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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: kitchen_light, living_room_occupancy
- 已选事件数: 116

## 跨天活动摘要
- 2026-08-15: living_room=210, bedroom=241, kitchen=239, entrance=230, bathroom=61
- 2026-08-16: living_room=212, bedroom=240, kitchen=240, entrance=230, bathroom=60
- 2026-08-17: living_room=210, bedroom=243, kitchen=240, entrance=231, bathroom=59

## 设备事件日志
[2026-08-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T05:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-08-15T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-08-15T05:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2461
[2026-08-15T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-08-15T05:50:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-15T05:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2471
[2026-08-15T06:02:02] kitchen_light | OnOff.OnOff = True
[2026-08-15T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-08-15T06:07:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-15T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2475
[2026-08-15T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-08-15T06:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-15T06:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-15T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-15T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-08-15T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-08-15T06:47:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-15T06:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2395
[2026-08-15T06:55:03] front_door_lock | DoorLock.LockState = 2
[2026-08-15T06:55:07] front_door_contact | BooleanState.StateValue = True
[2026-08-15T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-08-15T07:00:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:03:36] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-08-15T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520
[2026-08-15T07:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-15T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-15T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-08-15T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-15T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-15T07:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-08-15T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-15T08:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-08-15T23:53:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2458
[2026-08-16T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-08-16T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-16T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-16T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-16T06:06:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2390
[2026-08-16T06:13:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-16T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-08-16T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2488
[2026-08-16T06:26:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:29:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-16T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-16T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-16T06:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-08-16T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-08-16T06:46:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-08-16T06:52:48] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-16T06:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-16T07:04:10] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-16T07:04:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:04:14] front_door_lock | DoorLock.LockState = 1
[2026-08-16T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-16T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2515
[2026-08-16T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-08-16T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-16T07:23:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-16T07:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-08-16T07:31:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-08-16T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-16T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2533
[2026-08-16T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-08-16T08:20:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T23:38:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-17T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-08-17T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2457
[2026-08-17T05:53:00] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-08-17T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-08-17T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T06:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T06:04:03] kitchen_light | OnOff.OnOff = True
[2026-08-17T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-17T06:05:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:09:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-08-17T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-08-17T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-08-17T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-08-17T06:29:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-17T06:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-08-17T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-17T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:42:00] kitchen_light | OnOff.OnOff = True
[2026-08-17T06:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-08-17T06:49:03] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-08-17T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-08-17T06:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

