CNC predictive maintenance system and method based on machine learning

Abstract

The invention discloses a CNC predictive maintenance system and method based on machine learning, and the system comprises a CNC state monitoring system which is used for collecting and monitoring theoperation state data of a numerical control machine tool and the production process data of a workpiece, and transmitting the information data to a CNC service cloud platform through a data transmission network; a data transmission network which is used for sending the acquired data to the CNC service cloud platform through wireless communication modes such as WiFi, ZigBee and GPRS; a CNC servicecloud platform which is used for storing, modeling and analyzing the acquired data; and a mobile terminal which is used for displaying the acquired data and the analysis result on the smart phone andthe tablet personal computer. The invention further discloses a CNC predictive maintenance method based on machine learning. The CNC predictive maintenance method comprises the following steps of S1,CNC data collecting and transmitting; S2, data storage; S3, data analysis and processing; and S4, data pushing. According to the method, predictive maintenance of the CNC equipment is facilitated, the detection accuracy is improved, and accidents are avoided.

Description

technical field [0001] The invention belongs to the technical field related to intelligent detection of CNC machine tools, and relates to a CNC predictive maintenance system and method based on machine learning. Background technique [0002] With the progress of science and technology and the development of technology, the modern manufacturing industry has undergone revolutionary changes, and automation, intelligence and unmanned have become the development trend of CNC machine tools. For long-term operation of CNC machine tool equipment and systems, reducing the failure rate of equipment is the key to ensuring high production efficiency. Therefore, predictive maintenance strategies are gradually gaining the attention of technicians. [0003] Predictive maintenance is to collect all kinds of data generated by production equipment in real time through monitoring devices such as various sensors installed on production equipment, so as to ensure the evaluation of the operation...

AI Technical Summary

Problems solved by technology

[0005] 1. The data storage method is single, relying only on the mobile storage device configured separately, the storage capacity of the device is small, and it needs to be exported regularly, which is a serious waste of manpower and material resources;

[0006] 2. The data processing method is simple, and the data is not processed in depth, which affects the analysis results

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