地理科学进展 ›› 2021, Vol. 40 ›› Issue (9): 1540-1549.doi: 10.18306/dlkxjz.2021.09.009

• 无人机运行监管 • 上一篇    下一篇

基于模糊评价模型的民用机场无人机监测系统评估方法

杨蕤1,2(), 刘洋1,2,*()   

  1. 1.中国民航管理干部学院,民航通用航空运行重点实验室,北京 100102
    2.浙江建德通用航空研究院,浙江省通用航空运行技术研究重点实验室,杭州 311600
  • 收稿日期:2020-12-31 修回日期:2021-04-27 出版日期:2021-09-28 发布日期:2021-09-28
  • 通讯作者: * 刘洋(1985— ),男,山西太原人,副教授,主要从事通用航空与无人机研究。E-mail: liuyang@camic.cn
  • 作者简介:杨蕤(1981— ),女,辽宁锦州人,研究员,主要从事通用航空与无人机研究。E-mail: yangrui@camic.cn
  • 基金资助:
    国家重点研发计划项目(2017YFB0503401);国家自然科学基金项目(71731001);国家自然科学基金项目(U1933130);国家自然科学基金项目(U1433203);国家自然科学基金项目(U1533119)

Evaluation method based on fuzzy assessment model for unmanned aerial vehicle detection system in civil airports

YANG Rui1,2(), LIU Yang1,2,*()   

  1. 1. CAAC Key Laboratory of General Aviation Operation, Civil Aviation Management Institute of China, Beijing 100102, China
    2. Zhejiang Key laboratory of General Aviation Operation Technology, General Aviation Research Institute of Zhejiang Jiande, Hangzhou 311600, China
  • Received:2020-12-31 Revised:2021-04-27 Online:2021-09-28 Published:2021-09-28
  • Supported by:
    National Key Research and Development Program of China(2017YFB0503401);National Natural Science Foundation of China(71731001);National Natural Science Foundation of China(U1933130);National Natural Science Foundation of China(U1433203);National Natural Science Foundation of China(U1533119)

摘要:

论文结合民用机场净空保护需求,针对无人机监测系统在民用机场的应用可行性和有效性进行定量评估。首先,深入分析了无人机监测系统的多维度评价指标,从系统的功能、性能、可靠性、安全性、可部署性5个评价维度设计了10个方面的系统特征,包括监测覆盖区域、有效探测距离、空间定位精度、俯仰精度、目标跟踪能力、即时性度量、报警提示置信程度、目标识别能力、可靠性度量、信息安全和可部署性度量等。然后,结合这10个系统评价特征,建立基于模糊集和模糊测度的综合评估模型,设计多类无人机监测设备在机场真实场景的实验验证。实验结果表明,该方法可有效度量无人机监测系统对民用机场的适用性和有效性等,对不同类型的技术具有较好的兼容性,评价结果对民用机场无人机监测系统选择具有较高的参考价值。

关键词: 无人机监测系统, 模糊集, 评估模型, 民用机场

Abstract:

In this study, the feasibility and effectiveness of unmanned aerial vehicle (UAV) detection system in civil airports were quantitatively evaluated according to the requirements of airport clearance management. First, multidimensional evaluation indicators were analyzed for UAV detection system, including the function, performance, reliability, safety, and deployability. Furthermore, ten system characteristics were considered for the evaluation, including monitoring coverage, effective detection range, spatial positioning accuracy, pitch accuracy, target tracking capability, real-time measurement, confidence degree of alerts, target recognition capability, reliability measure, information security, and deployability. By incorporating these ten characteristics, a comprehensive evaluation model was established based on fuzzy sets and fuzzy measures. The experimental results of multiple types of UAV detection system equipment were showed in real airport scenes. The results indicate that the proposed method can effectively measure the applicability and effectiveness of UAV detection system in civil airports, and has excellent compatibility with different types of technologies. The evaluation results can be well utilized for the selection of UAV detection system in civil airports.

Key words: UAV detection system, fuzzy set, evaluation model, civil airport