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A tool status online monitoring method and management system

A cutting tool and state technology, applied in the direction of manufacturing tools, measuring/indicating equipment, metal processing equipment, etc., can solve problems such as wear and tool damage, achieve high monitoring sensitivity, timely damage abnormalities, and reduce the high rate of processed products Effect

Active Publication Date: 2021-06-22
厦门嵘拓物联科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of traditional tool damage and wear abnormal state monitoring, the present invention proposes an online tool state monitoring method and management system

Method used

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  • A tool status online monitoring method and management system
  • A tool status online monitoring method and management system
  • A tool status online monitoring method and management system

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Embodiment Construction

[0044] The present invention will be further described below through specific embodiments.

[0045] An online monitoring method for tool status, including damage monitoring and wear monitoring; damage monitoring mainly monitors tool damage, which requires high effectiveness, and uses an improved multi-feature time series dynamic matching algorithm for monitoring; wear monitoring mainly monitors tool wear, It requires high accuracy of tool wear and belongs to predictive monitoring, and uses an improved Laser-cyclic neural network model for monitoring.

[0046] Taking the RT-ITMS intelligent tool management system as a prototype, the implementation of the present invention is described in detail. RT-ITMS intelligent tool management system is developed based on the Internet of Things, big data and artificial intelligence technology. It has complete tool management functions and database management functions, and can manage the entire life cycle of different manufacturers and diff...

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Abstract

The invention relates to an on-line monitoring method and management system for the state of a cutting tool, comprising a damage monitoring method and a wear monitoring method. The damage monitoring method is mainly aimed at monitoring the damage of a cutting tool, and adopts an improved multi-feature time series dynamic matching algorithm for monitoring; the wear monitoring sub The method is mainly aimed at the monitoring of tool wear, and the improved Laser-cyclic neural network model is used for monitoring; the management system includes basic information module, tool requisition module, tool purchase module, tool use module, tool return module, tool monitoring and early warning module, tool Grinding module, laser signal processing module and sensor signal processing module. The invention can effectively solve the problems of lack of real-time performance, precision and comprehensiveness in traditional cutter state monitoring, and effectively improve the production efficiency and product quality of the manufacturing industry.

Description

technical field [0001] The invention relates to the fields of industrial Internet and intelligent manufacturing, in particular to an online tool state monitoring method and management system. Background technique [0002] With the steady advancement of my country's "intelligent manufacturing" strategy, the level of automation and intelligence in the manufacturing industry is getting higher and higher, and the application of CNC machine tools is becoming more and more extensive. As the core component of CNC machine tools, the state of the cutting tool directly affects the final quality of the product. Therefore, it is particularly important to monitor the state of the cutting tool in the process of CNC machining. [0003] At present, the monitoring of the tool state in the traditional CNC machining process lacks scientific, comprehensive and effective intelligent monitoring and early warning measures. There are several main problems: First, the monitoring of the tool state of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/09B23Q17/0957
Inventor 王维龙郑孟凯杨开益
Owner 厦门嵘拓物联科技有限公司
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