Sequence of events indicates a break-in attempt where an intruder entered the master bedroom at night, closed the curtains to avoid detection, and subsequently unlocked the front door (likely as a distraction or failed exit strategy) while the house was confirmed empty.

Explanation: Occupancy sensors consistently reported 0 from midnight until 22:45:07, confirming the home was empty during the incident window.

Explanation: At 22:45:12, shortly after occupancy returned in the master bedroom, the window covering moved to fully closed position (10000), suggesting an occupant inside was trying to hide their presence or secure the room.

Explanation: Two minutes later at 22:45:22, the front door lock state changed to 'unlocked' via an 'Auto' source. Given the house was empty prior to the window event, this automated unlock is highly irregular and suggests the smart-lock system was triggered by an external signal (e.g., motion outside) or a compromised routine rather than a legitimate resident.

Explanation: The temporal proximity between the curtain closure (hiding activity) and the door unlock creates a distinct pattern inconsistent with standard daily routines.

[2026-06-15T22:45:07] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Immediately contact local law enforcement to report a suspected burglary in progress or recent break-in.

Notify the homeowner to verify if they are safe and provide them with live camera feeds if available.

Do not approach the property physically until police have arrived; assume the situation is unsafe.

[2026-06-15T07:14:33] front_door_lock | DoorLock.LockState = 2

[2026-06-15T07:14:44] front_door_lock | DoorLock.LockState = 1

[2026-06-15T16:00:00] front_door_lock | DoorLock.LockState = 2

Timestamp precision between the Master Bedroom Window Covering change and the Front Door Unlock event to rule out system lag.

Source ID of the Front Door Lock operation at 22:45:22 (Manual vs Auto) to confirm if an external force triggered the unlock or if it was a scheduled disarming.

History of the Master Bedroom Window Contact Sensor (if available) to see if the window was actually opened/closed or just curtains moved.

Video footage from Entrance or Living Room cameras between 22:30 and 22:50.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1843,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "living_room": 21,
    "master_bedroom": 15,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:14:33] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:14:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T17:43:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T22:45:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T07:14:33] front_door_lock |

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry attempt detected around 22:45, characterized by a sequence of window closure followed immediately by door unlocking while the home is empty.",
      "supported_by": ["[2026-06-15T22:45:12] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Curtains fully closed at night)", "[2026-06-15T22:45:22] front_door_lock | DoorLock.LockState = 1 (Door unlocked shortly after curtain event)", "All occupancy sensors report 0 from 00:00 onwards (House empty during incident)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard daily routine involving manual locking/unlocking and automatic arming/disarming of security systems based on occupancy changes.",
      "supported_by": ["Lock operations at 07:14 and 16:00 match typical wake-up/return times", "Auto-lock/unlock events at 07:14:44 and 22:45:22 suggest automated security routines triggered by motion or schedule", "High activity counts in living room and entrance indicate normal human presence earlier in the day"],
      "contradicted_by": ["The specific timing of the 22:45 unlock combined with the preceding window event and confirmed empty house state makes it suspicious rather than purely routine"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-15T22:45:12] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-15T22:45:22] front_door_lock | DoorLock.LockState = 1",
    "Continuous zero occupancy reading starting at 2026-06-15T00:00:00"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamp precision between the Master Bedroom Window Covering change and the Front Door Unlo


{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "sensor_drift",
  "threat_description": "Simultaneous occupancy zeros are a sensor malfunction caused by data reporting drift, not actual vacancy, as temperatures continue to rise indicating human presence.",
  "reasoning": [
    "Raw logs show OccupancySensing.Occupancy=0 for all rooms at precise intervals (00:00, 00:30, etc.), initially suggesting the house is empty.",
    "However, temperature sensors in the kitchen and living room show continuous and significant rising values (2265 -> 2462) throughout the same period, which is characteristic of heating from human activity or cooking, contradicting an 'empty house' scenario.",
    "The discrepancy between the absolute zero occupancy count and the active thermal signature confirms a system-wide data aggregation or synchronization error (sensor drift/stuck state) rather than a physical security breach."
  ],
  "key_evidence": [
    "[2026-06-07T00:00:00] ... OccupancySensing.Occupancy = 0" repeated across all zones,
    "[2026-06-07T05:35:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2462" showing sustained activity heat signatures despite occupancy reports.
  ],
  "recommended_actions": [
    "Restart the central hub or reset the occupancy sensor firmware to clear the stuck state.",
    "Verify if the issue persists after reboot; if resolved, no further action needed.",
    "Review network connectivity logs during the incident window to check for packet loss causing data gaps."
  ]
}

[2026-06-07T00:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Review system logs for firmware updates, network timeouts, or clock skew issues that could cause timestamp misalignment in occupancy aggregation.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1392,
  "salient_event_count": 60,
  "focus_event_count": 84,
  "room_activity": {
    "kitchen": 12,
    "living_room": 24,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-0

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Complete house vacancy (No one home) during a period where significant room activity was recorded.",
      "supported_by": ["suspicious_signals showing Occupancy=0 for all rooms at 00:00, 00:30, 01:00, 01:30"],
      "contradicted_by": ["room_activity counts are high (e.g., living_room: 24, kitchen: 12), suggesting recent or simultaneous human presence"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Sensor calibration failure or synchronization error causing false negative occupancy readings while the house is occupied.",
      "supported_by": ["Simultaneous zero readings across multiple sensor types in different locations at precise intervals suggests a system-wide glitch rather than natural vacancy"],
      "contradicted_by": ["High event counts in specific rooms like living_room and kitchen which typically correlate with active occupancy"]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous 'OccupancySensing.Occupancy = 0' reported for Entrance, Living Room, Master Bedroom, Second Bedroom, Bathroom, and Kitchen at 00:00, 00:30, 01:00, and 01:30.",
    "Discrepancy between `room_activity` metrics showing substantial events in Living Room (24) and Kitchen (12) versus the absolute absence of detected occupants."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw motion sensor PIR trigger timestamps to see if actual movement occurred despite the aggregated report saying '0'.",
    "Verify the state of door contact sensors (entrance, windows) during the 00:00-01:30 window to confirm if doors were open/closed as expected for an occupied vs. empty house.",
    "Review system logs for firmware updates, network timeouts, or clock skew issues that could cause ti


The sequence of events at 07:16 is consistent with a resident arriving, manually locking the door (possibly to secure it before entering or due to habit), and then an automated system immediately re-securing or correcting the lock state based on contact sensor changes; no intrusion indicators exist.

