No anomaly detected; the sequence of events corresponds to a routine evening departure where windows were opened for ventilation and the door was unlocked automatically as the resident left.

Explanation: Occupancy logs show residents present in key rooms (Master Bedroom, Kids Room) at 21:05 and 22:19, indicating no unauthorized entry or empty-house breach.

Explanation: The window opening events at 21:05 and 22:19 occurred while occupants were still inside, consistent with opening windows for fresh air before leaving.

Explanation: Crucially, the front door unlock event at 22:19:19 has an 'OperationSource' of 'Auto', which typically signifies the security system disarming upon detecting the primary occupant exiting via the contact sensor, rather than manual tampering.

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

[2026-06-19T22:19:18] front_door_contact | BooleanState.StateValue = True

Continue monitoring standard occupancy and lock status patterns.

Verify user preference settings to ensure the 'Auto' unlock feature is intended behavior for the current household routine.

[2026-06-19T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T16:24:00] front_door_lock | DoorLock.LockState = 2

[2026-06-19T18:09:00] front_door_lock | DoorLock.LockState = 2

Verify the 'OperationSource' for the Front Door Lock unlock event at 22:19:19; is it Manual (user present?) or Auto (security system disarming)?

Cross-reference the timestamp sequence: Did anyone report being inside the house between 21:05 and 22:19? Were there any motion sensor triggers in the hallway or living room leading up to the door unlock?

Confirm the definition of LiftPercent100ths=10000 for the specific window covering brand (Open vs. Closed).

## 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": 1440,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 10,
    "master_bedroom": 14,
    "kids_room": 11,
    "entrance": 19,
    "master_bathroom": 11,
    "dining_room": 11,
    "living_room": 11,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T16:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T18:09:00] 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 break-in attempt detected via synchronized window and door events.",
      "supported_by": [
        "[2026-06-19T21:05:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully open)",
        "[2026-06-19T22:19:13] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully open)",
        "[2026-06-19T22:19:19] front_door_lock | DoorLock.LockState = 1 (Door unlocked immediately after windows opened)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine involving children's room preparation and bedtime.",
      "supported_by": [
        "High occupancy in kids_room (11 events) and dining_room/living_room during daytime hours",
        "Children's room curtains/window covering adjusted at 21:05, potentially closing for sleep"
      ],
      "contradicted_by": [
        "WindowCovering value of 10000 typically indicates 100% lift (open), which is inconsistent with 'closing for sleep' unless the sensor logic is inverted or it was opened by accident."
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-19T21:05:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-19T22:19:13] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-19T22:19:19] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the Kids Room and Master Bedroom window opening events were triggered by manual user commands (app/voice) or automated schedules vs. physical force/tamper alerts.",
    "Verify the 'OperationSour


All occupancy sensors have frozen at zero for over four hours while environmental temperature sensors continue to report normal variations, indicating a complete software or communication failure of the occupancy node cluster rather than physical evacuation.

Explanation: Occupancy sensors reported '0' simultaneously across all rooms starting at 18:00 and persisted through 22:00 without any transition back to non-zero values.

Explanation: Temperature sensors continued to log data with normal fluctuations (e.g., kitchen_temp_sensor changing from 2334 to 2256) throughout the same period, proving the network was active and devices were online.

Explanation: The lack of any activity logs for lights or appliances after 18:00 is consistent with a 'ghost house' scenario only if residents left; however, combined with the simultaneous sensor freeze, it strongly suggests the sensors are stuck in an 'empty' state due to a firmware bug or broadcast error.

Simultaneous 'Occupancy=0' reports for every room starting exactly at 18:00:00.

Continuous temperature readings between 18:00 and 22:00 demonstrating system uptime and connectivity.

No evidence of door/window contact changes or appliance usage that would occur during a real evacuation within this timeframe.

Immediately reboot the central hub or the specific occupancy sensor nodes to reset their state machines.

Check system logs for firmware update events or NACK errors occurring around 17:59-18:00.

Perform a manual site check to confirm no one is physically present (if safety permits) or assume presence until sensors recover.

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

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

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

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

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

[2026-06-06T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Search for any 'device_status_change', 'firmware_update_start', or 'command_broadcast' events occurring at 17:59:45 - 18:00:00.

Check raw telemetry values (RSSI/SNR) for occupancy sensors to distinguish between 'no signal detected' (off-line) vs. 'signal received but no motion' (offline).

Verify if light switches or appliance controls (kitchen/dining/living) were active after 18:00 to rule out total house vacancy.

Cross-reference with contact sensors on doors/windows to confirm if they transitioned from 'open' to 'closed' around the same time as occupancy dropped.

## 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": 376,
  "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": [
    "[2026-06-06T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[20

## 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": "Total house evacuation (Ghost House Scenario): All occupied rooms report zero occupancy simultaneously across multiple time points, suggesting all residents have left the premises.",
      "supported_by": ["suspicious_signals shows Occupancy=0 for living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, and entrance at 18:00, 18:30, and 19:00"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled Maintenance or System Reset: A global sensor reset occurred where all motion sensors were temporarily disabled or reported a default 'empty' state during a maintenance window.",
      "supported_by": ["The simultaneous nature of the event across every single room could indicate a system-wide broadcast command rather than physical absence."],
      "contradicted_by": ["No corresponding events in 'focus_event_count' or 'salient_event_count' explicitly mentioning a 'system_reset', 'firmware_update', or 'sensor_disable' action."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Sensor Malfunction/Calibration Error: All motion sensors in the house failed to detect movement due to a calibration error, power surge, or firmware glitch affecting the specific node type.",
      "supported_by": ["Identical timestamp (within seconds) and identical value (0) for dozens of independent sensors suggests a common failure mode rather than organic behavior."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-06T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-06T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-0


A coordinated sequence of sealing private rooms and locking the front door occurred while occupants were still detected in common areas, deviating from standard evening routines.

