Non-probability interval model based estimation of flying gangue motion in steep seam mining

Ming Liu; Xiaoyan Liu; Lin Sun

doi:10.1117/12.2652518

20 October 2022 Non-probability interval model based estimation of flying gangue motion in steep seam mining

Ming Liu, Xiaoyan Liu, Lin Sun

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 1235016 (2022) https://doi.org/10.1117/12.2652518
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

The kinematic behavior of the collision between the flying gauge and the bottom plate, existing in steep seam mining on longwall mining working face, is improved, and the flying gauge applied in steep seam mining on longwall mining working face, is studied. Based on non-probability interval analysis, which is convenient and practical in uncertain measurement, the motion model of flying gangue is established under uncertain environment. With theoretical analysis and numerical simulation, the kinematic characteristics of a flying gangue in steep seam mining on longwall mining working face, is investigated, and the kinematic mechanism of flying gangue is demonstrated. The accurate estimations of the kinematic motion and energy of a flying gangue, will improve both the flying gauge control in steep seam mining on long wall mining working face and the safe mining in steep seam.

Citation Download Citation

Ming Liu, Xiaoyan Liu, and Lin Sun "Non-probability interval model based estimation of flying gangue motion in steep seam mining", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 1235016 (20 October 2022); https://doi.org/10.1117/12.2652518

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