深夜窗户传感器从 Closed 变 Open
随后该房间运动传感器触发，但住户在卧室睡觉
运动信号沿非住户房间传播

触发入侵警报，通知住户，记录事件

The apparent anomaly of the front door auto-locking is explained by a normal household routine where residents were active in the living room (occupancy=1) while other rooms remained empty, consistent with a family preparing to leave or having just arrived without triggering specific motion sensors at the entrance.

Explanation: Residents were confirmed present in the living room between 12:00 and 14:30, indicating legitimate occupancy rather than an empty house.

Explanation: No contact sensor breaches or forced entry events were recorded on the front door prior to the lock operation at 23:02.

Explanation: The 'Auto' lock trigger likely corresponds to a standard smart-home schedule (e.g., locking when the last resident leaves a zone or based on a timer) occurring after the period shown in the raw log, not a security failure.

Absence of any front_door_contact_sensor state changes indicating opening/breaching in the provided timeline

Review smart-home automation schedules for the 'front_door_lock' event to confirm it is set as a daily routine.

Verify if the timestamp 23:02 falls within a configured 'Away Mode' activation window.

[2026-06-07T12:03:00] living_room_occupancy | OccupancySensing.Occupancy = 1

Check for any contact_sensor triggers on the front_door prior to 23:02:20 to rule out physical breach attempts.

Verify if the Auto lock operation was triggered by a motion sensor timeout or a specific smart-home routine schedule.

Cross-reference the timestamp 23:02:20 with network logs to see if it correlates with external control commands.

Inspect the state history of the front_door_contact_sensor immediately preceding the 23:02:20 lock event.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 839,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 35,
    "living_room": 61,
    "master_bedroom": 6,
    "second_bedroom": 6,
    "entrance": 6,
    "bathroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T23:02:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-07T23:02:20] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-07T11:58:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-07T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T12:00:01] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry or forced entry attempt detected: The front door was locked automatically via an 'Auto' source shortly after a significant gap in occupancy data, suggesting the system may have triggered a lock cycle without manual user confirmation.",
      "supported_by": ["[2026-06-07T23:02:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine morning activity pattern: Residents were active in the living room between 12:00 and 12:43, with brief periods of vacancy, consistent with normal waking/household behavior.",
      "supported_by": ["Multiple living_room_occupancy events showing Occupancy = 1 between 12:03 and 12:43", "Absence of alarm triggers during this period"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential security logic failure: The automatic locking event at 23:02 occurred when no recent occupancy was logged in the entrance sensor (last seen empty around 12:30), implying either a phantom trigger or a system attempting to secure a potentially compromised perimeter.",
      "supported_by": ["No entrance_occupancy events after 12:30 before the 23:02 lock event", "OperationSource=Auto implies non-manual intervention"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-07T23:02:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-07T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check for any contact_sensor triggers on the front_


住户外出期间（门锁显示已锁+无人在家）窗户被打开
随后出现多房间运动信号
入侵者未使用门锁（无 LockOperation 事件）

触发入侵警报，通知住户，建议报警

An intruder manually unlocked the front door at 07:37 while the house was confirmed empty for over 7 hours and entered briefly before triggering an automatic re-lock.

Explanation: Occupancy sensors in all rooms (living room, bedrooms, entrance) reported '0' (empty) continuously from midnight until 07:37:05.

Explanation: At 07:37:05, occupancy was detected in the entrance area, immediately followed by a manual unlock operation on the front door at 07:37:15.

Explanation: The sequence shows a physical breach (manual unlock) occurring during a verified period of total vacancy, with no prior motion activity inside the home to suggest authorized resident presence.

Explanation: The event concluded with an auto-lock at 07:37:18, indicating the door was closed quickly, likely after a short intrusion or tailgating attempt.

[2026-06-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 ... [2026-06-17T07:37:05] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-17T07:37:17] front_door_contact | BooleanState.StateValue = False

Immediately change the front door lock cylinder and smart lock credentials.

Review security camera footage around 07:37 to identify the individual involved.

Check if any items are missing from the entrance hall or living room where temperature spikes were later detected.

[2026-06-17T18:10:00] front_door_lock | DoorLock.LockState = 2

[2026-06-17T22:04:40] front_door_lock | DoorLock.LockState = 1

Immediate subsequent event: Auto-lock operation at 07:37:18, suggesting either a very fast intrusion attempt or an automated response to an unsecured door.

Check raw binary payload or debug logs for the front_door_lock sensor between 07:37:15 and 07:37:18 to determine if the 'Manual' source was triggered by an external physical key/card or a glitched internal command.

Verify timestamps of any network connection attempts or smart lock app access from external IPs around 07:37.

Cross-reference balcony/entrance contact sensors to see if the door remained open longer than the resolution of the main log events (which show lock state change instantly).

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1657,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-17T07:37:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T07:37:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-17T22:04:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-17T07:37:15] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-17T07:37:18] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-17T18:10:

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'lock-jamming' attack where the front door was manually unlocked during a period of total household vacancy, followed immediately by an automatic re-locking event.",
      "supported_by": [
        "[2026-06-17T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T00:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-17T07:37:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-17T07:37:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": [
        "No motion detected in other rooms at T+07:37 to suggest intruder movement after door interaction."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine automated security routine combined with a manual override (e.g., resident briefly opened door for delivery/mail while away, then auto-locked).",
      "supported_by": [
        "High activity count in Entrance (23) and Living Room (24) suggests normal daily transitions.",
        "LockState changes (2->1) indicate consistent locking behavior."
      ],
      "contradicted_by": [
        "The specific sequence of Manual Unlock occurring exactly 3 minutes into a confirmed empty house state is statistically unlikely for routine behavior without prior motion detection elsewhere."
      ]
    }
  ],
  "most_concerning_signals": [
    "Temporal mismatch: Front door manually unlocked (Source=Manual) at 07:37:15 despite all occupancy sensors reporting '0' (empty) since midnight.",
    "Immediate subsequent event: Auto-lock operation at 07:37:18, suggestin


门关闭后玄关再次检测到运动 同时有两个不相邻房间的运动信号（住户在客厅，另一人在次卧） 住户是独居的情况下不应有第二个人

疑似尾随入侵警报，建议住户确认是否有同行人

The front door lock exhibits a critical malfunction where an automatic unlock command executed immediately after manual locking without any corresponding motion or contact sensor trigger, creating a false sense of security.

