Research and Application of Digital Twin in the Field of Hydropower Stations

The national “14th Five-Year Plan” on the construction of intelligent water conservancy clearly requires the construction of an intelligent water conservancy system to enhance the ability to measure and report water clarity and intelligent scheduling, and to make full use of the new generation of information technology such as the Internet of Things, big data and digital twins. The main task of smart water conservancy construction is to build a digital twin basin to achieve integrated development and safety. To this end, the digital twin platform in this paper covers the entire process of reservoir digital scene construction, simultaneous monitoring of dam safety and rainfall, real-time forecasting, automatic feedback analysis, online safety judgement, early warning, and dam safety decision support. The system collects the characteristics of dam settlement, inclination, water pressure and dam shape, and through the acquisition, collation and analysis of all kinds of information, it makes dam safety evaluation, controls the safe operation of dams, verifies the accuracy of calculation parameters, the practicability of the calculation method, and the correctness of the feedback construction method, and helps the management personnel to make accurate and fast disaster warning forecasts to protect the people’s life and property safety. In addition, this paper also researches the “four pre” functions required for the construction of digital twin watersheds, i.e., prediction, early warning, pre-control and planning, and puts forward suggestions for a perfect business application system and network security protection system.