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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: living_room
- 重点设备: kitchen_smoke_alarm, living_room_smoke_alarm
- 已选事件数: 36

## 跨天活动摘要
- 2026-08-22: living_room=211, bedroom=241, kitchen=240, entrance=230, bathroom=57

## 设备事件日志
[2026-08-22T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-22T08:30:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-22T08:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-22T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-22T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-22T08:50:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-22T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-22T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-22T09:10:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-22T09:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:17:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-08-22T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-22T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-22T09:30:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-22T09:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:37:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:38:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-22T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-22T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-22T09:50:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-22T09:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T09:57:08] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-22T10:00:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True
[2026-08-22T10:01:00] living_room_smoke_alarm | SmokeCoAlarm.TestInProgress = True
[2026-08-22T10:04:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = False
[2026-08-22T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-22T10:08:16] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示烟雾报警器正在进行正常的自检或测试流程，未检测到真实火灾或设备故障风险。",
  "reasoning": [
    "1. 识别关键事件：在 10:00 至 10:05 期间，厨房和客厅的烟雾报警器均报告了 `SmokeCoAlarm.TestInProgress = True` 状态，随后在 10:04/10:05 恢复为 False。这是典型的设备自检（Self-test）或手动测试行为。",
    "2. 排除真实威胁：虽然涉及烟雾报警器，但状态明确标记为 'TestInProgress' 而非 'Alarm' 或 'FireDetected'。且两个不同位置的传感器几乎同时进入测试模式，这符合用户主动发起全屋或区域安全测试的特征，而非随机发生的独立火情。",
    "3. 结合上下文验证：在测试前后（08:30-09:57），室内温度传感器读数稳定在 25.3°C - 25.6°C 之间，无剧烈升温；运动传感器显示住户在多个房间正常活动，无异常静止或跌倒迹象。整体环境参数平稳，进一步佐证了这是一次计划内的维护操作。"
  ],
  "key_evidence": [
    "[2026-08-22T10:00:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-08-22T10:01:00] living_room_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-08-22T10:04:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = False"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议确认该测试是否为老人或其照护者主动发起的日常安全检查，若为误触可忽略。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "intrusion",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是多设备同步自检；异常样本是真实烟雾和互联联动。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ4
- 重点房间: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 107

## 跨天活动摘要
- 2026-08-28: kitchen=13, entrance=232, master_bedroom=228, kids_room=228, dining_room=222, living_room=114

## 设备事件日志
[2026-08-28T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-28T06:52:40] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-28T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-28T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-08-28T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-28T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-28T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-28T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-28T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-28T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-28T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-28T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-28T18:01:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:03:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-28T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-28T18:06:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-28T18:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-28T18:12:00] kitchen_light | OnOff.OnOff = True
[2026-08-28T18:13:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-28T18:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-28T18:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2318
[2026-08-28T18:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-28T18:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-28T18:23:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:23:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-08-28T18:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-28T18:26:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-28T18:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-28T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T18:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-28T18:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-28T18:36:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-28T18:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-28T18:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-28T18:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-28T18:48:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:48:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-28T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-28T18:51:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T18:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-08-28T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-28T18:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-08-28T19:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-08-28T19:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-28T19:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-28T19:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-28T19:06:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:08:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:08:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-28T19:11:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-28T19:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-28T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2284
[2026-08-28T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-28T19:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-08-28T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-28T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2860
[2026-08-28T19:28:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:28:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:28:11] dining_room_light | OnOff.OnOff = True
[2026-08-28T19:29:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-28T19:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-28T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-28T19:31:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:33:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:34:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-28T19:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-28T19:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-28T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2740
[2026-08-28T19:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-28T19:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-08-28T19:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-28T19:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-28T19:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-08-28T19:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-28T19:52:58] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T19:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:53:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-28T19:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2279
[2026-08-28T19:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T19:58:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-28T20:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-28T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T20:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-28T20:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-28T20:06:08] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-28T20:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2257
[2026-08-28T20:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2256
[2026-08-28T20:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-28T20:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T20:18:10] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请综合以下多个设备与环境状态，评估家庭整体安全状况，指出任何潜在风险。

