通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm has entered a hardware fault state and is non-functional.

Explanation: Raw logs explicitly show 'HardwareFaultAlert = True' and 'Event: HardwareFault()' for the kitchen_smoke_alarm at 02:55:00.

Explanation: This event is corroborated by the expressed state change (ExpressedState = 5), indicating a confirmed internal error rather than a transient glitch.

Explanation: No subsequent smoke detection events were logged despite rising temperatures in the kitchen, confirming the sensor's inability to report.

Immediately inspect the physical smoke detector unit for battery issues or circuit board failure.

Replace the smoke detector if hardware repair is not feasible within the safety window.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1280,
  "salient_event_count": 60,
  "focus_event_count": 108,
  "room_activity": {
    "kitchen": 22,
    "living_room": 33,
    "bedroom": 23,
    "bathroom": 18,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T02:55:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-30T02:55:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-30T07:36:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:36:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T22:11:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T06:34:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-30T07:36:12] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T07:36:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-30T18:08:00] front_door_lock | DoorLock.LockSt

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke detector is experiencing a hardware failure, rendering it non-functional.",
      "supported_by": ["[2026-06-30T02:55:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-30T02:55:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "No other anomalies detected in the kitchen area based on available sensor data (temperature, window contact, etc.).",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "kitchen_smoke_alarm_HardwareFaultAlert",
    "kitchen_smoke_alarm_Event_HardwareFault"
  ],
  "what_to_verify_in_raw_log": [
    "Check if there were any concurrent smoke detection events before or after the HardwareFault timestamp to rule out false negatives.",
    "Verify battery voltage levels for kitchen_smoke_alarm in maintenance logs.",
    "Check network connectivity status of the kitchen_smoke_alarm node around 02:55:00."
  ],
  "provisional_risk": "critical"
}

## Focused Raw Log
[2026-06-30T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-06-30T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2287
[2026-06-30T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-30T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0


状态 vs 实际位置不一致

The bedroom window cover failed to execute the commanded 'Close' action at 00:11 and remains stuck in a partially open position (50%), indicating an actuator or mechanical failure.

Explanation: At 00:11:00, a 'DownOrClose' command was issued to the bedroom window.

Explanation: By 00:11:30, the sensor reported CurrentPositionLiftPercent100ths = 5000 (50%), confirming the device did not reach the closed state.

Explanation: Subsequent logs show no change in position until 21:46 when it opened fully, suggesting the motor stalled or is mechanically jammed.

Explanation: The repeated OperationalStatus code '0b000010' likely indicates a specific error state related to this failure mode.

Manually inspect and test the physical movement of the bedroom window covering.

Check the motor voltage and current draw around 00:11 to confirm if the motor attempted to run but stalled.

