10.14489/td.2024.11.pp.026-033

2024, 11 November

DOI: 10.14489/td.2024.11.pp.026-033

Kulikova O. A., Trofimenko A. O., Plugotarenko N. K.
ORGANIZATION OF PRODUCTION ENVIRONMENT CONTROL USING THE FUZZY LOGIC MODEL
(pp. 26-33)

Abstract. To organize control of the production environment and monitor the dynamics of labor safety indicators in metallurgical production, a model for a comprehensive assessment of working conditions using fuzzy logic has been developed. The following linguistic variables were selected as input data, which correspond to harmful factors: “noise”, “non-carcinogenic risk” and “vibration”. When creating input data in the MATLAB software environment in the Fuzzy Logic Designer application, a combination of the most sensitive and stable membership functions zmf ‒ pimf ‒ smf was used. To implement the model for a comprehensive assessment of working conditions, the Mamdani algorithm was used. The paper presents the results of using the model to assess the quality of the working environment in the workplace. Conclusions were drawn about the use of the model as one of the auxiliary methods for monitoring the level of workplace safety, and a comparative analysis of the results was carried out with data from cards of special assessment of working conditions. All conclusions in the work were obtained by deductive method.

Keywords: noise, vibration, non-carcinogenic risk, metallurgical production, fuzzy logic, Mamdani algorithm.

+ - About the Authors Click to collapse

O. A. Kulikova, A. O. Trofimenko, N. K. Plugotarenko (Federal State Autonomous Educational Institution of Higher Education “Southern Federal University”, Taganrog, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

1. Isachkin V. V. (2011). Professional risks in metallurgy. Spravochnik spetsialista po ohrane truda, (1). Retrieved from https://www.trudcontrol.ru/press/publications/532/professionalnie-riski-v-metallurgii (Accessed: 05.06.2024). [in Russian language]
2. Chebotaryov A. G., Kur'erov N. N. (2020). Hygienic assessment of noise and vibration affecting workers of mining enterprises. Gornaya promyshlennost', (1), 148 ‒ 153. [in Russian language]
3. Karasev P. I., Al'-Rammahi A. A. H., Gromov Yu. Yu., Minin Yu. V (2021). Organization of computer vision systems based on the application of fuzzy set theory methods. Pribory i sistemy. Upravlenie, kontrol', diagnostika, (5), 22 ‒ 26. [in Russian language]
4. Tagirov V. K., Tagirova L. F. (2021). Using the Mamdami method when creating intelligent teaching systems based on a fuzzy model of knowledge representation. Problems and prospects for the implementation of innovative telecommunication technologies: a collection of materials from the VII International Scientific and Practical Inperson and Correspondence Conference, 513 – 525. Orenburg: Orenburgskiy filial Povolzhskogo gosudarstvennogo universiteta telekommunikatsiy i informatiki. [in Russian language]
5. Sanzhapov B. H., Muradov A. A. (2012). Model of decision-making when ensuring environmental safety of the development of urban areas. Izvestiya Volgogradskogo gosudarstvennogo tekhnicheskogo universiteta, 97(10), 135 ‒ 139. [in Russian language]
6. Rogachev A. F., Shevchenko A. A., Kuz'min V. A. (2013). Assessing the environmental and economic safety of industrial enterprises using fuzzy logic methods. Trudy SPIIRAN, 30(7), 77 ‒ 87. [in Russian language]
7. Tselyh A. N., Tselyh L. A., Prichina O. S. (2014). Fuzzy logic methods in production process management. Izvestiya YuFU. Tekhnicheskie nauki, 150(1), 111 ‒ 119. [in Russian language]
8. Assessing the risk to public health from exposure to traffic noise. (2011). Electronic fund of legal, regulatory and technical documents. Methodological recommendations No. MR 2.1.10.0059-12 Retrieved from https://docs.cntd.ru/document/1200095849 (Accessed: 05.06.2024). [in Russian language]
9. Quantitative assessment of non-carcinogenic risk from exposure to chemicals based on the construction of evolutionary models. (2012). Electronic fund of legal, regulatory and technical documents. Methodological recommendations No. MR 2.1.10.0062-12. Retrieved from https://docs.cntd.ru/document/1200095225 (Accessed: 05.06.2024). [in Russian language]
10. Ovrum A., Skandfer M., Syurin S. A. et al. (2012). European and Russian methods for assessing general vibration among drivers of heavy-duty mining dump trucks. Ekologiya cheloveka, (10), 11 ‒ 15. [in Russian language]
11. National standard of the Russian Federation. Condition monitoring and diagnostics of machines. Vibration monitoring of machine condition. Part 2. Processing, analysis and presentation of vibration measurement results. (2009). Standard No. GOST R ISO 13373-2‒2009. Retrieved from https://docs.cntd.ru/document/1200077664 (Accessed: 05.06.2024). [in Russian language]
12. Руководство Р 2.2.2006‒05 2.2. Occupational hygiene. Guidelines for hygienic assessment of working environment and labor process factors. Criteria and classification of working conditions. (2005). Manual No. R 2.2.2006‒05 2.2. Retrieved from https://docs.cntd.ru/document/1200040973 (Accessed: 05.06.2024). [in Russian language]
13. Mamdani algorithm in fuzzy inference systems. Retrieved from https://habr.com/ru/post/113020 (Accessed: 05.06.2024). [in Russian language]

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