A framework for energy monitoring of machining workshops based on IoT

Xingzheng Chen, Congbo Li, Ying Tang, Li Li, Qinge Xiao

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1386-1391
Number of pages6
JournalProcedia CIRP
Volume72
DOIs
StatePublished - 2018
Event51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden
Duration: May 16 2018May 18 2018

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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