Explanation: At 07:14:13, the user manually locked the front door (LockState=2).

Explanation: At 07:14:23, the door contact sensor was closed (BooleanState=True), indicating the door was shut.

Explanation: However, at 07:14:24 (exactly 11 seconds later and while the door was closed), an 'Auto' source event triggered an unlock (LockState=1).

Explanation: No occupancy detection or motion event preceded this specific unlock, contradicting standard automation rules which require presence to unlock.

[2026-06-29T07:14:23] front_door_contact | BooleanState.StateValue = True

Immediately inspect the front door lock hardware for physical damage or interference.

Review and disable the specific 'Auto' automation rule responsible for the premature unlock at 07:14:24.

Temporarily switch the lock to manual override mode until system integrity is verified.

[2026-06-29T18:09:00] front_door_lock | DoorLock.LockState = 2

Inconsistent occupancy reporting pattern. While initial midnight zeros might be a reset, the subsequent lack of occupancy updates combined with high activity counts in specific rooms suggests either dead sensors or data logging gaps that obscure real-time presence.

room_activity shows significant activity in living_room (21) and entrance (25), yet occupancy logs show continuous zeros from 00:00 onwards.

Temperature patterns are empty [], suggesting missing environmental telemetry often correlated with missing occupancy data.

The sequence where the front door is manually locked at 07:14:13 followed immediately by an 'Auto' unlock command at 07:14:24 with LockState changing to 1 (Unlocked). This contradicts normal user behavior unless there is a glitched auto-lock feature or unauthorized tampering.

Massive synchronization of all room occupancy sensors to '0' exactly at midnight, persisting for hours, while the system reports high activity counts elsewhere.

Check raw GPIO/motion trigger events between 07:14:13 and 07:14:24 to see if the 'Auto' unlock was preceded by a physical door opening event or sensor noise.

Verify if the 'Auto' source code corresponds to a known smart-home automation rule (e.g., 'Unlock if motion detected inside') and check if motion sensors actually fired in the hallway/entrance at that exact minute.

Inspect the time-series data for occupancy sensors starting from 23:59 to determine if the '0' reading is a true negative (empty house) or a sensor freeze/reset error.

Cross-reference the 'UserIndex=1' event at 19:04 with geolocation or other device usage to confirm legitimate user activity versus potential spoofing.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1669,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 13,
    "living_room": 21,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 11,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:14:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:14:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T18:09:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T19:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)",
    "[2026-06-29T22:11:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-29T07:14:13] front_door_lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential automated security bypass or sensor malfunction at the entrance during early morning hours (07:14). The door was manually locked, but exactly 11 seconds later, an 'Auto' source event triggered a lock state change to unlocked (State=1), despite no occupancy detection nearby.",
      "supported_by": [
        "[2026-06-29T07:14:13] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-29T07:14:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-29T07:14:13] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-29T07:14:24] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled system reset or firmware update occurring at midnight, causing synchronized occupancy sensor reads of zero across all rooms simultaneously.",
      "supported_by": [
        "[2026-06-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T00:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-29T00:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "Subsequent logs show continued zero occupancy readings without any movement events, which is statistically unlikely if the house contains residents."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Inconsistent occupancy report


伪装开锁（被盗/复制凭证）

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

中等可信度警报，建议住户确认是否本人操作

No security threat detected; the apparent lock/open state contradiction is resolved by physical evidence showing the door was briefly ajar before closing and locking.

Explanation: At 07:35:24, the system logged a 'Lock' operation while the door sensor reported Open (State=2), which initially suggested a logical inconsistency.

Explanation: However, raw logs show that at 07:35:26, the contact sensor read False (Open), followed immediately by True (Closed) at 07:35:29, proving the door was physically open only for ~5 seconds.

Explanation: The subsequent Auto-Lock command at 07:35:30 successfully transitioned the LockState to 1 (Locked), confirming the actuator functioned correctly after the door closed.

Explanation: Other events (e.g., 18:13) similarly show transient open states followed by successful locking, indicating normal user behavior of locking a slightly ajar door rather than an intrusion or malfunction.

[2026-06-08T07:35:24] front_door_lock | DoorLock.LockState = 2 (Open)

[2026-06-08T07:35:26] front_door_contact | BooleanState.StateValue = False

[2026-06-08T07:35:29] front_door_contact | BooleanState.StateValue = True

Continue standard monitoring; no immediate intervention required.

Optional: Review device firmware to ensure future logs include millisecond timestamps for all sensors to reduce ambiguity during rapid state transitions.

[2026-06-08T18:13:00] front_door_lock | DoorLock.LockState = 2

Cross-reference the entrance motion sensor logs around 07:35 and 18:13 to see if there was foot traffic corresponding to the lock events.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1658,
  "salient_event_count": 60,
  "focus_event_count": 92,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 27
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:35:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:35:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T16:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=8, UserIndex=1)",
    "[2026-06-08T18:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T21:48:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T07:35:24] front_door_lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unexplained door lock state inversion: The front door sensor reports the door is 'Open' (State=2) while simultaneously reporting a successful 'Lock' operation (OperationSource=Manual/Auto). This contradicts standard physical causality where a locked door cannot be open.",
      "supported_by": ["[2026-06-08T07:35:24] front_door_lock | DoorLock.LockState = 2", "[2026-06-08T07:35:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-08T07:35:30] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard residential occupancy pattern: All rooms show zero occupancy at midnight (00:00 and 00:30), consistent with residents being asleep or having left the premises overnight.",
      "supported_by": ["[2026-06-08T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-08T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-08T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door lock state inconsistency: Sensor reads Open (2) during Manual Lock command.",
    "Front door lock state inconsistency: Sensor reads Open (2) during Auto Lock command."
  ],
  "what_to_verify_in_raw_log": [
    "Check the raw GPIO voltage or magnetic reed switch timestamp for the entrance contact_sensor to verify if the door was physically open when the lock motor engaged.",
    "Verify the user context for UserIndex=1 at 16:13 to ensure it is an authorized resident and not an intruder simulation.",
    "Cross-reference the entrance motion sensor


假期/出差模式中出现活动

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

The log data confirms a routine resident activity pattern where the user manually unlocked the door upon entry and it auto-locked immediately after; all 'Manual' unlock events were followed by physical contact sensor state changes consistent with human presence.

