玄关运动 + 门锁解锁失败

密码错误（小孩可能记不准密码）

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

The pattern of simultaneous occupancy readings is consistent with a single user moving through multiple rooms or the system having a delayed state propagation mechanism rather than a security breach.

Explanation: Analysis of raw logs shows 'entrance_occupancy' activating frequently (every ~32s) alongside other room sensors, suggesting a person repeatedly entering/exiting the main hall or the sensor having high sensitivity to brief passes, which triggers downstream room detections.

Explanation: The Living Room and Second Bedroom show 'Occupancy = 0' while others are '1', but temperature sensors in these empty rooms continue to report valid values (~25°C), indicating the space is not physically sealed off or being heated/cooled differently, ruling out a hidden occupant scenario.

Explanation: The auto-lock event at 22:12:23 occurred immediately after the front door contact sensor reported closed (True) at 22:12:22, confirming the lock was triggered by a legitimate physical closure event, not a glitch or intrusion attempt.

[2026-06-18T11:58:32] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-18T12:00:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2524

[2026-06-18T22:12:22] front_door_contact | BooleanState.StateValue = True

Review motion sensor sensitivity settings for the Entrance area if frequent short-duration activations persist.

Verify that window coverings in the Master Bedroom do not interfere with the front door proximity sensors during closing operations.

[2026-06-18T18:14:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T22:12:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T16:16:00] front_door_lock | DoorLock.LockState = 2

[2026-06-18T18:14:00] front_door_lock | DoorLock.LockState = 2

[2026-06-18T21:18:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous occupancy detection in multiple private and semi-private rooms (Master Bedroom, Entrance, Kids Room, Dining Room) while the Living Room and Second Bedroom are simultaneously empty suggests either a data synchronization error or a coordinated movement pattern that does not align with standard single-user flow.",
      "supported_by": [
        "[2026-06-18T11:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T11:59:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T11:59:10] dining_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The sequence of events indicates a person entering the home at ~11:58 AM, moving through the entrance and kids' room, then dispersing to the master bedroom and dining room by noon, which is consistent with a resident returning home for lunch or starting work from home.",
      "supported_by": [
        "[2026-06-18T11:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T12:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T12:04:00] kids_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "A discrepancy exists between the timestamp of the front door being locked manually (16:16), the auto-lock event (22:12), and the window closure events occurring shortly before the auto-lock, suggesting a potential automated routine triggered incorrectly or a delayed response system.",
      "supported_by": [
        "[2026-06-18T22:12:15] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-18T22:12:23] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": [
        "[2026-06-18T16:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ]
    }
  ],
  "most_concerning_signals": [
    "Multiple distinct rooms showing 'Occupied' status within minutes of each other while adjacent main living areas show 'Unoccupied', creating a logical spatial inconsistency.",
    "Front door lock state changed to 'Locked' (State=1) at 22:12:23 exactly 8 seconds after a window covering fully closed event in the Master Bedroom, implying an unverified automation trigger."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamp precision and clock synchronization across all sensors (Master Bed, Entrance, Kids Room, Living Room) to rule out drift causing simultaneous false positives.",
    "Motion sensor sensitivity settings and threshold logs for the specific timeframe (11:58 - 12:04) to determine if the signals were brief passes or sustained presence.",
    "The logic rules defining the 'Auto' lock operation at 22:12 to confirm if it was triggered by a window closing event or a scheduled timer.",
    "Door contact sensor readings immediately preceding and following the manual lock events at 16:16 and 18:14 to verify actual physical door state vs. reported state."
  ],
  "provisional_risk": "medium"
}
```

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1316,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 13,
    "master_bedroom": 16,
    "entrance": 22,
    "kids_room": 13,
    "dining_room": 12,
    "living_room": 13,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T16:16:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T18:14:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
```json
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous occupancy detection in multiple private and semi-private rooms (Master Bedroom, Entrance, Kids Room, Dining Room) while the Living Room and Second Bedroom are simultaneously empty suggests either a data synchronization error or a coordinated movement pattern that does not align with standard single-user flow.",
      "supported_by": [
        "[2026-06-18T11:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T11:59:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T11:59:10] dining_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The sequence of events indicates a person entering the home at ~11:58 AM, moving through the entrance and kids' room, then dispersing to the master bedroom and dining room by noon, which is consistent with a resident returning home for lunch or starting work from home.",
      "supported_by": [
        "[2026-06-18T11:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T12:03:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-18T12:04:00] kids_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "A discrepancy exists between the timestamp of the front door being locked manually (16:16), the auto-lock event (22:12), and the window closure events occurring shortly before the auto-lock, suggesting a potential automated rou


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

The sequence of events represents a standard morning routine where the front door was manually unlocked to exit, remained open for approximately 5 seconds while occupants moved through the house (indicated by sensor activations), and then automatically re-locked upon closure; there is no evidence of forced entry or intrusion.

Explanation: At 07:16:24, the front door was manually unlocked (state 2) exactly when the kids' room light turned off and the window covering dropped to 0%, indicating the start of a departure routine rather than an intrusion attempt.

Explanation: The raw log shows the front door contact sensor went to False (open) at 07:16:26 and returned to True (closed) at 07:16:31, confirming the door was physically opened and closed by a person moving inside/outside, not triggered by a tamper event.

Explanation: The 'Auto' lock event at 07:16:32 occurred immediately after the door closed, which is consistent with a normal smart-lock auto-lock feature engaging after a short delay following manual unlocking and closure.

[2026-06-18T07:16:26] front_door_contact | BooleanState.StateValue = False

[2026-06-18T07:16:31] front_door_contact | BooleanState.StateValue = True

[2026-06-18T15:58:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T18:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T22:39:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T06:25:16] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

Room activity shows high usage in kitchen/living/entrance during day

Occupancy sensors show 0 at 00:00:00 for all bedrooms/bathrooms

The specific sequence of Manual Unlock -> Immediate Auto Lock is unusual timing for standard behavior

Simultaneous Manual Front Door Unlock and Kids Room Window Cover Drop (07:16:24)

Front Door Lock State transition to Unlocked (2) followed immediately by Auto-lock (1) within 8 seconds

Check if any motion sensor triggered in the hallway or kids' room between 07:16:20 and 07:16:35.

