面向油田注采设备的手持式状态监测与故障诊断系统

针对目前油田注采设备的维修存在着故障类型多、设备分散、连续工作要求高,传统的基于PC机模式故障诊断技术灵活性差等问题,对油田注采设备的使用现状、运行特点进行了详细分析,确定了以振动为主要检测指标的技术路线;提出了一种基于嵌入式技术的手持式状态监测与故障诊断系统的研究方案。通过采用多通道数据采集技术,实现了手持巡检式实时数据采集,并结合多种信号分析方法,搭建了可配置、占用空间小的信号处理构件库与图形用户界面构件库,完成了对信号特征的提取、在线分析与诊断;设计、实现了具备低功耗设计的上下位机双CPU结构的监测系统。研究结果表明,该系统能够实现对油田注采设备的准确监测,且运行稳定,具有良好的应用前景。

Hand-held state monitoring oil fields pouring and fault diagnosis system for and pick equipment

Aiming at various problems existing in repairing of pouring and picking equipments（PPE）, detailed analysis on situations and working features of PPE was carried out. These problems including complicated fault types, dispersive equipments and strict standard for continuous work can not be solved by the traditional fault diagnosis technology（FDT）based on PC, because the FDT is lack of flexibility. Based on analysis, the solution which adopts vibration as main index was confirmed. Besides, a new kind of hand-held state monitoring and fault diagnosis system （SM-FDS） based on embedded technology was put forward. With the help of multi-channel data collection technology, hand-held circuit check real-time data collection and signal analysis component （SAC）, signal analysis component （SAC） library and the graphical user interface （GUI）component library which was configurable and space-saving were established. A monitoring system with upper-lower dual-CPU which has low power consumption was constructed. The results indicate that this system which monitors pouring and picking equipments（PPE） accurately and stably is promising.