高压电器2026，Vol.62Issue(3)：1-7,7.DOI:10.13296/j.1001-1609.hva.2026.03.001
基于虚拟红外双目视觉的GIS三维温度场重构
Reconstruction of Three-dimensional Temperature Field in GIS Based on Virtual Infrared Binocular Vision
摘要
Abstract
Infrared thermography is an important means of temperature rise detection for GIS(gas insulated switch-gear).Infrared thermography devices on site mostly use infrared or infrared-visible two-dimensional imaging meth-ods,which are insufficient for characterizing the spatial thermal distribution of GIS.In this paper,based on a monocu-lar infrared camera,an adversarial neural network(GAN)is used as a virtual infrared thermal imaging camera with lateral parallax,and then a 3D reconstruction of the GIS temperature field is achieved through physical and virtual in-frared binocular visual stereo matching.The 1017 pairs of original IR binocular dataset containing different angles is collected by performing temperature rise tests of GIS under different currents and using zhang's calibration method to calibrate the physical and virtual camera positions.The image collected by the monocular infrared camera is used as the left image input,and the pix2pixHD image generation frame is used as the virtual infrared camera to generate the right image.The SGM(semi-global matching)stereo matching algorithm is used to match the original image with the generated image and to obtain the computed parallax map,thus achieving 3D reconstruction by solving the 3D co-ordinates in accordance with the parallax map.The result shows that the FID(fréchet inception distance)of the im-age generated by pix2pixhd image conversion framework on the test set can reach 55.136,the perceptual loss can reach 0.079,the structure similarity index measure can reach 0.926 and the peak signal-to-noise ratio can reach 27.387.The virtual binocular camera can reach the accuracy of physical binocular camera,which provides an effec-tive method for achieving economical and efficient 3D temperature field reconstruction of GIS and improving the reli-ability of temperature inspection results.关键词
对抗神经网络/气体绝缘金属封闭开关设备/双目视觉/三维重建/虚拟摄像头Key words
adversarial neural network/gas insulated switchgear/binocular vision/3D reconstruction/virtual camera引用本文复制引用
陈晓坤,林熠,吕朝伟,刘江,关向雨..基于虚拟红外双目视觉的GIS三维温度场重构[J].高压电器,2026,62(3):1-7,7.基金项目
福建省自然科学基金面上项目(2020J01509). Project Supported by General Program of Fujian Natural Science Foundation(2020J01509). （2020J01509）
