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: 34

## 设备事件日志
[2026-08-15T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2554
[2026-08-15T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-15T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-15T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-15T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-15T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-08-15T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-15T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T09:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-08-15T09:43:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-15T09:43:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-15T09:44:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-15T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-15T09:51:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-15T09:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T09:56:08] living_room_light_1 | OnOff.OnOff = True
[2026-08-15T09:56:17] living_room_ac | OnOff.OnOff = True
[2026-08-15T09:56:17] living_room_ac | Thermostat.SystemMode = 3
[2026-08-15T09:56:21] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-08-15T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-15T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-08-15T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-15T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-15T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-15T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-08-15T10:11:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T10:14:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-15T10:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544

## 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. 人员活动轨迹符合逻辑：09:31 卧室有人（Occupancy=1），随后在 09:56 客厅检测到有人（Occupancy=1）并开启灯光和空调，这符合典型的早晨起床后进入客厅活动的行为模式。",
    "2. 设备操作与环境一致：09:56 开启客厅灯和空调（制冷模式 SystemMode=3），且此时客厅窗户传感器显示关闭（StateValue=False），窗帘位置为0%（通常表示完全打开或初始状态，结合光照和温度调节需求，开窗帘通风或采光也是合理行为，但此处主要看门窗安全）。关键在于窗户接触传感器在 10:05 仍显示 False（关闭/锁定状态），表明没有非法入侵迹象。",
    "3. 无异常环境数据：厨房灶具在 09:43 关闭，之后无长时间无人看管烹饪的迹象；烟雾报警器、一氧化碳报警器、漏水传感器均无报警记录；温度读数在 25.3°C - 25.6°C 之间波动，属于正常室内温度范围，无剧烈变化暗示传感器故障或极端天气影响。"
  ],
  "key_evidence": [
    "living_room_occupancy 从 0 变为 1 (09:56)，伴随 living_room_light_1 和 living_room_ac 开启，符合用户主动控制行为。",
    "living_room_window_contact 在 10:05 显示 StateValue = False (Closed/Secure)，排除入侵风险。",
    "kitchen_cook_surface 在 09:43 关闭，后续无异常激活，排除未关火风险。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控日常行为基线，以便在未来识别偏离此模式的异常活动。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到客厅窗户在无人状态下被打开，且随后有人进入客厅并开启灯光和空调，存在非法入侵或尾随风险。",
  "reasoning": [
    "推理步骤 1: 在 09:43:30 至 10:05:00 期间，living_room_window_contact 状态为 False（表示窗户打开），此时 living_room_occupancy 持续报告为 0（无人），表明窗户是在无人时被动打开的，这不符合正常居住习惯。",
    "推理步骤 2: 在 10:05:00 确认窗户打开后不久，10:06:00 bedroom_window_contact 也变为 False，显示多处窗户同时异常开启，增加了外部接触的可能性。",
    "推理步骤 3: 关键转折点出现在 09:56:08 至 09:56:17，尽管之前报告显示无人，但紧接着 living_room_light_1 被打开，living_room_ac 被启动，且 09:56:00 时 occupancy 突然变为 1。这种‘先开窗、后有人’的时间序列强烈暗示有人通过打开的窗户进入室内，或者住户在离开时未关窗导致后续误报，但结合多扇窗户同时打开的模式，入侵风险极高。"
  ],
  "key_evidence": [
    "09:43:30 - 10:05:00 期间 living_room_window_contact 为 False (Open)，而同期 living_room_occupancy 为 0 (Empty)。",
    "09:56:00 检测到 living_room_occupancy 从 0 突变为 1，随即在 09:56:08 开启了灯光和空调，时间间隔极短，符合进入行为特征。"
  ],
  "recommended_actions": [
    "立即通知住户检查家中安全状况，确认是否有陌生人闯入。",
    "建议住户暂时不要使用指纹/密码等生物识别方式开门，以防嫌疑人持有复制钥匙或正在尝试其他入口，优先联系物业或警方。",
    "检查所有门窗传感器日志，确认是否有多处窗户在同一时间段被打开，以评估入侵范围。"
  ]
}
```


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: SQ3
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 108

## 跨天活动摘要
- 2026-08-11: entrance=233, living_room=114, bathroom=52, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-11T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T07:24:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-11T07:24:19] front_door_lock | DoorLock.LockState = 2
[2026-08-11T07:24:21] front_door_contact | BooleanState.StateValue = False
[2026-08-11T07:24:27] front_door_contact | BooleanState.StateValue = True
[2026-08-11T07:24:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-11T07:24:28] front_door_lock | DoorLock.LockState = 1
[2026-08-11T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T12:29:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T12:49:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T13:09:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-11T13:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-11T13:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-11T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-11T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-11T13:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-11T13:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2504
[2026-08-11T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-11T13:23:17] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-11T13:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-11T13:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-11T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-11T13:29:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T13:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-11T13:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-11T13:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2497
[2026-08-11T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-11T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-11T13:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-11T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-11T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-11T13:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-11T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2477
