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Study of Base Segmenting Algorithm of Substation Equipment Based on 3D Point Cloud

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Abstract

Introduction

Segmenting affiliated facilities from the point cloud is the key of 3D identification of the equipment.

Methods

This paper proposes a method to segment an equipment’s base from the equipment according to the change trend of the horizontally-projected areas of the layers formed by layering the equipment, thereby reducing the workload of manual segmentation of the base and improving the efficiency of intelligent identification of substation equipment. At the same time, the paper improves Iterative Closest Point (ICP) algorithm by using ICP error to jump out early of the iteration process of ICP, to reduce the iteration steps and shorten the matching time.

Results

The experimental results show that the identification rate of substation equipment is greatly improved by the base segmenting algorithm.

Conclusion

The improved ICP algorithm significantly shortens the identification time, and has little impact on the identification rate.

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Acknowledgements

This work was supported by Industry-Uni.-Research Collaboration Project of Henan province (Grant no. 152107000058), Young Teacher Foundation of Henan province (Grant no. 2015GGJS-148), and the Science and Technology Key Project of Henan province (Grant no. 152102210036).

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Authors and Affiliations

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

    Pengshuai Wang & Yong Luo

  2. Avic Xinhang Yubei Steering System (Xinxiang) CO., LTD., Xinxiang, People’s Republic of China

    Weiying Guo

Authors
  1. Pengshuai Wang
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  2. Yong Luo
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  3. Weiying Guo
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Corresponding author

Correspondence to Yong Luo.

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Wang, P., Luo, Y. & Guo, W. Study of Base Segmenting Algorithm of Substation Equipment Based on 3D Point Cloud. J. Electr. Eng. Technol. 14, 505–517 (2019). https://doi.org/10.1007/s42835-018-00008-6

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  • DOI: https://doi.org/10.1007/s42835-018-00008-6

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