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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 24

## 设备事件日志
[2026-07-07T06:55:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-07T06:55:06] front_door_lock | DoorLock.LockState = 2
[2026-07-07T06:55:08] front_door_contact | BooleanState.StateValue = False
[2026-07-07T06:55:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T06:55:12] front_door_contact | BooleanState.StateValue = True
[2026-07-07T06:55:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-07T06:55:13] front_door_lock | DoorLock.LockState = 1
[2026-07-07T07:15:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T07:31:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:35:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:37:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T07:48:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:51:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:55:09] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-07T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-07T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-07T08:07:20] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T08:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T08:11:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T08:15:09] entrance_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的居家活动模式，包括早晨起床、如厕、厨房活动及短暂外出后返回并锁门，符合独居老人的日常行为逻辑。",
  "reasoning": [
    "1. 分析06:55-07:30的晨间活动：用户先解锁出门（06:55 LockState=2），随后立即重新锁门（06:55 LockState=1），这通常对应于检查门锁或短暂离开后立即返回的行为。随后玄关、卧室、厨房出现 occupancy 信号，符合老人早起洗漱、准备早餐或查看情况的正常作息。",
    "2. 分析08:02-08:03的门口事件：在08:02，门锁状态变为未锁定(LockState=2)且门磁显示开启(Contact=False)，紧接着在08:03门锁恢复锁定(LockState=1)。结合08:00客厅无人(0)和08:08卧室有人(1)的时间线，这表明用户在08:02左右可能短暂打开了入户门（例如取快递、扔垃圾或透气），并在几秒内关闭并反锁了门。这种短时间内的‘开-关’操作是常见的居家行为，并非入侵迹象。",
    "3. 综合行为连续性：从06:55到08:15，运动传感器在各个房间（玄关、卧室、厨房、卫生间）有规律地交替激活，没有长时间静止不动导致的异常无响应，也没有非居住时间的非法闯入特征。所有设备状态变化均与住户在家中的移动轨迹一致。"
  ],
  "key_evidence": [
    "[06:55:06] front_door_lock | Event: LockOperation(LockOperationType=1...) -> 手动解锁",
    "[06:55:13] front_door_lock | Event: LockOperation(LockOperationType=0...) -> 手动上锁",
    "[08:02:00] front_door_lock | DoorLock.LockState = 2 (Unlocked)",
    "[08:03:00] front_door_lock | DoorLock.LockState = 1 (Locked)",
    "[07:31:10] kitchen_occupancy | OccupancySensing.Occupancy = 1 (Kitchen activity)"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议继续监控该时间段的常规活动模式，以建立更精准的用户行为基线。"
  ]
}
```

{
  "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": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: 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: 101

## 跨天活动摘要
- 2026-08-14: entrance=231, master_bedroom=231, living_room=113, second_bedroom=48, bathroom=48, kitchen=11

## 设备事件日志
[2026-08-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T07:39:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-14T07:39:27] front_door_lock | DoorLock.LockState = 2
[2026-08-14T07:39:29] front_door_contact | BooleanState.StateValue = False
[2026-08-14T07:39:37] front_door_contact | BooleanState.StateValue = True
[2026-08-14T07:39:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-14T07:39:38] front_door_lock | DoorLock.LockState = 1
[2026-08-14T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T12:29:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T12:49:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T13:09:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-14T13:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-14T13:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-14T13:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-14T13:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-14T13:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-14T13:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-14T13:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-08-14T13:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-14T13:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-14T13:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-14T13:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-14T13:29:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-14T13:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-14T13:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-08-14T13:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T13:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T13:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-08-14T13:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-08-14T13:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-14T13:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-14T13:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-14T13:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-14T13:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-14T13:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-14T13:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2489
