建议排查入侵或异常访客。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人的夜间活动模式高度一致且符合预期，未发现入侵、火灾或设备故障等安全威胁。",
  "reasoning": [
    "行为模式一致性：三天（8-24 至 8-26）的日志显示了完全相同的夜间作息规律。住户通常在凌晨 01:40 左右开始有温度传感器读数（起床/活动），在 03:14 左右进入客厅（occupancy=1），随后在 03:30 离开并恢复无人状态，直到次日深夜 23:42-23:51 再次短暂出现。这种跨天的高度重复性表明这是正常的习惯性行为，而非异常闯入或混乱。",
    "环境参数正常：虽然温度数值较大（如 2439），但考虑到 Matter 协议中温度通常以 0.01°C 为单位存储，实际温度约为 24.39°C，处于夏季室内舒适范围，未出现过热或极低温导致的设备故障迹象。厨房和卧室的温度变化趋势与客厅活动同步，逻辑合理。",
    "无危险事件触发：日志中未检测到烟雾报警器（smoke_co_alarm）、漏水传感器（water_leak_detector）或门锁异常开启的事件。厨房灯光仅在白天特定时间（约 10:55 和 11:10）开启，符合日间烹饪习惯，且没有伴随异常的灶具操作记录或长时间无人看管的高温持续上升现象。",
    "传感器状态健康：运动传感器和温度传感器的数据更新频率稳定，数值随时间平滑变化，没有出现传感器卡死（stuck）、漂移（drift）或误报占用的情况。"
  ],
  "key_evidence": [
    "三天内夜间活动起始时间（~01:40）、客厅占用峰值时间（~03:14）及结束时间（~03:30）保持高度一致。",
    "所有房间的运动传感器在夜间大部分时间保持为 0，仅在预期的起床和短暂活动时段变为 1，无不明来源的占用信号。",
    "关键安全设备（烟雾报警、漏水检测）在整个监控周期内无任何报警或状态变更日志。"
  ],
  "recommended_actions": [
    "继续保持当前的监控策略，该模式已确认为基线正常行为。",
    "建议定期复核温度传感器的校准值，确保显示的摄氏度数值准确无误（当前数据显示约为 24°C，属正常）。",
    "鉴于住户为独居老人，可考虑在现有自动化基础上，增加针对“长时间无活动”（如超过 24 小时）的关怀提醒机制，作为额外的安全保障。"
  ]
}
```


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: front_door_lock, kitchen_light, living_room_occupancy
- 已选事件数: 36

## 跨天活动摘要
- 2026-07-24: entrance=227, master_bedroom=230, living_room=113, second_bedroom=48, bathroom=48, kitchen=12

## 设备事件日志
[2026-07-24T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T06:45:02] kitchen_light | OnOff.OnOff = True
[2026-07-24T07:48:05] kitchen_light | OnOff.OnOff = False
[2026-07-24T07:48:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T07:48:27] front_door_lock | DoorLock.LockState = 2
[2026-07-24T07:48:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-24T07:48:38] front_door_lock | DoorLock.LockState = 1
[2026-07-24T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T16:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T16:27:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T18:09:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T18:45:00] kitchen_light | OnOff.OnOff = True
[2026-07-24T19:34:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T21:04:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T21:49:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T21:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:09:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:12:29] front_door_contact | BooleanState.StateValue = True
[2026-07-24T22:12:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-24T22:12:30] front_door_lock | DoorLock.LockState = 1
[2026-07-24T22:29:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:29:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:37:15] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:49:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T22:57:15] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T23:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T23:09:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T23:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T23:18:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T23:25:00] kitchen_light | OnOff.OnOff = True

## 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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "远程解锁后室内活动延迟出现",
  "reasoning": [
    "推理步骤1: 先出现远程解锁结果",
    "推理步骤2: 几分钟后才有室内活动",
    "推理步骤3: 中间缺乏正常进门链路"
  ],
  "key_evidence": [
    "先出现远程解锁结果",
    "几分钟后才有室内活动",
    "中间缺乏正常进门链路"
  ],
  "recommended_actions": [
    "标记为可疑远程开锁事件，建议核查账户凭证与远程授权。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的家庭晚间活动模式，包括入户、室内活动及睡前锁门，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，用户在 07:48 和 16:27 进行了常规的开门/关门操作，符合白天外出或回家的正常行为。",
    "推理步骤 2: 在 22:12 左右，系统检测到前门接触传感器触发（True），随后立即（30 秒内）执行了手动上锁操作（LockOperationType=0, LockState=2->1），这是标准的‘进门后确认并锁门’的安全流程。",
    "推理步骤 3: 后续日志中，客厅和玄关的运动传感器持续报告有人（Occupancy=1），且主卧在 22:37 被占用，表明家庭成员正常在家活动直至深夜，最后厨房灯在 23:25 开启可能是夜间起夜或准备休息，整体行为逻辑连贯且符合住户习惯。"
  ],
  "key_evidence": [
    "22:12:29 前门接触传感器触发 (BooleanState.StateValue = True)",
    "22:12:30 紧接着发生手动上锁操作 (LockOperationType=0, DoorLock.LockState = 1)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前状态安全。",
    "建议继续保持对门锁状态和运动传感器的监控，以作为基线数据用于未来异常检测训练。"
  ]
}
```


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_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-07-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-07-30T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-30T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-07-30T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-07-30T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-30T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-30T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-30T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-30T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-30T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-30T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-30T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