库水位是大坝安全监测的重要要素之一,提出了在智能全站仪进行大坝外观自动化监测的同时辅助水位测量的方法。首先将智能全站仪望远镜瞄准坝体水位线位置进行观测,利用三角高程原理计算水位线高程,同时通过其同轴相机拍摄进行人工学习得到水位线直线方程。在周期性监测阶段,基于卡尔曼滤波对库水位的预测结果调整望远镜的竖直角并拍照,进而通过图像处理技术根据直线斜率提取图像水位线,并调整拍摄使其居中再计算水位线高程。试验结果表明,此方法测量水位具有一定的工程应用前景,有助于扩展智能全站仪在大坝安全监测中的用途。
Abstract
The water level of reservoir is a crucial element of dam safety monitoring. This paper presents a method to assist in water level measurement using a robotic total station during its displacement monitoring tasks. Initially, the telescope of the robotic total station is precisely aimed at the water level line, and the elevation of water level is calculated using trigonometric leveling principles. Simultaneously, the initial equation for the water level line is manually obtained by capturing a picture with the coaxial camera. During the periodic monitoring stage, the vertical angle of the telescope is adjusted to capture images of the water level line based on the predicted results from the Kalman filter. Subsequently, a series of image processing techniques are employed to extract the water level line from the picture considering the initial slope of the water level line. Adjustments are made to ensure that the captured image is centered on the water level line, and the elevation of the water level line is calculated. The test results demonstrate that this method has a certain engineering application prospect, and is helpful to expand the use of robotic total station in dam safety monitoring.
关键词
大坝自动化监测 /
水位测量 /
智能全站仪 /
图像处理 /
卡尔曼滤波
Key words
dam safety monitoring /
water level measurement /
robotic total station /
image processing /
Kalman filter
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