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Sensors 2014, 14(10), 19877-19896; doi:10.3390/s141019877

MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment

1
China Agricultural University, Beijing 100083, China
2
Beijing Information S&T University, Beijing 100192, China
3
Dunarea de Jos University of Galati, 47 Domneasca St., Galati 800008, Romania
*
Author to whom correspondence should be addressed.
Received: 16 August 2014 / Revised: 14 September 2014 / Accepted: 29 September 2014 / Published: 23 October 2014
(This article belongs to the Section Physical Sensors)
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Abstract

This paper describes a wireless real-time monitoring system (MS-BWME) to monitor the running state of pumps equipment in brine well mining and prevent potential failures that may produce unexpected interruptions with severe consequences. MS-BWME consists of two units: the ZigBee Wireless Sensors Network (WSN) unit and the real-time remote monitoring unit. MS-BWME was implemented and tested in sampled brine wells mining in Qinghai Province and four kinds of indicators were selected to evaluate the performance of the MS-BWME, i.e., sensor calibration, the system’s real-time data reception, Received Signal Strength Indicator (RSSI) and sensor node lifetime. The results show that MS-BWME can accurately judge the running state of the pump equipment by acquiring and transmitting the real-time voltage and electric current data of the equipment from the spot and provide real-time decision support aid to help workers overhaul the equipment in a timely manner and resolve failures that might produce unexpected production down-time. The MS-BWME can also be extended to a wide range of equipment monitoring applications. View Full-Text
Keywords: equipment monitoring; brine wells mining; sensor calibration; received signal strength indicator; wireless sensor network equipment monitoring; brine wells mining; sensor calibration; received signal strength indicator; wireless sensor network
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xiao, X.; Zhu, T.; Qi, L.; Moga, L.M.; Zhang, X. MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment. Sensors 2014, 14, 19877-19896.

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