Explanation: Occupancy logs show residents were active in living spaces (dining, entrance) until at least 18:47, with no significant gap before 20:50.

Explanation: The kids_room window closed automatically at 20:50, creating a ~2.5 hour gap between the last known occupancy of that room and the event, which is unusual for a settling-in routine.

Explanation: At 22:30, the master_bedroom window and front door locked simultaneously; critically, the log shows an occupancy event in master_bedroom just 6 seconds prior to the lock (22:30:25 vs 22:30:35), suggesting the room was sealed while someone might have been inside or immediately upon their departure.

Explanation: The 'Auto' source on the lock combined with manual-style timing of window closures suggests either a complex automation trigger based on false sensor data or an anomalous user behavior pattern not typical of standard 'Away Mode' activation.

[2026-06-09T18:47:09] kids_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T22:30:35] front_door_lock | Event: LockOperation(... OperationSource=Auto)

Verify if an 'Away Mode' scene was manually triggered by a user around 20:50 or 22:30 via smartphone app or voice command.

Review camera footage for the front door and windows between 20:50 and 22:30 to rule out unauthorized entry attempts or forced closure.

Check smart home automation rules to see if any condition (e.g., specific temperature thresholds or incorrect sensor readings) could have falsely triggered the 'Auto' lock command.

[2026-06-09T17:55:09] dining_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T17:56:03] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T17:57:09] kids_room_occupancy | OccupancySensing.Occupancy = 1

Time delta between last master_bedroom occupancy (18:08) and window closure (22:30) is ~4 hours, yet the room was sealed off.

Front door locked automatically (Auto source) exactly at the same timestamp as window closures in private quarters.

No explicit 'Away Mode' trigger event recorded in suspicious signals, relying on inferred state changes.

Check if 'WindowCovering' events for kids_room and master_bedroom were manual user commands or automated triggers linked to a scene.

Verify the 'Auto' operation source for front_door_lock: Was it triggered by an automation rule (e.g., 'If all people leave' or 'At 22:30') or a sensor detection?

Review motion sensor history between 18:10 and 22:30 to see if anyone returned to the house after the initial settlement.

Check kitchen and laundry logs to confirm no water usage occurred during the gap between 18:08 and 22:30 that might explain delayed window closing.

## 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": 696,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 15,
    "dining_room": 11,
    "living_room": 22,
    "entrance": 14,
    "kids_room": 12,
    "master_bedroom": 13,
    "second_bedroom": 2,
    "master_bathroom": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T22:30:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T20:50:08] 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": "Simultaneous or near-simultaneous locking of the front door and closing of windows in private rooms (kids_room, master_bedroom) while occupancy is detected in multiple other areas suggests either a coordinated 'away' mode activation without proper sequence, or potential forced entry/clearing activity followed by immediate sealing.",
      "supported_by": [
        "[2026-06-09T22:30:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-09T22:30:35] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-09T22:30:25] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-09T20:50:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The household members are finishing up evening activities, moving between rooms (dining, living, entrance), settling into bedrooms, and then collectively securing the home before going to sleep or leaving.",
      "supported_by": [
        "Sequential occupancy events from 17:55 to 18:08 showing movement across all major living spaces.",
        "Occupancy drop in second_bedroom at 18:00 consistent with earlier departure or different schedule."
      ],
      "contradicted_by": [
        "The tight temporal clustering of window closure (20:50, 22:30) and door lock (22:30) occurring after significant gaps in occupancy logs for those specific rooms (last seen 18:08 for master_bedroom)."
      ]
    }
  ],
  "most_concerning_signals": [
    "Time delta between last master_bedroom occupancy (18:08) and window closure (22:30) is ~4 hours, ye


No security threat detected; all observed events correspond to standard resident behavior and automated system functions.

Explanation: Front door manual unlocks at 15:58 and 17:59 were immediately followed by contact sensor state changes (False), confirming legitimate residents opened the door from inside.

Explanation: The event at 22:26:32 shows an 'Auto' source unlocking the door with LockState=1 (locked), which is a normal automation routine (e.g., arming/disarming or auto-lock cycle) rather than an intrusion attempt.

Explanation: Window covering adjustments in the kids' room and master bedroom occurred during times of confirmed occupancy (entrance/kids_room lights on later), consistent with residents adjusting privacy settings before bed.

[2026-06-11T15:58:02] front_door_contact | BooleanState.StateValue = False

[2026-06-11T17:59:02] front_door_contact | BooleanState.StateValue = False

[2026-06-11T22:26:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

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

[2026-06-11T17:59:00] front_door_lock | DoorLock.LockState = 2

[2026-06-11T22:26:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Front door manually unlocked twice in late afternoon/early evening without corresponding occupancy confirmation in public areas first.

Correlation between 'kids_room_window' and 'master_bedroom_window' status changes (100%) immediately preceding the front door being unlocked (LockState=1).

High frequency of manual lock operations at unusual times (15:58, 17:59) compared to standard evening routines.

Check if any smart lock events occurred on the front door prior to 15:58 that were not logged as 'Manual' (e.g., auto-unlock via phone app).

Verify camera footage or light states for the hallway/entrance between 15:58 and 17:59 to see who entered/exited.

Cross-reference 'kids_room_window' actuation with power usage of nearby devices to determine if it was automated or manual interaction.

Check if the 'front_door_contact_sensor' triggered an event when the door was opened at 15:58 or 17:59.

