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System of Laser Monitoring of Water Pollution with Application of Relative Description of Signal Shape

https://doi.org/10.21122/2220-9506-2020-11-2-114-121

Abstract

As a rule, the wastewater treatment system is not designed to filter substances formed, as a result of beyond design basis accident. The nature of the beyond design basis accident is associated with the shortterm appearance of a clot of these substances in wastewater, determined by the volume of the substance storage tank. Therefore, a rational approach is to divert this portion of the formed substances into a separate branch of the sewage system or sedimentation tanks. The aim of the work is to implement this approach by creating a laser monitoring system for water pollution.

The article proposes a system for automatic detection of a clot of emergency discharge of pollutants into the wastewater of an industrial enterprise. The structural diagram of the system and the purpose of its main elements are given. The system should provide clot detection in real time. To ensure this function, a preliminary study is made of the spectral characteristics of all substances that may appear in wastewater in the event of an emergency.

Based on these data, the wavelengths of laser radiation in the system are selected. The obtained measurement data from several probes are presented in the form of a lattice function, which is translated into a relative description representing the order relationship matrix on the set of lattice function components. The relative description is invariant to linear changes in the lattice function. The decision to detect any substance from emergency discharges is made based on a comparison of the relative description of the measurements with the standards prepared at the stage of system setup.

The article provides an example of the formation of standards for emergency clots from glycerin and allyl alcohol. The graphs of the lattice functions obtained from the IR spectra of emergency discharges of these substances are given; algorithms for constructing a lattice function and comparison of lattice functions. Thus, using the developed mathematical description of the shape of digital signals based on the relative description, the signal of the monitoring curve can be described in the form of a curve of the optical density change of an aqueous medium.

About the Authors

V. A. Alekseev
Kalashnikov Izhevsk State Technical University
Russian Federation
Studencheskaya str., 7, Izhevsk 426069


S. I. Yuran
Izhevsk State Agricultural Academy
Russian Federation
Address for correspondence:  S.I. Yuran – Izhevsk State Agricultural Academy, Studencheskaya str., 11, 426069, Izhevsk, Russia        e-mail: yuran-49@yandex.ru


V. P. Usoltsev
Kalashnikov Izhevsk State Technical University
Russian Federation
Studencheskaya str., 7, Izhevsk 426069


D. N. Shulmin
Kalashnikov Izhevsk State Technical University
Russian Federation
Studencheskaya str., 7, Izhevsk 426069


References

1. Drugov Yu.S., Rodin A.A. Ekologicheskie analizy pri razlivah nefti i nefteproduktov [Environ-mental analyses in oil and oil product spills]. Moscow, BINOM. Knowledge lab Publ., 2014, 270 p.

2. Kopyltsova A.B., Tarasov B.P., Klim O.V. Modern practice and problems when using industrial and laboratory spectrophotometer analyzers of the physicochemical properties of petroleum and petroleum products. Measurement techniques, 2013, vol. 56, no. 3, pp. 322–327. DOI: 4 https://doi.org/10.1007/s11018-013-0203-4

3. Website of Hach Company. TU5300sc / TU5400sc Online Laser Turbi-dimeters. Available at: https:// www.hach.com/turbidity-analyzers/tu5300sc-tu5400sc. (accessed 03.04.2020).

4. Akimov V.A. Prirodnye i tekhnogennye chrezvychajnye situacii: opasnosti, ugrozy, riski [Natural and technogenic emergencies: dangers, threats, risks]. Moscow, Delovoy Express Publ., 2001, 341 p.

5. Bonitenko Y.Y., Nikiforov A.M. CHrezvychajnye situacii himicheskoj prirody [Emergency chemical nature]. Saint Petersburg, Hippocrates Publ., 2004, 464 p.

