Advisor(s)
Abstract(s)
The manufacturing industry represents a data rich environment, in which larger and larger volumes of data are constantly being generated by its processes. However, only a relatively small portion of it is actually taken advantage of by manufacturers. As such, the proposed Intelligent Data Analysis and Real-Time Supervision (IDARTS) framework presents the guidelines for the implementation of scalable, flexible and pluggable data analysis and real-time supervision systems for manufacturing environments. IDARTS is aligned with the current Industry 4.0 trend, being aimed at allowing manufacturers to translate their data into a business advantage through the integration of a Cyber-Physical System at the edge with cloud computing. It combines distributed data acquisition, machine learning and run-time reasoning to assist in fields such as predictive maintenance and quality control, reducing the impact of disruptive events in production.
Description
Keywords
Cyber-physical systems Data analytics Industry 4.0 Multi- agent systems Predictive manufacturing systems
Pedagogical Context
Citation
Peres, Ricardo Silva; Dionisio Rocha, Andre; Leitao, Paulo; Barata, Jose (2018). IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0. Computers in Industry. ISSN 0166-3615. 101, p. 138-146