CN117805145B - Aluminum template surface defect detection method and system - Google Patents
Aluminum template surface defect detection method and system Download PDFInfo
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- CN117805145B CN117805145B CN202410218845.1A CN202410218845A CN117805145B CN 117805145 B CN117805145 B CN 117805145B CN 202410218845 A CN202410218845 A CN 202410218845A CN 117805145 B CN117805145 B CN 117805145B
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- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 513
- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 513
- 238000001514 detection method Methods 0.000 title claims abstract description 94
- 230000007547 defect Effects 0.000 title claims abstract description 81
- 238000004458 analytical method Methods 0.000 claims abstract description 53
- 238000000034 method Methods 0.000 claims abstract description 23
- 238000012502 risk assessment Methods 0.000 claims description 31
- 239000011148 porous material Substances 0.000 claims description 16
- 238000012216 screening Methods 0.000 claims description 10
- 238000011077 uniformity evaluation Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000011179 visual inspection Methods 0.000 abstract description 4
- 238000010276 construction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004566 building material Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N33/2045—Defects
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Abstract
The invention discloses a method and a system for detecting surface defects of an aluminum template, which relate to the technical field of aluminum template detection and comprise the following steps: the method comprises the steps of primary detection of the aluminum template, primary analysis of the aluminum template, detection and analysis of the surface defects of the aluminum template, and risk display of the aluminum template, wherein the analysis of the apparent defects of the aluminum template is comprehensive, the analysis dimension is more, so that the apparent quality of the aluminum template is guaranteed, the safety of the building by using the aluminum template subsequently is guaranteed, the defect of manual visual inspection in the prior art is overcome, the detection method is objective, high in efficiency and not prone to error, the consumed time and cost are reduced to a certain extent, the time of detecting the defects of the aluminum template is shortened, the subsequent delivery timeliness of the aluminum template is guaranteed, and the occurrence rate of quality problems of the aluminum template caused by human judgment errors is reduced, so that the normal use of the aluminum template is guaranteed.
Description
Technical Field
The invention relates to the technical field of aluminum template detection, in particular to an aluminum template surface defect detection method and system.
Background
Aluminum templates are a common building material in the construction industry, and the surface quality of the aluminum templates directly affects the quality and the appearance of the construction engineering. However, for various reasons, various surface defects may occur in the production process of the aluminum template, and these defects not only affect the service performance of the aluminum template, but also directly affect the appearance and quality of the aluminum template after concrete pouring, if serious defects exist on the surface of the aluminum template, the surface of the aluminum template may be uneven after concrete pouring, and the aesthetic appearance of the building may be affected, meanwhile, these defects may also cause the structural strength of the aluminum template after concrete pouring to be reduced, and cause potential safety hazards to the construction engineering, so it is very important to detect the surface defects of the aluminum template.
In the prior art, the surface defect detection of the aluminum template can meet the current requirements to a certain extent, but certain defects exist, and the method is specifically implemented in the following layers: (1) The traditional aluminum template surface defect detection method mainly comprises the steps of manually visual inspection, high subjective factor, low efficiency, easiness in mistakes, and neglect of the prior art on the aspect, on one hand, the manual detection consumes more time and cost, the aluminum template defect detection duration is prolonged to a certain extent, the follow-up delivery timeliness of the aluminum template is influenced, and on the other hand, the occurrence rate of quality problems of the aluminum template caused by manual judgment errors is improved, so that the normal use of the aluminum template is difficult to guarantee.
(2) In the prior art, the degree of attention to the risk of bubbles in the aluminum template is not high, the surface and subsequent use of the aluminum template can be obviously influenced when the bubbles in the aluminum template are too much, the prior art neglects the problem that the analysis of apparent defects of the aluminum template is not comprehensive enough on the one hand, the analysis dimension is small, the apparent quality of the aluminum template is difficult to guarantee, the discharge is blocked when the follow-up concrete pouring is caused by too much bubbles on the other hand, the phenomenon of sticking to the mold is easy to occur, and the safety of building by using the aluminum template subsequently is difficult to guarantee.
Disclosure of Invention
The invention aims to provide a method and a system for detecting surface defects of an aluminum template, which solve the problems in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: the first aspect of the invention provides a method for detecting surface defects of an aluminum template, which comprises the following steps: step one, preliminary detection of an aluminum template: randomly extracting an aluminum template from the batch of aluminum templates, taking the aluminum template as a sample aluminum template, and carrying out three-dimensional scanning on the sample aluminum template to construct a three-dimensional model corresponding to the sample aluminum template.
Step two, preliminary analysis of an aluminum template: and analyzing the model conformity corresponding to the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, further judging whether to perform surface defect detection on the sample aluminum template, if so, executing the third step, otherwise, performing abnormal early warning on the sample aluminum template model, and re-executing the first step.
Step three, detecting and analyzing the surface defects of the aluminum template: and carrying out x-ray detection on the sample aluminum template to obtain detection data corresponding to the sample aluminum template, wherein the detection data comprise the intensity of scattered x-rays in a set detection period of each subarea, analyzing an internal bubble risk assessment index corresponding to the sample aluminum template according to the intensity of scattered x-rays, and analyzing the aperture rationality, the color coincidence degree, the scratch risk value and the crack risk value corresponding to the sample aluminum template by combining a three-dimensional model of the sample aluminum template.
Fourth, risk display of the aluminum template: and analyzing and displaying the surface defect risk assessment grade corresponding to the sample aluminum template based on the aperture rationality, the color conformity, the scratch risk value and the crack risk value corresponding to the sample aluminum template.
Further, the specific analysis method for analyzing the model conformity corresponding to the sample aluminum template comprises the following steps: obtaining a standard three-dimensional model corresponding to the aluminum template from the cloud database, and obtaining a standard volume corresponding to the aluminum templateAnd number of round holes/>。
The three-dimensional model of the sample aluminum template is subjected to superposition comparison with the standard three-dimensional model, and the superposition volume of the three-dimensional model of the sample aluminum template and the standard three-dimensional model is obtainedAnd combining a three-dimensional model of the sample aluminum template to obtain the number of round holes/>。
Comprehensively analyzing model conformity corresponding to sample aluminum templateWherein/>、/>Respectively expressed as a predefined volume-similar influence weight factor and a round hole-number-similar influence weight factor.
