触发安全警报，临时禁用 Keypad 输入，通知住户

Multiple failed unlock attempts from an unknown source (ID 3) triggered a door lock alarm, indicating either a forced entry attempt or hardware failure.

Explanation: Occupancy sensors confirm the home was empty and secured prior to the incident (06:34 bedroom occupied, 18:26 front door manually locked).

Explanation: Between 18:49:00 and 18:49:40, there were four rapid 'LockOperationError' events from source '3', immediately followed by a 'DoorLockAlarm'.

Explanation: No occupancy change or contact sensor breach was logged during the error window, suggesting the door remained closed but the locking mechanism was compromised or being probed aggressively.

Explanation: The sequence of errors followed by an active alarm state strongly indicates a security event rather than routine operation.

[2026-06-19T18:49:00] ... LockOperationError(OperationError=1, OperationSource=3)

Verify the physical status of the front door lock immediately.

Check battery levels on the smart lock and any associated key fobs/devices.

Review camera footage or motion logs for the entrance hallway between 18:47 and 18:55 to identify the source of the signal.

Contact local authorities if the property is currently inaccessible or if signs of tampering are found.

Potential unauthorized access between 18:26 and 18:49. The door was manually locked, then immediately subjected to multiple error attempts before triggering an alarm, with no subsequent successful unlock until 22:04.

Rapid succession of 4 'LockOperationError' events from source '3' within 40 seconds on 2026-06-19 at 18:49.

Immediate transition to 'DoorLockAlarm(AlarmCode=3)' following the error sequence.

High frequency of focus events (104) relative to salient events (60), suggesting a burst of activity around the anomaly window.

Timestamps and status codes of motion sensors in the entrance hallway and living room between 18:48 and 18:55 to confirm presence outside vs inside.

Camera footage (if available via smart plug/IP log) or specific sensor logs for the front door contact sensor to verify if the door was physically jiggled or breached during the error window.

History of 'OperationSource=3' to determine if this is a known resident's device (e.g., a guest phone or car key fob) or an unknown entity.

Battery voltage or power cycle logs for the front_door_lock to rule out a hardware failure causing false alarms.

## 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": 1122,
  "salient_event_count": 60,
  "focus_event_count": 104,
  "room_activity": {
    "kitchen": 17,
    "living_room": 33,
    "bedroom": 23,
    "bathroom": 14,
    "entrance": 17
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:25:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:25:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T18:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T18:49:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-19T18:49:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-19T18:49:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-19T18:49:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-19T18:49:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)",
    "[2026-06-19T22:04:45] front_door_lock | Event:

## 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 forced entry attempt or lock malfunction at 18:49, characterized by repeated failed unlock operations followed by an alarm state.",
      "supported_by": [
        "[2026-06-19T18:49:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-19T18:49:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-19T18:49:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-19T18:49:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-19T18:49:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard daily routine: Home secured in the morning (07:25) and unlocked/locked automatically in the evening (22:04).",
      "supported_by": [
        "[2026-06-19T07:25:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T07:25:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T22:04:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T06:34:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-19T22:04:42] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential unauthorized access between 18:26 and 18:49. The door was manually locked, then immedi


伪装开锁（被盗/复制凭证）

合法凭证开锁，但进入后的行为模式与住户不符 不开灯（住户通常到家后开灯） 进入后的移动路径和设备操作模式与住户日常习惯不一致 本场景的难点：单看门锁事件是合法的，需要结合行为模式判断

中等可信度警报，建议住户确认是否本人操作

The system logs indicate a normal automated security routine where the home was empty, the front door was locked automatically by the system (UserIndex=1/Auto), and occupancy sensors correctly reported zero occupants throughout the period.

Explanation: Occupancy sensors consistently reported '0' for all rooms from 00:00 until 00:52, confirming the home was empty during the lock event.

Explanation: The log at 00:52:03 shows `front_door_contact` state changed to False (closed/locked) immediately following the lock operation, with no prior indication of forced entry or contact breach.

Explanation: The timestamp 08:32:02 shows bedroom lights turned on, followed by window opening and another automatic lock cycle at 22:59, demonstrating consistent, expected user/system behavior patterns rather than intrusion attempts.

Explanation: The initial hypothesis of H1 is contradicted by the absence of any door contact breach events or sensor glitches; the 'UserIndex=1' likely refers to the resident's account triggering an auto-lock feature.

[2026-06-06T00:52:00] front_door_lock | Event: LockOperation... UserIndex=1

[2026-06-06T00:52:03] front_door_contact | StateValue = False

[2026-06-06T00:52:05] living_room_occupancy | Occupancy = 1 (likely transient noise or misinterpretation of the light event later, but contextually the house remained effectively empty or the sensor recovered instantly)

Consistent pattern of Auto-locking at 22:59 after occupant departure (bedroom occupancy 1 -> 0 transition).

No immediate action required; this appears to be normal system operation.

Optional: Verify if 'UserIndex=1' mapping corresponds to the homeowner's profile in the admin panel to confirm identity.

All rooms report Occupancy = 0 exactly at T00:00:00

Room activity counts are low (Salient=60), suggesting quiet periods.

Specific lock operation at 00:52:00 with external source code while specific room sensors still show 0 occupancy immediately after the lock event contextually implies an intrusion scenario rather than just a system dump.

Front door lock operation at 00:52:00 with OperationSource=8 and UserIndex=1 (likely an external unlock/lock cycle by someone other than the resident system) occurring while all internal occupancy sensors report empty.

Sudden spike in 'salient_event_count' (60) relative to total events (1348) with a high focus_event_count (106), indicating the algorithm flagged this period as highly significant/anomalous.

Raw state history of `front_door_contact` around 00:52:00 to confirm if the door was physically opened before locking.

Timestamps of `UserIndex=1` movements or biometric matches leading up to the lock event to verify identity.

State changes of `bedroom_window` and `living_room_window` between 00:51:00 and 00:53:00 to see if they changed during the lock event (the log shows them changing at 22:59, which needs clarification if that's a typo or a separate event).

History of `water_leak_detector` and `smoke_co_alarm` states to rule out environmental triggers causing automated responses.

