public class SafetyHelmetCheck : MonoBehaviour {
    void OnTriggerEnter(Collider other) {
        if(other.CompareTag("Head")) {
            if(!SafetyManager.Instance.IsHelmetWorn) {
                VRSceneController.ShowWarning("请正确佩戴安全帽！");
                VibrationManager.TriggerHapticFeedback();
            }
        }
    }}

import cv2import mediapipe as mp
mp_hands = mp.solutions.hands.Hands()while cap.isOpened():
    success, image = cap.read()
    results = mp_hands.process(image)
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            # 计算手势特征
            thumb_tip = hand_landmarks.landmark[mp.solutions.hands.HandLandmark.THUMB_TIP]
            index_tip = hand_landmarks.landmark[mp.solutions.hands.HandLandmark.INDEX_FINGER_TIP]
            if distance(thumb_tip, index_tip) < 0.05:
                send_command("SELECT_OBJECT")

// 主控端const ws = new WebSocket('ws://server:8080');function syncDisplays(content) {
    const message = {
        type: 'SYNC',
        content: content,
        timestamp: Date.now()
    };
    ws.send(JSON.stringify(message));}// 受控端ws.onmessage = (event) => {
    const msg = JSON.parse(event.data);
    if(msg.type === 'SYNC') {
        renderContent(msg.content);
    }};

@RestController@RequestMapping("/api/devices")public class DeviceController {
    
    @Autowired
    private ModbusService modbusService;
    @GetMapping("/{id}/status")
    public ResponseEntity<DeviceStatus> getStatus(@PathVariable String id) {
        Device device = deviceRepository.findById(id);
        ModbusResponse response = modbusService.readHoldingRegisters(
            device.getIp(), 
            device.getRegisterAddress(),
            2
        );
        return ResponseEntity.ok(parseStatus(response));
    }}

from kafka import KafkaProducer
producer = KafkaProducer(bootstrap_servers='kafka:9092')sensor = SafetySensor()while True:
    data = sensor.read_data()
    producer.send('safety-data', 
        key=data['device_id'].encode(),
        value=json.dumps(data).encode()
    )
    time.sleep(0.5)