Development and evaluation of a brine mining equipment monitoring and control system using wireless sensor network and fuzzy logic

2.50
Hdl Handle:
http://hdl.handle.net/10547/622809
Title:
Development and evaluation of a brine mining equipment monitoring and control system using wireless sensor network and fuzzy logic
Authors:
He, Liu; Cui, Yan; Duan, Yanqing ( 0000-0003-4205-7403 ) ; Stankovski, Stevan ( 0000-0002-4311-1507 ) ; Zhang, Xiaoshuan; Zhang, Jian
Abstract:
The brine mining equipment failure can seriously affect the productivity of the salt lake chemical industry. Traditional monitoring and controlling method mainly depends on manned patrol that is offline and ineffective. With the rapid advancement of information and communication technologies, it is possible to develop more efficient online systems that can automatically monitor and control the mining equipment and to prevent equipment damage from mechanical failure and unexpected interruptions with severe consequences. This paper describes a Wireless Monitoring and feedback fuzzy logic-based Control System (WMCS) for monitoring and controlling the brine well mining equipment. Based on the field investigations and requirement analysis, the WMCS is designed as a Wireless Sensors Network module, a feedback fuzzy logic controller, and a remote communication module together with database platform. The system was deployed in existing brine wells at demonstration area without any physical modification. The system test and evaluation results show that WMCS enables to track equipment performance and collect real-time data from the spot, provides decision support to help workers overhaul the equipment and follows the deployment of fuzzy control in conjunction with remote data logging. It proved that WMCS acts as a tool to improve management efficiency for mining equipment and underground brine resources.
Affiliation:
China Agricultural University; University of Bedfordshire; University of Novi sad; Beijing Information Science & Technology University
Citation:
Liu H, Cui Y, Duan Y, Stankovski S, Zhang X, Zhang J (2017) 'Development and evaluation of a brine mining equipment monitoring and control system using wireless sensor network and fuzzy logic', Transactions of the Institute of Measurement and Control, 40 (6), pp.2062-2081.
Publisher:
SAGE
Journal:
Transactions of the Institute of Measurement and Control
Issue Date:
29-Mar-2017
URI:
http://hdl.handle.net/10547/622809
DOI:
10.1177/0142331217696145
Additional Links:
http://journals.sagepub.com/doi/10.1177/0142331217696145
Type:
Article
Language:
en
ISSN:
0142-3312
Appears in Collections:
Business and management

Full metadata record

DC FieldValue Language
dc.contributor.authorHe, Liuen
dc.contributor.authorCui, Yanen
dc.contributor.authorDuan, Yanqingen
dc.contributor.authorStankovski, Stevanen
dc.contributor.authorZhang, Xiaoshuanen
dc.contributor.authorZhang, Jianen
dc.date.accessioned2018-08-07T10:34:19Z-
dc.date.available2018-08-07T10:34:19Z-
dc.date.issued2017-03-29-
dc.identifier.citationLiu H, Cui Y, Duan Y, Stankovski S, Zhang X, Zhang J (2017) 'Development and evaluation of a brine mining equipment monitoring and control system using wireless sensor network and fuzzy logic', Transactions of the Institute of Measurement and Control, 40 (6), pp.2062-2081.en
dc.identifier.issn0142-3312-
dc.identifier.doi10.1177/0142331217696145-
dc.identifier.urihttp://hdl.handle.net/10547/622809-
dc.description.abstractThe brine mining equipment failure can seriously affect the productivity of the salt lake chemical industry. Traditional monitoring and controlling method mainly depends on manned patrol that is offline and ineffective. With the rapid advancement of information and communication technologies, it is possible to develop more efficient online systems that can automatically monitor and control the mining equipment and to prevent equipment damage from mechanical failure and unexpected interruptions with severe consequences. This paper describes a Wireless Monitoring and feedback fuzzy logic-based Control System (WMCS) for monitoring and controlling the brine well mining equipment. Based on the field investigations and requirement analysis, the WMCS is designed as a Wireless Sensors Network module, a feedback fuzzy logic controller, and a remote communication module together with database platform. The system was deployed in existing brine wells at demonstration area without any physical modification. The system test and evaluation results show that WMCS enables to track equipment performance and collect real-time data from the spot, provides decision support to help workers overhaul the equipment and follows the deployment of fuzzy control in conjunction with remote data logging. It proved that WMCS acts as a tool to improve management efficiency for mining equipment and underground brine resources.en
dc.language.isoenen
dc.publisherSAGEen
dc.relation.urlhttp://journals.sagepub.com/doi/10.1177/0142331217696145en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.subjectinformation systemsen
dc.subjectintelligent controlen
dc.subjectinformation processingen
dc.subjectfuzzy logicen
dc.subjectbrine miningen
dc.subjectwireless monitoringen
dc.subjectwireless controlen
dc.subjectG510 Information Modellingen
dc.titleDevelopment and evaluation of a brine mining equipment monitoring and control system using wireless sensor network and fuzzy logicen
dc.typeArticleen
dc.contributor.departmentChina Agricultural Universityen
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentUniversity of Novi saden
dc.contributor.departmentBeijing Information Science & Technology Universityen
dc.identifier.journalTransactions of the Institute of Measurement and Controlen
dc.date.updated2018-08-07T09:23:31Z-
dc.description.notePast 3 months after publication so not chasing for full text.-
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