[2026-08-14T13:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-14T13:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-14T13:49:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T13:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-08-14T13:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-14T13:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-14T13:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-14T13:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-14T13:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-08-14T13:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-14T13:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-14T14:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2483
[2026-08-14T14:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2476
[2026-08-14T14:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T14:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T14:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-14T14:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-14T14:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-14T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-14T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-14T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-14T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:09:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-14T14:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-14T14:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-14T14:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2459
[2026-08-14T14:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-14T14:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2468
[2026-08-14T14:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-14T14:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2473
[2026-08-14T14:15:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-14T14:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-14T14:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-08-14T14:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-14T14:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-14T14:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-14T14:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-14T14:29:30] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-14T14:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-14T14:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-08-14T14:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-08-14T14:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T14:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T14:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-14T14:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-08-14T14:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-14T14:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-14T14:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-08-14T14:35:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-14T14:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2445
[2026-08-14T14:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-08-14T14:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-14T14:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450

## 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模式。",
  "reasoning": [
    "1. 入户门操作逻辑正常：07:39 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行为特征。14:05 再次出现开锁状态，随后玄关灯亮起且客厅 occupancy 传感器在 14:07 检测到有人，表明是住户下午回家或进入家中的正常行为。",
    "2. 传感器数据一致性高：各房间温度传感器读数在 24.5°C - 25.1°C 之间波动，变化平缓且数值合理（Matter协议中通常以0.01度为单位，即2496代表24.96°C），无突变或异常漂移，排除传感器故障。",
    "3. 人员活动轨迹连贯：入口运动传感器（entrance_occupancy）在中午至下午时段多次触发，与门锁开启时间、客厅 occupancy 传感器的变化相吻合，显示有人在玄关及客厅区域活动，未发现长时间无人却频繁开门的异常入侵迹象。"
  ],
  "key_evidence": [
    "[07:39:27] front_door_lock | LockOperation(LockOperationType=1) -> DoorLock.LockState = 2 (开锁)",
    "[07:39:38] front_door_lock | LockOperation(LockOperationType=0) -> DoorLock.LockState = 1 (反锁/上锁)",
    "[14:05:00] front_door_lock | DoorLock.LockState = 2 (开锁)",
    "[14:06:00] entrance_light | OnOff.OnOff = True (玄关灯亮，伴随人员活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控门锁日志，确保所有远程开锁操作均有对应的住户手机APP记录作为佐证。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "全屋温度传感器读数异常偏高（约 24.9°C - 25.0°C），且数值呈现非物理规律的微小波动，疑似传感器校准失效或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志发现从 13:15 开始，客厅、主卧、次卧、厨房的温度传感器连续报告数值在 2480-2507 之间。考虑到 Matter 协议中温度通常以 0.01°C 为单位，这些数值（如 2496）代表 24.96°C。虽然夏季室温可能较高，但如此多房间同时精确地处于 24.9°C 左右且无空调调节动作（空调状态未变），值得怀疑。",
    "推理步骤 2: 观察温度变化模式，数值在几分钟内发生极小幅度的非线性跳动（例如从 2496 跳到 2488，再跳到 2503）。真实的物理环境温度变化通常是平滑的，不会在 5 分钟内出现这种锯齿状的剧烈微幅震荡，这符合传感器噪声过大或校准漂移的特征。",
    "推理步骤 3: 结合 occupancy 数据，13:30 和 14:00 时多个房间显示无人（Occupancy=0），但温度依然维持在高位并持续上报异常值。如果是因为人员活动导致局部升温，应伴随明显的空间温差，而此处各房间温度高度趋同且异常，进一步证实是传感器本身的问题而非真实环境变化。"
  ],
  "key_evidence": [
    "13:15 至 14:40 期间，所有房间温度传感器读数均异常集中在 24.8°C - 25.0°C 区间，远超正常舒适区下限且缺乏合理的加热源解释。",
    "温度数值在短时间内（如 13:15 到 13:20）出现无规律的微小跳变（2496 -> 2488 -> 2503），不符合热力学传导规律，显示为数据噪声或漂移。"
  ],
  "recommended_actions": [
    "立即检查所有温度传感器的物理安装位置，确认是否被阳光直射、靠近热源或被遮挡。",
    "执行设备固件更新或重新校准操作，若问题依旧，建议更换故障传感器硬件。",
    "暂时忽略基于此温度数据的自动化逻辑（如自动开空调），以免触发错误的节能或制冷指令。"
  ]
}
```


