1分钟内多次灯光开关 可能原因：智能家居系统被入侵/远程控制；设备自动化规则冲突；或电路问题 也可能是恐慌信号（住户通过反复开关灯试图引起注意）

通知住户检查是否有人误操作或系统异常

Evidence indicates a forced or unauthorized entry attempt at 06:53 where the door was manually locked and immediately auto-unlocked while the contact sensor detected an open state.

Explanation: At 06:53:06, the resident manually locked the front door (OperationType=1).

Explanation: Immediately after, the door contact sensor registered as 'False' (open) between 06:53:08 and 06:53:16, indicating the door was physically opened against the lock mechanism.

Explanation: The system automatically unlocked the door (OperationType=0, Source=Auto) at 06:53:17, likely due to a triggered security rule detecting the open state or a specific bypass event, rather than manual user input.

Explanation: This rapid cycle (Lock -> Open Detected -> Auto Unlock) within 11 seconds is inconsistent with normal behavior and strongly suggests an intrusion attempt that was either interrupted or resulted in the door being left unlatched before the next manual lock at 08:30.

[2026-06-19T06:53:08] front_door_contact | BooleanState.StateValue = False

[2026-06-19T06:53:16] front_door_contact | BooleanState.StateValue = True

Inspect the front door lock mechanism for signs of tampering, jamming, or forced entry damage.

Check video footage from the front door camera (if available) for the time range 06:52 to 06:55 to identify the intruder or cause of the disturbance.

Review smart-lock logs to determine if the 'Auto' unlock source corresponds to a known schedule or a security breach trigger.

Raw motion sensor timestamps around 06:53:00 to confirm if human movement coincided with the rapid lock/unlock event.

Raw window cover actuation logs to verify if the bedroom curtains were manipulated during the suspicious lock events.

Check if the 'Auto' unlock source corresponds to a valid smart-lock schedule or an external trigger (e.g., keypad code, remote signal).

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1860,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 20,
    "living_room": 25,
    "bedroom": 19,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-19T06:53:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T06:53:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T08:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-19T20:53:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-19T05:33:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-19T06:53:06] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T06:53:17] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-19T08:30:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-19T12:32:14] bedroom_window | WindowCovering.CurrentPosition

## 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": "Suspected unauthorized entry or forced exit due to rapid lock cycle and occupancy mismatch.",
      "supported_by": [
        "[2026-06-19T06:53:06] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-19T06:53:17] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-19T08:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident follows a standard daily routine of leaving (locking) and returning (unlocking).",
      "supported_by": [
        "Regular intervals between manual lock/unlock operations (approx. 1.5 hours and 12 hours).",
        "DoorLock.LockState transitions correlate with LockOperation events."
      ],
      "contradicted_by": [
        "Room activity counts are high (Kitchen 20, Living Room 25) while occupancy sensors at midnight show 0 for all rooms.",
        "Rapid lock unlock sequence (11 seconds apart) is unusual for normal behavior."
      ]
    }
  ],
  "most_concerning_signals": [
    "Rapid Manual Lock followed immediately by Auto Unlock (06:53:06 -> 06:53:17): Suggests door was opened, perhaps bypassed or forced open momentarily, then auto-relocked before the resident could fully secure it manually.",
    "Occupancy Sensors vs. Room Activity: High activity counts in Kitchen/Living Room combined with 'Occupancy = 0' readings at 00:00 and 00:30 suggests either sensor failure, data aggregation lag, or that 'activity' refers to device interaction rather than human presence."
  ],
  "what_to_verify_in_raw_log": [
    "Ra


超过合理时间（10分钟）仍未自动锁定，且 AutoRelockTime 可能未启用

通知老人远程锁门，或自动锁门

High probability of unauthorized entry at the front door during early morning hours (01:24) where the occupant was not detected by sensors before locking, suggesting a bypass or tailgating event.

Explanation: At 01:24:00, a manual lock operation occurred followed immediately by the door opening and closing, yet the entrance occupancy sensor remained '0' throughout the entire sequence (01:24:00 - 01:30:00).

Explanation: This discrepancy indicates that either an intruder entered without triggering motion sensors or the resident locked the door from inside after an undetected breach/tailgate.

Explanation: The temperature drift observed later in the log is likely environmental noise and does not contradict the security anomaly.

[2026-06-18T01:24:10] entrance_occupancy | Occupancy = 0

Review physical CCTV footage for the front door area between 01:20 and 01:30 to identify any persons present.

Inspect the entrance hall motion sensor for potential misalignment, obstruction, or malfunction causing false negatives.

Temporarily lower the alarm arming threshold for the entrance zone until the sensor issue is resolved.

The timing of H1 suggests these might be reactions to forced re-entry attempts rather than routine exits

LockOperation at 01:24:00 followed by no occupancy data in the entrance hall, suggesting someone may have entered while the system was inactive or bypassed it.

Bedroom window fully closed (0%) at 05:30:10 and 13:58:04 while occupancy sensors report empty rooms, indicating potential tampering from the outside.

Multiple rapid state toggles on the front door lock within short intervals.

Check raw video feed or infrared timestamps for the entrance hallway around 01:24:00 to see if a person was detected before the lock event.

Verify if the 'bedroom_window' actuator commands match the reported position changes; check for motor current spikes indicating forced movement.

Cross-reference the 'front_door_lock' manual operation logs with any external motion detection data to rule out false positives from pets or wind.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1854,
  "salient_event_count": 60,
  "focus_event_count": 96,
  "room_activity": {
    "kitchen": 21,
    "living_room": 21,
    "bedroom": 16,
    "bathroom": 10,
    "entrance": 28
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T01:24:00] front_door_lock | Event: LockOperation(LockOperationType=1)",
    "[2026-06-18T06:54:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T06:54:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T08:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T20:40:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-18T01:34:00] front_door_lock | LockState = 2",
    "[2026-06-18T05:30:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-18T06:54:02] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-18T06:54:09] front_door_lock | DoorLock.LockState

## 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 tailgating attempt at the front door in the early morning (01:24) and evening (08:33), indicated by manual locking events immediately followed by state changes without corresponding motion sensor triggers in the entrance hall.",
      "supported_by": ["[2026-06-18T01:24:00] front_door_lock | Event: LockOperation(LockOperationType=1)", "[2026-06-18T08:33:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "Absence of 'entrance_occupancy' events between 00:00 and 08:33 despite lock operations"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious window activity in the bedroom during non-standard hours (late night/early morning), specifically opening/closing cycles that do not align with typical waking/sleeping patterns for an elderly resident living alone.",
      "supported_by": ["[2026-06-18T05:30:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-18T13:58:04] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-18T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine automated security protocols executed successfully (e.g., auto-locking doors upon exit, curtain adjustments).",
      "supported_by": ["[2026-06-18T06:54:09] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-18T20:40:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": ["The timing of H1 suggests these might be re


灶具开着 + 厨房无人 + 老人在其他房间
跟 FG-01 类似但在老人场景下更危险（认知衰退风险更高）

No security threat detected; observed sequences are consistent with resident activities and system initialization patterns.

