BA-05-FP: 邻居/亲友代为浇花/喂宠物

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

No anomaly detected; the log confirms standard household activity with authorized manual lock/unlock cycles and no evidence of forced entry or unauthorized access.

Explanation: Raw logs explicitly show 'front_door_contact' state changed to False (open) immediately after the 14:26 lock operation, proving the door was physically opened by an authorized user rather than forced open while locked.

Explanation: The sequence at 14:36 shows the same UserIndex/OperationSource performing an unlock operation followed by the contact sensor returning to True (closed), consistent with normal exit/re-entry behavior.

Explanation: All subsequent lock operations (16:14, 18:17, 22:27) align perfectly with occupancy data showing residents inside and evening routines (curtains closed), ruling out intrusion scenarios.

[2026-06-29T14:26:03] front_door_contact | BooleanState.StateValue = False

[2026-06-29T14:36:00] front_door_lock | Event: LockOperation(LockOperationType=0...)

[2026-06-29T22:27:29] front_door_contact | BooleanState.StateValue = True

Continue routine monitoring as system behavior is within normal parameters.

[2026-06-29T14:36:00] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=3, UserIndex=5)

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

[2026-06-29T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-29T22:27:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T16:14:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T18:17:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T21:03:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-29T22:27:30] front_door_lock | DoorLock.LockState = 1

[2026-06-29T22:27:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Full timestamped logs for 'front_door_contact_sensor' to determine if the door was physically opened during the 14:26-14:36 window.

Identity mapping for 'UserIndex=5' and 'OperationSource=3' to confirm if they belong to authorized household members or guests.

Logs for 'kitchen_occupancy' and 'living_room_occupancy' between 14:00 and 15:00 to see if anyone entered when the house appeared empty.

History of 'OperationSource=3' usage to establish baseline behavior for this specific actor/source.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1322,
  "salient_event_count": 60,
  "focus_event_count": 97,
  "room_activity": {
    "kitchen": 12,
    "dining_room": 13,
    "kids_room": 17,
    "master_bedroom": 16,
    "entrance": 23,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T14:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-29T14:36:00] front_door_lock | Eve

## 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 forced entry event involving a specific user (UserIndex=5) and an automated system lock state change.",
      "supported_by": [
        "LockOperation at 14:26 with OperationSource=3 and UserIndex=5 followed by LockOperation at 14:36 with OperationSource=3 (Unlock).",
        "LockState=2 (Locked) at 16:14 and 18:17 via Manual sources, but State=1 (Unlocked) at 22:27 via Auto source without a preceding manual unlock log in the suspicious list.",
        "High activity count at Entrance (23 events) compared to other rooms suggests frequent interaction or repeated failed attempts."
      ],
      "contradicted_by": [
        "Standard occupancy patterns show residents present in dining, kids, and master bedrooms around 11:55-12:02, suggesting the household is active.",
        "No explicit 'door_open' sensor trigger listed in suspicious signals between the manual lock/unlock cycles."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine: Closing curtains/blinds in bedrooms and living areas while locking up for the night.",
      "supported_by": [
        "WindowCovering fully closed (100%) in kids_room at 21:03 and master_bedroom at 22:27.",
        "Front door locked automatically (OperationSource=Auto, LockState=1) at 22:27:30 shortly after bedroom windows are closed.",
        "Consistent timing of security measures (curtains down, doors locked) occurring late in the evening."
      ],
      "contradicted_by": [
        "The sequence of 'Manual' locks earlier in the day (16:14, 18:17) combined with the specific UserIndex=5 actions might indicate non-resident access if not explained by a known guest profile."


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

A front door lock malfunction prevented automatic locking, requiring a manual override that resulted in the door being left unlocked with no subsequent re-locking event.

Explanation: At 10:55:00, the system recorded a LockOperationError (OperationError=1) from Source=3, indicating a mechanical or electronic failure during an automated cycle.

Explanation: Immediately after the error, at 10:55:20, a successful manual unlock operation occurred from the same source (Source=3) with UserIndex=1, suggesting a resident intervened to open the door.

Explanation: Crucially, unlike standard exit routines seen at 07:13 and 16:16 where a 'DoorLockContact' sensor triggered a follow-up auto-lock, there is no log entry between 10:55:22 and 22:25 showing the door being locked again. The door remained in the 'Unlocked' state for over 11 hours.

Explanation: This sequence indicates a safety gap where the home was accessible to anyone entering the entrance area during those hours due to the failed locking mechanism.

Absence of any subsequent 'LockState = 1' (Locked) event for the front door until 22:25, despite multiple occupancy events later in the day.

Verify physical status of the front door lock immediately upon arrival.

Check if the door has been left unattended/unlocked since 10:55 and secure it.

Schedule maintenance or replacement for the front door lock hardware.

[2026-06-19T07:13:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T16:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T17:43:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T22:25:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T06:12:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

Timestamps of motion sensor triggers in the Entrance and Living Room immediately preceding/following the 10:55 incident to determine if someone entered before the lock was manually opened.

Source code mapping for 'OperationSource=3' to identify if it corresponds to an automated routine or an external controller.

Battery levels or signal strength logs for the front_door_lock device around 10:55 to rule out hardware failure causing the error.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2474,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 9,
    "living_room": 13,
    "dining_room": 7,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 10,
    "master_bathroom": 7,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:13:21] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:13:25] front_door_lock | Event: LockOp

## 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 forced entry attempt detected involving a door lock malfunction followed by manual override.",
      "supported_by": [
        "[2026-06-19T10:55:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-19T10:55:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity with standard door locking/unlocking cycles and natural occupancy fluctuations.",
      "supported_by": [
        "Multiple Manual LockOperations at varying times (07:13, 16:16, 17:43)",
        "Auto-lock events at start (07:13) and end (22:25) of day",
        "Window covering changes consistent with day/night cycles (Kids room closed morning, opened evening; Master bedroom closed night)",
        "High entrance activity count (25) compared to other rooms"
      ],
      "contradicted_by": [
        "The specific sequence of Error followed by Manual Open at 10:55 which deviates from standard auto-locking patterns"
      ]
    }
  ],
  "most_concerning_signals": [
    "LockOperationError followed immediately by a successful Manual Open operation on the same source (Source=3) within 2 minutes.",
    "DoorLock.LockState transitioning to 'Unlocked' (1) shortly after the error event."
  ],
  "what_to_verify_in_raw_log": [
    "Identity of UserIndex=1 in the log entries (is it a known resident or an unknown entity?).",
    "Timestamps of motion sensor triggers in the Entrance and Living Room immediately preceding/following the 10:55 incident to determine if someone entered before the lock was manuall


CH-02-FP: 家长陪同孩子在厨房

家长也在活动（living_room occupancy），不是孩子独自操作灶具

Automated security lockdown triggered without corresponding human occupancy or emergency sensor events, suggesting a potential system glitch or unrecognized trigger.

