Transition processes in coal field development in the light of intelligent control

Abstract

Relevance of the work. The problem of sudden outbursts of coal and gas has been studied for more than a century and a half using various approaches to study this process. In order to prevent accidents and conduct safe mining operations. Today this problem remains relevant in the territory of the Russian Federation. In connection with the changed external and internal challenges of the development of coal mining at Russian mining enterprises, it is proposed to consider the problem in the light of two aspects, one of which is the geographical location of subsoil use objects and intelligent control. Objective. The work is devoted to the study of the development of transient processes at a coal mining enterprise from the standpoint of intellectual management. The task of the work is to create in the first approximation an industrial knowledge graph. Method and methodology of the work. The study is based on a problem-oriented approach to solving the issue of safe mining, namely, to thoroughly study the problem of sudden emissions of coal and gas before the release occurs. To solve the existing problem, it is proposed to create an industrial graph of knowledge, taking into account the peculiarities of geomechanical processes occurring in the mountain range. In the created industrial knowledge graph, the main classes are shown that contribute to the presentation and structuring of knowledge about the causes of sudden coal and gas outbursts for a particular coal seam being put into production. Results. Because of the study, based on the construction of an industrial knowledge graph, we can conclude that it is necessary to create a classification with geomechanically specific phenomena and their features. Study of normative and reference information and identification of semantic patterns in them. All these studies are complicated by the large volumes of data, their fragmentation, and in some cases the unreliability and inconsistency of information. When obtaining a semantically non-contradictory industrial graph of knowledge, knowledge can be “useful” for constructing a mathematical model for predicting sudden coal and gas emissions.