Further, the x-ray detection is performed on the sample aluminum template, so as to obtain detection data corresponding to the sample aluminum template, and the specific method comprises the following steps: dividing the main surface of the sample aluminum template into a plurality of subareas according to the equal area, further obtaining each subarea corresponding to the sample aluminum template, sequentially placing each subarea of the sample aluminum template between an x-ray source and a detector, carrying out x-ray irradiation in a set detection period, and obtaining the intensity of each scattered x-ray of each subarea of the sample aluminum template in the set detection period by the detector.
Further, the analysis sample aluminum template corresponds to an internal bubble risk assessment index, and the specific analysis method comprises the following steps: extracting the intensity of scattered x-rays of each subarea in a set detection period from detection data corresponding to a sample aluminum template, and comparing the intensity of scattered x-rays of each subarea with the intensity of scattered x-rays of no bubble in the aluminum template stored in a cloud databaseAnd comparing, if the intensity of all scattered x-rays of a certain subarea to which the sample aluminum template belongs in a set detection period is smaller than the intensity of scattered x-rays to which no air bubble belongs, marking the subarea as a pure subarea, otherwise, marking the subarea as an air bubble subarea, and further obtaining all pure subareas and all air bubble subareas corresponding to the sample aluminum template.
Based on each bubble subregion that sample aluminum template corresponds, analyzing the bubble distribution uniformity evaluation index that sample aluminum template corresponds。
Acquiring the intensity of each scattered X-ray in a set detection period corresponding to each bubble subarea of a sample aluminum templateWherein/>Numbering of each bubble subregion,/>，/>Is any integer greater than 2,/>For each number of scattered x-rays,，/>Is any integer greater than 2, and further comprehensively analyzes the internal bubble risk assessment index corresponding to the sample aluminum templateWherein/>For the number of scattered x-rays,/>Is the number of bubble subregions.
Further, the analysis sample aluminum template corresponds to the bubble distribution uniformity evaluation indexThe specific analysis method comprises the following steps: based on each bubble subregion corresponding to the sample aluminum template, further acquiring a total region enclosed by each bubble subregion corresponding to the sample aluminum template, acquiring a bubble total region corresponding to the sample aluminum template, and acquiring the corresponding area/>。
Obtaining total surface area based on corresponding three-dimensional model of sample aluminum templateAnd counting the number/>, of the sample aluminum templates corresponding to the bubble subregionsAnd number of subregions/>Further comprehensively analyzing bubble distribution uniformity evaluation index/>, corresponding to the sample aluminum templateWherein/>Is a natural constant.
Further, the pore diameter rationality corresponding to the analysis sample aluminum template is determined by the specific analysis method: obtaining diameters of round holes corresponding to surfaces of sample aluminum templates based on three-dimensional models corresponding to the sample aluminum templatesWherein/>Numbering of surfaces,/>，/>Is any integer greater than 2,/>Numbering of round holes,/>，/>Is any integer greater than 2.
Establishing a coordinate system by taking the geometric center point of the sample aluminum template as an origin, and further obtaining the coordinates of the sample aluminum template corresponding to the center point of each round hole of each surface。
Extracting proper distance between adjacent round holes corresponding to aluminum templates from cloud databaseAnd extracting the standard diameter/>, of the round hole from the cloud databaseThereby analyzing the aperture rationality of each surface corresponding to the sample aluminum templateWherein/>Is the number of round holes.
Screening the maximum aperture rationality corresponding to the sample aluminum template based on the aperture rationality corresponding to each surface of the sample aluminum templateAnd minimum pore size rationality/>Further comprehensively analyzing the aperture rationality corresponding to the sample aluminum templateWherein/>For the number of corresponding surfaces of the sample aluminum template,/>Reasonable deviation degree of predefined allowable aperture,/>、/>The duty factor of the average pore diameter rationality and the duty factor of the deviation of the pore diameter rationality are predefined respectively.
Further, the specific analysis method for analyzing the color coincidence degree corresponding to the sample aluminum template comprises the following steps: based on the three-dimensional model corresponding to the sample aluminum template, each arrangement point of each surface to which the sample aluminum template belongs is randomly obtained, and then the chromaticity value of each arrangement point corresponding to each surface to which the sample aluminum template belongs is obtained.
Based on a standard three-dimensional model corresponding to the aluminum template, each detection point of each surface corresponding to the aluminum template is randomly obtained, then the chromaticity value of each detection point of each surface corresponding to the aluminum template is obtained, and the chromaticity value is respectively subjected to mean value processing to obtain the average chromaticity value of each surface corresponding to the aluminum template.
The chromaticity value of each surface corresponding to each distribution point of the sample aluminum template is differenced with the average chromaticity value to obtain the chromaticity deviation value of each surface corresponding to each distribution point of the sample aluminum template, and the chromaticity deviation value is allowed corresponding to the aluminum template stored in the cloud databaseAnd comparing, if the chromaticity deviation value of a certain surface of the sample aluminum template corresponding to a certain arrangement point is larger than the allowable chromaticity deviation value, marking the arrangement point as a chromaticity deviation arrangement point, and further obtaining each chromaticity deviation arrangement point corresponding to each surface of the sample aluminum template.
Counting the number of corresponding chromaticity deviation distribution points of each surface to which the sample aluminum template belongsAnd number of layout points/>Obtaining the chromaticity deviation value/>, corresponding to each chromaticity deviation distribution point, of each surface of the sample aluminum template based on the chromaticity deviation value, corresponding to each distribution point, of each surface of the sample aluminum templateWherein/>The number of the point is distributed for each color deviation,/>，/>Is any integer greater than 2.
