CN117890214B - Aluminum template quality inspection detection method based on machine vision - Google Patents
Aluminum template quality inspection detection method based on machine vision Download PDFInfo
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- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 470
- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 470
- 238000007689 inspection Methods 0.000 title claims abstract description 31
- 238000001514 detection method Methods 0.000 title claims abstract description 15
- 238000012360 testing method Methods 0.000 claims description 310
- 238000012797 qualification Methods 0.000 claims description 86
- 230000007797 corrosion Effects 0.000 claims description 45
- 238000005260 corrosion Methods 0.000 claims description 45
- 238000004519 manufacturing process Methods 0.000 claims description 41
- 238000009864 tensile test Methods 0.000 claims description 39
- 239000000126 substance Substances 0.000 claims description 35
- 230000000704 physical effect Effects 0.000 claims description 31
- 238000007705 chemical test Methods 0.000 claims description 27
- 238000000034 method Methods 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 23
- 238000004458 analytical method Methods 0.000 claims description 18
- 238000011056 performance test Methods 0.000 claims description 17
- 238000013441 quality evaluation Methods 0.000 claims description 15
- 239000011248 coating agent Substances 0.000 claims description 12
- 238000000576 coating method Methods 0.000 claims description 12
- 238000005516 engineering process Methods 0.000 claims description 12
- 230000036314 physical performance Effects 0.000 claims description 12
- 230000007547 defect Effects 0.000 claims description 11
- 238000003860 storage Methods 0.000 claims description 7
- 238000012216 screening Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 description 4
- 238000011009 performance qualification Methods 0.000 description 4
- 238000003825 pressing Methods 0.000 description 4
- 238000005070 sampling Methods 0.000 description 3
- 230000002860 competitive effect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000000758 substrate Substances 0.000 description 2
- 229910000838 Al alloy Inorganic materials 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000007542 hardness measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Abstract
The invention discloses a quality inspection detection method of aluminum templates based on machine vision, which relates to the technical field of quality inspection of aluminum templates.
Description
Technical Field
The invention relates to the technical field of quality inspection of aluminum templates, in particular to a machine vision-based aluminum template quality inspection detection method.
Background
The aluminum template is a plate material with aluminum alloy as a main component, and has the characteristics of light weight, corrosion resistance, good thermal conductivity and the like. The aluminum template has wide application in various industries and building applications, is an important engineering material, and needs to be inspected after the aluminum template is produced in order to ensure the quality of the aluminum template in the application.
The traditional quality inspection of the aluminum template is mainly performed by sampling inspection personnel, and obviously, the intelligent quality inspection of the aluminum template cannot be experienced through a manual quality inspection mode, meanwhile, the workload of the quality inspection personnel is greatly increased, the quality inspection result of the aluminum template is influenced, the accuracy of the quality inspection result of the aluminum template is reduced, the quality of the aluminum template in the subsequent use process cannot be guaranteed, and the competitiveness and public praise of the aluminum template in the market cannot be improved; in addition, quality inspection personnel in the traditional technology mainly detect the outward appearance of aluminum templates, do not sample the aluminum templates, then carry out physical property's test and chemical property's test to aluminum templates to can't ensure aluminum templates's qualification, can't ensure aluminum templates's stability when using, and then can't improve customer satisfaction, also increase after-sale service cost, influence follow-up aluminum templates's production and selling.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide an aluminum template quality inspection detection method based on machine vision.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a quality inspection and detection method of an aluminum template based on machine vision, which comprises the following steps: step one, appearance detection: after the production of the aluminum templates in the current batch is completed, appearance images of all the aluminum templates in the current batch are collected, and appearance quality qualification rate corresponding to the aluminum templates in the current batch is calculated.
Step two, physical property test: and randomly extracting a plurality of aluminum templates from the current batch of aluminum templates to serve as all the physical test aluminum templates, further testing the physical properties of all the physical test aluminum templates, and collecting the test information of all the physical test aluminum templates after the physical property test is finished.
Step three, physical property analysis: and calculating the physical property quality qualification rate of the aluminum templates of the current batch according to the test information of each physical test aluminum template.
Step four, chemical performance test: and randomly extracting a plurality of aluminum templates from the current batch of aluminum templates to serve as each chemical test aluminum template, so that each chemical test aluminum template is subjected to chemical property test, and collecting test information of each chemical test aluminum template after the chemical property test is finished.
Step five, chemical property analysis: and calculating the chemical property quality qualification rate of the aluminum templates of the current batch according to the test information of each chemical test aluminum template.
Step six, mass analysis: and analyzing whether the production quality of the aluminum templates in the current batch is qualified or not according to the appearance quality qualification rate, the physical property quality qualification rate and the chemical property quality qualification rate corresponding to the aluminum templates in the current batch.
And step seven, quality inspection display: and displaying whether the production quality of the aluminum templates in the current batch is qualified.
