No Pillar Sublevel Caving Of The Ore Rock Mining Face Of Real-time Monitoring

The non-pillar sublevel caving method has the advantages of safe and efficient production,and it is widely used in the underground iron mine at home and abroad.The main factor affecting the efficiency of ore production is the distribution of rock mass,Reasonable distribution is conducive to the transportation and fragmentation of ore bodies,which can improve production efficiency,reduce production costs,affect mine resource recovery and economic benefits.Therefore,it is of great significance to fully understand the evolution law of the block distribution in the process of mining.At the same time,With the rapid development of Internet technology,sensor etc.,data can be collected and transmitted remotely,which provides a possibility for remote real-time monitoring of the fragmentation of blasting piles.On the basis of summarizing the previous research results,the remote real-time monitoring system of ore rock fragmentation distribution is developed based on the sensor technology,wireless network communication technology and computer technology.A software for measuring the distribution of ore and rock mass based on image processing,monitoring is carried out under three unsynchronized distances of Yanqianshan iron mine to realize the detection of the block distribution,the distribution of rock mass in the mining face is studied with the evolution law of the shovel loading.The research results are as follows:1.Using sensor technology,wireless network communication technology,a remote real-time monitoring system for mineral rock mass distribution is developed.It not only realizes the remote real-time monitoring of the ore drawing process,improves the working environment of the inspectors,but also changes from the sampling inspection to the full data detection,which improves the accuracy and reliability of the detection results,it can be better reflect the reality of the field.2.Based on the MATLAB development environment,a block distribution detection algorithm is compiled,which realizes the recognition of image processing and the statistics of the distribution of the image block degree.The R-R distribution function is used to fit the statistical results,and the classification curve is measured and the characteristic parameters of the block distribution are obtained.3.Based on MATLAB GUI,we develop the software for detecting the distribution of ore and rock blocks.It is packaged into an application program by MATLAB compiler,so that it can be installed independently in computers,which improves stability and convenience.4.The remote real-time monitoring system is installed in the Yanqianshan iron mine,the ore and rock images are collected at the working face under the unsynchronized distance.The detection software is used to process and analyze the collected images,and the distribution of the block degree and the grading curve are obtained.Comparing the characteristic parameters of the continuous variable detonating stack image,the change sequence diagram of the characteristic parameters is drawn,by fitting the size of the whole block,the evolution law of the size of the block is obtained with the loading work.In addition,comparing the overall size of the rock rock under the three steps,it is found that the slide distance is 1.6m,and the effect of the mass distribution is the best.The monitoring system has been successfully applied in Yanqianshan iron mine and has high reliability.The research results of the evolution law accurately reflect the Mine practice.The technology fills the gap of monitoring the underground ore fragmentation in China,guides the field production,ensures the safety and efficiency of the ore extraction,and provides a basis for optimizing blasting parameters and structural parameters.