CN111842097B - Granular crop screening and arranging device - Google Patents

Granular crop screening and arranging device Download PDF

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Publication number
CN111842097B
CN111842097B CN202010683937.9A CN202010683937A CN111842097B CN 111842097 B CN111842097 B CN 111842097B CN 202010683937 A CN202010683937 A CN 202010683937A CN 111842097 B CN111842097 B CN 111842097B
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sieve
screen
grains
box
crops
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CN111842097A (en
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柴新禹
芦卓凡
李恒
徐飞
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Shanghai Jiaotong University
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Shanghai Jiaotong University
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07BSEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
    • B07B1/00Sieving, screening, sifting, or sorting solid materials using networks, gratings, grids, or the like
    • B07B1/04Stationary flat screens
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting 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
    • B07C5/34Sorting according to other particular properties
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07BSEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
    • B07B2201/00Details applicable to machines for screening using sieves or gratings
    • B07B2201/04Multiple deck screening devices comprising one or more superimposed screens

Abstract

A granular crop screening arrangement comprising: a screen box having a composite double-layer structure screen hole for screening out complete grains and slightly crushed grains, severely crushed grains and shrunken grains and foreign substances, an image processing and analyzing module and a display device, wherein: the image processing and analyzing module is used for collecting and carrying out recognition analysis processing on the obtained images to finish the discrimination of the imperfect grain types of the grain crops; the screen box is positioned on the display device, and an information prompt frame of the display device gives different prompts aiming at the recognition of different types of imperfect grains by the image processing and analyzing module, so that operators can conveniently and quickly select out the different types of imperfect grains; the invention can quickly screen out complete grains and slightly broken grains of the granular crops to be detected; the computer vision detection method provides more image information for the computer vision detection of the granular crops, and meanwhile, the granular crops to be detected are regularly arranged, so that the image segmentation is facilitated, and the purposes of improving the detection efficiency and the detection accuracy of the granular crops are achieved.