Preferably, the calculating the appearance quality qualification rate corresponding to the aluminum templates of the current batch comprises the following specific calculating process: based on the computer image recognition technology, the corresponding size and defect area of each aluminum template are obtained from the appearance image of each aluminum template and respectively recorded as、/>I represents the number of each aluminum template, i=1, 2, & gt, the number of the aluminum templates is an arbitrary integer greater than 2, and the flatness and the coating uniformity of each aluminum template are calculated based on the appearance image of each aluminum template and are respectively recorded as/>、/>。
Extracting standard size, allowable defect area, standard flatness and standard coating uniformity of the current batch of aluminum templates from a database, and respectively marking as、/>、/>、/>。
According to the calculation formulaObtaining the appearance quality evaluation index/>, corresponding to the ith aluminum templateWherein/>、/>、/>、/>Respectively a preset size weight factor, a defect area weight factor, a flatness weight factor and a coating uniformity weight factor.
Comparing the quality evaluation index corresponding to each aluminum template with a preset quality evaluation index threshold, if the quality evaluation index corresponding to a certain aluminum template is larger than or equal to the preset quality evaluation index threshold, judging that the appearance quality of the aluminum template is qualified, screening out the aluminum templates with qualified appearance quality, counting the number of the aluminum templates with qualified appearance quality, and dividing the number of the aluminum templates with qualified appearance quality by the total number of the aluminum templates in the current batch to obtain the appearance quality qualification rate corresponding to the aluminum templates in the current batch.
Preferably, the physical performance test is performed on each physical test aluminum template, and the specific test steps are as follows: and S21, trisecting each physical test aluminum template, and respectively obtaining each tensile test aluminum template, each hardness test aluminum template and each heat conduction test aluminum template.
S22, obtaining a standard maximum tensile value of the aluminum templates of the current batch from the database, sequentially placing the tensile test aluminum templates into a test tensile testing machine, gradually applying the standard maximum tensile value of the aluminum templates of the current batch through the tensile testing machine, ending the tensile test after a preset time period, and obtaining test images of the tensile test aluminum templates.
The same test environment is the same environmental conditions such as temperature and humidity.
S23, obtaining standard bearing loads of the current batch of aluminum templates from the database, sequentially placing all the hardness test aluminum templates into the hardness test instrument, then applying the standard bearing loads of the current batch of aluminum templates to a pressing head of the hardness test instrument through the hardness test instrument, loading the pressing head of the hardness test instrument to all the hardness test aluminum templates, ending the hardness test after a preset time, and collecting the test depth of all the hardness test aluminum templates.
S24, obtaining standard temperature of the maximum heat conductivity corresponding to the current batch of aluminum templates from the database, placing each heat conduction test aluminum template on a heat conduction test instrument, performing heat conduction test on each heat conduction test aluminum template by using the standard temperature of the maximum heat conductivity, and collecting actual heat conductivity of each heat conduction test aluminum template after a preset time period.
Preferably, the physical property quality qualification rate of the aluminum templates of the current batch is calculated, and the specific calculation process is as follows: and extracting the test image of each tensile test aluminum template, the test depth of each hardness test aluminum template and the actual heat conductivity of each heat conduction test aluminum template from the test information of each physical test aluminum template.
Based on the computer image recognition technology and the test images of the tensile test aluminum templates, judging whether the tensile test aluminum templates are broken or not, and counting the number of the unbroken tensile test aluminum templates.
Comparing the test depth of each hardness test aluminum template with a preset allowable depth threshold, if the test depth of a certain hardness test aluminum template is larger than the preset allowable depth, judging that the hardness of the hardness test aluminum template is unqualified, otherwise, judging that the hardness of the hardness test aluminum template is qualified, and counting the number of the hardness test aluminum templates with qualified hardness.
Comparing the actual heat conductivity of each heat conduction test aluminum template with the maximum heat conductivity of the current batch of aluminum templates stored in the database, and if the actual heat conductivity of a certain heat conduction test aluminum template is greater than or equal to the maximum heat conductivity, judging that the heat conduction of the heat conduction test aluminum template is qualified, thereby counting the quantity of the heat conduction test aluminum templates qualified in heat conduction.
Substituting the number of the unbroken tensile test aluminum templates, the number of the hardness test aluminum templates with qualified hardness, the number of the heat conduction test aluminum templates with qualified heat conduction and the number of the physical test aluminum templates into a calculation formula to obtain the physical property quality qualification rate of the aluminum templates in the current batch.
Preferably, the calculation formula of the physical property quality qualification rate of the current batch of aluminum templates is as follows: In/> The physical property quality qualification rate of the aluminum templates in the current batch is represented, and wl, wy, wr, w represents the number of unbroken tensile test aluminum templates, the number of hardness test aluminum templates with qualified hardness, the number of heat conduction test aluminum templates with qualified heat conduction and the number of physical test aluminum templates respectively.
Preferably, the chemical performance test is performed on each chemical test aluminum template, and the specific test process is as follows: s41, halving each chemical test aluminum template, and respectively testing each component test aluminum template and each corrosion resistance test aluminum template.
