«Automation and Informatization of the fuel and energy complex»

Development of a decision-making intelligent support system for assessing the state of the heat supply system facilities

UDC: 681.5:62-503.5
DOI: 10.33285/2782-604X-2023-6(599)-15-21

Authors:

¹ N.M. Fedorovsky Polar State University, Norilsk, Russia
² Tyumen State University, Tyumen, Russia
³ State Agrarian University of the Northern Trans-Urals, Tyumen, Russia

Keywords: intelligent management system, artificial intelligence, fuzzy logic, information processing, mathematical statistics, neuro-fuzzy modeling, data sampling, knowledge base

Annotation:

This scientific research addresses an important topic of developing new decision-making support systems based on neuro-fuzzy models and knowledge bases. Such systems allow efficient evaluation of the elementary objects state within the industrial heating system. Moreover, their distributional structure allows creating new types of information systems such as multi-agent systems, Internet of Things systems or fog computing architectures. One important aspect of many managerial schemes is a human factor presence in decision-making, which can lead to errors. Such errors can be caused by various reasons such as fatigue, inattention, low qualification or pressure from unknown factors. Therefore, nowadays the energy complex of Russia requires creating more intelligent systems that can guarantee the adequacy of decisions-making, taking into account the actual state of the object. Thanks to a prompt processing of such information, manager's decisions can be made faster and the probability of accidents and failures can be reduced.

Bibliography:

1. Selyutina L.G. Razvitie sovremennykh tekhnologiy podderzhki prinyatiya upravlencheskikh resheniy v predprinimatel'skoy deyatel'nosti v servisnoy ekonomike // Ekonomika XXI veka: sb. materialov Mezhdunar. nauch.-prakt. konf., posvyashch. 65-letiyu Sibir. un-ta potreb. koop., Novosibirsk, 23 okt. 2020 g. – Novosibirsk: Sibir. un-t potreb. koop., 2020. – S. 387–393.
2. Pletnyakov V.A. Razvitie sovremennykh tekhnologiy podderzhki prinyatiya upravlencheskikh resheniy strategicheskogo kharaktera v innovatsionnoy sfere // Terra Economicus. – 2012. – T. 10, № 2-2. – S. 56–59.
3. Petrov A.M., Popov A.N. Razrabotka metoda mathematiсheskogo modelirovaniya termodinamicheskikh protsessov odnofaznykh potokov naruzhnykh setey teplosnabzheniya // Stroitel'stvo i tekhnogennaya bezopasnost'. – 2022. – № 26(78). – S. 59–63.
4. Demidovskiy A.V., Babkin E.A. Integrirovannye neyrosimvolicheskie sistemy podderzhki prinyatiya resheniy: problemy i perspektivy // Biznes-informatika. – 2021. – № 3. – S. 7–23. – DOI: 10.17323/2587-814X.2021.3.7.23
5. Petrov A.M., Popov A.N., Kuzyakov O.N. Sovershenstvovanie arkhitektury intellektual'nykh sistem upravleniya // Avtomatizatsiya i informatizatsiya TEK. – 2023. – № 4(597). – S. 15–22. – DOI: 10.33285/2782-604X-2023-4(597)-15-22
6. Challenges for the cyber-physical manufacturing enterprises of the future / H. Panetto, B. Iung, D. Ivanov [et al.] // Annual Reviews in Control. – 2019. – Vol. 47. – P. 200–213. – DOI: 10.1016/j.arcontrol.2019.02.002
7. Yeung K. Recommendation of the council on artificial intelligence (OECD) // Int. Legal Materials. – 2020. – Vol. 59, Issue 1. – P. 27–34. – DOI: 10.1017/ilm.2020.5
8. Methodology of application of open-source platform Protégé in the measurement and computing systems development for diagnostics of heat supply networks / A. Petrov, A. Popov, M. Chekardovsky, A. Pushkarev // CEUR Workshop Proceedings. – 2021. – Vol. 2843. ITIDMS 2021 – Proc. of the Int. Scientific and Practical Conf. "Information Technologies and Intelligent Decision Making Systems", Moscow, Jan. 20, 2021.
9. Kataseva D.V. Neyronechetkaya model' i programmnyy kompleks formirovaniya baz znaniy intellektual'nykh sistem podderzhki prinyatiya resheniy po otsenke sostoyaniya ob"ektov: dis. … kand. tekhn. nauk: 05.13.18. – Kazan', 2022. – 185 s.
10. Kataseva D.V. Neyronechetkaya model' i programmnyy kompleks formirovaniya baz znaniy dlya otsenki sostoyaniya ob"ektov // Prikaspiyskiy zhurn.: upravlenie i vysokie tekhnologii. – 2022. – № 1(57). – S. 65–76.
11. Kataseva D.V. Nechetko-produktsionnaya model' klassifikatsii i otsenki sostoyaniya ob"ektov v intellektual'nykh sistemakh podderzhki prinyatiya resheniy // Mezhdunar. forum KAZAN DIGITAL WEEK – 2021, Kazan', 21–24 sent. 2021 g. – Kazan': NTsBZhD, 2021. – S. 124–130.
12. Petrov A., Popov A., Molotok A. Development of a laboratory installation of a digital measuring system for visualization of internal pipeline processes // J. of Physics: Conf. Ser. – 2020. – Vol. 1614. Int. Scientific Conf. Energy Management of Municipal Facilities and Sustainable Energy Technologies, Voronezh, Dec. 10–13, 2019. – P. 012036. – DOI: 10.1088/1742-6596/1614/1/012036