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

No active anomaly detected; the door lock automation and curtain closure appear to be part of a pre-programmed 'Away' routine triggered by time or occupancy exit.

Explanation: The sequence at 23:03 (curtains closing -> front door contact opens -> auto-lock) is consistent with a standard 'Goodnight' or 'Away' automation script rather than a manual intrusion event.

Explanation: The log explicitly shows OperationSource=Auto for the lock, indicating it was not manually triggered by an intruder.

Explanation: Occupancy sensors show continuous presence in the bedroom until the moment of departure, supporting the theory that occupants are leaving normally rather than hiding or being forced out.

[2026-06-14T23:03:12] bedroom_occupancy | OccupancySensing.Occupancy = 1

Review smart home automation schedules to confirm the 'Evening/Away' routine parameters match user expectations.

Verify if the front door contact sensor state transition (True) correlates with the door opening physically before the auto-lock command.

Check if 'OperationSource=Auto' for the front door lock was triggered by a smart home automation rule based on time or another sensor state, or if it was manual.

Verify the timestamp accuracy and sequence between the curtain closing (23:03:16) and door locking (23:03:22). Were these events part of a scripted routine?

Cross-reference the rapid occupancy toggles in the living room/bedroom with motion camera footage or doorbell logs to distinguish between human movement and pet interference.

Determine the exact state of the main entrance contact sensor immediately before and after the 23:03:22 lock operation.

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 769,
  "salient_event_count": 60,
  "focus_event_count": 116,
  "room_activity": {
    "kitchen": 30,
    "bedroom": 29,
    "living_room": 50,
    "bathroom": 4,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T23:03:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T23:03:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-14T23:03:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-14T11:55:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T11:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T12:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T12:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T12:05:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T12:06:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T12:10:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-14T12:11:00] living_room_occupancy | Occupa

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous or near-simultaneous closure of the front door and full closing of bedroom curtains while occupants are detected in both living room and bedroom, suggesting a coordinated exit or hiding event.",
      "supported_by": ["[2026-06-14T23:03:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-14T23:03:22] front_door_lock | Event: LockOperation...", "[2026-06-14T23:03:22] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Rapid cycling of occupancy detection between bedroom and living room (every ~1 minute) suggests multiple people moving frequently or sensor instability during an active period.",
      "supported_by": ["Multiple entries showing rapid toggle of OccupancySensing.Occupancy = 1 in bedroom_occupancy and living_room_occupancy between 11:55 and 12:30"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Kitchen window opening shortly after bathroom vacancy, consistent with routine household activity like ventilating or accessing items outside.",
      "supported_by": ["[2026-06-14T12:23:58] bathroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-14T12:25:30] kitchen_window_contact | BooleanState.StateValue = False"],
      "contradicted_by": ["Timing is close to other suspicious movements"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T23:03:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-14T23:03:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T23:03:22] front_door_lock | Doo


活动从卧室开始（住户起床），路径合理（卧室→客厅→厨房→卧室），最终回到卧室

The smart lock system exhibits critical malfunction behavior by automatically unlocking the front door immediately after a manual lock event (morning) and at night without corresponding user presence or occupancy changes.

Explanation: Evidence shows a manual lock at 07:40:21 followed instantly by an 'Auto' unlock at 07:40:24, indicating a logic error or sensor glitch rather than intentional re-entry.

Explanation: At 21:55, the bedroom window opens while the house is unoccupied (occupancy sensors read 0), yet the front door subsequently auto-unlocks within seconds, creating a security gap without human intervention.

Explanation: No occupancy transitions or light activations precede these specific auto-unlock events, ruling out normal daily routines or authorized user returns.

[2026-06-17T07:40:21] LockOperation(LockOperationType=1, OperationSource=Manual) ... [2026-06-17T07:40:24] LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-17T21:55:31] WindowCovering.CurrentPositionLiftPercent100ths = 10000 ... [2026-06-17T21:55:36] LockOperation(LockOperationType=0, OperationSource=Auto)

Immediately review the lock controller's firmware logs to identify the source of the 'Auto' commands (e.g., corrupted script vs. hardware fault).

Temporarily disable automated door unlocking features until the root cause is resolved and physical security can be verified.

Room activity counts align with typical day/night cycles (Kitchen/Living Room high during day, Bedroom moderate).

The 'Auto' source unlocks at 07:40:24 (immediately after manual lock) and 21:55:36 (late night), which deviates from standard security protocols where doors remain locked until intentional re-entry.

front_door_lock Auto-unlock at 07:40:24 occurring within 3 seconds of a Manual Lock, suggesting a glitch or forced override.

front_door_lock Auto-unlock at 21:55:36 occurring late at night without subsequent occupancy confirmation.

bedroom_window_covering rapid toggling between closed (0) and open (100%) states around 06:24 and 21:55, potentially creating an escape route or privacy breach if coinciding with unlocked doors.

Check raw messages for the 'Auto' unlock sources (IP addresses, MAC addresses, or command origins) to distinguish between smart-home automation scripts vs. external relay commands.

Verify the state transition timeline of bedroom_occupancy_sensor specifically at 06:24 and 21:55 to see if someone entered before the window opened.

Review kitchen and living_room temperature patterns to detect if HVAC systems were adjusted concurrently with these anomalies, implying human intervention.

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 1290,
  "salient_event_count": 60,
  "focus_event_count": 112,
  "room_activity": {
    "kitchen": 21,
    "living_room": 36,
    "bedroom": 26,
    "bathroom": 17,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T07:40:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T07:40:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T21:55:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T06:24:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-17T07:40:21] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T07:40:24] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T18:27:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T21:55:31] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-17T21:55:36] front_door_lock | DoorLo

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Automated door unlocking events occur without corresponding entry/exit occupancy changes or user presence, suggesting potential unauthorized access or system malfunction.",
      "supported_by": [
        "[2026-06-17T07:40:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-17T21:55:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "No occupancy sensor triggers in living_room or entrance immediately following the auto-unlock events to confirm user arrival."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Bedroom window covering state changes (closing/opening) are temporally close to door lock operations but lack correlation with room occupancy or temperature shifts, indicating possible automated scheduling errors or tampering.",
      "supported_by": [
        "[2026-06-17T06:24:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-17T21:55:31] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "Occupancy sensors in bedroom show 0 at these specific times (e.g., 00:00 and 01:00 logs suggest empty house, though exact timestamps for 06:24 and 21:55 need cross-check)."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard daily routine where manual locking/unlocking occurs during morning departure and evening return, consistent with household schedules.",
      "supported_by": [
        "Manual lock/unlock sequence at 07:40 (Morning) and 18:27 (Evening).",
        "Room activity counts alig


开窗前住户先在同一房间活动并开灯，是主动行为

The sequence of events is consistent with a homeowner manually locking the door while still inside (or just entering), causing a brief sensor lag before the door fully sealed, followed by normal evening occupancy patterns.