-30T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-30T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-30T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-30T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-30T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-30T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-30T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-30T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-30T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-30T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-30T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-30T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-30T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-30T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-30T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-30T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T19:32:24] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T20:54:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T22:19:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T23:44:05] living_room_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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


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_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-08-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-20T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-08-20T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-20T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-20T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-20T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-20T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-20T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-20T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-20T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-20T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-20T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-20T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-20T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-20T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-20T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-20T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-20T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-20T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-20T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-20T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-20T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-20T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-20T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-20T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-08-20T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-20T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-20T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-20T19:32:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T20:57:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T22:22:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-20T23:47:04] living_room_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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


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: 24

## 设备事件日志
[2026-08-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:11:00] front_door_lock | DoorLock.LockState = 2
[2026-08-22T02:11:00] front_door_contact | BooleanState.StateValue = False
[2026-08-22T02:12:00] entrance_light | OnOff.OnOff = True
[2026-08-22T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T10:54:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T13:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T16:04:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T18:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T21:14:00] living_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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "credential_theft",
  "threat_description": "临时访客码在非预约时段使用",
  "reasoning": [
    "推理步骤1: 凌晨 02:11 门锁解锁并开门",
    "推理步骤2: 玄关灯随后开启",
    "推理步骤3: 紧接着出现室内活动，不像误触"
  ],
  "key_evidence": [
    "凌晨 02:11 门锁解锁并开门",
    "玄关灯随后开启",
    "紧接着出现室内活动，不像误触"
  ],
  "recommended_actions": [
    "标记为异常入户，建议检查临时访客码使用记录并立即重置。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示正常的夜间离家模式及随后的日间正常活动，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 分析时间线，02:11 分门锁解锁 (LockState=2) 且门接触传感器状态为 False (开门)，随后玄关灯开启 (OnOff=True)，这是典型的住户夜间起床或起夜开门行为。",
    "推理步骤 2: 在 02:13 分客厅运动传感器检测到有人 (Occupancy=1)，紧接着在 02:30 分所有房间（包括入口、卧室、卫生间）的运动传感器均报告无人 (Occupancy=0)，表明住户已离开房屋并锁好门，符合正常的睡眠/离家周期。",
    "推理步骤 3: 后续日志中，从 10:54 开始出现的多次客厅有人检测事件，时间分布均匀（上午、下午、傍晚），符合白天的正常居住活动规律，无异常入侵迹象。"
  ],
  "key_evidence": [
    "02:11 门锁解锁与开门动作后，短时间内 (约 20 分钟) 全屋恢复无人状态。",
