CN116165213A - Stainless steel chain product quality inspection method and system - Google Patents
Stainless steel chain product quality inspection method and system Download PDFInfo
- Publication number
- CN116165213A CN116165213A CN202211602848.2A CN202211602848A CN116165213A CN 116165213 A CN116165213 A CN 116165213A CN 202211602848 A CN202211602848 A CN 202211602848A CN 116165213 A CN116165213 A CN 116165213A
- Authority
- CN
- China
- Prior art keywords
- quality inspection
- stainless steel
- steel chain
- quality
- results
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The application relates to the technical field of metal product inspection, and provides a stainless steel chain product quality inspection method and system, wherein the method comprises the following steps: image acquisition is carried out on a plurality of stainless steel chain products to be inspected; performing appearance defect detection on a plurality of stainless steel chain products to be detected based on a plurality of image acquisition results; screening a plurality of stainless steel chain products to be inspected based on a plurality of appearance defect detection results; collecting production parameters based on a plurality of screened stainless steel chain products; comparing the plurality of product production parameter sets based on the standard production parameter information database; setting a quality test sample based on a plurality of quality test indexes and a plurality of product production parameter comparison results; quality inspection is performed based on the plurality of quality inspection indicators and the quality inspection sample data set. The method can solve the technical problem that in the prior art, the quality inspection accuracy is low due to the fact that the quality inspection method for the stainless steel chain product is single.
Description
Technical Field
The application relates to the technical field of metal product inspection, in particular to a stainless steel chain product quality inspection method and system.
Background
In recent years, along with the continuous development of the economy in China, the demand for metal products is continuously increased, and the market scale of the metal product industry is driven to be continuously increased. The metal product industry includes structural metal product manufacture, metal tool manufacture, container and metal packaging container manufacture, stainless steel and similar commodity metal product manufacture, and the like.
In order to improve the production and manufacturing quality of the metal structural part, strengthen the supervision, inspection and quality control of relevant links of the production flow of the metal product, ensure the complete implementation and implementation of the structural part design requirement, and have a complete quality inspection method.
In real life, the quality inspection of the stainless steel chain products is mainly carried out by quality inspection indexes, and the method has low accuracy and often does not meet the quality inspection requirements of users.
In summary, the technical problem of low quality inspection accuracy caused by a single quality inspection method for stainless steel chain products in the prior art exists.
Disclosure of Invention
Based on the above, it is necessary to provide a method and a system capable of improving the accuracy of quality inspection of stainless steel chain products.
A method for inspecting quality of a stainless steel chain product, the method being applied to a stainless steel chain product quality inspection system, the system being communicatively connected to an image acquisition device, the method comprising: acquiring images of a plurality of stainless steel chain products to be inspected based on the image acquisition device to obtain a plurality of image acquisition results; performing appearance defect detection on the plurality of stainless steel chain products to be detected based on the plurality of image acquisition results to obtain a plurality of appearance defect detection results; screening the stainless steel chain products to be inspected based on the appearance defect detection results to obtain a plurality of screened stainless steel chain products; acquiring production parameters based on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets; based on a standard production parameter information database, comparing a plurality of product production parameter sets to obtain a plurality of product production parameter comparison results; obtaining a plurality of quality inspection indexes, and setting quality inspection samples based on the quality inspection indexes and the product production parameter comparison results to obtain a quality inspection sample data set; and performing quality inspection on the plurality of screened stainless steel chain products based on the plurality of quality inspection indexes and the quality inspection sample data set.
In one embodiment, the appearance defect detection is performed on the stainless steel chain products to be inspected based on the image acquisition results to obtain appearance defect detection results, and the method further includes: obtaining a plurality of preset appearance defect detection indexes; constructing an appearance defect detection image knowledge base based on the plurality of preset appearance defect detection indexes; and carrying out multistage appearance defect comparison on the appearance defect detection image knowledge base and the image acquisition results based on the preset appearance defect detection indexes to obtain the appearance defect detection results, wherein the appearance defect detection results and the image acquisition results have corresponding relations.
In one embodiment, the plurality of stainless steel chain products to be inspected are screened based on the plurality of appearance defect detection results to obtain a plurality of screened stainless steel chain products, and the method further comprises: based on the appearance defect detection results, carrying out appearance quality assessment on the stainless steel chain products to be inspected to obtain appearance quality assessment coefficients; obtaining a preset appearance quality evaluation coefficient; screening the appearance quality evaluation coefficients based on the preset appearance quality evaluation coefficients to obtain a plurality of preferred appearance quality evaluation coefficients meeting the preset appearance quality evaluation coefficients; and matching the plurality of stainless steel chain products to be inspected based on the plurality of preferred appearance quality evaluation coefficients to obtain the plurality of screened stainless steel chain products.