Explanation: The 'Manual Lock' followed immediately by 'Auto Unlock' at 07:09 is explained by the presence of a resident (Occupancy=1 at 07:09:08) entering the home, triggering an automated welcome/unlock sequence after manual engagement.

Explanation: The window opening at 13:59 is corroborated by occupancy data showing presence in the entrance and living room shortly before/after, indicating a resident opened it for ventilation or light.

Explanation: Zero occupancy values at 00:00 and 00:30 align with scheduled system reporting intervals rather than actual absence, as temperatures continue to rise steadily during this period.

[2026-06-15T07:09:08] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-15T13:59:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-15T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2263

Verify smart lock configuration to ensure auto-unlock behavior matches user expectations.

Bedroom window fully opens (10000%) during daylight hours (13:59) without corresponding occupancy data suggesting someone is there to do so.

System initialization or scheduled maintenance events causing timestamped occupancy zeros.

Multiple rooms show Occupancy=0 exactly at 00:00:00 and 00:30:00.

This pattern resembles system resets or scheduled reporting intervals rather than continuous absence.

If these are system resets, they should not be flagged as 'suspicious_signals' alongside lock/window anomalies unless the system is misconfigured.

Sequence: Manual Lock (07:09) -> Auto Unlock (07:09): Suggests forced unlock or smart lock malfunction/tampering shortly after manual engagement.

Time mismatch: Bedroom window fully opened (10000%) at 13:59 while no occupancy signal is present in the raw log snippet for that specific minute.

Recurring pattern: Door lock toggling between Manual and Auto sources within minutes of each other.

Check `contact_sensor` states for `front_door` and `bedroom_window` immediately surrounding the lock operation timestamps to confirm if doors/windows were physically breached.

Verify the definition of `LockOperationType`: Does Type 1 mean 'Unlock' or 'Lock'? The current interpretation assumes 1=Lock, 0=Unlock based on context, but verification is needed.

Cross-reference `window_covering` motor logs with power consumption spikes to determine if curtains were mechanically forced open.

Check `occupancy_sensor` history specifically around 13:59 in the bedroom to see if a brief presence was missed or filtered out.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1855,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 21,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 11,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:09:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:09:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T20:37:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T05:37:11] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-15T07:09:05] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-15T07:09:08] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-15T08:29:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-15T12:25:07] bedroom_window | WindowCovering.CurrentPosition

## 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 involving the front door and bedroom window.",
      "supported_by": [
        "[2026-06-15T07:09:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-15T07:09:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-15T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-15T20:37:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-15T13:59:06] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-15T20:37:27] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No explicit 'Door Open' sensor state transition logs provided in the snippet to confirm physical breach."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard daily routine of an elderly resident (locking/unlocking door, opening/closing curtains).",
      "supported_by": [
        "Lock operations occur at typical morning (07:09) and evening (20:37) times.",
        "Curtain movements (0 -> 10000 -> 0 -> 10000) correlate with light cycles (morning open, afternoon close, evening open)."
      ],
      "contradicted_by": [
        "The specific sequence of Manual Lock followed immediately by Auto Unlock is unusual for a standard departure/arrival cycle and suggests potential tampering or automated override.",
        "Bedroom window fully opens (10000%) during daylight hours (13:59) without corresponding occupancy data suggesting someon


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

The system logs confirm a legitimate morning routine where residents entered the home between 02:30 and 07:10, with the front door manually unlocked at 07:07 and automatically re-locked by the system shortly after, indicating no intrusion occurred.

Explanation: Occupancy sensors show clear transitions from '0' to '1' starting at 02:30 (Living Room/Kitchen) and 02:40 (Entrance), confirming human presence inside before the 07:07 event.

Explanation: At 07:07:03, the front door was manually unlocked while occupancy in the kitchen was already active, consistent with a resident returning home rather than an intruder forcing entry.

Explanation: The automatic lock operation at 07:07:11 followed immediately by normal daily activities (lights on at 05:34 earlier, cooking/occupancy later) aligns with standard behavior, not a security breach.

[2026-06-05T02:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-05T02:32:00] kitchen_occupancy | Occupancy = 1

[2026-06-05T02:40:00] entrance_occupancy | Occupancy = 1

[2026-06-05T07:07:03] kitchen_occupancy | OccupancySensing.Occupancy = 1

No immediate action required; continue monitoring standard household activity.

Verify that the auto-lock timer is functioning correctly if future manual unlocks do not result in timely auto-locks.

Suspected presence of an intruder hiding in the residence. Occupancy sensors across all monitored areas (Living Room, Bedroom, Kitchen, Bathroom, Entrance) report 'Occupied' (non-zero implied by lack of reset events compared to midnight baseline, though data snippet only shows 0s, the context of 'focus_event_count' implies active detection) or conversely, the sudden shift from total emptiness at 00:00 to activity might indicate a break-in.

The provided evidence packet explicitly lists occupancy as 0 at 00:00:00 and 00:30:00. It does not provide continuous occupancy logs showing when people actually entered the rooms during the day. Without explicit 'Occupancy=1' events in the suspicious_signals list for specific times, H3 relies on inference from the door lock anomaly rather than direct sensor data.

Timestamped occupancy state transitions (0 to 1) for Kitchen, Living Room, and Bedroom immediately surrounding 07:07:03 to determine if anyone entered the home legitimately.

Raw motion sensor video clips or audio logs from the Entrance hallway between 07:07:00 and 07:07:20 to verify who approached and opened the door.

History of the front_door_lock status prior to 07:07:03 to confirm if the door was already unlocked or if it was forced/unlatched from the outside.

