CN103278509A - Foam-appearance-based on-line beer detection method - Google Patents
Foam-appearance-based on-line beer detection method Download PDFInfo
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- CN103278509A CN103278509A CN2013102028670A CN201310202867A CN103278509A CN 103278509 A CN103278509 A CN 103278509A CN 2013102028670 A CN2013102028670 A CN 2013102028670A CN 201310202867 A CN201310202867 A CN 201310202867A CN 103278509 A CN103278509 A CN 103278509A
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- 235000013405 beer Nutrition 0.000 title claims abstract description 58
- 238000001514 detection method Methods 0.000 title abstract description 25
- 239000006260 foam Substances 0.000 claims abstract description 79
- 210000003141 lower extremity Anatomy 0.000 claims description 14
- 238000001914 filtration Methods 0.000 claims description 8
- 238000003672 processing method Methods 0.000 claims description 8
- 238000010998 test method Methods 0.000 claims description 8
- 238000005498 polishing Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 abstract description 8
- 238000004519 manufacturing process Methods 0.000 description 10
- 239000013543 active substance Substances 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000003384 imaging method Methods 0.000 description 6
- 230000015572 biosynthetic process Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 208000037656 Respiratory Sounds Diseases 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000001179 sorption measurement Methods 0.000 description 2
- 230000001954 sterilising effect Effects 0.000 description 2
- 238000004659 sterilization and disinfection Methods 0.000 description 2
- 239000004094 surface-active agent Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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Abstract
The invention discloses a foam-appearance-based on-line beer detection method. At a first detection station, a backlight source is adopted for detecting, and an image of the neck region of a beer bottle is captured by a camera, so that the height and the shape of foam can be detected; and at a second detection station, the top and the side face of the beer bottle is lighted, and an image is captured by a camera which has the same direction as a light source at the side face, so that the size, the fineness and the smoothness of the foam can be detected. After the method is used, according to the detection on the appearance of the foam at the neck of the beer bottle, the quality of beer can be analyzed, and the method is high in detection efficiency.
Description
Technical field
The invention belongs to the online measuring technique field on the automatic production line, especially relate to a kind of beer online test method based on the foam outward appearance.
Background technology
In recent years, perfect along with the raising of the level of consumption and relevant law, rules, in beer industry, it is more and more important that product quality becomes.Owing to reasons such as production technology and encapsulation technologies, the situations such as foreign matter, capping are not tight, bottle breakage that may have in the bottled beer after the can occur, these problems have had a strong impact on product quality and reputation, so the detection link is a pith in the production run, it is the key link of control product quality.At present, the online test method of beer is almost all by the artificial visually examine, automatic assembly line back in some breweries, often can see that numerous detection workmans is carrying out this procedure of manual detection, when increasing huge cost of labor and handling cost to factory, labor strength is big, working environment is relatively poor, production efficiency still can not get guaranteeing with the detection accuracy rate, not only waste the great amount of manpower resource, and loss is very high, verification and measurement ratio is low, detection speed is slow, gathers defectives such as difficulty and detection cost height.
Appearance characteristics such as the thickness of beer foam, Size Distribution, fine and smooth degree are important indicators of reflection beer quality, and it has foamability, the characteristics of stability and extension cup property.Wherein, the formation of foam comprises two-phase foam and heterogeneous foam, has only solution could form tangible foam, and according to Gibbs adsorption equation, the solute in the solution (surfactant) is adsorbed on the gas-liquid interface.The bubble that beer forms forms a certain amount of active substance on the beer surface, and these active substances are piled up and just formed the beer bubble.Bubble is more little, and the active substance of formation is just more many, and the binding ability of these active substances is just more strong.In the prior art at present, also do not detect by the foam outward appearance to beer, judge the method for beer quality.
Summary of the invention
The objective of the invention is: provide a kind of by the beer quality quality being analyzed in the detection of beer bottleneck foam outward appearance, the beer online test method based on the foam outward appearance that detection efficiency is high.
Technical scheme of the present invention is: comprise that two are detected station, first detects station and adopts backlight to detect, light source I, camera I and beer bottle are point-blank, the neck area that the camera I is taken beer bottle carries out image acquisition, and carry out image and handle, detect the height of foam and the body of foam; Second is detected station from top and the side polishing of beer bottle, by carrying out image acquisition with the equidirectional camera II of side light source, and carries out image and handles, and detects size and the fine and smooth degree of foam; First image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, extract the last lower limb of foam cluster, last lower limb is carried out fitting a straight line respectively, obtain representing two line segments of lower limb, calculate the mean distance of two line segments, and compare judgement with setting value; Second image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, according to lower limb on the foam, obtain foam regions, foam regions is carried out binaryzation, and carry out statistical study, obtain statistic histogram, judge according to histogrammic crest and slope.