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: 101

## 跨天活动摘要
- 2026-07-23: balcony=3, entrance=231, master_bedroom=228, living_room=115, second_bedroom=48, bathroom=48

## 设备事件日志
[2026-07-23T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-07-23T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-23T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-07-23T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-23T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T16:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-23T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-07-23T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-23T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-23T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-23T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-23T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-23T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-07-23T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-07-23T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-23T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-23T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-23T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-23T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-23T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-23T16:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-07-23T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-23T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-23T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-23T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-23T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-23T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-23T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-23T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-23T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-23T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-23T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-07-23T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-23T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-23T17:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:14:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-23T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-07-23T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-23T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-23T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-23T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-23T17:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-07-23T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-23T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-23T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-23T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-23T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-23T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-07-23T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-23T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-23T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-23T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-23T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T17:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:34:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-23T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-23T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-23T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-23T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-23T17:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-23T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-07-23T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-23T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-23T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-23T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-23T17:46:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-23T17:46:00] front_door_lock | DoorLock.LockState = 2
[2026-07-23T17:46:02] front_door_contact | BooleanState.StateValue = False
[2026-07-23T17:46:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:46:09] living_room_light_1 | OnOff.OnOff = True
[2026-07-23T17:46:13] living_room_ac | OnOff.OnOff = True
[2026-07-23T17:46:13] living_room_ac | Thermostat.SystemMode = 3
[2026-07-23T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-07-23T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-23T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-07-23T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-23T17:54:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-07-23T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-23T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-23T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-23T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-23T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-23T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-23T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-23T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-23T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317

## 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. **入户门与门锁状态分析**：17:46 左右，入户门锁执行了手动上锁操作（LockState=2），同时门磁传感器显示关闭（False）。这符合住户回家或外出后反锁门的正常行为逻辑，且随后玄关/客厅运动传感器被触发，表明有人在场，非非法入侵。",
    "2. **阳台设备状态分析**：17:20 阳台门磁显示关闭（False），阳台灯开启（True），洗衣机开始运行（OperationalState=1）。这表明住户在傍晚时段使用阳台区域进行洗衣活动，并关闭了阳台门，属于正常的生活起居行为。",
    "3. **温度数据合理性检查**：日志中记录的温度值（如 2381, 2369 等）明显高于常规摄氏度数值。根据 Matter 协议标准，TemperatureMeasurement 的 MeasuredValue 通常以厘氏度（centi-degrees Celsius）为单位存储，即实际温度 = 测量值 / 100。因此，2381 代表 23.81°C，2369 代表 23.69°C。这些数值处于舒适的室内温度范围（约 23-24°C），且随时间有微小波动，符合空调运行或自然室温变化特征，并非传感器故障或漂移。",
    "4. **人员活动轨迹一致性**：运动传感器数据显示，入口、主卧、客厅等区域在不同时间点有人员活动迹象（Occupancy=1），且与灯光开启、空调开启等行为同步。例如 17:46 进门后开灯开空调，17:20 阳台洗衣，整体行为逻辑连贯，无长时间无人却触发警报或异常静默的情况。"
  ],
  "key_evidence": [
    "17:46:00 front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 手动上锁，正常安防操作",
    "17:20:00 balcony_laundry_washer | OperationalState.OperationalState = 1 - 洗衣机启动，正常家务活动",
    "Temperature values (e.g., 2381) interpreted as 23.81°C via standard Matter unit conversion, indicating normal indoor temperature.",
    "Correlation between occupancy sensors and device actions (lights/AC on) suggests normal resident presence."
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议继续监控阳台洗衣机运行状态，确保无人看管时不会因漏水引发次生灾害（尽管当前无泄漏报警）。"
  ]
}
```

{
  "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: 25

## 设备事件日志
[2026-07-04T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-04T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-04T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-04T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-04T08:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的离家出门行为，门锁已正确上锁，无安全威胁。",
  "reasoning": [
    "1. 分析门锁状态变化：在 08:02:00，入户门锁 (front_door_lock) 的 LockState 变为 2（通常代表 Unlocked），同时门磁传感器 (front_door_contact) 显示 StateValue = False（通常代表 Closed/Secure）。这表明住户可能刚刚完成出门动作，或者系统正在执行自动落锁流程。",
    "2. 确认最终安全状态：在 08:03:00，即1分钟后，门锁状态变为 1（通常代表 Locked），且此前门磁已处于关闭状态。这符合典型的“出门后自动上锁”或“手动关门并上锁”的行为模式。",
    "3. 结合 occupancy 数据验证：从 07:00 到 08:30，全屋所有房间（包括玄关、客厅、卧室等）的运动传感器 (occupancy_sensor) 均持续报告 Occupancy = 0（无人）。这与住户已经离开家的场景完全一致，排除了有人在家但门窗异常开启的可能性。",
    "4. 综合判断：事件序列为‘门开/解锁 -> 门关 -> 门锁上’，且伴随全屋无人状态，属于标准的日常离家逻辑，未发现入侵、尾随或设备故障迹象。"
  ],
  "key_evidence": [
    "08:02:00 front_door_lock.LockState = 2 (Unlocked) 及 front_door_contact.StateValue = False (Closed)",
    "08:03:00 front_door_lock.LockState = 1 (Locked)",
    "07:00-08:30 全屋所有 occupancy_sensor 均为 0 (No Presence)"
  ],
  "recommended_actions": [
    "无需采取任何行动，当前状态安全。",
    "建议定期检查门锁电池电量，确保自动上锁功能正常运作。"
  ]
}
```