Comprehensive analysis of color coincidence degree corresponding to sample aluminum templateWherein/>The number of points is set for the chromaticity deviation.
Further, the scratch risk value corresponding to the analysis sample aluminum template is specifically analyzed by the following steps: and acquiring images of all surfaces of the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, and carrying out gray processing on the images to obtain gray images of all the surfaces of the sample aluminum template, so as to acquire gray values of all the surfaces of the sample aluminum template.
Comparing each gray value of each surface of the sample aluminum template with the scratch gray value interval of the aluminum template stored in the cloud database, if a certain gray value of a certain surface of the sample aluminum template is within the scratch gray value interval of the aluminum template, marking the gray value as a scratch gray value, screening each scratch gray value corresponding to each surface of the sample aluminum template, obtaining the area of each scratch gray value corresponding to each surface of the sample aluminum template, marking the area as each scratch area of each surface of the sample aluminum template, obtaining the area of each scratch area of each surface of the sample aluminum template, and further counting the total scratch area of each surface of the sample aluminum templateWherein/>Numbering of surfaces,/>，/>Is any integer greater than 2.
Obtaining the surface area of each surface corresponding to the sample aluminum templateFurther comprehensively analyzing scratch risk value/>, corresponding to sample aluminum template。
Further, the specific analysis method of the surface defect risk assessment grade corresponding to the analysis sample aluminum template comprises the following steps: comparing the aperture rationality corresponding to the sample aluminum template with a predefined aperture rationality threshold, and if the aperture rationality corresponding to the sample aluminum template is smaller than the aperture rationality threshold, marking the aperture danger value corresponding to the sample aluminum template asOtherwise, it is recorded as/>And counting the aperture dangerous value/>, corresponding to the sample aluminum templateWherein/>。
Similarly, analyzing to obtain color dangerous value corresponding to sample aluminum template。
Comparing the scratch risk value corresponding to the sample aluminum template with a predefined scratch risk threshold, and if the scratch risk value corresponding to the sample aluminum template is greater than or equal to the scratch risk threshold, marking the scratch risk value corresponding to the sample aluminum template asOtherwise, it is recorded as/>And counting scratch hazard values/>, corresponding to the sample aluminum templatesWherein/>。
Similarly, analyzing to obtain crack danger value corresponding to sample aluminum template。
And accumulating the aperture risk value, the color risk value, the scratch risk value and the crack risk value corresponding to the sample aluminum template to obtain a comprehensive risk value corresponding to the sample aluminum template, and screening the comprehensive risk value corresponding to the surface defect risk assessment grade stored in the cloud database.
In a second aspect, the present invention provides a system for detecting surface defects of an aluminum template, comprising: the aluminum template preliminary detection module is used for randomly extracting aluminum templates from the batch of aluminum templates, taking the aluminum templates as sample aluminum templates, and carrying out three-dimensional scanning on the sample aluminum templates so as to construct a three-dimensional model corresponding to the sample aluminum templates.
And the aluminum template preliminary analysis module is used for analyzing the model coincidence degree corresponding to the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, further judging whether to detect the surface defects of the sample aluminum template, executing the third step if the surface defects of the sample aluminum template are detected, otherwise, carrying out abnormal early warning on the model of the sample aluminum template.
And the aluminum template surface defect detection analysis module is used for carrying out x-ray detection on the sample aluminum template so as to obtain detection data corresponding to the sample aluminum template, wherein the detection data comprise the intensity of scattered x-rays in a set detection period of each subarea, analyzing an internal bubble risk assessment index corresponding to the sample aluminum template according to the intensity of the scattered x-rays, and analyzing the aperture rationality, the color coincidence degree, the scratch risk value and the crack risk value corresponding to the sample aluminum template by combining a three-dimensional model of the sample aluminum template.
And the aluminum template risk display module is used for analyzing and displaying the surface defect risk assessment grade corresponding to the sample aluminum template.
The invention has the beneficial effects that: (1) In the first step, the aluminum templates are randomly selected and three-dimensional scanning is carried out on the aluminum templates, so that support is provided for the follow-up aluminum templates.
(2) In the invention, the three-dimensional model of the aluminum template is subjected to preliminary analysis in the second step, so that whether the surface defect detection is performed on the aluminum template is judged, and a foundation is laid for the analysis of the surface defect detection of the aluminum template in the subsequent step III.
(3) According to the invention, in the third step, the aluminum template is subjected to x-ray detection, detection data are obtained, and the defect of low attention to the risk of bubbles in the aluminum template in the prior art is overcome, so that the apparent defect of the aluminum template is comprehensively analyzed, the analysis dimension is more, the apparent quality of the aluminum template is ensured, the phenomenon of blocked discharge during subsequent concrete pouring caused by excessive discharge is avoided, the occurrence rate of the sticking phenomenon is reduced, and the safety of a building using the aluminum template is ensured.
According to the invention, in the three steps, the scratch risk value and the crack risk value of the aluminum template are analyzed through the three-dimensional model of the aluminum template, and the aperture rationality and the color conformity of the aluminum template are analyzed by combining the standard three-dimensional model of the aluminum template, so that the defects of manual visual inspection in the prior art are overcome, the detection method is objective, the efficiency is high, errors are not easy to occur, the consumed time and cost are reduced to a certain extent, the defect detection duration of the aluminum template is shortened, the subsequent delivery timeliness of the aluminum template is ensured, and the occurrence rate of quality problems of the aluminum template caused by human judgment errors is reduced, thereby ensuring the normal use of the aluminum template.
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 schematic flow chart of the steps of the method of the present invention;
FIG. 2 is a schematic diagram of the system structure connection of the present invention;
FIG. 3 is a schematic diagram of an aluminum template of the present invention;
reference numerals: 1. a major surface.
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, a first aspect of the present invention provides a method and a system for detecting surface defects of an aluminum template, including: step one, preliminary detection of an aluminum template: randomly extracting an aluminum template from the batch of aluminum templates, taking the aluminum template as a sample aluminum template, and carrying out three-dimensional scanning on the sample aluminum template to construct a three-dimensional model corresponding to the sample aluminum template.
