Study Onintelligent Design Method And System Of Tunnel Drilling And Blasting Scheme

With the continuous improvement of China’s national living standards,the whole society has higher and higher requirements for traffic and transportation conditions,and the construction of infrastructure is gradually accelerated,making the number of tunnel projects increasing.The drilling and blasting method has the advantages of simple construction,strong adaptability and low excavation cost.With the continuous improvement of drilling and blasting technology,the drilling and blasting method is still the main method for tunnel excavation.At present,the design of tunnel drilling and blasting excavation and blasting scheme mostly has some shortcomings,such as relying on engineering experience,manual work,extensive type,low efficiency and not intuitive enough.The rapid development of computer technology and artificial intelligence promotes the intelligent development of tunnel blasting design.Based on the theory of tunnel blasting design,this paper uses computer programming technology,Internet+and 3D visualization technology to carry out the research on intelligent design method and system of tunnel drilling and blasting excavation and blasting scheme.The main work and research results of this paper are as follows:(1)Determine the calculation method of tunneling parameters and hole parameters of tunnel drilling and blasting,and put forward the intelligent design method of tunnel blasting scheme.The tunneling parameters mainly include single-cycle footage,bore diameter,charge diameter,charge structure,initiation method and blasting safety distance,while the bore parameters mainly include related parameters of cut hole,peripheral hole and auxiliary hole.The drawing algorithm of tunnel profile and the intelligent layout method of hole are studied.To draw the profile of a tunnel section,the first step is to determine the line type of the tunnel contour section,and then to determine the coordinates of the starting point,the ending point and the center of the circle according to the corresponding algorithms of different lines.In the blasting scheme,the intelligent layout of holes can be determined by determining the number of holes of each type,the distance from the center line,row spacing,initial position,hole spacing and other parameters,and combining with computer programming technology to realize parameterized intelligent layout.Finally,the location of holes can be accurately determined and drawn in the profile diagram of the section.(2)The three-dimensional effect display algorithm of the hole Angle,the rock breaking volume algorithm of the blasting burden of the hole and the calculation method of the charge amount are put forward.According to the layout characteristics of the cut hole and the surrounding hole,the display algorithm of the gun hole Angle is determined respectively.The three-dimensional effect display of the Angle of the gun hole is to determine the coordinates of the orifice and the bottom of the gun hole according to the Angle and length of the gun hole combined with the relevant algorithms,and the frontend programming language JavaScript and three.js encapsulated from WebGL is used to achieve.Based on the three-dimensional model of the blasthole,the volume of rock breaking in space of each type of blasthole is quantified,and the volume of rock breaking in blasting burden of blasthole is determined.Combining the quantized results with the unit consumption of explosive,an accurate calculation method of charge amount is proposed.(3)The BP neural network model optimized by genetic algorithm is studied and determined as the method of blasting effect prediction and parameter optimization.In this paper,the neural network model is trained and predicted by using the field blasting data of Zhaishan Tunnel of Jilai High-speed Railway.By comparing and analyzing the predicted value of training results with the actual measured value,the error is small and the maximum error is 12.2%,which can confirm the feasibility of the neural network model.According to the requirements of tunnel blasting effect and combined with the engineering site conditions,the blasting parameters are reversed adjusted and determined,and the optimal parameters for the project are finally determined.At the same time,according to the field test,a more optimized charging structure,namely,water pressure blasting charging structure,is put forward,and applied to the Zhaishan tunnel project,the optimization of blasting effect is more obvious.(4)The "Big Data Platform for Tunneling Blasting" has been developed,and some functions and modules of the platform have been realized,such as tunnel project creation,intelligent design of blasting scheme and optimization of blasting parameters.In view of the refined blasting requirements,the system architecture and functional requirements were analyzed through field investigation,and computer software technologies,such as JavaScript,Canvas,React,Nest and database,were cross-applied to realize the development of intelligent blasting design system for tunnel drilling and blasting excavation.The developed "Big Data Platform for Tunneling Blasting" was initially applied to Zhaishan Tunnel Project,which significantly improved the design efficiency of blasting scheme and the blasting excavation effect.After accumulating a large number of blasting cases,the platform can provide some guidance for the blasting scheme design of similar tunnel excavation.