IDARTS - Towards intelligent data analysis and real-time supervision for industry 4.0

被引:110
|
作者
Peres, Ricardo Silva [1 ,2 ]
Rocha, Andre Dionisio [1 ,2 ]
Leitao, Paulo [3 ,4 ]
Barata, Jose [1 ,2 ]
机构
[1] Univ Nova Lisboa, CTS, FCT Campus, P-2829516 Monte De Caparica, Caparica, Portugal
[2] Univ Nova Lisboa, Dept Engn Electrotecn, Fac Ciencias & Tecnol, P-2829516 Monte De Caparica, Caparica, Portugal
[3] Polytech Inst Braganca, Campus Sta Apolonia,Apartado 1134, P-5301857 Braganca, Portugal
[4] LIACC Artificial Intelligence & Comp Sci Lab, R Campo Alegre 102, P-4169007 Porto, Portugal
关键词
Predictive manufacturing systems; Cyber-physical systems; Industry; 4.0; Multi-agent systems; Data analytics; BIG DATA; PREDICTIVE ANALYTICS; FRAMEWORK; DIAGNOSIS;
D O I
10.1016/j.compind.2018.07.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:138 / 146
页数:9
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