In the first step, the aluminum templates are randomly selected and three-dimensional scanning is carried out on the aluminum templates, so that support is provided for the follow-up aluminum templates.
Step two, preliminary analysis of an aluminum template: and analyzing the model conformity corresponding to the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, further judging whether to perform surface defect detection on the sample aluminum template, if so, executing the third step, otherwise, performing abnormal early warning on the sample aluminum template model, and re-executing the first step.
In a specific embodiment of the present invention, the method for analyzing the model conformity corresponding to the sample aluminum template includes: obtaining a standard three-dimensional model corresponding to the aluminum template from the cloud database, and obtaining a standard volume corresponding to the aluminum templateAnd number of round holes/>。
The three-dimensional model of the sample aluminum template is subjected to superposition comparison with the standard three-dimensional model, and the superposition volume of the three-dimensional model of the sample aluminum template and the standard three-dimensional model is obtainedAnd combining a three-dimensional model of the sample aluminum template to obtain the number of round holes/>。
Comprehensively analyzing model conformity corresponding to sample aluminum templateWherein/>、/>Respectively expressed as a predefined volume-similar influence weight factor and a round hole-number-similar influence weight factor.
The following is a description of、/>The values of (2) are all 0 to 1.
It should also be noted that, the specific judging method for judging whether to detect the surface defect of the sample aluminum template is as follows: comparing the model conformity corresponding to the sample aluminum template with a predefined model conformity threshold, if the model conformity corresponding to the sample aluminum template is greater than or equal to the predefined model conformity threshold, performing surface defect detection on the sample aluminum template, otherwise, not performing surface defect detection on the sample aluminum template.
In the invention, the three-dimensional model of the aluminum template is subjected to preliminary analysis in the second step, so that whether the surface defect detection is performed on the aluminum template is judged, and a foundation is laid for the analysis of the surface defect detection of the aluminum template in the subsequent step III.
Step three, detecting and analyzing the surface defects of the aluminum template: and carrying out x-ray detection on the sample aluminum template to obtain detection data corresponding to the sample aluminum template, wherein the detection data comprise the intensity of scattered x-rays in a set detection period of each subarea, analyzing an internal bubble risk assessment index corresponding to the sample aluminum template according to the intensity of scattered x-rays, and analyzing the aperture rationality, the color coincidence degree, the scratch risk value and the crack risk value corresponding to the sample aluminum template by combining a three-dimensional model of the sample aluminum template.
In a specific embodiment of the present invention, the x-ray detection is performed on the sample aluminum template, so as to obtain detection data corresponding to the sample aluminum template, and the specific method includes: referring to fig. 3, a main surface 1 of a sample aluminum template is divided into a plurality of subareas according to an equal area, so as to obtain subareas corresponding to the sample aluminum template, each subarea to which the sample aluminum template belongs is sequentially placed between an x-ray source and a detector, x-ray irradiation is performed in a set detection period, and the detector obtains the intensity of each scattered x-ray of each subarea to which the sample aluminum template belongs in the set detection period.
In a specific embodiment of the present invention, the analysis method for analyzing the risk assessment index of the internal air bubbles corresponding to the sample aluminum template includes: extracting the intensity of scattered x-rays of each subarea in a set detection period from detection data corresponding to a sample aluminum template, and comparing the intensity of scattered x-rays of each subarea with the intensity of scattered x-rays of no bubble in the aluminum template stored in a cloud databaseAnd comparing, if the intensity of all scattered x-rays of a certain subarea to which the sample aluminum template belongs in a set detection period is smaller than the intensity of scattered x-rays to which no air bubble belongs, marking the subarea as a pure subarea, otherwise, marking the subarea as an air bubble subarea, and further obtaining all pure subareas and all air bubble subareas corresponding to the sample aluminum template.
It should be noted that, after penetrating through the aluminum template, the x-ray interacts with the air bubble inside the aluminum template, if the x-ray encounters the air bubble, the x-ray after scattering will be captured by the detector, and the stronger the intensity of the x-ray after scattering, the greater the risk of the air bubble inside the aluminum template.
Based on each bubble subregion that sample aluminum template corresponds, analyzing the bubble distribution uniformity evaluation index that sample aluminum template corresponds。
Acquiring the intensity of each scattered X-ray in a set detection period corresponding to each bubble subarea of a sample aluminum templateWherein/>Numbering of each bubble subregion,/>，/>Is any integer greater than 2,/>For each number of scattered x-rays,，/>Is any integer greater than 2, and further comprehensively analyzes the internal bubble risk assessment index corresponding to the sample aluminum templateWherein/>For the number of scattered x-rays,/>Is the number of bubble subregions.
The degree of influence of bubbles on the apparent mass of the aluminum template is related to the distribution thereof, and specifically, if the bubbles are uniformly distributed, the influence of the bubbles on the apparent mass of the aluminum template is relatively small, whereas if the bubbles are unevenly distributed, the influence of the bubbles on the apparent mass of the aluminum template is larger.
In a specific embodiment of the present invention, the bubble distribution uniformity evaluation index corresponding to the analysis sample aluminum templateThe specific analysis method comprises the following steps: based on each bubble subregion corresponding to the sample aluminum template, further acquiring a total region enclosed by each bubble subregion corresponding to the sample aluminum template, acquiring a bubble total region corresponding to the sample aluminum template, and acquiring the corresponding area/>。
Obtaining total surface area based on corresponding three-dimensional model of sample aluminum templateAnd counting the number/>, of the sample aluminum templates corresponding to the bubble subregionsAnd number of subregions/>Further comprehensively analyzing bubble distribution uniformity evaluation index/>, corresponding to the sample aluminum templateWherein/>Is a natural constant.