{
  "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": [
    "正常样本是短时取快递后重新上锁；异常样本缺少门磁与入口活动链路。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

## 家庭环境信息
家庭布局: 三室两厅 (3BR)
- 重点房间 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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 80

## 跨天活动摘要
- 2026-08-03: balcony=3, master_bedroom=230, entrance=230, kids_room=226, dining_room=223, living_room=112

## 设备事件日志
[2026-08-03T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-03T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-03T16:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-03T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-03T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:31:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:32:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-03T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-03T16:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-03T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-03T16:37:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-03T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-03T16:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-03T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-03T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-03T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-03T16:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-03T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-03T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-03T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-03T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-03T16:51:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:51:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:52:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:52:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-03T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-03T16:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-03T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-03T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-03T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-03T17:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-03T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-03T17:07:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-03T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-03T17:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-03T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-03T17:11:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:11:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:12:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-03T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-03T17:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-03T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-03T17:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-03T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-03T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-03T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-03T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-03T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-03T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-03T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-03T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-03T17:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-03T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-08-03T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:31:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:32:03] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-03T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-03T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-03T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-03T17:37:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-03T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-03T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-03T17:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-03T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-03T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-03T17:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328

## 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，阳台设备状态变化符合正常的洗衣活动模式。",
  "reasoning": [
    "1. 分析重点设备行为：在 17:20:00，阳台门传感器显示关闭 (False)，随后阳台灯开启 (True)。这通常表示有人进入阳台区域或为了照明而开灯，属于正常的人机交互。",
    "2. 分析关键动作序列：在 17:21:00，洗衣机启动 (OperationalState = 1)。结合之前的开门和开灯动作，这是一个非常连贯且合理的‘开始洗衣’的行为逻辑（进门 -> 开灯 -> 启动洗衣机）。",
    "3. 排除异常模式：日志中未出现门锁被非法撬动、烟雾报警触发、漏水检测激活或长时间无人居住却有关键设备活跃等可疑迹象。温度数据波动在合理范围内， occupancy 传感器的变化也符合家庭成员在屋内活动的常态。"
  ],
  "key_evidence": [
    "[2026-08-03T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门关闭)",
    "[2026-08-03T17:20:00] balcony_light | OnOff.OnOff = True (灯开启)",
    "[2026-08-03T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，当前行为模式正常。"
  ]
}
```

{
  "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: 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
