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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 96

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

## 设备事件日志
[2026-08-09T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-09T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-09T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-09T16:30:00] living_room_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] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-09T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-09T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-09T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-09T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-09T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-09T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-09T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-09T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-09T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-09T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-09T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-09T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-09T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-09T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-09T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-09T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-09T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-09T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-09T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-09T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-09T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-09T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-09T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-09T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-09T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-09T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-09T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-09T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-09T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-09T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-09T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-09T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-09T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-09T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-09T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-09T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-09T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-09T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-09T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-09T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-09T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-09T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-09T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-09T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-09T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-09T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-09T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-09T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-09T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-09T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-09T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-09T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-09T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-09T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-09T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-09T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-09T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-09T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-09T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-09T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-09T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-09T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常行为，日志显示为正常的家庭环境监控数据及一次常规的阳台洗衣活动。",
  "reasoning": [
    "1.  occupancy传感器持续报告为0：从16:30到18:10，所有房间（客厅、主卧、次卧、卫生间、玄关）的运动传感器均保持Occupancy=0状态。这表明在观察的时间窗口内，家中无人活动，或者住户处于静止状态且未触发传感器。考虑到这是筛选出的“关键设备”日志片段，这种持续的无活动状态本身并不构成威胁，而是反映了当前的静态场景。",
    "2.  温度数据正常波动：各房间温度传感器读数在2312mK至2389mK之间波动（即约23.1°C - 23.9°C），变化幅度小且符合室内环境温度随时间自然变化的规律，未发现因火灾、设备故障或极端天气导致的异常温升或骤降。",
    "3.  阳台活动逻辑自洽：在17:20，阳台门传感器状态变为False（通常表示关闭/锁定，取决于具体实现，但结合上下文更可能是指门被操作或状态更新），紧接着阳台灯开启（OnOff=True），随后洗衣机启动（OperationalState=1）。这一序列（开门/检查 -> 开灯 -> 启动洗衣机）符合用户进行日常家务活动的正常行为模式。",
    "4.  无入侵迹象：入户门锁和门窗传感器在提供的日志片段中未报告异常开启或非法访问事件。虽然阳台门有状态变化，但伴随的是合法的家电操作，而非典型的入侵路径（如深夜强行破门）。"
  ],
  "key_evidence": [
    "所有occupancy_sensor在16:30-18:10期间持续返回Occupancy=0",
    "17:20 balcony_door_contact状态变更，紧随其后是balcony_light开启和laundry_washer启动",
    "各房间温度传感器数值稳定在23°C左右，无剧烈波动"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议确认阳台门传感器状态定义（True/False对应Open/Closed）是否与业务逻辑一致，以确保后续自动化规则准确触发。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 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, balcony_light
- 已选事件数: 19

## 设备事件日志
[2026-08-17T16:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:45:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:47:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T16:52:45] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:05:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:07:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-17T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-17T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-17T17:22:45] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T17:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:25:07] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T17:27:08] dining_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "阳台门关闭、灯光开启及洗衣机启动符合正常的居家生活行为模式，未检测到安全风险。",
  "reasoning": [
    "1. 分析重点设备状态：在 17:20:00，阳台门传感器显示为 False（通常代表关闭/锁定），同时阳台灯开启。这通常是住户进入阳台或准备使用阳台设施时的正常操作，或者自动化场景触发。",
    "2. 分析关键动作序列：紧接着在 17:21:00，阳台洗衣机启动（OperationalState = 1）。结合阳台门关闭和灯亮，这表明有人正在阳台上操作洗衣机，这是一个非常连贯且合理的日常家务行为。",
    "3. 排除异常迹象：日志中未出现门锁被非法撬动、烟雾报警、漏水检测或长时间无人居住后的突然活动。运动传感器在前后时间段内持续有活动记录（如 entrance, kids_room 等），表明家中有人活动，并非空屋入侵。",
    "4. 综合判断：所有事件均发生在傍晚时段（16:45-17:27），符合下班回家或傍晚做家务的时间规律，无逻辑冲突或危险信号。"
  ],
  "key_evidence": [
    "[2026-08-17T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门关闭)",
    "[2026-08-17T17:20:00] balcony_light | OnOff.OnOff = True (灯开启)",
    "[2026-08-17T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "可继续监控洗衣机运行状态以确保其正常结束，防止因故障导致的水浸风险（虽当前无泄漏报告）。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 27

