CN110967314A - White spirit impurity spectrum diffraction visual recognition device and method - Google Patents
White spirit impurity spectrum diffraction visual recognition device and method Download PDFInfo
- Publication number
- CN110967314A CN110967314A CN201911133913.XA CN201911133913A CN110967314A CN 110967314 A CN110967314 A CN 110967314A CN 201911133913 A CN201911133913 A CN 201911133913A CN 110967314 A CN110967314 A CN 110967314A
- Authority
- CN
- China
- Prior art keywords
- white spirit
- image
- laser
- diffraction
- analysis system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/4788—Diffraction
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention relates to a device and a method for spectrum diffraction visual identification of white spirit impurities, belonging to the technical field of white spirit impurity detection; the existing impurity detection method used by domestic white spirit manufacturers is a manual light detection method, the efficiency is low, workers work in a high-brightness and high-noise environment for a long time, the physical health is greatly damaged, the labor cost is increased, the white spirit impurity detection method based on image processing is low in detection cost, but the detection precision is not ideal; the invention provides a device and a method for spectrum diffraction visual recognition of white spirit impurities.
Description
Technical Field
The invention relates to the technical field of liquor impurity detection, in particular to a liquor impurity Guangong diffraction visual identification device and method.
Background
In the white spirit canning process, foreign impurities can be introduced due to incomplete filtration and bottle brushing, unqualified workshop and personnel sanitation and the like, and once the white spirit containing the impurities flows into the market, the white spirit is very easy to cause consumer complaints and even causes health safety problems, so that the online detection of the impurities in the white spirit is very meaningful. At present, the impurity detection method used by domestic white spirit manufacturers is an artificial light detection method, which means that workers check white spirit bottles one by using naked eyes on a light source on a production line. The method has low efficiency, workers work in a high-brightness and high-noise working environment for a long time, the physical health of the workers is greatly damaged, and the labor cost is increased by manufacturers. With the continuous development of computer vision and image processing technology, some white spirit impurity detection methods based on image processing appear. According to the method, a camera is used for acquiring images of bottled liquor on a production line, and the acquired images are processed through a series of image processing technologies, so that the liquor containing impurities is found. The white spirit impurity detection method based on image processing has the characteristics of low detection cost, high detection speed and the like, but the detection precision of the method is not ideal.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a white spirit impurity spectral diffraction visual recognition device and method.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides a white spirit impurity spectrum diffraction visual identification device, is including placing the conveyer belt of the white spirit that awaits measuring, still includes laser emission part, spectrum receiving part and image analysis system, and laser emission part and spectrum receiving part arrange the both sides of conveyer belt direction of transmission respectively in and are located same axis direction, wherein: the laser emitting part comprises a He-Ne laser, a spatial filter and a laser beam expanding telescope, the laser output end of the He-Ne laser vertically faces to the direction of the conveying belt, the spatial filter and the laser beam expanding telescope are arranged between the He-Ne laser and the conveying belt, the spatial filter is close to one side of the He-Ne laser, and the laser beam expanding telescope is close to one side of the conveying belt; the spectrum receiving part comprises a sensitive photosensitive linear array CCD camera, a condenser used for converging and transmitting the laser beam of the white spirit to be measured is arranged between the sensitive photosensitive linear array CCD camera and the conveyor belt, and the sensitive photosensitive linear array CCD camera is connected with the image analysis system.
Further, a diffraction sensor is provided in the image analysis system.
Further, the image analysis system is connected with an alarm system for image abnormity alarm.
Furthermore, the sensitive photosensitive linear array CCD camera is arranged at the focus position of the condenser lens.
A spectrum diffraction visual identification method for impurities in white spirit comprises the following steps:
firstly, white spirit to be measured is placed on a conveyor belt, stray light is eliminated through laser emitted by a He-Ne laser through a spatial filter, and parallel laser beams are formed through a laser beam expanding telescope to irradiate the white spirit to be measured.
