Research On The Particle Size Characteristics Of Blasting Muckpile Based On UAV Image Processing Technology

The particle size characteristic of blasting heap ore is one of the important indexes to measure the blasting effect.The reasonable distribution of ore particle size can not only reduce the workload of secondary crushing,reduce the mining cost,but also improve the mining efficiency.Explosion often heap of grain size analysis method of screening method,the secondary blasting rock statistics,direct measurement and measurement method,these methods are time consuming,precision co.,LTD.,the efficiency is low,cannot satisfy the project need,therefore,it is necessary to use modern information technology means,through the unmanned aerial vehicle(UAV)rapid acquisition stope blasting heap of image information,the development of rapid precise ore granularity identification algorithm,offer the decision basis for blasting open-pit mine production.On the basis of studying the literature on the particle size distribution of explosive ore at home and abroad and the actual mine processing methods,this paper proposes the ore particle size identification model and algorithm based on the data collection of explosive ore by unmanned aerial vehicle.Secondly,noise reduction and image texture enhancement are carried out with the help of two-dimensional empirical wavelet.Thirdly,the affinity map method is used to identify and segment the exploded heap image,so as to obtain the accurate edge segmentation map of ore particles.Fourthly,the particle size,circumference and area of the labeled ore particles were calculated and analyzed statistically.The results show that the identification model and algorithm based on UAV image processing technology can effectively overcome the deficiency of traditional measurement,and can calculate the overall distribution of explosive particle size economically and effectively,with the accuracy reaching more than 94%.The method of identifying the particle size distribution of blasting ore proposed in this paper provides a new way to quickly and effectively evaluate the blasting effect of blasting ore.