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Research on manufacturing energy consumption optimization platform technology based on knowledge-base

Authors :
Weiwei YANG
Sining WANG
Guide ZHENG
Yaqiong SONG
Source :
Dianxin kexue, Vol 38, Pp 178-185 (2022)
Publication Year :
2022
Publisher :
Beijing Xintong Media Co., Ltd, 2022.

Abstract

China’s manufacturing industry accounts for the largest proportion of the economy and involves a huge scale.It is of practical significance for enterprises to gradually realize energy consumption optimization through digital technology.Taking automobile manufacturing as an example, a scheme of energy consumption optimization based on knowledge-base was proposed, including the analysis of the characteristics of energy consumption in manufacturing industry, the key technologies of energy consumption optimization and the presentation of application practice.Starting with the production equipment of the enterprise, the law affecting energy consumption was found and a knowledge-base was build through the information of manufacturing execution system and equipment operation status of the enterprise, and the optimization of energy consumption was realized through machine learning algorithms such as neural network and correlation analysis.

Details

Language :
Chinese
ISSN :
10000801
Volume :
38
Database :
Directory of Open Access Journals
Journal :
Dianxin kexue
Publication Type :
Academic Journal
Accession number :
edsdoj.bb083d04fe114559b36afbd69319b270
Document Type :
article
Full Text :
https://doi.org/10.11959/j.issn.1000-0801.2022142