Explanation: Occupancy sensors show '0' throughout the night until 07:16:11, when entrance occupancy becomes '1', indicating a resident arrived.

Explanation: At 07:16:20, the door was manually locked while the contact sensor flipped to False (door open) and back to True (door closed) within seconds, suggesting the resident entered and closed the door behind them.

Explanation: The subsequent 'Auto' unlock event at 07:16:24 likely represents a system correction or a scheduled routine triggered by the door closing/contact change, as the house remains unoccupied afterwards and temperatures remain normal.

Explanation: No evidence of forced entry, prolonged unauthorized access, or conflicting occupancy data exists.

[2026-06-09T07:16:11] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-09T07:16:20] front_door_lock | DoorLock.LockState = 2 (Locked)

[2026-06-09T07:16:22] front_door_contact | BooleanState.StateValue = False -> True

Review smart-home automation logs to verify if the 'Auto' source at 07:16:24 was a scheduled rule or a reaction to the contact sensor, to prevent future confusion in alerts.

Continue monitoring for any recurrence of this specific lock/unlock pattern combined with missing occupancy data.

[2026-06-09T18:25:00] front_door_lock | DoorLock.LockState = 2

[2026-06-09T22:06:44] front_door_lock | DoorLock.LockState = 1

The sequence shows Manual Lock -> Auto Unlock. If H1 is true, this might be a resident leaving (locking up? No, Type 1 usually Lock, Type 0 Unlock). Wait, logic check: Type 1 (Lock) at 07:16:20, then Type 0 (Unlock) at 07:16:24. This implies someone locked the door, then immediately unlocked it automatically. This contradicts a simple 'leaving' narrative where one would unlock upon entry. It suggests an anomaly like a sensor glitch triggering an auto-unlock shortly after a manual lock.

Sequence at 07:16:20 (Manual Lock) followed by 07:16:24 (Auto Unlock): A device locked the door manually, then an automated system unlocked it four minutes later while no occupancy was detected inside the house.

Total 1654 events vs only 60 salient events: High noise ratio, potential for missed subtle anomalies in the raw log data.

Check the specific device ID associated with the 'front_door_lock' at 07:16:24 to confirm if it was a scheduled automation rule or a motion-triggered action.

Verify if there were any transient occupancy signals in the 'entrance' zone between 07:15:00 and 07:17:00 that were filtered out as non-salient.

Review the history of the 'Auto' source logic to determine if it relies on external sensors (e.g., balcony motion) which might have been triggered by wind or pets rather than humans.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1654,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:16:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:16:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T18:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T22:06:44] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-09T07:16:20] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-09T07:16:24] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-09T1

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Household is currently unoccupied and secured during nighttime hours.",
      "supported_by": [
        "[2026-06-09T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-09T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-09T00:00:00] front_door_lock | DoorLock.LockState = 1 (Locked)",
        "All room activity counts are low, with highest in entrance (23) likely due to entry/exit logs."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized re-entry or door tampering event around 07:16 AM if the manual lock operation followed an unlocked state without prior occupancy detection.",
      "supported_by": [
        "[2026-06-09T07:16:20] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-09T07:16:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "No occupancy detected in entrance at 07:16:20 suggests no one was inside to initiate a standard 'open then close' sequence manually, though 'Auto' source at 07:16:24 implies a sensor triggered it immediately after.",
        "The sequence shows Manual Lock -> Auto Unlock. If H1 is true, this might be a resident leaving (locking up? No, Type 1 usually Lock, Type 0 Unlock). Wait, logic check: Type 1 (Lock) at 07:16:20, then Type 0 (Unlock) at 07:16:24. This implies someone locked the door, then immediately unlocked it automatically. This contradicts a simple 'leaving' narrative where one would unlock upon entry. It suggests an anomaly like a sensor glitch triggering an auto-u


All door operations correspond to verified occupancy events and physical contact sensor changes, confirming normal resident behavior.

Explanation: The manual unlock at 17:41 is immediately preceded by an 'entrance_occupancy = 1' event at 17:40:03, proving a person was present.

Explanation: The raw log explicitly shows the front_door_contact sensor transitioning to False (open) at 17:41:02, physically confirming the door was opened.

Explanation: The sequence of Unlock -> Door Open -> Auto-Lock matches standard exit procedures, contradicting the hypothesis of unauthorized entry or sensor failure.

[2026-06-19T17:40:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-19T17:41:02] front_door_contact | BooleanState.StateValue = False

Continue monitoring; no immediate action required.

Verify smart-home app history confirms the 17:41 unlock was performed by a known user ID for audit completeness.

[2026-06-19T07:15:27] front_door_lock | DoorLock.LockState = 2

[2026-06-19T07:15:35] front_door_lock | DoorLock.LockState = 1

[2026-06-19T16:05:00] front_door_lock | DoorLock.LockState = 2

Sensor synchronization failure or logic loop: Occupancy sensors consistently report '0' (empty) starting from 00:00, yet there are manual door operations occurring later in the day (17:41). If residents were home to perform these actions, occupancy should have been detected prior to leaving.

[2026-06-19T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

...all rooms show 0 occupancy from midnight onwards

High activity counts in room_activity for kitchen (10), living_room (21), etc., which usually correlate with human presence during active hours.

Check raw MQTT/Serial logs between 17:30 and 18:00 for any motion detection spikes in Entrance or Living Room before the 17:41 manual unlock.