Explanation: The front door was manually locked at 18:00:00, but the contact sensor reported OPEN until 18:00:02. This 2-second delay is physically plausible if the user locked the door from the inside or held it open briefly before releasing it to latch.

Explanation: Occupancy changed to '1' at 18:00:08 (6 seconds after lock command). If the user locked the door from the interior, they would naturally remain in the house; if they entered from outside, the short gap between the contact closing and occupancy detection accounts for walking time through the foyer/living room.

Explanation: Subsequent logs show typical residential behavior: lights turning on, temperature fluctuations due to HVAC operation, cooking activity starting at 19:37, and dishwasher use at 20:10. There are no signs of forced entry, panic button triggers, or erratic device movements.

Explanation: No motion sensors were triggered in the entrance hallway immediately after the lock event that would suggest an intruder bypassing the lock.

[2026-06-22T18:00:04] entrance_light | OnOff.OnOff = True

[2026-06-22T19:37:00] kitchen_cook_surface | OnOff.OnOff = False

Continue monitoring; no immediate intervention required.

Verify physical door closure mechanism if the 2-second sensor lag persists as a recurring pattern, though currently within normal mechanical tolerances.

[2026-06-22T18:00:00] front_door_lock | Event: LockOperation...

Door Contact Sensor reports OPEN (False) 2 seconds after Manual Lock operation

Occupancy changed to 1 almost immediately (6s) after the door was reported OPEN

Sequence implies person entered house while door was technically locked but physically open

Timestamp precision for 'front_door_contact' state change vs 'front_door_lock' operation

Motion sensor logs for entrance/hallway area between 18:00:00 and 18:00:10 to see who/what triggered motion

Camera footage (if available) or specific event ID for the occupant entering the living room at 18:00:08

Check if 'front_door_lock' LockState transitioned correctly after the manual lock command

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 349,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 41,
    "entrance": 4,
    "living_room": 64,
    "bathroom": 6,
    "bedroom": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T22:05:41] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T18:00:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T22:05:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T22:05:41] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-22T18:00:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-22T18:00:08] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T18:05:08] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T18:05:30] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-22T18:10:08] living

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'tailgating' incident: The front door was manually locked at 18:00, but the door contact sensor reported as OPEN (False) until a significant time gap later when it finally registered closed. Simultaneously, occupancy shifted from empty to occupied immediately after the manual lock.",
      "supported_by": [
        "[2026-06-22T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-22T18:00:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-22T18:00:08] living_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious sequence of events suggesting an intruder entered while the owner was inside (or vice versa), involving a delayed door closure and immediate window adjustment by a non-owner entity.",
      "supported_by": [
        "[2026-06-22T18:00:00] front_door_lock | DoorLock.LockState = 2 (Locked)",
        "[2026-06-22T18:00:02] front_door_contact | BooleanState.StateValue = False (Door Open)",
        "[2026-06-22T18:05:08] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-22T22:05:32] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window Covering Fully Closed)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "The delay between locking and contact closing is due to the door not being fully shut immediately after latching, and the occupancy pattern reflects normal evening routine (leaving bathroom, settling in living room).",
      "supported_by": [


只在儿童房一个房间内发生，kids_room_occupancy=1，有小孩在场

No anomalies detected; all sensor events and lock sequences align with normal residential occupancy patterns and automated security protocols.

Explanation: Occupancy sensors show a consistent pattern of the house being empty overnight (00:00-06:30) followed by human activity in the morning, confirming legitimate absence rather than intrusion.

Explanation: The front door sequence at 07:14 shows a manual unlock, immediate contact closure (door opening), subsequent contact re-closure (door closing), and auto-lock, which is the expected behavior for someone leaving the house.

Explanation: The evening event at 22:09 involves turning on a light, opening a window, and then an auto-lock with no preceding forced entry indicators or conflicting sensor states.

[2026-06-24T06:32:00] bedroom_occupancy | OccupancySensing.Occupancy = 1 (Starts home routine)

[2026-06-24T07:14:15] front_door_contact | BooleanState.StateValue = False (Door opened after manual unlock)

[2026-06-24T07:14:21] front_door_contact | BooleanState.StateValue = True (Door closed before auto-lock)

Multiple occupancy sensors reporting 0 from 00:00 to 01:30 across living_room, bedroom, and bathroom.

Low room activity count for the 24h period (only 12 entrance events).

Front door unlock/lock cycles suggest someone entered and exited around 07:14 and 22:09.

Front door lock sequence at 07:14: Manual Unlock followed immediately by Auto Lock within 9 seconds, with state changes occurring between events.

Bedroom window opened (100%) at 22:09, coinciding with the late-night front door unlock (22:09), potentially indicating someone left via the back route or accessed the bedroom while occupied.

Raw timestamp precision of the front_door_lock events to determine if the 'Auto' lock was a legitimate schedule or a forced closure after tampering.

Motion sensor logs in the hallway/entrance between 07:14 and 07:15 to confirm human presence during the lock cycle.

History of the bedroom_window actuation command source (manual vs. automated routine) to rule out external opening.

Full list of non-salient events to identify if there were other door/window interactions missed in the summary.

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 1120,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 22,
    "living_room": 35,
    "bedroom": 23,
    "bathroom": 19,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T07:14:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T07:14:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:09:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T06:32:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-24T07:14:13] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T07:14:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T18:18:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T22:09:33] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-24T22:09:40] front_door_lock | DoorLo

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or lock manipulation: Front door was manually unlocked at 07:14, but the sensor state changed to 'Unlocked' (1) before the manual operation event was fully logged or immediately after an auto-lock attempt, suggesting a possible bypass or timing discrepancy.",
      "supported_by": [
        "[2026-06-24T07:14:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-24T07:14:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-24T07:14:13] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-24T07:14:22] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "Standard user behavior involves unlocking then entering; however, the rapid transition and specific source flags warrant closer inspection."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening security protocol: Bedroom window is closed (position 0) in the morning and opened (position 10000) in the late evening, consistent with daily ventilation habits before bed.",
      "supported_by": [
        "[2026-06-24T06:32:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-24T22:09:33] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Prolonged total house vacancy detected overnight without any activity spikes, which may indicate the resident left early or the system failed to detect re-entry.",
      "supported_by": [
        "Multiple occupancy sensors repo


BA-05-FP: 邻居/亲友代为浇花/喂宠物

通过门锁合法进入（有效的临时 UserIndex），进出有完整的开锁+锁门记录

The sequence of events indicates a normal household routine where residents manually locked the door upon exiting while still inside to secure valuables or pets, then remained in the living room before vacating later; no signs of forced entry, tailgating, or system malfunction are present.

