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NEIGHBORHOOD MODELING OF WASTEWATER TREATMENT PROCESSES

Annotation

The article presents the definition of industrial and domestic sewage, their principal and staff are listed. The main task of the wastewater treatment facilities are described, the sewage treatment plant, its components are given. The purpose of the writing of this work lies in the prediction of the composition of mixed waste water, which is coming from households and industrial enterprises in a centralized system of water removal, after cleaning on the basis of dynamic linear and quadratic neighborhood models. The work is relevant because before draining waste waters into the pond, you must ensure that the information contained in their composition of impurities and contaminants do not exceed acceptable norms. In the article is presented the wastewater treatment process in the form neighborhood dynamic model, consisting of five nodes. The dynamic linear and quadratic neighborhood models are reviewed. The equations of recalculation of conditions and outputs for the intermediate and output nodes neighborhood models are given. The identification of dynamic linear and quadratic neighborhood models of wastewater treatment are performed, calculated average absolute errors for identification. The comparison of the results of dynamic linear and quadratic neighborhood models and the conclusion are produced.

Keywords

dynamic neighborhood models; sewage; sewage treatment plant; linear and quadratic neighborhood models

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DOI

10.20310/1810-0198-2017-22-3-596-604

UDC

519.7

Pages

596-604

References

1. Blyumin S.L.,Shmyrin A.M., Shmyrina О.А. Bilinear neighborhood system. Lipetsk, LGTU, 2006. 2. Shmyrin A.M., Sedykh I.A. Classification of bilinear neighborhood system // Tambov University Reports. Series: Natural and Technical Sciences. Tambov, 2012. V. 17. Iss. 5. P. 1366–1369. 3. Shmyrin A.M., Sedykh I.A., Shcherbakov A.P. General bilinear discrete models // Vestnik Voronezh state technical university. Voronezh, 2014. V. 10. №. 3-1. P. 44–49. 4. Shmyrin A.M., Sedykh I.A. Discrete models in the class of neighborhood systems // Tambov University Reports. Series: Natural and Technical Sciences. Tambov, 2012. V. 17. Iss. 3. P. 867–871. 5. Shmyrin A., Sedykh I.A. Identification and control algorithms of functioning for neighborhood systems based on petri nets // Upravlenie Bol’shimi Sistemami, 2009. № 24. S. 18–33. 6. Sedykh I.A. Neighborhood modeling multi-agent systems // Tambov University Reports. Series: Natural and Technical Sciences. Tambov, 2013. V. 18. Iss. 5-2. P. 2667–2668. 7. Sedykh I.A. Parametric identification of linear dynamic neighborhood models // Collection of articles of International scientific-practical conference «Innovation science: the past, present, future». Ufa, 2016. 8. Sedykh I.A., Smetannikova А.М. Parametric identification of dynamic neighborhood model using the genetic algorithm and the pseudoinverse // Interactive science. 2017. V. 4. № 14. P. 113–116. 9. Zainullin R.R., Galyautdinov А.А. Problems of urban wastewater // Innovation science. 2016. № 6-2. P. 68–69. 10. Kalimullina D.D., Gafurov А.М. The needs in water supply and sanitation in thermal power stations // Innovation science. 2016. № 3-3. P. 98–100. 11. Morozenko М.I., Nikulina S.N., Chernyaev S.I. Coagulation wastewater treatment metallurgical enterprises // Fundamental research. 2016. № 12-2. P. 318–323.

Received

2017-05-11

Section of issue

Functional-differential equations and inclusions and their applications to mathematical modeling

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