Construction of real-time model of airport fire truck fire pump based on improved neural network with visual simulation

Lishan Jia; Zhipeng Xia; Qingyi Mo

doi:10.1117/12.2642672

28 July 2022 Construction of real-time model of airport fire truck fire pump based on improved neural network with visual simulation

Lishan Jia, Zhipeng Xia, Qingyi Mo

Author Affiliations +

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123032I (2022) https://doi.org/10.1117/12.2642672
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

In the airport fire truck driving training simulator, aiming at the prediction of fire extinguishing agent trajectory of airport fire truck, a fire fighting operation visual simulation model is proposed. Firstly, the real-time simulation model of airport fire truck fire pump system based on neural network is established. After simplified design, the real-time performance of the system is guaranteed. Secondly, particle system and texture mapping technology are used to simulate fire extinguishing agent. Finally, the MFC application is used to establish the view simulation model of the airport fire truck driving training simulator by combining the fire fighting operation of the fire truck, and the data refreshing of the fire pump under different speed is realized through the human-computer interaction interface. Experimental simulation shows that the model has the characteristics of strong real-time and high fidelity, and meets the requirements of airport fire truck driving training simulator.

Citation Download Citation

Lishan Jia, Zhipeng Xia, and Qingyi Mo "Construction of real-time model of airport fire truck fire pump based on improved neural network with visual simulation", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123032I (28 July 2022); https://doi.org/10.1117/12.2642672

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