    "日间 (10:54 - 21:14) 的 occupancy 变化呈现规律的白天活动模式，无深夜长时间滞留或非法闯入特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议继续保持当前的设备监控策略。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-18T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-18T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-18T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-18T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T06:54:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-18T06:54:08] front_door_lock | DoorLock.LockState = 2
[2026-07-18T06:54:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-18T06:54:11] front_door_lock | DoorLock.LockState = 1
[2026-07-18T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-18T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-07-18T08:26:10] living_room_light | OnOff.OnOff = True
[2026-07-18T12:33:00] living_room_light | OnOff.OnOff = False
[2026-07-18T14:03:20] living_room_light | OnOff.OnOff = True
[2026-07-18T19:30:04] living_room_light | LevelControl.CurrentLevel = 31
[2026-07-18T20:40:00] living_room_light | OnOff.OnOff = False
[2026-07-18T20:43:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-18T20:43:09] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间睡眠、清晨起床及日间活动模式，门锁操作符合预期，未发现入侵或异常行为迹象。",
  "reasoning": [
    "时间线分析：日志始于凌晨 03:00 至 04:00，所有房间（包括玄关、卧室、客厅等）的 Occupancy 均为 0，表明住户处于深度睡眠状态，这是独居老人典型的夜间休息模式。",
    "门锁行为验证：在 04:06-04:11 期间，门锁先解锁后上锁（LockState 2->1），随后在 06:54 和 08:26 分别有明确的 Manual 手动开锁和上锁记录，且伴随玄关/客厅灯光开启，这完全符合老人起床如厕、洗漱并准备出门或开始一天的正常生活流程。",
    "无入侵迹象：在整个监控时段内，虽然门锁被操作过，但从未检测到非授权进入事件（如门打开后长时间有人停留却未触发运动传感器，或门关闭时内部无人）。所有开门动作均紧随室内人员活动（灯光亮起）之后，逻辑自洽。",
    "设备状态正常：Living_room_light 的开关和调光操作与 occupancy 变化（虽日志中 occupancy 多为 0，但结合灯光开启时间点推断为人为控制）一致，烟雾报警器和漏水传感器未在日志中报错，系统运行平稳。"
  ],
  "key_evidence": [
    "04:06-04:11 门锁自动/远程锁定序列与后续 06:54 的手动开门序列形成连贯的‘起夜 - 起床’逻辑。",
    "08:26 开门后立即开启客厅灯 (08:26:10)，符合老人起床后的常规习惯。",
    "全时段各房间 Occupancy 为 0 的时间段与门锁锁定状态吻合，排除了夜间非法闯入的可能性。"
  ],
  "recommended_actions": [
    "继续按当前频率监测，无需立即干预。",
    "建议关注今日剩余时间的活动情况，确保老人按时用餐和就寝。"
  ]
}
```


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_occupancy, living_room_window_contact
- 已选事件数: 46

## 设备事件日志
[2026-07-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-07-01T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-01T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-07-01T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-07-01T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-07-01T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-01T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-01T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-01T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-01T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-01T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-01T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-01T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-01T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-01T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-01T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-07-01T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-01T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-01T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-01T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-01T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-01T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-01T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-01T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-01T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-01T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-01T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-01T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T19:24:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T20:45:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T22:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T23:35:09] living_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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "这些变化仍可视为正常波动。",
  "reasoning": [
    "推理步骤1: 没有看到必须报警的直接证据。"
  ],
  "key_evidence": [
    "设备状态变化幅度看起来仍在可接受范围内。"
  ],
  "recommended_actions": [
    "保持观察即可。"
  ]
}


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_lock, living_room_light_1
- 已选事件数: 24

## 设备事件日志
[2026-08-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-08-17T04:09:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-17T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:17:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T07:17:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

## 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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示的家庭活动模式符合正常的夜间睡眠及次日清晨起床开门的规律，未发现安全威胁。",
  "reasoning": [
    "推理步骤 1: 凌晨 03:00 至 04:00 期间，全屋（包括入户玄关、客厅、卧室等）运动传感器均报告无人 (Occupancy=0)，且入户门锁状态在 04:06-04:09 之间发生了短暂的'解锁->上锁'循环。结合时间判断，这极可能是住户睡前检查门锁或误触后自动/手动重新上锁的正常行为，随后系统进入静默监控状态。",
    "推理步骤 2: 07:17 记录到一次明确的'手动解锁'事件，紧接着在 07:17:33 发生'手动上锁'事件。这一秒级的操作间隔完全符合住户早晨出门前正常关门上锁的行为习惯，且发生在白天非敏感时段。",
