基于无人机测绘的虚拟仿真教学系统设计与实践  

Design and practice of virtual simulation teaching system based on UAV surveying and mapping

作　　者：张莞玲[1] 马晶[1] ZHANG Wanling;MA Jing(Xi’an Aeronautical Polytechnic Institute,Xi’an 710089,China)

机构地区：[1]西安航空职业技术学院,西安710089

出　　处：《自动化与仪器仪表》2025年第2期294-298,共5页Automation & Instrumentation

基　　金：2023年度陕西省高等职业教育教学改革研究青年专项项目《建构主义视域下航空类高水平专业群数字化升级路径研究与实践》(23ZY002);陕西省“十四五”教育科学规划2022年度课题《行业标准引领与岗位人才需求导向下高职航空装备类专业课程开发应用》(SGH22Y1622);校级课题《职业教育数字化转型下专业升级改造的路径和机制研究》(22XHJG-04)。

摘　　要：为了向学生提供无人机测绘课程的训练与实践平台,设计了一种基于无人机测绘的虚拟仿真教学系统。首先,对仿真系统的整体结构进行设计;其次,构建无人机测绘所需的虚拟场景建模,在此基础上,采用基于Dijkstra算法的航迹规划方法,并利用遗传算法对其进行再优化,获取无人机测绘的最佳路径;第三,对无人机的运行策略进行设计,使系统拥有无人机自主飞行完成测绘、学生依靠键盘等外部设备对无人机进行操控、拥有历史数据可以对学生训练实践效果进行评估的功能。基于Dijkstra算法的航迹规划方法验证,结果表明经过遗传算法再优化后,航迹更加平滑,路径更短,具有有效性。系统测试结果显示,设计的虚拟仿真教学系统能够让学生对无人机测绘课程进行训练与实践,具有可行性。In order to provide students with a training and practice platform for UAV surveying and mapping courses,a virtual simulation teaching system based on UAV surveying and mapping was designed.Firstly,the overall structure of the simulation system is designed,secondly,the virtual scene modeling required for UAV surveying and mapping is constructed,on this basis,the trajecto-ry planning method based on Dijkstra algorithm is adopted,and the genetic algorithm is used to re-optimize it to obtain the best path of UAV surveying and mapping;thirdly,the operation strategy of UAV is designed,so that the system has UAV autonomous flight to complete surveying and mapping,and students rely on external equipment such as keyboards to control UAVs.It has a function that can evaluate the effectiveness of students’training practices with historical data.The verification results of the track planning method based on Dijkstra algorithm show that the track is smoother and the path is shorter after the genetic algorithm is re-optimized,which is effective.The system test results show that the virtual simulation teaching system designed in this paper can enable students to train and practice UAV surveying and mapping courses,which is feasible.

关 键 词：无人机 教学系统 仿真平台 遗传算法 航迹规划 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]