Title: Intelligent cloud based monitoring system of electricity demand of fused magnesium furnace process

Authors: Jie Yang; Shaowen Lu; Liangyong Wang; Quan Xu

Addresses: State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China ' State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China ' State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China ' State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

Abstract: We introduce a monitoring system of electricity demand of fused magnesium furnace (FMF) process. Fused magnesia is commonly used in producing fire-resistant materials. The manufacturing process of fused magnesia with electric arc melting furnace is highly energy intensive. The main purpose of monitoring the electricity power demand is to avoid the demand spikes which may break the limit imposed by local grid operators. We present a data-driven approach to forecast the event of demand threshold breakout. The monitoring system proposed in this paper employs cloud computing technology to support remote and mobile monitoring. Also, a three dimensional visual simulation of the manufacturing scene is provided as an auxiliary monitoring function.

Keywords: cloud computing; 3D scene simulation; demand monitoring; fused magnesium furnaces; FMFs.

DOI: 10.1504/IJSPM.2017.087600

International Journal of Simulation and Process Modelling, 2017 Vol.12 No.5, pp.389 - 400

Received: 16 Dec 2016
Accepted: 15 May 2017
Published online: 22 Oct 2017 *

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