CN220804513U - Cereal detection system that mildenes and rot based on visual detection - Google Patents
Cereal detection system that mildenes and rot based on visual detection Download PDFInfo
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- CN220804513U CN220804513U CN202322585967.8U CN202322585967U CN220804513U CN 220804513 U CN220804513 U CN 220804513U CN 202322585967 U CN202322585967 U CN 202322585967U CN 220804513 U CN220804513 U CN 220804513U
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- mildew
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- 235000013339 cereals Nutrition 0.000 title claims abstract description 85
- 238000001514 detection method Methods 0.000 title claims abstract description 55
- 230000000007 visual effect Effects 0.000 title claims abstract description 27
- 230000007246 mechanism Effects 0.000 claims abstract description 71
- 238000007599 discharging Methods 0.000 claims abstract description 23
- 239000000463 material Substances 0.000 claims abstract description 16
- 238000007664 blowing Methods 0.000 claims abstract description 14
- 238000005303 weighing Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims description 7
- 238000011179 visual inspection Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 241000209094 Oryza Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 241000209140 Triticum Species 0.000 description 2
- 235000021307 Triticum Nutrition 0.000 description 2
- 238000002845 discoloration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 235000009566 rice Nutrition 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 101100408464 Caenorhabditis elegans plc-1 gene Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The utility model relates to the technical field of mildew detection devices, in particular to a cereal mildew detection system based on visual detection. The utility model comprises a rectangular machine box, a feeding mechanism positioned outside the machine box, a visual detection mechanism and a discharge mechanism positioned in the machine box, wherein the visual detection mechanism comprises a storage tank, an industrial camera and a light source positioned at one side of the storage tank, and an electric blowing nozzle positioned at the other side of the storage tank; the feeding mechanism comprises a feeding assembly line, and a feeding channel matched with the storage tank is arranged at the top of the case; the discharging mechanism comprises a discharging assembly line arranged along the edge of the storage tank, a weighing mechanism and a rotary auger are arranged in the discharging assembly line, and a material box is arranged at the bottom of the discharging assembly line; the material box is divided into a qualified area and a disqualified area, and the weighing mechanism is used for counting the proportion of qualified products and disqualified products. The utility model uses the transparent storage tank to match with the industrial camera for image acquisition, and the image is transmitted to the industrial personal computer for precise control on the PLC.
Description
Technical Field
The utility model relates to the technical field of mildew detection devices, in particular to a cereal mildew detection system based on visual detection.
Background
The grains are easy to mildew in the storage process, and huge losses are caused, wherein the quality of the grains and the environmental conditions of a storage warehouse are main reasons for the grains to mildew. Aiming at the phenomenon, a scientific and reasonable mildew-proof scheme should be formulated so as to effectively reduce the mildew probability of grains, and the current mildew detection and prevention detection scheme needs to be realized by means of a professional detection instrument, and the current detection technology comprises a machine vision technology, an electronic nose technology and a spectrum imaging technology.
For example, in chinese patent, the authorized bulletin number CN105784719a discloses a machine vision inspection terminal capable of classifying objects, the PC terminal is further connected with an image acquisition card, the image acquisition card is simultaneously connected with a workpiece detection positioner, a CCD camera and an LED light source, and a main conveyor belt is further arranged below the workpiece detection positioner, the CCD camera and the LED light source. But this scheme adopts the industrial computer to detect different work pieces to go out from different export, can not detect and handle the mould of cereal.
Disclosure of utility model
The utility model aims to solve the technical problems that: the defect of the prior art is overcome, and the grain mildew detection system based on visual detection is provided, the transparent storage tank is matched with an industrial camera to perform image acquisition, and the transparent storage tank is transmitted to an industrial personal computer to perform accurate control on a PLC; classifying and counting weight of the grains according to the qualified products and the unqualified products after the detection is finished; an electric blowing nozzle is arranged on the upper part of the storage tank, and a vibrating mechanism is arranged at the bottom of the storage tank.