[2026-07-17T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-17T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-17T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-17T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-17T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-17T09:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-17T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-17T09:35:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-17T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-17T09:50:47] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-17T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2560
[2026-07-17T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-17T10:05:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-17T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-07-17T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-17T10:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2559
[2026-07-17T10:20:47] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-07-17T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-17T10:35:10] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-17T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-07-17T10:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-17T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-17T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-17T11:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-17T11:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-17T11:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-17T18:11:25] living_room_light_1 | OnOff.OnOff = True
[2026-07-17T21:59:00] living_room_light_1 | OnOff.OnOff = False

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的家庭环境监控数据及傍晚时分的常规灯光操作。",
  "reasoning": [
    "1.  occupancy传感器持续报告为0（无人），且温度传感器读数在25.3°C-25.6°C之间波动，符合夏季室内正常环境温度范围，无异常升温或设备故障迹象。",
    "2.  窗户接触传感器在10:05和10:06分别记录为False（关闭状态），结合全天大部分时间occupancy为0，表明房屋处于无人或安静状态，门窗保持关闭是安全行为。",
    "3.  客厅主灯在18:11开启，21:59关闭，这完全符合居民下班回家后开灯、睡前关灯的典型生活作息规律，属于正常的人机交互行为。",
    "4.  日志中未出现门锁异常开启、烟雾报警、漏水检测触发或任何非授权访问的迹象，所有事件均在预期范围内。"
  ],
  "key_evidence": [
    "living_room_occupancy 全天大部分时间为 0，表明无人活动",
    "living_room_light_1 在 18:11 开启，符合晚间回家场景",
    "living_room_window_contact 和 bedroom_window_contact 均显示为 False (关闭)",
    "temperature_sensor 读数稳定在 25.4°C 左右，无剧烈波动"
  ],
  "recommended_actions": [
    "无需采取紧急措施",
    "继续保持当前监控策略即可"
  ]
}
```

```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常识，显示异常高温（约 254°C），且数值波动无规律，疑似传感器故障或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析日志中的温度数据，发现 living_room_temp_sensor 报告的 MeasuredValue 在 2536 到 2560 之间波动。",
    "推理步骤 2: Matter 协议及标准温度传感器通常以 0.1°C 为单位，因此该数值实际代表 253.6°C 至 256.0°C。",
    "推理步骤 3: 结合家庭环境（一室一厅住宅）和正常生活场景，室内温度绝不可能达到 250°C 以上（这将导致火灾并烧毁房屋结构）。尽管期间有人员活动迹象（灯光开启、运动传感器曾报告有人），但如此极端的温度读数与任何已知的人类活动或设备运行状态完全不符，属于典型的传感器数据漂移或硬件故障。",
    "推理步骤 4: 虽然厨房有烟雾报警器，但客厅作为独立区域出现这种极端读数，若为真实高温会触发全屋警报，而日志中未见相关联动报警，进一步证实这是传感器本身的读数错误而非真实火情。"
  ],
  "key_evidence": [
    "living_room_temp_sensor 连续多次报告温度值在 2536-2560 范围内（即 253.6°C - 256.0°C）。",
    "在同一时间段内，occupancy_sensor 和 light 的状态变化符合正常人类行为模式，与极端高温读数形成逻辑矛盾。"
  ],
  "recommended_actions": [
    "立即标记客厅温度传感器为“故障”或“不可信”状态，并在系统中暂时屏蔽其报警功能以防误报。",
    "通知用户前往客厅检查物理温度计读数，并联系技术支持更换或维修该温度传感器。",
    "建议用户在修复前手动监控客厅环境温度，确保无过热隐患。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: front_door_contact, front_door_lock
- 已选事件数: 25

## 设备事件日志
[2026-08-12T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:14:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-12T07:14:22] front_door_lock | DoorLock.LockState = 2
[2026-08-12T07:14:24] front_door_contact | BooleanState.StateValue = False
[2026-08-12T07:14:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:14:30] front_door_contact | BooleanState.StateValue = True
[2026-08-12T07:14:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-12T07:14:31] front_door_lock | DoorLock.LockState = 1
[2026-08-12T07:27:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:30:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:30:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T07:31:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:34:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:50:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:51:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T07:54:25] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-12T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T08:00:09] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-12T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-12T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-12T08:03:00] front_door_lock | DoorLock.LockState = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到正常的早晨离家行为模式，无安全风险。",
  "reasoning": [
    "1. 分析入户门操作序列：07:14:22 门锁被手动解锁（LockState=2），随后门磁显示关闭（False）并短暂开启（True），最后门锁被手动重新锁定（LockState=1）。这一系列动作符合住户出门时‘开锁-推门离开-关门-反锁’的标准物理过程。",
    "2. 验证时间逻辑与后续状态：在08:02:00，系统再次记录到门锁处于锁定状态（LockState=2）且门磁为关闭状态（False），这确认了住户在离开后门窗已安全闭合。随后的08:03:00记录可能为状态同步或二次确认，整体保持安全锁定状态。",
    "3. 结合 occupancy 传感器数据：07:14:25 玄关运动传感器检测到有人（Occupancy=1），这与开门离开的行为一致；随后在07:30至08:00期间，其他房间（如主卧、次卧）的运动传感器陆续触发，表明家庭成员正在家中正常活动（如起床、洗漱、用餐），而非入侵者潜入后的静止或异常移动。"
  ],
  "key_evidence": [
    "[2026-08-12T07:14:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 手动解锁",
    "[2026-08-12T07:14:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual) - 手动上锁",
    "[2026-08-12T08:02:00] front_door_lock | DoorLock.LockState = 2 - 最终确认为锁定状态",
    "[2026-08-12T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0 (及后续其他房间活跃) - 排除入侵后静止特征"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议继续监控早晨时段的离家/回家模式以优化自动化场景。"
  ]
}
```

