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Model matematyczny oczyszczalni ścieków

Rakoczy R., Masiuk S., Kordas M., Grądzik P.

Inżynieria i Aparatura Chemiczna

2011

Nr 5

94-95

Prezentowana praca jest próbą zastosowania statystycznych technik identyfikacji do opisu funkcjonującej oczyszczalni ścieków. W oparciu o zarejestrowane stężenia zawiesiny na wlocie i wylocie oczyszczalni oraz w etapach pośrednich sformułowano model matematyczny. Zaproponowano strukturę blokową modelu oraz wyznaczono charakterystyki w dziedzinie czasu i częstotliwości.

The paper is an attempt to describe application of the statistical identification technique for practical problems of the dynamic behavior of a typical functioning sewage treatment plant. Mathematical model of the plant is based on the experimental investigations of suspension concentration for the random input and output signals obtained simultaneously. This idea has been applied to the stationary linear dynamic sewage treatment plant whose model is defined by using the elementary dynamics system. The power frequency characteristics was determined from the correlation and the spcctral density functions of input and output signals

The application of information theory to the process of nitrogen compounds reduction from sewage

Masiuk S., Rakoczy R.

Polish Journal of Chemical Technology

2006

Vol. 8, nr 1

67-78

The paper describes statistical and information methods of nitrogen compounds reduction from sewage in a treatment plant. These methods enable the formulation of the correlation and spectral density functions, as well as, information entropy of the input and output signals obtained simultaneously. The entropy method is based on the experimental data distribution in the cross-section of the stochastic processes at different moments of time. These distributions suggest the use of the normal distribution which permits easy calculation of the maximum entropy. The results of the power frequency characteristics of the nitrogen compounds reduction from the database containing the concentration and entropy spectral density obtained with these methods are presented and compared.