{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:29:40Z","timestamp":1760243380025,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2014,10,23]],"date-time":"2014-10-23T00:00:00Z","timestamp":1414022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Key Technology R&amp;D Program of China","award":["No.2012BAH10F02, No.2012BAH10F01"],"award-info":[{"award-number":["No.2012BAH10F02, No.2012BAH10F01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.3390\/s141019877","type":"journal-article","created":{"date-parts":[[2014,10,23]],"date-time":"2014-10-23T12:28:28Z","timestamp":1414067308000},"page":"19877-19896","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["MS-BWME: A Wireless Real-Time Monitoring System for Brine Well Mining Equipment"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9512-4000","authenticated-orcid":false,"given":"Xinqing","family":"Xiao","sequence":"first","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"}]},{"given":"Tianyu","family":"Zhu","sequence":"additional","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"}]},{"given":"Lin","family":"Qi","sequence":"additional","affiliation":[{"name":"Beijing Information S&T University, Beijing 100192, China"}]},{"given":"Liliana","family":"Moga","sequence":"additional","affiliation":[{"name":"Dunarea de Jos University of Galati, 47 Domneasca St., Galati 800008, Romania"}]},{"given":"Xiaoshuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Agricultural University, Beijing 100083, China"}]}],"member":"1968","published-online":{"date-parts":[[2014,10,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1111\/j.1755-6724.2008.tb00665.x","article-title":"Numerical Modelling of Dissolving and Driving Exploitation of Potash Salt in the Qarhan Playa\u2014A Coupled Model of Reactive Solute Transport and Chemical Equilibrium in a Multi-Component Underground Brine System","volume":"82","author":"Li","year":"2008","journal-title":"Acta Geol. 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