Description

Granular crop screening and arranging device
Technical Field
The invention relates to a technology in the field of agricultural tools, in particular to a granular crop screening and arranging device.
Background
Quality inspection and classification of crops are very important links for storage, trade and processing of the crops. In this link, the proportion and specific gravity of the imperfect granules are key indexes for measuring the quality grade of crops. At present, the quality inspection and grading of crops mostly adopt a traditional manual method of counting spot inspection and grain-by-grain observation, and the method has the defects of large workload, long time consumption, complex screening steps, complex counting statistics and low efficiency, and can not meet the efficient and convenient requirements of crop storage, trade, production and processing and the like.
In recent years, computer vision is rapidly developed and widely applied to the fields of intelligent detection, unmanned driving and the like. The information expression of computer vision, object identification and artificial intelligence reasoning and decision are combined, and the requirements of fast grading, accuracy, high efficiency, large batch and the like of the quality inspection of crops are met. Crop image information acquisition based on a computer vision technology is a precondition and a basis of subsequent image processing, image recognition and other steps, and finally influences the type discrimination and detection accuracy of crops. Therefore, how to obtain the image information of crops as completely as possible in the image obtaining stage, how to arrange the grain crops regularly so as to facilitate the computer vision image segmentation, and how to quickly select the imperfect grains so as to complete the classification component statistics in the detection process are all practical problems to be solved at present.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a granular crop screening and arranging device.
The invention is realized by the following technical scheme:
the invention relates to a granular crop screening and arranging device, which comprises: a screen box having a composite double-layer structure screen hole for screening out complete grains and slightly crushed grains, severely crushed grains and shrunken grains and foreign substances, an image processing and analyzing module and a display device, wherein: the image processing and analyzing module is used for collecting and carrying out recognition analysis processing on the obtained images to finish the discrimination of the imperfect grain types of the grain crops; the screen box is located display device, and display device's information prompt box gives different suggestion to image processing and analysis module discernment different types of imperfect grain, makes things convenient for operating personnel to select different types of imperfect grain fast.
The composite double-layer structure sieve pores enable the severely crushed particles and the shrunken particles to fall down, and the completely crushed particles and the slightly crushed particles are kept and arranged regularly.
The sieve box include that the three-layer has the sub-sieve box of the sieve mesh that the size reduces in proper order, specifically include: the first sub-sieve box with large-size sieve holes, the second sub-sieve box with composite double-layer structure sieve holes and the third sub-sieve box with small-size sieve holes.
The upper strata of compound bilayer structure sieve mesh be equipped with the two-sided chamfer structure of unilateral, the sieve mesh in different position has the not chamfer of equidimension, the image acquisition device of both sides obtains more comprehensive two-sided image information about convenient, the semicircle border that is close to the camera promptly adopts two-sided chamfer structure, the semicircle edge of keeping away from the camera does not have the chamfer structure, specifically does: the double-sided chamfer of the sieve mesh far away from the camera is larger, the double-sided chamfer of the sieve mesh near to the camera is smaller, and the camera under the camera is not provided with a chamfer.
The lower layer of the composite double-layer structure sieve mesh is provided with a transparent layer which is convenient for obtaining the back information of the granular crops.
The space between the sieve pores of the composite double-layer structure sieve pores meets 2-20 mm.
The chamfering degrees of the sieve holes are consistent up and down and are determined according to the vertical distance between the camera and the center of the sieve hole, the horizontal distance between the camera and the center of the sieve hole, the type and the shape of the observed crop, the bottom thickness of the sieve box, the arrangement of the sieve holes and other factors.
Preferably, the chamfering angle of the sieve mesh is calculated by utilizing the pythagorean theorem according to the vertical distance between the camera and the center of the sieve mesh and the horizontal distance between the camera and the center of the sieve mesh on the premise of ensuring the resolution of the image pixel, and the distance between the camera and the center of each sieve mesh is calculated by utilizing the trigonometric function.
Further preferably, the chamfer angle of the sieve pore is finely adjusted according to the type and shape of the observed crop and the thickness of the upper layer of the composite double-layer structure.
And a recovery box is arranged at the bottom of the sieve box.
Technical effects
The invention integrally solves the problem that the prior art can not quickly screen out complete grains and slightly broken grains of the granular crops to be detected; the computer vision detection method provides more image information for the computer vision detection of the granular crops, and meanwhile, the granular crops to be detected are regularly arranged, so that the image segmentation is facilitated, and the purposes of improving the detection efficiency and the detection accuracy of the granular crops are achieved.
