Research on open-pit mine road quality based on data mining
This article explores the evaluation method of road quality in open-pit mines,through deep mining of mine truck operation data in transportation links of open-pit mines,designs road extraction algorithms,analyzes the vertical acceleration and elevation data,and investigating the two evaluation metrics:the standard deviation of the altitude H and the root-mean-square of the vertical acceleration RMSVA,respectively.We verify the consistency and validity of the two.The evaluation results are categorized into three levels:good,fair and poor,and the road problems corresponding to the different levels are pointed out and suggestions for repair are given.The results show that the two indexes are effective in evaluating the quality of open-pit mine roads in the range of slope-4%to 4%,which helps to improve the efficiency and quality of mine road maintenance.
国家科技期刊平台
NSTL
万方数据
维普
