摘要
我国制造业在经济比重、规模巨大,企业通过数字化技术逐步实现制造企业能耗优化具有现实意义。以汽车制造为例,提出了基于知识库实现能耗优化的方案,包括制造业能耗的特点分析、能耗优化的关键技术及应用实践呈现。从企业生产设备入手,通过企业制造执行系统信息及设备运行状态寻找影响能耗的规律、构建知识库,并通过神经网络、关联分析等机器学习算法,实现能耗优化。
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 digi-tal 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 manufactur-ing 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 sta-tus of the enterprise,and the optimization of energy consumption was realized through machine learning algorithms such as neural network and correlation analysis.
作者
杨伟伟
王思宁
郑贵德
宋亚琼
YANG Weiwei;WANG Sining;ZHENG Guide;SONG Yaqiong(General Data Technology Co.,Ltd.,Tianjin 200384,China;Beijing China-Power Information Technology Co.,Ltd.,Beijing 100192,China;Chinese Society for Electrical Engineering,Beijing 100761,China)
出处
《电信科学》
2022年第8期178-185,共8页
Telecommunications Science
关键词
能耗优化
知识库
节能智慧平台
energy consumption optimization
knowledge-base
energy saving intelligent platform