And secondly, the parallel laser beams penetrate through the white spirit to be detected to form a spectral image, the spectral image is received by the sensitive linear array CCD camera, the image is transmitted to an image analysis system, the image analysis system is used for processing the image, and a diffraction discrimination algorithm is used for judging whether fraunhofer diffraction halo or fringe field appears in the spectral image.
If Fraunhofer diffraction halo or fringe field appears in the spectral image, it is indicated that the white spirit to be tested contains impurities, and the image analysis system triggers the alarm system to alarm; and if the Fraunhofer diffraction halo or fringe field does not exist in the spectral image, indicating that no impurity is detected in the white spirit to be detected, and continuing to detect.
Further, the conveyer belt is in uniform motion.
Further, the image processing in the second step comprises image difference, image enhancement and noise suppression processing.
In conclusion, the invention has the following beneficial effects:
the invention adopts modulated laser light to penetrate through the wine bottle to be detected, combines the machine image processing technology to complete the detection of white wine impurities according to the diffraction image received by the image receiving device, realizes the single-point measurement of fine objects, has convenient and visual measurement and strong adaptability, can realize the detection of fine wire impurities and particle impurities, does not damage the detected object in the detection process and has high detection efficiency.
Drawings
FIG. 1 is a schematic view of the apparatus of the present invention;
FIG. 2 is a flow chart of the method of the present invention.
In the figure: the system comprises a 1-He-Ne laser, a 2-spatial filter, a 3-laser beam expanding telescope, a 4-conveying belt, a 5-condenser, a 6-sensitive photosensitive linear array CCD camera, a 7-image analysis system and an 8-alarm system.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Example (b): as shown in figure 1, a white spirit impurity spectrum diffraction visual identification device comprises a laser emission part, a spectrum receiving part and an image analysis system 7, wherein the laser emission part and the spectrum receiving part are respectively arranged at two sides of the transmission direction of a conveyor belt 4, and the laser emission part and the spectrum receiving part are arranged in the same axial direction, wherein: the laser emitting part comprises a He-Ne laser 1, a spatial filter 2 and a laser beam expanding telescope 3, wherein the laser output end of the He-Ne laser 1 is vertically towards the direction of the conveying belt 4, the spatial filter 2 and the laser beam expanding telescope 3 are arranged between the He-Ne laser 1 and the conveying belt 4, the spatial filter 2 is close to one side of the He-Ne laser 1, and the laser beam expanding telescope 3 is close to one side of the conveying belt 4; the spectrum receiving part comprises a sensitive photosensitive linear array CCD camera 6, a condenser 5 for converging and transmitting the laser beam of the white spirit to be measured is arranged between the sensitive photosensitive linear array CCD camera 6 and the conveyor belt 4, and the sensitive photosensitive linear array CCD camera 6 is arranged at the focal position of the condenser 5 and has the function of enabling the sensitive photosensitive linear array CCD camera 6 to acquire images to obtain bright and clear effects and facilitating further image analysis; the sensitive photosensitive line CCD camera 6 is connected with an image analysis system 7, a diffraction sensor is arranged in the image analysis system 7, and whether diffraction light rings or fringe fields are output in an image shot by the sensitive photosensitive line CCD camera 6 or not is detected; the image analysis system 7 is connected with an alarm system 8 for image abnormity alarm, and the alarm system 8 is triggered when the image is abnormal, namely a Fraunhofer diffraction halo or fringe field appears in the image.
A spectrum diffraction visual identification method for impurities in white spirit comprises the following steps:
placing white spirit to be measured on a conveyor belt 4, eliminating stray light by laser emitted by a He-Ne laser 1 through a spatial filter 2, and forming parallel laser beams to irradiate the white spirit to be measured through a laser beam expanding telescope 3; the conveyor belt 4 moves at a constant speed in the detection process, so that the received optical spectrum image is prevented from generating diffraction light rings or fringe fields due to the influence of the movement speed of the conveyor belt 4, and the detection accuracy is improved.