Battery levels and network connectivity status of the front_door_lock sensor to rule out false positives caused by device malfunction.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1853,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 24,
    "living_room": 23,
    "bedroom": 18,
    "bathroom": 9,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-05T07:07:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T07:07:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T08:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-05T20:38:21] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-05T05:34:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-05T07:07:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T07:07:11] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-05T08:22:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-05T12:23:13] bedroom_window | WindowCovering.CurrentPositionL

## 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 'tailgating' event: Front door was manually unlocked at 07:07:03, locked automatically at 07:07:11 (8 seconds later), but the system log indicates occupancy in multiple rooms (kitchen, living room, bedroom) starting exactly at 00:00:00 and persisting through the morning. The sequence of manual unlock followed by auto-lock without an explicit manual re-lock event suggests a possible intrusion where the door was left ajar or forced open briefly before closing, or the resident failed to lock it properly after entering.",
      "supported_by": ["[2026-06-05T07:07:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-05T07:07:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-05T07:07:03] front_door_lock | DoorLock.LockState = 2", "[2026-06-05T07:07:11] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily routine with automated lighting/curtain control and standard locking behavior during waking hours.",
      "supported_by": ["Room activity distribution shows typical waking patterns (Kitchen/Living Room high early, Bedroom active mid-day)", "Curtain position changes align with light cycles (Closed at 05:34, Open at 12:23, Closed again at 14:05)", "Door lock operations show clear Manual Unlock -> Auto Lock cycle consistent with someone entering, then leaving or system timeout"],
      "contradicted_by": ["The specific gap between Manual Unlock and Auto Lock at 07:07:03/11 is unusually short for a full entry sequence if no subsequent manual lock occurred immediately, rai


一晚4次以上卧室→卫生间往返 间隔越来越短 可能的健康问题：泌尿系统感染、前列腺问题、糖尿病等

非紧急但需要记录，建议子女/看护者关注，如连续多天则建议就医

The front door lock exhibits a critical malfunction characterized by rapid state cycling and contradictory sensor readings immediately following manual operations.

Explanation: Analysis of the raw log at 07:00:09 reveals a 'Manual' lock command followed by an immediate 'Auto' unlock command within 3 seconds, accompanied by the door contact sensor reporting 'False' (open) while the lock state toggles rapidly between locked (2) and unlocked (1).

Explanation: This pattern repeats at 08:24:00, where the door is manually locked but immediately detected as open by the contact sensor, suggesting the mechanism failed to engage or the lock logic is corrupted.

Explanation: Unlike normal user behavior where a lock operation stabilizes, this device shows no stable state after manual intervention, indicating a hardware failure or severe firmware glitch that compromises security.

[2026-06-21T07:00:12] ... OperationSource=Auto ... LockState = 1

[2026-06-21T07:00:11] front_door_contact | BooleanState.StateValue = False

Immediately replace or service the front door lock unit due to suspected mechanical failure.

Verify the integrity of the door contact sensor wiring independently from the lock motor.

Bedroom window is fully open (10000ths) multiple times in quick succession (13:56, 20:35), which is unusual for an elderly resident living alone without further context of cleaning or ventilation needs.

Timestamps and duration of the front_door_lock state transitions to determine if they represent rapid cycling or distinct events.

Motion sensor logs for the entrance hallway immediately preceding and following the manual lock/unlock events.

System health logs to check for connectivity interruptions or firmware glitches that might explain the mixed 'Manual'/'Auto' sources.

Temperature and humidity logs near the bedroom window to correlate with the frequent opening/closing actions.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1894,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 21,
    "living_room": 20,
    "bedroom": 20,
    "bathroom": 12,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T07:00:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-21T07:00:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T08:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-21T20:35:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-21T05:35:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-21T07:00:09] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-21T07:00:12] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-21T08:24:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-21T12:20:11] bedroom_window | WindowCovering.CurrentPosition

## 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 tampering with the front door lock mechanism.",
      "supported_by": [
        "[2026-06-21T07:00:09] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-21T07:00:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-21T08:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-21T20:35:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily activities involving locking/unlocking doors and adjusting window coverings.",
      "supported_by": [
        "Room activity counts are distributed across kitchen (21), living_room (20), bedroom (20), bathroom (12), entrance (22).",
        "Window covering adjustments at 12:20 and 20:35 suggest daytime and evening routines."
      ],
      "contradicted_by": [
        "The specific sequence of 'Manual' then 'Auto' operations on the same minute for the front door could indicate a glitch or forced interaction rather than standard user behavior.",
        "Complete absence of occupancy data between 00:00 and 00:30 across all rooms suggests a sensor failure or total house vacancy during that period."
      ]
    }
  ],
  "most_concerning_signals": [
    "Front door lock shows alternating Manual (Lock) and Auto (Unlock) states within minutes (07:00:09 -> 07:00:12, 08:24:00 -> 20:35:16).",
    "Bedroom window is fully open (10000ths) multiple times in quick succession (13:56, 20:35), which is unusual for an elderly re


出门时间已知（LockOperation 事件）
预期回家时间已过但无 LockOperation 解锁事件
偏离日常规律超过1小时

9:30开始尝试联系，10:00后联系紧急联系人

Multiple manual lock attempts and door state fluctuations detected while occupancy sensors confirmed the house was empty, strongly indicating a break-in attempt or unauthorized entry.

Explanation: Occupancy logs show all rooms (Living Room, Kitchen, Bedroom, etc.) were empty from 00:30 until 07:03:06, yet a manual lock operation occurred at 07:03:05.

Explanation: Door state fluctuated between Locked (2) and Unlocked (1) immediately around 07:03:05-07:03:06 without corresponding human presence inside, suggesting forced manipulation.

Explanation: A second manual lock attempt occurred at 08:29:00 when entrance occupancy spiked to 1 but no subsequent auto-lock happened until evening, inconsistent with standard resident behavior.

[2026-06-15T07:03:06] kitchen_occupancy | OccupancySensing.Occupancy = 1

Review camera footage for the front door between 07:00 and 08:30 to identify the intruder or tailgater.

Check physical locks and door frames for signs of tampering or forced entry.

Contact local authorities if any suspicious items or damage are found upon inspection.

The temporal clustering of the 08:29:00 manual event followed by no subsequent auto-lock until 20:37 suggests an intrusion or confusion rather than normal flow.

Multiple manual lock attempts (Type 1) without corresponding immediate occupancy confirmation.

Door state fluctuating between locked (2) and unlocked (1) around 07:03.

Bedroom window state change (open to closed) occurring while house appears unoccupied.

Motion sensor logs for Entrance, Hallway, and Bedroom specifically between 06:00 and 09:00 to verify if anyone entered.

Camera footage (if available) for the entrance door during the 07:00-08:30 window.

Audio logs from the front door lock to determine if forced manipulation sounds were recorded.

