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

{
  "is_anomaly": true,
  "confidence": "high",
  "threat_type": "sensor_malfunction",
  "threat_description": "Systematic reporting of zero occupancy across all rooms at regular intervals while temperature sensors remain active and functional indicates a synchronization or firmware failure rather than actual evacuation.",
  "reasoning": [
    "Occupancy sensors report '0' for every single room simultaneously at precise 30-minute intervals (18:00, 18:30, etc.), which is physically improbable for human movement patterns.",
    "Contradictory evidence exists in the log: Temperature sensors are actively sending data points between these timestamps (e.g., 18:05, 18:35), proving the network and power supply are stable and the house is not unattended.",
    "The perfect uniformity of the fault across disparate sensor types (occupancy) at fixed time steps strongly points to an aggregation layer glitch, timestamp alignment error, or periodic reset loop in the sensor firmware."
  ],
  "key_evidence": [
    "[2026-06-27T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0" followed immediately by "[2026-06-27T18:05:00] living_room_temp_sensor | TemperatureMeasurement.MeasuredValue = 2327",
    "Recurring pattern of total zero-occupancy at 18:00, 18:30, 19:00, 19:30, 20:00, 20:30, 21:00, 21:30, and 22:00 without any intervening activity logs."
  ],
  "recommended_actions": [
    "Check IoT gateway system logs for clock skew or aggregation service crashes around 18:00.",
    "Inspect firmware version of all occupancy sensors; check for known bugs related to periodic status resets.",
    "Verify if the 'Occupancy=0' value is a valid state sent by devices or if it represents a missing packet being interpreted as empty by the dashboard."
  ]
}

[2026-06-27T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

none specific in provided packet, but contradicts the logic of H1's human-centric interpretation

Raw binary payload from living_room_occupancy_sensor at 18:00 to check for signal loss vs. valid zero reading

Motion detection raw values (e.g., blob count/velocity) immediately preceding the 18:00 timestamp to rule out sensor blind spots

Network latency logs for the IoT gateway around 18:00-19:00 to identify synchronization gaps

Door lock state history during these windows to confirm if doors were actually opened (supporting evacuation hypothesis)

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 376,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[20

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous or near-simultaneous total house evacuation detected across all monitored rooms at regular intervals (18:00, 18:30, 19:00), suggesting either a coordinated mass exit event or a systematic sensor failure/calibration drift.",
      "supported_by": ["suspicious_signals shows Occupancy=0 for nearly every room type (living, dining, bedrooms, bathrooms, entrance) at identical timestamps"],
      "contradicted_by": ["room_activity counts show significant activity in kitchens and living rooms (9-17 events) within the same timeframe, which theoretically should generate occupancy updates if people were present"]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled cleaning robot or maintenance crew movement pattern where sensors are temporarily blinded or reset, creating false 'empty' readings despite human presence elsewhere.",
      "supported_by": ["regular 30-minute interval pattern suggests an automated process rather than random human behavior"],
      "contradicted_by": ["simultaneous zero-occupancy across distinct private spaces like master_bedroom and kids_room is highly improbable for standard cleaning schedules unless they are all empty simultaneously, contradicting high activity counts in other areas"]
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Sensor firmware glitch or network synchronization issue causing periodic data dropouts interpreted as 'empty' states by the aggregation layer.",
      "supported_by": ["perfectly uniform timestamps and values across disparate sensor types suggest a system-level reporting error rather than physical reality"],
      "contradicted_by": ["none specific in provided packet, but contra


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

疑似尾随入侵警报，建议住户确认是否有同行人

The observed sequence is consistent with residents returning home late in the evening to secure windows and locks manually before sleeping, rather than an intrusion.

Explanation: Occupancy logs confirm residents were present in the Kids Room (20:40) and Master Bedroom (22:18) immediately prior to the window closures.

Explanation: The 'Auto' lock event at 22:18:31 was triggered by a door contact sensor detecting the door closed (BooleanState=True), which is a standard automated response when a user manually closes and leaves a door after securing the house.

Explanation: The sequence of events (Enter House -> Close Windows -> Door Contact Closes -> Auto Lock) follows a logical pattern for securing a residence at night, contradicting the hypothesis of an unauthorized entry that would likely show conflicting occupancy or door states.

[2026-06-25T20:40:03] entrance_occupancy | OccupancySensing.Occupancy = 1

[2026-06-25T22:18:16] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

[2026-06-25T22:18:30] front_door_contact | BooleanState.StateValue = True

[2026-06-25T22:18:31] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

No action required; log as normal resident activity.

Continue monitoring for any deviation from this established evening routine.

[2026-06-25T17:27:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=3, UserIndex=1)

[2026-06-25T16:23:00] front_door_lock | DoorLock.LockState = 2

[2026-06-25T18:10:00] front_door_lock | DoorLock.LockState = 2

High frequency of occupancy events in common areas (Entrance, Dining, Living) while private bedrooms show no activity until late evening, creating a 'ghost' pattern where rooms are secured before anyone is detected inside.

Check raw motion sensor logs for Kids Room and Master Bedroom between 20:00 and 22:30 to confirm if any movement preceded the window closure.

Verify the source IP or MAC address associated with the 22:18:31 lock unlock event (if smart lock supports remote/app access logs) to distinguish between manual local operation vs. automated/scripted action.

Cross-reference camera footage (if available) for the Entrance and Hallway between 20:30 and 22:30 to visually confirm who/what entered the house and why windows were closed.

Check if the 'Auto' lock operation at 22:18:31 was triggered by a geofence exit of a user device, which might explain the anomaly if a user left unexpectedly.

## 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": 1326,
  "salient_event_count": 60,
  "focus_event_count": 95,
  "room_activity": {
    "kitchen": 12,
    "kids_room": 14,
    "master_bathroom": 2,
    "master_bedroom": 16,
    "entrance": 22,
    "dining_room": 12,
    "living_room": 15,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T17:27:00] 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": "Unusual evening sequence: Front door unlocked (20:40) followed by rapid closing of all windows/curtains in children's and master bedrooms, then re-locking the front door at night (22:18), suggesting a potential break-in attempt or unauthorized entry that was contained.",
      "supported_by": [
        "[2026-06-25T20:40:04] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-25T22:18:20] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-25T22:18:31] front_door_lock | DoorLock.LockState = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Residents are securing the home for the night manually after returning from an outing, indicated by manual lock operations and closing windows.",
      "supported_by": [
        "[2026-06-25T16:23:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T18:10:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"
      ],
      "contradicted_by": [
        "The timing of window closure (20:40, 22:18) relative to the final lock (22:18) is too immediate and specific to random routine; typically residents close windows upon entry, not hours later."
      ]
    }
  ],
  "most_concerning_signals": [
    "Front door locked state changed to UNLOCKED (State=1) at 22:18:31 after being locked earlier, coinciding with bedroom window closures.",
    "Sequential closure of Kids Room and Master Bedroom windows/curtains exactly one hour apart (20:40 vs 22:18) without prior occupancy detection in those rooms during that gap.",
    "High fr


触发安全警报，临时禁用 Keypad 输入，通知住户

The occupancy logs from 17:55 to 18:09 represent legitimate household activity occurring prior to the door unlock event, while the unlock at 18:12 corresponds to a subsequent entry or re-entry of occupants who were previously away (as indicated by the empty living room/second bedroom at 18:00).

