MES FOR SUPPORTING DECISION-MAKING OF GAS PROCESSING SHOP STAFF IN LIQUID SULFUR MINING

K. S. Smirnov 1, O. O. Varlamov 1,2,3

About the authors

K. S. Smirnov 1, O. O. Varlamov 1,2,3

1Institute of Artificial Intelligence of the Russian Technological University MIREA 119454, Vernadsky ave. bld. 78, Moscow, Russia 2Bauman Moscow State Technical University 105005, 2-ya Baumanskaya st. bld. 5, building 1, Moscow, Russia 3 JSC M. A. Kartsev Research Institute of Computing Systems, 117437, Profsoyuznaya st. bld. 108, Moscow, Russia

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UDC: 004.891+007.52+004.896+681.518+65.011.56
DOI: 10.24412/2413-7383-2025-2-37-159-172
Language: Russian

Abstract: This article presents the development of a mivar expert decision support system for the personnel of a gas processing shop during liquid sulfur extraction. The system is implemented using mivar technologies of logical artificial intelligence and the KESMI platform. An analysis of technological factors affecting the efficiency of liquid sulfur extraction was conducted, key parameters determining production risks and violations were identified, and a forecasting model was developed to support operational and strategic decisions of personnel. The proposed approach allows minimiz ing risks, increasing productivity and ensuring the stability of the technological process.

Keywords: mivar, mivar networks, mivar expert systems, machine learning, technological process, production, Claus process, KESMI Wi!Mi RAZUMATOR, mivar technologies

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Issue: 2(37)'2025
Section: AUTOMATION AND CONTROL OF TECHNOLOGICAL PROCESSES AND PRODUCTION
How to cite: K. S. Smirnov 1, O. O. Varlamov 1,2,3. MES FOR SUPPORTING DECISION-MAKING OF GAS PROCESSING SHOP STAFF IN LIQUID SULFUR MINING // Problems of Artificial Intelligence. - 2025. - № 2 (37). - P. 159-172. - https://paijournal.guiaidn.ru/en/2025/2(37)-14.html

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