## 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": 1348,
  "salient_event_count": 60,
  "focus_event_count": 106,
  "room_activity": {
    "kitchen": 19,
    "living_room": 42,
    "bedroom": 23,
    "bathroom": 17,
    "entrance": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T00:52:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
    "[2026-06-06T22:59:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T08:32:05] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T10:12:18] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T22:59:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-06T22:59:19] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T00:30:00] living_room_occupancy | OccupancyS

## 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": "Unauthorized or unexpected entry event: Front door locked from outside (Source=8, UserIndex=1) while the home was reported empty.",
      "supported_by": [
        "[2026-06-06T00:52:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
        "Multiple occupancy sensors (living_room, bedroom, bathroom) reporting Occupancy = 0 at T00:52:00"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent window state transition: Bedroom windows were closed (0%) early morning but opened fully (10000%) just before the door lock event, potentially indicating a breach attempt or sensor glitch.",
      "supported_by": [
        "[2026-06-06T00:52:05] living_room_occupancy | Occupancy = 1",
        "[2026-06-06T22:59:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "Note: The timestamp for window opening (22:59) is actually *after* the lock event in the log list, but logically checks if the sequence implies a pattern. However, looking strictly at the provided list, the window opens at 22:59:15, and the door locks at 00:52:00 next day. This contradicts a direct causal link unless H1 is false.",
        "Re-evaluating H2 based on strict timestamps: Window opens at 22:59, Door locks at 00:52. No direct contradiction yet, but the presence of 'UserIndex=1' on the lock is suspicious if no one was home."
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Scheduled system reset or daily report generation causing bulk zero-occupancy readings at midnight.",
      "supported_by": [
        "All rooms report Occu


1分钟内多次灯光开关 可能原因：智能家居系统被入侵/远程控制；设备自动化规则冲突；或电路问题 也可能是恐慌信号（住户通过反复开关灯试图引起注意）

通知住户检查是否有人误操作或系统异常

The observed sequence of events corresponds to standard resident routines: morning departure and evening return, supported by occupancy sensor data.

Explanation: Occupancy sensors confirm the bedroom was occupied (06:22-07:19) before the front door unlock, and became unoccupied shortly after, consistent with a resident leaving for work/school.

Explanation: The 'Auto' lock operations occurred immediately after door contacts opened/closed, indicating standard smart-home geofencing or exit-delay automation rather than unauthorized forced locking.

Explanation: Window covering changes correlate directly with light state changes in the bedroom (lights on at 06:22, off at 07:19; lights on at 21:57), confirming human presence and routine window management.

Explanation: No conflicting signals (e.g., simultaneous occupancy in other rooms during transit, rapid re-entry loops) were found to suggest intrusion.

[2026-06-19T06:22:00] bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-19T07:19:08] bedroom_light | OnOff.OnOff = False

[2026-06-19T07:19:23] front_door_lock | OperationSource=Auto

Continue monitoring baseline behavior; no immediate intervention required.

Verify if users wish to adjust auto-lock delay timers if the current 11-second threshold feels too aggressive.

Window coverings align with typical day/night cycles (closed morning for privacy/security, opened evening for light/ventilation if no one is home, or vice versa depending on preference).

The extremely tight timing (11 seconds between manual unlock and auto lock at 07:19) suggests either a rapid manual re-locking by an intruder or a specific 'quick exit' protocol not clearly documented.

The lack of any motion detection in the bedroom when window coverings changed state (07:19 close, 21:57 open) makes a standard resident presence less likely unless the resident moved rooms instantly.

Simultaneous temporal proximity of Front Door Manual Unlock/Unlock sequence and Bedroom Window Covering movement without Occupancy Sensor triggers.

Absence of Occupancy data ('Occupancy = 0') in all monitored rooms during the specific timestamps of door/window state changes, creating a blind spot regarding human presence.

Check raw MQTT/Kafka messages for the exact timestamp precision of the 07:19:12 door unlock vs 07:19:23 auto lock to determine if they are causally linked or separate events.

Verify if the 'Auto' lock operation at 07:19:23 and 21:57:34 was triggered by a geofence exit event or a timer, or if it was a forced lock command from an external controller.

Cross-reference the bedroom window covering motor logs to see if the closure/opening commands were issued remotely (via app/script) or locally (by physical switch/motor interference).

Review historical logs for previous days to establish baseline behavior for the 'Manual' vs 'Auto' lock sequence patterns.

## 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": 1131,
  "salient_event_count": 60,
  "focus_event_count": 113,
  "room_activity": {
    "kitchen": 22,
    "living_room": 37,
    "bedroom": 23,
    "bathroom": 19,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:19:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:19:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T21:57:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T06:22:17] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-19T07:19:12] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T07:19:23] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-19T18:06:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T21:57:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-19T21:57:34] 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": "Unauthorized or simulated entry simulation: The front door was manually unlocked (07:19) and locked automatically shortly after (07:19), followed by a manual unlock in the evening (18:06) and automatic lock later (21:57). Crucially, bedroom window coverings changed state (closed at 07:19, open at 21:57) within minutes of these door operations without corresponding motion events in the bedroom.",
      "supported_by": [
        "[2026-06-19T07:19:12] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T07:19:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T21:57:23] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-19T21:57:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "No occupancy events recorded in living_room, bedroom, or bathroom during the transition periods (07:19 and 21:57)."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine automated security cycling combined with user-initiated morning/evening routines. The 'Auto' source on locks indicates smart-home automation triggering based on time or sensor inputs, while manual operations correspond to residents leaving/entering. Window adjustments are part of a daily routine.",
      "supported_by": [
        "Consistent pattern of Manual Unlock -> Auto Lock (suggests system default behavior upon exit).",
        "Window coverings align with typical day/night cycles (closed morning for privacy/security, opened evening for light/ventilation if no one is home, or vice versa


凌晨2:30-2:40短时间内多房间连续活动 活动轨迹：客厅→厨房→玄关（像在搜索什么） 卧室全程无活动（住户在睡觉），这些活动不是住户产生的 注意区分：如果卧室先有活动再到其他房间，则可能是住户起夜

The system detected occupancy in the bedroom at 22:54 while windows were opened and the front door was locked shortly after, indicating a potential false positive or unattended presence that triggered an automated departure sequence without human confirmation.

Explanation: Occupancy sensors registered active presence in the bedroom at 22:54:12, contradicting the assumption that the house was empty prior to the 'departure' sequence.

Explanation: Despite the sensor detecting occupants, the window covering opened (100%) and the front door lock engaged automatically within one minute, suggesting the system incorrectly interpreted the scene as an exit event.

Explanation: This discrepancy between confirmed occupancy and immediate lockdown/window opening suggests either a sensor malfunction causing a phantom presence or a logic failure where the system prioritized the exit routine over the occupancy state.

[2026-06-14T22:54:12] bedroom_occupancy | OccupancySensing.Occupancy = 1

Verify if anyone was actually present in the bedroom at 22:54 via video footage or user logs.

If the area was empty, investigate the cause of the false occupancy detection (sensor drift, pet interference, or calibration error).

Review smart home automation rules to ensure occupancy status is weighted higher than inferred exit patterns during late-night hours.

Verify if the 'WindowCovering' event source is 'Manual', 'Auto', or 'Voice'.

Check the door lock operation source for the event at 22:54:28 (is it 'Auto', 'App', or 'Physical Key?').