[2026-08-11T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-11T13:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-11T13:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-11T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-11T13:49:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T13:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-11T13:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-11T13:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-11T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-11T13:53:17] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-11T13:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-11T13:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-11T14:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-11T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-11T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-08-11T14:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-11T14:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-11T14:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-11T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-11T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-11T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-11T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T14:09:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2467
[2026-08-11T14:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-11T14:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-08-11T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-11T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-08-11T14:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-11T14:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-11T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-11T14:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-11T14:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-11T14:23:17] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-11T14:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-11T14:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-11T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-11T14:29:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-08-11T14:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-11T14:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-11T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-08-11T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-11T14:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-08-11T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-08-11T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-08-11T14:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-11T14:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-11T14:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-11T14:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-08-11T14:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-08-11T14:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-11T14:49:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T14:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-11T14:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-08-11T14:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-11T14:53:17] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T14:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432
[2026-08-11T14:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-11T14:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2432

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁，日志显示为正常的家庭日常活动及环境数据上报。",
  "reasoning": [
    "1. 门锁与门禁状态分析：07:24 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模式。14:05 再次出现 LockState=2 (Unlocked) 且 Contact=False (Closed)，随后玄关灯亮起，表明有人在家或刚回家并打开了门/锁，这是正常的居家活动迹象。",
    "2. 传感器数据合理性：温度传感器数值在 2432mK 至 2504mK 之间波动（即 24.3°C - 25.0°C），变化平缓且处于舒适区间，无剧烈跳变，排除传感器故障或漂移。 occupancy 传感器在多个房间交替触发和归零，符合人在家中不同区域活动的特征。",
    "3. 异常模式排查：未发现非法入侵迹象（如深夜频繁开锁、门窗异常开启）。未发现火灾风险（烟雾报警器无报警，灶具无异常长时间开启记录）。未发现漏水或跌倒等紧急情况。所有事件时间戳逻辑连贯，无冲突。"
  ],
  "key_evidence": [
    "07:24:19 门锁手动解锁后随即上锁，伴随门磁状态变化，符合出门离家场景。",
    "温度传感器读数稳定在 24-25°C 左右，无异常突变。",
    "多房间运动传感器（entrance, living_room, bathroom）在不同时间段有规律地触发，反映正常的人员移动轨迹。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控门锁日志，特别是非家庭成员活跃时段的开锁尝试。"
  ]
}
```

{
  "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: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 26

## 设备事件日志
[2026-08-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T07:19:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-17T07:19:19] front_door_lock | DoorLock.LockState = 2
[2026-08-17T07:19:21] front_door_contact | BooleanState.StateValue = False
[2026-08-17T07:19:29] front_door_contact | BooleanState.StateValue = True
[2026-08-17T07:19:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-17T07:19:30] front_door_lock | DoorLock.LockState = 1
[2026-08-17T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T12:59:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T13:19:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T13:39:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T13:39:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T13:59:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-17T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-17T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-17T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T14:09:31] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T14:19:22] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的住户离家及短暂返回/活动行为。",
  "reasoning": [
    "1. 分析早晨事件 (07:19): 门锁先解锁后上锁，且门传感器显示门曾短暂打开（False）随即关闭（True）。结合时间（早上7点多），这符合住户出门前检查门窗或短暂取物后重新锁门的正常行为模式，无异常入侵迹象。",
    "2. 分析下午事件 (13:00-14:05): 玄关运动传感器在13:00至14:00期间多次触发（Occupancy=1），但客厅、主卧、次卧等核心生活区域均保持无人状态（Occupancy=0）。这表明有人停留在入户玄关区域，可能是住户回家换鞋、放置物品或访客短暂停留。",
    "3. 分析最终状态 (14:05-14:19): 14:05门锁再次处于锁定状态（LockState=2），随后玄关灯亮起，且客厅运动传感器在14:07被触发。这一序列表明住户可能从玄关进入客厅开始日常活动，或者仅仅是玄关区域的灯光联动触发。整个过程中没有发现强行破门、长时间非法滞留或设备故障的迹象。"
  ],
  "key_evidence": [
    "07:19:19-30: 门锁手动解锁后立即重新上锁，门磁短暂断开后闭合，符合出门前确认行为。",
    "13:00-14:00: 仅玄关有活动，其他房间无人，符合居家局部活动特征。",
