制造业AI：开启工业4.0新纪元

设备健康管理平台

class PredictiveMaintenanceAI:
    """预测性维护AI系统"""
    
    def analyze_equipment_health(self, sensor_data):
        """分析设备健康状态"""
        
        # 1. 多维度数据融合
        features = {
            'vibration': sensor_data['vibration_patterns'],
            'temperature': sensor_data['temp_history'],
            'pressure': sensor_data['pressure_readings'],
            'acoustic': sensor_data['sound_spectrum'],
            'current': sensor_data['power_consumption']
        }
        
        # 2. 异常检测
        anomalies = self.detect_anomalies(features)
        
        # 3. 故障预测
        failure_prediction = self.llm.predict(f"""
        基于以下设备数据预测故障：
        振动模式：{features['vibration']}
        温度趋势：{features['temperature']}
        异常指标：{anomalies}
        
        分析：
        1. 故障类型及概率
        2. 预计故障时间
        3. 影响范围
        4. 维护建议
        """)
        
        # 4. 维护计划优化
        maintenance_plan = self.optimize_maintenance(
            failure_prediction,
            production_schedule,
            spare_parts_inventory
        )
        
        return {
            'health_score': self.calculate_health_score(features),
            'predictions': failure_prediction,
            'maintenance_plan': maintenance_plan,
            'cost_saving': self.estimate_cost_saving()
        }