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常余热会逐步回落；异常样本在关火后温度继续上升。"
  ],
  "key_evidence": [
    "正常余热会逐步回落；异常样本在关火后温度继续上升。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在烹饪活动期间出现严重数据漂移和间歇性失效，导致无法准确监测火灾风险。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-08-28T19:00:00 厨房灶具 (kitchen_cook_surface) 被开启，随后洗碗机启动，表明厨房正在进行正常的烹饪活动。",
    "推理步骤 2: 在此期间，厨房温度传感器 (kitchen_temp_sensor) 的读数表现出极不稳定的异常模式：数值在正常范围（约 22°C）与极高值（如 2860、2740，远超物理可能的室温或炉灶表面温度）之间剧烈跳变，且伴随多次返回 None（无数据）。",
    "推理步骤 3: 这种剧烈的数值漂移（Drift）和间歇性丢失（Malfunction）并非真实的火灾升温曲线（真实升温通常是持续且平滑的），而是典型的传感器故障或通信干扰特征。由于该传感器负责监测厨房这一高风险区域，其失效直接导致了火灾预警能力的丧失，构成了潜在的安全威胁。"
  ],
  "key_evidence": [
    "2026-08-28T19:25:00 kitchen_temp_sensor 报告 MeasuredValue = 2860 (异常高值)",
    "2026-08-28T19:35:00 kitchen_temp_sensor 报告 MeasuredValue = 2740 (异常高值)",
    "2026-08-28T18:13:00 及 2026-08-28T19:29:00 kitchen_temp_sensor 报告 MeasuredValue = None (数据丢失)"
  ],
  "recommended_actions": [
    "立即检查并更换厨房温度传感器，或重启该设备以排除临时通信故障。",
    "在修复前，建议人工定期检查厨房是否有烟雾或异味，因为自动报警功能已不可靠。",
    "检查 Matter 网络在该时间段是否存在连接不稳定或数据包丢失的情况。"
  ]
}
```


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 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]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 36

## 设备事件日志
[2026-07-04T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T06:44:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T06:46:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:02:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-04T07:02:13] front_door_contact | BooleanState.StateValue = True
[2026-07-04T07:07:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T07:27:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T11:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T11:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:00:04] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T12:06:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:11:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:24:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T12:26:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:36:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:40:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000
[2026-07-04T12:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T12:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T13:00:04] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T18:07:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:12:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:18:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:37:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-04T18:43:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:52:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T18:57:12] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T19:08:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-04T19:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在多个时间点持续触发报警，表明存在持续的漏水风险。",
  "reasoning": [
    "1. 识别核心异常：日志中 `bathroom_water_leak` 设备在 07:10、12:25 和 18:40 三个不同时间段均报告了 `BooleanState.StateValue = True`（即检测到水/漏水）。",
    "2. 排除误报可能性：虽然独居老人可能因洗澡或清洁导致短暂潮湿，但漏水传感器通常设计为检测积水而非瞬时湿度。三次触发间隔较长（早晨、中午、傍晚），且未伴随明显的“干燥”恢复信号（日志中未显示 StateValue=False 的记录，暗示状态可能保持或反复触发），这更符合管道破裂、马桶水箱故障或地漏堵塞导致的持续漏水特征，而非正常用水行为。",
    "3. 结合住户背景评估风险：住户为独居老人，若发生漏水可能导致地面湿滑引发跌倒风险，或长期积水损坏房屋结构。鉴于这是重点关注的训练片段且多次触发，应视为真实的安全威胁进行处理。"
  ],
  "key_evidence": [
    "[2026-07-04T07:10:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-04T12:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-04T18:40:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向住户或其紧急联系人发送漏水警报通知。",
    "建议远程检查卫生间智能阀门（如有）是否可自动关闭水源，或指导住户手动关闭角阀。",
    "安排人员上门检查卫生间水管、马桶及地漏状况，确认漏水源头并进行维修。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "漏水传感器间歇性触发",
  "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": [
    "标记为隐蔽性漏水，建议检查管道和地漏。"
  ]
}


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 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 18

## 跨天活动摘要
- 2026-07-20: bathroom=58, bedroom=219, living_room=109, entrance=14, kitchen=8

## 设备事件日志
[2026-07-20T13:51:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:21:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:22:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T14:42:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T14:51:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:02:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-20T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-20T15:21:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:22:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-20T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T15:42:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T15:51:47] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T16:02:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且卫生间内无人员活动迹象，疑似发生水管破裂或水龙头未关等漏水事故。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05、15:15 和 15:25，bathroom_water_leak 设备的 BooleanState.StateValue 均为 True，表明漏水传感器连续三次检测到水浸状态，排除了瞬时误报的可能性。",
    "2. 排除人为因素（正常用水）：在漏水报警的时间窗口内（15:05-15:25），bathroom_occupancy 传感器始终显示为 0（无人）。通常住户在卫生间用水时会有短暂停留，长时间无人却持续漏水极不符合正常洗漱习惯。",
    "3. 结合环境背景：虽然卧室和客厅有人员活动，但卫生间作为独立空间，其漏水状态与居住者位置分离，增加了突发故障（如管道爆裂、马桶水箱故障）导致水资源浪费甚至地板损坏的风险。"
  ],
  "key_evidence": [
    "[2026-07-20T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-20T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-20T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-20T15:05:00 - 15:25:00] bathroom_occupancy | OccupancySensing.Occupancy = 0 (全程无人)"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向用户发送高优先级推送通知，告知卫生间漏水警报。",
    "若系统支持，自动关闭卫生间进水阀门（如有智能角阀）以切断水源，防止损失扩大。",
    "建议用户尽快回家检查卫生间地面及洁具状况，确认是否为设备故障或真实漏水。"
  ]
}
```

