Method and system for predicting service life of cutting platform based on network model, and readable storage medium

A network model, cutting platform technology, applied in measuring/indicating equipment, metal processing mechanical parts, metal processing equipment, etc., to achieve the effect of improving monitoring accuracy, high monitoring accuracy, and ensuring real-time effectiveness

Inactive Publication Date: 2021-03-09
苏州众智诺成信息科技有限公司
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Problems solved by technology

[0003] In order to achieve precise control of cutting tool wear status monitoring, it is necessary to develop a matching system for control. The system obtains images of tool wear areas through image recognition, analyzes image features, generates wear information, and monitors tool wear However, in the process of control, how to realize the monitoring of tool wear status and tool life prediction at the same time of precise control is an urgent problem to be solved.

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  • Method and system for predicting service life of cutting platform based on network model, and readable storage medium
  • Method and system for predicting service life of cutting platform based on network model, and readable storage medium
  • Method and system for predicting service life of cutting platform based on network model, and readable storage medium

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[0068] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0069] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0070] figure 1 A flow chart of a network model-based cutting platform life prediction method of the present invention is shown.

[0071] Such as figure 1 As shown, the first aspect of the present...

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Abstract

The invention relates to a method and system for predicting the service life of a cutting platform based on a network model, and a readable storage medium. The method comprises the steps: setting a sampling interval, collecting cutting sound signals at different sampling time, and preprocessing the sound signals to obtain sound source information; comparing the sound source information with presetsound source information to obtain a deviation ratio; judging whether the deviation ratio is greater than a preset threshold value or not; and if yes, generating first wear information, and displaying the first wear information in a preset manner.

Description

technical field [0001] The invention relates to a network model-based cutting platform life prediction method, in particular to a network model-based cutting platform life prediction method, system and readable storage medium. Background technique [0002] With the development of computer technology, more and more attention has been paid to shared fruit juice machine technology, especially the prevalence of intelligent technology, which provides many theoretical methods for research in this field. At the same time, research in this direction has also promoted the development of sensor technology, pattern recognition technology, signal processing technology and intelligent technology. The earliest intelligent behavior is reflected in the symbolic reasoning of computers, that is, expert systems. A large number of development practices of applied expert systems have confirmed that expert systems are an important part of artificial intelligence applications, but they are based o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0957B23Q17/0971B23Q17/0995
Inventor 李衍太张文平
Owner 苏州众智诺成信息科技有限公司
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