Review thermostat/AC logs around 22:54 to see if HVAC was active, indicating 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": 1353,
  "salient_event_count": 60,
  "focus_event_count": 105,
  "room_activity": {
    "kitchen": 19,
    "living_room": 40,
    "bedroom": 24,
    "bathroom": 19,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T22:54:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T08:34:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T09:46:15] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T22:54:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-14T22:54:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T0

## 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": "Unattended departure: The household appears to have left the premises while the system was in an occupied state or during a transition period, indicated by simultaneous window opening and door locking without prior occupancy detection changes.",
      "supported_by": [
        "[2026-06-14T08:34:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-14T09:46:15] living_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-14T22:54:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-14T22:54:28] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance or automated routine causing false positives for 'unattended' behavior (e.g., smart blinds closing/opening on schedule, auto-lock enabled).",
      "supported_by": [],
      "contradicted_by": [
        "The sequence of events shows windows being fully closed at 08:34 and 09:46 (likely morning routines), but then explicitly opened at 22:54:18 exactly one minute before the door locks at 22:54:28. This specific timing suggests manual intervention rather than a standard scheduled routine which usually aligns with wake/sleep cycles."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T22:54:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-14T22:54:28] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the occupancy sensors registered any movement in the bedroom or living room immediately after 22:54:18.",
    "Verify if the 'W


住户外出期间（门锁显示已锁+无人在家）窗户被打开
随后出现多房间运动信号
入侵者未使用门锁（无 LockOperation 事件）

触发入侵警报，通知住户，建议报警

No anomaly detected; the sequence of events represents normal evening routines and automated security protocols.

Explanation: The kitchen window opening at 12:27 occurred during active daytime occupancy (cooking surface used until 12:27, residents present), consistent with normal ventilation or access, not a break-in attempt.

Explanation: The bedroom curtains were opened at 23:02 as part of an automated 'goodnight' routine that simultaneously locked the front door and turned off the light, indicated by the `OperationSource=Auto` event.

Explanation: Door contact sensor triggered to True immediately before the lock operation, confirming the resident was inside and the system is functioning correctly without signs of forced entry or bypass.

[2026-06-06T12:27:00] kitchen_cook_surface | OnOff.OnOff = False

Timestamps for all 'window_covering' operations on the bedroom window to determine if the 23:02 action was manual or automated.

Timestamps for all 'front_door_lock' operations prior to 23:02 to check if the door was unlocked earlier today.

Status of the 'kitchen_window_contact' immediately before and after 12:27:30 to confirm duration of openness.

Any motion sensor triggers in the entrance hallway or outside the front door between 12:27 and 23:02.

## 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": 775,
  "salient_event_count": 60,
  "focus_event_count": 116,
  "room_activity": {
    "kitchen": 30,
    "living_room": 50,
    "bedroom": 29,
    "bathroom": 4,
    "entrance": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T23:02:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T23:02:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-06T23:02:27] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T11:56:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T11:56:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T12:01:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T12:01:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T12:06:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T12:06:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T12:11:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-06T12:11:00] bedroom_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": "Unauthorized entry attempt or break-in scenario: The front door was automatically locked at 23:02, yet the kitchen window was open (contact sensor tripped to False) shortly after at 12:27. Additionally, the bedroom curtains were fully opened at 23:02, which is unusual for a late-night lock-up and could indicate an attempt to create visibility or signal presence.",
      "supported_by": ["[2026-06-06T23:02:27] front_door_lock | DoorLock.LockState = 1", "[2026-06-06T12:27:30] kitchen_window_contact | BooleanState.StateValue = False", "[2026-06-06T23:02:18] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity with automated routines: Residents are active in both living room and bedroom between 11:56 and 12:31, consistent with waking up or moving around a studio apartment. The bathroom occupancy drop at 12:12 suggests someone finished using it.",
      "supported_by": ["Room activity distribution shows significant activity in living_room (50), kitchen (30), and bedroom (29)", "Synchronized occupancy changes in living_room and bedroom between 11:56 and 12:31 suggest shared space usage"],
      "contradicted_by": ["The specific timing of the kitchen window opening (12:27) vs. door locking (23:02) creates a temporal disconnect if interpreted as a single event sequence without further context."],
      "note": "While H2 explains the bulk of occupancy data, it fails to explain the security-relevant state changes (open window + late night lock)."
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T12:27:30] kitchen_window_contact | BooleanState.StateV


深夜窗户传感器从 Closed 变 Open
随后该房间运动传感器触发，但住户在卧室睡觉
运动信号沿非住户房间传播

触发入侵警报，通知住户，记录事件

The front door contact sensor reported an 'Open' state immediately after a manual lock operation, contradicting the physical state change and subsequent occupancy events which indicate normal resident activity.

Explanation: At 18:22:00, a manual lock command was executed successfully (LockState=2).

Explanation: Two seconds later (18:22:02), the contact sensor falsely reported 'Open' (False), creating a logical contradiction for a locked entry door.

Explanation: Subsequent logs show lights turning on and occupancy sensors detecting presence in the living room at 18:22:21 and 18:22:28, confirming the user is inside and the door remains closed physically.

Explanation: The discrepancy between the actuator success and the immediate sensor false positive indicates a hardware glitch or calibration error in the contact sensor, not an intrusion attempt.

Calibrate or replace the front door magnetic contact sensor.

Verify sensor alignment with the door frame to ensure consistent closing detection.

Verify if there were any access code entries, keycard swipes, or remote unlock events logged exactly at 18:22:00 prior to the manual lock command.

Correlate the 'Auto' lock event at 22:05 with any scheduled automation rules or motion triggers in the entrance hall.

## 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": 342,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 36,
    "living_room": 68,
    "entrance": 4,
    "bathroom": 6,
    "bedroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T22:05:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T18:22:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T22:05:29] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-30T22:05:32] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-30T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T18:22:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-30T18:22:21] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-30T18:22:28] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T18:22:39] bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T18:27:21] 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": "Unauthorized entry sequence: The front door was manually locked at 18:22, but the door contact sensor immediately reported 'Open' (False) at 18:22:02. Five minutes later, an 'Auto' lock operation occurred without a corresponding manual trigger or occupancy event in the living room to suggest normal routine.",
      "supported_by": ["[2026-06-30T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-30T18:22:02] front_door_contact | BooleanState.StateValue = False", "[2026-06-30T22:05:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident left the home around 18:22 and returned around 18:47/19:02, as indicated by the transition from 'Occupancy=0' in all rooms to 'Occupancy=1' in the living room.",
      "supported_by": ["[2026-06-30T18:22:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-30T18:22:21] living_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-30T18:47:21] living_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": ["[2026-06-30T18:22:02] front_door_contact | BooleanState.StateValue = False"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-30T18:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T18:22:02] front_door_contact | BooleanState.StateValue = False"
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw GPIO/magnetic switch logs for the front_door_contact between 18:22:00 and 18:22:10 to determine if the sensor physically tripped or if it is a false positive.",


触发入侵警报，通知住户，建议报警

No confirmed anomaly detected; the provided raw log covers daytime hours (11:55–14:48) and shows normal occupancy patterns, while the suspicious lock/unlock events occur outside the visibility window of this specific evidence packet.

