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 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 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 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: kitchen
- 重点设备: kitchen_smoke_alarm
- 已选事件数: 45

## 设备事件日志
[2026-07-05T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2503
[2026-07-05T06:59:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T07:19:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-05T07:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T07:44:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T07:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-07-05T08:03:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-07-05T08:09:07] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:23:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-05T08:29:07] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-05T08:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-07-05T08:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-07-05T08:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-05T09:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2553
[2026-07-06T06:51:00] kitchen_light | OnOff.OnOff = False
[2026-07-06T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2505
[2026-07-06T07:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-07-06T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2509
[2026-07-06T07:31:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T07:37:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T07:51:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T07:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-06T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-07-06T08:02:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T08:16:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T08:22:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T08:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-06T08:28:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-07-06T08:28:09] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T08:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2544
[2026-07-06T08:47:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-06T09:07:09] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T06:54:00] kitchen_light | OnOff.OnOff = False
[2026-07-07T07:03:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:23:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:26:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-07T07:43:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T07:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-07-07T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "safety_device_failure",
  "threat_description": "厨房烟雾报警器连续两天在早晨固定时间触发污染/故障状态，且未伴随真实的火灾或烹饪活动迹象，表明设备可能存在硬件故障、传感器老化或误报问题。",
  "reasoning": [
    "1. 识别异常模式：日志显示厨房烟雾报警器（kitchen_smoke_alarm）在7月5日08:00和7月6日08:00均触发了ContaminationState（污染/故障状态），7月7日08:00再次触发。这种连续三天在同一时间点（早晨8点）出现的相同非火警类报警是典型的设备故障或环境干扰信号。",
    "2. 排除真实威胁：在报警发生的时间段（07:30-08:30），虽然厨房运动传感器（kitchen_occupancy）有活动记录，但温度传感器读数仅从约25°C缓慢上升至25.5°C左右（例如7月5日从25.03升至25.53），这符合正常室温波动或人体散热，并未出现火灾导致的温度急剧飙升。同时，没有检测到CO警报或高温阈值突破。",
    "3. 结合住户画像分析：独居老人可能在早晨进行常规活动（如起床、洗漱、准备早餐）。如果这是正常的烹饪行为，通常不会导致烟雾报警器进入'ContaminationState'（通常指灰尘积累、传感器脏污或寿命到期），除非油烟极大且持续，但温度数据不支持高负荷烹饪。更可能的情况是传感器本身需要清洁或更换，或者存在持续的轻微干扰源（如加湿器雾气、灰尘）。由于是独居老人，依赖此类安全设备的可靠性至关重要，因此必须视为潜在的安全隐患进行处理。"
  ],
  "key_evidence": [
    "[2026-07-05T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "[2026-07-06T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "[2026-07-07T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3",
    "温度传感器数据显示无剧烈升温，排除真实火灾风险"
  ],
  "recommended_actions": [
    "立即通知家属或护理人员检查厨房烟雾报警器状态，确认是否需要清洁滤网或更换电池/设备。",
    "建议暂时屏蔽该传感器的误报功能（如果协议支持）并安排专业人员上门检测，确保在真实火灾发生时能正常工作。",
    "观察早晨8点左右是否有其他干扰源（如加湿器、香薰等）靠近烟雾报警器。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器连续三天在早晨烹饪时段触发污染状态，且伴随温度异常升高，极可能为真实火灾风险或设备严重故障。",
  "reasoning": [
    "推理步骤 1: 日志显示在 2026-07-05、2026-07-06 和 2026-07-07 的早晨（约 08:00），厨房烟雾报警器的 ContaminationState 均发生了非零变化（分别为 1, 2, 3），这通常代表检测到烟雾或传感器被污染/触发。",
    "推理步骤 2: 在报警事件发生前及发生时，厨房温度传感器读数显著上升（从正常的 25°C 左右升至 25.4°C - 25.5°C），且呈现持续上升趋势，这与烹饪加热或初期火灾产生的热量特征高度吻合。",
    "推理步骤 3: 住户为独居老人，且每天早晨都有人在厨房活动（Occupancy=1）并随后有开门动作（LockOperation），表明这是日常烹饪时间。连续三天的相似模式排除了随机误报的可能性，强烈暗示存在真实的火灾隐患或传感器因长期暴露于油烟而失效/漂移，需要立即干预以防灾难发生。"
  ],
  "key_evidence": [
    "2026-07-05T08:00:00 至 2026-07-07T08:00:00 期间，kitchen_smoke_alarm 的 ContaminationState 连续三天变为非零值 (1, 2, 3)。",
    "同一时间段内，kitchen_temp_sensor 读数从 ~25.0°C 上升至 ~25.5°C，并在报警后保持高位。",
    "事件发生在每日早晨 08:00 左右，与住户进入厨房进行活动的 Occupancy 记录完全重合。"
  ],
  "recommended_actions": [
    "立即通知住户或紧急联系人检查厨房是否有明火、烟雾或燃气泄漏，确认人员安全。",
    "若现场无火情，需立即更换厨房烟雾报警器，并清洁或更换厨房温度传感器以排除故障。",
    "建议安装智能摄像头远程查看厨房实时画面，以便后续验证是否确认为烹饪油烟导致的误报还是真实隐患。"
  ]
}
```


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

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

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

## 家庭环境信息
家庭布局: 独居老人 (Elderly Living Alone)
- 重点房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 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 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 39

## 设备事件日志
[2026-07-07T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-07-07T05:52:39] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-07T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-07-07T11:36:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-07T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2410
[2026-07-07T17:33:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-07T17:51:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:11:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:29:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-07T18:33:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:34:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:36:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-07-07T18:49:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-07-07T18:52:43] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-07T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-07-07T18:58:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T18:59:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-07T19:01:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2296
[2026-07-07T19:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-07T19:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:19:13] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-07T19:21:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-07-07T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-07-07T19:33:07] living_room_light | LevelControl.CurrentLevel = 10
[2026-07-07T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-07-07T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220
[2026-07-07T19:39:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:41:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:43:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-07T19:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-07T19:48:00] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房灶具在无人持续监控的情况下长时间开启，且伴随传感器读数异常波动，存在极高的火灾风险。",
  "reasoning": [
    "1. 识别到关键设备 'kitchen_cook_surface' 在 19:00 开启，并在 19:20 关闭，持续时间为 20 分钟。对于独居老人而言，这属于典型的烹饪行为窗口。",
    "2. 检查同一时间段内的 'kitchen_occupancy_sensor'（运动传感器），数据显示从 19:01 到 19:48 期间，厨房内一直有人（Occupancy = 1）。这表明老人在灶具开启期间确实身处厨房，初步看是正常烹饪。",
    "3. 然而，分析 'kitchen_temp_sensor' 的数据发现严重异常：在 19:25（灶具仍开启或刚关闭不久）时温度骤升至 3050（约 30.5°C，若单位为0.01度则更高，或者如果是原始值需结合基准判断，但此处更关键的是后续数据），紧接着在 19:35 出现两个冲突读数 2282 和 3220。这种剧烈的、非线性的温度跳变通常不是环境温度的自然变化，而是传感器故障、被热源直接近距离烘烤导致读数失真，或者是烟雾/高温报警前的临界状态。",
    "4. 考虑到独居老人的安全脆弱性，即使有人在场，灶具开启后若发生突发状况（如老人滑倒、身体不适离开灶台但未触发紧急呼叫，或传感器本身因高温损坏），仅靠运动传感器无法完全排除隐患。特别是 19:25-19:35 期间的温度数据混乱，暗示现场可能存在未被正确记录的高温或烟雾情况，或者传感器已失效，无法提供有效的火灾预警。鉴于灶具曾开启且数据异常，必须视为潜在火灾风险进行干预。"
  ],
  "key_evidence": [
    "kitchen_cook_surface OnOff=True (19:00) 至 OnOff=False (19:20)",
    "kitchen_temp_sensor 在 19:25 读数为 3050，19:35 出现 2282 和 3220 的剧烈波动",
    "kitchen_occupancy_sensor 在 19:01-19:48 期间持续为 1"
  ],
  "recommended_actions": [
    "立即通过语音或电话确认老人身体状况及厨房安全情况。",
    "检查厨房烟雾报警器是否触发，并核实温度传感器的校准状态或更换故障传感器。",
    "建议为灶具安装独立的防干烧或超时自动切断装置，以弥补单一传感器不可靠的风险。"
  ]
}
```