Explanation: Occupancy sensors for Entrance, Kids Room, Dining Room, and Master Bedroom were triggered between 17:55 and 18:09, well before the front door manual unlock at 18:12.

Explanation: This early occupancy confirms that residents entered the home via other means (e.g., back door) or arrived earlier than the specific 'front door' log event suggests; the house was not empty until at least 18:00 when Living Room and Second Bedroom registered as empty.

Explanation: The event at 18:12 (Manual Unlock + Contact Open) followed by Living Room activation indicates a second entry point or a resident returning to the main area after checking other rooms, which is consistent with normal family dynamics rather than unauthorized intrusion.

Explanation: No evidence of forced entry, secondary breach attempts, or conflicting sensor states was found in the raw logs.

[2026-06-25T17:55:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 1

Review security camera footage for the 17:45–18:15 window to confirm the primary entry method used by residents.

Verify if the 'front_door_lock' manual unlock event was intentionally performed by a resident to open an already unlocked door or to allow someone else in after they had already entered.

[2026-06-25T22:10:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-25T21:06:07] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-25T22:10:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-25T22:10:22] front_door_lock | DoorLock.LockState = 1

[2026-06-25T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1

The specific timing gap between the manual unlock (18:12) and the first detection of occupants in private zones (18:01/18:05) if we assume the log order implies a continuous timeline from 18:00 onwards. Note: The log shows Living Room empty at 18:00 but Entrance occupied at 18:01, while Front Door was locked until 18:12. This creates a logical inconsistency regarding how they got inside before the door was officially logged as unlocked manually.

Actually, looking closer: Log shows Living Room Empty at 18:00. Entrance Occupied at 18:01. Kids Room Occupied at 18:05. BUT Front Door Manual Unlock is at 18:12. If the door was locked until 18:12, occupants could not have been in the house (Entrance/Kids/Dining/MasterBed/MasterBath occupied) at 18:01-18:05 unless they entered through an unknown secondary path or the sensor data/log timestamps are out of sync.

Temporal conflict: Occupancy detected in Entrance (18:01), Kids Room (18:05), and Dining Room (18:03) BEFORE the Front Door was recorded as manually unlocked (18:12).

Door State Discrepancy: Front Door Lock State = 2 (Unlocked/Open) at 18:12, yet occupancy was already established in interior rooms 10+ minutes prior.

Rapid Multi-Room Activation: Simultaneous occupancy triggers in Entrance, Kitchen (implied by flow), Dining, Kids, and Master areas within a 2-minute window following the anomaly start.

Check raw timestamp precision for the 'front_door_lock' unlock event vs. 'entrance_occupancy' trigger to rule out clock skew.

Verify if the 'front_door_lock' contact sensor reported OPEN/CLOSED state independently of the lock motor action around 18:00-18:12.

Check if any other entry points (e.g., back door, balcony door) show opening events or occupancy changes prior to 18:12.

Review camera footage (if available) for the 18:00-18:12 window to confirm presence location.

## 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": 762,
  "salient_event_count": 60,
  "focus_event_count": 86,
  "room_activity": {
    "kitchen": 11,
    "master_bathroom": 9,
    "entrance": 17,
    "kids_room": 11,
    "dining_room": 9,
    "master_bedroom": 11,
    "living_room": 16,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-25T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-25T22:10:22] front_door_lock | Event: LockOpe

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized access or 'tailgating' event where the front door was manually unlocked (State=2) at 18:12, yet occupancy sensors in multiple private rooms (Kids, Dining, Master Bedroom, Master Bath) were triggered within 4 minutes, suggesting occupants entered without using the main entry point.",
      "supported_by": [
        "[2026-06-25T18:12:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
        "[2026-06-25T18:12:00] front_door_lock | DoorLock.LockState = 2",
        "[2026-06-25T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-25T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0",
        "[2026-06-25T18:01:03] entrance_occupancy | OccupancySensing.Occupancy = 1",
        "[2026-06-25T18:01:05] kids_room_occupancy | OccupancySensing.Occupancy = 1"
      ],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Legitimate household members entering the home via the front door and immediately distributing themselves across various rooms for evening activities.",
      "supported_by": [
        "Sequence of occupancy events starting at 17:55 covers all major rooms by 18:05.",
        "Front door lock state transition to Locked (1) at 22:10 after being unlocked at 18:12."
      ],
      "contradicted_by": [
        "The specific timing gap between the manual unlock (18:12) and the first detection of occupants in private zones (18:01/18:05) if we assume the log order implies a continuous timeline from 18:00 onwards. Note: The log shows Living Room empty at 18:00 but Entrance occupied at 18:01, while Front Door was locked until 18:12. This creates


疑似尾随入侵警报，建议住户确认是否有同行人

The observed events are consistent with a routine evening where residents remained inside the house for several hours before departing and triggering an automated departure lock sequence.

Explanation: Occupancy logs show continuous presence in multiple rooms (entrance, living room, dining room, bedrooms) between 18:00 and 22:39, directly contradicting the hypothesis that the house was vacant after 18:00.

Explanation: Specific timestamps at 20:51 and 22:39 confirm active window closing commands while occupancy sensors still registered '1', indicating residents were likely settling down or preparing to leave rather than being absent.

Explanation: The front door locking event at 22:39 is immediately preceded by a door contact sensor state change ('True'), which is the standard trigger for smart-home 'auto-lock when leaving' routines, confirming a normal exit sequence.

[2026-06-15T20:51:05] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-15T22:39:25] front_door_contact | BooleanState.StateValue = True

Review smart-home automation rules to confirm the 'Auto' lock source relies on the door contact sensor timeout, ensuring it functions as intended for future departures.

No immediate action required; system behavior aligns with expected user patterns.

[2026-06-15T17:56:05] living_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-15T17:57:05] dining_room_occupancy | OccupancySensing.Occupancy = 1

[2026-06-15T17:58:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1

Check motion sensor logs for any activity in bedrooms or living areas between 18:03 and 22:39 to rule out unrecorded returns.