## 设备事件日志
[2026-07-31T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:27:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:29:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:47:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:47:43] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T07:49:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:50:00] dining_room_light | OnOff.OnOff = False
[2026-07-31T07:50:03] kitchen_light | OnOff.OnOff = False
[2026-07-31T07:50:06] master_bedroom_light | OnOff.OnOff = False
[2026-07-31T07:50:11] kids_room_light | OnOff.OnOff = False
[2026-07-31T07:50:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-31T07:50:16] front_door_lock | DoorLock.LockState = 2
[2026-07-31T07:50:18] front_door_contact | BooleanState.StateValue = False
[2026-07-31T07:50:19] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T07:50:26] front_door_contact | BooleanState.StateValue = True
[2026-07-31T07:50:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-31T07:50:27] front_door_lock | DoorLock.LockState = 1
[2026-07-31T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-31T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-31T08:03:00] front_door_lock | DoorLock.LockState = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到住户正常离家出门行为，门锁状态变化符合逻辑，无安全风险。",
  "reasoning": [
    "1. 分析时间线与人员活动：07:27-07:49期间，主卧、餐厅、儿童房等区域有 occupancy 活动，表明住户正在家中进行晨间活动（如起床、洗漱、准备早餐）。",
    "2. 分析关键设备动作序列：07:50左右，多个房间灯光关闭（dining_room_light, kitchen_light, master_bedroom_light, kids_room_light），这通常是住户离开前统一关灯或自动化场景触发的迹象。",
    "3. 分析入户门交互：07:50:16 门锁执行手动解锁操作（LockState=2），紧接着07:50:18 门磁传感器显示门打开（StateValue=False），07:50:19 玄关运动传感器检测到有人（Occupancy=1），确认有人通过大门离开。随后在07:50:27 门锁执行手动上锁操作（LockState=1），门磁显示门关闭（StateValue=True）。这一系列动作（开锁->出门->关门->上锁）是标准的离家流程。",
    "4. 验证后续状态：08:02 再次记录到门锁锁定和门关闭状态，可能是由于机械延迟上报或二次确认，但整体逻辑连贯，没有发现撬锁、非法入侵或长时间未关门的异常迹象。"
  ],
  "key_evidence": [
    "07:50:16 front_door_lock LockOperation(LockOperationType=1) 表示手动解锁",
    "07:50:18 front_door_contact StateValue=False 表示门被打开",
    "07:50:19 entrance_occupancy OccupancySensing.Occupancy=1 表示有人经过门口",
    "07:50:27 front_door_lock LockOperation(LockOperationType=0) 表示手动上锁",
    "07:50:26 front_door_contact StateValue=True 表示门已关闭并锁定"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议定期检查门锁电池电量以确保长期可靠性。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 35

## 设备事件日志
[2026-08-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T07:33:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T07:33:25] front_door_lock | DoorLock.LockState = 2
[2026-08-13T07:33:27] front_door_contact | BooleanState.StateValue = False
[2026-08-13T07:33:31] front_door_contact | BooleanState.StateValue = True
[2026-08-13T07:33:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T07:33:32] front_door_lock | DoorLock.LockState = 1
[2026-08-13T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:37:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T13:42:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-13T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-13T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T14:07:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:12:48] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T14:37:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T15:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T18:10:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T18:10:02] front_door_contact | BooleanState.StateValue = False
[2026-08-13T18:10:06] entrance_light | OnOff.OnOff = True
[2026-08-13T19:15:14] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:40:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T21:53:04] entrance_light | OnOff.OnOff = False
[2026-08-13T21:53:26] front_door_contact | BooleanState.StateValue = True
[2026-08-13T21:53:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T21:53:27] front_door_lock | DoorLock.LockState = 1
[2026-08-13T22:05:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T23:30:10] 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的居家活动模式（外出、回家、夜间休息）。",
  "reasoning": [
    "分析入户门事件：07:33 用户手动解锁并开门（接触传感器由False变True），随后立即重新上锁，符合早晨出门或短暂外出的行为特征。14:05 门锁状态变为2（已锁定）且接触传感器为False，结合14:06玄关灯亮起和14:07客厅有人，表明用户从外部返回家中并进入室内，逻辑连贯。",
    "分析晚间事件：18:10 用户再次手动上锁，可能是傍晚外出或确认门锁好。21:53 接触传感器变为True（门开），同时门锁手动解锁，随后玄关灯熄灭，这通常对应深夜归家或检查门窗后的正常操作，且之后客厅持续有人（Occupancy=1），说明住户在室内活动。",
    "综合 occupancy 数据：客厅运动传感器在 14:07-14:30 和 19:15-23:30 期间检测到有人，与门锁的开关记录高度吻合，没有发现无人时门锁被异常开启或长时间未关闭的情况，整体行为符合一居室住户的日常作息规律。"
  ],
  "key_evidence": [
    "07:33 解锁->开门->上锁序列，符合出门逻辑",
    "14:05 门锁锁定+接触器关闭，紧接着14:06灯亮+14:07有人，符合回家逻辑",
    "21:53 开门+解锁发生在夜间，随后室内持续有人，无异常滞留或入侵迹象"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "建议保持现有自动化规则（如进门开灯）以维持便利性"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 31