Compared with the prior art, the sieve mesh with the composite double-layer structure can quickly separate complete granules, slightly crushed granules, severely crushed granules, shrinkage granules, impurities and the like; the sieve box with the composite double-layer structure sieve pores can not only enable the seriously crushed particles and the shrivelled particles to fall, but also keep the completely crushed particles and the slightly crushed particles, and improve the detection efficiency of each batch. The upper layer of the composite double-layer structure sieve pore is provided with a unilateral double-sided chamfer structure, so that more comprehensive double-sided image information of granular crops can be acquired, and the detection accuracy and detection efficiency of the granular crops in computer vision are improved.
The size of the upper layer hole of the composite double-layer structure sieve pore is equivalent to the size of the crop particles to be detected, the shape of the upper layer hole is matched with the natural state of crops, and sieve pores with different shapes are designed according to different types of crops; the sieve mesh is regularly arranged and has moderate density, and a certain distance is reserved between every two sieve meshes, so that the detection efficiency can be considered, and the subsequent image processing and analysis module processing can be facilitated. The lower layer of the composite double-layer structure sieve mesh adopts a transparent structure, so that the double-sided image information of the granular crops can be acquired. Finally, the invention combines the information counted by the image processing and analyzing module to display an information prompt box on the display screen, thereby helping the detection personnel to quickly select different types of imperfect granules. The invention is a key core component of an automatic crop detection and analysis system, and provides powerful technical support for quick, efficient and intelligent crop detection.
Drawings
FIG. 1 is a schematic view of three layers of sub-sieve boxes stacked in sequence with different sizes according to the present invention
FIG. 2 is a schematic view of a first sub-sieve box of the invention (wheat example);
FIG. 3 is a schematic view of a second sub-sieve box and its composite double-layer structure sieve holes (wheat example) of the present invention;
FIG. 4 is a schematic view of a third sub-sieve box of the invention (wheat example);
FIG. 5 is a schematic view of a bottom recovery box;
FIG. 6 is a side view of a single-sided double-sided chamfer structure of a composite mesh;
FIG. 7 is a schematic view of a flow chart of granular crop detection (an example of wheat);
FIG. 8 is a schematic diagram of a method for rapidly selecting defective granules by combining a second sub-sieve box with an information prompt box;
in the figure: the device comprises a first sub-sieve box 1, a large-size sieve pore 2, a second sub-sieve box 3, a composite double-layer structure sieve pore 4, a third sub-sieve box 5, a small-size sieve pore 6, a bottom recovery box 7, an upper layer 8 of the composite double-layer structure, a lower layer 9 of the composite double-layer structure, a single-side double-face chamfer structure 10, a sieve pore outlet 11, granular crops 12, double-side cameras 13, a liquid crystal display screen 14 and an imperfect grain information prompt frame 15.
Detailed Description
As shown in fig. 8(b), the granular crop screening and arranging apparatus according to the present embodiment includes: a screen box having a composite double-layer structure screen hole for screening out complete grains and slightly crushed grains, severely crushed grains and shrunken grains and foreign substances, an image processing and analyzing module and a display device, wherein: the image processing and analyzing module is used for collecting and carrying out recognition analysis processing on the obtained images to finish the discrimination of the imperfect grain types of the grain crops; the screen box is located display device, and display device's information prompt box gives different suggestion to image processing and analysis module discernment different types of imperfect grain, makes things convenient for operating personnel to select different types of imperfect grain fast.
As shown in fig. 1, the screen box comprises three layers of sub-screen boxes which are stacked in sequence and have different sizes, wherein:
as shown in fig. 2, the first sub-sieve box 1 is located at the first layer, and the bottom is provided with large-sized sieve holes 2. The size of the sieve mesh is correspondingly adjusted according to the size of the particles, and a circular sieve mesh with the diameter of 4-4.5 mm is selected for wheat as an example, so that large-size impurities such as cobblestones, bran, wheat straws and the like can be screened.
As shown in fig. 3, the second sub-sieve box 3 is located on the second layer, the bottom of the second sub-sieve box is provided with a composite double-layer structure sieve pore 4, the upper layer 8 of the sieve pore 4 is provided with a single-side double-side chamfering structure 10, and when the double-side cameras 13 shoot image information, edge shielding can be avoided or reduced, so that more granular crop image information can be obtained. The overall dimension of the upper layer 8 holes of the composite double-layer structure is equivalent to the dimension of the grains of the crops to be detected, the shape of the holes is matched with the natural state of the crops, and sieve pores with different shapes are designed according to different types of crops, so that the granular crops are regularly arranged. Taking wheat as an example, olive-shaped holes are selected.
The lower layer 9 of the sieve pore 4 has a transparent structure, so that a camera at the lower side can conveniently acquire bottom image information, and the sieve pore outlet 11 at the bottom is determined according to the average value of the sizes of the severely crushed particles and the shrunken particles. A circular sieve with a diameter of 2-2.5 mm is selected for wheat as an example, and aims to remove severely crushed grains, shrunken grains and the like and retain fully-crushed grains and slightly-crushed grains of crops.
