Founded in 1987, Bimonthly
Supervisor:Jiangxi University Of Science And Technology
Sponsored by:Jiangxi University Of Science And Technology
Jiangxi Nonferrous Metals Society
ISSN:1674-9669
CN:36-1311/TF
CODEN YJKYA9
WANG Dan, RAO Yunzhang, SHI Liang, ZHANG Meidao, ZHANG Jiyong. Comprehensive early warning of ionic rare earth in-situ leaching landslide based on entropy weight theory[J]. Nonferrous Metals Science and Engineering, 2021, 12(3): 122-128. DOI: 10.13264/j.cnki.ysjskx.2021.03.016
Citation: WANG Dan, RAO Yunzhang, SHI Liang, ZHANG Meidao, ZHANG Jiyong. Comprehensive early warning of ionic rare earth in-situ leaching landslide based on entropy weight theory[J]. Nonferrous Metals Science and Engineering, 2021, 12(3): 122-128. DOI: 10.13264/j.cnki.ysjskx.2021.03.016

Comprehensive early warning of ionic rare earth in-situ leaching landslide based on entropy weight theory

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  • Received Date: January 24, 2021
  • Published Date: June 29, 2021
  • In this paper, an early warning system of slope landslide for ion-type rare earth mine was established by selecting key factors causing slope landslide. Such system was set up in the target mine to collect monitoring data. The time and scale of the cracks in the site were also analyzed. When both data were combined, the threshold value of warning for single factor was obtained. Entropy weight theory was used to determine the weight of each influencing factor, and the multi-index comprehensive scoring value of Xikeng rare earth mine in Anyuan was calculated to obtain the comprehensive warning grade of rare earth mine slope landslide. At the same time, the single parameter warning was corrected to improve its accuracy as a result of false alarms caused by abnormal fluctuation of sensor data. It could be integrated into the early warning software algorithm to make the warning system intelligent. This is of great significance to mine safety production.
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