{"pair_id": "DPO_TRAIN_TP_00000_pair", "episode_id": "DPO_TRAIN_TP_00000", "scenario_id": "T-INS-06", "variant": "TP", "prompt": {"system": "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。\n\n你需要基于以下能力进行分析：\n1. 从设备状态变化中识别异常模式\n2. 结合时间、住户习惯、设备类型进行推理\n3. 区分真实威胁和正常行为（减少误报）\n4. 对发现的问题给出具体的风险评估和建议\n\n所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。", "user": "## 家庭环境信息\n家庭布局: 独居老人 (Elderly Living Alone)\n- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]\n- 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]\n- 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]\n- 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]\n- 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]\n\n## 已选日志说明\n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。\n- 任务类型: SQ2\n- 重点房间: entrance\n- 重点设备: front_door_lock, kitchen_light, living_room_occupancy\n- 已选事件数: 34\n\n## 设备事件日志\n[2026-07-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-20T06:10:03] kitchen_light | OnOff.OnOff = True\n[2026-07-20T07:05:00] kitchen_light | OnOff.OnOff = False\n[2026-07-20T07:05:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-07-20T07:05:04] front_door_lock | DoorLock.LockState = 2\n[2026-07-20T07:05:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)\n[2026-07-20T07:05:07] front_door_lock | DoorLock.LockState = 1\n[2026-07-20T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-07-20T08:38:00] front_door_lock | DoorLock.LockState = 2\n[2026-07-20T09:58:03] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T10:54:00] kitchen_light | OnOff.OnOff = True\n[2026-07-20T12:48:03] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T15:36:12] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T17:10:00] kitchen_light | OnOff.OnOff = True\n[2026-07-20T18:26:12] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T20:50:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)\n[2026-07-20T20:50:08] front_door_lock | DoorLock.LockState = 1\n[2026-07-20T21:12:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:12:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:28:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:32:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:45:00] kitchen_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:45:05] bedroom_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:48:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T22:51:00] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-20T22:52:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T23:05:00] kitchen_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T23:05:05] bedroom_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T23:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T23:12:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T23:18:00] front_door_lock | DoorLock.LockState = 2\n[2026-07-20T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-20T23:25:00] kitchen_light | OnOff.OnOff = True\n\n## 任务\n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。\n\n请按以下 JSON 格式回答：\n\n```json\n{\n  \"is_anomaly\": true/false,\n  \"confidence\": \"high/medium/low\",\n  \"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\",\n  \"threat_description\": \"一句话描述发现的问题或确认安全\",\n  \"reasoning\": [\n    \"推理步骤1: ...\",\n    \"推理步骤2: ...\",\n    \"推理步骤3: ...\"\n  ],\n  \"key_evidence\": [\n    \"关键证据1\",\n    \"关键证据2\"\n  ],\n  \"recommended_actions\": [\n    \"建议措施1\",\n    \"建议措施2\"\n  ]\n}\n```\n\n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。"}, "metadata": {"layout_id": "D", "profile_id": "elderly_living_alone", "query_family": "sq2", "difficulty_level": 3}}
{"pair_id": "DPO_TRAIN_TP_00001_pair", "episode_id": "DPO_TRAIN_TP_00001", "scenario_id": "T-INS-06", "variant": "TP", "prompt": {"system": "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。\n\n你需要基于以下能力进行分析：\n1. 从设备状态变化中识别异常模式\n2. 结合时间、住户习惯、设备类型进行推理\n3. 区分真实威胁和正常行为（减少误报）\n4. 对发现的问题给出具体的风险评估和建议\n\n所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。", "user": "## 家庭环境信息\n家庭布局: 三室两厅 (3BR)\n- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]\n- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]\n- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]\n- 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]\n- 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]\n- 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\n- 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]\n- 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]\n- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]\n- 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]\n\n## 已选日志说明\n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。\n- 任务类型: SQ2\n- 重点房间: entrance\n- 重点设备: front_door_lock, kitchen_light, living_room_occupancy\n- 已选事件数: 32\n\n## 设备事件日志\n[2026-07-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-27T07:37:10] kitchen_light | OnOff.OnOff = False\n[2026-07-27T07:37:37] front_door_lock | DoorLock.LockState = 2\n[2026-07-27T07:37:47] front_door_lock | DoorLock.LockState = 1\n[2026-07-27T15:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-07-27T17:44:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-07-27T17:44:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T19:14:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:09:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:29:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:39:19] front_door_contact | BooleanState.StateValue = True\n[2026-07-27T22:39:20] front_door_lock | DoorLock.LockState = 