Simulation of Intelligent Substation Equipment Status Monitoring under 3D Virtual Technology

In complex substation environments, interference in equipment status data complicates rapid fault localization. Therefore, a method for monitoring the status of intelligent substation equipment under three-dimensional virtual technology is proposed. A high-precision 3D model library is constructed to reproduce substation layouts and equipment configurations, offering an immersive visualization platform for status monitoring. Real-time multi-dimensional data collection employs the three-ratio method to identify anomalies and wavelet decomposition to eliminate noise, enhancing data quality and analytical accuracy. By integrating these techniques, the method significantly improves the timeliness and precision of equipment status monitoring. The 3D visualization framework provides intuitive fault information for operation and maintenance personnel, strengthening decision-making capabilities, and achieving intelligent early warning and real-time monitoring of equipment status. Simulation results validate its effectiveness in reducing noise interference and improving fault detection efficiency, ensuring reliable operation of intelligent substations.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155301
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

Simulation of Intelligent Substation Equipment Status Monitoring under 3D Virtual Technology

Xinxin Song, Kun Jing, Xiaoyu He, Naizhou Dong
Advanced Computational Techniques and Applications
article

Simulation of Intelligent Substation Equipment Status Monitoring under 3D Virtual Technology

Xinxin Song, Kun Jing, Xiaoyu He, Naizhou Dong
article en

Abstract

In complex substation environments, interference in equipment status data complicates rapid fault localization. Therefore, a method for monitoring the status of intelligent substation equipment under three-dimensional virtual technology is proposed. A high-precision 3D model library is constructed to reproduce substation layouts and equipment configurations, offering an immersive visualization platform for status monitoring. Real-time multi-dimensional data collection employs the three-ratio method to identify anomalies and wavelet decomposition to eliminate noise, enhancing data quality and analytical accuracy. By integrating these techniques, the method significantly improves the timeliness and precision of equipment status monitoring. The 3D visualization framework provides intuitive fault information for operation and maintenance personnel, strengthening decision-making capabilities, and achieving intelligent early warning and real-time monitoring of equipment status. Simulation results validate its effectiveness in reducing noise interference and improving fault detection efficiency, ensuring reliable operation of intelligent substations.

State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 87%
Advanced Computational Techniques and Applications
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