DEVELOPMENT OF CONTROL AND FORECASTING SYSTEM FOR THE EFFECTIVE FUNCTIONING OF BIOLOGICAL WASTEWATER TREATMENT PLANTS IN THE CITY OF VITEBSK BASED ON NEURAL NETWORKS

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Published: Dec 28, 2023
DOI: https://doi.org/10.52928/2070-1683-2023-35-3-2-10
Keywords:
biological wastewater treatment plants, functional modeling, control, forecasting, correlation analysis, neural networks биологические очистные сооружения, функциональное моделирование, контроль, прогнозирование, корреляционный анализ, нейронные сети
Issue
No. 3 (2023)
Section
Construction

Main Article Content

A. HALUZA
Vitebsk Regional Committee of Natural Resources and Environmental Protection
V. SHTEPA
Polessky State University, Pinsk
V. YUSHENKO
Euphrosyne Polotskaya State University of Polotsk

Abstract

The relevance of implementing modern approaches to improving the efficiency of sewage treatment facilities has been analyzed. Functional modeling of biological wastewater treatment has been performed using the IDEF0 methodology. It has allowed the identification of the nomenclature of input and control factors, mechanisms, and the results of corre-sponding technological processes. A block diagram of information flows in the context of control of wastewater treatment facilities is constructed. Correlation analysis of the relationships between wastewater quality parameters has been con-ducted, and expert opinions have justified the further use of neural networks for modeling the processes of purification of aqueous solutions. Neural model has been built on the Deductor analytical platform for forecasting the functioning of biological wastewater treatment plants.

Article Details

How to Cite
HALUZA, A., SHTEPA, V., & YUSHENKO, V. (2023). DEVELOPMENT OF CONTROL AND FORECASTING SYSTEM FOR THE EFFECTIVE FUNCTIONING OF BIOLOGICAL WASTEWATER TREATMENT PLANTS IN THE CITY OF VITEBSK BASED ON NEURAL NETWORKS. Vestnik of Polotsk State University. Part F. Constructions. Applied Sciences, (3), 2-10. https://doi.org/10.52928/2070-1683-2023-35-3-2-10
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

V. SHTEPA, Polessky State University, Pinsk

д-р техн. наук

V. YUSHENKO, Euphrosyne Polotskaya State University of Polotsk

канд. техн. наук

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