Explanation: Occupancy sensors indicated residents were still inside the house (Master Bedroom) at 22:36 when windows closed and the door locked automatically.

Explanation: No motion detection or emergency alerts (smoke/water) occurred in common areas prior to the lockout sequence.

Explanation: The sequence of closing multiple windows followed immediately by an auto-lock is inconsistent with standard evening routines where users are typically present to operate controls.

[2026-06-03T22:36:11] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Verify if any automation rules were recently modified to trigger on window position changes.

Check system logs for false-positive triggers from smoke detectors or water leaks around 22:35.

Confirm physical status of all locks and windows via the mobile app to ensure no unauthorized access occurred.

[2026-06-03T18:09:00] front_door_lock | DoorLock.LockState = 2

[2026-06-03T21:03:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Simultaneous closure of multiple windows (kids_room, master_bedroom) at 22:36 without prior motion detection in those rooms or nearby common areas.

Front door auto-locked immediately (4 seconds) after the window closures, which could indicate a trigger-based automation reacting to a perceived threat or a false positive sensor event.

Check if any smoke_co_alarm or water_leak_detector events occurred between 22:35 and 22:37 that might have triggered an emergency lockdown protocol.

Verify the source IP address or device MAC for the 'Auto' lock operation at 22:36:24 to rule out remote access or bot activity.

Review raw timestamp data for the kids_room_window and master_bedroom_window sensors to determine if they were physically forced shut or adjusted electronically.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 706,
  "salient_event_count": 60,
  "focus_event_count": 87,
  "room_activity": {
    "kitchen": 13,
    "master_bedroom": 13,
    "dining_room": 10,
    "entrance": 18,
    "kids_room": 12,
    "living_room": 17,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T22:36:24] front_door_lock | Event: LockOp

## 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 late-night window closure sequence coinciding with front door auto-locking, suggesting a potential intrusion attempt or automated security system glitch rather than normal human behavior.",
      "supported_by": [
        "[2026-06-03T22:36:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-03T22:36:24] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-03T22:36:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "No occupancy sensor triggered in the kitchen or living room around 22:36 to explain why windows would be closed manually or automatically without user presence."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents returning home from an evening out, securing the house (closing kids' and master bedroom windows) before locking the front door via an automated routine.",
      "supported_by": [
        "[2026-06-03T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-03T17:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-03T17:56:07] dining_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "The specific timing of window closures (22:36) occurring after the initial manual lock (18:09) and without corresponding motion events in common areas suggests this is not part of the standard 'entering home' workflow observed earlier in the night."
      ]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous closure of multiple windows (kids_room, master_bedroom) at 22:36 wi


BA-02-FP: 住户周末改变习惯早起做饭

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

The sequence represents a standard 'Away' mode routine where residents raise window coverings for privacy/cooling and trigger an automated lock upon exiting, rather than an intrusion or malfunction.

Explanation: Occupancy logs show continuous presence in key rooms (Entrance, Master Bedroom, Kids Room) from 11:56 to 22:17, with the last occupancy detection at 22:17:11.

Explanation: The event at 22:17:16 (curtains raised) and 22:17:24 (contact sensor triggered) aligns perfectly with a resident finishing tasks, closing blinds, and walking through the front door.

Explanation: The 'Auto' lock operation at 22:17:25 is a logical consequence of the contact sensor detecting the door opening/closing while no other occupants are detected inside (based on the gap since the last occupancy ping), which is standard smart-home behavior.

Explanation: There is no evidence of forced entry, simultaneous conflicting states, or unauthorized access; the timeline is consistent with a single household evacuation.

Last occupancy signal at 22:17:11 vs. Door Contact Trigger at 22:17:24 indicates the user was present until just before exiting.

Window covering command at 22:17:16 precedes the door event by ~9 seconds, indicating intentional preparation for departure.

No motion or occupancy signals were recorded in the house after 22:17:11, confirming an empty state prior to the lock auto-engagement.

Acknowledge as normal activity; no intervention required.

Verify that the 'Auto-lock' rule logic correctly requires 'Door Open + No Occupancy Detected Inside' to prevent accidental locking if someone remains behind.

[2026-06-26T17:51:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T22:17:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T16:25:00] front_door_lock | DoorLock.LockState = 2

[2026-06-26T17:51:00] front_door_lock | DoorLock.LockState = 2

[2026-06-26T21:20:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-26T22:17:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-26T22:17:25] front_door_lock | DoorLock.LockState = 1

No motion detected in Second Bedroom or Master Bathroom during the high-activity period, suggesting selective usage rather than a whole-house evacuation pattern typical of late-night routines.

Simultaneous occurrence of Front Door State -> Unlocked (1) and Auto Lock Operation (Source=Auto) at 22:17:25.

Rapid sequential raising of window coverings in Kids Room and Master Bedroom (~1 minute apart) immediately preceding the door state anomaly.

Gap between the last known manual lock operations (16:25, 17:51) and the suspicious state change/auto-lock cycle at 22:17.

Timestamp precision of the 'DoorLock.LockState = 1' event vs. the 'LockOperation(LockOperationType=0, OperationSource=Auto)' event to determine causality order.

Raw binary data or detailed state logs for the front_door_lock contact sensor at 22:17:25 to confirm if the door was actually opened or if it was a false positive state report.

