CPS/DATA SCIENCE APPROACH FOR SMART FACTORY AND BUILDING AUTOMATION

Abstract

Generic hardware/software system architecture for professional Internet of Things applications has been
designed and implemented. The system architecture is based on a multi-agent system approach and uses event-based
data stream management technologies for data fusion. The described approach has been validated in two real-world
settings: A cyber-physical production systems (CPPS) and a smart building closed-loop control system with simulation
support (CyPhREE). Acquired event-based data is integrated and used to control and optimise system processes using
data science approaches. Finally, technologies and concepts from data science, big data analysis and data mining of
the gathered data are described and their integration is proposed.