    "推理步骤 3: 下午 16:23 和傍晚 18:05 分别记录了两次'手动上锁'事件，对应住户下班回家进门后的正常操作。整个日志序列中，所有设备状态变化均有合理的用户行为解释，未出现入侵迹象（如门被非法打开）、异常停留或设备故障特征。"
  ],
  "key_evidence": [
    "凌晨时段全屋无人员活动，门锁短暂状态波动后立即恢复锁定状态。",
    "早晨 07:17 的解锁与上锁操作时间间隔仅为 6 秒，符合正常出门流程。",
    "全天所有运动传感器读数均为 0 或符合预期的人员进出逻辑，无长时间异常滞留。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，当前系统运行正常。",
    "建议继续保持对入户门锁状态的实时监控，确保下次离家时确认已上锁。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-19T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-19T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-19T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T07:01:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-19T07:01:02] front_door_lock | DoorLock.LockState = 2
[2026-07-19T07:01:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-19T07:01:12] front_door_lock | DoorLock.LockState = 1
[2026-07-19T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-19T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T08:26:12] living_room_light | OnOff.OnOff = True
[2026-07-19T12:37:00] living_room_light | OnOff.OnOff = False
[2026-07-19T13:59:20] living_room_light | OnOff.OnOff = True
[2026-07-19T19:20:10] living_room_light | LevelControl.CurrentLevel = 36
[2026-07-19T20:38:00] living_room_light | OnOff.OnOff = False
[2026-07-19T20:42:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-19T20:42:19] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间休息、清晨起床及日间活动模式，门锁操作符合预期，未发现入侵或异常行为。",
  "reasoning": [
    "推理步骤 1: 分析时间线，03:00-04:00 期间所有房间（包括玄关、卧室、厨房等）的 Occupancy 均为 0，且入户门锁处于锁定状态 (LockState=2)，符合独居老人夜间睡眠的正常作息。",
    "推理步骤 2: 04:06-04:07 出现了一次短暂的锁状态变化 (2->1->2)，随后在 04:09 打开了客厅灯。考虑到此时为凌晨，可能是老人起夜如厕后忘记重新上锁，或者传感器误报有人经过触发了解锁逻辑，但紧接着在 04:30 全屋再次确认无人，且后续直到 07:01 才有明确的开门事件，因此该短暂波动更倾向于偶发的正常干扰或非侵入性事件，未构成持续威胁。",
    "推理步骤 3: 07:01 和 08:26 的门锁操作均伴随明确的 Manual 来源记录，且随后有开灯行为，符合老人起床洗漱、准备出门或开始日常活动的规律；20:42 门锁解锁状态变为 1（未锁定），结合之前关灯的时间点，极有可能是老人睡前将门打开以便进出或通风，属于正常家庭行为。",
    "推理步骤 4: 全程未检测到烟雾报警、漏水报警、灶具异常开启或窗户非法开启等安全设备故障或入侵信号，整体行为模式与独居老人的生活习惯高度一致。"
  ],
  "key_evidence": [
    "03:00-04:00 全屋无人员活动且门锁保持锁定状态。",
    "07:01 和 08:26 的门锁操作均有明确的 Manual 手动操作记录，且后续行为（开灯）符合起床活动逻辑。",
    "未出现任何安全传感器（烟雾、漏水、门窗接触）的异常报警信号。"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议定期回顾 04:06 附近的短暂锁状态波动日志，确认是否为传感器灵敏度设置问题，若频繁发生可调整阈值。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_occupancy, living_room_window_contact
- 已选事件数: 95

## 跨天活动摘要
- 2026-08-15: living_room=198, bedroom=207, bathroom=55, kitchen=14, entrance=3

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T00:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-15T01:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-15T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-15T01:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-08-15T01:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-15T01:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-15T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-15T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-15T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-15T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-15T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-15T01:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2225
[2026-08-15T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-15T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-15T01:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2211
[2026-08-15T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-15T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-15T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-15T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-15T02:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2232
[2026-08-15T02:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-15T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2230
[2026-08-15T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-15T02:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-15T02:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2233
[2026-08-15T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-15T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-15T02:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2235
[2026-08-15T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-15T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-15T02:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2236
[2026-08-15T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-15T02:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-15T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-15T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-15T02:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2249
[2026-08-15T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-15T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T02:31:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-15T02:32:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-15T02:34:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-15T02:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2243
