关键词: 水资源调度管理平台, 物联网, 数字孪生, 水利专业模型, 灌区

Abstract:

[Objective] To address the issues of insufficient real-time sensing capability and low level of intelligent decision-making in water resource scheduling and management in irrigation areas, this study focuses on the design and implementation of a digital twin water resource scheduling and management platform for irrigation areas. [Methods] By integrating the Internet of Things, digital twins, hydraulic models, and irrigation area water resource scheduling and management systems, a water resource sensing and control system for irrigation areas was established. This system gathered massive sensing data and combined it with digital twin visualization technologies such as full-factor digital representation, multi-source heterogeneous data fusion, and high-fidelity 3D visualization. It enabled synchronous simulation and diagnostic analysis of the operational status of various components of the irrigation area (canal headworks, canal sections, regulating gates, distribution gates, and irrigation area) and multiple factors (water level, flow, water quality, engineering safety, gate opening, etc.). Based on the canal system hydrodynamic model and water resource scheduling evaluation model, a water resource scheduling decision-making system of “forward simulation of scheduling impacts and backward deduction of scheduling plans” was constructed. The dynamic simulation and analysis of water allocation plans generated by the integrated model of “inflow prediction-water demand prediction-dynamic canal system water distribution” were performed, continuously iterating and optimizing scheduling plans to assist in the scientific development of joint water resource scheduling plans for the canal gate groups in the irrigation area. [Results and Conclusions] The practical application of the digital twin Dujiangyan Irrigation Project (canal head hub) demonstrates that through digital mapping and intelligent simulation of all elements of the physical watershed and water resources management activities in the irrigation area, the digital twin irrigation area water resource scheduling and management platform can timely perceive the supply and demand status of water resources, as well as the operational conditions of irrigation water conservancy projects and sensing devices. This enables intelligent and refined allocation of water resources, comprehensively enhancing the modernization level of water resource management in irrigation areas.

Key words: water resources scheduling and management platform, Internet of Things, digital twin, hydraulic model, irrigation area