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A recognition method of action-times-readout of arrester in convertor station based on image processing

机译:基于图像处理的变电站避雷器动作时间读数识别方法

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摘要

According to the characteristics of the converter in the power system for lightning arrester action frequency instrument, presents a recognition method for lightning arrester action times based on image station. First of all, using perspective transform method for image distortion correction, secondly, to enhance the image by image grayscale, image smoothing, histogram equalization, image of two value method and image expansion and refinement, the image information and character relatively clear the position, again, using vertical projection method and neural network based on sport to conduct image segmentation and character recognition, and finish the reading of the lightning arrester action number recognition. Finally, the scene of the image of the proposed algorithm are verified. The results show that the algorithm can identify fast, automatic, accurate number of arrester. This method can avoid the artificial reading efficiency is low and the problem of poor accuracy, but only the intelligent recognition of very few changes can be applied to other digital instrument in converter station.
机译:根据避雷器动作频率仪电源系统中变频器的特性,提出了一种基于图像站的避雷器动作时间识别方法。首先,使用透视变换法进行图像失真校正,其次,通过图像灰度,图像平滑,直方图均衡化,图像二值法和图像扩展与细化来增强图像,图像信息和字符的位置相对清晰,再次,利用垂直投影法和基于运动的神经网络进行图像分割和字符识别,完成避雷器动作数识别的读取。最后,对所提算法的图像场景进行了验证。结果表明,该算法可以快速,自动,准确地识别避雷器的数量。这种方法可以避免人工读取效率低和精度差的问题,但是只有很少变化的智能识别才能应用于换流站中的其他数字仪器。

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