Abstract
In modern society, with the rapid increase of population and the serious shortage of resources, the marine environment has been destroyed; there are also many people who go out to sea without permission, regardless of the legal constraints, fishing. This kind of behavior leads the marine environment to get worse and worse, so the real-time monitoring of the marine environment is very necessary. The main article marine environment monitoring, virtual reality technology, and fuzzy C-means clustering algorithm combine to improve the efficiency of monitoring and processing power of the data information. Through the application of virtual reality technology in the marine environment monitoring base and real-time simulation of the dynamics of the ocean, the monitoring personnel can understand the emergencies on the sea in time; the fuzzy C-means clustering algorithm is applied to the server receiving the data to classify the data. It is found in the experiment that when virtual reality technology and fuzzy C-means clustering algorithm are not used, the data of marine environment monitoring takes more than 1.3 s to return to the server, but, after applying two advanced technologies, the return efficiency is greatly improved, and the time consumed is less than 0.82 s. The results show that virtual reality technology and fuzzy C-means clustering algorithm can improve the efficiency of environmental monitoring, and through virtual reality technology, real-time monitoring of the marine environment can be achieved; in the absence of people out to sea, the actual situation on the sea can be clearly understood; and fuzzy C-means clustering algorithm can improve the speed of data processing, so that the monitoring personnel can solve the problem faster.
Highlights
With the development of the national economy and the increasing frequency of man-made marine activities, our coastal areas are facing major problems such as water quality degradation, environmental degradation, reduced sustainable use capacity, serious pollution, and eutrophication
Is article mainly studies the impact of virtual reality and fuzzy C-means clustering algorithm on marine environment monitoring. e purpose is to use modern advanced virtual reality technology and fuzzy C-means clustering algorithm to provide a more convenient way for marine environment monitoring and improve the efficiency and accuracy of monitoring, thereby reducing the damage to the marine environment
In view of the problems of untimely information processing and slow data analysis in the current marine environment monitoring process, the application of virtual reality technology and fuzzy C-means clustering algorithm in it can effectively improve the speed of data analysis
Summary
With the development of the national economy and the increasing frequency of man-made marine activities, our coastal areas are facing major problems such as water quality degradation, environmental degradation, reduced sustainable use capacity, serious pollution, and eutrophication. Przeslawski believes that marine seismic exploration is a basic tool for geological research, including the exploration of marine oil and gas resources, but the sound produced during these explorations is a source of noise pollution in the marine environment He applied case studies on the impact of marine earthquakes to key assessments of the strengths and challenges of field-based methods in the context of future research and management priorities. E innovation of this paper is to combine the fastestgrowing virtual reality technology with the widely used fuzzy cmeans clustering algorithm in the computer field, so as to provide a good management plan for marine environment inspectors and a solid technical support for the country in marine management It expands the application scope of these two technologies. It expands the application scope of these two technologies. e solid technical backing, in turn, has expanded the application of these two technologies
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