假期/出差模式中出现活动

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

Evidence indicates an unauthorized entry or tailgating attempt at 22:24, characterized by a sequence where the front door was manually locked twice earlier in the evening, then automatically unlocked immediately before the master bedroom curtain opened fully.

Explanation: The front door contact sensor shows the door state changing to 'True' (open) at 22:24:17, followed immediately by an automatic unlock event at 22:24:18 with no manual trigger logged.

Explanation: Within seconds of this automated unlock and door opening, the master bedroom window coverings were driven to 100% open, suggesting access to that room from the exterior.

Explanation: This behavior contradicts normal resident patterns observed earlier in the day (where occupancy moved naturally from entrance to bedrooms) and aligns with H1's hypothesis of a coordinated intrusion or tailgating event.

[2026-06-19T22:24:17] front_door_contact | BooleanState.StateValue = True

Immediately contact local law enforcement to report a potential break-in.

Review security camera footage for the front porch and interior hallway between 22:24:00 and 22:25:00 to identify the intruder.

Check the physical status of the master bedroom window and lock mechanisms for signs of forced entry.

Front door lock state changed to 'Unlocked' (1) immediately after an automatic unlock event, yet no corresponding manual unlock event is logged in the immediate vicinity, raising questions about the trigger source.

Raw motion sensor data for the hallway/entrance area specifically between 22:24:00 and 22:25:00 to determine if anyone entered the house before the curtains opened.

The specific device ID or MAC address triggering the 'Auto' unlock command at 22:24:18 to verify if it is a known smart home routine or a spoofed command.

Window contact sensor status for the master bedroom window around 22:24:11 to confirm if the window was physically open or just the cover moved.

Audio logs or camera feeds (if available) for the front porch and interior hallway during the 22:24 timeframe.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1025,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 21,
    "master_bedroom": 26,
    "entrance": 30,
    "living_room": 24,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T16:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:24:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T16:24:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T18:08:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T22:24:11] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-19T22:24:18]

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry or tailgating attempt: Front door was manually locked twice (16:24, 18:08) and then automatically unlocked at 22:24. Immediately following the auto-unlock, the master bedroom curtain opened fully (likely indicating someone entering or accessing that room), while occupancy sensors in the living room and entrance show conflicting states suggesting a rapid transition of presence.",
      "supported_by": [
        "[2026-06-19T22:24:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T22:24:11] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-19T22:24:18] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident activity pattern: High occupancy counts in the morning (12:00-12:19) between entrance and master bedroom are consistent with a resident waking up, moving through the house, and settling into their room.",
      "supported_by": [
        "[2026-06-19T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-19T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-19T12:04:32] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-19T12:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Temporal proximity of front door auto-unlock (22:24:18) and master bedroom curtain full open (22:24:11) suggests coordinated access to the sleeping area from the outside.",
    "Front door lock state changed to 'U


伪装开锁（被盗/复制凭证）

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

中等可信度警报，建议住户确认是否本人操作

The sequence of events indicates a resident returning home, manually locking the door, briefly touching it (triggering contact sensor), and then moving inside; no forced entry or unauthorized access is supported.

Explanation: At 18:00, all internal room occupancy sensors were '0', confirming the house was empty before the event.

Explanation: At 17:55 and repeatedly thereafter, entrance occupancy triggered ('1'), followed by manual lock operations at 18:18:00, indicating a resident arrival and security protocol execution.

Explanation: The contact sensor flip to 'False' at 18:18:02 occurred exactly 2 seconds after manual locking, which is consistent with a resident physically brushing against the closed door frame upon entry rather than an external breach, especially given the immediate transition to internal occupancy.

Raw binary data from the front_door_contact sensor to distinguish between a door being physically opened vs. magnetic interference or false positive.

Motion vector analysis in the entrance hallway to see if multiple distinct entities entered simultaneously.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 492,
  "salient_event_count": 60,
  "focus_event_count": 108,
  "room_activity": {
    "kitchen": 26,
    "entrance": 31,
    "living_room": 40,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T22:08:38] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:18:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T22:08:38] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T17:55:14] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-17T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized or forced entry event: Front door opened (sensor triggered) at 18:18:02 while the door was locked, followed by immediate manual re-locking.",
      "supported_by": [
        "[2026-06-17T18:18:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-17T18:18:00] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-17T18:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident returned home manually and locked the door immediately upon entry.",
      "supported_by": [
        "[2026-06-17T17:55:14] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": [
        "[2026-06-17T18:18:02] front_door_contact | BooleanState.StateValue = False"
      ]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-17T18:18:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-17T18:18:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamp precision between 'front_door_contact' state change and 'entrance_occupancy' activation to determine if the sensor detected an intruder before the resident entered.",
    "Raw binary data from the front_door_contact sensor to di


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

The sequence of events represents a standard automated 'lock on exit' routine confirmed by occupancy sensor data showing the user was already present and the door contact closed before the lock engaged.

Explanation: Occupancy sensors show presence ('1') in the entrance at 07:37:12, indicating the resident was inside just seconds before the manual lock event.

Explanation: The door contact sensor transitioned to False (door open/closed cycle) at 07:37:21, immediately preceding the Auto Unlock at 07:37:29, suggesting the automation logic triggered upon detecting the door state change rather than an external breach.

Explanation: The timing aligns with a typical departure: Resident enters/adjusts settings (manual lock trigger), system detects door interaction, and executes the configured 'Auto Unlock' rule likely intended for pets or specific transit modes after a short delay.

[2026-06-29T07:37:12] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-29T07:37:21] front_door_contact | BooleanState.StateValue = False

Review smart-lock firmware notes to confirm if the 10-second auto-unlock delay is a documented feature for pet access or garage transitions.

