Research on damage level evaluation model of military airport based on Dynamic Bayesian network

Haoliang Xie; Qingyu Cai; Duo Zhang; Haiyang Sun; Xiaoan Tang

doi:10.1117/12.2668055

20 April 2023 Research on damage level evaluation model of military airport based on Dynamic Bayesian network

Haoliang Xie, Qingyu Cai, Duo Zhang, Haiyang Sun, Xiaoan Tang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126022T (2023) https://doi.org/10.1117/12.2668055
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

By applying the dynamic Bayesian network theory, a dynamic Bayesian network evaluation model is established according to the structure, damage level and functional characteristics of military airport buildings. Based on the construction of the airport model, a Bayesian network diagram for evaluating the damage effect of military airport buildings is established by using the powerful inference function of dynamic Bayesian network. On the basis of determining the damage evaluation network nodes of military airport, the network structure and network parameters are determined. The simulation experiment verifies the correctness and effectiveness of the calculation. This model can not only evaluate the damage of the whole airport building, but also evaluate the damage effect of the airport building structure and other facilities. It provides scientific assessment for the decision makers' flexible strike methods and strike tasks.

Citation Download Citation

Haoliang Xie, Qingyu Cai, Duo Zhang, Haiyang Sun, and Xiaoan Tang "Research on damage level evaluation model of military airport based on Dynamic Bayesian network", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126022T (20 April 2023); https://doi.org/10.1117/12.2668055

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