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基于图像处理技术,采用嵌入式机器视觉处理系统,设计了一种用于继电器触点间距的智能检测装置和方法。在硬件方面,以Cortex-A8处理器为中心,将控制、处理与测量于一体,并采用红外光源作为照明系统,抑制金属触点的光发射;在算法方面,以继电器触头静触片的接触点图像区域为特征图像,并采用多分辨率金字塔分层匹配技术,实现对检测对象的准确识别和定位,同时根据继电器内部组件位置的对应关系,确定继电器触点边缘检测区;在检测区内,先采用像素级的边缘检测算法确定两接触点边缘后,再利用亚像素边缘检测技术,实现边缘的精确定位,并检测出继电器触点间的最短距离。本文所提出的方法对继电器质量检测和性能评估具有重要的意义。
Based on the image processing technology, an embedded machine vision processing system is used to design an intelligent detection device and method for relay contact spacing. In terms of hardware, the Cortex-A8 processor as the center, the control, processing and measurement in one, and the use of infrared light source as the lighting system, inhibition of metal contact light emission; in the algorithm, the relay contacts static contact The contact point image area is the feature image, and the multi-resolution pyramid hierarchical matching technology is used to realize the accurate identification and positioning of the detection object. At the same time, the relay contact edge detection area is determined according to the corresponding relationship of the relay internal component positions; First, using pixel-level edge detection algorithm to determine the edge of the two contacts, and then use the sub-pixel edge detection technology to achieve precise positioning of the edge and detect the shortest distance between relay contacts. The method proposed in this paper is of great significance for the quality inspection and performance evaluation of relays.