温度传感器读数漂移（drift）

The living room occupancy sensor is functioning correctly; the house was unoccupied during the period of 'Occupancy = 0' readings and people entered later, triggering normal state changes.

Explanation: The raw log shows a continuous period from 00:00 to 13:55 where all sensors (including living_room_occupancy) reported 0 or were not reporting movement events, consistent with an empty house.

Explanation: At 13:55:16, the living_room_occupancy sensor explicitly transitioned to Occupancy = 1, confirming it successfully detected entry after the front door was locked at 08:32.

Explanation: Other sensors also show valid transitions (e.g., bedroom at 12:20), indicating the system is generally healthy and not suffering from a global communication failure.

[2026-06-11T13:55:16] living_room_occupancy | OccupancySensing.Occupancy = 1

Continue standard monitoring; no intervention required.

Verify that the resident's schedule matches the log timestamps for future context validation.

## 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": 1859,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 22,
    "bedroom": 18,
    "bathroom": 11,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T07:01:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T07:01:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-11T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T20:43:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-11T05:25:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-11T07:01:07] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-11T07:01:17] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-11T08:32:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-11T12:20:07] 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Living room occupancy sensor is malfunctioning (False Negative or Stuck Low), failing to detect residents entering the room.",
      "supported_by": [
        "[2026-06-11T07:01:07] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-11T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-11T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Living room occupancy sensor is working normally; no one has entered the living room since the manual door lock event at 08:32.",
      "supported_by": [],
      "contradicted_by": [
        "[2026-06-11T08:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ]
    }
  ],
  "most_concerning_signals": [
    "Correlation between Manual Front Door Unlock events and persistent 'Occupancy = 0' readings in Living Room.",
    "Discrepancy between high overall salient event counts (60) and lack of reported movement in the living room after entry."
  ],
  "what_to_verify_in_raw_log": [
    "Search for any 'motion_detected' or 'occupancy_changed_to_1' events specifically within the 'living_room_occupancy' stream between 08:32 and the end of the log period.",
    "Check battery voltage or signal strength metrics for the 'living_room_occupancy_sensor' if available in extended logs.",
    "Verify if other rooms (kitchen, bedroom) show occupancy changes that might suggest a pattern of sensors being ignored vs. actual empty house."
  ],
  "provisional_risk": "medium"
}
```


温度传感器读数漂移（drift）

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

The living room occupancy sensor is functioning correctly; the apparent lack of updates between 00:30 and 14:06 is due to the absence of human activity in that room during those hours, not a sensor failure.

Explanation: The raw log shows consistent 'empty' (0) status for living_room_occupancy from 00:00 until 14:06:16.

Explanation: At 14:06:16, the sensor correctly detected occupancy change to 'occupied' (1), confirming the sensor is responsive to movement.

Explanation: Other sensors (bedroom, kitchen) also show similar patterns of long periods with no occupancy events followed by detection upon entry, indicating this behavior represents normal inactivity rather than sensor malfunction or disconnection.

Explanation: The earlier summary mention of '22 total room activities' likely referred to other rooms or specific event types not captured in the occupancy stream for the living room during the night.

[2026-06-16T14:06:16] living_room_occupancy | OccupancySensing.Occupancy = 1

Consistent 'OccupancySensing.Occupancy = 0' readings from T=00:30 to T=14:06:00

## 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": 1856,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 23,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T07:05:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T07:05:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T08:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T20:36:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T05:24:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-16T07:05:08] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-16T07:05:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-16T08:27:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-16T12:29:12] 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": "normal",
      "description": "Living room occupancy sensor is functioning correctly, reporting consistent 'empty' states.",
      "supported_by": [
        "[2026-06-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-16T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor data may be stale or disconnected due to lack of activity updates outside initialization/reset times.",
      "supported_by": [
        "Only two specific timestamps (00:00 and 00:30) show occupancy readings for living_room in the suspicious_signals list.",
        "No intermediate events between these times suggest the sensor failed to detect movement if any occurred, or it simply hasn't updated its status."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Absence of any living_room_occupancy event logs between T+00:30 and the end of the provided log snippet, despite 'living_room' having 22 total room activities in the summary."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps and values of all 'living_room_occupancy' events from 00:30 onwards.",
    "Correlation with 'living_room_air_conditioner' state changes (if AC is on, motion might be expected)."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-16T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2266
[2026-06-16T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-16T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-16T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-06-16T00:00:00] ba


温度传感器读数漂移（drift）

The living room occupancy sensor is functioning correctly; the previous absence of 'Occupancy=1' events during active hours was due to a lack of human presence in that specific room, not a sensor fault.

Explanation: Raw logs confirm the sensor is operational by showing periodic status reports (e.g., Occupancy=0 at 08:24:00 and 14:10:05).

Explanation: A positive detection event (Occupancy=1) is explicitly recorded for the living_room_occupancy sensor at 2026-06-26T14:10:15, proving the device can detect presence when present.

Explanation: The gap between 08:24 and 14:10 represents a period where residents were likely elsewhere in the house or absent from the living room entirely, consistent with the sensor reporting 'Empty'.

[2026-06-26T14:10:15] living_room_occupancy | OccupancySensing.Occupancy = 1

Continuous report of Occupancy=0 prior to 14:10 indicates no motion was detected, not a failure to report.

No action required; sensor logic is verified as normal.

Monitor for future occupancy patterns to understand household movement habits.

Lack of correlation between door access events (indicating presence) and positive occupancy sensor readings in the living room.

Raw IR/RFID data from the living_room_occupancy sensor between 08:24:00 and 20:36:16 to check for raw motion detection packets that might have been filtered out or failed to trigger an event.

Battery voltage levels of the living_room_occupancy sensor to rule out power failure causing silence.

Signal strength (RSSI) logs for the living_room_occupancy sensor during the suspected active window.

Cross-reference with bedroom_occupancy events (which show 0 at 00:00 and 00:30 but also lack positive events in this packet) to determine if this is a global system issue or isolated to the living room.

## 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": 1889,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 21,
    "bedroom": 20,
    "bathroom": 10,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:07:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:07:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T08:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T20:36:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T05:24:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-26T07:07:09] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T07:07:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-26T08:24:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T12:33:05] 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 (living_room_occupancy) exhibits a potential false negative or stuck-off state during the active period of the day, failing to detect human presence despite door lock operations suggesting residents are home.",
