Navigation safety evaluation of offshore wind farm waterway based on variation coefficient cloud matter element model

Yi Feng

doi:10.1117/12.3023855

9 April 2024 Navigation safety evaluation of offshore wind farm waterway based on variation coefficient cloud matter element model

Yi Feng

Author Affiliations +

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 129890B (2024) https://doi.org/10.1117/12.3023855
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

Although offshore wind power engineering has significant economic and social benefits, it is relatively close to navigable waters and will become a permanent navigation obstacle in the waters after completion, which will have a significant impact on the navigation safety of nearby ships. It may even cause collisions between ships and wind power engineering maintenance ships or wind turbines, resulting in significant casualties and economic losses. In this paper, on the basis of analysing the factors affecting the navigation safety of the shipping lanes near offshore wind farms, we establish the index system for evaluating the navigation safety level of the shipping lanes around offshore wind farms, and use the coefficient of variation algorithm, the cloud model theory, and the physical element topology theory to construct a model for evaluating the navigation safety level of the shipping lanes around offshore wind farms. This study can provide a reference for future offshore wind farm siting research on the evaluation of navigational safety.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yi Feng "Navigation safety evaluation of offshore wind farm waterway based on variation coefficient cloud matter element model", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 129890B (9 April 2024); https://doi.org/10.1117/12.3023855

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