doi: 10.7763/IJMO.2023.V13.821
Study on Dynamic Prediction and Visualization Simulation of Fire Temperature Field Based on UAVs
Wenjiang Chen
1,2,3,*
,
,
,
,
,
Jiaoyang Liu
2
- 1 Shenzhen Urban Public Safety and Technology Institute, Shenzhen 518046, China; Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, Shenzhen, Guangdong, 518038, China.
- 2 Changshu Institute of Technology, Suzhou 215500, China.
- 3 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
- 4 Nanchang University, Nanchang 330031, China.
Abstract
In the process of petrochemical fire rescue, temperature is an important reference index, which can be used to analyze the possibility of domino accident and tank collapse. A method for predicting temperature field by bicubic spline interpolation is proposed in this paper. It collects data from unmanned aerial vehicles (UAVs), and the accuracy of prediction is influenced by the sampling strategy. It's not that the more UAV routes are, the higher the overall prediction accuracy of temperature field will be. And the smaller the data interval, the more conservative the prediction results in the high- temperature zones.
Keywords
- cubic spline interpolation
- unmanned aerial vehicles (UAVs)
- temperature field prediction
- image similarity
How to Cite
Wenjiang Chen, Jie Wang, Zhaoji Hu, Diping Yuan, Jinxing Hu, and Jiaoyang Liu, "Study on Dynamic Prediction and Visualization Simulation of Fire Temperature Field Based on UAVs," International Journal of Modeling and Optimization, vol. 13, no. 1, pp. 32-38, 2023. https://doi.org/ 10.7763/IJMO.2023.V13.821
Copyright & License
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).