Data Mining System Architecture for Industrial Internet of Things in Electronics Production

Data collection and Machine Learning (ML) have already become reality in industrial applications. Also in electronics manufacturing, some successful approaches for the application of ML have been reported. However, for industrial applications, the infrastructure and the respective analysis-models for such approaches need to cope with the occurring data flow and structured storage in production. This contribution presents a cross-vendor data mining infrastructure setup that allows realtime tracking and structured storage of process data during operation in order to complement the material tracking of manufacturing execution systems (MES). Hence, the developed data mining system is the essential basis for real-time prediction use cases of ML in manufacturing.