Real-time predictive analytics is one of the core functions of big data in smart factories. In the context of smart factories, real-time predictive analytics primarily focuses on equipment and quality fault prediction. During the production process, through correlation analysis between quality and equipment, the smart factory achieves anomaly detection, identifying and resolving issues at the earliest possible moment.