Verify evening logs (21:55) to ensure this pattern is consistent or if it indicates a recurring configuration issue.

[2026-06-29T18:07:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T21:55:45] front_door_lock | DoorLock.LockState = 1

Automated smart-home routine executing correctly: User leaves house, system detects motion/departure, locks door, then re-locks/unlocks based on specific time-based or sensor-based automation rules.

The evening event at 21:55 shows a similar pattern (Manual Lock -> Auto Unlock), but this happens later in the evening when residents typically return, possibly indicating a 'secure then unlock for pets/garage' routine or a glitch in the evening sequence as well.

If the home uses a 'Lock on Entry, Unlock on Exit' logic, the morning sequence could represent the user arriving home (manual lock? unlikely unless they walked in and locked behind them) or leaving. However, given the timestamp 07:37 is usually departure time, a manual lock followed by immediate auto-unlock is suspicious unless it's a specific 'test mode' or firmware bug.

Room activity counts are low for early morning hours, suggesting residents are asleep, making a manual lock operation inside the house less likely to be a standard wake-up routine.

Check GPS/Wi-Fi location data associated with the device ID triggering the Manual Lock at 07:37:19 to determine if the user was inside or outside the perimeter.

Review camera footage (if available) for the entrance hallway at 07:37:19 to see who/what performed the manual lock action.

Verify the configuration of the 'front_door_lock' automation rules to understand why an Auto Unlock occurred exactly 10 seconds after a Manual Lock.

Check logs for any battery level drops or communication errors for the front door lock around 07:37, which might indicate a hardware fault causing erratic state reporting.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1658,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 12,
    "living_room": 23,
    "master_bedroom": 10,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:37:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:37:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T21:55:45] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T07:37:19] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-29T07:37:29] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-29T18:07:

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Standard daily cycle with occupants sleeping at night and leaving/returning during the day.",
      "supported_by": ["Occupancy sensors show '0' (empty) for all rooms consistently between 00:00 and 01:00, suggesting a continuous sleep period without interruption.", "Door lock events occur at 07:37 (morning departure) and 21:55 (evening arrival), consistent with a typical workday schedule."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized access due to door locking state inconsistencies around 07:37.",
      "supported_by": ["At 07:37:19, the log records a Manual Lock (Type=1) followed immediately by an Auto Unlock (Type=0) at 07:37:29. The state logs confirm LockState 2 (locked) then LockState 1 (unlocked). This sequence mimics someone entering, manually locking the door from the inside or outside, and then it automatically unlocking shortly after, which is unusual if no one was present to trigger the auto-unlock logic immediately upon entry.", "The proximity of the manual lock event (07:37:19) to the subsequent auto-unlock (07:37:29) suggests a potential loop or forced interaction where the door was locked but immediately compromised or unlocked via automation before normal departure procedures were complete."],
      "contradicted_by": ["There are no occupancy sensor triggers in the bathroom, master bedroom, or second bedroom immediately preceding or following the 07:37 event that would definitively prove someone was physically manipulating the lock while inside the home (though absence of evidence isn't proof of absence)."],
      "id": "H3",
      "type": "normal",
      "description": "Automated s


假期/出差模式中出现活动

The entrance occupancy sensor is reporting continuous or near-continuous presence (Occupancy=1) for over 3 hours while all internal room sensors consistently report empty rooms and temperatures fluctuate normally, indicating a likely hardware fault in the entry sensor rather than an unauthorized person lingering outside.

Explanation: Internal consistency check: All internal rooms (Living, Master, Second Bed) report Occupancy=0 throughout the log period, which contradicts the hypothesis of people entering/exiting frequently and occupying the house.

Explanation: Environmental context: Kitchen temperature sensors show realistic fluctuations (2450-2535 range) consistent with ambient changes and appliance usage, proving the sensor system itself is functional and not globally drifting.

Explanation: Pattern analysis: The entrance sensor toggles between 1 and 0 but predominantly stays at 1 during intervals where no one should be inside based on other room data; this 'stuck' or hyper-sensitive behavior is characteristic of a malfunctioning PIR or microwave radar sensor at the door.

Explanation: Exclusion of intrusion: There is no evidence of lock manipulation (no LockOperationType events in raw log), no rapid transitions suggesting multiple people moving through, and the lack of activity in living spaces makes tailgating or unauthorized access highly improbable.

[2026-06-01T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 AND [2026-06-01T12:00:18] entrance_occupancy | OccupancySensing.Occupancy = 1

Consistent zero occupancy across all internal bedrooms and living areas from 12:00 to 14:35 despite the entrance sensor frequently reading 1.

Physically inspect the entrance motion sensor for obstructions, dirt, or damage causing false positives.

Reset or recalibrate the entrance occupancy sensor, or replace the unit if calibration fails.

[2026-06-01T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

The timestamp 18:12:00 shows a Manual Lock event immediately followed by a state change to unlocked (State 2 usually implies unlocked/open depending on firmware, but context suggests transition from locked to open if operation source was manual unlock, or vice versa; however, the immediate pairing with low internal occupancy is key).

Check the raw log for the exact sequence of motion sensor triggers in the hallway/kitchen vs. the door sensor to distinguish between one person lingering outside vs. multiple people entering quickly.

Verify the definition of LockOperationType values (0 vs 1) and LockState (1 vs 2) to confirm if an unauthorized entry occurred after the manual lock attempt.

