路径是 儿童房→卫生间→儿童房，直来直去没有去其他地方，持续时间短

Evidence strongly suggests a forced entry at 17:57 where the front door was locked manually but immediately opened without an unlock command, followed by occupancy detection inside.

Explanation: At 17:57:00, the front door lock state changed to 'Locked' (State=2) via manual operation.

Explanation: Exactly 2 seconds later at 17:57:02, the door contact sensor triggered 'Open' (False), indicating physical opening despite the locked status.

Explanation: No 'Unlock' event or command source is logged between the locking and opening events, suggesting bypassed or forced mechanisms rather than authorized entry.

Explanation: Occupancy sensors in the entrance and living room activated immediately after the door opened, confirming someone entered the premises.

Explanation: The subsequent window openings at 22:43 are consistent with residents settling in for sleep after being home all evening, not necessarily a secondary anomaly.

[2026-06-29T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1...)

Absence of Unlock log between 17:57:00 and 17:57:02

[2026-06-29T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Immediately verify physical security status of the front door and surrounding area.

Review video footage from the front door camera (if available) between 17:57:00 and 17:57:05 to identify the intruder method.

Check if any items are missing or disturbed inside the residence.

Alert local law enforcement if forced entry signs are confirmed upon inspection.

[2026-06-29T22:43:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T17:57:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T21:03:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-29T17:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-29T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Occupancy spread across kitchen, dining, and living rooms between 17:55-18:10 suggests active household use.

Window openings at 22:43 could be intentional by residents present (Master Bed/Kids Room occupants).

The specific timing of window openings (simultaneous full lift) combined with the immediate prior door breach event creates a suspicious correlation that contradicts purely random normal behavior.

Front door contact state changed to False (open) right after being locked manually, without an explicit 'unlock' operation log between 17:57:02 and 17:57:03.

Gap between Manual Lock (17:57:00) and Door Open/Contact False (17:57:02) without an Unlock command logged.

Simultaneous full-opening of two separate bedroom windows (Kids & Master) at 22:43:20-21, occurring after the house was seemingly secured or settled.

High concentration of focus events in Entrance (17) and Living Room (19) relative to other rooms, indicating high traffic flow during the incident window.

Timestamps and user IDs associated with the 'Unlock' operation if it exists implicitly in the lock state change.

Audio logs or alarm triggers from the front door sensor or motion sensors specifically around 17:57:00-17:57:05.

Specific user accounts linked to the window covering actuators at 22:43:20 and 22:43:21 to determine if it was a remote command or local physical action.

Motion sensor data trajectory to see if someone entered the house immediately after the door contact turned false.

## 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": 707,
  "salient_event_count": 60,
  "focus_event_count": 87,
  "room_activity": {
    "kitchen": 13,
    "master_bedroom": 13,
    "entrance": 17,
    "kids_room": 12,
    "dining_room": 10,
    "living_room": 19,
    "second_bedroom": 2,
    "master_bathroom": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T22:43:25] front_door_lock | Event: LockOp

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

## Query
以下是过去 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 rapid sequence of events suggesting a forced entry attempt or intrusion: Front door locked manually at 17:57, immediately followed by the door opening (contact false) and occupancy detected in the entrance/living room. Simultaneously, windows in Kids Room and Master Bedroom are fully opened (100%) at 22:43, which is late for standard evening routines.",
      "supported_by": [
        "[2026-06-29T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T17:57:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-29T17:57:03] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-29T22:43:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-29T22:43:21] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "[2026-06-29T22:43:25] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-29T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "General occupancy pattern shows activity spread across multiple rooms (kitchen, dining, etc.) consistent with normal family presence between 17:55 and 18:10."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine involving manual locking upon arrival, subsequent movement through the house, and later window adjustments for ventilation or sleep preparation.",
      "supported_by": [
        "Manual lock at 17:57 followed shortly by occupancy sensors triggering in entrance/living areas indicates residents arriving home.",
        "Occupancy spread across kitchen


BA-04-FP: 传感器触发延迟导致顺序看似跳跃

客厅occupancy在阳台和主卧之间有触发（2秒时），移动路径合理

Simultaneous, synchronized toggling of all room occupancy sensors from Empty to Occupied and back within seconds indicates a systemic sensor synchronization failure or network glitch rather than human movement.

Explanation: All 8 monitored rooms reported 'Empty' consistently from 18:00 to 18:41:00, yet temperature sensors continued reporting valid values (2332 -> 2297), proving the house was not physically empty.

Explanation: At 18:41:02, every single occupancy sensor flipped to 'Occupied' simultaneously, followed by an immediate flip back to 'Empty' at 18:41:05 (for living room) and shortly after for others, which is physically impossible for normal human entry/exit patterns.

Explanation: The lack of corresponding motion events, light switches, or appliance activity during the brief 'Occupied' window confirms the reading is an artifact of the sensor system (likely a broadcast storm or clock sync reset) rather than actual presence.

[2026-06-13T18:00:00]...[2026-06-13T18:41:00] All occupancy sensors = 0 while kitchen_temp_sensor reports continuous valid data.

[2026-06-13T18:41:02] living_room_occupancy = 1 AND [2026-06-13T18:41:05] master_bedroom_occupancy = 1 (Simultaneous global state change).

No logs indicate lights turning on, doors opening/closing, or appliances running during the 18:41 spike.

Reboot the central hub or occupancy gateway to reset sensor synchronization clocks.

Check network traffic logs between 18:40:00 and 18:42:00 for packet floods or protocol timeouts causing sensor re-initialization.

[2026-06-13T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Simultaneous toggle of >7 occupancy sensors from 0->1->0 within a 2-minute window without corresponding high-frequency motion events between toggles.

Balcony door opened at 18:41:04, yet main living areas only registered as occupied 8 seconds later (18:41:02) and reverted to empty 19 minutes after re-entering.

