System and method for intelligent monitoring and real-time compensation of automation device

Abstract

The present invention discloses and provides a system and a method for monitoring and statistical process control analysis of real-time collected device data, and finally feeding back the data to an automation device for system compensation and calibration. The system for intelligent monitoring and real-time compensation of the automation device comprises a device running real-time data transceiver module, a data transceiving and monitoring module and a data coupling analysis module which are electrically connected in order, and the device running real-time data transceiver module is connectedwith the working part of the automation device. The method provided by the invention comprises the following steps of: data collection, data coupling analysis, intelligent diagnosis, automatic feedback and compensation correction, and feedback to manual maintenance. The system and the method for intelligent monitoring and real-time compensation of automation device are suitable for the field of production of automated intelligent devices.

Description

technical field [0001] The invention relates to an intelligent monitoring and real-time compensation system and method for automation equipment. Background technique [0002] In high-precision and expensive automation equipment, it is necessary to monitor the operating status of the equipment in real time, and to timely warn and control the possible risks of the equipment. After long-term sports wear, the operating parameters of automation equipment will deviate regularly. [0003] Some parts of automation equipment, especially the moving shaft screw, guide rail, linear motor, servo motor, etc., will wear out regularly after a period of aging, and if this type of wear is not well maintained and maintained, after long-term operation May cause malfunction. The existing equipment feeds back the error information of the main control to the three-color light for alarm and early warning, but the prevention ability before the system alarm is weak. The root cause is that the auto...

AI Technical Summary

Problems solved by technology

However, for new types of faults, or multi-factor mixed results caused by complex reasons, the fault identification program cannot determine the specific cause, and further independent collection and analysis of detailed data is still required to make a diagnosis

[0010] Existing system solutions are mostly for stand-alone data monitoring, but for production line or factory level, fault prediction involving multi-process interconnection is still a major pain point

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