S42, analyzing the component test aluminum templates through a spectrometer to obtain the actual content of each element in the component test aluminum templates.
S43, extracting the safe storage time of the current batch of aluminum templates at the reference pH value from the database, further respectively placing each corrosion-resistant test aluminum template into the solution with the reference pH value, standing for the safe storage time, distributing each acquisition time point according to the preset time interval in the standing process, acquiring the test image of each corrosion-resistant test aluminum template at each acquisition time point, and ending the test after the standing is completed.
Preferably, the chemical property quality qualification rate of the aluminum templates of the current batch is calculated, and the specific calculation process is as follows: and extracting the actual content of each element in each component test aluminum template and the test image of each corrosion-resistant test aluminum template at each acquisition time point from the test information of each chemical test aluminum template.
And analyzing the quantity of the component test aluminum templates with qualified components based on the actual content of each element in the component test aluminum templates.
Based on a computer image recognition technology, acquiring the bubble generation area of each corrosion-resistant test aluminum template at each acquisition time point from the test image of each corrosion-resistant test aluminum template at each acquisition time point, comparing the bubble generation area of each corrosion-resistant test aluminum template at each acquisition time point with the permissible bubble generation area stored in the database, if the bubble generation area of a certain corrosion-resistant test aluminum template at each acquisition time point is smaller than the permissible bubble generation area, judging that the corrosion resistance of the corrosion-resistant test aluminum template is qualified, otherwise, judging that the corrosion resistance of the corrosion-resistant test aluminum template is unqualified, and counting the number of the corrosion-resistant qualified wear-resistant test aluminum templates.
According to the calculation formulaObtaining the chemical property quality qualification rate/>, of the current batch of aluminum templatesWherein af, an and a respectively represent the number of component test aluminum templates with qualified components, the number of wear-resistant test aluminum templates with qualified corrosion resistance and the number of chemical test aluminum templates.
Preferably, the number of the aluminum templates is tested by the components with qualified analysis components, and the specific analysis process is as follows: the actual content of each element in each component test aluminum template is recorded asF represents each component test aluminum template number, f=1, 2, & gt, p, j represents the number corresponding to each element, j=1, 2, & gt, m, p and m are all any integer greater than 2.
The standard content and the permissible content difference of each element of the aluminum template of the current batch are respectively recorded asAnd/>And then substituting the calculated formula/>Obtaining the component qualified value/>, of each component test aluminum template。
Comparing the component qualification value of each component test aluminum template with a component qualification value threshold stored in a database, if the component qualification value of a certain component test aluminum template is larger than or equal to the component qualification value threshold, judging that the component of the component test aluminum template is qualified, otherwise, judging that the component of the component test aluminum template is unqualified, and counting the quantity of the component test aluminum templates with qualified components.
Preferably, the process of analyzing whether the production quality of the aluminum templates of the current batch is qualified or not is as follows: the appearance quality qualification rate, the physical property quality qualification rate and the chemical property quality qualification rate corresponding to the current batch of aluminum templates are multiplied in sequence to obtain the production quality qualification rate of the current batch of aluminum templates, and then the production quality qualification rate of the current batch of aluminum templates is compared with a preset production quality qualification rate threshold value, if the production quality qualification rate of the current batch of aluminum templates is greater than or equal to the preset production quality qualification rate threshold value, the production quality qualification of the current batch of aluminum templates is judged, otherwise, the production quality disqualification of the current batch of aluminum templates is judged.
The invention has the beneficial effects that: the invention provides a quality inspection detection method for aluminum templates based on machine vision, which is characterized in that appearance images of aluminum templates in a current batch are collected, appearance qualification rate of the aluminum templates in the current batch is calculated, the aluminum templates in the current batch are sampled, then physical performance tests and chemical performance tests are respectively carried out on the aluminum templates in the physical tests and the chemical tests, and then the physical performance qualification rate and the chemical performance qualification rate of the aluminum templates in the current batch are calculated, so that whether production quality of the aluminum templates in the current batch is qualified is analyzed, the problem of insufficient intellectualization of manual spot inspection in the traditional technology is solved, workload of quality inspection staff is greatly reduced, accuracy of quality inspection results of the aluminum templates is improved, qualification of performance of the aluminum templates is guaranteed, stability of the aluminum templates in application and quality of the aluminum templates in subsequent use are guaranteed, competitive power and public praise of the aluminum templates in markets are improved, customer satisfaction is improved, cooperation relation between enterprises and customers is effectively maintained, and production and sales stability of the aluminum templates is guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a quality inspection and detection method for an aluminum template based on machine vision, which comprises the following steps: step one, appearance detection: after the production of the aluminum templates in the current batch is completed, appearance images of all the aluminum templates in the current batch are collected, and appearance quality qualification rate corresponding to the aluminum templates in the current batch is calculated.
