An automatic monitoring method of slope deformation in open-pit mine based on bp neural network and gis technology

被引:0
|
作者
He Y.-J. [1 ]
Chen T. [2 ]
Han L. [2 ]
机构
[1] Mining Research Institute, Inner Mongolia University of Science and Technology, Baotou
[2] College of Mines, China University of Mining & Technology, Xuzhou
基金
中国国家自然科学基金;
关键词
Automatic monitoring; BP neural network; GIS technology; Key technology; Slope deformation;
D O I
10.46300/9106.2020.14.48
中图分类号
学科分类号
摘要
has achieved good results in many industries and fields, but there are few projects in the application research of mineral resources mining. Under the social background of the rapid development of electronic information technology, BP neural network and GIS technology are combined to carry out research and application, which will provide a new research path for slope deformation monitoring and disaster prevention in mining area. Therefore, in the paper, the key technology of open-pit mine slope deformation automatic monitoring based on BP neural network and GIS technology was put forward. Firstly, the advantages of BP neural network were analyzed and BP neural network was selected as the prediction model of slope deformation. The artificial fish swarm algorithm was used to improve the BP neural network to improve the performance of the model. Based on the analysis and construction of GIS technology, the combination application of BP neural network and GIS technology was discussed. Through practice, the application effect of the technology was verified, and it has good theoretical and practical value. © 2020, North Atlantic University Union. All rights reserved.
引用
收藏
页码:353 / 360
页数:7
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