CN214794500U - Online detection device for wheat appearance quality - Google Patents
Online detection device for wheat appearance quality Download PDFInfo
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- CN214794500U CN214794500U CN202022872784.0U CN202022872784U CN214794500U CN 214794500 U CN214794500 U CN 214794500U CN 202022872784 U CN202022872784 U CN 202022872784U CN 214794500 U CN214794500 U CN 214794500U
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Abstract
The utility model belongs to the technical field of intelligent detection, and relates to an online detection device for the appearance quality of wheat; the device comprises a motor, a conveyor belt, a hopper, a chute, a single grain guide groove, a shading box, a linear array light source, an image acquisition device, a display screen and a computer; the conveying belt is arranged on the frame, stretches across two ends of the frame, and is provided with a hopper, a chute, a single grain guide groove and a shading box in sequence along the moving direction of the conveying belt; the conveyor belt penetrates through the single grain guide groove and the shading box; the hopper and the chute are integrally designed, and the outlet of the chute is butted with the conveyor belt; an image acquisition device is arranged above the interior of the shading box, and a linear array light source is arranged on the side wall of the shading box; the image acquisition device is electrically connected with the computer; the single-grain guide groove can separate the adhered wheat to realize the single grain of the wheat; the utility model discloses a real-time on-line measuring of wheat outward appearance quality has guaranteed the high-efficient automated inspection of wheat grain.
Description
Technical Field
The utility model belongs to the technical field of the intellectual detection system, concretely relates to online detection device of wheat outward appearance quality.
Background
Wheat is one of three major cereals in China, and the yield of wheat in China in 2019 is nearly 1.31 hundred million tons, which accounts for 17 percent of the total production amount of wheat all over the world. However, the comprehensive loss rate of wheat in China after delivery is 7.8%, wherein the loss proportion accounts for 40% when the quality of wheat is changed in the storage link, so that the quality detection of wheat in the food processing and production process is very important. In the national standard GB1351-2008 wheat, wheat grains with changed quality but still having edible value are called imperfect grains, including wormhole grains, broken grains, gibberellic disease grains, black embryo grains, germinated grains and mildewed grains. At present, traditional manual detection is mostly used, the evaluation standard mainly takes volume weight, impurities, defective grains and the like as important discrimination standards, the quality of wheat is evaluated by depending on the experience of detection personnel, and the method is unstable and is easily influenced by human factors.
The machine vision technology is characterized in that an image processing technology is taken as a core, a digital image processing technology is combined with digital image analysis, image recognition and other technologies, a partial functional system similar to a human brain is researched, and information of a research object is obtained.
At present, there is a document disclosing an automatic system and method for cotton seed selection, the system screens out unqualified seeds by collecting and analyzing the color information of cotton seeds and controlling an electromagnetic valve and a nozzle; however, the system cannot solve the problem of wheat adhesion before and after wheat adhesion, and easily causes errors in identification and classification. The platform solves the phenomenon of adhesion of grains through the design of a hole; however, the platform has a limited recognition amount each time, and the hole needs to be filled after each recognition, so that the recognition efficiency is remarkably reduced.
Therefore, the machine vision technology for detecting the appearance quality of the wheat at present has the following problems:
(1) in the image processing process, the adhered wheat influences the image processing speed, so that the problems of low image processing efficiency, low recognition accuracy and the like are caused; (2) in the research of the existing wheat single grain device, the problem of wheat adhesion before and after wheat adhesion can not be solved.
Disclosure of Invention
To exist not enough among the prior art, the utility model provides a wheat appearance quality on-line measuring device, the device accessible single grain is handled and is made the wheat separately, even if still have the individuality adhesion situation, only need do simply cut apart at the image recognition part can. The CMOS linear array color camera can realize real-time and rapid online detection of the appearance quality of the wheat, so that the wheat appearance quality can be identified and classified by a simple online detection device for the appearance quality of the wheat.
The utility model discloses a realize above-mentioned technical purpose through following technological means:
an online wheat appearance quality detection device comprises: the device comprises a rack, a driving part, a feeding part, a wheat single grain part, an image acquisition part and an image identification part;
the driving part comprises a motor and a conveyor belt; the feeding part comprises a hopper and a chute; the wheat single grain part is a single grain guide groove; the image acquisition part comprises a shading box, a linear array light source and an image acquisition device; the image recognition part comprises a display screen and a computer;
two ends of the rack are respectively marked as a first end and a second end; a fixed hopper, a chute, a single grain guide groove and a shading box are sequentially arranged on the frame along the direction from the first end to the second end;
the conveyor belt is arranged on the rack, has a length from a first end to a second end, and penetrates through the single grain guide groove and the shading box;
a bracket is arranged at the first end of the frame, and the hopper and the chute are fixed by the bracket; the hopper and the chute are integrally designed, and the hopper is arranged above the chute; the outlet of the chute is butted with the conveyor belt, so that the wheat flowing out of the chute slides onto the conveyor belt;
an image acquisition device is arranged right above the interior of the shading box, and a linear array light source is arranged on the side wall of the interior of the shading box; the image acquisition device is electrically connected with the computer;
and a collecting box is also arranged on the side wall of the second end of the rack and used for collecting wheat.
The slope of the sliding chute is designed, an inner angle formed by the sliding chute and the surface of the conveying belt is 30-45 degrees, and the sliding speed of wheat can be adjusted by changing the slope of the sliding chute;
a first baffle, a second baffle and a third baffle are arranged in the single grain guide groove; the width of the first baffle and the second baffle is the same as that of the conveyor belt, and the third baffle consists of a plurality of groups of grating plates which are sequentially arranged in a direction vertical to the movement direction of the conveyor belt; the group distance of the grating plates is 0.5-1 cm, and the distance between every two groups of grating plates is 5-10 mm; and two adjacent groups of grid plates are arranged in a staggered manner;
and the side wall of the rack is also provided with a motor, and an output shaft of the motor is connected with a driving wheel at one end of the conveying belt and used for driving the conveying belt to move.
Preferably, 10-15 channels are arranged in the sliding groove, the width of each channel is adjustable, and the width is 6-10 mm.
Preferably, the chute forms an internal angle of 45 ° with the conveyor belt surface.
Preferably, the group distance of the grid plates is 1cm, and the distance between every two groups of grid plates is 6 mm.
Preferably, the image acquisition device is a linear array CMOS color camera and an image acquisition card.
The working method comprises the following steps:
s1, pouring the wheat into a hopper, and sliding on the surface of the conveyor belt through a chute; then the wheat is conveyed to the single grain guide groove through the conveying belt, because the grid plates which are arranged in a staggered mode are arranged in the single grain guide groove, the wheat which is adhered to the left and the right can be effectively separated, if the wheat which is adhered to the front and the back is arranged, the grid plates can provide a blocking force for the wheat when passing through the second group of grid plates, so that the wheat falls into different channels, the wheat which is adhered to the front and the back is driven to be separated, and the wheat single grain is realized;
s2, continuously conveying the wheat to a shading box by a conveyor belt after passing through the single-grain guide groove, starting the linear array light source, carrying out image acquisition on the wheat flowing through the shading box by an image acquisition device, transmitting the acquired image information to a computer, and displaying an identification result on a display screen after the identification is carried out by image software;
and S3, continuously conveying the wheat subjected to image acquisition to a collection box through a conveying belt.
The image software is specifically wheat appearance quality detection system software designed by combining C # programming language on the basis of Halcon software; the construction of the image software is common knowledge to those skilled in the art.
The utility model has the advantages that:
(1) the utility model discloses utilize machine vision detection technique to realize the categorised discernment of wheat outward appearance quality.
(2) The guide grooves of the wheat single-grain part are arranged in a staggered mode, the design is simple, the use is convenient and flexible, the problem that the front and back adhesion separation of wheat grains is difficult in the traditional equipment is solved, the single-grain effect is improved remarkably, the calculated amount for solving the adhesion problem by means of image segmentation is greatly reduced, and the discrimination rate is remarkably improved.
(3) The device can realize the full-automatic online real-time detection of wheat appearance quality, makes the appearance quality detection of wheat more mechanized, automatic, intelligent.
Drawings
Fig. 1 is a schematic structural diagram of an online detection device for wheat appearance quality.
FIG. 2 is a feeding part of an online detecting device for the appearance quality of wheat.
FIG. 3 is a diagram of a single grain part of an online wheat appearance quality detection device.
The system comprises a hopper, a chute, a support, a conveyor belt, a single grain guide groove, a shading box, a linear array CMOS (complementary metal oxide semiconductor) color camera, a linear array light source, a wheat collecting box, an image collecting card, a display screen, a computer, a rack, a motor, a first baffle, a second baffle and a third baffle, wherein the hopper is 1-arranged, the chute is 2-arranged, the support is 3-arranged, the conveyor belt is 4-arranged, the single grain guide groove is 5-arranged, the shading box is 6-arranged, the linear array CMOS color camera is 7-arranged, the linear array light source is 8-arranged, the wheat collecting box is 9-arranged, the image collecting card is 10-arranged, the display screen is 11-arranged, the computer is 12-arranged, the rack is 14-arranged, the motor is 15-arranged, the first baffle is 16-arranged, and the third baffle is 17-arranged.
Detailed Description
The present invention will be described in more detail and more fully hereinafter with reference to the accompanying drawings and specific examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.
Example 1:
referring to fig. 1-3, an online detection device for wheat appearance quality comprises: the device comprises a rack 13, a driving part, a feeding part, a wheat single grain part, an image acquisition part and an image identification part;
the driving part comprises a motor 14 and a conveyor belt 4; the feeding part comprises a hopper 1 and a chute 2; the wheat single grain part is a single grain guide groove 5; the image acquisition part comprises a shading box 6, a linear array CMOS color camera 7, a linear array light source 8 and an image acquisition card 10; the image recognition portion includes a display screen 11 and a computer 12.
Two ends of the frame 13 are respectively marked as a first end and a second end; a fixed hopper 1, a chute 2, a single grain guide groove 5 and a shading box 6 are sequentially arranged on the frame 13 along the direction from the first end to the second end;
the conveyor belt 4 is arranged on the frame 13, has a length from a first end to a second end, and penetrates through the single grain guide groove 5 and the shading box 6;
a bracket 3 is arranged at the first end of the frame 13, and the hopper 1 and the chute 2 are fixed through the bracket 3; the hopper 1 and the chute 2 are integrally designed, and the hopper 1 is arranged above the chute 2; the outlet of the chute 2 is butted with a conveyor belt 4, so that the wheat flowing out of the chute 2 slides onto the conveyor belt 4; the slope of the sliding chute 2 is designed, and the gliding speed of wheat can be adjusted by changing the slope of the sliding chute 2; the internal angle formed by the surface of the conveyor belt 4 in the embodiment is 45 degrees; meanwhile, 15 channels are arranged in the sliding groove, the width of each channel is 6mm, only a single row of wheat is allowed to pass through, and the wheat slides through the channels to the conveying belt 4 by means of self gravity.
An image acquisition device is arranged right above the interior of the shading box 6, and a linear array light source 8 is arranged on the side wall of the interior of the shading box 6; the image acquisition device consists of a linear array CMOS color camera 7 and an image acquisition card 10, wherein the linear array CMOS color camera 7 is connected with the image acquisition card 10 through a data line, and the other end of the image acquisition card 10 is electrically connected with a computer 12 through a data line;
and a collecting box is also arranged on the side wall of the second end of the frame 13 and is used for collecting wheat. And a motor 14 is further arranged on the side wall of the rack 13, and an output shaft of the motor 14 is connected with a driving wheel at one end of the conveyor belt 4 and used for driving the conveyor belt 4 to move.
