Transmission Line Multi‐Fitting Detection Method Based on Implicit Space Knowledge Fusion

Aiming at the tiny-size and dense occlusion problem in the transmission line multi-fitting detection task, a transmission line multi-fitting detection method based on Implicit Spatial Knowledge Fusion (ISKF) is proposed. First, in order to mine the implicit spatial knowledge between transmission line fittings to assist the model in detection, the spatial box setting module and the spatial context extraction module are proposed to set the spatial box and extract the spatial context information. Then, the spatial context memory module is designed to filter and remember the spatial context information for assisting the location of multi-fitting detection model. Finally, the post-processing part of the model is improved to further alleviate the low detection accuracy problem caused by dense occlusion fittings. The experimental results show that the proposed model has a promotion effect on the detection of various kinds of fittings, especially for tiny-size fittings and dense occlusion fittings. Compared with the baseline model, the AP50 evaluation index and the more stringent AP75 evaluation index have increased by 3.5% and 5.7%, respectively. It lays a foundation for the application of fitting detection and further fault diagnosis.