Explanation: Residents were confirmed present in the living room at 18:19, immediately after the manual lock event at 18:18, indicating they did not leave the house but secured it internally.

Explanation: The front door contact sensor reported 'open' (False) from 18:18:02 to approximately 18:26, which aligns perfectly with the time gap between the manual lock and the bedroom vacancy (18:26), suggesting the door was propped open by a resident inside rather than an intruder.

Explanation: Subsequent logs show standard evening activities including temperature stabilization, kitchen usage, and dishwasher operation without any alarm triggers or conflicting sensor data.

No immediate action required; continue monitoring normal routines.

Optional: Review homeowner settings if automatic door locking is preferred over manual locking during occupancy.

Logs from kitchen and bathroom sensors between 18:18 and 18:26 to determine if residents were cooking or using facilities before leaving.

History of the door_lock motor current or torque values between 18:18 and 18:26 to detect if the door was physically forced or held open by an external agent.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 347,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 39,
    "bedroom": 6,
    "living_room": 65,
    "bathroom": 6,
    "entrance": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T21:53:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T18:18:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T21:53:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-01T21:53:34] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-01T17:56:07] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-01T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-01T18:03:14] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-01T18:18:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-01T18:18:19] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-01T18:23:19] living_roo

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or door propping event: The front door was locked manually at 18:18, then immediately detected as open (contact=False), while the living room occupancy sensor reported presence. This contradicts standard exit behavior where the door would close and lock upon leaving.",
      "supported_by": ["[2026-06-01T18:18:02] front_door_contact | BooleanState.StateValue = False", "[2026-06-01T18:19:00+] living_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": ["No alarm triggers recorded in suspicious_signals", "Door re-locked automatically at 21:53 without manual intervention"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine with delayed departure: Residents were present in the living room, left around 18:26 (bedroom empty), and the system eventually locked the door automatically late at night (21:53).",
      "supported_by": ["[2026-06-01T18:26:07] bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-01T21:53:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": ["The gap between 18:18 lock and 18:26 bedroom vacancy suggests a long period of 'open door' status during occupancy, which is unusual for a standard exit"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-01T18:18:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-01T18:18:19] living_room_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of all state transitions for front_door_contact to confirm duration of open state relative to occupancy changes.",
    "Logs from kitchen and bathroom sensors between


开窗前住户先在同一房间活动并开灯，是主动行为

A manual door lock was engaged, immediately followed by a contact sensor reporting the door as open and subsequent indoor occupancy detection, indicating a forced entry or bypass.

Explanation: At 18:29:00, the front door was manually locked (LockOperation=Manual).

Explanation: Only 2 seconds later at 18:29:02, the door contact sensor reported 'False' (Open), contradicting the locked state.

Explanation: Occupancy sensors in the living room triggered at 18:29:20 (within 3 minutes of the breach) and remained active for hours, confirming presence inside after the door was secured.

Explanation: The sequence of Lock -> Immediate Open -> Occupancy is consistent with an intrusion event rather than normal user behavior.

Immediately dispatch security personnel to verify the premises status.

Preserve all log data and video footage from the 18:29 window for forensic analysis.

Alert the homeowner and initiate emergency protocols if unauthorized presence is confirmed.

Routine Evening Routine: User locked door upon leaving (manual lock), followed by automated window closing/locking sequence in the bedroom.

[2026-06-04T18:29:00] front_door_lock | LockOperation (Manual)

[2026-06-04T22:05:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Fully Closed/Locked?)

[2026-06-04T22:05:36] front_door_lock | LockOperation (Auto)

The intermediate door contact false event at 18:29:02 contradicts a simple 'leave and lock' sequence unless the user re-entered immediately after locking, which seems unlikely given the timeline.

Timestamps and duration of the front_door_contact 'False' state relative to the manual lock command.

Motion vector or specific path taken by the occupant in the living_room_occupancy log immediately following the door breach.

Status of the entrance hall light (onoff_light) and any camera snapshots if available during the 18:29:00 - 18:30:00 window.

Verification if the 18:29:02 door opening was caused by a mechanical failure of the lock vs. an intruder.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 404,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 34,
    "bathroom": 27,
    "living_room": 47,
    "bedroom": 6,
    "entrance": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T18:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T22:05:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T18:29:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T22:05:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-04T22:05:36] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-04T17:57:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-04T18:02:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T18:07:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T18:12:05] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-04T18:17:05] bathroom_occ

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry and subsequent indoor movement (Bypass Scenario): The front door was manually locked at 18:29, then detected open (contact=False) at 18:29:02. Approximately 3 minutes later, occupancy sensors in the living room and bedroom triggered, suggesting someone entered and moved around inside.",
      "supported_by": ["[2026-06-04T18:29:00] front_door_lock | LockOperation... Manual (Lock)", "[2026-06-04T18:29:02] front_door_contact | BooleanState.StateValue = False (Door Open)", "[2026-06-04T18:29:20] living_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-04T18:23:19] bedroom_occupancy | OccupancySensing.Occupancy = 0 -> Implies presence elsewhere before moving to living room"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent Bathroom Activity Pattern: High frequency of bathroom occupancy events starting at 18:02 with no corresponding water usage or light activation logs, potentially indicating a sensor fault or 'phantom' presence.",
      "supported_by": ["Multiple rapid toggles of bathroom_occupancy between 18:02 and 18:39 without associated appliance events (e.g., dishwasher, toilet flush not listed, though not all appliances are logged in this packet subset).", "Lack of 'water_leak_detector' or 'onoff_light' state changes correlated with these occupancy spikes."],
      "contradicted_by": ["bathroom_activity count is 27, which might imply actual usage if other unlisted events exist, but the suspicious_signals list only shows occupancy."]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine Evening Routine: User locked door upon leaving (manual lock), followed by au


An intruder gained access to the house via an open bedroom window and subsequently locked the front door from the inside, likely to prevent detection or facilitate escape.

Explanation: Occupancy sensors confirmed the house was empty for over 23 hours (00:00 to 23:15), indicating no legitimate residents were present.

Explanation: At 23:15:20, the bedroom window was abruptly opened to 100% while occupancy was still detected as '1' only at that exact moment, suggesting a recent entry rather than pre-existing occupancy.

Explanation: Immediately after opening the window (23:15:27-23:15:28), the front door contact triggered (opened) and then locked automatically. This sequence is counter-intuitive for a standard security routine (which would close windows first) and strongly suggests someone inside manipulated the devices to secure their own exit or hide evidence of entry.

Explanation: The system's 'Auto' lock source combined with the lack of human activity prior to the intrusion event indicates a compromised automation or remote control by an unauthorized actor.

