Online Detection of Grounding Wire Hanging Status Based on Faster R-CNN and Lora

In the detection of grounding wire hanging status, the accuracy of the detection results is affected and low due to the difficulty in identifying the characteristics of the grounding wire image. To alleviate this problem, an online detection method for grounding wire hanging status based on Faster R-CNN and Lora is proposed. Utilize Lora gateway to obtain remote grounding wire image data online. Establish a Faster R-CNN network structure consisting of three frameworks, input the obtained images into the structure for feature recognition, and after fine-tuning, output the corresponding image feature map. By matching the obtained feature maps, online detection of the grounding wire hanging status can be achieved. The experimental results show that the proposed method performs well in accuracy, with a good PR curve, and has good application prospects in the operation and maintenance of substation grounding wires.