Correlate the Kitchen cook_surface and dishwasher logs with the Entrance occupancy spikes to see if someone is cooking while others are supposedly 'entering' repeatedly.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 903,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 32,
    "entrance": 32,
    "living_room": 38,
    "master_bedroom": 6,
    "second_bedroom": 6,
    "bathroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T22:13:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T18:12:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T22:13:33] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-01T11:55:18] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-01T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-01T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspicious pattern of repeated door entry/exit and occupancy fluctuations without corresponding activity in living spaces, suggesting potential unauthorized access or tailgating.",
      "supported_by": [
        "[2026-06-01T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-01T18:12:00] front_door_lock | DoorLock.LockState = 2",
        "Multiple rapid transitions between Entrance Occupancy=1 and Living/Master/Second Bedroom Occupancy=0 (e.g., 12:00, 12:30), indicating people entering/exiting frequently but not settling into rooms."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "High frequency of entrance events corresponds to a family moving around the house during active hours (lunchtime/cooking time).",
      "supported_by": [
        "Kitchen activity count is high (32) at similar times to entrance activity.",
        "Living room shows some activity (38 events)."
      ],
      "contradicted_by": [
        "The specific timestamps show extreme oscillation (On/Off) within minutes that does not match typical continuous human movement patterns for a single household.",
        "All other rooms (Master, Second Bed, Living) are consistently empty (Occupancy=0) while Entrance is repeatedly occupied."
      ]
    }
  ],
  "most_concerning_signals": [
    "Repeated manual lock/unlock or state changes at the front door combined with zero occupancy in all internal rooms during peak 'entrance' activity windows.",
    "The timestamp 18:12:00 shows a Manual Lock event immediately followed by a state change to unlocked (State 2 usually implies unlocked/open depending on firmware,


触发安全警报，临时禁用 Keypad 输入，通知住户

Multiple failed lock attempts followed by an alarm and a delayed successful unlock indicate a likely forced entry attempt or tailgating event.

Explanation: Occupancy sensors confirm the house was empty (all rooms 0) during the incident window between 21:21 and 22:27.

Explanation: Four consecutive 'LockOperationError' events from Source 3 within 40 seconds suggest repeated mechanical jamming or electronic bypass attempts rather than normal user interaction.

Explanation: The subsequent activation of 'DoorLockAlarm' confirms the system detected a breach condition, followed by a successful unlock only after a 66-minute delay, implying the intruder eventually gained access or left without entering.

[2026-06-22T00:00:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

Review physical surveillance footage if available to identify the subject at the door.

Inspect the front door hardware for signs of tampering, drilling, or broken components.

Change all associated credentials (codes, keys, fingerprints) for the smart lock immediately.

Check local law enforcement logs regarding any reported break-ins in the area on this date.

[2026-06-22T07:50:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T16:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

Four repeated 'LockOperationError' events from Source 3 within 40 seconds.

Final successful auto-unlock approximately 66 minutes after the alarm started.

Identity of 'OperationSource=3' (is it a known app user, smart home hub, or unknown device?).

Motion sensor logs for the entrance hallway between 21:21 and 22:27 to see if anyone was physically present or waiting outside.

Audio logs (if available) around 21:21 to detect picking or drilling sounds.

Timestamps of other devices interacting with the door (e.g., security system arming/disarming).

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2302,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 7,
    "living_room": 13,
    "dining_room": 6,
    "master_bedroom": 12,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 7,
    "entrance": 28
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:50:31] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:50:37] 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 forced entry or lock tampering attempt occurring late at night, followed by a successful unlock.",
      "supported_by": [
        "[2026-06-22T21:21:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-22T21:21:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-22T21:21:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-22T21:21:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-22T21:21:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)",
        "[2026-06-22T22:27:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity with children opening windows during the day and adults locking up upon leaving/returning.",
      "supported_by": [
        "[2026-06-22T06:14:15] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-22T20:47:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-22T22:27:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "High room activity in Entrance (28) suggests frequent comings and goings."
      ],
      "contradicted_by": [
        "The cluster of 4 consecutive errors on the door lock immediately preceding an alarm is statistically unlikely for routine operation."
      ]
    }
  ],
  "most_concerning_signals": [
    "Four repeated 'LockOperationError' event


A window was left open for over 14 hours while the house was unoccupied, creating a high-probability vector for unauthorized entry despite subsequent manual locking attempts.

Explanation: Occupancy sensors confirmed the house was empty starting at 00:00:00 and remained so until 22:17:30 when residents returned.

Explanation: The kids_room window opened at 06:29:18 (while empty) and remained in an 'open' state (liftPercent=0) until 20:48:03, leaving it exposed for ~14 hours.

Explanation: No motion or contact sensor events were logged in the kids_room during the night to indicate if anyone entered through the window, but the prolonged unsecured state constitutes a critical security failure.

Explanation: Residents locked the front door twice manually before returning, suggesting they may have been unaware of the compromised window or assumed the front door lock was sufficient.

kids_room_window: Opened 06:29:18 -> Closed 20:48:03 with no occupancy data in between

occupancy_patterns: All zones reported '0' from 00:00:00 to 22:17:30

front_door_lock: Manual locks at 07:39, 16:17, and 18:20 occurred after the window was already open

Immediately inspect the kids_room window and surrounding area for signs of forced entry or tampering.

Check if any items are missing from the kids_room that would corroborate an intruder event.

Review historical camera footage (if available) specifically around 06:30 and 20:48 to identify who/what operated the window.

Update smart home automation rules to require window closure confirmation upon detecting vacancy in child-occupied rooms.

[2026-06-26T07:39:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T22:17:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T06:29:18] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-26T07:39:22] front_door_lock | DoorLock.LockState = 2

[2026-06-26T07:39:27] front_door_lock | DoorLock.LockState = 1

kids_room_window: Opened 06:29:18, Closed 20:48:03 (State change without concurrent occupancy)

front_door_lock: Multiple manual locks (16:17, 18:20) prior to confirmed vacancy

occupancy_patterns: All zones reported vacant since 00:00:00

Motion sensor history in kids_room between 06:29 and 20:48 to verify if anyone entered through the window.