In one embodiment, the obtaining a plurality of appearance quality assessment coefficients, the method further comprises: constructing an appearance quality evaluation model; and inputting the appearance quality evaluation model by taking the appearance defect detection results as input information to obtain the appearance quality evaluation coefficients.
In one embodiment, based on the standard production parameter information database, comparing the plurality of product production parameter sets respectively to obtain a plurality of product production parameter comparison results, the method further comprises: performing product type analysis based on the plurality of stainless steel chain products to be inspected to obtain a plurality of product type analysis results; based on the analysis results of the multiple product types, standard production parameter collection is carried out, and the standard production parameter information database is obtained; obtaining a multi-stage production parameter comparison dimension, wherein the multi-stage production parameter comparison dimension comprises a production material parameter comparison dimension, a production structure parameter comparison dimension and a production performance parameter comparison dimension; and comparing a plurality of product production parameter sets based on the multi-stage production parameter comparison dimension and the standard production parameter information database to obtain a plurality of product production parameter comparison results.
In one embodiment, the obtaining a quality check sample dataset, the method further comprises: historical data query is carried out based on the quality inspection indexes to obtain a plurality of historical quality inspection samples and a plurality of historical product production parameter comparison results, and the historical quality inspection samples and the historical product production parameter comparison results have corresponding relations; carrying out relevance evaluation on the plurality of historical product production parameter comparison results and the plurality of product production parameter comparison results to obtain a plurality of relevance evaluation coefficients; screening the plurality of relevance evaluation coefficients based on a relevance evaluation coefficient threshold, and adding a plurality of historical test samples corresponding to the plurality of relevance evaluation coefficients meeting the relevance evaluation coefficient threshold to a quality test sample database; and carrying out principal component analysis based on the quality inspection sample database to obtain the quality inspection sample data set.
In one embodiment, the quality test sample data set is obtained based on principal component analysis of the quality test sample database, the method further comprising: obtaining a first quality inspection sample characteristic data set according to the quality inspection sample database; performing decentralization processing on the first quality inspection sample characteristic data set to obtain a second quality inspection sample characteristic data set; obtaining a covariance matrix of the first quality test sample characteristic according to the second quality test sample characteristic data set; obtaining a first eigenvalue and a first eigenvector according to the covariance matrix of the first quality inspection sample characteristics; and obtaining the quality inspection sample data set according to the first characteristic value and the first characteristic vector.
A stainless steel chain product quality inspection system, the system in communication with an image acquisition device, the system comprising:
the image acquisition module is used for acquiring images of a plurality of stainless steel chain products to be inspected based on the image acquisition device to obtain a plurality of image acquisition results;
the defect detection module is used for detecting appearance defects of the stainless steel chain products to be detected based on the image acquisition results to obtain appearance defect detection results;
the product screening module is used for screening the stainless steel chain products to be tested based on the appearance defect detection results to obtain a plurality of screened stainless steel chain products;
the parameter acquisition module is used for acquiring production parameters based on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets;
the parameter comparison module is used for respectively comparing the plurality of product production parameter sets based on the standard production parameter information database to obtain a plurality of product production parameter comparison results;
the sample setting module is used for obtaining a plurality of quality inspection indexes, and performing quality inspection sample setting based on the quality inspection indexes and the product production parameter comparison results to obtain a quality inspection sample data set;
the quality inspection module is used for carrying out quality inspection on the plurality of screening stainless steel chain products based on the plurality of quality inspection indexes and the quality inspection sample data set.
According to the method and the system for inspecting the quality of the stainless steel chain products, the appearance defect detection knowledge base is constructed according to the historical appearance defect image data, and the appearance defect products which are difficult to perceive by naked eyes can be found by performing multi-level appearance defect comparison on the appearance defect detection knowledge base and the image acquisition results, so that the accuracy of screening the stainless steel chain products to be inspected based on the appearance defect detection results is improved. Based on the quality inspection indexes and the quality inspection sample data sets, quality inspection is carried out on the plurality of screened stainless steel chain products, the technical problem that the quality inspection accuracy is low due to the fact that the quality inspection method for the stainless steel chain products is single in the prior art is solved, quality inspection is carried out on the plurality of screened stainless steel chain products according to the quality inspection indexes and the quality inspection sample data sets, and the accuracy of the quality inspection of the stainless steel chain products is improved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a schematic flow chart of a method for inspecting quality of stainless steel chain products;
fig. 2 is a schematic structural diagram of a stainless steel chain product quality inspection system.
