1. ACPS
  2. Всі випуски
  3. Випуск 8, Номер 2, 2023
  4. The Principle of Construction of the Boiler Control System With Efficient Use of the Solid Fuel

The Principle of Construction of the Boiler Control System With Efficient Use of the Solid Fuel

ACPS.
2023;
Випуск 8, Номер 2
: cc. 96 - 103
https://doi.org/10.23939/acps2023.02.096
Автори:
  1. Marko Kharchenko
  2. Юрій Клушин
1
Lviv Polytechnic National University, Ukraine
2
Національний університет «Львівська політехніка», кафедра електронних обчислювальних машин

The system for controlling the economic opera- tion of a solid fuel boiler is a device that controls and moni- tors the processes that occur during fuel combustion and water circulation in a solid fuel boiler. The system describes the combination of two main components: software and hardware. Based on these components, this article presents the method of building a system of economic operation of a solid fuel boiler, describes the development environment with its functions and capabilities, provides a detailed de- scription for the user with explanations of key points in the operation of the system. This system is aimed at improving the quality of room heating and optimizing this process in order to regulate the desired temperature for the user with minimal error. All software tools interact with each other according to clearly defined protocols, so there are no sys- tem failures.

твердопаливний котел
алгоритм
функціональні блоки
промисловий контролер
  1. Tsiunyk B., Muliarevych O., (2022). Software System for Motion   Detection   and   Trackin,   Advances   in   Cyber- Physical  Systems,  Vol.  7,  No.  2,  pp.  156–162.  DOI: https://doi.org/10.23939/acps2022.02.156.
  2. SP-30, (2019). EcoTronic controler. [online] Available at: https://www.ecotronic.com.ua/en/sp-30-controller.html (Accessed: 01/02/2022).
  3. TAL, (2018). TAL RT-22 manual [online] Available at: http://www.tal.com.pl/pliki/instrukcje/RT-22_ENG.pdf (Accessed: 01/02/2022).
  4. Euroster, (2018). Euroster 20 manual [online] Available at: https://euroster.pl/en/download/instrukcje/TERMOSTATY/euroster-2005-txrx... (Accessed: 01/02/2022).
  5. Chen X., & Chen J., (2018). An intelligent fault diagnosis system for a biomass boiler based on wavelet packet trans- form and fuzzy comprehensive evaluation. Energy, pp. 1287–1298. DOI: 10.1016/j.energy.2018.08.019.
  6. Deng J., He L., & Wang J., (2020). Intelligent  control system of biomass boiler based on artificial neural network optimized by particle swarm algorithm. Applied Thermal Engineering, pp. 166–176. DOI: 10.1016/ j.applthermaleng.2019.114582.
  7. Wang B., Huang C., Xie H., & Su Y., (2018). Intelligent control of biomass boilers based on fuzzy control theory. Energy Procedia, pp. 352–357. DOI: 10.1016/j.egypro. 2018.09.248.
  8. Chen T., Yan Y., Li G., & Yang X., (2020). Intelligent control of biomass boilers based on neural network and improved particle swarm optimization. IEEE Access, pp. 717–728. DOI: 10.1109/ACCESS.2020.3032355.
  9. Cao H., Wang X., & Cao Y., (2021). Intelligent control of a biomass boiler using fuzzy logic and improved particle swarm optimization. Energy Conversion and Management, pp. 232–242. DOI: 10.1016/j.enconman.2021.113954.