Verify if the 'manual' operation at 17:41 corresponds to a specific user ID in the smart-home app history.

Cross-reference the timestamp of the manual unlock (17:41) with the last known geo-location of authorized users.

Inspect the state transition of the front door sensor (contact_sensor) immediately preceding and following the 17:41 lock/unlock events to see if the door was physically opened/closed.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1840,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 10,
    "living_room": 21,
    "master_bedroom": 14,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 26
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:15:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:15:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T22:48:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T07:15:27] front_door_lock |

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry attempt: Front door lock shows manual unlocking at 07:15, followed by an auto-lock, but later in the evening (17:41) it is manually unlocked again while the home appears empty. The sequence of manual unlock -> auto-lock -> manual unlock without corresponding occupancy events suggests a possible intrusion event or a 'looping' hack.",
      "supported_by": ["[2026-06-19T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-19T17:41:00] front_door_lock | DoorLock.LockState = 2", "[2026-06-19T22:48:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-19T22:48:21] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": ["No direct sensor data confirming someone inside after 17:41, other than window covering movement."]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine: Residents locked up at 17:41, closed curtains in master bedroom at 22:48, and the system recorded standard auto-lock cycles.",
      "supported_by": ["[2026-06-19T22:48:10] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": ["The manual unlock at 17:41 occurs after an earlier auto-lock cycle; if no one was present to manually unlock, this implies external access or a glitch."]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Sensor synchronization failure or logic loop: Occupancy sensors consistently report '0' (empty) starting from 00:00, yet there are manual door operations occurring later in the day (17:41). If residents were home to perform thes


The household is confirmed to be vacant during the night; simultaneous zero occupancy readings across all rooms align with normal overnight patterns and are consistent with rising ambient temperatures indicating no internal heat sources.

Explanation: Occupancy sensors in all monitored areas (living room, bedrooms, entrance, etc.) consistently report 'Occupancy = 0' at regular intervals between 00:00 and 04:00.

Explanation: There is a complete absence of any temperature increase or activity logs that would indicate human presence or heating usage, which contradicts the hypothesis of an intrusion or sensor failure causing false negatives.

Explanation: The pattern of zero occupancy combined with stable/gradually rising environmental temperatures is characteristic of a secure, empty home during sleeping hours.

Log entries showing 'OccupancySensing.Occupancy = 0' for every room at 00:00, 00:30, 01:00, ..., 04:00.

Temperature readings in kitchen and living room show gradual increases (2264 -> 2402) consistent with passive cooling loss rather than active heating from occupants.

No immediate intervention required as the state matches expected baseline behavior for an unoccupied residence.

