Zhou Chao, Huang Chi, Huang Longyang, Xie Chuanjiang, Zhu Xingyu, Huang Tao
Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, China.
College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.
Sensors (Basel). 2024 Jan 16;24(2):553. doi: 10.3390/s24020553.
With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles' needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores the lateral safety spacing in a mixed operation mode of unmanned aerial vehicles and manned aircraft. Currently, there are no standardized regulations for the safe spacing of the fusion operation of unmanned and manned aircraft. Theoretical research is essential to provide a reference for actual operations. It introduces the UM-Event (unmanned and manned aircraft-event) collision risk model, an adaptation of the Event collision risk model, considering factors like communication, navigation, surveillance performance, human factors, collision avoidance equipment performance, and meteorology. Safety spacing was determined via simulation experiments and actual data analysis, adhering to the target safety level (TSL). Findings indicate that surveillance performance has a minor impact on safety spacing, while communication and navigation significantly influence it. The safety spacing, influenced solely by CNS (communication performance, navigation performance, surveillance performance) and combined factors, increased from 4.42 to 4.47 nautical miles. These results offer theoretical guidance for unmanned aerial vehicle safety in non-segregated airspace.
随着无人机技术的快速发展及其在各个领域的应用不断增加,当前空域资源已无法满足无人机的需求。本文以四川自贡通用机场为例,探讨无人机与有人驾驶飞机混合运行模式下的侧向安全间距。目前,对于无人机与有人驾驶飞机融合运行的安全间距尚无标准化规定。理论研究对于为实际运行提供参考至关重要。它引入了UM-Event(无人机与有人驾驶飞机事件)碰撞风险模型,该模型是对Event碰撞风险模型的改编,考虑了通信、导航、监视性能、人为因素、防撞设备性能和气象等因素。通过模拟实验和实际数据分析,遵循目标安全水平(TSL)确定安全间距。研究结果表明,监视性能对安全间距影响较小,而通信和导航对其有显著影响。仅受CNS(通信性能、导航性能、监视性能)和综合因素影响的安全间距从4.42海里增加到4.47海里。这些结果为非隔离空域中的无人机安全提供了理论指导。