Optimization Production Scheduling of Underground Backfilling Mining Based on NSGA-II

In the green backfilling mining of underground coal mines, gangue in a coal seam is used to replace and fill goafs. However, the gas drainage time changes in the amount of gangue output and order in the extraction sequence of stope blocks, thereby changing the production output. A multi-objective in...

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Veröffentlicht in:Mining, metallurgy & exploration Jg. 39; H. 4; S. 1521 - 1536
Hauptverfasser: Bao, Yu, Wang, Yutao, Zhao, Liang, Zhang, Aijuan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.08.2022
Schlagworte:
Engineering
Materials Engineering
Metallic Materials
Mineral Resources
Non-dominated sorting genetic algorithm II (NSGA-II)
Underground backfilling mine
Multi-objective integer programming
Underground mine production scheduling
ISSN:2524-3462, 2524-3470
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Zusammenfassung:In the green backfilling mining of underground coal mines, gangue in a coal seam is used to replace and fill goafs. However, the gas drainage time changes in the amount of gangue output and order in the extraction sequence of stope blocks, thereby changing the production output. A multi-objective integer programming model was proposed to solve this based on an improved non-dominated sorting genetic algorithm. The results show a feasible gangue filling rate can be found and the extraction sequence for a long-term planning time is optimized. It increases the planned annual output by 26% and reduces equipment idle time. Highlights Solving the change of production scheduling caused by "under three", gas drainage, etc. Establishing a method to find suitable gangue filling rate in backfilling mining. Improving the mixed population coding in the NGSA-II for solving production scheduling. Adding an upper layer with greedy strategy to control the Pareto equilibrium frontier. Establishing a constraint to limit deadlocks in production scheduling solutions.
ISSN:2524-3462
2524-3470
DOI:10.1007/s42461-022-00606-z