电力传输
传输(电信)
计算机科学
断层(地质)
实时计算
输电线路
GSM演进的增强数据速率
数据传输
传感器融合
滤波器(信号处理)
网格
卡尔曼滤波器
直线(几何图形)
电子工程
工程类
电气工程
电信
计算机硬件
人工智能
地质学
地震学
数学
计算机视觉
几何学
作者
Xingkai Du,Wanjun Qu,Xin Yu,Di Wang,Zhao Xia,Yinghong Gao,Jikuan Du,Aoyang Yü
出处
期刊:Journal of physics
[IOP Publishing]
日期:2022-11-01
卷期号:2360 (1): 012021-012021
标识
DOI:10.1088/1742-6596/2360/1/012021
摘要
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.
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