## 跨天活动摘要
- 2026-07-24: entrance=235, living_room=113, bathroom=53, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-24T07:16:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T07:16:16] front_door_lock | DoorLock.LockState = 2
[2026-07-24T07:16:18] front_door_contact | BooleanState.StateValue = False
[2026-07-24T07:16:19] front_door_contact | BooleanState.StateValue = True
[2026-07-24T07:16:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-24T07:16:20] front_door_lock | DoorLock.LockState = 1
[2026-07-24T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-24T18:07:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T18:07:02] front_door_contact | BooleanState.StateValue = False
[2026-07-24T18:07:15] entrance_light | OnOff.OnOff = True
[2026-07-24T18:32:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T18:52:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:12:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:17:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:17:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:32:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:37:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:47:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T19:48:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-24T19:48:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-24T19:52:10] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:57:19] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T19:59:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-07-24T19:59:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-24T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-24T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-24T20:04:00] entrance_light | OnOff.OnOff = 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的晚间回家、居家活动及夜间就寝流程，未发现安全威胁或设备异常。",
  "reasoning": [
    "1. 入户行为分析：18:07 门锁上锁（LockState=2），随后玄关灯亮起，符合住户下班回家并反锁大门的正常逻辑。",
    "2. 居家活动轨迹：18:32至20:00期间，玄关、客厅、卫生间等区域运动传感器频繁触发，且厨房洗碗机启动，表明住户在客厅和厨房进行正常的晚间家务和休闲活动。",
    "3. 就寝模式识别：19:30后卧室传感器显示无人（Occupancy=0），20:02门锁再次上锁（可能是确认状态或误触，但结合后续无开门记录视为正常闭环），20:04玄关灯开启（可能为起夜或最后离开房间时的操作），整体时间线符合从活跃到休息的过渡。",
    "4. 排除风险：未检测到非法入侵迹象（如非授权开锁）、火灾风险（烟雾报警器未报警）或设备故障（所有状态切换逻辑连贯）。"
  ],
  "key_evidence": [
    "18:07 front_door_lock LockState=2 (Manual) - 正常回家落锁",
    "19:59 kitchen_dishwasher OnOff=True - 正常家电使用",
    "19:30-20:00 master_bedroom/second_bedroom Occupancy=0 - 卧室无人，符合晚间活动规律",
    "无 DoorLock.LockState=1 (Unlocked) 伴随非法闯入特征的事件"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控夜间（23:00后）是否有异常的运动传感器触发或门窗开启事件。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 131

## 跨天活动摘要
- 2026-08-28: living_room=114, bedroom=65, bathroom=55, entrance=14, kitchen=8
- 2026-08-29: living_room=196, bedroom=207, bathroom=57, kitchen=14, entrance=3
- 2026-08-30: living_room=194, bedroom=208, bathroom=57, kitchen=15, entrance=3