6. Gabrichidze T.G. Osnovy kompleksnoj sistemy bezopasnosti kriticheski vazhnyh (potencial'no opasnyh) ob"ektov municipal'nogo i regional'nogo urovnej [Fundamentals of the integrated security system of critically important (potentially dangerous) objects of municipal and regional levels]. Samara, SamNC RAS Publ. House, 2012, 390 p.

7. Shahmaryan M.A., Akimov V.A., Kozlov K.A. [Ural region of Russia – natural, man-made and environmental hazards]. Ekologiya i promyshlennost' Rossii [Ecology and industry of Russia], 2002, no. 3, pp. 4–8 (in Russian).

8. Obukhov A.E. Optical spectroscopy and the structure of polyfunctional hydrocarbon compounds and oil products. Optics and Spectroscopy, 2018, vol. 124, no. 5, pp. 696–702. DOI: https://doi.org/10.1134/S0030400X18050168

9. Penkovsky A.I., Nikolaev V.F., Borovkova N.S. New optical methods and devices for analyzing the quality of motor fuels. Journal of Optical Technology, 2016, vol. 83, no. 4, pp. 244–248. DOI: https://doi.org/10.1364/JOT.83.000244

10. Venzel’ V.I., Gorelov A.V., Egorova E.S., Kuznetsova N.Ya., Lavrent’ev, E.S. Obraztsov V.S., Sinel’nikov M.I. Monitoring the optical homogeneity of materials for the IR region. Journal of Optical Technology, 2014, vol. 81, no. 9, pp. 551–555. DOI: https://doi.org/10.1364/JOT.81.000551

11. Deck L. Multiple surface phase-shifting interferometry. Proc. SPIE 4451, Optical Manufacturing and Testing IV, 2001, pp. 424–431. DOI: https://doi.org/10.1117/12.453640

12. Divyanin N.N., Rukosueva E.A., Garmash A.V., Beklemishev M.K. Recognition of model analyte mixtures in the presence of blood plasma using a mixture of fluorophores ("Fluorescent tongue"). Journal of Analytical Chemistry, 2018, vol. 73, pp. 1195–1201. DOI: https://doi.org/10.1134/S1061934818120043

13. Bhargava R. Infrared Spectroscopic Imaging: The Next Generation. Applied Spectroscopy, 2012, vol. 66, no. 10, pp. 1091–1120. DOI: 10.1366/12-06801

14. SHrejder YU.A. Logika znakovyh sistem: elementy semiotiki [Logic of sign systems: elements of semiotics]. Moscow, Librocom Publ., 2012, 64 p.

15. Alekseev V.A., Dizendorf K.I., YUran S.I. [Classifier of pulse curves using ratio matrices]. Intellektual'nye sistemy v proizvodstve [Intelligent systems in manufacturing], 2010, no. 1(15), pp. 231–235 (in Russian).

16. Yannikov I.M., Alekseev V.A. [Construction of a classifier of lattice functions for a relative description of the results of biomonitoring of potentially dangerous objects]. Intellektual'nye sistemy v proizvodstve [Intelligent systems in manufacturing], 2009, no. 2(14), pp. 10–13 (in Russian).

17. Alekseev V.A., Usoltsev V.P., Yuran S.I., Shulmin D.N. [An automated system of volley water pollution control by optical methods]. Vestnik Permskogo nacional'nogo issledovatel'skogo politekhnicheskogo universiteta. Prikladnaya ekologiya. Urbanistika [PNRPU. Applied ecology. Urban development], 2018, no. 3, рр. 119–132 (in Russian). DOI: 10.15593/2409-5125/2018.03.10


Review

For citations:


Alekseev V.A., Yuran S.I., Usoltsev V.P., Shulmin D.N. System of Laser Monitoring of Water Pollution with Application of Relative Description of Signal Shape. Devices and Methods of Measurements. 2020;11(2):114-121. https://doi.org/10.21122/2220-9506-2020-11-2-114-121

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ISSN 2220-9506 (Print)
ISSN 2414-0473 (Online)