METODICHESKIYe OSNOVY PROGNOZA DINAMIKI METANOOBIL'NOSTI VYYEMOCHNOGO UCHASTKA PRI OTRABOTKE MOSHCHNYKH I SBLIZHENNYKH PLASTOV DLINNYMI STOLBAMI [METHODICAL BASES OF THE EXTRACTION SECTION METHANE INFLOW DYNAMICS FORECAST WHEN WORKING OUT THICK AND ADJACENT SEAMS WITH LONG PILLARS]

In the article, mining and technological conditions of underground coal mining related to the development of thick and adjacent seams are considered. The gas-dynamic reaction of the massif to technological impact is conditioned by the coal seam being processed with modern technologies highly variable position, therefore its operational analysis is considerably complicated. Changes in mining and technological situations go beyond the organizational and technical measures envisaged by the current regulatory documents.The application of modern knowledge about the occurring geomechanical processes during the development of coal seams allows us to detail information about the massif properties and conditions that change under the in uence of the shifting processes. The aim of the work was to re ne the extraction section methane in ow dynamics forecasting method during the thick and adjacent seams development by long pillars in conditions of gas potential high variability and development of nonlinear geomechanical processes in the rock massif. The article results will serve as a basis for extraction section methane in ow dynamics control ef ciency increasing and ensuring safe mining conditions

The specifics of training for the industrial sector in the context of digitalization

© Published under licence by IOP Publishing Ltd. The article provides an overview of the main trends in training for the industrial sector of the economy in the context of digitalization. The purpose of the article is to develop methodological tools for identifying areas of development of the knowledge economy in industrialized countries. Based on the methodology of cluster and correlation-regression analysis, the positioning of national economies in the theoretical space was carried out on the basis of indices-International Talent Index (GTI) and the Knowledge Economy Index. Based on the study, it is shown that, according to integral indicators, the position of the Russian economy in terms of the level of intellectualization and digitalization of the economy requires increasing financial, institutional and staffing to increase its competitiveness and adequacy to the trends of the global industrial system. The materials of the article can be used in the development of the main areas of training for the industrial complex of the national economy in the context of its digitalization

Management of sustainable consumption of energy resources in the conditions of digital transformation of the industrial complex

© 2020, Econjournals. All rights reserved. The purpose of the article is to study the dynamics of volumes and stability of the structure of energy resource consumption at manufacturing enterprises, the analysis of the technical readiness of energy systems to implement the ideas of digital transformation. As the main research methods used in this article there are the method of dipole energy analysis to determine the priority of types of energy carriers, the method of graphical visualization of data to find the release points of values from the zone of relative stability, the method of classifying objects to assign products to a group of objects on the level of energy sustainability. The article analyzes the current trends in energy consumption with the determination of the vector of sustainable energy consumption and the parameters of reserves for improving energy efficiency; prioritized separate types of energy production of petrochemical plants; the types of products were classified according to the level of sustainability of energy consumption with the establishment of control points having emissions of values from the zone of relative stability and unproductive consumption of energy resources; the high technical readiness of energy systems of manufacturing industries to automate production processes with the subsequent development of digital technologies has been proved