The technical scheme of the utility model is as follows:
The utility model provides a cereal detecting system that mildenes and rot based on visual detection, includes the quick-witted case of rectangle to and be located the feed mechanism outside the quick-witted case, and be located the visual detection mechanism and the bin outlet mechanism of quick-witted incasement, wherein:
The visual detection mechanism comprises a storage tank, an industrial camera and a light source which are positioned at one side of the storage tank, and an electric blowing nozzle positioned at the other side of the storage tank; the grains positioned on the storage tank are blown by an electric blowing nozzle in the rotating process, and the images are acquired by an industrial camera;
The feeding mechanism comprises a feeding assembly line, the feeding assembly line extends from one side of the case to the top of the case, and a feeding channel matched with the storage tank is arranged at the top of the case; the grains enter the storage tank through the feeding channel;
The discharging mechanism comprises a discharging assembly line arranged along the edge of the storage tank, a weighing mechanism and a rotary auger are arranged in the discharging assembly line, and a material box is arranged at the bottom of the discharging assembly line; the material box is divided into a qualified area and a disqualified area, and the weighing mechanism is used for counting the proportion of qualified products and disqualified products.
According to the technical scheme, the visual detection mechanism special for detecting the mildew color of grains is arranged, the transparent storage tank is matched with the industrial camera to perform image acquisition, and the image acquisition is transmitted to the industrial personal computer to accurately control the PLC; randomly detecting grains in a plurality of taking points, and classifying and counting weights of the grains according to qualified products and unqualified products after the detection is finished, so as to obtain mildew degree of the grains; in order to make transparent grain on the storage tank disperse evenly, install electronic blowing mouth on storage tank upper portion, install the rapping mechanism in the bottom of storage tank, through both combinations, the effect is better.
In some embodiments, the feeding assembly line is provided with a temperature sensor and a humidity sensor for predicting the mildew degree of grains in the granary.
In the technical scheme, besides adopting the visual detection device to detect the mildew degree by utilizing the image, the temperature sensor and the humidity sensor can be used for estimating the environment of the granary, so that intervention is performed at the initial period of mildew.
In some embodiments, the loading assembly line is configured to take material from the grain bin through a plurality of movable take-out points, and a hose is disposed between the take-out points and the loading assembly line.
In the technical scheme, the hose is utilized to randomly select the material taking points at different positions, so that the mildew degree of grains is estimated to a greater extent; the material taking point is provided with a spiral auger for conveying grains to a feeding assembly line.
In some embodiments, the storage tank is a transparent disc, a servo motor and a vibrating mechanism are arranged at the lower part of the storage tank, and the storage tank is driven by the servo motor to rotate; the light source is arranged at the bottom of the storage tank and is arranged upwards, and the industrial camera is positioned at the top of the storage tank.
In the technical scheme, the light source can be used for rapidly distinguishing whether the grains are mildewed or not, so that the identification efficiency of the industrial camera is improved; for example, when the wheat with yellow color and rice with white-like color are mildewed, the color of the grains becomes black or brown, and serious discoloration of grains indicates that the grains are mildewed to a deeper degree.
In some embodiments, the servo motor is arranged in the middle of the frame through a bracket, and the bracket is further provided with a mounting channel for fixing the discharge mechanism.
In the technical scheme, the bracket is used for fixing the servo motor on one hand and fixing the discharging mechanism on the other hand; the discharge mechanism is provided with a plurality of discharge ports, and the grains on the storage tank are cleaned and discharged by using the blower so as to be ready for subsequent visual detection.
In some embodiments, the industrial camera is connected with an industrial personal computer which is externally arranged outside the case, and the industrial personal computer receives images acquired by the industrial camera and drives the PLC to act; the industrial personal computer is connected with an external display.
In the technical scheme, the industrial personal computer is at least connected with one industrial camera, and simultaneously performs image processing and identification on a plurality of visual detection mechanisms, so that the detection efficiency is improved; and the data identified by the industrial personal computer is collected and arranged by using the display, so that the database is convenient to update, and the mildew images are classified and predicted.
In some embodiments, the industrial personal computer receives the collected images, compares and judges the mildew color of grains according to the data stored in the database, and distinguishes qualified products from unqualified products; after the grains in the discharging assembly line fall into the weighing mechanism, the grains are respectively conveyed to different qualified areas and unqualified areas through the rejecting mechanism.
