基于UWB空间定位技术的铆接质量检测系统研究
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摘要
针对铁路货车车辆制造过程中底架下制动拉杆销钉漏铆和铆接不合格的问题,设计了一种具有空间定位功能的智能检测铆接系统,可在铆接时检测铆接质量是否合格,并依据铆枪上的电子定位标签识别出相应的铆接位置。该智能检测铆接系统包括智能铆接系统和空间定位系统两个部分,分别实时采集铆接过程中铆钉的铆接力、铆接位移和相应位置信息。现场试验结果表明,基于UWB空间定位技术的智能检测铆接系统在检测铆接质量的同时可以有效识别铆接的位置,进行铆接质量管理,防止漏铆的情况发生,以此可以建立各铆接点位置信息相关的质量检查数据库,为产品质量回溯提供查询依据,为车辆的行车安全提供保障。
Targeting the problem of missing riveting and unqualified riveting of brake pull bar pin under the chassis in the process of freight vehicle manufacturing, an intelligent detection system for riveting with spatial positioning function is designed. This system includes two parts: the intelligent riveting system and the spatial positioning system. The riveting force, rivet displacement and corresponding position information of rivet during the riveting process are collected in real time. The test results show that the intelligent detection system for riveting based on UWB spatial positioning technology can effectively identify the riveting position while detecting the quality of riveting, carry out riveting quality management, and prevent the occurrence of missing riveting. The quality inspection database related to the location information of each riveting point could be established to provide the evidentiary basis for product quality tracing and the quality assurance for the driving safety of vehicles.
Targeting the problem of missing riveting and unqualified riveting of brake pull bar pin under the chassis in the process of freight vehicle manufacturing, an intelligent detection system for riveting with spatial positioning function is designed. This system includes two parts: the intelligent riveting system and the spatial positioning system. The riveting force, rivet displacement and corresponding position information of rivet during the riveting process are collected in real time. The test results show that the intelligent detection system for riveting based on UWB spatial positioning technology can effectively identify the riveting position while detecting the quality of riveting, carry out riveting quality management, and prevent the occurrence of missing riveting. The quality inspection database related to the location information of each riveting point could be established to provide the evidentiary basis for product quality tracing and the quality assurance for the driving safety of vehicles.
引文
[1]同志学,赵涛,贺利乐,等.基于双目视觉的工程车辆定位与行驶速度检测[J].中国机械工程,2018,29(4):423-428.
[2]廖健君,倪文波,王雪梅.基于BP神经网络的铆接位置识别方法设计[J].制造业自动化,2016,38(1):38-41.
[3]杨志光,张永林,谢经明,等.基于双目视觉和约束条件的行人目标定位[J].中国机械工程,2016,27(23):3171-3175.
[4]肖竹,王勇超,田斌,等.超宽带定位研究与应用:回顾和展望[J].电子学报,2011,39(1):133-141.
[5]HIGHTOWER J,BORRIELLO G.Location systems for ubiquitous computing[J].IEEE Computer,2001,34(8):57-66.
[6]陈小斯,沈重,周群,张鲲,等.基于TDOA算法的差分UWB室内定位系统研究[J].现代电子技术,2018,41(6):45-49.
[7]贺晶晶,姜平,冯晓荣.基于UWB的无人运输车的导航定位算法研究[J].电子测量与仪器学报,2016,30(11):1743-1749.
[8]黄志超,刘晓坤,占金青.铝合金板料摆碾铆接与直压铆接比较分析[J].中国机械工程,2013,24(9):1233-1239.
[9]黄舒彦,李永兵,楼铭,等.基于力与位移信号的自冲铆接质量在线监测[J].机械设计与研究,2011,27(3):86-90.
[10]楼铭,李永兵,黄舒彦,等.模钉体积比对异种金属自冲铆接接头成形性能影响分析[J].中国机械工程,2009,20(15):1873-1876.
[11]王纯贤,骆臣勇,胡明月,等.精裱纸盒双边自动铆接机设计与开发[J].机械,2018,45(10):39-42,72.
[12]施印宽,方辉,张勇,等.登机门装配状态稳定性控制技术研究[J].机械,2017,44(11):10-14.
[13]屠晓东.基于UWB信号的多基站与单基站定位算法的研究与性能分析[D].青岛:中国海洋大学,2012.
[14]王益曼,王霜,何旭.拖拉机智能装配车间定位系统设计[J].机械,2018,45(9):63-69.
[15]柳宁.货车转向架新型智能铆接设备及质量监测系统的研制[D].成都:西南交通大学,2018.
[2]廖健君,倪文波,王雪梅.基于BP神经网络的铆接位置识别方法设计[J].制造业自动化,2016,38(1):38-41.
[3]杨志光,张永林,谢经明,等.基于双目视觉和约束条件的行人目标定位[J].中国机械工程,2016,27(23):3171-3175.
[4]肖竹,王勇超,田斌,等.超宽带定位研究与应用:回顾和展望[J].电子学报,2011,39(1):133-141.
[5]HIGHTOWER J,BORRIELLO G.Location systems for ubiquitous computing[J].IEEE Computer,2001,34(8):57-66.
[6]陈小斯,沈重,周群,张鲲,等.基于TDOA算法的差分UWB室内定位系统研究[J].现代电子技术,2018,41(6):45-49.
[7]贺晶晶,姜平,冯晓荣.基于UWB的无人运输车的导航定位算法研究[J].电子测量与仪器学报,2016,30(11):1743-1749.
[8]黄志超,刘晓坤,占金青.铝合金板料摆碾铆接与直压铆接比较分析[J].中国机械工程,2013,24(9):1233-1239.
[9]黄舒彦,李永兵,楼铭,等.基于力与位移信号的自冲铆接质量在线监测[J].机械设计与研究,2011,27(3):86-90.
[10]楼铭,李永兵,黄舒彦,等.模钉体积比对异种金属自冲铆接接头成形性能影响分析[J].中国机械工程,2009,20(15):1873-1876.
[11]王纯贤,骆臣勇,胡明月,等.精裱纸盒双边自动铆接机设计与开发[J].机械,2018,45(10):39-42,72.
[12]施印宽,方辉,张勇,等.登机门装配状态稳定性控制技术研究[J].机械,2017,44(11):10-14.
[13]屠晓东.基于UWB信号的多基站与单基站定位算法的研究与性能分析[D].青岛:中国海洋大学,2012.
[14]王益曼,王霜,何旭.拖拉机智能装配车间定位系统设计[J].机械,2018,45(9):63-69.
[15]柳宁.货车转向架新型智能铆接设备及质量监测系统的研制[D].成都:西南交通大学,2018.