Temperature logs in the kitchen to rule out any cooking-related activity that might explain the 08:29 movement.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1849,
  "salient_event_count": 60,
  "focus_event_count": 96,
  "room_activity": {
    "kitchen": 23,
    "living_room": 21,
    "bedroom": 21,
    "bathroom": 9,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:00:00] front_door_lock | Event: LockOperation(LockOperationType=1)",
    "[2026-06-15T07:03:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:03:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T20:37:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T05:39:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-15T07:03:05] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-15T07:03:11] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-15T08:29:00] front_door_lock | DoorLock.Lo

## 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": "Unusual early morning activity pattern involving multiple manual door interactions and window state changes, potentially indicating a break-in attempt or unauthorized entry.",
      "supported_by": [
        "[2026-06-15T07:03:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-15T08:29:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-15T07:03:05] front_door_lock | DoorLock.LockState = 2 (Unlocked immediately after manual lock attempt)",
        "[2026-06-15T13:51:02] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window closed shortly after being open)"
      ],
      "contradicted_by": [
        "No occupancy events detected in Living Room, Bedroom, Kitchen, Bathroom, or Entrance during the specific times of these anomalies."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident's routine morning departure and evening arrival sequence with automated locking/unlocking logic functioning correctly.",
      "supported_by": [
        "[2026-06-15T05:39:16] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Preparation for day)",
        "[2026-06-15T07:03:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (Door locked automatically)",
        "[2026-06-15T20:37:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (Door locked automatically upon return)"
      ],
      "contradicted_by": [
        "The presence of two distinct *manual* lock operations at 07:03:05 and 08:29:00 which are inconsistent with a standard single departure routine.


1分钟内多次灯光开关 可能原因：智能家居系统被入侵/远程控制；设备自动化规则冲突；或电路问题 也可能是恐慌信号（住户通过反复开关灯试图引起注意）

通知住户检查是否有人误操作或系统异常

The smart lock system exhibits a critical failure where it automatically unlocks the front door multiple times (both upon manual locking and during evening routine) without any corresponding user command or valid authentication event, indicating a compromised actuator or firmware logic error.

Explanation: Occupancy logs show zero presence from midnight until 05:34, which is consistent with normal sleep patterns for an empty house or residents sleeping deeply, ruling out 'abnormal_inactivity' as the primary threat.

Explanation: Temperature data shows a steady rise (from ~22°C to ~24°C) consistent with daytime heating/cooling cycles or lack of AC when no one is home, confirming sensors are functional and not stuck in 'away' mode erroneously.

Explanation: The most critical evidence is the sequence at 06:58:10: The door was manually locked (LockState=2), then immediately unlocked via 'Auto' source (LockState=1) within 5 seconds, with no preceding 'Unlock' event. This contradicts standard security protocols and indicates the lock hardware or controller is malfunctioning.

Explanation: A second identical anomaly occurs at 20:54:05, where the lock retracts automatically again, suggesting a systemic issue rather than a single glitch.

Immediately isolate the smart lock device from the network and perform a physical manual check to ensure the door remains secure.

Replace the battery pack (if applicable) or schedule immediate firmware recovery/replacement of the lock unit due to potential security breach risk.

Review access logs for the specific time window (06:58 - 08:34) to rule out any unknown key fob signals that might have triggered a false 'Auto' interpretation, though the probability of this is low given the timing relative to manual locks.

[2026-06-02T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-02T00:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0

No activity logs recorded between 00:00 and the next suspicious events (05:34), which might imply normal sleep duration, but the total lack of movement for over 5 hours is extreme for an active house.

Front door lock unlocked via 'Auto' source immediately after manual lock operation at 06:58:10.

Front door lock unlocked via 'Auto' source again at 20:54:05 without preceding manual unlock event.

Total occupancy reading of 0 across all rooms from 00:00:00 onwards.

Detailed authentication logs for the front_door_lock to see if the 'Auto' unlock was triggered by a valid key fob, app command, or unknown signal.

Motion sensor raw data timestamps to distinguish between true zero occupancy (no one home) vs. sensor failure/calibration issues during the night.

System log entries around 06:58 and 20:54 to check for firmware glitches or network anomalies causing false 'Auto' triggers.

Temperature trends in the bedroom to verify if the heating/cooling systems adjusted appropriately when occupancy dropped to 0, confirming the sensor status.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1862,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 21,
    "bedroom": 20,
    "bathroom": 10,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T06:58:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T06:58:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T08:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T20:54:05] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T05:34:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-02T06:58:05] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T06:58:10] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-02T08:34:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T12:21:13] bedroom_window | WindowCovering.CurrentPosition

## 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": "Suspicious automated door unlocking behavior followed by manual locking, suggesting potential unauthorized access attempts or a compromised smart lock system.",
      "supported_by": [
        "[2026-06-02T06:58:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T06:58:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-02T08:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T20:54:05] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine involving opening/closing curtains and automatic lighting/locking sequences.",
      "supported_by": [
        "[2026-06-02T12:21:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-02T14:05:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-02T20:54:05] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "[2026-06-02T06:58:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-02T08:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Prolonged absence of occupancy in all rooms starting at midnight, potentially indicating the resident is away or unable to move (given elderly profile).",
      "supported_by": [
        "[2026-06-02T0


灶具开启状态 + 厨房无人（occupancy=0）持续超过5分钟
厨房温度持续异常上升
最终烟雾报警器触发

立即提醒住户关闭灶具，如无法联系则自动关闭（如支持远程关闭）

A kitchen fire hazard is confirmed by a smoke alarm activation following high-temperature readings and cook surface usage, with the resident likely away or asleep at the time.

Explanation: Raw logs show a significant temperature rise in the kitchen sensor starting from ~22°C to over 240°C (values scaled, but trend indicates overheating) between 00:00 and 08:00.

Explanation: The cook surface was manually activated at 08:22, followed immediately by occupancy detection at 08:35 and a smoke alarm trigger at 08:37.

Explanation: At 08:37, the house occupancy sensors (living room, bedroom, entrance) all reported '0', indicating the resident was not present to extinguish a potential flare-up or investigate the smoke immediately.

Explanation: The sequence of high temps -> cooking start -> occupancy -> smoke alarm confirms an unattended cooking incident that escalated to a fire risk event.

[2026-06-14T08:22:00] kitchen_cook_surface | OnOff = True

[2026-06-14T08:37:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Immediately inspect the kitchen for fire damage, burnt food residue, or electrical issues on the stove.

Review thermal sensor calibration to ensure future readings accurately reflect danger levels without false positives.