Verify if the 'Auto' source for the door lock corresponds to a specific smart-home rule (e.g., 'Lock when no motion for 4 hours') and check if that rule's timeout parameter matches the observed gap.

Review window covering actuator logs between 18:00 and 22:39 to determine who/what triggered the closure.

## 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": 697,
  "salient_event_count": 60,
  "focus_event_count": 88,
  "room_activity": {
    "kitchen": 13,
    "entrance": 14,
    "living_room": 22,
    "dining_room": 12,
    "master_bedroom": 13,
    "kids_room": 11,
    "second_bedroom": 2,
    "master_bathroom": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-15T22:39:26] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)",
    "[2026-06-15T20:51:06] kids_room_window | WindowCovering

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Premature departure and locking event: The house appears to be vacated (all bedrooms show occupancy=0) between 18:00 and 18:03, yet the front door is locked automatically at 22:39, which is inconsistent with a typical 'leave home' sequence where the lock occurs immediately upon exit.",
      "supported_by": ["[2026-06-15T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-15T22:39:26] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine evening presence pattern: Multiple rooms showed occupancy spikes around 17:56-18:08, suggesting family members entered or were present in various rooms during the evening routine.",
      "supported_by": ["[2026-06-15T17:56:03] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-15T18:08:06] kids_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Window coverings fully closed while residents are still active in bedrooms: Kids room and master bedroom windows/curtains are reported as fully closed (10000) at 22:39, which coincides with the time the front door was locked. If the occupants left at 18:00, this state change happened ~5 hours later, possibly indicating someone returning late but closing blinds before leaving, or automated rules triggering incorrectly after a long absence.",
      "supported_by": ["[2026-06-15T22:39:18] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-15T20:51:06] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-15T22:3


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）

Repetitive lock operation failures at the front door indicate a mechanical jamming or actuator malfunction rather than active intrusion.

Explanation: Occupancy sensors consistently report '0' (empty) from midnight until 13:19, with no motion events detected in between, confirming the house was securely vacant during the incident window.

Explanation: At 13:19:05 and 13:19:15, two consecutive LockOperationError events occurred on the front door within 10 minutes, suggesting the system could not complete the locking/unlocking cycle.

Explanation: The error is likely due to the lock mechanism being stuck or the battery depleting while the door was left unlocked by occupants returning home, creating a security gap due to device failure rather than forced entry.

No occupancy change events recorded between T00:00 and T13:19

Physically inspect the front door lock for jamming or debris immediately.

Replace the lock battery if voltage is low.

Test the lock manually and via app to verify functionality before resuming normal automation.

[2026-06-27T13:19:15] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)

[2026-06-27T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T00:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

Cross-reference the occupancy logs with lighting/curtain state changes to confirm if rooms were physically vacated or if sensors are falsely reading empty.

## 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": 1491,
  "salient_event_count": 60,
  "focus_event_count": 80,
  "room_activity": {
    "kitchen": 9,
    "living_room": 18,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 8,
    "kids_room": 8,
    "master_bathroom": 8,
    "entrance": 11
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-27T13:19:05] front_door_lock | Event: LockOperationError(OperationError=1, OperationSource=3)",
    "[2026-06-27T13:19:15] front_door_lock | Event: LockOperati

## 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": "Repetitive lock failure at the front door indicating potential mechanical jamming, battery depletion, or active tampering/spoofing attempts.",
      "supported_by": ["[2026-06-27T13:19:05] front_door_lock | Event: LockOperationError...", "[2026-06-27T13:19:15] front_door_lock | Event: LockOperationError..."],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Simultaneous occupancy sensor reports of 'Empty' across all residential zones during non-sleep hours (midnight to early morning), suggesting a total house evacuation that contradicts typical family schedules.",
      "supported_by": ["Multiple OccupancySensing.Occupancy = 0 events between T00:00 and T01:00 covering living_room, dining_room, bedrooms, bathrooms, and entrance"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Consecutive LockOperationError events on the front door within 10 minutes suggest an inability to secure or enter the property.",
    "Widespread simultaneous zero-occupancy readings from midnight to 1 AM indicate either a mass evacuation (unlikely for sleep) or a systemic sensor synchronization issue."
  ],
  "what_to_verify_in_raw_log": [
    "Check if any motion sensor triggered *after* the 01:00 timestamp to rule out delayed processing or people returning.",
    "Verify the source ID '3' in the LockOperationError logs against known user/device IDs to determine if it's a local controller or an external attempt.",
    "Review the exact sequence of events around 13:19 to see if a successful unlock preceded the errors or if the door was forced open.",
    "Cross-reference the occupancy logs with lighting/curtain state changes to confirm if rooms


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

All manual unlock events were followed by immediate door contact closure and subsequent auto-locking, consistent with residents departing the home; no evidence of forced entry or tailgating.

Explanation: At 07:13:30, a manual unlock occurred, but the door contact sensor registered 'False' (open) for only 8 seconds before returning to 'True' (closed), immediately followed by an auto-lock. This indicates the resident unlocked, exited briefly (or triggered the sensor while holding the door), and closed it themselves.

Explanation: The evening events at 16:24 and 17:57 show the same pattern: manual unlocks are followed by rapid re-closing of the door (contact state change) and locking, correlating with occupancy sensors showing people inside shortly after (e.g., dining room at 17:56).

Explanation: No log entries indicate prolonged door open states, failed lock attempts, motion sensors triggering in empty rooms, or unauthorized access patterns that would support the intrusion hypotheses.

[2026-06-09T07:13:32] front_door_contact | BooleanState.StateValue = False

[2026-06-09T07:13:39] front_door_contact | BooleanState.StateValue = True

[2026-06-09T07:13:40] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

Continue standard monitoring; no immediate intervention required.

Verify automated schedule settings for auto-lock to ensure they align with user expectations.

[2026-06-09T16:24:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T17:57:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-09T22:24:18] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-09T07:13:30] front_door_lock | DoorLock.LockState = 2

[2026-06-09T07:13:40] front_door_lock | DoorLock.LockState = 1

Check if there were any motion sensor triggers in living_room or entrance between 16:24 and 17:57.

Verify if the 'Auto' source at 07:13:40 and 22:24:18 corresponds to an automated schedule or a triggered event (e.g., motion detected).

Cross-reference with contact_sensor logs on the front_door to see if the door remained open longer than expected during manual unlock events.

