Journal
2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (METROIND4.0&IOT)
Volume -, Issue -, Pages 570-575Publisher
IEEE
DOI: 10.1109/metroind4.0iot48571.2020.9138198
Keywords
ESB; Predictive Maintenance; Industry 4.0; Artificial Intelligence; Big Data; Production Monitoring
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The proposed work describes an architecture able to optimize production supporting wheat transformation processes, developed within the framework of an industry research project. The architecture is designed in order to integrate and enable different systems and technologies including big data systems and artificial intelligence algorithms. Preliminary results about detected field data and data flow implementation are discussed. A particular attention is focused on predictive maintenance of production machines by infrared thermography imaging and accelerometer signal processing.
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