摘要
水泵设备运维是保障水泵性能、确保水泵正常运行的重要环节。常见的水泵设备运维监测手段是在故障实际发生后发出报警,本质上属于事后维修,容易引发非计划停机和安全事故,造成经济损失,不利于行业发展。考虑到水泵设备在工业行业的重要性,且现有的水泵监测系统只关注水泵后期故障监测等特点,提出一种基于应力波的全生命周期状态监测诊断技术。该技术从整体上对水泵运行状态进行监测诊断。首先,通过应力波传感器采集水泵设备内部相互运动产生的应力波信号。然后,通过数据采集箱对汇聚进入的多路传感器采集的应力波信号进行处理,并将处理后的信号传入装有分析软件的服务器。最后,结合状态监测分析软件在线监测水泵运行状态,对设备的潜在故障作出预警,从而实现主动性和预测性维护。
Operation and maintenance of water pumping equipment is an important part for ensuring the performance and normal operation of the pumps.The common monitoring method for operation and maintenance of water pumping equipment is to issue an alarm after the actual occurrence of the fault,it is essentially an after- the- fact maintenance.It is easy to cause unplanned downtime and safety accidents,resulting in economic losses,which is not conducive to industry development.and is easy to cause unplanned downtime and safety incidents resulting in economic losses,which is not conducive to the development of the industry.Considering the importance ofwater pumping equipment in the industry and the disadvantage of existing pump monitoring system,a stress wave based full lifecycle condition monitoring and diagnosis technology is proposed.This technology monitors and diagnoses the running state of the pump overall.Firstly,the stress wave signal generated by the mutual movement of the pump equipment is collected by the stress wave sensor,then the stress wave signal collected by the multi- channel sensor gathered by the data acquisition box is processed,and the processed signal is transmitted to the server equipped with analysis software.Finally,the server combines the state monitoring and analysis software to monitor the running status of the pump online and provides early warning of the potential failure of the equipment,thereby achieving active and predictive maintenance.
作者
魏琳
练俊君
田波
WEI Lin;LIAN Junjun;TIAN Bo(ChongQing ChuanYi Software Co. ,Ltd. ,Chongqing 401121,China)
出处
《自动化仪表》
CAS
2019年第7期70-71,75,共3页
Process Automation Instrumentation
关键词
水泵
全生命周期
应力波
设备运维
预测性维护
故障诊断
Water pump
Full lifecycle
Stress wave
Equipment operation and maintenance
Predictive maintenance
Fault diagnosis
