基于模糊评价模型的民用机场无人机监测系统评估方法

doi:10.18306/dlkxjz.2021.09.009

Abstract

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

YANG Rui, LIU Yang. Evaluation method based on fuzzy assessment model for unmanned aerial vehicle detection system in civil airports[J].PROGRESS IN GEOGRAPHY, 2021, 40(9): 1540-1549.

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References 25

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

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