Verify the state of the kids_room_window_contact_sensor at 07:16:24 to see if the window was physically opened simultaneously with the curtain dropping.

Check the history of the front_door_contact_sensor to confirm if the door remained open for more than a few seconds before auto-locking.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2299,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 16,
    "dining_room": 8,
    "master_bedroom": 12,
    "second_bedroom": 6,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T07:16:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:16:32] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Unauthorized entry attempt or forced entry: The front door was unlocked manually at 07:16:24, then locked automatically via Auto source 8 seconds later without a corresponding manual lock event. This suggests either an automated system triggered erroneously immediately after entry, or the 'Auto' log masks a different mechanism (e.g., sensor-triggered lock) occurring while the door was open.",
      "supported_by": ["[2026-06-18T07:16:24] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-18T07:16:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-18T07:16:24] front_door_lock | DoorLock.LockState = 2", "[2026-06-18T07:16:32] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential window tampering or intrusion in children's room: The kids' room window covering dropped to 0% (fully closed) at 07:16:24, exactly matching the timestamp of the manual front door unlock. Later, it was fully opened (100%) at 21:08:02, while other rooms were closing curtains.",
      "supported_by": ["[2026-06-18T07:16:24] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-18T21:08:02] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard morning routine: Front door opened and closed shortly after (within 8s), followed by normal occupancy patterns during the day (living/dining active) and sleeping patterns at night (occupancy zero at 00:00).",
      "supported_by": ["R


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

通知家长（轻柔方式），建议查看孩子情况

The front door unlocked automatically at 22:12:34 via an 'Auto' source immediately after being manually locked earlier in the day, coinciding with window coverings being opened in private rooms, indicating a likely compromised smart-home automation or unauthorized remote access.

Explanation: The raw log confirms a manual lock event (State=2) at 17:55:00, establishing the house was secured.

Explanation: At 22:12:34, exactly 4 hours later, the log shows an 'Auto' source unlocking the door (State=1), which contradicts standard user behavior and suggests an automated attack or scene execution.

Explanation: This suspicious unlock is temporally linked to window coverings in the Kids and Master bedrooms opening fully, creating a pattern consistent with an intruder attempting to gain entry while maintaining plausible deniability via automation.

[2026-06-01T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

Immediately change all smart-lock credentials and PINs.

Review network logs for unusual outbound connections from the home hub or IoT devices between 17:55 and 22:12.

Temporarily disable all 'Auto' lock/unlock scenes until security is verified.

[2026-06-01T16:15:00] front_door_lock | DoorLock.LockState = 2

[2026-06-01T17:55:00] front_door_lock | DoorLock.LockState = 2

Check if the Auto-unlock command at 22:12:34 was triggered by an authorized smart-home scene (e.g., 'Goodnight') vs. a spoofed signal or hack.

Verify motion sensor logs for the hallway/entrance between 20:50 and 22:15 to confirm if anyone entered after the windows were opened but before the door unlocked.

Cross-reference the timestamp of the 'Auto' unlock with network logs to see if the command originated from an external IP or an unusual device ID within the LAN.

Check if the 'Occupancy' sensors in Master/Kids rooms are detecting human presence or if they might be triggered by pets/cleaning robots (though no pet data is present).

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1317,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 15,
    "kids_room": 14,
    "dining_room": 13,
    "entrance": 19,
    "living_room": 16,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T16:15:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T17:55:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspicious 'Auto' front door unlock event (22:12) preceded by a sequence of window coverings being fully opened in Kids and Master Bedrooms.",
      "supported_by": ["[2026-06-01T20:50:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-01T22:12:26] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-01T22:12:34] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-01T22:12:34] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Simultaneous occupancy detection in private rooms (Master Bedroom, Kids Room) while the Living Room and Second Bedroom are reported as empty, suggesting potential unauthorized entry or sensor malfunction during evening hours.",
      "supported_by": ["[2026-06-01T11:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-01T11:58:00] kids_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-01T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-01T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Front door lock state change to UNLOCKED (State=1) via AUTO source at 22:12:34, immediately following manual locking events earlier in the day.",
    "Window coverings in Kids Room (20:50) and Master Bedroom (22:12) moved to 100% open (fully open), coinciding with the suspicious auto-unlock time."
  ],
  "what_to_verify_in_raw_log": [
    "Check if the Auto-unlock command at 22:12:34 was triggered by an authorized smart-hom


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

No confirmed intrusion; observed events are consistent with authorized internal activities and system automation.

Explanation: The 'Auto' lock event at 22:31:32 occurred immediately after the door contact sensor registered as True (open), indicating a standard auto-lock cycle triggered by the occupant exiting or an automated routine, rather than forced entry.

Explanation: Occupancy logs show continuous human presence in multiple rooms throughout the evening (e.g., Master Bedroom active from 17:55 to 22:34), contradicting the hypothesis of an immediate unauthorized sweep starting at 22:31.

Explanation: Window coverings changing position (Kids Room at 21:08, Master Bedroom at 22:31) aligns with residents adjusting blinds for sleep or privacy before bed, which is normal behavior late at night.

[2026-06-10T22:31:31] front_door_contact | BooleanState.StateValue = True

Review home automation schedules to ensure 'Auto' lock events do not conflict with user expectations during late-night exits.

Verify window covering motor logs to confirm manual vs. remote operation if further clarification is needed.

[2026-06-10T17:59:00] front_door_lock | DoorLock.LockState = 2

[2026-06-10T17:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

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

Rapid propagation of occupancy from Entrance -> Living/Dining -> Kids/Master bedrooms immediately following the door unlock event.

Window coverings in both Kids Room and Master Bedroom set to 100% (open) during late evening hours (21:08 and 22:31).

FrontDoorContact sensor state prior to 22:31:32 (was it already open? Did the door actually open?).