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Bedroom window covering (curtains/blinds) failed to execute the commanded 'Close' action at 00:11, remaining partially open or stuck.",
      "supported_by": [
        "[2026-06-26T00:11:00] bedroom_window | Command: DownOrClose",
        "[2026-06-26T00:11:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Bedroom window sensor reports an invalid or ambiguous operational status code ('0b000010') repeatedly around the time of the covering failure.",
      "supported_by": [
        "[2026-06-26T00:11:01] bedroom_window | OperationalStatus = 0b000010",
        "[2026-06-26T00:11:30] bedroom_window | OperationalStatus = 0b000010",
        "[2026-06-26T00:12:00] bedroom_window | OperationalStatus = 0b000010"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Bedroom motion sensor is non-functional; it reports occupancy=0 even during periods when the house was occupied (e.g., evening lock/unlock events and morning wake-up), suggesting a sensor fault rather than true vacancy.",
      "supported_by": [
        "[2026-06-26T07:31:17] front_door_lock | Event: LockOperation...",
        "[2026-06-26T07:31:23] front_door_lock | Event: LockOperation...",
        "[2026-06-26T18:12:00] front_door_lock | Event: LockOperation...",
        "[2026-06-26T21:46:31] front_door_lock | Event: LockOperation...",
        "[2026-06-26T07:31:17] ... | DoorLock.LockState = 2 (Locked)",
        "[2026-06-26T07:31:23] ... | DoorLock.LockState = 1 (Unlocked)",
        "[2026-06-26T07:31:17] bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T00:11:00] bedroom_window | Command: DownOrClose",
    "[2026-06-26T00:11:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000",
    "[2026-06-26T07:31:17] bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check motor current/voltage logs for bedroom_window between 00:11:00 and 00:11:30 to confirm if the device attempted to move but stalled.",
    "Review system error codes associated with the '0b000010' state from the bedroom_window contact_sensor.",
    "Cross-reference bedroom temperature and light usage logs between 18:00 and 07:30 to verify if human presence occurred despite the motion sensor reporting '0'.",
    "Inspect battery voltage levels for both bedroom_window and bedroom_occupancy sensors."
  ],
  "provisional_risk": "medium"
}
```

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1279,
  "salient_event_count": 60,
  "focus_event_count": 104,
  "room_activity": {
    "kitchen": 16,
    "living_room": 32,
    "bedroom": 27,
    "bathroom": 17,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:31:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:31:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T21:46:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T00:11:01] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T00:11:30] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T00:11:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000",
    "[2026-06-26T00:12:00] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T06:40:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-26T07:31:17] front_door_lo

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Bedroom window covering (curtains/blinds) failed to execute the commanded 'Close' action at 00:11, remaining partially open or stuck.",
      "supported_by": [
        "[2026-06-26T00:11:00] bedroom_window | Command: DownOrClose",
        "[2026-06-26T00:11:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Bedroom window sensor reports an invalid or ambiguous operational status code ('0b000010') repeatedly around the time of the covering failure.",
      "supported_by": [
        "[2026-06-26T00:11:01] bedroom_window | OperationalStatus = 0b000010",
        "[2026-06-26T00:11:30] bedroom_window | OperationalStatus = 0b000010",
        "[2026-06-26T00:12:00] bedroom_window | OperationalStatus = 0b000010"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Bedroom motion sensor is non-functional; it reports occupancy=0 even during periods when the house was occupied (e.g., evening lock/unlock events and morning wake-up), suggesting a sensor fault rather than true vacancy.",
      "supported_by": [
        "[2026-06-26T07:31:17] front_door_lock | Event: LockOperation...",
        "[2026-06-26T07:31:23] front_door_lock | Event: LockOperation...",
        "[2026-06-26T18:12:00] front_door_lock | Event: LockOperation...",
        "[2026-06-26T21:46:31] front_door_lock | Event: LockOperation...",
        "[2026-06-26T07:31:17] ... | DoorLock.LockState = 2 (Locked)",
        "[2026-06-26T07:31:23] ... | DoorLock.LockState = 1 (Unlocked)",
        "[2026-06-26T07:31:17] bedroom_occupancy | OccupancySens


状态 vs 实际位置不一致

The bedroom window actuator failed to complete its closing command (DownOrClose) at 16:58, reporting a stuck position halfway (5000%) for over an hour before unexpectedly showing as fully open later.

Explanation: At 16:58:00, a 'DownOrClose' command was sent to the bedroom window actuator.

Explanation: Between 16:58:01 and 16:59:00, the OperationalStatus remained active (0b000010) but the CurrentPositionLiftPercent100ths stayed fixed at 5000 (halfway), indicating the motor did not move or failed to register movement despite being commanded.

Explanation: This sustained half-closed state contradicts normal operation where a close command should result in position 0, suggesting a mechanical jam, sensor feedback failure, or communication timeout during that specific interval.

[2026-06-18T16:58:00] bedroom_window | Command: DownOrClose

Manually inspect and clear any physical obstructions blocking the bedroom window track.

Reset the window covering actuator firmware via the hub or manufacturer app if manual clearing fails.

卧室区域传感器工作正常，窗帘控制逻辑与门窗状态一致。

卧室窗户传感器或执行器存在间歇性通信故障或位置反馈错误（卡在中间位置）。

卧室区域传感器工作正常，窗帘控制逻辑与门窗状态一致。

卧室窗户传感器或执行器存在间歇性通信故障或位置反馈错误（卡在中间位置）。

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1123,
  "salient_event_count": 60,
  "focus_event_count": 108,
  "room_activity": {
    "kitchen": 19,
    "living_room": 33,
    "bedroom": 28,
    "bathroom": 16,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T07:17:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:17:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T22:05:42] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T06:38:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-18T07:17:15] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T07:17:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-18T16:58:01] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-18T16:58:30] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-18T16:58:30] bedroom_window | CurrentPositionLi

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "卧室区域传感器工作正常，窗帘控制逻辑与门窗状态一致。",
      "supported_by": ["[2026-06-18T06:38:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Closed)", "[2026-06-18T22:05:42] front_door_lock | DoorLock.LockState = 1 (Unlocked, likely morning entry)", "[2026-06-18T22:05:37] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Fully Open)", "OperationalStatus consistently shows 0b000010 indicating no error flags in the provided logs"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "卧室窗户传感器或执行器存在间歇性通信故障或位置反馈错误（卡在中间位置）。",
      "supported_by": ["[2026-06-18T16:58:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000 (Halfway position reported while OperationalStatus suggests active operation)"],
      "contradicted_by": ["Later log at 22:05:37 shows position successfully at 10000, suggesting movement was eventually completed or reset"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-18T16:58:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the '5000' (half-closed) reading is a transient spike or sustained state before the 10000 reading.",
    "Verify if there are any corresponding motor current draw spikes or timeout errors in the raw serial logs for the window covering actuator around 16:58.",
    "Confirm if the 'OperationalStatus' code 0b000010 specifically denotes 'Moving' or an 'Error/Alarm' state depending on the device firmware."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-18T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2268
[2026-06-18T00:00:00] living_room_occupancy | OccupancySe


LockDoor 命令后 LockState 未变为 Locked
DoorLockAlarm (LockJammed) 触发
门锁故障意味着家庭物理安全降级

通知住户门锁可能卡住/故障，建议手动检查

The entrance contact sensor is malfunctioning by failing to detect the door's open state immediately after a manual unlock and close cycle, leading to an inconsistent auto-lock report.

Explanation: At 07:17:23, the log shows a Manual Unlock (LockState=2) followed by a transition of front_door_contact from False to True at 07:17:26, confirming the sensor works when manually triggered.

Explanation: However, between 18:05:00 (Manual Lock) and 22:06:51 (Auto Lock), there is no recorded 'front_door_contact' event indicating the door was opened again during this period.

Explanation: At 21:36:15, an alarm fires ('DoorLockAlarm') immediately after a command to lock the door, while the system reports the lock state as locked (2).

Explanation: Crucially, the 'front_door_contact' sensor does not show any 'False' reading around 21:36 or 22:06 that would indicate the door was physically open, yet the system triggers an alarm and subsequent Auto-Lock events suggest it believes the door status changed unexpectedly without user intervention.

Explanation: This pattern indicates the sensor logic or hardware is stuck or reporting incorrect states relative to the actual physical door movement, causing false alarms.

[2026-06-22T07:17:26] front_door_contact | BooleanState.StateValue = True

Absence of front_door_contact toggling between 18:05 and 22:06 despite multiple lock/unlock commands

Inspect the front door magnetic contact sensor wiring and alignment for loose connections or misalignment.

Perform a manual test cycle (open/close door) while monitoring the raw GPIO/I2C values to verify real-time sensor response.

Reset the smart-lock controller firmware to clear potential logic errors associated with the 'Auto' source.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1127,
  "salient_event_count": 60,
  "focus_event_count": 110,
  "room_activity": {
    "kitchen": 18,
    "living_room": 36,
    "bedroom": 22,
    "bathroom": 18,
    "entrance": 16
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:17:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:17:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T21:36:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-22T22:06:51] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T06:29:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-22T07:17:23] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T07:17:27] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T18:05:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T21:36:05] front_door_lock | LockState = 2"

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance area sensor malfunction: The door lock state reporting is inconsistent with the recorded operation events, specifically regarding the 'Auto' lock source.",
      "supported_by": [
        "[2026-06-22T07:17:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-22T07:17:27] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false alarm or sensor logic error in entrance area triggered by an unexplained alarm event without a preceding manual unlock/lock cycle in the immediate vicinity of the alarm code.",
      "supported_by": [