Check raw PIR/Microwave Doppler logs for individual room occupancy changes between 18:00 and 18:41 to confirm if the '0' reading was a true lack of presence or a communication gap.

Verify timestamps of light switches (Living/Dining/Balcony) during the 18:41 window; lights should have turned on/off if people entered/exited.

Cross-reference with appliance logs (Dishwasher, AC, Washing Machine) to see if they were active during the 'empty' periods, which would contradict the sensor data.

## 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": 379,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 10,
    "living_room": 19,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8,
    "balcony": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T18:00:00] dining_room_occupancy | OccupancySensing.Occup

## 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": "Ghost Occupancy / Sensor Synchronization Failure: A sudden, simultaneous state flip occurred where the entire house's occupancy sensors (Living Room, Dining, Bedrooms, etc.) reported 'Empty' at 18:00 and 18:30, followed by a synchronized switch to 'Occupied' at 18:41:02 and back to 'Empty' minutes later. This pattern is highly unlikely for normal human movement within a large home.",
      "supported_by": ["[2026-06-13T18:00:00]... all bedrooms/living/dining occupancy = 0", "[2026-06-13T18:30:00]... all bedrooms/living/dining occupancy = 0", "[2026-06-13T18:41:02] living_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-13T18:41:05] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household Departure/Arrival Cycle: The family left the house around 18:00, stayed away briefly, returned en masse at 18:41 (triggered by someone opening the balcony door), and immediately left again by 19:00.",
      "supported_by": ["[2026-06-13T18:41:04] balcony_door_contact | BooleanState.StateValue = False (Door opened)", "[2026-06-13T19:00:00]... occupancy = 0"],
      "contradicted_by": ["The duration of occupancy (approx 1 minute) in multiple rooms simultaneously suggests either an extremely fast tour or sensor lag/glitch rather than sustained habitation.", "Room activity counts show significant usage in Living Room (19), Kitchen (10), and Dining (9), making total absence from 18:00-18:30 suspicious if it was a short trip."]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous toggle of >7 occupancy sensors from 0->1->0 within a 2-minute window without corresponding high-frequency motio


INS-05-FP: 住户换了新手机/手表解锁

虽然用了不常用的RFID方式解锁，但进门后最终开灯、正常活动，行为模式与住户一致

Residents closed secure windows while still occupying the rooms and failed to exit before the final departure, indicating a significant deviation from standard evening routines or potential confusion regarding security protocols.

Explanation: Occupancy sensors confirmed residents were present in both the kids_room (until 20:42) and master_bedroom (until 22:21:12).

Explanation: The window covers for these specific rooms were closed at 20:40 and 22:21 respectively, immediately after occupancy was detected.

Explanation: Closing secure windows while occupants are inside is contrary to natural evening behavior where windows are typically opened for ventilation or left open until departure, and suggests either an automated error triggered by presence or manual intervention by confused residents.

Explanation: The sequence ends with the front door locking automatically only after the last room's window was closed, implying no 'Away' mode was activated earlier to trigger this specific action.

[2026-06-05T20:40:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (followed by occupancy=1 at 20:42)

[2026-06-05T22:21:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (followed by occupancy=1 at 22:21:12)

[2026-06-05T22:21:24] front_door_lock | DoorLock.LockState = 1 (Final lock occurred after window closure)

Review home automation schedules to ensure window closing is not misconfigured as an 'Occupied' state trigger.

Verify if a resident manually triggered the window covers via app/voice command during late hours without exiting.

Educate household members on the correct sequence: Close windows -> Exit Home -> Lock Door.

[2026-06-05T22:21:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-05T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Occupancy readings for kids_room and master_bedroom between 20:39 and 20:41 to confirm if the room was empty before the window closed.

The state of the main entrance door lock at 20:40 to determine if the 'Away' mode was activated early.

Motion sensor data for the hallway leading to the kids_room and master_bedroom around 22:21 to see if someone left shortly before the window closed.

Timestamps of other 'WindowCovering' events to check if this is part of a recurring automated schedule or a one-time 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": 699,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 14,
    "dining_room": 11,
    "entrance": 18,
    "kids_room": 12,
    "master_bedroom": 13,
    "living_room": 19,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T22:21:24] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Evening arrival sequence: Residents entered the home (Entrance/Dining/Kids occupancy), unlocked doors, and distributed themselves to bedrooms.",
      "supported_by": ["[2026-06-05T17:55:03] dining_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-05T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-05T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-05T18:17:00] front_door_lock | DoorLock.LockState = 2"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Premature or simultaneous closure of secure windows (Kids Room and Master Bedroom) while occupants are still present in the house, potentially indicating a rushed departure or a security protocol trigger rather than natural evening routine.",
      "supported_by": ["[2026-06-05T20:40:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-05T22:21:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-05T22:21:24] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": ["No explicit occupancy sensor reading confirming emptiness immediately prior to window closure at 20:40 or 22:21 in the provided snippet, though standard 'away' mode logic usually correlates with low occupancy."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-05T20:40:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-05T22:21:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Occupancy readings for kids_room and master_bed


第二人通过合法凭证解锁（不同UserIndex），且有合理时间间隔

No security breach detected; the sequence of events indicates a standard morning routine where occupants unlocked the door to leave, were momentarily outside (triggering auto-lock), re-entered immediately, and subsequently performed multiple manual lock/unlock cycles likely due to confusion or testing the system before departing.

Explanation: The 'manual unlock' at 07:18:23 was immediately followed by an 'auto-lock' at 07:18:33 after the door contact sensor briefly registered open/closed, indicating the resident opened the door to exit and the system automatically secured it once closed.

Explanation: Occupancy sensors in the master bedroom and kids room triggered at 06:19-07:19, confirming residents were inside prior to the door interaction, ruling out an external break-in attempt.

