为使驾驶员能够识别出航道存在的危险,确保船舶航行安全,研究虚拟环境下船舶安全航行路径智能规划仿真方法。在虚拟环境下,基于船舶航道高程信息,利用连续极小泛函序列方法获取船舶航行航道等距网格数据,利用对象图像渲染引擎处理航道网格数据,得到航道地形模型。利用Solid Works软件,通过创建基准面、生成船舶船体型线以及构建船体曲面模型等过程生成船舶三维模型。根据生成的航道地形模型与船体模型,提出适用于三维空间路径规划的空间分层路径规划方法,通过逆向逐步搜索路径过程得到船舶安全航行路径规划结果。实验结果显示,该方法生成的航道地形与船体模型较为完善,路径规划过程中能够有效躲避固定障碍物与移动障碍物,既保障船舶航行安全性又确保航程最短。
In order to enable drivers to identify the dangers present in the waterway and ensure the safety of ship navigation, an intelligent planning and simulation method for ship safe navigation path in a virtual environment is studied. In a virtual environment, based on the elevation information of ship navigation channels, the continuous minimum functional sequence method is used to obtain equidistant grid data of ship navigation channels, and the object image rendering engine is used to process the channel grid data to obtain the channel terrain model. Using Solid Works software, generate a three-dimensional model of a ship by creating a reference plane, generating ship hull lines, and constructing a ship surface model. Based on the generated channel terrain model, a spatial layered path planning method suitable for three-dimensional spatial path planning is proposed, and the results of ship safe navigation path planning are obtained through the reverse step-by-step search path process. The experimental results show that the channel terrain and ship model generated by this method are relatively complete, and can effectively avoid fixed and moving obstacles during the path planning process, ensuring both the safety of ship navigation and the shortest voyage.
2023,45(23): 198-201 收稿日期:2023-09-05
DOI:10.3404/j.issn.1672-7649.2023.23.038
分类号:TP391
基金项目:江西省教育厅科技项目(GJJ2202621)
作者简介:李传军(1985-),男,硕士,讲师,研究方向为虚拟现实、图形图像、3DMax设计及工业设计等
参考文献:
[1] 冯珂, 张本伟. 复杂气象海况条件下船舶航行安全辨识及航行优化方法[J]. 中国航海, 2022, 45(3): 1-6.
FENG Ke, ZHANG Benwei. Ship Navigation Safety Identification and Optimization under Complex Sea and Weather Conditions[J]. Navigation of China, 2022, 45(3): 1-6.
[2] 韩成浩, 马吉林, 刘佳仑, 等. 基于虚拟仿真测试平台的船舶智能航行系统设计及应用[J]. 中国航海, 2023, 46(1): 148-154.
HAN Chenghao, MA Jilin, LIU Jialun, et al. Virtual test platform in design and application of intelligent navigation system[J]. Navigation of China, 2023, 46(1): 148-154.
[3] 刘晨霞, 朱大奇, 周蓓, 等. 海流环境下多AUV多目标生物启发任务分配与路径规划算法[J]. 控制理论与应用, 2022, 39(11): 2100-2107.
LIU Chenxia, ZHU Daqi, ZHOU Bei, et al. A novel algorithm of multi-AUVs task assignment and path planning based on biologically inspired neural network for ocean current environment[J]. Control Theory & Applications, 2022, 39(11): 2100-2107.
[4] 潘伟, 董其林, 许小卫, 等. 考虑通航环境因素的智能船舶航线规划[J]. 上海海事大学学报, 2021, 42(3): 76-84.
PAN Wei, DONG Qilin, XU Xiaowei, et al. Route planning of intelligent ships considering navigation environment factors[J]. Journal of Shanghai Maritime University, 2021, 42(3): 76-84.
[5] 杨琪森, 王慎执, 桑金楠, 等. 复杂开放水域下智能船舶路径规划与避障方法[J]. 计算机集成制造系统, 2022, 28(7): 2030-2040.
YANG Qisen, WANG Shenzhi, SANG Jinnan, et al. Path planning and real-time obstacle avoidance methods of intelligent ships in complex open water environment[J]. Computer Integrated Manufacturing Systems, 2022, 28(7): 2030-2040.