[2026-06-07T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-07T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-07T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-07T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-07T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-07T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The household is completely unoccupied during the night (00:00-01:00) based on zero occupancy readings across all monitored rooms.",
      "supported_by": [
        "suspicious_signals containing multiple 'OccupancySensing.Occupancy = 0' entries for living_room, dining_room, bedrooms, and entrance at 00:00, 00:30, and 01:00.",
        "room_activity distribution showing low counts in sleeping areas (master_bedroom: 9, second_bedroom: 9) compared to active zones, though this could be baseline."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The home is currently empty due to residents having left for work or sleep earlier than the logging start time, resulting in a normal state of vacancy.",
      "supported_by": [
        "Zero activity logs specifically for high-risk entry points (entrance) and main living areas at 00:00-01:00 align with typical overnight vacancy patterns."
      ],
      "contradicted_by": [
        "High event count (1488 total, 78 focus events) combined with such uniform zero occupancy might suggest sensor malfunction or a specific intrusion attempt that was filtered out or not triggering motion."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential sensor failure or calibration drift causing false negative occupancy readings across the entire house simultaneously.",
      "supported_by": [
        "The absolute simultaneity of 'Occupancy = 0' across all rooms every 30 minutes suggests a systematic issue rather than natural human movement patterns.",
        "High volume of events (event_count: 1488) with many marked as salient/focus but no corresponding temperature changes or door lock states listed implies data gaps in other modalities."
      ],
      "contradicted_by": [
        "Lack of contradictory evidence like simultaneous door unlocking or window opening events which would accompany an intrusion despite sensors failing to detect presence."
      ]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous Occupancy=0 across ALL rooms including Entrance at 00:00-01:00 despite high event counts elsewhere.",
    "Absence of any temperature pattern data (temperature_patterns is empty) while temperature sensors are deployed in Kitchen, Kids Room, Living Room, and Master Bedroom."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw binary payload or debug logs for the occupancy sensors to verify if they are transmitting valid 'presence' packets or returning default/timeout values.",
    "Cross-reference door_lock state transitions between 23:00 and 02:00 to see if doors were locked/unlocked without triggering occupancy alerts.",
    "Inspect contact_sensor logs for windows and balcony doors during the 00:00-01:00 window to rule out forced entry bypassing motion detection.",
    "Verify power supply and battery levels for all occupancy sensors to rule out network dropout causing silence."
  ],
  "provisional_risk": "medium"
}
```

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1488,
  "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": [
    "[2026-06-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The household is completely unoccupied during the night (00:00-01:00) based on zero occupancy readings across all monitored rooms.",
      "supported_by": [
        "suspicious_signals containing multiple 'OccupancySensing.Occupancy = 0' entries for living_room, dining_room, bedrooms, and entrance at 00:00, 00:30, and 01:00.",
        "room_activity distribution showing low counts in sleeping areas (master_bedroom: 9, second_bedroom: 9) compared to active zones, though this could be baseline."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The home is currently empty due to residents having left for work or sleep earlier than the logging start time, resulting in a normal state of vacancy.",
      "supported_by": [
        "Zero activity logs specifically for high-risk entry points (entrance) and main living areas at 00:00-01:00 align with typical overnight vacancy patterns."
      ],
      "contradicted_by": [
        "High event count (1488 total, 78 focus events) combined with such uniform zero occupancy might suggest sensor malfunction or a specific intrusion attempt that was filtered out or not triggering motion."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential sensor failure or calibration drift causing false negative occupancy readings across the entire house simultaneously.",
      "supported_by": [
        "The absolute simultaneity of 'Occupancy = 0' across all rooms every 30 minutes suggests a systematic issue rather than natural human movement patterns.",
        "High volume of events (event_count: 1488) with many marked as salient/focus but no corresponding temp


The data indicates a normal Vacancy Mode with all occupants absent for the monitored period, despite minor sensor drift in temperature readings which is within expected operational variance.

Explanation: Raw logs confirm simultaneous 'Occupancy = 0' across all critical zones (bedrooms, living areas, entrance) from T00:00 to T04:00, supporting the hypothesis of an empty house.

Explanation: There is no evidence of intrusion; specifically, no unauthorized entry events or conflicting activity logs are present in the provided excerpt.

Explanation: Temperature values show a gradual increase (2278 -> 2406), consistent with ambient heating or lack of occupancy cooling, rather than an alarm condition like unattended cooking or fire risk.

Explanation: The discrepancy between high aggregate activity counts and zero motion sensor readings is resolved by understanding that 'activity' likely aggregates non-motion device states (e.g., plugs/locks) or historical smoothing, while instantaneous motion sensors correctly report vacancy.

Maintain current monitoring status as 'Vacant/Homeowner Away'.

[2026-06-14T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-14T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Simultaneous zero-occupancy reading across ALL rooms (Entrance, Living, Dining, Bedrooms, Bathrooms) from 00:00 to 01:00.

Discrepancy between high aggregate 'room_activity' counts and persistent 'Occupancy = 0' states in the salient event logs.

Timestamps and raw binary payload of the occupancy sensor events to check for packet loss or stuck 'false' flags.

Correlation between 'room_activity' events and specific sensor IDs to determine if the high activity came from non-motion sensors (e.g., door locks, smart plugs) while motion sensors remained dormant.

History of 'Occupancy' state transitions immediately preceding 00:00 to see if an abrupt departure was recorded.

Battery levels or signal strength of the motion sensors to rule out communication dropouts mimicking vacancy.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1488,
  "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": [
    "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-14T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Vacancy Mode / Empty House State: The home appears to be completely unoccupied for at least the first 3 hours of the monitoring period (00:00 - 01:00), indicated by zero occupancy across all monitored rooms including living areas and bedrooms.",
      "supported_by": ["suspicious_signals contains continuous 'OccupancySensing.Occupancy = 0' reports for all rooms (living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, entrance) from T00:00 to T01:00"],
      "contradicted_by": ["room_activity shows non-zero activity counts in kitchen (9), living_room (17), dining_room (9), etc., suggesting movement occurred prior to or during the snapshot time, but the specific suspicious signals override this with a definitive 'empty' status at the reported timestamps"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor Malfunction or Calibration Error: All motion sensors are reporting '0' simultaneously and repeatedly over a sustained period without any variation, which is statistically unlikely for a multi-room dwelling unless everyone left simultaneously or sensors failed.",
      "supported_by": ["suspicious_signals lists identical 'OccupancySensing.Occupancy = 0' events for every single room type listed in the layout at exact hourly intervals"],
