基于图像分析的水质智能监测
Han Zhou1, Jun Qiu2, Hou-Liang Lu1
1College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China.
Journal of contaminant hydrology
|September 2, 2023
概括
本研究引入了一种新的基于摄像机的方法,用于连续监测河流水质量,克服传统方法的局限性. 该方法提供了准确,低成本和动态的检测,特别是对于较小的河流.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 水质监测 水质监测
背景情况:
- 传统的水质监测面临着空间和时间的局限性,特别是对于中小型河流.
- 卫星遥感在图像采集时间和空间覆盖方面也有局限性.
研究的目的:
- 开发摄像头图像的标准化方法,以实现持续的水质监测.
- 提出一个具有成本效益的算法,用于使用摄像头数据进行实时移动水质估计.
主要方法:
- 开发了一个标准化算法来纠正相机图像中的光,阴影,反射和表面干扰的变化.
- 根据水体从标准化图像的全面外观创建了一个估计算法.
主要成果:
- 与水文监测站相比,开发的模型显示出高精度.
- 该方法在动态检测和监测中小型水体方面被证明是有效的.
结论:
- 这种基于摄像头的方法为传统的水质检测方法提供了有价值的补充.
- 该技术可实现实时,移动和连续的水质监测,为动态和小规模评估带来重大优势.
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