From ancient Yu the Great, Sun Shuao in the Spring and Autumn Period, to Su Shi in the Song Dynasty, Guo Shoujing in the Yuan Dynasty, and countless water conservancy workers in New China, people have been using water management to maintain peace since ancient times. They have dug out a water system network from the mud that connects the north and south, and the east and west. Nowadays, with the support of technologies such as big data, artificial intelligence, and digital twins, China's water network construction is becoming more intelligent. Recently, at the parallel forum on "Digital Twin and Intelligent Development of National Water Network" at the 2nd National Water Network and South to North Water Diversion High Quality Development Forum, Wang Yong, Deputy Director of the South to North Water Diversion Department of the Ministry of Water Resources, stated that in order to accelerate the development of water conservancy intelligence, the Ministry of Water Resources has explicitly listed digital twin water conservancy as one of the six paths to promote high-quality development of water conservancy, and has systematically constructed a digital twin water conservancy framework system consisting of digital twin watersheds, digital twin water networks, and digital twin projects. The digital twin of the South to North Water Diversion Project was initially completed. In southern China, there is abundant water and frequent floods, while in northern China, there is limited water and frequent droughts. If we can 'borrow' some excess water from the south to the north, it will help alleviate the water shortage problem in the north - this is the original intention of China's promotion of the South to North Water Diversion Project. The South to North Water Diversion Project is the main backbone and artery of the national water network. The East, Middle, and West Lines of the South to North Water Diversion Project connect the four major river basins of the Yellow River, Huai River, Haihe River, and Yangtze River, and will establish a water resource allocation pattern of "four horizontal and three vertical, north-south allocation, and east-west mutual assistance". At present, the follow-up project of diverting the Yangtze River to supplement the Han River on the central line is progressing smoothly, and the preliminary work of the follow-up project on the eastern line and the western line is being carried out urgently. This year marks the 10th anniversary of the comprehensive water supply of the first phase of the East Middle Route of the South to North Water Diversion Project. Wang Annan, Secretary of the Party Group and Chairman of China South to North Water Diversion Group Co., Ltd., introduced at the forum that in the past 10 years, the first phase of the East Middle Route of the South to North Water Diversion Project has transferred more than 76 billion cubic meters of water to the north, directly benefiting over 185 million people. This cannot be achieved without the protection of digital twins. Wang Yong said that the digital twin of the South to North Water Diversion Project has been preliminarily completed and put into use, and has achieved significant results. Taking the digital twin of the South to North Water Diversion Middle Route 1.0 as an example, through the collection of multimodal data, collaboration of multi business professional models, and the construction of a multi-core fusion computing power platform, the digital twin of the South to North Water Diversion Middle Route 1.0 has achieved the application of ice condition prediction and forecasting models and ice period water transportation services. It can scientifically predict and forecast the water temperature and ice conditions of various canal sections in the next 3, 5, 7, 10, and 15 days. It can provide timely warnings when the water temperature, shore ice, flowing ice, and ice cover reach critical values, and generate corresponding contingency plans for ice conditions. It can also optimize the scheduling plan and significantly improve the winter water delivery capacity of the central line project. The construction of water conservancy projects is more intelligent and efficient. In some water conservancy projects, the construction of tunnels and underground engineering is an important part, and complex geological conditions often bring significant safety risks. Digital intelligence technology is expected to achieve accurate prediction and disaster prevention of adverse geological hazards in tunnels. Li Shucai, an academician of the CAE Member and president of Shandong University, made an image analogy: if you want to know where the lesion is, you have to take X-ray films and CT scans for patients. With the support of digital technology, it has become possible to perform CT scans on tunnels. For many years, he has led a team to "take CT scans" of tunnels, achieving prediction and analysis of disasters such as water and mud bursts, and providing assistance for the adjustment and decision-making of subsequent construction plans. The team has also developed a construction intelligent decision-making system that provides guidance on forecast results, which can achieve advanced geological prediction numerical simulation, tunnel excavation digital twin, and intelligent decision-making. Li Shucai used the intelligent excavation of a full section hard rock tunnel boring machine as an example to introduce the engineering verification carried out by the team in the Hangzhou Second Water Source Water Transfer Channel Project. By applying an intelligent decision-making system, compared with the method of manual decision-making excavation under the same geological conditions, the excavation speed is increased by about 10% and the total cost is reduced by about 10%. Another case comes from the team of Wang Junping, a researcher at the Institute of Automation, Chinese Academy of Sciences. Their developed proactive warning system for water network infrastructure proposes a path for constructing a digital twin system for water conservancy projects throughout the entire basin, which can achieve efficient and accurate control of complex water conservancy facilities and effectively respond to extreme weather and major natural disasters. Wang Junping told reporters that it will take a lot of effort, real effort, and a long time to answer how artificial intelligence can be deeply integrated with water conservancy engineering in the future. (New Society)