CN201150919Y - Granular material sorting and grading device based on visual identification - Google Patents
Granular material sorting and grading device based on visual identification Download PDFInfo
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- CN201150919Y CN201150919Y CNU2008200736725U CN200820073672U CN201150919Y CN 201150919 Y CN201150919 Y CN 201150919Y CN U2008200736725 U CNU2008200736725 U CN U2008200736725U CN 200820073672 U CN200820073672 U CN 200820073672U CN 201150919 Y CN201150919 Y CN 201150919Y
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Abstract
The utility model discloses a granular material separating and grading device, which is based on visual identity. The device comprises a mechanical installation carrying platform, a colored touch screen and an imbedded visual processing control platform, wherein a material storage box, a material feeding and thinning system, an optical imaging system and a rejecting system are installed in the mechanical installation carrying platform. The imbedded visual processing control platform is composed of an image collecting and preprocessing system, a vision control system and a characteristic information expert knowledge base. The material feeding and thinning system adopts a slanted-slot type structure and a crawler type structure. The optical imaging system comprises a CCD lens, a light source, a polyhedral reference background plate and an optical lens. The device increases the grading and separating efficiency, the product quality is guaranteed, intelligent separation of different materials and one machine with multiple separations are realized, and the grading and separating cost also can be greatly lowered, which is convenient for extending in large scale.
Description
Technical field
The utility model belongs to a kind of granular material sorting classifying device, is specifically related to a kind of granular material sorting classifying device based on embedded vision image technique and mode identification technology.
Background technology
Along with the development of China's grain industry and the development of food deep process technology, look selecting technology, near-infrared spectral analysis technology etc. have been applied in the classification and sorting of agricultural byproducts such as rice gradually, in essence, the classification and sorting requirement of these agricultural product materials, have certain similitude, promptly belong to the granular material that need carry out sorting by color and luster.But because the spectral characteristic difference of these sorting materials, its classification and sorting standard-required also has very big-difference.Prior art lacks complete sorting material model to these granular materials, on a kind of device simultaneously during the multiple granular material of sorting, separating effect to some material is very undesirable, particularly very approaching material sorting to some colors, in addition, the classification and sorting standard variation of some materials is difficult for unified, and prior art is difficult to realize at the intelligent sorting of various classification and sorting standards.
In the last few years, agricultural byproducts such as matrimony vine, raisins, pine nut, broad bean, certain herbaceous plants with big flowers benevolence were subject to people's attention day by day.But because the particularity of these agricultural byproducts crop production, its fruit particle more is easy to generate different color and lusters in process of production, and the product of different qualities is as the black fruit in the fruit of Chinese wolfberry, oil fruit, Chinese olive; Multiple products such as the green raisin in the raisins finished product, yellow raisins, brown raisins and black raisins.For these agricultural product, its edible quality, commodity value and presentation quality have very confidential relation, and the product behind the sorting classifying has more highland commodity value.As raisins export trade market, to the quality requirement of raisins be: under the good prerequisite of oeverall quality, the color size shape must be consistent.During fruit of Chinese wolfberry products export, color and luster is as one, and the fruit of Chinese wolfberry that single weight is big has the edibility of tangible price advantage and Geng Gao.In addition, in recent years different sorting classifying requirements has been proposed also materials such as pearl, graininess plastics.
But because the spectral characteristic difference of these sorting materials, its classification and sorting standard also has very big-difference.Prior art lacks complete sorting material model to these granular materials, and is very undesirable to the material separating effect that some colors are very approaching, realizes only requiring also comparatively difficulty with the intelligent classification and sorting of the various granular materials of a kind of device simultaneous adaptation.
In Chinese patent application " color sorting apparatus of granular feedstock " (publication number CN1208673A), disclosing a kind of silicon photodetector or ccd detector of utilizing surveys the photosignal of good grain and harmful grain in the cereal grains material, utilize the amplitude and good grain voltage threshold difference of harmful grain detectable signal, realize the colour sorting of harmful grain.
But, because the characteristic of silicon photodetector spare itself, the very abundant and normal material and reject the material color very under the situation near (as green in the raisins and light yellow raisins) to some colors, its resolving accuracy is limited, therefore, based on the sorting unit of this detector to the effectively sorting of some material.
In recent years, the machine vision technique that fast development is got up has obtained using widely in a plurality of industries, utilize the visual identity technology can be at a high speed, high-resolution collection and handle the image of various objects, utilize various image processing algorithm technology can differentiate atomic little difference on the object simultaneously, this provides assurance for realizing the more effective sorting classifying of various particles.
Summary of the invention
The utility model proposes in order to overcome the shortcoming that exists in the prior art, its objective is provides a kind of intelligent classifying and sorting device that can adapt to multiple granule materials such as rice, matrimony vine, raisins, pine nut, broad bean, certain herbaceous plants with big flowers benevolence, cottonseed, pearl, realizes an intelligentized classification and sorting and a real machine multiselect.
The technical solution of the utility model is: a kind of granular material sorting classifying device based on visual identity, comprise that machinery is installed carrying platform, color touch is shielded and embedded vision processing controls platform, in machinery installation carrying platform material storing box, feeding and the system that makes thinner, optical imaging system and eliminating system are installed, embedded vision processing controls platform is made up of IMAQ pretreatment system, vision control system and characteristic information expert knowledge library.
Described feeding is the structure of oblique slot type with the system of making thinner.Described feeding is caterpillar structure with the system of making thinner.Optical imaging system comprises CCD camera lens, light source, polyhedron reference background plate and lens.
Color touch screen like color touch screen employing VT585W or the performance classes.
Polyhedron reference background plate is a hexahedron.
The utility model has improved classification and sorting efficient, and product quality is guaranteed, realized different material intelligent sorting, accomplish a machine multiselect, the classification and sorting cost also can reduce widely, is convenient to large-scale popularization.
Description of drawings:
Fig. 1 is an overall structure theory diagram of the present utility model;
Fig. 2 is the oblique slot type structural representation of the feeding in the utility model and the system that makes thinner;
Fig. 3 is the track structure schematic diagram of the feeding in the utility model and the system that makes thinner.
Wherein:
1 machinery is installed carrying platform 2 color touch screen
3 embedded vision processing controls platforms, 4 material storing box
5 feedings and system's 6 optical imaging systems of making thinner
7 eliminating systems, 8 normal materials
9 IMAQ pretreatment systems, 10 vision control systems
11 characteristic information expert knowledge libraries 12 are rejected material
13 holding wires, 14 oscillating feeders
15 skewed slot 16CCD camera lenses
17 light sources, 18 background boards
19 nozzles, 20 normal material rewinding mouths
21 reject the material rewinding mouths 22 materials conveying device of making thinner
23 normal material conveyer belts 24 are rejected and are carried out controlling organization
The specific embodiment
Below, with reference to drawings and Examples the granular material sorting classifying device based on visual identity of the present utility model is elaborated:
Shown in Fig. 1～3, a kind of granular material sorting classifying device based on visual identity comprises machinery installation carrying platform 1, color touch screen 2 and embedded vision processing controls platform 3.
In machinery installation carrying platform 1, material storing box 4, feeding are installed and the system 5 that makes thinner, optical imaging system 6 and eliminating system 7.
Wherein, feeding and the system of making thinner 5 are different according to sorting material, can be suitable for the different materials conveyer of making thinner.The material less to particles such as rice, the structure of design oblique slot type; And adopt caterpillar structure for the material design of larger particles such as broad bean, pearl.
In oblique slot type frame for movement, optical imaging system 6 comprises CCD camera lens 16, light source 17, polyhedron reference background plate 18 and lens (not shown).
In oblique slot type frame for movement, material falls into skewed slot 15 through oscillating feeder 14 with certain speed, and the skewed slot 15 of flowing through is injected in the shooting district of the optical imaging system 6 of skewed slot below equably.
In track structure, optical imaging system 6 comprises a CCD camera lens 16, light source 17, a polyhedron background board 18 and lens.
In track structure, material is fallen material through the vibration of oscillating feeder 14 and is made thinner on the belt of conveying device 22, the width of belt and speed proportion relation, belt moves according to the shooting district of certain speed to optical imaging system 6 under the drive of drive motors (not shown), on belt, be provided with simultaneously a blade structure (not shown), it does linear reciprocating motion on belt, material thickness on the belt is reduced, material evenly spreads out on belt and makes thinner, and enters the shooting district of the visual pattern of optical imaging system 6 at last.
The heterochromatic material that normal material and need picking will remove is after optical imaging system 6 obtains its image, after IMAQ pretreatment system 9 is handled, obtain different characteristic image information respectively, last vision control system 10 is handled computing to these characteristic image information, controls other mechanism at last and carries out the sorting action.
Polyhedron background board 18, under different reference background, the gradation of image value that CCD camera lens 16 gets access to is different with RGB (red, green, orchid) characteristic information value, for satisfying the requirement of sorting different colours, adopting a polyhedron is the reference background plate, the utility model is a hexahedron, and every face scribbles different reference background looks.Polyhedron background board 18 is by control circuit control, and can requiring automatically according to the different material sorting classifying during work, the control background board turns to the different background faceted pebble.
Eliminating system 7 is made up of control system of actuating mechanism 24 and nozzle 19, and control system of actuating mechanism 24 comprises Drive and Control Circuit, compressed air system and pressure-regulating device etc., and nozzle 19 can be designed to the different structure form as required, as the flat structure.
After embedded image process control system 3 is finished the image feature information comparison operation, send to reject to instruct to and carry out controlling organization, this moment, Drive and Control Circuit was sent corresponding electromagnetic gas valve nozzle 19 OPENs, by nozzle 19 ejection pressure-airs heterochromatic material was blown out.Meanwhile, control system of actuating mechanism 24 detects the pressure of compressed air system, and when rejecting pressure was not enough or too big, the control automatic pressure regulator carried out the air pressure adjustment.
In addition, air-channel system (not shown) provides pressure-air for rejecting mechanism high speed air valve nozzle, and by control system of actuating mechanism monitoring compressed air system, when rejecting pressure was not enough or too big, the control automatic pressure regulator carried out the air pressure adjustment.
Eliminating system 7 is final executing agencies of whole device, and it finally finishes separating of qualified material and variegated material.Normal material 8 falls into normal material rewinding mouth 20, falls into rejecting material rewinding mouth 21 and reject material 12.
Color touch screen 2 is connected with embedded vision processing controls platform 3 by holding wire 13 as human-computer interaction interface.During sorting, treat the corresponding matching image characteristic of sorting material, on touch-screen, show the normal material image and the corresponding with it image of picking out material that sub-elect according to different sorting classifying standards according to existing in the characteristic information expert knowledge library 11.Click different images, can determine to have selected different sorting standards.Simultaneously when sorting work, collect the image of current sorting material through optical imaging system 6 after, can on touch-screen, show in real time, be convenient to observe.Color touch in the utility model screen 2 can be selected color touch screen like VT585W type or the performance classes for use.
Embedded vision processing controls platform 3 is made up of IMAQ pretreatment system 9, vision control system 10 and characteristic information expert knowledge library 11.
Wherein, FPGA (Field Programmable Gate Array, field programmable gate array): be the highest a kind of of integrated level in the special IC (ASIC), inside comprises configurable logic blocks, output input module and three parts of interconnector.In the utility model, field programmable gate array can the serial EP3C120 chip of Cai Yong Hurricane wind III (Cyclone III) or performance classes like device.To processing result image, control each building block co-ordination according to DSP with DSP.
Wherein, DSP (Digital Signal Processor, digital signal processor) is mainly used in digital processing field, is fit to very much high density, and the signal of repetitive operation and large data capacity is handled.Specialized hardware multiplier and special signal processing instruction are arranged in DSP, thereby can handle with higher arithmetic speed data image signal.In the utility model, in the utility model, digital signal processor is made of device like chip TMS320DM64X or the performance classes.
Characteristic information expert knowledge library 11 is according to collecting the image of relevant material and concrete sorting classifying standard, characteristic informations such as the image of the material that determine its normal material, will reject, shape profile.The characteristic information expert knowledge library is stored in the mass storage device on the embedded vision processing controls platform 3 in advance.
Can be divided into several colors such as mould fruit, black fruit, oil fruit and Chinese olive as the fruit of Chinese wolfberry according to its color through the airing oven dry, be divided into according to the exocuticle area of the fruit of Chinese wolfberry, the parameters such as size of maximum gauge: fruit of Chinese wolfberry king, 180 (represent the fruit of Chinese wolfberry number of per 50 grams in the fructus lycii dry fruits, down with), 280,350 and several classes such as little pearls and jewels.In the classification and sorting processing of reality, often determine multiple different standard according to client's different needs.And its criteria for classification of the fruit of Chinese wolfberry in the different places of production, different times is also different.Therefore, need to collect all classification and sorting standards as much as possible, carry out subjective appreciation according to its color, size etc., set up the characteristic information expert knowledge library of matrimony vine classifying sorting by corresponding professional.
The utility model has improved classification and sorting efficient, and product quality is guaranteed, realized different material intelligent sorting, accomplish a machine multiselect, the classification and sorting cost also can reduce greatly, is convenient to large-scale promotion.
Claims (6)
1, a kind of granular material sorting classifying device based on visual identity, it is characterized in that: comprise machinery installation carrying platform (1) and embedded vision processing controls platform (3), it is characterized in that: also comprise color touch screen (2), in described machinery installation carrying platform (1) material storing box (4), feeding and the system that makes thinner (5), optical imaging system (6) and eliminating system (7) are installed, described embedded vision processing controls platform (3) is made up of IMAQ pretreatment system (9), vision control system (10) and characteristic information expert knowledge library (11).
2, the granular material sorting classifying device based on visual identity according to claim 1 is characterized in that: described feeding is the structure of oblique slot type with the system (5) that makes thinner.
3, the granular material sorting classifying device based on visual identity according to claim 1 is characterized in that: described feeding is caterpillar structure with the system (5) that makes thinner.
4, the granular material sorting classifying device based on visual identity according to claim 1 is characterized in that: optical imaging system (6) comprises CCD camera lens (16), light source (17), polyhedron reference background plate (18) and lens.
5, the granular material sorting classifying device based on visual identity according to claim 1 is characterized in that: color touch screen like color touch screen (2) employing VT585W type or the performance classes.
6, a kind of granular material sorting classifying device based on visual identity according to claim 4, it is characterized in that: polyhedron reference background plate (18) is a hexahedron.
