触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

Entrance sensors are functioning correctly with no signs of malfunction, drift, or intrusion during the monitored period.

Explanation: Occupancy sensor at entrance correctly reported '0' (empty) throughout the night and morning until 21:20 when activity began.

Explanation: At 21:20, occupancy detected at entrance immediately triggered a chain reaction: living room occupancy became 1, followed by window opening in living room, indicating normal resident return behavior.

Explanation: Door contact sensor logic is sound: state flipped to False upon manual lock attempt at 16:29 and 18:15, then returned to True after auto-lock completion at 22:40.

Explanation: No discrepancies found between door lock operations and contact sensor states.

[2026-06-05T21:20:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-05T21:20:10] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-05T22:40:18] front_door_contact | BooleanState.StateValue = True

[2026-06-05T16:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-05T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-05T22:40:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-05T06:27:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-05T07:41:29] front_door_lock | DoorLock.LockState = 2

[2026-06-05T07:41:38] front_door_lock | DoorLock.LockState = 1

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2287,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 7,
    "living_room": 17,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:41:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:41:38] front_door_lock |

## 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 sensors (contact_sensor, occupancy_sensor) are functioning correctly. The door lock operates as expected with both manual and auto modes, and occupancy states align with the time of day (empty at midnight, active during daytime events).",
      "supported_by": [
        "[2026-06-05T07:41:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T07:41:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-05T22:40:19] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-05T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [],
  "provisional_risk": "none"
}

## Focused Raw Log
[2026-06-05T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269
[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0
[2026-06-05T00:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2278
[2026-06-05T00:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2280
[2026-06-05T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0


DF-06-FP: 窗帘正常移动但速度慢

The master bedroom occupancy sensor is malfunctioning by reporting 'Empty' during daylight hours while other system data indicates active usage or potential presence, creating a false negative.

Explanation: Raw logs show all room occupancy sensors (including living_room, kitchen, etc.) reporting '0' at midnight, which is consistent with the house being empty at that specific time.

Explanation: However, the raw log for master_bedroom_window shows distinct motor activity between 14:34:00 and 14:34:30 (position changing from 55% to 100%), indicating the room was actively used during the day.

Explanation: Despite this confirmed physical activity in the master bedroom, the master_bedroom_occupancy sensor consistently reports '0' (Empty) throughout the entire night and presumably during the day, contradicting the window cover actuator data.

Explanation: This discrepancy suggests the occupancy sensor is either obstructed, misaligned, or has a hardware failure, leading to unreliable status reporting.

[2026-06-20T14:34:00] to [2026-06-20T14:34:30] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths changes from 5500 to 10000

[2026-06-20T00:00:00] to [2026-06-20T03:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

Inspect the master bedroom ceiling/floor for obstructions blocking the PIR sensor's field of view.

Check the battery voltage level of the master bedroom occupancy sensor.

Calibrate or replace the master bedroom occupancy sensor if obstruction is ruled out.

[2026-06-20T14:34:10] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 5500

[2026-06-20T14:34:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 7000

[2026-06-20T14:34:30] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

Check raw packet timestamps for master_bedroom_window to determine if the status toggle coincides with network glitches or actual motor stopping mid-travel.

Cross-reference master_bedroom motion sensor logs (if separate from occupancy) or video feeds (if available) during the day hours to confirm physical presence despite the 'Occupancy=0' reading.

Verify battery voltage levels for both the window covering motor controller and the master bedroom occupancy sensor in device health logs.

## 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 master_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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 1494,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 8,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 14,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T14:34:01] master_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-20T14:34:10] master_bedroom_window | Window

## 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 master_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": "Master bedroom window covering control system is experiencing intermittent communication failure or positional jitter, indicated by rapid status toggling between 'Operational' and 'Not Operational' within a 60-second window.",
      "supported_by": ["[2026-06-20T14:34:01] master_bedroom_window | WindowCovering.OperationalStatus = 0b000010 (Operational)", "[2026-06-20T14:34:30] master_bedroom_window | WindowCovering.OperationalStatus = 0b000000 (Not Operational)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Master bedroom occupancy sensor is reporting persistent 'Empty' status during daylight hours when other sensors show normal activity patterns, suggesting potential sensor misalignment, obstruction, or battery failure.",
      "supported_by": ["[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-20T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "Room activity count for master_bedroom is 14, significantly higher than expected for an empty room at this granularity, implying other devices are active while the occupancy sensor fails to detect presence."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-20T14:34:01] master_bedroom_window | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-20T14:34:30] master_bedroom_window | WindowCovering.OperationalStatus = 0b000000",
    "[2026-06-20T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw packet timestamps for master_bedroom_window to determine if the status toggle coincides with network glitches or


触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

Entrance sensors are functioning normally with logical state transitions between manual/auto lock operations and contact sensor readings.

Explanation: Manual lock operations (07:13, 16:30, 17:51) correctly resulted in Locked state (2), followed immediately by Auto-lock events (07:14, 22:29) resulting in Locked state (1).

Explanation: The front_door_contact sensor accurately reflected the door's physical state: it reported 'Open' (False) only during brief manual unlock intervals (07:13:25-07:13:33, 17:51:02-17:51:03) and was consistently 'Closed' (True) when the lock was engaged or at night.

Explanation: No discrepancies were found where the contact sensor indicated 'Open' while the LockState indicated 'Locked', ruling out mechanical faults or sensor desyncs.

Sequence: LockOperation(Manual)->LockState=2 -> LockOperation(Auto)->LockState=1 matches expected behavior.

front_door_contact StateValue toggled False only during explicit manual unlock windows and returned True before auto-lock events.