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


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

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

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

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

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

## 跨天活动摘要
- 2026-08-25: entrance=232, living_room=114, bathroom=53, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-25T07:26:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T07:26:18] front_door_lock | DoorLock.LockState = 2
[2026-08-25T07:26:20] front_door_contact | BooleanState.StateValue = False
[2026-08-25T07:26:23] front_door_contact | BooleanState.StateValue = True
[2026-08-25T07:26:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-25T07:26:24] front_door_lock | DoorLock.LockState = 1
[2026-08-25T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-25T18:00:00] front_door_lock | DoorLock.LockState = 2
[2026-08-25T18:00:02] front_door_contact | BooleanState.StateValue = False
[2026-08-25T18:00:14] entrance_light | OnOff.OnOff = True
[2026-08-25T18:35:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T18:55:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T19:15:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T19:20:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T19:27:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T19:32:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-25T19:32:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-25T19:35:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T19:40:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T19:49:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-08-25T19:49:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-08-25T19:55:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T19:57:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-25T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-25T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-25T20:04:09] living_room_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": "日志显示为正常的晚间回家、居家活动及再次锁门离开的行为模式，未检测到安全威胁。",
  "reasoning": [
    "1. 分析入户门锁与传感器联动：在 07:26 和 18:00 两个时间点，用户均执行了手动上锁（LockState=2）并伴随门磁状态变化（False->True 或 False），随后玄关灯亮起。这符合典型的“离家上锁”或“晚归进门后补锁/确认锁门”的行为逻辑，且时间间隔合理，无异常频繁开关现象。",
    "2. 分析夜间活动轨迹：从 18:35 开始，玄关、客厅、卫生间等区域出现 occupancy 信号，表明有人在家活动。19:32 关闭灶具、19:49 启动洗碗机，这些是标准的晚间家务流程，且厨房窗户在关火后关闭，符合安全操作规范。",
    "3. 分析最终离开行为：20:02 门锁再次变为锁定状态（LockState=2），20:03 门磁显示关闭（False），20:04 玄关灯开启（可能是延时熄灭或误触，但结合后续无其他室内活动迹象，更可能是用户出门后的正常灯光控制或短暂停留）。此后直到日志结束，主要生活区域（客厅、卧室）虽有偶发信号但整体趋于平静，且没有检测到非法入侵特征（如深夜强行开锁、门窗异常打开等）。"
  ],
  "key_evidence": [
    "07:26 和 18:00 的手动上锁操作与门磁状态变化一致，符合日常出行规律。",
    "19:32 关闭灶具并在之后启动洗碗机，显示正常的家庭用电和生活习惯。",
    "20:02 门锁再次锁定，且无后续异常闯入迹象，确认为正常离家。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议保持现有自动化规则运行，继续监控夜间长时间无活动的异常情况以防遗漏。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy
- 已选事件数: 20