      "supported_by": [
        "[2026-06-26T08:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-26T07:07:09] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-26T20:36:16] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The living room occupancy sensor is functioning correctly by reporting 'Empty' (0) when no activity signals were generated for that specific room in the provided salient event list.",
      "supported_by": [
        "room_activity: { ... 'living_room': 21 } indicates some events exist, but none explicitly listed as occupancy triggers in suspicious_signals other than the initial reset.",
        "Absence of explicit 'Occupancy = 1' events in the suspicious_signals list for living_room between 07:00 and 20:36."
      ],
      "contradicted_by": [
        "Multiple manual and auto lock operations suggest the household is occupied, yet no corresponding occupancy detection event is recorded for the living room during these times."
      ]
    }
  ],
  "most_concerning_signals": [
    "Gap between Manual Lock Unlock (08:24:00) and next Auto Lock Lock (20:36:16) showing continuous Occupancy=0 for living_room without any positive occupancy detection events in the log.",
    "Lack of correlation between door access events (indicating presence) and positive occupan


状态 vs 实际位置不一致

The living room window motor received a close command but failed to execute fully, stalling at the 50% position with an error status code persisting for over two hours.

Explanation: A 'DownOrClose' command was sent to living_room_window at 19:38:00.

Explanation: Immediately after (19:38:01), the sensor reported OperationalStatus = 0b000010, indicating a fault condition (likely motor stall or communication loss).

Explanation: Despite repeated checks at 19:38:30 and 19:39:00, the position remained fixed at 5000 (half-closed) and the error code persisted, confirming the actuator is stuck and not responding to commands.

[2026-06-06T19:38:00] living_room_window | Command: DownOrClose

Manually inspect the physical living room window mechanism to see if it can be closed by hand.

Reset the smart home hub or power cycle the window motor controller to clear the error state.

Schedule maintenance to replace or repair the window motor unit if manual operation fails.

## 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": 1857,
  "salient_event_count": 60,
  "focus_event_count": 97,
  "room_activity": {
    "kitchen": 22,
    "living_room": 27,
    "bedroom": 17,
    "bathroom": 9,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T06:53:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-06T06:53:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-06T20:45:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T05:25:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T06:53:02] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-06T06:53:08] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T08:36:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-06T12:35:12] bedroom_window | WindowCovering.Curre

## 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 window covering (curtains) sensor is malfunctioning or reporting stale data, as it shows a fixed 'half-closed' state (50%) for over 24 hours without positional updates.",
      "supported_by": ["[2026-06-06T19:38:30] living_room_window | CurrentPositionLiftPercent100ths = 5000"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Living room occupancy sensor is functioning correctly by reporting consistent zero occupancy during the reported night period (00:00).",
      "supported_by": ["[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T19:38:01] living_room_window | OperationalStatus = 0b000010",
    "[2026-06-06T19:38:30] living_room_window | CurrentPositionLiftPercent100ths = 5000"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw MQTT/serial logs for `living_room_window` motor commands between 19:38 and the next day to see if actuation signals were sent but not acknowledged.",
    "Verify if `OperationalStatus = 0b000010` corresponds to a specific error code (e.g., 'Motor Stalled', 'Communication Loss') in the device manual."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-06T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2271
[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[2026-06-06T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-06T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0
[2026-06-06T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0
[2026-06-06T00:00:00] entrance_occupan


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

通知住户门锁可能卡住/故障，建议手动检查

The entrance occupancy sensor is functioning correctly, reporting zero occupancy during the verified empty state period and showing no contradictory signals of malfunction.

Explanation: Analysis of the raw log from 00:00:00 to 04:00:00 shows consistent 'Occupancy = 0' for all rooms including 'entrance_occupancy', confirming the system accurately detects an empty house.

Explanation: There are no timestamped entries for 'entrance_occupancy' state changes (to 1 or 0) in the provided excerpt that contradict the known door lock events or user activity times.

Explanation: The high activity count mentioned in Stage-1 likely refers to a different time window not covered by this specific midnight-to-morning log slice, so it does not indicate a current fault.

Explanation: The front door contact and lock states change logically upon door opening/closing events without triggering false occupancy alarms.

[2026-06-21T00:00:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T04:00:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

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

## Query
请检查以下设备状态历史，判断 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: 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": 1853,
  "salient_event_count": 60,
  "focus_event_count": 96,
  "room_activity": {
    "kitchen": 20,
    "living_room": 21,
    "bedroom": 20,
    "bathroom": 9,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T06:53:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-21T06:53:07] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-21T20:08:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-21T20:52:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T05:34:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-21T06:53:02] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-21T06:53:07] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-21T08:36:00] front_door_lock | DoorLock.Lo

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

## Query
请检查以下设备状态历史，判断 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 occupancy sensor is functioning normally, detecting human presence upon door entry/exit.",
      "supported_by": ["entrance room activity count of 26 indicates multiple detection events throughout the day"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential false positive or sensor malfunction in entrance occupancy detection due to lack of temporal correlation with specific door lock events (e.g., late night movement).",
      "supported_by": ["High entrance activity count (26) relative to other rooms, but no specific timestamped occupancy transition logs provided in suspicious_signals to confirm alignment with door operations"],
      "contradicted_by": ["General pattern of zero occupancy at midnight across all rooms suggests the system is active and reporting correctly for empty states"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-21T20:52:13] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T20:52:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of 'entrance_occupancy' state changes to verify if they align physically with the user's movement during the reported 26 activities.",
    "The sequence between the Auto-lock event at 20:52:13 and the Bedroom window opening event at 20:52:20 to determine if the 'entrance' sensor falsely triggered or missed a presence event during this rapid sequence."
  ],
  "provisional_risk": "low"
}
```

## Focused Raw Log
[2026-06-21T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2275
[2026-06-21T00:00:00] li


状态 vs 实际位置不一致

The bedroom window motor is stuck at 50% position and reporting an error status after receiving a close command.

Explanation: Command 'DownOrClose' was issued to the bedroom window at 17:16:00.

Explanation: Immediately after (17:16:01), the system reported an OperationalStatus error flag (0b000010).

Explanation: At 17:16:30, the current position was recorded as 5000 (50%), indicating the motor failed to complete the closing action and has become stuck in that intermediate state.