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

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

## Layout
Layout: 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": 2297,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 16,
    "dining_room": 9,
    "master_bedroom": 13,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 22
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-09T07:13:30] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-09T07:13:40] 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 attempt detected due to a sequence of manual unlocks followed immediately by auto-locks, suggesting the door might have been opened from the outside while unlocked.",
      "supported_by": ["[2026-06-09T07:13:30] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-09T07:13:40] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Routine morning routine where residents open curtains upon waking and lock/unlock doors for departure.",
      "supported_by": ["[2026-06-09T06:45:12] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-09T07:13:30] front_door_lock | LockOperation...", "[2026-06-09T07:13:40] front_door_lock | LockOperation..."],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Suspicious timing pattern: Manual unlock events occur very close together (13 min apart) in the evening without corresponding occupancy changes or window openings, potentially indicating tailgating or repeated unlocking attempts.",
      "supported_by": ["[2026-06-09T16:24:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-09T17:57:00] front_door_lock | LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-09T22:24:18] front_door_lock | DoorLock.LockState = 1"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Sequence of Manual Unlock -> Auto Lock at 07:13:30/07:13:40",
    "Frequent Manual Unlocks at 16:24 and 17:57",
    "Late night Auto L


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

Automated front door unlocking at night coincided with the door contact sensor reporting an open state and subsequent immediate re-locking, indicating a successful or attempted unauthorized entry.

Explanation: At 22:30:32, the `front_door_contact` sensor reported `True` (open), while occupancy in the master bedroom was detected just prior.

Explanation: Exactly one second later at 22:30:33, the system triggered an `Auto` lock operation (LockOperationType=0) which changed the lock state to unlocked (1).

Explanation: The sequence of 'Door Open' -> 'Auto Unlock' suggests the automation logic interpreted an external presence or trigger as a need to unlock, rather than a user manually opening the door from inside, followed by a rapid manual or automated re-secure.

Explanation: Unlike the morning routine where multiple rooms were occupied simultaneously during active hours, this event occurred at night with a specific focus on the exterior entry point.

[2026-06-12T22:30:32] front_door_contact | BooleanState.StateValue = True

Review video footage from the front door camera between 22:30:00 and 22:31:00.

Check the user account logs to verify if any authorized user had access permissions that could trigger an 'Auto' unlock command remotely.

Test the smart lock's proximity sensors to ensure they are not falsely detecting objects as humans.

[2026-06-12T17:52:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-12T16:21:00] front_door_lock | DoorLock.LockState = 2

[2026-06-12T17:52:00] front_door_lock | DoorLock.LockState = 2

Timestamp of the Auto unlock event vs. proximity data for the front door sensor to verify if someone approached before unlocking.

Status of the 'front_door_contact_sensor' immediately after the unlock at 22:30:33 to see if the door remained open or closed.

Identity of the user account associated with the 'Auto' lock operation at 22:30:33.

Whether the window coverings were opened/closed manually via app or triggered by a smart scene at 20:58:09 and 22:30:22.

## 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": 1320,
  "salient_event_count": 60,
  "focus_event_count": 93,
  "room_activity": {
    "kitchen": 12,
    "kids_room": 16,
    "master_bedroom": 16,
    "entrance": 20,
    "dining_room": 11,
    "living_room": 14,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-12T16:21:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-12T17:52:00] 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": "Simultaneous occupancy detection in multiple private/interior rooms (kids_room, master_bedroom, dining_room, entrance) while the living room is empty, suggesting a coordinated movement pattern inconsistent with typical single-person flow.",
      "supported_by": ["[2026-06-12T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-12T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0", "[2026-06-12T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-12T12:01:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Late-night automated door unlocking followed by immediate manual re-locking and window closure events, potentially indicating an intruder entry attempt or unauthorized access sequence.",
      "supported_by": ["[2026-06-12T22:30:33] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-12T22:30:33] front_door_lock | DoorLock.LockState = 1", "[2026-06-12T20:58:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-12T22:30:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Routine morning routine involving children's room activity and family gathering in common areas during mid-morning hours.",
      "supported_by": ["[2026-06-12T11:55:00] kids_room_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-12T11:56:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-12T12:00:00] living_ro


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 sequence of events represents a standard evening routine where the family entered after locking up externally, settled in for the night with window coverings closed, and finally left to lock the door automatically via a scheduled or app-triggered event.

Explanation: Initial manual lock at 17:55 was immediately followed by door contact opening (StateValue=False) and occupancy sensors triggering inside, confirming the residents entered their own home rather than being locked out or breached.

Explanation: Occupancy logs show sequential movement into living areas and bedrooms between 17:55 and 18:43, consistent with a family settling down for dinner or evening activities.

Explanation: The 'Auto' unlock at 22:10 occurred after occupants had been inactive in the master bedroom for nearly an hour (last seen 20:57), and coincided with the front door contact closing (StateValue=True), indicating a normal departure routine triggered by automation, not unauthorized entry.

[2026-06-02T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1...)

[2026-06-02T17:55:02] front_door_contact | BooleanState.StateValue = False (Door opened immediately after manual lock)

[2026-06-02T22:10:22] front_door_contact | BooleanState.StateValue = True (Door closed before auto-unlock)

Verify that the 'Auto' unlock schedule or smart home trigger is functioning as intended for evening departures.

No immediate security intervention required; system behavior aligns with expected household patterns.

[2026-06-02T22:10:23] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-02T17:55:00] front_door_lock | DoorLock.LockState = 2

[2026-06-02T20:57:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-02T22:10:23] front_door_lock | DoorLock.LockState = 1

Time gap between manual lock (17:55) and auto unlock (22:10) with no intermediate re-lock event.

Occupancy sensor triggered in Entrance (18:00), Living Room (18:01), Dining Room (18:01), Master Bedroom (18:02), Kids Room (18:03) indicating sequential movement consistent with entry, but the initial lock status is ambiguous.

Window covering adjustment on Master Bedroom window at 22:10:17 (4 minutes before door unlock).

Raw state transitions for `front_door_lock` between 17:55 and 22:10 to confirm if it remained 'Locked' or went to 'Unlocked' during that period.

Identity source of the `Auto` unlock operation at 22:10:23 (smartphone app, voice command, schedule, or unknown trigger).

Motion vector data or timestamped camera snapshots (if available) from Entrance and Hallway to verify if the same person who locked the door at 17:55 entered again or if a new entity entered.

Context for `kids_room_window` and `master_bedroom_window` state changes to determine if they were part of a cleaning routine or security check.

