AI识别技术应用在输配电网络故障诊断中的实践路径

Practical Path of AI Recognition Technology Application in Fault Diagnosis of Transmission and Distribution Networks

随着人工智能技术的快速发展,AI识别技术逐渐应用于输配电网络故障诊断领域,为电力系统的安全和可靠运行提供全新的路径。AI技术不仅能够自动识别电网中的故障,还能够实现对大量数据的高效处理和分析,从而提高故障诊断的准确性和效率。基于此,对AI识别技术应用在输配电网络故障诊断中的实践路径进行研究,分析AI识别技术应用在输配电网络故障诊断中的实践问题,并给出有效的解决办法,以期为电力系统的故障诊断提供可行的解决途径。

With the rapid development of artificial intelligence technology,AI recognition technology has gradually been applied to the field of fault diagnosis in transmission and distribution networks,providing a new path for the safe and reliable operation of power systems.AI technology can not only automatically identify faults in the power grid,but also achieve efficient processing and analysis of a large amount of data,thereby improving the accuracy and efficiency of fault diagnosis.Based on this,this article studies the practical path of AI recognition technology applied in fault diagnosis of transmission and distribution networks,analyzes the practical problems of AI recognition technology applied in fault diagnosis of transmission and distribution networks,and provides effective solutions.It is hoped that through this article′s research,feasible solutions will be provided for fault diagnosis of power systems.