Logs for any other door/window locks on the house perimeter to see if they were manipulated around the same time.

History of the 'Auto' lock logic configuration to verify if this specific trigger condition is standard behavior or a misconfiguration.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1324,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 13,
    "entrance": 20,
    "master_bedroom": 15,
    "kids_room": 15,
    "dining_room": 12,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T16:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T17:51:00] front_door_lock | Event: Lock

## 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": "Premature departure and potential unauthorized access or breach of security during a multi-room occupancy event.",
      "supported_by": [
        "Front door lock transitioned from 'Locked' (2) to 'Unlocked' (1) at 22:17:25, followed immediately by an Auto-lock operation at the same second (22:17:25).",
        "Window coverings in Kids Room (22:17:25) and Master Bedroom (22:17:16) were raised to 100% within minutes of the door unlock.",
        "Occupancy sensors in Entrance, Master Bedroom, Kids Room, Dining Room, and Living Room showed active presence starting around 11:56-12:02."
      ],
      "contradicted_by": [
        "No explicit 'Unlock' event timestamp is provided; only the state change to '1' and a subsequent 'Auto' lock event are logged, which could be a system glitch rather than manual intervention.",
        "The sequence of raising curtains could simply be part of a routine evening exit routine where residents open windows/curtains before leaving."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity with delayed automated locking.",
      "supported_by": [
        "High correlation between occupancy events in multiple rooms and the final door unlock state change.",
        "Raising all window coverings suggests a coordinated effort to secure the interior environment before leaving."
      ],
      "contradicted_by": [
        "The timing of the 'Auto' lock event occurring simultaneously with the 'Unlocked' state change is physically ambiguous without raw timestamps for the actual mechanical movement versus the sensor trigger.",
        "No motion detected in Second Bedroom or Master Bathroom during the high-activity period,


CH-02-FP: 家长陪同孩子在厨房

Simultaneous occupancy loss across all zones at a precise timestamp with concurrent temperature sensor drift indicates a system-wide sensor failure rather than human departure.

Explanation: All occupancy sensors reported '0' simultaneously exactly at T00:00:00, which lacks the typical transition period (lights off, door lock) of a normal household departure.

Explanation: The kitchen and living room temperature sensors show rapid, linear increases (e.g., 2261 to 2394 units in ~4 hours), suggesting sensor drift or calibration error rather than actual environmental heating, which correlates with the simultaneous occupancy drop.

Explanation: The pattern of total silence across every defined zone including the entrance without any door contact events is statistically impossible for a normal exit but consistent with a network glitch or sensor firmware crash.

Timestamped synchronization: All occupancy drops occur precisely at [2026-06-21T00:00:00].

Temperature anomaly: Kitchen temp jumps from 2261 to 2394 over 4 hours, indicating sensor instability.

Absence of exit events: No 'Door Lock Engaged' or 'Contact Sensor Open->Closed' logs preceding the empty state.

Immediately reboot the smart home hub and re-pair occupancy sensors.

Check physical wiring or power supply to the sensor network for interruptions at midnight.

Verify sensor calibration settings and compare readings against known baseline values.

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

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

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

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

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

[2026-06-21T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Check the exact sequence of events immediately preceding [2026-06-21T00:00:00] to find the last 'door_lock' engagement or 'contact_sensor' closure.

Verify the state history of the 'entrance_contact_sensor' to determine if the front door was opened/closed.

Cross-reference HVAC (air_conditioner) status in living_room/master_bedroom; active cooling/heating would contradict the 'empty house' hypothesis.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1492,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T00:00:00] dining_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": "Simultaneous and sustained occupancy loss across all private rooms and common areas suggests a complete house abandonment or a sensor network failure.",
      "supported_by": [
        "suspicious_signals: All listed occupancy sensors (living_room, dining_room, master_bedroom, etc.) report '0' starting at T00:00:00 on consecutive hours.",
        "room_activity: High activity counts in bedrooms (9 each) contradict the long duration of zero occupancy reported in suspicious signals if interpreted as continuous state."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The household departed early morning (e.g., for travel or work), resulting in empty rooms from midnight onwards.",
      "supported_by": [],
      "contradicted_by": [
        "suspicious_signals: The timestamp starts exactly at 00:00:00 with immediate emptiness; typically, there is a transition period (lights off, doors locked) visible in logs before total silence.",
        "event_count: Total events are 1492 with 78 focus events, suggesting recent activity prior to the cutoff, but the specific pattern of *simultaneous* drop-off across *all* zones including entrance is statistically unlikely for normal departure without an explicit 'door closed/locked' event logged first."
      ]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous occupancy=0 across ALL defined zones (Living, Dining, MasterBed, SecondBed, Kids, MasterBath, Entrance) starting precisely at 00:00:00.",
    "Absence of any 'Door Lock Engaged' or 'Contact Sensor Open->Closed' events in the provided suspicious_signals list despite high room activity counts earlier."
  ],
  "what_to_verify_in_raw_log": [


开窗前住户先在同一房间活动并开灯，是主动行为

The sequence of events represents normal household activity: occupants manually locked the door twice while inside (confirmed by contact sensors showing 'False'/closed), exited at night, unlocked the door remotely/auto-unlocked upon entry, and opened windows for ventilation.

Explanation: Occupancy logs show residents present in master bedroom and kids room during the window opening events (21:05 and 22:32).

Explanation: Front door contact sensor logs confirm the door was closed (State=False) immediately after manual locking at 15:57 and 17:41, proving occupants were inside and did not exit then.

Explanation: At 22:32:29, the front door contact sensor registered an open state (True) right before the auto-unlock event, indicating a resident physically exited and triggered the unlock mechanism to enter or verify access, followed by window opening for fresh air.

Explanation: No evidence of forced entry, tailgating, or unauthorized access; all actions align with expected human behavior patterns.

[2026-06-17T15:57:02] front_door_contact | BooleanState.StateValue = False

[2026-06-17T17:41:02] front_door_contact | BooleanState.StateValue = False

[2026-06-17T22:32:29] front_door_contact | BooleanState.StateValue = True

[2026-06-17T22:32:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Continue monitoring standard occupancy patterns.

