# Overview of the Research Status of Intelligent Water Conservancy Technology System
## 1 Introduction
This study will focus on the research status of constructing the integrated sensor network of sky, air, ground and water, in order to realize the three-dimensional and intelligent water-sensing system. Second, the 3D simulation ability of the water conservancy scene is insufficient. First of all, the capability of multivariate data fusion and iterative update is insufficient, and the real-time feedback mechanism is lagging, which affects the real-time analysis and decision-making of the water conservancy business. Secondly, the computing power of the simulation platform cannot support high-frequency and high-precision dynamic simulations, resulting in insufficient fidelity  
Figure 1: Progress of smart water conservancy digital twin. of the 3D digital twin scene. Finally, the integration of spatial analysis and professional modeling modules involved in the water conservancy business is not deep enough, and it is urgent to improve the level of simulation and intelligent application [13]. Therefore, this paper deeply analyzes the establishment of a high-precision multi-fusion data substrate, the construction of digital twin scenarios integrated by BIM and GIS, and the application examples of digital twin water model platform technology, hoping to provide valuable experience for subsequent researchers. Third, the function of intelligent decision analysis is still insufficient. The traditional water conservancy model has some problems, such as poor real-time performance, poor prediction effect and a low data utilization rate. Therefore, there is an urgent need to combine emerging technologies such as big data, machine learning and knowledge graphs to improve decision-making ability [14]. Among them, big data technology can improve the representation and value of data by integrating a large number of real-time data from different sources, so as to make decisions more accurate. At the same time, artificial intelligence, especially machine learning, can perform intelligent analysis and prediction of hydrological data, such as flood forecasting. The construction of a water conservancy knowledge map can integrate the database of a forecast scheduling scheme and the database of business rules to provide deep support for the decision-making process. In addition, this paper summarizes the cloud network convergence architecture based on digital twins, which provides efficient data updating and real-time synchronization capabilities for water resources management by migrating resource-intensive tasks to edge and end devices. At the same time, the combination of blockchain technology and smart sensors ensures the high reliability and authenticity of the data, thus improving the security of the water conservancy digital twin data chain. This study aims to focus on the research status of key technologies and applications of smart water conservancy, and integrate the digital twin into a smart water conservancy system as an important technology to provide a new perspective for the development of smart water conservancy, with a view to providing useful references for the application of digital twin technology in water resources management. In order to achieve this goal, this study uses the keywords \"digital twin\", \"intelligent water conservancy\" and \"water resources management\" in academic databases such as Web of Science and CNKI to collect and classify relevant literature. The structure of the paper is as follows. Firstly, the introduction will introduce the background of intelligent water conservancy, research status and the contribution of this paper. Secondly, based on the existing literature, a smart water conservancy framework based on the digital twin is proposed. Then, the application status of an intelligent water conservancy system in water security, water resources management and water conservancy engineering is discussed.