A first baffle 15, a second baffle 16 and a third baffle 17 are arranged in the single grain guide groove 5; the width of the first baffle 15 and the width of the second baffle 16 are the same as the width of the conveyor belt 4, and the third baffle 17 consists of three groups of grid plates which are sequentially arranged in a direction vertical to the moving direction of the conveyor belt 4; the direction of the arrow in the figure is the direction of movement of the conveyor belt 4;
each group of grid plates comprises a plurality of parallel independent grid plates, and the spacing between the grid plates is 6mm, namely the grid plates are represented by a letter B in the figure; and two adjacent groups of grid plates are arranged in a staggered mode, and the group distance between the three groups of grid plates is 1cm, namely the group distance is represented by a letter A in the figure.
After wheat passes through the first group of grating plates, the left and right adhered wheat can be effectively separated, if the front and back adhered wheat is available, the grating plates can provide a blocking force for the wheat when passing through the second group of grating plates, so that the wheat falls into different channels, the front and back adhered wheat is driven to be separated, and the wheat is singulated.
The detection method comprises the following steps:
s1, pouring the wheat into the hopper 1, and sliding on the surface of the conveyor belt 4 through the chute 2; then the wheat is conveyed to a single grain guide groove 5 through a conveyor belt 4, because the grid plates which are arranged in a staggered manner are arranged in the single grain guide groove 5, the wheat which is adhered to the left and the right can be effectively separated, if the wheat which is adhered to the front and the back is provided, the grid plates can provide a blocking force for the wheat when passing through the second group of grid plates, so that the wheat falls into different channels, the wheat which is adhered to the front and the back is driven to be separated, and the wheat single grain is realized;
s2, continuously conveying the wheat grains to a shading box 6 by a conveyor belt after passing through the single grain guide groove 5, starting the linear array light source 8, collecting wheat images flowing through the shading box 6 by a linear array CMOS color camera 7 in real time, processing the wheat grains by an image collecting card 10, transmitting collected image information to a computer 12, and displaying a recognition result on a display screen 11 after being recognized by image software;
and S3, continuously transmitting the wheat subjected to image acquisition to a collection box 9 through a transmission belt 4.
The image software is specifically wheat appearance quality detection system software designed by combining C # programming language on the basis of Halcon software; the construction of image software is common knowledge known to those skilled in the art and is prior art.
The device is used for carrying out online appearance quality detection on 200 wheat grains, wherein 180 wheat grains are perfect, and 20 wheat grains are imperfect. In this example, a linear array CMOS color camera from Teledyne Dalsa, canada, model number: linea LA-CC-08K 05B; the Camerlink image acquisition card of Teledyne Dalsa of Canada has the following model: OR-Y4C0-XMX 00; the model of a linear array lens of Schneider company in France is as follows: Apo-Componon 4.0-6.0; the white highlight line scanning light source of great image company of China is the following model: DHK-LS 225F-HW. The width of an image shot by the camera is 200mm, the line frequency of the line camera is 1024Hz, and the exposure time is 320 ms.
After the camera is connected with the image acquisition card successfully, the system starts to operate; setting the moving speed of the conveyor belt to be 50 mm/s; wheat is put into a hopper 1, scattered on a conveyor belt 4 through a chute 2 and subjected to single grain through a single grain guide groove 5; carrying out image acquisition in a shading box 6, carrying out image software identification through a computer 12, and then carrying out identification operation on wheat perfect grains; and displaying the recognition result on a display screen 11, wherein the final output result is as follows: the recognition accuracy of the perfect grains of the wheat is 97.7 percent, and the recognition accuracy of the imperfect grains of the wheat is 95.23 percent.
Description of the drawings: the above embodiments are only used for illustrating the present invention and do not limit the technical solution described in the present invention; thus, although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted; all such modifications and variations are intended to be included herein within the scope of this disclosure and the present invention and within the scope and spirit of the following claims.
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| CN202022872784.0U CN214794500U (en) | 2020-12-03 | 2020-12-03 | Online detection device for wheat appearance quality |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112730417A (en) * | 2020-12-03 | 2021-04-30 | 江苏大学 | Online detection device for wheat appearance quality |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112730417A (en) * | 2020-12-03 | 2021-04-30 | 江苏大学 | Online detection device for wheat appearance quality |
| CN112730417B (en) * | 2020-12-03 | 2024-06-14 | 江苏大学 | Online detection device for appearance quality of wheat |
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