[2026-06-07T00:00:00] ... OccupancySensing.Occupancy = 0 (Confirmed unoccupied state)

[2026-06-07T23:15:12] bedroom_occupancy | OccupancySensing.Occupancy = 1 (Late detection of presence)

[2026-06-07T23:15:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully opened)

[2026-06-07T23:15:27] front_door_contact | BooleanState.StateValue = True (Door opened)

[2026-06-07T23:15:28] front_door_lock | Event: LockOperation(... OperationSource=Auto) (Door locked immediately after opening)

Dispatch law enforcement immediately; there is an active breach.

Do not enter the property until authorities arrive.

Review video footage from exterior cameras covering the bedroom window area.

Check if the smart home hub was remotely accessed or hijacked around 23:15.

The specific sequence of opening the bedroom window fully at 23:15:20 followed immediately by locking the front door at 23:15:28 seems counter-intuitive for a standard 'secure up' routine which typically locks doors *before* closing windows or does not involve opening windows to full extent unless cleaning/ventilation was required (which doesn't align with subsequent empty state). Also, H1 suggests an intruder might be using the open window to gain entry or exit, but the log shows the house was empty *before* these events. If the user was inside until 23:15, why didn't they see the window close? If it's automated, why open then lock?

Wait, re-evaluating timeline: House empty from 00:00 onwards. Events happen at 23:15 (night before?). If the house was empty since midnight, and at 23:15 someone opened the window and locked the door, this implies the system thinks someone is inside or someone is manipulating devices.

Temporal proximity between 'Bedroom Window Opened to 100%' (23:15:20) and 'Front Door Locked' (23:15:28) while all occupancy sensors report '0' for hours prior.

Duration of confirmed unoccupancy (from 00:00 to next event) vs sudden device activity at 23:15.

Raw logs for 'bedroom_window' around 23:15:15-23:15:29 to check if the actuator command came from a user app, voice assistant, or unknown entity ID.

Raw logs for 'front_door_lock' to verify if the lock command was triggered by a motion sensor detection (ghost trigger?) or a schedule.

Historical occupancy data for the hour leading up to 23:15 to rule out false negatives in the occupancy sensors.

Check if 'window_covering' motor power consumption spike correlates with the position change to rule out battery drain/failure causing random reporting.

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 1347,
  "salient_event_count": 60,
  "focus_event_count": 102,
  "room_activity": {
    "kitchen": 18,
    "living_room": 38,
    "bedroom": 25,
    "bathroom": 18,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T23:15:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-07T08:34:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-07T10:03:21] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-07T23:15:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-07T23:15:28] 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",
    "[2026-06-07T0

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential break-in or unauthorized entry attempt involving window manipulation and door locking while the house is unoccupied.",
      "supported_by": [
        "[2026-06-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-07T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-07T00:30:00] ... (all rooms unoccupied)",
        "[2026-06-07T23:15:20] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully open)",
        "[2026-06-07T23:15:28] front_door_lock | DoorLock.LockState = 1 (Door locked shortly after window opened)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Automated home security routine where windows are closed/opened by automation rules and the door is locked via a smart schedule upon detecting no occupancy for a period.",
      "supported_by": [
        "Systematic time-stamped occupancy reports at 30-minute intervals suggesting automated polling rather than real-time detection of movement",
        "Front door lock operation source marked as 'Auto' in suspicious_signals"
      ],
      "contradicted_by": [
        "The specific sequence of opening the bedroom window fully at 23:15:20 followed immediately by locking the front door at 23:15:28 seems counter-intuitive for a standard 'secure up' routine which typically locks doors *before* closing windows or does not involve opening windows to full extent unless cleaning/ventilation was required (which doesn't align with subsequent empty state). Also, H1 suggests an intruder might be using the open window to gain entry or exit, but the log shows the house was empty *before* th


BA-05-FP: 邻居/亲友代为浇花/喂宠物

通过门锁合法进入（有效的临时 UserIndex），进出有完整的开锁+锁门记录

The immediate auto-lock at 07:35 is consistent with a smart lock system reacting to the door closing (contact sensor triggered), indicating normal user departure rather than an intrusion.

Explanation: Occupancy sensors in all rooms were empty from 06:00 until 06:36, confirming the home was unattended during the incident window.

Explanation: At 07:35:18, the front_door_contact sensor registered 'False' (open) immediately after the manual unlock, and returned to 'True' (closed) at 07:35:25.

Explanation: The auto-lock event occurred exactly when the door closed (07:35:26), which is standard behavior for smart locks configured to auto-lock upon closure, not an indicator of unauthorized entry since no occupancy was detected inside.

[2026-06-04T07:35:18] front_door_contact | BooleanState.StateValue = False

[2026-06-04T07:35:25] front_door_contact | BooleanState.StateValue = True

Review smart lock settings to ensure the auto-lock delay aligns with expected exit routines if further clarification is desired.

Monitor future logs for discrepancies between contact sensor state changes and lock operations.

Missing Occupancy Transition: No occupancy sensor triggers recorded between 07:35 and 09:33 indicating someone entering the premises via the front door.

Check motion sensor logs (<occupancy_sensor>) in living_room and entrance between 07:35:00 and 07:40:00 to see if anyone entered.

Verify the state of the front_door_contact_sensor during the 07:35 window to confirm the door actually opened/closed.

Check if any other devices (lights, smart plugs) were triggered between 07:35 and 09:33 that would indicate an intruder's presence.

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 1121,
  "salient_event_count": 60,
  "focus_event_count": 111,
  "room_activity": {
    "kitchen": 20,
    "living_room": 35,
    "bedroom": 23,
    "bathroom": 18,
    "entrance": 15
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T07:35:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T07:35:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T09:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-04T09:43:00] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=3, UserIndex=5)",
    "[2026-06-04T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T22:10:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-04T06:36:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-04T07:35:16] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-04T07:35:26] front_door_lock | DoorLo

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt or 'tailgating' scenario: Front door was unlocked manually at 07:35, then immediately re-locked automatically (Auto source) 10 seconds later without a corresponding exit event from inside the home.",
      "supported_by": [
        "[2026-06-04T07:35:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-04T07:35:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-04T07:35:16] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-04T07:35:26] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard daily routine involving waking up, opening curtains, and leaving for work/school, followed by normal evening return.",
      "supported_by": [
        "Morning sequence: Window covering opened at 06:36, followed by manual lock/unlock cycle typical of leaving the house.",
        "Evening sequence: Manual unlock at 18:08, Auto lock at 22:10 consistent with arrival and settling in.",
        "UserIndex=5 entries at 09:33 and 09:43 suggest authorized resident activity."
      ],
      "contradicted_by": [
        "The specific timing of the 07:35 Auto-lock immediately after a Manual unlock is atypical if the user is exiting; usually, a manual unlock is followed by a manual lock or an auto-lock delay longer than 10s unless triggered by motion sensors which might be inactive if no one is detected inside yet."
      ]
    }
  ],
  "most_concerning_signals": [
    "Immediate Auto-lock (10s post-Manual Unlock) at 07:35:26",
    "Missing Occupancy Transition: N


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

No anomaly detected; the provided raw log snippet (12:00–14:55) does not contain the critical security events (door lock state change or window cover movement at 22:15) required to validate the initial hypothesis.

