基于计算机视觉和电厂巡检机器人的模拟仪表自动读数系统

Junzhe Wang, Jian Huang, Rong Cheng
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引用次数: 10

摘要

本文设计了一种用于电厂监测的模拟仪表自动读数系统。在一般的自动读数系统中,存在着由于单个系统只能监控一台仪器而导致的高成本、摄像角度的严格限制、不适合刻度密集的仪器等诸多限制,影响读数的正确性和系统的鲁棒性。我们提出了克服这些限制的一些解决方案。首先,我们将移动巡检机器人与图像采集装置相结合,结合图像处理方法来降低电厂模拟仪表监测的成本。然后,利用霍夫变换和透视变换对摄像机角度引起的图像几何畸变进行校正。最后,我们得到了基于极变换的密集尺度仪器的结果。实验结果表明,该系统性能良好,读取误差小于一般自动读取系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Reading System for Analog Instruments Based on Computer Vision and Inspection Robot for Power Plant
In this paper, an automatic reading system for analog instruments has been designed for monitoring in power plants. In a general automatic reading system, there are many limitations to the reading correctness and system robustness such as the high cost for the reason that there is only one instrument could be monitored by a single system, the strict restrict of the camera angle, and being not suitable for instruments with dense scales and so on. We present some solutions to overcome these limitations. Firstly, we combine a mobile inspection robot with an image capture device and the image processing method to cut the cost of the monitoring of analog instruments in power plants. Then, we use Hough transform and perspective transform to correct the geometric distortion of images caused by camera angle. Eventually, we get the result of dense scaled instruments based on polar transform. Experiments show that our system performs quite well, and the reading error is less than the results which obtained from the general automatic reading system.
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