无人机性能检测方法研究

    Research on Performance Testing Methods for Unmanned Aerial Vehicles

    • 摘要: 无人机作为一种多用途的飞行器,广泛应用于大地与海洋气候监测与预报、森林虫害与火种监测与救治、农业虫害监测和治理、地质灾害监测与预警、地矿储存探寻与定位、人员失联搜寻与搜救、国防安全及智能化集群表演等。无人机的稳定性、可靠性及安全性是提供预报、预警、救治、探寻及救治结果的保障。随着无人机事业蓬勃发展,无人机性能良莠不齐,有必要对无人机性能实施检测。结合当前国内外无人机相关标准,对影响无人机飞行稳定、数据传输可靠、导航定位精准及气候环境和电器环境的适应能力等关键要素进行梳理分析,研究检测方法,为无人机在不同的环境条件下安全可靠顺利完成指令目标提供性能检测依据。

       

      Abstract: Unmanned aerial vehicles (UAVs), as versatile aircraft, are widely used in various applications, including monitoring and forecasting of land and marine climate, monitoring and treatment of forest pests and fires, monitoring and control of agricultural pests, monitoring and warning of geological disasters, exploration and positioning of geological and mineral storage, search and rescue of missing persons, national defense security, and intelligent cluster performances. The stability, reliability, and safety of UAVs are essential for providing accurate forecasting, early warning, treatment, exploration, and rescue results. With the rapid development of the UAV industry, the performance of UAVs varies greatly, making it necessary to implement performance testing. Combining current domestic and international UAV-related standards, this article analyzes key factors that affect UAV flight stability, reliable data transmission, precise navigation and positioning, and adaptability to climatic and electrical environments. It explores testing methods and provides a performance testing basis for UAVs to safely and reliably complete command objectives under different environmental conditions.

       

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