Continue routine monitoring; no immediate intervention required.

[2026-06-02T07:13:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T16:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T17:51:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T22:24:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T06:47:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-02T07:13:23] front_door_lock | DoorLock.LockState = 2

[2026-06-02T07:13:34] front_door_lock | DoorLock.LockState = 1

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Entrance area sensors (door lock, occupancy) are functioning normally; the door was manually locked/unlocked by residents during the day and auto-locked at night.",
      "supported_by": [
        "Multiple manual LockOperation events with Source='Manual' at 07:13, 16:30, and 17:51.",
        "DoorLock.LockState transitions logically follow the operations (State 2=Locked after manual lock, State 1=Unlocked after manual unlock).",
        "Auto-lock event at 22:24:29 corresponds to a State change to Locked (State 1 -> 2 or similar transition implied by time proximity).",
        "Occupancy sensor recorded 0 at midnight, consistent with expected empty state for an entrance area when the house is asleep."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or misalignment in occupancy sensing if the door remained unlocked longer than expected based on lock logs.",
      "supported_by": [
        "Gap between last manual unlock (implied before 22:24) and the explicit auto-lock event could theoretically allow entry if not monitored, though no intrusion attempt signals exist."
      ],
      "contradicted_by": [
        "The sequence of LockState values shows the door was securely locked (State 2) immediately after manual locking events and at night via auto-lock.",
        "No contradictory 'unauthorized_entry' or 'sensor_stuck_open' alerts in the suspicious_signals list."
      ]
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Verify exact timestamps of DoorLock.LockState changes vs. LockOperation events to ensure no missed state transitions.",
    "Check if any contact_sensor (front_door_contact) reports 'Open' while LockState indicates 'Locked', which would indicate a mechanical fault or sensor desync."
  ],
  "provisional_risk": "none"
}
```

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2293,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 14,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:13:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:13:34] front_door_lock |

## 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": "normal",
      "description": "Entrance area sensors (door lock, occupancy) are functioning normally; the door was manually locked/unlocked by residents during the day and auto-locked at night.",
      "supported_by": [
        "Multiple manual LockOperation events with Source='Manual' at 07:13, 16:30, and 17:51.",
        "DoorLock.LockState transitions logically follow the operations (State 2=Locked after manual lock, State 1=Unlocked after manual unlock).",
        "Auto-lock event at 22:24:29 corresponds to a State change to Locked (State 1 -> 2 or similar transition implied by time proximity).",
        "Occupancy sensor recorded 0 at midnight, consistent with expected empty state for an entrance area when the house is asleep."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or misalignment in occupancy sensing if the door remained unlocked longer than expected based on lock logs.",
      "supported_by": [
        "Gap between last manual unlock (implied before 22:24) and the explicit auto-lock event could theoretically allow entry if not monitored, though no intrusion attempt signals exist."
      ],
      "contradicted_by": [
        "The sequence of LockState values shows the door was securely locked (State 2) immediately after manual locking events and at night via auto-lock.",
        "No contradictory 'unauthorized_entry' or 'sensor_stuck_open' alerts in the suspicious_signals list."
      ]
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Verify exact timestamps of DoorLock.LockState changes vs. LockOperation events to ensure no missed state transitions.",
    "Check if any co


DF-02-FP: 夏季午后持续升温（正常日照效应）

温度上升后在午后到达峰值并回落，符合日间正弦曲线；而真正的漂移是不回落的单向偏移

Master bedroom sensors are functioning correctly; the window reading indicates a closed state consistent with low occupancy and stable temperature.

Explanation: Occupancy logs confirm the master bedroom was unoccupied from 00:00:00 until 22:17:16 when entry occurred.

Explanation: The window sensor reading of 10000 at 22:17:23 aligns with standard protocols for 'fully closed' (similar to kids_room_window reading 10000 at 20:43), not an error code.

Explanation: Temperature data shows no thermal spikes or drops that would indicate an open window or air exchange during the night.

[2026-06-25T22:17:16] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Continue routine monitoring.
No immediate intervention required.

[2026-06-25T07:12:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-25T16:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T17:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T22:17:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-25T06:43:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-25T07:12:20] front_door_lock | DoorLock.LockState = 2

[2026-06-25T07:12:26] front_door_lock | DoorLock.LockState = 1

Verify if the '10000' value corresponds to the protocol's specific definition for 'Closed' (often 0 or 10000 depending on firmware) versus a sensor fault code.

Cross-reference temperature sensor data in master_bedroom around 22:17 to ensure no sudden thermal change occurred that might indicate an open 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 master_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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2305,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:12:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:12:26] 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 master_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": "Master bedroom sensors are functioning correctly, reflecting a standard night-time state where the room is unoccupied and windows are closed.",
      "supported_by": [
        "master_bedroom_activity_count: 11 (consistent with nightly routine events)",
        "suspicious_signals[22]: master_bedroom_window reported fully closed at 22:17:32 (10000/100ths)",
        "suspicious_signals[26-31]: All occupancy sensors in every room, including master_bedroom, consistently report 0 occupancy starting from 00:00:00"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor drift causing an inconsistent window status reading during a period of known inactivity.",
      "supported_by": [],
      "contradicted_by": [
        "The reading of '10000' for lift percent typically indicates 'fully closed' rather than an error code in many protocols, but if the expected state was open, this would be anomalous. However, no evidence suggests the window should have been open.",
        "No other anomalies (temperature spikes, motion detection when empty) are present to suggest environmental disturbance requiring window intervention."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-25T22:17:23] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw binary payload or calibration logs for the master_bedroom_window contact_sensor between 22:17:20 and 22:18:00 to confirm physical position vs. reported value.",
    "Verify if the '10000' value corresponds to the protocol's specific definition for 'Closed' (often 0 or 10000 d


DF-04-FP: 门锁响应延迟但最终成功锁定

Entrance sensors are functioning correctly; observed state changes align with manual user commands and contact sensor events.

Explanation: LockState transitions at 07:10:28 (Lock->2) and 07:10:31 (Unlock->1) perfectly match the explicit LockOperation events in the raw log.

Explanation: The contact_sensor event at 07:10:30 (False/Open) immediately precedes the auto-unlock command at 07:10:31, confirming normal security logic.

Explanation: The apparent 'mismatch' at 08:32:03 is explained by the absence of a logged operation event in that specific snippet, but the subsequent rapid toggle to state 1 at 08:32:08 indicates the device is responsive and not stuck.

Log entry: [2026-06-19T07:10:28] front_door_lock | Event: LockOperation(LockOperationType=1...)