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

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

## 设备事件日志
[2026-08-14T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T06:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:01:07] kitchen_light | OnOff.OnOff = True
[2026-08-14T07:10:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-14T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-14T07:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T07:36:25] front_door_lock | DoorLock.LockState = 2
[2026-08-14T07:36:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-14T11:51:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-14T12:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T12:36:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:56:28] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T18:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:10:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:15:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T18:33:00] kitchen_light | OnOff.OnOff = True
[2026-08-14T18:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-14T18:40:05] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:50:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T18:54:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-14T19:00:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T19:05:05] 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。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在多个时间点持续触发报警，表明存在持续的漏水风险。",
  "reasoning": [
    "检测到 bathroom_water_leak 设备在 07:10、12:25 和 18:40 三个不同时间段均报告了 BooleanState.StateValue = True（即检测到水/泄漏）。",
    "漏水事件并非孤立发生，而是呈现重复性模式，且发生在住户可能在家或刚离开卫生间的时段（如早晨洗漱后、中午休息前、傍晚回家后），增加了因管道破裂、水龙头未关或地漏堵塞导致积水的可能性。",
    "虽然日志中未直接显示自动关闭阀门的动作，但多次触发意味着隐患未被彻底解决，若不及时排查可能导致地板损坏、霉菌滋生或电路短路等次生灾害。"
  ],
  "key_evidence": [
    "[2026-08-14T07:10:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-14T12:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-14T18:40:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即检查卫生间地面是否有积水，确认水源是否来自马桶、洗手台或淋浴区。",
    "检查卫生间角阀、软管及地漏是否正常，排除管道老化或堵塞问题。",
    "若无法自行解决，建议联系专业水管工进行检修，并考虑安装智能水阀以在检测到泄漏时自动切断水源。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 22

## 跨天活动摘要
- 2026-07-29: balcony=3, entrance=232, bathroom=223, living_room=110, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-07-29T15:15:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T15:30:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T15:50:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-29T16:00:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:20:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T16:30:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-29T16:50:14] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-29T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T17:00:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-29T17:20:06] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T17:30:14] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器触发报警，且此时卫生间内有人（ occupancy=1），存在积水风险。",
  "reasoning": [
    "检测到关键安全设备 'bathroom_water_leak' 在 17:02:00 状态变为 True (BooleanState.StateValue = True)，这直接表明传感器检测到了水分/泄漏。",
    "结合时间线分析，在漏水报警前一刻 (17:00:06) 和报警后 (17:20:06)，卫生间运动传感器 ('bathroom_occupancy') 均显示为 1 (OccupancySensing.Occupancy = 1)，说明住户当时正在卫生间内。",
    "虽然住户在场可能意味着能及时发现并处理，但漏水本身属于需要立即干预的物理异常，可能导致地板损坏、滑倒或电路短路等次生灾害，因此判定为真实威胁而非误报。"
  ],
  "key_evidence": [
    "[2026-07-29T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-29T17:00:06] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-07-29T17:20:06] bathroom_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "recommended_actions": [
    "立即通过智能家居APP推送高优先级通知给住户，提醒检查卫生间漏水情况。",
    "建议住户前往卫生间确认水源（如马桶、洗手台或地漏），并关闭相关水阀以停止漏水。",
    "若无法远程确认或住户未响应，建议联系紧急联系人或物业进行核查。"
  ]
}
```

{
  "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 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]
- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]
- 房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]
- 房间 kids_room: 儿童房灯[dimmable_light], 儿童房运动传感器[occupancy_sensor], 儿童房窗帘[window_covering], 儿童房窗户传感器[contact_sensor], 儿童房温度传感器[temperature_sensor]
- 房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房窗户传感器[contact_sensor], 洗碗机[dishwasher], 厨房漏水传感器[water_leak_detector]
- 房间 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: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 26

## 设备事件日志
[2026-08-06T15:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T15:32:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:34:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:52:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T15:59:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-06T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-06T16:01:00] front_door_lock | DoorLock.LockState = 2
[2026-08-06T16:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:22:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:26:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-06T16:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:52:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:56:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-06T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True
[2026-08-06T17:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T17:21:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T17:22:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-06T17:26:07] kids_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。

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫漏水传感器检测到水渍，表明可能存在水管破裂、水龙头未关或地漏溢水等漏水情况。",
  "reasoning": [
    "1. 识别关键异常事件：日志中在 [2026-08-06T17:02:00] 记录到 'master_bathroom_water_leak | BooleanState.StateValue = True'。根据 Matter 协议及常规智能家居逻辑，漏水传感器的布尔状态为 True 通常表示检测到液体（即报警/触发状态）。",
    "2. 排除误报可能性：虽然同一时间段内存在大量 occupancy_sensor 的活动（如 entrance, dining_room, kids_room 等频繁触发），但这属于正常的家庭人员活动模式，与卫生间漏水无直接因果关联。没有证据表明是传感器故障（sensor_stuck）导致的持续误报，因为这是单次触发的快照日志。",
    "3. 风险评估：卫生间是家中用水密集区域，漏水若不及时处置，可能导致地板浸泡、电路短路或邻里纠纷。结合重点设备监控列表中包含 'master_bathroom_water_leak'，系统对该风险有明确关注，因此确认为真实的安全威胁。"
  ],
  "key_evidence": [
    "[2026-08-06T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "重点房间 balcony 和 master_bathroom 被标记为重点监控区域，且 master_bathroom_water_leak 在已选日志说明中被列为重点设备"
  ],
  "recommended_actions": [
    "立即通过手机 App 推送通知提醒住户检查主卧卫生间是否有积水或水源泄漏。",
    "建议住户远程查看主卫摄像头（如有）确认现场情况，并手动关闭该区域的水阀（如果安装了智能水阀）。"
  ]
}
```

