CN117250209B - Automatic optical screening image processing system and method for pipeline connecting ring - Google Patents
Automatic optical screening image processing system and method for pipeline connecting ring Download PDFInfo
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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Abstract
The invention discloses an automatic optical screening image processing system and method for a pipeline connecting ring, which belong to the technical field of industrial vision, wherein the system firstly carries out analysis processing on image information of a product sequentially through corresponding visual analysis algorithms according to the occurrence frequency of defects, so that when the product is in a defect state, the product can be found as soon as possible, the waste of calculation force is avoided, in addition, when one defect is generated, if the corresponding defect can be solved or the use is not influenced by a correction method and the like, the use sequence of the subsequent visual analysis algorithms is adjusted according to the relation existing among the defects, and other defects are continuously found until the defect inspection or the first-level defect is found.
Description
Technical Field
The invention belongs to the technical field of industrial vision, and particularly relates to an automatic optical screening image processing system for a pipeline connecting ring.
Background
The pipeline connecting ring is a part used in the fireless pipeline connecting process, compared with the traditional fire welding, the connecting effect can be improved, the problem that impurities commonly occurring in the fire welding process enter a pipeline or the local welding effect is poor is solved, the welding professional requirements of pipeline connecting staff are reduced, the efficiency is obviously improved, and the pipeline connecting method is an emerging pipeline connecting mode.
The method has the advantages that the requirements on the precision of the pipeline connecting ring are high, the production quantity of the pipeline connecting ring is large, the size is small, the inspection cost can be greatly improved through manual defect inspection, the inspection accuracy cannot be guaranteed, and the automatic screening is also a common method by introducing visual analysis.
Disclosure of Invention
The invention aims to provide an automatic optical screening image processing system and method for pipeline connecting rings, which solve the problem that in the prior art, all defects are subjected to coverage type inspection, and calculation resources are wasted when the corresponding pipeline connecting rings are determined to be defective products.
The aim of the invention can be achieved by the following technical scheme:
an automated optical screening image processing system for a pipe connection ring, comprising:
the transmission unit is used for transmitting the pipeline connecting ring to be subjected to optical screening to the working range of the optical information acquisition unit;
the optical information acquisition unit is used for acquiring image information of the pipeline connecting ring to be subjected to optical screening;
the analysis unit is used for carrying out visual analysis on the image information input by the optical information acquisition unit, and different visual analysis algorithms are corresponding to different defects;
a temporary storage unit for temporarily storing image information of the defective product;
when the analysis unit analyzes and processes the image information acquired by the optical information acquisition unit:
s51, sequentially adopting a visual analysis algorithm corresponding to the corresponding defects according to the order of the checking coefficient G from large to small to process the image information until the defects of the products corresponding to the image information are found, marking the products as defective products, and marking the defects as marking defects of the defective products;
s52, judging whether the marked defect is a first-level defect, if so, considering the defective product as a defective product, and transmitting the image information corresponding to all marked defective products to a temporary storage unit without further checking other defects of the defective product;
s53, if not, acquiring an average relation coefficient bpp between the mark defect and other defects when the mark defect is taken as a core defect, and sequentially checking the other defects according to the order of the average relation coefficient bpp from large to small;
s54, if other defects are checked again for the corresponding product, returning to S52 until the checking of all defects of the corresponding product is completed;
the first-level defect is a defect which can influence the use effect of the pipeline connecting ring; the secondary defect is a defect which can affect the use effect of the pipeline connecting ring, but can be repaired by further correction treatment; the three-level defect is a defect which only affects the appearance of the pipeline connecting ring and does not affect the using effect of the pipeline connecting ring.
As a further aspect of the present invention, the method for calculating the verification coefficient G includes:
the method comprises the steps that firstly, image information of each pipeline connecting ring is collected through an optical information collecting unit, and the collected image information is transmitted to an analyzing unit;
secondly, analyzing the image information of each pipeline connecting ring through an analysis unit to obtain defects corresponding to bad products;
acquiring defects in defective products occurring in one period;
counting the total times u of occurrence of each defect in the past m periods, and simultaneously counting the average time tc of the output analysis result of the corresponding visual analysis algorithm of each defect;
calculating according to a formula g=γ×u- α×tc to obtain a verification coefficient G corresponding to each defect in the past m periods;
the alpha and the gamma are preset coefficients, the alpha is set according to different defects, the alpha value corresponding to the first-level defect is smaller than the alpha value corresponding to the second-level defect, and the alpha value corresponding to the second-level defect is smaller than the alpha value corresponding to the third-level defect.