No immediate intervention required as the system behavior is consistent with authorized user activity.

[2026-06-17T15:57:00] front_door_lock | DoorLock.LockState = 2

[2026-06-17T17:41:00] front_door_lock | DoorLock.LockState = 2

Multiple manual lock operations on the front door within a short window (15:57, 17:41) without corresponding occupancy exit events immediately preceding them in the log snippet.

Rapid state change of Front Door Lock from Locked (State=2) to Unlocked (State=1) coinciding with privacy zone window openings.

Raw motion sensor logs for the hallway/entrance between 22:32:00 and 22:35:00 to confirm if someone physically exited the home via the front door.

Timestamps and sources for the manual lock operations at 15:57 and 17:41 to verify user identity (e.g., did they leave and come back, or is this a false positive/repeated trigger?).

Window covering motor logs for the master bedroom and kids room around 21:05 and 22:32 to determine if the windows were opened remotely via app/voice or manually.

Contact sensor logs for the front door to see if the door was actually opened after being unlocked at 22:32:30.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1326,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 18,
    "dining_room": 12,
    "kids_room": 13,
    "entrance": 21,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T17:41:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspicious entry sequence: The front door was manually locked at 15:57 and again at 17:41, followed by a rapid transition to 'unlocked' state at 22:32:30. Immediately after the unlock event (at 22:32:23), multiple windows in the master bedroom and kids room were fully opened.",
      "supported_by": [
        "[2026-06-17T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T22:32:30] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-17T22:32:23] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-17T21:05:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household activity pattern consistent with family presence during daytime hours (11:55 - 12:08) involving entrance, dining room, living room, and children's areas.",
      "supported_by": [
        "[2026-06-17T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T11:58:04] dining_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T11:59:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T12:03:04] dining_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Temporal proximity of Front Door Unlock (22:32:30) and Master Bedroom/Kids Room Windows Opening (22:32:23 / 21:05:06).",
    "Multiple manual lock operations


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

Automated security lockdown (door lock and window closure) was triggered while occupants were still confirmed present in multiple rooms, indicating a failure in occupancy-aware automation or a false 'away' state.

Explanation: Occupancy sensors continuously reported presence (value=1) in the Master Bedroom, Kids Room, Dining Room, and Entrance from 18:00 through 22:39:12.

Explanation: At 22:39:14, the system automatically closed the Master Bedroom window, and at 22:39:20 it locked the front door via an 'Auto' source.

Explanation: The critical discrepancy is that the sensor reading for the Master Bedroom remained active ('Occupancy = 1') just 2 seconds before the window closed and 6 minutes before the door locked, contradicting the logic of an empty-home departure sequence.

Explanation: This suggests either a severe delay in the geofence/exit detection logic or a malfunction where the system failed to update the 'home' status despite physical presence.

[2026-06-22T22:39:12] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Verify the actual location of household members to ensure they are safe and not trapped inside.

Check mobile device logs for the timestamp of the last known exit vs. the automated trigger time to diagnose the logic gap.

Review automation rules for 'Away Mode' triggers to adjust sensitivity or add manual confirmation steps if this pattern recurs.

[2026-06-22T17:59:02] dining_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T17:59:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Timestamp alignment of Front Door Locking (22:39:20) and Window Closing events (22:39:14/22:39:20) implies an automated 'Secure Home' trigger.

The existence of these secure actions while previous logs show active occupancy in Kids Room and Master Bedroom until at least 18:09 creates a logical gap regarding when the 'leaving' decision was made.

Check if there are any manual override commands for the windows or lock issued by a user device around 22:39.

Verify the status of motion sensors in Living Room, Dining Room, and Entrance immediately after 22:39:20 to confirm if people were still present or had vacated.

Inspect the 'suspicious_signals' list for missing context on why the automation triggered so late (e.g., geofence exit time vs. actual exit time).

Cross-reference the timestamp 22:39 with the last known location of mobile devices associated with household members.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 697,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 14,
    "kids_room": 13,
    "master_bedroom": 15,
    "dining_room": 11,
    "entrance": 13,
    "living_room": 19,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T22:39:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T20:42:10] kids_room_window | WindowCovering

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Premature departure sequence: Front door locked and occupants present in multiple rooms suggest a departure event occurring while the house was not fully empty, or a simulated 'away' mode activation with physical presence detected.",
      "supported_by": ["[2026-06-22T22:39:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-22T22:39:20] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening occupancy pattern: Multiple family members moving through common areas (entrance, dining, living) and bedrooms between 17:55 and 18:09 is consistent with normal household activity before leaving.",
      "supported_by": ["[2026-06-22T17:55:10] kids_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-22T17:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-22T18:04:02] dining_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Simultaneous window closing across disparate zones (Kids Room, Master Bedroom) at 22:39 suggests an automated security routine (Away Mode) triggered despite high room activity counts earlier, potentially indicating a false 'empty home' state or delayed automation logic.",
      "supported_by": ["[2026-06-22T22:39:14] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-22T20:42:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Timestamp alignment of Front Doo


CH-01-FP: 孩子生病请假在家（家长陪护）

家长也在家（多个房间有活动），不只是儿童房，说明有成人陪护

The front door lock exhibited a critical malfunction where a manual lock command was immediately followed by an automatic unlock command with no corresponding door opening event or occupancy change to explain the trigger.

Explanation: At 07:38:22, a 'Manual Lock' operation occurred (LockState -> 2).

Explanation: At 07:38:24, the contact sensor briefly reported False (door open), but immediately returned to True at 07:38:28, indicating the door never actually swung open or someone passed through.

Explanation: Despite the contact sensor returning to closed, the system executed an 'Auto Unlock' at 07:38:29, logically contradicting the physical state of the door being closed and locked.

Explanation: This sequence (Manual Lock -> Contact Flash -> Auto Unlock) suggests a controller logic error or firmware glitch rather than human intervention or forced entry.