MasterBedroomWindowSensor contact status at 22:31:22 (verify if physical window was opened vs just curtains moved).

Motion sensor confidence scores for the events at 22:32 to distinguish between human movement and pet/dust triggers.

Smartphone app logs or API calls around 22:31 to rule out manual remote control of locks/windows by authorized users.

Audio logs or vibration data from the front door lock mechanism to detect forced entry attempts before/unlocking.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 703,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 12,
    "master_bedroom": 13,
    "entrance": 18,
    "kids_room": 12,
    "dining_room": 10,
    "living_room": 20,
    "master_bathroom": 2,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T17:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:31:32] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Suspected unauthorized entry or forced access at the front door between 22:30 and 22:32, followed by a rapid house sweep (occupancy in multiple rooms).",
      "supported_by": [
        "[2026-06-10T22:31:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-10T22:31:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-10T22:31:32] front_door_lock | DoorLock.LockState = 1",
        "Occupancy sensors triggered in Entrance, Living Room, Dining Room, Kids Room within 2 minutes of the lock event."
      ],
      "contradicted_by": [
        "No alarm triggers (smoke, water) recorded in the suspicious signals list.",
        "The 'Auto' source on the lock operation could theoretically be an internal automation, though unlikely given the window state change."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Coordinated breach attempt involving window manipulation in sleeping areas while the main entrance was secured/locked out-of-hours.",
      "supported_by": [
        "[2026-06-10T21:08:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-10T22:31:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "Time gap between Kids Room window opening (21:08) and Master Bedroom window opening (22:31) suggests sequential access points being tested or utilized."
      ],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous change to 'Unlocked' (LockState=1) and Auto-LockEvent at 22:31:32 coinciding with Master Bedroom window fully open.",
    "Rapid propagati


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

Unauthorized physical entry detected at the front door with a confirmed lock bypass (UserIndex=3) while the contact sensor indicated the door was open.

Explanation: At 17:41:02, the front door contact sensor triggered FALSE (OPEN), indicating the door was physically breached or opened.

Explanation: Immediately following this breach at 17:42:00, a manual lock operation occurred with OperationSource=3 and UserIndex=1. Standard resident profiles typically map to different user indices, suggesting an unauthorized actor attempted to secure the door from the inside after entry.

Explanation: The sequence of 'Open' state followed by a specific 'User Index' lock command lacks the standard automatic re-locking seen in legitimate exit events, strongly implying forced entry or tailgating where the intruder manipulated the lock mechanism.

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

Dispatch security personnel to the property immediately for verification.

Check the exterior perimeter for signs of forced entry or tampering.

Review video footage from any external cameras between 17:40 and 17:45 to identify the individual associated with UserIndex=1.

[2026-06-02T16:30:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T22:34:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T07:29:23] front_door_lock | DoorLock.LockState = 2

Standard overnight departure sequence: Multiple bedrooms and living areas registered as empty at 00:00:00.

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

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

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

Check if Contact Sensor for Entrance Door triggered OPEN/CLOSED events between 17:41 and 17:42 to confirm physical presence or forced entry.

Verify the identity of UserIndex=1 against authorized resident profiles.

Check if there were any motion sensor triggers in the hallway or entrance area between 17:41 and 17:45.

Review the command history for the kids_room window actuator at 21:11 to see if it was triggered by an app, voice command, or automation rule.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2298,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 7,
    "living_room": 19,
    "dining_room": 8,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 23
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T07:29:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T07:29:28] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry event detected: Front door lock was manually locked (LockState=2) and immediately auto-unlocked, followed by multiple manual locking attempts within a short timeframe, culminating in an external user operation.",
      "supported_by": [
        "[2026-06-02T07:29:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-02T07:29:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-02T17:42:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)"
      ],
      "contradicted_by": [
        "No explicit sensor trigger indicating 'forced' entry (e.g., contact sensor breach while locked) in the provided snippet."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious window state transition in Kids Room: Window covering moved from fully closed (0%) to fully open (10000%) without a corresponding occupancy event in the room during that specific minute.",
      "supported_by": [
        "[2026-06-02T06:49:11] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0",
        "[2026-06-02T21:11:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "The subsequent opening of Master Bedroom window at 22:34 suggests normal evening routine might be influencing this, but the isolated nature of the 21:11 event without occupancy data is suspicious."
      ]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard overnight departure sequence: Multiple bedrooms and living areas r


触发安全警报，临时禁用 Keypad 输入，通知住户

The sequence of events represents a standard household routine: evening departure and locking up followed by nighttime security arming (windows closed, door auto-unlocked for entry/exit or alarm system logic), consistent with user behavior patterns.

Explanation: Occupancy logs from 18:00 to 18:44 show continuous presence in living/dining/kitchen areas, contradicting the hypothesis that people were trapped inside when the door was locked at 18:08; instead, activity resumes immediately after the lock event (lights on, cooking starts), indicating normal occupancy transition.

Explanation: The window closure events at 20:42 and 22:33 are temporally distinct and align with typical 'Away' mode activation times (closing windows before leaving/arming, then closing again upon return or as part of a specific night routine), rather than a simultaneous forced closure.

Explanation: The automatic front door unlock at 22:33:26 is an expected feature of modern smart locks (e.g., geofencing, panic button response, or automated 'Goodnight' routine that re-arms the system while allowing authorized access), especially given the prior manual lock confirmed secure status.

[2026-06-12T18:08:08] living_room_light_1 | OnOff.OnOff = True

[2026-06-12T18:36:30] kitchen_cook_surface | OnOff.OnOff = True

Review user authentication logs to confirm the source of the 22:33 auto-unlock command matches known family member devices.

Verify geofence settings to ensure the 'Auto Unlock' rule is functioning as intended for the homeowner's schedule.

[2026-06-12T18:08:00] front_door_lock | DoorLock.LockState = 2

[2026-06-12T17:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-12T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Occupancy sensors show active presence in Living Room and Dining Room around 18:00-18:06, yet the Front Door was locked manually at 18:08. If these occupants are family members leaving, why was the door locked while they were still detected inside? Or if they are intruders, how did they enter/exit to lock the door?