Log entry: [2026-06-19T07:10:30] front_door_contact | BooleanState.StateValue = False

[2026-06-19T07:10:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T17:52:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T22:20:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T06:11:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-19T07:10:28] front_door_lock | DoorLock.LockState = 2

[2026-06-19T07:10:31] front_door_lock | DoorLock.LockState = 1

Timestamp 08:32:03 shows LockState=2 (Locked) but no corresponding LockOperation(LockOperationType=1) event immediately preceding it in the provided snippet (closest is 08:32:08 which is Unlock). This could be a missed event log or a state change without command log.

Search raw logs for 'entrance_occupancy' or 'front_door_contact' around timestamps where activity spikes occur to confirm if occupancy changes were recorded.

Check the exact millisecond alignment between 'LockOperation' commands and 'DoorLock.LockState' updates at 08:32:03 to determine if the state update was uncommanded (sensor glitch) or just a logging delay.

Verify if the 'contact_sensor' associated with the front door is distinct from the 'door_lock' device in the device registry to ensure we aren't conflating two devices.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2299,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 6,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:10:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:10:31] front_door_lock |

## 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 area sensors (front_door_lock, contact_sensor) are functioning normally.",
      "supported_by": [
        "DoorLock.LockState transitions (2->1 and 1->2) align perfectly with Manual LockOperation events at the same timestamps.",
        "No contradictory state reports (e.g., lock reported open while being locked manually)."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive occupancy detection in entrance area due to high event count relative to other rooms or lack of specific occupancy signal logs.",
      "supported_by": [
        "entrance has the highest room_activity count (23) compared to living_room (15), yet no explicit 'OccupancySensing.Occupancy' log entries are present in suspicious_signals for the entrance (unlike master_bedroom, kids_room, etc.).",
        "High activity count might indicate sensor noise or rapid toggling if not reflected in clear occupancy states."
      ],
      "contradicted_by": [
        "The query specifically asks about 'sensors' generally; the door lock state consistency is a strong indicator of normal operation for the primary security sensor.",
        "Absence of data does not prove malfunction, but suggests a reporting gap or that occupancy was static during the sampled window."
      ]
    }
  ],
  "most_concerning_signals": [
    "Mismatch between high entrance activity count (23) and absence of explicit occupancy state logs in suspicious_signals section.",
    "Timestamp 08:32:03 shows LockState=2 (Locked) but no corresponding LockOperation(LockOperationType=1) event immediately preceding it in the provided snippet (closest is 08:32:08 which is Un


触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

No anomaly detected; the entrance sensor is functioning normally as occupancy was correctly recorded when a person entered the area shortly before an auto-lock event.

Explanation: The raw log shows a manual lock operation at 07:49:25 and an auto-lock at 07:49:32, but no corresponding 'entrance_occupancy' reading in this specific window.

Explanation: However, a definitive positive confirmation exists at 21:12:03 where 'entrance_occupancy' switched to Occupancy=1.

Explanation: This state change occurred immediately after other room activities (kids_room_window closing) and roughly 1 hour before the next door interaction, proving the sensor successfully detects human presence when present.

Explanation: The lack of a reading during the 07:49 sequence does not indicate malfunction because the subsequent successful detection at 21:12 confirms the device is active and responsive.

[2026-06-01T21:12:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-01T06:43:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-01T07:49:25] front_door_lock | DoorLock.LockState = 2

[2026-06-01T07:49:32] front_door_lock | DoorLock.LockState = 1

Timestamps of 'entrance_occupancy' sensor readings immediately preceding and following each 'front_door_lock' event.

Signal strength (RSSI) or battery level logs for the 'entrance_occupancy_sensor' during the active hours.

Raw binary state transitions of the contact sensor to rule out physical obstruction or misalignment.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2292,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 9,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T07:49:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T07:49:32] front_door_lock |

## 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 is malfunctioning or obstructed, failing to detect the presence of a person who just locked/unlocked the front door.",
      "supported_by": [
        "[2026-06-01T07:49:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-01T07:49:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-01T16:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-01T17:52:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-01T22:45:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The entrance area has low activity (21 events), but this is consistent with a quiet period or automated locking cycles without human movement detected by the specific motion sensor.",
      "supported_by": [
        "room_activity.entrance = 21"
      ],
      "contradicted_by": [
        "Multiple manual and auto lock operations occurring within the same timeframe suggest physical interaction at the door, which should trigger an occupancy event if the sensor were functional."
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal gap between 'front_door_lock' operation events and any corresponding 'entrance_occupancy' state changes.",
    "High frequency of door lock operations (manual and auto) without corroborating occupancy data in the entrance zone."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of 'entrance_occupancy'


DF-05-FP: 烟雾报警器正常自检

有完整的自检流程（TestInProgress=true → SelfTestComplete → TestInProgress=false），不是HardwareFault

Kitchen sensors are functioning correctly with normal temperature readings and a successful smoke alarm self-test.

Explanation: The kitchen temperature sensor reported consistent and logical values (ranging from 22.6°C to 23.4°C) throughout the monitoring period, showing no signs of being stuck or malfunctioning.

Explanation: The kitchen smoke alarm successfully initiated a self-test at 15:56 and completed it by 15:56:30 with an expressed state of 0 (normal), contradicting any hypothesis of sensor failure.

Explanation: No fault codes, offline statuses, or suspicious signal events were recorded for the kitchen area in the provided logs.

[2026-06-10T17:55:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2325

Continue routine monitoring; no immediate action required.

[2026-06-10T15:56:00] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 4

[2026-06-10T15:56:30] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = False

[2026-06-10T07:11:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-10T07:11:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-10T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

Check connection status (online/offline) and battery levels for 'kitchen_water_leak_detector' and 'kitchen_contact_sensor'.

Verify if the 12 events attributed to 'kitchen' correspond to the smoke alarm test or legitimate user interactions with lights/appliances.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2303,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 12,
    "living_room": 14,
    "dining_room": 7,
    "master_bedroom": 10,
    "second_bedroom": 6,
    "kids_room": 12,
    "master_bathroom": 6,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T15:56:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-06-10T15:56:00] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedS

## 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": "normal",
      "description": "Kitchen smoke alarm is functioning correctly as it successfully completed a scheduled self-test.",
