RESEARCH OF THE OPERATION OF A CARGO STATION FOR UNLOADING IRON ORE RAW MATERIALS IN THE PERIOD OF NEGATIVE TEMPERATURES USING «DATA MINNING» MODELING TECHNOLOGY

Purpose. At the present stage, the operation of the loading station for unloading bulk raw materials during the period of negative temperatures takes place in dynamic conditions, which leads to low efficiency of interaction between the loading station and the unloading complex. Due to the influence of a very large number of factors on the process of thawing iron ore raw materials, which include physical and mechanical properties, duration and temperature indicators at all stages of the process of transportation and thawing iron ore raw materials, traditional research methods do not give sufficiently reliable results. This situation complicates the process of receiving and unloading iron ore raw materials, leads to significant, additional energy consumption and production losses. To study the complex, multifactorial process of thawing iron ore raw materials, the computer modeling technology "Data mining" was used. At the first stage of the study, based on computer modeling of the process, taking into account all operating factors, the input parameter of the process of thawing iron ore raw materials was the depth of entry of the measuring rod into the frozen raw materials, and as a criterion - the mass of iron ore raw material residues in the car after unloading. Statistical data obtained on the basis of the conducted extensive production experiment were processed by the method of deep reconnaissance analysis, as a result of which the main patterns of the influence of factors on the mass of iron ore raw material residues in the car were identified and a regression model was developed. Research methods. When conducting scientific research, the following methods were used: analysis and synthesis to study the issue and scientific publications regarding the study of the operation of the cargo station for unloading bulk raw materials during the period of negative temperatures; experiment planning - to obtain a multidimensional data array; the "Data mining" method - to process data, obtain correlation dependencies of the operation of the cargo station and defrosting garages. The results. The work is devoted to solving the scientific and technical problem of studying the operation of a cargo station for unloading bulk raw materials during periods of negative temperatures. As a result of the research, the regularity of fluctuations in the duration of thawing of iron ore raw materials depending on changes in quantitative indicators of external factors and technological parameters was determined. Scientific novelty. The joint influence of the considered factors on the mass of iron ore raw material residues in the car after thawing and unloading was studied using the Monte Carlo method. The possibility of scientifically substantiated adjustment of the mass of iron ore raw material residues after thawing was established based on the methodological approach used. Practical significance. The research has established that the defrosting process is determined by three main factors: the input parameter of the raw material defrosting process - the depth of entry of the measuring rod into the frozen raw material, the technological parameter - the duration of defrosting the raw material and the output parameter – the mass of the raw material residues in the car after unloading. Therefore, by determining the patterns of change of the specified factors, it is possible to establish the duration of defrosting of iron ore raw material.