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Reliability Analysis Of Uranium Mine Ventilation Network System And Optimization Control

Posted on:2016-02-26Degree:MasterType:Thesis
Country:ChinaCandidate:J Y ShiFull Text:PDF
GTID:2271330464962732Subject:Safety engineering
Abstract/Summary:PDF Full Text Request
Effectively realize optimal control of pollutants precipitation is particularly important in underground uranium mining to solve the problem of uranium mining safety operation, the radon ventilation is the base to solve the problem. Uranium mine shaft ventilation system is one of the important of mine production system which ensure mine safety production, improve the anti-disaster ability and the economic benefit of mine, its operation reliability is related to the security of uranium production. Uranium mine shaft ventilation system is a complex system which composed of many elements, expansion of mining depth and scale constantly complicates uranium ventilated system, therefore, leading to the lower reliability. Through the reliability analysis of uranium mine ventilation system, timely detection of hidden trouble in Technology and management of the uranium mine ventilation, effectively prevent the accident occurrence. And then using the principle of optimal control and intelligent optimization algorithms, realize the optimization control of uranium mine ventilation system reliability, to achieve the goal of safety production, disaster prevention and control, energy saving and expense reduction, finally to create significant economic benefits for the mine production.First, in this paper, it applies the reliability of the network system, construct a mathematical model of the network system reliability with topology relationship between network elements after consider the air volume, poisonous and harmful gases, dust concentration, temperature such wind road reliability index define the wind road reliability. According to uranium radioactive features, here with the tunnel of uranium mine as a study object of this article, it explores radon diffusion regularity of seepage in porous media, analysis of exhalation and distribution of radon in the tunnel under the steady state and unsteady state and combine with principles of system reliability, which establish the reliability model of uranium mine tunnel ventilation subject to safe working conditions of radon concentration, the use of radon permeation diffusion transfer theory, it analyzes the stope broken loose medium inside the radon migration rule, to build the dynamics equation of radon migration of seepage. At the same time, combining with the atmospheric pressure change and the crushing medium radon migration equation, it constructed relationship model between stope loose body radon exhalation rate and the ventilation parameter. And then, comprehensive consideration the mutual influence on air volume and air pressure of the radon concentration distribution. Further apply system reliability and mechanism of radon exhalation, establish radon concentration reliability model under the action of ventilation parameters, then analysis the reliability of the mine ventilation system. Secondly, in view of the radon concentration index into the Branch wind road network reliability model, it forms the uranium mine ventilation network system reliability calculation model. Then by using the theory of optimal control and intelligent optimization algorithms, thus grasp the active radon control technology which minimize the protection costs. In the end, the paper takes a uranium mining area for instance, carries on the detailed investigation, determination and evaluation about the present situation of the mine ventilation system, launches out the ventilation network system reliability modeling, and develop numerical simulation and optimization control program implementation with the application of genetic algorithm, and puts forward reconstruction scheme for mine ventilation network system.
Keywords/Search Tags:uranium mine, ventilation network system, Radon exhalation, reliability analysis, Ventilation parameters, Intelligent Optimization
PDF Full Text Request
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