Explanation: The error status persisted through 17:17:00 without resolution.

[2026-06-26T17:16:00] bedroom_window | Command: DownOrClose

Manually operate the bedroom window cover to ensure ventilation or clear the path.

Inspect the curtain motor for mechanical obstructions or power supply issues.

Reset the smart home device controlling the window covering if manual clearing fails.

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

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

## Layout
Layout: 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": 1856,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 23,
    "living_room": 19,
    "bedroom": 22,
    "bathroom": 9,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T06:55:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T06:55:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T08:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T20:44:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T05:28:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-26T06:55:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T06:55:11] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-26T08:22:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T12:20:13] bedroom_window | WindowCovering.CurrentPo

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Bedroom window cover (curtain) motor is stuck or malfunctioning, failing to reach commanded positions.",
      "supported_by": [
        "[2026-06-26T17:16:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000 (Stuck at 50% while OperationalStatus indicates error)",
        "[2026-06-26T17:16:01] bedroom_window | OperationalStatus = 0b000010 (Error flag set)",
        "[2026-06-26T17:17:00] bedroom_window | OperationalStatus = 0b000010 (Error flag persists)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Bedroom occupancy sensor is functioning correctly by reporting zero occupancy during late night hours.",
      "supported_by": [
        "[2026-06-26T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T17:16:01] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T17:16:30] bedroom_window | OperationalStatus = 0b000010",
    "[2026-06-26T17:16:30] bedroom_window | CurrentPositionLiftPercent100ths = 5000"
  ],
  "what_to_verify_in_raw_log": [
    "Check for repeated 'Motor Stall' or 'Overcurrent' fault codes in the raw motor controller logs for bedroom_window around 17:16.",
    "Verify if a manual override command was sent to the curtain motor and if it acknowledged the failure.",
    "Inspect power supply voltage logs for the bedroom window covering device during the error window."
  ],
  "provisional_risk": "low"
}

## Focused Raw Log
[2026-06-26T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2274
[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0
[


温度传感器读数固定（stuck-at）

Day1 温度有正常的日间波动（上午偏低、中午偏高、晚间回落）
Day2 中午开始读数完全固定在 23.50°C
连续24小时+完全无变化，真实温度不可能如此稳定

标记传感器可能故障，建议住户检查/更换

Living room occupancy sensor is functioning correctly, consistently reporting 'empty' until a person actually entered the room at 14:05.

Explanation: Raw logs show living_room_occupancy transitioning from 0 to 1 only at 2026-06-28T14:05:13, which aligns with the timestamp of human activity in other rooms (bedroom window opening/closing).

Explanation: During the night and early morning hours (00:00 to 14:00), all occupancy sensors across all rooms reported '0', indicating no one was present, contradicting any hypothesis of hidden presence or sensor failure to detect absence.

Explanation: The temperature sensor in the living room shows gradual drift consistent with environmental changes and heating cycles, but remains within logical bounds for an empty room.

[2026-06-28T14:05:13] living_room_occupancy | OccupancySensing.Occupancy = 1

All living_room_occupancy readings prior to 14:05:13 are consistently 0

Motion sensor calibration settings and threshold values for living_room_occupancy to rule out sensitivity drift.

Cross-reference 'room_activity' calculation methodology to ensure it isn't counting network pings or unrelated system events as 'activity'.

## 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": 1864,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 22,
    "bedroom": 20,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T06:56:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-28T06:56:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-28T08:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-28T20:44:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-28T05:22:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-28T06:56:02] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-28T06:56:12] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-28T08:27:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-28T12:39:15] 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": "normal",
      "description": "Living room occupancy sensor is functioning normally, reporting consistent 'empty' states.",
      "supported_by": [
        "[2026-06-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-28T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Living room activity count (22) is unusually high compared to other rooms for an elderly person at night/early morning, suggesting potential misclassification or false positives from non-occupancy events (e.g., light switches, curtains).",
      "supported_by": [
        "room_activity.living_room: 22 vs bedroom: 20, bathroom: 10",
        "suspicious_signals contains multiple front_door_lock and bedroom_window events which may skew 'activity' metrics if not filtered by room."
      ],
      "contradicted_by": [
        "No specific 'living_room' device trigger logs are present in the suspicious_signals list; most signals relate to entrance/bedroom."
      ]
    }
  ],
  "most_concerning_signals": [
    "High relative activity count in living_room compared to low human-occupied areas like bathroom, without corresponding occupancy state changes indicating presence.",
    "Absence of any explicit living_room device interaction (light toggle, curtain move) in the provided suspicious_signals, making the activity count ambiguous."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped logs for 'living_room_light', 'living_room_curtain', and 'living_room_ac' to see if they triggered falsely during the reported activity window.",
    "Motion sensor calibration settings and threshold values for


通知住户该区域烟雾报警器失灵，建议立即更换，期间注意防火

The living room smoke alarm has confirmed a hardware fault at 17:35:00, rendering it non-functional and creating a fire safety risk.

Explanation: Raw log explicitly shows 'HardwareFaultAlert = True' and 'Event: HardwareFault()' for the living_room_smoke_alarm at 17:35:00.

Explanation: No subsequent recovery signals are present in the log after the fault event, indicating a persistent failure rather than a transient glitch.

Explanation: While other sensors show data drift (temperature) or saturation issues (bedroom window), the smoke alarm fault directly impacts life safety systems.

Manually inspect and test the living room smoke alarm immediately.

Replace the smoke alarm unit if physical inspection confirms internal damage or battery failure.

Ensure a temporary backup detection method is active until the device is repaired or replaced.

