Algorithm Optimization and Verification of Transmission Line Digital Twin and Physical Model

Kun Zhang

2025

Abstract

Transmission lines are the lifeline of the power grid. Regular inspection and timely treatment of potential security risks can help to ensure the stable operation of the power network. In order to identify the key components and security risks in transmission lines, this study is based on the actual operation of transmission lines, put forward a target identification algorithm of combining digital twin and physical model, and the current common YOLOX algorithm, Faster-RCNN algorithm comparison analysis, to effectively expand the fusion algorithm feature mapping data, realize the comprehensive integration of spatial information and channel properties and the identification of the target accurately. In view of the research results analysis, through the transmission line digital twin and physical model combining algorithm optimization and validation, the validation index accuracy increased 3.64%, average validation accuracy is as high as 90.71%, identification speed only 10.37 milliseconds, loss value of 0.70711, the transmission line digital twin combined with the physical model algorithm optimization is more practical.

Paper Citation

in Harvard Style

Zhang K. (2025). Algorithm Optimization and Verification of Transmission Line Digital Twin and Physical Model. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 505-510. DOI: 10.5220/0013547700004664

in Bibtex Style

@conference{incoft25,
author={Kun Zhang},
title={Algorithm Optimization and Verification of Transmission Line Digital Twin and Physical Model},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={505-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013547700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Algorithm Optimization and Verification of Transmission Line Digital Twin and Physical Model
SN - 978-989-758-763-4
AU - Zhang K.
PY - 2025
SP - 505
EP - 510
DO - 10.5220/0013547700004664
PB - SciTePress