rule: "large_meeting"
when:
  - "people_count > 8"
  - or: "iaq_level >= 4"
actions:
  - device: "camera_1"; cmd: "preset:wide_stitch"
  - device: "fresh_air"; cmd: "fan_level:max"
  - notify: "facility_mgmt"; level: "info"

graph TD
    A[PoE++ 90W 单网口供电] --> B(DC-DC 12V/5A 轨)
    B --> C1[边缘盒子 Orin NX 12V/3A]
    B --> C2[传感器汇聚板 12V/1.5A]
    C2 --> D1[深度相机 USB3.0/PoE]
    C2 --> D2[mmWave UART/CSI-2]
    C2 --> D3[气体模组 RS-485总线]
    C2 --> D4[环境传感 I²C总线]
    C2 --> D5[指示灯/蜂鸣器 GPIO]

# 典型边缘节点 Pod 编排片段
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: perception-stack
spec:
  template:
    spec:
      nodeSelector:
        node-role.kubernetes.io/edge: "true"
      containers:
      - name: sensor-hub          # 统一驱动适配层
        image: registry.local/sensor-hub:v2.3.1
        privileged: true          # 访问 /dev/ttyUSB*, /dev/video*, /dev/i2c-*
        volumeMounts:
        - name: dev; mountPath: /dev
        - name: shm; mountPath: /dev/shm  # 零拷贝共享内存
      - name: fusion-engine       # 多模态融合推理
        image: registry.local/fusion-engine:v1.0.4
        resources:
          limits:
            nvidia.com/gpu: 1     # Orin NX 独占 GPU
            memory: "4Gi"
        env:
        - name: TENSORRT_PROFILE; value: "fp16_dynamic"
      - name: scene-controller    # 状态机+设备联动
        image: registry.local/scene-controller:v3.1.0
        configMapRef:
          name: scene-rules-dsl   # 热加载规则文件
      volumes:
      - name: dev; hostPath: {path: /dev}
      - name: shm; emptyDir: {medium: Memory, sizeLimit: 2Gi}

flowchart LR
    A[云端标注平台<br>CVAT/Label Studio] --> B[自动化训练流水线<br>Kubeflow Pipelines]
    B --> C{模型评估通过?}
    C -- Yes --> D[模型注册表<br>MLflow + 模型签名验证]
    C -- No --> A
    D --> E[边缘灰度发布<br>Argo Rollouts 金丝雀 5%→25%→100%]
    E --> F[边缘推理监控<br>Prometheus + Grafana]
    F --> G[难例自动回采<br>不确定性采样/分布漂移检测]
    G --> A

{
  "timestamp": "2025-07-15T09:32:14.123+08:00",
  "event_id": "evt_a1b2c3d4",
  "event_type": "DATA_ACCESS",
  "actor": { "id": "svc_fusion_engine", "role": "inference", "attestation_hash": "sha256:..." },
  "resource": { "type": "face_embedding", "classification": "L2", "meeting_id": "m_789" },
  "action": "READ",
  "result": "SUCCESS",
  "context": { "tee_session_id": "tee_0xdeadbeef", "policy_version": "v4.2" },
  "signature": "MEUCIQD..."  // 边缘节点私钥签名，防篡改
}

# 会议室数字孪生节点模型片段
nodeTemplates:
  MeetingRoom_3A201:
    type: org.example.dt.MeetingRoom
    properties:
      roomId: "3A201"
      capacity: 12
      location: { building: "HQ-A", floor: 3, zone: "R&D" }
    capabilities:
      - perception:
          peopleCount: { type: integer, readable: true, writable: false }
          iaqLevel: { type: integer, enum: [1,2,3,4,5] }
          sceneMode: { type: string, enum: [idle, small, medium, large, emergency] }
      - actuation:
          setSceneMode: { input: { mode: string }, output: { success: boolean } }
          setFreshAir: { input: { level: integer }, output: { success: boolean } }
          setDisplayLayout: { input: { layout: string }, output: { success: boolean } }
    requirements:
      - host: EdgeNode_3F_Gateway
      - connect: BAS_Controller_AHU_03  # 关联楼宇新风机组
      - connect: OA_System_Meeting      # 关联OA预约系统

groups:
- name: meetingroom_perception
  rules:
  - alert: PeopleCountConfidenceLow
    expr: avg_over_time(perception_people_confidence[5m]) < 0.75
    for: 3m
    labels: { severity: warning, team: algo }
    annotations:
      summary: "会议室 {{ $labels.room_id }} 人数统计置信度持续偏低"
      runbook_url: "https://wiki.example.com/runbook/low_confidence"

  - alert: CO2SensorDriftSuspected
    expr: |
      (rate(sensor_co2_raw_jumps_total[1h]) > 0.1)
      and
      (abs(sensor_co2_value - sensor_co2_baseline) > 150)
    for: 10m
    labels: { severity: critical, team: hw }
    annotations:
      summary: "疑似CO₂传感器漂移或污染，建议校准/更换"

# 关联某次会议全链路日志
{namespace="edge", room_id="3A201"} |= "meeting_id=m_789"
| json
| level IN ("WARN", "ERROR")
| fmt "融合引擎异常: {fusion_engine} | 场景切换: {scene_controller}"