基于AI视觉技术的水面蒸发量智能监测方法与设备应用研究

Research on Intelligent Monitoring Method and Equipment Application of Water Surface Evaporation Based on AI Vision Technology

摘要: 针对传统蒸发站蒸发皿观测智能化程度不高的问题，本文设计一种新型高精度武大AiMeteo视觉水面蒸发量智能观测设备。该设备利用智能摄像头实时拍摄蒸发皿的水面视频，采用图像处理技术以及神经网络进行水位特征学习和分析，对设定时间内水量变化的准确识别，实现蒸发量的精确计算。实验表明，该设备具有较高的准确性、实时性与稳定性，能够满足水面蒸发观测规范要求。该设备为水面蒸发量观测提供了一种简单高效的解决方案，实现了水面蒸发量智能化与低成本观测，具有广泛的应用前景。

Abstract: Aiming at the low intelligence problem of the traditional evaporation station, a novel high-precision Wuhan University AiMeteo visual water surface evaporation intelligent observation equipment was designed and developed in this paper. For accurately identifying changes in water volume within a given time and calculating the evaporation, the new equipment utilizes intelligent cameras to capture the water surface video of the evaporation dish in real time, and adopts image processing techniques as well as neural networks for water level feature learning and analysis. Experiments show that this device possesses high accuracy, real-time performance, and stability, meeting the specification requirements for water surface evaporation observation. This device provides a simple and efficient solution for water surface evaporation observation, realizes intelligent and low-cost observation of water surface evaporation and has a wide range of application prospects.