Cleaner Process Decision-making For Granite Mining And Application Research Of Evaluation System

China’s stone industry has become a stone material industrial powers of the world’s first in stone material production, consumption and trade.It makes no difference from technology and equipment to product structure in stone processing of stone industry chain, but compared with the developed countries it still has a big gap in the mining area.Based on the perspective of cleaner production, this research project focuses on decision-making and evaluation of granite mining technology, it has important practical significance for saving mineral resources,protecting the natural environment,and the sustainable development of stone industry.According to the actual circumstance of granite mining, collecting mining index factors, and based on fuzzy structure model, setting up structure model of index system. Getting primary index layer of B1,B2,B3,B4,B5,B6and secondary index layer of c1,C2,C3,C4,C5,C6,C7,C8,C9,c10,c11,c12,c13from the structure model of index system. Obtaining each secondary index requirements by stone cleaner production technical requirements and relevant specification files, and define the scope of cleaner technology index.Determining the target system and the target vector of decision-making model, setting up process decision-making mathematical model and model constraints. Brief introduction five kinds of commonly used granite mining scheme, applying process decision-making mathematical model, and selecting the cleaner scheme which meets the condition, so it can provide theoretical basis for enterprises to choose cleaner and encironmental stone mining process.Evaluation model is established for granite mining, according to the structure characteristics of granite mining indexes and the index itself property relations, selecting entropy method to determine the objective weight, AHP to determine the subjective weight and to determine the comprehensive weight based on optimization empowerment approach for minimum deviation.On the basis of the theory of fuzzy mathematics,by the fuzzy synthetic between judgment matrix and weight matrix, the fuzzy comprehensive evaluation results are obtained and determined the results of the fuzzy comprehensive evaluation.Regarding a typical granite mining enterprise in Shandong province as the research object, and the mining condition of stone sawing machine is analyzed, investigating index date values of four quarters, the maximum and the minimum of the same index.Applying granite mining evaluation model, we get membership value table, weight value table and fuzzy comprehensive evalution results. Accroding to the maximum membership degree principle, getting the deepest effect for cleaner production is the primary pollutants indicator. in the same way, getting the influence of secondary indexes. in the end, putting forward feasible suggestions and opinions.To some extent, the completion of this research project not only accelebrates modernization construction pace of stone mine, but protect the resources and the environment, complying with the national advocacy of energy conservation, emissions reduction and the requirement of cleaner production. Normative mining is helpful to speed up the mining resources integration, constantly to improve the utilization rate of resources and to promote the sustainable development of resources industry. Normative mining based on ecological production, comprehensive control as the core, scientific restoring green to reduce costs as the concept, makes efforts to achieve the harmonies and unition of social benefits, economic benefits and environment benefits.This research project is supported by the science and technology plans of Shandong province (Project Number:2010GZX20604).