      "contradicted_by": ["The 'room_activity' metric shows significant activity counts (e.g., 17 in living_room, 9 in kitchen), implying that either the sensors triggering these counts were different, the data aggregation logic differs from the instantaneous sensor readout, or there was high-speed transit between rooms not captured by the specific 'suspicious_signals' log filter"]
    }
  ],
  "most_co


The system indicates a normal overnight vacancy pattern with no signs of intrusion or sensor failure; the temperature rise is consistent with standard HVAC operation in an unoccupied home.

Explanation: All occupancy sensors consistently report '0' across all rooms from midnight to early morning, which aligns with a normal schedule where residents are asleep or have left the residence.

Explanation: Temperature logs show a steady increase (from ~22°C to ~24°C) without any spikes indicative of overheating, fire, or malfunctioning appliances, suggesting normal heating/cooling cycles.

Explanation: The absence of any light toggling, door/window state changes, or appliance activation events confirms that there was no human activity or forced entry during this window.

Explanation: The hypothesis of sensor synchronization failure is contradicted by the logical consistency of environmental data (temperature) alongside the occupancy data, ruling out a total system glitch.

Continuous zero-occupancy readings for 7+ rooms over multiple hours matches expected behavior for an empty house at night.

Ambient temperature gradually rose steadily, indicating active climate control rather than equipment failure or external heat source.

No ancillary event logs (lights, doors, appliances) were triggered between 00:00 and 04:00, confirming inactivity.

Log this period as a confirmed 'Vacant/Night' baseline for machine learning calibration.

No immediate user intervention required; continue standard monitoring.

Analyze light switch logs (<onoff_light>, <dimmable_light>) to see if any lights were manually toggled between 00:00 and 01:00.

Cross-reference appliance logs (dishwasher, air_conditioner) to determine if any devices were active without human presence.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "The entire residence is completely unoccupied (vacant) during a continuous monitoring window spanning midnight to early morning.",
      "supported_by": [
        "suspicious_signals: All occupancy sensors across living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, and entrance consistently report Occupancy = 0 at T+00:00, T+00:30, and T+01:00.",
        "event_count: High event count (1488) with low salient/focus ratios suggests background noise or sensor errors rather than human activity."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor synchronization failure or 'ghost' zero-state reporting affecting all zones simultaneously.",
      "supported_by": [
        "suspicious_signals: The identical timestamp (T+00:00, T+00:30, T+01:00) and value (Occupancy=0) for every single room's motion sensor is statistically improbable for natural human absence patterns if the house was previously occupied."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous zero-occupancy reading across all 7 monitored rooms at multiple consecutive hourly intervals.",
    "Absence of any 'focus events' despite high total event counts, indicating no significant user-triggered activities were logged."
  ],
  "what_to_verify_in_raw_log": [
    "Check battery levels and status flags for all PIR/motion sensors to rule out power loss causing default-zero states.",
    "Review door/window contact sensor logs for the entrance and specific windows/doors to verify if they are open/closed and when the last state change occurred.",
    "Analyze light switch logs (<onoff_light>


{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "intrusion",
  "threat_description": "Evidence strongly indicates a break-in where the intruder entered while residents were asleep (occupancy=0), bypassed or opened windows, and exited without triggering door contact alarms.",
  "reasoning": [
      "All indoor occupancy sensors reported '0' from midnight through 3:00 AM, indicating the house was unoccupied during the night hours.",
      "Despite the absence of occupants, temperature sensors recorded rising values (from ~22.6°C to ~23.6°C) between 00:00 and 03:00, suggesting human presence heating the environment.",
      "The sequence of events shows the kids' room window being opened at 06:25 (likely by an intruder before sunrise) and later closed/open cycles in the evening, correlating with the period when no one was home but heat was present.",
      "Crucially, the front door contact sensor never triggered a breach state ('False') during the critical night hours (00:00-04:00), implying the entry point was not the main door or the lock mechanism failed to detect the opening."
    ],
    "key_evidence": [
      "[2026-06-05T00:00:00] ... all rooms Occupancy = 0",
      "[2026-06-05T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2265" -> "[2026-06-05T03:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2364",
      "[2026-06-05T07:28:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
      "No 'BooleanState.StateValue = False' triggers on front_door_contact between 00:00 and 04:00"
    ],
    "recommended_actions": [
      "Immediately secure the property and do not enter until law enforcement arrives.",
      "Contact local police to file a report regarding the suspected intrusion and temperature anomalies.",
      "Check physical locks and window mechanisms for signs of tampering or forced entry.",
      "Review surveillance footage if available for timestamps around 00:00-04:00 and 06:25."
    ]
}

[2026-06-05T07:28:35] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-05T22:41:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-05T07:28:29] front_door_lock | DoorLock.LockState = 2

[2026-06-05T07:28:35] front_door_lock | DoorLock.LockState = 1

All indoor occupancy sensors reporting '0' at midnight while front door was locked manually shortly after.

Kids room window opened at 06:25, then fully closed/open cycle detected, potentially masking movement.

Contact sensor status for kids_room_window, master_bedroom_window, and front_door_contact around 00:00 - 01:00 to see if doors/windows were physically breached despite lock state changes.

Motion sensor raw data between 21:00 and 00:00 to verify if 'Occupancy = 0' is due to sensor failure or actual lack of humans.

Timestamps of any contact sensor triggers on windows/doors to correlate with window coverings movements.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 2294,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 8,
    "living_room": 15,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:28:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:28:35] front_door_lock | Event: L

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or intrusion attempt during the night.",
      "supported_by": ["[2026-06-05T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-05T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-05T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-05T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are home, with activity concentrated in high-traffic areas (Entrance, Living Room) and bedrooms showing occupancy later in the evening.",
      "supported_by": ["[2026-06-05T07:28:29] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-05T16:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-05T18:06:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-05T21:04:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-05T22:41:23] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": ["[2026-06-05T00:00:00] ... all sensors report Occupancy = 0"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Window opening sequence suggests an escape route creation followed by a potential breach.",
      "supported_by": ["[2026-06-05T06:25:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-05T21:04:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-05T22:41:23]


Evidence indicates an unauthorized entry event at 07:11 where the front door was manually locked from the outside immediately before occupants entered and re-locked the door.

Explanation: At 07:11:27, a manual lock operation (LockState=2) occurred while entrance occupancy was 0, indicating the action was initiated from the exterior.

Explanation: Three seconds later at 07:11:30, entrance occupancy registered as 1 and the door auto-disengaged (LockState=1), confirming someone entered the premises during this window.

Explanation: This sequence (external manual lock -> immediate internal entry) contradicts normal behavior where residents unlock doors to enter; it strongly suggests an intruder gained access via a key/code, locked the door to secure their presence or prevent others from following, and then entered.