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


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: kitchen
- 重点设备: kitchen_smoke_alarm
- 已选事件数: 48

## 设备事件日志
[2026-07-20T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2494
[2026-07-20T07:15:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-20T07:25:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T07:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-20T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-07-20T07:38:03] kitchen_light | OnOff.OnOff = False
[2026-07-20T07:38:22] front_door_contact | BooleanState.StateValue = False
[2026-07-20T07:39:26] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-20T07:40:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T07:47:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T07:55:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-07-20T08:08:23] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T08:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2539
[2026-07-20T08:15:09] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T08:25:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-20T08:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2550
[2026-07-20T09:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2555
[2026-07-21T06:59:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-21T07:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-07-21T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-07-21T07:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T07:38:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T07:43:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T07:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-07-21T07:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-21T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-07-21T08:05:26] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T08:13:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T08:19:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T08:28:02] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-21T08:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2542
[2026-07-21T08:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2549
[2026-07-21T09:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2543
[2026-07-22T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-07-22T07:25:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T07:29:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-07-22T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-07-22T07:33:03] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2513
[2026-07-22T07:45:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T07:48:08] master_bedroom_light | OnOff.OnOff = False
[2026-07-22T07:48:17] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T07:53:03] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-22T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2526
[2026-07-22T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3
[2026-07-22T08:03:52] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房烟雾报警器连续三天在早晨固定时间触发污染/故障状态，且未伴随真实的火灾或烹饪烟雾事件，表明设备存在硬件故障、传感器老化或误报问题。",
  "reasoning": [
    "1. 识别异常模式：日志显示 kitchen_smoke_alarm 在 2026-07-20、2026-07-21 和 2026-07-22 的 08:00 整点分别触发了 SmokeCoAlarm.ContaminationState 变化（分别为 1, 2, 3）。这种连续三天在同一精确时间点触发不同状态值的行为，极不符合随机发生的真实火灾或意外烟雾事件特征。",
    "2. 排除真实威胁：虽然 07:15 有灶具关闭记录，但随后温度传感器读数平稳上升（从 ~2494 到 ~2555，对应约 24.9°C 到 25.5°C），并未出现急剧升温；同时没有检测到 CO 报警或其他紧急疏散行为。ContaminationState 通常指传感器内部污染、老化或自检失败，而非直接的烟雾浓度超标（后者通常会有更剧烈的数值波动或特定的 AlarmState 触发）。",
    "3. 结合上下文推理：该警报发生在早晨家庭成员活动高峰期（玄关、餐厅、儿童房均有 occupancy 活动），如果真是火情，应有其他联动反应或住户干预记录。连续三天的规律性“污染”报错，强烈暗示是传感器元件故障、灰尘积累导致的自检失败，或者是设备固件/硬件的周期性错误。"
  ],
  "key_evidence": [
    "2026-07-20T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "2026-07-21T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "2026-07-22T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3",
    "同一时间段内厨房温度传感器读数正常且缓慢上升，无剧烈温升迹象",
    "无其他关联的火灾报警或紧急撤离行为日志"
  ],
  "recommended_actions": [
    "立即检查厨房烟雾报警器的物理状态，清洁传感器窗口以排除灰尘干扰。",
    "若清洁后问题依旧，建议更换烟雾报警器电池或整机，因为连续多日的 ContaminationState 变化可能意味着传感器已损坏。",
    "暂时启用备用烟雾探测方案（如手机APP推送测试）以确保安全，直到设备修复。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房温度持续异常升高且烟雾报警器状态异常，存在严重的火灾风险。",
  "reasoning": [
    "推理步骤 1: 分析厨房温度传感器数据，发现从 2026-07-20T06:50:00 到 2026-07-21T09:00:00，温度值（单位应为 0.1°C）从 2494 (24.94°C) 持续攀升至 2555 (25.55°C)，并在后续几天维持在 2540-2550 区间，远超正常室温波动范围，表明热源未关闭或设备故障导致过热。",
    "推理步骤 2: 检查烟雾报警器日志，发现其 ContaminationState 属性在三天内分别报告了状态 1、2、3。在 Matter 协议及常见安全逻辑中，该状态通常代表检测到的污染物浓度等级或报警级别逐步升级，结合高温背景，极大概率指示烟雾或燃烧产物积聚。",
    "推理步骤 3: 交叉验证其他设备，虽然灶具在 07:15 关闭，但随后温度并未下降反而继续上升，且入户门和运动传感器显示住户在家活动，排除了因离家导致的无人看管烹饪场景，确认为室内持续存在的火灾隐患。"
  ],
  "key_evidence": [
    "kitchen_temp_sensor 在连续多日记录中温度数值呈上升趋势并稳定在高温区（~25.5°C），与正常环境不符。",
    "kitchen_smoke_alarm 的 ContaminationState 属性在三天内依次更新为 1、2、3，显示污染/烟雾状态正在恶化。"
  ],
  "recommended_actions": [
    "立即通知住户撤离厨房区域并拨打火警电话进行排查。",
    "建议住户手动检查厨房是否有明火、燃气泄漏或电器短路，并切断厨房电源。",
    "安排专业人员检修厨房温度传感器和烟雾报警器，排除设备故障或校准问题。"
  ]
}
```


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: 独居老人 (Elderly Living Alone)
- 重点房间 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 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 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

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

## 设备事件日志
[2026-07-18T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-07-18T06:08:37] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-18T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-07-18T11:24:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-18T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2392
[2026-07-18T17:29:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-18T17:54:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:14:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:26:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2300
[2026-07-18T18:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:34:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-07-18T18:50:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:51:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-07-18T18:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T18:59:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-07-18T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299
[2026-07-18T19:08:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:16:17] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-07-18T19:21:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:24:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-07-18T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-07-18T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220
[2026-07-18T19:38:45] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-07-18T19:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-07-18T19:41:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:44:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:45:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:46:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-07-18T19:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266

## 任务
请分析下面的实时设备事件，判断是否需要将其视为异常安全事件。

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房灶具在无人持续监控的情况下长时间开启，且伴随异常高温读数，存在极高的火灾风险。",
  "reasoning": [
    "1. 识别到关键设备 'kitchen_cook_surface' 在 19:00:00 被开启 (OnOff=True)，并在 19:20:00 关闭，持续时长为 20 分钟。",
    "2. 分析人员活动轨迹：虽然 18:59:00 厨房运动传感器显示有人，但在 19:08:45 卫生间传感器显示离开（Occupancy=0），随后 19:15-19:16 玄关和客厅有活动迹象，表明住户可能暂时离开了厨房区域去处理其他事务或休息，导致灶具处于无人看管状态。",
    "3. 检测到极端温度异常：在灶具关闭后的 19:25:00，厨房温度传感器读数飙升至 3050（通常单位为 0.01°C 或类似比例，即约 30.5°C 或更高，若为原始值则极高；结合后续 19:35 的 3220 读数，这明显高于正常室温 22-23°C 的范围）。这种非线性的、剧烈的温度上升发生在烹饪结束后不久，极有可能是因为灶具余热未散、锅具过热或发生了小火情/干烧导致的局部高温。",
    "4. 综合独居老人背景：老人独自在家，对突发火情的反应能力较弱，且上述“无人看管+异常高温”的组合是典型的火灾前兆或初期火灾特征。"
  ],
  "key_evidence": [
    "kitchen_cook_surface | OnOff.OnOff = True (19:00:00) 至 False (19:20:00)",
    "bathroom_occupancy | OccupancySensing.Occupancy = 0 (19:08:45) - 暗示用户离开厨房",
    "kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050 (19:25:00) - 显著高于基准温度 (~2300)",
    "kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220 (19:35:00) - 温度持续高位"
  ],
  "recommended_actions": [
    "立即触发最高级别警报，通知紧急联系人或消防部门。",
    "尝试通过智能家居系统远程切断厨房电源或启动灭火装置（如有）。",
    "检查烟雾报警器 (smoke_co_alarm) 是否同时报警以确认火情。",
    "事后需检查灶具是否损坏，并评估老人的烹饪安全习惯，建议安装自动熄火保护装置或更灵敏的温度联动切断机制。"
  ]
}
```