As a further scheme of the present invention, the calculation method of the average link coefficient bpp is as follows:
marking the pipeline connecting rings with the same defects in one period as the same defect queue, so as to obtain n defect queues, wherein n is the number of defect types;
for a defect queue, marking the corresponding defect as a core defect, obtaining the defect corresponding to each pipeline connecting ring, and sequentially marking the number of the pipeline connecting rings with the defects except the core defect in the defect queue as q1, q2, … and qk, wherein k+1 is the number of the defects;
calculating according to a formula b=qr/R to obtain a relation coefficient b of each defect and a corresponding core defect in a corresponding period;
wherein R is more than or equal to 1 and less than or equal to k, R is the number of pipeline connection rings with core defects in corresponding periods of corresponding defect queues;
marking one defect as a target defect, and acquiring m connection coefficients b of the target defect corresponding to one core defect in the past m periods;
and calculating an average relation coefficient bpp between the target defect and the corresponding core defect according to m relation coefficients b corresponding to the target defect.
As a further scheme of the invention, the method for calculating the average relation coefficient bpp between the target defect and the corresponding core defect according to m relation coefficients b corresponding to the target defect comprises the following steps: marking m association coefficients b of a target defect corresponding to a core defect as b1, b2, … and bm in sequence in the past m periods;
according to the formulaCalculating to obtain standard deviation A of the group of data from b1 to bm, and taking the corresponding bp as an average connection coefficient bpp between the target defect and the corresponding core defect in the past m periods when A is less than or equal to A1;
when A is more than A1, deleting the corresponding bj values in sequence from large to small according to the sequence of the bj-bp until A is less than or equal to A1, counting the number g of the deleted bj values, calculating an average value bp1 of the remaining bj values which are not deleted at the moment, and taking bp1 plus sigma bp1 g/m as an average contact coefficient bpp between the target defect and the corresponding core defect; wherein A1 is a preset value, bp= (b1+b2+, …, +bm)/m, and j is more than or equal to 1 and less than or equal to m; sigma is a preset coefficient.
As a further aspect of the invention, one cycle is the time taken to produce a preset number of pipe connection rings.
The invention has the beneficial effects that:
1. according to the invention, the defects of the product are checked in sequence, specifically, firstly, the analysis processing of the image information of the product is sequentially carried out through the corresponding visual analysis algorithm according to the occurrence frequency of the defects, so that when the product is in a defect state, the product can be found as soon as possible, the waste of calculation force is avoided, in addition, when one defect is generated, if the corresponding defect can be solved by correction and other methods or the use is not influenced, the use sequence of the subsequent visual analysis algorithm is adjusted according to the existence relation among the defects, and the other defects are continuously found until the defect inspection or the first-stage defect finding is completed.
2. According to the invention, the image information corresponding to the pipeline connecting ring determined as the bad product is packaged and temporarily stored, and when the computing power resource is sufficient, the bad product is subjected to subsequent analysis processing, so that the smoothness of automatic optical screening of the product can be improved, and the negative influence on the automatic optical screening work is reduced.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a frame structure of an automated optical screening image processing system for a pipe coupling ring according to 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.
An automated optical screening image processing system for a pipe connection ring, comprising:
the transmission unit is used for transmitting the pipeline connecting ring to be subjected to optical screening to the working range of the optical information acquisition unit, so that a continuous optical screening process is realized;
an optical information acquisition unit for acquiring image information of the pipe connecting ring to be optically screened,
the analysis unit is used for carrying out visual analysis on the image information input by the optical information acquisition unit, and particularly, different visual analysis algorithms are corresponding to different defects when the visual analysis is carried out on the image information;
the defects comprise burrs, deformation, scratches, crush injuries, deletions, chromatic aberration and the like;
a temporary storage unit for temporarily storing image information of the defective product;
the automatic optical screening image processing method based on the automatic optical screening image processing system of the pipeline connecting ring comprises the following steps:
the method comprises the steps that firstly, after pipeline connecting rings are sequentially conveyed into the working range of an optical information acquisition unit through a transmission unit, image information of each pipeline connecting ring is acquired through the optical information acquisition unit, and the acquired image information is transmitted to an analysis unit;
secondly, analyzing the image information of each pipeline connecting ring through an analysis unit to obtain defects corresponding to bad products;
acquiring defects in defective products occurring in one period;
one cycle is the time taken to produce a preset number of pipe connection rings;
