Optimization from caving to filling method based on rough fuzzy set theory

A large-scale tin mine has been exploited by combined caving method for a long time, resulting in multiple surface collapse and subsidence, and surface water penetrates underground, threatening the deep mining of the mine.In order to improve the mining environment and reduce the depletion and loss, it is urgent to carry out the study from the caving to filling method.According to the actual production of the mine, the research selects the main impact indicators of the mining method with the depletion rate, loss rate, production efficiency, safety, environmental protection and cost.By using the decision table of mining method, the importance matrix of each index is calculated.Based on the analysis of statistical ore body shape, stone and off-balance distribution, and preliminary filling mining methods, the rough fuzzy set theory is used to realize the optimization from caving to filling method.The results show that medium-thick ore bodies with 5 m ≤ thickness ≤ 15 m, and ore bodies with a thickness > 15 m and containing more stones and extra-surface minerals, low-segment filling mining method should be selected; for ore bodies with a thickness > 15 m and containing less stones and extra-surface minerals, the advantage of sublevel open stopping with subsequent backfilling method is more obvious.The selected filling mining method can greatly reduce the loss and depletion rate of ore, improve production safety, and provide effective economic benefits and safety technical support for deep mining of mines.The method of optimization is scientific and objective, and has higher theoretical and engineering application value.