[2026-06-12T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-12T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-12T18:05:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-12T18:06:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Window closing events in Kids and Master bedrooms occurring within minutes of each other without explicit manual override logs visible in the snippet.

Front door unlocking automatically (Auto source) at 22:33:26 immediately following a sequence of window closures and a manual lock earlier.

Presence of occupants in Entrance/Living/Dining areas shortly before the first manual lock event.

Timestamps of command origin for the window covering motors to determine if one human operated both or if an automation rule fired.

User authentication logs (app usage, smart speaker voice commands) at 20:42 and 22:33 to identify who initiated actions.

Geofence status history to see if a 'Away' mode was triggered remotely causing the auto-unlock.

Motion sensor trails in the hallway/entrance between 18:00 and 18:10 to confirm if people were actually leaving or just standing still.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 702,
  "salient_event_count": 60,
  "focus_event_count": 90,
  "room_activity": {
    "kitchen": 13,
    "master_bedroom": 13,
    "entrance": 18,
    "kids_room": 12,
    "master_bathroom": 2,
    "dining_room": 10,
    "living_room": 20,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T22:33:26] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous or near-simultaneous window closure in multiple private rooms (Kids, Master) coinciding with an automated front door unlock suggests a coordinated 'arm/disarm' routine that may be triggered by a specific condition (e.g., geofence exit) rather than natural behavior, especially given the high occupancy count in living areas.",
      "supported_by": [
        "[2026-06-12T20:42:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-12T22:33:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-12T22:33:26] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The user is manually securing the home at night (closing windows, locking doors) after being present in various rooms.",
      "supported_by": [
        "[2026-06-12T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-12T20:42:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "[2026-06-12T22:33:26] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-12T22:33:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Occupancy sensors show active presence in Living Room and Dining Room around 18:00-18:06, yet the Front Door was locked manually at 18:08. If these occupants are family members leaving, why was the door locked while they were still detected inside? Or if they are intruders, how


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

{
  "is_anomaly": false,
  "confidence": "high",
  "threat_type": "none",
  "threat_description": "The log sequence indicates a legitimate evening departure and morning return, with the late-night window opening being an automated routine triggered by the house becoming empty, not an intrusion.",
  "reasoning": [
    "Morning sequence (07:14) shows a complete, logical loop: Manual Unlock -> Contact Open -> Auto Lock within seconds, confirming the door mechanism works correctly and owners use it to leave/return.",
    "Evening sequence (18:07) mirrors the morning pattern exactly: Manual Unlock followed immediately by Contact Open (door opened), then later (22:22) the system Auto-Locks upon detecting occupancy loss in the master bedroom.",
    "The 'Kids Room Window' event at 21:19 occurred while all sensors reported Occupancy=0 for 3+ hours (since 16:02), consistent with a scheduled automated opening or maintenance routine rather than human entry.",
    "No evidence of forced entry, prolonged door open times, or unauthorized access patterns exists; the system behavior is consistent with a smart home managing security during unoccupied hours."
  ],
  "key_evidence": [
    "[2026-06-29T07:14:28] front_door_contact | BooleanState.StateValue = False" followed quickly by auto-lock, proving valid manual exit logic.",
    "All room occupancy sensors remained at 0 from 16:02 until 22:22, confirming the house was genuinely empty when the window opened."
  ],
  "recommended_actions": [
    "Review smart-home automation schedules to ensure 'Kids Room Window' opening at 21:19 aligns with user intent, as it occurs after long periods of vacancy.",
    "No immediate security intervention required; logs confirm normal operation."
  ]
}

[2026-06-29T07:14:37] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T16:02:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-29T22:22:28] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T06:36:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-29T07:14:26] front_door_lock | DoorLock.LockState = 2

[2026-06-29T07:14:37] front_door_lock | DoorLock.LockState = 1

Kids Room Window Opening (21:19) occurring after the front door was manually unlocked but before it was re-locked, suggesting potential movement between areas.

Check for motion sensor triggers in 'entrance', 'kids_room', or 'living_room' between 18:07 and 22:22 to confirm if human presence was detected.

Verify the source of the 'Auto' lock operation at 22:22; was it triggered by proximity loss or a scheduled timer?

Cross-reference the 'kids_room_window' opening with any 'contact_sensor' events on the kids_room window frame itself.

Analyze camera feeds (if available) or doorbell logs around 18:07 to see who performed the manual unlock.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2296,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 8,
    "living_room": 15,
    "dining_room": 7,
    "master_bedroom": 11,
    "second_bedroom": 7,
    "kids_room": 13,
    "master_bathroom": 7,
    "entrance": 21
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T07:14:26] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T07:14:37] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or break-in attempt during evening hours, characterized by a sequence of front door unlocking (manual) followed immediately by re-locking (auto/manual) and subsequent window opening.",
      "supported_by": ["[2026-06-29T18:07:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-29T18:07:00] front_door_lock | DoorLock.LockState = 2 (Unlocked)", "[2026-06-29T21:19:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Fully Open)", "[2026-06-29T22:22:28] front_door_lock | DoorLock.LockState = 1 (Locked via Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled maintenance or automated cleaning routine involving kitchen activity and room occupancy checks at midnight.",
      "supported_by": ["[2026-06-29T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "... all other rooms occupancy = 0", "High activity count in kitchen (8) and entrance (21) relative to other rooms"],
      "contradicted_by": ["The specific sequence of manual unlock -> auto lock -> window open does not fit standard 'empty house' patterns without external trigger logic", "Window opening in kids_room while occupancy is 0 suggests either a ghost event or an intruder entering through the front door later"]
    }
  ],
  "most_concerning_signals": [
    "Sequence: Manual Front Door Unlock (18:07) -> State Unlocked -> Kids Room Window Opens (21:19) -> Front Door Auto-Locks (22:22). This implies someone entered, unlocked the door, went upstairs, opened the window, and then the system locked the door automatically.",
    "Kids Room Window Opening (21:19) occur


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 simultaneous and sustained zero occupancy across all zones is a normal state indicating the household is away during active daylight hours.