According to the invention, in the third step, the aluminum template is subjected to x-ray detection, detection data are obtained, and the defect of low attention to the risk of bubbles in the aluminum template in the prior art is overcome, so that the apparent defect of the aluminum template is comprehensively analyzed, the analysis dimension is more, the apparent quality of the aluminum template is ensured, the phenomenon of blocked discharge during subsequent concrete pouring caused by excessive discharge is avoided, the occurrence rate of the sticking phenomenon is reduced, and the safety of a building using the aluminum template is ensured.
In a specific embodiment of the invention, the pore diameter rationality corresponding to the analysis sample aluminum template is determined by the following specific analysis method: obtaining diameters of round holes corresponding to surfaces of sample aluminum templates based on three-dimensional models corresponding to the sample aluminum templatesWherein/>Numbering of surfaces,/>，/>Is any integer greater than 2,/>The number of each round hole is given to the number,，/>Is any integer greater than 2.
Establishing a coordinate system by taking the geometric center point of the sample aluminum template as an origin, and further obtaining the coordinates of the sample aluminum template corresponding to the center point of each round hole of each surface。
Extracting proper distance between adjacent round holes corresponding to aluminum templates from cloud databaseAnd extracting the standard diameter/>, of the round hole from the cloud databaseThereby analyzing the aperture rationality of each surface corresponding to the sample aluminum templateWherein/>Is the number of round holes.
Screening the maximum aperture rationality corresponding to the sample aluminum template based on the aperture rationality corresponding to each surface of the sample aluminum templateAnd minimum pore size rationality/>Further comprehensively analyzing the aperture rationality corresponding to the sample aluminum templateWherein/>For the number of corresponding surfaces of the sample aluminum template,/>Reasonable deviation degree of predefined allowable aperture,/>、/>The duty factor of the average pore diameter rationality and the duty factor of the deviation of the pore diameter rationality are predefined respectively.
In a specific embodiment of the present invention, the specific analysis method for analyzing the color conformity corresponding to the sample aluminum template includes: based on the three-dimensional model corresponding to the sample aluminum template, each arrangement point of each surface to which the sample aluminum template belongs is randomly obtained, and then the chromaticity value of each arrangement point corresponding to each surface to which the sample aluminum template belongs is obtained.
Based on a standard three-dimensional model corresponding to the aluminum template, each detection point of each surface corresponding to the aluminum template is randomly obtained, then the chromaticity value of each detection point of each surface corresponding to the aluminum template is obtained, and the chromaticity value is respectively subjected to mean value processing to obtain the average chromaticity value of each surface corresponding to the aluminum template.
The chromaticity value of each surface corresponding to each distribution point of the sample aluminum template is differenced with the average chromaticity value to obtain the chromaticity deviation value of each surface corresponding to each distribution point of the sample aluminum template, and the chromaticity deviation value is allowed corresponding to the aluminum template stored in the cloud databaseAnd comparing, if the chromaticity deviation value of a certain surface of the sample aluminum template corresponding to a certain arrangement point is larger than the allowable chromaticity deviation value, marking the arrangement point as a chromaticity deviation arrangement point, and further obtaining each chromaticity deviation arrangement point corresponding to each surface of the sample aluminum template.
Counting the number of corresponding chromaticity deviation distribution points of each surface to which the sample aluminum template belongsAnd number of layout points/>Obtaining the chromaticity deviation value/>, corresponding to each chromaticity deviation distribution point, of each surface of the sample aluminum template based on the chromaticity deviation value, corresponding to each distribution point, of each surface of the sample aluminum templateWherein/>The number of the point is distributed for each color deviation,/>，/>Is any integer greater than 2.
Comprehensive analysis of color coincidence degree corresponding to sample aluminum templateWherein/>The number of points is set for the chromaticity deviation.
In a specific embodiment of the present invention, the scratch risk value corresponding to the analysis sample aluminum template is specifically analyzed by the following method: and acquiring images of all surfaces of the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, and carrying out gray processing on the images to obtain gray images of all the surfaces of the sample aluminum template, so as to acquire gray values of all the surfaces of the sample aluminum template.
Comparing each gray value of each surface of the sample aluminum template with the scratch gray value interval of the aluminum template stored in the cloud database, if a certain gray value of a certain surface of the sample aluminum template is within the scratch gray value interval of the aluminum template, marking the gray value as a scratch gray value, screening each scratch gray value corresponding to each surface of the sample aluminum template, obtaining the area of each scratch gray value corresponding to each surface of the sample aluminum template, marking the area as each scratch area of each surface of the sample aluminum template, obtaining the area of each scratch area of each surface of the sample aluminum template, and further counting the total scratch area of each surface of the sample aluminum templateWherein/>Numbering of surfaces,/>，/>Is any integer greater than 2.
Obtaining the surface area of each surface corresponding to the sample aluminum templateFurther comprehensively analyzing scratch risk value/>, corresponding to sample aluminum template。
The analysis method of scratch risk values corresponding to the sample aluminum templates is consistent, and crack risk values corresponding to the sample aluminum templates are analyzed.
According to the invention, in the three steps, the scratch risk value and the crack risk value of the aluminum template are analyzed through the three-dimensional model of the aluminum template, and the aperture rationality and the color conformity of the aluminum template are analyzed by combining the standard three-dimensional model of the aluminum template, so that the defects of manual visual inspection in the prior art are overcome, the detection method is objective, the efficiency is high, errors are not easy to occur, the consumed time and cost are reduced to a certain extent, the defect detection duration of the aluminum template is shortened, the subsequent delivery timeliness of the aluminum template is ensured, and the occurrence rate of quality problems of the aluminum template caused by human judgment errors is reduced, thereby ensuring the normal use of the aluminum template.
Fourth, risk display of the aluminum template: and analyzing and displaying the surface defect risk assessment grade corresponding to the sample aluminum template based on the aperture rationality, the color conformity, the scratch risk value and the crack risk value corresponding to the sample aluminum template.
