小型电磁继电器触点磨损的计算机视觉监测研究  

Research on Computer Vision Monitoring of Contact Wear of Small Electromagnetic Relay

作　　者：席建利 朱治国 张锐锐 彭德教 XI Jianli;ZHU Zhiguo;ZHANG Ruirui;PENG Dejiao;无(Xinda Electric Co.,Ltd.,Wenzhou Zhejiang 325000,China;Zhejiang Lilder Relay Co.,Ltd.,Wenzhou Zhejiang 325000,China)

机构地区：[1]欣大电气有限公司,浙江温州325000 [2]浙江利尔德继电器有限公司,浙江温州325000

出　　处：《信息与电脑》2025年第6期162-164,共3页Information & Computer

摘　　要：电磁继电器触点的磨损问题会导致接触电阻增大、触点烧蚀加剧,从而影响设备运行的可靠性和寿命。传统的检测方法通常依赖于人工检查,耗时长且主观性强,难以实时反映触点状态。文章研究了一种基于计算机视觉的磨损检测方法,设计了硬件架构和图像处理流程,并引入了深度学习技术,实现了对触点磨损的精确识别。通过优化图像预处理和特征提取流程,显著提升了磨损检测的精度。实验表明,系统能够快速、稳定地检测触点磨损程度,在不同光照条件和磨损形态下的准确性和实时性均达到较高水平,为电磁继电器触点的高效监测和可靠性提升提供了一种创新的技术路径。The contact wear of electromagnetic relay will lead to the increase of contact resistance and the intensification of contact ablation,which will affect the reliability and life of equipment operation.Traditional detection methods usually rely on manual inspection,which is time-consuming and subjective,and it is difficult to reflect the contact state in real time.The paper studies a wear detection method based on computer vision,designs the hardware architecture and image processing process,and introduces the deep learning technology to realize the accurate recognition of contact wear.By optimizing the process of image preprocessing and feature extraction,the accuracy of wear detection is significantly improved.The experimental results show that the system can detect the contact wear quickly and stably,and its accuracy and real-time performance under different lighting conditions and wear patterns have reached a high level.The research provides an innovative technical path for the efficient monitoring and reliability improvement of electromagnetic relay contacts.

关 键 词：电磁继电器 触点磨损 计算机视觉 深度学习 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]