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

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    Authors
    He, Liu
    Cui, Yan
    Duan, Yanqing
    Stankovski, Stevan
    Zhang, Xiaoshuan
    Zhang, Jian
    Affiliation
    China Agricultural University
    University of Bedfordshire
    University of Novi sad
    Beijing Information Science & Technology University
    Issue Date
    2017-03-29
    Subjects
    information systems
    intelligent control
    information processing
    fuzzy logic
    brine mining
    wireless monitoring
    wireless control
    G510 Information Modelling
    
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    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.
    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
    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
    ae974a485f413a2113503eed53cd6c53
    10.1177/0142331217696145
    Scopus Count
    Collections
    Business and management

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