Production Optimization Monitoring System Implementing Artificial Intelligence and Big Data

被引：0
|
作者：
Massaro, Alessandro [1 ]
Selicato, Sergio [1 ]
Miraglia, Roberto [1 ]
Panarese, Antonio [1 ]
Calicchio, Angelo [1 ]
Galiano, Angelo [1 ]
机构：
[1] Dyrecta Lab Srl, MIUR Res Inst, Conversano, BA, Italy
来源：
2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT (METROIND4.0&IOT) | 2020年
关键词：
ESB; Predictive Maintenance; Industry; 4.0; Artificial Intelligence; Big Data; Production Monitoring;
D O I：
10.1109/metroind4.0iot48571.2020.9138198
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：570 / 575
页数：6
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