Explanation: The subsequent manual unlocks by UserIndex=1 and UserIndex=2 occurred after occupancy sensors had already registered presence in the rooms, suggesting these users were legitimately inside attempting to manipulate the lock state rather than gaining unauthorized entry.

[2026-06-26T06:19:07] kids_room_light | OnOff.OnOff = True

[2026-06-26T07:18:25] front_door_contact | BooleanState.StateValue = False

[2026-06-26T07:18:32] front_door_contact | BooleanState.StateValue = True

[2026-06-26T16:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T22:50:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T06:19:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or forced entry attempt: Front door unlocked manually at 07:18, then automatically locked immediately after. Shortly thereafter (within 4 minutes), the lock was manually unlocked again by UserIndex=3 and UserIndex=2, suggesting a sequence where someone may have entered without proper authorization or while the system was in an inconsistent state.",
      "supported_by": [
        "[2026-06-26T07:18:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-26T07:18:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-26T09:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
        "[2026-06-26T10:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=2)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent occupancy sensor readings: Multiple bedrooms report 'Occupancy = 0' at 00:00:00, yet later events show window coverings being opened (kids_room_window, master_bedroom_window) and front door unlocking, which typically implies presence inside the home.",
      "supported_by": [
        "[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"
      ],
      "contradicted_by": [
        "[2026-06-26T21:12:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-26T22:50:15] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ]
    }
  ],
  "most_concerning_signals": [
    "Front door unlocked manually at 07:18 followed by immediate auto-lock, then multiple manual unlock events shortly after.",
    "Window coverings opened in kids_room and master_bedroom late evening despite earlier occupancy sensors reporting empty rooms."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of all front_door_lock operations to confirm if the manual unlock at 07:18 was legitimate or part of a breach attempt.",
    "User authentication logs for UserIndex=1 and UserIndex=2 to verify their identities and access rights.",
    "Motion sensor data from entrance, hallway, and bedrooms between 07:18 and 10:04 to detect human movement correlating with lock/unlock events.",
    "System logs for any firmware updates, configuration changes, or rule modifications around the suspicious timeframes."
  ],
  "provisional_risk": "medium"
}
```

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

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

## Layout
Layout: 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": 2301,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 7,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 14,
    "master_bathroom": 8,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:18:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:18:33] 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
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or forced entry attempt: Front door unlocked manually at 07:18, then automatically locked immediately after. Shortly thereafter (within 4 minutes), the lock was manually unlocked again by UserIndex=3 and UserIndex=2, suggesting a sequence where someone may have entered without proper authorization or while the system was in an inconsistent state.",
      "supported_by": [
        "[2026-06-26T07:18:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-26T07:18:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-26T09:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
        "[2026-06-26T10:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=2)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Inconsistent occupancy sensor readings: Multiple bedrooms report 'Occupancy = 0' at 00:00:00, yet later events show window coverings being opened (kids_room_window, master_bedroom_window) and front door unlocking, which typically implies presence inside the home.",
      "supported_by": [
        "[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.


CH-04-FP: 家长在玄关操作门锁

Living room occupancy sensor is stuck reporting 'empty' despite continuous temperature readings and high activity in adjacent rooms indicating human presence throughout the house.

Explanation: Occupancy sensors for Entrance, Dining Room, Master Bedroom, Kids Room, and Kitchen consistently report 'occupied' (1) between 11:59 and 12:00, while the Living Room reports 'empty' (0).

Explanation: Temperature logs show regular fluctuations in the living room (e.g., 2527 -> 2521 -> 2531 degrees Celsius/milliCelsius) at 5-minute intervals during the same period where occupancy is reported as 0; if the room were truly empty of humans, such variance would be unlikely without HVAC changes, and the correlation with active neighbors suggests people are physically present but not detected by the motion sensor.

Explanation: The pattern repeats later at 12:30, confirming a persistent failure mode rather than a transient glitch or a person briefly leaving the specific zone.

[2026-06-18T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-18T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-18T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2525

Inspect and clean the living room motion sensor to remove obstructions or dust.

Replace the living room occupancy sensor module if cleaning does not restore functionality.

[2026-06-18T15:30:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=3, UserIndex=1)

[2026-06-18T15:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T22:38:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T15:55:00] front_door_lock | DoorLock.LockState = 2

[2026-06-18T18:07:00] front_door_lock | DoorLock.LockState = 2

Contact sensor states for windows/doors during the 12:00 time window to correlate with occupancy readings.

## 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": 1325,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 11,
    "master_bedroom": 14,
    "kids_room": 14,
    "dining_room": 12,
    "entrance": 26,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T15:30:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-18T15:30:32] front_door_lock | Eve

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Inconsistent occupancy patterns suggesting a 'ghost' presence or sensor malfunction in the living room while other areas show active human movement.",
      "supported_by": ["[2026-06-18T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-18T11:59:27] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-18T11:59:02] dining_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine involving locking doors, closing curtains for privacy/darkness, and settling into bedrooms.",
      "supported_by": ["[2026-06-18T15:30:05] front_door_lock | LockOperation(LockOperationType=1...)", "[2026-06-18T20:46:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-18T22:38:28] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Living room occupancy reported as 0 (empty) at 12:00, while Entrance, Dining Room, Master Bedroom, and Kids Room were simultaneously occupied.",
    "High frequency of door lock operations (multiple manual locks/unlocks within 1 hour between 15:30 and 18:07), potentially indicating repeated entry/exit attempts or system testing."
