一种改进的A-SMGCS机场场道清扫引导系统OA
随着我国国民经济水平的不断提升,越来越多的人们选择乘坐飞机出行.日益增多的航班量也给机场场道(跑道、滑行道、机坪)清扫工作提出更多的挑战.目前机场场道清扫方式主要为人工驾驶清扫车辆进行排查清扫,但是这种方式存在清扫作业与航空器运行的冲突风险,场道全宽清扫作业难度大,清扫质量不能保证的弊端.为消除弊端,该文运用树莓派进行系统开发,采用Python语言,在A-SMGCS系统中开发场道清扫模块,包括路径行驶方案规划模块、场道避障及循迹模块、灯光识别模块等,最终实现清扫系统的优化,使其自动规划清扫路径,避免与航空器运行冲突,提高清扫车的清扫效率.
With the continuous improvement of our national economy,more and more people choose to travel by air.The increasing number of flights also poses more challenges to the cleaning of airport runways(runways,taxiways,aprons).At present,the way of cleaning the airport road is mainly for manually driven cleaning vehicles,but this method has the following disadvantages:There is a risk of conflict between the cleaning operation and the operation of the aircraft;the full-width cleaning operation of the airport road is very difficult,and the cleaning quality can not be guaranteed.In order to eliminate the above disadvantages,this paper uses raspberry pie to develop the system,uses Python language to develop the field road cleaning module in the A-SMGCS system,including the path driving scheme planning module,the field road obstacle avoidance and tracking module,light recognition module and so on,finally realizes the optimization of the cleaning system,so as to make it plan the cleaning path automatically,avoid the conflict with the aircraft operation,and improve the cleaning efficiency of the cleaning vehicle.
王娟;赵明明;赵佳宁;王鸿睿
山东航空学院 机场学院,山东 滨州 256600
环境科学
A-SMGCS系统场道清扫道路引导避障循迹机场滑行道
A-SMGCS systemfield road cleaningroad guidanceobstacle avoidance trackingairport taxiway
《科技创新与应用》 2024 (026)
46-49 / 4
2022年山东省大学生创新创业训练计划项目(S202210449021)
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