Title: Research on preventive maintenance strategy of multi-equipment system based on the internet of things

Authors: Guochen Zhang; Hui Shi; Zhaobo Chen; Xiaobo Li

Addresses: Division of Complex System and Computational Intelligence, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China ' College of Electrical and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China ' College of Economy and Management, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China ' Division of Complex System and Computational Intelligence, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China

Abstract: Maintenance activities of equipment are closely related to the condition of equipment and the production demand in the production system consisting of multi-equipment. The operational status of equipment determines the preventive maintenance scheme. To satisfy the maximum production demand, this research combines the Internet of Things (IoT) technology to monitor the operational status of multi-equipment in real time. Based on this, we put forward the strategies for the Preventive Maintenance (PM) by proposing the thresholds such as optimum PM interval, the minimum PM interval and maximum postponement period of PM. In the research a production demand-based PM scheduling model is proposed. Then, a genetic algorithm-based simulation optimisation was used to conduct the case solution. Results show that the strategies proposed are able to effectively coordinate the PM activities of multi-equipment, which is under the real-time condition monitoring, in the case of limits of production demand.

Keywords: internet of things; independent multi-equipment system; data sharing; preventive maintenance; condition monitoring.

DOI: 10.1504/IJWMC.2020.105716

International Journal of Wireless and Mobile Computing, 2020 Vol.18 No.2, pp.204 - 214

Received: 12 Mar 2019
Accepted: 21 Oct 2019
Published online: 09 Mar 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article