能源消耗
计算机科学
消费(社会学)
软件
制造工程
能量(信号处理)
离散制造
离散优化
工业工程
最优化问题
生产(经济)
工程类
算法
电气工程
宏观经济学
社会学
经济
统计
程序设计语言
社会科学
数学
作者
Ming Yao,Zhufeng Shao,Yanling Zhao
标识
DOI:10.1007/978-3-030-89134-3_5
摘要
With China’s commitments on “carbon peak” and “carbon neutral”, energy consumption optimization for discrete manufacturing has become an important hot issue. By reviewing and analyzing related researches on energy consumption of typical discrete manufacturing equipment such as machine tools and industrial robots, this paper summarizes energy consumption optimization methods for the discrete manufacturing, especially focusing on the promising intelligent optimization technology. The intelligent optimization for multi parameters in complex and variable working conditions is the trends of the energy consumption, which requires the combination of software and hardware.
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