MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment
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 Net...
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2014-10-01
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doaj-e167d5627bd548f899e6683901104de42020-11-24T20:49:03ZengMDPI AGSensors1424-82202014-10-011410198771989610.3390/s141019877s141019877MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining EquipmentXinqing Xiao0Tianyu Zhu1Lin Qi2Liliana Mihaela Moga3Xiaoshuan Zhang4China Agricultural University, Beijing 100083, ChinaChina Agricultural University, Beijing 100083, ChinaBeijing Information S&T University, Beijing 100192, ChinaDunarea de Jos University of Galati, 47 Domneasca St., Galati 800008, RomaniaChina Agricultural University, Beijing 100083, ChinaThis 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.http://www.mdpi.com/1424-8220/14/10/19877equipment monitoringbrine wells miningsensor calibrationreceived signal strength indicatorwireless sensor network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinqing Xiao Tianyu Zhu Lin Qi Liliana Mihaela Moga Xiaoshuan Zhang |
spellingShingle |
Xinqing Xiao Tianyu Zhu Lin Qi Liliana Mihaela Moga Xiaoshuan Zhang MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment Sensors equipment monitoring brine wells mining sensor calibration received signal strength indicator wireless sensor network |
author_facet |
Xinqing Xiao Tianyu Zhu Lin Qi Liliana Mihaela Moga Xiaoshuan Zhang |
author_sort |
Xinqing Xiao |
title |
MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment |
title_short |
MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment |
title_full |
MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment |
title_fullStr |
MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment |
title_full_unstemmed |
MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment |
title_sort |
ms-bwme: a wireless real-time monitoring system for brine well mining equipment |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2014-10-01 |
description |
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. |
topic |
equipment monitoring brine wells mining sensor calibration received signal strength indicator wireless sensor network |
url |
http://www.mdpi.com/1424-8220/14/10/19877 |
work_keys_str_mv |
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