轮胎胎面磨损检测技术研究进展
Research development of tire tread wear detection technology
摘 要
对轮胎胎面磨损的检测主要依赖人工与机械测量，其效率低、精度差，难以满足要求。相对于传统技术，机器视觉技术因具有高效率、高精度、非接触等优势，受到学者们的青睐。结合近年来国内外学者的研究进展，对轮胎胎面磨损检测技术进行了归纳与分析，并对未来的发展趋势进行了预测，可为今后的研究提供参考。
轮胎胎面
磨损检测
machine vision
tire tread
wear detection
Abstract
At present, the detection of tire tread wear mainly relies on manual and mechanical measurement, which has low efficiency and poor accuracy, and it is difficult to meet the requirements. Compared with traditional technology, machine vision technology is favored by scholars due to its high efficiency, high precision, and noncontact advantages. Combined with recent progresses of researches at home and abroad, the tire tread wear detection technology is introduced and its future development trend is predicted, which provides reference for future research.
中图分类号 U461 TG115.28 DOI 10.11973/wsjc202107020
所属栏目 综述
基金项目 2019年度广东江门市基础与理论科学研究类科技计划项目（2019JC01008）
收稿日期 2020/12/10
修改稿日期
网络出版日期
作者单位点击查看
联系人作者崔敏(cuiminny@126.com)
备注庞博维(1996-),男,硕士,主要研究方向为机器视觉与图像处理
引用该论文: PANG Bowei,CUI Min,YANG Kun,FENG Miaomiao,LU Zesen. Research development of tire tread wear detection technology[J]. Nondestructive Testing, 2021, 43(7): 83～89
庞博维,崔敏,杨琨,冯苗苗,卢泽森. 轮胎胎面磨损检测技术研究进展[J]. 无损检测, 2021, 43(7): 83～89
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参考文献
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【2】肖军. 汽车轮胎花纹及其磨蚀平花的处理和预防[J].中国轮胎资源综合利用,2016(3):40-43.
【3】WALTERS M H.Uneven wear of vehicle tires[J].Tire Science and Technology,1993,21(4):202-219.
【4】克拉盖尔斯基. 摩擦磨损与润滑手册[M].北京:机械工业出版社,1985.
【5】张超. 轮胎磨损图形化分析的研究[D].北京:北京交通大学,2008.
【6】李文辉, 魏宏,吴光强.轮胎磨损解析研究[J].汽车技术,2002(6):13-15.
【7】王野平. 论轮胎的磨损[J].汽车技术,1999(6):19-23.
【8】叶海雄, 杨斌超,匡兴红,等.基于物联网轮胎花纹深度智能检测系统设计与实现[J].电子测量技术,2018,41(7):11-15.
【9】张超, 程荫杭.改进阈值法的轮胎表面磨损的特征提取[J].北京交通大学学报,2007,31(2):57-61.
【10】陶靖. 基于图像处理的汽车轮胎感观测量系统研制[D].合肥:合肥工业大学,2012.
【11】张俊杰. 基于多CCD的汽车轮胎图像特征分析系统研制[D].合肥:合肥工业大学,2013.
【12】HUANG S Y,SYU Y J.Based on the texture analysis to inspect the tread worn status on the tire[C]//2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.Japan:[s.n.],2014:431-434.
【13】WANG S,LIU Y,LI D X,et al.An improved SIFT feature extraction method for tyre tread patterns retrieval[C]//2014 Seventh International Symposium on Computational Intelligence and Design.Hangzhou:[s.n.],2014:539-543.
【14】YAN H Y,LIU Y.An improved texture feature extraction method based on radon transform[C]//2014 Seventh International Symposium on Computational Intelligence and Design.Hangzhou:[s.n.],2014:481-485.
【15】王晓嘉, 高隽,王磊.激光三角法综述[J].仪器仪表学报,2004,25(增刊2):601-604,608.
【16】何亮亮, 杨永跃,孙盼庆.一种轮胎胎面磨损的简洁实用测量方法[J].电子设计工程,2012,20(17):128-131.
【17】WANG J K, HUANG S Y. Measuring tread depth with light-spot analysis[C]//2017 IEEE International Conference on Mechatronics and Automation (ICMA).[S.l.]:[s.n.], 2017.
【18】崔敏, 杨怀斌,谢盛珍,等.基于机器视觉的汽车轮胎磨损检测系统设计[J].制造业自动化,2020,42(1):10-14.
【19】LUNG C W,CHIU Y C,HSIEH C W.A laser-based vision system for tire tread depth inspection[C]//2016 International Symposium on Computer,Consumer and Control (IS3C).Xi'an:[s.n.], 2016:850-853.
【20】王希波, 李爱娟,高金胜,等.基于机器视觉的轮胎花纹深度测量系统研究[J].国外电子测量技术,2019,38(4):66-70.
【21】HUANG S Y,CHEN Y C,WANG J K.Measurement of tire tread depth with image triangulation[C]//2016 International Symposium on Computer,Consumer and Control (IS3C).Xi'an:[s.n.],2016:303-306.
【22】MATSUZAKI R,TODOROKI A.Wireless flexible capacitive sensor based on ultra-flexible epoxy resin for strain measurement of automobile tires[J].Sensors and Actuators A:Physical,2007,140(1):32-42.
【23】SERGIO M, MANARESI N, TARTAGNI M, et al. On a road tire deformation measurement system using a capacitive-resistive sensor[J]. Smart Materials and Structures, 2006, 15(6):1700.
【24】PALMER M, BOYD C, MCMANUS J, et al. Wireless smart-tires for road friction measurement and self state determination[C]//43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Virginia:AIAA,2002:1548.
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