Explanation: The focused raw log contains only timestamps from 11:55 to 14:48, which does not include the critical security events (Front Door Lock at 18:21 or Auto-Unlock at 22:04).

Explanation: The data within the visible timeframe shows consistent bathroom occupancy and intermittent living room activity typical of normal daytime resident behavior.

Explanation: Without the evening logs or system rule definitions regarding geofences/night routines, it is impossible to confirm if the 22:04 auto-unlock was an intrusion or a legitimate automated return trigger.

Time range mismatch: Raw log ends at 14:48, missing all events after 14:48 including the suspicious 22:04 unlock.

Normal occupancy pattern: Bathroom sensors show frequent usage between 12:00 and 14:48 consistent with daily routine.

Request the full 12-hour log segment specifically covering 17:00 to 23:00 to analyze the lock state transition.

Verify smart home automation rules for 'Auto Unlock' conditions (e.g., Geofence entry) around 22:04.

The coincidence of the front door auto-unlock happening exactly when the bedroom curtains are fully raised (100%) is statistically unlikely for independent normal events without a direct correlation rule defined.

Absence of any kitchen or living room activity logs between 18:21 and 22:04 despite the door being involved in events.

Simultaneous timestamp proximity between Bedroom Window Covering raising (22:04:26) and Front Door Auto-Unlock (22:04:37).

Sudden drop in overall room activity counts after 18:21 compared to earlier periods.

Door lock state transition from Locked (2) to Unlocked (1) via 'Auto' source without explicit user login/logout evidence.

Check if the 'Auto' unlock operation at 22:04:37 was triggered by a geofence exit/entry rule or if it was a fallback mechanism due to sensor failure.

Verify if the bedroom window covering command at 22:04:26 was part of a pre-programmed 'Goodnight' routine or a voice command.

Cross-reference battery levels or signal strength for the front door lock and bedroom window covering actuators around 22:04 to rule out communication latency causing misaligned timestamps.

Review the full 12-hour log for any motion sensor triggers in the hallway or entrance area between 18:21 and 22:04.

## 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": 724,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 34,
    "bathroom": 35,
    "living_room": 46,
    "bedroom": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T22:04:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-30T18:21:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-30T22:04:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-30T22:04:37] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-30T11:58:08] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-30T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-30T12:03:08] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-30T12:08:08] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-30T12:13:08] bathroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-30T12:18:08] bathroom_occupancy | Occupancy

## 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 'tailgating' event: The front door was manually locked at 18:21, then automatically unlocked at 22:04. However, the timeline shows significant bathroom activity immediately preceding the auto-unlock (12:00-12:46), creating a disjointed narrative where the home was occupied during the day but the lock state change sequence suggests a possible intrusion attempt or system glitch.",
      "supported_by": [
        "[2026-06-30T18:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-30T22:04:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-30T22:04:26] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "High occupancy frequency in bathroom between 12:00 and 12:46 suggests legitimate residents were present during daylight hours.",
        "No reported motion sensors triggered in living room or kitchen during the suspicious window (18:21-22:04) to corroborate an intruder."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine resident behavior with automated lighting/curtain adjustments upon departure or return.",
      "supported_by": [
        "Regular pattern of bathroom occupancy throughout the day.",
        "Front door manual lock at 18:21 could be evening departure.",
        "Auto-unlock at 22:04 could be return home trigger."
      ],
      "contradicted_by": [
        "The coincidence of the front door auto-unlock happening exactly when the bedroom curtains are fully raised (100%) is statistically unlikely for independent normal events without a dir


触发入侵警报，通知住户，记录事件

The sequence of events indicates a standard home occupancy cycle where the resident entered, occupied the home for several hours, and then exited with the system correctly auto-locking the door upon detection of an open state.

Explanation: At 18:14, the front door was manually unlocked and opened (contact=False), followed by immediate occupancy signals in the living room and bedroom, confirming legitimate entry.

Explanation: Occupancy sensors consistently reported presence ('Occupancy = 1') in the living room and bedroom from 18:14 until 22:07, indicating continuous habitation and refuting theories of prolonged vacancy or unauthorized re-entry.

Explanation: The automatic lock event at 22:07 occurred exactly after the door contact sensor registered as OPEN (True) at 22:07:42, demonstrating that the 'Auto' logic functioned as intended by securing the door when it was detected to be ajar, rather than triggering falsely on an already-closed door.

[2026-06-17T22:07:42] front_door_contact | BooleanState.StateValue = True

No action required; the system behavior is consistent with normal operation.

Optional: Review geofence settings if future analysis shows discrepancies between expected exit times and actual auto-lock triggers.

The gap between the initial manual unlock/entry (18:14) and the automatic lock (22:07) spans 4 hours; if this is a standard occupancy cycle, why did the system not trigger an alarm for prolonged vacancy followed by re-entry, or simply wait for the user to manually lock?

Check the `front_door_contact` state history between 22:07:30 and 22:07:50 to confirm if the door was physically detected as OPEN or CLOSED when the 'Auto' lock command was issued.

Verify the `operation_source` logic for the 22:07 lock event: Was it triggered by a geofence exit? A specific timer? Or a motion detection fallback that might have been triggered by the intruder themselves?

Review `bedroom_occupancy` logs around 22:07 to see if someone left the bedroom immediately before the curtains closed and the door locked.

## 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": 389,
  "salient_event_count": 60,
  "focus_event_count": 117,
  "room_activity": {
    "kitchen": 30,
    "bedroom": 28,
    "living_room": 47,
    "bathroom": 5,
    "entrance": 7
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T22:07:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:14:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T22:07:35] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-17T22:07:43] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T17:58:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:03:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T18:08:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T18:09:42] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:13:00] bedroom_occupan

## 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: Door unlocked manually at 18:14, door opened, occupant entered living room and bedroom, but the front door was locked automatically (via Auto source) at 22:07 without a preceding manual lock operation or clear exit sequence.",
      "supported_by": [
        "[2026-06-17T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T18:14:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-17T18:14:23] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T22:07:43] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-17T22:07:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious window closure pattern: Bedroom curtains were fully closed (100%) exactly 8 minutes before the automatic locking of the front door, which may indicate an attempt to hide activity or seal the room prior to departure/locking.",
      "supported_by": [
        "[2026-06-17T22:07:35] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-17T22:07:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door locked via 'Auto' source at 22:07:43 with no corresponding manual lock event in the immediate vicinity, suggesting either a sensor glitch triggering auto-lock on an open/unattended door or an intruder closing the door from the outside/inside after entering.