Consider enabling automatic cut-off for the cook surface if it detects temperatures exceeding safe thresholds for extended periods.

Inconsistent window state reporting: The bedroom window covering position toggles between closed (0) and fully open (10000) multiple times within short intervals (e.g., 13:53 vs 20:54), which is physically unlikely for manual operation without visible movement logs, suggesting either a sensor glitch or automated blind control not reflected in other logs.

[2026-06-14T12:36:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-14T13:53:06] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-14T20:54:19] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Unexplained kitchen smoke alarm activation: A smoke alarm triggered at 08:37, yet no cooking surface activation or high temperature patterns are logged around that time. This discrepancy raises concerns about a fire hazard that went undetected by thermal sensors or a sensor malfunction leading to unnecessary evacuation risk.

Check raw logs for kitchen_temperature_sensor readings between 08:30 and 08:45 to rule out overheating appliances.

Verify if the cook_surface was activated before or during the smoke alarm event.

Cross-reference the timestamp of the 07:09 door unlock with the last known location of the resident (e.g., phone GPS or wearable data) to confirm if they were home.

Inspect motion sensor logs in the hallway/entrance area specifically between 07:09 and 07:12 to see if anyone entered after the manual unlock.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1858,
  "salient_event_count": 60,
  "focus_event_count": 98,
  "room_activity": {
    "kitchen": 25,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 10,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T07:09:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-14T07:09:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T08:22:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-14T08:37:00] kitchen_smoke_alarm | Event: SmokeAlarm()",
    "[2026-06-14T20:54:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T08:37:00] kitchen_smoke_alarm | SmokeState = 1",
    "[2026-06-14T05:23:13] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T07:09:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-14T07:09:12] front_door_lock | DoorLock.LockState = 1",
    "[2

## 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 intrusion or unauthorized access: The front door was manually unlocked at 07:09 and locked automatically at 07:12, but the house occupancy sensors registered as empty ('0') at midnight and early morning (00:00, 00:30). If the resident is asleep in another room (bedroom) or if the system logic for 'home' requires specific zones to be active, this rapid lock/unlock cycle while the main living areas are reported empty suggests someone entered and left quickly, or a malfunction in the occupancy sensor network.",
      "supported_by": ["[2026-06-14T07:09:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-14T07:09:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-14T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine followed by late-night entry/exit: The sequence of events (Door open -> Smoke alarm triggers -> Door closes automatically) could represent a delayed response from an external trigger (e.g., car alarm or neighbor's smoke) causing the auto-lock to engage, or a false positive that caused the user to re-check the door. However, given the elderly living alone context, any smoke event combined with door activity is suspicious.",
      "supported_by": ["[2026-06-14T08:37:00] kitchen_smoke_alarm | Event: SmokeAlarm()", "[2026-06-14T20:54:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Inconsistent window


与老人的日常作息规律（daily_routines 中的 elderly 画像）显著偏离

不是周末睡懒觉（老人每天作息一样）

上午8点后联系老人确认状况

The sequence of events is consistent with an automated 'Away/Good Night' routine triggered by the system detecting that all residents have left, rather than an unauthorized intrusion.

Explanation: Occupancy sensors remained at 0 from midnight through 5:33 AM, confirming no human presence during the early morning window.

Explanation: At 20:55 (8:55 PM), the door unlocked automatically and the bedroom light/window opened shortly after; this timing coincides exactly with the resident's departure time recorded later in the log (arrival at 08:34 next day suggests a long absence or shift work, but the 20:55 event aligns with leaving for the night).

Explanation: The temperature rise observed between 00:00 and 05:33 is gradual and correlates with ambient heating or HVAC cycles, lacking the rapid spike associated with active human occupancy.

[2026-06-02T20:55:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) followed immediately by window/light activation

Review smart-home automation logs to verify if an 'Evening Security' or 'Leave Home' routine was scheduled to trigger at 20:55.

Confirm resident's daily schedule to ensure the 20:55 departure time matches their expected routine.

Late night window interaction (00:30 - 05:33 timeframe gap between last reported occupancy and window closure/opening events)

Discrepancy between 'Occupancy = 0' at midnight and subsequent manual/auto door/window interactions occurring within a short window

Sequence of events: Door unlock -> Door lock -> Window close/open pattern occurring late at night

Check motion sensor logs specifically between 23:00 and 06:00 to confirm if any micro-movements were missed or filtered out.

Verify the timestamp precision of the 'WindowCovering' events vs. 'Occupancy' events to rule out clock skew.

Check smart plug or light logs for power consumption changes in the bedroom or living room corresponding to the suspicious timestamps.

Review system logs for any firmware updates or configuration changes that might have triggered automatic behaviors.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1854,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 21,
    "living_room": 24,
    "bedroom": 19,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:04:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:04:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T08:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T20:55:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-02T05:33:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-02T07:04:02] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T07:04:08] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-02T08:35:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-02T12:21:07] bedroom_window | WindowCovering.CurrentPosition

## 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": "Suspected unauthorized entry or burglary attempt during late-night hours, indicated by door locking/unlocking patterns inconsistent with the resident's likely sleep cycle and activity levels.",
      "supported_by": ["[2026-06-02T05:33:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window closed/closed state at 5:33 AM)", "[2026-06-02T20:55:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (Door unlocked at 8:55 PM while occupancy was previously low)", "[2026-06-02T20:55:30] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window opened slightly later at 8:55:30 PM)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident is awake and managing household chores/ventilation in the early morning before leaving for work/day activities.",
      "supported_by": ["[2026-06-02T07:04:02] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) (Door locked manually at 7:04 AM)", "[2026-06-02T07:04:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) (Door unlocked automatically shortly after)", "[2026-06-02T12:21:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Window opened during daytime for ventilation)", "[2026-06-02T14:01:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window closed during afternoon)"],
      "contradicted_by": ["[2026-06-02T00:00:00] ... OccupancySensing.Occupancy = 0 (No motion detected across all rooms at midnight suggests no one was home to perform these actions unless automated routines are active)"]
    }
  ],
  "most_


居家意外（任意位置跌倒/晕倒）

最后一次运动在非卧室房间（如客厅、厨房） 随后异常长时间无任何活动 不在正常午睡时段（比如上午10点或下午4点）

紧急联系老人，如无应答联系紧急联系人或120

Unauthorized entry detected via door contact sensor and window manipulation while occupancy sensors reported the house as empty.

Explanation: The front door contact sensor explicitly registered a state change to 'False' (open) at 07:03:10 and 08:38:02, confirming physical entry despite zero occupancy readings.

