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Automatic cables segmentation from a substation device based on 3D point cloud

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Abstract

The point cloud segmentation of a substation device attached with cables is the basis of substation identification and reconstruction. However, it is limited by a number of factors including the huge amount of point cloud data of a substation device, irregular shape, unclear feature distinction due to the auxiliary point cloud data attached to the main body of a device. Therefore, the segmentation efficiency of a substation device is very low. In order to improve the accuracy and efficiency of the point cloud segmentation, this paper proposes a method to segment the attached cables point cloud of a substation device by using the shape feature of point cloud. Firstly, according to the spatial position of the point cloud of a substation device, octree is used to conduct voxelization of the point cloud, and the point cloud resampling is operated according to point cloud density of each voxel, so as to reduce original point cloud data and improve computing efficiency. Then Mean Shift algorithm is used to locate the center axis of the point cloud, and cylinder growth method is used to initially segment cables data and locate the end of each cable. Finally, points of the end are used as seed points to carry out a region growth based on shape feature of the point cloud to realize effective segmentation of cables data. In the experiment, 303 sets of point cloud of devices are selected, including circuit breaker, voltage transformer, transformer, etc. The final result shows that the successful segmentation rate of this method reaches 95.34%, which effectively proves the feasibility of this method.

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Acknowledgements

This work was supported by National Natural Science Funds of China (62173309).

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Authors and Affiliations

  1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, People’s Republic of China

    Qianjin Yuan, Jing Chang, Yong Luo, Tianlei Ma & Dongshu Wang

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  1. Qianjin Yuan
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  2. Jing Chang
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  3. Yong Luo
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  4. Tianlei Ma
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  5. Dongshu Wang
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Correspondence to Yong Luo.

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Yuan, Q., Chang, J., Luo, Y. et al. Automatic cables segmentation from a substation device based on 3D point cloud. Machine Vision and Applications 34, 9 (2023). https://doi.org/10.1007/s00138-022-01358-y

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