Abstract: Aiming at the schedule control challenges arising from complex geological conditions and multi-workface simultaneous construction in the Yangtze-to-Hanjiang Water Diversion Project, this study explores a schedule risk prevention and control method based on the deep integration of BIM and GIS. By constructing a schedule risk prevention and control system following the "real-time sensing – data integration – prediction and simulation" framework, real-time collection of all construction elements was achieved through comprehensive IoT-based perception. Multi-source heterogeneous information was fused based on a BIM+GIS data platform, and a multi-scenario schedule prediction model was developed. By establishing a complete decision-making loop of "warning–prediction–planning, " the system shifts the management mode from passive response to active intervention, providing a systematic and intelligent schedule control solution for large-scale tunnel group construction under extremely complex geological conditions. Practice shows that this system enables panoramic visualization and multi-dimensional analysis of project progress, with significantly improved warning accuracy. Through schedule prediction and automatic generation of construction plans, the average monthly advance rate of TBM increased by 25%, and the critical path duration is expected to be shortened by approximately 11 months, substantially enhancing project schedule control capability. The practical results can provide a reference for the schedule management and informatization development of other water diversion projects.