    "14:05-14:07: 门锁保持锁定状态，随后玄关灯亮且客厅有人活动，逻辑连贯，无入侵痕迹。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控后续是否有非家庭成员的持续夜间活动。"
  ]
}
```

{
  "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": [
    "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 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: 100

## 跨天活动摘要
- 2026-07-25: balcony=3, living_room=48, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48

## 设备事件日志
[2026-07-25T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-07-25T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-25T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-25T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-25T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-25T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-07-25T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-25T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-25T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-25T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-25T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-25T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-25T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-25T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-25T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-25T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-25T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-25T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-25T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-25T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-25T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-25T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-25T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-25T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-25T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-25T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-25T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-25T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-25T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-25T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-25T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-25T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-25T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-25T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-25T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-25T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-25T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-25T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-25T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-25T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-25T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-25T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-25T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-25T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-25T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-25T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-25T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-25T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-25T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-25T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-25T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-25T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-25T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-25T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-25T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-25T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-25T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-25T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-25T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-07-25T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-25T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-25T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-25T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-25T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-25T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-25T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-25T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-25T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-25T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-25T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-25T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-25T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-25T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-25T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-25T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-25T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-25T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-25T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-07-25T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-25T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，日志显示为正常的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。考虑到这是筛选后的片段，且没有伴随其他异常事件，这符合“家中无人”或“安静时段”的特征，并非异常静默。",
    "2.  温度数据正常波动：各房间温度传感器读数在23°C左右小幅波动（例如客厅从2391mK降至2317mK），变化趋势平缓，符合室内环境温度随时间自然变化的规律，无剧烈跳变或传感器故障迹象。",
    "3.  阳台设备操作逻辑合理：17:20时，阳台门传感器状态变为False（通常表示关闭或闭合，取决于具体实现，但结合后续动作看是正常交互），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/关门 -> 开灯 -> 启动洗衣机）符合用户前往阳台进行洗衣活动的正常行为模式。",
    "4.  无入侵或危险迹象：入户门锁、窗户传感器等关键安防设备在日志中未出现异常开启或报警记录；厨房烟雾报警器、漏水传感器等安全设备也未触发警报。"
  ],
  "key_evidence": [
    "所有occupancy_sensor在16:30-18:10期间持续返回Occupancy=0",
    "阳台区域事件序列：balcony_door_contact (17:20) -> balcony_light On (17:20) -> laundry_washer Start (17:21)",
    "温度传感器数值在2300-2400 mK范围内平稳波动，无突变"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "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，虽然当前行为看似正常，但明确状态定义有助于未来更精准的异常检测。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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: 125

## 跨天活动摘要
- 2026-07-23: living_room=113, bathroom=222, bedroom=67, entrance=14, kitchen=8