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

可能原因：(1) 客厅运动传感器故障 (2) 有人故意躲避传感器 (3) 数据异常

标记为异常事件，建议检查客厅传感器或确认是否有人

Evidence suggests a potential intrusion or tailgating event where an unauthorized actor may have entered the home around 22:18, triggered the door to close and lock automatically, while simultaneously closing bedroom blinds.

Explanation: Occupancy sensor at master_bedroom shows presence (Occupancy=1) at 22:18:19, indicating someone was inside the secure area immediately before the suspicious events.

Explanation: The front_door_contact sensor changed from False (open/ajar) to True (closed) at 22:18:29, immediately preceding an 'Auto' lock operation at 22:18:30, suggesting the door was opened from the outside or swung shut unexpectedly.

Explanation: The temporal correlation between the window blind fully closing (22:18:26) and the door locking sequence is highly irregular for standard automation and aligns with a pattern of concealing activity or securing a breach.

[2026-06-12T22:18:19] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-12T22:18:29] front_door_contact | BooleanState.StateValue = True

Immediately review video footage from the front door camera and interior hallway cameras covering the period between 22:18:15 and 22:20:00.

Check if the master bedroom occupants are safe and account for their location after 22:18.

Inspect the front door mechanism for signs of forced entry or tampering.

[2026-06-12T22:18:30] front_door_lock | DoorLock.LockState = 1

[2026-06-12T11:56:28] entrance_occupancy | OccupancySensing.Occupancy = 1

Front door lock state transitions: Manual locks at 16:06 and 18:11, then an 'Auto' unlock/lock cycle at 22:18. The 'Auto' source without a preceding motion trigger in the visible log is suspicious.

Discrepancy between Occupancy Sensor data (showing activity until 12:18) and the later security events (16:06 onwards), implying the system might be reacting to events occurring while sensors report 'empty' or there are unlogged re-entries.

Check the raw GPIO/I2C logs for the front_door_lock around 22:18:25-22:18:35 to determine if the 'Auto' operation was a sensor-triggered response (e.g., door opened/closed rapidly) or a direct controller command.

Verify the geofence configuration and GPS history for user devices around 22:18 to see if the 'Auto' lock was triggered by a user leaving the perimeter.

Cross-reference the master_bedroom_window motor logs to confirm the exact command sent for the lift percentage change at 22:18:26 (manual app control vs. automation rule).

Review entrance_occupancy sensor calibration logs to ensure false positives aren't causing phantom 'entry' events after the house has been vacated.

## 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": 1023,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 23,
    "entrance": 30,
    "master_bedroom": 24,
    "living_room": 24,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T16:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T22:18:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-12T16:06:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-12T18:11:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-12T22:18:26] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-12T22:18:30]

## 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 tailgating incident at the front door between 16:06 and 22:18, characterized by multiple manual locks followed by an unexpected auto-lock event coinciding with a window blind adjustment in the master bedroom.",
      "supported_by": [
        "[2026-06-12T16:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-12T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-12T22:18:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-12T22:18:26] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine morning departure sequence where occupants leave the house (entrance occupancy to 0) and lock doors manually.",
      "supported_by": [],
      "contradicted_by": [
        "The log shows 'DoorLock.LockState' changes explicitly tied to specific times that do not perfectly align with occupancy clearing, and the presence of 'Auto' source events is unusual for standard user behavior described in H2.",
        "No clear timestamp in the provided snippet definitively marks a 'departure' where all zones transition to empty simultaneously before a manual lock."
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal proximity (4 seconds) between Master Bedroom blinds fully closing/adjusting (22:18:26) and Front Door Auto-Lock (22:18:30). This suggests either automated geofencing logic triggered unexpectedly or manual intervention mimicking automation.",
    "Front d


1分钟内多次灯光开关 可能原因：智能家居系统被入侵/远程控制；设备自动化规则冲突；或电路问题 也可能是恐慌信号（住户通过反复开关灯试图引起注意）

通知住户检查是否有人误操作或系统异常

Occupancy sensors in the living room and bedroom are stuck in an 'occupied' state (flickering between 18:00 and 21:50) despite no occupancy events occurring after 19:55, indicating a hardware or firmware failure rather than actual human presence.

Explanation: Initial entry sequence at 18:00 shows normal behavior: door unlock/lock followed by sequential occupancy detection in the living room (18:00:14) and then the bedroom (18:02:00).

Explanation: Starting from 18:07, both living_room and bedroom occupancy sensors report simultaneous and continuous 'Occupied' states without any corresponding motion events, light changes, or appliance usage to justify two people moving rapidly back and forth.

Explanation: The critical evidence is that both occupancy sensors remain fixed at '1' until 21:50, even though other room sensors (like bathroom) correctly report empty states multiple times, and crucially, no new occupancy events appear after 19:55, proving the sensors are malfunctioning/stuck rather than tracking real movement.

[2026-06-29T18:07:00] bedroom_occupancy | OccupancySensing.Occupancy = 1 (Simultaneous with Living Room)

No occupancy change events recorded between 19:55 and 21:50 while sensors remained at 1

[2026-06-29T19:15:30] kitchen_cook_surface | OnOff.OnOff = True (Valid activity in kitchen confirms system is working for other devices)

Immediately reset/reboot the PIR modules for living_room and bedroom zones via the smart home hub.

Schedule a physical inspection of the sensors in the living room and bedroom to check for obstruction or hardware failure.

Review the sensor configuration logs to verify if a recent firmware update caused a logic error in the occupancy algorithm.

High frequency of alternating occupancy states in living_room and bedroom immediately after entry does not match typical settling-in behavior where users stay in one room first; also contradicts the specific timing of bathroom becoming empty exactly when bedroom/living room activity peaks.

Simultaneous persistent occupancy in Living Room and Bedroom starting T+5 mins after entry, without clear sequential movement logic.

Bathroom occupancy dropping to 0 at T+25 mins while other rooms remain active, creating a disjointed spatial occupancy map.

Door lock auto-unlock at 21:49:41 occurring minutes after manual lock at 18:00, potentially indicating an intruder re-entry or system failure if no manual unlock event is logged nearby.

Raw timestamp granularity for occupancy sensors in living_room and bedroom to distinguish between rapid human movement vs. sensor flickering/glitch.

Motion vector data or proximity duration thresholds used by the PIR sensors to filter out false positives.

Detailed log entries around 21:49:41 to verify if the Auto Unlock was triggered by a valid keycard/app or a forced mechanism.

Correlation with door contact sensor state during the 21:49 window to see if the door was actually opened during the 'Auto' unlock.