## 设备事件日志
[2026-08-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-08-28T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-08-28T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-08-28T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-28T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-28T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-28T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-28T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-28T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-28T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-28T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-28T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-28T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-28T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-28T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-28T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-28T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-28T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-28T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-28T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2389
[2026-08-28T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:32:08] bedroom_light | OnOff.OnOff = True
[2026-08-28T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-28T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:37:05] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-28T06:38:50] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-28T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-28T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-28T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-28T06:57:00] bathroom_light | OnOff.OnOff = False
[2026-08-28T06:57:07] kitchen_light | OnOff.OnOff = True
[2026-08-28T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-28T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-28T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-28T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-28T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-28T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-28T07:11:02] bedroom_light | OnOff.OnOff = False
[2026-08-28T07:11:14] front_door_lock | DoorLock.LockState = 2
[2026-08-28T07:11:22] front_door_contact | BooleanState.StateValue = True
[2026-08-28T07:11:23] front_door_lock | DoorLock.LockState = 1
[2026-08-28T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-08-28T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-28T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-28T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2422
[2026-08-28T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-28T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-28T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-28T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-28T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-28T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-28T19:14:00] kitchen_light | OnOff.OnOff = True
[2026-08-29T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-29T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-08-29T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-29T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-29T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-29T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-29T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-29T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-29T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-29T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-29T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-29T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-29T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-29T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-29T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-29T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-29T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-08-29T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-29T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-29T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-29T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-29T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-29T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-29T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2415
[2026-08-29T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-29T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-29T07:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2407
[2026-08-29T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-08-29T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-08-29T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2414
[2026-08-29T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520
[2026-08-29T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-08-29T07:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-29T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-29T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-29T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-08-29T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-08-29T09:02:02] kitchen_light | OnOff.OnOff = True
[2026-08-29T12:31:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T19:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-30T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-30T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-30T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-30T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-30T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-30T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-08-30T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-30T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-30T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-30T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-30T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-30T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-30T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-30T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-30T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-30T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-30T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-30T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-30T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-30T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-30T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-30T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-30T06:42:00] kitchen_light | OnOff.OnOff = True
[2026-08-30T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-30T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-30T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，设备日志显示的行为模式符合正常住户作息规律。",
  "reasoning": [
    "1. 活动模式分析：日志显示住户通常在清晨 06:30-07:00 之间起床（卧室灯开启、客厅/卫生间 occupancy 变为 1），随后在 07:11 左右离开家（门锁上锁、门传感器关闭）。这与典型的上班族或规律生活者的作息高度一致。",
    "2. 设备状态逻辑自洽：早晨起床时，卧室灯亮后熄灭，厨房灯随后亮起（可能用于准备早餐或咖啡），符合生活逻辑。白天大部分时间 occupancy 为 0，表明家中无人，符合离家状态。",
    "3. 异常值排查：虽然 8月29日 12:31 和 19:16 有短暂的客厅 occupancy 记录，但持续时间极短且无其他伴随的异常设备动作（如灯光频繁开关、门锁操作等），可能是住户短暂进入客厅取物或经过传感器区域，属于正常行为波动。",
    "4. 环境数据正常：温度传感器读数随时间缓慢变化，符合室内热惯性特征，无突变或传感器故障迹象。"
  ],
  "key_evidence": [
    "2026-08-28T07:11:23 front_door_lock | DoorLock.LockState = 1 (确认离家)",
    "2026-08-28T06:32:08 bedroom_light | OnOff.OnOff = True (确认起床)",
    "连续三天相似的晨间活动序列 (Wake up -> Kitchen/Living Room activity -> Leave)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持现有自动化规则，确保离家时安防系统已正确激活。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "客厅温度传感器读数严重偏离物理现实，显示异常高温（约 240°C-250°C），而卧室和厨房传感器读数正常（约 23.7°C-24.1°C），表明该传感器存在故障或漂移。",
  "reasoning": [
    "数据一致性分析：在 2026-08-28 至 2026-08-30 期间，卧室 (bedroom_temp_sensor) 和厨房 (kitchen_temp_sensor) 的温度读数稳定在 23.7°C 至 24.1°C 之间，符合夏季室内正常环境温度。",
    "异常值识别：与此同时，客厅温度传感器 (living_room_temp_sensor) 的读数持续在 2439 至 2541 之间。考虑到 Matter 协议中温度通常以 0.1°C 为单位上报，这些数值实际代表 243.9°C 至 254.1°C，这在家庭环境中是不可能的，甚至会导致火灾报警系统误报。",
    "交叉验证失败：尽管日志中多次记录客厅有人活动 (Occupancy = 1)，且空调设备存在，但其他房间的正常温度读数排除了全屋过热或外部极端天气导致的可能性，确认为单一设备的数据采集错误（漂移/故障）。",
    "潜在风险：虽然当前未直接触发火警（因为烟雾传感器独立工作），但错误的温度数据可能导致自动化场景（如基于高温开启空调）失效，或者如果逻辑判断失误，可能掩盖真实的火灾隐患。"
  ],
  "key_evidence": [
    "[2026-08-28T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439 (对应 243.9°C)",
    "[2026-08-28T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370 (对应 23.7°C)",
    "[2026-08-28T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480 (对应 24.8°C)"
  ],
  "recommended_actions": [
    "立即检查并重置客厅温度传感器 (living_room_temp_sensor)，确认其硬件连接是否正常。",
    "暂时禁用依赖该温度传感器的自动化规则（如高温自动开空调），改用其他房间的温度数据作为参考。",
    "联系设备制造商或技术支持，申请更换故障传感器，以防数据漂移影响其他安全逻辑判断。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 21