  ],
  "what_to_verify_in_raw_log": [
    "Raw motion detection timestamps for the living room vs. adjacent rooms to determine if the sensor is blind or if people are passing through without triggering it.",
    "User authentication logs for the door lock events at 15:30, 15:55, and 18:07 to confirm if UserIndex=1 is the only person operating them or if multiple users are present.",
    "Contact sensor states fo


INS-05-FP: 住户换了新手机/手表解锁

Evidence indicates an unauthorized entry via tailgating at 07:37 AM, where a door was manually unlocked and immediately re-locked by the system without any motion sensor activity or occupant presence detected in the hallway.

Explanation: At 07:37:25, the front door was manually unlocked (LockOperationType=1), yet no occupancy change occurred in the entrance zone between this time and the subsequent lock event.

Explanation: The door contact sensor confirms the door opened (False) and closed (True) within 8 seconds, but the entrance_occupancy sensor remained 0 throughout this interval, indicating no person passed through the threshold.

Explanation: The system automatically re-locked the door at 07:37:34 (Auto source), suggesting a user exit routine was triggered erroneously, likely due to a 'followed by' scenario where a visitor entered after the resident without triggering motion sensors.

[2026-06-25T07:37:27] front_door_contact | BooleanState.StateValue = False

[2026-06-25T07:37:33] front_door_contact | BooleanState.StateValue = True

No entrance_occupancy logs recorded between 07:37:25 and 07:37:34

Review video footage from the entrance camera specifically for the 9-second window around 07:37:25 to identify the second individual.

Check if the manual unlock at 07:37:25 corresponds to a known resident's app command or physical key fob usage to rule out remote tampering.

Audit motion sensor calibration in the entrance hallway to ensure sensitivity is not set too low to detect slow-moving individuals or children.

[2026-06-25T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-25T17:26:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)

[2026-06-25T06:44:13] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-25T07:37:25] front_door_lock | DoorLock.LockState = 2

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

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

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

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

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

The presence of active events throughout the day suggests someone was home; simultaneous zero occupancy on all sensors is statistically improbable unless everyone left simultaneously at exactly midnight.

Check raw motion sensor logs for the entrance hallway between 07:37:25 and 07:37:34 to see if any person passed through.

Verify if the 'Auto' operation source at 07:37:34 corresponds to a geofence exit event or a timer-based routine.

Cross-reference timestamp 00:00:00 with network logs to determine if it is a scheduled daily sensor reset or a data upload artifact.

Review video footage (if available) from the entrance camera specifically around 07:37 AM to rule out tailgating.

## 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": 2295,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 13,
    "dining_room": 7,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T07:37:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T07:37:34] 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 event detected around 07:37 AM, characterized by a manual lock unlock followed immediately by an auto-locked state without a corresponding sensor trigger for door opening.",
      "supported_by": [
        "[2026-06-25T07:37:25] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T07:37:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening departure sequence where the user manually locks the door at night, followed by automatic re-locking and window closing.",
      "supported_by": [
        "[2026-06-25T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T22:44:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-25T21:17:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-25T22:44:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Inconsistent occupancy reporting at midnight (00:00:00) across all monitored rooms, suggesting either a system-wide sensor reset, a false 'empty house' signal during peak activity hours, or a data synchronization glitch.",
      "supported_by": [
        "[2026-06-25T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-25T00:00:00] dining_room_occupancy | OccupancySensing.Occupa


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

Evidence suggests a potential unauthorized entry attempt involving a lock override and window manipulation in the children's room during periods of low occupancy.

Explanation: An unknown entity (Source=3) attempted to lock the front door at 20:13:00 with an error, then immediately succeeded at 20:13:20 using UserIndex=1, indicating a possible forced entry or credential misuse sequence.

Explanation: The children's room window opened abruptly at 21:03:04 while occupancy sensors reported zero presence for hours prior, suggesting either an automated tampering event or an intruder entering via that specific route before leaving.

Explanation: The sequence of events (lock error -> successful lock by unknown source -> sudden window opening) deviates significantly from standard residential patterns and lacks corroborating motion sensor data in the hallway or kids' room prior to the actuation.

Occupancy sensors show '0' in all rooms including kids_room between 00:00 and 06:49, making the 21:03 window event suspicious due to lack of immediate preceding motion detection.

Verify physical status of the front door and check for signs of forced entry around 20:13.

Inspect the children's room window and surrounding area for damage or tools used to open it.

Review security camera footage covering the entrance and children's room between 20:00 and 21:30 if available.

[2026-06-15T07:18:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T17:46:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:32:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or lockout scenario involving manual override attempts and subsequent forced/unsuccessful locking.",
      "supported_by": [
        "[2026-06-15T20:13:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-15T20:13:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible window tampering in the children's room indicated by a sudden transition from fully closed to fully open state with no recorded intermediate movement or occupancy correlation.",
      "supported_by": [
        "[2026-06-15T06:45:19] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-15T21:03:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard residential daily routine including morning departure (locking) and evening return (unlocking).",
      "supported_by": [
        "[2026-06-15T07:18:24] ... LockState = 2",
        "[2026-06-15T22:32:26] ... LockState = 1",
        "Room activity peaks during daytime hours (kitchen, dining, living)".
      ],
      "contradicted_by": [
        "Lock error events at 20:13",
        "Sudden window opening events without associated motion sensor triggers."
      ]
    }
  ],
  "most_concerning_signals": [
    "LockOperationError followed immediately by a successful lock operation with an unknown source index (3) and specific user index.",
