摘要
为了更高效地完成自动化运输航线规划,该文采用了一种基于数字孪生技术的方法,通过粒子探索分析了船只运输的最佳线路,采用免疫算法增加了粒子记忆库,避免了局部最优问题,结合数字孪生技术的关键方法构建了水域环境的仿真模型。通过应用效果测试得出,该文方法相较其他方法航线平滑度提升了8.83%~30.79%,并且路径规划效率提高了36.34%~63.08%。说明该文方法能较为准确地检测水体环境,并且结合仿真模型数据实现了对更优航线的预测。
Based on the goal of achieving more efficient automated transportation route planning,a method based on digital twin technology was studied and adopted.The optimal route for ship transportation was analyzed through particle exploration,and an immune algorithm was used to increase the particle memory to avoid local optima.A simulation model of the water environment was constructed using key methods of digital twin technology.Through application effect testing,it was found that the research method improved the smoothness of flight routes by 8.83%~30.79%compared to other methods,and the efficiency of path planning was 36.34%~63.08%higher.This indicates that the research method can accurately detect the water environment and combine simulation model data to achieve better route prediction.
作者
段吉鸿
亓振涛
DUAN Jihong;QI Zhentao(Yunnan Honghe Prefecture Water Conservancy and Hydropower Survey and Design Institute,Honghe 661000,China;Beijing Antaitong Automation Technology Co.,Ltd.,Beijing 100080,China)
出处
《电子设计工程》
2025年第5期40-44,50,共6页
Electronic Design Engineering
关键词
水利运输
数字孪生技术
粒子群算法
航线规划
water transportation
digital twin technology
particle swarm optimization algorithm
route planning
