# Overview of the Research Status of Intelligent Water Conservancy Technology System
## 3 Status Quo of Key Technologies of Smart Water Conservancy
### Digital Twin Platform Technology
#### 3.4.3 Digital Twin Water Model Platform Technology  
Digital twin water model platform technology has many applications and advantages. The core of the hydraulic digital twin platform is to build professional models including hydrology, hydraulics, sediment dynamics, water resources, water environment, soil and water conservation, and water engineering safety, as well as intelligent models such as remote sensing, video and natural language processing, and combine visual models to form a comprehensive simulation platform. This comprehensive model combination can provide detailed, quantitative, dynamic and intuitive computational analysis support for smart water conservancy, help find problems, propose solutions and optimize scheduling schemes, and realize dynamic interaction and coupling simulation of prediction and scheduling [60].  
The visual model is an important model support for 3D simulation, providing real-time rendering and visual presentation for simulation. The visualization models required for 3D simulation of water conservancy should include the visual rendering model of the natural background surrounding water conservancy projects (such as daytime and night in different seasons, wind and snow fog of different magnitude, sunshine variation, light and shadow, water body, etc.), the dynamic visualization mimic simulation model of the reservoir flow field, the monitoring and safe operation model of water conservancy project, and the deformation model of typical geological disasters in a reservoir area, etc. Based on real data, it can realize real visual simulation of the water conservancy hub and reservoir area [13].  
With the continuous improvement of business functions, the application of digital twin technology in the field of water conservancy is also deepening. Through rehearsal and simulation, this technology has realized the exploration of planning, design and future prediction scenarios in the field of digital twin watershed and hydraulic engineering, and realized the dynamic interaction and coupling simulation of forecast and scheduling [61]. Related studies also put forward the design and combination of agents to optimize the service combination scheme to meet the demand [62]. In addition, the development of 3D visual simulation systems combines high-precision DEM data and the hydrodynamics model to realize a large range of water surface dynamic simulations, and provides a real-time and efficient visual simulation method for watershed flow speech [15].  
In order to standardize the application of a mathematical model in the water conservancy industry, an open idea is put forward, a model base is built and a standard evaluation process is introduced to make the model a recognized component in the industry. In addition, the platform supports the development of pre- and post-processing tools to provide convenient numerical simulation services, and improve computing efficiency and concurrency. With the continuous improvement of business functions, big data analysis, and comparison and in-depth mining research will be carried out to provide support for engineering design, flood control scheduling and disaster warning [63].  
In order to overcome the limitations of the traditional digital watershed platform, the Web-based digital twin model realizes the virtual simulation of geographical elements through the browser, displays the watershed water environment and provides decision support. Multiple 3D modeling methods and spatio-temporal modeling of multi-source data provide support for accurate watershed management [64]. The technical solutions proposed in the literature, such as fine-grained decomposition, nested reuse, assembly orchestration methods, and microservices-based packaging and publishing technologies, provide valuable experience and feasible solutions for the construction, application and lifecycle management of the model base of the hydraulic digital twin platform [65].