基于图像识别的无人值守变电站二次设备智能巡检方法

Intelligent inspection method for secondary equipment of unattended substation based on image recognition

为解决现有巡检方法对变电站二次设备巡检时存在的巡检速率过低问题,文章提出了一种基于图像识别的无人值守变电站二次设备智能巡检方法。该研究通过图像识别技术提取无人值守变电站的二次设备特征点,以此为基础,采用区域神经网络实现二次设备的智能故障巡检。对比实验结果表明,该研究提出的智能巡检方法可显著提高巡检速率,为无人值守变电站的巡检工作开展提供便利条件。

In order to solve the problem of too low inspection rate for the secondary equipment in the substation,this paper proposes an intelligent inspection method for the unattended substation secondary equipment based on image recognition.In this study,the characteristic points of the secondary equipment in the unattended substation are extracted from the image recognition technology,and on this basis,the regional neural network is used to realize the intelligent fault inspection of the secondary equipment.The comparative experimental results show that the intelligent inspection method proposed in this study can significantly improve the inspection rate and provide convenient conditions for the inspection work of unattended substation.