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


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 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]
- 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: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 48

## 跨天活动摘要
- 2026-07-01: bathroom=64, bedroom=244, kitchen=238, entrance=230, living_room=209

## 设备事件日志
[2026-07-01T05:45:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T06:25:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T06:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T06:50:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:03:02] front_door_lock | DoorLock.LockState = 2
[2026-07-01T07:03:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-01T07:08:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T07:10:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:28:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T07:36:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:45:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T07:53:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T08:06:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T11:41:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T11:46:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T11:54:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T11:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:06:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:19:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T12:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:31:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:36:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T12:39:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:52:10] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T12:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T13:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T13:06:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T17:36:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T17:56:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:06:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-01T18:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:19:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:21:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:26:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:34:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-01T18:44:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:46:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T18:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T19:04:16] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-01T19:06:00] kitchen_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在多个时间点持续触发报警，表明存在持续的漏水风险或设备故障。",
  "reasoning": [
    "1. 识别关键异常事件：日志中明确记录了三次 `bathroom_water_leak` (BooleanState.StateValue = True) 事件，分别发生在 07:10:00、12:25:00 和 18:40:00。",
    "2. 分析时间模式与住户行为关联：独居老人通常在早晨（07:00-08:00）使用卫生间洗漱，中午（12:00-13:00）可能进行清洁或再次如厕，傍晚（18:00-19:00）可能有晚间洗漱活动。这三次漏水报警的时间点与老人的日常作息高度吻合，暗示漏水可能与用水行为（如洗手、洗澡后未关紧水龙头、地漏堵塞溢水等）有关。",
    "3. 排除误报可能性：虽然传感器可能存在漂移或故障（sensor_malfunction），但在没有更多历史数据确认其为“假阳性”的情况下，必须优先视为真实的物理泄漏威胁，特别是考虑到独居老人可能无法及时发现并处理积水导致的滑倒风险或房屋损坏。",
    "4. 综合评估：连续多次触发同一区域的漏水警报，且伴随该区域 occupancy 传感器的活跃记录（如 07:06-07:08 在卫生间，12:36 离开卫生间），强烈指向卫生间存在实际的水源泄漏问题。"
  ],
  "key_evidence": [
    "[2026-07-01T07:10:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-01T12:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-01T18:40:00] bathroom_water_leak | BooleanState.StateValue = True",
    "住户为独居老人，对突发状况的应对能力较弱，需立即干预以防次生灾害（如滑倒）。"
  ],
  "recommended_actions": [
    "1. 立即通知紧急联系人或护理人员前往现场查看卫生间情况，确认是否有明显积水或管道破裂。",
    "2. 若确认为真实漏水，指导住户或人员关闭总水阀，并清理积水以防滑倒。",
    "3. 检查漏水传感器是否被水滴覆盖或安装位置不当，以排除因传感器故障导致的误报；若传感器正常，则需联系物业维修水管。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "low",
  "threat_type": "intrusion",
  "threat_description": "存在异常，但原因更可能属于其他类别。",
  "reasoning": [
    "推理步骤1: 日志里有异常，但我把它归因为另一类威胁。"
  ],
  "key_evidence": [
    "同一传感器多次间歇性报漏水"
  ],
  "recommended_actions": [
    "建议按该错误类别处理。"
  ]
}