## 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": 392,
  "salient_event_count": 60,
  "focus_event_count": 119,
  "room_activity": {
    "kitchen": 31,
    "bathroom": 5,
    "bedroom": 26,
    "entrance": 7,
    "living_room": 50
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T21:49:41] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T18:00:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-29T21:49:34] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-29T21:49:41] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-29T17:55:11] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-29T17:57:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-29T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-29T18:00:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-29T18:00:14] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-29T18:02:00] bedroom_o

## 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": "Unusual occupancy pattern suggesting 'ghost' presence or sensor malfunction: Multiple simultaneous occupancy detections in living_room and bedroom (starting 18:05) despite bathroom being empty at 18:25, followed by a sudden transition to empty state later (implied by lack of further events or standard departure logic). Specifically, the high frequency of alternating/overlapping occupancy signals between two rooms while one room (bathroom) is explicitly empty suggests either multiple people moving rapidly or sensor noise.",
      "supported_by": [
        "[2026-06-29T18:05:14] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-29T18:07:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-29T18:10:14] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-29T18:12:00] bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-29T18:25:11] bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents returning home, settling into separate rooms (living room and bedroom), with bathroom usage ending before departure.",
      "supported_by": [
        "[2026-06-29T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T18:00:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-29T18:00:14] living_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "High frequency of alternating occupancy states in living_room and bedroom immediately after entry does not match typical settling-in behavior where


触发安全警报，临时禁用 Keypad 输入，通知住户

Repeated unauthorized lock operation attempts followed by an alarm trigger at 02:17 AM indicate a forced entry attempt.

Explanation: Multiple 'LockOperationError' events occurred consecutively within a 40-second window (02:17:00 to 02:17:40), suggesting repeated physical manipulation or tampering rather than a single user error.

Explanation: The system escalated to a 'DoorLockAlarm' immediately after the final error, confirming the security protocol detected a breach condition.

Explanation: The timing (02:17 AM) coincides with the house being confirmed empty via occupancy sensors, consistent with a break-in attempt during sleeping hours.

Contact local law enforcement immediately to report a potential burglary in progress.

Dispatch security personnel to the premises for visual verification and perimeter check.

Review CCTV footage from the front door and surrounding area between 02:15 and 02:30.

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

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

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential burglary attempt or forced entry via the front door, indicated by repeated lock failure alarms followed by an alarm trigger.",
      "supported_by": ["[2026-06-20T02:17:00] front_door_lock | Event: LockOperationError...", "[2026-06-20T02:17:15] front_door_lock | Event: LockOperationError...", "[2026-06-20T02:17:40] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "System initialization or scheduled maintenance scan causing false occupancy reports at midnight.",
      "supported_by": ["[2026-06-20T00:00:00] ... OccupancySensing.Occupancy = 0" repeated across all rooms],
      "contradicted_by": ["The strict periodicity (every 30 mins) and simultaneous zero occupancy in all rooms including entrance while the house is likely unoccupied at night is suspicious but could be a sync artifact; however, combined with H1 it suggests the system might be compromised or the house was truly empty during a breach attempt."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Multiple consecutive 'LockOperationError' events on the front door within 40 seconds.",
    "Immediate escalation to 'DoorLockAlarm' after the errors.",
    "Timestamps indicate an event occurring at 02:17 AM, a common time for break-ins."
  ],
  "what_to_verify_in_raw_log": [
    "Check the source ID 'OperationSource=3' in the lock error logs to determine if it originated from an internal command (e.g., user app, automation) or an external/unauthorized access attempt.",
    "Correlate the timestamp of the lock failure with any motion sensor triggers in the hallway, living room, or near the entrance.",
    "Verify if the front door contact sensor changed state (opened/closed) around 02:17:00 - 02:18:00 to confirm if the door was physically manipulated.",
    "Check if any other security systems (sirens, lights) were triggered automatically following the alarm code 3."
  ],
  "provisional_risk": "high"
}

## 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": 1397,
  "salient_event_count": 60,
  "focus_event_count": 84,
  "room_activity": {
    "kitchen": 12,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 11,
    "entrance": 16
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-20T02:17:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T02:17:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T02:17:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T02:17:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-20T02:17:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)",
    "[2026-06-20T00:00:00] living_room_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 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 burglary attempt or forced entry via the front door, indicated by repeated lock failure alarms followed by an alarm trigger.",
      "supported_by": ["[2026-06-20T02:17:00] front_door_lock | Event: LockOperationError...", "[2026-06-20T02:17:15] front_door_lock | Event: LockOperationError...", "[2026-06-20T02:17:40] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "System initialization or scheduled maintenance scan causing false occupancy reports at midnight.",
      "supported_by": ["[2026-06-20T00:00:00] ... OccupancySensing.Occupancy = 0" repeated across all rooms],
      "contradicted_by": ["The strict periodicity (every 30 mins) and simultaneous zero occupancy in all rooms including entrance while the house is likely unoccupied at night is suspicious but could be a sync artifact; however, combined with H1 it suggests the system might be compromised or the house was truly empty during a breach attempt."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Multiple consecutive 'LockOperationError' events on the front door within 40 seconds.",
    "Immediate escalation to 'DoorLockAlarm' after the errors.",
    "Timestamps indicate an event occurring at 02:17 AM, a common time for break-ins."
  ],
  "what_to_verify_in_raw_log": [
    "Check the source ID 'OperationSource=3' in the lock error logs to determine if it originated from an internal command (e.g., user app, automation) or an external/unauthorized access attempt.",
    "Correlate the timestamp of the lock failure with any motion sensor triggers in the hallway, living room, or near the entrance.",


门关闭后玄关再次检测到运动 同时有两个不相邻房间的运动信号（住户在客厅，另一人在次卧） 住户是独居的情况下不应有第二个人

疑似尾随入侵警报，建议住户确认是否有同行人

The entrance occupancy sensor is exhibiting periodic false positives (likely a calibration drift or minor environmental trigger) every 5 minutes, but this is isolated from any actual intrusion, door access attempts, or activity in the rest of the house.

Explanation: All other room sensors (living_room, kitchen, bedrooms) consistently report 'Occupancy = 0' during the entire period of repetitive entrance alerts, ruling out human presence or tailgating.

Explanation: The temporal pattern shows perfect regularity (every 5:19 seconds), which is statistically impossible for natural human movement patterns and strongly indicates a hardware glitch or software loop rather than an intruder.

Explanation: There are no correlated events such as door unlocks, camera motion, or temperature spikes that would suggest a forced entry or active threat.

[2026-06-08T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Schedule maintenance to recalibrate or replace the entrance occupancy sensor.

Review system logs for firmware updates related to motion detection algorithms.

[2026-06-08T11:59:22] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-08T12:26:19] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-08T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-08T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Standard home routine with automatic evening locking and morning/afternoon activity.

Door lock operations follow logical user patterns (Manual lock after arrival, Auto unlock before departure/sleep cycle).

Room activity counts are distributed normally (Kitchen/Living Room high, Bedrooms low).

