Research on intelligent identification system of structural plane based on borehole imaging
The distribution characteristics of fractures in the rock stratum on the roadway roof are an im-portant factor affecting safe mining.At present,the primary method for detecting fractures is the borehole imaging technique which lacks an intelligent system for identifying fractures,and the conven-tional manual observation approach is slow and limited to qualitative analysis of fracture attributes.To solve problems,borehole imaging has been carried out in many mining areas,and a rich database of fracture identification has been formed.The database is divided into training set and test set,and a struc-tural plane recognition network is developed based on convolutional neural network.The pixel categories during network(1)training are divided into background pixels,structural plane pixels and interfering pixels.The pixel categories during network(2)training are divided into background pixels and structural plane pixels.The division method of the fracture area is proposed,and an automatic calculation program for the number of structural planes in the fracture area is devised The traditional Hough transform algo-rithm is optimized to achieve accurate identification of multiple fractures in the fracture area.The post-processing program for intelligent image recognition of structural planes is developed.The research results show that when the interfering pixels divided into one category,the identification of structural planes can be improved effectively.The recognition rate of structural planes by the network during trai-ning was 76.70％,which is improved to 90.20％with the implemented post-processing program.For structural planes,the start and end location errors mainly fall within 5 mm,while the dip direction error is mainly concentrated in the range of 20°,and the dip angle error is mainly concentrated in the range of 10°,and the average error of the fracture width is 5.07 mm.This research promotes the transformation of borehole imaging technology from qualitative manual analysis to intelligent quantitative analysis and provides an important geological guarantee technology for the intelligent development of coal mines.
万方数据
维普
