PREDICTIVE CONTROL OF THE PROCESS OF BIOLOGICAL WASTEWATER TREATMENT BASED ON NEURAL NETWORK FORECASTING pH
DOI:
https://doi.org/10.36773/1818-1112-2024-133-1-149-155Keywords:
wastewater, pH prediction, correlation analysis, neural networks, wastewater treatment plantsAbstract
Monitoring, carried out using a computer-integrated information gathering system at existing wastewater treatment plants, made it possible to create a database on wastewater quality indicators (pH, redox potential, electrical conductivity, temperature). As a result of statistical processing of the results, the presence of pairwise relationships of medium closeness between the indicated quality indicators was set, which made it possible to form a conclusion about the expected effectiveness of predictive control of the purification process based on predicted pH values. A neural network pH forecasting system has been developed, which, after training using the obtained database, demonstrated high reliability of the forecast results and can be recommended for use. A possible structure of a predictive control system for the wastewater treatment process for practical implementation is presented.
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