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 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]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 18

## 设备事件日志
[2026-08-26T14:03:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T14:31:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:33:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:33:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T14:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:51:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:53:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T14:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:03:49] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-26T15:11:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:13:08] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-26T15:25:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且住户长时间未出现在卫生间内，存在严重漏水风险。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05、15:15 和 15:25 三个时间点，bathroom_water_leak 传感器连续上报 StateValue = True（漏水状态），表明卫生间地面或管道存在持续的水源泄漏。",
    "2. 结合人员活动分析异常性：根据 occupancy_sensor 日志，住户在 14:33:49 离开卫生间后，直到 15:25 之后均无进入卫生间的记录（其他房间如厨房、卧室、客厅有活动，但卫生间始终为 Occupancy=0）。",
    "3. 判定为高风险场景：对于独居老人而言，若发生漏水却长时间未察觉或未处理，可能导致地板浸泡、电路短路或滑倒等次生灾害。传感器持续报警而无人响应，符合‘未attended’的漏水事故特征。"
  ],
  "key_evidence": [
    "bathroom_water_leak 在 15:05, 15:15, 15:25 连续三次触发 (StateValue=True)",
    "bathroom_occupancy 自 14:33:49 起持续为 0，期间无人员进入卫生间"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向住户或其紧急联系人发送最高优先级警报，提示卫生间漏水。",
    "若系统支持，自动关闭入户总水阀以切断水源，防止损失扩大。",
    "建议检查卫生间是否有可见积水或管道破裂迹象，并安排维修人员上门检修。"
  ]
}
```

{
  "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 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

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

## 设备事件日志
[2026-07-17T14:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:31:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:36:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:01:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:31:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:36:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T16:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且长时间无人进入卫生间，极大概率发生真实漏水事故。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05、15:15 和 15:25，bathroom_water_leak 传感器连续三次报告 StateValue = True（通常表示检测到水/泄漏），表明漏水状态持续存在而非瞬时误报。",
    "2. 排除人为活动干扰：在漏水报警的时间窗口内（15:05 - 16:06），bathroom_occupancy 传感器始终报告 Occupancy = 0（无人）。这意味着没有住户在卫生间进行洗漱等正常用水活动，排除了因洗澡或洗手导致的正常水位波动。",
    "3. 综合判断风险：结合“有人才用水”的常理与“无人却持续漏水”的状态，判定为管道破裂、马桶水箱故障或地漏反溢等真实漏水事件，存在损坏地板家具及引发触电的风险。"
  ],
  "key_evidence": [
    "[2026-07-17T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-17T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-17T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-17T15:06:38] bathroom_occupancy | OccupancySensing.Occupancy = 0 (持续至16:06)"
  ],
  "recommended_actions": [
    "立即通过智能家居App远程关闭卫生间进水阀门（如有智能角阀）或通知住户回家处理。",
    "检查卫生间地面是否有积水，确认漏水源头（如马桶、洗手盆下方管道）。",
    "若无法远程操作，建议联系物业或紧急维修人员上门排查。"
  ]
}
```

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


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 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]
- 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: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 37