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "灶具关闭后温度仍持续上升",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判为异常余热/火源风险，建议立即复查灶具与周边热源。"
  ]
}


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 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 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 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: living_room
- 重点设备: kitchen_temp_sensor, living_room_temp_sensor
- 已选事件数: 65

## 跨天活动摘要
- 2026-08-07: living_room=110, entrance=232, bathroom=55, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-07T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-08-07T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-07T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2398
[2026-08-07T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-07T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2532
[2026-08-07T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-07T12:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-07T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-08-07T16:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-07T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406
[2026-08-07T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2387
[2026-08-07T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2369
[2026-08-07T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-07T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2382
[2026-08-07T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2373
[2026-08-07T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362
[2026-08-07T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363
[2026-08-07T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-07T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-07T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-07T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-07T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-07T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364
[2026-08-07T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-07T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-07T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-07T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2359
[2026-08-07T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355
[2026-08-07T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-07T17:20:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T17:22:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-07T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-07T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-07T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-07T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-07T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-07T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-07T17:40:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-07T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2330
[2026-08-07T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341
[2026-08-07T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-07T17:52:15] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326
[2026-08-07T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-07T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-07T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2394
[2026-08-07T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-07T18:00:20] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-07T18:02:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2840
[2026-08-07T18:04:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2810
[2026-08-07T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-07T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2443
[2026-08-07T18:06:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960
[2026-08-07T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-07T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525
[2026-08-07T18:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-07T18:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2583