        "[2026-06-22T21:36:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T21:36:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-22T07:17:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and logs for 'entrance_occupancy' sensor around 2026-06-22T21:36:15 to see if human presence was detected triggering the alarm.",
    "Raw GPIO/I2C read values for the contact_sensor on the front door at 2026-06-22T21:36:15 to verify if the door was actually open/closed when the alarm fired.",
    "System log entries for the smart-lock controller firmware to determine if 'OperationSource=Auto' is a known bug or indicates an unauthorized remote trigger."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-22T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue =


通知住户门锁可能卡住/故障，建议手动检查

No anomaly detected; the LockState=2 and AlarmCode=0 events at 01:15 are consistent with a manual locking attempt where the sensor initially reported an open state (likely due to timing or transient noise) before confirming the door was closed, followed by successful auto-locking.

Explanation: At 01:15:00, a 'LockDoor' command was issued. Immediately after at 01:15:05, the system reported LockState=2 (Unlocked/Ajar).

Explanation: However, unlike other timestamps in the log (e.g., 07:19), there is no corresponding 'front_door_contact' event indicating the door was physically opened before this time.

Explanation: The lack of an explicit 'DoorOpen' contact event suggests the LockState=2 reading may be a transient false positive or a delay in status propagation during the manual lock initiation, rather than the door being physically left ajar.

Explanation: Crucially, the subsequent event at 01:15:30 shows a successful 'Auto' lock operation with LockState=1 (Locked), confirming the physical security was restored without human intervention required to re-enter.

Explanation: Comparing with the normal cycle at 07:19 (where Manual Lock -> Contact False -> Contact True -> Auto Unlock occurs), the 01:15 sequence lacks the intermediate 'Contact False' step, suggesting the initial 'Ajar' report was likely a sensor glitch or misinterpretation of the lock motor's movement during the command execution, which self-corrected.

[2026-06-02T01:15:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Absence of 'front_door_contact | BooleanState.StateValue = False' between 01:15:00 and 01:15:30

Monitor the entrance contact sensor for recurring false 'open' readings if they occur frequently.

Consider recalibrating the door position sensor if similar transient states persist.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1131,
  "salient_event_count": 60,
  "focus_event_count": 104,
  "room_activity": {
    "kitchen": 18,
    "living_room": 32,
    "bedroom": 20,
    "bathroom": 17,
    "entrance": 17
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T01:15:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-02T07:19:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:19:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T21:50:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T01:15:05] front_door_lock | LockState = 2",
    "[2026-06-02T01:15:15] front_door_lock | LockState = 2",
    "[2026-06-02T06:28:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-02T07:19:21] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T07:19:30] front_door_lock | DoorLock.LockState = 1",
    "[2

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Entrance contact sensor and door lock are functioning normally with expected manual/auto locking cycles.",
      "supported_by": ["LockOperation events show logical sequence: Manual Lock (Type 1) followed by Auto Unlock (Type 0) at 07:19, 18:12, and 21:50"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential 'Door Left Ajar' or sensor misalignment event detected in the early morning hours due to conflicting state reports.",
      "supported_by": ["At 01:15:05 and 01:15:15, LockState is reported as 2 (likely Unlocked/Ajar), while no corresponding LockUnlock operation event immediately precedes this in the short window, or the transition from locked to ajar lacks a clear trigger event compared to other times."],
      "contradicted_by": ["The subsequent event at 01:15:15 shows an explicit DoorLockAlarm(AlarmCode=0), which might indicate a system check rather than a persistent physical fault, but the lack of a manual unlock event between 00:00 and 01:15 makes the state change suspicious."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-02T01:15:05] front_door_lock | LockState = 2",
    "[2026-06-02T01:15:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)"
  ],
  "what_to_verify_in_raw_log": [
    "Verify if there was a 'DoorOpen' or 'DoorClose' contact sensor event around 01:14:00 - 01:15:00 that triggered the LockState=2.",
    "Check the battery voltage of the entrance door lock and contact sensor to rule out low-power false readings.",
    "Confirm if AlarmCode=0 specifically denotes a 'Status Check' or a specific 'Ajar' alarm definition in the device firmware."
  ],
  "provisional_risk": "low"
}

## Focused Ra


运动传感器高频率周期性触发 该房间无其他活动迹象（灯关、无门窗事件） 周期性极其规律（不像人类活动的随机性）

The bedroom window covering sensor reported an impossible value of 10000 (representing 1000%), indicating a severe data overflow or calibration failure.

Explanation: Analysis of the raw log confirms a valid reading of 0 at 06:26:11, proving the sensor is connected and functional during normal operation.

Explanation: At 22:04:32, the same sensor abruptly reported '10000' for 'CurrentPositionLiftPercent100ths', which exceeds the physical maximum of 100% (1000/100ths) by a factor of ten.

Explanation: This specific out-of-range value contradicts the hypothesis of normal behavior and points directly to a hardware fault (overflow) or communication corruption rather than environmental changes.

Inspect the physical wiring and power supply to the bedroom window motor/sensor unit.

Reset the device firmware or recalibrate the sensor limits if supported remotely.

Inspect the binary data stream for the `bedroom_window` sensor at 22:04:32 to determine if 10000 is a genuine reading, a timeout default, or a packet corruption.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1293,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 21,
    "living_room": 33,
    "bedroom": 25,
    "bathroom": 20,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:22:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:22:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T22:04:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T06:26:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-22T07:22:14] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T07:22:23] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T18:11:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T22:04:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T22:04:36] front_door_l

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Bedroom occupancy sensor is malfunctioning (False Negative) or the room was unoccupied during a period of high activity elsewhere.",
      "supported_by": ["[2026-06-22T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-22T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-22T01:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Bedroom occupancy sensor is working correctly, indicating the bedroom was empty during early morning hours while other rooms also showed no activity.",
      "supported_by": ["[2026-06-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-22T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-22T00:30:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Bedroom window covering sensor reports an impossible value (10000/100ths), likely a data overflow or calibration error.",
      "supported_by": ["[2026-06-22T22:04:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": ["[2026-06-22T06:26:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T22:04:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw motion detection timestamps vs. reported occupancy state to verify if H1 (sensor failure) or H2 (true empty state) is correct.",
    "Inspect the bi


状态 vs 实际位置不一致

The bedroom window covering actuator is stuck in a failed state (motor stall/communication error) preventing normal operation during daylight hours.

Explanation: At 09:51:00, a command 'DownOrClose' was issued to the bedroom window.

Explanation: Immediately at 09:51:01 and persisting through 09:52:00, the device reported OperationalStatus '0b000010', indicating a fault condition.

Explanation: Contradicting the closed command, the CurrentPositionLiftPercent remained at 5000 (half-open) instead of moving to 0 (closed), confirming the actuator failed to execute the command.

Explanation: The occupancy sensor in the bedroom functioned correctly throughout the day (showing presence/absence transitions), isolating the anomaly strictly to the window actuator.

[2026-06-26T09:51:00] bedroom_window | Command: DownOrClose

Manually inspect and operate the bedroom window blind motor to clear any physical obstruction or jam.

Reset the smart home hub or power cycle the window covering device to re-establish communication.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1124,
  "salient_event_count": 60,
  "focus_event_count": 105,
  "room_activity": {
    "kitchen": 17,
    "living_room": 32,
    "bedroom": 26,
    "bathroom": 18,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:33:14] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:33:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T22:11:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T06:44:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-26T07:33:14] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T07:33:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-26T09:51:01] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T09:51:30] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T09:51:30] bedroom_window | CurrentPositionLi

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Bedroom occupancy sensor is functioning correctly, reflecting expected absence of human presence during early morning (00:00) and late night (00:30) intervals.",
      "supported_by": ["[2026-06-26T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Bedroom window covering actuator reports a potential motor stall or communication glitch indicated by an OperationalStatus code '0b000010' occurring while the curtain position data changes from fully closed to partially open.",
      "supported_by": ["[2026-06-26T09:51:01] bedroom_window | OperationalStatus = 0b000010", "[2026-06-26T09:51:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000", "[2026-06-26T09:51:30] bedroom_window | OperationalStatus = 0b000010"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T09:51:30] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T09:51:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw UART/Bluetooth packets for the bedroom_window device at timestamp 09:51:30 to distinguish between a hardware motor fault (stall current spike) and a protocol timeout/retransmission error.",
    "Verify if the '0b000010' status bit corresponds to a specific error code defined in the device firmware manual (e.g., Motor Stall, Overheat, or Open Bus)."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-26T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-06-26T00:00


温度传感器读数漂移（drift）

温度读数持续单向偏移，不符合正常日间温度曲线 其他传感器或空调自带温度显示不一致（如果可以交叉验证）

The living room occupancy sensor is functioning correctly; the reported 'empty' status during early morning hours aligns with normal human sleep cycles and is corroborated by other sensors.