## 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": 1854,
  "salient_event_count": 60,
  "focus_event_count": 98,
  "room_activity": {
    "kitchen": 21,
    "living_room": 24,
    "bedroom": 19,
    "bathroom": 9,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T17:35:00] living_room_smoke_alarm | HardwareFaultAlert = True",
    "[2026-06-05T07:00:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:00:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T08:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T17:35:00] living_room_smoke_alarm | Event: HardwareFault()",
    "[2026-06-05T20:44:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T05:38:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-05T07:00:04] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T07:00:14] 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 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 smoke alarm has a hardware fault, rendering it non-functional.",
      "supported_by": [
        "[2026-06-05T17:35:00] living_room_smoke_alarm | HardwareFaultAlert = True",
        "[2026-06-05T17:35:00] living_room_smoke_alarm | Event: HardwareFault()"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Living room occupancy sensor is functioning normally (reporting expected empty state during low activity periods).",
      "supported_by": [
        "[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-05T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "HardwareFault on living_room_smoke_alarm at 17:35:00",
    "Repeated WindowCovering.CurrentPositionLiftPercent100ths = 10000 (likely sensor saturation or firmware bug) in bedroom_window"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw signal stream of living_room_smoke_alarm between 17:34:59 and 17:35:01 to confirm if the fault was transient or persistent.",
    "Verify the power supply status (voltage/current draw) for the living_room_smoke_alarm device.",
    "Review maintenance logs for any recent battery replacements or physical tampering with the smoke alarm."
  ],
  "provisional_risk": "high"
}

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


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

The kitchen occupancy sensor is malfunctioning, reporting 'empty' for over 8 hours despite clear evidence of human activity and appliance usage in that room.

Explanation: Raw log shows continuous temperature rise in the kitchen (2261 -> 2429) between 00:00 and 04:30, indicating a cooking event or active appliance usage requiring human presence.

Explanation: During this same period, the kitchen_occupancy sensor incorrectly reports Occupancy = 0 at every timestamp (00:00, 00:30, ..., 04:30).

Explanation: Contrast with other rooms: The entrance sensor correctly detects occupancy at 07:09 when the resident enters, proving the system's ability to detect presence works elsewhere; the sensor failure is isolated to the kitchen unit.

[2026-06-30T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2429

[2026-06-30T04:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0

Immediately replace or recalibrate the kitchen motion sensor.

Review historical logs for missed security alerts or automation triggers related to the kitchen during the reported outage.

Correlation between timestamps of other kitchen devices (e.g., cook_surface status changes, temperature spikes) and the occupancy sensor logs to verify if the sensor missed specific events.

Signal strength (RSSI) or battery voltage data associated with the kitchen motion sensor to rule out power-related false negatives.

## 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": 1853,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 23,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 11,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:09:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:09:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T20:43:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T05:28:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-30T07:09:06] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T07:09:09] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-30T08:38:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T12:25:20] 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 is non-functional or misconfigured, failing to detect the resident's presence despite activity in other rooms.",
      "supported_by": ["The evidence shows 23 distinct events in the kitchen, indicating physical activity occurred there. However, all recorded 'kitchen_occupancy' states show Occupancy = 0 at specific timestamps (00:00, 00:30), suggesting the sensor failed to register the user during their stay.", "The pattern of explicit zero-occupancy readings at fixed intervals suggests a potential sensor failure rather than random noise, especially given the high event count in that room."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Kitchen sensors are functioning correctly; the lack of occupancy signals is due to the resident not being present in the kitchen during the sampled time windows.",
      "supported_by": [],
      "contradicted_by": ["The 'room_activity' metric explicitly lists 23 events for the kitchen, which strongly implies human interaction or appliance usage. If the resident were absent as the sensor indicates, 'room_activity' would likely be near zero."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-30T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T00:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped raw telemetry from the kitchen_occupancy sensor to check for missing packets, constant low-value outputs, or hardware timeout errors.",
    "Correlation between timestamps of other kitchen devices (e.g., cook_surface status changes, temperature spikes) and the occupancy sensor logs to


温度传感器读数漂移（drift）

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

The living room occupancy sensor is non-functional or stuck in 'empty' state, failing to detect occupants despite confirmed human activity (lighting/window adjustments) and presence in other rooms.

Explanation: Raw logs show a significant gap from 04:30 to 13:59 where the living_room_occupancy sensor reports 0, yet activities like bedroom lights turning on, window opening, and kitchen occupancy events occur.

Explanation: At 13:59:11, the living_room_occupancy sensor finally reports 1, but this coincides with a delay after kitchen and entrance sensors already detected presence, suggesting the sensor was blind until a specific condition reset it.

Explanation: The temperature sensor readings are physically impossible (~2400 Kelvin), indicating a systemic data corruption or misconfiguration affecting sensor reporting, which likely correlates with the occupancy sensor failure mode.

Explanation: Contradiction exists between the 'Occupancy = 0' status for extended periods and the clear evidence of residents moving through the home (bedroom light at 05:25, window open/close cycles).

[2026-06-23T05:25:03] bedroom_light | OnOff.OnOff = True

[2026-06-23T13:59:11] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-23T00:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2269

Immediately replace or recalibrate the living_room_occupancy sensor.

Investigate the root cause of the extreme temperature sensor values (2269K+) as they suggest a broader firmware or calibration issue.

[2026-06-23T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-23T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Discrepancy between high Entrance/Living Room activity counts vs. persistent zero occupancy readings

Check raw packet headers for living_room_occupancy for any 'status_code', 'battery_level', or 'heartbeat' fields indicating a communication failure or low power state.

Cross-reference timestamps of 'front_door_lock' unlock operations with the nearest 'living_room_occupancy' events to see if a delay or missing packet occurred upon entry.

Verify if the 'room_activity' metric of 22 for living_room is derived from the occupancy sensor itself or inferred from other devices (e.g., lights turning on), which would explain the zero occupancy reading if the sensor is blind.

## 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": 1858,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 23,
    "living_room": 22,
    "bedroom": 18,
    "bathroom": 10,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-23T06:59:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T06:59:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-23T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T20:46:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-23T05:25:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-23T06:59:06] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-23T06:59:14] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-23T08:38:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-23T12:35:13] 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 is non-functional or permanently disabled, failing to report presence despite the resident's likely activity in other rooms.",
      "supported_by": ["living_room_occupancy reports 'Occupancy = 0' at multiple timestamps (00:00:00, 00:30:00) while bedroom and kitchen sensors are active and logging state changes; high correlation of activity between entrance (22 events) and living_room (22 events) suggests movement through these areas but no corresponding occupancy update in living_room."],
      "contradicted_by": ["No specific error code or 'sensor offline' flag is explicitly present in the provided suspicious_signals list for the living_room device."]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The living room is genuinely unoccupied during the logged intervals, and the sensor is functioning correctly.",
      "supported_by": ["Direct reading from living_room_occupancy shows Occupancy = 0."],
      "contradicted_by": ["Simultaneous activity logs show door locking/unlocking sequences and bedroom window adjustments, implying the household is awake and moving. If the resident entered via the front door (entrance activity) and moved towards the living room (common path), the lack of an occupancy trigger contradicts expected behavior for a functional motion sensor in an inhabited home."],
      "contradicted_by": ["The 'room_activity' count for living_room is identical to the entrance (22), suggesting a potential data aggregation issue where entrance events are being misattributed or the living room sensor isn't triggering its own event log despite physical presence."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-23T


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

通知住户门锁可能卡住/故障，建议手动检查

The entrance occupancy sensor is functioning correctly; the previously hypothesized anomaly was a false alarm caused by analyzing a log window (00:00-20:38) that excluded the actual event where the sensor did detect presence.

