数据驱动的机床等待过程节能方法研究

中国机械工程

数据驱动的机床等待过程节能方法研究

张朝阳1,2;吉卫喜1,2

1.江南大学机械工程学院，无锡，214122
2.江苏省食品先进制造装备技术重点实验室，无锡，214122

出版日期:2020-06-25 发布日期:2020-07-22
基金资助:
国家自然科学基金资助项目（51805213）；
江苏省自然科学基金青年基金资助项目（BK20170190）

Research on Data Driven Energy-conservation Method of Machine Tool Waiting Processes

ZHANG Chaoyang1,2;JI Weixi1,2

1.School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu, 214122
2.Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi, Jiangsu, 214122

Online:2020-06-25 Published:2020-07-22

摘要/Abstract

摘要： 为了降低机床等待过程中的能耗，提出了一种实时数据驱动的机床等待时间预测与节能控制方法。首先，建立了射频识别驱动的生产进度评估方法，并以生产进度数据作为输入，构建了基于堆栈降噪自编码的机床等待时间预测模型；其次，依据预测的机床等待时间，提出了机床状态切换方法，以降低机床能耗；最后，通过一个电梯零部件制造车间的案例分析，表明该方法的预测误差仅为4.1%，同时将机床等待过程能耗降低了57%，实现了制造车间的节能减排。

关键词: 实时数据, 机床等待时间, 节能控制, 堆栈降噪自编码

Abstract: In order to reduce the energy consumption of machine tool waiting processes, a real-time data driven waiting time prediction and energy-conservation control method of machine tool waiting processes was proposed.Firstly, an radio frequency identification (RFID) driven production progress evaluation method was established, and taking production progress as input data, a machine waiting time prediction model was constructed based on stacked denoising auto-encoder.Secondly, according to the predicted waiting time of machine tools, a machine state switching method was proposed to reduce the energy consumption.Finally, analyzing an elevator parts manufacturing workshop, it shows that the prediction errors of the proposed method are only 4.1%, and the energy consumption of machine waiting processes is reduced by 57%, which may realize energy saving and emission reduction in the manufacturing workshops.

Key words: real-time data, machine tool waiting time, energy-conservation control, stacked denoising auto-encoder

中图分类号:

TH166

张朝阳1,2;吉卫喜1,2. 数据驱动的机床等待过程节能方法研究[J]. 中国机械工程.

ZHANG Chaoyang1,2;JI Weixi1,2. Research on Data Driven Energy-conservation Method of Machine Tool Waiting Processes[J]. China Mechanical Engineering.

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