Explanation: All occupancy sensors across the house (living_room, bedroom, bathroom) consistently report '0' between 00:00 and 06:30, indicating a systemic household state rather than a single device failure.

Explanation: Activity logs show no motion triggers, light switches, or appliance interactions in the living room during this period, contradicting the hypothesis of a stuck sensor detecting phantom activity.

Explanation: Occupancy sensors subsequently detect users at 06:45 coinciding with natural wake-up times (light activation), confirming the sensors are responsive and accurate.

[2026-06-04T06:45:00] bedroom_light | OnOff.OnOff = True

[2026-06-04T06:45:04] bedroom_occupancy | OccupancySensing.Occupancy = 1

时间戳集中在凌晨 00:00 - 01:30，符合人类睡眠周期。

Check raw events for 'living_room' between 22:00 and 02:00 to see if there are any light switches, AC interactions, or motion triggers that were NOT captured by the occupancy sensor.

Verify the definition of 'OccupancySensing.Occupancy = 0': Does it mean 'No one detected' or 'Sensor inactive'?

Cross-reference 'room_activity' source types: Are the 35 events in living_room caused by the same device reporting occupancy, or different devices (e.g., lights, AC)? If only occupancy reports zero while other sensors fire, the occupancy sensor is faulty.

时间戳集中在凌晨 00:00 - 01:30，符合人类睡眠周期。

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1281,
  "salient_event_count": 60,
  "focus_event_count": 106,
  "room_activity": {
    "kitchen": 17,
    "living_room": 35,
    "bedroom": 23,
    "bathroom": 20,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T07:20:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:20:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T21:57:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T06:45:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-04T07:20:22] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:20:27] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T18:15:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T21:57:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-04T21:57:27] front_do

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "客厅运动传感器 (living_room_occupancy) 持续报告空房状态，与用户正常作息及全屋其他区域活动迹象不符。",
      "supported_by": [
        "[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-04T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-04T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-04T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "room_activity 显示 living_room 有 35 次活跃事件（远高于 bedroom 的 23 次和 entrance 的 11 次），暗示该房间应有人员存在或高频触发。",
        "bedroom 和 bathroom 在相同时间段也报告 occupancy=0，这可能意味着日志仅记录了特定阈值下的状态快照，或者 H1 仅为部分真相；但鉴于 room_activity 数据，完全的空闲可能性较低。"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "日志中的 occupancy=0 代表真实的夜间休息时段，且 room_activity 计数可能包含非人员触发的环境事件（如灯光定时、窗帘自动调节）。",
      "supported_by": [
        "时间戳集中在凌晨 00:00 - 01:30，符合人类睡眠周期。",
        "suspicious_signals 中包含卧室窗户位置变化 (WindowCovering.CurrentPositionLiftPercent100ths)，可能是自动化脚本运行所致。",
        "所有房间在同一时刻均报告 occupancy=0，表明这是系统性的夜间静默状态，而非单一传感器故障。"
      ],
      "contradicted_by": [
        "room_activity 中 living_room 的活动量 (35) 显著高于其他区域，若无人存在，如此高的活动计数难以解释（除非有大量定时任务，但未在信号中体现）。"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-04T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-04T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-04T01:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw events for 'living_room' between 22:00 an


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen temperature sensor is malfunctioning, reporting physically impossible values that likely caused the smoke alarm to enter a hardware fault state.

Explanation: The raw log shows the kitchen_temp_sensor reporting values starting at 2275 and continuously drifting upwards to 2628 by 19:45:00.

Explanation: These values are inconsistent with realistic ambient temperatures (likely representing raw ADC counts or misinterpreted units) rather than degrees Celsius or Fahrenheit.

Explanation: This data corruption directly correlates with the smoke_alarm triggering a 'HardwareFault' event exactly when the erroneous temperature reading reached its peak.

Explanation: The anomaly stems from the sensor's inability to provide valid data, not from an actual fire condition.

[2026-06-16T19:45:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2628

Immediately replace or recalibrate the kitchen temperature sensor.

Verify the integrity of the sensor's firmware and communication protocol configuration.

Reset the smoke alarm after the sensor issue is resolved to clear the fault status.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1124,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 22,
    "living_room": 33,
    "bedroom": 21,
    "bathroom": 19,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T19:47:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-16T07:14:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T07:14:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T18:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T19:47:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-16T21:58:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T06:31:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-16T07:14:13] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-16T07:14:23] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-16T18:23:00] front_door_lock | DoorLock.LockSt

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm is experiencing a hardware failure, rendering it unable to detect potential fires.",
      "supported_by": ["[2026-06-16T19:47:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-16T19:47:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen sensors (temperature, light) appear operational with no specific error logs or state anomalies in the provided packet.",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-16T19:47:00] kitchen_smoke_alarm | HardwareFaultAlert = True"
  ],
  "what_to_verify_in_raw_log": [
    "Check if any temperature spikes occurred in the kitchen prior to 19:47:00 that were not reported by the temperature_sensor.",
    "Verify the communication link status between the kitchen_smoke_alarm and the hub around 19:47:00.",
    "Confirm if the dishwasher (kitchen_dishwasher) was running at 19:47:00 which might trigger false positives or stress the system."
  ],
  "provisional_risk": "critical"
}

## Focused Raw Log
[2026-06-16T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-06-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-16T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-16T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-16T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2267
[2026-06-16T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2283
[2026-06-16T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm has confirmed a hardware fault, rendering the fire detection system inoperable.

Explanation: Raw logs explicitly show 'HardwareFaultAlert = True' and an 'Event: HardwareFault()' for the kitchen_smoke_alarm at 14:27:00.

Explanation: No subsequent recovery events (e.g., reset or state restoration) are present in the log stream.

Explanation: While other sensors show data drift (temperature values starting with '2'), this is likely a unit conversion artifact (Celsius to Kelvin) and does not contradict the definitive hardware failure of the smoke detector.

Immediately replace or reset the kitchen smoke alarm according to manufacturer guidelines.

Verify fire safety coverage by testing backup detectors in adjacent rooms.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1347,
  "salient_event_count": 60,
  "focus_event_count": 106,
  "room_activity": {
    "kitchen": 22,
    "living_room": 39,
    "bedroom": 24,
    "bathroom": 18,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T14:27:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-27T14:27:00] kitchen_smoke_alarm | Event: HardwareFault()",
    "[2026-06-27T23:13:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-27T08:31:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T09:51:20] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T23:13:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-27T23:13:27] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm is experiencing a hardware fault, rendering it non-operational for fire detection.",
      "supported_by": ["[2026-06-27T14:27:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-27T14:27:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen temperature sensor and other kitchen devices (light, cook surface) are functioning within normal parameters as no specific error logs or anomalous readings are present for them in the provided evidence.",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-27T14:27:00] kitchen_smoke_alarm | HardwareFaultAlert = True"
  ],
  "what_to_verify_in_raw_log": [
    "Check the immediate preceding log entries for 'kitchen_smoke_alarm' to identify if there was a power surge, firmware crash, or battery failure event causing the hardware fault.",
    "Verify if the 'HardwareFault()' event persists in subsequent minutes to determine if the device requires replacement or a reset.",
    "Cross-reference with the kitchen window sensor (<contact_sensor>) status during the fault time to ensure the system didn't lose contact due to a broader network issue affecting only that node."
  ],
  "provisional_risk": "high"
}

## Focused Raw Log
[2026-06-27T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-27T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-27T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-27T00:05:00] living_r


温度传感器读数漂移（drift）

The living room occupancy sensor is stuck in an 'empty' state (0), contradicting the presence of occupants indicated by activity in adjacent rooms and temperature changes.

Explanation: Raw logs show multiple instances where bedroom and bathroom occupancy sensors detected movement (e.g., at 06:20 and 06:46), confirming human presence in the house during this period.

Explanation: Despite the confirmed presence of people moving between rooms, the living_room_occupancy sensor consistently reported 'Occupancy = 0' at every sampling interval from 00:00 to 06:55.

Explanation: This persistent mismatch between the known state (people present) and the sensor reading (empty) indicates a hardware failure or firmware freeze rather than normal operation.

[2026-06-04T06:20:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-04T06:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Physically inspect the living room motion sensor for battery issues or obstruction.

Reset the living room occupancy device via the smart home hub interface.

Replace the sensor if the reset fails or if it continues to report incorrect states.

Compare battery voltage or last-calibration timestamp for living_room_occupancy if available in metadata.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1126,
  "salient_event_count": 60,
  "focus_event_count": 112,
  "room_activity": {
    "kitchen": 21,
    "living_room": 37,
    "bedroom": 25,
    "bathroom": 18,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T07:34:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:34:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T22:05:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T06:20:05] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-04T07:34:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:34:23] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T18:15:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T22:05:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-04T22:05:35] front_do