## 设备事件日志
[2026-08-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T10:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T12:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T13:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T13:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T13:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T13:33:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T13:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T13:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-01T14:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T14:03:01] bathroom_occupancy | OccupancySensing.Occupancy = 0
[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
[2026-08-01T14:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "检测到住户正常回家并开启玄关灯的行为，无安全威胁。",
  "reasoning": [
    "1. 时间分析：事件发生在下午 14:05，属于正常的居家活动时间段，非深夜或凌晨等高风险时段。",
    "2. 设备联动逻辑：14:05 门锁状态变为 '2' (通常代表已解锁)，紧接着门磁传感器显示 'False' (表示门被打开/未关闭)，随后 14:06 玄关灯亮起。这一序列符合住户使用智能锁开门进入家中的标准行为模式。",
    "3. 环境背景：客厅 occupancy 传感器在 14:07 和 14:16 持续报告有人存在，表明屋内已有人员活动或新进入的人员在客厅区域活动，排除了非法入侵后无人活动的可能性。"
  ],
  "key_evidence": [
    "14:05:00 front_door_lock | DoorLock.LockState = 2 (门锁解锁)",
    "14:05:00 front_door_contact | BooleanState.StateValue = False (门打开)",
    "14:06:00 entrance_light | OnOff.OnOff = True (进门开灯)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "可确认该日志为正常的用户回家记录。"
  ]
}
```

{
  "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 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: 38

## 设备事件日志
[2026-08-05T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-05T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-08-05T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-05T09:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-05T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-05T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-08-05T09:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T09:37:31] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-05T09:47:08] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-05T09:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-05T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-08-05T10:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-05T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-08-05T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-08-05T10:07:00] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T10:07:31] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-08-05T10:17:08] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557
[2026-08-05T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-08-05T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-05T10:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2558
[2026-08-05T10:37:31] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T10:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-05T10:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-08-05T10:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-08-05T10:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-08-05T11:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-05T11:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-05T11:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-08-05T11:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-05T18:25:17] living_room_light_1 | OnOff.OnOff = True
[2026-08-05T21:46:00] living_room_light_1 | OnOff.OnOff = False

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的设备状态更新及晚间常规照明活动。",
  "reasoning": [
    "1. 分析重点设备行为：日志中 living_room_light_1 在 18:25 开启，21:46 关闭。这符合典型的晚间居家照明习惯（下班回家开灯，睡前关灯），且时间间隔合理，无异常频繁开关或长时间无人亮灯的情况。",
    "2. 检查入侵迹象：虽然 living_room_window_contact 和 bedroom_window_contact 在 10:05-10:06 显示为 False（通常代表窗户关闭/锁定，取决于具体实现，但结合上下文看），但在 10:07 客厅灯亮起时，living_room_occupancy 传感器持续报告 Occupancy = 0（无人）。如果窗户是打开的（假设False为开），通常伴随人员进入或气流变化，但此处仅记录了温度波动（正常环境变化）和零占用，没有门锁状态改变或运动传感器触发来支持“有人闯入”的假设。更可能的解释是住户在窗外操作、或者传感器逻辑定义不同，但缺乏其他入侵证据（如门锁被撬、夜间异常移动）。",
    "3. 排除其他威胁：日志中未出现烟雾报警、漏水检测、灶具异常或一氧化碳警报。温度读数在 25.3°C - 25.6°C 之间小幅波动，属于室内环境温度正常范围，无传感器漂移或故障迹象。所有 occupancy 传感器均报告为 0，表明该时间段内主要区域无人，这与傍晚开灯后直至深夜关灯的居住模式相符（可能用户在卧室或其他未监控区域，或者用户刚回家不久）。鉴于没有矛盾的行为模式（如深夜无人亮灯、门窗异常开启伴随运动等），判定为安全。"
  ],
  "key_evidence": [
    "living_room_light_1 在 18:25 开启，21:46 关闭，符合正常作息规律。",
    "living_room_occupancy 持续报告为 0，且无门锁异常或入侵相关事件。",
    "温度数据稳定，无极端值或传感器故障特征。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议确认窗户传感器 'False' 状态的具体含义（是关闭还是打开），若 'False' 代表关闭则完全正常；若代表打开，需确认是否有住户在窗边活动但未触发运动传感器（可能是误报或传感器盲区），可考虑增加摄像头复核或调整传感器灵敏度。"
  ]
}
```

```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，随后有人进入并开启灯光，存在非法入侵或尾随风险。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-05T10:00:00 时，living_room_occupancy 传感器报告 Occupancy = 0，表明此时客厅内无人。",
    "推理步骤 2: 紧接着在 2026-08-05T10:05:00，living_room_window_contact 传感器状态变为 False（表示窗户打开），且卧室窗户也同时打开，这在无人的情况下属于异常行为模式。",
    "推理步骤 3: 在窗户打开后仅 2 分钟（10:07:00），living_room_light_1 被开启。结合之前无人但窗户打开的事实，极有可能是入侵者进入室内后开启了灯光，或者有人尾随进入。正常的住户习惯通常不会在确认无人且未进屋的情况下先开窗再开灯。"
  ],
  "key_evidence": [
    "2026-08-05T10:00:00 living_room_occupancy: Occupancy = 0 (无人)",
    "2026-08-05T10:05:00 living_room_window_contact: StateValue = False (窗户打开)",
    "2026-08-05T10:07:00 living_room_light_1: OnOff = True (灯光开启)"
  ],
  "recommended_actions": [
    "立即通知住户家中可能有人闯入，建议其尽快回家检查或联系物业/警方。",
    "远程锁定入户门锁（如果支持）并暂时关闭非必要电器以保障安全。",
    "调取该时间段附近的监控录像（如有）进行复核。"
  ]
}
```


