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A-SMGCS V级系统中机载场面告警算法
引用本文:陈柯帆,汤新民,胡钰明,陈强超.A-SMGCS V级系统中机载场面告警算法[J].西华大学学报(自然科学版),2022,41(2):12-19.
作者姓名:陈柯帆  汤新民  胡钰明  陈强超
作者单位:1.南京航空航天大学民航学院, 江苏 南京 211106
基金项目:国家自然科学基金项目(61773202、52072174);四川省科技计划项目(2018JZ0030);中国民航管理干部学院民航通用航空运行重点实验室开放基金(CAMICKFJJ-2019-04);国防科技重点实验室基金(6142505180407)
摘    要:针对目前机场场面的监控主要通过人工及目视辅助设备实现的不足,同时为了减轻管制员与飞行员的负担,提高机场场面的运行效率,提出一种自动化场面告警探测算法:基于高级场面活动引导与控制系统(A-SMGCS)中的监视源数据,对滑行道冲突、起降跑道长度不足2种情形实现自动化的告警探测与提示。针对与他机目标冲突告警问题,提出基于速度矢量法的潜在冲突判断算法;针对起降跑道长度不足告警问题,提出实时计算起降所需跑道长度的运动学模型。最后搭建仿真环境模拟真实的飞机场面滑行,为模型提供监视源数据,以对算法进行验证。验证结果表明:告警响应均在警情发生的0.5 s内,无虚警、漏警,符合预期结果;该算法是可行的。

关 键 词:空中交通管理    机载场面告警    滑行道冲突    起降跑道不足
收稿时间:2021-08-25

Research on Airborne Surface Warning Algorithm in A-SMGCS V System
CHEN Kefan,TANG Xinmin,HU Yuming,CHEN Qiangchao.Research on Airborne Surface Warning Algorithm in A-SMGCS V System[J].Journal of Xihua University:Natural Science Edition,2022,41(2):12-19.
Authors:CHEN Kefan  TANG Xinmin  HU Yuming  CHEN Qiangchao
Affiliation:1.College of Civil Aviation, Nanjing University of Aeronautics & Astronautics, Nanjing 210016 China
Abstract:At present, the monitoring of airport scenes is mainly achieved through manual and visual auxiliary equipment, and the purpose of this paper is to study the automated scene warning detection algorithm, which can reduce the burden of controllers and pilots and improve operational efficiency under the premise of ensuring the safety level. Based on the monitoring source data provided by the advanced scene activity guidance and control system (A-SMGCS), the algorithm model automates the alarm detection and prompt for taxiway collision and take-off and landing runway length. In view of the problem of warning of conflict with the target of his machine, the potential conflict judgment algorithm based on the speed vector method is proposed, and the kinetic model of calculating the runway length required for take-off and landing is proposed in real time. The algorithm is verified, the simulation environment is constructed to simulate the real plane scene taxiing, and the monitoring source data is provided for the model. It has been proved that the alarm response is within 0.5 seconds of the police situation, no false alarm leakage, in line with the expected results, indicating the feasibility of the algorithm.
Keywords:
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