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor exhibits a 'stuck' state, reporting continuous absence (0) for the entire monitoring period despite significant room activity (37 events).",
      "supported_by": ["living_room_occupancy reports Occupancy=0 at 00:00:00", "living_room_occupancy reports Occupancy=0 at 00:30:00 and subsequent hourly intervals", "room_activity count for living_room is 37, suggesting other devices triggered in this zone"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The low frequency of specific occupancy trigger logs (only hourly snapshots provided) might be due to log sampling configuration rather than sensor failure.",
      "supported_by": ["Logs only show data at :00 and :30 minute marks", "No motion events explicitly logged in the 'suspicious_signals' list for living_room"],
      "contradicted_by": ["High room_activity count (37) implies device interactions that typically correlate with presence or movement detection"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-04T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-04T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-04T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check for any 'Occupancy' change events between 00:00 and 01:30 specifically for living_room_occupancy.",
    "Verify if the 37 'room_activity' events in living_room correspond to light switches, temperature changes, or window coverings operated by an absent user (remote control), or if they are ghost triggers from the faulty sensor itself.",
    "Compare battery vol


状态 vs 实际位置不一致

The living room motion sensor is functioning correctly; the previous 'stuck' hypothesis was invalidated by the log entry at 21:58 showing occupancy detection after a window operation event.

Explanation: The raw log confirms that the living room occupancy sensor successfully detected presence (Occupancy=1) at 2026-06-05T21:58:10 following a window operation at 21:50, contradicting the theory that it was permanently stuck in 'Empty'.

Explanation: The earlier readings of Occupancy=0 between 00:00 and 21:58 align with typical low-activity periods or potential data gaps in the summary view, but are not sufficient to diagnose a malfunction without considering the successful trigger later.

Explanation: No other anomalies such as temperature drifts, lock failures, or unauthorized access attempts were found in the provided focused log excerpt.

[2026-06-05T21:58:10] living_room_occupancy | OccupancySensing.Occupancy = 1

None required; system appears healthy based on current evidence.

Check for 'DeviceOffline' or 'BatteryLow' flags associated with living_room_occupancy specifically.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1280,
  "salient_event_count": 60,
  "focus_event_count": 102,
  "room_activity": {
    "kitchen": 16,
    "living_room": 34,
    "bedroom": 23,
    "bathroom": 17,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:15:18] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:15:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T21:56:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T06:37:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-05T07:15:18] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T07:15:25] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T18:06:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T21:50:01] living_room_window | OperationalStatus = 0b000010",
    "[2026-06-05T21:50:30] living_room_window | Operationa

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 living_room 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room motion sensor is stuck in 'Empty' state, likely failing to detect occupancy despite significant activity events (34) and window operation logs occurring in the same room.",
      "supported_by": [
        "[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-05T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "room_activity count for living_room is 34 (highest among rooms except kitchen)",
        "Multiple living_room_window operational events between 21:50:01 and 21:51:00 indicate physical interaction/changes in the space that should trigger motion detection."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Living room temperature sensor is functioning correctly as no temperature anomalies were flagged in the summary data.",
      "supported_by": [
        "temperature_patterns: [] (No suspicious temperature spikes or drops reported)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Discrepancy between high room_activity_count (34) and persistent Occupancy=0 readings at 00:00 and 00:30.",
    "OperationalStatus changes on living_room_window at 21:50 suggest someone was present manipulating the window, yet motion sensor remained off."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the 34 living_room activity events to see if they correlate with motion sensor triggers or if the sensor missed them entirely.",
    "Raw telemetry from living_room_occupancy around 21:50 to check if the sensor registered a 'motion' event before settling back to 0, or if it was permanently disabled.",
    "Check


LockDoor 命令后 LockState 未变为 Locked
DoorLockAlarm (LockJammed) 触发
门锁故障意味着家庭物理安全降级

通知住户门锁可能卡住/故障，建议手动检查

The front door lock mechanism failed to transition from 'Locked' to 'Unlocked' despite successful physical contact sensor readings and auto-unlock commands, indicating a mechanical or actuator failure.

Explanation: At 18:01, the system received a manual unlock command, but the LockState remained 2 (Locked) even though the contact sensor correctly reported the door as open (False/Gap detected) at 18:01:02.

Explanation: At 21:24, repeated 'LockDoor' commands successfully set the state to Locked, proving the locking actuator works, but subsequent attempts to unlock (implied by the alarm logic or lack of state change after T21:55) show asymmetry.

Explanation: The critical failure is observed around 21:55: where the contact sensor reports 'True' (Closed/Secure) immediately followed by an Auto Unlock event. However, reviewing the sequence prior to 21:55, the system logged 'Command: LockDoor' twice at 21:24 without a corresponding successful unlock event earlier that day, suggesting the lock is mechanically stuck in the closed position despite the controller trying to operate it.

Explanation: Actually, re-evaluating the strict log flow: The lock was locked at 18:01. The sensor said open. At 21:24, user tried to lock (redundant). At 21:55, sensor says closed (door shut), then auto-unlock happens. The anomaly is specifically the **failure to unlock** between 18:01 and 21:55 if the door was physically opened and left open, OR the sensor reading 'True' at 21:55:44 is actually the *result* of the door being forced shut or the sensor finally aligning, but the LockState only changed to 1 AFTER the sensor read True. Wait, looking closer: At 21:55:44 Sensor=True, THEN LockState=1. This implies the auto-logic worked ONLY because the sensor triggered. But why did it stay locked from 18:01 to 21:55? The most likely scenario based on 'AlarmCode=0' and 'LockOperationType=0' (Auto) at 21:55:45 is that the system eventually unlocked it automatically when it detected the door was closed (perhaps someone entered and closed it, or the sensor glitched back to closed).

Explanation: Correction on reasoning for High Confidence: The log shows a clear discrepancy. At 18:01, Manual Lock Command -> State=Locked. Contact Sensor -> False (Open). No Unlock occurred. The door remained logically 'Locked' while physically 'Open'. At 21:55, the Contact Sensor suddenly flips to True (Closed), triggering an Auto Unlock (State=1). This suggests either the door was physically closed and latched (locking itself?) or the sensor malfunctioned. Given the previous state was Open, a sudden flip to Closed without human interaction (no occupancy spike in living room mentioned in that specific gap, though bedroom lights were on) combined with the inability to manually unlock earlier points to a **Lock Malfunction** (stuck latch) or a **Sensor Drift/Malfunction**. However, since the lock *did* eventually transition to Unlocked upon the sensor changing state, the primary risk is the lock failing to release during the open period (18:01-21:55) or the sensor falsely reporting 'Closed' to trigger a false sense of security. The most consistent technical fault is the **Lock Actuator** failing to disengage while the sensor indicated an open circuit (gap).

[2026-06-22T18:01:00] ... LockOperation(LockOperationType=1, OperationSource=Manual) ... LockState = 2 (Locked)

[2026-06-22T18:01:02] front_door_contact | BooleanState.StateValue = False (Indicates door is OPEN)

[2026-06-22T21:55:44] front_door_contact | BooleanState.StateValue = True (Suddenly indicates door is CLOSED)

[2026-06-22T21:55:45] front_door_lock | DoorLock.LockState = 1

Physically inspect the entrance door lock mechanism for jamming or obstruction.

Replace the front door contact sensor to rule out sensor drift causing the false 'Closed' trigger at 21:55.

Test manual override functionality to ensure the actuator can force unlock independently of the sensor.

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance area contact sensor (DoorLock) is stuck in 'Locked' state despite manual unlock attempts and lack of corresponding unlock events, indicating a potential hardware failure or firmware logic error.",
      "supported_by": [
        "[2026-06-22T21:24:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
        "[2026-06-22T07:28:17] ... LockState = 2 (Locked) -> [07:28:26] ... LockState = 1 (Unlocked) [Normal Cycle]",
        "[2026-06-22T18:01:00] ... LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T18:01:00] ... LockState = 2 (Locked)",
        "[2026-06-22T21:24:05] ... LockState = 2",
        "[2026-06-22T21:24:15] ... LockState = 2",
        "[2026-06-22T21:55:45] ... LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "[2026-06-22T07:28:26] ... LockState = 1"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The door lock functioned correctly during the morning cycle (07:28), transitioning from Locked to Unlocked successfully after a manual operation.",
      "supported_by": [
        "[2026-06-22T07:28:17] ... LockState = 2",
        "[2026-06-22T07:28:26] ... LockState = 1",
        "[2026-06-22T07:28:26] ... LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "[2026-06-22T18:01:00] ... LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T21:24:15] ... DoorLockAlarm(AlarmCode=0)",
        "[2026-06-22T21:55:45] ... LockOperation(LockOperationType=0, OperationSource=Auto)"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T21:24:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "Discrepancy between Manual Unlock attempt at 18:01 (LockState remains 2/Locked) and subsequent Alarm event."
  ],
  "what_to_verify_in_raw_log": [
    "Raw GPIO/UART logs for the entrance contact sensor around 2026-06-22T18:01:00 to confirm if the physical latch actually moved or if the state change was only reported digitally.",
    "Battery voltage levels for the front_door_lock module at T21:24 to rule out low-power induced sticking.",
    "Signal strength/interference logs near the entrance antenna at T21:24 to rule out communication loss causing false alarms.",
    "Timestamp alignment between the 'DoorLockAlarm' event and any motion sensor triggers in the entrance room."
  ],
  "provisional_risk": "medium"
}
```

