摘要： 随着近海渔业资源日渐稀缺，渔船捕捞范围不断扩大，渔船在特定区域附近作业过程中，由于驾驶舱内船舶自动识别系统（AIS）与雷达易受外界环境因素影响，所获海上数据信息误差较大，且驾驶舱内缺少出入该特定区域的相关报警提醒导致海上事故频发的问题日益凸显。亟待开发一种特定区域管控系统，为特定区域附近作业渔船提供报警提醒。研究了渔船驾驶舱AIS与雷达的信息融合理论，模拟基于凸组合航迹融合算法的信息融合过程。设计了一种基于YimaEnc海图引擎构建的特定区域管控系统，为特定区域附近作业渔船提供了一种更精确的海上信息以及监控管理、越界报警等功能。试验结果显示，该系统初步解决了海上渔船位置信息精度低，缺少特定区域航行出入时的必要监管、报警等问题。该研究成果可以为加强海上渔船管控，提高渔船驾驶安全性提供参考。

关键词: 渔船, 助航设备, 信息融合, 凸组合航迹融合算法, YimaEnc海图引擎, 渔船管理

Abstract: As the offshore fishery resources getting increasingly scarce, the fishing scope has been expanding unceasingly. During fishing operations near a specific zone , due to the fact that cockpit navigation AIS and radar are susceptible to external factors, the sea data obtained are low in accuracy, and lacking of access of the cockpit to warning alarms reminding of the specific area leads to the higher frequency of accidents at sea. It is urgent to develop a specific zone control system to provide warning for fishing boats operating nearby. Therefore in this paper, the information fusion theory of AIS and radar in fishing boat cockpit was studied, and the information fusion process based on convex combined track fusion algorithm was simulated. A specific zone control system based on YimaEnc chart engine was designed, which could provide a more accurate maritime information with monitor management and transgressions alarm functions. According to the experiment results, with this system, problems including low accuracy of fishing boats position information at sea and lack of necessary supervision and alarm when sailing in and out of specific zones have been preliminarily solved. The research will provide references for strengthening the control of fishing vessels at sea and improving the safety of fishing vessels.

Key words: fishing boats, Navigational AIDS, information fusion, convex combined track fusion algorithm, YimaEnc chart engine, fishing boats management