Door contact sensor status timeline to see if the front door was ever opened (unlocked) after being locked at 18:20 or 16:17.

Audio logs or video feeds around 06:29 to identify who/what opened the window.

Check if the 'Auto' unlock at 07:39:27 or 22:17:30 corresponds to any resident returning or automated system errors.

## 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": 2291,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 20,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:39:22] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:39:27] 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": "Premature departure and window closure sequence suggests an unauthorized entry event (intruder) rather than normal resident activity.",
      "supported_by": [
        "Window in kids_room opened at 06:29:18 followed by closing at 20:48:03 while house was empty.",
        "Front door locked manually at 16:17:00, then again at 18:20:00.",
        "All room occupancy sensors report '0' starting from midnight (00:00:00), indicating the house has been unoccupied for a significant period.",
        "Sequence of events: Window open -> Door Lock -> Occupancy Empty -> Window Close."
      ],
      "contradicted_by": [
        "No explicit alarm trigger logs provided in this packet.",
        "Manual lock operations could theoretically be residents performing routine checks."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents left the house normally during the day and closed windows upon leaving.",
      "supported_by": [
        "Manual locking of the front door is consistent with residents securing the home before leaving.",
        "Closing windows is standard behavior when departing."
      ],
      "contradicted_by": [
        "The time gap between opening the kids' room window (06:29) and closing it (20:48) implies the window remained open for ~14 hours while the house was unoccupied, which increases risk but doesn't confirm malice if the window was opened legitimately earlier. However, combined with the specific anomaly detection context, this duration is suspicious for an unattended state.",
        "Typical exit routines involve locking doors immediately after stepping out; the sequence here shows a long duration of potential vulnerability."
      ]
    }


假期/出差模式中出现活动

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

The front door contact sensor reported an 'Open' state immediately after the user manually locked the door, creating a false alarm of forced entry while occupancy sensors confirmed residents were safely inside.

Explanation: At 18:09:00, the log records a manual lock operation (LockOperationType=1) followed by LockState=2 (Locked).

Explanation: Two seconds later at 18:09:02, the front_door_contact sensor reported StateValue=False (Open), contradicting the physical action of locking and the subsequent stable occupancy readings.

Explanation: No other unlock events or door opening movements were logged between 18:09:00 and 18:30, and the window covering event at 22:10 was consistent with normal evening routine (closing windows before sleep), ruling out tailgating or intrusion.

Explanation: The contradiction between the verified lock command/state and the immediate contact sensor flip indicates a sensor glitch rather than a security breach.

Verify the physical status of the front door contact magnet and wiring for misalignment or damage.

Replace or recalibrate the front door contact sensor to prevent future false positive intrusion alerts.

[2026-06-17T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Simultaneous manual lock operation (18:09:00) followed immediately by door contact sensor reporting OPEN (18:09:02) while interior occupancy is confirmed.

Door lock state changing to UNLOCKED (1) at 22:10:33 without a corresponding manual unlock event logged in the suspicious signals list, coinciding with window closure.

Timestamped raw state changes of front_door_contact prior to and immediately after 18:09:00 to determine if the door opened before or after being locked.

Raw event logs for front_door_lock between 18:09:00 and 18:10:00 to check for any hidden 'Unlock' events that might explain the contact sensor reading.

Motion detection confidence scores and duration for entrance_occupancy at 18:09:03 to verify if it's a legitimate person or a sensor trigger from outside pressure.

Logs for master_bedroom_window covering motor commands around 22:10:22 to confirm if this was a user action or automated response to an external threat.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 553,
  "salient_event_count": 60,
  "focus_event_count": 96,
  "room_activity": {
    "kitchen": 19,
    "entrance": 23,
    "master_bedroom": 19,
    "living_room": 29,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T22:10:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:09:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T22:10:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-17T22:10:33] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-17T17:57:00] master_bedroom_occupancy | Occupan

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unusual sequence of events suggesting an attempted unauthorized entry or system manipulation: Front door was locked manually at 18:09, yet the door contact sensor immediately registered 'Open' (False) at 18:09:02 while occupancy sensors in Entrance and Living Room detected presence. This implies the door may have been forced open or manipulated without triggering a proper unlock event.",
      "supported_by": [
        "[2026-06-17T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T18:09:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-17T18:09:03] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents returning home and settling in; occupants are present in common areas, and windows are fully closed (100%), consistent with evening routine.",
      "supported_by": [
        "[2026-06-17T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T18:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-17T22:10:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "[2026-06-17T18:09:02] front_door_contact | BooleanState.StateValue = False"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential false positive or sensor glitch causing contradictory state readings for the front door during the initial arrival window.",
      "supported_by


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

无成人在厨房（厨房 occupancy 信号模式+其他房间的 occupancy 信号表明成人不在厨房）

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

Occupancy sensors across all living areas are reporting a persistent '0' state for over 3 hours despite clear evidence of human activity (cooking, movement) in those zones.

Explanation: Multiple occupancy sensors simultaneously reported 0 from 00:00 to 02:50 while temperature sensors recorded rising values indicative of kitchen usage and heating.

Explanation: At 02:50, the kids_room sensor correctly detected occupancy=1, followed by the user turning on the cook surface at 02:51, proving the household was active.

Explanation: The sudden drop to 0 at 03:00 coincides with the end of the cooking event, suggesting the previous continuous '0' readings were not due to vacancy but rather a stuck/frozen sensor state or data aggregation failure during the low-activity period.

[2026-06-28T02:50:00] kids_room_occupancy | Occupancy = 1

[2026-06-28T02:51:30] kitchen_cook_surface | OnOff = True

Continuous Occupancy=0 reports from 00:00 to 02:50 while other devices (temp, cook_surface) show active usage patterns.

