A framework for energy monitoring of machining workshops based on IoT

被引:11
作者
Chen, Xingzheng [1 ]
Li, Congbo [1 ]
Tang, Ying [2 ]
Li, Li [3 ]
Xiao, Qinge [1 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing, Peoples R China
[2] Rowan Univ, Dept Elect & Comp Engn, Glassboro, NJ USA
[3] Southwest Univ, Coll Engn & Technol, Chongqing, Peoples R China
来源
51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS | 2018年 / 72卷
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Energy efficiency; Monitoring; Internet of Things; CUTTING PARAMETERS; EFFICIENCY; OPTIMIZATION; CONSUMPTION; MANAGEMENT; SELECTION; ADOPTION; TAGUCHI; SYSTEM;
D O I
10.1016/j.procir.2018.03.085
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Machining workshop is a widely distributed manufacturing system that consumes massive energy in low efficiency. Due to the complicated and dynamic energy flow of the machining workshop, machinery manufacturers still lack an effective method to monitor and manage the energy efficiency. Hence, this paper proposes an energy efficiency monitoring system for machining workshop with the support of the newly emerging Internet of Things (IoT) technology. With the application of the proposed system, potential opportunities for energy efficiency improvement can be identified. Machinery manufacturers can easily reduce energy consumption and energy cost by managing the machining process. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 51st CIRP Conference on Manufacturing Systems.
引用
收藏
页码:1386 / 1391
页数:6
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