Explanation: Bedroom window coverings were manipulated to an open position at 12:22:06 and 20:40:15 while occupancy logs confirmed the bedroom and entire house were unoccupied.

Explanation: The pattern of door unlocking followed by immediate re-locking combined with active window tampering suggests an intruder bypassing security or testing access points during perceived vacancy.

[2026-06-17T07:03:10] front_door_contact | BooleanState.StateValue = False

[2026-06-17T08:38:02] front_door_contact | BooleanState.StateValue = False

[2026-06-17T12:22:06] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (while occupancy=0)

Immediately alert local law enforcement and provide them with the timestamped log evidence.

Dispatch on-site security personnel or trusted neighbors to verify the property status.

Review CCTV footage for the specific time windows (07:03, 08:38, 12:22, 20:40) to identify the intruder.

[2026-06-17T13:59:06] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-17T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0

Front door locked state became UNLOCKED (1) at 07:03:12 and 20:40:10 despite zero occupancy detected in all rooms.

Bedroom window coverings toggled from closed to open multiple times while the house was unoccupied.

Check 'front_door_contact_sensor' logs to verify if the physical door was actually opened during the time windows where LockState=1.

Verify the source ID and user context for any manual lock operations recorded around 07:03:08 and 08:38:00.

Cross-reference 'bedroom_window_covering' actuator logs to see if a motor command was issued remotely vs. local tampering.

Check historical occupancy logs between 00:00 and 00:30 to confirm if the '0' reading was a sensor failure or genuine absence.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1851,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 22,
    "bedroom": 19,
    "bathroom": 11,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T07:03:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T07:03:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T08:38:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T20:40:10] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T05:20:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-17T07:03:08] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T07:03:12] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T08:38:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T12:22:06] bedroom_window | WindowCovering.CurrentPosition

## 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 intrusion attempt or unauthorized access: Front door lock state changed to 'Unlocked' (State=1) twice while occupancy sensors in all rooms reported 'Empty' (0), suggesting no authorized resident was present to unlock the door.",
      "supported_by": [
        "[2026-06-17T07:03:12] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-17T20:40:10] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-17T00:00:00] ..._occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine automated security cycle: The pattern of manual locking/unlocking followed by automatic re-locking suggests the system is functioning as designed for an empty house (e.g., auto-lock upon exit, unlock only when specific conditions met, though here it shows manual override then auto state change).",
      "supported_by": [
        "[2026-06-17T07:03:08] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T07:03:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "[2026-06-17T07:03:12] front_door_lock | DoorLock.LockState = 1"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspicious window activity: Bedroom window covering position fluctuates significantly between fully closed (0) and fully open (10000) during times when the bedroom and entire house are reported as unoccupied.",
      "supported_by": [
        "[2026-06-17T05:20:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-17T12:22


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

The house was occupied during the times of suspicious door/window activity, confirming that manual locking and window closing were performed by residents rather than an intruder.

Explanation: Occupancy logs show humans present in living room (02:30-03:00), bedroom (06:50), kitchen (06:54, 08:24), and entrance (06:50) immediately preceding or coinciding with the manual lock events.

Explanation: The sequence of events shows a resident entering, manually securing doors/windows (likely after waking up or returning), and then leaving, which is consistent with routine behavior (e.g., checking locks before sleeping or upon return).

Explanation: There are no signs of forced entry (no tampering retries, no bypass codes), and the system returns to secure states automatically when the resident departs.

[2026-06-14T06:50:00] bedroom_occupancy | OccupancySensing.Occupancy = 1 followed immediately by [06:50:03] front_door_lock manual lock

[2026-06-14T08:24:03] kitchen_occupancy | OccupancySensing.Occupancy = 1 followed immediately by [08:25:00] front_door_lock manual lock

Review resident access logs to confirm these actions originated from known household devices if further verification is needed.

No immediate security intervention required; maintain current monitoring.

High frequency of manual lock attempts (twice in one hour gap) without corresponding occupancy spikes.

Events occur precisely during confirmed zero-occupancy windows, which is statistically unlikely for a sole resident if they are sleeping or absent elsewhere.

Multiple 'Manual' LockOperationType=1 events occurring while all room occupancy sensors report 0.

Bedroom window manipulated to closed position (0%) while home appears unoccupied.

Time clustering of suspicious events around early morning (05:30 - 08:25) when an elderly person is likely asleep or away.

Raw motion sensor logs for entrance and living room between 05:00 and 09:00 to confirm absence of human movement.

Door lock event history for signs of forced tampering, bypass codes, or failure retries preceding the successful locks.

Smartphone/Gateway connection logs to verify if manual lock commands originated from an external IP address or a local device associated with the resident.

Audio logs (if available) near the front door and bedroom window during the 05:30-08:25 window.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1855,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 25,
    "bedroom": 18,
    "bathroom": 9,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-14T06:50:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-14T06:50:06] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T08:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-14T20:43:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-14T05:30:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-14T06:50:03] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-14T06:50:06] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-14T08:25:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-14T12:31:08] bedroom_window | WindowCovering.CurrentPositionL

## 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 intruder activity or unauthorized entry/exit during unoccupied hours, indicated by multiple manual door lock operations and window manipulation when no occupancy is detected.",
      "supported_by": [
        "[2026-06-14T05:30:15] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window closed at 5:30 AM)",
        "[2026-06-14T06:50:03] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) (Manual lock attempt early morning)",
        "[2026-06-14T08:25:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual) (Second manual lock attempt same day)",
        "[2026-06-14T14:05:07] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window closed mid-day)",
        "[2026-06-14T20:43:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto) followed by state change",
        "Occupancy data shows all rooms empty between 00:00 and 00:30, yet suspicious events occur shortly after."
      ],
      "contradicted_by": [
        "No smoke or water leak alarms triggered.",
        "Door locks eventually show secure states (LockState=2)."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident performing routine chores (opening/closing windows for ventilation, locking/unlocking doors manually due to smart lock glitch or preference).",
      "supported_by": [
        "Pattern of opening then closing windows (05:30 close, 12:31 open, 14:05 close).",
        "Mix of manual and auto lock operations suggests interaction with the device rather than forced entry."
      ],
      "contradicted_by": [
        "High frequency of manual lock a


居家意外（任意位置跌倒/晕倒）

紧急联系老人，如无应答联系紧急联系人或120

Global occupancy sensors are reporting '0' for extended periods while temperature readings indicate active heating and later logs confirm residents were present in multiple rooms.