## 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": 1320,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 15,
    "kids_room": 16,
    "entrance": 22,
    "dining_room": 11,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T17:59:00] 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": "Intruder attempted entry via front door (manual unlock) but was detected by the motion sensor in the kids' room, suggesting an intruder path through the entrance/dining area into a private bedroom.",
      "supported_by": [
        "[2026-06-11T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-11T17:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-11T22:26:32] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents arrived home between 11:55 and 12:05, moving from entrance to dining/living/kids/master bedrooms in a logical sequence consistent with family arrival.",
      "supported_by": [
        "[2026-06-11T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T11:57:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T11:58:28] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-11T12:02:00] kids_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential unauthorized access or disturbance in children's privacy zones indicated by sudden window covering adjustments (100% open/close) occurring shortly before the front door lock state changed to unlocked.",
      "supported_by": [
        "[2026-06-11T21:14:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",


The sequence of events indicates a normal automated routine (likely evening preparation for bed or movie time) rather than an intrusion, as occupancy sensors confirmed residents were present and the door was physically closed immediately after unlocking.

Explanation: Occupancy logs at 22:47 show the master bedroom still occupied (1), contradicting the theory that the home is empty or breached by an outsider.

Explanation: The front door contact sensor registered 'True' (closed) at 22:47:23, just one second before the lock command executed, proving the door was not left ajar.

Explanation: The unlock event occurred via 'Auto' source shortly after lights went off in the bedrooms (21:08 and 22:47), consistent with a scheduled automation scene for closing windows/doors before sleep, not a forced entry.

[2026-06-16T22:47:22] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-16T22:47:23] front_door_contact | BooleanState.StateValue = True

Review the automation schedule to confirm the 'Auto' unlock at 22:47 was part of a planned routine (e.g., 'Goodnight' or 'Movie Mode').

No immediate security response required; verify the system status in the morning.

[2026-06-16T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-16T16:17:00] front_door_lock | DoorLock.LockState = 2

[2026-06-16T18:06:00] front_door_lock | DoorLock.LockState = 2

Front door lock state transition from Locked (2) to Unlocked (1) via Auto source immediately following the window opening sequence.

Raw sensor data for 'entrance_occupancy' and 'living_room_occupancy' between 22:45:00 and 23:00:00 to confirm if anyone entered.

History of 'front_door_contact_sensor' to verify physical door state vs. lock motor state.

Command logs for window_coverings to determine if the 100% open position was triggered by a user command, automation scene, or external force (if supported).

Access log for the 'front_door_lock' to distinguish between local manual unlock and remote/auto trigger.

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

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

## Layout
Layout: 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": 1317,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 17,
    "entrance": 21,
    "kids_room": 14,
    "dining_room": 12,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T18:06:00] 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": "Suspected unauthorized entry or breach of residence security: Front door was manually unlocked (State=1) at 22:47 after being locked, coinciding with windows in Kids Room and Master Bedroom opening to 100%.",
      "supported_by": [
        "[2026-06-16T22:47:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-16T22:47:24] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-16T22:47:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-16T21:08:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No explicit occupancy detection events logged for living_room or entrance after 22:47 in the provided snippet."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled home departure routine initiated earlier in the day (approx. 11:55 - 12:00), characterized by occupants leaving private rooms and gathering at the entrance.",
      "supported_by": [
        "[2026-06-16T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-16T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-16T12:02:25] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-16T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous unlocking of front door (22:47:24) and full opening of bedroom windows (22:47:20/21:08).",
    "Front door lock state transition from Locked (2) to Unlocked (1) via Auto sourc


The observed patterns are consistent with normal household activities involving multiple residents, automated locking sequences, and environmental sensor fluctuations.

Explanation: The repeated occupancy spikes across all rooms (e.g., at 11:55, 12:02, 12:31) show a staggered pattern where individual rooms turn occupied and then off within seconds, followed by the next room activating. This 'staggered wave' is characteristic of people moving sequentially through a house rather than simultaneous presence in every room at once.

Explanation: The manual door unlock events (16:07, 18:13) occurred during daylight hours when occupancy was detected inside or immediately after entry, which aligns with authorized residents entering or exiting, not unauthorized intrusion attempts.

Explanation: The late-night curtain opening (20:50, 22:13) coincided with an automatic door lock event (22:13), suggesting a scheduled 'goodnight' routine where curtains were opened to let morning light in or for ventilation before the system locked up, rather than an indicator of forced entry.

Occupancy logs show staggered activation times between different rooms (e.g., entrance at 11:55, master_bedroom at 11:56, kids_room at 11:57) indicating movement flow.

Door lock operations at 16:07 and 18:13 occurred during active occupancy periods or immediately following entry, consistent with user behavior.

No contradictory evidence found regarding window states; no forced entry indicators like alarm triggers or broken contact sensors were present.

Monitor temperature sensors if values continue to fluctuate widely beyond normal HVAC cycles.

Verify that the automated lighting/curtain schedule matches the homeowner's intended daily routine.

[2026-06-04T16:07:00] front_door_lock | DoorLock.LockState = 2

[2026-06-04T18:13:00] front_door_lock | DoorLock.LockState = 2

[2026-06-04T22:13:18] front_door_lock | DoorLock.LockState = 1

The occupancy spike between 11:55 and 12:05 could represent a family gathering or multiple residents returning home simultaneously during lunchtime.

The subsequent return to zero occupancy in living_room and second_bedroom at 12:00 contradicts continuous multi-room occupancy unless there is no sensor coverage or specific room isolation logic.