In the technical scheme, the industrial personal computer distinguishes the recognized grains and avoids direct mixing; and separating grains falling into the discharging mechanism into different areas by utilizing the rejecting mechanism, enabling qualified products to enter the qualified area, and enabling unqualified products to enter the unqualified area.
Compared with the prior art, the utility model has the following beneficial effects:
(1) The transparent storage tank is matched with an industrial camera to collect images, and the images are transmitted to an industrial personal computer to accurately control a PLC;
(2) Randomly detecting grains in a plurality of taking points, and classifying and counting weights of the grains according to qualified products and unqualified products after the detection is finished, so as to obtain mildew degree of the grains;
(3) An electric blowing nozzle is arranged on the upper portion of the storage tank, and a vibrating mechanism is arranged at the bottom of the storage tank, so that the effect is better through combination of the electric blowing nozzle and the vibrating mechanism.
Drawings
In order to more clearly illustrate the embodiments of the present utility model or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a front view of the present utility model.
Fig. 2 is a top view of the present utility model.
Fig. 3 is a schematic structural view of the feeding mechanism.
Fig. 4 is a schematic block diagram of the present utility model.
In the figure: 1. a PLC controller; 2. an industrial camera; 3. a light source; 4. a storage tank; 5. a servo motor; 6. a discharging mechanism; 7. an electric blowing nozzle; 8. a weighing mechanism; 9. a rejecting mechanism; 10. a magazine; 11. a feeding mechanism; 12. an industrial personal computer; 13. a display.
Detailed Description
In order to make the technical solution of the present utility model better understood by those skilled in the art, the technical solution of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model, and it is apparent that the described embodiments are only some embodiments of the present utility model, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present utility model without making any inventive effort, shall fall within the scope of the present utility model.
Example 1
As shown in fig. 1, the present embodiment provides a grain mildew detection system based on visual detection, which includes a rectangular case, a feeding mechanism 11 located outside the case, and a visual detection mechanism and a discharge mechanism 6 located inside the case.
As shown in fig. 1 and 2, the visual detection mechanism comprises a storage tank 4, an industrial camera 2 and a light source 3 which are positioned on one side of the storage tank 4, and an electric blowing nozzle 7 positioned on the other side of the storage tank 4; the grains on the storage tank 4 are blown by the electric blowing nozzle 7 in the rotating process, and the images are acquired by the industrial camera 2;
As shown in fig. 3, the feeding mechanism 11 comprises a feeding assembly line, the feeding assembly line extends from one side of the case to the top of the case, and a feeding channel matched with the storage tank 4 is arranged at the top of the case; the grains enter the storage tank 4 through the feeding channel;
As shown in fig. 1, the discharging mechanism 6 comprises a discharging assembly line arranged along the edge of the storage tank 4, wherein a weighing mechanism 8 and a rotary auger are arranged in the discharging assembly line, and a material box 10 is arranged at the bottom of the discharging assembly line; the magazine 10 is divided into a pass zone and a fail zone, and the weighing mechanism 8 is used for counting the proportion of pass and fail.
According to the technical scheme, a visual detection mechanism special for detecting the mildew color of grains is arranged, a transparent storage tank 4 is used for carrying out image acquisition in cooperation with an industrial camera 2, and the images are transmitted to an industrial personal computer 12 and then accurately controlled to a PLC (programmable logic controller) 1; randomly detecting grains in a plurality of taking points, and classifying and counting weights of the grains according to qualified products and unqualified products after the detection is finished, so as to obtain mildew degree of the grains; in order to make transparent storage tank 4 go up cereal dispersion even, install electronic blowing mouth 7 on storage tank 4 upper portion, install the rapping mechanism in the bottom of storage tank 4, through both combinations, the effect is better.
As shown in FIG. 1, the feeding assembly line is provided with a temperature sensor and a humidity sensor for predicting the mildew degree of grains in the granary, and besides the visual detection device for detecting the mildew degree by using images, the temperature sensor and the humidity sensor can be used for predicting the environment of the granary, so that intervention is performed at the initial mildew stage.