Secondly, the parallel laser beams penetrate through the white spirit to be detected to form a spectral image, the spectral image is received by a sensitive linear array CCD camera 6, the image is transmitted to an image analysis system 7, the image analysis system 7 performs image processing, and a diffraction discrimination algorithm is used for judging whether Fraunhofer diffraction halo or fringe field appears in the spectral image; the image processing comprises image difference, image enhancement and noise suppression processing; the image difference is used for weakening the same part between two frames of images so as to enhance the scam of the diffraction light ring; the image enhancement specifically refers to image sharpening, the contour of the acquired image is compensated, and the edge and gray level jump part of the acquired image are enhanced to make the image clear; the noise suppression reduces image interference and reduces the influence of noise on image processing.
Step three, if Fraunhofer diffraction halo or fringe field appears in the spectral image, it is indicated that the white spirit to be tested contains impurities, and the image analysis system 7 triggers the alarm system 8 to alarm; and if the Fraunhofer diffraction halo or fringe field does not exist in the spectral image, indicating that no impurity is detected in the white spirit to be detected, and continuing to detect.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (7)
1. The utility model provides a white spirit impurity spectrum diffraction visual identification device, is including placing conveyer belt (4) of the white spirit that awaits measuring, its characterized in that: still include laser emission part, spectrum receiving element and image analysis system (7), laser emission part and spectrum receiving element are placed respectively in conveyer belt (4) transmission direction's both sides and are located same axis direction, wherein: the laser emitting part comprises a He-Ne laser (1), a spatial filter (2) and a laser beam expanding telescope (3), the laser output end of the He-Ne laser (1) vertically faces to the direction of the conveying belt (4), the spatial filter (2) and the laser beam expanding telescope (3) are arranged between the He-Ne laser (1) and the conveying belt (4), the spatial filter (2) is close to one side of the He-Ne laser (1), and the laser beam expanding telescope (3) is close to one side of the conveying belt (4); the spectrum receiving part comprises a sensitive photosensitive linear array CCD camera (6), a condenser (5) used for converging and transmitting white spirit laser beams to be detected is arranged between the sensitive photosensitive linear array CCD camera (6) and the conveyor belt (4), and the sensitive photosensitive linear array CCD camera (6) is connected with an image analysis system (7).
2. The white spirit impurity spectrum diffraction visual identification device according to claim 1, characterized in that: a diffraction sensor is arranged in the image analysis system (7).
3. The white spirit impurity spectrum diffraction visual identification device according to claim 1, characterized in that: the image analysis system (7) is connected with an alarm system (8) for image abnormity alarm.
4. The white spirit impurity spectrum diffraction visual identification device according to claim 1, characterized in that: the sensitive photosensitive linear array CCD camera (6) is arranged at the focus position of the condenser lens (5).
5. A spectrum diffraction visual identification method for impurities in white spirit is characterized by comprising the following steps: the method comprises the following steps:
placing white spirit to be measured on a conveyor belt (4), eliminating stray light by laser emitted by a He-Ne laser (1) through a spatial filter (2), and forming parallel laser beams to irradiate the white spirit to be measured through a laser beam expanding telescope (3);
secondly, the parallel laser beams penetrate through the white spirit to be detected to form a spectral image, the spectral image is received by a sensitive linear array CCD camera (6), the image is transmitted to an image analysis system (7), the image analysis system (7) processes the image, and a diffraction discrimination algorithm is utilized to judge whether Fraunhofer diffraction halo or fringe field appears in the spectral image;
if Fraunhofer diffraction halo or fringe field appears in the spectral image, it is indicated that the white spirit to be tested contains impurities, and the image analysis system (7) triggers the alarm system (8) to alarm; and if the Fraunhofer diffraction halo or fringe field does not exist in the spectral image, indicating that no impurity is detected in the white spirit to be detected, and continuing to detect.