Multiple distinct manual unlock events (16:07, 18:13) without corresponding motion data in other areas immediately following.

Late-night curtain opening (20:50, 22:13) coinciding with automatic locking.

High-frequency occupancy toggling suggesting potential sensor noise or rapid human movement in a short timeframe.

Check raw motion sensor logs around 11:55-12:05 to verify if the 'occupancy' flags are due to actual human presence or sensor calibration errors (e.g., pets, sunlight).

Correlate the manual lock/unlock timestamps with user authentication logs (mobile app usage, key fob ID) to confirm authorized access vs. forced entry.

Verify the state of window sensors at the times of curtain opening to ensure windows were physically closed when curtains were raised.

Review lighting logs for the master_bedroom and kids_room to see if lights turned on/off correlating with the occupancy spikes.

## 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": 1439,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 11,
    "entrance": 18,
    "master_bedroom": 13,
    "kids_room": 12,
    "master_bathroom": 11,
    "dining_room": 10,
    "living_room": 12,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-04T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-04T18:13:00] 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": "Simultaneous presence of occupants across all rooms (entrance, master_bedroom, kids_room, master_bathroom, dining_room) within a 2-minute window suggests either an unusually large household or synchronized movement that is atypical for standard residential patterns.",
      "supported_by": ["[2026-06-04T11:55:27] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-04T11:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-04T11:57:00] kids_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-04T11:58:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-04T11:58:05] dining_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Rapid sequence of manual door unlocks (16:07, 18:13) followed by an automatic lock at night (22:13), combined with lights/curtains opening late in the day, may indicate unauthorized entry attempts or delayed departure from the premises.",
      "supported_by": ["[2026-06-04T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-04T18:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-04T22:13:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-04T20:50:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-04T22:13:12] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "The occupancy spike between 11


{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "No anomaly detected; observed patterns align with normal resident behavior including a glitchy auto-lock routine and children opening windows.",
  "reasoning": [
      "The rapid Manual Unlock followed by Auto Lock at 07:14 is explained by the door contact sensor toggling (Open->Closed) within seconds, indicating the door was physically closed by someone present who then triggered an automatic lock cycle or the system corrected a state mismatch.",
      "Multiple manual locks during the day correspond to occupancy spikes in the dining room (16:32) and second bedroom (18:00), consistent with residents securing the home upon returning from errands or school rather than intrusion attempts.",
      "Window openings in the kids' room and master bedroom occurred immediately after occupancy sensors detected presence in those specific rooms (21:09 and 22:47 respectively), ruling out unauthorized entry and confirming internal user action."
    ],
  "key_evidence": [
      "[2026-06-19T07:14:27] front_door_contact | BooleanState.StateValue = False" + " & " + "[2026-06-19T07:14:28] front_door_contact | BooleanState.StateValue = True",
      "[2026-06-19T21:09:10] kids_room_occupancy | OccupancySensing.Occupancy = 1" + " shortly before " + "[2026-06-19T21:09:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
      "[2026-06-19T16:32:04] dining_room_occupancy | OccupancySensing.Occupancy = 1" + " preceding manual door lock events"
    ],
  "recommended_actions": [
      "Review smart lock firmware settings to ensure 'Auto-Lock' does not trigger on immediate manual unlock/close sequences if this causes user confusion.",
      "Monitor window cover actuator logs for future occurrences of rapid opening/closing cycles to distinguish between user habits and mechanical faults."
    ]
}

[2026-06-19T16:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T06:41:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-19T07:14:25] front_door_lock | DoorLock.LockState = 2

[2026-06-19T07:14:29] front_door_lock | DoorLock.LockState = 1

Window covering anomalies: Kids' room window fully closed at 07:14, but fully open at 21:09. Master bedroom window also opened at 22:47. This contradicts typical sleeping habits where windows are often secured or partially closed.

[2026-06-19T22:47:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Front door lock transition from Manual Unlock (07:14:25) to Auto Lock (07:14:29) within 4 seconds without an explicit sensor trigger log for that specific auto-event.

Kids' room window state changed from Closed (0%) to Open (100%) roughly 14 hours apart, while occupancy sensors show 0 occupancy at midnight but do not explicitly confirm who opened it.

Multiple manual locking events on the front door during daylight hours (16:34, 18:01) which is less common unless there was a perceived threat or repeated failed access attempts.

Raw motion sensor logs for the entrance hallway around 07:14 to see if a person triggered the 'Auto' lock logic or if it was a scheduled task.

Door contact sensor logs at 07:14:25 and 07:14:29 to verify the physical state transition (Open -> Closed) matches the lock command timestamps exactly.

Window cover motor power consumption or status logs between 07:14 and 21:09 to determine if the window opening was gradual or instantaneous, and who initiated it.

Audio logs or camera feeds (if available) for the entrance area between 16:30 and 18:00 to check for loitering or repeated tapping on the door corresponding to the manual lock events.

## 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": 2463,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 8,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:14:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:14:29] 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 attempt or tailgating incident: Front door was manually unlocked at 07:14, locked automatically 4 minutes later (likely by a smart lock routine), then re-locked manually multiple times during the day, and finally locked automatically late at night.",
      "supported_by": [
        "[2026-06-19T07:14:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T07:14:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T22:47:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily schedule with occupants leaving for work/school in the morning and returning/locking up at night.",
      "supported_by": [
        "Morning sequence of manual unlock -> auto lock suggests keyless exit or system correction.",
        "Evening manual locks followed by final auto lock suggest residents securing the home before sleep."
      ],
      "contradicted_by": [
        "The specific timing of the 07:14 Auto-lock immediately after Manual Unlock is unusual if no one is physically present to trigger an 'auto' routine without a sensor event, suggesting a potential glitch or forced state change.",
        "High frequency of manual interventions (3x) compared to typical patterns might indicate hesitation or repeated access attempts."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Win


The sequence of events indicates a resident opening windows for ventilation or sleep comfort and subsequently locking the door automatically upon entry, consistent with normal household behavior despite the absence of motion sensor data in specific rooms during the window-opening moments.

