Method for constructing infrared imaging dataset of gas leakage based on computational fluid dynamics

Abstract

A method for constructing an infrared imaging dataset of gas leakage based on computational fluid dynamics includes steps of: establishing a three-dimensional physical model of a gas leakage field scene; meshing and simulating based on the computational fluid dynamics to obtain leaking gas mole fractions of each mesh under time steps, and constituting three-dimensional gas concentration data corresponding to each frame; using optical gas imaging based on a pinhole camera model, imaging the three-dimensional gas concentration data to obtain initial images, and calculating gas concentration path-lengths corresponding to pixel points in each frame of the initial images; and performing maximum-minimum value normalization and generating grayscale images, thereby constructing the infrared imaging dataset of the gas leakage. The method can not only be used in leakage classification tasks and localization tasks, but can also be used in training tasks related to the leakage concentration.