2022
DOI: 10.1049/smt2.12131
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Research on 3D reconstruction technology of large‐scale substation equipment based on NeRF

Abstract: The high‐quality 3D model is the key to digital twin and visualization. Here, the neural radiation field (NeRF) is applied to greatly improve the speed and accuracy of 3D reconstruction of large‐scale substation equipment. The incremental SFM algorithm is used to accurately position the camera in open scenes, and the frame extraction experiment indicates that the single angle increment should not be greater than 8°. The reconstruction test is carried out on the power transformer and high‐voltage experimental e… Show more

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Cited by 5 publications
(3 citation statements)
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“…S(x, y) = σ xy + C 3 σ x σ y + C 1 (10) where µ denotes the mean, σ denotes the variance and C 1 , C 2 and C 3 denote the constants used to keep the formula stable; the σ x σ y in the above formula is calculated as follows:…”
Section: Evaluation Indicatorsmentioning
confidence: 99%
See 1 more Smart Citation
“…S(x, y) = σ xy + C 3 σ x σ y + C 1 (10) where µ denotes the mean, σ denotes the variance and C 1 , C 2 and C 3 denote the constants used to keep the formula stable; the σ x σ y in the above formula is calculated as follows:…”
Section: Evaluation Indicatorsmentioning
confidence: 99%
“…2024, 16, 473 2 of 23 made 3D solid building reconstruction a reality. However, existing tilt photogrammetrybased 3D reconstruction methods are slow and entail substantial time overheads [10]. Dense reconstruction, which involves matching all or most of the pixels in multiple images, demands extensive data processing and often redundant computations, resulting in an overall low reconstruction efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…NeRF in Substation Equipment: In the field of substation equipment, Shaotong Pei [8] has proposed the application of NeRF for the reconstruction of large-scale substation equipment. In the context of the digital twin architecture, data visualization plays a crucial role in displaying the sensing and simulation data through a 3D model of power equipment.…”
Section: Relat Workmentioning
confidence: 99%