The appearance images of the aluminum templates in the current batch are collected through the camera.
In a specific embodiment, the calculating the appearance quality qualification rate corresponding to the aluminum templates of the current batch specifically includes the following steps: based on the computer image recognition technology, the corresponding size and defect area of each aluminum template are obtained from the appearance image of each aluminum template and respectively recorded as、/>I represents the number of each aluminum template, i=1, 2, & gt, the number of the aluminum templates is an arbitrary integer greater than 2, and the flatness and the coating uniformity of each aluminum template are calculated based on the appearance image of each aluminum template and are respectively recorded as/>、。
In the above, the flatness and coating uniformity of each aluminum template are calculated, and the specific calculation process is as follows: based on the appearance image of each aluminum template, constructing a three-dimensional model of each aluminum template, then guiding the three-dimensional model of each aluminum template into a preset three-dimensional coordinate system, uniformly arranging each monitoring point on the top plane of each aluminum template, and then obtaining the z-axis coordinate value of each monitoring point in each aluminum template, and marking asG represents the number of each monitoring point, g=1, 2, & gt, and q, q is any integer greater than 2, and is substituted into a calculation formula/>In (3) obtaining the flatness/>, of each aluminum templateWhereinAnd the z-axis coordinate value of the (g+1) th monitoring point in the ith aluminum template is represented.
Uniformly distributing all the acquisition points on the surface of each aluminum template, and further extracting the hue, brightness and saturation of each acquisition point from the appearance image of each aluminum template, which are respectively recorded as、/>And/>B represents the number of the collection points, b=1, 2, & gt, V, v being any integer greater than 2, and extracting from the database the standard hue, standard brightness and standard saturation of the current batch of aluminum templates, respectively noted/>、/>And/>Then substitutes into the calculation formulaIn the process, the coating uniformity/>, of each aluminum template is obtainedWherein/>、/>、/>Respectively a preset hue weight factor, a preset brightness weight factor and a preset saturation weight factor.
It should be noted that the number of the substrates,、/>、/>The value is 1/3.
Extracting standard size, allowable defect area, standard flatness and standard coating uniformity of the current batch of aluminum templates from a database, and respectively marking as、/>、/>、/>。
According to the calculation formulaObtaining the appearance quality evaluation index/>, corresponding to the ith aluminum templateWherein/>、/>、/>、/>Respectively a preset size weight factor, a defect area weight factor, a flatness weight factor and a coating uniformity weight factor;
It should be noted that the number of the substrates, 、/>、/>、/>All greater than 0 and less than 1.
Comparing the quality evaluation index corresponding to each aluminum template with a preset quality evaluation index threshold, if the quality evaluation index corresponding to a certain aluminum template is larger than or equal to the preset quality evaluation index threshold, judging that the appearance quality of the aluminum template is qualified, screening out the aluminum templates with qualified appearance quality, counting the number of the aluminum templates with qualified appearance quality, and dividing the number of the aluminum templates with qualified appearance quality by the total number of the aluminum templates in the current batch to obtain the appearance quality qualification rate corresponding to the aluminum templates in the current batch.
Step two, physical property test: and randomly extracting a plurality of aluminum templates from the current batch of aluminum templates to serve as all the physical test aluminum templates, further testing the physical properties of all the physical test aluminum templates, and collecting the test information of all the physical test aluminum templates after the physical property test is finished.
The test information of each physical test aluminum template includes a test image of each tensile test aluminum template, a test depth of each hardness test aluminum template, and an actual thermal conductivity of each thermal conduction test aluminum template.
In a specific embodiment, the physical performance test is performed on each physical test aluminum template, and specific test steps are as follows: and S21, trisecting each physical test aluminum template, and respectively obtaining each tensile test aluminum template, each hardness test aluminum template and each heat conduction test aluminum template.
S22, obtaining a standard maximum tensile value of the aluminum templates of the current batch from the database, sequentially placing the tensile test aluminum templates into a test tensile testing machine, gradually applying the standard maximum tensile value of the aluminum templates of the current batch through the tensile testing machine, ending the tensile test after a preset time period, and obtaining test images of the tensile test aluminum templates.
After the tensile test is finished, test images of the tensile test aluminum templates are collected through the camera.
S23, obtaining standard bearing loads of the current batch of aluminum templates from the database, sequentially placing all the hardness test aluminum templates into the hardness test instrument, then applying the standard bearing loads of the current batch of aluminum templates to a pressing head of the hardness test instrument through the hardness test instrument, loading the pressing head of the hardness test instrument to all the hardness test aluminum templates, ending the hardness test after a preset time, and collecting the test depth of all the hardness test aluminum templates.
The hardness testing instrument includes a brinell hardness tester, a universal hardness tester, and the like.
The hardness test aluminum template test depth is the depth of the recess of the hardness test aluminum template. After the hardness test is finished, the test depth of each hardness test aluminum template is acquired by using a profiler, wherein the profiler can be used for measuring the profile of the surface of an object and can be used for detecting the depth and the shape of a recess.
