With the shortage of land resources, there are more and more urban deep foundation pit engineering. It is of great significance for the safety of deep foundation pit construction to use digital twin technology to reflect the behavior accurately and conduct risk assessment in time. In this paper, a monitoring family of points was created that reflects the information of monitoring points in construction site, which was embedded in the BIM (Building Information Modeling) model of deep foundation pit as monitoring nails, so that the on-site monitoring data can be used to establish the digital twin related to the data of BIM components. Based on the Revit software, the on-site monitoring data visualization module was re-developed by using Visual Studio 2019 to realize the visualization of deep foundation pit about on-site monitoring data. A risk assessment model of deep foundation pit considering conditional information entropy was established and embedded in the visualization development module of on-site monitoring data, which can visualize the deep foundation pit digital twin behavior. Through an instance of a deep foundation pit, the new visualization and risk assessment method can help construction workers to locate dangerous units and formulate corresponding prevention and control measures better and faster.