Research on Parameter Optimization of Low-Carbon Filling System Based on Improved Unascertained Measure Model
The green development of mineral resources is the focus and difficulty of the current mining industry.The cemented filling mining method has become one of the widely used technologies,but it lacks a low-carbon grade evaluation system for the filling system.In order to accurately evaluate the low-carbon performance of mine filling system,the unascertained measure model was introduced,10 influence indexes were selected,the single index unascertained measure function was constructed,and the combined weight of each index based on the measure function was determined.By bringing the measured data of four mines into the measurement function,the single index measurement matrix was calculated.Combined with the weight vector,the multi-index comprehensive measurement was calculated.The low-carbon level of the whole tailings paste filling system of a mine in Shandong was determined to be grade Ⅱ,and the low-carbon level of the coarse tailings paste filling system of three mines in Xinjiang,Inner Mongolia and Sichuan were all at grade Ⅲ.On this basis,the index parameters of the whole tailings paste filling system of a lead-zinc mine in Hunan were optimized and popularized by using the established low-carbon evaluation model.The results show that by optimizing the cement-sand ratio of the filling cementitious material,increasing the diameter of the conveying pipe,strengthening the wear resistance of the bends in the wear-prone area,and regularly flipping the pipe,the low-carbon filling system score can be increased from 68.23 to 81.62,the degree of growth is 19.62％,and the evaluation grade is increased from grade Ⅲ to grade Ⅱ.The research results have good reference significance for the development and construction of low-carbon filling system.
Low-carbon fillingUnascertained measureParameter optimizationEvaluation system
万方数据
维普