      "supported_by": [
        "[2026-06-10T15:56:00] kitchen_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
        "[2026-06-10T15:56:30] kitchen_smoke_alarm | Event: SelfTestComplete()",
        "[2026-06-10T15:56:30] kitchen_smoke_alarm | SmokeCoAlarm.ExpressedState = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Kitchen sensors lack activity or fault reporting, suggesting potential sensor failure, disconnection, or that no events warrant logging in this specific snapshot.",
      "supported_by": [
        "focus_event_count for kitchen is not explicitly listed but room_activity shows only 12 events total for the room, dominated by other devices if present; however, the suspicious_signals list contains NO kitchen temperature, water leak, or contact sensor events despite being active rooms (based on context of other logs).",
        "Absence of any 'temperature_sensor', 'water_leak_detector', or 'contact_sensor' state changes in the provided suspicious_signals section."
      ],
      "contradicted_by": [
        "The layout confirms these devices exist in the kitchen. The low count of 12 events for the kitchen might be normal if the house was quiet during this period, making the absence of *suspicious* signals a normal state rather than an anomaly."
      ]
    }
  ],
  "most_concerning_signals": [],
  "what_to_verify_in_raw_log": [
    "Query raw logs for 'kitchen_temperature_sensor' to verify if readings are static or missing over the last 24 hours.",
    "Check connection status (online/offline) and battery le


DF-06-FP: 窗帘正常移动但速度慢

The second_bedroom sensor system is functioning normally; the window covering fully opened as reported by the motor log, and the absence of a specific 'contact_sensor' trigger event in this snippet does not indicate a malfunction given the lack of contradictory occupancy or state data.

Explanation: Evidence confirms sequential window covering state changes from closed (0b000010) to fully open (10000) between 06:19:01 and 06:19:30.

Explanation: The provided raw log excerpt shows continuous occupancy reports for second_bedroom (all zeros) but no explicit boolean flip for a window contact sensor, which could be due to logging granularity or the sensor type being different (e.g., magnetic vs. reed switch logic not explicitly logged here).

Explanation: No other indicators such as unexpected occupancy spikes, temperature anomalies, or conflicting actuator states suggest a hardware failure or security breach.

WindowCovering.CurrentPositionLiftPercent100ths = 10000 at 06:19:30 indicates successful full opening.

second_bedroom_occupancy logs show consistent '0' status with no gaps during the active period.

Verify if the window contact sensor uses a different event name convention in the full schema.

Confirm that the operational requirement does not strictly mandate a contact_sensor log entry upon reaching 100% lift position.

[2026-06-24T07:20:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-24T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-24T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-24T22:31:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-24T06:19:01] second_bedroom_window | WindowCovering.OperationalStatus = 0b000010

[2026-06-24T06:19:10] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 5500

[2026-06-24T06:19:20] second_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 7000

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2295,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 6,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 12,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:20:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:20:29] front_door_

## 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
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "次卧 (second_bedroom) 的传感器系统工作正常，窗帘开合逻辑与时间线一致，且该区域有正常的活动记录。",
      "supported_by": ["Evidence shows sequential window covering state changes from closed (0b000010) to fully open (10000) between 06:19:01 and 06:19:30, followed by a stable 'Open' status.", "Room activity count for second_bedroom is 12, indicating sensor data was successfully ingested and processed without gaps."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "次卧窗户传感器可能因窗帘物理遮挡或安装位置问题导致误报（False Negative），未能检测到窗帘完全开启后的状态变化。",
      "supported_by": [],
      "contradicted_by": ["WindowCovering.CurrentPositionLiftPercent100ths explicitly reports 10000 (100%) at 06:19:30, yet no corresponding contact_sensor trigger event is visible in the provided log snippet."]
    }
  ],
  "most_concerning_signals": [
    "Absence of explicit 'contact_sensor' trigger events for second_bedroom_window despite clear motorized curtain movement logs showing 100% lift.",
    "Potential correlation between front_door_lock manual operations and subsequent auto-locks, though this affects security logic rather than sensor health directly."
  ],
  "what_to_verify_in_raw_log": [
    "Search for any raw boolean flips on 'second_bedroom_window_contact_sensor' within the 06:19:00 to 06:45:00 timeframe to confirm if a signal was missed or filtered.",
    "Check calibration settings for the second_bedroom_window contact sensor to see if it has a configured delay or hysteresis that might suppress frequent toggling.",
    "Verify if the 'suspicious_signals' list truncation hides other sensor anomalies specific to the second_bedroom zone."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-


DF-02-FP: 夏季午后持续升温（正常日照效应）

The master bedroom occupancy sensor is functioning normally; the apparent absence of data at midnight was a system-wide synchronization event, as confirmed by simultaneous zero-readings across all other sensors and subsequent normal operation throughout the day.

Explanation: Step 1: Analyzed the 00:00 timestamp logs and observed that all occupancy sensors (living_room, dining_room, second_bedroom, kids_room, master_bathroom, entrance) reported 'Occupancy = 0' simultaneously.

Explanation: Step 2: Verified continuity by checking logs for later timestamps (e.g., 00:30, 01:00, 07:13), confirming the master_bedroom_occupancy sensor resumed reporting correctly and tracked state changes (e.g., detecting presence at 07:13 and remaining occupied until late evening).

Explanation: Step 3: Concluded that the single point of 'zero' reading at exactly 00:00:00 is consistent with a scheduled house-wide reset or cloud sync window rather than a specific hardware failure in the master bedroom.

[2026-06-12T07:13:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

No action required; the sensor is operating within expected parameters.

Monitor future midnight resets to confirm this is a recurring scheduled maintenance window.

[2026-06-12T07:11:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-12T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-12T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-12T22:35:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-12T06:39:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-12T07:11:28] front_door_lock | DoorLock.LockState = 2

[2026-06-12T07:11:31] front_door_lock | DoorLock.LockState = 1

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Master bedroom occupancy sensor is likely malfunctioning or misconfigured, as it reports 'No Occupancy' during the same timestamp interval (00:00) when other rooms also report zero, but lacks temporal context to distinguish between a house-wide power reset and a specific sensor failure.",
      "supported_by": [
        "[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The system experienced a scheduled daily reset or data synchronization event at midnight affecting all occupancy sensors simultaneously, causing temporary false negatives across the entire home.",
      "supported_by": [
        "[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check if other sensor types in master_bedroom (temperature, motion history prior to 00:00, light status) show continuity around T=00:00 to rule out total device offline status.",
    "Verify if the 00:00:00 timestamp corresponds to a known firmware update, battery replacement, or cloud sync window for the occupancy sensor module.",
    "Compare the uptime duration of the master_bedroom_occupancy sensor against other room sensors to see if it has a history of dropping exactly at midnight."
  ],
  "provisional_risk": "low"
}
```

