Research on Key Technologies of Spatial-temporal Analysis and Prediction of Marine Ecological Environment Based on Internet of Things

Abstract

With the rapid development of economy and the continuous progress of science and technology, China has more and more activities in the development and utilization of marine resources, and puts forward higher requirements for marine environment monitoring technology. The Internet of things is an important part of the new generation of information technology and represents the latest achievements in the development of the world information industry. Marine Internet of things is one of the research hotspots in various marine fields. It is very necessary to balance the relationship between marine development and marine ecological protection. At present, there is a big gap between China’s marine regional ecological monitoring level and developed countries. With its high availability, Internet of things technology is rapidly applied to the fields of logistics and environmental monitoring, especially in the field of ecological environment monitoring, which greatly improves the scientificity and effectiveness of monitoring. This paper studies the application of Internet of things technology in ecological environment monitoring, and how to realize the development of environmental protection industry and the scientization and rationalization of environmental monitoring, further improve the management means of ecological environment monitoring, and promote the development of environmental protection in China. With its high availability, Internet of things technology is rapidly applied to the fields of logistics and environmental monitoring, especially in the field of ecological environment monitoring, which greatly improves the scientificity and effectiveness of monitoring. Based on the development of Internet of things technology, this paper realizes the real-time transmission and analysis of the collected data, and finally completes the dynamic evaluation of marine regional ecosystem.