An Automatic Acquisition Method of Detection Data for Substation Equipment

Live detection and testing items are an indispensable method for diagnosing the status of substation equipment and discovering hidden dangers of substation equipment defects. At present, the input of detection data is mainly by manual, and there are problems such as large workload, low efficiency, and error-proneness. An automatic acquisition method of detection data for substation equipment is proposed in this paper. This method captures the screen images of electric power meters, then uses the OCR (Optical Character Recognition) method to automatically identify the detection data from the screen images, and input them into the testing report automatically. The experimental results show that the method has high accuracy, and can greatly improve the efficiency of automatic acquisition of detection data.