Explanation: The Stage-1 analysis identified a potential intrusion based on events occurring at 22:15 (Auto-lock followed immediately by unlock and blinds closing).

Explanation: The focused raw log excerpt covers the time range from 12:00 to 14:55, which is entirely disjoint from the timestamp of the suspicious event (22:15).

Explanation: The raw log contains no evidence of door lock operations, window covering movements, or occupancy anomalies relevant to the specific threat scenario described in H1.

Explanation: Therefore, based strictly on the provided evidence packet, there is no support for an active anomaly in the observed timeframe.

Suspected anomaly timestamp: 2026-06-24T22:15:40

Absence of 'front_door_lock' or 'bedroom_window' entries in the raw log.

Review the full system logs specifically around the 22:15 UTC mark to investigate the reported auto-lock/unlock sequence and blind movement.

Verify if the 22:15 event was a sensor glitch or a real security breach once that specific time window is analyzed.

Bedroom blinds fully closing (100%) coinciding exactly with the front door lock state change.

The combination of 'Auto' source on the door lock without a corresponding motion trigger in the living room/entrance log snippet.

Check raw IoT messages for the front_door_lock at 22:15:40 to determine if the 'Auto' source is a valid automation rule execution or a spoofed signal.

Verify the timestamp precision of the bedroom_window cover motor vs. the door lock state change to confirm causality.

Cross-reference the 'Living_Room_occupancy' log at 22:15 to see if no one was present to trigger an automation routine.

Check historical logs for any previous occurrences of LockOperationType=0 to identify if this is a recurring bug or a new attack vector.

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 698,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 36,
    "bedroom": 36,
    "living_room": 42,
    "bathroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-24T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-24T22:15:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-24T18:19:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-24T22:15:33] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-24T22:15:40] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-24T11:59:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-24T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-24T12:04:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-24T12:09:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-24T12:14:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-24T12:17:32] bathroom_occupancy | OccupancySens

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'ghost' activity: The front door was manually locked at 18:19, but the system shows an automatic lock operation (Auto) at 22:15. Immediately following this auto-lock event (within 7 seconds), the bedroom window covering moved to 100% (fully closed) and the front door state changed from Locked (2) to Unlocked/Open (1). This sequence suggests either a sensor malfunction triggering a false security response, or a sophisticated intrusion where the door was re-locked/unlocked by an external force or compromised device.",
      "supported_by": ["[2026-06-24T22:15:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-24T22:15:33] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-24T22:15:40] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard occupant behavior with minor sensor noise: High frequency of occupancy toggling in the bedroom between 12:00 and 12:49 is consistent with a resident moving around, using the bathroom multiple times, or shifting positions near sensors. The lack of temperature patterns does not contradict this, as HVAC settings might be static.",
      "supported_by": ["Room activity counts show significant presence in Bedroom (36) and Living Room (42)", "Multiple consecutive occupancy events in bedroom and bathroom between 12:00-12:49"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous auto-lock command followed immediately by door unlocking (LockState 2 -> 1) within the same minute.",
    "Bedroom blinds fully closing (100%) coincidin


The door contact sensor is reporting an open state (False) immediately after a successful manual lock operation, indicating a sensor fault or wiring issue rather than a physical breach.

Explanation: Log confirms 'LockOperation' and 'DoorLock.LockState = 2' at 18:21:00, proving the mechanical latch engaged successfully.

Explanation: The subsequent 'front_door_contact = False' at 18:21:02 contradicts the locked mechanical state, identifying a discrepancy between actuator and sensor readings.

Explanation: Living room occupancy turning on at 18:21:10 is consistent with normal human movement (entering from outside to living room) within seconds of locking, not indicative of an intruder remaining behind a closed door.

Explanation: No other security events (window contacts, alarms) triggered during this sequence, supporting the conclusion of a localized sensor error.

Inspect front door contact sensor wiring for loose connections or interference.

Test sensor calibration by cycling the door open/closed while monitoring logs for consistency with lock state.

Motion vector data or specific zone IDs for the 'living_room_occupancy' event at 18:21:10 to confirm if it's the same entity entering or a new intruder.

Check 'door_lock' motor current logs at 18:21:00 to verify if the latch actually engaged mechanically despite the contact sensor reporting open.

Verify if the 18:21:02 contact reading is a known false positive due to sensor wiring or environmental interference.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## 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": "SQ3",
  "event_count": 351,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 39,
    "living_room": 65,
    "bedroom": 6,
    "bathroom": 6,
    "entrance": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T21:45:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:21:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T21:45:30] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-17T21:45:38] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:07:10] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:20:15] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:21:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-17T18:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T18:26:10] living_roo

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'tailgating' event. The front door lock was manually locked at 18:21, but the door contact remained open (False) for over 4 minutes until 18:25 (inferred gap), while living room occupancy spiked immediately after locking.",
      "supported_by": ["[2026-06-17T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1...)", "[2026-06-17T18:21:02] front_door_contact | BooleanState.StateValue = False", "[2026-06-17T18:21:10] living_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine involving occupants moving from entrance to living room and securing the home.",
      "supported_by": ["Multiple sequential occupancy changes in living_room and bedroom between 18:00-19:00", "Standard manual locking operation at 18:21"],
      "contradicted_by": ["Extended duration of door being unlocked/ajar post-locking command relative to typical human movement speed"]
    }
  ],
  "most_concerning_signals": [
    "Door contact state is False (open) approximately 2 seconds after a successful Manual Lock operation.",
    "Living room occupancy turns ON (1) within 8 seconds of the door being reported as open post-locking.",
    "Timestamps suggest a sequence: Person enters -> Door closes/latched manually -> Someone remains inside/detected behind door OR sensor lag -> Living room detected."
  ],
  "what_to_verify_in_raw_log": [
    "Raw millisecond-level timestamps for 'front_door_contact' state transitions immediately following the 18:21:00 lock event.",
    "Motion vector data or specific zone IDs for the 'living_room_occupancy' event at 18:21:10 to confir


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

The dual lock operations at 13:22 and 13:27 are consistent with a resident locking the door from inside (UserIndex 1) followed by a secondary confirmation or automated re-locking sequence (UserIndex 2), supported by continuous occupancy in the master bedroom and no corresponding door contact sensor triggers indicating physical entry.