counting the total times u of occurrence of each defect in the past m periods, and simultaneously counting the average time tc of the output analysis result of the corresponding visual analysis algorithm of each defect;
calculating according to a formula g=γ×u- α×tc to obtain a verification coefficient G corresponding to each defect in the past m periods;
the alpha and the gamma are preset coefficients, the alpha is set according to different defects, the alpha value corresponding to the first-level defect is smaller than the alpha value corresponding to the second-level defect, and the alpha value corresponding to the second-level defect is smaller than the alpha value corresponding to the third-level defect;
the first-level defects are defects which can influence the use effect of the pipeline connecting ring, such as deformation, crush injury, deletion and the like;
the secondary defects are defects which affect the use effect of the pipeline connecting ring, but can be repaired by further correction treatment, such as burrs and the like;
the three-level defects are defects which only affect the appearance of the pipeline connecting ring and cannot affect the using effect of the pipeline connecting ring, such as scratches, chromatic aberration and the like;
thirdly, marking the pipeline connecting rings with the same defects in one period as the same defect queue, so as to obtain n defect queues, wherein n is the number of defect types;
for a defect queue, marking the corresponding defect as a core defect, obtaining the defect corresponding to each pipeline connecting ring, and sequentially marking the number of the pipeline connecting rings with the defects except the core defect in the defect queue as q1, q2, … and qk, wherein k+1 is the number of the defects;
calculating according to a formula b=qr/R to obtain a relation coefficient b of each defect and a corresponding core defect in a corresponding period;
wherein R is more than or equal to 1 and less than or equal to k, R is the number of pipeline connection rings with core defects in corresponding periods of corresponding defect queues;
step four, sequentially obtaining the relation coefficient b of each defect corresponding to each core defect in m continuous periods according to the method in the step two;
marking one defect as a target defect, acquiring m connection coefficients b corresponding to one core defect in the past m periods, and marking the m connection coefficients b as b1, b2, … and bm in sequence;
according to the formulaCalculating to obtain standard deviation A of the group of data from b1 to bm, and taking the corresponding bp as an average connection coefficient bpp between the target defect and the corresponding core defect in the past m periods when A is less than or equal to A1;
when A is more than A1, deleting the corresponding bj values in sequence from large to small according to the sequence of the bj-bp until A is less than or equal to A1, counting the number g of the deleted bj values, calculating an average value bp1 of the remaining bj values which are not deleted at the moment, and taking bp1 plus sigma bp1 g/m as an average contact coefficient bpp between the target defect and the corresponding core defect;
wherein A1 is a preset value, bp= (b1+b2+, …, +bm)/m, and j is more than or equal to 1 and less than or equal to m;
sigma is a preset coefficient;
fifth, when the analysis unit analyzes and processes the image information collected by the optical information collection unit:
s51, sequentially adopting a visual analysis algorithm corresponding to the corresponding defects according to the order of the checking coefficient G from large to small to process the image information until the defects of the products corresponding to the image information are found, marking the products as defective products, and marking the defects as marking defects of the defective products;
s52, judging whether the marked defect is a first-level defect, if so, considering the defective product as a defective product, and transmitting the image information corresponding to all marked defective products to a temporary storage unit without further checking other defects of the defective product;
s53, if not, acquiring an average relation coefficient bpp between the mark defect and other defects when the mark defect is taken as a core defect, and sequentially checking the other defects according to the order of the average relation coefficient bpp from large to small;
s54, if other defects are checked again for the corresponding product, returning to S52 until the checking of all defects of the corresponding product is completed;
the invention checks each defect of the product according to the sequence, specifically, firstly, the analysis processing of the image information of the product is sequentially carried out through the corresponding visual analysis algorithm according to the occurrence frequency of each defect, so that when the product is in a defect, the defect can be found as soon as possible, the waste of calculation force is avoided, in addition, when one defect occurs, if the corresponding defect can be solved by correction and other methods or does not affect the use, the use sequence of the subsequent visual analysis algorithm is adjusted according to the relation existing among the defects, and other defects are found, and the method can find out as fast as possible when the first-stage defect exists in the pipeline connecting piece, and the waste of calculation force resources is reduced.
And sixthly, for the image information of the bad products stored in the temporary storage unit, when the analysis unit reduces the analysis processing force requirement of the pipeline connecting ring produced in the production line, such as the reduction of production efficiency or the suspension of the production line, the analysis unit analyzes the image information in the temporary storage unit to acquire all defects contained in each bad product.