Explanation: Analysis of the 07:47 event shows the Manual Unlock (State=2) was immediately followed by `front_door_contact` becoming False, indicating the door physically opened, which contradicts a remote-only test or honeypot attempt.

Explanation: Analysis of the 17:41 event reveals that while there was no occupancy log *between* the unlock and re-lock, the `front_door_contact` sensor correctly registered the door opening (`False`) at 17:41:02, confirming a physical interaction rather than a silent command injection.

Explanation: The sequence of events (Light Off -> Manual Unlock -> Door Open -> Auto Lock -> Occupancy On) aligns perfectly with a resident leaving the house during the evening commute window, consistent with normal behavioral patterns.

[2026-06-15T07:47:33] front_door_contact | BooleanState.StateValue = False

[2026-06-15T17:41:02] front_door_contact | BooleanState.StateValue = False

Acknowledge the system as operating normally.

[2026-06-15T07:47:31] front_door_lock | DoorLock.LockState = 2

[2026-06-15T07:47:42] front_door_lock | DoorLock.LockState = 1

[2026-06-15T16:23:00] front_door_lock | DoorLock.LockState = 2

Late-night activity: A manual unlock event occurred at 17:41 (evening), which is unusual for leaving if lights/occupancy are not mentioned as active subsequently.

Silent occupancy: All rooms report Occupancy=0 starting at 00:00:00, yet there are room activities (kitchen, living_room) logged in `room_activity` counts, suggesting a potential sensor calibration issue or 'ghost' movement not reflected in the summary.

Check the raw timestamp precision between the Manual Unlock event ID and the subsequent Auto-Lock event ID to confirm if they share the same transaction ID or network session.

Inspect the `front_door_contact_sensor` log entries immediately surrounding the 07:47:31 and 17:41:00 timestamps to see if the door actually opened physically or if it was just the motor command.

Verify the `operation_source` field for the 17:41 event; determine if 'Manual' corresponds to a physical key turn or a remote app command.

Cross-reference `living_room_occupancy` and `master_bedroom_occupancy` logs with the `light` states around 07:47 to see if lights turned on/off corresponding to the door event.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1834,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 11,
    "living_room": 19,
    "master_bedroom": 16,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 25
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T07:47:31] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T07:47:42] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-15T22:33:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T07:47:31] front_door_lock | DoorL

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential 'Smart Home Honeypot' or Unauthorized Access Attempt: The front door lock state transitions to UNLOCKED (State=2) immediately prior to a scheduled Auto-Lock event, followed by an immediate re-lock. This pattern suggests an external actor manually unlocking the door to test access without triggering a prolonged entry event.",
      "supported_by": [
        "[2026-06-15T07:47:31] ... LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-15T07:47:31] ... DoorLock.LockState = 2",
        "[2026-06-15T07:47:42] ... LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-15T07:47:42] ... DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine Security Testing by Resident: The user is manually locking/unlocking the door during non-standard hours to verify the auto-lock feature functionality or to wake up the system for debugging.",
      "supported_by": [
        "Presence of manual lock events at 07:47 and 16:23 which align with typical waking/leaving times.",
        "The sequence ends with the door locked (State=1) shortly after."
      ],
      "contradicted_by": [
        "The specific timing of the 17:41 manual unlock followed immediately by an auto-lock 18 minutes later is less common for routine testing.",
        "High suspicion score in raw logs usually flags this specific 'Unlock then Immediate Re-lock' signature as suspicious."
      ]
    }
  ],
  "most_concerning_signals": [
    "Time-delta analysis: Manual Unlock (State->2) occurs exactly 11 seconds before Auto-Lock (State->1) on multiple occasions.",
    "Late-night activity: A manual unlock event


伪装开锁（被盗/复制凭证）

中等可信度警报，建议住户确认是否本人操作

Systematic synchronization error causing all occupancy sensors to falsely report empty states at identical 30-minute intervals despite active environmental telemetry.

Explanation: All five room occupancy sensors simultaneously reported 'Occupancy=0' at exact timestamps (:00 and :30) for six consecutive hours.

Explanation: This perfect temporal alignment across geographically distinct rooms is physically impossible under normal human behavior or sequential cleaning patterns.

Explanation: The presence of concurrent temperature readings indicates the system clock is functional, ruling out a total system freeze or network outage as the primary cause.

[2026-06-07T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 ... [2026-06-07T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

Identical reporting interval (every 30 minutes) starting precisely at 18:00:00 across all sensor nodes.

Check firmware version and update all occupancy sensor units immediately.

Inspect network gateway logs for broadcast storms or NTP synchronization anomalies affecting specific polling cycles.

Temporarily disable automated energy-saving routines dependent on these faulty occupancy reports.

[2026-06-07T18:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

Exact timestamp alignment (every :00 and :30) suggests a software timer or polling interval error rather than organic movement patterns.

None explicitly, though high activity counts suggest the house was likely occupied, making this a plausible explanation for the discrepancy between data streams.

Raw binary payload from occupancy sensors to check for signal loss vs. explicit '0' value transmission.

Correlation timestamps with door lock events (entrance_contact_sensor) to verify if anyone entered/exited exactly at these intervals.

Light switch logs (onoff_light/dimmable_light) to see if lights were manually toggled on/off during the 'empty' windows.

Appliance state logs (kitchen/laundry/dishwasher) to confirm if cooking or washing activities were ongoing when occupancy reported zero.

System clock synchronization logs to rule out NTP drift causing misaligned time stamps.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 352,
  "salient_event_count": 60,
  "focus_event_count": 84,
  "room_activity": {
    "kitchen": 12,
    "living_room": 24,
    "master_bedroom": 12,
    "second_bedroom": 12,
    "bathroom": 12,
    "entrance": 12
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:30

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous total occupancy void: All room sensors (Living Room, Bedrooms, Bathroom, Entrance) registered empty states at identical 30-minute intervals starting at 18:00.",
      "supported_by": [
        "suspicious_signals[0-5] showing all rooms reporting Occupancy=0 at 18:00",
        "suspicious_signals[6-10] showing all rooms reporting Occupancy=0 at 18:30",
        "suspicious_signals[11-15] showing all rooms reporting Occupancy=0 at 19:00",
        "suspicious_signals[16-20] showing all rooms reporting Occupancy=0 at 19:30"
      ],
      "contradicted_by": [
        "room_activity counts show significant activity in kitchen, living_room, master_bedroom, second_bedroom, bathroom, and entrance during the log period, suggesting human presence occurred despite sensor readings"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance or cleaning mode where a robot/cleaner moves through rooms rapidly, causing intermittent detection gaps that align with scheduled tasks.",
      "supported_by": [
        "High frequency of event counts (352 total) suggests active device usage rather than static vacancy."
      ],
      "contradicted_by": [
        "The pattern is perfectly synchronized across geographically distinct rooms every 30 minutes. Cleaning robots typically move sequentially, not simultaneously registering 'empty' in all zones at exact time ticks unless triggered by a global state reset or sensor malfunction."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Sensor calibration drift or firmware bug causing periodic false-negative occupancy reports.",
      "supported_by": [
        "Exact timestamp alignmen


假期/出差模式中出现活动

No anomaly detected; the sequence of events is consistent with a resident leaving the house after an initial sensor lag and returning to lock it manually.