S24, obtaining standard temperature of the maximum heat conductivity corresponding to the current batch of aluminum templates from the database, placing each heat conduction test aluminum template on a heat conduction test instrument, performing heat conduction test on each heat conduction test aluminum template by using the standard temperature of the maximum heat conductivity, and collecting actual heat conductivity of each heat conduction test aluminum template after a preset time period.
It should be noted that, the heat conduction testing instrument includes a heat conduction instrument, a heat conductivity measuring instrument, etc., when conducting the heat conduction test, the head end of each heat conduction testing aluminum template is heated, then the heat conduction testing instrument monitors the temperature of the head end and the tail end of each heat conduction testing aluminum template, and then the heat conduction testing instrument guides the temperature of the head end and the tail end into a preset heat conductivity calculation model, so as to obtain the actual heat conductivity of each heat conduction testing aluminum template.
It should be noted that, when the physical performance test is performed, the physical performance test is performed in a preset test environment. The test environment includes a test environment temperature, a test environment humidity, and the like.
Step three, physical property analysis: and calculating the physical property quality qualification rate of the aluminum templates of the current batch according to the test information of each physical test aluminum template.
In a specific embodiment, the physical performance quality qualification rate of the aluminum templates of the current batch is calculated by the following specific calculation process: and extracting the test image of each tensile test aluminum template, the test depth of each hardness test aluminum template and the actual heat conductivity of each heat conduction test aluminum template from the test information of each physical test aluminum template.
Based on the computer image recognition technology and the test images of the tensile test aluminum templates, judging whether the tensile test aluminum templates are broken or not, and counting the number of the unbroken tensile test aluminum templates.
Comparing the test depth of each hardness test aluminum template with a preset allowable depth threshold, if the test depth of a certain hardness test aluminum template is larger than the preset allowable depth, judging that the hardness of the hardness test aluminum template is unqualified, otherwise, judging that the hardness of the hardness test aluminum template is qualified, and counting the number of the hardness test aluminum templates with qualified hardness.
Comparing the actual heat conductivity of each heat conduction test aluminum template with the maximum heat conductivity of the current batch of aluminum templates stored in the database, and if the actual heat conductivity of a certain heat conduction test aluminum template is greater than or equal to the maximum heat conductivity, judging that the heat conduction of the heat conduction test aluminum template is qualified, thereby counting the quantity of the heat conduction test aluminum templates qualified in heat conduction.
Substituting the number of the unbroken tensile test aluminum templates, the number of the hardness test aluminum templates with qualified hardness, the number of the heat conduction test aluminum templates with qualified heat conduction and the number of the physical test aluminum templates into a calculation formula to obtain the physical property quality qualification rate of the aluminum templates in the current batch.
In the above, the calculation formula of the physical property quality qualification rate of the current batch of aluminum templates is: In/> The physical property quality qualification rate of the aluminum templates in the current batch is represented, and wl, wy, wr, w represents the number of unbroken tensile test aluminum templates, the number of hardness test aluminum templates with qualified hardness, the number of heat conduction test aluminum templates with qualified heat conduction and the number of physical test aluminum templates respectively.
Step four, chemical performance test: and randomly extracting a plurality of aluminum templates from the current batch of aluminum templates to serve as each chemical test aluminum template, so that each chemical test aluminum template is subjected to chemical property test, and collecting test information of each chemical test aluminum template after the chemical property test is finished.
In the above description, the test information of each chemical test aluminum template includes the actual content of each element in each component test aluminum template and the test image of each corrosion-resistant test aluminum template at each acquisition time point.
In a specific embodiment, the chemical performance test is performed on each of the chemical test aluminum templates, and the specific test process is as follows: s41, halving each chemical test aluminum template, and respectively testing each component test aluminum template and each corrosion resistance test aluminum template.
S42, analyzing the component test aluminum templates through a spectrometer to obtain the actual content of each element in the component test aluminum templates.
S43, extracting the safe storage time of the current batch of aluminum templates at the reference pH value from the database, further respectively placing each corrosion-resistant test aluminum template into the solution with the reference pH value, standing for the safe storage time, distributing each acquisition time point according to the preset time interval in the standing process, acquiring the test image of each corrosion-resistant test aluminum template at each acquisition time point, and ending the test after the standing is completed.
The test images of each corrosion-resistant test aluminum template at each acquisition time point are acquired through the camera.
Step five, chemical property analysis: and calculating the chemical property quality qualification rate of the aluminum templates of the current batch according to the test information of each chemical test aluminum template.
In a specific embodiment, the chemical property quality qualification rate of the aluminum templates of the current batch is calculated by the following specific calculation process: and extracting the actual content of each element in each component test aluminum template and the test image of each corrosion-resistant test aluminum template at each acquisition time point from the test information of each chemical test aluminum template.
And analyzing the quantity of the component test aluminum templates with qualified components based on the actual content of each element in the component test aluminum templates.
