Research on an Online Monitoring System for Efficient and Accurate Monitoring of Mine Water

Lei Bo; Yang Liu; Zihang Zhang; Dongxu Zhu; Yiying Wang

doi:10.1109/ACCESS.2022.3151244

IEEE Access (Jan 2022)

Research on an Online Monitoring System for Efficient and Accurate Monitoring of Mine Water

Lei Bo,
Yang Liu,
Zihang Zhang,
Dongxu Zhu,
Yiying Wang

Affiliations

Lei Bo: ORCiD; School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing, China
Yang Liu: ORCiD; School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing, China
Zihang Zhang: ORCiD; School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing, China
Dongxu Zhu: ORCiD; School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing, China
Yiying Wang: ORCiD; School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan, China

DOI: https://doi.org/10.1109/ACCESS.2022.3151244
Journal volume & issue: Vol. 10
pp. 18743 – 18756

Abstract

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Our goal is to solve the complexity of laying down wiring for traditional monitoring systems for mine water, while taking into account the poor timeliness of sampling and continuous monitoring, based on the processing and reuse of mine water. In this article, we focus on the theory of multi-sensor networks to estimate mine water quality, quantity monitoring equipment, and mine water Internet of Things (hereafter denoted “IoT”) communication systems. We designed a mine water IoT monitoring system for the wireless monitoring of water quantity and quality, developed an experimental platform for the wireless monitoring of mine water. This platform has the advantages of simple wiring and strong expandability. Finally, we tested and analyzed the system operation effects. To solve the problem of partial data abnormalities caused by problems of sensing equipment, we propose a data abnormality detection method based on an isolated forest that combines the characteristics of the sufficient timeliness of mine water monitoring data, and we offer experimental verification and analysis. The experimental results show that the system can realize the real-time wireless monitoring of mine water quality and quantity information with stable and fast data transmission capability. Furthermore, the system can quickly discover, analyze, and process abnormal data, has sufficient timeliness while guaranteeing the validity of the data output from the monitoring platform.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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