- 2026-07-24: living_room=114, bedroom=220, bathroom=58, entrance=14, kitchen=8
- 2026-07-25: living_room=195, bedroom=210, bathroom=55, kitchen=15, entrance=3

## 设备事件日志
[2026-07-23T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2434
[2026-07-23T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-23T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-07-23T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-23T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-07-23T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-23T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-23T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-07-23T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-23T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-23T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-23T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-23T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-07-23T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-23T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-23T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-07-23T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-23T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-07-23T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-23T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-07-23T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T06:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T06:37:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-23T06:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2404
[2026-07-23T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-23T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-07-23T06:51:00] bathroom_light | OnOff.OnOff = False
[2026-07-23T06:51:34] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T06:54:08] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-23T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-07-23T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-23T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-23T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-23T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-23T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-07-23T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-23T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-07-23T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-07-23T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-23T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-23T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-07-23T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-07-23T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-23T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-23T19:12:00] kitchen_light | OnOff.OnOff = True
[2026-07-24T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-24T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-07-24T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-07-24T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-24T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-07-24T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-24T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-24T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-07-24T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-07-24T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-24T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-07-24T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2480
[2026-07-24T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-07-24T06:27:02] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T06:29:17] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-24T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T06:32:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-24T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-07-24T06:37:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-24T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2405
[2026-07-24T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T06:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-07-24T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-24T06:52:02] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-07-24T06:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-07-24T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-07-24T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-24T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-24T07:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-07-24T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-07-24T07:10:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-24T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-24T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-07-24T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-24T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-24T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-07-24T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2526
[2026-07-24T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-24T07:32:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-24T07:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2429
[2026-07-24T07:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-07-24T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2529
[2026-07-24T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-07-24T08:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-07-24T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-07-24T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-07-24T18:51:00] kitchen_light | OnOff.OnOff = True
[2026-07-25T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-25T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-07-25T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-07-25T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2464
