Year: 2025
Type: article
Abstract: With the continuous advancement of marine scientific research, the technologies for marine data collection and analysis have rapidly evolved, opening up new avenues for innovation. Traditional marine data collection methods are increasingly unable to meet the demands of complex marine environments, particularly when it comes to issues such as data accuracy, real-time processing, and extensive coverage, all of which present numerous challenges. Modern technologies, such as autonomous underwater vehicles (AUVs), sensor technologies, and multi-source data fusion, have significantly enhanced the quality of marine data acquisition. Additionally, advancements in data analysis techniques, particularly in big data processing, machine learning, and spatiotemporal analysis, have provided robust support for in-depth marine data interpretation. However, challenges such as ensuring data quality, maintaining real-time processing, and addressing privacy and security concerns remain critical issues that require urgent resolution. This paper delves into the innovative methods and applications of marine data collection and analysis, focusing on technological progress and practical challenges while proposing corresponding solutions.
Authors: Shan Zhang, Songlin Zhang, Xiaofei Li, Daoyuan Chen, Yubai Zhang
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Life below water
Open Access status: diamond
OpenAlex ID: W4408762147