Explanation: Raw logs confirm 'entrance_occupancy' was active ('1') immediately after both lock events (13:23, 13:28), indicating a person remained inside the house during the interactions.

Explanation: No 'front_door_contact' sensor events (StateValue=True/False toggles indicating open/close) were recorded between the two lock operations or around them, ruling out physical tailgating or unauthorized entry.

Explanation: The pattern of frequent entrance sensor triggers correlates with periodic motion detection near the door while someone remains stationary in the master bedroom, suggesting normal household movement rather than rapid shuffling or breach attempts.

[2026-06-26T13:23:19] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-26T13:28:19] entrance_occupancy | OccupancySensing.Occupancy = 1

Absence of front_door_contact sensor state changes during the 13:22-13:27 window

Continue monitoring standard operational logs.

Verify if UserIndex 2 corresponds to a known family member or authorized device profile in the access control system.

[2026-06-26T16:32:00] front_door_lock | DoorLock.LockState = 2

[2026-06-26T18:00:00] front_door_lock | DoorLock.LockState = 2

[2026-06-26T22:32:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Routine evening routine involving locking doors and closing curtains before nightfall.

[2026-06-26T22:32:26] front_door_lock | DoorLock.LockState = 1

None directly, but the tight coupling of window closing and final lock state change suggests automated or scripted behavior rather than manual inspection.

Dual UserIndex interaction on front door lock (UserIndex 1 then UserIndex 2) within a 5-minute window (13:22 - 13:27).

Frequent, short-duration occupancy triggers in the entrance hallway (12:03, 12:08, 12:13) indicating rapid shuffling or repeated attempts to pass through.

Final lock state change coinciding exactly with master bedroom curtain closure, potentially masking visual confirmation of interior status.

Raw timestamped data for 'front_door_contact_sensor' to verify if the door was physically opened between 13:22 and 13:27.

Raw timestamped data for 'entrance_occupancy' and 'living_room_occupancy' to correlate precise motion detection vs. sensor noise.

Device metadata for 'front_door_lock' to confirm if UserIndex 1 and UserIndex 2 correspond to known residents or unknown devices (e.g., phone vs. key fob).

Timestamps for 'master_bedroom_window' actuation to determine if it was a scheduled automation or manual trigger.

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1027,
  "salient_event_count": 60,
  "focus_event_count": 107,
  "room_activity": {
    "kitchen": 20,
    "master_bedroom": 24,
    "entrance": 31,
    "living_room": 24,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T13:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-26T13:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=2)",
    "[2026-06-26T16:32:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T22:32:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T16:32:00] front_

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'shoulder surfing' incident where an external actor (UserIndex 2) interacts with the smart lock immediately after a resident (UserIndex 1), followed by the resident leaving.",
      "supported_by": [
        "[2026-06-26T13:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
        "[2026-06-26T13:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=2)",
        "Sequence shows two distinct user indices interacting with the lock within 5 minutes, which is atypical for single-household activity."
      ],
      "contradicted_by": [
        "No immediate door open/close events recorded between these lock operations to confirm physical entry/exit.",
        "The second operation source is also '3', identical to the first, suggesting it might be the same device type or controller, though the UserIndex differs."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Discrepancy between occupancy patterns and expected household behavior; high frequency of short-duration occupancy spikes in the entrance suggests rapid movement or potential tailgating/breaching.",
      "supported_by": [
        "Entrance occupancy logs show frequent toggling: 12:03 (1), 12:08 (1), 12:13 (1) without corresponding continuous stay in living/master rooms during those exact intervals.",
        "Rapid sequence of Entrance -> Master Bedroom -> Entrance repeats."
      ],
      "contradicted_by": [
        "Master bedroom occupancy remains consistently '1' throughout the period, suggesting one person was stationary inside while others moved around the entrance."
      ]
    },


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

The sequence of events indicates a resident locking the door from the inside and subsequently exiting normally, followed by a secure re-entry later in the evening.

Explanation: At 18:25:00, the front door lock was manually operated while occupancy sensors confirmed presence inside (entrance_occupancy=1), consistent with a resident locking up before leaving.

Explanation: At 18:25:02, the door contact opened, immediately followed by entrance occupancy at 18:25:03, confirming the user exited and passed through the sensor as expected for a normal departure.

Explanation: Subsequent logs show continuous entrance occupancy until 21:59, when the door closed automatically and locked via Auto source, indicating a controlled return rather than an intrusion.

Door lock actuation logs to determine if the manual lock/unlock cycle was completed fully or if the door remained ajar.

Camera footage (if available) from the entrance/balcony to visually confirm who entered/exited at 18:25.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 490,
  "salient_event_count": 60,
  "focus_event_count": 110,
  "room_activity": {
    "kitchen": 27,
    "entrance": 31,
    "living_room": 40,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T21:59:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T18:25:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-29T21:59:29] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-29T17:55:18] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-29T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-29T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Premature exit and immediate re-entry sequence suggesting unauthorized access attempt or forced entry.",
      "supported_by": [
        "[2026-06-29T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T18:25:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-29T18:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident exiting the home to go out (e.g., for groceries or work) and returning shortly after.",
      "supported_by": [
        "[2026-06-29T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "[2026-06-29T18:25:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-29T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-29T18:25:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-29T18:25:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of motion sensor state changes in the hallway/entrance immediately preceding the door unlock.",
    "Audio logs from any nearby microphones around 18:24:00 - 18:26:00 to detect breaking noises or voices.",
    "Door lock actuation logs to determine if the manual lock/unlock cycle was completed fully or if


通过门锁合法进入（有 LockOperation 事件+有效 UserIndex），不是通过窗户

No anomaly detected; the sequence of events indicates residents arriving home after being away, confirmed by a manual lock operation immediately upon entry.

Explanation: Occupancy sensors show all rooms empty from 18:00 to 18:14, indicating no one was inside prior to the door opening at 18:15:02.

Explanation: A 'Manual' lock operation event occurred at 18:15:00 (3 seconds before the door opened), confirming an authorized user manually secured the door before entry rather than an unauthorized forced entry.

Explanation: The rapid movement (3 seconds) from door to living room is consistent with entering directly into the main living area or carrying items, and the immediate subsequent manual locking contradicts the hypothesis of an intruder who would likely not lock the door themselves or leave it unlocked until much later.

[2026-06-18T18:00:00] ...occupancy | OccupancySensing.Occupancy = 0 (All rooms empty before entry)

Review video footage if available to visually confirm the identity of the person entering at 18:15.

Verify system logs for any other missed manual lock events in the future to ensure the sensor array captures them correctly.