[2026-07-25T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-25T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-25T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-25T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-25T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-25T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-25T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-25T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-25T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-25T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-25T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-25T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-25T06:42:00] kitchen_light | OnOff.OnOff = True

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常行为，所有设备活动符合正常的居住模式。",
  "reasoning": [
    "1.  occupancy 传感器数据显示了典型的居家作息规律：清晨（06:30-07:00）客厅和卧室有人活动，随后在上午时段（07:00-08:00）人员离开客厅，符合上班族离家上班的模式。",
    "2.  温度传感器读数变化平缓且合理，反映了夜间至清晨的自然升温过程以及白天可能的阳光照射影响，没有出现剧烈的跳变或停滞，排除了传感器故障（sensor_stuck/drift）。",
    "3.  厨房灯光仅在傍晚（19:12, 18:51）开启，符合晚餐时间的使用习惯；没有检测到灶具长时间无人看管或烟雾报警器的触发，排除了火灾风险（fire_risk/unattended_cooking）。",
    "4.  入户门锁、窗户传感器及漏水传感器在过去三天内没有任何异常状态报告（如非法开锁、窗户异常开启或漏水），确认无入侵迹象（intrusion）或环境危害。"
  ],
  "key_evidence": [
    "2026-07-23/24/25 早晨 06:30-07:00 期间 living_room_occupancy 和 bedroom_occupancy 依次变为 1，随后在 07:00-08:00 期间 living_room_occupancy 变为 0，显示规律的晨间活动与离家。",
    "2026-07-23T19:12:00 和 2026-07-24T18:51:00 kitchen_light 开启，符合晚间生活规律。",
    "所有 temperature_sensor 读数随时间缓慢变化，无突变或固定值死锁现象。",
    "entrance_door_lock 和 contact_sensor 无任何非授权访问记录。"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议继续保持当前的自动化规则设置。"
  ]
}
```

{
  "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": [
    "触发时间位于清晨起床窗口且有轻微抖动，不是固定的可疑重复模式。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 98

## 跨天活动摘要
- 2026-08-18: balcony=3, master_bedroom=227, entrance=225, living_room=115, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-08-18T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-18T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-18T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-18T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-18T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T16:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T16:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-18T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-18T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-18T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-18T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-18T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-18T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-18T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-18T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-18T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-18T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-18T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-18T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-18T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-18T16:53:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T16:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-18T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-18T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-18T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-18T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-18T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-18T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-18T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-18T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-18T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-18T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-18T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-18T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-18T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-18T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-18T17:13:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T17:14:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-18T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-18T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-18T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-18T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-18T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-18T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-18T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-18T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-18T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-18T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-18T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-18T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-18T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-18T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-18T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-18T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T17:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T17:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-18T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-18T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-18T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-18T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-18T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-18T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-18T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-18T17:45:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T17:45:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-18T17:45:02] front_door_contact | BooleanState.StateValue = False
[2026-08-18T17:45:02] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T17:45:06] living_room_light_1 | OnOff.OnOff = True
[2026-08-18T17:45:08] living_room_ac | OnOff.OnOff = True
[2026-08-18T17:45:08] living_room_ac | Thermostat.SystemMode = 3