Explanation: The 'Auto' source tag on the front door unlock at 22:15:23 confirms the system detected an occupant entering (triggered by the front_door_contact change), validating legitimate presence rather than an external intrusion.

Explanation: Opening windows (kids_room at 20:48, master_bedroom at 22:15) immediately before the auto-unlock is a common routine for airing out rooms or preparing for bed, not necessarily a coordinated attack.

Explanation: While occupancy sensors were inactive in those specific rooms at the exact moment of window opening, this can occur if residents are stationary near the window or if PIR sensors have blind spots; it does not definitively prove remote manipulation given the successful subsequent auto-lock.

[2026-06-30T22:15:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T22:15:22] front_door_contact | BooleanState.StateValue = True

Monitor the pattern over the next 24 hours to see if similar sequences occur without occupants being physically present.

Verify that PIR sensors in the kids_room and master_bedroom are calibrated correctly and not suffering from intermittent failures.

[2026-06-30T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T16:05:00] front_door_lock | DoorLock.LockState = 2

[2026-06-30T17:57:00] front_door_lock | DoorLock.LockState = 2

Absence of occupancy data in Living Room and Second Bedroom during the window opening events, suggesting windows may have been opened remotely or by an intruder without triggering motion detection.

Check command origin/source for WindowCovering actuators in kids_room and master_bedroom around 20:48 and 22:15 to determine if manual app control, voice command, or automated routine triggered them.

Verify if any camera feeds or PIR sensors were bypassed or disabled during the 20:48-22:15 window.

Cross-reference network logs to see if the unlock command at 22:15:23 came from an external IP address or a known device.

## 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,
    "master_bedroom": 16,
    "kids_room": 15,
    "dining_room": 13,
    "entrance": 19,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T17:57:00] 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": "Coordinated window opening and front door unlocking sequence suggests unauthorized entry or simulated presence attack.",
      "supported_by": [
        "[2026-06-30T20:48:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-30T22:15:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-30T22:15:23] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "Occupancy sensors show no activity in living room, second bedroom, or bathrooms during the window/lock events (e.g., 20:48-22:15 range)."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household members returning home after a day of normal activity.",
      "supported_by": [
        "Multiple manual lock operations at 16:05 and 17:57 followed by occupancy changes.",
        "High activity counts in kitchen, dining, and entrance rooms.",
        "Front door unlocked automatically at 22:15 after being locked."
      ],
      "contradicted_by": [
        "Simultaneous window openings in two different private rooms (kids_room and master_bedroom) occurring before the final unlock event, which is inconsistent with standard locking-up routines unless residents are leaving open windows while outside, but combined with the specific timing near the unlock, it raises suspicion."
      ]
    }
  ],
  "most_concerning_signals": [
    "Sequence of Kids Room window fully opened (20:48), Master Bedroom window fully opened (22:15:16), immediately followed by Front Door Lock State change to Unlocked (22:15:23).",
    "Absence of occupancy data in Living Room and Second Bedroom during the window opening eve


The door unlock event at 22:29 is a pre-programmed automated security routine triggered by internal occupancy sensors after residents have vacated the immediate exterior area, not an unauthorized entry.

Explanation: Occupancy logs show living room and master bedroom activity immediately preceding the 22:29 unlock (22:29:08), indicating a resident was present inside to trigger the 'Auto' logic.

Explanation: The front door contact sensor registered as open (True) at 22:29:21 just before the lock state changed to unlocked (1), confirming the system detected the door was already open or being approached from the outside in a controlled manner (e.g., key fob proximity or scheduled return).

Explanation: The sequence of closing windows (21:07-22:29) followed by the door unlock suggests a standard 'Arming/Disarming' or 'Return Home' automation profile rather than forced entry.

[2026-06-17T22:29:08] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-17T22:29:21] front_door_contact | BooleanState.StateValue = True

Verify the smart-home automation schedule for 'Auto Unlock' to confirm it aligns with expected family routines.

Review camera footage around 22:29 if available solely to visually confirm the source of the unlock command was internal.

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

[2026-06-17T18:19:00] front_door_lock | DoorLock.LockState = 2

[2026-06-17T21:07:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-17T22:29:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Routine household activity during daytime hours involving cooking, dining, and children's room usage, consistent with a family presence pattern.

Room activity counts show moderate engagement in Kitchen (12), Dining (13), Master Bed (15), Kids (15).

Sequential occupancy triggers in multiple rooms between 11:58 and 12:06.

The specific timing of the Auto-unlock event at 22:29 which contradicts standard passive behavior if no one was present to trigger it manually.

Living room vacancy while other private quarters are occupied suggests unusual internal movement patterns.

Check for motion sensor activations near the front door corridor or hallway immediately preceding the 22:29:22 Auto-unlock event to determine if an entity triggered the unlock logic.

Verify the definition of OperationType=0 and Source=Auto for the front door lock; confirm if this is a programmed schedule, a remote app command logged elsewhere, or a sensor-triggered mechanism (e.g., key fob proximity that wasn't logged as Manual).

Cross-reference camera feeds or smart plug data for kitchen/living room appliances at 22:29 to see if lights/appliances were active when the door unlocked automatically.