In a specific embodiment of the present invention, the analyzing the surface defect risk assessment grade corresponding to the sample aluminum template specifically includes: comparing the aperture rationality corresponding to the sample aluminum template with a predefined aperture rationality threshold, and if the aperture rationality corresponding to the sample aluminum template is smaller than the aperture rationality threshold, marking the aperture danger value corresponding to the sample aluminum template asOtherwise, it is recorded as/>And counting the aperture dangerous value/>, corresponding to the sample aluminum templateWherein。
Similarly, analyzing to obtain color dangerous value corresponding to sample aluminum template。
Comparing the scratch risk value corresponding to the sample aluminum template with a predefined scratch risk threshold, and if the scratch risk value corresponding to the sample aluminum template is greater than or equal to the scratch risk threshold, marking the scratch risk value corresponding to the sample aluminum template asOtherwise, it is recorded as/>And counting scratch hazard values/>, corresponding to the sample aluminum templatesWherein/>。
Similarly, analyzing to obtain crack danger value corresponding to sample aluminum template。
In one embodiment of the present invention, in one embodiment,May specifically refer to 1,/>And the color risk value, the scratch risk value and the crack risk value corresponding to the sample aluminum template are equivalent.
And accumulating the aperture risk value, the color risk value, the scratch risk value and the crack risk value corresponding to the sample aluminum template to obtain a comprehensive risk value corresponding to the sample aluminum template, and screening the comprehensive risk value corresponding to the surface defect risk assessment grade stored in the cloud database.
In one embodiment, ifSpecifically 1,/>Specifically, referring to 0, the color risk value, the scratch risk value and the crack risk value corresponding to the sample aluminum template are the same, if the value range of the comprehensive risk value corresponding to the sample aluminum template is 0 to 4, the comprehensive risk value corresponding to each surface defect risk evaluation level is set, which can be specifically: the surface defect risk assessment grades are zero grade, first grade, second grade, third grade and fourth grade, wherein the comprehensive risk value of the zero grade surface defect risk assessment grade is 0, the comprehensive risk value of the first grade surface defect risk assessment grade is 1, the comprehensive risk value of the second grade surface defect risk assessment grade is 2, the comprehensive risk value of the third grade surface defect risk assessment grade is 3, and the comprehensive risk value of the fourth grade surface defect risk assessment grade is 4.
Referring to fig. 2, a second aspect of the present invention provides an aluminum template surface defect detection system, comprising: the aluminum template preliminary detection module is used for randomly extracting aluminum templates from the batch of aluminum templates, taking the aluminum templates as sample aluminum templates, and carrying out three-dimensional scanning on the sample aluminum templates so as to construct a three-dimensional model corresponding to the sample aluminum templates.
And the aluminum template preliminary analysis module is used for analyzing the model coincidence degree corresponding to the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, further judging whether to detect the surface defects of the sample aluminum template, executing the third step if the surface defects of the sample aluminum template are detected, otherwise, carrying out abnormal early warning on the model of the sample aluminum template.
And the aluminum template surface defect detection analysis module is used for carrying out x-ray detection on the sample aluminum template so as to obtain detection data corresponding to the sample aluminum template, wherein the detection data comprise the intensity of scattered x-rays in a set detection period of each subarea, analyzing an internal bubble risk assessment index corresponding to the sample aluminum template according to the intensity of the scattered x-rays, and analyzing the aperture rationality, the color coincidence degree, the scratch risk value and the crack risk value corresponding to the sample aluminum template by combining a three-dimensional model of the sample aluminum template.
And the aluminum template risk display module is used for analyzing and displaying the surface defect risk assessment grade corresponding to the sample aluminum template.
It should be noted that the invention also includes a cloud database for storing a standard three-dimensional model corresponding to the aluminum template, storing the intensity of scattered x-rays to which no bubble belongs in the aluminum template, storing a proper distance between adjacent round holes and a standard diameter of the round holes corresponding to the aluminum template, storing an allowable chromaticity deviation value corresponding to the aluminum template, storing a scratch gray value interval of the aluminum template, and storing a comprehensive danger value corresponding to each surface defect risk assessment level.
The foregoing is merely illustrative and explanatory of the principles of this 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 this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. The method for detecting the surface defects of the aluminum template is characterized by comprising the following steps of:
Step one, preliminary detection of an aluminum template: randomly extracting an aluminum template from the batch of aluminum templates, taking the aluminum template as a sample aluminum template, and carrying out three-dimensional scanning on the sample aluminum template to construct a three-dimensional model corresponding to the sample aluminum template;
Step two, preliminary analysis of an aluminum template: analyzing the model conformity corresponding to the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, further judging whether to perform surface defect detection on the sample aluminum template, if so, executing the third step, otherwise, performing abnormal early warning on the sample aluminum template model, and re-executing the first step;
the model conformity corresponding to the analysis sample aluminum template is analyzed by the specific analysis method that:
obtaining a standard three-dimensional model corresponding to the aluminum template from the cloud database, and obtaining a standard volume corresponding to the aluminum template And number of round holes/>；
The three-dimensional model of the sample aluminum template is subjected to superposition comparison with the standard three-dimensional model, and the superposition volume of the three-dimensional model of the sample aluminum template and the standard three-dimensional model is obtainedAnd combining a three-dimensional model of the sample aluminum template to obtain the number of round holes/>；
Comprehensively analyzing model conformity corresponding to sample aluminum templateWherein/>、/>The influence weight factors are respectively expressed as predefined volume similar influence weight factors and round hole number similar influence weight factors;
Step three, detecting and analyzing the surface defects of the aluminum template: performing x-ray detection on the sample aluminum template to obtain detection data corresponding to the sample aluminum template, wherein the detection data comprise the intensity of scattered x-rays in a set detection period of each subarea, analyzing an internal bubble risk assessment index corresponding to the sample aluminum template according to the intensity of scattered x-rays, and analyzing the aperture rationality, the color coincidence degree, the scratch risk value and the crack risk value corresponding to the sample aluminum template by combining a three-dimensional model of the sample aluminum template;
the pore diameter rationality corresponding to the analysis sample aluminum template comprises the following specific analysis methods:
Obtaining diameters of round holes corresponding to surfaces of sample aluminum templates based on three-dimensional models corresponding to the sample aluminum templates Wherein/>Numbering of surfaces,/>，/>Is any integer greater than 2,/>Numbering of round holes,/>，Is any integer greater than 2;
establishing a coordinate system by taking the geometric center point of the sample aluminum template as an origin, and further obtaining the coordinates of the sample aluminum template corresponding to the center point of each round hole of each surface ；
Extracting proper distance between adjacent round holes corresponding to aluminum templates from cloud databaseAnd extracting the standard diameter/>, of the round hole from the cloud databaseThereby analyzing the aperture rationality of each surface corresponding to the sample aluminum templateWherein/>The number of the round holes;
Screening the maximum aperture rationality corresponding to the sample aluminum template based on the aperture rationality corresponding to each surface of the sample aluminum template And minimum pore size rationality/>Further comprehensively analyzing the aperture rationality corresponding to the sample aluminum templateWherein/>For the number of corresponding surfaces of the sample aluminum template,/>Reasonable deviation degree of predefined allowable aperture,/>、/>The duty factor of the average pore diameter rationality and the duty factor of the deviation of the pore diameter rationality are predefined respectively;
Fourth, risk display of the aluminum template: and analyzing and displaying the surface defect risk assessment grade corresponding to the sample aluminum template based on the aperture rationality, the color conformity, the scratch risk value and the crack risk value corresponding to the sample aluminum template.