Explanation: Analysis of the raw log reveals a specific detection event at 12:46:03 ('entrance_occupancy | OccupancySensing.Occupancy = 1') which coincides with human activity in the vicinity (bedroom occupancy change at 12:29 and lock interaction at 12:46:05).

Explanation: The absence of 'Occupancy=1' events before this timestamp (e.g., during the 07:07 and 08:36 manual locking attempts) indicates that the resident may have remained outside the specific sensor's detection footprint or moved quickly through the zone without triggering a sustained reading, rather than the sensor being broken.

Explanation: Since the sensor successfully detected occupancy when activity occurred (12:46), it disproves the hypothesis of total malfunction or permanent blockage.

[2026-06-13T12:46:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Timestamped logs from entrance_occupancy_sensor specifically around 07:07, 08:36, 12:46, and 20:38 to check for transient Occupancy=1 spikes that might have been filtered out or missed by the summary view.

Signal strength or battery level reports for entrance_occupancy_sensor to rule out hardware failure due to low power.

Camera footage or radar logs (if available) for the entrance zone during these times to visually confirm human presence when the sensor reported 0.

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

## Query
请检查以下设备状态历史，判断 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: 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": 1854,
  "salient_event_count": 60,
  "focus_event_count": 97,
  "room_activity": {
    "kitchen": 21,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 9,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T07:07:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-13T07:07:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-13T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-13T12:46:15] front_door_lock | Event: DoorLockAlarm(AlarmCode=0)",
    "[2026-06-13T20:38:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-13T05:33:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-13T07:07:06] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-13T07:07:16] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-13T08:36:00] front_door_lock | DoorLock.Lo

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

## Query
请检查以下设备状态历史，判断 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 blocked, failing to detect the resident's presence despite multiple door lock interactions (locking/unlocking) occurring in the vicinity.",
      "supported_by": [
        "[2026-06-13T07:07:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-13T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-13T12:46:05] front_door_lock | LockState = 2",
        "[2026-06-13T20:38:14] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The entrance occupancy sensor is working correctly; the resident did not enter/leave the specific 'entrance' zone footprint during these specific timestamp windows, or the motion was below detection threshold.",
      "supported_by": [],
      "contradicted_by": [
        "Room activity count for 'entrance' is 26, yet only 9 total room activities are recorded across all rooms, suggesting high activity concentration elsewhere but potentially missing specific movement events if the sensor is blind."
      ]
    }
  ],
  "most_concerning_signals": [
    "Multiple manual and auto lock operations (07:07, 08:36, 12:46, 20:38) without corresponding 'OccupancySensing.Occupancy = 1' events immediately preceding or following them in the log stream provided.",
    "High frequency of door lock state changes (LockState 2 -> 1 -> 2) suggests active human interaction at the entrance, which should trigger the co-located occupancy sensor."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamped logs from entrance_occupanc


温度传感器读数固定（stuck-at）

标记传感器可能故障，建议住户检查/更换

The living room occupancy sensor is functioning correctly, consistently reporting 'empty' during the night and only detecting presence after the resident entered from outside in the afternoon.

Explanation: All raw logs show consistent Occupancy=0 readings for living_room_occupancy throughout the entire night (00:00 to 04:30), matching the expected state when residents are sleeping or absent.

Explanation: The sensor correctly transitioned to Occupancy=1 at 13:58:09, which logically follows the timestamp of the front door contact closing (13:58:07) and the entrance sensor detecting motion, confirming the sensor responds to user entry.

Explanation: Temperature data for the living room (2276 -> 2445) shows a realistic warming trend over time, further indicating the temperature sensor is active and not stuck or disconnected.

[2026-06-26T13:58:09] living_room_occupancy | OccupancySensing.Occupancy = 1

Verify if the 'living_room_temperature_sensor' has sent any telemetry packets; the empty 'temperature_patterns' list suggests potential connectivity issues or missing data points despite the query asking about general functionality.

Cross-reference the timestamp 07:08:08 (front door lock manual operation) with any motion detection in the entrance hallway or living room leading up to that event.

## 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": 22,
    "living_room": 21,
    "bedroom": 19,
    "bathroom": 11,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:08:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:08:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T20:45:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T05:21:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-26T07:08:08] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T07:08:14] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-26T08:38:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T12:35:12] 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": "normal",
      "description": "Living room occupancy sensor is functioning correctly, reporting expected empty state during early morning hours.",
      "supported_by": ["[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor malfunction or data reporting gap: Living room occupancy sensor reports '0' (empty) at 00:00 and 00:30, which may be inconsistent with typical wake-up patterns if other rooms show conflicting activity, though currently isolated data points suggest it might just be the time of day.",
      "supported_by": ["[2026-06-26T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-26T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "All rooms (living_room, bedroom, kitchen, bathroom, entrance) report Occupancy=0 simultaneously at 00:00 and 00:30. While plausible for a single person sleeping in bed, the lack of any 'Occupancy=1' event for the elderly resident's likely location (bedroom) between midnight and dawn warrants checking if the sensor failed to detect movement upon waking or if the user is indeed absent/sleeping elsewhere.",
    "No temperature pattern data available for living_room."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw events between 05:00 and 08:00 for any 'OccupancySensing.Occupancy = 1' transition in the living_room or bedroom to confirm the resident woke up or moved.",
    "Verify if the 'living_room_temperature_sensor' has sent any telemetry pa


FG-02-FP: 电暖器/取暖器正常使用

有人在房间且温度上升后趋于稳定（不是持续飙升），无烟雾报警触发

The sequence of events represents a standard automated evening departure routine confirmed by occupancy sensors and automatic locking protocols.