[2026-06-18T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-18T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-18T18:15:05] living_room_occupancy | OccupancySensing.Occupancy = 1 (Movement was very fast to living room, less typical for a calm entry unless carrying items or rushing)

Missing 'Manual' lock operation log at 18:15, only an 'Auto' lock at 22:44 is recorded, which might imply the door was left open or auto-locked without manual confirmation.

Time delta between Front Door Open (18:15:02) and Living Room Occupancy (18:15:05) is only 3 seconds, indicating rapid transit consistent with someone running in or forcing entry rather than a leisurely arrival.

The absence of a specific 'LockOperation' event log for the 18:15 entry, combined with the state change to 'False', suggests the door might have been unlocked manually or forced without triggering a standard lock/unlock protocol event.

Discrepancy between high activity in Entrance/LivingRoom/MasterBedroom vs low activity in Kitchen/Bathroom/SecondBedroom during the 18:00-18:15 window.

Timestamps of motion sensor triggers vs. door contact state changes to verify if motion was truly simultaneous with door opening.

Full raw events around 18:15:00-18:15:10 to check for missed 'LockUnlock' events or battery failures on the lock device.

Window covering motor logs for Master Bedroom between 18:00 and 18:15 to see if curtains were drawn/opened during this period (indicates occupant behavior).

Light switch states for Entrance and Living Room at 18:15:05 to confirm if lights turned on automatically or via manual switch.

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 551,
  "salient_event_count": 60,
  "focus_event_count": 100,
  "room_activity": {
    "kitchen": 21,
    "entrance": 23,
    "master_bedroom": 20,
    "living_room": 30,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T22:44:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T18:15:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T22:44:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-18T22:44:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-18T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-18T17:57:00] master_bedroom_occupancy | Occupa

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

## Query
以下是过去 6 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry event at 18:15, indicated by a rapid sequence of door opening, immediate occupancy in living areas, and subsequent locking.",
      "supported_by": [
        "[2026-06-18T18:15:02] front_door_contact | BooleanState.StateValue = False (Door opened)",
        "[2026-06-18T18:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (Immediate presence detected inside entrance)",
        "[2026-06-18T18:15:05] living_room_occupancy | OccupancySensing.Occupancy = 1 (Rapid movement to living area)",
        "[2026-06-18T22:44:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (Door locked later that night, potentially after the incident or during exit)"
      ],
      "contradicted_by": [
        "[2026-06-18T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T18:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T18:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents entering the home normally around 18:15 after being out earlier.",
      "supported_by": [
        "[2026-06-18T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (Person present in hall before entry)",
        "[2026-06-18T18:00:00] ...occupancy | OccupancySensing.Occupancy = 0 (All rooms empty between 18:00-18:15, suggesting residents were out)",
        "[2026-06-18T18:15:02] front_door_contact | BooleanState.StateValue = False (Door opened)",
        "[2026-06-18T18:15:03] entrance_occupancy | OccupancySensing.Occupancy = 1 (Occupant entered immediately)"
      ],
      "contradicted_b


Sequence of events indicates a resident manually opening curtains to check outside and subsequently triggering an automated door lock cycle, consistent with routine evening behavior.

Explanation: Occupancy sensors confirm the master bedroom was occupied at 22:13:14 immediately before the curtain event.

Explanation: The front door contact sensor opened (State=True) at 22:13:28, proving the door was physically unlocked/entered by an authorized person before being re-locked.

Explanation: The door lock operation source is 'Auto' but preceded by a physical contact change, suggesting a standard smart-lock exit-entry protocol rather than an unauthorized bypass or intrusion attempt.

Explanation: No forced entry indicators (e.g., rapid repeated attempts, alarm triggers, or motion in adjacent areas) are present in the logs.

[2026-06-01T22:13:14] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-01T22:13:28] front_door_contact | BooleanState.StateValue = True

Continue monitoring for any subsequent unusual activity.

No immediate intervention required; log entry marked as verified routine activity.

No corresponding motion sensor triggers in the master bedroom or entrance hall during the 22:13:19 - 22:13:29 window.

Sequence: Master Bedroom Curtains Fully Opened -> Front Door Unlocked (State 1->0 implied or just State 1 noted as unlocked contextually based on flow) -> No Motion Detected

Timing: Event occurred at 22:13, suggesting nighttime anomaly rather than routine daytime housekeeping.

Raw motor current/voltage logs for master_bedroom_window_covering at 22:13:19 to confirm physical actuation vs. command ghosting.

Contact sensor state history for master_bedroom_window (not just covering position) to see if the window was actually opened.

Audio logs from living_room/entrance/microphone near master bedroom between 22:10 and 22:20 to detect human presence or sounds of forced entry.

Access control logs for any keycard/app unlocks occurring exactly at 22:13:29.

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1032,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 21,
    "master_bedroom": 24,
    "entrance": 31,
    "living_room": 25,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T22:13:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T16:07:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T17:50:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T22:13:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-01T22:13:29]

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Possible unauthorized entry or intrusion attempt involving window manipulation followed by door locking.",
      "supported_by": [
        "[2026-06-01T22:13:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Curtains opened at 100% shortly before door activity)",
        "[2026-06-01T22:13:29] front_door_lock | DoorLock.LockState = 1 (Door unlocked immediately after curtain event)"
      ],
      "contradicted_by": [
        "[2026-06-01T11:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1 (Occupancy detected earlier in the day, but gap exists until 22:13)",
        "[2026-06-01T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) (Standard manual locking seen later)"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine where resident opens curtains to check outside/weather then locks the front door.",
      "supported_by": [
        "High correlation between window covering state change and subsequent door lock/unlock cycle.",
        "Single occurrence of this specific sequence within a 12-hour window."
      ],
      "contradicted_by": [
        "The timing (22:13) is late for typical daytime checks; usually residents leave or go to sleep rather than manipulate windows then unlock doors if they were inside."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential sensor synchronization failure or false positive triggering an alert chain.",
      "supported_by": [
        "Precise timestamp alignment (within 10 seconds) between window cover motor movement and door lock state change."
      ],
      "contradicted_by


The provided raw log excerpt covers a different time window (11:55-14:35) than the suspected anomaly event (21:51), and contains no data regarding door contact sensors or motion in internal rooms at the critical timestamp.

Explanation: The raw log provided only spans from 11:55 to 14:35 on 2026-06-05, whereas the suspicious 'Auto' unlock event occurred at 21:51.

Explanation: The log shows frequent entrance occupancy readings consistent with normal activity patterns described in Stage-1 Hypothesis H2, but lacks any door state changes or internal room sensor data for the late-night hour in question.

Explanation: Without evidence of an open door or motion inside the house at 21:51, the hypothesis of a security bypass remains unproven by this specific evidence packet.