6. The spirit impurity spectrum diffraction visual identification method according to claim 5, characterized in that: the conveyor belt (4) moves at a constant speed.
7. The spirit impurity spectrum diffraction visual identification method according to claim 5, characterized in that: and the image processing in the second step comprises image difference, image enhancement and noise suppression processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911133913.XA CN110967314A (en) | 2019-11-19 | 2019-11-19 | White spirit impurity spectrum diffraction visual recognition device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911133913.XA CN110967314A (en) | 2019-11-19 | 2019-11-19 | White spirit impurity spectrum diffraction visual recognition device and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110967314A true CN110967314A (en) | 2020-04-07 |
Family
ID=70030833
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911133913.XA Pending CN110967314A (en) | 2019-11-19 | 2019-11-19 | White spirit impurity spectrum diffraction visual recognition device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110967314A (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05126736A (en) * | 1991-11-08 | 1993-05-21 | Hamamatsu Photonics Kk | Foreign material detector |
| JPH05172730A (en) * | 1991-12-25 | 1993-07-09 | Shimadzu Corp | Measurement of particle-size distribution |
| EP0631129A1 (en) * | 1993-06-22 | 1994-12-28 | Österreichisches Forschungszentrum Seibersdorf Ges.m.b.H. | Method and device for inspecting transparent objects |
| JP2001116700A (en) * | 1999-08-11 | 2001-04-27 | Enutekku:Kk | Article inspection method and device using light having different wave lengths |
| CN1397793A (en) * | 2001-07-17 | 2003-02-19 | 株式会社岛津制作所 | Method and device for measuring suspended particle |
| CN101802589A (en) * | 2008-10-21 | 2010-08-11 | 北斗电子工业株式会社 | Method and device for detecting size of particle in liquid |
| CN103293165A (en) * | 2012-02-27 | 2013-09-11 | 刘云龙 | Solid granular foreign matter detection device and method for automatic light examining machine |
| CN103411859A (en) * | 2013-07-30 | 2013-11-27 | 北京航空航天大学 | Centering device and method for forward direction diffraction light intensity distribution measurement |
| CN104597058A (en) * | 2015-01-08 | 2015-05-06 | 中国科学院自动化研究所 | Device and method for automatically detecting foreign matters in white spirit bottle based on vision |
| CN105115986A (en) * | 2015-08-12 | 2015-12-02 | 中南大学 | System and method for detecting visible foreign substances in traditional Chinese medicine oral liquid bottles |
| CN105784722A (en) * | 2016-04-29 | 2016-07-20 | 中南大学 | Method and system of detecting visible foreign matters in medicine liquid bottles on flow line |
| US20190056655A1 (en) * | 2016-02-22 | 2019-02-21 | Paul Scherrer Institut | Method And System For High-Throughput Defect Inspection Using The Contrast In The Reduced Spatial Frequency Domain |
-
2019
- 2019-11-19 CN CN201911133913.XA patent/CN110967314A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05126736A (en) * | 1991-11-08 | 1993-05-21 | Hamamatsu Photonics Kk | Foreign material detector |
| JPH05172730A (en) * | 1991-12-25 | 1993-07-09 | Shimadzu Corp | Measurement of particle-size distribution |
| EP0631129A1 (en) * | 1993-06-22 | 1994-12-28 | Österreichisches Forschungszentrum Seibersdorf Ges.m.b.H. | Method and device for inspecting transparent objects |
| JP2001116700A (en) * | 1999-08-11 | 2001-04-27 | Enutekku:Kk | Article inspection method and device using light having different wave lengths |
| CN1397793A (en) * | 2001-07-17 | 2003-02-19 | 株式会社岛津制作所 | Method and device for measuring suspended particle |
| CN101802589A (en) * | 2008-10-21 | 2010-08-11 | 北斗电子工业株式会社 | Method and device for detecting size of particle in liquid |
| CN103293165A (en) * | 2012-02-27 | 2013-09-11 | 刘云龙 | Solid granular foreign matter detection device and method for automatic light examining machine |