Reset the motion sensor array immediately via local hub or app.

Verify physical sensor alignment and battery levels for all occupancy sensors.

Check cloud synchronization logs to rule out delayed heartbeat updates causing stale data display.

[2026-06-28T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Power supply logs for motion sensors to rule out simultaneous offline events

Cloud/Hub sync timestamps to verify if data was aggregated from local edge devices

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1492,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 11,
    "living_room": 18,
    "dining_room": 9,
    "master_bedroom": 8,
    "second_bedroom": 8,
    "kids_room": 10,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous total house vacancy: All primary living areas (living_room, dining_room, bedrooms) report occupancy=0 at the exact same minute marks for a continuous 3-hour window.",
      "supported_by": ["suspicious_signals"],
      "contradicted_by": ["room_activity"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance or sensor calibration cycle where all motion sensors were reset to zero simultaneously.",
      "supported_by": [],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Data synchronization failure or network glitch causing periodic 'heartbeat' reporting of default states instead of real-time updates.",
      "supported_by": ["suspicious_signals"],
      "contradicted_by": ["room_activity"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-28T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamp precision and sequence between different sensor types (e.g., did lights turn off before occupancy dropped?)",
    "Presence of door lock state changes during the 00:00-01:00 window",
    "Power supply logs for motion sensors to


凌晨时段儿童房活动 → 离开房间去其他区域
家长卧室无活动（不是家长带着孩子）
低龄儿童深夜独自活动有安全风险（摔倒、误触电器等）

通知家长（轻柔方式），建议查看孩子情况

Device logs indicate a normal evening routine of residents opening windows for ventilation and an automated door unlock occurring while occupants are still inside the home.

Explanation: Occupancy sensors confirm people were present in the Kids Room (20:54) and Master Bedroom (22:22) immediately before or during the window opening events.

Explanation: The front door unlock at 22:22:27 occurred after the front door contact sensor registered closure (22:22:26), indicating the door was closed from the inside, consistent with an internal automation trigger rather than an external entry attempt.

Explanation: The sequence of events follows a logical behavioral pattern: turning off lights and opening windows is a common pre-sleep routine, and the timing aligns with standard household activity.

[2026-06-22T20:54:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (with occupancy=1)

[2026-06-22T22:22:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (with occupancy=1)

[2026-06-22T22:22:26] front_door_contact | BooleanState.StateValue = True followed by Auto Unlock

Continue monitoring; no immediate action required as behavior appears consistent with normal resident activity.

[2026-06-22T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-22T22:22:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T16:14:00] front_door_lock | DoorLock.LockState = 2

[2026-06-22T18:06:00] front_door_lock | DoorLock.LockState = 2

[2026-06-22T22:22:27] front_door_lock | DoorLock.LockState = 1

Windows opened likely by residents for fresh air before bedtime.

Front door locked/unlocked cycles match typical arrival/departure or security check routines.

Simultaneous window opening in separate zones (Kids and Master) is less common in single-parent/single-child households unless coordinated.

Timestamps of motion sensor triggers immediately preceding the window opening events to confirm if humans triggered them.

Door lock state history between 20:54 and 22:22 to verify if the 'Auto' unlock was a scheduled automation or triggered by an external signal (e.g., keypad code entered from outside).

Audio logs or smart speaker transcripts around 20:54 and 22:22 to determine if commands were voice-assisted or automated.

Camera footage (if available) correlating with the window motor activation timestamps.

## 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": 1319,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 16,
    "kids_room": 15,
    "entrance": 21,
    "dining_room": 12,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T16:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T18:06:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Coordinated window opening sequence suggesting potential entry or ventilation bypass while the home is occupied.",
      "supported_by": [
        "2026-06-22T20:54:06 kids_room_window opened (100%)",
        "2026-06-22T22:22:18 master_bedroom_window opened (100%)",
        "Front door unlocked at 22:22:27 shortly after master bedroom window opened"
      ],
      "contradicted_by": [
        "Occupancy sensors indicate people are present in Master Bedroom, Kids Room, and Entrance during these times.",
        "Standard evening routine could involve opening windows for air circulation before sleeping."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential break-in attempt utilizing a timing mismatch between manual locking/unlocking and automated sensor triggers.",
      "supported_by": [
        "Front door manually locked at 16:14 and 18:06, then auto-unlocked at 22:22:27",
        "Window coverings raised in two different rooms within 2 hours of each other",
        "High event count (1319) with low salient events (60) suggests noisy data masking specific anomalies"
      ],
      "contradicted_by": [
        "No alarm triggers or smoke/leak detections reported in suspicious_signals.",
        "Manual lock operations have consistent timestamps without immediate tampering indicators."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine household activity involving children moving between rooms and adjusting environmental controls.",
      "supported_by": [
        "Sequential occupancy changes: Entrance -> Dining -> Living (empty) -> Master/Kids rooms filled.",
        "Windows opened likely by residents for fresh ai


玄关运动 + 门锁解锁失败

密码错误（小孩可能记不准密码）

跟 INS-02 的区别：这里不是暴力破解，只有1-2次尝试，且家中有其他房间的活动（说明有人在家）

The sequence represents a normal family return home routine; the apparent 'window close before door unlock' is explained by the window closing to secure the room just as occupants entered and locked the door from the inside.

Explanation: Occupancy logs confirm all residents (Master Bedroom, Kids Room) were already present in the house starting at 11:57, ruling out an external intrusion via another route.

Explanation: The log shows the Master Bedroom window closed (22:50:22) immediately followed by the front door contact sensor triggering (True) and then the lock unlocking (Auto) (22:50:31-32), which corresponds to a resident entering the main hall, closing their bedroom window for the night, and then the automated system unlocking the front door because the household was detected as fully occupied/active.

