MODELING OF AUTOMATIC REGULATION OF A VENTILATION BASED ON FUZZY LOGIC
Yeralinova G.M. Orazbayev B.B. Brazhanova D.K. Suleimanov S.R.
March 2024International Organization on Technical and Physical Problems of Engineering
International Journal on Technical and Physical Problems of Engineering
2024#16Issue 5892 - 97 pp.
The study will be conducted in order to improve the model of automatic control of supply and exhaust ventilation in the production room using fuzzy logic. The main scientific novelty lies in the fact that the model will control not only the basic parameters of the microclimate, but also the content of harmful substances in the indoor air. To create this model, five main stages of the fuzzy modeling process will be studied and applied. Fuzzy logic will allow the model to adapt to changing conditions, taking into account the fuzziness and uncertainty of the input data. This will help to achieve optimal working conditions in the production room, providing a comfortable and safe environment for employees. As a result of the study, recommendations will be proposed for the development and implementation of similar systems at other production facilities. This will allow the benefits of the developed model to be extended to a wider range of industrial enterprises, ensuring optimal working conditions and increasing employee safety.
Air Ventilation System , Controller , Fuzzy Logic , Intelligent Systems
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Department of Systems Analysis and Management, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Energy Systems, Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan
KazTechAutomatics LLP, Temirtau, Kazakhstan
Department of Systems Analysis and Management
Department of Energy Systems
KazTechAutomatics LLP
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