Hongwei Yang
ABSTRACT
The filling and solidification method is employed in underground mines to backfill waste materials such as coal gangue, fly ash, and slag into the goaf, aiming to control strata movement and surface subsidence while addressing environmental pollution caused by solid waste. However, traditional filling methods suffer from low efficiency and excessive reliance on manpower. Therefore, this study conducts thorough research and planning on the motion trajectory of filling and compacting mechanisms. Firstly, we plan the environmental information of the filling area and establish a target function model for the critical point of materials. To solve this model, we employ the differential evolution algorithm for computation. However, the differential evolution algorithm is prone to falling into local optima. To address this issue, we adaptively improve the algorithm’s initialization method, scaling factor, and crossover probability. With the improved algorithm, we can more accurately calculate the target function for the critical point of materials and improve the algorithm’s accuracy and iteration speed. Through comparative analysis of simulation experiments, we find that our proposed method can effectively enhance filling efficiency and reduce manpower consumption compared to traditional approaches. Therefore, this research provides an effective method for the motion trajectory planning of filling and solidification mechanisms.
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Digital Library
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Index Terms
- Motion trajectory planning of coal filling tamping mechanism based on improved DE algorithm
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