1\n[2026-07-27T22:44:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:45:04] kids_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:49:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:49:08] master_bedroom_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T22:51:10] dining_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:05:13] master_bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-27T23:09:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:09:08] master_bedroom_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:11:10] dining_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:15:04] kids_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:18:00] front_door_lock | DoorLock.LockState = 2\n[2026-07-27T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:25:00] kitchen_light | OnOff.OnOff = True\n[2026-07-27T23:29:02] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:29:08] master_bedroom_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:35:13] master_bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-27T23:41:10] dining_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:44:03] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-27T23:45:04] kids_room_occupancy | OccupancySensing.Occupancy = 1\n\n## 任务\n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。\n\n请按以下 JSON 格式回答：\n\n```json\n{\n  \"is_anomaly\": true/false,\n  \"confidence\": \"high/medium/low\",\n  \"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\",\n  \"threat_description\": \"一句话描述发现的问题或确认安全\",\n  \"reasoning\": [\n    \"推理步骤1: ...\",\n    \"推理步骤2: ...\",\n    \"推理步骤3: ...\"\n  ],\n  \"key_evidence\": [\n    \"关键证据1\",\n    \"关键证据2\"\n  ],\n  \"recommended_actions\": [\n    \"建议措施1\",\n    \"建议措施2\"\n  ]\n}\n```\n\n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。"}, "metadata": {"layout_id": "C", "profile_id": "family_with_children", "query_family": "sq2", "difficulty_level": 3}}
{"pair_id": "DPO_TRAIN_TP_00002_pair", "episode_id": "DPO_TRAIN_TP_00002", "scenario_id": "T-INS-01", "variant": "TP", "prompt": {"system": "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。\n\n你需要基于以下能力进行分析：\n1. 从设备状态变化中识别异常模式\n2. 结合时间、住户习惯、设备类型进行推理\n3. 区分真实威胁和正常行为（减少误报）\n4. 对发现的问题给出具体的风险评估和建议\n\n所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。", "user": "## 家庭环境信息\n家庭布局: 两室一厅 (2BR)\n- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]\n- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]\n- 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]\n- 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]\n- 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]\n- 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]\n- 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]\n\n## 已选日志说明\n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。\n- 任务类型: SQ3\n- 重点房间: entrance\n- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy\n- 已选事件数: 124\n\n## 跨天活动摘要\n- 2026-08-17: entrance=233, living_room=110, bathroom=56, master_bedroom=48, second_bedroom=48, kitchen=8\n\n## 设备事件日志\n[2026-08-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2307\n[2026-08-17T01:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2301\n[2026-08-17T01:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2304\n[2026-08-17T01:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311\n[2026-08-17T01:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2303\n[2026-08-17T01:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299\n[2026-08-17T01:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2299\n[2026-08-17T01:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2302\n[2026-08-17T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T01:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2308\n[2026-08-17T01:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2313\n[2026-08-17T01:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319\n[2026-08-17T01:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317\n[2026-08-17T01:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2319\n[2026-08-17T01:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2311\n[2026-08-17T01:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310\n[2026-08-17T01:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309\n[2026-08-17T01:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2315\n[2026-08-17T01:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2309\n[2026-08-17T01:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326\n[2026-08-17T01:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2310\n[2026-08-17T01:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329\n[2026-08-17T01:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2322\n[2026-08-17T01:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320\n[2026-08-17T01:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2329\n[2026-08-17T01:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2326\n[2026-08-17T01:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2317\n[2026-08-17T01:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325\n[2026-08-17T01:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2323\n[2026-08-17T02:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2316\n[2026-08-17T02:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334\n[2026-08-17T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2334\n[2026-08-17T02:05:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2321\n[2026-08-17T02:05:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2320\n[2026-08-17T02:10:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333\n[2026-08-17T02:10:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2328\n[2026-08-17T02:10:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335\n[2026-08-17T02:11:00] front_door_lock | DoorLock.LockState = 2\n[2026-08-17T02:11:00] front_door_contact | BooleanState.StateValue = False\n[2026-08-17T02:12:00] entrance_light | OnOff.OnOff = True\n[2026-08-17T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-08-17T02:15:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2333\n[2026-08-17T02:15:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331\n[2026-08-17T02:15:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325\n[2026-08-17T02:20:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2331\n[2026-08-17T02:20:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2338\n[2026-08-17T02:20:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2335\n[2026-08-17T02:20:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2337\n[2026-08-17T02:25:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344\n[2026-08-17T02:25:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341\n[2026-08-17T02:25:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2344\n[2026-08-17T02:25:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348\n[2026-08-17T02:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2343\n[2026-08-17T02:30:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350\n[2026-08-17T02:30:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340\n[2026-08-17T02:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2340\n[2026-08-17T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T02:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2352\n[2026-08-17T02:35:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356\n[2026-08-17T02:35:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341\n[2026-08-17T02:35:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2341\n[2026-08-17T02:40:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2356\n[2026-08-17T02:40:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2349\n[2026-08-17T02:40:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2351\n[2026-08-17T02:40:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2353\n[2026-08-17T02:45:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2346\n[2026-08-17T02:45:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2361\n[2026-08-17T02:45:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2350\n[2026-08-17T02:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355\n[2026-08-17T02:50:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2345\n[2026-08-17T02:50:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2348\n[2026-08-17T02:50:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2355\n[2026-08-17T02:50:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2347\n[2026-08-17T02:55:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2358\n[2026-08-17T02:55:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2357\n[2026-08-17T02:55:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2362\n[2026-08-17T02:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2367\n[2026-08-17T03:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2360\n[2026-08-17T03:00:00] master_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364\n[2026-08-17T03:00:00] second_bedroom_temp_sensor | TemperatureMeasurement.MeasuredValue = 2363\n[2026-08-17T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2365\n[2026-08-17T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T03:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T03:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T03:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T03:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T03:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T07:22:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-08-17T07:22:22] front_door_lock | DoorLock.LockState = 2\n[2026-08-17T07:22:24] front_door_contact | BooleanState.StateValue = False\n[2026-08-17T07:22:27] front_door_contact | BooleanState.StateValue = True\n[2026-08-17T07:22:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)\n[2026-08-17T07:22:28] front_door_lock | DoorLock.LockState = 1\n[2026-08-17T08:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T16:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-08-17T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-08-17T18:25:00] front_door_lock | DoorLock.LockState = 2\n[2026-08-17T18:25:02] front_door_contact | BooleanState.StateValue = False\n[2026-08-17T18:25:10] entrance_light | OnOff.OnOff = True\n[2026-08-17T19:30:18] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-08-17T20:52:10] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-08-17T22:13:10] entrance_light | OnOff.OnOff = False\n[2026-08-17T22:13:40] front_door_contact | BooleanState.StateValue = True\n[2026-08-17T22:13:41] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)\n[2026-08-17T22:13:41] front_door_lock | DoorLock.LockState = 1\n[2026-08-17T22:17:10] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-08-17T23:42:10] living_room_occupancy | OccupancySensing.Occupancy = 1\n\n## 任务\n以下是过去一段时间的设备活动记录。请识别其中是否存在可疑行为模式，并解释你的判断。\n\n请按以下 JSON 格式回答：\n\n```json\n{\n  \"is_anomaly\": true/false,\n  \"confidence\": \"high/medium/low\",\n  \"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\",\n  \"threat_description\": \"一句话描述发现的问题或确认安全\",\n  \"reasoning\": [\n    \"推理步骤1: ...\",\n    \"推理步骤2: ...\",\n    \"推理步骤3: ...\"\n  ],\n  \"key_evidence\": [\n    \"关键证据1\",\n    \"关键证据2\"\n  ],\n  \"recommended_actions\": [\n    \"建议措施1\",\n    \"建议措施2\"\n  ]\n}\n```\n\n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。"}, "metadata": {"layout_id": "B", "profile_id": "young_professional", "query_family": "sq3", "difficulty_level": 2}}