Check the timestamp difference between the Kids Room window closing (21:07) and the Master Bedroom window closing (22:29) to understand the sequence of securing windows versus unlocking the door.

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

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

## Layout
Layout: 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": 1316,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "dining_room": 13,
    "master_bedroom": 15,
    "kids_room": 15,
    "entrance": 20,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T18:19:00] 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 forced re-entry scenario: The front door was manually locked at 15:57 and again at 18:19. Approximately 40 minutes later, the lock state changed to 'Unlocked' (State=1) via an 'Auto' source at 22:29:22, while occupancy sensors in multiple rooms (Kids, Master Bed, Entrance) registered activity around this time window.",
      "supported_by": [
        "[2026-06-17T15:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T22:29:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-17T22:29:22] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent occupant distribution suggesting potential egress through non-primary routes or hidden occupants: Occupancy sensors in Dining Room, Master Bedroom, Kids Room, and Entrance all triggered simultaneously between 11:58 and 12:03, yet the Living Room occupancy sensor reported 'Empty' (0) at 12:00:00 and Second Bedroom/Second Bathroom remained empty throughout.",
      "supported_by": [
        "[2026-06-17T11:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T11:58:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "


No confirmed security breach detected; observed rapid door cycles and occupancy gaps are consistent with automated routines and scheduled activities.

Explanation: The morning incident at 07:40 shows a manual lock immediately followed by an auto-lock within seconds, but the subsequent occupancy sensor trigger in the dining room at 07:41:07 confirms normal household activity resumed shortly after, ruling out a failed entry attempt that persisted.

Explanation: The evening event at 22:19 involved the front door unlocking exactly when windows were opened, but the raw logs show master_bedroom_occupancy was active just prior (22:19:09) and lights turned off immediately after (22:19:30), indicating coordinated internal cleanup or departure rather than an external breach.

Explanation: The overnight period starting at 00:00 shows all rooms empty, which is expected behavior for a house where residents left before midnight, and no suspicious movement or forced entry indicators were found in the provided excerpts.

[2026-06-19T07:41:07] dining_room_occupancy | OccupancySensing.Occupancy = 1 (Confirms presence after morning door cycle)

[2026-06-19T22:19:09] master_bedroom_occupancy | OccupancySensing.Occupancy = 1 AND [2026-06-19T22:19:30] master_bedroom_light | OnOff.OnOff = False (Indicates internal activity during window/door events)

Review video footage around 07:40 to confirm the person exiting did not linger outside.

Verify the mechanical linkage of the kids_room and master_bedroom windows to ensure they cannot be opened from the exterior.

[2026-06-19T16:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T22:19:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

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

[2026-06-19T07:40:20] front_door_lock | DoorLock.LockState = 2

[2026-06-19T07:40:26] front_door_lock | DoorLock.LockState = 1

At 16:25 and 18:00, the door was locked manually (LockState=2). If these were exits, why no subsequent occupancy loss in living areas?

At 22:19:28, the door state changed to unlocked (LockState=1) exactly when the kids' room window was reported open. The temporal correlation suggests a potential breach point if the window is accessible from the exterior.

Master bedroom window was also opened at 22:19:22 (just before the front door unlock), suggesting coordinated internal activity (e.g., cleaning) rather than an external attack.

Front door lock manual operation followed immediately by an auto-lock event with zero occupancy confirmation in adjacent rooms (07:40:20 - 07:40:26).

Temporal alignment of multiple window openings (kids_room, master_bedroom) and the front door unlocking event occurring within a 2-minute window at 22:19.

Sudden transition of all main room occupancy sensors to '0' at 00:00:00 while some windows remain open (kids_room, master_bedroom), indicating a potential gap in security monitoring overnight.

Check camera footage or motion detection logs specifically between 07:40:20 and 07:40:30 to verify if a person actually passed through the doorway despite the lack of occupancy sensor triggers.

Verify the physical state of the kids_room and master_bedroom windows at 22:19 to determine if they were opened from the inside or outside.

Cross-reference the 16:25 and 18:00 manual lock events with resident GPS data or mobile app authentication logs to rule out forgotten doors being re-locked automatically.

Inspect the occupancy sensor calibration history to ensure false negatives did not occur during the 07:40 incident.

## 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": 2297,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 9,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:40:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:40:26] 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 tailgating incident involving the front door.",
      "supported_by": [
        "[2026-06-19T07:40:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T07:40:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T07:40:28] (Inferred) Door opened manually followed immediately by an auto-lock event within 6 seconds, suggesting a rapid cycle of unlock-open-relock without prolonged dwell time typical of normal entry/exit routines."
      ],
      "contradicted_by": [
        "No occupancy sensor trigger recorded in living_room or entrance between 07:40:20 and 07:40:30 to confirm a person physically entered the home after the manual lock attempt."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard household activity pattern during daytime hours.",
      "supported_by": [
        "High room_activity counts in kitchen (7), dining_room (9), and living_room (16) align with typical daytime usage.",
        "Window covering actions at 06:19 (close) and 21:10 (open) match a standard sleep/wake cycle for the children's room."
      ],
      "contradicted_by": [
        "The specific sequence of lock events at 07:40 does not fit a standard 'arrive and leave' profile which usually involves longer interaction times."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible intrusion bypass where the intruder locked the door from the outside or the system malfunctioned after an attempted breach.",
      "supported_by": [
        "At 16:25 and 18:00, the door was locked manually (LockState=2). If


The log shows a consistent pattern of residents returning home at 18:09, settling in various rooms, and performing normal evening routines (closing windows, auto-locking doors) without any signs of intrusion or unauthorized access.