Explanation: Temperature readings in the log are fluctuating but within plausible ranges for environmental sensors (likely representing scaled values or minor drift), showing no sign of fire risk or sensor malfunction affecting safety.

Time mismatch: Suspected event at 21:51 vs. Log range 11:55-14:35.

Missing critical data: No door contact or internal motion logs present for the 21:51 timeframe in the provided text.

Verify door contact sensor history specifically around 2026-06-05T21:51:00 to confirm if the physical door moved.

Check internal motion sensor logs for living_room, master_bedroom, and second_bedroom between 21:50 and 21:55.

[2026-06-05T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Door contact sensor state changes immediately before and after the 21:51:44 timestamp to confirm if the physical door moved.

Motion sensor data from all rooms (living_room, master_bedroom, second_bedroom, kitchen) specifically around 21:50:00 to 21:52:00 to detect unseen intruders.

Audio logs or camera snapshots if available for the exact minute of the auto-unlock event.

Smartphone/app log history to verify if the user manually triggered a remote unlock command.

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 903,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 33,
    "entrance": 32,
    "living_room": 38,
    "master_bedroom": 6,
    "second_bedroom": 6,
    "bathroom": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T21:51:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T18:04:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T21:51:44] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T11:55:19] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-05T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-05T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"

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

## Query
以下是过去 12 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspicious 'Auto' lock disengagement event occurring without a corresponding door opening or entry/exit movement sequence.",
      "supported_by": ["[2026-06-05T21:51:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-05T21:51:44] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "High frequency occupancy toggling at the entrance is consistent with a resident frequently entering/exiting the home (e.g., multiple trips for deliveries or errands).",
      "supported_by": ["Multiple entries showing OccupancySensing.Occupancy = 1 in entrance between 12:00 and 12:35", "Corresponding zero occupancy in other rooms during these peaks suggests localized activity"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential security bypass attempt where the system logs an automatic unlock while the house appears empty (all bedrooms/living room unoccupied) shortly after manual locking.",
      "supported_by": ["[2026-06-05T21:51:44] Auto unlock", "All internal room occupancy sensors show 0 at 21:51:44 (implied by lack of recent positive events in living/master/second bedroom compared to entrance activity earlier)", "Time gap of ~3.5 hours between manual lock (18:04) and auto unlock (21:51)"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-05T21:51:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T21:51:44] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Door contact sensor state changes


BA-02-FP: 住户周末改变习惯早起做饭

住户先从卧室起床再去厨房（正常路径），虽然时间段不同寻常但行为模式是住户自己

Evidence indicates a probable forced entry or unauthorized bypass at 07:25 AM where the door was manually unlocked while the house was vacant and immediately re-locked by an automated system.

Explanation: Occupancy sensors confirmed zero presence in all rooms from 00:00 to 07:25:13, establishing the house was empty prior to the event.

Explanation: At 07:25:13, occupancy at the entrance changed to '1' (likely triggered by the intruder opening the door), followed immediately by a manual unlock command at 07:25:23.

Explanation: The rapid sequence of Manual Unlock -> Door Contact False -> Auto Lock within 3 seconds suggests the system detected an intrusion attempt (contact breach) and executed its default security protocol rather than a user returning home.

[2026-06-01T07:25:13] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-01T07:25:25] front_door_contact | BooleanState.StateValue = False

Immediately review video footage from the front door camera for the time window 07:24:00 - 07:26:00.

Inspect the physical condition of the front door lock and frame for signs of forced entry or tampering.

Check with household members if anyone was scheduled to return early before 07:25 AM.

[2026-06-01T18:09:00] front_door_lock | DoorLock.LockState = 2

[2026-06-01T21:57:38] front_door_lock | DoorLock.LockState = 1

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspected unauthorized entry or bypass at 07:25 AM followed by immediate re-locking, as the front door was manually unlocked (or lock opened) and then automatically locked within 3 seconds, despite no occupancy change reported.",
      "supported_by": ["[2026-06-01T07:25:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T07:25:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-01T07:25:23] front_door_lock | DoorLock.LockState = 2", "[2026-06-01T07:25:26] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Total house absence indicated by zero occupancy in all rooms for over an hour starting at midnight, yet the front door underwent a specific Manual->Auto lock cycle shortly after.",
      "supported_by": ["[2026-06-01T00:00:00] ... OccupancySensing.Occupancy = 0" (all rooms), "[2026-06-01T00:30:00] ... OccupancySensing.Occupancy = 0" (all rooms)],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door manual unlock event immediately followed by auto-lock within 3 seconds while all sensors report empty house.",
    "Absence of any motion or light activity in living room, bedrooms, or bathroom between 00:00 and 07:25, yet a door interaction occurred."
  ],
  "what_to_verify_in_raw_log": [
    "Check if the 'Manual' source at 07:25:23 corresponds to an internal keypad press (resident returning early) vs external tampering.",
    "Verify if the 'Auto' lock at 07:25:26 triggered by the proximity sensor or schedule, not the user's action.",
    "Cross-reference with camera feeds (if available) or window/curtain status changes during the 00:00 - 07:30 window to confirm total vacancy.",
    "Check system logs for error codes regarding the lock mechanism failing to stay open or closing unexpectedly."
  ],
  "provisional_risk": "medium"
}

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1662,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 22,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 11,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T07:25:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T07:25:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T21:57:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T07:25:23] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T07:25:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-01T18:09:

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

## Query
以下是过去 24 小时的设备活动日志。请分析是否存在异常行为模式，并说明推理过程。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspected unauthorized entry or bypass at 07:25 AM followed by immediate re-locking, as the front door was manually unlocked (or lock opened) and then automatically locked within 3 seconds, despite no occupancy change reported.",
      "supported_by": ["[2026-06-01T07:25:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T07:25:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-01T07:25:23] front_door_lock | DoorLock.LockState = 2", "[2026-06-01T07:25:26] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Total house absence indicated by zero occupancy in all rooms for over an hour starting at midnight, yet the front door underwent a specific Manual->Auto lock cycle shortly after.",
      "supported_by": ["[2026-06-01T00:00:00] ... OccupancySensing.Occupancy = 0" (all rooms), "[2026-06-01T00:30:00] ... OccupancySensing.Occupancy = 0" (all rooms)],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door manual unlock event immediately followed by auto-lock within 3 seconds while all sensors report empty house.",
    "Absence of any motion or light activity in living room, bedrooms, or bathroom between 00:00 and 07:25, yet a door interaction occurred."
  ],
  "what_to_verify_in_raw_log": [
    "Check if the 'Manual' source at 07:25:23 corresponds to an internal keypad press (resident returning early) vs external tampering.",
    "Verify if the 'Auto' lock at 07:25:26 triggered by the proximity sensor or schedule, not the user's action.",
    "Cross-reference with camera feeds (if