    "Discontinuous window covering state change in kids_room (Closed -> Open) occurring after occupancy sensors show zero presence for several hours prior.",
    "Multiple late-night lock/unlock cycles (20:13 - 22:32) deviating from the standard morning/evening pattern."
  ],
  "what_to_verify_in_raw_log": [
    "The raw timestamped event stream for 'kids_room_occupancy' between 06:45 and 21:03 to confirm if anyone was physically present when the window opened.",
    "The identity of 'UserIndex=3' and 'OperationSource=3' in the log entries around 20:13 to determine if it is a registered family member or an external entity.",
    "The 'front_door_contact_sensor' state changes surrounding the 20:13 timestamps to verify if the door was actually open during the error/failure sequence.",
    "Any 'motion' or 'presence' events in the hallway/entrance leading up to the 20:13 lock failure."
  ],
  "provisional_risk": "medium"
}

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

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

## Layout
Layout: 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": 2303,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 10,
    "master_bedroom": 14,
    "second_bedroom": 7,
    "kids_room": 10,
    "master_bathroom": 6,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:18:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:18:34] front_door_lock | Event: LockO

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or lockout scenario involving manual override attempts and subsequent forced/unsuccessful locking.",
      "supported_by": [
        "[2026-06-15T20:13:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-15T20:13:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible window tampering in the children's room indicated by a sudden transition from fully closed to fully open state with no recorded intermediate movement or occupancy correlation.",
      "supported_by": [
        "[2026-06-15T06:45:19] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-15T21:03:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard residential daily routine including morning departure (locking) and evening return (unlocking).",
      "supported_by": [
        "[2026-06-15T07:18:24] ... LockState = 2",
        "[2026-06-15T22:32:26] ... LockState = 1",
        "Room activity peaks during daytime hours (kitchen, dining, living)".
      ],
      "contradicted_by": [
        "Lock error events at 20:13",
        "Sudden window opening events without associated motion sensor triggers."
      ]
    }
  ],
  "most_concerning_signals": [
    "LockOperationError followed immediately by a successful lock operation with an unknown source index (3) and specific user index.",
    "Discontinuous window coverin


开窗前住户先在同一房间活动并开灯，是主动行为

No security breach detected; the sequence of window openings and door unlocking corresponds to authorized evening routines and automatic system behavior.

Explanation: Occupancy sensors show consistent presence in key rooms (kids_room, master_bedroom) immediately before the windows were opened, indicating residents were present inside the house.

Explanation: The front door unlock at 22:41 was triggered by an 'Auto' source rather than a manual override, suggesting it is part of a scheduled routine or automated response to the window state change.

Explanation: The front door contact sensor registered as open (True) only after the unlock command and before lights were turned off, confirming the door was not physically breached prior to being unlocked.

[2026-06-22T20:49:03] kids_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T22:41:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Review smart-home automation logs to confirm the specific rule linking window opening to door unlocking.

Ensure family members are aware of the current evening routine settings.

[2026-06-22T17:49:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T16:22:00] front_door_lock | DoorLock.LockState = 2

[2026-06-22T17:49:00] front_door_lock | DoorLock.LockState = 2

High number of focus events (93) relative to salient events (60), suggesting noisy or conflicting sensor readings around the anomaly time.

Timestamp and source ID for the exact moment the front door lock state changed from 2 to 1 at 20:49/22:41.

Motion sensor activation logs immediately preceding the door unlock to see if an intruder was detected inside vs. outside.

Voice assistant or app control logs to determine if the window opening and door unlocking were triggered remotely by a user.

Contact sensor logs for the front door to confirm if the door was actually opened physically before being unlocked.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1322,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "kids_room": 14,
    "entrance": 23,
    "master_bedroom": 16,
    "dining_room": 11,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T16:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T17:49:00] 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 security breach: Front door was manually unlocked at 20:49 (implied by state change to unlocked) shortly after the children's room and master bedroom windows were reported fully open.",
      "supported_by": [
        "[2026-06-22T20:49:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-22T22:41:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-22T22:41:29] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine involving family members moving between rooms, closing curtains/windows for sleep, and locking/unlocking doors.",
      "supported_by": [
        "Multiple occupancy events in kids_room, dining_room, master_bedroom between 11:55 and 12:05.",
        "Front door locked twice manually during the day (16:22, 17:49).",
        "Curtains closed (100%) in multiple bedrooms late at night."
      ],
      "contradicted_by": [
        "The specific sequence of window opening followed by door unlocking suggests a potential intrusion rather than just routine behavior.",
        "No explicit 'unlocked' event timestamp is provided for the 20:49 event, only the state change, which could be ambiguous without raw logs."
      ]
    }
  ],
  "most_concerning_signals": [
    "Sequence: Kids room window opened (20:49) -> Master bedroom window opened (22:41) -> Front door unlocked (22:41).",
    "Absence of occupancy data confirming who performed these actions or if anyone entered via the front door after it was unlocked.",
    "High number of focus events (


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

The sequence of events indicates a standard evening routine where residents secured the home (locked doors, closed windows) after finishing daily activities, with no signs of intrusion or unauthorized access.

Explanation: Front door contact sensor at 17:55:02 shows StateValue=False (closed), immediately following a manual lock operation, confirming the door was properly secured upon entry.

Explanation: The event at 22:13:34 with LockOperationType=0 and Source=Auto corresponds to a system disarming or unlocking cycle for internal use, occurring after the window covering was manually closed at 22:13:25, which is consistent with nightly routines rather than an attack vector.

Explanation: Occupancy logs show continuous presence in living areas until late evening, followed by lights turning off and specific room closures, matching the normal behavior of residents going to sleep.

Explanation: No unexpected motion spikes, temperature anomalies, or repeated failed lock attempts were detected in the raw log.

Continue monitoring; no immediate action required.

Verify if 'LockOperationType=0' in this specific system always signifies disarming/unlocking during auto-cycles to prevent future confusion.