## 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": 88,
  "room_activity": {
    "entrance": 16,
    "living_room": 22,
    "kitchen": 10,
    "dining_room": 10,
    "master_bedroom": 14,
    "kids_room": 12,
    "second_bedroom": 2,
    "master_bathroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-02T17:55:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-02T22:10:23] 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": "Potential unauthorized entry or tailgating event: Front door was manually locked at 17:55, then immediately unlocked via Auto mechanism at 22:10, followed by a sequence of occupancy events suggesting multiple people moving through the house.",
      "supported_by": ["[2026-06-02T17:55:00] front_door_lock | LockOperation(LockOperationType=1...)", "[2026-06-02T22:10:23] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-02T22:10:17] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000 (Curtains fully closed/sun shades up? Context dependent but indicates activity)", "[2026-06-02T18:00:03] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-02T18:01:10] dining_room_occupancy | OccupancySensing.Occupancy = 1"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Standard evening routine: Family returns home, enters rooms sequentially, and engages in normal household activities including adjusting window coverings.",
      "supported_by": ["[2026-06-02T17:55:02] front_door_contact | BooleanState.StateValue = False (Door opened)", "[2026-06-02T17:55:03] entrance_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-02T17:57:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 1", "[2026-06-02T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": ["[2026-06-02T22:10:23] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto) - Unlocked door 4.5 hours after being manually locked without prior re-locking event logged."]
    }
  ],
  "most_concerning_signals": [
    "Time gap between manual lock (17:55) and auto unlock


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

触发入侵警报，通知住户，建议报警

Global occupancy sensors are stuck reporting '0' while temperature data confirms active environmental conditions and likely human presence.

Explanation: All monitored rooms report OccupancySensing.Occupancy = 0 at every timestamp from 18:00 to 22:00, creating a statistically impossible pattern of simultaneous total vacancy.

Explanation: Temperature logs show gradual cooling (e.g., Kitchen: 2332 -> 2245), indicating the house is not empty or turned off; if occupants had left, temperatures would stabilize differently or appliances would shut down.

Explanation: The uniformity of the failure across distinct zones (living room, bedrooms, kitchen, bathrooms) at exact intervals suggests a systemic sensor fault or network partition rather than natural human movement patterns.

[2026-06-27T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0 ... [2026-06-27T22:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2332

Check physical connectivity and power supply for all PIR/motion sensors immediately.

Compare against manual verification via door locks or appliance usage logs to confirm residents are actually present.

Reset the smart-home hub or bridge to clear potential network partition states.

[2026-06-27T18:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T18:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

Cross-reference with door lock logs: Was the front door unlocked/opened around this time indicating residents left?

Check appliance logs (dishwasher, washer, AC) to see if they were running, which would contradict an empty house hypothesis.

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Simultaneous total house vacancy: All rooms report occupancy=0 across multiple timestamps, suggesting either a complete house empty state or sensor failure.",
      "supported_by": ["suspicious_signals contains 21 events where every monitored room (living_room, dining_room, bedrooms, bathrooms, entrance) reports OccupancySensing.Occupancy = 0 at 18:00, 18:30, and 19:00"],
      "contradicted_by": ["room_activity data shows significant activity counts in kitchen(9), living_room(17), etc., which usually implies presence; however, this is aggregate event count over 6 hours, not real-time status"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Sensor synchronization failure or network partition causing global false negatives in occupancy detection.",
      "supported_by": ["The pattern of simultaneous zero readings across all distinct zones within the same minute intervals (e.g., all rooms at 18:00:00 exactly) is statistically improbable for natural human movement patterns."],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-27T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T18:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0"
  ],
  "what_to_verify_in_raw_log": [
    "Check raw MQTT/Cloud logs for 'OccupancySensing' topic payload size and structure at 18:00:00 to detect if messages were dropped or sent as default '0'.",
    "Verify power supply and connectivity status logs for all occupancy sensors during the 18:00-19:00 window.",
    "Cross-reference with door lock logs: Was the front door unlocked/opened


No security breach detected; observed lock sequencing and window operations are consistent with automated safety features and normal daily routines.

Explanation: The front door 'Auto' unlock at 07:29:19 immediately following a manual lock is explained by the raw log showing the door contact sensor triggered (StateValue=False) at 07:29:18, causing an automatic unlock cycle before the occupant re-locked manually.

Explanation: The children's room window opening at 20:56 occurred after lights were turned off but before any occupancy was detected in that specific room, consistent with an automated schedule or remote control rather than physical intrusion.

Explanation: Master bedroom window opening at 22:34 coincided exactly with high occupancy in that room and shortly after the front door was opened (contact=True), confirming legitimate resident activity.

Explanation: All overnight occupancy sensors remained at 0 until morning activation, ruling out unattended entry.

[2026-06-01T07:29:18] front_door_contact | BooleanState.StateValue = False

[2026-06-01T07:29:19] entrance_occupancy | OccupancySensing.Occupancy = 1

Verify the logic of the auto-unlock automation rule to ensure it does not conflict with user expectations for manual locking.

Review window automation schedules if frequent unexpected openings occur during occupied hours.

[2026-06-01T16:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-01T17:53:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-01T22:34:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-01T07:29:16] front_door_lock | DoorLock.LockState = 2

[2026-06-01T07:29:19] front_door_lock | DoorLock.LockState = 1

Rapid transition from Manual Lock to Auto-Lock on front door within 3 seconds.

Children's room window state change from closed to open without corresponding occupancy events in that room.

Check raw motion sensor logs for kids_room and master_bedroom between 06:27 and 22:34 to see if anyone entered these areas before windows were opened.

Verify the source of the 'Auto' lock operation at 07:29:19; check if it triggered by a door contact sensor bounce or a scheduled automation.

Cross-reference kitchen and living room appliance usage times with the window opening times to rule out legitimate cleaning activities.

## 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": 2301,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 8,
    "living_room": 17,
    "dining_room": 10,
    "master_bedroom": 13,
    "second_bedroom": 6,
    "kids_room": 11,
    "master_bathroom": 6,
    "entrance": 20
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-01T07:29:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-01T07:29:19] front_door_lock | Event: LockO

## 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 tailgating incident: Front door was manually locked at 07:29, but immediately (3 seconds later) an Auto-lock event occurred, suggesting a system override or sensor trigger inconsistent with the manual action timing.",
      "supported_by": ["[2026-06-01T07:29:16] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-01T07:29:19] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious window manipulation sequence: Children's room window is reported fully closed (0%) early morning, then fully open (10000%) in late afternoon, followed by Master Bedroom window opening shortly after. This pattern suggests potential intrusion via the children's room or ventilation/access attempt.",
      "supported_by": ["[2026-06-01T06:27:09] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-01T20:56:08] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-01T22:34:22] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard daily routine: Occupancy sensors show consistent empty status for all rooms at midnight, indicating no overnight occupancy anomaly.",
      "supported_by": ["Multiple entries showing OccupancySensing.Occupancy = 0 at 00:00:00 across all rooms"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Rapid transition from Manual Lock to Auto-Lock on front door wit


儿童进入危险区域操作危险设备

活动轨迹：儿童房 → 厨房

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

如果灶具有 OffOnly 限制，理论上不能远程开启——这意味着是物理操作

立即通知家长，如可能则远程关闭灶具（OffOnly命令）

The sequence of events represents a normal evening routine where the homeowner opens bedroom windows for ventilation before departing and automatically locking the door upon exit.

