Research Progress on Key Technologies for Deep-Sea Big Data Processing

In recent years, the diversified development of deep-sea exploration technology has accumulated massive data resources for deep-sea scientific research. As a field-specific branch of marine big data, deep-sea big data (DSBD) is dedicated to the complex data of deep-sea environment and seabed area. Several deep-sea large databases (DSLD) have been established at home and abroad as important support platforms for deep-sea big data application and research. In order to cope with the challenges of deep-sea big data in terms of huge volume, multi-source, multi-modal, complex noise and uneven spatial-temporal distribution, as well as to promote the development of the convergence application of deep-sea big data. This paper provides a detailed introduction to the typical deep-sea large databases both domestically and internationally. From the three core stages of data cleaning, data integration and standardization, and data analysis, it systematically explores the challenges, basic strategies, and key technological advancements in deep-sea big data processing. This paper points out the future development trend of deep-sea big data processing technology in the direction of intelligence, collaboration and systematization.