Further, described second image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, according to lower limb on the foam, obtain foam regions, and foam regions carried out binaryzation, the moving window that adopts a m*n in foam regions from left to right, each mobile a pixel from top to bottom, calculate the number percent b% of the shared window total area of black picture element in the moving window at every turn, all percent value are carried out statistical study, obtain statistic histogram, judge according to histogrammic crest and slope.
The invention has the beneficial effects as follows: the present invention judges quality of beer by the interior neck part foam outward appearance of beer bottle after detecting can, judge that by two testing results that detect station whether qualified beer quality is, what first detected the station employing is that backlight detects, light source, camera and beer bottle are point-blank, camera is taken the neck area of beer bottle, detect the height of foam and the body of foam, second is detected station is top and side polishing from beer bottle, by carrying out image acquisition with the equidirectional camera of side light source, and carry out image and handle, detect size and the fine and smooth degree of foam.Online test method of the present invention belongs to automatic detection, has avoided a series of problems such as manual detection labour intensity is big, speed is slow, precision is low.The present invention is that the summary basis of practical experience on production line puts forward, detection method is simple and reliable, practicality and highly versatile, be applicable to the online detection of noncontact of beer automatic production line, on high-speed automated production line, can detect the quality of beer quality after the can by the outward appearance that detects foam, improve detection speed and detected quality, for the detection of beer industry provides a kind of new detection method.
Description of drawings
Fig. 1 is for first detects the imaging synoptic diagram (underproof foam ring) of station among the present invention;
Fig. 2 is for first detects the imaging synoptic diagram (qualified foam ring) of station among the present invention;
Fig. 3 is second imaging synoptic diagram (underproof foam ring) that detects station among the present invention;
Fig. 4 is second imaging synoptic diagram (qualified foam ring) that detects station among the present invention.
Embodiment
The foam of beer is an important index of beer quality, it has foamability, stability and hangs the characteristics of cup property, wherein, the formation of foam comprises two-phase foam and heterogeneous foam, have only solution could form tangible foam, according to Gibbs adsorption equation, the solute in the solution (surfactant) is adsorbed on the gas-liquid interface.The bubble that beer forms forms a certain amount of active substance on the beer surface, and these active substances are piled up and just formed the beer bubble.Bubble is more little, and the active substance of formation is just more many, and the binding ability of these active substances is just more strong.In order to realize online automatic detection on the production line, the present invention a large amount of breweries are investigated and data statistic analysis after, the conclusion that draws is: the foam of beer is an important index of beer quality, by the bottled bottled beer through pasteurize machine back in the production run is carried out online foam analysis, can judge whether beer meets product requirement, whether beer filling leaks, and whether beer inside contains impurity etc. product information.The present invention is according to the principle of foam, adopt automatic technology, by big or small degree and the fine and smooth degree to the foam outward appearance, adopt two stations to detect, first detects station is that backlight detects, and second is detected station is from top and side polishing, illuminates bottle, carry out the collection of image, it is detected.
The present invention is based on the beer online test method of foam outward appearance, and its method is as described below:
(1) on the beer filling production line, after bottle of liquor advanced the pasteurize machine, in the process that the beer that just goes out sterilization machine is transmitting, by with the contacting of conveying device, bottleneck can occur size evenly, the foam ring of proper height, and have the foam ring of the bottle interior of foreign matter can be because the surface tension of particle is low in the beer, bubble can continue formation and development, form some fine and smooth foams, and the increase of the height of foam ring, also have little foam to rise from the bottle middle part simultaneously.(beer all will enter the pasteurize machine and carry out sterilization processing after producing).
(2) carry out the processing of image acquisition and image respectively at first detection station and second detection station.
From the imaging synoptic diagram that first detects station illustrated in figures 1 and 2 as can be seen, first detects station and adopts backlight to detect, light source I 3, camera I 2 and beer bottle 1 are point-blank, the neck area that camera I 2 is taken beer bottle carries out image acquisition, and carry out image and handle, detect the height of foam and the body of foam.First image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, extract the last lower limb of foam cluster, and last lower limb carried out fitting a straight line respectively, obtain representing two line segments of lower limb, calculate the mean distance of two line segments, i.e. foam height G.If foam height G is higher than setting value K, think that then this bottled beer has situations such as the tight or bottle crackle gas leakage of foreign matter, capping.Fig. 1 is underproof foam ring, and Fig. 2 is qualified foam ring.
