Research and Development of Integral Test System for Transformer Calibrator Based on Machine Vision and Servo Control

In this paper, we propose an automatic test system for power transformer calibrator based on machine vision and servo control technology. The software and hardware architecture of the system includes an automatic test module, a servo-driven vision module, and a standard power module. We propose a machine vision algorithm based on artificial neural network to realize the automatic reading of the display data of the tested calibrator. Through the servo drive platform, the smart camera is moved to the best position for capturing images, and the computer visual recognition is used instead of manual to complete the automatic reading and parsing of the display data. The system can realize automatic test of multiple devices at the same time. The practical application shows that the system designed in this paper can meet the requirements of practical application, replace the manual test with machine, improve the test efficiency and stability of results, and have certain development prospects.