Numerical control machine tool health diagnosis method

Abstract

The invention belongs to the field of automatic equipment prediction and maintenance and relates to a numerical control machine tool health diagnosis method. The method is characterized in that a Zigbee node is adopted to complete a function of detecting parameters such as vibration, temperature and the like, and uploads the parameters to a zigbee gateway; the Zigbee gateway transmits the detecteddata to a cloud server for digital signal processing, data mining and analysis processing; the cloud server performs training test of the above data to obtain a health degree model; the cloud servertransmits the health degree model to a Zigbee gateway; the clock circuit can synchronize the system time and record the time when recording data. For online predictive maintenance of the numerical control machine tool, the fastest and most accurate predictive maintenance information is provided; a predictive maintenance alarm threshold value is properly selected, the vibration signal sampling frequency can be changed according to the health degree condition, so the system obtains the more frequency domain data information when the health degree is low, and monitoring and analysis are facilitated.

Description

technical field [0001] The invention belongs to the field of predictive maintenance of automation equipment, and relates to a method for diagnosing the health of a numerically controlled machine tool. Background technique [0002] The performance and reliability of CNC machine tools are crucial, which determines the service life and work efficiency of CNC machine tools. At present, the maintenance of CNC machine tools is mostly carried out by accident maintenance and planned maintenance. The "accident maintenance" method is used The equipment is repaired until it breaks down. In case of a sudden accident, huge losses may be caused. The regular maintenance method is carried out in the static condition of the equipment not running, which has the following disadvantages: the equipment state in the non-working condition is significantly different from that in operation, which affects the accuracy of judgment. Due to the regular inspection and maintenance, even if the equipment ...

AI Technical Summary

Problems solved by technology

[0002] The performance and reliability of CNC machine tools are crucial, which determines the service life and work efficiency of CNC machine tools. At present, the maintenance of CNC machine tools is mostly carried out by accident maintenance and planned maintenance. The "accident maintenance" method is used The equipment will be repaired until it breaks down. In case of a sudden accident, huge losses may be caused

The regular maintenance method is carried out under the static condition of the equipment not running, which has the following disadvantages: the equipment status under the non-working condition is significantly different from that in operation, which affects the accuracy of judgment

Due to regular inspection and maintenance, even when the equipment is in good condition, it still needs to be tested and repaired according to the plan, resulting in waste of manpower and material resources

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