基于模糊评价模型的民用机场无人机监测系统评估方法

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。

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

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.