Quality traceability analysis method of whole process product based on process rules and big data

A product quality and analysis method technology, applied in the field of whole process traceability, can solve problems such as inability to guarantee full traceability of product quality information, omission of important information in the production process, etc., to achieve the effects of improving evaluation effectiveness, optimizing sampling, and improving analysis efficiency

Active Publication Date: 2019-01-04
TONGJI UNIV
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Problems solved by technology

However, this method may miss some important information when the production process is v

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  • Quality traceability analysis method of whole process product based on process rules and big data
  • Quality traceability analysis method of whole process product based on process rules and big data

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Embodiment Construction

[0025] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0026] Example figure 1 As shown, the whole-process product quality traceability analysis method specifically includes the following steps:

[0027] 1. Establish a product defect characterization library: This process requires manual conversion of a large amount of image data collected by the sensor into corresponding text defect features, which are stored in the relational database MySql to realize simple query and processing functions. If there are only text defect features also can.

[0028] The product defect characterization library at this time is only preliminary, and will be supplemented in later steps.

[0029] 2. Defect cause tracing: On the basis of the existing product defect characterization database built in step 1, for a new defective individual, first use MySql query statement to query whether there is the same type of defe...

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Abstract

The invention belongs to the technical field of product quality management and control, and particularly discloses a whole-process product quality traceability analysis method based on process rules and big data. The method mainly comprises the following steps: establishing product defect characterization database, process flow monitoring, process evaluation, product quality evaluation, querying product defect characterization database, and reverse optimization of data characterization. The invention uses overall inspection instead of sampling inspection to improve the effectiveness of evaluation and avoid unqualified products leaking to users. Effectively support the follow-up product improvement and development, rule optimization, dynamic design adjustment, spare parts matching optimization, optimization sampling and other work.

Description

technical field [0001] The invention belongs to the technical field of product quality control, and specifically relates to the whole-process traceability technology from product quality to process variables based on big data analysis. Background technique [0002] In the context of modern manufacturing, the structure of industrial products and their manufacturing processes are becoming more and more complex, and the quality of products is determined by a series of processes such as the production of parts and assembly. Different processes have different influences on product quality, and each process has corresponding optimal parameters, such as whether the size of the parts is within the appropriate range; whether the parts have burrs or nodules; welding time, temperature, etc. To achieve a high level of product quality, it is necessary to control each component and the parameters of the assembly process. The process of seeking the best parameters for each process is a pr...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/00G06F16/2457
CPCG06Q10/06395G06Q30/018
Inventor 柳先辉陈宇飞沈嘉男赵卫东
Owner TONGJI UNIV
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