Reference numerals illustrate: the device comprises an image acquisition module 1, a defect detection module 2, a product screening module 3, a parameter acquisition module 4, a parameter comparison module 5, a sample setting module 6 and a quality inspection module 7.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides a stainless steel chain product quality inspection method, the method is applied to a stainless steel chain product quality inspection system, the system is in communication connection with an image acquisition device, and the method includes:
step S100: acquiring images of a plurality of stainless steel chain products to be inspected based on the image acquisition device to obtain a plurality of image acquisition results;
specifically, the image acquisition device is equipment for acquiring real-time images of stainless steel chain products, the equipment comprises a lens, a frame memory, an information transmission module and the like, and the acquired real-time images are transmitted to the quality inspection system through the information transmission module. And carrying out multi-angle and all-dimensional image acquisition on a plurality of stainless steel chain products which are not subjected to quality inspection through an image acquisition device. And obtaining a plurality of image acquisition results. The plurality of image acquisitions includes image acquisitions of the entire surface, parts and locations of the stainless steel chain product, such as: parts such as chain plates, chain pins, shaft sleeves and the like. And by carrying out image acquisition on the product, data support is provided for appearance detection of the next step.
Step S200: performing appearance defect detection on the plurality of stainless steel chain products to be detected based on the plurality of image acquisition results to obtain a plurality of appearance defect detection results;
in one embodiment, step S200 of the present application further includes:
step S210: obtaining a plurality of preset appearance defect detection indexes;
step S220: constructing an appearance defect detection image knowledge base based on the plurality of preset appearance defect detection indexes;
step S230: and carrying out multistage appearance defect comparison on the appearance defect detection image knowledge base and the image acquisition results based on the preset appearance defect detection indexes to obtain the appearance defect detection results, wherein the appearance defect detection results and the image acquisition results have corresponding relations.
Specifically, the appearance defect detection indexes comprise chain plate cracks, chain plate connection position cracks, chain pin missing, oversized chain pins, shaft sleeve cracks and other factors which can influence the normal use of products through appearance discovery. And obtaining the appearance defect image data of the stainless steel chain product meeting the preset appearance defect detection indexes from the historical image data according to the preset appearance defect detection indexes, wherein the appearance defect detection image knowledge base comprises a plurality of historical appearance defect image data of the stainless steel product. Based on the preset appearance defect detection indexes, comparing the image acquisition results of the stainless steel chain products with historical appearance defect image data in the appearance defect detection image knowledge base to obtain comparison results, wherein the appearance defect detection results are obtained to judge whether the stainless steel chain products have appearance defects or not, and the appearance defect detection results are in one-to-one correspondence with the image acquisition results. And carrying out first-round quality detection on the stainless steel chain product by obtaining an appearance defect detection result, thereby improving the efficiency of the overall quality inspection.
Step S300: screening the stainless steel chain products to be inspected based on the appearance defect detection results to obtain a plurality of screened stainless steel chain products;
in one embodiment, step S300 of the present application further includes:
step S310: based on the appearance defect detection results, carrying out appearance quality assessment on the stainless steel chain products to be inspected to obtain appearance quality assessment coefficients;
in one embodiment, step S310 of the present application further includes:
step S311: constructing an appearance quality evaluation model;
step S312: and inputting the appearance quality evaluation model by taking the appearance defect detection results as input information to obtain the appearance quality evaluation coefficients.
Specifically, the appearance quality evaluation model is used for evaluating the plurality of appearance defect detection results. Presetting a plurality of appearance defect weights, wherein the appearance defect weights correspond to the appearance defect indexes one by one, multiplying various appearance defects in the appearance defect detection results by the corresponding weights to obtain products, and then adding and summing the products to obtain a plurality of summation results, wherein the appearance quality evaluation coefficients are the summation results. And by obtaining the appearance quality evaluation coefficients, data support is provided for screening the stainless steel chain products to be tested in the next step.
Step S320: obtaining a preset appearance quality evaluation coefficient threshold;
step S330: screening the appearance quality evaluation coefficients based on the preset appearance quality evaluation coefficient threshold to obtain a plurality of preferred appearance quality evaluation coefficients meeting the preset appearance quality evaluation coefficient threshold;
step S340: and matching the plurality of stainless steel chain products to be inspected based on the plurality of preferred appearance quality evaluation coefficients to obtain the plurality of screened stainless steel chain products.