| CN103411859A (en) * | 2013-07-30 | 2013-11-27 | 北京航空航天大学 | Centering device and method for forward direction diffraction light intensity distribution measurement |
| CN104597058A (en) * | 2015-01-08 | 2015-05-06 | 中国科学院自动化研究所 | Device and method for automatically detecting foreign matters in white spirit bottle based on vision |
| CN105115986A (en) * | 2015-08-12 | 2015-12-02 | 中南大学 | System and method for detecting visible foreign substances in traditional Chinese medicine oral liquid bottles |
| US20190056655A1 (en) * | 2016-02-22 | 2019-02-21 | Paul Scherrer Institut | Method And System For High-Throughput Defect Inspection Using The Contrast In The Reduced Spatial Frequency Domain |
| CN105784722A (en) * | 2016-04-29 | 2016-07-20 | 中南大学 | Method and system of detecting visible foreign matters in medicine liquid bottles on flow line |
Non-Patent Citations (3)
| Title |
|---|
| 李保春 等主编: "《大学物理实验 第2版》", 31 August 2016, 中国科学技术大学 * |
| 蓝斓等: "位相光栅衍射图样识别算法研究", 《光学与光电技术》 * |
| 邵志敏等: "基于机器视觉的瓶装白酒杂质检测", 《四川大学学报(自然科学版)》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108332689B (en) | Optical measurement system and method for detecting surface roughness and surface damage | |
| CN104063873B (en) | A kind of Model For The Bush-axle Type Parts surface defect online test method based on compressed sensing | |
| CN101858734B (en) | Method for detecting PET bottleneck quality | |
| CN104198157B (en) | Automatic sorting device with lens detection function | |
| CN102192911A (en) | System and method for detecting quality of metal cap based on machine vision | |
| CN104237252A (en) | Machine-vision-based method and device for intelligently detecting surface micro-defects of product | |
| US20140307941A1 (en) | Analysis of the digital image of the external surface of a tyre and processing of false measurement points | |
| CN102539443A (en) | Bottle body defect automatic detection device based on machine vision and method thereof | |
| CN102608126A (en) | On-line detection method and device for surface defects of high-temperature continuously cast bloom | |
| CN102697176A (en) | Cigarette quality on-line detection device and detection method based on machine vision | |
| CN104777174B (en) | Axial workpiece abrupt change of cross-section portion faces fatigue crack detecting system and method | |
| CA2145718A1 (en) | Optical inspection of container dimensional parameters | |
| CN114280075B (en) | Online visual detection system and detection method for surface defects of pipe parts | |
| CN201707305U (en) | Inspection system for inspecting quality of container caps | |
| AU2011200034A1 (en) | Equipment and method for analyzing image data | |
| KR102238388B1 (en) | Transparent plate surface inspection device, transparent plate surface inspection method, and glass plate manufacturing method | |
| CN108596909A (en) | Hollow cylinder Surface Flaw Detection system and method | |
| CN112858332A (en) | Synchronizer gear hub surface defect detection method, system and terminal based on machine vision | |
| Labudzki et al. | The essence and applications of machine vision | |
| CN101169826A (en) | Row roller forming welding tube quality on-line monitoring and controlling system based on machine vision | |
| CN202548069U (en) | On-line detection device for surface defects of high temperature continuous casting billet | |
| CN201141839Y (en) | Device for detecting tiny bearing surface defect by computer vision technology | |
| CN105301003A (en) | Method for detecting bottle cap surface production date based on machine vision | |
| Zhou et al. | Laser spot center detection based on improved circled fitting algorithm | |
| CN104776799B (en) | Detection device and method before the cosmetic welding of shadow feature are built using lateral light |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200407 |