摘要
研究基于图像处理和模式识别的动车组闸片厚度自动识别模块,解决动车组制动时因闸片过薄而导致的车轮迅速升温,甚至引发不安全状态的问题。该模块可实现动车组通过时自动检测,即自动拼图、图像预处理、模型定位及制动闸片厚度计算,并对厚度小于一定数值的闸片进行自动报警。通过大量实验和测试表明,该模块可以有效地计算闸片的厚度,具有很好的鲁棒性。
Based on image processing and pattern recognition,this paper studied the automatic recognition module of EMU brake pad thickness to solve the problem of rapid wheel temperature rise and even unsafe state caused by too thin brake pad during EMU braking.The module could implement the automatic detection of EMU passing:automatic jigsaw puzzle,image preprocessing,model positioning and brake pad thickness calculation,and automatically alarm the brake pad whose thickness was less than a certain value.A large number of experiments and tests show that the module can calculate the thickness of the brake pad effectively and has good robustness.
作者
谢克宇
XIE Keyu(Northeast Branch,China Railway Fifth Survey and Design Institute Group Co.Ltd.,Harbin 150006,China)
出处
《铁路计算机应用》
2021年第2期54-57,共4页
Railway Computer Application
关键词
闸片厚度
图像处理
模式识别
模型定位
二值化
break pad thickness
image processing
pattern recognition
model positioning
binarization
