Research on online monitoring system of fusion transmission line based on multi-source data
| Autor: | Xingkai Du, Wanjun Qu, Xin Yu, Di Wang, Xia Zhao, Yinghong Gao, Jikuan Du, Aoyang Yu |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 2360:012021 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/2360/1/012021 |
| Popis: | With the rapid development of China’s national economy, the length of transmission lines is increasing steadily, and the operating status of high-voltage transmission lines is directly related to the operational safety and efficiency of the entire power grid, but the sensors of transmission lines can only monitor one type of fault, and the fault analysis has limitations, which makes it impossible to comprehensively judge the operating status of transmission lines. This paper designs a transmission line online monitoring system based on multi-source data fusion, which adopts the improved Kalman filter algorithm. The data collected by the front-end system is fused, analyzed and shared in real time through the edge computing fusion terminal, so as to achieve a comprehensive judgment on the operation of transmission lines and improve the safe and stable operation level of transmission lines. |
| Databáze: | OpenAIRE |
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