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| CNU2008200736725U CN201150919Y (en) | 2008-01-17 | 2008-01-17 | Granular material sorting and grading device based on visual identification |
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| CNU2008200736725U CN201150919Y (en) | 2008-01-17 | 2008-01-17 | Granular material sorting and grading device based on visual identification |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105195438A (en) * | 2015-09-25 | 2015-12-30 | 广东海洋大学 | Embedded type automatic pearl sorting device and method based on image recognition |
| CN105964560A (en) * | 2016-06-27 | 2016-09-28 | 惠州市哈罗德科技有限公司 | Processing machine for pistachio nuts |
| CN106111554A (en) * | 2016-06-27 | 2016-11-16 | 惠州市哈罗德科技有限公司 | Semen Pini datatron |
| CN106984562A (en) * | 2017-04-18 | 2017-07-28 | 江阴市广福机械有限公司 | A kind of primary sorting platform of house refuse and refuse classification method |
| CN109848047A (en) * | 2019-03-31 | 2019-06-07 | 南京林业大学 | A kind of blueberry automatic sorting device |
| CN110721927A (en) * | 2019-10-18 | 2020-01-24 | 珠海格力智能装备有限公司 | Visual inspection system, method and device based on embedded platform |
| CN111558549A (en) * | 2020-04-28 | 2020-08-21 | 天津职业技术师范大学(中国职业培训指导教师进修中心) | Automatic detection, identification and sorting device for intelligent building blocks |
| CN113182203A (en) * | 2021-05-17 | 2021-07-30 | 柳州市诚明科技有限公司 | Intelligent silkworm cocoon sorting method |
| CN113578767A (en) * | 2021-05-18 | 2021-11-02 | 中国检验检疫科学研究院 | On-line detection separator for internal and external quality of grains and analysis method |
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2008
- 2008-01-17 CN CNU2008200736725U patent/CN201150919Y/en not_active Expired - Fee Related
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105195438B (en) * | 2015-09-25 | 2019-07-19 | 广东海洋大学 | Embedded automatic pearl sorter and method for sorting based on image recognition |
| CN105195438A (en) * | 2015-09-25 | 2015-12-30 | 广东海洋大学 | Embedded type automatic pearl sorting device and method based on image recognition |
| CN105964560A (en) * | 2016-06-27 | 2016-09-28 | 惠州市哈罗德科技有限公司 | Processing machine for pistachio nuts |
| CN106111554A (en) * | 2016-06-27 | 2016-11-16 | 惠州市哈罗德科技有限公司 | Semen Pini datatron |
| CN105964560B (en) * | 2016-06-27 | 2018-11-27 | 淮北市硕华机械设备有限公司 | American pistachios processor |
| CN106984562A (en) * | 2017-04-18 | 2017-07-28 | 江阴市广福机械有限公司 | A kind of primary sorting platform of house refuse and refuse classification method |
| CN106984562B (en) * | 2017-04-18 | 2023-02-17 | 江阴市广福机械有限公司 | Household garbage primary sorting platform and garbage sorting method |
| CN109848047A (en) * | 2019-03-31 | 2019-06-07 | 南京林业大学 | A kind of blueberry automatic sorting device |
| CN110721927A (en) * | 2019-10-18 | 2020-01-24 | 珠海格力智能装备有限公司 | Visual inspection system, method and device based on embedded platform |
| CN111558549A (en) * | 2020-04-28 | 2020-08-21 | 天津职业技术师范大学(中国职业培训指导教师进修中心) | Automatic detection, identification and sorting device for intelligent building blocks |
| CN111558549B (en) * | 2020-04-28 | 2022-03-29 | 天津职业技术师范大学(中国职业培训指导教师进修中心) | Automatic detection, identification and sorting device for intelligent building blocks |
| CN113182203A (en) * | 2021-05-17 | 2021-07-30 | 柳州市诚明科技有限公司 | Intelligent silkworm cocoon sorting method |
| CN113182203B (en) * | 2021-05-17 | 2023-11-28 | 柳州市诚明科技有限公司 | Intelligent silkworm cocoon sorting method |
| CN113578767A (en) * | 2021-05-18 | 2021-11-02 | 中国检验检疫科学研究院 | On-line detection separator for internal and external quality of grains and analysis method |
| CN113578767B (en) * | 2021-05-18 | 2023-01-10 | 中国检验检疫科学研究院 | On-line detection separator for internal and external quality of grains and analysis method |
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| GR01 | Patent grant | ||
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Owner name: RESEARCH INSTITUTE OF PHYSICAL AND CHEMICAL ENGINE Free format text: FORMER OWNER: TIANJIN HUAHE TECHNOLOGY CO., LTD. Effective date: 20111216 |
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Effective date of registration: 20111216 Address after: The 300384 Tianjin City Huayuan Industrial Zone Development Road six No. 6 Haitai green industry base building J room 104 Patentee after: Huahe New Technology Development Company, Research Institute of Physical and Chemical Engineering of Nuclear Industry Address before: The 300384 Tianjin City Huayuan Industrial Zone No. six room Haitai development 7 601-B green industrial base K2 Patentee before: Tianjin Huahe Technology Co., Ltd. |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
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