[2026-06-19T17:55:00] front_door_lock | DoorLock.LockState = 2

[2026-06-19T21:01:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-19T17:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Occupancy distribution: High occupancy spread across multiple rooms (Living, Master Bed, Kids, Dining) immediately following entry, followed by specific window closure events only in Master Bedroom and Front Door area later.

Check raw timestamps for the exact sequence of the front_door_contact sensor to confirm if the door was actually open when the lock operation occurred at 17:55 vs 22:13.

Verify the definition of LockOperationType=0 (Unlock?) versus Type=1 (Lock?) and ensure the Auto source at 22:13:34 corresponds to the system arming/disarming cycle rather than a manual override.

Cross-reference the window_covering actuator logs for kids_room and dining_room to see if they were also closed at 22:13 or if they remained open.

Review motion sensor history between 22:13 and current time to detect any movement after the 'secure' phase.

## 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": 702,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "entrance": 16,
    "living_room": 23,
    "kitchen": 12,
    "master_bedroom": 13,
    "kids_room": 12,
    "dining_room": 10,
    "second_bedroom": 2,
    "master_bathroom": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:13:34] 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": "normal",
      "description": "Household arrival and evening routine: Residents entered the home, distributed themselves across living areas, and subsequently secured the premises (locking doors and closing windows) around 22:13.",
      "supported_by": [
        "[2026-06-19T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T17:55:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-19T17:55:02] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-19T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-19T22:13:25] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-19T22:13:34] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential intrusion or unauthorized access where an intruder enters after the resident locks up, exploits a gap in window closure, and moves through the house.",
      "supported_by": [],
      "contradicted_by": [
        "[2026-06-19T22:13:34] front_door_lock | DoorLock.LockState = 1 (Door is locked shortly before reported anomalies)",
        "[2026-06-19T22:13:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal mismatch: Window covering events at 22:13:25 and 22:13:34 occur simultaneously with door lock state changes (state 1 set at 22:13:34), suggesting potential conflict between 'closing for night' and 'securing against entry' logic if not coordinated.",
    "Occupancy distribution: High occupancy spread acro


BA-05-FP: 邻居/亲友代为浇花/喂宠物

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

Evidence indicates a potential intruder opened the master bedroom window and subsequently unlocked the front door from the exterior shortly before leaving, as no occupant was detected in the hallway during the event.

Explanation: At 22:39:22, the master_bedroom_window sensor triggered a full opening (100%), which is highly unusual at this hour without concurrent occupancy in that room.

Explanation: Exactly 10 seconds later, the front_door_lock received an 'Auto' unlock command. While 'Auto' can imply automation, the timing correlates perfectly with the window opening, suggesting a remote trigger or sensor-based entry system activated by the intruder.

Explanation: Crucially, at 22:39:31, the front_door_contact sensor reported 'True' (door closed) immediately after the unlock, but there were no occupancy sensor readings for the entrance hallway between 22:39 and 22:40 to confirm a resident's presence to perform a normal exit.

[2026-06-03T22:39:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-03T22:39:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Absence of entrance_occupancy logs around 22:39 despite the door interaction

Dispatch security personnel to verify current status of the residence.

Review video footage from interior cameras (if available) to determine if anyone entered the master bedroom prior to 22:39.

Check the physical state of the master bedroom window and front door locks upon arrival.

[2026-06-03T17:54:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-03T16:10:00] front_door_lock | DoorLock.LockState = 2

[2026-06-03T17:54:00] front_door_lock | DoorLock.LockState = 2

[2026-06-03T20:52:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-03T22:39:32] front_door_lock | DoorLock.LockState = 1

Timestamps of 'Auto' lock/unlock events to determine if they are system-triggered (e.g., geofencing) or sensor-triggered by physical interaction.

Motion sensor data in master_bedroom and hallway around 22:39 to confirm human presence.

Smartphone app access logs or command history to verify if the user manually controlled the window shade and door lock remotely.

Audio logs from smoke_co_alarm or other room sensors near the time of the window opening to detect forced entry sounds.

## 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": 1321,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "entrance": 20,
    "kids_room": 13,
    "dining_room": 13,
    "master_bedroom": 16,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-03T16:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-03T17:54:00] 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": "normal",
      "description": "Household members are present and active throughout the day, engaging in routine activities across multiple rooms (kitchen, dining, living, bedrooms).",
      "supported_by": ["Occupancy sensors show presence in entrance, kids_room, dining_room, master_bedroom between 11:55-12:06; Lock operations at 16:10 and 17:54 indicate manual locking/unlocking patterns consistent with residents leaving/entering or securing doors during the day.", "Room activity distribution shows high engagement in common areas (entrance: 20, kitchen: 12) and private quarters (master_bedroom: 16), typical of family life."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or intrusion attempt involving window manipulation followed by door unlocking.",
      "supported_by": ["At 22:39:22, master_bedroom_window is fully open (10000%), immediately followed by front_door_lock state change to UNLOCKED (LockState=1) at 22:39:32. This rapid sequence suggests someone may have opened a window and then unlocked the main door from outside or inside.", "The combination of a bedroom window being fully retracted/opened late at night (22:39) paired with the front door unlocking shortly after is statistically unusual for normal resident behavior, which typically involves closing windows before sleeping."],
      "contradicted_by": ["front_door_lock events at 16:10 and 17:54 were manual locks; however, the 22:39 event is an AUTO unlock source, which could imply remote control or automation triggered by a sensor, though no corresponding occupancy spike was recorded in the provided logs."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-03T22:39:22] master


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

A failed lock operation immediately preceded by a successful unlock and door opening indicates a potential forced entry attempt or credential misuse.

Explanation: The log shows a sequence of LockOperationError followed by a successful LockOperation on the front door within 20 seconds, which is a classic signature of a break-in attempt (picking/bumping) or unauthorized access via stolen keys.

Explanation: The critical confirmation is the subsequent 'front_door_contact | StateValue = False' at 18:54:22, proving the door was physically opened after the error/success cycle, meaning an intruder gained physical access.

Explanation: Although occupancy sensors report zero for most of the day, this pattern of near-total absence combined with temperature drops suggests the house may have been empty during those windows, making the late-night breach highly suspicious rather than a sensor synchronization failure.

[2026-06-13T18:54:00] front_door_lock | Event: LockOperationError(OperationError=1, ...)

[2026-06-13T18:54:22] front_door_contact | StateValue = False

Immediately change the smart lock credentials and PIN codes.

Contact local law enforcement to file a report regarding the suspected intrusion.

Review security camera footage (if available) from the timeframe surrounding 18:54 to identify the perpetrator.

[2026-06-13T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T12:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

Timestamps and frequency of occupancy sensor packets prior to and after the 12:00/12:30 zeros to check for sensor drift or communication gaps.

Activity logs for kitchen appliances (dishwasher, cook_surface) between 12:00 and 13:00 to verify if cooking occurred despite zero occupancy readings.

## 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": 752,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 10,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-13T18:54:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-13T18:54:20] front_door_lock | Event: LockOperati

## 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 forced entry attempt or lock malfunction followed by unauthorized access, indicated by a failed lock operation immediately preceding a successful one.",
      "supported_by": ["[2026-06-13T18:54:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)", "[2026-06-13T18:54:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance, automated cleaning cycle, or occupancy sensor calibration resulting in temporary zero readings across all rooms.",
      "supported_by": [],
      "contradicted_by": ["Simultaneous zero occupancy in living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, entrance at 12:00 and 12:30, which is highly unlikely for an occupied household unless everyone left simultaneously or sensors are faulty."]
    }
  ],
  "most_concerning_signals": [
    "Sequential LockOperationError followed immediately by LockOperation on the front door within 20 seconds.",
    "Widespread simultaneous 'Occupancy = 0' events across almost every monitored room at distinct timestamps (12:00, 12:30), suggesting either total house abandonment (unlikely given later activity counts) or sensor synchronization failure."
  ],
  "what_to_verify_in_raw_log": [
    "Raw state transitions of the front_door_contact_sensor around 18:54 to confirm if the door was physically opened/closed during the error/success sequence.",
    "User authentication logs for UserIndex=3 and UserIndex=1 to determine if the lock operations were authorized attempts or brute-force guesses.",
    "Timestamps and


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

No security threat detected; observed events are consistent with standard household automation routines and occupant behavior.

Explanation: The 07:16 front door lock cycle shows a manual lock immediately followed by an auto-unlock within 10 seconds. This sequence, combined with the Kids Room light turning off at 07:16:12 and occupancy returning to '1' at 07:18:00, indicates a resident (likely a child) locking the door after exiting or moving rooms, triggering the system's auto-unlock upon their return inside.

Explanation: Occupancy sensors in all bedrooms report '0' between midnight and ~06:45, which is normal for sleeping occupants who do not trigger motion sensors while stationary.

Explanation: Window state changes (kids room opening/closing, master bedroom closing) occur only when corresponding lights are on/off or shortly after occupancy is confirmed, aligning with residents adjusting the environment rather than intruder activity.

Explanation: There is no evidence of forced entry, prolonged unauthorized access, or contradictory sensor states (e.g., door open while locked).

[2026-06-30T07:18:00] kids_room_occupancy | OccupancySensing.Occupancy = 1

Verify smart home automation rules ensure auto-unlocks function correctly during peak movement times.

[2026-06-30T16:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T18:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-30T22:12:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-30T07:16:16] front_door_lock | DoorLock.LockState = 2

[2026-06-30T07:16:26] front_door_lock | DoorLock.LockState = 1

Simultaneous timestamp proximity between Kids Room window closing/opening and Front Door Manual Lock/Unlock cycle at 07:16

Multiple manual lock operations on the front door within a short timeframe, deviating from typical automated routines

Window state changes occurring when occupancy is reported as zero, raising questions about how occupants managed to close/open them or if they were never present

Motion sensor logs for entrance and hallway areas immediately preceding and following the 07:16 door lock/unlock sequence to confirm who was inside/outside

Audio logs or camera feeds if available for the entrance during the 07:15–07:20 window

Detailed state history of the kids_room_window sensor to determine if it was physically tampered with or simply closed by automation vs. manual intervention

User access logs for the smart home hub to see which user account performed the manual locks

## 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": 2462,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 14,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 8,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-30T07:16:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-30T07:16:26] 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": "Suspected unauthorized entry or 'tailgating' event around 07:16, where the front door was manually locked shortly after an automatic unlock, potentially indicating someone entered without triggering a standard motion alert.",
      "supported_by": [
        "[2026-06-30T07:16:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-30T07:16:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-30T07:16:16] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Pattern of windows being opened (kids room and master bedroom) while occupancy sensors in bedrooms are reporting empty states at midnight, suggesting potential window-based access attempts or occupants sleeping with windows open in unsecured modes.",
      "supported_by": [
        "[2026-06-30T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-30T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-30T06:43:14] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-30T22:12:09] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High frequency of manual door locking events during evening hours combined with auto-unlock suggests either aggressive security behavior by residents or repeated failed entry attempts followed by manual correction.",
      "supported_by": [


CH-05-FP: 孩子安静写作业后正常活动

虽然安静了1.5小时，但之后正常起身活动去了其他房间，说明只是在专注写作业

Global occupancy sensors appear to be stuck in a '0' state or have been manually overridden to 'Away', creating a false negative for house evacuation despite active room activity.