[2026-06-02T07:38:24] front_door_contact | BooleanState.StateValue = False

[2026-06-02T07:38:28] front_door_contact | BooleanState.StateValue = True

Immediately inspect the front door lock hardware and internal mechanism for physical obstruction or damage.

Check the lock's firmware version and update if possible to address potential software bugs.

Test the lock in safe mode or bypass smart automation until the issue is resolved.

[2026-06-02T06:43:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-02T07:38:22] front_door_lock | DoorLock.LockState = 2

[2026-06-02T07:38:29] front_door_lock | DoorLock.LockState = 1

The specific sequence of 'Manual Lock' followed quickly by 'Auto Unlock' is atypical for normal human behavior unless a smart device trigger occurred unseen.

LockOperationType=1 (Manual Lock) at 07:38:22 immediately followed by LockOperationType=0 (Unlock) via Auto source 7 seconds later.

LockOperationType=1 (Manual Lock) at 18:04:00, but no subsequent unlock event visible in the snippet until 22:13:29 (over 4 hours), suggesting the door might have been left unlocked while residents were inside, or the log is incomplete.

High frequency of manual locking events without clear corresponding occupancy changes leading up to them.

Check if any automated devices (e.g., smart thermostat, leak detector, motion sensor) triggered an auto-unlock command between 07:38:22 and 07:38:29.

Verify the state of the front door contact sensor immediately after the 18:04:00 manual lock to confirm if it was actually opened again.

Cross-reference camera footage (if available) for the time window around 07:38 and 18:04 to see who/what interacted with the door.

Check logs for any network anomalies or external commands sent to the door lock controller.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2470,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 13,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 10,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:38:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:38:29] front_door_lock | Event: LockO

## 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 forced access: Front door was locked manually, then immediately unlocked automatically, followed later by manual locking and unlocking cycles that do not align with typical human movement patterns (e.g., entering a room to lock from inside).",
      "supported_by": [
        "[2026-06-02T07:38:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T07:38:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-02T16:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T22:13:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity: Residents are present in multiple rooms during the day and night, managing windows and lights as expected.",
      "supported_by": [
        "Room activity counts show presence in kitchen, living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, entrance",
        "[2026-06-02T21:05:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-02T22:13:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "The specific sequence of 'Manual Lock' followed quickly by 'Auto Unlock' is atypical for normal human behavior unless a smart device trigger occurred unseen


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

A sequence of failed lock operations and a specific error code indicates a mechanical or firmware failure in the front door lock during the morning entry routine, rather than an external intrusion attempt.

Explanation: Occupancy logs show a clear, normal household pattern: house empty at midnight, residents awake by 06:13 (kids room), and front door interactions occurring consistently at 07:42, 16:22, and 17:54.

Explanation: The anomalous cluster between 07:42:30 and 07:43:20 shows a manual unlock followed immediately by an 'Auto' re-lock, then a distinct 'LockOperationError', and finally a successful lock operation from 'Source=3' (system/hub).

Explanation: Unlike an intrusion which would typically involve forced entry attempts or multiple failed access codes from different sources, this event sequence involves the home's own automation system attempting to lock the door after a user enters, failing once, and succeeding on the second automated attempt.

[2026-06-19T07:43:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)

Rapid succession of Front Door Lock events (Unlock -> Auto-Lock -> Error -> System-Lock) within 60 seconds.

Check the physical battery level and firmware status of the front door smart lock.

Inspect the mechanical latch mechanism for obstructions or wear causing the initial locking failure.

[2026-06-19T07:42:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T07:43:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)

[2026-06-19T16:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T17:54:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T22:36:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T06:13:16] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

No corresponding motion sensor data provided in the packet to confirm if anyone entered/exited when windows changed state, though the timing suggests evening transition.

Master bedroom window also opened at 22:36 shortly after front door locked, suggesting normal bedtime routine (opening curtains for sleep or AC adjustment) rather than intrusion.

Rapid succession of Front Door Lock operations between 07:42:30 and 07:43:20

Raw timestamp precision for the 07:42:30 - 07:43:20 cluster to determine if the 'Auto' lock and 'Error' were simultaneous or sequential failures.

Battery voltage and firmware version of the front door lock during the incident to rule out power-induced glitches.

Motion sensor logs for the Entrance hallway immediately preceding the 07:42 event to check for presence prior to the first manual unlock.

Definition of 'OperationSource=3' in device documentation to distinguish between system controller vs. physical keypad vs. smart home hub.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2302,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 6,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:42:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:42:33] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential break-in attempt or lock malfunction involving unauthorized access attempts during early morning hours (07:42-07:43).",
      "supported_by": [
        "Sequence of events at 07:42 showing manual unlock followed by immediate auto-lock, then an explicit LockOperationError at 07:43:00, and a subsequent user-indexed lock operation.",
        "High frequency of door lock events clustered within a 3-minute window compared to the rest of the day."
      ],
      "contradicted_by": [
        "The error source is listed as '3' (potentially internal/system) rather than a clear external tamper signal, though this is ambiguous without raw logs."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household occupancy patterns consistent with a single-family residence waking up and settling down.",
      "supported_by": [
        "Occupancy sensors show 0 occupancy at midnight across all rooms.",
        "Morning activity starts around 06:13 (kids room window open/close) and 07:42 (door interactions).",
        "Evening activity peaks in living/dining/kitchen areas before settling at 22:36.",
        "Room activity counts are distributed logically for a family (high entrance traffic, moderate spread)."
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible window security breach or sensor glitch in children's room late at night.",
      "supported_by": [
        "Kids room window covering reported as fully closed (0%) at 06:13, but then fully open (10000/100) at 20:56.",
        "No corresponding motion sensor data provided in the packet to confirm if anyone entered/exited when windows changed s


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

Evidence of a manual door unlock at 07:36 followed by an open door state lasting ~9 seconds with no subsequent occupancy sensor trigger in the main living areas suggests a potential undetected entry or failed detection event.

Explanation: At 07:36:26, a manual lock unlock occurred while occupants were logged as present in the master bedroom (triggered later at 07:37:00), creating a temporal gap where the person entering may not have been detected by sensors.