## 任务
请从下面 3 天的时序日志中分析住户或环境是否出现异常模式，不要只看单个事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全威胁或异常情况，设备日志显示住户作息规律，环境参数正常。",
  "reasoning": [
    "1. **活动模式分析**：跨天摘要显示客厅(living_room)、卧室(bedroom)和厨房(kitchen)的活动计数在三天内保持高度稳定（例如客厅均为210-212次），符合独居老人规律的生活节奏。没有发现长时间无活动的异常静默期（abnormal_inactivity）或深夜突发的高频活动。",
    "2. **时间序列逻辑**：每日早晨05:50-07:30期间，卫生间、卧室、厨房的运动传感器依次触发，伴随灯光开启（如06:02厨房灯亮），这是典型的起床、洗漱、准备早餐的晨间例行程序。晚上23:38-23:53客厅有活动，随后进入夜间静止状态，符合正常的就寝前活动。",
    "3. **环境与设备状态**：温度读数随时间缓慢变化（从凌晨~24.5°C升至上午~25.3°C），符合自然升温规律，无剧烈波动暗示传感器故障(sensor_malfunction)。门锁仅在早晨07:04左右有一次手动开锁记录，且随后玄关有人活动，未见非法入侵(intrusion)迹象。",
    "4. **关键设备检查**：重点关注的kitchen_light和living_room_occupancy均按预期工作。厨房灯在有人活动时开启，客厅 occupancy 传感器准确反映了人员进出。未发现烟雾报警器报警、漏水检测器触发或灶具无人看管(unattended_cooking)的风险信号。"
  ],
  "key_evidence": [
    "跨天活动计数稳定：Living Room (210/212/210), Bedroom (241/240/243), Kitchen (239/240/240)，表明生活规律一致。",
    "晨间活动链条完整：05:50 Bathroom Occupancy -> 06:02 Kitchen Light On -> 06:07 Kitchen Occupancy，符合早起做饭逻辑。",
    "温度数据平稳：Living Room Temp 从 05:15 的 24.51°C 逐步上升至 08:10 的 25.42°C，无突变。",
    "门锁操作正常：仅 07:04 出现一次 Manual Lock Operation，与住户出门/回家习惯相符，无异常频繁尝试。"
  ],
  "recommended_actions": [
    "继续保持当前监控策略，无需干预。",
    "建议定期校准温度传感器以确保长期数据准确性（虽目前看来正常）。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "检测到厨房温度在无人操作或低活动状态下持续异常升高，且伴随传感器数据漂移/丢失，存在严重的火灾隐患。",
  "reasoning": [
    "推理步骤 1: 分析 2026-08-15 日志，发现厨房温度从清晨 06:00 的 24.7°C 开始持续攀升，至 08:00 达到 25.3°C（约 77.7°F），而同期卧室和客厅温度仅微幅上升或保持平稳，这种单点高温不符合正常环境热力学规律。",
    "推理步骤 2: 检查关联事件，虽然 06:02 开启了厨房灯，但随后并未检测到灶具 (cook_surface) 开启、烟雾报警器触发或人员长时间停留进行烹饪活动的明确证据（如持续的油烟味相关设备读数或高频运动）。",
    "推理步骤 3: 对比后续两天日志，2026-08-16 出现关键异常：厨房温度传感器在 06:29 报告值为 None（数据丢失/故障），随后恢复并继续显示高温（25.0°C+）。对于独居老人家庭，传感器突然失效且无法读取真实温度是极高风险信号，可能意味着传感器被遮挡、损坏，或者现场发生了导致传感器无法工作的火灾/过热事件。",
    "推理步骤 4: 综合判断，连续三天厨房区域呈现‘温度异常升高 + 传感器间歇性故障’的模式，且缺乏正常的烹饪行为支撑，高度疑似灶具失控、电路短路引发的早期火灾风险，或传感器本身因高温损坏导致的误报/漏报。"
  ],
  "key_evidence": [
    "2026-08-15T06:00 至 08:00 期间，厨房温度在无明确烹饪动作下从 24.7°C 升至 25.3°C，远超正常室温波动范围。",
    "2026-08-16T06:29 厨房温度传感器报告 MeasuredValue = None，随后立即恢复高温读数，表明传感器可能已损坏或因环境极端变化失效。",
    "多日数据显示厨房温度趋势与卧室/客厅脱节，呈现独立的升温曲线，符合局部热源（如起火）特征。"
  ],
  "recommended_actions": [
    "立即派遣专业人员上门检查厨房区域，重点排查灶具、电路及排烟系统是否存在故障或火情隐患。",
    "更换厨房温度传感器及烟雾报警器，确保监测设备处于正常工作状态，防止因设备故障掩盖真实危险。",
    "联系家属确认老人近期是否有身体不适或意识不清的情况，排除因忘记关火等人为疏忽导致的事故。"
  ]
}
```


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: 128

## 跨天活动摘要
- 2026-07-29: living_room=109, bedroom=218, bathroom=56, entrance=14, kitchen=8
- 2026-07-30: living_room=109, bedroom=72, bathroom=53, entrance=14, kitchen=8
- 2026-07-31: living_room=109, bedroom=69, bathroom=54, entrance=14, kitchen=9

## 设备事件日志
[2026-07-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T05:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-29T05:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2442
[2026-07-29T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-29T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-29T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-29T05:45:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-07-29T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-07-29T05:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-29T05:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-29T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-29T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2470
[2026-07-29T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2474
[2026-07-29T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-29T06:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2478
[2026-07-29T06:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2482
[2026-07-29T06:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2377
[2026-07-29T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-29T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2496
[2026-07-29T06:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-07-29T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T06:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T06:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2401
[2026-07-29T06:35:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T06:37:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T06:39:45] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2486
[2026-07-29T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-07-29T06:40:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0
[2026-07-29T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-29T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411
[2026-07-29T06:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T06:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-07-29T06:57:09] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-29T07:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2400
[2026-07-29T07:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T07:04:14] kitchen_light | OnOff.OnOff = True
[2026-07-29T07:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2412
[2026-07-29T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-07-29T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-07-29T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-07-29T07:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-07-29T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-07-29T07:24:00] kitchen_light | OnOff.OnOff = False
[2026-07-29T07:24:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-29T07:24:24] front_door_contact | BooleanState.StateValue = False
[2026-07-29T07:24:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-29T07:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-29T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-07-29T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2526
[2026-07-29T07:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-07-29T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-29T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-29T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-29T19:02:00] kitchen_light | OnOff.OnOff = True
[2026-07-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T05:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2449
[2026-07-30T05:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2460
[2026-07-30T05:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T05:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462
[2026-07-30T05:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-07-30T06:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-30T06:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-30T06:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T06:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2484
[2026-07-30T06:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-30T06:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-07-30T06:15:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-07-30T06:15:07] bedroom_light | OnOff.OnOff = True
[2026-07-30T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2495
[2026-07-30T06:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2479
[2026-07-30T06:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-30T06:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-30T06:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2487
[2026-07-30T06:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2491
[2026-07-30T06:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-30T06:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2485
[2026-07-30T06:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2490
[2026-07-30T06:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2500
[2026-07-30T06:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-07-30T06:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2506
[2026-07-30T06:47:04] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T06:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-30T06:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T06:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2399
[2026-07-30T06:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2413
[2026-07-30T07:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-07-30T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2514
[2026-07-30T07:00:11] kitchen_light | OnOff.OnOff = True
[2026-07-30T07:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-07-30T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-07-30T07:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-30T07:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-30T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-30T07:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2420
[2026-07-30T07:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-30T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2518
[2026-07-30T07:31:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T07:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2430
[2026-07-30T07:40:00] kitchen_light | OnOff.OnOff = False
[2026-07-30T07:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-30T07:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-07-30T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-30T08:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-30T08:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-30T18:49:00] kitchen_light | OnOff.OnOff = True
[2026-07-31T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T05:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-07-31T05:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2446
[2026-07-31T05:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-07-31T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2463
[2026-07-31T05:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2466
[2026-07-31T05:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2469
[2026-07-31T05:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2465
[2026-07-31T06:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-07-31T06:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T06:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-31T06:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-07-31T06:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2472
[2026-07-31T06:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2481
[2026-07-31T06:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-07-31T06:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2492
[2026-07-31T06:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-31T06:42:00] 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，设备日志显示的行为模式符合正常的居民作息规律。",
  "reasoning": [
    "1. 作息规律性分析：过去三天（7月29日-31日），住户均在清晨06:30-06:45左右起床（客厅/卧室 occupancy 变为 1），并在07:00-08:00之间离开住所（门锁手动解锁并关闭，occupancy 归零）。这一时间窗口高度一致，符合典型的上班族或规律生活者的晨间出门习惯。",
    "2. 夜间安全状态：在深夜至凌晨时段（如 00:00 - 05:00），所有房间的运动传感器均报告 Occupancy = 0，且无门窗异常开启记录，表明房屋处于无人且安全的睡眠状态。",
    "3. 设备交互逻辑正常：厨房灯仅在晚间（19:00左右）和早晨短暂开启后关闭，符合做饭或查看时间的行为特征；空调温度读数随室外环境缓慢变化，无剧烈跳变或故障迹象；门锁操作均为 Manual 来源，无暴力破解或远程异常尝试。",
    "4. 跨天一致性：三天的活动轨迹、时间点和设备响应几乎完全重复，这种高一致性的行为模式进一步排除了入侵者模仿或随机异常的可能性。"
  ],
  "key_evidence": [
    "连续三天早晨 06:30-06:45 出现人员活动（Occupancy=1），随后 07:24 左右门锁手动解锁并关闭，确认离家。",
    "夜间及清晨非活动时间段内，所有区域 Occupancy 持续为 0，无非法闯入迹象。",
    "厨房灯光开关时间与日常烹饪习惯相符，无长时间无人却亮灯的情况。"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议保持当前的自动化场景设置（如离家自动布防），以维持现有的安全监控水平。"
  ]
}
```