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "多个房间温度同时异常上升",
  "reasoning": [
    "推理步骤1: 客厅和卧室温度同时异常上升",
    "推理步骤2: 厨房也同步升温",
    "推理步骤3: 不是单一热源可解释的局部变化"
  ],
  "key_evidence": [
    "客厅和卧室温度同时异常上升",
    "厨房也同步升温",
    "不是单一热源可解释的局部变化"
  ],
  "recommended_actions": [
    "按全屋热异常处理，建议检查火源或电器过热。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在 18:06 报告了异常高温读数 (29.6°C)，随后迅速回落，且该读数与客厅及环境趋势严重不符，疑似传感器故障或受到瞬时干扰。",
  "reasoning": [
    "推理步骤 1: 分析时间线发现，在 18:00 至 18:15 期间，厨房温度传感器 (kitchen_temp_sensor) 的读数出现了剧烈波动：从正常的约 23-24°C 突然跳变至 29.6°C (2960 mK)，并在几分钟内又回落到正常范围。",
    "推理步骤 2: 对比同期数据，客厅温度传感器 (living_room_temp_sensor) 在同一时间段内保持稳定（约 23°C），且入户门运动传感器显示有人进出但无长时间停留迹象，排除了因人员聚集导致室温瞬间飙升的可能性。",
    "推理步骤 3: 考虑到 Matter 协议下传感器通常具有滤波机制，如此剧烈的单点尖峰且缺乏物理热源支撑（如灶具未开启记录、空调未制冷记录），最合理的解释是传感器硬件故障、校准漂移或受到了强烈的电磁/热干扰，属于典型的 sensor_malfunction。"
  ],
  "key_evidence": [
    "[2026-08-07T18:06:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960",
    "同期 living_room_temp_sensor 读数稳定在 2312-2324 之间，与环境温差逻辑矛盾"
  ],
  "recommended_actions": [
    "立即检查厨房温度传感器的物理状态，确认是否被遮挡、损坏或接触不良。",
    "建议重置该传感器并重新校准，若问题持续则更换设备。",
    "暂时忽略基于此错误读数触发的任何自动报警，避免误报。"
  ]
}
```


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: kitchen
- 重点设备: kitchen_smoke_alarm
- 已选事件数: 50

## 设备事件日志
[2026-08-24T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2498
[2026-08-24T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-08-24T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2516
[2026-08-24T07:27:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T07:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T07:33:00] dining_room_light | OnOff.OnOff = False
[2026-08-24T07:33:16] front_door_lock | DoorLock.LockState = 2
[2026-08-24T07:33:19] front_door_lock | DoorLock.LockState = 1
[2026-08-24T07:36:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T07:42:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T07:47:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T07:52:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-24T07:58:19] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-24T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-08-24T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2538
[2026-08-24T08:11:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T08:17:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T08:22:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T08:27:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-24T08:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2531
[2026-08-24T08:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2546
[2026-08-25T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2507
[2026-08-25T07:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2502
[2026-08-25T07:27:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:37:33] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T07:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-25T07:47:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:54:31] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T07:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-08-25T08:07:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T08:14:31] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T08:17:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-25T08:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2528
[2026-08-25T08:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-25T08:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2552
[2026-08-25T09:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2545
[2026-08-26T07:05:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-26T07:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2512
[2026-08-26T07:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2508
[2026-08-26T07:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T07:36:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T07:38:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-26T07:38:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)
[2026-08-26T07:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2527
[2026-08-26T07:45:10] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-26T07:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-26T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "safety_device_failure",
  "threat_description": "厨房烟雾报警器在连续两天早晨报告污染状态（ContaminationState），且第三天直接变为故障/报警状态，表明设备存在硬件故障或严重误报风险，可能导致真实火灾时无法预警。",
  "reasoning": [
    "1. 识别关键异常模式：日志显示 kitchen_smoke_alarm 的 SmokeCoAlarm.ContaminationState 属性在三天内发生了显著变化。8月24日08:00为状态1（通常表示轻微污染或需清洁），8月25日08:00变为状态2（通常表示中度污染或需深度清洁），而8月26日08:00突然变为状态3（通常表示严重污染、传感器故障或需要更换电池/设备）。",
    "2. 排除环境干扰：虽然厨房温度传感器显示温度在正常范围内波动（约24-25摄氏度，Matter协议中通常为十分之一摄氏度，即24.9°C-25.5°C），没有极端高温触发烟雾报警的迹象。同时，灶具在8月26日早晨处于关闭状态（OnOff=False），排除了正在烹饪产生大量油烟导致持续报警的可能性。",
    "3. 确定威胁性质：这种从‘轻微’到‘中度’再到‘严重/故障’的递进式状态变化，且发生在非烹饪时段（早晨起床后），极大概率是烟雾探测器内部传感器老化、积尘过多无法清理或电子元件故障。如果这是真实的火灾隐患，之前的状态1和2应该伴随更明显的物理现象；既然没有，则说明设备本身不可靠。一个失效的烟雾报警器构成了严重的安全隐患（Safety Device Failure），因为它可能在真正发生火灾时保持沉默。"
  ],
  "key_evidence": [
    "[2026-08-24T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "[2026-08-25T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "[2026-08-26T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3"
  ],
  "recommended_actions": [
    "立即检查厨房烟雾报警器的物理状态，尝试按照说明书进行清洁或重置。",
    "如果清洁后状态仍未恢复或再次快速恶化，请立即更换烟雾报警器电池或整机，以确保火灾探测功能正常。",
    "建议用户确认家中是否有其他可能引起误报的因素（如杀虫剂、蒸汽等），但鉴于连续三天的递进式报错，优先怀疑设备硬件故障。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器连续三天在早晨高温时段触发污染状态，且伴随温度异常升高，存在极高的火灾风险。",
  "reasoning": [
    "推理步骤 1: 分析时间模式，发现 8 月 24 日、25 日和 26 日（连续三天）的同一时间段（约 08:00），厨房烟雾报警器均报告了非零的 ContaminationState（分别为 1, 2, 3）。这表明并非偶发故障，而是持续存在的威胁信号。",
    "推理步骤 2: 关联环境数据，日志显示在烟雾报警触发的时间点前后，厨房温度传感器读数显著偏高（例如 2026-08-24T08:00 时温度为 25.34°C，随后升至 25.46°C；2026-08-25T08:45 时达到 25.52°C）。虽然数值看似未达沸点，但相对于正常室温（约 24-25°C）呈现持续上升趋势，且与烟雾报警高度同步，暗示热源积聚或燃烧产物积累。",
    "推理步骤 3: 结合住户行为，日志中未见灶具（cook_surface）开启记录，也未见明显的烹饪活动导致的高温峰值后骤降（通常烹饪结束温度会下降），这种‘静默’状态下的高温叠加烟雾报警，极有可能是燃气泄漏导致的阴燃、设备过热起火前兆或传感器被长期暴露于有害烟雾中。"
  ],
  "key_evidence": [
    "连续三天（08/24, 08/25, 08/26）在 08:00 左右 kitchen_smoke_alarm 的 ContaminationState 分别变为 1, 2, 3，呈恶化趋势。",
    "同期 kitchen_temp_sensor 数据显示温度持续异常偏高并呈上升趋势（最高达 25.52°C），与烟雾报警时间窗重合。",
    "在报警期间及之后，未检测到 cook_surface 开启事件，排除了正常烹饪产生大量烟雾的可能性，指向潜在的设备故障或隐蔽火源。"
  ],
  "recommended_actions": [
    "立即通知住户前往厨房检查，确认是否存在明火、燃气泄漏或异常气味，并迅速撤离至安全区域。",
    "强制关闭厨房总电源和燃气阀门（如果安全可行），并联系专业消防部门或物业进行紧急排查。",
    "建议更换厨房烟雾报警器及温度传感器，并对厨房电路和燃气设备进行全面检修。"
  ]
}
```


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 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 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 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: living_room
- 重点设备: kitchen_temp_sensor, living_room_temp_sensor
- 已选事件数: 70

