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
CN112454008AInactive Publication Date: 2021-03-09苏州众智诺成信息科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
苏州众智诺成信息科技有限公司
Publication Date
2021-03-09
Estimated Expiration
Not applicable · inactive patent

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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.
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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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