Construction and Application of Digital Twin Water Conservancy Project Evaluation System

In order to scientifically, systematically, and comprehensively evaluate the effectiveness of digital twin water conservancy engineering construction and solve the problems of uneven development and scattered technical routes in digital twin water conservancy engineering construction, this study constructed a set of digital twin water conservancy engineering evaluation system. This evaluation system is strictly based on the core requirements of China's Ministry of Water Resources, featuring "demand-driven, application-oriented, digital empowerment, and capacity enhancement", to ensure that the system conforms to national policy guidance and actual engineering needs. This study divided the maturity of digital twin water conservancy engineering construction from low to high into four levels, namely L1 level (digital mapping, virtual real interaction: realizing the digital mapping of all elements and processes of the project, and dynamic real-time interaction and synchronization between physical and digital engineering), L2 level (intelligent prediction, virtual real integration: integrating multi-source information from the data base, developing mechanism models and mathematical statistical models, simulating the operation process), L3 level (precise scheduling, virtual real optimization: integrating the data base and models, conducting rehearsals and multi scheme optimization comparisons, warning risks in advance and assisting decision-making), and L4 level (autonomous optimization, virtual real symbiosis: applying artificial intelligence technology to achieve autonomous learning and optimization iteration). This evaluation system consists of six dimensions, 19 indicators, and 67 evaluation factors. The six dimensions are information infrastructure capability, digital twin platform capability, business application capability, network security capability, guarantee capability, and expansion capability. Therefore, a comprehensive evaluation model for digital twin water conservancy projects was constructed based on this and evaluated and verified through a typical water conservancy hub project to obtain specific evaluation scores for different dimensions, indicators, and evaluation factors, forming an evaluation of the digital twin water conservancy project. The final results show that this evaluation system can complete a comprehensive, systematic, and accurate evaluation of the digital twin water conservancy project. At the same time, by providing examples of the same digital twin water conservancy project, it has been verified that this evaluation system has dynamic adaptability and can complete comprehensive evaluations from multiple dimensions, as well as personalized evaluations from a single dimension. At the same time, this evaluation system can identify various construction shortcomings of digital twin water conservancy projects, guide their future technological development directions, strengthen their departmental control and refinement, and provide standards for their assessment and evaluation in different forms.