Open Access

ARTICLE

Internet of Things Enabled Intelligent Energy Management and Control System for Heavy Equipment Industrial Park and Fuzzy Assessment of Its Schemes

Jia Zhu^*

College of Computer Science, Baicheng Normal University, Baicheng, 137000, China

* Corresponding Author: Jia Zhu. Email:

Energy Engineering 2021, 118(2), 379-397. https://doi.org/10.32604/EE.2021.014178

Received 07 September 2020; Accepted 12 October 2020; Issue published 23 December 2020

Abstract

In order to solve the problems of poor information flow, low energy utilization rate and energy consumption data reuse in the heavy equipment industrial park, the Internet of Things (IoT) technology is applied to construct the intelligent energy management and control system (IEMCS). The application architecture and function module planning are analyzed and designed. Furthermore, the IEMCS scheme is not unique due to the fuzziness of customer demand and the understanding deviation of designer to customer demand in the design stage. Scheme assessment is of great significance for the normal subsequent implementation of the system. A fuzzy assessment method for IEMCS scheme alternatives is proposed to achieve scheme selection. Fuzzy group decision using triangular fuzzy number to express the vague assessment of experts is adopted to determine the index value. TOPSIS is modified by replacing Euclidean distance with contact vector distance in IEMCS scheme alternative assessment. An experiment with eight IEMCS scheme alternatives in a heavy equipment industrial park is given for the validation. The experiment result shows that eight IEMCS scheme alternatives can be assessed. Through the comparisons with other methods, the reliability of the results obtained by the proposed method is discussed.

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Citations