Explanation: Raw logs show all room occupancy sensors (Living, Bedroom, Kitchen, etc.) consistently reporting 0 from 00:00 to 04:30, which contradicts the 'Elderly Living Alone' context where residents should be asleep or moving around.

Explanation: Temperature sensor data proves human presence/activity during this period; values rose from 2272 at 00:00 to 2411 by 04:30, indicating a heated environment consistent with an occupied home, not an empty one.

Explanation: Later timestamps (e.g., 12:40, 14:04) explicitly show Occupancy=1 and window operations, confirming the system is capable of detecting presence, thus the earlier zeros are due to sensor failure or drift, creating a dangerous blind spot for intrusion detection.

[2026-06-01T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272

[2026-06-01T04:30:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2411

[2026-06-01T00:00:00] ... entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-01T12:40:02] bedroom_occupancy | OccupancySensing.Occupancy = 1

Immediately dispatch a technician to inspect and recalibrate all PIR/motion sensors, specifically focusing on the entryway and living areas.

Review camera footage or doorbell logs between 00:00 and 05:00 to verify if any unauthorized entry occurred despite the false negative occupancy reports.

Temporarily disable automatic 'Away Mode' until sensor integrity is restored to prevent arming the security system incorrectly.

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or presence of an intruder in the residence during nighttime hours, indicated by specific window and door state changes while all sensors report zero occupancy.",
      "supported_by": [
        "[2026-06-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T14:04:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window opened)",
        "[2026-06-01T14:04:09] ... followed by LockState change at 20:48"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident is awake and active within the house (Kitchen/Living Room activity) but sleeping in a different location not monitored by standard sensors, or sensors have blind spots.",
      "supported_by": [
        "room_activity": { "kitchen": 23, "living_room": 21 },
        "suspicious_signals": [
          "[2026-06-01T06:57:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
          "[2026-06-01T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
        ]
      ],
      "contradicted_by": [
        "Zero occupancy readings across ALL rooms including Kitchen and Living Room between 00:00 and 00:30 despite high activity counts elsewhere suggests a disconnect or that 'activity' refers to past events, not current state.",
        "The sequence of Bedroom Window opening at 14:04 followed by Door Lock State change at 20:48 (while occupancy remains 0) is temporally disjointed for a single continuous event."
      ]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous Zero Occupancy in ALL rooms (Living, Bedroom, Kitchen, Bathroom, Entrance) at 00:00 and 00:30, which contradicts the expectation of resident presence given the 'Elderly Living Alone' context and daytime activity logs.",
    "Bedroom Window state change to 'Open' (0%) at 14:04:09 occurring after a period of no recorded activity in that room, yet no corresponding motion trigger.",
    "Door Lock State changing to Unlocked (1) at 20:48:11 while global occupancy is still reported as 0, suggesting either a failed exit, a delayed lock/unlock cycle, or an intrusion point being accessed."
  ],
  "what_to_verify_in_raw_log": [
    "Check raw motion sensor PIR data for Bedroom and Entrance specifically around 14:00-15:00 to see if micro-movements were missed by the aggregator.",
    "Verify the timestamp accuracy and synchronization between the Window Covering actuator log and the Door Lock controller log.",
    "Review camera footage (if available) or access control logs to determine who operated the manual locks at 06:57 and 08:36 versus the automatic lock at 06:57:12.",
    "Check if the 'Occupancy = 0' readings are system resets or genuine sensor failures rather than lack of movement."
  ],
  "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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1854,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 23,
    "living_room": 21,
    "bedroom": 19,
    "bathroom": 10,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T06:57:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T06:57:12] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T20:48:11] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-01T05:34:14] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-01T06:57:04] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T06:57:12] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-01T08:36:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-01T12:40:07] bedroom_window | WindowCovering.CurrentPosition

## 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 presence of an intruder in the residence during nighttime hours, indicated by specific window and door state changes while all sensors report zero occupancy.",
      "supported_by": [
        "[2026-06-01T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:30:00] bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] kitchen_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:30:00] kitchen_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-01T14:04:09] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Window opened)",
        "[2026-06-01T14:04:09] ... followed by LockState change at 20:48"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident is awake and active within the house (Kitchen/Living Room activity) but sleeping in a different location not monitored by standard sensors, or sensors have blind spots.",
      "supported_by": [
        "room_activity": { "kitchen": 23, "living_room": 21 },
        "suspicious_signals": [
          "[2026-06-01T06:57:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
          "[2026-06-01T08:36:00] front_door_lock | Event: LockOperation(LockOperationType=1, Operation


不是周末睡懒觉（老人每天作息一样）

上午8点后联系老人确认状况

Evidence indicates a potential break-in involving unauthorized entry or manipulation of the front door lock during periods where occupancy sensors were inactive or misleadingly low.

Explanation: The raw log shows a critical sequence at 06:57:04 where a manual lock operation occurred immediately followed by the door state changing to '2' (Unlocked) and the contact sensor going False (Open), indicating the door was physically opened or unlocked without proper securing.

Explanation: This pattern repeats at 08:34, where the door is manually locked, then immediately transitions to Unlocked (State=2) and Open (Contact=False) before being auto-locked again, suggesting repeated attempts to manipulate the lock or tailgating.

Explanation: While occupancy sensors showed 0 in all rooms between midnight and 08:32, the specific timing of the door manipulation events coincides with gaps in confirmed human presence data, raising a high probability of an intruder entering while the system believed the house was empty.

[2026-06-06T06:57:06] front_door_contact | BooleanState.StateValue = False

Immediately change the front door smart lock code or credential.

Check physical door hinges and strike plates for signs of forced entry or tampering.

Review security camera footage (if available) specifically around 06:57 and 08:34 to identify any individuals at the entrance.

Sequence of events: Front door manually locked -> Auto unlocked -> Front door manually locked again -> Auto unlocked. This repetitive manual/auto cycle is unusual for normal routine.

No explicit alarm triggers listed in the evidence packet (only suspicious signals).

Front door LockState transitioning to 2 (Unlocked) following Manual LockOperationType=1 events.

Bedroom window state oscillating between 0 and 10000 (Fully Closed/Opened) multiple times.

Zero occupancy detected across all zones at 00:00 and 00:30 despite high event counts later in the day.

Timestamps of motion sensor triggers in the entrance hallway vs. front door lock status to confirm if anyone entered before the door was locked/unlocked.

Duration the door remained in LockState=2 (Unlocked) to determine if an intruder had access time.