## 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 master_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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2296,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 14,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T07:11:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T07:11:31] 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 master_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": "Master bedroom occupancy sensor is likely malfunctioning or misconfigured, as it reports 'No Occupancy' during the same timestamp interval (00:00) when other rooms also report zero, but lacks temporal context to distinguish between a house-wide power reset and a specific sensor failure.",
      "supported_by": [
        "[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The system experienced a scheduled daily reset or data synchronization event at midnight affecting all occupancy sensors simultaneously, causing temporary false negatives across the entire home.",
      "supported_by": [
        "[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-12T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-12T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check if other sensor types in master_bedroom (temperature, motion history prior to 00:00, light status) show continuity around T=00:00


DF-05-FP: 烟雾报警器正常自检

Living room sensors are functioning correctly; the smoke alarm reading indicates a routine self-test, and occupancy data reflects normal unoccupied periods for a house at night.

Explanation: The smoke alarm events show a clear sequence of TestInProgress=True followed by SelfTestComplete and TestInProgress=False, confirming a planned maintenance action rather than an alarm.

Explanation: Occupancy readings of '0' in the living room from midnight to early morning align with typical household behavior (empty rooms when no one is home) and are corroborated by zero readings in all other rooms during the same interval.

Explanation: Later logs confirm the system detects occupancy changes correctly when people enter bedrooms and dining areas, proving the sensor network is active and responsive.

[2026-06-05T07:22:00] living_room_smoke_alarm | SmokeCoAlarm.ExpressedState = 4

[2026-06-05T07:22:30] living_room_smoke_alarm | SmokeCoAlarm.TestInProgress = False

[2026-06-05T07:22:30] living_room_smoke_alarm | SmokeCoAlarm.ExpressedState = 0

[2026-06-05T07:46:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-05T07:46:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-05T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

Check raw timestamps surrounding 00:00:00 for the living_room_occupancy sensor to determine if the '0' value represents a valid measurement of an empty room or a missing packet/data gap.

Verify the source IP/MAC address of the living_room_occupancy event at 00:00:00 to ensure it matches the known device ID for the living room motion sensor.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2295,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 6,
    "living_room": 18,
    "dining_room": 7,
    "master_bedroom": 12,
    "second_bedroom": 6,
    "kids_room": 15,
    "master_bathroom": 6,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:22:00] living_room_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
    "[2026-06-05T07:22:00] living_room_smoke_alarm | SmokeCoAlarm

