Real-time predictive analytics is one of the core functions of big data in a Smart Factory, primarily focusing on equipment and quality fault prediction. During the production process, by conducting correlation analysis between quality and equipment, the smart factory achieves anomaly detection, identifying issues at the earliest and resolving them in real-time.

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