Research and Practice of Multi-Sensor Fusion Technology in Intelligent Compression of Conductors and Ground Wires

This paper addresses the issues of precision and quality control in the intelligent compression process of conductors and ground wires by proposing a design scheme for an intelligent compression device based on multi-sensor fusion technology. By integrating the collaborative operation of high-precision laser distance sensors, tangential force sensors, axial force sensors, photoelectric sensors, encoders, torque sensors, and fixture force sensors, and combining Kalman filtering with deep learning fusion algorithms, high-precision monitoring and control of the compression process are achieved. Experimental results demonstrate that this solution significantly enhances compression quality and <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> efficiency, providing technical support for the intelligent transformation of the power industry.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11150008
Primary Topic
Bacterial Infections and Vaccines
Type
article
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article

Research and Practice of Multi-Sensor Fusion Technology in Intelligent Compression of Conductors and Ground Wires

Bacterial Infections and Vaccines
article

Research and Practice of Multi-Sensor Fusion Technology in Intelligent Compression of Conductors and Ground Wires

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Abstract

This paper addresses the issues of precision and quality control in the intelligent compression process of conductors and ground wires by proposing a design scheme for an intelligent compression device based on multi-sensor fusion technology. By integrating the collaborative operation of high-precision laser distance sensors, tangential force sensors, axial force sensors, photoelectric sensors, encoders, torque sensors, and fixture force sensors, and combining Kalman filtering with deep learning fusion algorithms, high-precision monitoring and control of the compression process are achieved. Experimental results demonstrate that this solution significantly enhances compression quality and <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> efficiency, providing technical support for the intelligent transformation of the power industry.

Zhaoqing University (CN), China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 46%
Bacterial Infections and Vaccines
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