Specifically, a plurality of historical appearance images with appearance quality meeting a standard are evaluated through the appearance quality evaluation model, a plurality of historical appearance image evaluation coefficients are obtained, the preset appearance quality evaluation coefficient threshold is a threshold meeting a plurality of historical appearance image evaluation coefficients, the appearance quality evaluation coefficients are screened through the preset appearance quality evaluation coefficient threshold, the preferred appearance quality evaluation coefficients are evaluation coefficients meeting the preset appearance quality evaluation coefficient threshold, and the stainless steel chain products to be tested are subjected to one-to-one matching based on the preferred appearance quality evaluation coefficients, so that the screened stainless steel chain products are obtained. And providing raw data for the acquisition of production parameters of the next step by obtaining the plurality of screened stainless steel chain products.
Step S400: acquiring production parameters based on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets;
specifically, parameter collection is performed on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets, and the product production parameters comprise parameters such as raw materials, specifications, dimensions, weight and the like of the stainless steel chain products. By obtaining a plurality of product production parameter sets, data support is provided for the next step of comparison with standard production parameters.
Step S500: based on a standard production parameter information database, comparing a plurality of product production parameter sets to obtain a plurality of product production parameter comparison results;
in one embodiment, step S500 of the present application further includes:
step S510: performing product type analysis based on the plurality of stainless steel chain products to be inspected to obtain a plurality of product type analysis results;
step S520: based on the analysis results of the multiple product types, standard production parameter collection is carried out, and the standard production parameter information database is obtained;
step S530: obtaining a multi-stage production parameter comparison dimension, wherein the multi-stage production parameter comparison dimension comprises a production material parameter comparison dimension, a production structure parameter comparison dimension and a production performance parameter comparison dimension;
step S540: and comparing a plurality of product production parameter sets based on the multi-stage production parameter comparison dimension and the standard production parameter information database to obtain a plurality of product production parameter comparison results.
Specifically, the plurality of stainless steel chain products to be inspected are classified according to different product types, for example: according to the product types, the stainless steel chain products can be divided into tooth-shaped chains, plate-type chains, hollow pin shaft chains, double-pitch transmission chains, double-pitch conveying chains and the like, and a plurality of product classification results are obtained. And obtaining standard production parameters of the product classification results, wherein the standard production parameter information database comprises standard production parameters of the product classification results. Setting a multi-stage production parameter comparison dimension, wherein the multi-stage production parameter comprises a production material parameter, a production structure parameter and a production performance parameter. And comparing the plurality of product production parameter sets with the standard production parameter information database through three dimensions of production material parameters, production structure parameters and production performance parameters respectively to obtain comparison results, wherein the plurality of product production parameter comparison results comprise production material parameter comparison results, production structure parameter comparison results and production performance parameter comparison results. And data support is provided for setting quality test samples in the next step by obtaining comparison results of a plurality of product production parameters.
Step S600: obtaining a plurality of quality inspection indexes, and setting quality inspection samples based on the quality inspection indexes and the product production parameter comparison results to obtain a quality inspection sample data set;
in one embodiment, step S600 of the present application further includes:
step S610: historical data query is carried out based on the quality inspection indexes to obtain a plurality of historical quality inspection samples and a plurality of historical product production parameter comparison results, and the historical quality inspection samples and the historical product production parameter comparison results have corresponding relations;
step S620: carrying out relevance evaluation on the plurality of historical product production parameter comparison results and the plurality of product production parameter comparison results to obtain a plurality of relevance evaluation coefficients;
step S630: screening the plurality of relevance evaluation coefficients based on a relevance evaluation coefficient threshold, and adding a plurality of historical test samples corresponding to the plurality of relevance evaluation coefficients meeting the relevance evaluation coefficient threshold to a quality test sample database;
step S640: and carrying out principal component analysis based on the quality inspection sample database to obtain the quality inspection sample data set.