Explanation: Raw logs confirm 'OccupancySensing.Occupancy = 0' for every monitored zone (living, dining, bedrooms, bathrooms, entrance) consistently from 12:00 to 16:00.

Explanation: Temperature sensors are reporting valid environmental readings with gradual cooling trends, which is consistent with HVAC operation or passive cooling in an unoccupied house, rather than sensor drift or malfunction.

Explanation: The absence of any motion events, door lock status changes, or alarm triggers rules out intrusion, tailgating, or internal safety incidents (fire/CO/fall).

Explanation: The pattern represents a standard 'Away' mode scenario where occupants are not present at home during work/school hours.

Timestamped logs showing Occupancy=0 for all 8+ distinct zones simultaneously.

Continuous temperature measurements indicating stable environmental conditions without sudden spikes or drops indicative of equipment failure.

Log the event as normal 'Away' activity.

No immediate intervention required; continue monitoring.

[2026-06-21T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Door lock status timeline around 12:00 to verify if doors were unlocked/locked indicating entry/exit

Smartphone location data or Wi-Fi connection logs for resident devices between 11:30 and 13:30

Specific types of the 60 salient events to rule out automated maintenance tasks

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 755,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous and sustained total absence of occupants across all monitored zones (living, dining, bedrooms, bathrooms) for at least 2 hours during active daylight hours.",
      "supported_by": ["suspicious_signals list showing Occupancy=0 for every room from 12:00 to 13:00 on multiple consecutive intervals"],
      "contradicted_by": ["room_activity counts show 9-17 events per room, suggesting some sensor triggers occurred, though not explicitly listed in the provided suspicious_signals snippet"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Household is currently away or engaged in a pre-programmed 'Away' mode where occupancy sensors are masked or expected to be low due to specific cleaning routines.",
      "supported_by": ["high event counts in kitchen, living_room, and entrance suggesting automated cleaning robots or HVAC cycling despite no human presence"],
      "contradicted_by": ["total silence across ALL rooms including entrances and hallways simultaneously suggests a lack of any movement, which is statistically unlikely for a single household unless specifically vacated"]
    }
  ],
  "most_concerning_signals": [
    "Massive correlation of zero occupancy across 8+ distinct zones within seconds (12:00:00)",
    "Persistence of zero occupancy state through 12:00, 12:30, and 13:00 timestamps",
    "Discrepancy between high aggregate event counts (755 total, 60 salient) and complete occupancy vacuum"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of the 755 events to determine if they are motion-triggered vs. environmental (temp/light) or device cycles (washing machine/HVAC)",
    "Door lock status timeline around 12:00 to verify if doors were unlocked/lo


触发安全警报，临时禁用 Keypad 输入，通知住户

Multiple failed lock attempts from a non-standard source (OperationSource=3) at the front door were followed immediately by an alarm and then by unexplained occupancy in the entrance area, suggesting a forced entry attempt.

Explanation: A cluster of four 'LockOperationError' events occurred between 20:13:00 and 20:13:40, all originating from OperationSource=3, which is not a standard user or automated system.

Explanation: This was immediately followed by a 'DoorLockAlarm' at 20:13:50, indicating the system detected a security breach or tampering event.

Explanation: Contradicting a simple false positive or user error, occupancy sensors registered presence in the 'entrance_occupancy' zone at 20:14:03, approximately one minute after the alarm triggered, implying someone may have entered during the disturbance.

[2026-06-09T20:14:03] entrance_occupancy | OccupancySensing.Occupancy = 1

Immediately check live video feeds for the front door and entrance hallway to identify any intruders or suspicious individuals.

Contact local authorities to report a potential break-in if no occupant is currently present inside the home.

Review historical logs for OperationSource=3 to determine if it corresponds to a known third-party device or indicates hardware tampering.

[2026-06-09T18:04:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T22:41:27] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T20:40:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

Window closing times (100%) are standard for night-time; however, the timing relative to the door alarm is suspicious if no one was present to close them manually.

Cluster of 4 'LockOperationError' events followed immediately by a 'DoorLockAlarm' within 40 seconds at 20:13.

OperationSource=3 during errors indicates an external or non-standard source attempting interaction.

Check camera feeds for the entrance and living room between 20:10 and 20:20 to see if anyone approached the door.

Verify the state of the contact sensor on the front door during the error cluster to determine if the door was physically open while locked/unlocked attempts occurred.

Review audio logs near 20:13 for sounds of drilling, banging, or voice commands.

Cross-reference smart home app activity logs to see if any user initiated these lock operations manually.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1325,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 11,
    "master_bedroom": 15,
    "dining_room": 12,
    "entrance": 25,
    "kids_room": 14,
    "living_room": 12,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T16:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T18:04:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Attempted forced entry or lock failure indicating a security breach attempt around 20:13.",
      "supported_by": [
        "[2026-06-09T20:13:00] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-09T20:13:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-09T20:13:25] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-09T20:13:40] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
        "[2026-06-09T20:13:50] front_door_lock | Event: DoorLockAlarm(AlarmCode=3)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening routine where occupants moved from public areas (entrance/dining) to private rooms (kids/master bedroom).",
      "supported_by": [
        "[2026-06-09T11:55:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-09T11:57:23] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-09T11:58:00] kids_room_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-09T22:41:21] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "High frequency of lock errors preceding the successful lock at 22:41 suggests an interrupted event rather than a seamless transition."
      ]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Potential unauthorized access or internal tampering with window coverings shortly after the failed door locking events.",
      "supported_by": [
        "[2026-06-09T20:4


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

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

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

The kitchen cook surface was manually turned on at T=01:32 while occupancy sensors for all residential zones (including the kitchen) reported zero occupants, indicating a device was operated without human presence.

Explanation: Occupancy sensors across all monitored rooms consistently reported 'Occupancy = 0' from T=00:00 through T=01:30.

Explanation: At T=01:31 and T=01:32, transient occupancy signals were detected in the kids_room and master_bedroom, followed immediately by activity elsewhere.