Explanation: Occupancy sensors in the bedroom registered '1' (occupied) immediately before the window closed at 22:46:23, confirming an authorized user was present.

Explanation: The front door lock operation explicitly reports 'OperationSource=Auto', indicating a scheduled smart-home routine rather than manual manipulation or forced entry.

Explanation: No intrusion attempts or unauthorized access signals were detected; the timeline shows consistent behavior with leaving the house for the night.

[2026-06-20T22:46:14] bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-20T22:46:28] front_door_lock | Event: LockOperation(..., OperationSource=Auto)

Continue monitoring standard daily routines.

Review motion sensor logs specifically between 22:40:00 and 22:50:00 to confirm no movement occurred in the bedroom prior to the window closing.

Check network logs for any unusual outbound connections or local control commands originating from unauthorized MAC addresses around 22:46.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1348,
  "salient_event_count": 60,
  "focus_event_count": 105,
  "room_activity": {
    "kitchen": 19,
    "living_room": 41,
    "bedroom": 24,
    "bathroom": 18,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T22:46:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-20T08:25:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-20T10:06:19] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-20T22:46:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-20T22:46:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-20T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T00:30:00] ba

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Routine evening departure and overnight absence with automated window closure.",
      "supported_by": ["front_door_lock LockOperation(LockOperationType=0, OperationSource=Auto) at 22:46:28", "DoorLock.LockState = 1 (locked) immediately after auto-lock", "WindowCovering.CurrentPositionLiftPercent100ths = 10000 (closed) for bedroom_window at 22:46:23"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential intrusion or forced entry attempt due to temporal proximity of door locking and window state change.",
      "supported_by": ["bedroom_window closed at 22:46:23", "front_door_lock locked at 22:46:28 (5 seconds later)", "suspicious_timing between closing a specific window and locking the main door"],
      "contradicted_by": ["OperationSource=Auto on the front door lock suggests standard smart-home routine rather than forced interaction", "All occupancy sensors reported '0' starting from 00:00:00, indicating no one was inside during the event window"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-20T22:46:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-20T22:46:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Check the command source ID for the bedroom_window closure; was it triggered by a user voice command, app action, or an unknown device?",
    "Verify if the living_room_window closure at 10:06:19 is part of the same automation sequence as the bedroom window closure.",
    "Review motion sensor logs specifically between 22:40:00 and 22:50:00 to confirm no movement occurred in the bedroom prior to the window closin


有人在卫生间正常使用中触发，且短时间内恢复为 false

The sequence of events indicates normal resident behavior: waking up, opening curtains to check the room, leaving for work/school, and returning at night to open curtains again.

Explanation: Occupancy sensors confirm the house was empty from 00:00 until 06:32, ruling out an intruder present during the night.

Explanation: At 06:32, occupancy appeared in the bedroom immediately followed by the light turning on and window covers opening (0 -> 10000), consistent with a resident waking up and preparing to leave.

Explanation: The evening event at 22:05 mirrors the morning one: lights turned on, window covers opened, then the front door unlocked automatically as the resident arrived home, confirming this is a routine daily pattern.

Explanation: No forced entry attempts, broken locks, or conflicting sensor data were found; all actions align with expected human activity.

[2026-06-17T06:32:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

Continue monitoring standard routines; no immediate action required.

Optional: Verify if the user intends to keep the 'Auto' unlock source enabled for evening arrivals.

Bedroom window covering position changed from fully closed (0) to fully open (10000) while the house was unoccupied based on sensor readings.

Temporal correlation between the window cover change and subsequent front door unlock events requires verification of source attribution.

Raw logs for 'bedroom_window' to determine if the motor received a direct user command via app/voice or an automated schedule trigger.

Raw logs for 'front_door_lock' at 22:05:34 to verify if the 'Auto' source corresponds to a geofence exit event or an internal automation rule triggered by the window state.

Check system configuration for any scheduled tasks running around 06:30 or 22:05 that control window coverings.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1130,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 20,
    "living_room": 35,
    "bedroom": 25,
    "bathroom": 17,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T07:39:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T07:39:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T22:05:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T06:32:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-17T07:39:16] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T07:39:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T18:07:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T22:05:25] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-17T22:05:34] front_door_lock | DoorLock.LockStat

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Routine household activity: Residents left the home in the morning and returned at night, performing standard locking/unlocking procedures.",
      "supported_by": [
        "[2026-06-17T07:39:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T07:39:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-17T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T22:05:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential intrusion attempt or unauthorized access involving window manipulation coinciding with door lock state changes.",
      "supported_by": [
        "[2026-06-17T06:32:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-17T22:05:25] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "The window covering change occurs after the morning departure (07:39) and before the evening return (18:07), suggesting it might be automated or pre-planned by residents rather than a real-time break-in.",
        "No occupancy signals in the living room, bedroom, or bathroom between 00:00 and 01:30 suggest no one was inside during these specific times to interact with the window manually if the house was empty."
      ]
    }
  ],
  "most_concerning_signals": [
    "Bedroom window covering position changed from fully closed (0) to fully open (10000) while the house was unoccupied based on


有人在卫生间正常使用中触发，且短时间内恢复为 false

An intruder entered the home, woke up a resident in the bedroom, attempted to open the window for escape or further access, and was subsequently detected by the door contact sensor triggering an automatic lock.

Explanation: Occupancy sensors confirm a person was present in the bedroom at 23:12:10, contradicting the earlier 'empty house' status seen from 00:00 to 08:30.

Explanation: At 23:12:12 (immediately after occupancy detection), the bedroom window was commanded to open to 100% (10000), suggesting an attempt to breach the room or facilitate escape.

Explanation: The front door contact sensor triggered at 23:12:18 (closed state change) followed immediately by an auto-lock event at 23:12:19, indicating the system reacted to someone entering/exiting the perimeter while the interior was compromised.

Explanation: The sequence of events (occupancy -> window actuation -> door interaction -> auto-lock) within seconds indicates a coordinated intrusion rather than a scheduled automation routine.

[2026-06-07T23:12:10] bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-07T23:12:18] front_door_contact | BooleanState.StateValue = True

Contact local law enforcement immediately to report a break-in.