## 跨天活动摘要
- 2026-07-19: entrance=51, living_room=48, master_bedroom=48, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-07-19T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-19T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-19T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-19T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T21:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-19T21:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的入户离家或夜间锁门行为。",
  "reasoning": [
    "1. 分析门锁与门磁状态：在 20:02 门锁上锁 (LockState=2)，随后 20:03 门磁显示关闭 (False)。这符合住户回家进门后关门并反锁，或者出门时锁门的正常物理逻辑。",
    "2. 分析照明状态：20:04 玄关灯亮起 (OnOff=True)。结合时间（晚上8点）和上述锁门动作，极有可能是住户进入室内后触发了玄关灯的自动开启，或者是住户手动开灯准备离开/休息。这是典型的居家行为模式。",
    "3. 分析 occupancy 传感器数据：虽然日志中多次报告 occupancy=0（无人），但这通常意味着运动传感器处于空闲状态或住户静止不动。关键在于，在 20:00 之前所有房间均为无人状态，20:02-20:04 发生了入口处的关键交互（锁门+开灯）。如果这是入侵，入侵者通常会避免立即开灯或会有更长的潜伏期；如果这是离家，住户锁门后开灯可能是为了检查或取物，随后可能离开。无论哪种情况，均属于可控的正常行为范畴，无暴力破拆、异常时间闯入或设备故障迹象。"
  ],
  "key_evidence": [
    "2026-07-19T20:02:00 front_door_lock | DoorLock.LockState = 2 (门锁已锁定)",
    "2026-07-19T20:03:00 front_door_contact | BooleanState.StateValue = False (门已关闭)",
    "2026-07-19T20:04:00 entrance_light | OnOff.OnOff = True (玄关灯开启)"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议确认该时间段是否为住户正常活动时段，若住户不在家且未授权他人进入，可进一步核实身份。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-07-11T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-11T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-11T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-11T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-11T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-11T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-11T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-11T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-11T09:44:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-11T09:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-11T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-11T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-11T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-11T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-11T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:10:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-11T10:10:05] living_room_light_1 | OnOff.OnOff = True
[2026-07-11T10:10:11] living_room_ac | OnOff.OnOff = True
[2026-07-11T10:10:11] living_room_ac | Thermostat.SystemMode = 3
[2026-07-11T10:10:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-11T10:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:14:16] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-11T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-11T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-11T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-11T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:33:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-11T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的早晨起床及客厅活动场景。",
  "reasoning": [
    "1. 时间与环境分析：事件发生在2026-07-11上午09:30至10:35之间，属于典型的早晨时段。此时卧室传感器（bedroom_occupancy）在09:33和09:53报告有人（Value=1），符合住户刚起床或仍在休息的状态。",
    "2. 行为逻辑连贯性：10:05左右，客厅窗户传感器（living_room_window_contact）状态变为False（通常Matter协议中False代表关闭/闭合，True代表打开/断开，或者反之，需结合上下文。但在10:18窗帘升起CurrentPositionLiftPercent100ths=0通常表示完全打开或完全关闭，若配合灯光开启，极可能是用户拉开窗帘）。紧接着10:07客厅灯亮起，10:10 occupancy传感器检测到有人进入客厅，10:10:11空调开启并设定模式为3（通常为制冷或制热，结合夏季7月，应为制冷）。这一系列动作（开窗/拉帘 -> 开灯 -> 人进入 -> 开空调）构成了非常标准的“起床后进入客厅调节环境”的行为链。",
    "3. 排除异常特征：没有发现门锁异常开启、烟雾报警、漏水检测触发或长时间无活动的迹象。卧室与客厅的人员流动符合正常居住节奏，无入侵或尾随迹象。"
  ],
  "key_evidence": [
    "bedroom_occupancy 在 09:33 和 09:53 报告 Occupancy=1，表明住户在卧室活动。",
    "living_room_light_1 在 10:07 开启，随后 living_room_occupancy 在 10:10 报告 Occupancy=1，表明有人进入客厅。",
    "living_room_ac 在 10:10:11 开启并设置 Thermostat.SystemMode=3，符合夏季早晨调节室温的需求。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议继续监控日常作息规律，以便在未来建立更精准的正常行为基线。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-08-12T07:06:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:06:10] front_door_lock | DoorLock.LockState = 2
[2026-08-12T07:06:12] front_door_contact | BooleanState.StateValue = False
[2026-08-12T07:06:17] front_door_contact | BooleanState.StateValue = True
[2026-08-12T07:06:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T07:06:18] front_door_lock | DoorLock.LockState = 1
[2026-08-12T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T08:36:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T08:36:02] front_door_contact | BooleanState.StateValue = False
[2026-08-12T18:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:27:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:27:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:27:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T19:28:03] living_room_light | LevelControl.CurrentLevel = 33
[2026-08-12T19:29:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:47:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:49:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T19:57:37] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-12T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-12T20:07:00] 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在傍晚时段正常回家、开灯并在家中活动，所有设备状态变化符合正常的居家行为模式，未发现安全威胁。",
  "reasoning": [
    "1. 分析入户门事件：20:02 门锁上锁（LockState=2），20:03 门磁关闭（StateValue=False），表明住户已回到家中并将门关好。虽然日志中未直接显示“开锁”动作（可能因采样间隔或自动落锁机制导致记录缺失，或者之前的开锁动作发生在20:02之前），但结合后续的室内活动，可以推断住户已进入室内。",
    "2. 分析室内活动轨迹：20:04 玄关灯亮起，随后在 20:07 卧室检测到人体存在。这符合老人回家后先经过玄关，然后前往卧室休息或活动的典型路径。",
    "3. 排除异常风险：没有发现非授权时间的入侵迹象（时间为晚上8点，属于正常居家时间）；没有发现门窗异常开启或传感器故障（如门一直开着但人不在家）；也没有发现火灾、漏水或一氧化碳等紧急危险信号。整体行为逻辑连贯且符合独居老人的生活习惯。"
  ],
  "key_evidence": [
    "[20:02:00] front_door_lock | DoorLock.LockState = 2 (门锁上锁，确认进入)",
    "[20:03:00] front_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[20:04:00] entrance_light | OnOff.OnOff = True (玄关灯亮，确认有人活动)",
    "[20:07:00] bedroom_occupancy | OccupancySensing.Occupancy = 1 (人员移动至卧室)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控晚间活动规律，若后续长时间无活动或出现异常静止，可触发健康关怀检查。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 29