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1284,
  "salient_event_count": 60,
  "focus_event_count": 108,
  "room_activity": {
    "kitchen": 17,
    "living_room": 33,
    "bedroom": 23,
    "bathroom": 18,
    "entrance": 17
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:28:17] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:28:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T21:24:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-22T21:55:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T06:30:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-22T07:28:17] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T07:28:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T18:01:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T21:24:05] front_door_lock | LockState = 2"

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance area contact sensor (DoorLock) is stuck in 'Locked' state despite manual unlock attempts and lack of corresponding unlock events, indicating a potential hardware failure or firmware logic error.",
      "supported_by": [
        "[2026-06-22T21:24:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
        "[2026-06-22T07:28:17] ... LockState = 2 (Locked) -> [07:28:26] ... LockState = 1 (Unlocked) [Normal Cycle]",
        "[2026-06-22T18:01:00] ... LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T18:01:00] ... LockState = 2 (Locked)",
        "[2026-06-22T21:24:05] ... LockState = 2",
        "[2026-06-22T21:24:15] ... LockState = 2",
        "[2026-06-22T21:55:45] ... LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "[2026-06-22T07:28:26] ... LockState = 1"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The door lock functioned correctly during the morning cycle (07:28), transitioning from Locked to Unlocked successfully after a manual operation.",
      "supported_by": [
        "[2026-06-22T07:28:17] ... LockState = 2",
        "[2026-06-22T07:28:26] ... LockState = 1",
        "[2026-06-22T07:28:26] ... LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "[2026-06-22T18:01:00] ... LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T21:24:15] ... DoorLockAlarm(AlarmCode=0)",
        "[2026-06-22T21:55:45] ... LockOperation(LockOperationType=0, OperationSource=Auto)"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T21:24:15] front_door_lock | Ev


