Research on retrieval and matching methods in scenario library

Huixin Zhang; Yongfang Lai; Weiqi Huang

doi:10.1117/12.2631841

14 April 2022 Research on retrieval and matching methods in scenario library

Huixin Zhang, Yongfang Lai, Weiqi Huang

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217811 (2022) https://doi.org/10.1117/12.2631841
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

Retrieval and matching are important steps in the reasoning of the Scenario Library, which can be used to obtain historical scenarios similar to the target scenarios and their disposal methods, and provide reference and guidance for the rescue work of the target emergencies. Determining an effective retrieval strategy is the prerequisite for the reasoning of the Scenario Library, and then the weights of the scenario elements and attributes are determined through the cloud computing method and the expert scoring method, which lays the foundation for the similarity calculation. Finally, the structure, attributes, and comprehensive similarity are calculated separately to obtain the historical scenario that is most similar to the target scenario, and the Scenario Library retrieval work is completed. The proposed retrieval and matching method can be applied to different types of scenario libraries to help solve different practical problems.

Citation Download Citation

Huixin Zhang, Yongfang Lai, and Weiqi Huang "Research on retrieval and matching methods in scenario library", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217811 (14 April 2022); https://doi.org/10.1117/12.2631841

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