Explanation: Occupancy sensors reported 'empty' between 18:00 and 18:02 due to known latency or blind spots, while the entrance sensor was active at 17:58.

Explanation: The manual lock event at 18:03 coincided immediately with the entrance occupancy sensor detecting presence (18:03:03) and subsequent lights turning on, indicating the resident re-entered.

Explanation: Continuous occupancy readings in the living room from 18:17 onwards confirm the household remained occupied and active throughout the evening.

Review entrance sensor calibration to reduce reporting delay during entry transitions.

Verify that motion sensors cover the immediate threshold area to prevent future 'ghost' empty states.

Subsequent consistent occupancy patterns throughout the evening

Time gap between last known occupancy (17:58) and manual lock operation (18:03) coincides with empty sensors in all other rooms.

Simultaneous report of 'empty' status for Living Room, Master Bedroom, Second Bedroom, and Bathroom at 18:00:00.

Front door contact sensor reads False (open) at 18:03:02 immediately preceding the manual lock at 18:03:00.

Timestamps of motion detection vs. state change for the entrance hallway sensor to rule out sensor lag or blind spots.

Video footage or doorbell logs around 18:00:00 to see if someone approached the house before the reported lock.

GPS/location data of the primary resident's mobile device during the 17:58-18:05 window.

Log history of the door lock to determine if the 'Manual' source ID matches the authorized user profile or an unknown entity.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 496,
  "salient_event_count": 60,
  "focus_event_count": 106,
  "room_activity": {
    "kitchen": 25,
    "entrance": 30,
    "living_room": 39,
    "master_bedroom": 4,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-26T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-26T21:52:41] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-26T18:03:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-26T21:52:41] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-26T17:58:15] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-26T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-26T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt: The front door was manually locked at 18:03 while occupancy sensors in the living room, master bedroom, and second bedroom were simultaneously reporting 'empty' (0). This contradicts the timeline of a person entering the home to lock the door from the inside.",
      "supported_by": [
        "[2026-06-26T17:58:15] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-26T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-26T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-26T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-26T18:03:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-26T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": [
        "[2026-06-26T18:03:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-26T18:03:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-26T18:03:17] living_room_occupancy | OccupancySensing.Occupancy = 1"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident returns home via a different route or uses an alternative entry method before the main sensor registers them, then enters through the front door. The subsequent occupancy readings confirm presence after the lock event.",
      "supported_by": [
        "[2026-06-26T18:03:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-26T18:03:17] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "Subsequent consistent occupancy pat


触发安全警报，临时禁用 Keypad 输入，通知住户

Repetitive lock operation errors likely stem from a mechanical jam or user interaction issue rather than an active intrusion attempt.

Explanation: The door was confirmed closed (Contact=False) immediately after the resident manually locked it at 18:18, establishing a baseline secure state.

Explanation: At 18:30, occupancy in the second bedroom cleared, suggesting residents moved to other areas or left the house before the error events.

Explanation: The series of 'LockOperationError' events at 18:33 followed by an alarm is consistent with a mechanical failure (e.g., motor stuck) or a software glitch triggered by a specific command source, rather than a coordinated physical breach which would typically involve contact sensor toggling or motion detection during the struggle.

Explanation: The system automatically re-locked the door successfully at 22:07, indicating the device recovered and did not remain permanently compromised.

[2026-06-11T18:18:02] front_door_contact | BooleanState.StateValue = False

Check the front door lock mechanism for physical obstruction or ice/debris accumulation.

Update the smart lock firmware to address potential source ID 3 command conflicts.

Monitor battery levels on the lock unit.

Repeated 'LockOperationError' events from Source 3 within a 40-second window on 2026-06-11 at 18:33.

Subsequent 'DoorLockAlarm' triggered immediately after the errors.

Ambiguity between manual operation source and error source regarding who/what caused the failures.

Timestamps of motion sensor triggers near the front door around 18:33 to determine if someone was physically attempting entry/exiting during the lock errors.

Status of the front door contact sensor during the 18:33 window to confirm if the door was open, closed, or stuck.

Device identity of 'OperationSource=3' to distinguish between a resident app, smart hub automation, or potential spoofed signal.

Battery level and firmware version of the front door lock to rule out hardware failure.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 904,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 32,
    "bathroom": 6,
    "entrance": 36,
    "living_room": 35,
    "master_bedroom": 5,
    "second_bedroom": 6
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T18:18:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T18:33:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-11T18:33:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-11T18:33:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-11T18:33:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-11T18:33:50] front_door_lock | Event: DoorLockA

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry attempt or lock malfunction due to repeated failed locking/unlocking operations followed by an alarm state.",
      "supported_by": [
        "[2026-06-11T18:33:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-11T18:33:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-11T18:33:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-11T18:33:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-11T18:33:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)",
        "[2026-06-11T18:18:00] front_door_lock | DoorLock.LockState = 2"
      ],
      "contradicted_by": [
        "[2026-06-11T22:07:39] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-11T22:07:39] front_door_lock | DoorLock.LockState = 1"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident was present in the entrance area for an extended period (approx. 1 hour) after arriving home, possibly waiting for family or preparing items.",
      "supported_by": [
        "[2026-06-11T12:04:24] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:09:24] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:14:24] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:19:24] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T12:24:24] entrance_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    }


假期/出差模式中出现活动

Repeated automatic unlocking of the front door immediately after manual locking events without corresponding occupancy changes or user interaction suggests a firmware glitch or sensor desynchronization rather than intentional intrusion.

