Automated energy monitoring of machine tools

被引：293

作者：

Vijayaraghavan, A. ^{[2
]}

Dornfeld, D. ^{[1
]}

机构：

[1] Univ Calif Berkeley, Lab Mfg & Sustainabil, Berkeley, CA 94720 USA

[2] Syst Insights Inc, Berkeley, CA USA

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2010年 / 59卷 / 01期

关键词：

Energy; Monitoring; Event stream processing;

D O I：

10.1016/j.cirp.2010.03.042

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Reducing the energy consumption of machine tools can significantly improve the environmental performance of manufacturing systems. To achieve this, monitoring of energy consumption patterns in the systems is required. It is vital in these studies to correlate energy usage with the operations being performed in the manufacturing system. However, this can be challenging due to complexity of manufacturing systems and the vast number of data sources. Event stream processing techniques are applied to automate the monitoring and analysis of energy consumption in manufacturing systems. Methods to reduce usage based on the specific patterns discerned are discussed. (C) 2010 CIRP.

引用

页码：21 / 24

页数：4

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