[2026-08-18T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-18T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-18T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-18T17:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-18T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-18T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-18T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-18T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-18T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-18T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-18T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-18T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324

## 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模式，日志显示为正常的家庭晚间活动及环境监控数据。",
  "reasoning": [
    "1. 门锁与传感器状态分析：17:45 左右入户门（front_door_lock）执行了手动上锁操作（LockState=2），同时门磁传感器（front_door_contact）显示关闭（False）。这符合住户回家并反锁大门的正常行为逻辑，且随后玄关/入口运动传感器（entrance_occupancy）在 17:55 再次触发，表明有人在家活动，无入侵迹象。",
    "2. 阳台设备状态分析：重点关注的阳台区域中，17:20 阳台门磁显示关闭（False），阳台灯开启（True），洗衣机启动（OperationalState=1）。这一序列表明住户可能进入阳台放置衣物或检查洗衣机后离开并关门开灯，属于正常的家务活动流程，未发现非法闯入或设备故障。",
    "3. 环境与 occupancy 一致性：客厅、主卧等区域的运动传感器（OccupancySensing）在 16:30-18:05 期间多次出现 0 和 1 的切换，且温度传感器读数在 23°C 左右波动，变化平缓。这种动态变化反映了住户在不同房间间的正常移动，没有长时间静止不动（跌倒风险低）或所有传感器同时失效的情况。",
    "4. 综合判断：虽然任务指定关注阳台，但提供的日志片段主要包含全屋的温度和 occupancy 心跳以及少量的关键事件。所有记录的事件（开门、关灯、启动电器、人员移动）均符合日常居住习惯，未见暴力破拆、异常时间段的陌生人活动或危险源（如烟雾、漏水）报警。"
  ],
  "key_evidence": [
    "[2026-08-18T17:45:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 确认住户主动上锁",
    "[2026-08-18T17:20:00] balcony_laundry_washer | OperationalState.OperationalState = 1 - 洗衣机正常启动",
    "[2026-08-18T17:20:00] balcony_door_contact | BooleanState.StateValue = False - 阳台门已关闭",
    "Temperature readings remain stable between 2319-2390 (approx 23.2-23.9°C), indicating no fire or extreme weather events."
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控阳台洗衣机的运行状态，确保无人看管时不会因过热或漏水引发隐患，但目前状态正常。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "正常样本是傍晚去阳台洗衣，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: 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
- 2026-08-29: entrance=54, living_room=194, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=14

## 设备事件日志
[2026-08-29T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T19:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T19:29:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T19:39:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T19:59:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T19:59:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-29T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-29T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-29T20:19:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-29T20:29:51] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-29T20:39:00] living_room_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，日志显示为正常的入户活动模式。",
  "reasoning": [
    "1. 分析入户序列：在 20:02:00 门锁状态变为 '2' (通常代表解锁或已解锁)，紧接着 20:03:00 门磁传感器状态变为 'False' (通常代表门打开/非闭合)，随后 20:04:00 玄关灯亮起。这一连串动作（开锁 -> 开门 -> 开灯）符合住户正常回家的行为逻辑。",
    "2. 检查入侵迹象：虽然门锁被解锁且门被打开，但紧随其后的是室内照明开启，这通常是住户进入后的第一反应。没有观察到暴力破坏、多次错误尝试或深夜异常闯入等高风险特征。",
    "3. 结合其他传感器：在 20:02-20:04 期间，入口运动传感器(entrance_occupancy)保持为 0，这可能是由于传感器延迟、安装角度问题或住户快速通过未触发，但这并不否定门被合法打开的事实。同时，客厅(living_room)和浴室(bathroom)的运动传感器在前后时间段有活跃记录，表明家中有人活动，排除了空屋被入侵的可能性。"
  ],
  "key_evidence": [
    "20:02:00 front_door_lock | DoorLock.LockState = 2 (门锁解锁)",
    "20:03:00 front_door_contact | BooleanState.StateValue = False (门打开)",
    "20:04:00 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本人回家，若确认为本人则忽略此告警；若不确定，可检查是否有其他家庭成员在同一时间回家。"
  ]
}
```

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


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

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

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

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

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

## 设备事件日志
[2026-08-13T07:34:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T07:34:22] front_door_contact | BooleanState.StateValue = False
[2026-08-13T07:34:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-13T16:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-13T16:10:02] front_door_contact | BooleanState.StateValue = False
[2026-08-13T17:49:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:29:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T19:31:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-13T19:31:08] dining_room_light | OnOff.OnOff = False
[2026-08-13T19:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:35:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:49:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T19:55:05] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-13T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-13T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-13T20:03:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-13T20:04:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:23:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:24:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-13T20:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的晚间居家活动模式，入户门在傍晚被手动上锁后保持关闭状态，无异常开启或入侵迹象。",
  "reasoning": [
    "1. 分析入户门锁状态：用户在 16:10 手动上锁（LockOperationType=1），随后在 20:02 再次确认门锁状态为锁定（LockState=2），且在此期间没有检测到门被打开（Contact Sensor 未触发 False/Unlocked 事件）。这表明入户门在整个晚间时段处于安全锁定状态。",
    "2. 分析人员活动轨迹：从 18:54 开始，玄关运动传感器（entrance_occupancy）多次检测到有人活动，随后活动扩散至主卫、儿童房、餐厅和客厅。这符合典型的晚间家庭成员回家后的正常生活轨迹（如洗漱、用餐、休闲）。",
    "3. 排除入侵可能：虽然 20:03 有门锁状态报告，但结合 20:04 玄关灯亮起以及随后的室内多区域 occupancy 活跃，说明这是住户在已锁好的屋内进行正常活动，而非外部入侵。没有任何证据表明门锁被非法破解或门被强行打开。"
  ],
  "key_evidence": [
    "[2026-08-13T16:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 用户主动上锁",
    "[2026-08-13T20:02:00] front_door_lock | DoorLock.LockState = 2 - 晚间确认门锁仍处于锁定状态",
    "[2026-08-13T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1 - 室内检测到人员活动，符合居家场景"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，当前系统运行正常。",