Motion sensor logs specifically around the times of curtain/window toggling to see if human presence was confirmed in those specific moments.

Source IP or MAC address associated with the 'Manual' lock operations to distinguish between app control and physical keypad interaction.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1857,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 22,
    "bedroom": 18,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-06T06:57:04] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-06T06:57:14] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T08:34:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-06T20:49:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-06T05:20:10] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-06T06:57:04] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-06T06:57:14] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-06T08:34:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-06T12:30:17] bedroom_window | WindowCovering.CurrentPosition

## 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 attempt or break-in due to door lock manipulation and window state changes during low-occupancy periods.",
      "supported_by": [
        "Multiple manual lock operations (LockOperationType=1) at 06:57, 08:34 coinciding with DoorLock.LockState changing to '2' (Likely Unlocked/Open).",
        "Door unlocked via Auto mechanism at 06:57 and 20:49 immediately after manual interactions.",
        "Bedroom window position toggling between fully closed (0) and fully open (10000) multiple times throughout the day.",
        "Room activity counts show low occupancy in bedrooms (18) and bathrooms (10) relative to entrances/kitchen (22+), suggesting potential absence or staggered presence not matching a typical wake/sleep cycle.",
        "Zero occupancy readings for all rooms at 00:00 and 00:30, indicating no one was home during these early morning checks."
      ],
      "contradicted_by": [
        "High activity counts in kitchen and living room (22 each) suggest someone was likely inside during peak hours, possibly masking the intrusion if it occurred then, OR the resident is active while sensors report zero (false negative)."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Possible internal movement pattern inconsistent with a single elderly resident (e.g., two people moving furniture/windows or someone hiding/moving through rooms without triggering motion sensors effectively).",
      "supported_by": [
        "Frequent toggling of bedroom curtains and windows suggests deliberate action rather than natural environmental response.",
        "Sequence of events: Front door manually locked -> Auto unlocked -> Front door manually locke


一晚4次以上卧室→卫生间往返 间隔越来越短 可能的健康问题：泌尿系统感染、前列腺问题、糖尿病等

非紧急但需要记录，建议子女/看护者关注，如连续多天则建议就医

Evidence indicates an unauthorized entry attempt via the bedroom window while the resident was absent, characterized by automated curtain manipulation at odd hours and a subsequent rapid state cycle.

Explanation: The house was confirmed unoccupied (bedroom occupancy = 0) between midnight and 07:08, yet the bedroom light turned on at 05:33 followed immediately by curtains closing at 05:33:12, suggesting remote or automated tampering.

Explanation: A second anomalous event occurred at 13:54 where the bedroom curtains were dropped to 0% while the living room was occupied but the bedroom remained empty, indicating someone manipulated the device without being inside.

Explanation: At 20:53, after the front door was locked, the bedroom light came on again and the curtains cycled rapidly from closed to open within minutes, matching the pattern of an intruder testing access points or clearing visual lines of sight.

[2026-06-22T05:33:03] bedroom_light | OnOff.OnOff = True; [2026-06-22T05:33:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (House empty)

[2026-06-22T13:54:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Living room occupied, Bedroom empty)

[2026-06-22T20:53:21] bedroom_light | OnOff.OnOff = True; [2026-06-22T20:53:31] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Immediately inspect the physical condition of the bedroom window frame for signs of forced entry or pry marks.

Check motion sensor logs specifically for the bedroom corridor during the 05:33, 13:54, and 20:53 timestamps to locate potential intruders.

Review network logs for the smart motor controller to determine if the commands originated from an external IP address or a compromised local device.

Front door lock states appear consistent with resident usage patterns (manual lock at 07:07, auto unlock at 07:08)

Check motion sensor logs for the bedroom specifically around timestamps 05:33, 13:54, and 20:53 to confirm if any movement was detected near the window.

Review the front_door_lock contact sensor state immediately preceding and following the window manipulation events to rule out simultaneous entry attempts.

Verify if the 'Auto' source on the door lock at 07:08 corresponds to a scheduled automation or indicates a glitch/malfunction triggered by an external event.

Cross-reference battery levels or network logs for the bedroom window covering motor to detect signs of jamming or unauthorized remote commands.

## 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: 独居老人 (Elderly Living Alone)
- 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>
- bedroom: 卧室温度传感器<temperature_sensor>, 卧室灯<dimmable_light>, 卧室窗帘<window_covering>, 卧室窗户传感器<contact_sensor>, 卧室运动传感器<occupancy_sensor>, 床头灯<onoff_light>
- 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>, 厨房运动传感器<occupancy_sensor>
- living_room: 客厅温度传感器<temperature_sensor>, 客厅灯<dimmable_light>, 客厅烟雾报警器<smoke_co_alarm>, 客厅空调<air_conditioner>, 客厅窗帘<window_covering>, 客厅窗户传感器<contact_sensor>, 客厅运动传感器<occupancy_sensor>

## Evidence Packet
{
  "sq_type": "SQ4",
  "event_count": 1863,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 22,
    "living_room": 21,
    "bedroom": 21,
    "bathroom": 10,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:07:05] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:07:08] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T08:39:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T20:53:15] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T05:33:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
    "[2026-06-22T07:07:05] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T07:07:08] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T08:39:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-22T12:30:11] bedroom_window | WindowCovering.CurrentPosition

## 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": "Unauthorized or forced entry attempt into the bedroom via window manipulation during unoccupied hours.",
      "supported_by": ["[2026-06-22T05:33:12] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Curtains closed/opened at odd hour)", "[2026-06-22T13:54:08] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 0 (Sudden drop to 0 shortly after opening)", "[2026-06-22T20:53:31] bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Rapid cycle detected late evening)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine daily routine involving door locking/unlocking and normal window operation during daylight.",
      "supported_by": ["Lock operations correlate with typical wake-up (07:07) and sleep (20:53) times for an elderly person", "Window covering change at 12:30 aligns with lunchtime activity in living room/kitchen"],
      "contradicted_by": ["Multiple rapid state changes on the bedroom window sensor within short intervals (e.g., 13:54 to 20:53) suggest automated tampering or physical struggle rather than manual adjustment"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential security breach where intruder manipulates smart home devices or enters through windows while the system shows no occupancy detection.",
      "supported_by": ["Room activity counts show low presence in bathroom/entrance compared to kitchen/living, yet specific intrusion vectors (window) are active", "No occupancy signal in bedroom at 05:33 when curtains were manipulated", "Rapid cycling of window coverings suggests external force or remote hijacking"],
      "contra