Water Resources and Power

Under the background of smart water conservancy construction, digital twin technology has brought a new revolution to dam safety assessment. This study focused on the application of data-driven methods. Based on the analysis of environmental quantity, effect monitoring data, the multi-step reverse cloud transformation algorithm was introduced to improve the traditional cloud model method. The monitoring indicators of a certain water conservancy hub project had been innovatively formulated by combining with digital twin technology. The results show that the improved multi-step reverse cloud transformation algorithm can solve the problem of complex monitoring indicators, and the verification results of the dam are consistent with the actual situation in terms of 3E_n criterion, which can provide an effective method for dam safety monitoring and evaluation.