基于KML的通航飞行路径评估优化平台设计
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摘要
为提高通用航空飞行的安全性、经济性,设计并实现一套通航飞行计划路径评估与优化平台。通过解析飞行计划获得用于优化飞行路径的基本数据,利用复杂多约束A*算法优化飞行路径,评估优化前后飞行路径并实现评估数据可视化,使用读写KML文件的方式传递和保存数据,将Google Earth嵌入软件平台作为地理信息系统,通过载入KML文件实现飞行路径和评估参数的可视化显示。测试结果表明,采用该方法设计和实现的通航飞行计划路径评估与优化平台可优化出更满足通航飞行需求的飞行路径。
A general aviation flight plan path evaluation and optimization platform was designed and implemented to improve the safety and economy of general aviation flight.The flight plan was parsed to get basic information for optimizing the flight path.The A star algorithm in complex multi-constrains conditions was employed to optimize the flight path.The optimized and the original flight path were evaluated respectively and related data were visualized.Data were transferred and saved through reading and writing KML files.These KML files were transferred to Google Earth,which was used as a GIS,to achieve the three-dimensional visualization of the flight path.The test results show that the flight path planning and optimization platform designed and implemented using the proposed method can optimize the flight path which further satisfies the general aviation flight demand.
A general aviation flight plan path evaluation and optimization platform was designed and implemented to improve the safety and economy of general aviation flight.The flight plan was parsed to get basic information for optimizing the flight path.The A star algorithm in complex multi-constrains conditions was employed to optimize the flight path.The optimized and the original flight path were evaluated respectively and related data were visualized.Data were transferred and saved through reading and writing KML files.These KML files were transferred to Google Earth,which was used as a GIS,to achieve the three-dimensional visualization of the flight path.The test results show that the flight path planning and optimization platform designed and implemented using the proposed method can optimize the flight path which further satisfies the general aviation flight demand.
引文
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[3]Civil Aviation University of China.A flight plan acceptance system and its control method for general aviation flight[P].China:CN2014103127979.7,2014(in Chinese).[中国民航大学.一种适用于通用航空飞行的飞行计划受理系统及控制方法[P].中国:CN2014103127979.7,2014.]
[4]MA Yabing.Research on flight plan evaluation technique and its implementation for general aviation[D].Tianjin:Civil Aviation University of China,2016(in Chinese).[马亚冰.通用航空飞行计划评估技术及实现方法研究[D].天津:中国民航大学,2016.]
[5]ZHANG Yi,DING Xiaoguang,YU Jiatao.3D dynamic demonstration of earthquake source using keyhole markup language[J].China Earthquake Engineering Journal,2014,36(4):1122-1125(in Chinese).[张艺,丁晓光,于嘉涛.基于KML的地震震源三维动态演示[J].地震工程学报,2014,36(4):1122-1125.]
[6]WANG Xiaoliang,MA Yabing,WANG Peng,et al.Vertical profile planning method for general aviation flight in complex multi constraints conditions[J].Journal of Beijing University of Aeronautics and Astronautics,2016,42(6):1126-1133(in Chinese).[王晓亮,马亚冰,王鹏,等.复杂多约束条件通航飞行垂直剖面规划方法[J].北京航空航天大学学报,2016,42(6):1126-1133.]
[7]FERIYANTO N,SALEH C,FAUZI A,et al.The route analysis based on flight plan[C]//IOP Conference Series:Materials Science and Engineering.IOP Publishing,2016.
[8]WU Wenjiao,ZHANG Shifang,ZHAO Shangmin.Analysis and comparison of SRTM1DEM and ASTER GDEM V2data[J].Geo-Information Science,2017,19(8):1108-1115(in Chinese).[武文娇,章诗芳,赵尚民.SRTM1DEM与ASTER GDEM V2数据的对比分析[J].地球信息科学学报,2017,19(8):1108-1115.]
[9]Hight charts options reference[EB/DL].[2017-04-30].http://api.highcharts.com/highcharts.
[10]JIANG Kuan,GONG Xiaopeng.Google Maps and Google Earth development details[M].Beijing:Publishing House of Electronics Industry,2010:220-409(in Chinese).[江宽,龚小鹏.Google API开发详解:Google Maps与Google Earth双剑合璧[M].北京:电子工业出版社,2010:220-409.]