Skip to search boxSkip to navigationSkip to main content

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

  • Liu He
    ,
  • Yan Cui
    ,
  • Yanqing Duan
    ,
  • Stevan Stankovski
    ,
  • Xiaoshuan Zhang
    ,
  • Jian Zhang
Research Output:
Contribution to journal
Article
 Peer-review

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.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2062-2081

Journal (Volume, Issue Number)

Transactions of the Institute of Measurement and Control (Volume 40, Issue 6)

Publication milestones

  • Published - 29/03/2017

Publication status

Published - 29/03/2017

ISSN

0142-3312

Publication IDs

  • handle.net: 10547/622809
  • Scopus: 85044714543

Access to documents

Publication metrics