Specifically, the plurality of quality inspection indexes refer to type information for performing quality tests on different types of stainless steel chain products, for example: parameters of quality tests such as tension tests, pressure tests, bearing force tests and the like are obtained according to a plurality of quality inspection indexes, the stainless steel chain products which are finished to be produced and meet quality inspection standards are obtained, a plurality of historical quality inspection samples refer to parameters which are subjected to quality tests and meet quality requirement products, production parameters and standard parameters of the products are inquired, and a plurality of historical product production parameter comparison results are obtained, wherein the historical quality inspection samples are in one-to-one correspondence with the historical product production parameter comparison results. The relevance evaluation is to mine the relation between the plurality of historical product production parameter comparison results and the plurality of product production parameter comparison results to obtain a plurality of relevance evaluation coefficients, and the relevance evaluation coefficients are used for measuring coefficient indexes of the relation between the plurality of historical product production parameter comparison results and the plurality of product production parameter comparison results. Setting a relevance evaluation coefficient threshold, screening the relevance evaluation coefficients according to the relevance evaluation coefficient threshold, constructing a quality inspection sample database, adding a plurality of historical inspection samples corresponding to the relevance evaluation coefficients within a threshold range to the quality inspection sample database, and then performing dimension reduction on characteristic data in the quality inspection sample database to obtain a quality inspection sample data set obtained through dimension reduction. By obtaining a quality inspection sample dataset, a reference standard is provided for the next quality inspection of the plurality of screened stainless steel chain products.
In one embodiment, step S640 of the present application further includes:
step S641: obtaining a first quality inspection sample characteristic data set according to the quality inspection sample database;
step S642: performing decentralization processing on the first quality inspection sample characteristic data set to obtain a second quality inspection sample characteristic data set;
step S643: obtaining a covariance matrix of the first quality test sample characteristic according to the second quality test sample characteristic data set;
step S644: obtaining a first eigenvalue and a first eigenvector according to the covariance matrix of the first quality inspection sample characteristics;
step S645: and obtaining the quality inspection sample data set according to the first characteristic value and the first characteristic vector.
Specifically, firstly, carrying out data standardization processing on the characteristic data in the quality inspection sample database, and constructing a characteristic data set matrix to obtain the first quality inspection sample characteristic data set. And then carrying out decentralization processing on each characteristic data in the first quality test sample characteristic data set, wherein the decentralization processing refers to solving the average value of each characteristic in the first quality test sample characteristic data set, then subtracting the average value of each characteristic from each characteristic for all samples, and then obtaining a new characteristic value, and the second quality test sample characteristic data set is a data matrix and is composed of the new characteristic values. And calculating the second quality inspection sample characteristic data set through a covariance formula to obtain a covariance matrix of the first quality inspection sample characteristic of the second quality inspection sample characteristic data set, and then calculating the characteristic value and the characteristic vector of the covariance matrix of the first quality inspection sample characteristic through matrix calculation, wherein each characteristic value corresponds to one characteristic vector. And selecting the first K largest eigenvalues and the eigenvectors corresponding to the first eigenvalues from the first eigenvector, and projecting the original features in the first quality test sample eigenvalue data set onto the selected eigenvectors to obtain the first quality test sample eigenvalue data set after dimension reduction. The feature data in the quality inspection sample database can be subjected to dimension reduction by carrying out principal component analysis on the quality inspection sample database, redundant data are removed on the premise of guaranteeing information quantity, and the sample quantity of the feature data in the quality inspection sample database is reduced, so that the operation speed of a training model on the data is increased.
Step S700: and performing quality inspection on the plurality of screened stainless steel chain products based on the plurality of quality inspection indexes and the quality inspection sample data set.
Specifically, the plurality of screened stainless steel chain products are subjected to quality testing and inspection according to the plurality of quality inspection indexes and the obtained quality inspection sample data set.
In one embodiment, as shown in FIG. 2, there is provided a stainless steel link product quality inspection system in communication with an image acquisition device, the system comprising: image acquisition module 1, defect detection module 2, product screening module 3, parameter acquisition module 4, parameter contrast module 5, sample setting module 6, quality inspection module 7, wherein:
the image acquisition module 1 is used for acquiring images of a plurality of stainless steel chain products to be inspected based on the image acquisition device to obtain a plurality of image acquisition results;
the defect detection module 2 is used for detecting appearance defects of the stainless steel chain products to be detected based on the image acquisition results to obtain appearance defect detection results;
the product screening module 3 is used for screening the stainless steel chain products to be tested based on the appearance defect detection results to obtain a plurality of screened stainless steel chain products;
the parameter acquisition module 4 is used for acquiring production parameters based on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets;
the parameter comparison module 5 is used for respectively comparing the plurality of product production parameter sets based on a standard production parameter information database to obtain a plurality of product production parameter comparison results;
the sample setting module 6 is configured to obtain a plurality of quality inspection indexes, and perform quality inspection sample setting based on the plurality of quality inspection indexes and the plurality of product production parameter comparison results to obtain a quality inspection sample data set;
a quality inspection module 7, wherein the quality inspection module 7 is used for performing quality inspection on the plurality of screening stainless steel chain products based on the plurality of quality inspection indexes and the quality inspection sample data set.
