«Automation and Informatization of the fuel and energy complex»

The development of means to improve the efficiency of data processing and transmission in automatic control systems of heating processes

UDC: 519.853
DOI: -

Authors:

¹ N.M. Fedorovsky Polar State University, Norilsk, Russia
² University of Tyumen, Tyumen, Russia
³ GAU of Northern Trans-Urals, Tyumen, Russia
⁴ Sibilink, Tyumen, Russia

Keywords: 4GDH, digital technologies, heating system, automatic control system, control algorithm, thermodynamic processes, graph theory, mathematical model, fuzzy logic, simulation modeling

Annotation:

The development of heating systems is accompanied by an increase of the complexity and size of technical systems. To control such processes, automation software and hardware complexes (ASUEO) are used. The main task of these systems is to optimize the exchange and processing of data among the system objects. The article describes the methods used when developing such systems based on the application of information theory and the study of queuing systems. The authors of the article presented a model of the ASUEO heating system like a component model, allowing the use of graph theory and queuing systems to calculate data exchange time and communication channels capacity. Algorithms have been developed to optimize data transmission processes, taking into account the probability of signal distortion in communication channels. The use of the improved least queue algorithm has significantly increased data transmission efficiency in the system, reducing data collection time by 17 %. The authors of the article emphasize the characteristics of information messages formation in ASUEO, based on centralized data transmission. It has allowed for a mathematical description of system time parameters. Further development of the proposed methods and algorithms will improve the efficiency of managing heating processes and data exchange in similar systems. The research results suggest making a conclusion that using the improved least queue algorithm in ASUEO heating system can significantly enhance data processing and overall system efficiency. It also opens up prospects for further research and development in the field of optimizing heating control processes using modern information technologies.

Bibliography:

1. Sorokin A.M. Monitoring sistem teplosnabzheniya // Vestn. Volgograd. gos. arkhitektur.-stroit. un-ta. Ser.: Str-vo i arkhitektura. – 2022. – № 2(87). – S. 90–98.
2. Romaskevich S.A. Analiz problem raboty sistem teplosnabzheniya i obosnovanie ikh modernizatsii // Prioritetnye napravleniya innovatsionnoy deyatel'nosti v prom-sti: sb. nauch. st. X mezhdunar. nauch. konf., Kazan', 30–31 okt. 2021 g.: v 2 ch. Ch. 1. – Kazan': Konvert, 2021. – S. 125–126.
3. 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
4. Kanev S.N., Toropkov S.A. Sovremennye sistemy teplosnabzheniya: problemy i puti ikh resheniya // Uchenye zametki TOGU. – 2013. – T. 4, № 4. – S. 1799–1807.
5. Petrov A.M., Popov A.N. Razvitie nauchno-tekhnicheskikh osnov sovershenstvovaniya avtomatizirovannykh sistem operativnogo kontrolya i upravleniya protsessami teplosnabzheniya // Intellektual'nye sistemy v pr-ve. – 2023. – T. 21, № 4. – S. 117–124. – DOI: 10.22213/2410-9304-2023-4-117-124
6. Razrabotka neyronechetkoy modeli modelirovaniya trudnoformalizuemykh protsessov sistem teplosnabzheniya / A.M. Petrov, A.N. Popov, D.A. Popov, V.I. Terekhov // Avtomatizatsiya i informatizatsiya TEK. – 2024. – № 1(606). – S. 18–23.
7. The Research of Theoretical Approaches to Increasing the Reliability of Automated Control Systems in the Energy Sector / Kyaw Zin Lin, Aung Kyaw Myo, E.M. Portnov, Kyaw Zaw Ye // J. of Physics: Conf. Series. – 2018. – Vol. 1072. 2018 Int. Conf. on Energy, Electrical and Power Engineering, June 15–18, 2018, Seoul, South Korea. – P. 012020. – DOI: 10.1088/1742-6596/1072/1/012020
8. Gnedenko B.V., Kovalenko I.N. Vvedenie v teoriyu massovogo obsluzhivaniya. – M.: Nauka, 1987. – 336 s.
9. Kartashevskiy V.G. Osnovy teorii massovogo obsluzhivaniya: ucheb. – M.: Goryachaya liniya – Telekom, 2013. – 130 s.
10. Sovershenstvovanie struktury kontroliruemykh punktov sistemy telemekhaniki / Aung Chzho M'o, A.V. Vysochkin, V.V. Kokin [i dr.] // Mezhdunar. zhurn. priklad. i fundament. issled. – 2019. – № 2. – S. 12–16.
11. Pevzner L.D., Churakov E.P. Matematicheskie osnovy teorii sistem. – M.: Vysshaya shk., 2009. – 503 s.
12. The technique for increasing the efficiency of the control and management of the power facilities in SCADA systems / E.M. Portnov, Aung Kyaw Myo, Kyaw Zin Linn [et al.] // 2018 IEEE Conf. of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), Moscow and St. Petersburg, Russia, Jan. 29 – Feb. 01, 2018. – P. 1773–1776. – DOI: 10.1109/EIConRus.2018.8317449
13. Method for Detection of Failures in Complex Process Control Systems / E.M. Portnov, Kyaw Zin Lin, V.V. Kokin, Aung Kyaw Myo // 4th Int. Conf. on Engineering and Telecommunication (EnT), Nov. 29–30, 2017, Moscow, Russia. – P. 145–149. – DOI: 10.1109/ICEnT.2017.38
14. Aung Chzho M'o, Marshalov V.N., Portnov E.M. Razrabotka metodiki prognozirovaniya nagruzki v raspredelennoy vychislitel'noy sisteme // Perspektivy nauki. – 2020. – № 11(134). – S. 187–192.