Data analytics of energy and compressed air flows for process and quality monitoring in electro-pneumatic handling systems

Abstract

Ensuring constant high process and product quality is one of the decisive competitive factors in today’s industrial production. Industry 4.0 by means of the analysis of production data is seen as a viable approach to achieve zero defects production. Due to their sensitive behavior, energy data, which is often acquired independently of the machine control, can provide an adequate data source for quality-related analysis tasks. An analysis based on energy data reduces the effort for accessing machine controls and enables scalability. This paper shows the concept and implementation of a data-driven process and quality monitoring tool based on energy data for an electro-pneumatic handling system.