In the above, the number of the aluminum templates is tested by the components with qualified analysis components, and the specific analysis process is as follows: the actual content of each element in each component test aluminum template is recorded asF represents each component test aluminum template number, f=1, 2, & gt, p, j represents the number corresponding to each element, j=1, 2, & gt, m, p and m are all any integer greater than 2.
The standard content and the permissible content difference of each element of the aluminum template of the current batch are respectively recorded asAnd/>And then substituting the calculated formula/>Obtaining the component qualified value/>, of each component test aluminum template。
Comparing the component qualification value of each component test aluminum template with a component qualification value threshold stored in a database, if the component qualification value of a certain component test aluminum template is larger than or equal to the component qualification value threshold, judging that the component of the component test aluminum template is qualified, otherwise, judging that the component of the component test aluminum template is unqualified, and counting the quantity of the component test aluminum templates with qualified components.
Based on a computer image recognition technology, acquiring the bubble generation area of each corrosion-resistant test aluminum template at each acquisition time point from the test image of each corrosion-resistant test aluminum template at each acquisition time point, comparing the bubble generation area of each corrosion-resistant test aluminum template at each acquisition time point with the permissible bubble generation area stored in the database, if the bubble generation area of a certain corrosion-resistant test aluminum template at each acquisition time point is smaller than the permissible bubble generation area, judging that the corrosion resistance of the corrosion-resistant test aluminum template is qualified, otherwise, judging that the corrosion resistance of the corrosion-resistant test aluminum template is unqualified, and counting the number of the corrosion-resistant qualified wear-resistant test aluminum templates.
The bubble generation area is the area of the bubble generation area.
According to the calculation formulaObtaining the chemical property quality qualification rate/>, of the current batch of aluminum templatesWherein af, an and a respectively represent the number of component test aluminum templates with qualified components, the number of wear-resistant test aluminum templates with qualified corrosion resistance and the number of chemical test aluminum templates.
The database stores standard size, allowable defect area, standard flatness, standard coating uniformity, standard hue, standard brightness and standard saturation of the current batch aluminum template, standard maximum tensile value, standard bearing load, standard thermal conductivity and standard temperature of the maximum thermal conductivity of the current batch aluminum template, safe storage time of the current batch aluminum template at a reference pH value, standard content and allowable content difference of each element, and allowable bubble generation area and component qualification value threshold.
Step six, mass analysis: and analyzing whether the production quality of the aluminum templates in the current batch is qualified or not according to the appearance quality qualification rate, the physical property quality qualification rate and the chemical property quality qualification rate corresponding to the aluminum templates in the current batch.
In the above, the specific analysis process is as follows: the appearance quality qualification rate, the physical property quality qualification rate and the chemical property quality qualification rate corresponding to the current batch of aluminum templates are multiplied in sequence to obtain the production quality qualification rate of the current batch of aluminum templates, and then the production quality qualification rate of the current batch of aluminum templates is compared with a preset production quality qualification rate threshold value, if the production quality qualification rate of the current batch of aluminum templates is greater than or equal to the preset production quality qualification rate threshold value, the production quality qualification of the current batch of aluminum templates is judged, otherwise, the production quality disqualification of the current batch of aluminum templates is judged.
And step seven, quality inspection display: and displaying whether the production quality of the aluminum templates in the current batch is qualified.
When the production quality of the current batch of aluminum templates is qualified, the display terminal displays that the production quality of the current batch of aluminum templates is qualified, and when the production quality of the current batch of aluminum templates is unqualified, the display terminal displays that the production quality of the current batch of aluminum templates is unqualified.
According to the embodiment of the invention, the appearance qualification rate of the aluminum templates in the current batch is calculated by collecting the appearance images of the aluminum templates in the current batch, sampling is carried out on the aluminum templates in the current batch, then, each physical test aluminum template and each chemical test aluminum template are respectively subjected to a physical performance test and a chemical performance test, and then, the physical performance qualification rate and the chemical performance qualification rate of the aluminum templates in the current batch are calculated, so that whether the production quality of the aluminum templates in the current batch is qualified is analyzed, the problem of insufficient intelligent manual sampling inspection in the traditional technology is solved, the workload of quality inspection personnel is greatly reduced, the accuracy of the quality inspection result of the aluminum templates is improved, the quality of the aluminum templates in application and the quality of the aluminum templates in subsequent use are guaranteed, the competitive power and the public praise of the aluminum templates in the market are improved, the customer satisfaction is improved, the after-sales service cost is reduced, the cooperation relation between enterprises and customers is effectively maintained, and the production and the selling stability of the aluminum templates is guaranteed.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined in the description.