Explanation: Occupancy logs confirm the house was occupied with multiple residents until approximately 20:48-22:21, contradicting any theory of an empty house being breached.

Explanation: The window opening at 20:48 and 22:21 coincides with lighting off (kids_room_light) and high occupancy in adjacent areas, consistent with users preparing to leave or ventilating rooms before closing up.

Explanation: The auto-lock at 22:21:24 is immediately preceded by the front_door_contact state changing to 'True' (open), indicating the user physically exited through the front door just prior to the automatic lock engaging.

[2026-06-10T22:21:23] front_door_contact | BooleanState.StateValue = True

[2026-06-10T22:21:24] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-10T20:48:03] kids_room_light | OnOff.OnOff = False

No immediate action required; continue monitoring standard evening patterns.

Review smart-home automation schedules to ensure window opening does not conflict with security sensors if desired.

[2026-06-10T18:08:00] front_door_lock | DoorLock.LockState = 2

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

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

The lack of occupancy events in living_room and second_bedroom after 18:00 while other areas remain active could indicate partial evacuation rather than full exit, or sensor blind spots.

The specific timing correlation between window opening and door locking suggests non-routine behavior.

WindowCovering.CurrentPositionLiftPercent100ths = 10000 on master_bedroom_window immediately preceding Auto-Lock of front_door.

Absence of manual Unlock events for the front door within the monitoring window despite high room activity.

Search for any 'UnlockOperation' events for front_door_lock between 18:08 and 22:21.

Check if the Auto-Lock at 22:21:24 triggered a motion detection event inside the house that might explain the sensor state change.

Verify the command source IP/MAC address for the window covering operations at 20:48 and 22:21 to determine if they were user-initiated or automated schedules.

## 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": 762,
  "salient_event_count": 60,
  "focus_event_count": 86,
  "room_activity": {
    "kitchen": 11,
    "master_bathroom": 9,
    "entrance": 17,
    "kids_room": 11,
    "dining_room": 10,
    "master_bedroom": 10,
    "living_room": 16,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-10T18:08:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-10T22:21:24] 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": "Potential unauthorized entry or internal movement occurring after the home was locked from the outside at 22:21.",
      "supported_by": [
        "[2026-06-10T22:21:24] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)",
        "[2026-06-10T22:21:24] front_door_lock | DoorLock.LockState = 1",
        "[2026-06-10T22:21:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"
      ],
      "contradicted_by": [
        "No explicit 'Unlock' event logged between 18:08 (lock) and 22:21 (re-lock)."
      ]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Suspicious sequence of window coverings being fully opened (100%) shortly before the front door is re-locked automatically.",
      "supported_by": [
        "[2026-06-10T20:48:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-10T22:21:16] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000",
        "[2026-06-10T22:21:24] front_door_lock | LockOperation(LockOperationType=0, OperationSource=Auto)"
      ],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Standard evening routine with multiple rooms occupied followed by departure.",
      "supported_by": [
        "Occupancy sensors active in kitchen, dining, entrance, kids, master bedroom, living room between 17:55-18:05.",
        "Room activity counts show typical distribution for an active household."
      ],
      "contradicted_by": [
        "The lack of occupancy events in living_room and second_bedroom after 18:00 while other areas remain active could indicate partial evacuation rathe


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

System-wide occupancy sensors are stuck reporting '0' despite active temperature readings indicating the presence of a user or environmental changes, likely due to a firmware bug or network broadcast failure rather than actual vacancy.

Explanation: All 9 zones report Occupancy=0 at identical intervals (12:00, 13:00, etc.), which is statistically impossible for natural human movement patterns in a multi-room house.

Explanation: Temperature logs show continuous readings (e.g., 2520 -> 2514 -> 2512) and fluctuations, proving the environment exists and sensors are powered, contradicting a total power loss or offline scenario.

Explanation: The perfect synchronization of the '0' state across disparate sensor types suggests a systemic software issue (e.g., logic engine override or broadcast error) rather than physical sensor failure.

[2026-06-27T12:00:00] kitchen_temp_sensor | TemperatureMeasurement.MeasuredValue = 2520 (User/Heat present)

[2026-06-27T12:00:00] ..._occupancy | OccupancySensing.Occupancy = 0 (Contradictory state)

Immediately verify physical presence via camera feed or direct door contact sensor if available.

Check system logs for 'firmware_update', 'network_reboot', or 'logic_engine_reset' events at 12:00.

Force a manual sensor recalibration or reboot the hub to clear potential memory corruption.

[2026-06-27T12:00:00] master_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T12:00:00] second_bedroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T12:00:00] kids_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T12:00:00] master_bathroom_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T12:00:00] entrance_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T12:30:00] living_room_occupancy | OccupancySensing.Occupancy = 0

[2026-06-27T13:00:00] ..._occupancy | OccupancySensing.Occupancy = 0

Check the raw MQTT/HTTP payload for the specific sensor IDs at 12:00, 12:30, and 13:00 to see if the value was explicitly set to 0 or if the packet was malformed/silent.

Verify the state of 'entrance_contact_sensor' (door locks/open/close events) between 11:59 and 13:01 to rule out total evacuation.

Cross-reference 'living_room_occupancy' with 'living_room_dimmable_light' and 'living_room_air_conditioner' states to see if lights/fans were on while occupancy was reported as 0.

Check system logs for 'sensor_calibration', 'firmware_update', or 'network_reboot' events coinciding with the 12:00 timestamp.

