摘要
为了提高航班和保障车辆的安全性,提出了一种基于数字孪生的新型航班保障预警系统架构。数字孪生系统中包括机场的物理世界、赛博空间的仿真模型以及实时数据。系统可以根据当前作业状况,预测保障活动未来会出现的风险情况。详细介绍了航班保障的规则,仿真模型的设计开发,如何实现保障车辆和航班数据的实时采集,以及潜在碰撞风险的预测。为了验证预警逻辑和算法的有效性,在Anylogic平台进行系统开发和仿真实验,实验结果表明:所提出的架构可以对车辆和航班进行在线预警,保障运营安全。
In order toimprove the safety of flights and support vehicles,a new architecture of flight support early warning system based on digital twins was proposed.The digital twin system consisted of three parts of the physical world of airport,the simulation model of cyberspace and the real-time data.Online forecasting was made in real time for the coming operation risk,based on current operation data.The rules for flight support vehicles and the architecture design of the simulation model were described in detail,which explained how the resolution algorithm worked for preventing potential conflicts through real time data collection from vehicles and flights.To validate the validity of the architecture,the prototype system was development on Anylogic platform.The simulation results show that the proposed architecture can provide online warning information for vehicles and flights,safequard operation security.
作者
王红微
杨鹏
靳慧斌
曹益铭
WANG Hong-wei;YANG Peng;JIN Hui-bin;CAO Yi-ming(Key Laboratory of Computer Vision and System of the Education Ministry of China,Tianjin University of Technology,Tianjin 300384,China;National Key Laboratory of Air Traffic Operation Safety Technology,Civil Aviation University of China,Tianjin 300300,China)
出处
《科学技术与工程》
北大核心
2020年第24期9954-9962,共9页
Science Technology and Engineering
基金
国家自然科学基金青年科学基金(61603396)
中国民航局安全能力专项(TMSA2017-246-1/2)。
关键词
数字孪生
航班保障
监控预警
在线仿真
digital twins
flight support
monitoring and warning
online simulation