## 跨天活动摘要
- 2026-08-11: living_room=113, entrance=229, bathroom=57, master_bedroom=48, second_bedroom=48, kitchen=8

## 设备事件日志
[2026-08-11T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-11T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-11T04:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2402
[2026-08-11T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-11T08:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2536
[2026-08-11T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-11T12:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524
[2026-08-11T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-11T16:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2408
[2026-08-11T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2393
[2026-08-11T16:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2384
[2026-08-11T16:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-11T16:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2371
[2026-08-11T16:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2375
[2026-08-11T16:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2380
[2026-08-11T16:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-11T16:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2368
[2026-08-11T16:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360
[2026-08-11T16:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2372
[2026-08-11T16:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361
[2026-08-11T17:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365
[2026-08-11T17:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2370
[2026-08-11T17:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T17:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-11T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357
[2026-08-11T17:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356
[2026-08-11T17:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2354
[2026-08-11T17:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350
[2026-08-11T17:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346
[2026-08-11T17:18:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T17:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352
[2026-08-11T17:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351
[2026-08-11T17:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-11T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-11T17:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348
[2026-08-11T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340
[2026-08-11T17:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T17:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T17:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T17:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-11T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338
[2026-08-11T17:38:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T17:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-11T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-11T17:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-11T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-11T17:45:44] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T17:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2336
[2026-08-11T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334
[2026-08-11T17:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-11T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-11T17:58:13] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-11T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-11T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T18:02:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2840
[2026-08-11T18:04:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2810
[2026-08-11T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-11T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)
[2026-08-11T18:06:00] front_door_lock | DoorLock.LockState = 2
[2026-08-11T18:06:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2960
[2026-08-11T18:06:02] front_door_contact | BooleanState.StateValue = False
[2026-08-11T18:06:12] entrance_light | OnOff.OnOff = True
[2026-08-11T18:06:18] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:06:23] living_room_light_1 | OnOff.OnOff = True
[2026-08-11T18:06:33] living_room_ac | OnOff.OnOff = True
[2026-08-11T18:06:33] living_room_ac | Thermostat.SystemMode = 3
[2026-08-11T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312

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

请按以下 JSON 格式回答：

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

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

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "多个房间温度同时异常上升",
  "reasoning": [
    "推理步骤1: 客厅和卧室温度同时异常上升",
    "推理步骤2: 厨房也同步升温",
    "推理步骤3: 不是单一热源可解释的局部变化"
  ],
  "key_evidence": [
    "客厅和卧室温度同时异常上升",
    "厨房也同步升温",
    "不是单一热源可解释的局部变化"
  ],
  "recommended_actions": [
    "按全屋热异常处理，建议检查火源或电器过热。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "检测到疑似非法入侵：入户门被手动解锁后，门锁状态异常变为'未锁定'（StateValue=False），且随后玄关灯亮起、客厅运动传感器触发，表明有人进入室内。",
  "reasoning": [
    "推理步骤 1: 在 2026-08-11T18:06:00 时，日志显示 front_door_lock 发生了手动解锁操作 (LockOperationType=1)，紧接着 DoorLock.LockState 变为 2 (通常代表 unlocked/unlocked state in Matter context or specifically 'unlocked' depending on vendor mapping, but crucially followed by contact sensor change).",
    "推理步骤 2: 关键异常点在于 2026-08-11T18:06:02，front_door_contact 传感器的 BooleanState.StateValue 变为 False。结合上下文，如果 True 代表关门/锁定，False 则代表开门/未锁定。更严重的是，在入户门被打开的同时，系统并未记录到正常的住户身份验证或授权开启事件，且时间点在深夜 (18:00 后，根据跨天摘要推测可能是傍晚或夜间活动高峰后的时段，需结合具体作息，但此处重点在于非预期的开门)。",
    "推理步骤 3: 紧随其后 (18:06:12) 玄关灯自动亮起，以及 18:06:18 客厅运动传感器检测到人员 (Occupancy=1)，这表明有人在进门后立即进入了室内公共区域。虽然用户可能在家，但在没有明确‘回家’模式激活或正常开门习惯（如先开灯再进屋的延迟）的情况下，这种快速联动配合门锁状态突变，构成了典型的入侵特征。特别是考虑到之前 17:30 和 18:00 所有房间 occupancy 均为 0，此时突然有人进入且门锁状态异常，风险极高。",
    "推理步骤 4: 温度传感器数据 (living_room_temp_sensor 从 23xx 跳变至 28xx) 可能是空调开启后的正常升温，或者是入侵者带来的干扰，但不足以解释安全威胁的核心，核心在于门锁与接触传感器的时序逻辑违背了正常居住行为模式。"
  ],
  "key_evidence": [
    "2026-08-11T18:06:00: 入户门锁发生手动解锁操作 (Manual LockOperation)",
    "2026-08-11T18:06:02: 入户门接触传感器状态变为 False (表示门已打开或未锁定)",
    "2026-08-11T18:06:18: 客厅运动传感器立即检测到人员存在 (Occupancy=1)"
  ],
  "recommended_actions": [
    "立即向住户发送最高级别安全警报，提示‘检测到未经授权的入户尝试或非法入侵’。",
    "通知当地执法部门或安保服务，提供入侵发生的具体时间 (18:06) 和设备位置。",
    "建议住户暂时不要靠近前门，通过手机远程查看实时视频（如有摄像头）确认现场情况，并联系物业或邻居协助核实。",
    "检查门锁固件日志，确认是否存在被黑客远程操控解锁的可能性，并重置门锁密码。"
  ]
}
```


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 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 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 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ4
- 重点房间: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 101

## 跨天活动摘要
- 2026-08-11: kitchen=240, bedroom=242, entrance=229, living_room=210, bathroom=64

## 设备事件日志
[2026-08-11T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-11T06:09:33] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-11T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2519
[2026-08-11T11:38:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-11T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2397
[2026-08-11T17:01:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T17:03:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = None
[2026-08-11T17:22:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T17:42:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2228
[2026-08-11T18:02:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:03:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313
[2026-08-11T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325
[2026-08-11T18:07:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:08:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-11T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-11T18:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2221
[2026-08-11T18:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321
[2026-08-11T18:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2305
[2026-08-11T18:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2218
[2026-08-11T18:27:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319
[2026-08-11T18:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-11T18:32:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:33:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2216
[2026-08-11T18:39:56] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T18:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2207
[2026-08-11T18:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-11T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301
[2026-08-11T18:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2205
[2026-08-11T18:52:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:53:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-08-11T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-11T18:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T18:58:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2196
[2026-08-11T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-11T19:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-11T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-11T19:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-11T19:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-11T19:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2192
[2026-08-11T19:17:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:18:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-11T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-11T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-11T19:22:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:23:10] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2189
[2026-08-11T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-08-11T19:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-11T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-11T19:35:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2180
[2026-08-11T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220
[2026-08-11T19:37:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:38:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:39:56] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T19:40:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2185
[2026-08-11T19:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-11T19:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-11T19:47:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:49:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T19:50:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2172
[2026-08-11T19:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-11T19:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-11T20:00:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2162
[2026-08-11T20:02:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:03:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-11T20:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-11T20:07:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:09:00] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-08-11T20:15:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2158
[2026-08-11T20:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-08-11T20:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-11T20:25:00] bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2165
[2026-08-11T20:27:00] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:28:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262
[2026-08-11T20:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-11T20:31:10] bathroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T20:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-11T20:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2260
[2026-08-11T20:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-11T20:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-11T20:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-11T20:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2252
[2026-08-11T21:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-11T21:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2259
[2026-08-11T21:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2253
[2026-08-11T21:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2254
[2026-08-11T21:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2251
[2026-08-11T21:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2248
[2026-08-11T21:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2262

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房灶具长时间开启且伴随温度传感器读数异常飙升，存在极高的火灾风险。",
  "reasoning": [
    "1. 灶具使用时长异常：日志显示厨房灶具 (kitchen_cook_surface) 在 06:09:33 开启，直到 11:38:00 才关闭，持续运行超过 5 小时。对于独居老人家庭，这极不符合正常烹饪习惯，属于典型的“无人看管烹饪”或设备故障导致的长时间加热。",
    "2. 温度数据出现危险峰值：在晚间 19:25 和 19:35，厨房温度传感器 (kitchen_temp_sensor) 分别记录到 3050 和 3220 的数值。虽然 Matter 协议中 TemperatureMeasurement 通常以厘摄氏度（centi-degree Celsius）为单位（即 3050 = 30.5°C），但在灶具刚关闭不久（19:20 关闭）且环境温度本应下降的背景下，短时间内出现如此高的数值跳变，结合之前的超长加热历史，可能暗示灶具余热积聚、局部过热或传感器受高温影响产生漂移/故障。即便按常规理解，若该数值代表其他单位或存在累积效应，也构成了潜在的热失控信号。",
    "3. 缺乏烟雾报警触发：尽管存在长时间的灶具开启和可能的过热情况，日志中未提及 smoke_co_alarm 被触发。这可能意味着烟雾报警器尚未检测到明火或浓烟，或者处于早期阶段，但这恰恰增加了风险的隐蔽性和严重性——一旦发展为真实火灾，后果不堪设想。"
  ],
  "key_evidence": [
    "[2026-08-11T06:09:33] kitchen_cook_surface | OnOff.OnOff = True",
    "[2026-08-11T11:38:00] kitchen_cook_surface | OnOff.OnOff = False",
    "[2026-08-11T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050",
    "[2026-08-11T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220"
  ],
  "recommended_actions": [
    "立即检查厨房现场状况，确认灶具是否真的处于关闭状态，并排查是否有残留火源或过热隐患。",
    "联系独居老人或其紧急联系人，确认其身体状况及当日活动情况，排除因认知障碍导致忘记关火的可能性。",
    "对厨房温度传感器进行校准测试，区分是真实的高温事件还是传感器故障（sensor_drift/malfunction）。",
    "建议为厨房安装更灵敏的燃气泄漏探测器或智能断电保护器，以防类似长时间无人看管烹饪的情况再次发生。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在烹饪活动期间出现严重数据漂移和异常跳变，导致无法准确监测火灾隐患。",
  "reasoning": [
    "推理步骤 1: 分析时间线发现，2026-08-11T19:00:00 厨房灶具 (kitchen_cook_surface) 被开启，随后在 T19:20:00 关闭，这是一次正常的烹饪活动。",
    "推理步骤 2: 在此期间及之后，厨房温度传感器 (kitchen_temp_sensor) 的读数出现了非物理可能的剧烈波动。例如在 T19:25:00 读数为 3050 (约 30.5°C)，而在 T19:35:00 突然跳变为 3220 (约 32.2°C)，而同一时刻卧室和客厅温度稳定在 21-22°C 左右，且无其他热源报告。",
    "推理步骤 3: 考虑到住户为独居老人，若烟雾报警器或温度传感器因数据错误未能触发警报，将极大增加火灾风险。这种传感器数值的无规律大幅跳变（Drift/Malfunction）表明设备可能故障、校准错误或受到强电磁干扰，属于高危安全威胁。"
  ],
  "key_evidence": [
    "2026-08-11T19:25:00 kitchen_temp_sensor 读数突增至 3050",
    "2026-08-11T19:35:00 kitchen_temp_sensor 读数进一步异常跳变至 3220，与周围房间温差巨大且不符合热力学常识",
    "烹饪活动结束后，温度读数未呈现合理的冷却曲线，而是持续存在高值噪点"
  ],
  "recommended_actions": [
    "立即检查并重新校准厨房温度传感器，或将其暂时替换为备用传感器以确保监控覆盖。",
    "手动检查厨房区域是否有实际过热迹象，确认烟雾报警器功能正常。",
    "联系设备供应商或技术支持排查传感器硬件故障或固件 Bug。"
  ]
}
```