## 跨天活动摘要
- 2026-08-15: entrance=234, bedroom=242, kitchen=240, living_room=209, bathroom=58

## 设备事件日志
[2026-08-15T07:00:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-15T07:00:09] front_door_lock | DoorLock.LockState = 2
[2026-08-15T07:00:11] front_door_contact | BooleanState.StateValue = False
[2026-08-15T07:00:17] front_door_contact | BooleanState.StateValue = True
[2026-08-15T07:00:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-15T07:00:18] front_door_lock | DoorLock.LockState = 1
[2026-08-15T08:31:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-15T08:31:00] front_door_lock | DoorLock.LockState = 2
[2026-08-15T08:31:02] front_door_contact | BooleanState.StateValue = False
[2026-08-15T18:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T18:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:16:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:17:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:20:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:23:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T19:36:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:37:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:38:07] living_room_light | LevelControl.CurrentLevel = 24
[2026-08-15T19:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:43:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:53:22] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T19:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T19:57:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-15T20:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-15T20:04:00] entrance_light | OnOff.OnOff = 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在傍晚时段正常回家、开灯及在屋内活动，所有设备状态变化符合正常生活行为模式，未发现安全威胁。",
  "reasoning": [
    "1. 回家行为分析：20:02 门锁上锁（LockState=2）且门磁关闭（False），紧接着 20:03 门磁打开（True，表示门被推开进入），20:04 玄关灯亮起。这一序列（锁门->进门->开灯）是典型的独居老人晚间归家流程，逻辑连贯且符合常理。",
    "2. 活动轨迹合理性：从 18:36 开始，玄关运动传感器多次触发，随后厨房、卧室、客厅等区域传感器陆续激活，表明住户在屋内进行了正常的走动和家务活动（如做饭、休息）。这种多房间的活动模式排除了‘异常静止’或‘跌倒后无反应’的风险。",
    "3. 排除入侵可能：虽然 20:02 有上锁动作，但紧随其后的开门和开灯动作由同一用户完成（基于时间紧密性和后续室内活动），而非外部入侵者强行破拆或尾随。没有检测到暴力开锁、长时间徘徊或夜间非正常时段的异常闯入迹象。"
  ],
  "key_evidence": [
    "[20:02:00] front_door_lock | DoorLock.LockState = 2 (确认上锁)",
    "[20:03:00] front_door_contact | BooleanState.StateValue = False -> True (确认进门)",
    "[20:04:00] entrance_light | OnOff.OnOff = True (确认开灯，伴随进门动作)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控日常作息规律，若未来出现长时间无活动记录或深夜异常开门，再行介入。"
  ]
}
```

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


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

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

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

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

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

## 跨天活动摘要
- 2026-07-29: entrance=234, living_room=110, bathroom=53, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T07:16:22] front_door_lock | DoorLock.LockState = 2
[2026-07-29T07:16:24] front_door_contact | BooleanState.StateValue = False
[2026-07-29T07:16:29] front_door_contact | BooleanState.StateValue = True
[2026-07-29T07:16:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T07:16:30] front_door_lock | DoorLock.LockState = 1
[2026-07-29T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T12:36:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T12:56:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:16:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:36:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T13:46:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T13:56:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-07-29T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-07-29T14:06:00] entrance_light | OnOff.OnOff = True
[2026-07-29T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T14:16:21] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T14:16:25] entrance_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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的居家活动模式。",
  "reasoning": [
    "1. 门锁与传感器状态逻辑一致：07:16 记录了一次完整的出门流程（开锁->门开->关门->上锁），随后在 14:05 记录了回家流程（开锁->门开->进门->灯亮->客厅有人）。这符合典型的住户外出后返回的行为模式。",
    "2.  occupancy 传感器数据正常：玄关运动传感器 (entrance_occupancy) 在下午时段持续报告有人 (Occupancy=1)，且客厅运动传感器 (living_room_occupancy) 在 14:07 也检测到有人，这与入户后的行为轨迹吻合，排除了传感器故障或误报的可能性。",
    "3. 无异常入侵迹象：所有事件均发生在白天（07:16 和 14:05），且有明确的“人”的活动证据（运动传感器触发、灯光开启），非深夜非法闯入特征。"
  ],
  "key_evidence": [
    "[2026-07-29T07:16:22] front_door_lock | Event: LockOperation(LockOperationType=1...) - 早上出门上锁",
    "[2026-07-29T14:05:00] front_door_lock | DoorLock.LockState = 2 - 下午回家开锁",
    "[2026-07-29T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1 - 确认室内有人活动"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议继续保持当前的自动化规则（如进门开灯）以维持居住便利性。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-07-25T07:03:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-25T07:03:08] front_door_lock | DoorLock.LockState = 2
[2026-07-25T07:03:10] front_door_contact | BooleanState.StateValue = False
[2026-07-25T07:03:18] front_door_contact | BooleanState.StateValue = True
[2026-07-25T07:03:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-25T07:03:19] front_door_lock | DoorLock.LockState = 1
[2026-07-25T08:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-25T08:22:00] front_door_lock | DoorLock.LockState = 2
[2026-07-25T08:22:02] front_door_contact | BooleanState.StateValue = False
[2026-07-25T18:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:29:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:29:10] living_room_light | LevelControl.CurrentLevel = 50
[2026-07-25T19:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:33:42] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T19:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:50:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T19:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-25T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-25T20:03:42] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-25T20:09:00] 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": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示独居老人在傍晚时段正常回家、开门、开灯及在屋内活动，所有设备状态变化符合正常的居家行为模式，未发现安全风险。",
  "reasoning": [
    "1. 分析入户门事件：20:02门锁上锁（LockState=2），20:03门磁关闭（False，表示门被打开）。结合时间（晚上8点）和后续玄关灯开启（20:04），这符合住户从外部进入室内的典型行为流程（先开锁/推门，再进屋开灯）。",
    "2. 分析人员活动轨迹：20:04玄关灯亮起后，20:09客厅运动传感器检测到有人（Occupancy=1）。这表明住户进入家门后，移动到了客厅区域，符合独居老人晚间在客厅休息或活动的习惯。",
    "3. 排除异常迹象：虽然20:02有上锁动作，但紧接着20:03门被打开且有人进入，说明这是住户自己操作而非外人强行闯入（否则通常伴随非法入侵报警或长时间未解锁直接开门等异常逻辑，此处逻辑连贯）。此外，卫生间传感器在19:33和20:04显示无人，符合常规使用间隔，无滞留风险。"
  ],
  "key_evidence": [
    "[20:02] front_door_lock | DoorLock.LockState = 2 (门锁上锁)",
    "[20:03] front_door_contact | BooleanState.StateValue = False (门被打开)",
    "[20:04] entrance_light | OnOff.OnOff = True (玄关灯开启，确认有人进入)",
    "[20:09] living_room_occupancy | OccupancySensing.Occupancy = 1 (人员在客厅活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持现有监控配置，继续观察夜间其他时段的异常活动。"
  ]
}
```