According to the invention, the image information corresponding to the pipeline connecting ring determined as the bad product is packaged and temporarily stored, and when the computing power resource is sufficient, the bad product is subjected to subsequent analysis processing, so that the smoothness of automatic optical screening of the product can be improved, and the negative influence on the automatic optical screening work is reduced.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
Claims (5)
1. An automated optical screening image processing system for a conduit-coupling, comprising:
the transmission unit is used for transmitting the pipeline connecting ring to be subjected to optical screening to the working range of the optical information acquisition unit;
the optical information acquisition unit is used for acquiring image information of the pipeline connecting ring to be subjected to optical screening;
the analysis unit is used for carrying out visual analysis on the image information input by the optical information acquisition unit, and different visual analysis algorithms are corresponding to different defects;
a temporary storage unit for temporarily storing image information of the defective product;
when the analysis unit analyzes and processes the image information acquired by the optical information acquisition unit:
s51, processing the image information by adopting a visual analysis algorithm corresponding to the corresponding defect until the defect of a product corresponding to the image information is found, marking the product as a defective product, and marking the defect as a marking defect of the defective product;
s52, judging whether the marked defect is a first-level defect, if so, considering the defective product as a defective product, and transmitting the image information corresponding to all marked defective products to a temporary storage unit without further checking other defects of the defective product;
the first-level defect is a defect which can influence the use effect of the pipeline connecting ring;
s53, if not, checking other defects;
s54, if other defects are checked again for the corresponding product, returning to S52 until the checking of all defects of the corresponding product is completed;
in step S51, the visual analysis algorithm corresponding to the corresponding defects is sequentially adopted to process the image information according to the order of the checking coefficient G from large to small, and the calculating method of the checking coefficient G includes:
the method comprises the steps that firstly, image information of each pipeline connecting ring is collected through an optical information collecting unit, and the collected image information is transmitted to an analyzing unit;
secondly, analyzing the image information of each pipeline connecting ring through an analysis unit to obtain defects corresponding to bad products;
acquiring defects in defective products occurring in one period;
counting the total times u of occurrence of each defect in the past m periods, and simultaneously counting the average time tc of the output analysis result of the corresponding visual analysis algorithm of each defect;
calculating according to a formula g=γ×u- α×tc to obtain a verification coefficient G corresponding to each defect in the past m periods;
the alpha and the gamma are preset coefficients, the alpha is set according to different defects, the alpha value corresponding to the first-level defect is smaller than the alpha value corresponding to the second-level defect, and the alpha value corresponding to the second-level defect is smaller than the alpha value corresponding to the third-level defect;
the secondary defect is a defect which can affect the use effect of the pipeline connecting ring, but can be repaired by further correction treatment; the three-level defect is a defect which only affects the appearance of the pipeline connecting ring and does not affect the using effect of the pipeline connecting ring.
2. The automatic optical screening image processing system for pipeline connecting ring according to claim 1, wherein when other defects are inspected in step S53, first, an average connection coefficient bpp between the marked defect and each other defect is obtained when the marked defect is used as a core defect, and the other defects are inspected sequentially according to the order of the average connection coefficient bpp from large to small, and the calculation method of the average connection coefficient bpp is as follows:
marking the pipeline connecting rings with the same defects in one period as the same defect queue, so as to obtain n defect queues, wherein n is the number of defect types;
for a defect queue, marking the corresponding defect as a core defect, obtaining the defect corresponding to each pipeline connecting ring, and sequentially marking the number of the pipeline connecting rings with the defects except the core defect in the defect queue as q1, q2, … and qk, wherein k+1 is the number of the defects;
calculating according to a formula b=qr/R to obtain a relation coefficient b of each defect and a corresponding core defect in a corresponding period;
wherein R is more than or equal to 1 and less than or equal to k, R is the number of pipeline connection rings with core defects in corresponding periods of corresponding defect queues;
marking one defect as a target defect, and acquiring m connection coefficients b of the target defect corresponding to one core defect in the past m periods;
and calculating an average relation coefficient bpp between the target defect and the corresponding core defect according to m relation coefficients b corresponding to the target defect.
3. The automatic optical screening image processing system for pipeline connection ring according to claim 2, wherein the method for calculating the average connection coefficient bpp between the target defect and the corresponding core defect according to the m connection coefficients b corresponding to the target defect comprises the following steps: marking m association coefficients b of a target defect corresponding to a core defect as b1, b2, … and bm in sequence in the past m periods;
according to the formulaCalculating to obtain standard deviation A of the group of data from b1 to bm, and taking the corresponding bp as an average connection coefficient bpp between the target defect and the corresponding core defect in the past m periods when A is less than or equal to A1;
when A is more than A1, deleting the corresponding bj values in sequence from large to small according to the sequence of the bj-bp until A is less than or equal to A1, counting the number g of the deleted bj values, calculating an average value bp1 of the remaining bj values which are not deleted at the moment, and taking bp1 plus sigma bp1 g/m as an average contact coefficient bpp between the target defect and the corresponding core defect; wherein A1 is a preset value, bp= (b1+b2+, …, +bm)/m, and j is more than or equal to 1 and less than or equal to m; sigma is a preset coefficient.
4. The automated optical screening image processing system of claim 1, wherein one cycle is the time it takes to produce a predetermined number of conduit-coupling rings.
5. An automatic optical screening image processing method for a pipeline connecting ring, which is characterized in that the processing method carries out automatic optical screening on the pipeline connecting ring through the processing system of any one of claims 1 to 4.
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