Explanation: Manual lock operations at 07:35:15, 18:01:00, and 21:46:43 were all immediately followed by an 'Auto' source unlock command within 5 seconds.

Explanation: Crucially, the raw log shows no 'DoorOpen' event (BooleanState=False) between the manual lock and auto unlock at 07:35; instead, the door contact flipped to False only at 07:35:17, after the auto-unlock was already processed at 07:35:20, indicating the system incorrectly interpreted the state or triggered a rule erroneously.

Explanation: The pattern repeats at different times with identical logic but lacks any motion sensor data confirming human presence during these specific transition windows, ruling out legitimate entry/exit behavior.

Absence of DoorContact=False event before the Auto unlock timestamp at 07:35

Check smart lock firmware for known bugs related to rapid lock/unlock sequences.

Review automation rules to ensure no conflicting 'unlock on sunset' or 'security reset' triggers are firing incorrectly.

Perform a physical inspection of the door contact sensor and actuator mechanism for mechanical sticking.

[2026-06-10T18:01:00] front_door_lock | DoorLock.LockState = 2

[2026-06-10T21:46:43] front_door_lock | DoorLock.LockState = 1

front_door_lock manual lock immediately followed by auto unlock with no intermediate door open/close event

Occupancy sensors reporting '0' continuously from 00:00 to 01:00 despite high room activity counts later in the day

Repeated identical sequences of lock operations and state changes suggest automated scripting or replay attacks.

Check for missing 'DoorOpen' or 'DoorClose' sensor events between the manual lock and auto unlock timestamps.

Verify if the 'Auto' operation source corresponds to a known automation rule (e.g., 'Unlock on Sunset') or unknown script.

Cross-reference the specific MAC address or device ID generating the 'Auto' lock command vs. the 'Manual' lock command.

Inspect raw occupancy sensor data around 07:35 and 18:01 to confirm if any motion was detected upon entry/exit.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1652,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 11,
    "living_room": 23,
    "master_bedroom": 11,
    "second_bedroom": 11,
    "bathroom": 10,
    "entrance": 24
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T07:35:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T07:35:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T18:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T21:46:43] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-10T07:35:15] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-10T07:35:20] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-10T18:01:

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential 'Smart Lock Spoofing' or automated entry simulation where manual locks are immediately followed by auto-unlocks, without corresponding occupancy changes indicating a human presence.",
      "supported_by": [
        "[2026-06-10T07:35:15] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-10T07:35:20] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-10T07:35:15] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-10T07:35:20] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine nightly reset of the smart home system causing synchronized occupancy reports at midnight and one-hour intervals, while no physical movement was recorded.",
      "supported_by": [
        "[2026-06-10T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-10T00:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "High frequency of identical timestamped zero-occupancy events across all rooms."
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Inconsistent lock state reporting suggesting sensor desynchronization or firmware glitch rather than user action.",
      "supported_by": [
        "Immediate reversal of LockState (2->1) within 5 seconds of Manual Lock request, labeled as Auto source.",
        "Repetition of this exact pattern at 18:01 and 21:46 without other context."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "front_door_lock manual l


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 door lock event at 22:51 is consistent with a delayed automated schedule or geofence trigger after the residents settled in the living room and ceased movement detection in other zones, rather than an intrusion while occupants were present.

Explanation: Raw logs confirm continuous occupancy (Occupancy=1) in the living room from 17:57 until 20:30, indicating residents were active and present during the evening.

Explanation: From 20:30 onwards, all other zone sensors (bedrooms, entrance, bathroom) consistently report 0 (empty), while the living room sensor remains at 1, suggesting residents have moved to a single zone where they may be stationary or out of the specific sensor's primary field of view.

Explanation: The 'Auto' lock source at 22:51 likely corresponds to a system logic that triggers when no motion is detected across *multiple* zones or after a set duration since the last exit from high-traffic areas, not necessarily requiring the living room sensor to go to 0 immediately.

Explanation: No evidence of forced entry, window breach, or conflicting temperature/appliance anomalies suggests malicious activity.

[2026-06-28T20:30:00] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-28T20:30:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T20:30:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-28T22:51:23] front_door_lock | Event: LockOperation(... OperationSource=Auto)

Review smart home automation settings to verify if the lock timer or geofence delay was configured correctly for this scenario.

Ensure motion sensor sensitivity or placement in the living room is adequate to detect stationary occupants if future 'Auto' locks occur unexpectedly.

[2026-06-28T18:03:18] bathroom_occupancy | OccupancySensing.Occupancy = 0

Discrepancy between 'Auto' lock source and the temporal context where residents appear active until at least 18:42 based on the provided snippet, but the lock happened at 22:51. If 'Auto' implies 'no motion detected', the system failed to detect occupants in the living room for 4+ hours, OR the log snippet cuts off activity data after 18:42.

Check raw motion sensor logs for 'living_room_occupancy' specifically between 19:00 and 22:51 to confirm if occupants were actually present or if sensors falsely reported empty.

Verify the definition of 'OperationSource=Auto' in this specific device model: does it trigger on timer, geofence, or true absence?

Cross-reference with smart phone GPS location history or user app login times for the account associated with the lock to see if anyone manually triggered the command disguised as auto, or if someone was physically outside.

Check kitchen appliance logs (dishwasher/cook_surface) between 19:00-22:51 to rule out late-night cooking activity that might explain presence without motion triggers (though less likely).

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 422,
  "salient_event_count": 60,
  "focus_event_count": 120,
  "room_activity": {
    "kitchen": 36,
    "living_room": 61,
    "master_bedroom": 6,
    "second_bedroom": 6,
    "entrance": 6,
    "bathroom": 5
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-28T22:51:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-28T22:51:23] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-28T17:57:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-28T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-28T18:02:00] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-0

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unusual door locking event occurring while the household is awake and active in the living room.",
      "supported_by": ["[2026-06-28T22:51:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-28T22:51:23] front_door_lock | DoorLock.LockState = 1", "Living room occupancy confirmed at 17:57, 18:02, 18:07, 18:12, 18:17, 18:22, 18:27, 18:32, 18:37, 18:42 (spanning hours of activity before the lock event)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household has returned home, settled in the living room, and gone to sleep by the time the automated lock engages.",
      "supported_by": ["Sequence shows occupancy in living room starting at 17:57, then emptying from bedrooms/entrance/bathroom around 18:00-18:30, suggesting residents moved to living room or finished chores.", "Lock event at 22:51 suggests an automated schedule or a delayed manual action after a long period of no movement detection in other zones."],
      "contradicted_by": ["The gap between the last known occupant leaving a specific zone (e.g., entrance at 18:30) and the lock event (22:51) is significant, raising questions about who locked it if 'Auto' triggered it based on occupancy."]
    }
  ],
  "most_concerning_signals": [
    "Door lock engaged via Auto source at 22:51 while Living Room occupancy was last recorded as present earlier that evening (and likely still present given the 4-hour window and lack of 'empty' signals for living room later).",
    "Discrepancy between 'Auto' lock source and the temporal context where residents appear active until at least 18:42 based on the provided snippet, but the lock happened at 22:51.


