Objective To solve the problem of low maintenance quality and efficiency in traditional modes, provide an online digital platform for operation training and troubleshooting of various medical equipment, and improve the quality and efficiency of medical equipment maintenance. Methods Adopting front-end and back-end separation technology, building a technical support auxiliary system for medical equipment training, troubleshooting, and quality control based on Python-Django framework and VUE framework. The system supports mobile phone usage and can be used as a medical device teaching system. It also has evaluation and feedback functions, which can dynamically optimize technical guidance solutions. Results After the system trial operation, the average daily number of equipment repairs increased from 7.53 to 9.43, and the average daily fault repair rate increased from 78% to 86%, with statistical significance (P<0.05). Conclusion this system has the characteristics of medical equipment composition in our hospital. By digitizing technical support data and providing professional guidance through a digital platform, it can help improve the level of maintenance management. It is called an iteratively updated "maintenance knowledge base".