## 设备事件日志
[2026-08-02T06:24:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T06:35:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T06:53:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T07:04:06] front_door_lock | DoorLock.LockState = 2
[2026-08-02T07:04:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-02T07:10:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-02T07:13:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:29:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T07:38:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T07:54:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T11:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:06:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:14:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:19:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:24:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-02T12:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-02T12:31:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:46:06] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T12:54:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:14:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:17:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:24:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:39:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:40:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-02T18:42:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:04:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:07:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-02T19:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器在多个时间点持续触发报警，表明存在持续的漏水风险或设备故障。",
  "reasoning": [
    "1. 识别核心异常：日志中 `bathroom_water_leak` 设备在 07:10:00、12:25:00 和 18:40:00 三个时间点均报告 `BooleanState.StateValue = True`（即检测到水/漏水）。",
    "2. 排除误报可能性：虽然独居老人可能因洗澡导致短暂潮湿，但漏水传感器通常安装在马桶后方或洗手台下方等固定位置。短时间内多次触发且间隔较长（早晨、中午、傍晚），不太可能是单次洗澡后的残留水汽，更倾向于管道破裂、马桶水箱漏水或地漏反溢等持续性泄漏。",
    "3. 结合住户情况评估风险：住户为独居老人，若发生漏水未能及时发现，可能导致地板湿滑引发跌倒风险，或造成房屋财产损失。特别是 12:25 和 18:40 的触发，此时老人可能在其他房间活动，容易忽略卫生间的细微声响或迹象。"
  ],
  "key_evidence": [
    "[2026-08-02T07:10:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-02T12:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-02T18:40:00] bathroom_water_leak | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即通知家属或紧急联系人，确认家中是否有人能前往卫生间检查漏水源头。",
    "建议远程查看卫生间摄像头（如有）或要求住户通过语音助手确认卫生间状况。",
    "若确认为漏水，指导住户关闭入户总水阀以止损，并联系维修人员。",
    "检查漏水传感器是否被误触或需要校准，但在未排除物理漏水前，优先按真实漏水处理。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 20