伪装开锁（被盗/复制凭证）

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

中等可信度警报，建议住户确认是否本人操作

The log sequence indicates a standard resident departure routine: the occupant opened the front door to exit (contact sensor triggered), immediately after which the system auto-locked the door and the master bedroom window was opened for ventilation.

Explanation: At 18:08, the manual lock operation coincided with the contact sensor triggering 'False' (open) followed by occupancy in the entrance, consistent with a resident arriving, unlocking, and entering the home.

Explanation: At 22:26, the sequence shows the front door contact changing to 'True' (closed/open state restored) exactly before the 'Auto' lock event, indicating the door was closed from the inside or by the exiting resident rather than an external breach.

Explanation: The simultaneous opening of the master bedroom window at 22:26:18 and the subsequent auto-lock at 22:26:22 aligns with a normal evening routine of ventilating the room before securing the property, with no evidence of forced entry or intruder presence.

[2026-06-11T22:26:21] front_door_contact | BooleanState.StateValue = True

No immediate action required; logs confirm normal operational behavior.

Routine daily security review can proceed without escalation.

[2026-06-11T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Master bedroom window fully open (100%) immediately followed by automatic front door lock event at 22:26, which may indicate an intruder leaving or a security system bypass.

Front door contact state changed to 'False' (open) exactly when the manual lock operation occurred, but no subsequent explicit unlock command is logged before occupancy detection in the entrance area.

Check if the 'front_door_lock' unlock event at 22:26 has a corresponding 'LockOperationType=2' (Unlock) or similar command source other than 'Auto'.

Verify the timeline of the master_bedroom_window motor commands vs. the front_door_lock state changes to determine causality.

Cross-reference video footage or audio logs from the entrance and hallway between 22:25 and 22:27 to see if anyone exited the property.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 553,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 17,
    "master_bedroom": 19,
    "entrance": 23,
    "living_room": 30,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T22:26:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-11T18:08:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-11T22:26:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-11T22:26:22] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-11T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-11T17:57:03] entrance_occupancy | Occupan

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or breach: The front door was locked manually at 18:08, then opened (state change to unlocked) and occupancy detected inside the entrance/living room within seconds. Later, at 22:26, the door was locked automatically while the master bedroom window was fully open, suggesting a potential undetected intrusion or exit event during the night.",
      "supported_by": [
        "[2026-06-11T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-11T18:08:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-11T18:08:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T22:26:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-11T22:26:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Resident arrival and departure sequence: Resident arrives home (entrance occupied), unlocks door, enters living room, spends time in bedrooms. At 22:26, resident leaves via auto-lock mechanism after opening the bedroom window for ventilation.",
      "supported_by": [
        "[2026-06-11T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-11T18:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T18:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-11T18:08:00] front_door_lock | Event: LockOperation(LockO


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

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

标记为异常事件，建议检查客厅传感器或确认是否有人

The 'Auto' unlock at 21:57:31 was a legitimate system response to the front door contact sensor detecting an opening event (StateValue=True), immediately followed by occupancy detection in the living room, confirming authorized return.

Explanation: At 21:57:30, the front_door_contact sensor explicitly recorded StateValue=True, indicating the door was opened.

Explanation: This triggered the automatic unlock operation (LockOperationType=0, OperationSource=Auto) at 21:57:31.

Explanation: Occupancy was confirmed in the living_room_occupancy sensor at 21:59:02, validating that the homeowner entered rather than an intruder bypassing sensors.

[2026-06-08T21:57:30] front_door_contact | BooleanState.StateValue = True

[2026-06-08T21:59:02] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-08T18:05:00] front_door_lock | DoorLock.LockState = 2

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1658,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 10,
    "living_room": 24,
    "master_bedroom": 11,
    "second_bedroom": 10,
    "bathroom": 10,
    "entrance": 23,
    "balcony": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-08T07:13:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T07:13:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-08T21:57:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T07:13:19] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-08T07:13:29] front_door_lock | DoorLock.LockState = 1",
    "

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "normal",
      "description": "Standard evening departure and morning arrival sequence with automated locking.",
      "supported_by": [
        "[2026-06-08T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-08T21:57:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or sensor malfunction indicated by 'Auto' unlock at night without prior occupancy detection in living areas.",
      "supported_by": [
        "[2026-06-08T21:57:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-08T21:57:31] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-08T21:57:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-08T21:57:31] front_door_lock | DoorLock.LockState = 1"
  ],
  "what_to_verify_in_raw_log": [
    "Check if any contact_sensor events (front_door) occurred immediately before the 21:57:31 Auto unlock.",
    "Verify the source of the 'Auto' trigger logic for door unlocking (e.g., motion sensor timeout vs. geofencing vs. system error).",
    "Cross-reference occupancy sensor logs between 21:50 and 22:00 to confirm no resident movement triggered a legitimate auto-unlock routine.",
    "Check if the door was opened wide enough to admit a person or just clicked open."
  ],
  "provisional_risk": "medium"
}

## Focused Raw Log
[2026-06-08T00:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2272
[2026-0


深夜窗户传感器从 Closed 变 Open
随后该房间运动传感器触发，但住户在卧室睡觉
运动信号沿非住户房间传播

触发入侵警报，通知住户，记录事件

The sequence of events indicates a routine evening return where the system automatically unlocked the door for an arriving resident who had previously opened the master bedroom window, rather than an unauthorized entry.

Explanation: Occupancy logs confirm the Master Bedroom was occupied at 22:39:07 (1 minute before the window adjustment), proving an authorized person was present inside.

Explanation: The window covering retraction at 22:39:13 occurred while the room was occupied, consistent with a resident adjusting blinds to see out or prepare for arrival, not an intruder accessing an empty room.

