Intelligent quality control method and system

A management and control system and intelligent technology, applied in manufacturing computing systems, neural learning methods, data processing applications, etc., can solve problems such as wasting manpower and material resources, unsolvable detection and control methods, and unqualified, so as to save production costs and improve The effect of repairing efficiency and improving quality control ability

Inactive Publication Date: 2021-09-24
SHENZHEN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In short, product quality is determined by various parameters in the production process. For the situation where a certain parameter exceeds the threshold, early warning and screening can be easily performed. However, it often happens that the final product is unqualified for all production parameters. In response to this situation, the current detection and control methods cannot be solved, resulting in problems in actual production that can only be solved by trial and error, wasting a lot of manpower and material resources

Method used

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  • Intelligent quality control method and system

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Embodiment Construction

[0019] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0020] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0021] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0022] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...

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Abstract

The invention discloses an intelligent quality control method and system. The method comprises the following steps: collecting production parameter data related to parts of a production line; inputting the production parameter data into a deep learning model, predicting whether products produced on site are qualified or not and outputting the result, giving qualified scores for the qualified products, refining the product quality further, giving correction suggestions for the unqualified products and transmitted to an execution unit for execution, conducting actual detection on the corrected products by the execution unit, and transmitting the result to the server so as to strengthen or improve the adjustment strategy of the server, wherein the deep learning model is obtained through training by taking a set loss function as a target, and each training sample represents a corresponding relation between the production parameter data and whether the related product is qualified or not. The method can be applied to actual production, predicts and guides a production result, enables a quality control system to be integrated and intelligent, and solves problems which cannot be solved by manpower.

Description

technical field [0001] The present invention relates to the technical field of intelligent manufacturing, and more specifically, to an intelligent quality control method and system. Background technique [0002] Quality control is an important link in the production process, which is directly related to the survival of the manufacturer. For spare parts or simple products, whether it is qualified or not depends on on-site inspection, but for assembled parts or complex products, the situation will be much more complicated. Every part is qualified, and the assembly parameters meet the requirements, but the final measured product function is not qualified from time to time. For example, for the production of air compressors, it is processed and assembled by many parts and hundreds of processes. Since it adopts standardized production, each part has quality inspection. If a certain parameter exceeds the threshold, the machine can automatically alarm and screen . However, since...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/04G06N3/08G06Q10/04
CPCG06Q10/06395G06Q10/04G06Q50/04G06N3/08Y02P90/30
Inventor 渠元菊楚湘华王阳鹏侯增涛
Owner SHENZHEN UNIV
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