## 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": "normal",
      "description": "Living room sensors are functioning correctly; the smoke alarm reading is a routine self-test, not an actual fire event.",
      "supported_by": [
        "[2026-06-05T07:22:00] living_room_smoke_alarm | SmokeCoAlarm.TestInProgress = True",
        "[2026-06-05T07:22:30] living_room_smoke_alarm | Event: SelfTestComplete()",
        "The state transition from TestInProgress=True to False and the explicit 'SelfTestComplete' event indicate a planned maintenance action rather than an anomaly."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor data corruption or reporting delay in living room occupancy detection.",
      "supported_by": [
        "[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "Evidence shows simultaneous zero-occupancy reports for both living_room and dining_room at midnight. Given typical household activity patterns (e.g., morning lock operations later that day), a sustained zero-reading could indicate a sensor stuck-off or a timestamp alignment issue where the system reset before detecting presence."
      ],
      "contradicted_by": [
        "room_activity counts show 18 events in living_room, suggesting the device is active and transmitting data throughout the period, which argues against a complete hardware failure, though it does not rule out intermittent blind spots."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw timestamps surrounding 00:00:00 for the living_room_occupancy sensor to determine if the '0' val


DF-04-FP: 门锁响应延迟但最终成功锁定

The entrance contact sensor exhibits a critical malfunction where it reports 'open' (False) immediately after a manual lock operation, failing to reflect the physical state of the closed door.

Explanation: At 07:37:29, a manual lock command was issued, and the system correctly updated LockState to Locked (2).

Explanation: However, at 07:37:31, the raw log shows the front_door_contact reported False (Open), which contradicts the locked status and the subsequent re-lock event at 07:37:36.

Explanation: This pattern indicates the sensor is either physically stuck open or electronically desynchronized from the actual door position, leading to potential false alarms or security logic failures.

Explanation: Other anomalies like temperature drift (2275K) and window value overflow (10000%) confirm broader sensor reporting issues, but the door contact failure is the specific anomaly for the entrance area.

[2026-06-29T07:37:31] front_door_contact | BooleanState.StateValue = False

Manually verify the physical position of the entrance door and test the contact switch continuity.

Calibrate or replace the entrance door contact sensor to resolve the open/closed state discrepancy.

Review firmware for the door lock module to check for known bugs regarding sensor polling during lock transitions.

[2026-06-29T07:37:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T16:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-29T22:14:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T06:42:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-29T07:37:37] front_door_lock | DoorLock.LockState = 1

[2026-06-29T22:14:24] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-29T17:06:08] front_door_lock | DoorLock.LockState = 1

Check raw GPIO/RFID logs for entrance contact_sensor around 17:06 to verify if the physical door was actually open/closed when the lock state changed unexpectedly.

Verify if the 'Auto' lock operation at 07:37:37 and 22:14:30 triggered any corresponding lock state changes that were missed in the summary log.

Inspect firmware version and calibration parameters for the window covering motors to address the '10000' value anomaly.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2461,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 13,
    "dining_room": 8,
    "master_bedroom": 14,
    "second_bedroom": 7,
    "kids_room": 10,
    "master_bathroom": 8,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:37:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:37:37] front_door_lock |

## 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 door lock sensor data is inconsistent with manual lock operation events, suggesting a potential sensor failure or logic desynchronization.",
      "supported_by": [
        "[2026-06-29T07:37:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T07:37:29] front_door_lock | DoorLock.LockState = 2 (Locked state reported immediately after manual lock command)",
        "[2026-06-29T17:06:03] front_door_lock | DoorLock.LockState = 2 (Door reports locked state at 17:06)",
        "[2026-06-29T17:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T17:59:00] front_door_lock | DoorLock.LockState = 2"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Occupancy sensors across the house are functioning normally, showing consistent zero occupancy during early morning hours as expected for an empty home scenario.",
      "supported_by": [
        "[2026-06-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Window covering position values exceed logical bounds (10000 instead of 100), indicating a calibration error or firmware bug in window motor reporting.",
      "supported_by": [
        "[2026-06-29T20:40:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-2


DF-06-FP: 窗帘正常移动但速度慢

The living_room_light_1 sensor is malfunctioning by reporting impossible window covering data and invalid position values (5500-10000) instead of light status.

Explanation: Raw logs confirm living_room_light_1 is incorrectly broadcasting WindowCovering messages rather than LightState.

Explanation: Position values (5500, 7000, 10000) exceed the valid physical range for a 100th-of-percent scale (max 100), indicating firmware corruption or sensor misconfiguration.

Explanation: OperationalStatus changed to 0b000000 (invalid/error state) immediately after the out-of-range value, confirming a device failure rather than a normal operational cycle.

Explanation: Nighttime occupancy=0 readings are consistent with low human activity during sleep hours and do not indicate a network-wide outage given other sensor traffic.

Check the physical connection and power supply to living_room_light_1.

Reset the device firmware or re-pair it with the hub.

Review device configuration to ensure it is mapped to 'Light' and not 'WindowCovering'.

[2026-06-27T13:53:20] living_room_light_1 | WindowCovering.CurrentPositionLiftPercent100ths = 7000

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

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

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

Cross-reference the 'room_activity' counts against the full log timeline to see if the 8 activities in kitchen/dining correspond to the anomaly timestamps.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 1494,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 8,
    "living_room": 22,
    "dining_room": 8,
    "master_bedroom": 8,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T13:53:01] living_room_light_1 | WindowCovering.OperationalStatus = 0b000010",
    "[2026-06-27T13:53:10] living_room_light_1 | WindowCovering

## 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": "客厅主灯 (living_room_light_1) 的固件或传感器状态报告存在严重逻辑错误：设备被错误地分类为窗帘类型，且其位置百分比数值超出物理范围（5500-10000），随后状态变为无效。",
      "supported_by": [
        "[2026-06-27T13:53:01] living_room_light_1 | WindowCovering.OperationalStatus = 0b000010",
        "[2026-06-27T13:53:10] living_room_light_1 | WindowCovering.CurrentPositionLiftPercent100ths = 5500",
        "[2026-06-27T13:53:30] living_room_light_1 | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-27T13:53:30] living_room_light_1 | WindowCovering.OperationalStatus = 0b000000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "在凌晨时段（00:00 - 01:00），所有房间的运动传感器均持续报告无活动（Occupancy = 0）。虽然夜间静默可能是正常的，但结合 H1 中的异常数据流，这可能暗示整个 sensor 网络处于非预期模式（如进入维护模式、电池耗尽或通信中断导致的静默）。",
      "supported_by": [
        "[2026-06-27T00:00:00] ... OccupancySensing.Occupancy = 0",
        "[2026-06-27T00:30:00] ... OccupancySensing.Occupancy = 0",
        "[2026-06-27T01:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": "room_activity 显示 kitchen, dining_room 等区域有 8 次活动记录，表明系统并非完全离线，或者这些活动发生在其他未被列出的时间窗口。"
    }
  ],
  "most_concerning_signals": [
    "living_room_light_1 reporting as WindowCovering with impossible position values (5500-10000)",
    "Universal occupancy=0 across all rooms between 00:00 and 01:00 despite system activity elsewhere"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw message type of 'living_room_light_1' events to confirm if they are misrouted or firmware-generated garbage.",
    "Verify the timestamp continuity for 'living_room_occupancy' during the night hours to rule out packet loss.",
    "Cross-reference the


DF-04-FP: 门锁响应延迟但最终成功锁定

Entrance sensors are functioning normally with no evidence of synchronization lag, missed state updates, or malfunction.

Explanation: Contact sensor state changes consistently follow lock operations within a logical physical timeframe (seconds), indicating normal mechanical delay rather than sensor failure.

Explanation: State transitions match expected logic: Door opens (contact=False) after manual unlock, and door closes (contact=True) before or during auto-lock cycles.

Explanation: No contradictory signals such as 'open' doors reported while locked, or 'closed' doors reported while unlocked, were found in the raw logs.

[2026-06-05T07:22:21] front_door_lock | Event: LockOperation(LockOperationType=1...)

[2026-06-05T07:22:23] front_door_contact | BooleanState.StateValue = False

[2026-06-05T22:34:25] front_door_contact | BooleanState.StateValue = True

[2026-06-05T22:34:26] front_door_lock | Event: LockOperation(LockOperationType=0...)

[2026-06-05T06:29:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-05T07:22:21] front_door_lock | DoorLock.LockState = 2

[2026-06-05T07:22:29] front_door_lock | DoorLock.LockState = 1

None identified strictly for entrance sensors; most concerning signal relates to window covering status changes in other rooms not part of the specific query scope.

General observation: High event count in entrance (26) vs lower counts elsewhere suggests active usage, but no error codes or stale data flags are present in the provided packet.

Compare exact millisecond timestamps of 'front_door_contact_sensor' state changes against 'front_door_lock' operation logs to rule out <1 second latency causing ghost triggers.

Check raw logs for any 'OccupancySensing.Occupancy' events in 'entrance_occupancy' specifically during the transition from LockState 2 (Locked) to 1 (Unlocked) to ensure motion wasn't falsely detected as non-occupancy due to rapid movement.

Verify if the contact sensor has a hysteresis setting that might explain why a manual unlock (07:22:29 Auto source? Wait, 07:22:29 says Auto but 07:22:21 says Manual - verify if user touched handle vs auto-lock cycle triggered by smart lock).

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<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>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 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>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 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_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 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": 2303,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 6,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:22:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:22:29] front_door_lock |

## 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 sensors (contact_sensor, occupancy_sensor) are functioning correctly, detecting manual door lock/unlock events and reporting accurate door states.",
      "supported_by": [
        "[2026-06-05T07:22:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T07:22:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-05T16:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T17:54:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-05T22:34:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-05T07:22:21] ... DoorLock.LockState = 2",
        "[2026-06-05T07:22:29] ... DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor synchronization lag or missed state update between the contact sensor (door open/close detection) and the lock state reporting mechanism.",
      "supported_by": [
        "Discrepancy in timestamps: Contact sensor operations at 07:22:21/07:22:29 show ~8s gap, while state updates at same time show consistent change. However, check if contact sensor explicitly reports 'open' immediately upon 'unlock' without delay."
      ],
      "contradicted_by": [
        "No explicit log showing the contact sensor reporting a false 'closed' state when the door was unlocked manually, nor vice versa within the provided suspicious signals list."
      ]
    }
  ],
  "most_concerning_signals": [
    "None ident


触发间隔不规律（不是周期性的），且频率较低（几分钟一次不是几十秒一次）

The kitchen occupancy sensor is malfunctioning by remaining stuck in '0' state during active hours despite confirmed human presence and appliance usage.

Explanation: Raw logs show the resident enters the home at 07:02 and turns on the kitchen light at 07:02, indicating activity in that zone.

Explanation: At 07:03:04, the log explicitly records 'kitchen_occupancy | OccupancySensing.Occupancy = 1', confirming the sensor was functional and capable of detecting occupancy shortly after activation.

Explanation: Following this, the sensor output drops to '0' again (e.g., at 08:30) while other rooms remain empty or transition later; given the context of an elderly user who cooks regularly, a sustained '0' reading immediately after a positive detection suggests the device reset incorrectly or got stuck, rather than reflecting true absence.

Explanation: Temperature readings for the kitchen are rising steadily (2269 -> 2414), consistent with heating/cooking activity, which contradicts the idea that the room is truly unoccupied.

[2026-06-05T07:03:04] kitchen_occupancy | OccupancySensing.Occupancy = 1

Subsequent readings at 08:30 and beyond show Occupancy = 0 despite no door exit events and rising temperature.

Inspect the kitchen occupancy sensor hardware and replace battery if applicable.

Reset the sensor node or check for firmware updates causing logic errors on state transitions.

Temporarily rely on motion-triggered lights or cooking surface sensors as backup verification until fixed.

[2026-06-05T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0

[2026-06-05T00:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0

Search for 'kitchen_cook_surface' events between 08:00 and 20:00 to confirm if stove usage occurred despite occupancy reading 0.

Check for 'kitchen_light' state transitions or 'kitchen_water_leak_detector' triggers that would imply human presence or appliance operation.

Verify if the 'kitchen_occupancy' device ID matches the expected hardware serial number and check its last heartbeat timestamp against the log time.

## 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: 独居老人 (Elderly Living Alone)
- 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>, 床头灯<onoff_light>
- 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>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 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": 1885,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 24,
    "bedroom": 18,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:02:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:02:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T20:35:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T05:29:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-05T07:02:09] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T07:02:13] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T08:32:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T12:27:12] bedroom_window | WindowCovering.CurrentP

## 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 occupancy sensor failure (False Negative): The sensor consistently reports 'No Occupancy' during times when the resident is active in other rooms, or potentially fails to detect presence entirely if no activity events are logged for the kitchen despite it being a high-traffic area.",
      "supported_by": ["kitchen_occupancy | OccupancySensing.Occupancy = 0 at 00:00:00", "kitchen_occupancy | OccupancySensing.Occupancy = 0 at 00:30:00", "suspicious_signals shows only 22 activity events for kitchen compared to living_room (24) and entrance (21), which is low but not impossible; however, combined with continuous 0 readings suggests lack of dynamic updates or detection"],
      "contradicted_by": ["room_activity count for kitchen is 22, indicating some interaction was recorded elsewhere or by other sensors, making total silence less likely but still suspicious for an elderly user who should cook regularly"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen sensors are functioning normally; reported zero occupancy reflects actual absence or very low activity periods typical of meal prep cycles where cooking surface usage might be sporadic.",
      "supported_by": ["suspicious_signals lists specific lock operations and window movements but explicitly excludes any kitchen-specific anomaly flags like smoke or leak alerts"],
      "contradicted_by": ["The layout context specifies 'Elderly Living Alone', implying frequent kitchen use; consistent '0' readings across multiple timestamps without corresponding 'CookSurface' activation or 'Occupancy' changes (transitions) suggests potential sensor staleness rather than true absence."]
    }
  ],
  "most_concern


DF-02-FP: 夏季午后持续升温（正常日照效应）

The living room occupancy sensor is malfunctioning by reporting 'Empty' for the majority of the day despite confirmed human activity in other rooms and subsequent entry into the living room.

Explanation: Raw logs show all sensors (kitchen, bedroom, bathroom, entrance) reported '0' (empty) simultaneously between 00:00 and 06:54, which is a system-wide false negative likely due to low light or calibration at night, not necessarily total failure.

Explanation: At 12:20:07, the living_room_occupancy sensor finally changed state from 0 to 1, confirming it was functional but had been stuck or blind since the previous update.

Explanation: Between 12:20:07 and 14:03:14, while the kitchen sensor registered occupancy at 12:24:00 and the bedroom at 14:03:00, the living room sensor remained at 0 until 14:03:14, indicating it failed to detect movement when residents were actively moving through the home.

Explanation: The temperature data shows gradual warming consistent with occupancy throughout the morning, further proving that people were present while the sensor reported empty.

[2026-06-12T12:20:07] living_room_occupancy | OccupancySensing.Occupancy = 1 (First positive reading after long period of zeros)

[2026-06-12T12:24:00] kitchen_occupancy | OccupancySensing.Occupancy = 1 (Proves residents are active while LR sensor is still 0)

[2026-06-12T14:03:14] living_room_occupancy | OccupancySensing.Occupancy = 1 (Late detection compared to other rooms)

Inspect the living room occupancy sensor battery and lens for obstruction.

Check sensor configuration settings (e.g., sensitivity threshold, daylight override logic).

Replace the sensor unit if hardware fault persists after cleaning/calibration.

## 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: 独居老人 (Elderly Living Alone)
- 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>, 床头灯<onoff_light>
- 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>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 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": 1862,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 21,
    "living_room": 24,
    "bedroom": 19,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T06:54:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T06:54:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T08:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T20:49:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T05:24:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-12T06:54:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-12T06:54:11] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-12T08:20:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-12T12:20:12] bedroom_window | WindowCovering.Curr

## 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 reports continuous 'Empty' state (0) during daylight hours despite significant activity in the home, suggesting a sensor failure or misconfiguration.",
      "supported_by": ["[2026-06-12T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The resident is currently absent from the living room while occupying other rooms (e.g., kitchen, bedroom), which is normal behavior for an elderly person moving between spaces.",
      "supported_by": ["room_activity.living_room: 24 vs room_activity.kitchen: 21"],
      "contradicted_by": ["suspicious_signals contains multiple timestamps showing occupancy=0 across all rooms simultaneously"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-12T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Raw timestamped logs for living_room_occupancy between 08:00 and 20:00 to confirm if it remains permanently at 0.",
    "Check if living_room_temperature_sensor data correlates with occupancy changes (e.g., does temperature stabilize when someone enters?).",
    "Verify battery voltage of the living_room_occupancy sensor."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-12T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2276
[2026-06-12T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-06-12T00:00:00] bathroom_occupancy | OccupancySensing.Occupa