Dispatch security personnel to verify the scene and ensure occupant safety.

Review video footage from all entry points and interior cameras for the timeframe between 23:12:00 and 23:15:00.

Inspect the command chain to see if the window covering actuation was a direct response to the door lock event or an independent schedule.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1346,
  "salient_event_count": 60,
  "focus_event_count": 105,
  "room_activity": {
    "kitchen": 19,
    "living_room": 39,
    "bedroom": 23,
    "bathroom": 21,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T23:12:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-07T08:40:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-07T10:12:12] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-07T23:12:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-07T23:12:19] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:30:00] ba

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Automated front door locking/unlocking sequence followed by a rapid window opening/closing cycle in the bedroom, suggesting potential unauthorized access or automated intrusion testing.",
      "supported_by": [
        "[2026-06-07T23:12:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-07T23:12:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled smart home automation routine executing at specific times (e.g., closing curtains/adjusting windows), with 'Auto' lock source indicating a programmed schedule rather than manual tampering.",
      "supported_by": [
        "LockOperationType=0, OperationSource=Auto",
        "Consistent timestamps for occupancy checks and window states"
      ],
      "contradicted_by": [
        "The extremely short time delta (7 seconds) between the front door auto-lock event and the bedroom window covering change is highly irregular for standard user routines."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-07T23:12:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-07T23:12:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw log for any motion sensor triggers in the entrance hallway or bedroom immediately preceding the 23:12:19 timestamp.",
    "Verify if the 'Auto' lock operation was triggered by a geofence exit event or a scheduled macro, and cross-reference with mobile device GPS logs if available.",
    "Inspect the command ch


有人在卫生间正常使用中触发，且短时间内恢复为 false

The sequence of events represents a normal morning routine where the resident wakes up, exits the house to go outside or start their day, and later returns, followed by an automated evening security protocol.

Explanation: Occupancy logs show the house was empty from midnight until 06:45, when the bedroom occupancy sensor triggered (value=1), indicating the resident woke up naturally.

Explanation: The door contact state change at 07:34:21 (False/Opened) immediately following the manual lock operation confirms the resident physically opened the door to exit, rather than being forced open by an intruder.

Explanation: The subsequent auto-unlock at 07:34:28 is consistent with a smart-home schedule designed to allow easy re-entry or accommodate pets/outside access once the resident has left, not a break-in attempt.

[2026-06-16T06:45:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-16T07:34:21] front_door_contact | BooleanState.StateValue = False

Discrepancy between high room activity counts during the day and continuous 'Occupancy = 0' readings from 00:00:00 onwards.

Rapid transition of front door lock state from Manual Lock to Auto Unlock within 9 seconds at 07:34:19/28, which could indicate a glitch, a smart-home automation conflict, or an attempted bypass if the system logic is flawed.

Window covering position change at 06:45:19 (fully closed) followed by door interaction at 07:34 suggests a routine, but the timing relative to the 'empty house' log block needs verification against actual wake-up time.

Check raw timestamps for the first occupancy sensor activation after 00:00:00 to determine exact resident return time.

Verify the definition of 'LockOperationType=0' and 'LockOperationType=1' to confirm if the Auto unlock at 07:34:28 is a scheduled event or an anomaly.

Cross-reference camera footage (if available) between 06:45:19 and 07:34:28 to see who operated the window covering and the door.

Inspect network traffic logs around 07:34 to rule out remote access attempts triggering the auto-unlock command.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1122,
  "salient_event_count": 60,
  "focus_event_count": 112,
  "room_activity": {
    "kitchen": 21,
    "living_room": 38,
    "bedroom": 23,
    "bathroom": 18,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T07:34:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T07:34:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T22:12:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-16T06:45:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-16T07:34:19] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-16T07:34:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-16T18:06:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-16T22:12:24] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-16T22:12:35] front_door_lock | DoorLock.LockStat

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Resident performs standard morning and evening security routines (locking/unlocking door) and adjusts window coverings at specific times.",
      "supported_by": [
        "[2026-06-16T07:34:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-16T07:34:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-16T22:12:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential break-in attempt or unauthorized access where the door was unlocked while the house appeared empty, followed by a rapid re-locking or state change inconsistent with typical user behavior patterns.",
      "supported_by": [
        "Room activity shows significant presence in living_room (38), kitchen (21), bedroom (23), bathroom (18) suggesting occupancy during the day.",
        "Occupancy sensors report 0 across all rooms starting at 00:00:00 and persisting through 01:30:00, indicating an empty house.",
        "The sequence at 07:34 involves manual lock followed immediately by auto unlock. If this occurred while no one was inside (based on occupancy logs from previous night), it is suspicious."
      ],
      "contradicted_by": [
        "Timestamps suggest the events occur at different times (morning vs night). The 07:34 events likely correspond to waking up or leaving, not breaking in during the empty period shown in logs.",
        "Door lock state changes are consistent with automated schedules (Auto source)."
      ]
    }
  ],
  "most_concerning_signals": [
    "Discrepancy betwee


只有1-2次错误（非连续多次），最终成功解锁且 UserIndex 是合法用户

The sequence of events indicates a user encountering a smart lock connectivity glitch (OperationSource=3) and successfully entering manually shortly after; no signs of forced entry, unauthorized access, or malicious intrusion are present.

Explanation: The 'OperationSource=3' error at 17:43 was immediately followed by a successful unlock with UserIndex=1 at 17:43:20, suggesting an authorized user facing a technical issue rather than an external attacker.

Explanation: A second manual unlock occurred at 18:06 by the same user (UserIndex=1), which is consistent with returning home late or re-entering, rather than multiple failed attempts typical of a breach.

Explanation: The bedroom window opening at 21:47 occurred while the house was occupied (occupancy sensors active) and resulted in an auto-lock cycle, indicating normal resident behavior rather than suspicious manipulation from the outside.

LockOperationError at 17:43:00 followed by LockOperation with UserIndex=1 at 17:43:20

Subsequent Manual LockOpen at 18:06:00 attributed to UserIndex=1

Bedroom occupancy sensor triggered at 06:17 prior to window state changes

Monitor the front door lock firmware for updates regarding 'OperationSource=3' errors.

Verify that the resident's mobile app connection to the hub is stable to prevent future lockout scenarios.

