Use of Edge Computing for Predictive Maintenance of Industrial Electric Motors

被引：5

作者：

De Leon, Victor ^{[1
]}

Alcazar, Yira ^{[1
]}

Luis Villa, Jose ^{[1
]}

机构：

[1] Univ Tecnol Bolivar, Cartagena De Indias, Colombia

来源：

APPLIED COMPUTER SCIENCES IN ENGINEERING (WEA 2019) | 2019年 / 1052卷

关键词：

Edge Computing; Industrial Internet of Things; Predictive maintenance; FRAMEWORK; INTERNET;

D O I：

10.1007/978-3-030-31019-6_44

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Industrial Internet of Things has become a reality in many kind of industries. In this paper, We explore the case of high quantity of raw data generated by a machine. In the aforementioned case is not viable store and process the data in a traditional Internet of Things architecture. For this case, We use an architecture based on edge computing and Industrial Internet of Things concepts and apply them to a case of machine monitoring for predictive maintenance. The proof of concept shows the potential benefits in real industrial applications.

引用

页码：523 / 533

页数：11

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