CHEN J J, LIU S W, YAN W T.Construction of skew prediction model for surface subsidence velocity in horizontal coal seam mining[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(1):71-75.

doi:10.16186/j.cnki.1673-9787.2020120105

Received:2020/12/30

Revised:2021/03/04

Published:2023/01/25

Construction of skew prediction model for surface subsidence velocity in horizontal coal seam mining

CHEN Junjie1, LIU Shengwei1, YAN Weitao1,2

1.School of Surveying and Land Information Engineering，Henan Polytechnic University，Jiaozuo 454000，Henan，China；2.State Collaborative Innovation Center of Coal Work Safety and Clean-efficiency Utilization，Henan Polytechnic University，Jiaozuo 454000，Henan，China

Abstract:To predict the dynamic damage degree of the surface accurately，based on the measured data the dynamic index of subsidence velocity was selected，the skew distribution characteristics of the subsidence velocity curve leaning to the side of the goaf were analyzed，and the skewness subsidence prediction model was established by square root transformation normal function.Then，its dynamic prediction accuracy was verified and analyzed by examples.The results showed that the predicted results obtained by using the prediction model were in good agreement with the measured data，the fitting degree between the predicted value and the measured value was above 0.95，and the relative median error was less than 9%.The study could provide theoretical and technical support for mine mining damage and protection.

Key words:skewness prediction model;subsidence velocity;horizontal coal seam mining;fully mining

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