| Designing and planning of mine construction is a strong integrity engineering include technology, economy, resource and environment, however, regional mine that make up of multi-mines put forward higher request on productivity configuration together with its development haulage system. On the basis of assets realignment, resources integration and construction of "Three Platform" of regional mine in Yunnan Tin Company, this paper focus on the study on multi-mines productivity configuration and regional development haulage system reconstruction and optimization. The research with a view to innovation of exploitation mode of resources and acceleration of great-leap-forward development of enterprise under the eidos of harmonious, unification and efficiency, which deeply analyze and discuss the problems such as optimization of selection and collection, optimization of development haulage system, virtual simulation of haulage system and safety prediction and optimized disposition of water resource by using modern non-linear scientific method and computer technology. The detailed research contents as follows:(1) By using genetic algorithm (GA) optimizing the throughput of the concentration plant, and establishing a multi-objective optimization mathematic model of the concentrating plant. According to genetic algorithm theory, in combination with the essential of regional mine concentrating plant's throughput, which is multi-objective, multi-factor with continuous and discrete variables combinatorial optimization at the same time, taking the mine total ability of mineral processing as fitness, and establishing the objective function with the largest fitness. By optimizing design the choice of variables, developing transport systems engineering layout and the tailings storage capacity for the introduction of the main constraints, and use the best of the genetic algorithm search software to realize the solving of optimization mathematic model. The results of optimization supply the decision-making basis for adjusting the layout of mineral processing, improving the mineral processing ability structure of concentration plant, and realizing the maximum of resource utilization ratio and benefit. (2) Constructing the planning and optimizing model of regional underground mine development system based on ant colony algorithm theory. Transforming the complicated regional mine development system optimization into a network flow, comprehensive application of the minimum cost maximum flow, the absolute center of the network flow theory to research the development system optimization of regional mine. Advancing the proposed regional system of underground mine development planning model based on the ant colony algorithm, achieving improve the computer simulation of ant colony algorithm, and the ant colony algorithm of regional underground mine development system.(3) The paper analyzed the characteristic of underground mine development and transportation system, and expatiated the basic theory of computer simulation, and established the simulation model of underground mine transport system. Based on the discrete event system simulation, combining with stochastic time-series simulation recursive model to carry on the development and transport system simulation design, and the paper initially established each transport subsystem micro-model and the model of whole regional mine transport system. The simulation model includes functional modules and logic structure, achieving the integration of the character of transport network and train movement, transport signal control, transport accident response.(4) The simulating model of transport system is established by using the large simulation software Flexsim to simulate regional mine underground transport system. According to the simulation theory of discrete events and mine underground transport system simulation model, setting up mine sub-transport system model with monorail and double transport model cell. Collectivity model of regional transport system is obtained by combining sub-transport system models. Studying on the operations of transport system at different situations in order to evaluate the operation effect and realize intelligent and visualization of decision-making.(5) Analyzing the chaotic features of water resources system, by introducing the chaos theory into the field of water resources security combining with neural network to establish phase space reconstruction neural network coupled neural network model to predict water. By debugging model, analyzing parameter error and sensitivity to take on water resources forecasting simulation. Compare with the simulated values and historical of statistical data, verifying the validity of the model and reflecting the characteristics of water resources bearing capacity in the eastern of Gejiu and the state of the system evolution rule.
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