Abstract: To cope with the high risks and complex environment faced during the construction of large deep foundation pits, real-time, efficient, and accurate monitoring and early warning of pit deformation are needed to ensure construction safety and engineering quality. The traditional foundation pit monitoring mode has problems such as slow data collection, high labor intensity, and slow submission of results, which are difficult to meet the risk control needs of modern deep foundation pit construction. Therefore, this study uses automated monitoring technology to obtain real-time monitoring point change data, and integrates and visualizes the real-time data obtained from various monitoring projects using Internet of Things technology, in order to analyze the deformation trend of foundation pits and achieve visual monitoring and automatic warning functions for high-risk deep foundation pits. The results indicate that the automatic dynamic real-time monitoring technology for deep foundation pits can solve the problem of slow data collection in traditional pit monitoring modes, while also overcoming the pain points of high labor intensity and slow submission of results; The Internet of Things can also summarize and visually share monitoring data of the entire foundation pit on this basis, and can access and query monitoring data in real-time on multiple platforms. This technology can truly and effectively reflect the real-time dynamic deformation trend during the construction process of deep foundation pits, ensuring the safety and stability of deep foundation pits. This technology provides an efficient and reliable solution for risk management in large-scale deep excavation construction, with broad application prospects.