Explanation: Multiple manual locking events earlier in the day (16:07, 18:00) establish that the Manual-to-Auto transition at night is consistent with standard home automation geofencing or occupancy-based routines, not forced entry.

[2026-06-16T11:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-16T22:50:31] front_door_contact | BooleanState.StateValue = True

[2026-06-16T22:50:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-16T16:07:00] front_door_lock | DoorLock.LockState = 2

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

Temporal proximity between Master Bedroom window closure (22:50:22) and Front Door unlock (22:50:32). This suggests someone may have locked themselves in/out or entered via another route just before the automated door unlock, or an intruder is manipulating the scene.

Occupancy sensor in Living Room turned OFF at 12:00:00 while Occupancy sensors in Kids Room and Master Bedroom were still ON at that exact minute. If this is a single household returning home simultaneously, it is highly unlikely for the living room to be empty while bedrooms are occupied unless people moved instantly or sensors are misaligned.

Raw contact_sensor logs for Master Bedroom window and Front Door around 22:50:00 to confirm if the window was physically opened/closed and who accessed the door.

Raw occupancy_sensor logs for all rooms from 11:55:00 to 12:15:00 to determine the actual movement paths and resolve the simultaneous occupancy contradiction in Living Room vs Bedrooms.

System logs for 'Auto' source on the front door lock at 22:50:32 to verify if it was triggered by a scheduled routine, geofence exit, or a potential spoofed signal.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1318,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 13,
    "master_bedroom": 16,
    "kids_room": 13,
    "entrance": 20,
    "dining_room": 12,
    "living_room": 14,
    "second_bedroom": 3,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T18:00:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Standard family return home sequence involving locking up, checking windows, and settling into master bedroom.",
      "supported_by": [
        "[2026-06-16T16:07:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-16T18:00:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-16T22:50:32] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-16T21:00:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-16T22:50:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or intrusion event disguised as a 'return home' scenario due to the specific timing of window closure relative to door unlocking.",
      "supported_by": [
        "[2026-06-16T22:50:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-16T22:50:32] front_door_lock | DoorLock.LockState = 1",
        "The sequence shows windows closing (100% closed) at 22:50:22, immediately followed by the front door lock state changing to unlocked (1) at 22:50:32."
      ],
      "contradicted_by": [
        "[2026-06-16T16:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-16T18:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal proximity between Master Bedroom window closure (22:50:22) and Fr


工作日上午学校时段
家长已出门（LockOperation 记录）
仅儿童房有活动信号，其他房间无人
活动模式像小孩（仅在一个房间）

通知家长确认孩子是否生病在家/逃学

The system shows normal occupancy patterns with temporary sensor drift in specific rooms, automated window operations consistent with evening routines, and a standard auto-unlock triggered by the front door contact sensor being breached.

Explanation: Hypothesis H1 (Inconsistent Occupancy) is contradicted: The '0' readings at 18:00 were isolated to living_room and second_bedroom, while entrance, kids_room, master_bedroom, and dining_room remained occupied throughout, indicating people were present but not in those specific zones.

Explanation: Hypothesis H2 (Window Coverings) is explained: Windows opened at 20:46 and 22:35 occurred after lights were turned off (20:46) and shortly before leaving (22:35), consistent with user-initiated automation for privacy or cleaning rather than unauthorized access.

Explanation: Hypothesis H3 (Lock State Conflict) is explained: The front door contact sensor switched to 'True' (open/exit) immediately before the lock auto-unlocked at 22:35, which is the correct trigger sequence for an exit-assist automation rule, not a malfunction.

[2026-06-10T18:00:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-10T22:35:25] front_door_contact | BooleanState.StateValue = True

No immediate action required; logs indicate normal household activity.

Optional: Review automation rules if frequent window opening during low-light hours causes security concerns, though current behavior appears intentional.

[2026-06-10T22:35:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

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

[2026-06-10T22:35:26] front_door_lock | DoorLock.LockState = 1

[2026-06-10T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-10T17:55:08] kids_room_occupancy | OccupancySensing.Occupancy = 1

Timestamps and signal strength of all occupancy sensors between 17:55 and 18:05 to determine if the '0' reading was a glitch or sustained absence.

Motion detection history for living_room and second_bedroom specifically around 18:00 to rule out blind spots.

Command logs for window_covering devices at 20:46 and 22:35 to verify if they were user-initiated via app/voice or automated triggers.

System logs for the smart lock at 22:35 to identify the specific rule or sensor combination that triggered the 'Auto' unlock.

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

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

## Layout
Layout: 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": 13,
    "entrance": 17,
    "kids_room": 13,
    "master_bedroom": 14,
    "dining_room": 10,
    "living_room": 20,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:35:26] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Inconsistent occupancy transition in living room and second bedroom: Sensors reported 'Empty' (0) at 18:00, followed immediately by 'Occupied' (1) in entrance, kids_room, master_bedroom, dining_room, etc., suggesting either a sensor calibration failure or an impossible movement pattern where people appeared everywhere instantly after being gone.",
      "supported_by": ["[2026-06-10T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-10T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["[2026-06-10T17:58:03] dining_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-10T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Window coverings opened to 100% while the house appears partially occupied or during evening hours, potentially indicating unauthorized access preparation or malfunctioning automation.",
      "supported_by": ["[2026-06-10T20:46:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-10T22:35:19] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Door lock state conflict: Front door was manually locked at 18:10 (State=2), but later auto-unlocked at 22:35 (State=1) without a corresponding manual unlock event or high-confidence occupancy trigger in the immediate vicinity prior to 22:35.",
      "supported_by": ["[2026-06-10T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-10T22:35:26] fron


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

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

标记为异常事件，建议检查客厅传感器或确认是否有人

The pattern of total house evacuation followed by a single room re-occupation is consistent with residents leaving for an extended period (e.g., lunch or work) and returning to the master bedroom first before dispersing.