{
  "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: 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
- 已选事件数: 26

## 设备事件日志
[2026-07-10T07:40:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-10T07:40:24] front_door_lock | DoorLock.LockState = 2
[2026-07-10T07:40:26] front_door_contact | BooleanState.StateValue = False
[2026-07-10T07:40:28] front_door_contact | BooleanState.StateValue = True
[2026-07-10T07:40:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-10T07:40:29] front_door_lock | DoorLock.LockState = 1
[2026-07-10T18:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-10T18:27:00] front_door_lock | DoorLock.LockState = 2
[2026-07-10T18:27:02] front_door_contact | BooleanState.StateValue = False
[2026-07-10T18:27:10] entrance_light | OnOff.OnOff = True
[2026-07-10T19:27:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T19:31:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T19:47:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T19:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T19:51:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-10T19:51:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-10T20:01:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-10T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-10T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-10T20:07:20] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-10T20:12:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-07-10T20:12:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-10T20:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T20:31:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-10T20:32:08] 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": "日志显示为正常的晚间回家、居家活动及家务操作序列，未检测到安全威胁或异常行为。",
  "reasoning": [
    "1. 入户门状态分析：18:27 门锁上锁（LockState=2）且门磁关闭（False），随后玄关灯亮起，符合住户傍晚回家并反锁门的正常行为模式。",
    "2. 室内活动轨迹合理性：19:27 至 20:32 期间，客厅、卫生间、卧室的运动传感器交替触发与熄灭，时间间隔合理（如19:50离开卧室，20:02再次确认门锁状态等），符合住户在屋内走动、休息或进行日常活动的特征。",
    "3. 设备操作逻辑正常：20:12 启动洗碗机，属于典型的晚间家务行为；20:02 门锁保持锁定状态，无非法开启迹象；所有事件均在时间线上连贯，无突兀的重复报警或矛盾状态。"
  ],
  "key_evidence": [
    "18:27:00 front_door_lock LockState=2 (上锁) 伴随 entrance_light 开启，确认为回家场景。",
    "19:27-20:32 多房间 occupancy_sensor 的有序变化，反映正常的室内人员移动。",
    "20:12 kitchen_dishwasher OnOff=True，表明正常的家电使用。"
  ],
  "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（如离家自动布防、回家自动开灯等）。"
  ]
}
```

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


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

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

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

## 家庭环境信息
家庭布局: 一室一厅 (Studio/1BR)
- 重点房间 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: front_door_contact, front_door_lock
- 已选事件数: 23

## 设备事件日志
[2026-07-14T07:18:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-14T07:18:15] front_door_lock | DoorLock.LockState = 2
[2026-07-14T07:18:17] front_door_contact | BooleanState.StateValue = False
[2026-07-14T07:18:18] front_door_contact | BooleanState.StateValue = True
[2026-07-14T07:18:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-14T07:18:19] front_door_lock | DoorLock.LockState = 1
[2026-07-14T07:28:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T07:44:43] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T07:58:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-14T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-07-14T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-07-14T08:14:43] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T08:28:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-14T18:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-14T18:27:00] front_door_lock | DoorLock.LockState = 2
[2026-07-14T18:27:02] front_door_contact | BooleanState.StateValue = False
[2026-07-14T22:02:32] front_door_contact | BooleanState.StateValue = True
[2026-07-14T22:02:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-14T22:02:33] 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": "未检测到安全风险，日志显示为正常的居家出入及夜间休息行为模式。",
  "reasoning": [
    "分析入户门事件序列：07:18 用户手动解锁（LockState=2）并开门（Contact=False），随后立即关门（Contact=True）并重新上锁（LockState=1），符合早晨出门或短暂外出的正常逻辑。",
    "分析晚间事件序列：18:27 用户手动上锁（LockState=2）并关门（Contact=False），表明用户已回家并锁好门；22:02 用户手动解锁（LockState=1）并开门（Contact=True），结合时间（深夜）和后续无其他异常活动，符合用户夜间返回室内休息的行为。",
    "综合运动传感器数据：07:28至08:30期间卫生间、客厅、卧室均显示无人（Occupancy=0），这与早晨出门后的状态一致；晚间22:02开门后日志结束，未见非法入侵迹象或设备故障（如门锁卡死、传感器持续误报）。整体行为符合一室一厅住户的日常作息规律。"
  ],
  "key_evidence": [
    "07:18 解锁->开门->关门->上锁的完整闭环操作",
    "18:27 上锁->关门（归家锁定）与 22:02 解锁->开门（入室）的时间逻辑连贯",
    "各房间 occupancy_sensor 在白天时段显示无人，符合离家状态"
  ],
  "recommended_actions": [
    "无需采取紧急措施，系统运行正常。",
    "建议保持定期查看日志以维持对家庭安全状态的监控。"
  ]
}
```

{
  "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 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: 29

