Abstract: Aiming at solving the problem of online automatic recognition and thermal diagnosis of electrical devices, this paper proposes an online automatic device recognition and diagnosis method based on the stitched thermal panorama. Firstly, we collect some thermal infrared images of the scene and stitch them based on SIFT to construct the thermal panorama in an offline fashion. The categories of devices in the scene are further manually annotated. Secondly, given a thermal image captured online, we locate and identify the devices of this thermal image by utilizing the feature matching algorithm, and then effectively diagnose these devices based on their categories. Finally, experiments on the real substation scenarios demonstrate the effectiveness and practicability of the proposed approach.

Key words: infrared online monitoring, thermal panorama, feature matching, automatic recognition, automatic diagnosis