As shown in fig. 1, the feeding assembly line performs material taking on the grain bin through a plurality of movable material taking points, a hose is arranged between the material taking points and the feeding assembly line, and the hose is used for randomly selecting the material taking points at different positions, so that the mildew degree of grains is estimated to a greater extent; the material taking point is provided with a spiral auger for conveying grains to a feeding assembly line.
As shown in fig. 1 and 2, the storage tank 4 is a transparent disc, a servo motor 5 and a vibrating mechanism are arranged at the lower part of the storage tank 4, and the storage tank 4 rotates under the drive of the servo motor 5; the light source 3 is arranged at the bottom of the storage tank 4 and faces upwards, the industrial camera 2 is positioned at the top of the storage tank 4, the condition that whether grains are mildewed or not can be rapidly distinguished by utilizing the light source 3, and the identification efficiency of the industrial camera 2 is improved; for example, when the wheat with yellow color and rice with white-like color are mildewed, the color of the grains becomes black or brown, and serious discoloration of grains indicates that the grains are mildewed to a deeper degree.
As shown in fig. 1 and 2, the servo motor 5 is arranged in the middle of the frame through a bracket, and the bracket is also provided with a mounting channel for fixing the discharge mechanism 6, and is used for fixing the servo motor 5 on one hand and the discharge mechanism 6 on the other hand; the discharge mechanism 6 is provided with a plurality of discharge ports, and the grains on the storage tank 4 are cleaned and discharged by a blower so as to be ready for subsequent visual inspection.
As shown in fig. 4, the industrial camera 2 is connected with an industrial personal computer 12 which is externally arranged outside the chassis, and the industrial personal computer 12 receives images acquired by the industrial camera 2 and drives the PLC controller 1 to act; the industrial personal computer 12 is connected with an external display 13, and the industrial personal computer 12 is at least connected with one industrial camera 2 and performs image processing and identification on a plurality of visual detection mechanisms, so that the detection efficiency is improved; the data identified by the industrial personal computer 12 is collected and arranged by the display 13, so that the database is conveniently updated, and the mildewed images are classified and predicted.
As shown in fig. 4, the industrial personal computer 12 receives the collected images, and compares and judges the mildew color of grains according to the data stored in the database, so as to distinguish the qualified products from the unqualified products; after grains in the discharging assembly line fall into the weighing mechanism 8, the grains are respectively conveyed to different qualified areas and unqualified areas through the rejecting mechanism 9, and the industrial personal computer 12 is used for distinguishing the recognized grains so as to avoid direct mixing; the grains falling into the discharging mechanism 6 are separated into different areas by the rejecting mechanism 9, qualified products enter the qualified area, and unqualified products enter the unqualified area.
The use process of the above embodiment is as follows:
The feeding mechanism 11 is connected to a material taking point of the granary by a hose, randomly selects grains in the granary, and conveys the grains to the storage tank 4 by a spiral auger; the servo motor 5 at the bottom of the storage tank 4 drives grains to rotate, and in the rotating process, the grains are blown by the electric blowing nozzle 7 and are vibrated by combining with the vibrating mechanism at the bottom of the storage tank 4, so that the piled grains are dispersed; at this time, the light source 3 at the bottom of the transparent storage tank 4 is used for supplementing light, the industrial camera 2 at the top of the storage tank 4 is used for collecting images, the finally collected images contain the mildew degree of grains, and the industrial personal computer 12 is used for identifying the colors on the images, so that whether the grains are qualified or not or whether the unqualified grains are obtained after mildew are judged; after the mildew degree is identified, the industrial personal computer 12 drives the PLC to control, the PLC 1 sucks grains into the blanking mechanism by using the blower, the blanking mechanism weighs the grains and rejects the mildewed grains, so that different qualified products and unqualified products are distinguished, and the grains are prevented from being mixed together. The whole detection process is simple and efficient, and the temperature sensor and the humidity sensor in the feeding mechanism 11 are combined, so that the mildew degree of grains can be predicted, the early intervention is performed, and the storage safety of the whole granary is improved.
