矿用芳纶输送带X射线无损检测方法  

Nondestructive Testing Method of X-ray for Mining Aramid Conveyor Belt

作　　者：郭鹏飞 刘晓亮 唐俊飞 张涛涛 刘恒 王以民 Guo Pengfei;Liu Xiaoliang;Tang Junfei;Zhang Taotao;Liu Heng;Wang Yimin(CHN Energy Shendong Coal Group Co.,Ltd.,Yulin 719000,China;Tianjin Sino-German University of Applied Sciences,Tianjin 300350,China)

机构地区：[1]国能神东煤炭集团有限责任公司,陕西榆林719000 [2]天津中德应用技术大学,天津300350

出　　处：《煤矿机械》2025年第4期192-194,共3页Coal Mine Machinery

基　　金：天津市重点研发计划科技支撑重点项目(18YFZCGX00930)。

摘　　要：随着矿用芳纶输送带的广泛应用,其损伤问题日益突出。提出一种双目线性X射线芳纶输送带缺陷检测方法。利用2组线阵列X射线光电检测模组进行输送带X射线图像采集,采用分层成像技术将采集到的图像进行分层显示,有效地对输送带表面损伤和骨架损伤进行区分;采用深度学习模型对损伤目标进行检测,提高芳纶输送带检测的准确性,避免芳纶输送带异常未能及时发现造成的重大安全生产事故。With the wide application of mining aramid conveyor belt,the damage problems have become increasingly prominent.Proposed a method for defect detection of aramid conveyor belt by using binocular linear X-rays.Two sets of linear array X-ray photoelectric detection modules were used to collect X-ray images of the conveyor belt,and the layered imaging technology was used to display the collected images in layers,which effectively distinguishes the surface damage and skeleton damage of the conveyor belt.A deep learning model was used to detect the damaged targets,which improves the accuracy of aramid conveyor belt detection and avoids major safety production accidents caused by the failure to timely detect the abnormalities of the aramid conveyor belt.

关 键 词：芳纶 输送带 X射线 分层成像 损伤检测 

分 类 号：TD528.1[矿业工程—矿山机电]