[2026-08-15T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-15T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-15T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-15T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-15T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-15T02:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-15T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-15T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-15T02:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-15T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-15T03:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-15T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-15T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-15T03:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-15T03:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-15T03:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-15T03:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-15T03:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-15T03:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-15T03:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-15T03:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-15T03:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-15T03:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-08-15T03:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-15T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T03:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-15T03:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-15T03:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-15T03:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-15T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-15T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T04:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-15T04:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-15T10:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T13:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T15:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T18:23:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T23:33:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T23:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 短时间内两个不同房间窗户先后打开",
    "推理步骤2: 触发时间位于深夜",
    "推理步骤3: 随后出现室内运动"
  ],
  "key_evidence": [
    "短时间内两个不同房间窗户先后打开",
    "触发时间位于深夜",
    "随后出现室内运动"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "多个窗户传感器短时依次触发",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判定为扫描式入侵尝试，建议重点检查窗户和周边摄像头。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_lock, living_room_light
- 已选事件数: 29

## 设备事件日志
[2026-07-07T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:06:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T04:07:00] front_door_lock | DoorLock.LockState = 1
[2026-07-07T04:09:00] living_room_light | OnOff.OnOff = True
[2026-07-07T04:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T04:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T05:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T07:00:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T07:00:07] front_door_lock | DoorLock.LockState = 2
[2026-07-07T07:00:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-07T07:00:18] front_door_lock | DoorLock.LockState = 1
[2026-07-07T08:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T08:26:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T08:26:17] living_room_light | OnOff.OnOff = True
[2026-07-07T12:30:00] living_room_light | OnOff.OnOff = False
[2026-07-07T13:54:10] living_room_light | OnOff.OnOff = True
[2026-07-07T19:27:09] living_room_light | LevelControl.CurrentLevel = 35
[2026-07-07T20:34:00] living_room_light | OnOff.OnOff = False
[2026-07-07T20:53:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-07T20:53:11] 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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "门锁状态变化但没有对应开门链路",
  "reasoning": [
    "推理步骤1: 门锁状态先解锁再回锁",
    "推理步骤2: 缺乏门磁开关记录",
    "推理步骤3: 却伴随室内灯光变化"
  ],
  "key_evidence": [
    "门锁状态先解锁再回锁",
    "缺乏门磁开关记录",
    "却伴随室内灯光变化"
  ],
  "recommended_actions": [
    "判为异常门锁状态切换，建议核查锁日志与物理门状态。"
  ]
}

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人正常的夜间休息、清晨起床及日间活动模式，未发现入侵或异常行为迹象。",
  "reasoning": [
    "推理步骤 1: 凌晨 04:06-04:07 门锁状态变化（2->1）发生在所有房间运动传感器均报告无人（Occupancy=0）的情况下，且随后在 04:09 客厅灯被打开，这符合老人起夜如厕后返回卧室并锁门的正常生理节律，而非入侵者尝试开门。",
    "推理步骤 2: 早晨 07:00 和 08:26 的门锁操作（解锁->上锁）与随后的灯光开启时间吻合，构成了典型的‘出门 - 关门’或‘回家 - 开灯’的完整闭环，逻辑连贯。",
    "推理步骤 3: 整个时间段内，各房间运动传感器数据与设备动作（灯光开关、窗帘等）的时间序列高度一致，没有检测到未经授权的访问尝试、长时间未响应或设备故障特征。"
  ],
  "key_evidence": [
    "04:06 门锁解锁时，entrance_occupancy 和 living_room_occupancy 均为 0，排除了有人强行闯入的可能。",
    "07:00 和 08:26 的门锁操作紧随其后的灯光开启事件，符合住户主动回家的行为模式。",
    "全时段无烟雾、漏水或其他紧急传感器报警。"
  ],
  "recommended_actions": [
    "继续监控，当前无需干预。",
    "建议定期回顾此类夜间活动日志，以建立更精准的基线模型，区分偶尔的起夜和潜在的异常徘徊。"
  ]
}
```