The precise 5-minute interval repetition in H2 is statistically unlikely for normal human movement unless someone is pacing.

The 'Auto' unlock at 22:03 followed by no subsequent log entries until the next day's 11:56 suggests a potential security gap if the house remained occupied.

Repetitive 5-minute interval occupancy triggers at the entrance without corresponding room activity elsewhere (suggests sensor glitch or forced entry tool usage).

Discrepancy between 'Auto' unlock source at 22:03 and lack of subsequent manual interaction or clear exit confirmation.

Raw IR signature data from the entrance motion sensor during the 12:06–12:26 window to distinguish between a single stationary object/pattern vs. actual movement.

Camera footage or doorbell logs around 22:03 to verify who/what triggered the auto-unlock.

Sensor calibration logs or battery levels for the entrance occupancy sensor to rule out hardware failure.

## 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": 909,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 33,
    "entrance": 32,
    "bathroom": 6,
    "living_room": 37,
    "master_bedroom": 6,
    "second_bedroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T17:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-08T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T22:03:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T18:18:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-08T22:03:25] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-08T11:56:19] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-08T11:59:22] bathroom_occupancy |

## 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": "Suspected unauthorized re-entry or 'tailgating' attempt: The front door was locked automatically at 22:03, yet the entrance motion sensor triggered a new presence event just over an hour later (18:18-22:03 gap suggests time travel in logs? No, let's re-read timestamps carefully). Actually, looking at the sequence: Lock at 17:36 (User 1), Manual Lock at 18:18. Then Auto Unlock at 22:03. THEN Occupancy detected at 11:56 next day? Wait, the dates are all 2026-06-08. Let's re-order chronologically.",
      "supported_by": [
        "[2026-06-08T17:36:00] front_door_lock | Event: LockOperation(... UserIndex=1)",
        "[2026-06-08T18:18:00] front_door_lock | DoorLock.LockState = 2 (Locked)",
        "[2026-06-08T22:03:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-08T22:03:25] front_door_lock | DoorLock.LockState = 1 (Unlocked)",
        "[2026-06-08T11:56:19] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Ghost occupancy or sensor malfunction: A series of repetitive 'Occupancy = 1' events at exactly 5-minute intervals (12:06, 12:11, 12:16...) while other rooms remain empty suggests a stuck sensor or a specific automated trigger loop rather than human movement.",
      "supported_by": [
        "[2026-06-08T12:06:19] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-08T12:11:19] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-08T12:16:19] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-08T12:21:19] entrance_occupancy | OccupancySensing.Occupancy = 1",


住户外出期间（门锁显示已锁+无人在家）窗户被打开
随后出现多房间运动信号
入侵者未使用门锁（无 LockOperation 事件）

触发入侵警报，通知住户，建议报警

No confirmed anomaly detected; observed events are consistent with normal resident activity patterns and sensor calibration artifacts.

Explanation: The 'tailgating' hypothesis (H1) is contradicted by the timeline: the front door contact opened at 22:42:27, and the automatic lock engaged immediately at 22:42:28 without any preceding manual unlock event or sustained open state suggesting an intruder. The window blind opening at 22:42:20 is a routine pre-arrival adjustment, not evidence of compromise.

Explanation: The daytime occupancy pattern (H3) showing simultaneous entrance and bedroom presence is explained by the raw log's recurring data points for `entrance_occupancy` (likely a static looped value rather than dynamic motion detection), while temperature sensors show stable, realistic readings throughout the day, ruling out stealthy movement or intrusion.

Explanation: All other system states (locks, contacts, lights) operate within expected parameters for a home being occupied during the day and settled in the evening.

[2026-06-09T22:42:27] front_door_contact | BooleanState.StateValue = True followed immediately by lock engagement

Consistent and stable temperature readings across kitchen and living room sensors from 12:00 to 17:50 indicating no rapid environmental changes typical of intrusion

Monitor the master bedroom window blind schedule to ensure it aligns with user preferences.

Review historical logs for `entrance_occupancy` to determine if the repeated '1' status is a known sensor bug requiring firmware update.

[2026-06-09T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Inconsistent occupancy patterns during daytime hours suggest potential intruder movement or sensor calibration issues. Multiple rapid toggles between entrance and master bedroom occupancy without corresponding activity in living room or other areas could indicate stealthy movement or false positives.

[2026-06-09T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-09T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T12:01:34] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T12:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T12:06:34] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T11:56:34] entrance_occupancy | OccupancySensing.Occupancy = 1

Check camera feeds for master_bedroom_window and entrance around 22:40 to confirm if anyone was present outside the window or tailgating the resident.

Verify the identity of the user associated with the manual unlock event at 22:42:28.

Cross-reference motion sensor data in living_room and kitchen between 22:40 and 22:45 to see if residents moved through common areas after unlocking the door.

## 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": 109,
  "room_activity": {
    "kitchen": 21,
    "master_bedroom": 24,
    "entrance": 31,
    "living_room": 25,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T22:42:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T16:18:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-09T17:50:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-09T22:42:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-09T22:42:28]

## 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 'tailgating' incident: The front door was manually unlocked (State=1) at 22:42:28, immediately following an automatic lock cycle and occurring while the master bedroom window blinds were fully open (100%), suggesting someone may have accessed the home via a compromised window or rear access point before entering the main door.",
      "supported_by": [
        "[2026-06-09T22:42:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-09T22:42:28] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-09T22:42:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening arrival and settling in: Residents returned home around 22:42 after being out during the day, manually unlocking the door and closing it automatically shortly after.",
      "supported_by": [
        "[2026-06-09T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-09T17:50:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": [
        "[2026-06-09T22:42:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-09T22:42:28] front_door_lock | DoorLock.LockState = 1"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Inconsistent occupancy patterns during daytime hours suggest potential intruder movement or sensor calibration issues. Multiple rapid toggles between entrance and master bedroo


假期/出差模式中出现活动

住户已知不在家（连续多天无活动模式） 突然出现活动信号 无门锁操作记录——不是通过正门合法进入 极高可能性是入侵

The evidence indicates a standard daily routine where the house was empty overnight with scheduled temperature reporting and normal manual/auto lock cycles upon entry and exit.

Explanation: Occupancy sensors consistently reported '0' (empty) from midnight to early morning, which aligns with typical residential behavior when residents are asleep or away.

Explanation: The sequence at 07:39 shows occupancy detection followed by a manual lock, then an immediate auto-unlock. The raw logs clarify this: the door contact sensor briefly went False (open) at 07:39:24 before returning True (closed), indicating the user entered, locked the door manually, and the system immediately unlocked it via an automated 'auto-exit' or sensor-triggered sequence while the door remained closed or during the transition, rather than a conflict or tampering attempt.

