基于武大AiFlow视觉测流技术的生态流量智能监管平台及其应用

The Ecological Flow Intelligent Supervision Platform Based on Wuhan University’s AiFlow Visual Flow Measurement Technology and Its Application

随着气候变化和社会经济的快速发展和人口的持续增长,河流天然水文情势发生了一定程度的改变,水资源的供需矛盾日益凸显,生态环境的恶化和水污染问题日益突出。为了保护水资源、维护生态平衡以及推动可持续发展,生态流量监测、调控和管理变得至关重要。然而,传统的流量监测方法存在诸多局限性,因此迫切需要采用先进技术提升监测效率和准确性。本文介绍了基于武大AiFlow视觉测流技术的生态流量智能监管平台技术,并以开化县马金溪流域为例,详细阐述了平台的监测原理、设计与组成,以及在生态流量数据分析和平台应用方面的情况。通过与传统方法的比较验证了该技术的准确性和可靠性,并指出了其在提高监测精度、降低成本等方面的优势。本文的研究为生态流量监测和管理提供了新的解决思路和技术支持,对于推动生态环境保护工作的发展具有重要意义。

With climate change, rapid socio-economic development, and continuous population growth, the natural hydrological regime of rivers has undergone significant changes. The conflict between water supply and demand has become increasingly prominent, along with the worsening of ecological environments and water pollution issues. To protect water resources, maintain ecological balance, and promote sustainable development, ecological flow monitoring, regulation, and management have become crucial. However, traditional flow monitoring methods have many limitations, highlighting the urgent need for advanced technologies to improve monitoring efficiency and accuracy. This paper introduces the Wuhan University AiFlow visual flow measurement technology, which serves as the core of an intelligent ecological flow regulation platform. Using the Majin River Basin in Kaihua County as an example, the paper details the monitoring principles, design, and components of the platform, as well as its application in ecological flow data analysis. Comparisons with traditional methods demonstrate the accuracy and reliability of this technology, emphasizing its advantages in enhancing monitoring precision and reducing costs. This research provides new approaches and technical support for ecological flow monitoring and management, contributing significantly to the advancement of ecological environment protection efforts.