[2026-06-08T07:11:29] front_door_contact | BooleanState.StateValue = False

[2026-06-08T07:11:30] entrance_occupancy | OccupancySensing.Occupancy = 1

Contact local law enforcement to report a potential break-in.

Change all home access codes and smart lock credentials immediately.

Inspect the front door for signs of forced entry or tampering with locks/handles.

[2026-06-08T16:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-08T17:52:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-08T22:46:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced re-entry event in the early morning (07:11) involving manual lock engagement followed immediately by auto-disengagement.",
      "supported_by": ["[2026-06-08T07:11:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-08T07:11:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-08T07:11:27] front_door_lock | DoorLock.LockState = 2", "[2026-06-08T07:11:30] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household members are sleeping in bedrooms and kitchen activity is low, consistent with nighttime/rest hours.",
      "supported_by": ["room_activity": {"master_bedroom": 13, "kitchen": 9}, "[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "...multiple bedroom occupancy = 0"],
      "contradicted_by": ["suspicious_signals containing rapid door lock state changes"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Window coverings were fully opened (100%) in multiple rooms during late night/early morning hours, which is atypical for security-conscious households unless occupants are awake.",
      "supported_by": ["[2026-06-08T06:45:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-08T21:03:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-08T22:46:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-08T07:11:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:11:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the 'Manual' lock operation at 07:11:27 corresponds to a user code entry or physical key usage from outside vs. inside.",
    "Verify if any motion sensor triggers occurred in the entrance hallway between 07:10 and 07:15.",
    "Cross-reference the window covering events with smart plug data for lamps or curtains motors to confirm human presence vs. automation."
  ],
  "provisional_risk": "medium"
}

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 2464,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 9,
    "living_room": 13,
    "dining_room": 7,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:11:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:11:30] front_door_lock | Event: L

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced re-entry event in the early morning (07:11) involving manual lock engagement followed immediately by auto-disengagement.",
      "supported_by": ["[2026-06-08T07:11:27] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-08T07:11:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-08T07:11:27] front_door_lock | DoorLock.LockState = 2", "[2026-06-08T07:11:30] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household members are sleeping in bedrooms and kitchen activity is low, consistent with nighttime/rest hours.",
      "supported_by": ["room_activity": {"master_bedroom": 13, "kitchen": 9}, "[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "...multiple bedroom occupancy = 0"],
      "contradicted_by": ["suspicious_signals containing rapid door lock state changes"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Window coverings were fully opened (100%) in multiple rooms during late night/early morning hours, which is atypical for security-conscious households unless occupants are awake.",
      "supported_by": ["[2026-06-08T06:45:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-08T21:03:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-08T22:46:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-08T07:11:27] front_d


The house is currently empty during the night with all security systems functioning normally and no signs of unauthorized entry or sensor failure.

Explanation: Occupancy sensors correctly reported '0' (empty) for all rooms from 00:00 to 03:00, consistent with a standard nighttime departure.

Explanation: Door contact logs confirm the front door was properly closed and locked manually at 17:48 and unlocked/locked via automated routine upon return at 22:27, ruling out tailgating or propping.

Explanation: Window covering operations occurred earlier in the evening (20:54) and later in the morning (06:38), not simultaneously with an unexplained occupancy spike, supporting normal user behavior rather than a breach.

Front door contact state transitioned to True (closed) immediately before Auto Unlock at 22:27:20.

No motion triggers or occupancy changes were recorded between 00:00 and 06:38.

Continue monitoring standard daily patterns.

Verify system status in the morning if no occupants are expected until scheduled arrival times.

[2026-06-15T07:21:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T16:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T17:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-15T22:27:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-15T06:38:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-15T07:21:30] front_door_lock | DoorLock.LockState = 2

[2026-06-15T07:21:37] front_door_lock | DoorLock.LockState = 1

Door sensor raw signal strength and contact closure duration during the 17:48 - 22:27 window to rule out door propping or bypass

Window covering motor current draw logs around 20:54 and 22:27 to confirm if curtains were moved manually or remotely

Audio transcriptions from entrance/living room sensors between 22:00 and 00:30 for signs of struggle or unknown voices

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 2291,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 19
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:21:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:21:37] front_door_lock | Event: L

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Standard household activity pattern with morning departure, evening arrival, and bedtime routines.",
      "supported_by": ["room_activity shows distributed usage across kitchen, living_room, bedrooms, and entrance throughout the day", "front_door_lock logs show Manual Lock at 07:21 (departure), Auto Unlock at 22:27 (return/night routine)", "Window coverings are closed in kids_room at 06:38 and opened later, consistent with sleep/wake cycles"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized re-entry indicated by conflicting occupancy states late at night.",
      "supported_by": ["Occupancy sensors report '0' (empty) for all rooms at 00:00:00", "At 22:27, windows were fully opened (kids_room, master_bedroom) while doors were locked/unlocked manually", "Discrepancy between high room activity counts earlier vs. zero occupancy reported at midnight suggests either sensor failure or unreported presence"],
      "contradicted_by": ["Manual lock operations at 17:48 and 22:27 suggest authorized human interaction rather than forced entry"]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous 'Empty' occupancy status across ALL monitored rooms at 00:00:00 despite prior high activity",
    "Sequence of window openings (kids_room @ 20:54, master_bedroom @ 22:27) immediately preceding the midnight occupancy reset",
    "Gap between manual door lock at 17:48 and next manual lock at 22:27 without clear intermediate exit event"
  ],
  "what_to_verify_in_raw_log": [
    "Detailed timestamps of motion sensor triggers vs. occupancy state changes between 20:00 and 01:00 to detect false negatives",
    "Door se


The kitchen temperature sensor exhibits a continuous and physically impossible upward drift (from ~226°C to ~240°C) indicating a critical hardware failure or calibration error.

Explanation: Occupancy sensors consistently report '0' across all zones, supporting the hypothesis that no humans are present.

Explanation: However, the `kitchen_temp_sensor` reports values starting at 2266 and rising steadily by ~15-20 units every 30 minutes, reaching 2404.

Explanation: Real-world room temperatures do not rise from ~22.6°C to ~240.4°C over a 4-hour period; this linear drift is characteristic of a stuck counter or malfunctioning sensor rather than an environmental hazard like a fire (which would show rapid exponential spikes).

Timestamped log showing kitchen_temp_sensor reading progression: 2266 -> 2290 -> ... -> 2404 between 00:00 and 04:00.

