The article sets out an approach to the study and creation of a comprehensive model of sudden coal and gas emissions, from the standpoint of applying the theory of creating expert systems and the theory of intelligent control, based on the idea of studying the emission before it occurred, taking into account classification genetically specific phenomena and their signs, allowing to consider the sudden release of coal and gas not in general, but under specific conditions. The objectives of this work are to provide an overview of the existing mining, technological and geophysical methods used to forecast sudden coal and gas emissions, as well as to propose intelligent control methods for the process of studying the occurrence of sudden coal and gas emissions, with a view to further forecasting. The paper proposes an algorithm for studying the occurrence and forecast of sudden coal and gas emissions within the framework of the idea of an interdisciplinary approach. Research methods are proposed, such as fuzzy logic methods, decision-making methods in conditions of risk, decision-making methods in conditions of uncertainty, methods of variable states. The main recommendations for the construction of an integrated model of sudden emissions of coal and gas are given. If it is impossible or difficult to build a model, a recommendation is given on the decomposition of the model using causality logic, namely with the use of ontologies, that is, the creation of industrial knowledge graphs.

No abstract

No abstract

In the process of developing a coal deposit, significant amounts of data and extensive knowledge about the object of operation are accumulated. This data and knowledge may not be structured, not reliable, contradictory. In turn, for the further conduct of the entire complex of mining operations and the development of a coal mining enterprise, structured and reliable data and knowledge are needed. The aim of the study is to propose structuring knowledge about the process of sudden outbursts of coal and gas by presenting knowledge about the subject of research in the form of an elementary knowledge graph. The study is based on an ontological approach to solving the issue of safe mining, namely, to study the problem of sudden emissions of coal and gas from the standpoint of the fact that the release is considered before it has occurred. To solve the existing problem, it is proposed to create an elementary knowledge graph that takes into account geological, hydrogeological, geophysical, mining information about the subsoil use object, as well as geomechanical and geodynamic processes, and physicochemical mass transfer processes occurring in the coal seam and the accumulated experience and knowledge of miners using methods Data mining. As a result of the study, we can conclude that it is necessary to create a network of elementary knowledge graphs, and use other methods of knowledge extraction. For further analysis and refinement of data and knowledge about the process of sudden coal and gas emissions.