Explanation: At T=01:32, the log explicitly records 'kitchen_cook_surface | OnOff = True', confirming a cooking appliance was activated during this window of reported absence.

[2026-06-07T01:32:00] kitchen_cook_surface | OnOff = True

[2026-06-07T01:30:00] ... living_room_occupancy | OccupancySensing.Occupancy = 0

Immediately verify if any food is currently cooking on the stove or if an automated timer triggered the device.

Check for active smoke detectors or gas leak alerts associated with the kitchen zone.

Review smart home logs to determine if the event was a manual override by a remote user or an unintended auto-trigger.

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

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

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

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

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

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

Review device logs for 'door_lock' unlock/lock cycles between 00:00 and 01:00.

Check if any smart appliances (dishwasher, AC, lights) were manually triggered or remotely controlled during this window.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1492,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 10,
    "living_room": 16,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 10,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",

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

## Query
以下是过去 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": "The home is completely unoccupied (empty house) for at least the first 3 hours of the day, evidenced by zero occupancy in all monitored rooms simultaneously and repeatedly.",
      "supported_by": ["suspicious_signals shows OccupancySensing.Occupancy = 0 across living_room, dining_room, master_bedroom, second_bedroom, kids_room, master_bathroom, entrance at T=00:00 and T=00:30 and T=01:00"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "The house is occupied but sensors are failing or misconfigured (e.g., blind spots, calibration drift), resulting in false negative readings despite activity.",
      "supported_by": [],
      "contradicted_by": ["The pattern of simultaneous zeros across all distinct zones (bedrooms, bathrooms, common areas) makes a total system-wide sensor failure highly improbable compared to the hypothesis of actual absence."]
    }
  ],
  "most_concerning_signals": [
    "Simultaneous 'Occupancy = 0' reported across all residential zones (living, dining, all bedrooms, bathrooms, entrance) within a continuous 3-hour window.",
    "High event count (1492) combined with Salient Event Count (60) suggests significant background noise or automated device triggers occurring while no humans are present."
  ],
  "what_to_verify_in_raw_log": [
    "Check timestamped logs for any 'motion_detected' or 'presence_confirmed' events that might contradict the aggregate 'Occupancy = 0' state.",
    "Verify the status of contact sensors on doors/windows (entrance, balcony, windows) during this period to see if they report open/closed states inconsistent with an empty house.",
    "Review device logs for 'door_lock' unlock/lock cycles between


触发安全警报，临时禁用 Keypad 输入，通知住户

No anomaly detected; the sequence of bedroom window opening followed by an auto-unlock is consistent with a smart-home automation routine for ventilation or evening departure preparation.

Explanation: Occupancy sensors confirm residents were present in the master bedroom and kids room at the times windows were opened (21:10 and 22:36), refuting the intrusion hypothesis that requires empty rooms.

Explanation: The front door unlock event was triggered by 'Auto' source immediately after the contact sensor detected the door opening, indicating a pre-programmed exit routine rather than manual manipulation by an intruder.

Explanation: Historical data shows regular manual locking patterns (16:00, 18:20) and no irregularities in temperature or other sensor readings to suggest a forced entry or environmental hazard.

[2026-06-02T21:13:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-02T22:36:18] front_door_contact | BooleanState.StateValue = True

Verify if the 'Auto' unlock rule includes a condition for 'Bedroom Window Opened' to confirm it matches standard household procedures.

Ensure motion sensors in hallways are calibrated correctly to detect movement if residents are moving between bedrooms and the entrance during these routines.

[2026-06-02T18:20:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T16:00:00] front_door_lock | DoorLock.LockState = 2

[2026-06-02T18:20:00] front_door_lock | DoorLock.LockState = 2

Sequence of Bedroom Window Coverings fully opening (100%) at night (21:10, 22:36) without concurrent hallway/living room occupancy.

Front door auto-unlock immediately following the second bedroom window opening event (22:36:12 vs 22:36:19).

Raw motion sensor logs for kids_room, master_bedroom, and the path from bedrooms to the entrance between 21:00 and 23:00 to confirm if sensors missed movement.

Smartphone GPS/location history for known residents around 21:00-23:00 on 2026-06-02.

Audio logs or camera feeds (if available) for the kitchen/entrance area at 22:36 to verify who unlocked the door.

History of 'front_door_lock' operations to determine if 'Auto' source is a recognized smart-home automation rule or an unknown trigger.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1315,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "kids_room": 13,
    "entrance": 19,
    "master_bedroom": 16,
    "dining_room": 13,
    "living_room": 16,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T18:20:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Intrusion or unauthorized entry suspected due to sequential front door unlock followed by specific room window opening events.",
      "supported_by": [
        "[2026-06-02T22:36:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-02T22:36:12] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-02T21:10:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No occupancy sensor triggered in living_room, entrance, or hallways between the window opening and door unlocking.",
        "The time delta (approx. 7 minutes) between the last window event (21:10) and door unlock (22:36) allows for legitimate activity not captured by salient events."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residential occupant departing home after evening routine.",
      "supported_by": [
        "[2026-06-02T22:36:19] front_door_lock | DoorLock.LockState = 1 (Unlocked state change suggests preparation for exit or arrival, context implies exit given previous lock states)",
        "High activity counts in common areas (Entrance: 19, Kitchen/Living/Dining: ~12-16) during daytime hours suggesting family presence.",
        "Front door locked twice at 16:00 and 18:20 via Manual operation."
      ],
      "contradicted_by": [
        "Window coverings fully opened ('10000') in private bedrooms (Master and Kids) at 21:10 and 22:36 while no corresponding motion was detected in the main living spaces or hallways leading to them.",
        "If occupants were leaving, why open bedroom curtains/window covers at night?"


通知住户检查是否有人误操作或系统异常

The automatic front door unlock at 22:38:30 is a direct response to the contact sensor detecting an opening (door opened), which is consistent with normal resident exit behavior rather than a forced entry or system malfunction.

Explanation: Front door lock state changed to Locked (2) manually at 16:35 and 18:19 while occupancy sensors confirmed residents were inside, indicating standard security routines.

Explanation: At 22:38:29, the front_door_contact sensor reported 'True' (open), immediately preceding the Auto unlock command at 22:38:30.

Explanation: This sequence confirms the 'Auto' unlock was triggered by the door being physically opened from the outside, consistent with a resident leaving, not a breach or glitch.

Explanation: Window coverings closing in bedrooms aligns with evening winding-down routines.

[2026-06-02T22:38:29] front_door_contact | BooleanState.StateValue = True

[2026-06-02T22:38:30] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Verify user authentication logs if available to confirm who exited at 22:38:30.

Review home automation scenes to ensure the 'Auto' unlock logic is intentional for door-open triggers.

[2026-06-02T18:19:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-02T16:35:00] front_door_lock | DoorLock.LockState = 2

[2026-06-02T18:19:00] front_door_lock | DoorLock.LockState = 2

[2026-06-02T20:42:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-02T22:38:26] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-02T22:38:30] front_door_lock | DoorLock.LockState = 1

The precise timing of the front door unlock (22:38:30) exactly matching the earlier lock state change suggests either a highly synchronized automation or a direct correlation that needs verification against other logs.

Check if any motion sensor triggered the automatic unlock event at 22:38:30.

Verify if there was an attempted forced entry detected by the contact sensor on the front door prior to 16:35 or 18:19.

Cross-reference the 'Manual' lock sources at 16:35 and 18:19 with user authentication logs to confirm identity.

Inspect the timeline around 20:42 and 22:38 for window covering commands to see if they were manual or automated scenes.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 1316,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "dining_room": 13,
    "entrance": 19,
    "kids_room": 14,
    "master_bedroom": 16,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T16:35:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T18:19:00] front_door_lock | Event: Lock

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized or remote entry event followed by immediate internal lockdown, suggesting a break-in attempt or simulated breach.",
      "supported_by": [
        "front_door_lock lock state changed to Locked (2) at 16:35 and 18:19 via Manual source, but no corresponding door opening/closing sequence immediately preceding these in the provided snippet.",
        "front_door_lock unlocked (state 1) automatically at 22:38:30, which is unusual for an entrance unless triggered by a specific automation rule not listed.",
        "The sequence of events shows manual locking twice in the afternoon/evening, potentially inconsistent with typical resident behavior if they were already inside (indicated by occupancy sensors)."
      ],
      "contradicted_by": [
        "Occupancy sensors show presence in multiple rooms (dining, entrance, kids, master_bedroom) around 11:55-12:04, suggesting residents were active and likely present when the manual locks occurred."
      ]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents performing routine home security checks after returning home or before leaving, with automated systems managing window coverings.",
      "supported_by": [
        "Manual lock operations at 16:35 and 18:19 could correspond to users securing doors after entering or moving between rooms.",
        "Window coverings fully closed (10000) in kids_room and master_bedroom at 20:42 and 22:38 respectively, consistent with evening routines.",
        "Front door auto-unlocked at 22:38:30 could be part of a 'Goodnight' or 'Away' scene transition where the system prepares for potential return or simulates activity."
      ],
      "contradicted_by": [
        "T


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

No security threat detected; the early morning manual lock operation was a confirmed near-miss false positive where the door remained closed and unlocked throughout the sequence.

Explanation: Occupancy sensors were empty at midnight but populated normally by 02:30, indicating no ghost occupancy or sensor failure during the night.

Explanation: At 07:25:23, the user manually locked the front door while the contact sensor reported 'Closed' (False), confirming the door was not open.

Explanation: The subsequent auto-unlock at 07:25:31 occurred immediately after the manual lock, resetting the state to 'Unlocked' (State=1) with the door still physically closed, proving no intrusion occurred.

Explanation: All other activities (window closures, evening locks/unlocks) follow consistent temporal patterns with occupancy data, supporting normal household behavior.

[2026-06-18T07:25:23] front_door_contact | BooleanState.StateValue = False (Door was closed)

[2026-06-18T07:25:31] front_door_lock | DoorLock.LockState = 1 (Auto-unlock reset state)

[2026-06-18T07:25:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T16:00:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T17:40:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-18T22:37:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-18T06:32:10] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0

[2026-06-18T07:25:23] front_door_lock | DoorLock.LockState = 2

Timestamped logs for the contact_sensor on 'entrance' around 07:25 to confirm if the door was actually opened before being locked manually.

User authentication logs associated with the manual lock operation at 07:25:23 to verify if a legitimate user accessed the system.

Historical data for 'front_door_lock' to determine if manual locking at 07:25 is a recurring habit or an anomaly.

Raw state transitions of 'kids_room_window' and 'master_bedroom_window' at 21:04 and 22:37 to check for command sources vs. physical triggers.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2299,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 19,
    "dining_room": 8,
    "master_bedroom": 13,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-18T07:25:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:25:31] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential break-in attempt or unauthorized entry/exit sequence involving manual locking at odd hours.",
      "supported_by": ["[2026-06-18T07:25:23] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-18T07:25:31] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-18T16:00:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-18T17:40:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled window closure automation occurring in the evening.",
      "supported_by": ["[2026-06-18T21:04:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-18T22:37:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Discrepancy between occupancy sensor reports and manual door lock operations suggesting ghost occupancy or sensor failure.",
      "supported_by": ["[2026-06-18T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-18T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0", "... (all rooms report 0 occupancy at midnight)"],
      "contradicted_by": ["[2026-06-18T07:25:23] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)"]
    }
  ],
  "most_concerning_signals": [
    "[2026-06-18T07:25:23] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-18T07:25:31] front_door_lock | Even


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

通知家长确认孩子是否生病在家/逃学

The sequence of window closure followed by an auto-lock is consistent with a standard 'Goodnight' or 'Away' automation routine triggered by residents settling in their bedrooms.

Explanation: Occupancy logs show residents actively moving into the Master Bedroom and Kids Room between 21:15 and 22:31, coinciding exactly with the window closing commands.

Explanation: The 'Auto' lock event at 22:31:18 occurred immediately after the front door contact sensor reported 'Closed' (True) and while occupancy was confirmed inside the bedrooms, indicating a legitimate trigger condition for a 'secure home' routine rather than an intrusion response.

Explanation: There is no evidence of forced entry (e.g., repeated manual unlocks, motion sensors tripping in the entrance/hallway without occupancy correlation, or door contacts showing 'Open' during the lock cycle). The manual lock at 18:17 was a separate, earlier event with full occupant presence.

[2026-06-16T22:31:17] front_door_contact | BooleanState.StateValue = True

[2026-06-16T22:31:18] front_door_lock | OperationSource=Auto

Review smart-home automation rules to confirm the 'Window Closed -> Lock Door' logic is intentional.

No immediate security escalation required; verify device battery levels if this behavior seems inconsistent with past user habits.

[2026-06-16T18:17:00] front_door_lock | DoorLock.LockState = 2

Sequence of Kids Room and Master Bedroom windows closing to 100% followed immediately by an Auto-lock event on the front door at 22:31.

Ambiguity of 'Auto' lock operation source combined with recent manual interaction.

Timestamps and duration of the window motor commands vs. the actual physical state change for kids_room_window and master_bedroom_window.

The specific logic rule or sensor trigger chain that initiated the 'OperationSource=Auto' lock command at 22:31:18.

Motion sensor logs for the hallway/entrance area between 21:15 and 22:31 to rule out an intruder triggering sensors.

User identity associated with the manual lock event at 18:17 to confirm household member presence.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 698,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 13,
    "dining_room": 12,
    "master_bedroom": 13,
    "entrance": 18,
    "kids_room": 11,
    "living_room": 19,
    "second_bedroom": 2,
    "master_bathroom": 3
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-16T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-16T22:31:18] front_door_lock | Event: LockOp

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Automated door locking event occurs after a window closure sequence, potentially indicating an intrusion attempt that was sealed or a confused automation trigger.",
      "supported_by": ["[2026-06-16T22:31:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-16T22:31:10] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-16T21:15:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are transitioning between rooms (Entrance -> Master Bedroom/Kids Room) shortly after arriving home, consistent with settling in patterns.",
      "supported_by": ["[2026-06-16T17:55:03] dining_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-16T17:59:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-16T18:04:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "High frequency of manual and auto lock operations within a short timeframe suggests either user confusion, repeated failed attempts, or a system glitch.",
      "supported_by": ["[2026-06-16T18:17:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-16T22:31:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-16T22:31:18] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Sequence of Kids Room and Master Bedroom windows closing to 10


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 smart home occupancy system is reporting a persistent 'empty house' state across all zones for an extended period, despite the presence of ambient temperature sensors that are actively logging data and fluctuating normally, indicating the sensors themselves are functional but the occupancy logic or specific detectors are stuck/failing.

Explanation: All monitored rooms report Occupancy=0 consistently from 12:00 to 16:00, creating a complete house vacancy signal.

Explanation: However, kitchen_temp_sensor and living_room_temp_sensor logs show continuous, realistic temperature readings (ranging from 2531 to 2396) during this exact same timeframe, proving the devices are online and sensing environmental changes.

Explanation: The discrepancy between active environmental sensing (temp) and zero occupancy indicates a failure in the motion/occupancy detection logic or hardware, rather than actual human absence, as a truly empty house would not require the frequent re-sampling seen here unless the system is polling for error conditions or simply malfunctioning.

Explanation: The lack of any other device activity logs (like lights, locks, or appliances) in the provided excerpt further suggests the automation engine believes no one is home and has likely disabled active routines, consistent with a sensor freeze.

Timestamp 12:00-16:00 shows OccupancySensing.Occupancy = 0 for ALL rooms simultaneously.

Concurrent timestamps show valid TemperatureMeasurement values (e.g., 2531 -> 2478) from kitchen and living room sensors, confirming hardware functionality.

No log entries for door locks, window covers, or cooking surfaces exist in the raw excerpt, implying automated systems are dormant due to the false 'vacant' status.

Immediately trigger a manual site verification or dispatch security personnel to check if residents are actually present inside.

Check local controller logs for 'communication timeout' or 'sensor calibration failed' errors on the occupancy sensors.

Force a full system reboot or reset of the occupancy module to clear potential software glitches.

[2026-06-21T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-21T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Logs for window_covering motors (kids_room, living_room, etc.) to see if they opened/closed automatically or manually.

Cook_surface and dishwasher logs to verify if cooking/washing activities occurred while occupancy was 0.

Contact_sensor logs for balcony_door, entrance_door, and all window sensors to rule out forced entry or accidental opening.

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 749,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 18,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-21T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-21T12:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous and sustained total house vacancy (ghosting) with active room activity metrics.",
      "supported_by": ["suspicious_signals showing Occupancy=0 for all monitored rooms at 12:00, 12:30, and 13:00", "event_count of 749 and salient_event_count of 60 indicating significant device operations occurring during the reported vacancy"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are present but currently out of sensor range (e.g., outside the house or in a blind spot), while smart home automation routines continue running.",
      "supported_by": ["room_activity counts suggest devices are interacting or reporting state changes despite zero occupancy readings", "absence of specific motion triggers for lights/appliances suggests automation logic is handling events without human presence detection"],
      "contradicted_by": ["If residents were truly absent, 'salient events' like appliance usage or door locks might show different patterns unless pre-programmed; however, high event counts during strict 'no occupancy' windows lean towards anomaly"]
    }
  ],
  "most_concerning_signals": [
    "Complete synchronization of Occupancy=0 across Living Room, Dining Room, Bedrooms, Bathrooms, Entrance, and Kids Room at identical timestamps (12:00, 12:30, 13:00).",
    "High volume of 'salient events' (60) and total events (749) occurring simultaneously with total house vacancy."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of door_lock status changes (entrance_door_lock) to determine if anyone has exited/entered recently.",
    "Logs for window_covering motors (kids_room, living_room, etc.) to see if they opened/closed automati