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


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

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

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

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

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

## 跨天活动摘要
- 2026-08-27: entrance=232, living_room=112, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T07:29:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-27T07:29:09] front_door_lock | DoorLock.LockState = 2
[2026-08-27T07:29:11] front_door_contact | BooleanState.StateValue = False
[2026-08-27T07:29:14] front_door_contact | BooleanState.StateValue = True
[2026-08-27T07:29:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-27T07:29:15] front_door_lock | DoorLock.LockState = 1
[2026-08-27T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T12:39:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T12:59:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:19:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T13:20:03] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:39:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T13:50:03] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T13:59:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-27T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-27T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-27T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-27T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T14:19:12] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-27T14:20:03] bathroom_occupancy | OccupancySensing.Occupancy = 0

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的居家活动模式。",
  "reasoning": [
    "1. 门锁状态分析：07:29 记录了一次完整的‘开锁-出门-关门-反锁’流程（LockState 2->1），符合住户早晨外出的正常行为。14:05 再次出现 LockState=2（通常表示已上锁/锁定），随后玄关灯亮起，表明住户可能从外部返回并重新锁门，或确认门锁状态，逻辑连贯。",
    "2. 传感器联动分析：14:06 玄关灯开启与 14:07 客厅 occupancy 变为 1 存在时间上的紧密关联，符合‘回家开灯并进入客厅’的行为习惯。入口处的 occupancy 多次短暂触发（12:39, 13:19, 13:39, 13:59, 14:19）且持续约1分钟，可能是住户在玄关区域整理物品、换鞋或短暂停留，属于正常生活场景。",
    "3. 排除异常特征：没有发现非授权时间的入侵迹象（如深夜频繁开门），没有连续的门禁失败记录，也没有长时间无人但设备异常激活的情况。所有事件均在合理的时间窗口内发生，且设备间状态变化符合物理逻辑。"
  ],
  "key_evidence": [
    "07:29:09 - 07:29:15: 完整的早晨出门锁门序列 (LockOperation Manual -> LockState 2 -> Contact False -> Contact True -> LockState 1)",
    "14:05:00 - 14:07:00: 下午时段门锁状态更新伴随玄关灯开启及客厅人员检测，符合归家或检查门锁的正常行为",
    "Entrance Occupancy 多次短时触发: 符合人员在玄关区域活动的特征，无异常滞留或快速闪避迹象"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议继续监控日常作息规律，若未来出现非预期时间的门锁操作或长时间无 occupancy 信号可进一步关注。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light, living_room_window_contact
- 已选事件数: 32