运动传感器高频率周期性触发 该房间无其他活动迹象（灯关、无门窗事件） 周期性极其规律（不像人类活动的随机性）

The second_bedroom occupancy sensor is stuck in a 'dead' state, reporting zero occupancy for over 20 hours despite the room being active (11 events recorded) and other sensors functioning normally.

Explanation: Stage-1 analysis identified a discrepancy: 11 activity events were recorded for second_bedroom, but occupancy remained at 0.

Explanation: Raw log confirms second_bedroom_occupancy stayed at 0 from 00:00 until the end of the provided log, while other rooms like living_room correctly updated to 1 at 21:49.

Explanation: Since the system detected events (likely from window/contact sensors as hypothesized) but failed to update the primary occupancy metric, the specific motion/occupancy unit has malfunctioned rather than the entire house failing.

"[2026-06-08T21:49:09] living_room_occupancy | OccupancySensing.Occupancy = 1" (demonstrates system capability to detect presence)

"room_activity.second_bedroom = 11" (indicates physical activity occurred that was not reflected in the occupancy sensor reading)

Physically inspect and replace or recalibrate the second_bedroom occupancy/motion sensor.

Verify if the 11 logged events correspond to auxiliary sensors (window/contact) and adjust automation rules if they are sufficient for current needs.

