Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6923564 | Computers in Industry | 2018 | 9 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ricardo Silva Peres, Andre Dionisio Rocha, Paulo Leitao, Jose Barata,