In one embodiment, the system further comprises:
the index obtaining module is used for obtaining a plurality of preset appearance defect detection indexes;
the knowledge base construction module is used for constructing an appearance defect detection image knowledge base based on the plurality of preset appearance defect detection indexes;
the result obtaining module is used for comparing the appearance defect detection image knowledge base with the plurality of image acquisition results to obtain the plurality of appearance defect detection results based on the plurality of preset appearance defect detection indexes, wherein the plurality of appearance defect detection results have a corresponding relation with the plurality of image acquisition results.
In one embodiment, the system further comprises:
the quality evaluation module is used for carrying out appearance quality evaluation on the stainless steel chain products to be inspected based on the appearance defect detection results to obtain appearance quality evaluation coefficients;
the coefficient obtaining module is used for obtaining a preset appearance quality evaluation coefficient;
the coefficient screening module is used for screening the appearance quality assessment coefficients based on the preset appearance quality assessment coefficients to obtain a plurality of preferred appearance quality assessment coefficients meeting the preset appearance quality assessment coefficients;
and the coefficient matching module is used for matching the plurality of stainless steel chain products to be tested based on the plurality of preferred appearance quality evaluation coefficients to obtain the plurality of screened stainless steel chain products.
In one embodiment, the system further comprises:
the model construction module is used for constructing an appearance quality evaluation model;
and the coefficient obtaining module is used for inputting the appearance quality assessment model by taking the appearance defect detection results as input information to obtain the appearance quality assessment coefficients.
In one embodiment, the system further comprises:
the type analysis module is used for carrying out product type analysis based on the plurality of stainless steel chain products to be inspected to obtain a plurality of product type analysis results;
the parameter acquisition module is used for acquiring standard production parameters based on the analysis results of the multiple product types and obtaining the standard production parameter information database;
the dimension obtaining module is used for obtaining a multi-stage production parameter comparison dimension, wherein the multi-stage production parameter comparison dimension comprises a production material parameter comparison dimension, a production structure parameter comparison dimension and a production performance parameter comparison dimension;
the result obtaining module is used for comparing a plurality of product production parameter sets based on the multi-stage production parameter comparison dimension and the standard production parameter information database to obtain a plurality of product production parameter comparison results.
In one embodiment, the system further comprises:
the data query module is used for performing historical data query based on the quality inspection indexes to obtain a plurality of historical quality inspection samples and a plurality of historical product production parameter comparison results, and the historical quality inspection samples and the historical product production parameter comparison results have corresponding relations;
the coefficient obtaining module is used for carrying out relevance assessment on the plurality of historical product production parameter comparison results and the plurality of product production parameter comparison results to obtain a plurality of relevance assessment coefficients:
the sample adding module is used for screening the plurality of relevance evaluation coefficients based on a relevance evaluation coefficient threshold and adding a plurality of historical test samples corresponding to the plurality of relevance evaluation coefficients meeting the relevance evaluation coefficient threshold to a quality test sample database;
and the principal component analysis module is used for carrying out principal component analysis based on the quality inspection sample database to obtain the quality inspection sample data set.
In one embodiment, the system further comprises:
the first characteristic data acquisition module is used for acquiring a first quality inspection sample characteristic data set according to the quality inspection sample database;
the second characteristic data obtaining module is used for carrying out decentralization processing on the first quality inspection sample characteristic data set to obtain a second quality inspection sample characteristic data set;
the matrix obtaining module is used for obtaining a covariance matrix of the first quality test sample characteristic according to the second quality test sample characteristic data set;
the information obtaining module is used for obtaining a first eigenvalue and a first eigenvector according to the covariance matrix of the first quality inspection sample characteristics;
and the data set obtaining module is used for obtaining the quality inspection sample data set according to the first characteristic value and the first characteristic vector.
In summary, the present application provides a method and a system for inspecting quality of stainless steel chain products, which have the following technical effects:
1. based on the quality inspection indexes and the quality inspection sample data set, quality inspection is performed on the screened stainless steel chain products, so that the technical problem that quality inspection accuracy is low due to single quality inspection method for the stainless steel chain products in the prior art is solved, and the quality inspection accuracy of the stainless steel chain products is improved.
2. By comparing the appearance defect detection knowledge base with the image acquisition result in multiple stages, appearance defect products which are difficult to detect by naked eyes can be found, and the accuracy of screening the stainless steel chain products to be detected is improved.