From Fig. 3 and second imaging synoptic diagram that detects station shown in Figure 4 as can be seen, second is detected station from top and the side polishing of beer bottle 1, be top light source 6 and side light source 5, by carrying out image acquisition with side light source 5 equidirectional camera II 4, and carry out image and handle, detect size and the fine and smooth degree of foam.Second image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, and according to lower limb on the foam, obtain foam regions, and foam regions carried out binaryzation, the moving window that adopts a m*n in foam regions from left to right, each mobile a pixel from top to bottom, calculate the number percent b% of the shared window total area of black picture element in the moving window at every turn, at last all percent value are carried out statistical study, obtain statistic histogram, obtain the experience criterion according to histogrammic crest and slope.Be underproof foam ring from Fig. 3, Fig. 4 is qualified foam ring.
If the tight or bottle crackle gas leakage of foreign matter, capping etc. is arranged in the bottle, in passing through the conveying device transmission course, by being in contact with one another or contacting with the chain road between bottle, the density of its foam can raise, the size of foam and fine and smooth degree also change, bubble will constantly become greatly, and the gathering of a large amount of minute bubbles occur in the foam bottom, and the foam size is inhomogeneous.Therefore detect on the station by above two and differentiate, method is reliable, and loss is low, the detection efficiency height.
Claims (2)
1. beer online test method based on the foam outward appearance, comprise that two are detected station, it is characterized in that: first detects station and adopts backlight to detect, light source I, camera I and beer bottle are point-blank, the neck area that the camera I is taken beer bottle carries out image acquisition, and carry out image and handle, detect the height of foam and the body of foam; Second is detected station from top and the side polishing of beer bottle, by carrying out image acquisition with the equidirectional camera II of side light source, and carries out image and handles, and detects size and the fine and smooth degree of foam; The described image processing method that first detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, extract the last lower limb of foam cluster, last lower limb is carried out fitting a straight line respectively, obtain representing two line segments of lower limb, calculate the mean distance of two line segments, and compare judgement with setting value; Described second image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, according to lower limb on the foam, obtain foam regions, foam regions is carried out binaryzation, and carry out statistical study, obtain statistic histogram, judge according to histogrammic crest and slope.
2. the beer online test method based on the foam outward appearance according to claim 1, it is characterized in that: described second image processing method that detects in the station is, after image carried out the auto adapted filtering pre-service, surveyed area is located, according to lower limb on the foam, obtain foam regions, and foam regions carried out binaryzation, the moving window that adopts a m*n in foam regions from left to right, each mobile a pixel from top to bottom, calculate the number percent b% of the shared window total area of black picture element in the moving window at every turn, all percent value are carried out statistical study, obtain statistic histogram, judge according to histogrammic crest and slope.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107238622A (en) * | 2017-05-26 | 2017-10-10 | 重庆红蜻蜓油脂有限责任公司 | A kind of edible oil quality method of testing, test container and detecting system |
| CN107796815A (en) * | 2017-10-23 | 2018-03-13 | 青岛啤酒股份有限公司 | A kind of evaluation method of beer foam exquisiteness degree |
| CN109642195A (en) * | 2016-08-31 | 2019-04-16 | 通用电气健康护理生物科学股份公司 | The detection of foam levels |
| CN109626302A (en) * | 2018-12-29 | 2019-04-16 | 苏州西斯派克检测科技有限公司 | A kind of online test method of beer foreign matter in bottles |
| CN116158663A (en) * | 2022-12-29 | 2023-05-26 | 安徽原野星电器科技有限公司 | Milk source state self-adaptive type milk foam machine control system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109642195A (en) * | 2016-08-31 | 2019-04-16 | 通用电气健康护理生物科学股份公司 | The detection of foam levels |
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| CN109626302A (en) * | 2018-12-29 | 2019-04-16 | 苏州西斯派克检测科技有限公司 | A kind of online test method of beer foreign matter in bottles |
| CN116158663A (en) * | 2022-12-29 | 2023-05-26 | 安徽原野星电器科技有限公司 | Milk source state self-adaptive type milk foam machine control system |
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