Research of Low-Code Construction and Driving for Digital Twin Scenarios

In the field of water conservancy, digital twin technology and its application in key river basins, projects, and water networks have developed rapidly. The outcomes of digital base construction, professional hydrological models, and decision-making based on knowledge and experience rely on digital twin scenarios for output and expression. Digital twin scenarios, built on visual rendering technology, have become the core carrier for business representation. However, the current process of constructing digital twin scenarios often faces challenges such as high customization costs, low efficiency, limited reusability of scenario outcomes, and unclear mechanisms for scenario element driving and interaction. This paper proposes an efficient integration and driving method for digital twin water conservancy scenarios, based on low-code development platforms such as digital twin application service platforms and digital scene editors. By leveraging technologies including standard scene description, multi-engine dynamic management, and a cross-platform custom communication command system, this approach assists developers in quickly and efficiently constructing digital twin scenarios and dynamic interaction mechanisms, reducing development costs, and significantly improving the efficiency of digital twin water conservancy application development and construction.