摘要
为解决传统船舶航行避碰效果不佳的问题,对物联网感知层查询树算法在舰船避碰系统中的应用情况进行分析。通过对舰船避碰系统结构框架进行分析,采集船舶航行参数及船舶最佳航行路线。基于参数采集结果,进一步对舰船避碰系统中的物联网感知层查询树算法性能进行优化,实现对舰船避碰系统的有效控制,保证船舶航行安全。最后通过实验证实,物联网感知层查询树算法在舰船避碰系统中的应用,对船舶航行具有更加精确有效的控制效果,充分满足研究要求。
In order to solve the problem that the traditional ship navigation collision avoidance effect is not good, this paper analyzes the application of the Internet of things perception layer query tree algorithm in the ship collision avoidance system. Through the analysis of the structural framework of the ship collision avoidance system, the navigation parameters and the best route of the ship are collected. Based on the results of parameter collection, the performance of the query tree algorithm in the perception layer of the Internet of things in the ship collision avoidance system is further optimized to realize the effective control of the ship collision avoidance system and ensure the safety of ship navigation. Finally, it is proved by experiments that the application of the Internet of things perceptual layer query tree algorithm in ship collision avoidance system has more accurate and effective control effect on ship navigation, which fully meets the research requirements.
作者
戚伟慧
QI Wei-hui(Hangzhou Wanxiang Polytechnic,Hangzhou 310023,China)
出处
《舰船科学技术》
北大核心
2020年第12期37-39,共3页
Ship Science and Technology
基金
2016年浙江省教育厅科研课题资助项目(Y201636783)
关键词
物联网感知层查询树算法
舰船
避碰系统
应用方法
Internet of things perceptual layer query tree algorithm
ship
collision avoidance system
application method