2. The method for detecting surface defects of aluminum templates according to claim 1, wherein the x-ray detection is performed on the sample aluminum templates, so as to obtain detection data corresponding to the sample aluminum templates, and the specific method comprises the following steps:
dividing the main surface of the sample aluminum template into a plurality of subareas according to the equal area, further obtaining each subarea corresponding to the sample aluminum template, sequentially placing each subarea of the sample aluminum template between an x-ray source and a detector, carrying out x-ray irradiation in a set detection period, and obtaining the intensity of each scattered x-ray of each subarea of the sample aluminum template in the set detection period by the detector.
3. The method for detecting surface defects of aluminum templates according to claim 2, wherein the analyzing sample aluminum templates corresponds to an internal bubble risk assessment index, and the specific analyzing method comprises the following steps:
Extracting the intensity of scattered x-rays of each subarea in a set detection period from detection data corresponding to a sample aluminum template, and comparing the intensity of scattered x-rays of each subarea with the intensity of scattered x-rays of no bubble in the aluminum template stored in a cloud database Comparing, if the intensity of all scattered x-rays of a certain subarea to which the sample aluminum template belongs is smaller than the intensity of scattered x-rays to which no air bubble belongs in a set detection period, marking the subarea as a pure subarea, otherwise, marking the subarea as an air bubble subarea, and further obtaining all pure subareas and all air bubble subareas corresponding to the sample aluminum template;
Based on each bubble subregion that sample aluminum template corresponds, analyzing the bubble distribution uniformity evaluation index that sample aluminum template corresponds ；
Acquiring the intensity of each scattered X-ray in a set detection period corresponding to each bubble subarea of a sample aluminum templateWherein/>Numbering of each bubble subregion,/>，/>Is any integer greater than 2,/>For each number of scattered x-rays,，/>Is any integer greater than 2, and further comprehensively analyzes the internal bubble risk assessment index corresponding to the sample aluminum templateWherein/>For the number of scattered x-rays,/>Is the number of bubble subregions.
4. A method for detecting surface defects of aluminum templates according to claim 3, wherein the analysis sample aluminum templates are provided with a bubble distribution uniformity evaluation indexThe specific analysis method comprises the following steps:
based on each bubble subregion corresponding to the sample aluminum template, further acquiring a total region enclosed by each bubble subregion corresponding to the sample aluminum template, acquiring a bubble total region corresponding to the sample aluminum template, and acquiring the corresponding area of the bubble total region ；
Obtaining total surface area based on corresponding three-dimensional model of sample aluminum templateAnd counting the number/>, of the sample aluminum templates corresponding to the bubble subregionsAnd number of subregions/>Further comprehensively analyzing bubble distribution uniformity evaluation indexes corresponding to sample aluminum templatesWherein/>Is a natural constant.
5. The method for detecting surface defects of aluminum templates according to claim 1, wherein the analyzing the color coincidence degree of the aluminum templates of the sample is as follows:
based on a three-dimensional model corresponding to the sample aluminum template, randomly acquiring each arrangement point of each surface to which the sample aluminum template belongs, and further acquiring the chromaticity value of each arrangement point corresponding to each surface to which the sample aluminum template belongs;
based on a standard three-dimensional model corresponding to the aluminum template, randomly acquiring each detection point of each surface corresponding to the aluminum template, further acquiring the chromaticity value of each detection point of each surface corresponding to the aluminum template, and respectively carrying out average value processing on the chromaticity value to obtain the average chromaticity value of each surface corresponding to the aluminum template;
The chromaticity value of each surface corresponding to each distribution point of the sample aluminum template is differenced with the average chromaticity value to obtain the chromaticity deviation value of each surface corresponding to each distribution point of the sample aluminum template, and the chromaticity deviation value is allowed corresponding to the aluminum template stored in the cloud database Comparing, if the chromaticity deviation value of a certain surface of the sample aluminum template corresponding to a certain arrangement point is larger than the allowable chromaticity deviation value, marking the arrangement point as a chromaticity deviation arrangement point, and further obtaining each chromaticity deviation arrangement point corresponding to each surface of the sample aluminum template;
Counting the number of corresponding chromaticity deviation distribution points of each surface to which the sample aluminum template belongs And number of layout points/>Obtaining the chromaticity deviation value/>, corresponding to each chromaticity deviation distribution point, of each surface of the sample aluminum template based on the chromaticity deviation value, corresponding to each distribution point, of each surface of the sample aluminum templateWherein/>The number of the point is distributed for each color deviation,/>，/>Is any integer greater than 2;
Comprehensive analysis of color coincidence degree corresponding to sample aluminum template WhereinThe number of points is set for the chromaticity deviation.