## 设备事件日志
[2026-08-13T08:36:10] living_room_light | OnOff.OnOff = True
[2026-08-13T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-13T08:56:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-13T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-13T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-13T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-13T09:16:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-13T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-13T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-13T09:30:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:31:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:32:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-13T09:36:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-13T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-13T09:50:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:51:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:52:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-13T09:56:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T09:56:57] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-13T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-13T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-13T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-13T10:07:00] living_room_light | OnOff.OnOff = True
[2026-08-13T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-13T10:10:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T10:11:03] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为独居老人在上午时段的正常居家活动及环境监控数据。",
  "reasoning": [
    "1. 人员活动轨迹符合日常规律：日志显示在09:30至10:11期间，厨房、玄关、卧室等多个区域相继触发运动传感器（Occupancy=1），且客厅也有持续的活动记录。这种多房间、连续的运动检测符合独居老人在上午进行洗漱、准备早餐或日常活动的行为模式，不存在长时间静止（跌倒风险）或异常入侵迹象。",
    "2. 门窗状态逻辑一致：10:05和10:06分别记录了客厅和卧室窗户传感器状态为False（通常代表关闭/锁定）。结合此时段室内温度稳定在25°C左右（2540-2558对应25.4-25.6°C），且无烟雾或漏水报警，表明窗户处于关闭状态以维持室内舒适环境，这是正常的节能和安全行为。",
    "3. 设备功能正常：灯光在08:36和10:07开启，符合早晨自然光不足或需要照明时的习惯；温度传感器读数波动在合理范围内（±0.2°C），未见传感器卡死或漂移故障；无紧急报警设备（如烟雾报警器）触发。"
  ],
  "key_evidence": [
    "09:30-10:11期间多个房间（kitchen, entrance, bedroom, living_room）连续出现 Occupancy=1，证明有人在家且活动正常。",
    "10:05-10:06 living_room_window_contact 和 bedroom_window_contact 均为 False (Closed)，与室内恒温环境相符。",
    "无任何 smoke_co_alarm, water_leak_detector 报警，且温度传感器数值稳定。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续常规监控，确保运动传感器灵敏度设置适合老人行动速度，避免误报或漏报。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到疑似非法入侵：在独居老人家中，多个房间（厨房、玄关、卧室）的传感器在短时间内连续触发占用信号，且客厅窗户状态异常变化，表明可能有非住户人员进入。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，从 09:30 开始，厨房、玄关、卧室的运动传感器几乎同时或连续触发（间隔仅数秒至数十秒），这种跨房间的快速移动模式不符合正常居家活动习惯（如起床、做饭通常有先后顺序和停留时间）。",
    "推理步骤 2: 关键证据在于 10:05 分客厅窗户接触传感器状态变为 False（打开），紧接着 10:06 分卧室窗户也变为 False。对于独居老人而言，白天同时打开多扇窗户且伴随多房间有人活动的迹象，极有可能是入侵者为了通风、掩盖气味或逃离现场而采取的动作，或者是入侵者正在利用窗户作为进出路径。",
    "推理步骤 3: 结合用户画像（独居老人），其日常作息相对固定，且通常不会在短时间内频繁往返于厨房、玄关和卧室之间并迅速离开。这种‘多点并发’的占用信号加上窗户状态的突变，构成了典型的入侵行为特征，而非正常的家庭内部活动。"
  ],
  "key_evidence": [
    "09:30-09:52 期间，厨房、玄关、卧室运动传感器在短时间内连续高频触发，呈现快速穿梭模式。",
    "10:05:00 客厅窗户传感器状态由 True 变为 False，随后 10:06:00 卧室窗户传感器也变为 False，显示多处窗户被打开。"
  ],
  "recommended_actions": [
    "立即向户主发送最高级别安全警报，通知其家人或紧急联系人。",
    "若系统连接了本地摄像头，自动截取并保存当前及过去 10 分钟的视频片段供警方调查。",
    "建议物业或安保服务立即前往该地址核实情况，确认是否有外人闯入。"
  ]
}
```