Explanation: The front door contact sensor explicitly registered the door as open (False) for approximately 9 seconds (07:36:28 to 07:36:35) before auto-locking, confirming the door was physically compromised.

Explanation: Despite the confirmed open-door state and manual intervention, no occupancy sensors in the living room, dining room, or entrance triggered during this specific window, indicating either a blind spot, sensor failure, or that the intruder entered without triggering motion sensors.

[2026-06-25T07:36:28] front_door_contact | BooleanState.StateValue = False

[2026-06-25T07:36:35] front_door_contact | BooleanState.StateValue = True

Absence of OccupancySensing.Occupancy = 1 events in living_room_occupancy or dining_room_occupancy between 07:36:26 and 07:37:00

Review video surveillance footage from the front porch and interior hallway covering 07:35 to 07:40.

Inspect and recalibrate motion sensors in the entrance hallway and living room to ensure they cover the entry path.

Check physical condition of the front door handle and strike plate for signs of forced entry or tampering.

[2026-06-25T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T06:13:17] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-25T07:36:26] front_door_lock | DoorLock.LockState = 2

[2026-06-25T07:36:36] front_door_lock | DoorLock.LockState = 1

Suspicious time-based zero-occupancy reporting for all rooms at exactly 00:00:00, which may indicate a system reset, data spoofing, or loss of connectivity rather than natural vacancy.

[2026-06-25T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-25T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Manual unlock/lock cycle at 07:36 (early morning) with no occupant movement detected elsewhere.

Simultaneous zero-occupancy readout across all rooms at midnight (00:00:00), suggesting potential log manipulation or sensor failure.

Check raw GPIO/motion logs between 07:35 and 07:40 to confirm if anyone entered the house after the manual unlock.

Verify the source IP or MAC address of the 00:00:00 occupancy updates to distinguish between a scheduled system reset and external tampering.

Review the 'door_contact_sensor' status history for the front door during the 07:36 window to see if the door remained open longer than expected for a quick lock/unlock cycle.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2300,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:36:36] front_door_lock | Event: LockOp

## 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 forced entry at 07:36 and 16:18, indicated by manual unlocking followed immediately by re-locking without corresponding occupancy changes in other rooms.",
      "supported_by": [
        "[2026-06-25T07:36:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T07:36:36] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-25T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T16:18:00] front_door_lock | DoorLock.LockState = 2"
      ],
      "contradicted_by": [
        "No immediate occupancy sensor triggers reported for living_room or dining_room around these timestamps."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening departure sequence involving closing curtains in kids_room and master_bedroom followed by automatic door locking.",
      "supported_by": [
        "[2026-06-25T20:49:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-25T22:33:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-25T22:33:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-25T22:33:24] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspicious time-based zero-occupancy reporting for all rooms at exactly 00:00:00, which may indicate a system reset, data spoofing, or loss of connectivity rather than natural vaca


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

Systematic sensor failure causing synchronized false-negative occupancy reports across all rooms during early morning hours, despite active environmental telemetry.

Explanation: Occupancy sensors for every room simultaneously reported '0' at 00:00, 00:30, 01:00, and subsequent intervals with perfect synchronization, which is statistically improbable for real-world human movement patterns.

Explanation: Conversely, temperature sensors continued to report valid, incrementing measurements (e.g., kitchen_temp_sensor rising from 2265 to 2403) between these timestamps, proving the IoT network was operational and not offline or frozen.

Explanation: The lack of any motion triggers, light changes, or other granular events alongside the static occupancy zeros indicates a systematic data sampling anomaly or configuration reset affecting only the occupancy logic, rather than actual vacancy.

Simultaneous 'Occupancy = 0' reports across all 8 rooms at 00:00, 00:30, 01:00, etc.

Temperature sensor logs show continuous activity and value changes (e.g., 2265 -> 2274 -> 2285) during the same periods where occupancy was falsely reported as zero.

Immediately check smart home hub status and review system logs for firmware updates, configuration resets, or power cycles occurring around 00:00.

Inspect individual occupancy sensor battery levels and physical placement to rule out hardware failure before assuming a central software glitch.

Verify if the 'Occupancy = 0' state persists after rebooting specific sensor nodes or resetting the occupancy logic profile.

[2026-06-13T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

At exactly 00:00, 00:30, and 01:00, nearly every room simultaneously reports 'Occupancy = 0'. Real-world occupancy rarely drops to absolute zero across every single room (e.g., master bathroom vs master bedroom) with such perfect synchronization unless everyone left simultaneously or the sensor logic was forced.

The lack of variation in the 'suspicious_signals' list (only occupancy readings, no motion triggers, no light changes) suggests a lack of granular telemetry.

If the house is genuinely empty (e.g., owners away), this pattern is technically consistent, though unusual for how IoT logs typically report.

Simultaneous 'Occupancy = 0' reports across all rooms at 00:00, 00:30, and 01:00

Check the 'UserIndex=5' identity mapping and the 'OperationSource=3' definition to determine if this was a legitimate user, a smart home routine, or an external trigger.

Verify the timestamps and status transitions of individual room occupancy sensors between 00:00 and 01:00 to see if they were actively reading '0' or if the log stream was paused/frozen.

Cross-reference the 18:10 door lock event with the entrance_occupancy_sensor log to confirm the door was actually opened/closed and whether anyone entered/exit after that time.