[2026-06-08T18:16:00] front_door_lock | DoorLock.LockState = 2

[2026-06-08T21:47:27] front_door_lock | DoorLock.LockState = 1

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Second bedroom occupancy sensor exhibits a 'dead' state, reporting zero occupancy continuously despite significant room activity recorded in the summary statistics.",
      "supported_by": ["room_activity.second_bedroom = 11 (indicates events occurred), \"[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\", \"[2026-06-08T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\""],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The room activity count of 11 for second_bedroom represents non-motion events (e.g., window contact, light toggles) rather than human presence detected by the motion sensor.",
      "supported_by": ["room_activity.second_bedroom = 11", "Layout description lists multiple sensors in second_bedroom including window_covering and contact_sensor"],
      "contradicted_by": ["suspicious_signals contains only occupancy snapshots which are static zeros; no other sensor data is provided to confirm if the 11 events were indeed non-motion"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-08T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check timestamps corresponding to the 11 'second_bedroom' events listed in room_activity: Determine if they originate from 'occupancy_sensor', 'window_covering', or 'contact_sensor'.",
    "Inspect raw telemetry for 'second_bedroom_occupancy' between 00:30:00 and 07:24:27 to see if it ever transitions from 0 to 1.",
    "Verify if other motion sensors in the house (living_room, master_bedroom, entrance) show similar 'stuck at 0' behavior during their respective active hours to rule out a global system failure."
  ],
  "provisional_risk": "medium"
}
```

room_activity.second_bedroom = 11 (indicates events occurred), "[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-08T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1656,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 12,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:24:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:24:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T21:47:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T07:24:27] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-08T07:24:35] front_door_lock | DoorLock.LockState = 1",

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 second_bedroom 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Second bedroom occupancy sensor exhibits a 'dead' state, reporting zero occupancy continuously despite significant room activity recorded in the summary statistics.",
      "supported_by": ["room_activity.second_bedroom = 11 (indicates events occurred), \"[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\", \"[2026-06-08T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0\""],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The room activity count of 11 for second_bedroom represents non-motion events (e.g., window contact, light toggles) rather than human presence detected by the motion sensor.",
      "supported_by": ["room_activity.second_bedroom = 11", "Layout description lists multiple sensors in second_bedroom including window_covering and contact_sensor"],
      "contradicted_by": ["suspicious_signals contains only occupancy snapshots which are static zeros; no other sensor data is provided to confirm if the 11 events were indeed non-motion"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-08T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check timestamps corresponding to the 11 'second_bedroom' events listed in room_activity: Determine if they originate from 'occupancy_sensor', 'window_covering', or 'contact_sensor'.",
    "Inspect raw telemetry for 'second_bedroom_occupancy' between 00:30:00 and 07:24:27 to see if it ever transitions from 0 to 1.",
    "Verify if other motion sensors in the house (living_roo


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The kitchen smoke alarm has confirmed a hardware fault and may be inoperative at a critical time.

Explanation: Stage-1 analysis identified specific log entries for 'HardwareFaultAlert = True' and 'Event: HardwareFault()' on the kitchen_smoke_alarm at 18:05.

Explanation: Raw log verification confirms these exact error events occurred at [2026-06-08T18:05:00], with no contradictory status updates indicating recovery.

Explanation: While other sensors (temperature) are reporting data, the failure of the primary fire detection device renders the safety system non-functional, posing a significant risk regardless of current environmental readings.

Immediately inspect the physical state of the kitchen smoke alarm unit.

Replace or repair the smoke alarm to restore fire detection capabilities.

[2026-06-08T22:49:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-08T07:20:27] front_door_lock | DoorLock.LockState = 2

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1838,
  "salient_event_count": 60,
  "focus_event_count": 94,
  "room_activity": {
    "kitchen": 15,
    "living_room": 19,
    "master_bedroom": 18,
    "second_bedroom": 10,
    "bathroom": 9,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T18:05:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-08T07:20:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:20:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T16:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T17:53:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T18:05:00] kitchen_smoke_alarm | Event: HardwareFault()",

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 kitchen 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Kitchen smoke alarm is experiencing a hardware fault, potentially rendering it inoperative.",
      "supported_by": ["[2026-06-08T18:05:00] kitchen_smoke_alarm | HardwareFaultAlert = True", "[2026-06-08T18:05:00] kitchen_smoke_alarm | Event: HardwareFault()"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "No direct evidence suggests the other kitchen sensors (temperature, window contact) are malfunctioning based on the provided log snippets.",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-08T18:05:00] kitchen_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-08T18:05:00] kitchen_smoke_alarm | Event: HardwareFault()"
  ],
  "what_to_verify_in_raw_log": [
    "kitchen_temperature_sensor readings around 18:05 to check for sensor dropouts or erratic values.",
    "kitchen_window_contact_sensor status at 18:05 to ensure no window breach coincided with the fault event.",
    "Full error code details for 'HardwareFault' from the smoke alarm manufacturer logs.",
    "Historical uptime/heartbeat logs for the kitchen_smoke_alarm device prior to 18:05."
  ],
  "provisional_risk": "high"
}

## Focused Raw Log
[2026-06-08T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-08T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0


通知住户门锁可能卡住/故障，建议手动检查

The entrance sensor reported empty during a door interaction, but this is consistent with the house being unoccupied at night and the alarm potentially triggered by non-human activity or a rapid transit event where no occupancy was registered.

Explanation: The provided raw log confirms the house was completely unoccupied (Occupancy=0) from midnight through 20:31, supporting the hypothesis that the 'Empty' reading was accurate for the time period.

Explanation: While a DoorLockAlarm occurred at 20:31:15, the lack of concurrent occupancy data cannot definitively prove sensor failure; it could result from an automated lock cycle, a very fast exit/entry without dwell time, or interference.

Explanation: Without specific radio signal strength (RSSI) data for the entrance sensor during the incident window to rule out communication errors, we must treat the sensor status as consistent with the known empty state rather than faulty.

Verify if the 20:31:15 alarm corresponds to a scheduled automation task or a missed manual entry in logs.

Check physical placement of the entrance motion sensor for potential blind spots near the door frame.

[2026-06-27T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

Verify if the front_door_lock event at 20:31:15 was triggered by a human user (manual unlock/lock) or an automated routine, which might explain why the person walked through quickly enough for the sensor not to register.

Cross-reference the timestamp of the 'DoorLockAlarm' with the specific sensor ID for the entrance contact sensor to see if it registered a 'Break' event simultaneously.

## Task
Analyze the following evidence packet for a smart-home anomaly query.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

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

## Evidence Packet
{
  "sq_type": "SQ1",
  "event_count": 1575,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 11,
    "living_room": 25,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 12,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T20:31:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-27T22:59:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-27T10:10:13] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-27T20:31:05] front_door_lock | LockState = 2",
    "[2026-06-27T20:31:15] front_door_lock | LockState = 2",
    "[2026-06-27T22:59:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T00:00:00] m

## Task
Make the final anomaly decision from compressed evidence plus a focused raw-log excerpt.

## Query
请检查以下设备状态历史，判断 entrance 区域的传感器 是否工作正常。如果异常，请说明可能的故障类型。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Entrance occupancy sensor (entrance_occupancy) is stuck reporting 'Empty' (0) during a confirmed door interaction event.",
      "supported_by": [
        "[2026-06-27T20:31:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
        "[2026-06-27T20:31:05] front_door_lock | LockState = 2",
        "[2026-06-27T20:31:15] front_door_lock | LockState = 2"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The system correctly reported no occupancy at midnight and early morning intervals, consistent with an empty house state.",
      "supported_by": [
        "[2026-06-27T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-27T00:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-27T01:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "[2026-06-27T20:31:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)"
      ]
    }
  ],
  "most_concerning_signals": [
    "Door lock alarm triggered at 20:31:15 without any concurrent occupancy detection in the entrance area.",
    "Door lock state changes (LockState=2, then back to 1) around 20:31 suggest physical interaction or automated operation while the motion sensor reports zero occupancy."
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw signal strength (RSSI) of the entrance_occupancy sensor during the window [20:31:00 - 20:32:00] to rule out radio interference.",
    "Verify if the front_door_lock event at 20:31:15 was triggered by a human user (manual unlock/lock) or an automated routine, which might explain why the person walked through quickly enough for t