Claims (4)
1. The quality inspection and detection method for the aluminum template based on machine vision is characterized by comprising the following steps of:
step one, appearance detection: after the production of the aluminum templates in the current batch is completed, appearance images of all the aluminum templates in the current batch are collected, and appearance quality qualification rate corresponding to the aluminum templates in the current batch is calculated;
The appearance quality qualification rate corresponding to the aluminum templates of the current batch is calculated, and the specific calculation process is as follows:
Based on the computer image recognition technology, the corresponding size and defect area of each aluminum template are obtained from the appearance image of each aluminum template and respectively recorded as 、/>I represents the number of each aluminum template, i=1, 2, & gt, the number of the aluminum templates is an arbitrary integer greater than 2, and the flatness and the coating uniformity of each aluminum template are calculated based on the appearance image of each aluminum template and are respectively recorded as/>、/>；
Extracting standard size, allowable defect area, standard flatness and standard coating uniformity of the current batch of aluminum templates from a database, and respectively marking as、/>、/>、/>；
According to the calculation formulaObtaining the appearance quality evaluation index/>, corresponding to the ith aluminum templateWherein/>、/>、/>、/>Respectively a preset size weight factor, a defect area weight factor, a flatness weight factor and a coating uniformity weight factor;
Comparing the quality evaluation index corresponding to each aluminum template with a preset quality evaluation index threshold, judging that the appearance quality of the aluminum template is qualified if the quality evaluation index corresponding to a certain aluminum template is larger than or equal to the preset quality evaluation index threshold, screening out the aluminum templates with qualified appearance quality, counting the number of the aluminum templates with qualified appearance quality, and dividing the number of the aluminum templates with qualified appearance quality by the total number of the aluminum templates in the current batch to obtain the appearance quality qualification rate corresponding to the aluminum templates in the current batch;
Step two, physical property test: randomly extracting a plurality of aluminum templates from the current batch of aluminum templates to serve as each physical test aluminum template, further testing the physical performance of each physical test aluminum template, and collecting test information of each physical test aluminum template after the physical performance test is finished;
the physical property test is carried out on each physical test aluminum template, and the specific test steps are as follows:
S21, trisecting each physical test aluminum template into each tensile test aluminum template, each hardness test aluminum template and each heat conduction test aluminum template;
S22, obtaining a standard maximum tensile value of the aluminum templates of the current batch from a database, sequentially placing the tensile test aluminum templates into a test tensile testing machine, gradually applying the standard maximum tensile value of the aluminum templates of the current batch through the tensile testing machine, ending the tensile test after a preset time period, and obtaining test images of the tensile test aluminum templates;
S23, acquiring standard bearing loads of the current batch of aluminum templates from a database, sequentially placing all the hardness test aluminum templates into a hardness test instrument, then applying the standard bearing loads of the current batch of aluminum templates to a pressure head of the hardness test instrument through the hardness test instrument, loading the pressure head of the hardness test instrument to all the hardness test aluminum templates, ending the hardness test after a preset time, and collecting the test depth of all the hardness test aluminum templates;
S24, obtaining standard temperature of the maximum heat conductivity corresponding to the current batch of aluminum templates from a database, placing each heat conduction test aluminum template on a heat conduction test instrument, performing heat conduction test on each heat conduction test aluminum template by using the standard temperature of the maximum heat conductivity, and collecting actual heat conductivity of each heat conduction test aluminum template after a preset time period;
step three, physical property analysis: calculating the physical property quality qualification rate of the aluminum templates of the current batch according to the test information of each physical test aluminum template;
The physical property quality qualification rate of the aluminum templates of the current batch is calculated, and the specific calculation process is as follows:
Extracting test images of the tensile test aluminum templates, test depths of the hardness test aluminum templates and actual heat conductivity of the heat conduction test aluminum templates from test information of the physical test aluminum templates;
judging whether each tensile test aluminum template is broken or not based on a computer image recognition technology and test images of each tensile test aluminum template, and counting the number of the unbroken tensile test aluminum templates;
comparing the test depth of each hardness test aluminum template with a preset allowable depth threshold, if the test depth of a certain hardness test aluminum template is larger than the preset allowable depth, judging that the hardness of the hardness test aluminum template is unqualified, otherwise, judging that the hardness of the hardness test aluminum template is qualified, and counting the number of the hardness test aluminum templates with qualified hardness;
Comparing the actual heat conductivity of each heat conduction test aluminum template with the maximum heat conductivity of the current batch of aluminum templates stored in the database, and if the actual heat conductivity of a certain heat conduction test aluminum template is greater than or equal to the maximum heat conductivity, judging that the heat conduction of the heat conduction test aluminum template is qualified, thereby counting the quantity of the heat conduction test aluminum templates qualified in heat conduction;
Substituting the number of the unbroken tensile test aluminum templates, the number of the hardness test aluminum templates with qualified hardness, the number of the heat conduction test aluminum templates with qualified heat conduction and the number of the physical test aluminum templates into a calculation formula to obtain the physical performance quality qualification rate of the aluminum templates in the current batch;
Step four, chemical performance test: randomly extracting a plurality of aluminum templates from the current batch of aluminum templates as each chemical test aluminum template, so as to perform chemical performance test on each chemical test aluminum template, and collecting test information of each chemical test aluminum template after the chemical performance test is finished;
