数字孪生灌区解决方案

一、项目背景     水利关系国计民生 ， 在国家发展全局中具有基础性、 战略性、 先导性作用 ， 中国式现代化需要有力的现代化水利支撑保障体系。 实现高质量发展这一首要任务 ， 水利 是基础性支撑和重要带动力量。 加快建设农业强国 ， 水利是命脉所在。 要科学谋划 全国农田灌溉发展 ， 统筹推进灌区骨干工程与高标准农田灌排体系建设 ， 为把牢粮 食安全主动权提供水利支撑。     灌区作为水利工程的重要组成部分 ， 灌区是指有可靠水源和引、 输、 配水渠道系统和相应排水沟道的灌溉区域 ， 是一个半人工的生态系统 ， 依靠自然环境提供的光、 热、 水、 土壤资源 ， 加上人为选择的作物和安排的作物种植比例等人工调控手段而组成的一个具有很强的社会性质的开放式生态系统。 二、数字孪生灌区建设任务     2.1.强化感知 ，完善基础设施       • 扩大感知范围 ， 提升感知   智能水平。       • 完善灌区基础设施 ， 提升   灌区装备设施水平。       2.2.推动灌区数字化智能化建设       • 提升行政效能和决策支持   能力 ，优化完善升级现有应用系统。       • 以数字化场景 、智能化模 拟 、精准化决策为路径推进灌区数字化 、监控自动化、调度智能化建设      2.3.需求牵引应用至上 ，提升灌区效益        以灌区水资源管理调配 、   防汛抗旱 ， 提升灌区用水   效能为核心 ， 构建灌区综   合智慧应用体系。  三、数字孪生灌区平台        数据底板。数据底板包括基础数据、监测数据、 业务管理数据、地理空间数据和外部共享数据。在数字孪生流域和数字孪生工 程数据底板基础上 ，统筹数字孪生灌区模型库、知识库、 业务应用等数据需求 ，汇聚和补充数字孪生灌区相关数据， 共享其他部门或行业数据。        模型平台（模型库）。模型平台包括灌区专题模型（包含来水预报、需水预测、水资源配置、输配水联合调度、 田间灌排及水旱灾害防御    等模型 …… ）、智能识别模型、可视化模型等。.      知识平台（知识库）。知识平台包括多年运行管理经验凝练成的专家经验和业务规则（如水资源调配、灌溉制度拟定、水旱灾害防御、安    全运行监控等业务的风险预警研判和调度规则）及预报调    度方案等。   平台架构图见正文。 四、方案构成    4.1.空天地一体化立体感知体系。包括对水情，工情，农情，气象信息的立体感知。    4.2.智慧控制体系。包括闸门联动联控，    4.3.智慧应用体系。包括灌区一张图，灌区遥感监测。    4.4.综合业务管理系统。水量调度系统，水价及计收管理。    4.5.安全运行管理系统。    4.6.效益评价系统。    4.7.移动APP小程序

I. Project Background
Water conservancy is vital to the national economy and people's livelihood, and plays a fundamental, strategic and pioneering role in the overall national development. Chinese modernization requires a robust modern water conservancy support and guarantee system. To achieve high-quality development, the country's primary task, water conservancy serves as a fundamental support and an important driving force. Accelerating the construction of a strong agricultural country relies on water conservancy as its lifeline. It is necessary to scientifically plan the national development of farmland irrigation, comprehensively promote the construction of key irrigation district projects and high-standard farmland irrigation and drainage systems, so as to provide water conservancy support for securing the initiative in food security.

As an important part of water conservancy projects, an irrigation district refers to an irrigation area with reliable water sources, water diversion, transportation and distribution channel systems and corresponding drainage ditches. It is a semi-artificial ecosystem, an open ecosystem with strong social attributes, which relies on light, heat, water and soil resources provided by the natural environment, plus artificial control measures such as artificially selected crops and arranged crop planting ratios.

II. Construction Tasks of Digital Twin Irrigation Districts
2.1 Strengthen Perception and Improve Infrastructure
• Expand the scope of perception and improve the intelligent level of perception.
• Improve the infrastructure of irrigation districts and upgrade the level of irrigation district equipment and facilities.

2.2 Promote Digital and Intelligent Construction of Irrigation Districts
• Improve administrative efficiency and decision-making support capabilities, and optimize and upgrade existing application systems.
• Promote the digitalization, automatic monitoring and intelligent scheduling of irrigation districts by taking digital scenarios, intelligent simulation and precise decision-making as the implementation paths.

2.3 Demand-Oriented, Application-First to Improve Irrigation District Benefits
Focus on water resources management and allocation, flood and drought disaster prevention, and improvement of water use efficiency in irrigation districts, and build a comprehensive intelligent application system for irrigation districts.

III. Digital Twin Irrigation District Platform
Data Backplane. The data backplane includes basic data, monitoring data, business management data, geospatial data and externally shared data. Based on the data backplanes of digital twin river basins and digital twin projects, we will coordinate the data requirements of the digital twin irrigation district model library, knowledge base, business applications and other aspects, collect and supplement relevant data of the digital twin irrigation district, and share data from other departments or industries.

Model Platform (Model Library). The model platform includes irrigation district thematic models (such as water inflow forecasting, water demand forecasting, water resources allocation, joint water transmission and distribution scheduling, field irrigation and drainage, flood and drought disaster prevention models, etc.), intelligent recognition models, visualization models, etc.

Knowledge Platform (Knowledge Base). The knowledge platform includes expert experience and business rules summarized from years of operation and management experience (such as risk early warning, judgment and scheduling rules for businesses including water resources allocation, irrigation system formulation, flood and drought disaster prevention, safe operation monitoring, etc.), as well as forecasting and scheduling plans, etc.

The platform architecture diagram is shown in the main text.

IV. Scheme Composition
4.1 Air-Space-Ground Integrated Stereoscopic Perception System. This covers stereoscopic perception of water regime, project condition, agricultural condition and meteorological information.
4.2 Intelligent Control System. Including gate linkage and coordinated control.
4.3 Intelligent Application System. Including the one-map for irrigation districts and remote sensing monitoring for irrigation districts.
4.4 Comprehensive Business Management System. Including water quantity scheduling system, water price and charging management.
4.5 Safe Operation Management System.
4.6 Benefit Evaluation System.
4.7 Mobile APP Mini-program

搜集汇总

背景与挑战

背景概述

该数据集详细阐述了数字孪生灌区解决方案，包括水利建设的重要性、数字化灌区的三大建设任务（基础设施完善、智能系统构建和综合应用提升），以及由数据底板、模型平台和知识平台组成的核心架构。方案具体实施包含空天地感知、智能控制、业务管理等七大系统模块。