Explanation: Subsequent events show the door being manually locked again at 18:24, opening shortly after (contact=False), and automatically unlocking again at 21:50 as the resident leaves (occupancy=1 at 21:54), confirming consistent and logical operation of the smart home system.

Raw log at 07:39:24 shows front_door_contact state changed to False, proving the door physically opened between the manual lock and auto-unlock commands.

Final occupancy event at 21:54:07 confirms the resident left the premises after the last auto-unlock event at 21:50:32.

No immediate action required; continue monitoring normal operations.

Optional: Review smart lock settings if the frequent auto-unlock immediately after manual locking causes confusion for the user.

[2026-06-09T18:24:00] front_door_lock | DoorLock.LockState = 2

[2026-06-09T21:50:32] front_door_lock | DoorLock.LockState = 1

[2026-06-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Timestamps and duration between the manual lock command and the subsequent auto-unlock command at 07:39 to determine if this was a user error, a sensor glitch triggering the auto-mode, or external interference.

Raw state readings of the contact sensor (front_door_contact_sensor) around 07:39 to verify if the door was physically closed/open during the conflicting lock/unlock events.

History of occupancy sensor calibration events or firmware updates near midnight on 2026-06-09 to rule out a systematic reset causing false 'empty' readings.

Power consumption logs for the main gateway or sensors at 00:00 and 00:30 to check for network resets or power flickers that could cause sensor dropout.

## 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": 1650,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 12,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:39:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:39:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T18:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T21:50:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T07:39:22] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-09T07:39:31] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-09T18:24:

## 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": "normal",
      "description": "Standard daily routine: User arrives home (manual lock/unlock cycle), spends time in living areas, and the house is empty overnight.",
      "supported_by": ["LockOperation at 07:39 showing Manual Lock then Auto Unlock suggests an automated entry or sensor-triggered unlock sequence typical of smart locks, followed by a Manual Lock later, consistent with someone entering and securing the door"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential 'Door Jamb' or tampering attempt where the user manually unlocked/locked the door while it was already open/closed, or the auto-unlock triggered unexpectedly during manual operation.",
      "supported_by": ["Sequence at 07:39:22 (Manual Lock) immediately followed by 07:39:31 (Auto Unlock) within 9 seconds is highly unusual for a standard entry; typically one unlocks, enters, then locks. The state transition from 2 (Locked) to 1 (Unlocked) via 'Auto' shortly after a 'Manual' lock event suggests a conflict or rapid re-operation."],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible occupancy sensor failure or synchronization issue causing all rooms to report 'Empty' simultaneously at specific intervals (00:00, 00:30, etc.), even if residents were present.",
      "supported_by": ["Multiple occupancy sensors reporting Occupancy=0 exactly on the hour and half-hour across all monitored rooms starting at midnight."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-09T07:39:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:39:31] front_door_lock


凌晨2:30-2:40短时间内多房间连续活动 活动轨迹：客厅→厨房→玄关（像在搜索什么） 卧室全程无活动（住户在睡觉），这些活动不是住户产生的 注意区分：如果卧室先有活动再到其他房间，则可能是住户起夜

The smart lock exhibits a critical firmware or logic failure where manual locking is immediately overridden by an unsolicited auto-unlock sequence without any corresponding door contact change or occupancy trigger.

Explanation: Analysis of the 07:21:27 event shows a manual lock operation followed instantly by an 'Auto' unlock source at 07:21:31, despite the door contact sensor remaining closed (False) between these events, indicating no one exited.

Explanation: This contradicts normal human behavior and standard automation logic, which typically requires a door-open state or specific motion detection to trigger an unlock after a manual lock.

Explanation: Similar patterns at 22:47 suggest a systemic device malfunction rather than a single isolated user error, posing a significant security risk as the home cannot be reliably secured.

[2026-06-09T07:21:29] front_door_contact | BooleanState.StateValue = False

Immediately disable the automated locking/unlocking routines for the front door via the app or cloud service.

Perform a factory reset or firmware update on the front door lock to rule out software corruption.

Temporarily rely on physical deadbolts until the device's integrity is verified.

[2026-06-09T15:57:00] front_door_lock | DoorLock.LockState = 2

Occupancy sensors failed to detect movement during critical transition periods, potentially indicating sensor malfunction or an intruder moving stealthily.

Multiple occupancy readings showing '0' at 00:00:00 and 00:30:00 across all rooms simultaneously, which might be expected if house is empty, but combined with lock anomalies raises suspicion.

Lack of temperature pattern data ('[]') suggests potential sensor offline status or no heat signature change detection.

No specific timestamps showing high occupancy followed immediately by low occupancy except at midnight blocks.

Sequential Manual Lock followed immediately by Auto Unlock on front_door_lock within 4 seconds (07:21:27 - 07:21:31).

DoorLock.LockState changes from 2 (Locked) to 1 (Unlocked) without a clear 'UnlockOperation' event log entry, only an 'Auto' source.

Simultaneous zero occupancy reports across all living spaces at specific intervals could indicate sensor synchronization issues or tampering.

Check raw GPIO/motion logs for the entrance hallway at 07:21:25-07:21:35 to verify if any person actually passed through the doorway before the auto-unlock.

Verify the firmware version and logic rules for the door_lock device to understand why an 'Auto' source triggers an unlock immediately after a manual lock.

Cross-reference bathroom_occupancy and master_bedroom_occupancy logs around 07:21 to see if users were present when the door interaction occurred.

Inspect network traffic logs for the door_lock device at 07:21 to rule out remote access attempts causing the state flip.

## 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": 1842,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 14,
    "second_bedroom": 9,
    "bathroom": 9,
    "entrance": 27
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:21:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:21:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T17:49:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T22:47:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T07:21:27] front_door_lock | DoorLoc

## 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 'tailgating' event where the door was locked manually while occupants were still inside, or an automated locking sequence occurred without a corresponding exit motion trigger.",
      "supported_by": [
        "[2026-06-09T07:21:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-09T07:21:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-09T07:21:27] front_door_lock | DoorLock.LockState = 2 (Locked)",
        "[2026-06-09T07:21:31] front_door_lock | DoorLock.LockState = 1 (Unlocked)",
        "Timing discrepancy between manual lock and auto unlock events suggests complex state transitions not typical of simple entry/exit."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine morning departure routine involving multiple lock/unlock cycles due to user error or testing smart lock features.",
      "supported_by": [
        "High activity count in entrance room (27 events) relative to other rooms.",
        "Timestamps at 07:21 AM suggest start of day activities."
      ],
      "contradicted_by": [
        "Immediate sequential lock/unlock within 4 seconds is highly unusual for standard human behavior unless simulating a glitch.",
        "Presence of Auto source on unlock immediately after Manual lock without explicit manual unlock command logged separately."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Occupancy sensors failed to detect movement during critical transition periods, potentially indicating sensor malfunction or an intruder moving stealthi