Dynamic Integration and Analysis of Marine Environmental Monitoring Data Based on Support Vector Machine

Abstract

Environmental problems are worldwide problems. We must pay attention to the pollution problems facing the ocean today. It not only changes the quality of the ocean, but also has a great impact on the seafood products planted in the ocean. The basic purpose of marine environmental monitoring is to comprehensively, timely and accurately grasp the level, effect and trend of the impact of human activities on the marine environment. According to the actual needs of application services, the spatio-temporal analysis mode and related evaluation model suitable for the characteristics of the marine environment are discussed and studied, and the time and space analysis of monitoring data suitable for system construction and related evaluation techniques are applied and analyzed. By merging the data sets with different performance formats and using the unified monitoring database format as the blueprint, the processing technologies such as data format conversion, measurement unit conversion and monitoring parameter standardization are dynamically carried out. Finally, the same monitoring elements of different monitoring tasks are dynamically merged into a data set in batches, which provides a prerequisite for data quality control and warehousing. The emergence of support vector machine brings hope and convenience to the research. It has a set of perfect theoretical knowledge. On the basis of this set of perfect theory, it can achieve good learning effect. The data quality is mainly guaranteed through completeness inspection, quality control of station basic information and quality control of station monitoring parameter data.