| This dissertation is one part of the science and technology cooperation project between Yunnan province and university/china academy named "The Regional Mine Production Systems Optimization and the Study on the General Planning of Mine Construction in Informationization and Modernization in China Yunnan Tin Minerals Group Company Limited". From the CAS theory point of view, based on thorough analysis of the past and present condition of regional mine, using interdisciplinary knowledge and technology, such as integrated mining system science, economics, management science, mathematics and computer science, etc, it aims at optimizing the mining and concentration plant systems overall match of the regional mines, thus realizing the exploitation of mineral resources scientifically and orderly, increasing the development and utilization level of mineral resources and the economic benefits of mining enterprises, and providing theoretical basis for the informationization of production and operation and scientific management of regional mines.The dissertation analyzes and studies the above-mentioned problem mainly from the following aspects:First of all, the Complex Adaptive System theory is helpful to study the characteristics of mining and concentration plant systems match of the regional mines. It analyzes the structural characteristics, hierarchy, adaptability, self-organization etc. of mining and concentration system match of regional mines. It studies the optimization match methods of constantly developing mining and concentration plant systems of regional mines in certain geography boundary, which consist of resources environment, ore production and processing, etc. Then the author puts forward the theoretical framework of mining and concentration system optimization match based on the Complex Adaptive System theory and provides theoretical basis for the mining and concentration plant systems match of the regional mines.Secondly, based on the "flow" features of the Complex Adaptive System, this paper researches the network analysis model of mining and concentration plant systems of CAS 'flow'-based regional mines. Using the modern logistics theory, the problems of network optimization and location of regional mining and concentration plant systems have been discussed, under the condition of meeting the present production ability needs of the regional mines, the maximum network flow and the minimum logistics cost. Finally, we can realize reasonable arrangements transportation lines and layout of concentration plant for the underground mine, thus, to reduce transport costs, save time, enhance economic efficiency, and achieve the scientific transport management.This paper focuses on following items:(1) By the shortest path model building, it discusses the current distribution of resources and transport routes, and calculates the best path from resource points to concentration plant, thus reflecting the strengths and weaknesses relevant to the current resources level.(2) By the maximum logistic flows model building, it verifies whether the transport network from the mining point to the concentration plant could meet the future production capacity of regional mines.(3) By the minimum cost and maximum logistic flow model building, it studies the match schemes of the mining and concentration plant systems of regional mines under the condition of maximum network flow and minimum transportation costs.(4) By the new or expanded ore-dressing factories location model building, it determines the optimum location schemes of new or expanded ore-dressing factories after the basic conditions are satisfied.Furthermore, it studies the internal laws of the mining and concentration plant systems during the operation time. By analyzing the operation technical parameters of regional mining and concentration plant system, this paper finds its impact feature on mine efficiency and correlatively analysis model building.According to the main techno-economic indicators of mine operation and the established different relationships model, by means of organic integration, it builds a comprehensive mine techno-economic analysis model for the regional mining and concentration plant system. The model considers about network optimization of the regional mining and concentration plant, the major factors affecting the ore costs, the function of the superiority concentration plant, and the management condition of water, electricity and tailings as well as their balance. Using genetic algorithm method solved the comprehensive techno-economic evaluation metal, so achieved the economic benefits maximization of regional mine.(1) On the basis of project cost analysis of the regional mining and concentration plant from the cost structure, certain measures could be taken concerning the reduction of transport cost, electricity, water supply cost and tail discharge cost to improve the economic benefits of mining enterprises.(2) By techno-economic indicators sensitivity model building, it attains the level of techno-economic indicators sensitivity and the major and minor influencing factors for the mining and concentration plant economic benefit.(3) By the fuzzy comprehensive evaluation model building, it adjudicated fuzzy the comprehensive indicator quality of various concentration plant and mineral type dressing and determined the superiority concentration plant.(4)Using correlation analysis, regression analysis and others statistical analysis method, it analysis the main influence techno-economic indicators of regional mine, derived the scale-techno-benefit model by regression equation and benefit equation. it provide the technological supports for the comprehensive evaluation model building.(5)By the comprehensive economy evaluation model building for the regional mining and concentration plant system, it achieved the global optimal matching of regional mine. Using genetic algorithm method solved the problem of 7 mine points,5 concentration plants,3 mineral types,105 independent variables and millions of optional programs model, obtained optimal matching results, realized the production application of mining and concentration plant matching in Yunnan Tin regional mine. It is proved that used with the optimization technology indicators will enable the mine to increase its tin production 15, 500 tons each year and the pre-tax profit 920,480,000 yuan, attains fair economic and social benefits for mining enterprises.Finally, used the experience of GIS spatial analysis method for reference, this paper develops a three-dimensional visualization decision support system for the regional mining and concentration plant matching. Although the application of decision support system in mining industry has been studied a lot, the three-dimensional visualization decision support system has been hardly studied. This research will prove to be helpful and practical in improving the level of management modernization and scientific decision making for mining industry.In short, for the regional mining enterprises, a large amount of operation and management data appears every day. Therefore, This paper focuses on how to collect and analyze those data to find the internal and external influencing factors on mine development, to establish a comprehensive techno-economic evaluation model for the real mine situation, to make a scientific management decision for regional mine, those are the difficulty for mine researchers.With the rapid development of theories and methodologies in the fields of system science, computer science, mathematics and economics, etc, it lays a good foundation for completing and enriching the optimizing theory and methodology of regional mining and concentration plant. This paper provides some constructive ideas and methods for regional mining and concentration plant system matching by utilizing and absorbing the theories and methodologies of other disciplines. Meanwhile, it offers a valuable guide for mining enterprises to improve economic benefits.
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