Zhang, Zhaoyue (Civil Aviation University of China), Chaohui, Feng (Civil Aviation University of China), WANG, Zhisen (Civil Aviation University of China,College of Air Traffic Manage), Li, Shanmei (Civil Aviation University of China, College of Air Traffic Manag), Qingjun, Xia (Civil Aviation University of China)

UAV Flight Risk Identification and Evaluation Scheme

Scheduled for presentation during the Regular Session "Micro- and Mini- UAS I" (ThB4), Thursday, September 3, 2020, 16:20−16:40, Naousa

2020 International Conference on Unmanned Aircraft Systems (ICUAS), September 1-4, 2020 (Postponed from June 9-12, 2020), Athens, Greece

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

To achieve flight risk identification and assessment in the new field of UAVs, two index systems of risk prediction and safety evaluation are constructed in this work by categorizing the set of UAV flight risks, and the identification subset is set according to the UAV characteristics and use. Risk identification elements are set for the identification subset, and the qualitative attributes of risk identification elements are quantified by set-valued statistics. A general quantitative model for the flight risk identification of UAVs is established. According to the different flight risk factors, UAV flight risks are categorized, the fuzzy comprehensive evaluation method is adopted, and case data are used to quantitatively evaluate different types of risks. Finally, the application of the techno-economic evaluation method to the feasibility evaluation of the UAV flight risk prevention scheme is proposed to provide support for UAV flight risk management.