Research on Detection and Analysis of Marine Ecological Environment Based on Big Data

Abstract

Facing the integration of multi-source and heterogeneous massive data, traditional integration methods and technologies cannot be realized until the emergence of big data technology. The application of big data technology to realize the integration of multi-source heterogeneous marine environment monitoring data is conducive to the sharing of marine environment monitoring data, avoids the emergence of information islands, and provides the required data for data analysis and mining. Therefore, the thesis is based on the research of the marine environment pollution information intelligent image monitoring technology as the core, and analyses the marine environment pollution information intelligent image monitoring technology, including intelligent digital remote sensing technology, reasonable use of water quality transmitters, comparative analysis of big data, etc. Based on this, a more in-depth analysis of the testing of information intelligent image monitoring technology is carried out.