Explanation: All occupancy sensors reported '0' simultaneously at 12:00:00 and remained so through 13:00, indicating a complete departure from the premises rather than people hiding in rooms.

Explanation: The return event at 12:53:03 shows only the master bedroom becoming occupied while other zones remain empty, which is typical behavior upon arriving home (dropping bags/clothes) before moving to common areas.

Explanation: No door lock status changes or motion sensor calibration errors are present in the raw log to suggest forced entry or sensor malfunction; the temperature logs show normal environmental readings without anomalies.

Timestamped simultaneous zero-occupancy across all monitored zones starting at 12:00:00.

Isolated occupancy signal appearing solely in master_bedroom_occupancy at 12:53:03 after a 53-minute absence.

Verify with household members if they left during the 12:00-14:00 window.

Confirm that no appliances were remotely activated during the absence, as device activity counts were high.

[2026-06-14T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T12:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Sudden spike in Master Bedroom occupancy at 12:53:03 while other major zones remain empty, indicating selective re-entry.

Discrepancy between high room activity logs (Kitchen/Living) and lack of occupancy data prior to 12:00.

Door lock status transitions (unlock/lock timestamps) around 11:58 and 12:53 to confirm physical entry/exit points.

Detailed state changes of lights/appliances in the Kitchen and Living Room between 11:00-12:00 to verify if devices were triggered remotely or locally.

Motion sensor calibration flags or battery warnings that might cause false negative readings.

Video feed snapshots or doorbell footage from 11:55 to 13:00 to visually confirm presence/absence.

## 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": 751,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 9,
    "living_room": 19,
    "dining_room": 9,
    "master_bedroom": 10,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8,
    "balcony": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T12:00:00] dining_room_occupancy | OccupancySensing.Occu

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous total house evacuation followed by isolated re-occupation, suggesting potential security breach or unauthorized entry.",
      "supported_by": [
        "At 12:00:00, occupancy sensors in ALL monitored rooms (living, dining, bedrooms, bathrooms, entrance) report '0' simultaneously.",
        "At 13:00:00, most rooms remain empty ('0'), but the pattern of a complete sweep suggests a deliberate exit rather than random vacancy."
      ],
      "contradicted_by": [
        "The event count is high (751), indicating active device usage throughout the period, which might suggest residents are still present but hidden from motion sensors."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents left the house for a brief trip (e.g., lunch) and returned to the master bedroom shortly after.",
      "supported_by": [
        "Complete emptiness at 12:00 and 12:30 is consistent with leaving for work/school/lunch.",
        "Return to Master Bedroom at 12:53:03 aligns with typical return times before noon meals end or early afternoon starts.",
        "Other rooms remain empty until 13:00, possibly due to lag in sensor wake-up or resident staying only in the bedroom initially."
      ],
      "contradicted_by": [
        "High activity counts in Kitchen (9) and Living Room (19) over 12 hours without corresponding occupancy signals prior to 12:00 implies either remote control usage or sensor blind spots if people were actually inside during those high-activity windows."
      ]
    }
  ],
  "most_concerning_signals": [
    "Timestamped simultaneous zero-occupancy across all zones at 12:00:00, creating a 'house-wide vacuum' state.",
    "Sudden spike in Master Be


假期/出差模式中出现活动

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

All occupancy sensors have simultaneously failed and stuck in the 'empty' state since 18:00, despite temperature data indicating the house is still occupied.

Explanation: Temperature logs show a continuous cooling trend (23.29°C to 22.47°C) from 18:00 to 21:30, which physically confirms people are present inside generating heat; if the house were truly empty, temperatures would likely stabilize or rise due to lack of internal load.

Explanation: Occupancy reports for every single room type show a value of 0 at exactly :00 and :30 intervals starting at 18:00, creating an impossible scenario where everyone leaves instantly and never returns.

Explanation: The perfect temporal alignment of the zero-state across spatially dispersed rooms (entrance vs. master bedroom) combined with the contradiction from thermal data indicates a systemic sensor failure or software bug rather than human behavior.

Temperature drop from 23.29°C at 18:05 to 22.47°C at 21:30 proves occupancy.

Simultaneous 'Occupancy=0' reports from all 8 monitored zones at identical timestamps (e.g., 18:00:00) contradict the thermal evidence.

Immediately trigger a manual verification alert to the homeowner via phone/SMS.

Dispatch security personnel or request remote camera feed access to visually confirm the interior status.

Initiate diagnostic reset sequence for the occupancy sensor network and check edge gateway error logs for communication timeouts.

[2026-06-14T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous total house evacuation: All monitored rooms (living, dining, bedrooms, bathrooms) register zero occupancy at identical timestamps (18:00, 18:30, 19:00), suggesting either a rapid mass departure or a synchronized sensor failure.",
      "supported_by": ["suspicious_signals shows Occupancy=0 for every room type across three consecutive hourly intervals simultaneously"],
      "contradicted_by": ["room_activity counts show significant activity in kitchen, living_room, master_bedroom, etc., implying people were present just prior to the 18:00 drop-off; if everyone left instantly at exactly 18:00:00 without intermediate transitions, it is statistically improbable for a normal household"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor synchronization failure or clock drift: Multiple distinct motion sensors reporting 'empty' state at the exact millisecond of each other over multiple hours suggests a systemic software issue rather than human behavior.",
      "supported_by": ["The timestamp precision (down to seconds) is identical across all ~7 unique sensor types for every reported event"],
      "contradicted_by": ["No evidence provided regarding device health status, battery levels, or network connectivity in the packet; normal human movement rarely results in perfectly aligned 'empty' states across distant rooms"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T18:00:00] ... OccupancySensing.Occupancy = 0" (Recurring pattern across ALL rooms at 18:00, 18:30, 19:00)",
    "Perfect temporal alignment of empty-state reports from spatially dispersed sensors (e.g., entrance vs. master_bathroom)"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw MQTT/JSON payloads for error codes (e.g., 'timeout', 'calibration_fail') attached to occupancy events around 18:00.",
    "Verify the `event_count` distribution immediately preceding 18:00 to see if there was a sudden burst of 'exit' events or a silent cut-off.",
    "Cross-reference door_lock logs at entrance to confirm if doors were physically opened/closed at 18:00:00.",
    "Check network latency statistics between the edge gateway and cloud service to rule out data aggregation delays causing false simultaneous zeros."
  ],
  "provisional_risk": "medium"
}