Explanation: Raw logs show an instantaneous, simultaneous drop of Occupancy to 0 across all monitored rooms (Living, Dining, Bedrooms, Bathroom, Entrance) at exactly 18:00:00.

Explanation: This zero-occupancy state persists rigidly through every subsequent timestamp (every 30 mins) without any fluctuation, which contradicts natural human movement patterns where some sensors would typically miss individuals or trigger differently.

Explanation: The presence of temperature readings (e.g., kitchen_temp_sensor reporting values like 2321, 2261) indicates the sensor network is active and communicating, ruling out a total network outage, suggesting a specific logic error, firmware bug, or manual system override rather than random failure.

[2026-06-13T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 ... [simultaneous with other rooms]

Persistence of Occupancy=0 at 18:30, 19:00, ..., 22:00 despite no evidence of gradual decay or intermittent returns to '1'.

Immediately verify physical presence in the home via video doorbell or direct visual inspection if possible.

Check smart home hub/app for 'Away Mode' status or recent manual overrides that may have forced sensors to sleep.

Reset occupancy sensor nodes or reboot the local gateway to clear potential temporary logic locks.

[2026-06-13T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-13T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Raw timestamped logs for OccupancySensor events around 18:00-19:00 to check if the value changed from 1->0 instantly or was a gradual decay.

Event details for the 60 salient events in room_activity to determine their type (e.g., light toggle, lock status, temperature change) and source IP/device ID to distinguish between human interaction and automation.

Check for any 'System Override', 'Mode Change', or 'Firmware Update' events affecting the occupancy sensor network globally.

## 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": [
    "[2026-06-13T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-13T18:00:00] 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": "Simultaneous total evacuation or sensor failure: All primary living spaces (Living, Dining, Bedrooms, Bathroom) report zero occupancy at multiple timestamps (18:00, 18:30, 19:00), while Activity Logs show significant events occurring in these same rooms during the window.",
      "supported_by": ["suspicious_signals shows Occupancy=0 for all monitored rooms at 18:00, 18:30, and 19:00", "room_activity shows high event counts (e.g., 17 in living_room, 9 in master_bedroom) which contradicts a static 'empty' state"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance mode or cleaning robot activity: The house is empty of humans, but automated devices are causing the logged 'events' in room_activity without triggering motion detection.",
      "supported_by": ["suspicious_signals confirms human absence in key areas", "room_activity counts exist, potentially generated by non-human agents like vacuums or thermostats adjusting"],
      "contradicted_by": ["The simultaneous and persistent drop to 0 across *all* specific rooms (including bathrooms and bedrooms) at exact hour marks suggests a system-wide logic error or manual override rather than natural human movement patterns where some sensors might be missed or trigger differently"]
    }
  ],
  "most_concerning_signals": [
    "Complete synchronization of Occupancy=0 across Living Room, Dining Room, Master Bedroom, Second Bedroom, Kids Room, and Master Bathroom at 18:00.",
    "Persistence of this zero-occupancy state through 19:00 despite recorded 'event_count' activities in those specific rooms."
  ],
  "what_to_verify_in_raw_log": [
    "Raw timestamped logs for OccupancySensor e


CH-04-FP: 家长在玄关操作门锁

The simultaneous zero occupancy readings are consistent with a normal household evacuation between 17:30 and 18:00, supported by stable but cooling ambient temperatures indicating HVAC operation rather than an empty house or intrusion.

Explanation: All occupancy sensors reported '0' starting exactly at 18:00, which aligns with the Stage-1 hypothesis of a normal evening departure occurring just prior to this timestamp.

Explanation: Temperature logs show a gradual decline (e.g., Living Room from 2323°C/25.68°F equivalent scaling to 2243°C), indicating the HVAC system is actively maintaining or cooling the space, which contradicts the scenario of an abandoned building where temperatures would stabilize or rise rapidly.

Explanation: There is no evidence of rapid temperature spikes, sensor data divergence, or lack of environmental control that would suggest an intrusion, sensor malfunction, or fire risk.

Sequential timestamps showing Occupancy = 0 for all rooms starting at 18:00.

Continuous TemperatureMeasurement logs showing steady cooling trends across multiple sensors during the 'empty' period.

No immediate action required; monitor standard daily patterns.

Verify user activity logs around 17:45-18:00 to confirm expected departure times if further confirmation is needed.

Simultaneous zero occupancy across Living Room, Dining Room, Master Bedroom, Second Bedroom, Kids Room, Master Bathroom, and Entrance from 18:00 onwards without explicit exit sensor triggers.

Duration of zero occupancy (at least 1.5 hours in the log) for a multi-room residence where other systems (like kitchen lights or appliances) might have been active shortly before.

Check 'contact_sensor' logs for 'entrance_door', 'kids_room_window', 'living_room_window1', 'living_room_window2' around 17:45-18:00 to confirm physical exit.

Verify state changes for 'onoff_light' in entrance/living areas to see if lights were turned off manually vs auto-dimmed due to vacancy.

Cross-reference 'air_conditioner' and 'cook_surface' timestamps to ensure they powered down immediately after the last occupancy detection, rather than remaining on while the house was reported as empty.

## 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 empty house state across all monitored rooms during active hours (18:00-19:00) without evidence of mass departure or window opening.",
      "supported_by": [
        "suspicious_signals[0-20]: All 7+ room occupancy sensors report 'Occupancy = 0' at 18:00, 18:30, and 19:00 consecutively.",
        "room_activity: High activity counts in Kitchen (9), Living Room (17), Dining Room (9) suggest prior presence, making the sudden drop suspicious if not matched by door/window events."
      ],
      "contradicted_by": [
        "temperature_patterns: Empty list implies no significant temperature deviation detected yet to confirm a rapid exodus or HVAC shutdown.",
        "event_count: Total event count is 376 with only 60 salient events; while high volume suggests activity, the lack of specific 'door_open' or 'window_open' entries in the provided snippet makes it hard to rule out a normal evening routine entirely based solely on this text."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household evacuated normally between 17:30 and 18:00, resulting in sustained zero occupancy readings.",
      "supported_by": [
        "suspicious_signals: The sequence of zeros starts exactly at 18:00, implying an event occurred just prior.",
        "room_activity: Activity distribution shows usage across multiple rooms consistent with a family living there, which would then vacate."
      ],
      "contradicted_by": [
        "suspicious_signals: No corresponding 'entrance_contact_sensor' open/close events or 'window_covering' motor movements are listed in the focus/suspicious logs to corroborate a physical exit."
      ]
    }
  ],
  "most_concerning_signals": [
    "Sim