Explanation: Occupancy sensors confirm all family members were present inside the house starting from 17:56 to 18:09, followed by continuous presence in multiple private rooms throughout the evening.

Explanation: The window closing event at 22:48:18 occurred while occupancy was confirmed in the master bedroom (1 occupant), and was immediately followed by an automatic door lock engagement, indicating a standard 'settle down for bed' sequence rather than an entry/exit anomaly.

Explanation: No conflicting data exists such as door contacts opening while locked, occupancy loss during critical times, or manual overrides triggered remotely; the timeline is coherent with typical household behavior.

[2026-06-10T22:48:13] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Continue routine monitoring; no immediate action required.

Verify smart lock geofence settings if this behavior changes significantly in future logs.

[2026-06-10T18:09:00] front_door_lock | DoorLock.LockState = 2

[2026-06-10T21:02:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-10T17:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Check if 'kids_room_window' closing at 21:02 is followed by any other window operations or if it was an isolated event.

Verify the source of the Auto lock operation at 22:48:26 (smartlock integration vs. physical tampering).

Cross-reference motion sensor logs between 22:45 and 22:55 to confirm presence in the bedroom during the window closing and door locking events.

Review access logs for the smart lock to determine if the auto-lock was triggered by a geofence exit or manual override.

## 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": 701,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 13,
    "dining_room": 11,
    "master_bedroom": 14,
    "entrance": 16,
    "kids_room": 12,
    "living_room": 19,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:48:26] 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 activity sequence involving door unlocking, window closure in multiple rooms, and occupancy detection in private areas after hours.",
      "supported_by": [
        "[2026-06-10T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-10T22:48:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-10T22:48:26] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-10T22:48:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents returning home in the evening (around 18:00) and settling down in various rooms before bed.",
      "supported_by": [
        "[2026-06-10T17:56:06] dining_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-10T17:59:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-10T18:09:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-10T18:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "[2026-06-10T22:48:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-10T22:48:26] front_door_lock | DoorLock.LockState = 1"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-10T22:48:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-10T22:48:26] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-10T22:48:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSou


Simultaneous zero occupancy readings across all rooms combined with impossible temperature values (2500+) indicate a total sensor network failure rather than house vacancy.

Explanation: Occupancy sensors report 0 for all rooms starting at 12:00:00 and persisting for hours, which is suspicious if the house was previously occupied.

Explanation: Temperature sensors report values like 2522°C and 2439°C, which are physically impossible for indoor environments and indicate a critical hardware or calibration failure.

Explanation: The combination of 'empty' motion detection and 'boiling' temperature readings rules out normal vacancy (which would show stable ambient temps) and evacuation (which wouldn't cause temp sensor overflow), pointing to a system-wide malfunction.

[2026-06-20T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2522

[2026-06-20T15:30:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2406

Immediately dispatch a technician to inspect the smart-home hub and sensor array.

Do not rely on automated security protocols until hardware is verified, as false vacuity may disable alarms.

Physically verify room status manually via video feed (if camera sensors are unaffected) or on-site inspection.

[2026-06-20T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T12:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T13:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T13:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T13:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T13:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T13:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

Scheduled Away Mode / Vacation Schedule: The entire household has left the premises, and all sensors are functioning correctly to report empty rooms.

High event counts in specific rooms (kitchen: 9, living_room: 17) suggest recent activity prior to this snapshot, but lack of 'away' confirmation state in the provided summary.

The sudden simultaneous drop at 12:00 without a corresponding door lock unlock/close sequence visible in the summary implies an abrupt change rather than a scheduled departure.

Simultaneous zero occupancy reading across ALL defined living spaces (Living Room, Dining Room, Bedrooms, Bathrooms) starting exactly at 12:00:00.

Persistence of the zero-occupancy state for at least one hour (12:00 - 13:00) with no variation, which is statistically unlikely for normal human movement patterns unless the house is truly empty.

Complete absence of occupancy events in the Entrance room after 12:00, raising the question of how occupants exited if they were present before.

Door Lock status history around 12:00:00 to confirm if doors were locked/unlocked (Exit/Entry events).

Sensor calibration logs or firmware update events to rule out a mass sensor reset/failure.

Temperature sensor readings during 12:00-13:00 to check for HVAC changes that might indicate heating/cooling while unoccupied vs. occupied.

Water leak detector and smoke alarm status to ensure no silent emergencies occurred that might have forced an evacuation.

Historical occupancy data from the minute prior to 12:00:00 to establish the baseline population count before the drop.

[2026-06-20T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T12:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T12:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-20T13:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

## 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": [
    "[2026-06-20T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-20T12:00:00] 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": "Simultaneous total house vacancy (Ghost House Event): All monitored rooms in the residence report occupancy as 0 across a sustained period, suggesting either an immediate evacuation, a sensor network failure resetting all zones, or potential unauthorized entry where motion is being masked.",
      "supported_by": [
        "[2026-06-20T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] kids_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T12:30:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T13:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-20T13:00:00] dining_room_occupancy | OccupancySensing.Occupancy


A child accessed the kids' room and opened the window early in the morning while the house was unoccupied, followed by manual front door locking events that contradict normal household routines.

Explanation: The home occupancy sensors were all '0' (empty) from 00:00 until 07:29, indicating the house was unoccupied during the incident.

Explanation: At 06:15, the kids' room light turned on and the window opened immediately after, occurring before any other sensor indicated human presence inside the house.

Explanation: The sequence of lights turning off at 07:27 coincides exactly with manual lock operations on the front door, suggesting an occupant left or attempted to secure the home after the child's activity.

Explanation: This pattern represents a significant safety deviation where a vulnerable individual (implied child) manipulated security hardware without adult supervision.

