Research on UAV safety risk assessment and early warning based on SEM-MFCE

Weiguang Cao

doi:10.1117/12.2685917

28 July 2023 Research on UAV safety risk assessment and early warning based on SEM-MFCE

Weiguang Cao

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127563E (2023) https://doi.org/10.1117/12.2685917
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

With the development of the economy and society and the application of big data, UAVs have significantly been developed and widely used, but it also brings some security risks. In order to study the risk factors affecting the safety of UAVs and make a timely risk assessment and early warning, this paper establishes a UAV safety risk assessment and early warning model. First, the unsafe flight cases of UAVs are analyzed using grounded theory to determine the main risk factors. Then, we designed questionnaires to collect data, and structural equation models were used to determine the path coefficients of each risk factor affecting the safety of UAV flight. Finally, a multilevel fuzzy comprehensive evaluation method was used to establish a UAV safety risk evaluation and early warning model. The study shows an apparent correlation between personnel, environment, equipment, management factors, and the safety of UAV operations. The risk assessment and early warning model established by fully considering the interaction of these factors can enrich the research on UAV safety risk assessment and early warning and help provide constructive suggestions for developing this industry.

Citation Download Citation

Weiguang Cao "Research on UAV safety risk assessment and early warning based on SEM-MFCE", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127563E (28 July 2023); https://doi.org/10.1117/12.2685917

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