Abstract: In order to effectively improve the monitoring accuracy of hydropower station storage data, a real-time monitoring method for hydropower station material storage data based on digital twin technology is proposed. Combining digital twin technology, construct a digital twin model for material storage in hydropower stations, and achieve the collection and integration of material storage data. And calculate the correlation degree of the stored material data, which can be used to determine whether there are any safety abnormal behaviors in the stored material data, and achieve real-time monitoring of the stored material data of the hydropower station. The experimental results show that the real-time monitoring method of material storage data in hydropower stations based on digital twin technology significantly improves the intelligence level of material storage management in hydropower stations, effectively improves the utilization rate of storage space and the efficiency of material allocation.