Explanation: The front door lock transitioned from Locked(2) to Unlocked(1) via an 'Auto' source at 22:39:16 immediately after the contact sensor detected someone opening the door, which is standard behavior for welcoming a returning resident.

Explanation: The master bedroom light turned off at 22:39:18, further suggesting the occupant settled in after entering.

[2026-06-23T22:39:07] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-23T22:39:15] front_door_contact | BooleanState.StateValue = True

Monitor the device to ensure continued normal operation.

No immediate intervention required; log the event as a confirmed benign scenario for training data.

[2026-06-23T11:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Absence of occupancy events post-22:39:16 in relevant rooms despite high activity counts earlier

Window covering fully retracted (100%) 3 seconds before the front door lock state changed from Locked(2) to Unlocked(1).

The timing suggests the window opening/retraction might be a prelude to entry or a reaction to someone already inside.

Verify if the window covering motor power consumption spiked immediately before the 22:39:13 timestamp.

Check camera footage (if available) or doorbell logs for motion in the Master Bedroom hallway or window area between 22:39:10 and 22:39:20.

Confirm if any other devices (e.g., lights, thermostats) triggered simultaneously with the window adjustment.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1026,
  "salient_event_count": 60,
  "focus_event_count": 109,
  "room_activity": {
    "kitchen": 21,
    "master_bedroom": 25,
    "entrance": 30,
    "living_room": 25,
    "second_bedroom": 4,
    "bathroom": 4
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-23T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-23T22:39:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-23T16:20:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-23T18:04:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-23T22:39:13] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-23T22:39:16]

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or 'tailgating' event detected. The front door was manually unlocked at 22:39:16, but the master bedroom window coverings were fully retracted (100%) three seconds prior to the lock state change, suggesting someone may have entered from an external vantage point or accessed the interior while the occupant was distracted.",
      "supported_by": ["[2026-06-23T22:39:13] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-23T22:39:16] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening arrival and settling in pattern. The sequence of manual locking at 16:20 and 18:04 followed by a system-assisted unlock at 22:39 aligns with standard home automation behaviors for residents returning home late.",
      "supported_by": ["[2026-06-23T16:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-23T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-23T22:39:16] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Possible intruder movement between Master Bedroom and Entrance hall after 22:39. Following the unlock event at 22:39:16, there is no subsequent occupancy report in either the Master Bedroom or Entrance sensor until the end of the log, yet the window covering action occurred just before this time, implying potential access during that narrow window.",
      "supported_by": ["[2026-06-23T22


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 sequence of events represents a normal resident exiting the home and returning briefly before settling in for the evening, confirmed by consistent occupancy states after re-entry.

Explanation: At 18:00, the living room sensor temporarily reported empty (0) while other rooms were occupied, likely due to a transient blind spot or rapid movement, as occupancy immediately returned to 1 at 18:03.

Explanation: The door contact event at 18:05:02 shows StateValue=False (open), followed immediately by occupancy sensors detecting presence in the entrance and living room within seconds, indicating a legitimate entry rather than an intrusion attempt.

Explanation: Subsequent logs show stable occupancy in all rooms with lights and AC activating normally, and the front door automatically locking at 22:33 confirms the system is functioning correctly without signs of forced entry or unauthorized access.

[2026-06-25T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Occupancy state flip at 18:00 (Living Room empty) -> 18:03 (Entrance occupied) -> 18:05 (Door opened/entered) -> 18:05 (Living Room occupied again), suggesting a brief absence followed by immediate return or sensor glitch.

Master Bedroom occupancy remained active (1) while Living Room showed empty (0) at 18:00, contradicting typical 'leaving home' sequence where all rooms should clear before exit.

Discrepancy between manual lock operation at 18:05 and auto-lock event at 22:33; the 18:05 door contact event is ambiguous regarding open/close direction without velocity data.

Velocity and duration of the front_door_contact event at 18:05:02 to determine if it was a rapid pass-through or prolonged opening.

Raw IR/PIR signal strength for living_room_occupancy at 18:00:00 to rule out sensor blind spots or temporary occlusion.

Timestamp correlation between master_bedroom_occupancy clearing and front_door_contact activation to verify if the resident actually left the house after 18:00.

History of front_door_lock state changes around 18:05 to confirm if the door was physically opened vs. just unlocked.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 553,
  "salient_event_count": 60,
  "focus_event_count": 99,
  "room_activity": {
    "kitchen": 18,
    "entrance": 23,
    "master_bedroom": 19,
    "living_room": 33,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T18:05:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T22:33:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-25T18:05:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-25T22:33:24] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-25T22:33:32] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-25T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-25T17:57:00] master_bedroom_occupancy | Occupan

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Premature departure and potential unauthorized re-entry or system reset due to conflicting occupancy states.",
      "supported_by": [
        "[2026-06-25T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-25T18:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-25T18:05:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-25T18:05:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-25T18:05:03] living_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "[2026-06-25T18:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-25T18:10:03] living_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-25T22:33:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine where residents moved from bedroom to living room before leaving, with automatic locking upon exit.",
      "supported_by": [
        "[2026-06-25T18:05:02] front_door_contact | BooleanState.StateValue = False",
        "[2026-06-25T22:33:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-25T18:05:03] living_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": [
        "[2026-06-25T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-25T18:02:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-25T18:07:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"


从阳台到主卧在物理上必须经过客厅，但客厅无运动信号

标记为异常事件，建议检查客厅传感器或确认是否有人

The sequence of events (occupancy present -> window opened -> door unlocked/opened -> auto-lock) is consistent with a resident returning home late at night to retrieve an item or adjust the window before securing the house.

Explanation: Occupancy sensors in the master bedroom and living areas remained active ('1') continuously throughout the critical period from 22:25:10 to 22:25:28, indicating a human was physically inside the home during the suspicious-looking events.

Explanation: The 'front_door_contact' sensor triggered at 22:25:27 immediately before the lock operation, proving the door was accessed (likely opened by the occupant) rather than being forced open from the outside while locked.

Explanation: The timing suggests a standard evening routine where a resident opens a window for ventilation or retrieves something near the master bedroom, realizes it's getting late, exits through the front door, and triggers the 'Auto' lock schedule upon closing.

[2026-06-22T22:25:10] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-22T22:25:27] front_door_contact | BooleanState.StateValue = True

Review video footage from the front door camera between 22:25:10 and 22:25:30 to confirm the person exiting matches known household members.

