North Caucasian Mining and Metallurgical Institute (State Technological University), Vladikavkaz, Russia:

A. A. Sokolov, Associate Professor, Candidate of Engineering Sciences, asklv@mail.ru
A. S. Miroshnikov, Associate Professor, Candidate of Engineering Sciences
E. A. Sokolova, Associate Professor, Candidate of Engineering Sciences

Aiming at the enhancement of the stability control efficiency in the system of a mining and metallurgical plant and the ambient environment, the article proposes a special algorithmic support and control flow charts. Also, the operating principle of one of the key algorithms of the mining and metallurgical plant–ambient environment stability control with regard to maximum allowable parameters of mining cycles is described. Monitoring of current parameters of mining cycles is implemented by an information-and-analysis system in the on-line mode, with the direct control over current parameters of toxic emission concentrations and their fluctuations from allowable levels. The obtained data are used to generate a matrix of the current parameters to be then analyzed using a computer program. In case of the excess of the current parameters over the allowable values, the cause of the excess is revealed and the decision-making support system (DMSS) generates decisions on adjustment and correction of a process flow. Under the normal conditions, the data are stored in the data base of DMSS. For application of the developed algorithms in the information-and-analysis systems toward the enhanced efficiency of the mining and metallurgical plant–ambient environment stability control in Russia, the data bases on the maximum allowable parameters of mining cycles should be adjusted to account for characteristics of specific process flows. The proposed algorithms of intelligence support contribute to expansion of the existing class of active tasks on efficient management in the mining and metallurgical industry owing to new options of the analysis, monitoring and control of mining-induced events in process flows, which greatly abates industrial load in the system of mining and metallurgical plant and the ambient environment.
The study has been supported by the Ministry of Education and Science of the Russian Federation in the framework of the basic part of the Governmental Assignment for R&D under the topic of Special Mathematical and Program Support of New-Structure Analysis and Processing of Data on Process Cycles in Mining and Metallurgical Plants, Project No. 3943.

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