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- W4319431004 abstract "In recent years, the scale of the power grid in China has been expanding. It is becoming more and more important to ensure the safe operation of the transmission lines with the increase of transmission capacity and distance of transmission lines. Previous methods tend to utilize images taken by on-site cameras, building their model on these local features and ignoring complex environment information. In this paper, a high-dependability multi-factor mountain fire dynamic early-warning technology is proposed based on satellite remote sensing data. The preprocessing method and the physical analysis of relevant characteristics are studied. The image recognition technology of satellite imaging images is studied, and the fire point identification model based on multi-dimensional information such as surface elements, wide-area meteorology, human environment, and historical fire point distribution is built. A mountain fire warning strategy is also proposed according to the size and distance of the fire point. Case studies on real world application prove the effectiveness and efficiency of our method, which strengthens the intelligent perception, early warning, and emergency response capability of power grids to these natural disasters." @default.
- W4319431004 created "2023-02-09" @default.
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- W4319431004 date "2022-12-01" @default.
- W4319431004 modified "2023-10-18" @default.
- W4319431004 title "High-dependability Multi-factor Mountain Fire Dynamic Early-warning Technology" @default.
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- W4319431004 doi "https://doi.org/10.1109/ceect55960.2022.10030417" @default.
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