App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 2

Conductor completion method based on point cloud statistical calibration for catenary fitting

Lan Jiawei
Wang Jinming
Zhang Fei
Li Zhonghu
School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou Nei Mongol 014010, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0191

Abstract

Existing completion methods for morphological defects induced by conductor breakage in transmission line LiDAR point clouds suffer from insufficient accuracy and poor adaptability to incomplete scenarios. To address these problems, this paper proposed a lightweight completion method based on a statistically calibrated catenary model. The method first extracted the lower-edge features of the conductor from the local visible point clouds and robustly estimated the measured sag using the percentile method. Then, taking the catenary equation as the geometric basis, the method automatically calibrated the model parameters in a data-driven manner to generate a continuous completion line satisfying the hard endpoint constraints. Experimental results show that in a real transmission line scenario with a span of 223 meters, the relative error of the reconstructed conductor sag is no more than 1%, and all indicators are better than the engineering allowable limit of ±5%. Without requiring deep learning training, the method is computationally efficient and can provide high-precision geometric support for digital twin and intelligent operation and maintenance of transmission lines.

Foundation Support

国家自然科学基金资助项目(62161042)
内蒙古自治区科技计划项目(2025YFHH0061)
内蒙古自然科学基金资助项目(2024LHMS06002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0191
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 2

Publish History

[2026-10-24] Accepted Paper

Cite This Article

兰家伟, 王金明, 张飞, 等. 基于点云统计校准的悬链线拟合导线补全方法 [J]. 计算机应用研究, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0191. (Lan Jiawei, Wang Jinming, Zhang Fei, et al. Conductor completion method based on point cloud statistical calibration for catenary fitting [J]. Application Research of Computers, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0191. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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