3. The feature data in the quality inspection sample database can be subjected to dimension reduction by carrying out principal component analysis on the quality inspection sample database, redundant data are removed on the premise of guaranteeing information quantity, and the sample quantity of the feature data in the quality inspection sample database is reduced, so that the operation speed of a training model on the data is increased.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (8)
1. A method for inspecting quality of a stainless steel chain product, the method being applied to a stainless steel chain product quality inspection system, the system being in communication with an image acquisition device, the method comprising:
acquiring images of a plurality of stainless steel chain products to be inspected based on the image acquisition device to obtain a plurality of image acquisition results;
performing appearance defect detection on the plurality of stainless steel chain products to be detected based on the plurality of image acquisition results to obtain a plurality of appearance defect detection results;
screening the stainless steel chain products to be inspected based on the appearance defect detection results to obtain a plurality of screened stainless steel chain products;
acquiring production parameters based on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets;
based on a standard production parameter information database, comparing a plurality of product production parameter sets to obtain a plurality of product production parameter comparison results;
obtaining a plurality of quality inspection indexes, and setting quality inspection samples based on the quality inspection indexes and the product production parameter comparison results to obtain a quality inspection sample data set;
and performing quality inspection on the plurality of screened stainless steel chain products based on the plurality of quality inspection indexes and the quality inspection sample data set.
2. The method of claim 1, wherein the plurality of stainless steel chain products to be inspected are subjected to appearance defect detection based on the plurality of image acquisition results to obtain a plurality of appearance defect detection results, the method further comprising:
obtaining a plurality of preset appearance defect detection indexes;
constructing an appearance defect detection image knowledge base based on the plurality of preset appearance defect detection indexes;
and carrying out multistage appearance defect comparison on the appearance defect detection image knowledge base and the image acquisition results based on the preset appearance defect detection indexes to obtain the appearance defect detection results, wherein the appearance defect detection results and the image acquisition results have corresponding relations.
3. The method of claim 1, wherein the plurality of stainless steel chain products to be inspected are screened based on the plurality of appearance defect detection results to obtain a plurality of screened stainless steel chain products, the method further comprising:
based on the appearance defect detection results, carrying out appearance quality assessment on the stainless steel chain products to be inspected to obtain appearance quality assessment coefficients;
obtaining a preset appearance quality evaluation coefficient;
screening the appearance quality evaluation coefficients based on the preset appearance quality evaluation coefficients to obtain a plurality of preferred appearance quality evaluation coefficients meeting the preset appearance quality evaluation coefficients;
and matching the plurality of stainless steel chain products to be inspected based on the plurality of preferred appearance quality evaluation coefficients to obtain the plurality of screened stainless steel chain products.
4. A method according to claim 3, wherein the obtaining a plurality of appearance quality assessment coefficients further comprises:
constructing an appearance quality evaluation model;
and inputting the appearance quality evaluation model by taking the appearance defect detection results as input information to obtain the appearance quality evaluation coefficients.
5. The method of claim 1, wherein the plurality of product production parameter sets are respectively compared based on a standard production parameter information database to obtain a plurality of product production parameter comparison results, the method further comprising:
performing product type analysis based on the plurality of stainless steel chain products to be inspected to obtain a plurality of product type analysis results;
based on the analysis results of the multiple product types, standard production parameter collection is carried out, and the standard production parameter information database is obtained;
obtaining a multi-stage production parameter comparison dimension, wherein the multi-stage production parameter comparison dimension comprises a production material parameter comparison dimension, a production structure parameter comparison dimension and a production performance parameter comparison dimension;
and comparing a plurality of product production parameter sets based on the multi-stage production parameter comparison dimension and the standard production parameter information database to obtain a plurality of product production parameter comparison results.
6. The method of claim 1, wherein the obtaining a quality test sample dataset, the method further comprising:
historical data query is carried out based on the quality inspection indexes to obtain a plurality of historical quality inspection samples and a plurality of historical product production parameter comparison results, and the historical quality inspection samples and the historical product production parameter comparison results have corresponding relations;
carrying out relevance evaluation on the plurality of historical product production parameter comparison results and the plurality of product production parameter comparison results to obtain a plurality of relevance evaluation coefficients;
screening the plurality of relevance evaluation coefficients based on a relevance evaluation coefficient threshold, and adding a plurality of historical test samples corresponding to the plurality of relevance evaluation coefficients meeting the relevance evaluation coefficient threshold to a quality test sample database;
and carrying out principal component analysis based on the quality inspection sample database to obtain the quality inspection sample data set.