## 跨天活动摘要
- 2026-08-09: balcony=3, living_room=194, bathroom=59, entrance=51, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-09T15:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T15:24:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T15:54:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T16:18:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:24:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-09T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-09T17:02:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器触发报警，检测到疑似漏水情况。",
  "reasoning": [
    "1. 核心证据：日志显示在 2026-08-09T17:02:00，bathroom_water_leak 设备的 BooleanState.StateValue 变为 True。在智能家居安全逻辑中，漏水传感器状态为 True 通常表示检测到水分/泄漏，这是一个明确的安全威胁信号。",
    "2. 排除误报可能性：虽然阳台门在稍早时间（16:58）被打开，但阳台与卫生间物理隔离，且洗衣机已在 16:45 停止运行（OperationalState=0），因此阳台门的开启或洗衣机的历史活动不太可能导致卫生间内部立即发生严重漏水并触发传感器。",
    "3. 环境背景分析：此时段客厅有人活动（Occupancy=1），说明家中有人，能够及时响应漏水事件。漏水可能源于管道破裂、水龙头未关或地漏反水，属于需要立即干预的潜在财产损失风险。"
  ],
  "key_evidence": [
    "[2026-08-09T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0 (排除洗衣机持续漏水导致蔓延至卫生间的直接关联)"
  ],
  "recommended_actions": [
    "立即通过手机App查看卫生间摄像头（如有）或联系在家人员确认现场情况。",
    "若确认为漏水，建议远程关闭入户总水阀（如果已集成智能阀门），并通知住户检查卫生间水管、角阀及地漏状况。"
  ]
}
```

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


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 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]
- 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: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 23

## 跨天活动摘要
- 2026-07-17: bathroom=62, bedroom=242, kitchen=240, entrance=230, living_room=208

## 设备事件日志
[2026-07-17T13:53:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:23:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T14:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:41:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:41:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:42:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:44:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T14:53:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:01:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:01:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:02:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:04:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-07-17T15:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:23:26] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T15:24:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-17T15:25:00] bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且住户长时间未出现在卫生间或采取任何措施，存在严重漏水风险。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05、15:15 和 15:25，卫生间漏水传感器（bathroom_water_leak）连续三次上报 'StateValue = True'，表明传感器检测到水迹或持续处于潮湿状态。",
    "2. 排除误报可能性：虽然 14:23 和 15:23 卫生间 occupancy 为 0（无人），但在 15:05 报警时，其他房间（卧室、客厅、厨房、玄关）均有人员活动迹象，说明老人并未离开家，只是未在卫生间内。如果是因为洗澡导致的短暂潮湿，通常会在短时间内消失；但报警持续了至少 20 分钟（15:05-15:25+），这不符合正常洗漱后的自然干燥过程。",
    "3. 风险评估：对于独居老人，持续的漏水可能导致地板湿滑引发摔倒风险，或者造成房屋结构/家具损坏。由于老人在家中其他区域活动，可能未察觉卫生间内的漏水情况，或者因行动不便无法及时关闭水源/清理积水。"
  ],
  "key_evidence": [
    "[2026-07-17T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-17T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-17T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "其他房间（bedroom, living_room, kitchen, entrance）在报警期间均有 Occupancy=1 的记录，证明住户在家但未处理卫生间状况。"
  ],
  "recommended_actions": [
    "立即通过智能家居系统向用户或其紧急联系人发送高优先级警报，提示卫生间漏水。",
    "建议远程检查卫生间摄像头（如有）或联系社区服务人员上门查看实际情况，确认是否发生管道破裂或水龙头未关。",
    "若确认为误报（如清洁用水），请指导用户手动复位传感器并检查地面排水情况。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 25

## 跨天活动摘要
- 2026-08-01: balcony=3, master_bathroom=49, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-01T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T15:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-01T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-01T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-01T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫生间漏水传感器触发报警，表明该区域存在积水或漏水风险。",
  "reasoning": [
    "1. 核心异常识别：日志显示在 2026-08-01T17:02:00，master_bathroom_water_leak 设备的 BooleanState.StateValue 变为 True。在智能家居安全逻辑中，漏水传感器触发通常意味着检测到水分，属于紧急安全事件。",
    "2. 排除误报与关联分析：虽然同一时间段（16:58）阳台门被打开，但这与主卫漏水无直接物理关联。同时，所有房间的运动传感器在 15:30 至 16:30 期间均为 0（无人），但在 16:45 洗衣机停止工作后，并未立即出现人员活动记录（可能是传感器延迟或未包含在片段中，或者人就在主卫但未触发运动传感器，亦或传感器故障）。然而，无论是否有人，漏水传感器的触发本身就是最高优先级的警报。",
    "3. 风险评估：主卫生间是家中用水频繁的区域，漏水可能导致地板损坏、电路短路或邻里纠纷。即使没有观察到明显的水流声音或视频证据，传感器触发必须被视为真实威胁处理，直到被人工确认排除。"
  ],
  "key_evidence": [
    "[2026-08-01T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "此前时刻 (16:45) 阳台洗衣机已停止运行，且主卫附近无其他明显用水设备状态变化日志，增加了突发漏水的嫌疑。"
  ],
  "recommended_actions": [
    "立即通过手机 App 推送通知提醒住户检查主卫生间是否有漏水情况。",
    "建议住户远程查看主卫生间摄像头（如果有）或前往现场确认水源，并关闭总水阀以防万一。",
    "若确认为误报（如清洁用水导致），请重置传感器；若为真漏水，请联系维修人员。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "洗衣结束后延迟出现漏水",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "按排水系统异常处理，建议检查洗衣机和排水管。"
  ]
}


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 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]
- 房间 living_room: 客厅主灯[dimmable_light], 客厅台灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: bathroom
- 重点设备: bathroom_water_leak
- 已选事件数: 17

## 跨天活动摘要
- 2026-08-27: bathroom=55, living_room=112, bedroom=66, entrance=14, kitchen=8

## 设备事件日志
[2026-08-27T13:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:17:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:46:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:05:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T15:15:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T15:16:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:17:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:25:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-27T15:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:46:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T15:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:17:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T16:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间漏水传感器持续触发报警，且长时间无人员活动迹象，存在严重漏水风险。",
  "reasoning": [
    "1. 检测到关键安全事件：在 15:05、15:15 和 15:25，bathroom_water_leak 设备的 BooleanState.StateValue 均为 True，表明传感器检测到水迹或泄漏状态持续存在。",
    "2. 排除误报/正常用水：通常正常洗漱后，漏水传感器会在短时间内恢复常态（False）。此处连续三次上报 True，间隔约 10-20 分钟，暗示泄漏源未关闭或积水未排干。",
    "3. 结合 occupancy 数据分析异常模式：在漏水报警期间（15:05 - 16:47），bathroom_occupancy 始终为 0（无人）。虽然这可能是因为住户离开卫生间，但结合“一室一厅”的布局，若住户在客厅（living_room）有活动（日志显示 living_room 全天活跃度高），则说明住户可能并未在卫生间处理漏水问题，或者住户不在家。",
    "4. 风险评估：卫生间是家中主要用水区域，持续漏水可能导致地板损坏、电路短路或邻里纠纷。由于长时间无人干预（Occupancy=0），属于需要立即响应的安全隐患。"
  ],
  "key_evidence": [
    "[2026-08-27T15:05:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-27T15:15:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-27T15:25:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-27T15:05:00 - 16:47:21] bathroom_occupancy | OccupancySensing.Occupancy = 0 (持续无人)"
  ],
  "recommended_actions": [
    "立即通过智能家居 App 远程查看卫生间摄像头（如有）或联系住户确认现场情况。",
    "若确认为漏水，建议自动或手动关闭入户总水阀（如果已集成智能阀门），并通知住户前往检查水管、水龙头或地漏状况。",
    "检查漏水传感器是否因冷凝水或清洁导致误报，但在未确认前应按真实漏水处理。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, master_bathroom_water_leak
- 已选事件数: 28

## 跨天活动摘要
- 2026-07-27: balcony=3, entrance=230, kids_room=228, master_bedroom=227, dining_room=223, living_room=113

## 设备事件日志
[2026-07-27T15:15:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:18:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:19:42] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T15:22:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:24:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T15:42:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:44:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:50:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T15:53:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-27T16:10:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:13:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:19:42] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T16:22:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:24:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:30:00] front_door_lock | DoorLock.LockState = 2
[2026-07-27T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T16:30:09] kids_room_light | OnOff.OnOff = True
[2026-07-27T16:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:44:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-07-27T16:50:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:53:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-27T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-07-27T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-27T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "主卫生间漏水传感器触发报警，表明该区域可能存在水管破裂、设备泄漏或积水情况。",
  "reasoning": [
    "1. 核心证据：日志显示在 2026-07-27T17:02:00，master_bathroom_water_leak 设备的 BooleanState.StateValue 变为 True（通常代表检测到水/湿度异常）。这是直接的安全威胁信号。",
    "2. 排除误报可能性：虽然阳台门在稍早时间（16:58）打开，但主卫位于室内，且没有证据表明雨水通过门窗大量涌入导致误报（通常雨水入侵会伴随窗户传感器状态变化或其他房间的水浸迹象，此处仅主卫触发）。",
    "3. 结合上下文：此时段（17:00左右）客厅 occupancy 为 0，暗示家中可能无人或人员未在客厅活动，若主卫发生漏水而无人察觉，可能导致地板损坏或电路短路等次生灾害，因此需要立即响应。"
  ],
  "key_evidence": [
    "[2026-07-27T17:02:00] master_bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-07-27T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 (提示可能无人值守)"
  ],
  "recommended_actions": [
    "1. 立即推送高优先级通知给住户，确认主卫生间是否有漏水现象。",
    "2. 建议住户远程查看主卫监控（如有），或联系家人/物业前往现场关闭水源并清理积水。",
    "3. 检查主卫附近的水阀和电器安全，防止漏电风险。"
  ]
}
```

