Image processing as an integration tool between a dam safety system and Smart Grids

A. L. de Oliveira, L. Magrini, H. Y. Kim, E. F. Carneiro, J. C. Pinfari
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引用次数: 1

Abstract

The Smart Grid resilience in power systems could be improved thanks to remote monitoring of civil structures existing at concrete and earth-filled dams, which indicates any atypical behavior of these structures. Among the various sensors and transducers used, the direct and inverted pendulums present an additional challenge. These instruments are widely used in hydroelectric reservoirs to monitor minor displacements in the concrete structures by the measurement of the pendulum's degree of inclination according to the X and Y references set which will reflect the amount of displacement. In this paper, a system capable of performing automated readings of the pendulum wires inclination, through the image processing technique, is presented. A processing methodology combining the calculation of the x component, the gradient signal and the Hough transform was adopted for this purpose.
作为大坝安全系统与智能电网集成工具的图像处理
智能电网在电力系统中的恢复能力可以通过远程监测现有的混凝土和填土大坝的土木结构来提高,这表明了这些结构的任何非典型行为。在使用的各种传感器和传感器中,直接摆和倒立摆提出了额外的挑战。这些仪器广泛用于水电水库,通过测量钟摆的倾斜度来监测混凝土结构中的微小位移,该倾斜度根据X和Y参考集来反映位移量。本文介绍了一种利用图像处理技术实现钟摆线倾角自动测量的系统。为此,采用了x分量计算、梯度信号和霍夫变换相结合的处理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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