CNC predictive maintenance system and method based on machine learning

A machine learning and maintenance system technology, applied in machine learning, transmission systems, instruments, etc., can solve problems such as single data storage means, small equipment storage capacity, and no deep data processing

Active Publication Date: 2020-08-28
东莞先知大数据有限公司
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • CNC predictive maintenance system and method based on machine learning
  • CNC predictive maintenance system and method based on machine learning
  • CNC predictive maintenance system and method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Below in conjunction with accompanying drawing and example the present invention will be further described:

[0048] see figure 1 , a CNC predictive maintenance system based on machine learning, including: CNC status monitoring system, data transmission network, CNC service cloud platform and mobile terminal. The CNC state monitoring system is used for the collection and monitoring of the running state data of the CNC machine tool and the workpiece production process data, and sends the information data to the CNC service cloud platform through the data transmission network; the data transmission network is used for The collected data is sent to the CNC service cloud platform through wireless communication methods such as WiFi, ZigBee and GPRS; the CNC service cloud platform is used to store, model and analyze the collected data; the mobile terminal, Used to display collected data and analysis results on smartphones and tablets.

[0049] Further, the CNC state monitor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00H04L29/08
CPCH04L67/12
Inventor 余旸梁帆
Owner 东莞先知大数据有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap