CN114047200A - Equipment for automatically identifying and eliminating heterochromatic impurities in particulate matters at high speed - Google Patents
Equipment for automatically identifying and eliminating heterochromatic impurities in particulate matters at high speed Download PDFInfo
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- CN114047200A CN114047200A CN202111405026.0A CN202111405026A CN114047200A CN 114047200 A CN114047200 A CN 114047200A CN 202111405026 A CN202111405026 A CN 202111405026A CN 114047200 A CN114047200 A CN 114047200A
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- 239000012535 impurity Substances 0.000 title claims abstract description 56
- 239000000463 material Substances 0.000 claims abstract description 37
- 230000002950 deficient Effects 0.000 claims abstract description 6
- 239000002245 particle Substances 0.000 claims description 14
- 230000007547 defect Effects 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims description 6
- 238000001514 detection method Methods 0.000 description 11
- 239000013618 particulate matter Substances 0.000 description 10
- 241001268993 Heterochrosis Species 0.000 description 7
- 238000000034 method Methods 0.000 description 4
- 239000008187 granular material Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
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- 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
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/04—Sorting according to size
- B07C5/10—Sorting according to size measured by light-responsive means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
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- 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
- G01N21/84—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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- 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
- G01N21/84—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
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8874—Taking dimensions of defect into account
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- 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
- G01N21/84—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
- G01N2021/8887—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 based on image processing techniques
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Abstract
The invention discloses equipment for automatically identifying and eliminating heterochromatic impurities in particulate matters at high speed, which comprises a hopper, a material conveying device, line scanning cameras, the particulate matters, a light source, a background plate, a heterochromatic impurity eliminating device, a main material box, a defective material box and a central processing unit, wherein an outlet of the hopper is positioned right above the material conveying device, two groups of line scanning cameras are arranged below the material conveying device, the two groups of line scanning cameras are symmetrically arranged, the heterochromatic impurity eliminating device is arranged below the line scanning cameras, the main material box and the defective material box are arranged below the heterochromatic impurity eliminating device, an output end of each line scanning camera is connected with an input end of the central processing unit, and an output end of the central processing unit is connected with an input end of the heterochromatic impurity eliminating device.
Description
Technical Field
The invention relates to equipment, in particular to equipment for automatically identifying and removing heterochromatic impurities in particulate matters at a high speed.
Background
With the increasing requirements of downstream manufacturers on the quality of raw materials, for example, the chemical industry has increasingly strict requirements on the proportion of impurities and pollutants in the raw materials, the index is checked and counted in an early stage in a manual mode, the manual mode detection has the advantages of long time consumption, large deviation of counting the impurities by different people or the same person at different time, the impurities below 200 microns are easy to miss detection, single-side photographing detection of an area-array camera is carried out subsequently, the recognition rate of small impurities below 200 microns is improved, but a single camera is configured on the photographing detection structure of the area-array camera, and the impurities on the back of particles can miss detection. And because the shooting frequency of the area array camera does not exceed 30hz in the current technical bottleneck, the detection speed is slow. Moreover, continuous pictures shot by the area-array camera cannot ensure that the moving measured object is shot without omission or repetition, and the detection accuracy cannot be ensured. The invention shoots freely falling particles by a pair of line scanning cameras, all particles can pass through the line scanning cameras at the same speed under the condition that the initial falling point and the shot point of the particles are not changed, the scanning speed of the line scanning cameras is up to 70MHz, and the high-speed detection without repetition and omission can be realized by calculating the falling speed of the particles and matching the line scanning camera scanning frequency.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide equipment for automatically identifying and removing the heterochromatic impurities in the particulate matters at a high speed.
In order to solve the technical problems, the technical scheme provided by the invention is equipment for automatically identifying and eliminating heterochromatic impurities in particulate matters at a high speed, and the equipment comprises a hopper, a material conveying device, line scanning cameras, the particulate matters, a light source, a background plate, the heterochromatic impurity eliminating device, a main material box, a defective material box and a central processing unit, wherein an outlet of the hopper is positioned right above the material conveying device, two groups of line scanning cameras are arranged below the material conveying device, the two groups of line scanning cameras are symmetrically arranged, the heterochromatic impurity eliminating device is arranged below the line scanning cameras, the main material box and the defective material box are arranged below the heterochromatic impurity eliminating device, an output end of each line scanning camera is connected with an input end of the central processing unit, and an output end of the central processing unit is connected with an input end of the heterochromatic impurity eliminating device.
As an improvement, the hopper is used for storing particulate matters.
As an improvement, the two groups of line scanning cameras are respectively provided with a light source and a background plate.
As the improvement, the main bin is used for storing normal particulate matters, and the flaw bin is used for storing heterochrosis impurity.
As an improvement, the material conveying device is a vibration type conveying device.
As an improvement, heterochrosis impurity removing devices is jet removing devices, heterochrosis impurity removing devices is equipped with and is no less than three air jet, the air jet is same horizontal plane setting, and the air jet direction of giving vent to anger is towards particulate matter whereabouts passageway.
As an improvement, the central processing unit includes an IO module, and the IO module is used for controlling the conveying power of the material conveying device and the brightness of the light source.
Compared with the prior art, the invention has the advantages that: the invention has reasonable structural design, can simultaneously detect the front and the back of the particles by adopting two groups of line scanning cameras which are symmetrically arranged, ensures that the surfaces of the whole particles are detected, avoids omission, and the picture of each particle is unique, so that the picture of the same target can not be repeated, the possibility of repeated counting of the same defect is avoided in principle, the central processing unit analyzes the R, G, B value of each pixel point in the picture and compares the R, G, B value with the R, G, B range in the preset detection method to identify the defect boundary, and calculates and classifies the size, shape and color of the defect, and outputs an instruction to the heterochromatic impurity removing device, according to the method, impurities in the granular materials can be efficiently and accurately detected, and the impurities can be classified and counted according to the size, color and shape information of the impurities.
Drawings
FIG. 1 is a schematic structural diagram of an apparatus for automatically identifying and removing foreign impurities in particulate matters at high speed according to the present invention;
fig. 2 is a schematic diagram of the principle and process of the device for automatically identifying and removing the foreign impurities in the particles at a high speed.
As shown in the figure: 1. hopper, 2, material conveyor, 3, line scanning camera, 4, particulate matter, 5, light source, 6, background board, 7, heterochrosis impurity removing devices, 8, main workbin, 9, flaw workbin.
Detailed Description
The following will explain the device for automatically identifying and removing the foreign impurities in the particulate matters at high speed in detail with reference to the accompanying drawings.
With reference to fig. 1-2, an apparatus for automatically identifying and removing impurities in different colors in particulate matters at high speed comprises a hopper 1, a material conveying device 2, a line scanning camera 3, particulate matters 4, a light source 5, a background plate 6, an impurity removing device 7, a main material box 8, a defect material box 9 and a central processing unit, wherein an outlet of the hopper 1 is located right above the material conveying device 2, two groups of line scanning cameras 3 are arranged below the material conveying device 2, the line scanning cameras 3 are symmetrically arranged, the impurity removing device 7 is arranged below the line scanning cameras 3, the main material box 8 and the defect material box 9 are arranged below the impurity removing device 7, an output end of the line scanning camera 3 is connected with an input end of the central processing unit, and an output end of the central processing unit is connected with an input end of the impurity removing device 7.
As a preferred embodiment of this embodiment, the hopper 1 is used for storing the particulate matter 4.
In the preferred embodiment of the present invention, two sets of the line scanning cameras 3 are respectively provided with a light source 5 and a background plate 6.
As the preferred embodiment of the embodiment, the main bin 8 is used for storing normal particles, and the defect bin 9 is used for storing foreign matters.
As a preferred embodiment of this embodiment, the material conveying device 2 is a vibration type conveying device.
As the preferred embodiment of this embodiment, heterochromatic impurity removing device 7 is jet removing device, heterochromatic impurity removing device 7 is equipped with and is no less than three air jet, the air jet is same horizontal plane setting, and the air jet direction of giving vent to anger is towards granule 4 whereabouts passageway.
As a preferred embodiment of this embodiment, the central processing unit includes an IO module, and the IO module is used for controlling the conveying power of the material conveying device 2 and the brightness of the light source 5.
When the device is used, firstly, the R, G, B range in the detection method is preset in a central processing unit, then the particulate matter 4 is placed in a hopper 1, a material conveying device 2, a line scanning camera 3, the particulate matter 4, a light source 5, a heterochromatic impurity removing device 7 and the central processing unit are started, the particulate matter 4 is detected in the free falling process, the speed is constant when the particulate matter 4 is shot, the shooting is easy to be carried out by the camera, the front and the back of the particulate matter 4 are shot simultaneously by the two groups of line scanning cameras 3, the shot pictures are transmitted to the central processing unit in real time, the central processing unit analyzes the R, G, B value of each pixel point in the pictures and compares the R, G, B value with the R, G, B range in the preset detection method, the defect boundary is identified, and the size, the shape and the color of the defect are calculated and classified, simultaneously to heterochrosis impurity removing devices 7 output instruction, accurately reject according to heterochrosis impurity coordinate, the material that accords with the standard in the particulate matter 4 will fall into main bin 8, heterochrosis impurity in the particulate matter 4 will fall into flaw workbin 9, and this device can be high-efficient, accurate impurity to in the granular material detects to can carry out classification statistics to impurity according to size, colour, the shape information of impurity.
The working principle of the invention is as follows:
the line scanning camera shoots the free falling particles, the line scanning camera only shoots one line of image data at a time, which means that the line scanning camera does not observe the images as a whole but accurately scans line by line, and the seamless shooting mode is suitable for detecting an ultra-long target;
when a line scanning camera transmits images of both positive and negative directions of free fall of particles into a central processing unit, the central processing unit respectively carries out blocking interception on 2 image information streams, Gaussian filtering is carried out to remove the problem of variegated color dispersion caused by the problem of the camera, meanwhile, an RGB channel is transferred to RGB in an HLS selected heterochromatic range through a preset HLS model and a heterochromatic region to manufacture an LUT (Look-Up Table), the normal color block of each pixel or a certain heterochromatic color block is confirmed through a multithreading synchronization mode to be labeled, and the image containing heterochromatic color is cut. And (3) carrying out methods such as contour extraction and K neighbor clustering on the cut-out heterochromatic impurities, summarizing heterochromatic results, giving identification results of the cut-out heterochromatic results according to the priority, wherein the identification results comprise information such as position, type, size, area, acquisition time and the like, and simultaneously controlling a heterochromatic impurity removing device through a central processing unit to remove the heterochromatic impurities according to the information.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. The equipment for automatically identifying and eliminating the heterochromatic impurities in the particulate matters at a high speed is characterized by comprising a hopper (1), a material conveying device (2), line scanning cameras (3), the particulate matters (4), a light source (5), a background plate (6), heterochromatic impurity eliminating devices (7), a main material box (8), a defective material box (9) and a central processing unit, wherein an outlet of the hopper (1) is positioned right above the material conveying device (2), two groups of line scanning cameras (3) are arranged below the material conveying device (2), the two groups of line scanning cameras (3) are symmetrically arranged, the heterochromatic impurity eliminating devices (7) are arranged below the line scanning cameras (3), the main material box (8) and the defective material box (9) are arranged below the heterochromatic impurity eliminating devices (7), the output end of the line scanning cameras (3) is connected with the input end of the central processing unit, the output end of the central processing unit is connected with the input end of the heterochromatic impurity removing device (7).
2. The apparatus for automatically identifying and eliminating the foreign substances in the particles at a high speed according to claim 1, wherein the hopper (1) is used for storing the particles (4).
3. The apparatus for automatically identifying and removing the foreign substances in the particulate matters at a high speed according to claim 1, wherein the two groups of line scanning cameras (3) are respectively provided with a light source (5) and a background plate (6).
4. The apparatus for high-speed automatic identification and removal of foreign substances in particulate matters according to claim 1, wherein the main bin (8) is used for storing normal particulate matters, and the defect bin (9) is used for storing foreign substances.
5. The apparatus for high-speed automatic identification and removal of foreign substances in particulate matters according to claim 1, wherein the material conveying device (2) is a vibrating type conveying device.
6. The equipment for automatically identifying and removing the foreign color impurities in the particulate matters at high speed according to claim 1, wherein the foreign color impurity removing device (7) is an air jet removing device, the foreign color impurity removing device (7) is provided with at least three air jet ports, the air jet ports are arranged on the same horizontal plane, and the air outlet direction of the air jet ports faces a falling channel of the particulate matters (4).
7. The device for automatically identifying and eliminating the foreign color impurities in the particulate matters at a high speed according to claim 1, wherein the central processing unit comprises an IO module, and the IO module is used for controlling the conveying power of the material conveying device (2) and the brightness of the light source (5).
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CN202111405026.0A CN114047200A (en) | 2021-11-24 | 2021-11-24 | Equipment for automatically identifying and eliminating heterochromatic impurities in particulate matters at high speed |
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CN202111405026.0A CN114047200A (en) | 2021-11-24 | 2021-11-24 | Equipment for automatically identifying and eliminating heterochromatic impurities in particulate matters at high speed |
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006231109A (en) * | 2005-02-22 | 2006-09-07 | Seirei Ind Co Ltd | Particulate material color-sorting method and particulate material color-sorting machine provided with line sensor |
CN101279321A (en) * | 2008-05-14 | 2008-10-08 | 许大红 | Granular material optical color sorter |
CN103495563A (en) * | 2013-10-08 | 2014-01-08 | 合肥美亚光电技术股份有限公司 | Equipment and method for sorting materials for plurality of times |
CN104138851A (en) * | 2014-06-25 | 2014-11-12 | 山东大学 | Vibrating feeding and imaging recognition-based large particle material sorting system and method |
CN104841646A (en) * | 2015-04-29 | 2015-08-19 | 南京文采科技有限责任公司 | Time-division exposure and multi-spectral imaging cleaner and cleaning method |
CN106000924A (en) * | 2016-06-20 | 2016-10-12 | 合肥名德光电科技股份有限公司 | Air suction removing type material color sorter |
CN109692822A (en) * | 2019-03-12 | 2019-04-30 | 湖北中武电技术有限公司 | A kind of laser material separation device and method |
CN210434873U (en) * | 2019-09-02 | 2020-05-01 | 哈尔滨博实自动化股份有限公司 | Polycrystalline silicon massive bulk material foreign matter removing device |
CN113458016A (en) * | 2021-08-17 | 2021-10-01 | 江苏大学 | Small-particle agricultural product color sorting device based on area array image characteristics |
-
2021
- 2021-11-24 CN CN202111405026.0A patent/CN114047200A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006231109A (en) * | 2005-02-22 | 2006-09-07 | Seirei Ind Co Ltd | Particulate material color-sorting method and particulate material color-sorting machine provided with line sensor |
CN101279321A (en) * | 2008-05-14 | 2008-10-08 | 许大红 | Granular material optical color sorter |
CN103495563A (en) * | 2013-10-08 | 2014-01-08 | 合肥美亚光电技术股份有限公司 | Equipment and method for sorting materials for plurality of times |
CN104138851A (en) * | 2014-06-25 | 2014-11-12 | 山东大学 | Vibrating feeding and imaging recognition-based large particle material sorting system and method |
CN104841646A (en) * | 2015-04-29 | 2015-08-19 | 南京文采科技有限责任公司 | Time-division exposure and multi-spectral imaging cleaner and cleaning method |
CN106000924A (en) * | 2016-06-20 | 2016-10-12 | 合肥名德光电科技股份有限公司 | Air suction removing type material color sorter |
CN109692822A (en) * | 2019-03-12 | 2019-04-30 | 湖北中武电技术有限公司 | A kind of laser material separation device and method |
CN210434873U (en) * | 2019-09-02 | 2020-05-01 | 哈尔滨博实自动化股份有限公司 | Polycrystalline silicon massive bulk material foreign matter removing device |
CN113458016A (en) * | 2021-08-17 | 2021-10-01 | 江苏大学 | Small-particle agricultural product color sorting device based on area array image characteristics |
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Application publication date: 20220215 |