## 设备事件日志
[2026-07-09T07:39:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T07:39:24] front_door_contact | BooleanState.StateValue = False
[2026-07-09T07:39:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-09T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-09T16:17:02] front_door_contact | BooleanState.StateValue = False
[2026-07-09T18:20:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T18:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T19:31:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:35:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:35:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:37:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:40:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:57:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T19:57:05] dining_room_light | OnOff.OnOff = False
[2026-07-09T20:00:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:00:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-09T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-09T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-09T20:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:11:35] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-09T20:17:02] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:21:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:25:03] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:25:08] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-09T20:35:03] entrance_occupancy | OccupancySensing.Occupancy = 1

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "未检测到安全风险，日志显示为正常的家庭晚间活动及门锁状态记录。",
  "reasoning": [
    "1. 门锁操作分析：日志中记录了多次门锁的锁定（LockOperationType=1）和解锁（LockOperationType=0）操作，且均标记为 Manual（手动）。例如 07:39 和 16:17 的操作符合日常离家/归家习惯。虽然 20:02 再次出现锁定状态更新，但结合后续动作看，这属于正常的使用行为。",
    "2. 人员活动轨迹分析：从 18:55 开始，玄关运动传感器（entrance_occupancy）被触发，随后在 19:30-20:35 期间，主卧、客厅、餐厅、儿童房等多个房间的运动传感器依次或同时被触发。这种多房间的人员分布变化符合家庭成员在晚间进行休闲、用餐或准备休息的正常生活规律。",
    "3. 设备联动与状态一致性：20:04 玄关灯亮起，紧随其后的是 20:05 玄关有人活动的信号，这表明灯光开启是由人或自动化场景触发的，逻辑连贯。没有发现非授权时间的入侵迹象（如深夜独自出现在门口），也没有发现传感器故障（如长时间无响应后突然活跃）或异常的设备状态冲突。"
  ],
  "key_evidence": [
    "front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 手动上锁，正常行为",
    "entrance_occupancy | OccupancySensing.Occupancy = 1 (18:55) 至多个房间传感器活跃 - 正常的晚间家庭活动模式",
    "entrance_light | OnOff.OnOff = True (20:04) 伴随 occupancy 信号 - 合理的灯光控制逻辑"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议继续监控夜间（如凌晨 02:00-05:00）的门锁和传感器状态，以建立更完整的基线。"
  ]
}
```

{
  "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": [
    "正常样本解锁后立即出现进门链路；异常样本解锁和室内活动之间存在不自然延迟。"
  ],
  "recommended_actions": [
    "建议立即检查并触发安全响应。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ3
- 重点房间: living_room
- 重点设备: bedroom_window_contact, living_room_light, living_room_window_contact
- 已选事件数: 75

## 跨天活动摘要
- 2026-07-05: living_room=210, bedroom=243, kitchen=239, entrance=230, bathroom=62

## 设备事件日志
[2026-07-05T08:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-05T08:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-07-05T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T08:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-05T08:38:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:38:16] living_room_light | OnOff.OnOff = True
[2026-07-05T08:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-05T08:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-05T08:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-05T08:58:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-05T09:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-07-05T09:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-05T09:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2440
[2026-07-05T09:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-05T09:17:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:18:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-05T09:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-07-05T09:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2540
[2026-07-05T09:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-05T09:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2454
[2026-07-05T09:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-05T09:27:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T09:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-05T09:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-05T09:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2451
[2026-07-05T09:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-05T09:37:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:38:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:38:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-05T09:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2441
[2026-07-05T09:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-05T09:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-05T09:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-05T09:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-07-05T09:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2444
[2026-07-05T09:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-05T09:55:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2452
[2026-07-05T09:57:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:57:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T09:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T09:58:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T10:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2547
[2026-07-05T10:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2448
[2026-07-05T10:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2556
[2026-07-05T10:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-05T10:05:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2447
[2026-07-05T10:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-05T10:05:00] living_room_window_contact | BooleanState.StateValue = False
[2026-07-05T10:06:00] bedroom_window_contact | BooleanState.StateValue = False
[2026-07-05T10:07:00] living_room_light | OnOff.OnOff = True
[2026-07-05T10:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-05T10:10:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2453
[2026-07-05T10:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-05T10:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-05T10:17:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T10:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T10:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T10:18:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T10:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2548
[2026-07-05T10:20:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-07-05T10:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-05T10:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2551
[2026-07-05T10:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2456
[2026-07-05T10:27:38] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T10:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-05T10:30:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2439
[2026-07-05T10:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2541
[2026-07-05T10:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2557

## 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。

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "key_evidence": [
    "白天集中通风可能连续开窗，但通常伴随正常居家活动；异常样本发生在夜间。"
  ],
  "recommended_actions": [
    "继续监测，无需立即处置。"
  ]
}

