Study on Dynamic Prediction and Visualization Simulation of Fire Temperature Field Based on UAVs

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.