Although the present utility model has been described in detail by way of preferred embodiments with reference to the accompanying drawings, the present utility model is not limited thereto. Various equivalent modifications and substitutions may be made in the embodiments of the present utility model by those skilled in the art without departing from the spirit and scope of the present utility model, and it is intended that all such modifications and substitutions be within the scope of the present utility model/be within the scope of the present utility model as defined by the appended claims. Therefore, the protection scope of the present utility model shall be subject to the protection scope of the claims.
Claims (7)
1. Cereal detection system that mildenes and rot based on visual detection, characterized in that includes the quick-witted case of rectangle to and be located the feed mechanism (11) outside the quick-witted case, and be located the visual detection mechanism and the bin outlet mechanism (6) of quick-witted incasement, wherein:
The visual detection mechanism comprises a storage tank (4), an industrial camera (2) and a light source (3) which are positioned at one side of the storage tank (4), and an electric blowing nozzle (7) positioned at the other side of the storage tank (4); the grains positioned on the storage tank (4) are blown by an electric blowing nozzle (7) in the rotating process, and the images are acquired by an industrial camera (2);
The feeding mechanism (11) comprises a feeding assembly line, the feeding assembly line extends from one side of the case to the top of the case, and a feeding channel matched with the storage tank (4) is arranged at the top of the case; the grains enter a storage tank (4) through a feeding channel;
the discharging mechanism (6) comprises a discharging assembly line arranged along the edge of the storage tank (4), a weighing mechanism (8) and a rotary auger are arranged in the discharging assembly line, and a material box (10) is arranged at the bottom of the discharging assembly line; the material box (10) is divided into a qualified area and a disqualified area, and the weighing mechanism (8) is used for counting the proportion of qualified products and disqualified products.
2. The grain mildew detection system based on visual detection of claim 1, wherein the feeding assembly line is provided with a temperature sensor and a humidity sensor for predicting the mildew degree of grains in the granary.
3. The vision-based grain mildew detection system according to claim 1 or 2, wherein the loading line takes the grain bin through a plurality of movable take-out points, and a hose is arranged between the take-out points and the loading line.
4. The grain mildew detection system based on visual detection according to claim 1, wherein the storage tank (4) is a transparent disc, a servo motor (5) and a vibrating mechanism are arranged at the lower part of the storage tank (4), and the storage tank (4) rotates under the drive of the servo motor (5); the light source (3) is arranged at the bottom of the storage tank (4) and is arranged upwards, and the industrial camera (2) is positioned at the top of the storage tank (4).
5. The grain mildew detection system based on visual detection according to claim 4, wherein the servo motor (5) is arranged in the middle of the frame through a bracket, and the bracket is further provided with a mounting channel for fixing the discharge mechanism (6).
6. The grain mildew detection system based on visual detection according to claim 1, wherein the industrial camera (2) is connected with an industrial control computer (12) arranged outside the machine box, and the industrial control computer (12) receives images acquired by the industrial camera (2) and drives the PLC (1) to act; the industrial personal computer (12) is connected with an external display (13).
7. The grain mildew detection system based on visual inspection according to claim 6, wherein the industrial personal computer (12) receives the collected images and compares and judges the color of grain mildew according to the data stored in the database, and distinguishes between acceptable products and unacceptable products; after the grains in the discharging assembly line fall into the weighing mechanism (8), the grains are respectively conveyed to different qualified areas and unqualified areas through the rejecting mechanism (9).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322585967.8U CN220804513U (en) | 2023-09-22 | 2023-09-22 | Cereal detection system that mildenes and rot based on visual detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322585967.8U CN220804513U (en) | 2023-09-22 | 2023-09-22 | Cereal detection system that mildenes and rot based on visual detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220804513U true CN220804513U (en) | 2024-04-19 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202322585967.8U Active CN220804513U (en) | 2023-09-22 | 2023-09-22 | Cereal detection system that mildenes and rot based on visual detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220804513U (en) |
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2023
- 2023-09-22 CN CN202322585967.8U patent/CN220804513U/en active Active
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