船舶避碰系统感知层关键数据查询算法  

Key data query algorithm of ship collision avoidance system in sensing layer

作　　者：曹敏 苏玉 CAO Min;SU Yu(Zhengzhou University of Technology,Zhengzhou 450044,China)

机构地区：[1]郑州工程技术学院,河南郑州450044

出　　处：《舰船科学技术》2021年第18期61-63,共3页Ship Science and Technology

基　　金：河南省新工科研究与实践项目(2020JGLX087);河南省大数据双创基地(20174101546503022265)

摘　　要：针对当前使用的基于遍历算法、遗传算法受到感知层冗余数据影响,导致查询结果不精准。针对该问题,在船舶避碰系统下,使用感知层关键数据查询算法。构建关键数据聚类目标函数,结合模糊聚类分析技术处理感知层关键数据,缩短查询时间。利用查询树算法解析数据,并通过建立识别子标签,分配关键数据,由此设计关键数据查询流程。通过实验对比结果可知,该算法查询的对地航向信息、对地航速、航迹向和航行状态与实际信息一致,误差为0,具有精准查询结果。The current travers-based algorithm and genetic algorithm are affected by the redundant data of the perceptual layer,which leads to inaccurate query results.Faced with this problem,the key data query algorithm of the perceptual layer is used in the ship collision avoidance system.The key data clustering objective function is constructed,and the key data of perception layer is processed with fuzzy clustering analysis technology to shorten the query time.The query tree algorithm is used to parse the data,and the key data is allocated by establishing the identification sub-label,so the key data query process is designed.Through the experimental comparison results,it can be seen that the ground-to-ground heading information,ground-to-ground speed,track direction and navigation state queried by this algorithm are consistent with the actual information,and the error is 0,so it has accurate query results.

关 键 词：船舶避碰系统 感知层 关键数据 查询树 模糊聚类 

分 类 号：TN92[电子电信—通信与信息系统]