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: SQ3
- 重点房间: balcony
- 重点设备: balcony_door_contact, balcony_laundry_washer, balcony_light
- 已选事件数: 105

## 跨天活动摘要
- 2026-07-12: balcony=3, living_room=48, dining_room=48, master_bedroom=48, second_bedroom=48, kids_room=48

## 设备事件日志
[2026-07-12T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-12T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-12T16:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2388
[2026-07-12T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-07-12T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-07-12T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-07-12T16:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-12T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-12T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-12T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-07-12T16:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-07-12T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-12T16:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-07-12T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2379
[2026-07-12T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-07-12T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-12T16:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-12T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-12T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-07-12T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-07-12T16:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-07-12T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-07-12T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-07-12T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-07-12T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-07-12T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-12T17:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-07-12T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-07-12T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-07-12T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-12T17:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-07-12T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-07-12T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-07-12T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-12T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-07-12T17:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-07-12T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-07-12T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-12T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-12T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-12T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-12T17:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-07-12T17:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-07-12T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-12T17:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-12T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2342
[2026-07-12T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-07-12T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-12T17:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-07-12T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-12T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-12T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-07-12T17:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-07-12T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-07-12T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-12T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-12T17:45:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-07-12T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-07-12T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-12T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-07-12T17:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-07-12T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-12T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-07-12T17:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-07-12T17:55:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-07-12T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-07-12T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-07-12T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-12T18:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-12T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-07-12T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-07-12T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-07-12T18:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-12T18:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-07-12T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-12T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-07-12T18:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317
[2026-07-12T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324

## 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，阳台洗衣机启动伴随门窗开启属于正常的家务活动模式。",
  "reasoning": [
    "1. 分析关键事件序列：在 2026-07-12T17:20:00，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；紧接着在 T17:21:00，阳台洗衣机进入 OperationalState 1（运行中）。",
    "2. 评估行为逻辑：用户打开阳台门（或门已开）并开启灯光后启动洗衣机，这符合典型的晾晒衣物或操作洗衣机的日常行为逻辑。虽然日志中门的状态标记为 False，但在智能家居语境下，若此前门是开的，False 可能表示“已关闭”或“接触”，或者仅仅是该时间点的快照。即便理解为门开着时启动洗衣机，这也属于正常的人类活动范围，而非入侵迹象。",
    "3. 排除其他威胁：在此期间，所有房间的运动传感器（Occupancy）均报告为 0，表明屋内无人活动，这与阳台有人活动的场景不冲突（人可能在阳台而未触发室内传感器，或传感器覆盖范围限制）。没有检测到烟雾、漏水、门锁异常开启或温度剧烈波动等危险信号。",
    "4. 结论：整个事件链表现为一次常规的家电使用过程，无恶意入侵、设备故障或安全隐患特征。"
  ],
  "key_evidence": [
    "[2026-07-12T17:20:00] balcony_door_contact | BooleanState.StateValue = False (门状态变化)",
    "[2026-07-12T17:20:00] balcony_light | OnOff.OnOff = True (灯光开启)",
    "[2026-07-12T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1 (洗衣机启动)"
  ],
  "recommended_actions": [
    "无需采取任何行动，系统运行正常。",
    "建议确认阳台门传感器的安装方向是否符合预期（True/False 定义），以确保后续对‘门是否关闭’的判断准确无误。"
  ]
}
```

{
  "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。"
  ]
}