基于CRIO的数控机械在线监测诊断系统设计

Design of Online Monitoring and Diagnosis System for CNC Machinery Based on CRIO

摘要:

目前提出的数控机械在线监测诊断系统温度采集准确度较低，导致诊断过程稳定性及准确性较差，为此基于CRIO设计了一种新的数控机械在线监测诊断系统，以期更好地分析数控机械的运行状态。通过数控机床在线监测模块和远程设备管理及故障诊断模块两大模块组成系统总结构，硬件设备包括nTI CPIO驱动器、新型伺服电动机、采集卡、传感器以及PC上位机，分别设置了多参数在线监测模块、网络控制模块、设备管理模块和故障诊断模块。通过LabView来编写软件语言，在采集中的信号中提取数控机械运行状态数据，通过格拉布斯准则估算标准偏差，去掉误差数据后，输出有效数据。完成数据的采集及存储，实现数控机械在线监测诊断系统设计。实验结果表明，基于CRIO的数控机械在线监测诊断系统可以有效提高采集精准度，增强数控机械在线监测诊断系统的准确性及稳定性。

Abstract:

The currently proposed online monitoring and diagnosis system for CNC machinery has low temperature acquisition accuracy, which leads to poor stability and accuracy of the diagnosis process. For this reason, a new online monitoring and diagnosis system for CNC machinery is designed based on CRIO to better analyze CNC The operating state of the machine. The overall structure of the system is composed of two major modules: CNC machine tool online monitoring module and remote equipment management and fault diagnosis module. The hardware equipment includes nTI CPIO driver, new servo motor, acquisition card, sensor and PC upper computer. Multi-parameter online monitoring module is set respectively , Network control module, equipment management module and fault diagnosis module. Use LabView to compile the software language, extract the operating state data of the CNC machine from the collected signals, estimate the standard deviation through Grubbs criterion, remove the error data, and output valid data. Complete data collection and storage, and realize the design of online monitoring and diagnosis system for CNC machinery. The experimental results show that the online monitoring and diagnosis system for CNC machinery based on CRIO can effectively improve the accuracy of acquisition and enhance the accuracy and stability of the online monitoring and diagnosis system for CNC machinery.