[2026-06-09T06:15:02] kids_room_light | OnOff.OnOff = True

All occupancy sensors reported 0 between 00:00 and 06:15

Contact household members immediately to confirm if children are safe and account for their whereabouts.

Review video footage from the kids' room area if available to verify the specific individual who opened the window.

Temporarily disable automatic window coverings or add geofencing alerts for the kids' room to prevent future unsupervised access.

[2026-06-09T07:27:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T22:15:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T07:27:28] front_door_lock | DoorLock.LockState = 2

[2026-06-09T07:27:32] front_door_lock | DoorLock.LockState = 1

Timestamps of all 'occupancy_sensor' triggers in kids_room and master_bedroom around 06:15 and 07:27 to confirm if someone was inside when the window opened/door locked manually.

User authentication logs for the front_door_lock to verify if the manual operations were authorized by a known household member.

Motion sensor readings in hallway/entrance between 06:15-07:30 to trace movement paths from kids_room to front_door.

## 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": 2298,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:27:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:27:32] 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": "Simultaneous window opening and door locking/unlocking pattern suggesting unauthorized entry or exit while the home was occupied.",
      "supported_by": [
        "kids_room_window opened at 06:15 (0% to 100%)",
        "front_door_lock Manual Lock/Unlock sequence at 07:27 (State 2->1)",
        "front_door_lock Manual Lock/Unlock sequence at 16:06 (State 2)",
        "front_door_lock Manual Lock/Unlock sequence at 17:43 (State 2)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine morning departure and evening arrival routine with automated door locking.",
      "supported_by": [
        "Auto-lock event at 07:27:32 shortly after manual lock attempt",
        "Auto-unlock event at 22:15:27 matching typical return time",
        "High occupancy counts in living, dining, entrance areas during day"
      ],
      "contradicted_by": [
        "Manual lock operations occurring without corresponding occupancy changes in some logs",
        "Kids room window opening early morning before typical wake-up if parents are present"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-09T06:15:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-09T07:27:28] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T16:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T17:43:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of all 'occupancy_sensor' triggers in kids_room and master_bedroom around 06:15


No security anomalies detected; observed door unlock events correspond to legitimate manual unlocking followed by automatic re-locking, and window state changes correlate with occupancy.

Explanation: The rapid front-door unlock at 07:22:26 was immediately followed by the door contact sensor opening (False) and then closing (True) within seconds, indicating a physical person opened and closed the door before it auto-locked, rather than an intrusion attempt where the door remained open or forced ajar.

Explanation: Occupancy logs confirm residents were present in the house during the 07:22 event (kids room lights on/off sequence around 06:48-07:22), validating that the door interaction was part of normal household activity.

Explanation: The children's room window opening at 20:54 is directly corroborated by the `kids_room_occupancy = 1` log entry at 20:54:08, disproving the hypothesis of unauthorized access from outside.

[2026-06-26T07:22:28] front_door_contact | BooleanState.StateValue = False

[2026-06-26T07:22:32] front_door_contact | BooleanState.StateValue = True

[2026-06-26T20:54:08] kids_room_occupancy | OccupancySensing.Occupancy = 1

Continue standard monitoring; no immediate action required.

Verify that the 'Auto' lock source at 07:22:33 is functioning as intended for convenience exit/entry routines.

[2026-06-26T16:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T17:40:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T22:19:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T06:48:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

Standard nightly routine where all residents have vacated the house by midnight, evidenced by zero occupancy across all monitored bedrooms and common areas starting exactly at 00:00:00.

[2026-06-26T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-26T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-26T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-26T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-26T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-26T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-26T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Rapid manual unlock followed by auto-lock of the front door at 07:22:26-07:22:33

Front door lock state change to 'Unlocked' (1) at 07:22:26 immediately preceding an Auto-lock operation

Children's room window covering set to 100% (fully open) at 20:54 with no concurrent occupancy detection

Timestamps and duration of door handle interaction vs. motorized actuation logs for the front door at 07:22 to determine if the door was physically opened before locking.

Motion sensor raw data (IR/PIR signatures) in the hallway/entrance area between 07:22 and 07:25 to verify if anyone entered/exited.

Access control logs for the front door lock to check if the 'Auto' source at 07:22:33 was a valid internal trigger (e.g., app command) or a system glitch.

Window contact sensor logs for the kids_room_window specifically around 20:54 to confirm if the physical window was actually breached or just opened.

## 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": 2464,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 15,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:22:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:22:33] 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 unauthorized entry or forced entry event indicated by a sequence of manual door unlocks, immediate re-locks, and subsequent lock state changes without corresponding occupancy events in the main living areas during the transition period.",
      "supported_by": [
        "[2026-06-26T07:22:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-26T07:22:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-26T07:22:26] front_door_lock | DoorLock.LockState = 2 (Locked) -> 1 (Unlocked) within 7 seconds",
        "[2026-06-26T07:22:33] front_door_lock | DoorLock.LockState = 1 (Unlocked) -> 2 (Locked) immediately after"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent window/curtain states relative to room occupancy. Children's room curtains are fully open (100%) at 20:54 while no occupancy is recorded in the kids_room or nearby dining/living rooms shortly thereafter, suggesting potential window manipulation from outside or sensor failure.",
      "supported_by": [
        "[2026-06-26T20:54:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "Absence of occupancy signal in kids_room_occupancy between 20:54 and 22:19"
      ],
      "contradicted_by": [
        "High activity count for kids_room (15) suggests normal usage patterns earlier in the day"
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard nightly routine where all residents have vacated the house by midnight, evidenced by zero occupancy across all monitored bedrooms and commo