The article focuses on the development of innovative ship automation systems aimed at enhancing the efficiency, reliability, and environmental safety of marine vessels. It examines modern approaches to designing such systems, including the application of intelligent control algorithms, digital twins, and machine learning technologies. Laboratory and field tests were conducted, confirming the effectiveness of the developed solutions. Data is presented on reductions in energy consumption, improved operational reliability, and decreased greenhouse gas emissions. The paper discusses prospects for further advancements in ship automation technologies, considering global requirements and standards set by the International Maritime Organization (IMO).
sudovye sistemy avtomatizacii, intellektual'nye algoritmy, mashinnoe obuchenie, cifrovye dvoyniki, energoeffektivnost', ekologicheskaya bezopasnost', avtomatizaciya sudov
1. Belyakov, A. V. Sistemy avtomatizacii sudov: Uchebnoe posobie / A. V. Belyakov, Yu. V. Shevchenko. — SPb.: Sudostroenie, 2017. — 340 s.
2. Dement'ev, N. I. Sovremennye tehnologii avtomatizacii sudov / N. I. Dement'ev, P. V. Kozlov. — M.: Mashinostroenie, 2020. — 256 s.
3. Shelehov, V. I. Energeticheskie sistemy sudov: ekspluataciya i avtomatizaciya / V. I. Shelehov. — Vladivostok: Morskaya akademiya, 2019. — 412 s.
4. SNAME (Society of Naval Architects and Marine Engineers). Marine Engineering Handbook. 4th Edition. — New York: SNAME, 2016. — 876 p.
5. Wang, Z., Zhang, T., & Wei, H. A Review of Intelligent Ship Automation Systems Based on Machine Learning Algorithms // Ocean Engineering. — 2022. — Vol. 248.
6. DNV GL. Maritime Forecast to 2050: Energy Transition Outlook 2023. — Høvik: DNV GL, 2023. — 192 p. — Available at: https://www.dnv.com.