As shown in fig. 4, the third sub-sieve box 5 is located at the third layer, and the bottom is provided with small-sized sieve holes 6. The size of the sieve pores is correspondingly adjusted according to the size of the particles, and a circular sieve pore with the diameter of 1.5-2 mm is selected for wheat as an example, so that the particles are severely crushed and shrunk, and dust, chips, small particle impurities and the like are removed.
As shown in fig. 5, the bottom of the sieve box is preferably further provided with a bottom recovery box 7, the bottom of the bottom recovery box 7 has no sieve holes, and the purpose is to recover dust, debris, small particle impurities and the like.
As shown in fig. 6, the side view of the single-sided double-sided chamfer structure of the composite sieve pore is shown, the composite double-layer structure sieve pores 4 with the composite double-layer structure are regularly arranged and have moderate density, and each sieve pore keeps a certain distance, so that the detection efficiency can be considered, and convenience can be provided for subsequent image processing and counting. The mesh spacing range is as follows: 2 mm-20 mm.
Through placing the granular crops 12 that await measuring in the sieve box that has compound bilayer structure sieve mesh 4, because the sieve mesh has the two-sided chamfer 10 of unilateral, can effectively solve the border and shelter from the problem, make the camera acquire more two-sided image information of granular crops.
The size of the unilateral double-sided chamfer 10 is not fixed, the sieve mesh double-sided chamfer 10 far away from the camera is larger, the sieve mesh double-sided chamfer 10 near the camera is smaller, and the camera positioned right below the camera is not chamfered.
The single-side double-sided chamfer 10 has a single-side structure, namely a double-sided chamfer structure is adopted at the edge of the semicircle close to the camera, and no chamfer structure is arranged at the edge of the semicircle far away from the camera.
The chamfering degrees of the upper surface and the lower surface of the single-side double-sided chamfer 10 of the sieve pore are consistent and are determined according to the vertical distance between the camera and the center of the sieve pore, the horizontal distance between the camera and the center of the sieve pore, the type and the shape of the observed crop, the bottom thickness of the sieve box, the arrangement of the sieve pore and other factors. On the premise of ensuring the pixel resolution of the image, the distance between the camera and the center of each sieve pore is calculated by utilizing the pythagorean theorem according to the vertical distance between the camera and the center of the sieve pore and the horizontal distance between the camera and the center of the sieve pore, the cutting angle is calculated by utilizing the trigonometric function, and then the arrangement of the sieve pores is slightly adjusted according to the type and the shape of the observed crops and the upper layer thickness of the composite double-layer structure.
As shown in fig. 7, it is a block diagram of a granular crop detection process (taking wheat as an example), and the operation process is as follows: firstly, the first sub-sieve box 1, the second sub-sieve box 3, the third sub-sieve box 5 and the bottom recovery box 7 fall from top to bottom in sequence like a food steamer. And placing the wheat grains to be detected in the first sub-sieve box 1 on the top layer, shaking, taking out the second sub-sieve box 3 after the sub-sieve is separated, and placing the second sub-sieve box under the cameras 13 on the two sides for taking a picture. The photographed image information is transmitted to an image processing and analyzing system to discriminate the different types to which the wheat belongs, and then the result is displayed on the imperfect grain information prompt box 15 on the liquid crystal display 14, as shown in fig. 8 (a). Finally, the quick sorting is completed by combining the second sub-sieve box 3, as shown in fig. 8 (b).
And prompting the belonging category in the imperfect particle information prompt box 15 according to the processing result of the image processing and analyzing module. Different prompts (e.g., different colors or patterns) are given in the cells of the imperfect grain information prompt box 15 according to the type of the imperfect grains.
When the granular crops in the grid in the imperfect grain information prompt box 15 belong to two categories at the same time (for example, the wheat belongs to both the germinated grain and the wormhead grain), the grid can alternately display the prompt information of the two categories (the prompt information of the germinated grain and the wormhead grain exist in the prompt box). When the granular crops in the square are simultaneously subordinate to multiple categories, the square can alternately display prompting messages of the multiple categories.
The blinking frequency of the prompting information in the imperfect grain information prompting box 15 indicates the imperfect grade of the category (for example, the broken wheat is serious, the blinking in the prompting box is fast, the broken wheat is slight, and the blinking in the prompting box is slow).
The imperfect grain information prompt box 15 only prompts imperfect grain information, and does not prompt normal grains.
Compared with the prior art, the device has the advantages that the composite double-layer structure sieve mesh with the unidirectional double-sided chamfer enables the camera to acquire more image information of double sides, so that complete granules and slightly crushed granules can be quickly screened out while the discrimination accuracy of computer vision is improved; more image information is provided for computer vision detection of granular crops, and the granular crops to be detected are regularly arranged, so that image segmentation is facilitated, and the detection efficiency and the detection accuracy of the granular crops are improved.
The foregoing embodiments may be modified in many different ways by those skilled in the art without departing from the spirit and scope of the invention, which is defined by the appended claims and all changes that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims (8)

