Application of artificial intelligence in preventing and minimizing discharges of oily water from ships
Abstract
The paper proposes to integrate artificial intelligence into the marine ecosystem monitoring model to assess the impact of oil discharges on the water resources of the Russian Federation. The methodology is aimed at improving the accuracy of research, preventing environmental crises and simplifying the processes of data collection and analysis using machine learning methods. Continuous evaluation and updating of data contribute to the effective application and integration of information for the rapid response of relevant authorities to crisis situations in the marine ecosystem. Such a proposal is promising in the future, affects the latest technologies and various areas of interaction such as programming, planning, the technical potential of the State, legislative regulation at various levels of government, will expand jobs, minimize the human factor, and the costs associated with eliminating the consequences of oil pollution of the aquatic environment.
About the Author
Andrey Yurievich Kazantsev
Volga State University of Water Transport
Russian Federation
Russian Federation
postgraduate student of the department of environmental protection and industrial safety of the department of environmental protection and transport security (direction 26.06.01)
References
1. Golovatskaya L.I., Plastinin A.E., Borodin A.N. et al. Informatsionno-analiticheskaya podderzhka meropriyatii po preduprezhdeniyu i likvidatsii razlivov nefti i nefteproduktov. Otsenka razmerov vreda vodnomu ob"ektu, Svidetel'stvo o gosudarstvennoi registratsii programmy dlya EHVM № 2023683871 Rossiiskaya Federatsiya, EDN IIIZDX.
2. Golovatskaya L.I., Plastinin A.E., Borodin A.N., Vorob'eva A.S. Baza dannykh po istochnikam razlivov nefti i nefteproduktov, Svidetel'stvo o gosudarstvennoi registratsii bazy dannykh № 2023623610 Rossiiskaya Federatsiya, EDN ITXKIK.
3. Golovatskaya L.I., Borodin A.N., Plastinin A.E. Otsenka ploshchadi neftyanogo zagryazneniya pri razlivakh gazovogo kondensata v Kaspiiskom more, Morskie intellektual'nye tekhnologii, 2023, no. 2-1 (60), рр. 315–319, doi 10.37220/MIT.2023.60.2.039, EDN MEQVPB.
4. O Strategii razvitiya informatsionnogo obshchestva v Rossiiskoi Federatsii na 2017–2030 gody, Ukaz Prezidenta RF ot 09.05.2017 no. 203. Available at: https://www.consultant.ru/document/cons_doc_LAW_216363
5. Mezhdunarodnaya konventsiya po predotvrashcheniyu zagryazneniya s sudov 1973 goda, izmenennaya Protokolom 1978 goda k nei (MARPOL 73/78) (s izmeneniyami na 17 fevralya 1978 goda) Available at: https://docs.cntd.ru/document/901764502
6. Plan upravleniya sudovymi otkhodami v morskom portu. Available at: https://triptonkosti.ru/13-foto/plan-upravleniya-sudovymi-othodami-v-morskom-portu-92-foto.html (accessed 20.03.2024).
7. Ditsevich Ya.B., Karnaukh D.V., Tol'zak A.E. Primenenie iskusstvennogo intellekta v reshenii ehkologicheskikh problem sovremennosti, Teoriya gosudarstva i prava, 2023, no. 2 (31), рр. 50–64. doi 10.25839/MATGIP_2023_2_50, EDN MMGGND.
8. Fatkhutdinova D. Mashinnoe obuchenie, Unisender. Available at: https://www.unisender.com/ru/glossary/chto-takoe-machinnoe-obuchenie/#anchor-1 (accessed 11.03.2024).
9. O razvitii iskusstvennogo intellekta v Rossiiskoi Federatsii, Ukaz Prezidenta RF ot 10.10.2019 № 490. Available at: https://www.consultant.ru/document/cons_doc_LAW_335184
10. Mityagina M.I., Lavrova O.Yu., Bocharova T.Yu. Sputnikovyi monitoring neftyanykh zagryaznenii morskoi poverkhnosti, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, vol. 12, no. 5, рр. 130–149, EDN UZNDRL.
11. Iskusstvennyi intellekt dlya bol'shikh dannykh. Available at: https://www.qlik.com/us/augmented-analytics/big-data-ai (accessed 11.11.2023).
12. Statisticheskie modeli v informatike: osnovnye ponyatiya, primenenie i primery. Available at: https://nauchniestati.ru/spravka/statisticheskie-modeli-v-informatike/ (accessed 11.03.2024).
13. O Strategii natsional'noi bezopasnosti Rossiiskoi Federatsii, Ukaz Prezidenta RF ot 02.07.2021 no. 400. Available at: https://www.consultant.ru/document/cons_doc_LAW_389271
14. O Strategii ehkonomicheskoi bezopasnosti Rossiiskoi Federatsii na period do 2030 goda, Ukaz Prezidenta RF ot 13.05.2017 no. 208. Available at: https://www.consultant.ru/document/cons_doc_LAW_216629
15. Mezhdunarodnyi Kodeks po okhrane sudov i portovykh sredstv ot 12.12.2002. Available at: https://docs.cntd.ru/document/902019001 (accessed 11.03.2024).
16. Mezhdunarodnaya Konventsiya po okhrane chelovecheskoi zhizni na more 1974 goda SOLAS 74. Available at: https://docs.cntd.ru/document/901765675 (accessed 11.03.2024).
17. Klyachenkov A.A. Iskusstvennyi intellekt i ego vliyanie na okhranu okruzhayushchei sredy, Aktual'nye issledovaniya, 2021. no. 2 (29), рр. 63–66. Available at: https://apni.ru/article/1767-iskusstvennij-intellekt-i-ego-vliyanie (accessed 13.03.2024)
18. Khodzhaeva D.F., Omonov A.A., Tugizboev F.U. Problemy, s kotorymi mozhno stolknut'sya pri vnedrenii iskusstvennogo intellekta, Nauka, tekhnika i obrazovanie, 2021, no. 5 (80). Available at: https://cyberleninka.ru/article/n/problemy-s-kotorymi-mozhno-stolknutsya-pri-vnedrenii-iskusstvennogo-intellekta (accessed 13.03.2024).
Review
For citations:
Kazantsev A.Yu. Application of artificial intelligence in preventing and minimizing discharges of oily water from ships. Kaspijskij nauchnyj zhurnal. 2024;2(1):стр. 9-20. (In Russ.)
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