Approach to creating an integrated model for research forecast of extraordinary emissions of coal and gas

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.

Osipova I.A. Approach to creating an integrated model for research forecast of extraordinary emissions of coal and gas. MIAB. Mining Inf. Anal. Bull. 2020;(3-1):170-177. [In Russ]. DOI: 10.25018/0236-1493-2020-31-0-170-177.

the Work was performed within the framework of the State task, topic № 0328-2019-0005 (2019—2021 гг.).

Osipova I.А., Cand. Sci. (Eng.), Senior Research Office of the laboratory for the geographic information and digital technological on subsoil use, The Institute of Mining of the Ural branch of the Russian Academy of Sciences, 620075, Ekaterinburg, Russia, е-mail: minesur@ mail.ru.

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