Simultaneous zero occupancy readings in all rooms, isolating the issue to the specific temperature sensor data integrity.

Immediately replace the faulty kitchen temperature sensor.

Verify the physical condition of the kitchen area to rule out any external heat sources affecting a damaged sensor before disposal/recycling.

[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

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

Event types associated with the high 'living_room' and 'kitchen' activity counts to distinguish between human movement, pet movement, or appliance automation.

Sensor health status logs for occupancy sensors to rule out battery failures or calibration drift.

Door lock status history to verify if the house was armed/disarmed appropriately during the reported empty state.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 1488,
  "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": [
    "[2026-06-28T00:00:00] 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
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "The home is currently unoccupied and in a secure 'Away' state, indicated by zero occupancy readings across all monitored rooms.",
      "supported_by": ["suspicious_signals shows Occupancy = 0 for entrance, living_room, dining_room, master_bedroom, second_bedroom, kids_room, and master_bathroom at multiple timestamps (00:00, 00:30, 01:00)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential sensor malfunction or false negative where occupants are present but not detected, especially given high activity counts (e.g., kitchen=9, living_room=17) despite empty readings.",
      "supported_by": ["room_activity shows non-zero event counts (up to 17) in key areas like the kitchen and living room while suspicious_signals report simultaneous occupancy=0"],
      "contradicted_by": ["Consistent reporting of 0 occupancy across all zones over a sustained period (at least 3 intervals) makes total system failure less likely than a specific anomaly type, such as pets triggering motion without registering human presence, or a time-sync issue."]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous 'Occupancy = 0' reports across ALL rooms (including entrance and bedrooms) coinciding with non-zero event counts in active areas like the kitchen and living room.",
    "The discrepancy between 'event_count' (1488 total events) and 'focus_event_count' (78) suggests significant background noise or automated triggers occurring when no humans are detected."
  ],
  "what_to_verify_in_raw_log": [
    "Raw timestamp data from entrance_occupancy_sensor to confirm if the door was ever opened during the log window.",
    "Event types associated with the hig


The system exhibits a consistent sensor malfunction where occupancy sensors report 'empty' for over 16 hours despite confirmed human activity (lights on, doors locked manually), indicating a calibration or reporting issue rather than an intrusion.

Explanation: Occupancy sensors reported '0' (empty) continuously from midnight until 06:22, yet the log shows residents turning on lights at 06:18 and performing manual door locks at 07:21, proving people were present inside.

Explanation: Manual lock operations occurred at 07:21, 16:27, and 18:10 with explicit 'OperationSource=Manual', confirming resident presence and agency, which contradicts the 'empty' sensor status.

Explanation: The window openings in the evening (20:59, 22:36) correlate with light toggling and subsequent automatic door unlocks, suggesting normal ventilation routines initiated by residents who are physically inside, not intruders.

[2026-06-16T06:18:09] kids_room_light | OnOff.OnOff = True

[2026-06-16T07:21:19] front_door_lock | Event: LockOperation(... OperationSource=Manual)

[2026-06-16T00:00:00] ..._occupancy | OccupancySensing.Occupancy = 0

Reset all room occupancy sensors to recalibrate against current physical state.

Verify battery levels and wiring connections for motion/occupancy detectors.

Review historical data to confirm if this is a recurring drift pattern before assuming tampering.

[2026-06-16T07:21:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-16T16:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-16T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-16T22:36:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-16T07:21:19] front_door_lock | DoorLock.LockState = 2

[2026-06-16T07:21:24] front_door_lock | DoorLock.LockState = 1

High room activity counts suggest recent movement, potentially indicating sensors reset to zero without reflecting current state, or a delay in reporting.

Sequential event: Kids' room window fully closed (06:18:12) -> Front door manually locked (07:21:19). This pattern resembles securing a room after an intrusion or preparation for departure without opening curtains first.

Late night window openings (20:59, 22:36) combined with high activity in living/dining areas could indicate someone entering through windows rather than the front door.

All occupancy sensors reading empty at midnight despite high activity counts earlier, raising questions about sensor calibration or tampering during peak activity hours.

Timestamps and sources of the window cover position changes to confirm if they were automated or manual.

Motion detection logs around the times of window changes (06:18, 20:59, 22:36) to see if any unauthorized movement was detected.

Detailed lock operation logs to verify who performed the manual locks and whether there were failed attempts or override codes used.

Historical occupancy data for the past 24 hours to correlate with the sudden drop to zero at midnight.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 2291,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T07:21:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T07:21:24] front_door_lock | Event: L

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential forced entry or break-in attempt indicated by window manipulation followed by door locking.",
      "supported_by": [
        "[2026-06-16T06:18:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window fully closed)",
        "[2026-06-16T20:59:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully open)",
        "[2026-06-16T22:36:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window fully open)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household activity involving manual locking and curtain adjustments.",
      "supported_by": [
        "Multiple LockOperation events with OperationSource=Manual at various times",
        "Room activity counts showing usage in kitchen, living room, bedrooms",
        "Curtains opened later in the evening (20:59, 22:36) possibly for ventilation or sleep prep"
      ],
      "contradicted_by": [
        "The sequence of closing the kids' room window early morning (06:18) immediately preceding the first manual lockout (07:21) is unusual if residents are inside; typically windows are opened upon waking or before leaving."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Discrepancy between occupancy sensor data and active security events suggests potential sensor failure or tampering.",
      "supported_by": [
        "Occupancy sensors in all rooms show '0' (empty) at 00:00:00",
        "Front door was manually locked multiple times while no occupancy was detected in entrance/bedrooms/living areas"
      ],
      "contradicted_by": [


The front door lock exhibited a critical malfunction where it automatically unlocked immediately after being manually locked, despite the contact sensor detecting an intrusion attempt (door opened) during that window.

Explanation: At 07:43:26, the user manually locked the front door (LockState=2).

Explanation: At 07:43:28, the door contact sensor triggered OPEN state (False), indicating someone opened the door while it was locked.

Explanation: At 07:43:36, the contact sensor closed again, but at 07:43:37, the system logged an 'Auto' unlock event (LockState=1).

Explanation: This sequence suggests either a forced entry override by an attacker exploiting a vulnerability or a severe firmware glitch causing the lock to disengage upon detecting the door state change without user authorization.

[2026-06-19T07:43:28] front_door_contact | BooleanState.StateValue = False

Immediately replace or service the front door smart lock hardware.

Check system logs for any unauthorized access attempts or firmware updates prior to the incident.

Temporarily disable auto-unlock routines and require manual verification for all door operations.

[2026-06-19T16:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T17:56:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-19T22:14:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-19T07:43:26] front_door_lock | DoorLock.LockState = 2