## 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": 748,
  "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": [
    "[2026-06-27T12:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-27T12:00:00] 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 Total House Vacancy (Ghosting): All primary occupancy sensors across every room and zone report 'Empty' at identical time intervals, suggesting either a synchronized sensor failure, a systemic network reset, or an unusual event where the entire household departed simultaneously without triggering any door entry/exit logs or lighting changes.",
      "supported_by": ["suspicious_signals shows all 9 zones reporting Occupancy=0 at 12:00, 12:30, and 13:00", "The uniformity of the zero-occupancy state across disparate rooms is statistically unlikely for natural human movement patterns."],
      "contradicted_by": ["room_activity data shows significant activity counts (e.g., kitchen:9, living_room:17) during this period, implying devices were interacting with users or events occurred despite empty occupancy readings."]
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled System Calibration/Maintenance: The house automation system performed a scheduled daily calibration of all motion sensors, temporarily overriding sensor states to '0' or resetting the logic engine.",
      "supported_by": ["The timestamps are perfectly regular (every 30 mins), which is characteristic of automated polling or calibration cycles rather than random human behavior.", "No other anomalies like temperature spikes or water leaks are present."],
      "contradicted_by": ["Usually, calibration does not result in a persistent '0' state reported as an anomaly-worthy signal; it would typically show device offline or maintenance mode flags. Also, high room_activity suggests ongoing user engagement that shouldn't be ignored by a calibration routine."]
    }
  ],
  "most_concerning_signals": [


伪装开锁（被盗/复制凭证）

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

中等可信度警报，建议住户确认是否本人操作

No anomalies detected; high kitchen activity counts correspond to normal occupancy patterns in the dining room, and lock sequences are consistent with manual user interactions followed by standard auto-locking.

Explanation: The 'kitchen activity' count of 10 is explained by frequent updates from the adjacent 'dining_room_occupancy' sensor (which shows value=1 repeatedly), indicating human presence rather than hidden occupants or window tampering.

Explanation: The door lock sequence shows manual locks at 15:59 and 18:13 immediately followed by contact sensor closures (or concurrent states), confirming the doors were physically opened/closed by residents before being manually secured.

Explanation: The final event at 22:35:29 shows an 'Auto' lock operation immediately after a contact sensor triggered (door closed) and no motion/open events, which is standard behavior for smart locks engaging auto-lock upon closure without forced entry indicators.

Multiple dining_room_occupancy entries with OccupancySensing.Occupancy = 1 correlate with the high kitchen activity count.

Front door contact sensor state changed to False (closed) right after manual lock operations, validating resident access.

Auto-lock occurred only after the front_door_contact confirmed the door was closed, ruling out unexplained locking.

[2026-06-29T18:13:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)

[2026-06-29T22:35:29] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-29T15:59:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T18:13:00] front_door_lock | DoorLock.LockState = 2

[2026-06-29T21:01:05] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-29T22:35:21] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000

[2026-06-29T22:35:29] front_door_lock | DoorLock.LockState = 1

Kitchen occupancy sensor raw readings around 15:59–18:13 to confirm if the 10 activity events correspond to actual human presence.

Full timeline of front_door_lock contact_sensor (open/close) events to correlate with the LockOperation timestamps.

Window coverings and window contact sensors for the kitchen during the period of high activity to rule out external access.

Motion sensor logs for the hallway/entrance near the kitchen to see if movement is being captured elsewhere when the kitchen sensor is silent.

## 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": 1439,
  "salient_event_count": 60,
  "focus_event_count": 89,
  "room_activity": {
    "kitchen": 10,
    "master_bedroom": 13,
    "kids_room": 12,
    "dining_room": 12,
    "entrance": 18,
    "master_bathroom": 11,
    "living_room": 11,
    "second_bedroom": 2
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-29T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-29T18:13:00] front_door_lock | Event: Loc

## 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": "Unusual occupancy pattern suggesting a hidden occupant or non-resident presence, specifically indicated by the kitchen area having activity (10 events) while showing zero recorded occupancy in the salient/focus event list.",
      "supported_by": ["room_activity.kitchen = 10", "absence of 'kitchen_occupancy' entries in suspicious_signals"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Potential unauthorized entry or window tampering: Kitchen windows are open/closed but no motion detected inside the kitchen, despite high activity counts there.",
      "supported_by": ["room_activity.kitchen = 10", "absence of kitchen occupancy sensor triggers in suspicious_signals"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Discrepancy between door lock state and manual locking times; Auto-lock occurred at 22:35 while Manual locks were at 15:59 and 18:13, with no corresponding door opening events listed to explain the sequence.",
      "supported_by": ["[2026-06-29T15:59:00] front_door_lock | Event: LockOperation(LockOperationType=1...)", "[2026-06-29T18:13:00] front_door_lock | Event: LockOperation(LockOperationType=1...)", "[2026-06-29T22:35:29] front_door_lock | Event: LockOperation(LockOperationType=0...)"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "High kitchen activity count (10) without corresponding occupancy sensor events in the log snippet.",
    "Multiple manual lock operations followed by an auto-lock event without explicit unlock/open events in the provided subset."
  ],
  "what_to_verify_in_raw_log": [
    "Kitchen occupancy sensor raw readings aro


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 'Occupancy = 0' readings are consistent with a scheduled reporting interval artifact rather than actual abandonment, as occupancy sensors report snapshots at the end of intervals while temperature logs confirm continuous environmental activity.

Explanation: Raw log shows OccupancySensing events occurring strictly every 30 minutes (e.g., 18:00, 18:30), matching the hypothesis of an end-of-interval snapshot artifact.

Explanation: No contradictory evidence exists in the provided snippet; specifically, there are no door/window contact sensor logs or light state changes to suggest human presence despite the zero flags.

Explanation: Temperature logs show gradual cooling trends over time without sudden jumps indicative of HVAC failure or lack of usage, supporting the conclusion that the house is occupied but the specific occupancy nodes are reporting periodic null states.

Strict 30-minute periodicity of OccupancySensing.Occupancy = 0 entries across all zones.

Absence of contact_sensor (<contact_sensor>) or onoff_light (<onoff_light>) events in the raw log during the window where occupancy was reported as zero.

Verify if occupancy sensors are configured to send real-time updates vs. periodic summaries in the system dashboard.

Monitor for a return to non-zero occupancy values within the next interval (e.g., 22:30) to confirm the pattern persists.

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

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

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

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

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

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

Device status logs for all <occupancy_sensor> nodes to check for firmware reboots, battery low warnings, or manual disable commands around 18:00.

Contact sensor logs (<contact_sensor>) for front door and major room doors/windows to verify physical entry/exit patterns during the 'empty' window.

Light state logs (<onoff_light>, <dimmable_light>) for kitchen and living room to see if lights were turned on by motion or manually, despite occupancy reports being zero.

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 376,
  "salient_event_count": 60,
  "focus_event_count": 78,
  "room_activity": {
    "kitchen": 9,
    "living_room": 17,
    "dining_room": 9,
    "master_bedroom": 9,
    "second_bedroom": 9,
    "kids_room": 9,
    "master_bathroom": 8,
    "entrance": 8
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-07T18:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0",
    "[2026-06-07T18:00:00] dining_room_occupancy | OccupancySensing.Occupancy = 0",
    "[20

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

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

## Stage-1 Analysis
{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Total House Lockout / Abandonment: All residential zones (bedrooms, living areas, bathrooms) registered zero occupancy simultaneously across a sustained period (18:00-19:00+), suggesting the house is entirely empty or sensors are globally disabled.",
      "supported_by": ["suspicious_signals"],
      "contradicted_by": ["room_activity"]
    },
    {
      "id": "H2",
      "type": "anomaly",
      "description": "Simultaneous Activity Paradox: High activity counts in key functional rooms (Kitchen=9, Living_Room=17, Dining=9, Entrance=8) contradict the 'Zero Occupancy' status of those same rooms reported at 18:00 and 19:00.",
      "supported_by": ["room_activity"],
      "contradicted_by": ["suspicious_signals"]
    },
    {
      "id": "H3",
      "type": "normal",
      "description": "Sensor Synchronization Lag or Reporting Interval Artifact: The 'Occupancy = 0' readings occur exactly every 30 minutes (18:00, 18:30, 19:00), which may represent end-of-interval snapshots rather than continuous states, while the activity logs capture discrete events occurring within those intervals.",
      "supported_by": [],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "Simultaneous 'OccupancySensing.Occupancy = 0' across 7 distinct residential zones starting at 18:00.",
    "Discrepancy between high event counts in Kitchen/Living/Dining/Entrance and concurrent zero occupancy flags for those same zones."
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of individual 'event_count' activities to determine if they occurred before 18:00 or after 19:00, explaining the gap.",
    "Device status logs for all <occupancy_sensor> nodes to check for firmware reboots, battery low warnings, or


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

触发入侵警报，通知住户，记录事件

The sequence of events indicates a normal resident opening the front door manually and immediately engaging the auto-lock feature upon re-entry, followed by standard occupancy patterns.

Explanation: At 07:28:19, a manual unlock occurred, immediately followed at 07:28:21 by the contact sensor detecting the door opening (StateValue=False).

Explanation: Occupancy detected at the entrance at 07:28:22 confirms physical presence matching the manual operation.

Explanation: The subsequent event at 07:28:22 is an 'Auto' lock operation with source 'Auto', which correlates perfectly with a user closing the door and triggering the smart-lock's automatic engagement protocol rather than an intrusion attempt.

Explanation: All other timestamps show consistent occupant movement and window operations typical of daily household routines.

[2026-06-22T07:28:21] front_door_contact | BooleanState.StateValue = False

[2026-06-22T07:28:22] entrance_occupancy | OccupancySensing.Occupancy = 1

Continue monitoring for any deviation from established patterns.

Verify that the auto-lock timeout settings align with user expectations if future confusion arises.

[2026-06-22T22:36:32] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)

[2026-06-22T07:28:19] front_door_lock | DoorLock.LockState = 2

[2026-06-22T07:28:22] front_door_lock | DoorLock.LockState = 1

{
  "candidate_hypotheses": [
    {
      "id": "H1",
      "type": "anomaly",
      "description": "Potential unauthorized entry or forced entry attempt at the front door, indicated by a manual unlock followed immediately by an automatic re-locking event.",
      "supported_by": ["[2026-06-22T07:28:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T07:28:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-22T16:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled window opening/closing routine occurring during daylight hours (07:28 to 22:36), with curtains fully closed at night.",
      "supported_by": ["[2026-06-22T06:27:20] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-22T21:00:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-22T22:36:25] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Discrepancy between occupancy sensor readings and expected household activity patterns based on room usage counts (e.g., high entrance activity vs. zero occupancy reported at midnight).",
      "supported_by": ["entrance": 22, "room_activity": {"kitchen": 7, "living_room": 16, "dining_room": 10, "master_bedroom": 10, "second_bedroom": 7, "kids_room": 11, "master_bathroom": 7}, "[2026-06-22T00:00:00] living_room_occupancy | OccupancySensing.Occupancy = 0"],
      "contradicted_by": []
    }
  ],
  "most_concerning_signals": [
    "[2026-06-22T07:28:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:28:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)"
  ],
  "what_to_verify_in_raw_log": [
    "Timestamps of all 'front_door_lock' events to confirm if the auto-lock occurred before or after any potential forced entry attempt.",
    "Sensor readings for 'contact_sensor' at 'entrance' around 07:28 AM to verify if the door was actually opened physically.",
    "Logs for 'occupancy_sensor' at 'entrance' and 'living_room' between 07:28 AM and 07:30 AM to determine if someone entered or exited.",
    "Device firmware version and security patch status for 'front_door_lock' to rule out spoofed lock events."
  ],
  "provisional_risk": "medium"
}

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

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

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

## Evidence Packet
{
  "sq_type": "SQ3",
  "event_count": 2291,
  "salient_event_count": 60,
  "focus_event_count": 91,
  "room_activity": {
    "kitchen": 7,
    "living_room": 16,
    "dining_room": 10,
    "master_bedroom": 10,
    "second_bedroom": 7,
    "kids_room": 11,
    "master_bathroom": 7,
    "entrance": 22,
    "balcony": 1
  },
  "temperature_patterns": [],
  "suspicious_signals": [
    "[2026-06-22T07:28:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)",
    "[2026-06-22T07:28:22] front_door_l

## 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 attempt at the front door, indicated by a manual unlock followed immediately by an automatic re-locking event.",
      "supported_by": ["[2026-06-22T07:28:19] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T07:28:22] front_door_lock | Event: LockOperation(LockOperationType=0, OperationSource=Auto)", "[2026-06-22T16:01:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)", "[2026-06-22T17:41:00] front_door_lock | Event: LockOperation(LockOperationType=1, OperationSource=Manual)"],
      "contradicted_by": []
    },
    {
      "id": "H2",
      "type": "normal",
      "description": "Scheduled window opening/closing routine occurring during daylight hours (07:28 to 22:36), with curtains fully closed at night.",
      "supported_by": ["[2026-06-22T06:27:20] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 0", "[2026-06-22T21:00:03] kids_room_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000", "[2026-06-22T22:36:25] master_bedroom_window | WindowCovering.CurrentPositionLiftPercent100ths = 10000"],
      "contradicted_by": []
    },
    {
      "id": "H3",
      "type": "anomaly",
      "description": "Discrepancy between occupancy sensor readings and expected household activity patterns based on room usage counts (e.g., high entrance activity vs. zero occupancy reported at midnight).",
      "supported_by": ["entrance": 22, "room_activity": {"kitchen": 7, "living_room": 16, "dining_room": 10, "master_bedroom": 10, "second_bedroom": 7, "kids_room": 11, "master_bathroom": 7}, "[2026-06-22T00:00:00] living_room_occupancy | OccupancySensing.Occ