Big Data as a Service for Monitoring Cyber-Physical Production Systems

The introduction of Internet of Services technologies is promoting manufacturing servitization of Cyber Physical Production Systems for the most important Manufacturing 4.0 capabilities, namely self-awareness, self-configuration and self repairing. In addition, industrial data are emerging as a new industrial asset, creating new opportunities for operations improvement, and increase industrial value through the capitalisation of immaterial assets. These recent research trends also raised several challenges and, among them, Big Data acquisition and storage. In this paper, we describe a Data as a Service approach, designed to deal with the Big Data environment. The service is able to manage data volume and velocity during the data collection phase, accumulating and summarizing measures from the machine fleet, and to proper organize them in order to serve advanced Manufacturing 4.0 facilities. Experiments on service performances demonstrate the efficiency of the proposed service.