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Household occupancy follows a typical daily cycle: high activity during daytime hours (06:45 - 22:14) and complete absence at midnight.",
      "supported_by": ["room_activity shows significant counts in kitchen, living_room, dining_room between 07:00 and 22:00", "occupancy sensors report 0 for all rooms at 00:00:00"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized entry attempt involving the front door lock state transition from locked to unlocked without a corresponding manual unlock event immediately preceding it.",
      "supported_by": [
      "[2026-06-19T07:43:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
      "[2026-06-19T07:43:37] front_door_lock | DoorLock.LockState = 1",
      "[2026-06-19T07:43:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)" -> Locked at 07:43:26, Unlocked at 07:43:37 via Auto source"
    ],
    "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible window manipulation in the Kids' Room. The window covering was fully closed (0%) early morning and fully opened (100%) later in the day, which may be unusual if no one was present in that specific room during the closing/opening transition or if it happened while the child was away.",
      "supported_by": [
      "[2026-06-19T06:45:18] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
      "[2026-06-19T20:47:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
    ],
    "contradicted_by": [
      "Occupancy data does not explicitly show presence/absence correlation with these specific timestamps, but general activity suggests family presence."
    ]
    }
  ],
  "most_concerning_signals": [
    "Front door lock automatically unlocking (OperationSource=Auto) shortly after being manually locked, potentially indicating a system glitch, forced entry override, or tampering.",
    "Kids' room window shade state change occurring independently of explicit occupancy events, raising questions about who controlled it."
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw timestamped log for the 'front_door_lock' around 07:43:37 to determine if there was any associated contact sensor trigger or alarm activation before the auto-unlock.",
    "Review motion sensor logs specifically for 'kids_room' between 06:45:18 and 20:47:05 to see if anyone entered/exited the room when the shades were adjusted.",
    "Verify if the 'Auto' source for the door unlock corresponds to an automated routine (e.g., smart home schedule) or an external trigger."
  ],
  "provisional_risk": "medium"
}

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 2286,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 14,
    "dining_room": 8,
    "master_bedroom": 13,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T07:43:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T07:43:37] front_door_lock | Event: L

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Household occupancy follows a typical daily cycle: high activity during daytime hours (06:45 - 22:14) and complete absence at midnight.",
      "supported_by": ["room_activity shows significant counts in kitchen, living_room, dining_room between 07:00 and 22:00", "occupancy sensors report 0 for all rooms at 00:00:00"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential security breach or unauthorized entry attempt involving the front door lock state transition from locked to unlocked without a corresponding manual unlock event immediately preceding it.",
      "supported_by": [
      "[2026-06-19T07:43:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
      "[2026-06-19T07:43:37] front_door_lock | DoorLock.LockState = 1",
      "[2026-06-19T07:43:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)" -> Locked at 07:43:26, Unlocked at 07:43:37 via Auto source"
    ],
    "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible window manipulation in the Kids' Room. The window covering was fully closed (0%) early morning and fully opened (100%) later in the day, which may be unusual if no one was present in that specific room during the closing/opening transition or if it happened while the child was away.",
      "supported_by": [
      "[2026-06-19T06:45:18] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
      "[2026-06-19T20:47:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
    ],
    "contradicted_by": [
      "Occupancy data does not explicitly show


Multiple manual front door lock/unlock cycles during unoccupied hours combined with a window state change in the children's room suggest potential unauthorized entry or attempted forced exit.

Explanation: Occupancy logs show all rooms (including entrance and living room) were empty at 00:00:00 and remained so until 16:04:19 when occupancy was first detected at the entrance.

Explanation: Three distinct manual lock operations occurred on the front door (07:34, 16:05, 17:48) while the house was officially unoccupied based on sensor data, indicating either an intruder manipulating locks or a resident performing unusual routines after leaving.

Explanation: The children's room window state changed from 'closed' (0) to 'open' (10000) between 06:11 and 21:00. Given the window covering sensor type ambiguity ('LiftPercent'), if 0 means closed and 10000 means open, this represents a significant physical change that correlates temporally with the suspicious door activity.

Explanation: No motion sensors were triggered in the kids' room immediately prior to the window state change at 06:11, suggesting the action may have been done quietly or via automation/script rather than active human presence detected by PIR.

Review security camera footage for the front door and children's room windows specifically around 07:34, 16:05, and 17:48 to identify any unknown persons.

Verify the calibration of the kids_room_window sensor to confirm if value '0' corresponds to 'closed' or 'open' to rule out sensor inversion as a cause.

Check mobile device logs or smart home app history for manual commands issued from external networks or unrecognized devices during the flagged times.

[2026-06-26T07:34:25] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T16:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T17:48:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-26T22:38:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-26T07:34:16] front_door_lock | DoorLock.LockState = 2

[2026-06-26T07:34:25] front_door_lock | DoorLock.LockState = 1

Check if the kitchen or bathroom leak sensors triggered around the time of the front door activity.

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## 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": "SQ4",
  "event_count": 2465,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 12,
    "master_bathroom": 8,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T07:34:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T07:34:25] front_door_lock | Event: L

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

## Query
以下是家庭设备的综合状态报告。请综合分析所有信息，判断家庭当前的安全状况，指出任何潜在风险。

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced exit attempt involving the front door and children's room window.",
      "supported_by": [
        "suspicious_signals[0-4]: Multiple manual lock/unlock cycles on the front door (LockState 2 -> 1) at 07:34, 16:05, 17:48, and 22:38.",
        "suspicious_signals[5-6]: Kids room window covering reported as fully closed (0) early morning (06:11), followed by a state change to fully open (10000) late evening (21:00)."
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine household occupancy patterns with lights off during sleep hours.",
      "supported_by": [
        "room_activity: High activity in entrance (21) and living_room (16) suggesting daytime presence.",
        "suspicious_signals[13-19]: All rooms report Occupancy = 0 at 00:00:00, consistent with sleeping hours."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-26T06:11:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-26T21:00:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
  ],
  "what_to_verify_in_raw_log": [
    "Check if the kids_room_window sensor type is a contact sensor or a position sensor; verify if '0' indicates 'open' or 'closed' based on device calibration logs.",
    "Correlate timestamps of the kids_room window state changes with any motion detection events in the kids_room or adjacent areas.",
    "Verify the source IP/MAC address for the manual front_door_lock operations at 07:34, 16:05, and 17:48 to confirm user identity.",
    "Check if the kitchen or bathroom leak sensors triggered around the tim