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An investigation into the method of energy monitoring and reduction for machining systems
Journal of Manufacturing Systems ( IF 12.2 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.jmsy.2020.10.012
Luoke Hu , Hao Zheng , Lianjie Shu , Shun Jia , Wei Cai , Kangkang Xu

Abstract Improving the energy efficiency of machining systems (MSs) is an urgent and challenging issue in sustainable manufacturing. Considering the dynamics and uncertainty of MSs, a five-dimension model is developed to monitor and reduce the energy consumption (EC) of MSs. In this model, the automatic acquisition of EC data from physical MSs is driven by Radio Frequency IDentification (RFID) read events. The EC service model provides monitoring and scheduling services for reducing the EC of physical MSs by connecting with virtual MSs in real time. The procedures of the EC reduction method for the MSs are presented. A case study of MSs for auto parts was conducted to illustrate the proposed method. The results showed that the time and EC of MSs were reduced by 148 s and 49.67 KJ, respectively.

中文翻译:

机械加工系统能耗监测与降低方法研究

摘要 提高加工系统(MS)的能源效率是可持续制造中一个紧迫且具有挑战性的问题。考虑到 MS 的动态性和不确定性,开发了一个五维模型来监控和降低 MS 的能耗 (EC)。在该模型中,从物理 MS 自动获取 EC 数据是由射频识别 (RFID) 读取事件驱动的。EC服务模型提供监控和调度服务,通过实时连接虚拟MS来降低物理MS的EC。介绍了用于 MS 的 EC 减少方法的程序。对汽车零部件的 MS 进行了案例研究,以说明所提出的方法。结果表明,MSs 的时间和 EC 分别减少了 148 s 和 49.67 KJ。
更新日期:2020-10-01
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