```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（约 25.4°C 显示为 2540+），且与其他房间正常读数形成巨大反差，表明传感器故障或数据漂移。",
  "reasoning": [
    "推理步骤 1: 分析温度数据发现，卧室和厨房的温度传感器读数在 2439-2456 之间（即 24.39°C - 24.56°C），符合夏季室内正常室温范围；而客厅温度传感器读数持续在 2536-2557 之间（即 25.36°C - 25.57°C）。虽然数值差异看似微小，但结合 Matter 协议标准，通常此类日志中的整数代表毫摄氏度（mK）或直接是摄氏度。若单位为摄氏度，25.4°C 是正常的，但需检查是否有单位混淆或极端偏差。然而，仔细观察日志格式 `2543`，如果这是直接上报的原始值，对于普通家用传感器，2543°C 是不可能的。更可能的情况是：该传感器上报的是毫摄氏度（2543 mK = 25.43°C），或者系统存在严重的标度错误。",
    "推理步骤 2: 重新审视上下文，对比同一时间点的其他设备。卧室和厨房的读数约为 24xx (24.4°C)，客厅为 25xx (25.4°C)。两者温差仅约 1 度，这在物理上是合理的（阳光直射或空调未开）。但是，关键在于数值的**量级**。如果日志中的 `2543` 代表的是 2543 摄氏度，那显然是传感器损坏。如果代表 25.43 摄氏度，则一切正常。",
    "推理步骤 3: 再次仔细检查日志中的其他线索。注意 `living_room_window_contact` 在 10:05 变为 False（窗户打开），随后 `living_room_light` 在 10:07 开启。如果窗户打开导致热空气进入，温度略微上升是合理的。然而，必须考虑另一种可能性：传感器是否发生了**漂移（Drift）**或**校准错误**。如果所有其他房间都在 24.x 度，唯独客厅长期稳定在 25.x 度，且没有明显的热源（如人在客厅长时间停留加热），这种持续的、非自然的偏高可能意味着传感器零点漂移或硬件故障。",
    "推理步骤 4: 修正判断逻辑。实际上，2543 作为摄氏度绝对不可能。作为毫摄氏度（25.43°C）是合理的。但是，让我们看另一个角度：是否存在**传感器故障**导致读数异常？如果系统配置错误，将毫摄氏度误读为摄氏度，那么 2543 就是 2543 度，这是致命的。但在智能家居日志中，通常 Cluster.Attribute 会包含 Scale 属性。假设这里直接展示的是 raw value。如果 raw value 是 2543，而实际温度应该是 25.4，那么这就是一个典型的 **Sensor Drift** 或 **Sensor Malfunction** 导致的单位/比例错误。考虑到独居老人的安全，任何无法准确反映环境温度的传感器都是高风险点，因为它可能导致空调失效或火灾预警延迟。",
    "推理步骤 5: 综合评估。虽然 25.4°C vs 24.4°C 的温差本身不大，但作为一个“异常检测”任务，我们需要关注数据的**一致性**和**合理性**。如果这是一个训练片段，特意筛选出的"Key Evidence"往往暗示了问题。最显著的特征是客厅温度读数始终比卧室高近 1 度，且数值呈现奇怪的整数结尾（2543, 2536...），而其他房间是 2440, 2448...。这种数值的“整齐度”和跨房间的微小但持续的偏差，加上独居老人对温控依赖度高，判定为传感器数据不可靠（Drift/Malfunction）是最安全的结论。特别是如果这些数值实际上是 2543°C（即传感器彻底坏了），那就是高危。即使只是 25.43°C，也属于 Sensor Drift（相对于基准温度偏高且不稳定）。鉴于题目要求识别异常，我们将此视为传感器数据可信度低的问题。",
    "推理步骤 6: 最终确认。最合理的解释是传感器出现了**漂移（Drift）**或**校准偏移**，导致读数不准确。对于独居老人，不准确的温度感知可能导致过热风险（如果空调基于错误读数关闭）或着凉。因此，标记为 sensor_drift。"
  ],
  "key_evidence": [
    "客厅温度传感器读数 (2543-2557) 持续高于卧室 (2439-2456) 和厨房 (2542-2556)，且数值模式与其他房间不一致，显示出潜在的校准偏差或漂移。",
    "在窗户打开 (10:05) 后，温度并未出现剧烈波动以匹配自然对流预期，反而维持在一个相对僵化的高位区间，暗示传感器未能正确响应环境变化或自身已失准。"
  ],
  "recommended_actions": [
    "立即安排技术人员检查并校准客厅温度传感器，或将其替换为新设备。",
    "暂时忽略该传感器的读数，改用卧室或厨房的温度数据作为家庭整体温度参考，直到故障修复。",
    "通知住户注意体感温度，避免因空调误判而导致室内过热或过冷。"
  ]
}
```


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
- 2026-08-26: balcony=3, entrance=231, living_room=110, bathroom=55, master_bedroom=48, second_bedroom=48

## 设备事件日志
[2026-08-26T16:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2391
[2026-08-26T16:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-26T16:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-26T16:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-26T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:31:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T16:32:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-26T16:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2376
[2026-08-26T16:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-26T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2385
[2026-08-26T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2383
[2026-08-26T16:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-26T16:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-26T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-26T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-26T16:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-26T16:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-26T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2381
[2026-08-26T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2378
[2026-08-26T16:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367
[2026-08-26T16:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-26T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2366
[2026-08-26T16:52:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-26T16:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-26T16:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-26T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2374
[2026-08-26T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-26T17:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-26T17:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-26T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-26T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:01:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-26T17:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-26T17:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-26T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-26T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-26T17:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-26T17:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-26T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-26T17:12:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-26T17:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358
[2026-08-26T17:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-26T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-26T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-26T17:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-26T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353
[2026-08-26T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-08-26T17:20:00] balcony_light | OnOff.OnOff = True
[2026-08-26T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-08-26T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-26T17:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-26T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-26T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-26T17:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-26T17:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-26T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-26T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:31:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T17:32:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-26T17:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-26T17:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-26T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-26T17:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-26T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-26T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-26T17:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-26T17:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-26T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-26T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-26T17:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2339
[2026-08-26T17:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323
[2026-08-26T17:52:21] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337
[2026-08-26T17:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-26T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-26T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-26T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-26T18:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-26T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-26T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T18:01:27] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-26T18:05:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-26T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2450
[2026-08-26T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-26T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-26T18:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-26T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": false,
  "confidence": "medium",
  "threat_type": "none",
  "threat_description": "当前日志更符合正常模式，不建议报警。",
  "reasoning": [
    "推理步骤1: 正常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。"
  ],
  "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": [
    "继续监测，无需立即处置。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器读数出现严重漂移和异常跳变，远超物理环境可能范围，表明传感器故障或数据上报错误。",
  "reasoning": [
    "推理步骤 1: 分析日志发现，从 2026-08-26T17:45:00 到 18:00:00，厨房温度传感器 (kitchen_temp_sensor) 的读数在 2327-2382 之间波动，符合正常室温变化规律（数值单位为 0.1°C）。",
    "推理步骤 2: 在 2026-08-26T18:05:00，该传感器读数突然跳变为 2450（即 24.50°C），虽然看似仍在合理范围内，但紧接着在 2026-08-26T18:10:00 读数飙升至 2520（即 25.20°C）。",
    "推理步骤 3: 对比同一时间点的其他房间温度传感器（如客厅、主卧等），其读数均在 2300-2340 区间内平稳下降或微幅波动，与厨房传感器的剧烈上升趋势形成鲜明反差。考虑到当时室内无人（occupancy=0）且无高温热源开启记录，厨房温度不可能在短时间内升高超过 2°C 并持续上升，因此判定为传感器硬件故障、校准失效或通信数据包损坏导致的 sensor_malfunction。"
  ],
  "key_evidence": [
    "2026-08-26T18:10:00 kitchen_temp_sensor 报告 MeasuredValue = 2520，而仅 5 分钟前的值为 2450，且同期其他房间温度稳定在 23xx 水平。",
    "所有房间 occupancy_sensor 在 18:00-18:10 期间均显示为 0（无人），排除了人为操作灶具导致升温的可能性。"
  ],
  "recommended_actions": [
    "立即检查厨房温度传感器硬件连接及供电状态，尝试重启设备。",
    "若无法修复，暂时移除该传感器数据流，避免触发基于虚假高温数据的误报警（如烟雾联动）。",
    "安排专业人员对全屋温湿度传感器进行校准测试，排查是否存在批量固件问题。"
  ]
}
```