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 kitchen: 厨房灯[onoff_light], 厨房灶具[cook_surface], 厨房烟雾报警器[smoke_co_alarm], 厨房温度传感器[temperature_sensor], 厨房运动传感器[occupancy_sensor], 厨房漏水传感器[water_leak_detector]
- 房间 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 living_room: 客厅灯[dimmable_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor], 客厅烟雾报警器[smoke_co_alarm]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ2
- 重点房间: kitchen
- 重点设备: kitchen_smoke_alarm
- 已选事件数: 46

## 设备事件日志
[2026-08-09T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2499
[2026-08-09T07:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2501
[2026-08-09T07:05:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:27:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-09T07:35:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:45:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T07:52:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1
[2026-08-09T08:00:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-08-09T08:10:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T08:17:07] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T08:22:02] front_door_contact | BooleanState.StateValue = False
[2026-08-09T08:25:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-09T08:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2534
[2026-08-09T08:50:10] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T06:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2493
[2026-08-10T06:58:00] kitchen_light | OnOff.OnOff = False
[2026-08-10T07:05:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T07:28:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T07:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T07:35:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T07:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2517
[2026-08-10T07:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2530
[2026-08-10T07:53:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T07:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2
[2026-08-10T08:00:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T08:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522
[2026-08-10T08:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-10T08:20:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T08:28:05] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T08:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-10T08:45:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-10T09:05:02] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T06:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2511
[2026-08-11T07:05:00] kitchen_light | OnOff.OnOff = False
[2026-08-11T07:14:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:25:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:31:00] bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2510
[2026-08-11T07:40:33] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-11T07:49:05] kitchen_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T07:50:06] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-11T08:00:00] kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3

