Research on the Digital Twin Polder Area System Driven by Integrating the Xin’anjiang Model and the N-BEATS Model

Abstract

Digital twins are propelling the next generation of the industrial revolution and serve as a key technology in enabling intelligent water conservancy. However, due to the diversity of objects within water conservancy scenarios and the complexity of related factors, research and application of digital twins in the field of water conservancy remain immature. There are still significant challenges in constructing fine-grained, high-fidelity digital twin for water conservancy objects and their corresponding scenarios. In this context, taking polder areas as research subjects, a digital twin polder area system is proposed, which includes the data representation of the main elements in the polder area; based on 3D engine Unity, the modeling and rendering of the polder area’s terrain, water body, water conservancy projects, and different weather conditions are achieved; the Xin’anjiang model, N-BEATS model, and the feature engineering model we proposed are integrated to predict water level and flow rate, thereby driving the visual scenario to simulate the extent of the impact of waterlogging at different future moments. Based on satellite imagery data, actual water level data, and flow rate data from a polder area in the Lixiahe river network of Jiangsu Province in China, we measure the efficiency of scene rendering and the accuracy of the prediction models. The results show that the performance and model accuracy of the digital twin polder area system meet the practical requirements. It is more comprehensive by comparing with other works, which can be used as a reference for the construction of a digital twin system or scenario in the water conservancy field.