Immediate subsequent Manual LockOpen at 18:06:00 following an error

Rapid transition of bedroom window covering from closed to open within a short timeframe

Timestamps of camera feeds for entrance (living_room/entrance area) around 17:43 and 18:06 to verify if a person was present during the error/open sequence.

Audio logs from the entrance sensor or nearby cameras to detect forced entry sounds or voices during the error event.

Detailed firmware logs of the front_door_lock to determine the root cause of 'OperationSource=3' (e.g., battery failure, signal loss vs. hack attempt).

Actuator logs for the bedroom_window covering to check if the motor struggled or required multiple commands to move.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1128,
  "salient_event_count": 60,
  "focus_event_count": 110,
  "room_activity": {
    "kitchen": 21,
    "living_room": 34,
    "bedroom": 24,
    "bathroom": 16,
    "entrance": 15
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:19:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:19:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T17:43:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-25T17:43:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-25T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T21:47:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T06:17:17] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-25T07:19:13] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-25T07:19:16] front_door_lock | DoorLock.LockState = 1",

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt or forced entry followed by successful intrusion.",
      "supported_by": ["[2026-06-25T17:43:00] LockOperationError... OperationSource=3 (Unknown/External)", "[2026-06-25T18:06:00] LockOperation(LockOperationType=1)... Manual (Door opened manually after error)", "Sequence of Error -> Open suggests bypassing or physical tampering"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident returning home late in the evening, encountering a technical glitch with the smart lock app, then entering manually.",
      "supported_by": ["UserIndex=1 appears on the subsequent manual open (likely resident)", "Auto-lock events at 07:19 and 21:47 suggest standard routine before/after this incident", "No motion detected inside rooms immediately after 18:06 in the provided snippet (though data stops)"],
      "contradicted_by": ["The specific error code 'OperationSource=3' is non-standard compared to Auto/Manual sources seen elsewhere"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspicious activity involving window manipulation coinciding with door access attempts.",
      "supported_by": ["Bedroom window covering fully closed (0%) at 06:17 and fully open (10000%) at 21:47 - unusual rapid change pattern", "Temporal proximity between bedroom window state change and front door events"],
      "contradicted_by": ["No direct correlation established in raw timestamps between window actuation and door lock states without further log granularity"]
    }
  ],
  "most_concerning_signals": [
    "LockOperationError with OperationSource=3 at 17:43:00",
    "Immediate subsequent Manual LockOpen at 18:06:00 foll


只有1-2次错误（非连续多次），最终成功解锁且 UserIndex 是合法用户

A failed lock operation attempt at the front door during a confirmed unoccupied period was immediately followed by a successful unlock with resident credentials, indicating a likely forced entry attempt or credential compromise.

Explanation: Occupancy sensors (living_room, bedroom, bathroom) consistently reported '0' (empty) from 00:00 to 07:20, confirming the home was secure and unoccupied prior to the incident.

Explanation: At 07:23:00, a LockOperationError occurred on the front door; this error code typically signifies physical resistance (bumping/picking) or a failed electronic handshake, rather than a simple system glitch given the subsequent success.

Explanation: Exactly 20 seconds later, a successful LockOperation occurred with UserIndex=1 (resident), which suggests either an authorized user returning after a failed external attempt or an attacker successfully bypassing the initial failure using stolen/derived credentials.

[2026-06-02T07:23:00] front_door_lock | Event: LockOperationError(OperationError=1...)

[2026-06-02T07:23:20] front_door_lock | Event: LockOperation... UserIndex=1

Multiple occupancy sensors reporting '0' between 06:00 and 07:20

Immediately verify physical status of the front door (check for signs of forced entry or tampering).

Change all active authentication credentials for the smart lock system and associated mobile apps.

Contact local law enforcement to file a report regarding the suspicious access attempt.

Simultaneous occupancy reports showing empty rooms (living_room, bedroom, bathroom) around this timestamp.

No other suspicious signals correlate with the window event; it could simply be a scheduled routine or delayed automation trigger.

[2026-06-02T07:23:00] front_door_lock | Event: LockOperationError...

Check the raw serial data or command logs for the front_door_lock between 07:23:00 and 07:23:20 to determine if the 'LockOperationError' was a system fault, a power loss recovery, or a rejected physical manipulation attempt (e.g., bumping/picking).

Verify the definition of 'UserIndex=1' in the system configuration to confirm if it maps to the homeowner or a known service account.

Cross-reference the timestamp 06:17:09 with the smart plug or light logs for the bedroom to see if any lights or devices were active before the window covering moved.

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

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

## Evidence Packet
{
  "sq_type": "SQ2",
  "event_count": 1127,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 21,
    "living_room": 35,
    "bedroom": 23,
    "bathroom": 17,
    "entrance": 15
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:23:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-02T07:23:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-02T07:39:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:39:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T21:56:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T06:17:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-02T07:39:19] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T07:39:27] front_door_lock | DoorLock.LockState = 1",

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

## Query
以下是刚刚发生的事件。请判断这是否构成安全威胁，并说明理由。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry attempt at the front door, indicated by a lock operation error followed immediately by a successful unlock, occurring during a time when the home was likely unoccupied.",
      "supported_by": [
        "[2026-06-02T07:23:00] front_door_lock | Event: LockOperationError(OperationError=1, ...)",
        "[2026-06-02T07:23:20] front_door_lock | Event: LockOperation(LockOperationType=1, ...)",
        "Occupancy sensors in living_room, bedroom, and bathroom reported '0' (empty) between 00:00 and early morning hours."
      ],
      "contradicted_by": [
        "UserIndex=1 on the subsequent successful lock operation might suggest an authorized user if Index 1 is the primary resident, though the preceding error suggests a glitch or override."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily activity involving a malfunctioning lock sensor (false error) and subsequent manual/unassisted locking/unlocking cycles.",
      "supported_by": [
        "Multiple standard LockOperations occur later in the day (18:12, 21:56) with Auto/Manual sources and consistent state changes.",
        "Room activity counts show significant presence in kitchen and living room during the day."
      ],
      "contradicted_by": [
        "The specific sequence of Error -> Success within 20 seconds is statistically less common for simple glitches compared to interaction attempts."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible internal tampering or staging, suggested by the bedroom window covering being fully closed (0%) at 06:17 while the house appears empty, potentially hiding activity inside.",