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

请按以下 JSON 格式回答：

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

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

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房烟雾报警器连续三天在固定时间（08:00）触发污染状态变化，且无伴随火灾或烹饪迹象，极大概率为设备故障或传感器误报。",
  "reasoning": [
    "1. 观察日志发现，厨房烟雾报警器（kitchen_smoke_alarm）在2026-08-09、2026-08-10、2026-08-11的08:00:00整点分别触发了 SmokeCoAlarm.ContaminationState 的变化（分别为1, 2, 3）。",
    "2. ContaminationState 通常指示传感器内部积尘、老化或受到非火灾性干扰（如蒸汽、昆虫），而非直接的火灾报警（SmokeLevel）。这种状态在Matter协议中属于维护/健康状态。",
    "3. 排除真实火灾风险：在报警时间点前后，厨房温度传感器读数稳定在24-25°C左右（正常室温），未见急剧升温；同时没有检测到灶具（cook_surface）开启或异常高温数据。",
    "4. 排除人为误操作：虽然住户在厨房有活动（Occupancy=1），但活动模式符合日常作息（早晨起床后进入厨房），且连续三天在同一精确时刻发生相同的传感器状态变更，具有极高的规律性，不符合随机的人为干扰或偶发事件特征。",
    "5. 结论：这种高度规律的、非火灾相关的传感器状态变更，最可能的原因是传感器硬件故障、固件Bug导致的误报，或者传感器需要清洁/更换。"
  ],
  "key_evidence": [
    "2026-08-09T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 1",
    "2026-08-10T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 2",
    "2026-08-11T08:00:00 kitchen_smoke_alarm | SmokeCoAlarm.ContaminationState = 3",
    "同一时间段内 kitchen_temp_sensor 读数正常 (约2500-2537)，无火灾升温迹象"
  ],
  "recommended_actions": [
    "立即检查烟雾报警器物理状态，尝试清洁传感器窗口或重启设备以排除临时故障。",
    "若问题持续，联系设备厂商进行固件升级或申请硬件更换，因为持续的污染状态可能影响未来真实火灾的检测灵敏度。",
    "建议用户确认该时间段是否有大量水蒸气（如烧开水）经过传感器附近，若有则需调整使用习惯或增加排风。"
  ]
}
```

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "厨房烟雾报警器连续三天在早晨烹饪时段触发污染状态，且伴随温度异常升高，极可能为真实火灾风险或设备严重故障。",
  "reasoning": [
    "推理步骤 1: 分析时间模式，发现 08-09、08-10、08-11 连续三天的 08:00:00 左右（早餐/烹饪准备时间），厨房烟雾报警器的 ContaminationState 均被设置为非零值（分别为 1, 2, 3），表明检测到污染物。",
    "推理步骤 2: 结合温度传感器数据，在报警触发前后（如 08-05 至 08-45），厨房温度从正常的 24-25°C 迅速攀升至 2520K (约 2247°C) 或日志中的 25xx 数值（假设单位为 Kelvin 则远超熔点，若为摄氏度则极高，此处视为异常高温读数），这与正常烹饪产生的热量不符，暗示可能存在明火或设备过热起火。",
    "推理步骤 3: 考虑到住户为独居老人，且连续三天在同一时间点出现相同的‘报警 + 高温’组合，这不符合误报的随机性特征，也不符合单纯的设备故障（通常不会每天重复且伴随高温），因此判定为极高的火灾风险事件。",
    "推理步骤 4: 虽然运动传感器显示当时有人在场（Occupancy=1），但这无法排除因操作不当导致起火的场景，反而增加了需要立即干预的紧迫性。"
  ],
  "key_evidence": [
    "连续三天 (08-09, 08-10, 08-11) 在 08:00:00 整点，kitchen_smoke_alarm 的 ContaminationState 依次变为 1, 2, 3。",
    "同一时间段内，kitchen_temp_sensor 读数异常偏高（如 2534, 2537 等），与室温常态（~25°C）严重偏离。",
    "住户为独居老人，缺乏即时人工确认和灭火能力，风险等级放大。"
  ],
  "recommended_actions": [
    "立即通知住户或其紧急联系人前往厨房检查火情，并拨打消防电话。",
    "远程切断厨房电源及燃气阀门（如果智能控制可用），防止火势扩大。",
    "安排专业人员上门检修烟雾报警器和温度传感器，排查是否存在硬件损坏或长期未维护导致的误报/漏报。",
    "建议安装额外的独立式烟雾探测器作为备份，并制定针对独居老人的每日安全巡检计划。"
  ]
}
```


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 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 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 living_room: 客厅主灯[dimmable_light], 客厅落地灯[onoff_light], 客厅空调[air_conditioner], 客厅温度传感器[temperature_sensor], 客厅运动传感器[occupancy_sensor], 客厅窗帘[window_covering], 客厅窗户传感器[contact_sensor]
- 房间 master_bedroom: 主卧灯[dimmable_light], 主卧空调[air_conditioner], 主卧运动传感器[occupancy_sensor], 主卧窗帘[window_covering], 主卧窗户传感器[contact_sensor], 主卧温度传感器[temperature_sensor]
- 房间 second_bedroom: 次卧灯[dimmable_light], 次卧运动传感器[occupancy_sensor], 次卧窗帘[window_covering], 次卧窗户传感器[contact_sensor], 次卧温度传感器[temperature_sensor]

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ5
- 重点房间: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 45

## 跨天活动摘要
- 2026-08-01: kitchen=2, living_room=48, master_bedroom=48, second_bedroom=48, bathroom=48, entrance=48

## 设备事件日志
[2026-08-01T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2270
[2026-08-01T04:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2396
[2026-08-01T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2535
[2026-08-01T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2521
[2026-08-01T16:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2409
[2026-08-01T17:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347
[2026-08-01T17:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343
[2026-08-01T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329
[2026-08-01T17:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332
[2026-08-01T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328
[2026-08-01T18:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331
[2026-08-01T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316
[2026-08-01T18:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-01T18:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-01T18:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-01T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T18:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T18:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T18:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T18:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-01T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2295
[2026-08-01T18:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-01T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307
[2026-08-01T19:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-01T19:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-01T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-01T19:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2292
[2026-08-01T19:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-01T19:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-01T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-01T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-08-01T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-08-01T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2289
[2026-08-01T19:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-08-01T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220

## 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。

{
  "is_anomaly": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "灶具关闭后温度仍持续上升",
  "reasoning": [
    "推理步骤1: 灶具已关闭",
    "推理步骤2: 厨房温度没有回落反而继续升高",
    "推理步骤3: 升温趋势持续超过一个采样点"
  ],
  "key_evidence": [
    "灶具已关闭",
    "厨房温度没有回落反而继续升高",
    "升温趋势持续超过一个采样点"
  ],
  "recommended_actions": [
    "判为异常余热/火源风险，建议立即复查灶具与周边热源。"
  ]
}

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "fire_risk",
  "threat_description": "灶具关闭后温度仍持续上升",
  "reasoning": [
    "推理步骤1: 日志中出现了不存在的额外报警事件。"
  ],
  "key_evidence": [
    "我假设看到了一个未在日志中出现的 critical 告警。"
  ],
  "recommended_actions": [
    "判为异常余热/火源风险，建议立即复查灶具与周边热源。"
  ]
}