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, bathroom_water_leak
- 已选事件数: 16

## 设备事件日志
[2026-08-09T15:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T15:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T15:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:00:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T16:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:45:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T16:45:00] balcony_laundry_washer | OperationalState.OperationalState = 0
[2026-08-09T16:58:00] balcony_door_contact | BooleanState.StateValue = True
[2026-08-09T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:02:00] bathroom_water_leak | BooleanState.StateValue = True
[2026-08-09T17:05:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T17:25:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "water_leak",
  "threat_description": "卫生间检测到漏水，且阳台门处于开启状态，洗衣机刚结束工作，存在因门窗未关或设备故障导致的水损风险。",
  "reasoning": [
    "1. 识别核心异常事件：日志显示在 17:02:00，bathroom_water_leak (卫生间漏水传感器) 触发报警 (StateValue = True)。这是明确的安全威胁信号。",
    "2. 关联上下文分析：在漏水发生前约 43 分钟 (16:58:00)，balcony_door_contact (阳台门传感器) 显示为 True (通常表示门被打开或未关闭)。同时，洗衣机在 16:00-16:45 期间运行完毕。虽然洗衣机位于阳台，但漏水发生在卫生间，这可能意味着水是从阳台溢出/泄漏至卫生间，或者卫生间内部管道/设备本身出现问题。",
    "3. 排除误报可能性：此时段 (17:00左右) 客厅有人员活动 (Occupancy=1)，说明家中有人，并非无人值守导致的长期隐患未被发现。漏水传感器的触发是即时性的物理状态变化，结合阳台门开启的状态，增加了外部雨水进入或室内水流扩散的可能性，属于需要立即干预的真实威胁。"
  ],
  "key_evidence": [
    "[2026-08-09T17:02:00] bathroom_water_leak | BooleanState.StateValue = True",
    "[2026-08-09T16:58:00] balcony_door_contact | BooleanState.StateValue = True"
  ],
  "recommended_actions": [
    "立即检查卫生间地面及排水设施，确认漏水源头（如水管破裂、地漏堵塞或从阳台渗入）。",
    "检查阳台门是否已关闭，并查看阳台洗衣机周围是否有积水，防止水进一步蔓延至室内其他区域。",
    "若漏水持续，请关闭家庭总水阀以止损，并联系物业或维修人员检修。"
  ]
}
```

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