{"pair_id": "DPO_TRAIN_TP_00003_pair", "episode_id": "DPO_TRAIN_TP_00003", "scenario_id": "T-INS-01", "variant": "TP", "prompt": {"system": "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。\n\n你需要基于以下能力进行分析：\n1. 从设备状态变化中识别异常模式\n2. 结合时间、住户习惯、设备类型进行推理\n3. 区分真实威胁和正常行为（减少误报）\n4. 对发现的问题给出具体的风险评估和建议\n\n所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。", "user": "## 家庭环境信息\n家庭布局: 三室两厅 (3BR)\n- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]\n- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]\n- 房间 dining_room: 餐厅灯[dimmable_light], 餐厅运动传感器[occupancy_sensor]\n- 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]\n- 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]\n- 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\n- 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]\n- 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]\n- 房间 second_bathroom: 次卫灯[onoff_light], 次卫漏水传感器[water_leak_detector]\n- 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]\n\n## 已选日志说明\n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。\n- 任务类型: SQ2\n- 重点房间: entrance\n- 重点设备: entrance_light, front_door_contact, front_door_lock, living_room_occupancy\n- 已选事件数: 24\n\n## 设备事件日志\n[2026-07-31T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T01:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:11:00] front_door_lock | DoorLock.LockState = 2\n[2026-07-31T02:11:00] front_door_contact | BooleanState.StateValue = False\n[2026-07-31T02:12:00] entrance_light | OnOff.OnOff = True\n[2026-07-31T02:13:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-31T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T02:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T03:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T03:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-31T07:45:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n\n## 任务\n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。\n\n请按以下 JSON 格式回答：\n\n```json\n{\n  \"is_anomaly\": true/false,\n  \"confidence\": \"high/medium/low\",\n  \"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\",\n  \"threat_description\": \"一句话描述发现的问题或确认安全\",\n  \"reasoning\": [\n    \"推理步骤1: ...\",\n    \"推理步骤2: ...\",\n    \"推理步骤3: ...\"\n  ],\n  \"key_evidence\": [\n    \"关键证据1\",\n    \"关键证据2\"\n  ],\n  \"recommended_actions\": [\n    \"建议措施1\",\n    \"建议措施2\"\n  ]\n}\n```\n\n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。"}, "metadata": {"layout_id": "C", "profile_id": "family_with_children", "query_family": "sq2", "difficulty_level": 2}}
{"pair_id": "DPO_TRAIN_TP_00004_pair", "episode_id": "DPO_TRAIN_TP_00004", "scenario_id": "T-INS-06", "variant": "TP", "prompt": {"system": "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。\n\n你需要基于以下能力进行分析：\n1. 从设备状态变化中识别异常模式\n2. 结合时间、住户习惯、设备类型进行推理\n3. 区分真实威胁和正常行为（减少误报）\n4. 对发现的问题给出具体的风险评估和建议\n\n所有设备基于 Matter 协议标准，设备状态通过 Cluster.Attribute 的形式报告。", "user": "## 家庭环境信息\n家庭布局: 两室一厅 (2BR)\n- 重点房间 entrance: 入户门锁[door_lock], 入户门传感器[contact_sensor], 玄关灯[onoff_light], 玄关运动传感器[occupancy_sensor]\n- 房间 balcony: 阳台灯[onoff_light], 阳台门传感器[contact_sensor], 洗衣机[laundry_washer]\n- 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]\n- 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]\n- 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]\n- 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]\n- 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]\n\n## 已选日志说明\n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。\n- 任务类型: SQ2\n- 重点房间: entrance\n- 重点设备: front_door_lock, kitchen_light, living_room_occupancy\n- 已选事件数: 31\n\n## 设备事件日志\n[2026-07-15T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T07:13:07] kitchen_light | OnOff.OnOff = True\n[2026-07-15T07:29:00] kitchen_light | OnOff.OnOff = False\n[2026-07-15T07:29:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-07-15T07:29:22] front_door_lock | DoorLock.LockState = 2\n[2026-07-15T07:29:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)\n[2026-07-15T07:29:32] front_door_lock | DoorLock.LockState = 1\n[2026-07-15T09:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)\n[2026-07-15T18:06:00] front_door_lock | DoorLock.LockState = 2\n[2026-07-15T19:04:00] kitchen_light | OnOff.OnOff = True\n[2026-07-15T19:31:19] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T21:00:09] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T21:45:47] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Manual)\n[2026-07-15T21:45:47] front_door_lock | DoorLock.LockState = 1\n[2026-07-15T22:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T22:11:07] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T22:30:09] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T22:31:07] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T22:43:30] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T22:50:09] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T22:51:07] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T23:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T23:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T23:10:09] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T23:11:07] entrance_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T23:13:30] bathroom_occupancy | OccupancySensing.Occupancy = 0\n[2026-07-15T23:18:00] front_door_lock | DoorLock.LockState = 2\n[2026-07-15T23:24:00] living_room_occupancy | OccupancySensing.Occupancy = 1\n[2026-07-15T23:25:00] kitchen_light | OnOff.OnOff = True\n\n## 任务\n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。\n\n请按以下 JSON 格式回答：\n\n```json\n{\n  \"is_anomaly\": true/false,\n  \"confidence\": \"high/medium/low\",\n  \"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\",\n  \"threat_description\": \"一句话描述发现的问题或确认安全\",\n  \"reasoning\": [\n    \"推理步骤1: ...\",\n    \"推理步骤2: ...\",\n    \"推理步骤3: ...\"\n  ],\n  \"key_evidence\": [\n    \"关键证据1\",\n    \"关键证据2\"\n  ],\n  \"recommended_actions\": [\n    \"建议措施1\",\n    \"建议措施2\"\n  ]\n}\n```\n\n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。"}, "metadata": {"layout_id": "B", "profile_id": "young_professional", "query_family": "sq2", "difficulty_level": 3}}