A study on intelligent industrial equipment repair system

DOI

10.2991/icmse-17.2017.80How to use a DOI?

Keywords

Equipment repair; Monitoring system; knowledge base; repair process; Intelligent maintenance system

Abstract

In order to solve the production of equipment failure, repair is difficult, inconvenient maintenance, positioning and lack of knowledge base of intelligent judgment system, and put forward a method of intelligent industrial equipment repair. The method is by machine system, broadcasting system, lighting equipment and repair initiated monitoring system, according to electronic information, equipment information, voice signals and monitoring information generation repair processes, through the intelligent knowledge base judgment, rapid positioning to solve the problem. To achieve fast and efficient enterprise equipment maintenance, and the formation of an information flow, voice flow, intelligent signal flow integrated repair platform.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yunxiang Liu
AU  - Wenbin Yao
PY  - 2017/04
DA  - 2017/04
TI  - A study on intelligent industrial equipment repair system
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 420
EP  - 424
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.80
DO  - 10.2991/icmse-17.2017.80
ID  - Liu2017/04
ER  -