6. The method for detecting surface defects of aluminum templates according to claim 1, wherein the analyzing sample aluminum templates corresponds to scratch risk values, and the specific analyzing method comprises the following steps:
Acquiring images of all surfaces of the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, and carrying out gray processing on the images to obtain gray images of all the surfaces of the sample aluminum template, so as to obtain gray values of all the surfaces of the sample aluminum template;
Comparing each gray value of each surface of the sample aluminum template with the scratch gray value interval of the aluminum template stored in the cloud database, if a certain gray value of a certain surface of the sample aluminum template is within the scratch gray value interval of the aluminum template, marking the gray value as a scratch gray value, screening each scratch gray value corresponding to each surface of the sample aluminum template, obtaining the area of each scratch gray value corresponding to each surface of the sample aluminum template, marking the area as each scratch area of each surface of the sample aluminum template, obtaining the area of each scratch area of each surface of the sample aluminum template, and further counting the total scratch area of each surface of the sample aluminum template Wherein/>Numbering of surfaces,/>，/>Is any integer greater than 2;
Obtaining the surface area of each surface corresponding to the sample aluminum template Further comprehensively analyzing scratch risk value/>, corresponding to sample aluminum template。
7. The method for detecting surface defects of aluminum templates according to claim 1, wherein the analyzing sample aluminum templates correspond to surface defect risk assessment grades, and the specific analyzing method comprises the following steps:
comparing the aperture rationality corresponding to the sample aluminum template with a predefined aperture rationality threshold, and if the aperture rationality corresponding to the sample aluminum template is smaller than the aperture rationality threshold, marking the aperture danger value corresponding to the sample aluminum template as Otherwise, it is recorded as/>And counting the aperture dangerous value/>, corresponding to the sample aluminum templateWherein/>；
Similarly, analyzing to obtain color dangerous value corresponding to sample aluminum template；
Comparing the scratch risk value corresponding to the sample aluminum template with a predefined scratch risk threshold, and if the scratch risk value corresponding to the sample aluminum template is greater than or equal to the scratch risk threshold, marking the scratch risk value corresponding to the sample aluminum template asOtherwise, it is recorded as/>And counting scratch hazard values/>, corresponding to the sample aluminum templatesWherein/>；
Similarly, analyzing to obtain crack danger value corresponding to sample aluminum template；
And accumulating the aperture risk value, the color risk value, the scratch risk value and the crack risk value corresponding to the sample aluminum template to obtain a comprehensive risk value corresponding to the sample aluminum template, and screening the comprehensive risk value corresponding to the surface defect risk assessment grade stored in the cloud database.
8. An aluminum template surface defect detection system, comprising:
The aluminum template preliminary detection module is used for randomly extracting one aluminum template from the aluminum templates in the batch, taking the one aluminum template as a sample aluminum template, and carrying out three-dimensional scanning on the sample aluminum template to construct a three-dimensional model corresponding to the sample aluminum template;
the aluminum template preliminary analysis module is used for analyzing the model coincidence degree corresponding to the sample aluminum template based on the three-dimensional model corresponding to the sample aluminum template, further judging whether to detect the surface defects of the sample aluminum template, executing the third step if the surface defects of the sample aluminum template are detected, otherwise, carrying out abnormal early warning on the model of the sample aluminum template;
the model conformity corresponding to the analysis sample aluminum template is analyzed by the specific analysis method that:
obtaining a standard three-dimensional model corresponding to the aluminum template from the cloud database, and obtaining a standard volume corresponding to the aluminum template And number of round holes/>；
The three-dimensional model of the sample aluminum template is subjected to superposition comparison with the standard three-dimensional model, and the superposition volume of the three-dimensional model of the sample aluminum template and the standard three-dimensional model is obtainedAnd combining a three-dimensional model of the sample aluminum template to obtain the number of round holes/>；
Comprehensively analyzing model conformity corresponding to sample aluminum templateWherein/>、/>The influence weight factors are respectively expressed as predefined volume similar influence weight factors and round hole number similar influence weight factors;
the aluminum template surface defect detection analysis module is used for carrying out x-ray detection on the sample aluminum template so as to obtain detection data corresponding to the sample aluminum template, wherein the detection data comprise the intensity of scattered x-rays in a set detection period of each subarea, and accordingly, an internal bubble risk assessment index corresponding to the sample aluminum template is analyzed, and the aperture rationality, the color coincidence degree, the scratch risk value and the crack risk value corresponding to the sample aluminum template are analyzed by combining a three-dimensional model of the sample aluminum template;
the pore diameter rationality corresponding to the analysis sample aluminum template comprises the following specific analysis methods:
Obtaining diameters of round holes corresponding to surfaces of sample aluminum templates based on three-dimensional models corresponding to the sample aluminum templates Wherein/>Numbering of surfaces,/>，/>Is any integer greater than 2,/>Numbering of round holes,/>，Is any integer greater than 2;
establishing a coordinate system by taking the geometric center point of the sample aluminum template as an origin, and further obtaining the coordinates of the sample aluminum template corresponding to the center point of each round hole of each surface ；
Extracting proper distance between adjacent round holes corresponding to aluminum templates from cloud databaseAnd extracting the standard diameter/>, of the round hole from the cloud databaseThereby analyzing the aperture rationality of each surface corresponding to the sample aluminum templateWherein/>The number of the round holes;
Screening the maximum aperture rationality corresponding to the sample aluminum template based on the aperture rationality corresponding to each surface of the sample aluminum template And minimum pore size rationality/>Further comprehensively analyzing the aperture rationality corresponding to the sample aluminum templateWherein/>For the number of corresponding surfaces of the sample aluminum template,/>Reasonable deviation degree of predefined allowable aperture,/>、/>The duty factor of the average pore diameter rationality and the duty factor of the deviation of the pore diameter rationality are predefined respectively;
And the aluminum template risk display module is used for analyzing and displaying the surface defect risk assessment grade corresponding to the sample aluminum template.
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