    "建议继续保持当前的自动化规则，确保夜间入户门自动上锁功能正常工作。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "这些变化表明存在安全异常。",
  "reasoning": [
    "推理步骤1: 我把本可由正常模式解释的事件误判成了异常。"
  ],
  "key_evidence": [
    "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
- 2026-08-18: entrance=232, living_room=114, bathroom=56, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T07:35:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-18T07:35:19] front_door_lock | DoorLock.LockState = 2
[2026-08-18T07:35:21] front_door_contact | BooleanState.StateValue = False
[2026-08-18T07:35:25] front_door_contact | BooleanState.StateValue = True
[2026-08-18T07:35:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-18T07:35:26] front_door_lock | DoorLock.LockState = 1
[2026-08-18T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T12:35:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T12:55:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:15:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:35:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T13:42:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T13:55:22] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-18T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-18T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-18T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-18T14:12:52] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-18T14:15:22] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "日志显示为正常的居家活动模式，入户门开关及门锁操作符合住户日常出入习惯，无安全威胁。",
  "reasoning": [
    "分析早晨07:35的事件序列：门锁先解锁（LockState=2），随后门磁显示关闭（False，即关门状态）又迅速变为开启（True，即开门状态），最后门锁重新上锁（LockState=1）。这符合典型的‘出门’或‘短暂外出后返回并反锁’的行为逻辑，且操作源均为Manual（手动），属于正常用户交互。",
    "分析下午14:05-14:15的事件序列：门锁再次处于解锁状态（LockState=2），门磁显示关闭（False），随后玄关灯亮起（OnOff=True），紧接着客厅 occupancy 传感器检测到有人（Occupancy=1）。这一连串动作清晰地表明有人从入口进入室内并走向客厅，符合正常的回家或在家移动路径。",
    "综合全天数据，所有关键设备（门锁、门磁、灯光、运动传感器）的状态变化在时间上和逻辑上均连贯一致，未发现非法入侵迹象（如深夜异常开锁）、设备故障（如传感器持续误报）或其他安全隐患。"
  ],
  "key_evidence": [
    "07:35: LockOperation(Manual) -> DoorLock.LockState=2 (Unlock) -> Contact=False/True -> LockState=1 (Lock)，符合正常出门/反锁流程。",
    "14:05: DoorLock.LockState=2 (Unlock) -> Contact=False -> 14:06 Entrance Light On -> 14:07 Living Room Occupancy=1，符合正常进门开灯并进入客厅的流程。",
    "所有事件均由 Manual 触发或由物理环境变化自然引起，无异常时间戳或矛盾状态。"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议继续保持当前的自动化规则（如进门亮灯），以维持良好的居住体验。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 17

## 设备事件日志
[2026-08-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:51:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T12:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:43:23] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T13:51:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-01T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-01T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-01T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T14:11:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T14:13:23] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T14:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为住户正常回家及在室内活动的行为模式。",
  "reasoning": [
    "1. 门锁与门磁状态分析：在 14:05:00，入户门锁状态变为 '2'（通常 Matter 协议中 LockState=2 表示 Locked with user code/key 或类似已锁定状态，结合上下文看是刚锁上），同时门磁传感器 StateValue=False（通常 False 代表 Closed/关闭）。这表明住户在 14:05 左右完成了进门并反锁的动作，或者如果是出门则是关门上锁。考虑到后续玄关灯亮起，极大概率是住户回家进门后反锁。",
    "2. 灯光联动逻辑：在门锁操作后的 14:06:00，玄关灯（entrance_light）开启。这符合典型的智能家居自动化逻辑：检测到有人进入（通过门磁变化或运动传感器触发）并确认门锁状态后，自动点亮入口灯光，属于正常的人机交互反馈。",
    "3. 人员活动轨迹一致性：在 14:05 之后，客厅、卧室等区域的 Occupancy Sensor 持续报告 Occupancy=1（有人）。这与住户进入家门后在屋内停留的活动轨迹完全吻合。没有发现长时间无人却开门，或异常时间段（如深夜）的非法入侵迹象。"
  ],
  "key_evidence": [
    "[2026-08-01T14:05:00] front_door_lock | DoorLock.LockState = 2 (门锁已锁定)",
    "[2026-08-01T14:05:00] front_door_contact | BooleanState.StateValue = False (门已关闭)",
    "[2026-08-01T14:06:00] entrance_light | OnOff.OnOff = True (玄关灯亮起，符合进门场景)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，系统运行正常。",
    "建议继续监控夜间或非活跃时段的门锁状态以维持安全基线。"
  ]
}
```

{
  "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": [
    "白天按预约时段进入，后续室内活动连续，符合正常访客到访。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 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: 18

## 设备事件日志
[2026-07-14T16:49:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T16:49:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T16:49:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T16:49:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T17:01:46] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T17:09:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:09:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:09:07] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-14T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-14T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-14T17:29:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:29:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:29:06] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-14T17:29:07] 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": "检测到阳台门关闭、灯光开启及洗衣机启动，结合多房间人员活动迹象，判断为正常的居家洗衣行为，无安全风险。",
  "reasoning": [
    "1. 分析核心事件链：在 17:20 至 17:21 期间，阳台门传感器显示状态为 False（通常代表关闭/锁定），同时阳台灯开启，紧接着洗衣机进入 OperationalState 1（运行中）。这一序列符合用户关闭阳台门后开始使用洗衣机的正常逻辑。",
    "2. 验证环境背景：日志显示在 16:49 和 17:09 等多个时间点，主卧、玄关、儿童房、餐厅等区域均检测到 Occupancy = 1（有人活动）。这表明家中有人居住且处于活跃状态，排除了无人看管导致的安全隐患（如未关窗即启动设备或离家未断电）。",
    "3. 排除异常模式：没有检测到入侵特征（如门锁被非法开启、非授权时间段的门窗异常打开），也没有火灾、漏水或一氧化碳报警信号。阳台门在洗衣机启动前已关闭，符合安全操作规范。"
  ],
  "key_evidence": [
    "[2026-07-14T17:20:00] balcony_door_contact | BooleanState.StateValue = False (阳台门已关闭)",
    "[2026-07-14T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机开始工作)",
    "[2026-07-14T17:09:07] dining_room_occupancy | OccupancySensing.Occupancy = 1 (确认家中有人活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统记录正常。",
    "建议保持当前自动化规则，确保洗衣机运行时阳台门保持关闭以维持隐私和安全。"
  ]
}
```

{
  "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。"
  ]
}