Numerical control machine tool reliability data collection and analysis system

Abstract

The invention discloses a numerical control machine tool reliability data collection and analysis system. The system comprises the two parts of a hardware platform and collection system software, wherein the hardware platform comprises a sensor, a data collection device, a monitoring upper computer and other core modules; and the system software mainly comprises a user login module for permissionverification, a data collection control module for setting collection parameters, a display module for displaying machine tool real-time state information and a data analysis module for signal analysis. The system is a multi-task monitoring system integrating data collection and processing, state real-time monitoring and information storage and output, and the system is easy to operate and good inportability. Through the system, the working conditions of a numerical control machine tool body can be monitored on line in real time, and the fault rate of machine tool mechanical parts is lowered;and meanwhile, maintenance personnel are assisted in fault diagnosis, and the automatic degree and the software fusion degree are high.

Description

technical field [0001] The invention belongs to the technical field of state monitoring of numerical control machine tools, in particular to a reliability data acquisition and analysis system of numerical control machine tools. Background technique [0002] As a "working machine", machine tools are the cornerstone of the manufacturing industry. High-end CNC machine tools have become an important strategic material for the country. Compared with the world's advanced level, there is still a big gap in the reliability technical indicators of CNC machine tools in my country. The occurrence of machine tool failure and shortened life will bring huge losses to the enterprise. On the one hand, the maintenance cycle of CNC machine tools is long, and once a failure occurs, production may be stopped; on the other hand, due to the high price of various accessories of CNC machine tools, the maintenance cost after machine tool failure is expensive. [0003] Detecting and diagnosing the ...

AI Technical Summary

Problems solved by technology

The self-diagnosis function in the CNC system can complete simple electrical fault diagnosis, but the fault detection and prediction of the mechanical part with the highest fault occurrence rate is still a blind spot

Another commonly used method for state monitoring and fault diagnosis of CNC machine tools is key component monitoring, which generally monitors a single key component of the machine tool, such as the main shaft, screw or bearing.

For example, a machine tool vibration online monitoring system proposed in the patent CN201420470749.X requires the data system to open the corresponding authority to monitor and control the spindle through the machine tool numerical control system, and the function is single, and only the alarm function can be realized.

A machine tool spindle comprehensive performance detection / monitoring test system proposed by patent CN205426517U is a test carried out under loading simulation typical working conditions. The test carried out under this test simulation working condition can only realize the indicators under no-load and simple radial loading detection, and the structure of the monitoring system is complex

[0004] At present, in the field of state monitoring and fault diagnosis of CNC machine tools, there is a lack of an online monitoring system for the entire machine tool body, followed by a lack of a diagnosis and monitoring system for multiple working conditions

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