Check for any 'system_reset', 'firmware_update', or 'config_change' events around 00:00 that might explain the synchronized sensor behavior.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1492,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 10,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 10
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
    "[2026-06-13T00:00:00] living_room_occupancy |

## 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": "Household is currently empty or asleep during the early morning hours (00:00 - 01:00).",
      "supported_by": ["Multiple occupancy sensors across all living spaces reported 'Occupancy = 0' at 00:00, 00:30, and 01:00.", "Room activity distribution shows standard usage patterns for a residential setting."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or presence detection failure due to the front door lock event occurring in isolation.",
      "supported_by": ["A 'LockOperation' event occurred on the front_door_lock at 18:10 with UserIndex=5. The context of UserIndex=5 suggests either an automated system action, a specific user profile not associated with normal waking hours if defined strictly, or a potential tailgating/tampering attempt depending on the source definition.", "The timestamp 18:10 falls outside typical deep sleep hours but could be late evening return; however, combined with the subsequent silence, it warrants checking if the door was left open or locked improperly."],
      "contradicted_by": ["No subsequent occupancy events immediately following the 18:10 lock operation indicate immediate intrusion; the house appears secured afterwards."],
      "id": "H3",
      "type": "anomaly",
      "description": "Systematic data sampling anomaly: Occupancy sensors are reporting static '0' values every 30 minutes in a burst pattern, which may indicate sensor network failure or a configuration reset rather than actual vacancy.",
      "supported_by": ["At exactly 00:00, 00:30, and 01:00, nearly every room simultaneously reports 'Occupancy = 0'. Real-world occupancy rarely drops to absolute zero across every


A door lock was triggered by an automated source (UserIndex=5) while the entrance sensor simultaneously detected occupancy, followed immediately by a state change indicating the door opened or failed to remain secured.

Explanation: The front door was manually locked at 15:58:00 with LockState=2 (Locked), confirmed by contact sensor False.

Explanation: At 16:18:00, a LockOperation occurred via 'OperationSource=3' and 'UserIndex=5' (automated/system trigger) rather than manual input, which is highly irregular for a residence.

Explanation: Crucially, the log shows 'entrance_occupancy = 1' recorded exactly 3 seconds after this suspicious auto-lock attempt, implying someone was present at the door when the system attempted to lock it automatically.

Explanation: The subsequent lack of a successful 'LockState=2' confirmation in the immediate window following the 16:18 event, combined with the presence indicator, suggests the door may have been forced open or unlocked prematurely due to the anomaly.

[2026-06-11T16:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Immediately review security camera footage for the period between 16:17:00 and 16:20:00 to identify individuals at the front door.

Audit user profile database to verify if 'UserIndex=5' corresponds to a registered device or authorized user; disable if unknown.

Check physical hardware for signs of tampering on the front door lock mechanism.

[2026-06-11T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-11T22:35:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-11T15:58:00] front_door_lock | DoorLock.LockState = 2

[2026-06-11T18:05:00] front_door_lock | DoorLock.LockState = 2

[2026-06-11T20:47:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-11T22:35:26] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Verify the physical sensor data for the front door contact sensor immediately after the 16:18:00 auto-lock attempt to see if the door opened/closed unexpectedly.

Cross-reference the 16:18:00 timestamp with any other system-wide events (e.g., smart home hub reboot, firmware update) that might trigger automatic locking logic.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1443,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "master_bedroom": 13,
    "kids_room": 13,
    "master_bathroom": 10,
    "dining_room": 12,
    "entrance": 19,
    "living_room": 12,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T16:18:00] front_door_lock | Event: Loc

## 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 15:58, but a second lock operation occurred exactly 20 minutes later (16:18) initiated by an automated source (UserIndex=5) rather than manual input. This is followed immediately by the door unlocking state change.",
      "supported_by": [
        "[2026-06-11T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-11T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)",
        "[2026-06-11T22:35:29] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard household occupancy pattern where multiple rooms show simultaneous presence during daytime hours, consistent with family activity.",
      "supported_by": [
        "[2026-06-11T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T11:55:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T11:56:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-11T16:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=5)"
  ],
  "what_to_verify_in_raw_log": [
    "Check if 'UserIndex=5' corresponds to a registered resident or device in the user profile database.",
    "Verify the


CH-04-FP: 家长在玄关操作门锁

The sequence of events is consistent with residents managing ventilation and securing the home (unlocking front door to leave) rather than an unauthorized entry.

Explanation: Occupancy logs at 22:25:11 confirm a resident was present in the master bedroom immediately before the window opened at 22:25:14, refuting the theory of stealth entry from outside.

Explanation: The 'Auto' unlock source at 22:25:19 coincides with the front door contact sensor triggering at 22:25:18, indicating a resident opened and exited through the front door while the system automatically locked it upon closure.

Explanation: The window openings in both rooms occurred simultaneously shortly after occupancy was confirmed, which aligns with a coordinated ventilation routine or preparing for sleep, not necessarily a breach.

[2026-06-29T22:25:11] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-29T22:25:18] front_door_contact | BooleanState.StateValue = True

Monitor the next few hours to ensure no further unauthorized access attempts occur.

Review smart lock automation schedules to confirm 'Auto' locking behavior matches intended user habits.

[2026-06-29T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-29T16:35:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T18:00:00] front_door_lock | DoorLock.LockState = 2

The combination of an 'Auto' unlock at 22:25 followed by windows opening in *different* rooms (kids and master) simultaneously is less typical for simple ventilation unless a whole-house fan system triggered it, which isn't listed. Also, the master bedroom had no recent occupancy change prior to this sequence.

Synchronization between Front Door Unlock (22:25:19), Kids Room Window Open (22:25:14), and Master Bedroom Window Open (22:25:14).

Front door unlock source reported as 'Auto' at 22:25, yet windows are manually adjusted shortly after without corresponding occupancy data in the main living areas.

Lack of occupancy confirmation in Master Bedroom prior to its window being opened at 22:25.

Check if any other devices (e.g., smart plugs, lights) were activated exactly between 22:25:00 and 22:26:00 to confirm human presence vs. sensor glitch.

Verify the definition of LockOperationType=0; does 'Auto' correspond to a known schedule (e.g., night mode) or an unexpected trigger?

Cross-reference the timestamp 22:25:14-19 with motion sensor logs for hallway/living room to rule out stealth movement.

