Advance Search
MA Li, ZHANG Jianguo, ZHANG Leiming, TU Yuhang, WU Jing, LIAN Kaiyuan. Study on prediction of blast casting results in open-pit minebased on IPSO-ELM model[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(9): 69-75.
Citation: MA Li, ZHANG Jianguo, ZHANG Leiming, TU Yuhang, WU Jing, LIAN Kaiyuan. Study on prediction of blast casting results in open-pit minebased on IPSO-ELM model[J]. COAL SCIENCE AND TECHNOLOGY, 2021, 49(9): 69-75.

Study on prediction of blast casting results in open-pit minebased on IPSO-ELM model

More Information
  • Available Online: April 02, 2023
  • Published Date: September 24, 2021
  • The result of blast casting affects the stripping cost of open-pit mine directly,and has an important influence on the production efficiency to the stripping technology system of blast casting-dragline. In order to improve the accuracy of blast casting result prediction and feedback the design of parameters optimally. A prediction model(IPSO-ELM)was established for blast casting result in open-cast mine by combining of parameter-Improved Particle Swarm Optimization(IPSO)and Extreme Learning Machine(ELM)based on the analysis of the blast casting result influence factors. By adopting the parameter optimization method of Sigmoid inertial weight adaptive adjustment and learning factor dynamic adjustment,the shortcomings of low iteration efficiency and easy to fall into local convergence in the traditional particle swarm optimization are improved,and the model is analyzed by using the blasting data of the open-cast mine in Heidaigou,the prediction model of blast casting result was established by selecting powder factor,burden,bench height,hole spacing,minimum resistance line as the input variables,as well as effective stripping rate and loosen coefficient as the output variable,besides,the ELM model and the GA-ELM model were compared with it. The results show that the convergence speed of the model is enhanced obviously by improved adaptively and dynamically the inertia weight and learning factor of the conventional particle swarm optimization algorithm. IPSO-[LM]ELM model is the feature of shorter running time and higher convergence speed,its average prediction accuracy reached 0.989 5,and the mean square error,mean absolute error and mean relative error were controlled at 0.271 4,5.056 5% and 0.260 3%. The prediction error of IPSO-ELM is significantly lower than ELM and GA-ELM prediction model and the prediction accuracy is the highest.IPSO-ELM has a better applicability for predicting the effect of blast casting in open-pit mines.
  • Related Articles

    [1]ZHANG Xuebo WANG Wenyuan SHEN Shuaishuai, . Experimental study on distribution of negative pressure and flow rate under conditions of deformation and instability of boreholes[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(10).
    [2]GUO Lindong, ZHAO Xusheng, ZHANG Yongjiang, LIU Yanbao. Study on borehole sealing technique with sealing andisolation integration to gas drainage borehole along seam[J]. COAL SCIENCE AND TECHNOLOGY, 2018, (5).
    [3]Cheng Zhiheng. Study on optimization of strata passing borehole sealing depth and borehole layout space in floor gas drainage gateway[J]. COAL SCIENCE AND TECHNOLOGY, 2017, (2).
    [4]Li BoSun Donghui Zhang Lulu, . Study on rational space between gas drainage boreholes passing through seam in coal mine[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (8).
    [5]Wu Wei Wang Zhaofeng, . Numerical simulation study on grouting pressure and borehole sealing depth of borehole sealing[J]. COAL SCIENCE AND TECHNOLOGY, 2015, (11).
    [6]WANG Zhao-feng WU Wei, . Analysis on Major Borehole Sealing Methods of Mine Gas Drainage Boreholes[J]. COAL SCIENCE AND TECHNOLOGY, 2014, (6).
    [7]FAN Fu-heng ZHANG Fu-wang QIN Ru-xiang, . Study on New Borehole Sealing Device of Gas Drainage Borehole Along Seam[J]. COAL SCIENCE AND TECHNOLOGY, 2013, (10).
    [8]YANGLei ZHU Yu-chen LI Y_jing SONG Guo-zheng, . Study on Radial Swelling and Permeation Borehole Sealing Technology of Gas Drainage Borehole[J]. COAL SCIENCE AND TECHNOLOGY, 2013, (10).
    [9]Research on New Borehole Sealing Material and Sealing Technique Applied to Mine Gas Drainage[J]. COAL SCIENCE AND TECHNOLOGY, 2012, (4).
    [10]Study on Borehole Pressurized Sealing Technology for Gas Drainage Borehole in Mining Seam[J]. COAL SCIENCE AND TECHNOLOGY, 2011, (10).

Catalog

    Article views (200) PDF downloads (313) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return