| China is a large marine fisheries country and she has the world’s largest number of vessels. With the development of economy, the number of fishing vessels continue to increase.It will not only bring great economic benefits, but also more prominent various problems in the fishery law enforcement and maintain normal fishery production order field. The fishing vessels dynamic monitoring query and verification system, which is a new system and invention designed for the solution of the problems, can meet the needs of China’s fishery production. The system can be able to solve the fishing vessels’ problem of remote dynamic monitoring, query, verification, management and salvage.The mainly content of this paper introduce the methods about part function’s research and design of the fishing vessels dynamic monitoring system, including the data fusion of Radar information and Fishery radio information or AIS information, the arithmetic of the ship distinguish and indentify between fishing vessels, merchant ship and illegal vessels around the law enforcement ship and the query and verification methods of fishing vessels information.This paper use dynamic information fuzzy data fusion arithmetic in the part of data fusion units. The results of data fusion can help the law enforcement ship to distinguish and indentify fishing vessels, the merchant ships and other vessels. It can be to avoid the weakness of using radar, AIS and GPS to detect or track the target. The use of their information complementary features, the fisheries enforcement vessel can get the panoramic image around the own ship, Ship data after the data fusion improve the reliability. At last, contrasting fishing vessels information of the own ship received and the information from fishing vessels information database can identify this vessels’ legitimacy.This paper use Integrated Bridge System to simulation fishery law enforcement vessels and other four fishing vessels and use Visual Studio2008and SQL2005software to validate and implement the arithmetic and the system’s function. The results of the implementation proof the arithmetic in this paper is reasonable and right. |