the chemical performance test is carried out on each chemical test aluminum template, and the specific test process is as follows:
S41, halving each chemical test aluminum template, and respectively testing each component test aluminum template and each corrosion resistance test aluminum template;
S42, analyzing the component test aluminum templates through a spectrometer to obtain the actual content of each element in the component test aluminum templates;
S43, extracting the safe storage time of the current batch of aluminum templates at the reference pH value from a database, further respectively placing each corrosion-resistant test aluminum template into a solution with the reference pH value, standing for the safe storage time, distributing each acquisition time point according to a preset time interval in the standing process, acquiring test images of each corrosion-resistant test aluminum template at each acquisition time point, and ending the test after the standing is completed;
Step five, chemical property analysis: calculating the chemical property quality qualification rate of the aluminum templates of the current batch according to the test information of each chemical test aluminum template;
The chemical property quality qualification rate of the aluminum templates of the current batch is calculated, and the specific calculation process is as follows:
Extracting the actual content of each element in each component test aluminum template and the test image of each corrosion-resistant test aluminum template at each acquisition time point from the test information of each chemical test aluminum template;
the standard content and the permissible content of each element of the aluminum templates of the current batch stored in the database are poor, and the number of the component test aluminum templates with qualified components is analyzed based on the actual content of each element in the component test aluminum templates;
Based on a computer image recognition technology, acquiring the bubble generation area of each corrosion-resistant test aluminum template at each acquisition time point from the test image of each corrosion-resistant test aluminum template at each acquisition time point, comparing the bubble generation area of each corrosion-resistant test aluminum template at each acquisition time point with the allowable bubble generation area stored in a database, judging that the corrosion resistance of the corrosion-resistant test aluminum template is qualified if the bubble generation area of a certain corrosion-resistant test aluminum template at each acquisition time point is smaller than the allowable bubble generation area, otherwise judging that the corrosion resistance of the corrosion-resistant test aluminum template is unqualified, and counting the number of the corrosion-resistant qualified wear-resistant test aluminum templates;
According to the calculation formula Obtaining the chemical property quality qualification rate/>, of the current batch of aluminum templatesWherein af, an and a respectively represent the number of component test aluminum templates with qualified components, the number of wear-resistant test aluminum templates with qualified corrosion resistance and the number of chemical test aluminum templates;
Step six, mass analysis: analyzing whether the production quality of the aluminum templates in the current batch is qualified or not according to the appearance quality qualification rate, the physical property quality qualification rate and the chemical property quality qualification rate corresponding to the aluminum templates in the current batch;
and step seven, quality inspection display: and displaying whether the production quality of the aluminum templates in the current batch is qualified.
2. The machine vision-based aluminum template quality inspection detection method as claimed in claim 1, wherein the calculation formula of the physical property quality qualification rate of the current batch of aluminum templates is: In/> The physical property quality qualification rate of the aluminum templates in the current batch is represented, and wl, wy, wr, w represents the number of unbroken tensile test aluminum templates, the number of hardness test aluminum templates with qualified hardness, the number of heat conduction test aluminum templates with qualified heat conduction and the number of physical test aluminum templates respectively.
3. The machine vision-based aluminum template quality inspection detection method according to claim 1, wherein the analysis components are qualified to test the number of aluminum templates, and the specific analysis process is as follows:
the actual content of each element in each component test aluminum template is recorded as F represents each component test aluminum template number, f=1, 2, & gt, p, j represents the number corresponding to each element, j=1, 2, & gt, m, p and m are all any integer greater than 2;
the standard content and the permissible content difference of each element of the aluminum template of the current batch are respectively recorded as And/>And then substituting the calculated formula/>Obtaining the component qualified value/>, of each component test aluminum template；
Comparing the component qualification value of each component test aluminum template with a component qualification value threshold stored in a database, if the component qualification value of a certain component test aluminum template is larger than or equal to the component qualification value threshold, judging that the component of the component test aluminum template is qualified, otherwise, judging that the component of the component test aluminum template is unqualified, and counting the quantity of the component test aluminum templates with qualified components.
4. The machine vision-based aluminum template quality inspection detection method according to claim 1, wherein the analysis of whether the production quality of the aluminum templates in the current batch is qualified or not is performed by the following specific analysis process:
The appearance quality qualification rate, the physical property quality qualification rate and the chemical property quality qualification rate corresponding to the current batch of aluminum templates are multiplied in sequence to obtain the production quality qualification rate of the current batch of aluminum templates, and then the production quality qualification rate of the current batch of aluminum templates is compared with a preset production quality qualification rate threshold value, if the production quality qualification rate of the current batch of aluminum templates is greater than or equal to the preset production quality qualification rate threshold value, the production quality qualification of the current batch of aluminum templates is judged, otherwise, the production quality disqualification of the current batch of aluminum templates is judged.
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