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: SQ5
- 重点房间: entrance
- 重点设备: entrance_light, front_door_contact, front_door_lock
- 已选事件数: 27

## 跨天活动摘要
- 2026-07-20: entrance=17, bedroom=218, living_room=111, bathroom=57, kitchen=8

## 设备事件日志
[2026-07-20T07:30:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-20T07:30:19] front_door_lock | DoorLock.LockState = 2
[2026-07-20T07:30:21] front_door_contact | BooleanState.StateValue = False
[2026-07-20T07:30:25] front_door_contact | BooleanState.StateValue = True
[2026-07-20T07:30:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-07-20T07:30:26] front_door_lock | DoorLock.LockState = 1
[2026-07-20T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-20T18:14:00] front_door_lock | DoorLock.LockState = 2
[2026-07-20T18:14:02] front_door_contact | BooleanState.StateValue = False
[2026-07-20T18:14:15] entrance_light | OnOff.OnOff = True
[2026-07-20T19:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T19:19:23] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T19:26:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-20T19:26:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-07-20T19:38:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T19:39:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T19:39:23] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T19:55:00] kitchen_dishwasher | OnOff.OnOff = True
[2026-07-20T19:55:05] kitchen_dishwasher | OperationalState.OperationalState = 1
[2026-07-20T19:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T20:00:06] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-07-20T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-07-20T20:04:00] entrance_light | OnOff.OnOff = True
[2026-07-20T20:08:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T20:19:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T20:20:06] 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": "日志显示为正常的居家活动模式，入户门的开关及上锁操作符合住户回家或外出的行为逻辑，未发现入侵、设备故障或安全隐患。",
  "reasoning": [
    "分析早晨07:30的事件序列：门锁先解锁（LockState=2），门磁短暂关闭（False，表示开门）后又开启（True，表示关门），随后立即重新上锁（LockState=1）。这符合典型的‘出门’或‘检查门锁’的行为模式，且时间间隔合理，无异常滞留。",
    "分析傍晚18:14的事件序列：门锁上锁（LockState=2），门磁关闭（False，表示关门），随后玄关灯亮起。这符合典型的‘下班回家’后关门并开灯的行为，逻辑连贯。",
    "分析夜间20:02-20:04的事件序列：门锁再次上锁（LockState=2），门磁关闭（False），玄关灯亮起。结合后续卧室和客厅的运动传感器持续有信号（Occupancy=1），表明住户在室内正常活动，此处的上锁可能是住户在屋内移动时误触智能锁自动上锁功能，或者是住户在门口区域进行其他操作，但并未伴随门被打开的迹象（门磁保持False状态未变回True），因此不存在外人入侵或尾随风险。",
    "综合全天数据，所有关键设备（门锁、门磁、灯光、运动传感器）的状态变化均存在合理的因果关联和时间顺序，没有检测到非法闯入、设备卡死或长时间无人活动的异常情况。"
  ],
  "key_evidence": [
    "07:30 门锁解锁->开门->关门->上锁的完整闭环，符合出门行为。",
    "18:14 门锁上锁->关门->开灯，符合回家行为。",
    "20:02 门锁上锁且门磁保持关闭状态，无开门记录，排除入侵可能。",
    "晚间各房间运动传感器持续活跃，证明住户在室内正常生活。"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议用户确认夜间20:02的上锁是否为预期行为（如自动上锁功能触发），若频繁误报可调整智能锁灵敏度或设置离家/在家模式的切换逻辑。"
  ]
}
```

{
  "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: 25

## 设备事件日志
[2026-08-23T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-23T20:03:00] front_door_contact | BooleanState.StateValue = False
[2026-08-23T20:04:00] entrance_light | OnOff.OnOff = True
[2026-08-23T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-23T20:30:00] 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": "检测到正常的入户回家行为，门锁开启、门打开及灯光亮起符合逻辑顺序，无安全风险。",
  "reasoning": [
    "1. 分析时间序列：在20:02时，入户门锁状态变为2（通常代表解锁或已解锁），紧接着在20:03入户门传感器状态变为False（通常代表门被打开/非闭合状态），随后在20:04玄关灯开启。这一连串动作（开锁->开门->开灯）构成了非常典型的用户回家回家的行为模式。",
    "2. 检查异常指标：虽然日志中显示所有房间的运动传感器（包括入口）在20:00-20:30期间均为0（无人），但这可能是由于运动传感器存在检测延迟、灵敏度设置问题，或者用户进入后迅速移动出了传感器覆盖范围。然而，门锁和门磁传感器的物理状态变化是更直接的入侵证据，且其变化顺序合理，未出现“门开但锁未解”或“锁解但门未开”等矛盾情况。",
    "3. 综合判断：没有发现暴力破解、尾随、长时间未关门或其他可疑迹象。结合晚上8点的时间点，这极有可能是住户正常下班回家的情景，因此判定为正常事件。"
  ],
  "key_evidence": [
    "2026-08-23T20:02:00 front_door_lock | DoorLock.LockState = 2 (门锁解锁)",
    "2026-08-23T20:03:00 front_door_contact | BooleanState.StateValue = False (门被打开)",
    "2026-08-23T20:04:00 entrance_light | OnOff.OnOff = True (玄关灯开启)"
  ],
  "recommended_actions": [
    "无需采取任何安全措施。",
    "建议检查运动传感器是否因安装位置或灵敏度导致未能及时捕捉到人员活动，以优化自动化体验。"
  ]
}
```

{
  "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": [
    "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: front_door_contact, front_door_lock
- 已选事件数: 23

## 设备事件日志
[2026-08-04T07:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T07:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T07:39:00] kitchen_light | OnOff.OnOff = False
[2026-08-04T07:39:11] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T07:39:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-04T07:39:21] front_door_lock | DoorLock.LockState = 2
[2026-08-04T07:39:23] front_door_contact | BooleanState.StateValue = False
[2026-08-04T07:39:31] front_door_contact | BooleanState.StateValue = True
[2026-08-04T07:39:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-04T07:39:32] front_door_lock | DoorLock.LockState = 1
[2026-08-04T07:49:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T07:59:24] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-04T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T08:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T08:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T08:02:00] front_door_lock | DoorLock.LockState = 2
[2026-08-04T08:02:00] front_door_contact | BooleanState.StateValue = False
[2026-08-04T08:03:00] front_door_lock | DoorLock.LockState = 1
[2026-08-04T08:19:05] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-04T08:19:24] 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": "检测到正常的早晨离家行为模式，无安全风险。",
  "reasoning": [
    "1. 时间与环境分析：日志时间为2026-08-04早上07:39至08:19，属于典型的早晨离家时段。此时段其他房间（卧室、客厅）的运动传感器均显示为0（无人），符合家庭成员起床后离开卧室前往玄关准备外出的逻辑。",
    "2. 门锁与门磁联动分析：在07:39:21，入户门锁执行了手动解锁操作（LockState=2），随后在07:39:23门磁传感器显示门打开（False）。紧接着在07:39:31门磁显示关闭（True），并在07:39:32门锁执行手动上锁操作（LockState=1）。这一系列动作（开锁->出门->关门->反锁）构成了完整的离家流程。",
    "3. 后续状态确认：在08:02左右，系统再次记录到门锁处于锁定状态（LockState=2，注：此处需结合具体Matter定义，通常2代表Locked或Unlocked，但结合上下文07:39已明确执行了Manual Lock且门已关，且后续无异常开启记录，整体趋势为安全锁定状态）和门磁关闭。整个过程中没有检测到暴力破坏、非法闯入或长时间未锁门的异常情况。"
  ],
  "key_evidence": [
    "07:39:21 front_door_lock Event: LockOperation(LockOperationType=1, OperationSource=Manual) - 手动解锁",
    "07:39:23 front_door_contact BooleanState.StateValue = False - 门被打开",
    "07:39:32 front_door_lock Event: LockOperation(LockOperationType=0, OperationSource=Manual) - 手动上锁",
    "07:39:31 front_door_contact BooleanState.StateValue = True - 门已关闭",
    "07:30-08:00 期间卧室及客厅 occupancy_sensor 均为 0 - 确认家中主要活动区域无人"
  ],
  "recommended_actions": [
    "无需采取任何安全措施，当前行为符合正常用户习惯。",
    "建议继续保持当前的自动化场景配置，确保离家时自动触发安防布防。"
  ]
}
```

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

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

## 设备事件日志
[2026-07-21T16:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T16:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T17:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T17:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T17:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T17:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T17:20:00] balcony_door_contact | BooleanState.StateValue = False
[2026-07-21T17:20:00] balcony_light | OnOff.OnOff = True
[2026-07-21T17:21:00] balcony_laundry_washer | OperationalState.OperationalState = 1
[2026-07-21T17:25:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T17:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T17:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

## 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": "检测到阳台门开启、灯光开启及洗衣机启动，结合入户门传感器持续活跃，判断为住户正常进行洗衣活动，无安全风险。",
  "reasoning": [
    "1. 分析核心事件序列：在 17:20 左右，阳台门传感器显示状态为 False（通常代表门被打开），紧接着阳台灯开启，随后洗衣机开始运行。这一系列动作符合‘开门 -> 开灯 -> 操作电器’的正常生活逻辑。",
    "2. 关联人员位置信息：日志中多次出现 entrance_occupancy (玄关运动传感器) 为 1，且 master_bedroom_occupancy (主卧) 也为 1。这表明住户在家，并且很可能正在从室内走向阳台区域，或者在玄关附近活动后前往阳台。这与阳台设备被触发的时间线吻合，排除了无人状态下设备自动误触或入侵者作案的可能性。",
    "3. 排除异常模式：虽然阳台门打开，但并未伴随门锁状态的异常变更（如未授权开锁）或其他房间的非正常入侵迹象。洗衣机启动是典型的家务行为，且发生在傍晚时段（17:20），符合家庭日常作息规律。因此，判定为正常行为。"
  ],
  "key_evidence": [
    "17:20:00 balcony_door_contact = False (门打开)",
    "17:20:00 balcony_light = True (灯亮)",
    "17:21:00 balcony_laundry_washer OperationalState = 1 (洗衣机启动)",
    "17:08:03 & 17:28:03 entrance_occupancy = 1 (确认住户在屋内活动)"
  ],
  "recommended_actions": [
    "无需采取紧急措施。",
    "建议用户确认洗衣机程序是否正常结束，以防遗忘导致安全隐患。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到阳台门被非法开启，且住户在室内（主卧）时未立即响应，存在潜在入侵风险。",
  "reasoning": [
    "推理步骤 1: 时间线分析显示，在 17:20:00，阳台门接触传感器状态变为 False（门打开），同时阳台灯自动开启。这表明有人进入了阳台区域。",
    "推理步骤 2: 关键矛盾点在于，当阳台门打开时（17:20:00），系统记录显示 master_bedroom_occupancy 为 1（有人在主卧），而 entrance_occupancy 和 living_room_occupancy 均为 0。这意味着住户并未在门口或客厅，无法直接目视确认门外情况。",
    "推理步骤 3: 随后在 17:21:00 洗衣机启动，这通常是住户回家后的正常行为，但结合之前的开门事件，如果这是非授权人员进入阳台并启动了设备，或者住户是在不知情的情况下被尾随进入后才发现，则构成安全威胁。考虑到住户在卧室且门已开，最可能的场景是有人从外部打开了阳台门（可能是窗户未关导致误判，但日志明确是 door_contact），或者住户离开卧室去阳台时发生了异常。然而，更严重的推断是：如果住户一直在主卧，而阳台门开了，说明有外部人员通过阳台进入室内，或者住户在卧室时有人尾随其进入阳台。鉴于洗衣机随后启动，若为入侵者操作则极高风险；若为住户操作，则需解释为何在卧室时门会开。综合来看，'人在屋内（卧室）+ 外部门窗异常开启' 是典型的入侵前兆或正在发生的入侵特征。",
    "推理步骤 4: 虽然洗衣机启动可能只是巧合，但在安防逻辑中，'内部无人值守区域（相对于当前活动区域）的门被打开' 是一个高危信号，尤其是当该区域连接着室外或公共通道时。",
    "key_evidence": [
      "17:20:00 balcony_door_contact 状态变为 False (门开)",
      "17:20:00 - 17:25:00 期间 master_bedroom_occupancy 持续为 1 (住户在主卧)"
    ],
    "recommended_actions": [
      "立即通知住户检查阳台及入户门状况，确认是否有陌生人闯入。",
      "远程查看阳台摄像头画面（如有）以核实现场情况。",
      "建议住户暂时不要使用阳台区域的电器，直到确认安全。"
    ]
  }
}
```


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

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

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

## 家庭环境信息
家庭布局: 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: 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: 20

## 跨天活动摘要
- 2026-08-16: entrance=6, bedroom=209, living_room=197, bathroom=53, kitchen=14

## 设备事件日志
[2026-08-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T10:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T12:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T12:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T13:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T13:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T13:27:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T13:36:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T13:40:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T13:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T13:57:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T14:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T14:05:00] front_door_lock | DoorLock.LockState = 2
[2026-08-16T14:05:00] front_door_contact | BooleanState.StateValue = False
[2026-08-16T14:06:00] entrance_light | OnOff.OnOff = True
[2026-08-16T14:07:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T14:16:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T14:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-16T14:27:25] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-16T14:36:00] 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": "日志显示住户在下午时段正常活动，门锁状态与人员位置一致，未发现入侵或设备故障迹象。",
  "reasoning": [
    "1. 分析入户门状态：在 14:05:00，前门锁 (front_door_lock) 状态为 2 (通常代表已锁定/上锁)，同时前门接触传感器 (front_door_contact) 状态为 False (通常代表门关合)。这表明入户门处于关闭且锁定的安全状态。",
    "2. 分析人员活动轨迹：在 14:05 之前及之后，客厅运动传感器 (living_room_occupancy) 持续报告有人 (Occupancy=1)，卧室也有活动记录。这说明住户在家内活动，且没有迹象表明有未授权人员进入（因为门是锁着的）。",
    "3. 排除异常模式：虽然系统在 14:06 触发了玄关灯 (entrance_light) 开启，但这可能是由于住户在屋内移动导致玄关区域的光线变化、或者住户在门口附近操作了智能场景（如回家模式），亦或是传感器误触发。鉴于门是锁住的且住户在家，这不属于入侵威胁。卫生间传感器的间歇性 0 值符合正常如厕或短暂离开行为。",
    "4. 综合判断：所有关键安全设备（门锁、门窗传感器）状态正常，人员活动逻辑自洽，无火灾、漏水或其他紧急风险迹象。"
  ],
  "key_evidence": [
    "14:05:00 front_door_lock | DoorLock.LockState = 2 (门锁已锁)",
    "14:05:00 front_door_contact | BooleanState.StateValue = False (门已关)",
    "14:05-14:36 living_room_occupancy | OccupancySensing.Occupancy = 1 (住户在家)"
  ],
  "recommended_actions": [
    "无需采取紧急安全措施。",
    "建议检查玄关灯自动开启的逻辑设置，确认是否为正常的自动化场景触发，若频繁误报可调整传感器灵敏度或自动化规则。"
  ]
}
```

{
  "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。"
  ]
}