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

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

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

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

## 已选日志说明
以下日志不是整天原始全量心跳，而是围绕关键设备、关键时间窗和跨天模式筛出的训练片段。
- 任务类型: SQ4
- 重点房间: kitchen
- 重点设备: kitchen_cook_surface, kitchen_temp_sensor
- 已选事件数: 109

## 跨天活动摘要
- 2026-08-17: kitchen=13, entrance=233, kids_room=229, master_bedroom=228, dining_room=220, living_room=114

## 设备事件日志
[2026-08-17T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-17T07:00:39] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-17T08:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2537
[2026-08-17T16:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2386
[2026-08-17T17:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349
[2026-08-17T17:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344
[2026-08-17T17:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345
[2026-08-17T17:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335
[2026-08-17T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-17T18:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-17T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-17T18:00:43] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T18:03:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:04:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333
[2026-08-17T18:05:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2324
[2026-08-17T18:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:09:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327
[2026-08-17T18:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-17T18:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2312
[2026-08-17T18:15:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320
[2026-08-17T18:17:00] kitchen_light | OnOff.OnOff = True
[2026-08-17T18:17:30] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-17T18:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2314
[2026-08-17T18:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-17T18:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322
[2026-08-17T18:28:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:29:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309
[2026-08-17T18:30:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302
[2026-08-17T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T18:32:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:34:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:34:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311
[2026-08-17T18:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315
[2026-08-17T18:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-17T18:40:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304
[2026-08-17T18:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310
[2026-08-17T18:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2294
[2026-08-17T18:48:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:49:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308
[2026-08-17T18:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2297
[2026-08-17T18:52:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:54:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:54:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T18:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2290
[2026-08-17T18:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2306
[2026-08-17T19:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-17T19:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303
[2026-08-17T19:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T19:00:00] kitchen_cook_surface | OnOff.OnOff = True
[2026-08-17T19:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-08-17T19:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-17T19:08:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:09:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-08-17T19:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-17T19:12:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:14:04] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2298
[2026-08-17T19:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-17T19:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2291
[2026-08-17T19:20:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2286
[2026-08-17T19:20:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-17T19:24:00] kitchen_cook_surface | OnOff.OnOff = False
[2026-08-17T19:24:30] kitchen_window_contact | BooleanState.StateValue = False
[2026-08-17T19:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-17T19:25:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-17T19:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3050
[2026-08-17T19:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-17T19:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-08-17T19:30:43] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T19:33:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:34:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-08-17T19:35:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2285
[2026-08-17T19:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 3220
[2026-08-17T19:37:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:39:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:39:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-08-17T19:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-17T19:42:06] dining_room_light | OnOff.OnOff = False
[2026-08-17T19:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2282
[2026-08-17T19:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-17T19:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-17T19:50:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2273
[2026-08-17T19:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-08-17T19:58:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T19:59:04] living_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2277
[2026-08-17T20:00:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2281
[2026-08-17T20:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-08-17T20:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:04:03] entrance_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:04:06] dining_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2261
[2026-08-17T20:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-08-17T20:10:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2264
[2026-08-17T20:10:00] kids_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-08-17T20:15:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-08-17T20:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265
[2026-08-17T20:18:09] kids_room_occupancy | OccupancySensing.Occupancy = 1
[2026-08-17T20:19:04] living_room_occupancy | OccupancySensing.Occupancy = 1

## 任务
你将看到一组跨设备日志。请做综合安全分析，而不是单点判断。

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": true,
  "confidence": "medium",
  "threat_type": "fire_risk",
  "threat_description": "灶具关闭后温度仍持续上升",
  "reasoning": [
    "推理步骤1: 灶具已关闭",
    "推理步骤2: 厨房温度没有回落反而继续升高",
    "推理步骤3: 升温趋势持续超过一个采样点"
  ],
  "key_evidence": [
    "灶具已关闭",
    "厨房温度没有回落反而继续升高",
    "升温趋势持续超过一个采样点"
  ],
  "recommended_actions": [
    "判为异常余热/火源风险，建议立即复查灶具与周边热源。"
  ]
}

```json
{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "厨房温度传感器在灶具关闭后出现严重数据漂移和异常跳变，导致读数远超物理可能范围（3050°C - 3220°C），疑似传感器故障或校准失效。",
  "reasoning": [
    "步骤 1: 分析时间线，2026-08-17T19:20:00 至 T19:24:00 期间，厨房灶具 (kitchen_cook_surface) 状态为关闭 (False)，且随后窗户传感器也显示关闭 (False)，表明烹饪活动已停止。",
    "步骤 2: 观察温度变化趋势，在灶具关闭前 (T19:15-T19:20)，厨房温度约为 2287°C (实际应为约 22.87°C，Matter 协议通常以 0.01 为单位)。此时温度处于正常波动范围内。",
    "步骤 3: 识别异常点，在 T19:25:00 灶具关闭约 5 分钟后，温度传感器读数突然跳变为 3050 (即 30.50°C)，并在 T19:35:00 进一步跳变至 3220 (即 32.20°C)。考虑到厨房通风良好且无热源，短时间内升温超过 10 度且达到 32°C 以上极不寻常，尤其是后续读数持续高位震荡。",
    "步骤 4: 交叉验证，对比同一时间段内其他房间的温度传感器数据（如客厅、儿童房、主卧均在 22.7°C - 23.0°C 之间），排除了环境温度普遍升高的可能性，确认是厨房传感器本身的读数错误。",
    "步骤 5: 风险评估，虽然 Matter 协议中 3220 可能代表某种特定状态码而非真实温度，但在本上下文中结合上下文逻辑，最合理的解释是传感器硬件故障、校准丢失或被干扰，导致报告了虚假的高温数据。这种‘假阳性’高温报警可能导致不必要的恐慌或误触发烟雾/火灾联动设备。"
  ],
  "key_evidence": [
    "2026-08-17T19:20:00 灶具关闭，但 5 分钟后 (T19:25:00) 温度从 ~22.8°C 骤升至 30.5°C。",
    "2026-08-17T19:35:00 温度进一步异常飙升至 32.2°C，而周围房间温度稳定在 22-23°C。",
    "温度数值在灶具关闭后不仅未下降反而持续上升，违背热力学常识。"
  ],
  "recommended_actions": [
    "立即检查厨房温度传感器的物理连接和供电情况，排除接触不良导致的信号错误。",
    "重新校准或重置厨房温度传感器，若无法修复则建议更换新传感器。",
    "暂时禁用该传感器的自动联动功能（如联动空调或烟雾报警器），直到故障排除，防止误操作。",
    "检查是否有外部电磁干扰源靠近厨房传感器。"
  ]
}
```