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Research On Technology Of Increasing Recovery Rate Of Fully Mechanized Sub-level Caving Face

Posted on:2008-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:L W ChenFull Text:PDF
GTID:2191330335453217Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
How to increase recovery rate of fully mechanized sub-level caving face in process of mining, which is among important and key technique problems what exist in practice of fully mechanized sub-level caving. Aim at this problem, this item seeks ways of increasing recovery rate of fully mechanized sub-level caving face, basing on geological conditions and mining craft of the 21181and 21121 working face, by associating Artificial Neural Network prediction with scene experiment. Owing to influence factors of recovery rate what are quiet excessive, and their collections are complex, which are hard to be depicted in way of math equations. Artificial Neural Network (ANN) technique has a very strong nonlinear ability and the self-adaptability. Especially, it is suitable for resolving the problems such as complex uncertain inference of the causalities, determination, forecast, classification and so on. So choosing BP Network to predicte recovery rate of fully mechanized sub-level caving face. Base on the research of effect factors of recovery rate of fully mechanized sub-level caving face, under principle of overall,integrity,reliant, the data of recovery rate of twenty-two fully mechanized sub-level caving face in Luan,Yanzhou,Xuzhou and Tiefa four diggings have been chose. Using BP neural network arithmetic, the relation model between recovery rate of fully mechanized sub-level caving face and effect factors has been founded, and their relation has been confirmed, moreover recovery rate of fully mechanized sub-level caving face have been forecasted. After prediction of the BP neural network and verifying by the experiments of top coal recovery rate in 21181 working face of the Qianqiu coal mine of Yima Coal Group, the caving craft and match equipments which increasing recovery rate of the fully mechanized sub-level caving face. At the same time, the experiments of first and end mining ways or craft models have been carried in the 21181 and 21121 working faces. Finally, Aim at the frongose situation of Qianqiu mine coal, from the aspect of ways on increasing recovery rate of fully mechanized sub-level caving face, base on prediction and scene experiment, it achieves approaches of increasing recovery rate of fully mechanized sub-level caving face, which include approaches of reducing first and end mining losing and end losing, as well as the most excellent caving mining ways and the best craft model that adapting to the high yield,high efficiency and high recovery rate of fully mechanized sub-level caving face of Qianqiu mine coal.
Keywords/Search Tags:fully mechanized sub-level caving face, recovery rate, prediction, Artificial Neural Network
PDF Full Text Request
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