School of Automation, Harbin University of Science and Technology, Harbin 150080, China.
School of Mechanical Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Sensors (Basel). 2023 May 15;23(10):4755. doi: 10.3390/s23104755.
In the process of producing winding coils for power transformers, it is necessary to detect the tilt angle of the winding, which is one of the important parameters that affects the physical performance indicators of the transformer. The current detection method is manual measurement using a contact angle ruler, which is not only time-consuming but also has large errors. To solve this problem, this paper adopts a contactless measurement method based on machine vision technology. Firstly, this method uses a camera to take pictures of the winding image and performs a 0° correction and preprocessing on the image, using the OTSU method for binarization. An image self-segmentation and splicing method is proposed to obtain a single-wire image and perform skeleton extraction. Secondly, this paper compares three angle detection methods: the improved interval rotation projection method, quadratic iterative least squares method, and Hough transform method and through experimental analysis, compares their accuracy and operating speed. The experimental results show that the Hough transform method has the fastest operating speed and can complete detection in an average of only 0.1 s, while the interval rotation projection method has the highest accuracy, with a maximum error of less than 0.15°. Finally, this paper designs and implements visualization detection software, which can replace manual detection work and has a high accuracy and operating speed.
在电力变压器绕组线圈的生产过程中，需要检测绕组的倾斜角度，这是影响变压器物理性能指标的重要参数之一。目前的检测方法是使用接触式角度尺进行人工测量，不仅耗时，而且误差较大。为了解决这个问题，本文采用了一种基于机器视觉技术的非接触式测量方法。首先，该方法使用相机拍摄绕组图像，并对图像进行 0°校正和预处理，采用 OTSU 方法进行二值化。提出了一种图像自动分割和拼接方法，以获得单线图像并进行骨架提取。其次，本文比较了三种角度检测方法：改进的区间旋转投影法、二次迭代最小二乘法和霍夫变换法，并通过实验分析比较了它们的准确性和运行速度。实验结果表明，霍夫变换法具有最快的运行速度，平均可以在 0.1s 内完成检测，而区间旋转投影法具有最高的精度，最大误差小于 0.15°。最后，本文设计并实现了可视化检测软件，可以替代人工检测工作，具有较高的准确性和运行速度。
