Research on real-time monitoring methods for intelligent tower base health based on machine vision systems

This article introduces an innovative real-time health monitoring method for the tower foundation a system based on machine vision technology. This system is committed to overcoming the issues associated with traditional manual inspection methods and the high cost and technical challenges faced by sensor-based online monitoring systems during implementation. We delve into the principles of stereo imaging technology, employing a tilt monitoring algorithm to accurately measure the relative tilt angle, and perform an evaluation of the tower foundations health status based on this tilt angle range. We believe this technology has the potential to revolutionize the field of real-time tower foundation health monitoring, offering a more flexible, accurate, and cost-effective solution.