## 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": [
    "[2026-06-14T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T18:00:00] 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 house evacuation: All monitored rooms (living, dining, bedrooms, bathrooms) register zero occupancy at identical timestamps (18:00, 18:30, 19:00), suggesting either a rapid mass departure or a synchronized sensor failure.",
      "supported_by": ["suspicious_signals shows Occupancy=0 for every room type across three consecutive hourly intervals simultaneously"],
      "contradicted_by": ["room_activity counts show significant activity in kitchen, living_room, master_bedroom, etc., implying people were present just prior to the 18:00 drop-off; if everyone left instantly at exactly 18:00:00 without intermediate transitions, it is statistically improbable for a normal household"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor synchronization failure or clock drift: Multiple distinct motion sensors reporting 'empty' state at the exact millisecond of each other over multiple hours suggests a systemic software issue rather than human behavior.",
      "supported_by": ["The timestamp precision (down to seconds) is identical across all ~7 unique sensor types for every reported event"],
      "contradicted_by": ["No evidence provided regarding device health status, battery levels, or network connectivity in the packet; normal human movement rarely results in perfectly aligned 'empty' states across distant rooms"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-14T18:00:00] ... OccupancySensing.Occupancy = 0" (Recurring pattern across ALL rooms at 18:00, 18:30, 19:00)",
    "Perfect temporal alignment of empty-state reports from spatially dispersed sensors (e.g., entrance vs. master_bathroom)"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw M


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

无成人在厨房（厨房 occupancy 信号模式+其他房间的 occupancy 信号表明成人不在厨房）

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

The sequence of events (occupancy present -> window closed -> door unlocked via automation -> light off) is consistent with a standard evening departure routine and does not indicate unauthorized access.

Explanation: Occupancy sensors confirmed presence in the master bedroom immediately prior to the window cover change at 22:15:16, indicating an authorized resident was present.

Explanation: The front door lock state changed to 'unlocked' at 22:15:25 with 'OperationSource=Auto', which aligns with a scheduled geofence exit or timer rather than a forced manual unlock by an intruder.

Explanation: The subsequent turning off of the master bedroom light confirms the resident vacated the room and exited the house normally.

[2026-06-22T22:15:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T22:15:25] front_door_lock | Event: LockOperation(..., OperationSource=Auto)

[2026-06-22T22:15:27] master_bedroom_light | OnOff.OnOff = False

No immediate action required; system behavior is within normal operational parameters.

[2026-06-22T22:15:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T18:11:00] front_door_lock | DoorLock.LockState = 2

[2026-06-22T20:41:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-22T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T17:55:04] kids_room_occupancy | OccupancySensing.Occupancy = 1

Check occupancy sensor readings for 'entrance', 'master_bedroom', and 'kitchen' specifically between 22:14:00 and 22:16:00 to confirm if anyone physically entered the house before the door unlocked.

Verify the 'OperationSource' for the front door lock event at 22:15:25 in the full protocol buffer; distinguish between 'Auto/Schedule', 'App Command', and 'Manual'.

Cross-reference the master bedroom window cover actuation log to see if it was preceded by a motion detection event or a specific user interaction command vs. a timer-based automation rule.

Review video feeds or doorbell logs if available for the 30-minute window prior to 22:15:00 to check for loitering or secondary entries.

## 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": 760,
  "salient_event_count": 60,
  "focus_event_count": 87,
  "room_activity": {
    "kitchen": 11,
    "entrance": 17,
    "kids_room": 10,
    "master_bedroom": 12,
    "master_bathroom": 9,
    "dining_room": 9,
    "living_room": 17,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T18:11:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T22:15:25] front_door_lock | Event: LockOpe

## 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 occupancy and departure sequence is consistent with a standard evening routine (arrival, activity in multiple rooms, departure from living areas, securing entry).",
      "supported_by": ["Occupancy sensors show presence at Entrance, Kids Room, Master Bedroom/Bathroom, Dining Room between 17:55-18:05.", "Living room and Second bedroom occupancy dropped to 0 around 18:00 while others remained active or were being vacated.", "Front door was manually locked at 18:11 shortly after the last reported high-activity zone interactions."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or 'tailgating' event detected between 22:15:16 and 22:15:25 involving the master bedroom window state and front door lock.",
      "supported_by": ["Master bedroom window covering position changed to 'closed/100%' at 22:15:16.", "Front door lock state changed to 'unlocked' (1) at 22:15:25.", "No explicit occupancy sensor trigger for the entrance or master bedroom is listed immediately preceding the unlock event in this summary, though raw logs may contain them."],
      "contradicted_by": ["The window cover change could be a scheduled automation triggered by darkness or time, rather than manual tampering.", "The door lock operation source is listed as 'Auto' at 22:15:25, which typically indicates a smart-lock schedule or geofence exit rather than manual forced unlocking."]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T22:15:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T22:15:25] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [