Paper
15 May 2023 Design of electric power monitoring and early warning system based on Beidou
Xiaohong Liu, Weimin Guan, Donghua Li, Sichao Xun, Guomin Zhang, Feng Xu
Author Affiliations +
Proceedings Volume 12699, Third International Conference on Sensors and Information Technology (ICSI 2023); 126990H (2023) https://doi.org/10.1117/12.2679081
Event: International Conference on Sensors and Information Technology (ICSI 2023), 2023, Xiamen, China
Abstract
This paper is based on GIS technology, through access to multi-source meteorological data, meteorological information, geographic information, and power grid equipment combined with correlation analysis, thus designed the power grid meteorological disaster warning information release system, realize the state grid disaster warning, statistical analysis, model, archives, professional maintenance, industry maintenance part of six power grid disaster warning information monitoring. The system can display all kinds of power disaster data information graphically, and realize the forecast and early warning of power disasters. The field experiment effect shows that the power grid meteorological disaster warning information system can provide professional meteorological warning support for realizing the fine management of the power grid and improving the disaster prevention capacity of the power grid.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohong Liu, Weimin Guan, Donghua Li, Sichao Xun, Guomin Zhang, and Feng Xu "Design of electric power monitoring and early warning system based on Beidou", Proc. SPIE 12699, Third International Conference on Sensors and Information Technology (ICSI 2023), 126990H (15 May 2023); https://doi.org/10.1117/12.2679081
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KEYWORDS
Meteorology

Data modeling

Power grids

Environmental monitoring

Data transmission

Geographic information systems

Design and modelling

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