7. The method of claim 6, performing principal component analysis based on the quality test sample database to obtain the quality test sample dataset, the method further comprising:
obtaining a first quality inspection sample characteristic data set according to the quality inspection sample database;
performing decentralization processing on the first quality inspection sample characteristic data set to obtain a second quality inspection sample characteristic data set;
obtaining a covariance matrix of the first quality test sample characteristic according to the second quality test sample characteristic data set;
obtaining a first eigenvalue and a first eigenvector according to the covariance matrix of the first quality inspection sample characteristics;
and obtaining the quality inspection sample data set according to the first characteristic value and the first characteristic vector.
8. A stainless steel chain product quality inspection system, the system in communication with an image acquisition device, the system comprising:
the image acquisition module is used for acquiring images of a plurality of stainless steel chain products to be inspected based on the image acquisition device to obtain a plurality of image acquisition results;
the defect detection module is used for detecting appearance defects of the stainless steel chain products to be detected based on the image acquisition results to obtain appearance defect detection results;
the product screening module is used for screening the stainless steel chain products to be tested based on the appearance defect detection results to obtain a plurality of screened stainless steel chain products;
the parameter acquisition module is used for acquiring production parameters based on the plurality of screened stainless steel chain products to obtain a plurality of product production parameter sets;
the parameter comparison module is used for respectively comparing the plurality of product production parameter sets based on the standard production parameter information database to obtain a plurality of product production parameter comparison results;
the sample setting module is used for obtaining a plurality of quality inspection indexes, and performing quality inspection sample setting based on the quality inspection indexes and the product production parameter comparison results to obtain a quality inspection sample data set;
the quality inspection module is used for carrying out quality inspection on the plurality of screening stainless steel chain products based on the plurality of quality inspection indexes and the quality inspection sample data set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211602848.2A CN116165213A (en) | 2022-12-13 | 2022-12-13 | Stainless steel chain product quality inspection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211602848.2A CN116165213A (en) | 2022-12-13 | 2022-12-13 | Stainless steel chain product quality inspection method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116165213A true CN116165213A (en) | 2023-05-26 |
Family
ID=86417358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211602848.2A Pending CN116165213A (en) | 2022-12-13 | 2022-12-13 | Stainless steel chain product quality inspection method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116165213A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117235606A (en) * | 2023-11-10 | 2023-12-15 | 张家港广大特材股份有限公司 | Production quality management method and system for special stainless steel |
-
2022
- 2022-12-13 CN CN202211602848.2A patent/CN116165213A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117235606A (en) * | 2023-11-10 | 2023-12-15 | 张家港广大特材股份有限公司 | Production quality management method and system for special stainless steel |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ali et al. | Automated fruit grading system | |
| CN114862266A (en) | Industrial product production quality monitoring and analyzing system based on big data | |
| CN116165213A (en) | Stainless steel chain product quality inspection method and system | |
| CN110715928A (en) | Image type leather detection equipment | |
| CN111879709B (en) | Lake water body spectral reflectivity inspection method and device | |
| CN111402236A (en) | Hot-rolled strip steel surface defect grading method based on image gray value | |
| CN116840072B (en) | Automatic checking system for electronic connector | |
| CN110320337A (en) | A kind of automatic evaluating system of strip surface quality and method | |
| CN116433155B (en) | Intelligent management system for engineering material warehouse based on visualization | |
| CN113128555A (en) | Method for detecting abnormality of train brake pad part | |
| CN113283768A (en) | Food detection item extraction method, device, equipment and storage medium | |
| CN111141472A (en) | Anti-seismic support and hanger detection method and system | |
| CN117030724A (en) | Multi-mode industrial defect analysis method and system based on deep learning | |
| Prabowo et al. | Edge detection technique for rice quality analysis using digital image processing | |
| CN111238927A (en) | Fatigue durability evaluation method and device, electronic equipment and computer readable medium | |
| CN115112183A (en) | System for detecting size of special-shaped mechanical part | |
| CN112330606B (en) | Defect detection method based on machine learning | |
| Sun et al. | Research on Both the Classification and Quality Control Methods of the Car Seat Backrest Based on Machine Vision | |
| CN117455318B (en) | Monitoring method and device for automobile part detection process and electronic equipment | |
| CN117406161B (en) | Metering device magnitude deviation early warning method, system, equipment and medium | |
| CN117781882A (en) | Industrial hardware detects MES data acquisition analysis system | |
| CN116681698B (en) | Spring automatic assembly quality detection method and system | |
| CN117218761B (en) | Cash inspecting machine performance test system based on data analysis | |
| CN116436166B (en) | Electric power data analysis and monitoring method and system based on Internet of things | |
| CN111649681B (en) | Corrugated paper thickness detection method and corrugated paper production quality monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |