Mathematical modeling is used in this work in the analysis of options for the implementation of acid mine water treatment technology. Ta technological scheme of metal-bearing mine water treatment is proposed and includes two stages. The first stage, the treatment of mine water to the required degree to extract solid insoluble sediment for further processing, is implemented in a mobile technological complex installed in places of mine water outpouring. Selective extraction of individual metal powders is delivered in a stationary complex in applying the centrifugal conversion method using plasmatron. In the first step, the metal ions contained in the mine water should be complete recovered with maximum energy-saving. The condition for complete extraction of useful components from mine waters is pH values corresponding to the beginning of precipitation of hydroxides of various metals and complete precipitation, which depend on the nature of metals, their concentration in solution, temperature, impurity content. The process regime must be manageable to ensure its adequacy in the quality of raw materials under conditions of changing mine water flow rates and concentrations of ingredients. The technological mode must be manageable to ensure its adequacy in the raw material quality under changing mine water discharges and concentrations of ingredients.
Keywords: technological complex, mine water, treatment, modeling
The research is aimed at solving some problems of controlling the processes of monitoring the process of mine water purification by mobile technological complexes with variations in its costs and physical and chemical characteristics. The initial data are the results of discrete and continuous monitoring of the characteristics of the treated water and the technological mode of reagent-free water treatment by a mobile technological complex. The analysis of the problems that arise when choosing the observation procedures necessary to solve the problem of predicting a non-stationary random process with varying mathematical expectation, variance, and the type of distribution laws itself is performed. To ensure the stability of the water treatment process in the statistical sense, a procedure for parametric identification of the predictive model from a limited sample is proposed. The requirements for monitoring the quality of process management at the upper hierarchical level of the mine water treatment management system are formulated.
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