1. A granular crop screening and arranging device is characterized by comprising: a screen box having a composite double-layer structure screen hole for screening out complete grains and slightly crushed grains, severely crushed grains and shrunken grains and foreign substances, an image processing and analyzing module and a display device, wherein: the image processing and analyzing module is used for collecting and carrying out recognition analysis processing on the obtained images to finish the discrimination of the imperfect grain types of the grain crops; the screen box is positioned on the display device, and an information prompt box of the display device gives different prompts aiming at the imperfect grains of different types identified by the image processing and analyzing module;
the screen boxes comprise three layers of sub-screen boxes with screen holes with sequentially reduced sizes;
the composite double-layer structure sieve pores enable the severely crushed particles and the shrunken particles to fall down, and the completely crushed particles and the slightly crushed particles are kept and arranged regularly;
the upper strata of compound bilayer structure sieve mesh have the two-sided chamfer structure of unilateral, the sieve mesh in different position has the chamfer of equidimension not, and the two-sided chamfer of sieve mesh far away from the camera is great, and the two-sided chamfer of sieve mesh nearer from the camera is less, and the camera that is located under the camera does not have the chamfer.
2. The granular crop screening and aligning apparatus as claimed in claim 1, wherein the screen box includes: the first sub-sieve box with large-size sieve holes, the second sub-sieve box with composite double-layer structure sieve holes and the third sub-sieve box with small-size sieve holes.
3. The apparatus as claimed in claim 1, wherein the size of the holes on the upper layer of the composite double-layer screen mesh is equal to the size of the particles of the crops to be detected, the shape of the holes is matched with the natural state of the crops, and different shapes of screen meshes are designed according to different types of crops, so that the granular crops can be regularly arranged.
4. The granular crop screening arrangement of claim 1 wherein the composite double layer screen mesh has a transparent layer on the bottom for obtaining information about the backside of the granular crop, the exit of the screen mesh at the bottom being determined by the average of the sizes of the severely crushed and shrunken grains.
5. The granular crop screening and arranging device as claimed in claim 1, wherein the spacing between the screen holes of the composite double-layer structure screen hole is 2mm to 20 mm.
6. The granular crop screening and arranging device of claim 1, wherein the chamfer of the screen hole is used for calculating the distance between the camera and the center of each screen hole by using the pythagorean theorem according to the vertical distance between the camera and the center of the screen hole and the horizontal distance between the camera and the center of the screen hole on the premise of ensuring the resolution of image pixels, and the cutting angle is calculated by using a trigonometric function.
7. The apparatus as claimed in claim 1 or 6, wherein the chamfer of the mesh is finely adjusted according to the type and shape of the crop to be observed and the thickness of the upper layer of the composite double layer structure.
8. The granular crop screening and aligning apparatus as claimed in claim 1, wherein a recovery box is provided at the bottom of the screen box.
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CN112580540A (en) * 2020-12-23 2021-03-30 安徽高哲信息技术有限公司 Artificial intelligent crop processing system and method
CN112441438B (en) * 2021-01-28 2021-05-11 长沙润达智能装备有限公司 Discharge device for detecting material types

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CA2211169C (en) * 1995-02-01 2001-10-23 Beloit Technologies, Inc. Thermal imaging refuse separator
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CN202460971U (en) * 2011-12-29 2012-10-03 漳州市万诚粉体涂料有限公司 Vibrating-type screening device
US10679828B2 (en) * 2014-12-26 2020-06-09 A-Sat Corporation Method of measuring gas introducing hole provided in electrode for plasma etching device, electrode, electrode regeneration method, regenerated electrode, plasma etching device, and gas introducing hole state distribution diagram and display method for same
CN106076881B (en) * 2016-06-24 2019-01-22 北京农业智能装备技术研究中心 A kind of crop kernel automatic sorting device and method
CN108240986A (en) * 2016-12-27 2018-07-03 中国船舶重工集团公司七五○试验场 A kind of prematurity rice detection device
CN108240987A (en) * 2016-12-27 2018-07-03 中国船舶重工集团公司七五○试验场 A kind of paddy ranking equipment
CN208712178U (en) * 2018-07-11 2019-04-09 临泽县绿润种业有限公司 A kind of vegetable seeds screening plant for capableing of multistage screening

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