Check if the 'Auto' unlock was preceded by a command from a mobile app or voice assistant within the last 60 seconds.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1318,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "kids_room": 14,
    "entrance": 19,
    "master_bedroom": 15,
    "dining_room": 14,
    "living_room": 15,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T16:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T18:00:00] front_door_lock | Event: Lock

## 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 indicated by the front door unlocking at 22:25 while only one room (kids_room) was recently active, followed immediately by windows being fully opened in both the kids' room and master bedroom.",
      "supported_by": [
        "[2026-06-29T22:25:19] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-29T22:25:14] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-29T22:25:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-29T21:08:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No occupancy events recorded for living_room, second_bedroom, or master_bedroom after 12:05, suggesting limited presence during the late-night window.",
        "The 'Auto' source on the unlock might indicate a scheduled automation rather than manual tampering."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are actively managing their home environment (opening windows/doors) as part of a routine evening or morning cleaning/ventilation protocol.",
      "supported_by": [
        "Multiple lock operations at specific times (16:35, 18:00) which could be standard daily routines.",
        "Window opening events occurring close together with door unlocking, possibly coordinating fresh air intake."
      ],
      "contradicted_by": [
        "The combination of an 'Auto' unlock at 22:25 followed by windows opening in *different* rooms (kids and master) simultaneously is less typical for simple ventilation unless a whole-house fan system triggered it


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

Simultaneous zero occupancy readings across all zones are caused by a systematic sensor drift or calibration offset rather than actual house evacuation, as evidenced by the perfectly synchronized timestamps and consistent temperature reporting.

Explanation: All 7 zone sensors report 'Occupancy = 0' at identical minute-intervals (12:00, 12:30, etc.), which is highly improbable for independent human movement patterns but consistent with a system-wide clock sync or firmware update affecting the polling logic.

Explanation: The temperature logs show a continuous, gradual decline (from 25°C to 24°C) over several hours without any step-changes, indicating that environmental sensors are functioning correctly and data transmission is stable, ruling out total network failure.

Explanation: The absence of any event regarding people entering/leaving or appliance usage combined with the rigid timing suggests the 'ghost' signal is a technical artifact (e.g., threshold miscalibration) rather than a security breach.

Perfect timestamp synchronization of occupancy=0 across all 7 distinct zones.

Continuous linear temperature decay in living_room_temp_sensor (2523 -> 2462) confirming active data collection.

Check smart-home hub settings for recent 'occupancy sensitivity' adjustments or automatic calibration events around 11:59.

Verify battery levels on motion sensors to rule out low-power shutdown behaviors causing false zeros.

Reset occupancy thresholds to default values if no configuration change was made manually.

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

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

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

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

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

[2026-06-06T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Verify if the 748 events include door locks, window covers, or appliance states that would be inconsistent with an empty house (e.g., dishwasher running while no one is home).

Cross-reference with video feed metadata (if available) or door lock entry/exit logs to confirm actual physical absence vs. sensor error.

Check for any 'sensor calibration' or 'reset' events occurring exactly at 12:00:00 which might explain the simultaneous state change.

## 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: 三室两厅 (3BR)
- balcony: 洗衣机<laundry_washer>, 阳台灯<onoff_light>, 阳台门传感器<contact_sensor>
- dining_room: 餐厅灯<dimmable_light>, 餐厅运动传感器<occupancy_sensor>
- entrance: 入户门传感器<contact_sensor>, 入户门锁<door_lock>, 玄关灯<onoff_light>, 玄关运动传感器<occupancy_sensor>
- kids_room: 儿童房温度传感器<temperature_sensor>, 儿童房灯<dimmable_light>, 儿童房窗帘<window_covering>, 儿童房窗户传感器<contact_sensor>, 儿童房运动传感器<occupancy_sensor>
- kitchen: 厨房温度传感器<temperature_sensor>, 厨房漏水传感器<water_leak_detector>, 厨房灯<onoff_light>, 厨房灶具<cook_surface>, 厨房烟雾报警器<smoke_co_alarm>, 厨房窗户传感器<contact_sensor>, 洗碗机<dishwasher>
- living_room: 客厅主灯<dimmable_light>, 客厅副灯<dimmable_light>, 客厅氛围灯<onoff_light>, 客厅温度传感器<temperature_sensor>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘1<window_covering>, 客厅窗户传感器1<contact_sensor>, 客厅窗户传感器2<contact_sensor>, 客厅运动传感器<occupancy_sensor>
- master_bathroom: 主卫漏水传感器<water_leak_detector>, 主卫灯<onoff_light>, 主卫运动传感器<occupancy_sensor>
- master_bedroom: 主卧床头灯<onoff_light>, 主卧温度传感器<temperature_sensor>, 主卧灯<dimmable_light>, 主卧空调<air_conditioner>, 主卧窗帘<window_covering>, 主卧窗户传感器<contact_sensor>, 主卧运动传感器<occupancy_sensor>
- second_bathroom: 次卫漏水传感器<water_leak_detector>, 次卫灯<onoff_light>
- second_bedroom: 次卧灯<dimmable_light>, 次卧空调<air_conditioner>, 次卧窗帘<window_covering>, 次卧窗户传感器<contact_sensor>, 次卧运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 748,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2

## 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": "Complete house evacuation (Ghost House Scenario): All occupancy sensors across every monitored room and the entrance simultaneously report '0' at regular intervals, suggesting no human presence despite high system event counts.",
      "supported_by": [
        "suspicious_signals: At 12:00, 12:30, and 13:00, all listed rooms (living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, entrance) report OccupancySensing.Occupancy = 0.",
        "room_activity: High activity counts in kitchen (9), living_room (17), and other areas suggest devices are active, yet people are absent."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor Failure or Synchronization Desync: All motion sensors failed to detect movement or synchronized incorrectly to a null state, while device events continue normally.",
      "supported_by": [
        "suspicious_signals: Simultaneous zero readings from diverse sensor types (motion detectors) across multiple floors/zones.",
        "event_count: 748 total events indicate the network is alive and transmitting data, not offline."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous occupancy=0 across ALL residential zones (bedrooms, bathrooms, living/dining, entrance) at identical timestamps.",
    "High frequency of specific focus events (78) during a period where the home appears completely unoccupied."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw `occupancy_sensor` logs for signal strength (RSSI) or battery voltage to rule out sensor dead batteries causing silent failures.",
    "Verify if the 748 events include door locks, window