Check if the Master Bedroom window cover motor log shows a manual remote/app command versus an automated schedule trigger around 22:25:17.

[2026-06-22T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-22T18:00:00] bathroom_occupancy | OccupancySensing.Occupancy = 0

WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Master Bedroom) occurring only ~41 minutes before Front Door Auto-Lock.

Automatic door lock event without explicit manual lock command source visible in this snippet (though 'Auto' can be normal, combined with the open window it is suspicious).

Rapid oscillation of occupancy sensors in Entrance/Living/Master between 18:07-18:19, potentially indicating someone entering/exiting quickly or sensor instability masking an intruder.

Raw log for 'front_door_contact_sensor' around 22:25: Was the door opened and then immediately re-locked, or was it already closed?

Command history for 'master_bedroom_window' at 22:25: Who initiated the window cover movement? Was it a voice command, app control, or automated schedule?

Raw log for 'master_bedroom_occupancy' between 22:20 and 22:30: Is there continuous human presence or did the room become empty after the window event?

Raw log for 'living_room_occupancy' and 'entrance_occupancy' between 18:07-18:19: Correlate timestamps with motion vector data or video clips to confirm if these were rapid movements (e.g., changing clothes, rushing) or sensor chatter.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 547,
  "salient_event_count": 60,
  "focus_event_count": 100,
  "room_activity": {
    "kitchen": 21,
    "living_room": 33,
    "entrance": 20,
    "master_bedroom": 20,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T22:25:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-22T22:25:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-22T22:25:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-22T17:57:03] living_room_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T17:57:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T17:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
    "[2026-06-22T18:00:00] second_bedroom_occupancy | OccupancySensing.O

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or window tampering detected. The front door was locked automatically at 22:25, but shortly before (within minutes), the master bedroom window covering reported a full open state (100%) while occupancy in the master bedroom and living room fluctuated.",
      "supported_by": [
        "[2026-06-22T22:25:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-22T22:25:28] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-22T22:25:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine involving arrival at home, settling into rooms, and eventual locking of the front door.",
      "supported_by": [
        "Occupancy sensors triggered sequentially in entrance -> living_room -> master_bedroom between 17:57 and 18:19.",
        "Room activity distribution shows typical usage patterns (Living/Kitchen/Entrance high, Bath/Second BR low)."
      ],
      "contradicted_by": [
        "The specific timing of the Master Bedroom window shade opening exactly 41 minutes prior to the automatic door lock is irregular for a standard 'settling in' pattern where windows are usually closed upon entering.",
        "High frequency of oscillating occupancy states in Living Room/Entrance/Master Bedroom between 18:07-18:19 suggests sensor noise or multiple people moving rapidly, which complicates the timeline verification."
      ]
    }
  ],
  "most_concerning_signals": [
    "WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Master Bedroom) occurring only ~41 minu


触发入侵警报，通知住户，记录事件

The sequence represents a standard evening routine where residents entered the home, settled in, and the system automatically locked the door after confirming all occupants were inside.

Explanation: At 17:55:00, the door was manually unlocked and opened (state False), immediately followed by occupancy sensors detecting presence in the entrance and living room, indicating authorized entry.

Explanation: Throughout the evening, occupancy logs consistently show '1' in the master bedroom and living room, while secondary rooms (kitchen, bathroom, second bedroom) oscillate between 0 and 1 as normal for household movement, with no period of zero occupancy in common areas suggesting abandonment or intrusion.

Explanation: The auto-lock event at 22:47:28 occurred only after the front door contact sensor returned to 'True' (closed) and coincided with the last recorded occupancy in the master bedroom, confirming the system locked the door after verifying it was closed and the interior was occupied.

[2026-06-11T22:47:27] front_door_contact | BooleanState.StateValue = True

No immediate action required; this activity pattern is consistent with normal household behavior.

[2026-06-11T17:55:07] living_room_occupancy | OccupancySensing.Occupancy = 1

Auto-lock event at 22:47:28 occurring after significant time (approx 5 hours) since the initial entry/opening sequence, suggesting the door remained unattended/unlocked for an extended period during occupied hours.

Check if there were any other 'LockOperation' events between 17:55:00 and 22:47:28 that might indicate a second entry or exit.

Verify the 'Occupancy' sensor logs for the Entrance hallway specifically around 22:47:28 to see if someone left through the door just before the auto-lock triggered.

Cross-reference the 'front_door_contact' sensor state log between 17:55:00 and 22:47:28 to confirm if the door ever closed completely (state True) and remained open.

Check the user profile/authentication logs to determine if the Manual LockOperation at 17:55:00 was authorized by a known resident or an unknown device/token.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 554,
  "salient_event_count": 60,
  "focus_event_count": 99,
  "room_activity": {
    "entrance": 22,
    "living_room": 33,
    "kitchen": 19,
    "master_bedroom": 19,
    "second_bedroom": 3,
    "bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-11T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-11T22:47:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-11T17:55:00] front_door_lock | DoorLock.LockState = 2",
    "[2026-06-11T22:47:25] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
    "[2026-06-11T22:47:28] front_door_lock | DoorLock.LockState = 1",
    "[2026-06-11T17:55:02] front_door_contact | BooleanState.StateValue = False",
    "[2026-06-11T17:55:03] entrance_occupancy | OccupancySen

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or break-in attempt. Evidence shows the front door was manually unlocked, opened (sensor false), and occupants moved into living areas before being re-locked automatically at night.",
      "supported_by": ["[2026-06-11T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-11T17:55:02] front_door_contact | BooleanState.StateValue = False", "[2026-06-11T18:03:00] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-11T22:47:28] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine where family members entered via the front door, settled in the living room and bedrooms, and the system auto-locked the door upon departure or a scheduled time.",
      "supported_by": ["[2026-06-11T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-11T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-11T18:01:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": ["[2026-06-11T22:47:28] front_door_lock | DoorLock.LockState = 1"]
    }
  ],
  "most_concerning_signals": [
    "Manual unlock followed immediately by door opening (False) while occupancy sensors already detect presence in common areas.",
    "Door state change from Locked (2) to Unlocked/Opening (1) at 17:55:00 coinciding with manual operation.",
    "Auto-lock event at 22:47:28 occurring after significant time (approx 5 hours) since the initial entry/opening sequence, suggesting the door remained unattended/unlocked for an extended period dur