3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition
Zhiyong CHEN, Jinglin HAN, Yang LIU, Guangyi LI, Yu JIANG, Ruitian CAI
Economic Research Institute State Grid Corporation of China (China) Shanghai Electric (China) North China Electric Power University
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摘要与影响
A digital reconstruction scheme for power grid facilities based on video keyframe extraction and image recognition is proposed. Shoot a video sequence of the facility to be reconstructed through a mobile homework terminal, extract key frames from the video, and use YOLOv5 network to recognize and extract anchor frames of power facilities to remove environmental background, constructing an image set; Then, based on the principle of motion recovery structure, 3D reconstruction is carried out, and an improved directional fast rotation algorithm is proposed to improve the accuracy of camera pose calculation. Thereby achieving the reconstruction of 3D models of power grid facilities; Finally, taking common transformers in the power grid as an example, it is verified that the proposed method can effectively complete the 3D model reconstruction of power facilities.
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