Adaptation Assessment Method for UUVs Driven by Marine Environment Data

Studying the comprehensive impact of various marine environmental factors on underwater unmanned vehicle (UUVs) is crucial for enhancing their operational efficiency. Addressing the complexities and variability of marine environmental factors, and the lack of fine-grained studies on regional adaptability, this paper proposes a marine environment data-driven method for assessing the adaptability of UUVs in marine areas. Based on an analysis of how marine environments affect the stealth, security, and operational applications of UUVs, seven key factors including water depth, currents, temperature, salinity, seabed topography, waves, and obstacles were selected to construct an evaluation index system. The CRITIC (Criteria importance through intercriteria correlation) method objectively quantifies the importance of marine environmental factors on UUVs, while the Weighted Rank-Sum Ratio (WRSR) method comprehensively assesses the adaptability of these systems to marine areas. The study explores the integrated impact of various marine environmental factors on the adaptability of UUVs. Using the South China Sea region as a case study, this paper evaluates the adaptability of UUVs across 100 marine areas, classifying them into five adaptability levels. The findings provide decision support for deployment planning of UUVs, potentially enhancing their operational efficiency to a significant extent.