盾构振动在线自动监控系统的设计与研究
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摘要
为预判盾构关键部件可能发生的潜在故障隐患,提高盾构运行可靠性,对海瑞克S261土压平衡盾构再制造过程中的振动在线自动监控系统进行了设计研究。首先将盾构主轴承、主驱动和减速机等设备的振动变化值经过ARM/Cortex-M0+系列的Kinetis-M处理器分析转换后传输至数据集中器,然后利用SCADA软件并结合My SQL数据库技术设计了在线监控系统。此系统为盾构设备故障预警提供了数据支持,对设备维护具有一定的指导意义。
In order to predict the potential failures of the key components and improve the reliability of shield operation,an online automatic monitoring system for shield vibration is developed and designed based on remanufacturing of Herrenknecht S261 EPB shield. Firstly,the vibration data of the shield equipments such as the main bearing,the main drives and the reducers are analyzed by the Kinetis-M processor of the ARM/Cortex-M0 + series,and then transmitted to the data concentrator; and then the online monitoring system is designed by combining the SCADA software with the My SQL database technology. The system can provide data support for the failure warning of the shield equipments,and guide the maintenance of shield equipment.
In order to predict the potential failures of the key components and improve the reliability of shield operation,an online automatic monitoring system for shield vibration is developed and designed based on remanufacturing of Herrenknecht S261 EPB shield. Firstly,the vibration data of the shield equipments such as the main bearing,the main drives and the reducers are analyzed by the Kinetis-M processor of the ARM/Cortex-M0 + series,and then transmitted to the data concentrator; and then the online monitoring system is designed by combining the SCADA software with the My SQL database technology. The system can provide data support for the failure warning of the shield equipments,and guide the maintenance of shield equipment.
引文
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[2]姚兴佳,刘颖明,刘光德,等.大型风电机组振动分析和在线状态监测技术[J].沈阳工业大学学报,2007,29(6):627.YAO Xingjia,LIU Yingming,LIU Guangde,et al.Vibration analysis and online condition monitoring technology for large wind turbine[J].Journal of Shenyang University of Technology,2007,29(6):627.
[3]全建成.关于风力发电机组振动监测系统数据分析和故障预警应用研究[J].风能产业,2016(1):66.QUAN Jiancheng.Study of data analysis and failure warning of wind turbine vibration monitoring system[J].Wind Energy Industry,2016(1):66.
[4]张传健.振动在线监测系统的研制及其在冷连轧机组的应用[J].四川冶金,2006,28(2):44.ZHANG Chuanjian.The system of condition monitoring and its application in continue cold roll mill[J].Sichuan Metallurgy,2006,28(2):44.
[5]冀增华.配电变压器振动在线监测技术研究[J].电气制造,2015(3):54.JI Zenghua.Research on vibration online monitoring of distribution transformer[J].Electrical Manufacturing,2015(3):54.
[6]张宏辉,赵天禅,郑翔,等.盾构核心零部件在线故障诊断技术研究[J].中国机械,2015(20):153.ZHANG Honghui,ZHAO Tianchan,ZHENG Xiang,et al.Research on online fault diagnosis technology of shield core components[J].Machine China,2005(20):153.
[7]蒋庆.地铁盾构设备状态监测与故障诊断研究[D].沈阳:沈阳理工大学,2010.JIANG Qing.Condition monitoring and troubleshooting of metro shield equipment[D].Shenyang:Shenyang Ligong University,2010.
[8]李宵宵.加速度传感器的标定系统与实验研究[D].北京:北京化工大学,2010.LI Xiaoxiao.Calibration system and experimental study of acceleration sensor[D].Beijing:Beijing University of Chemical Technology,2010.
[9]SUTHERLAND P E.Performance calculation for tunnel boring machine motors[C]//Industry Applications Conference,2000.[S.l.]:IEEE,2000(4):2668.
[10]WICK M R,DUTTA P.Reconstruction facility for today's export systems[J].IEEE Export,1989,4(1):26.
[11]YANG Shuhui,DAI Fei,CARDEI M,et al.On connected multiple point coverage in wireless sensor networks[J].International Journal of Wireless Information Networks,2006,13(4):289.
[12]郭建章.盾构机液压系统原位检测技术研究[D].石家庄:石家庄铁道大学,2015.GUO Jianzhang.Research on in-situ detection technology of hydraulic system of shield machine[D].Shijiazhuang:Shijiazhuang Tiedao University,2015.
[13]赵炯,王伟,郑晟,等.盾构关键零部件在线检测与远程诊断技术研究[J].制造业自动化,2010,32(14):1.ZHAO Jiong,WANG Wei,ZHENG Sheng,et al.Study of on-line monitoring and remote diagnosis technique of the key components of shield machine[J].Manufacturing Automation,2010,32(14):1.
[14]欧杨.基于加速度传感器的电机振动测量[D].苏州:苏州科技学院,2016.OU Yang.Motor vibration measuring based on acceleration sensor[D].Suzhou:Suzhou University of Science and Technology,2016.
[15]李一凡.直流电机振动监测及故障特征分析[J].仪器仪表学报,2011(6):114.LI Yifan.Vibration monitoring and fault characteristics analysis for DC motor[J].Chinese Journal of Scientific Instrument,2011(6):114.
[16]在非旋转部件上测量和评价机器的机械振动:第3部分额定功率大于15 k W额定转速在120 r/min至15 000 r/min之间的在现场测量的工业机器:GB/T6075.3—2001[S].北京:中国标准出版社,2001.Mechanical vibration:Evaluation of machine vibration by measurements on non-rotation parts:Part 3:Industrial machines with nominal power above 15 k W and nominal speeds between 120 r/min and 15 000 r/min when measured in situ:GB/T 6075.3—2001[S].Beijing:Standards Press of China,2001.