Work

3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition

Year: 2024

Type: article

Abstract: 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.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.11930/j.issn.1004-9649.202306018

Authors: Zhiyong CHEN, Jinglin HAN, Yang LIU, Guangyi LI, Yu JIANG, Ruitian CAI

Institutions: State Grid Corporation of China (China), State Grid Hebei Electric Power Company, North China Electric Power University

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: green

OpenAlex ID: W6903577654

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