An Improved Optimized Route Selection Method for a Maritime Navigation Vessel

An Improved Optimized Route Selection Method for a Maritime Navigation Vessel
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一种改进的海上航行船舶优化航线选择方法

DOI:
10.1007/978-3-030-78361-7_36
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发表时间:
2021
期刊:
Lecture Notes in Computer Science, Springer
影响因子:
--
通讯作者:
Sharath Srinivasamurthy and Yasunori Nihei
Sharath Srinivasamurthy and Yasunori Nihei
中科院分区:
--
文献类型:
--
作者:
Yutaro Tsurumi,Ryosuke Saga;Sharath Srinivasamurthy and Yasunori Nihei

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近年来,海洋测量一直由自动化的小船进行。许多进行测量的地方是近海养殖场,如牡蛎养殖场,水质测量是必不可少的。然而,这些海域存在浮标和木筏等许多障碍物,船只需要在巡逻路线上航行,以避开这些障碍物。此外,由于船舶的性能因扰动而改变,因此有必要考虑取决于海况的扰动,例如海浪和风。在这项研究中,通过在先前开发的巡逻路线建议系统中加入自动添加路点的程序,提高了避障性能。此外,利用Dijkstra fs算法从测量点之间的几条可能的避障路线中选择距离最短的路点。此外,为了对该系统进行实际的海上试验,在系统中引入了真实航行性能的数值。我们对改进后的系统进行了仿真,并验证了是否可以建议一条合适的避障巡逻路线。
In recent years, ocean measurements have been carried out by automated small vessels. Many of the places where measurement are taken are offshore farms such as oyster cultivation farm where water quality measurement is indispensable. However, there are many obstacles such as buoys and rafts in these sea areas, and vessels need to navigate the patrol route avoiding these obstacles. Furthermore, it is necessary to take disturbances such as waves and wind depending on the sea condition into consideration because the performance of the vessel changes due to the disturbances. In this research, the obstacle avoidance performance was improved by incorporating a program that automatically adds waypoints to the previously developed patrol route proposal system. In addition, waypoints with the shortest distance was selected from several possible obstacle avoiding routes between measurement points using Dijkstra fs algorithm. Furthermore, for the actual maritime test of this system, the values of the real sailing performance were introduced into the system. We simulated the improved system and confirmed whether an appropriate patrol route that avoids obstacles could be suggested.
DOI: 10.1007/978-3-030-50017-7_38
发表时间: 2020-07
期刊: --
影响因子: --
作者:
R. Saga;Zhipeng Liang;N. Hara;Y. Nihei
通讯作者: R. Saga;Zhipeng Liang;N. Hara;Y. Nihei