CN117589633A - Grain impurity detection device and method - Google Patents
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- 238000007689 inspection Methods 0.000 abstract description 4
- 235000013339 cereals Nutrition 0.000 description 126
- 239000004744 fabric Substances 0.000 description 4
- 238000005070 sampling Methods 0.000 description 4
- 235000020985 whole grains Nutrition 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
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- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
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Abstract
The application relates to the technical field of grain detection, discloses a grain impurity detection device and method, and aims at solving the problem that the accuracy is poor in the existing grain impurity detection mode, and the scheme mainly comprises: the filtering component filters first impurities in grains flowing above the filtering component by means of grain gravity; the first weight sensor detects the first weight of the grains which are filtered by the first impurities above the filtering component in real time; the impurity collecting component collects the first impurities filtered below the filtering component; the second weight sensor detects a second weight of the first impurity in real time; the image collector collects sample images of grains subjected to first impurity filtering above the filtering component in real time; the controller determines a third weight of the second impurity in the grain according to the sample image, and determines an impurity rate of the grain according to the first weight, the second weight and the third weight. The method reduces the labor intensity of field detection personnel, improves the accuracy of grain impurity content detection, and is suitable for grain quality inspection.
Description
Technical Field
The application relates to the technical field of grain detection, in particular to a grain impurity detection device and method.
Background
Grain quality inspection is the first threshold before grain warehouse entry, and accurate judgment of grain quality is a precondition for ensuring grain storage safety and scientific management. The impurity content is an important index for evaluating grain quality, and can directly influence the purchase price of grains and whether the purchase condition is satisfied.
The traditional impurity detection method generally adopts a fixed-point sampling detection mode, namely, a part of grains in a batch of grains are extracted at fixed points to form a grain sample, then all single grains in the grain sample are inspected one by one, and then the impurity content of the batch of grains is judged according to the inspection result of the grain sample. The method is complex in operation flow, time-consuming and labor-consuming, and the impurity level of the whole grain cannot be accurately estimated by the measurement result due to the fact that the impurity distribution is not uniform and the influence of sampling positions and other factors.
Disclosure of Invention
The application aims to solve the problems of time and labor waste and poor accuracy of the existing grain impurity detection mode, and provides another grain impurity detection device and method.
The technical scheme adopted for solving the technical problems is as follows:
in a first aspect, the present application provides a grain impurity detection apparatus, the apparatus comprising:
the filtering component is used for filtering the first impurities in the grain flowing above the filtering component by means of grain gravity;
the first weight sensor is used for detecting the first weight of the grains which are filtered by the first impurities above the filtering component in real time;
an impurity collecting unit for collecting the first impurities filtered below the filtering unit;
a second weight sensor for detecting a second weight of the first impurity filtered by the filtering part in real time;
the image collector is used for collecting sample images of grains subjected to first impurity filtering above the filtering component in real time;
and the controller is used for determining a third weight of the second impurity in the grain according to the sample image and determining the impurity rate of the grain according to the first weight, the second weight and the third weight.
Further, the filter component comprises a support frame and a screen obliquely arranged on the support frame, and the first weight sensor is arranged below the support frame.
Further, the impurity collecting unit is arranged below the screen and is suspended and fixed in the bracket, and the second weight sensor is arranged below the impurity collecting unit.
Further, determining a third weight of the second impurity in the grain according to the sample image specifically comprises:
identifying grain images and impurity images in the sample images according to a pre-trained impurity identification model;
determining a first pixel area of an area formed by grain contours in a sample image, and determining a second pixel area of an area formed by impurity contours in each impurity image respectively;
and determining a third weight of the second impurity in the grain according to the first weight, the first pixel area and the second pixel area.
Further, determining a third weight of the second impurity in the grain according to the first weight, the first pixel area and the second pixel area specifically comprises:
determining a first pixel area of all grain images and a second pixel area of all impurity images in the sample image, and determining a sum of the first pixel area and the second pixel area;
determining the mass ratio of the second impurity in the grain according to the ratio of the first pixel area and the sum of the pixel areas;
and determining a third weight of the second impurities in the grains according to the first weight and the mass ratio.
Further, the impurity rate is calculated as follows:
；
wherein,indicating impurity rate,/->Indicating the first weight, ++>Representing the second weight, ++>Representing a third weight.
In a second aspect, the present application provides a method for detecting grain impurities, the method comprising:
filtering first impurities in the grains flowing above the filtering component by means of grain gravity, and detecting the first weight of the grains above the filtering component after the first impurities are filtered in real time;
collecting the first impurities filtered below the filtering component through the impurity collecting component, and detecting the second weight of the first impurities filtered by the filtering component in real time;
and collecting sample images of grains subjected to first impurity filtering above the filtering component in real time, determining a third weight of second impurities in the grains according to the sample images, and determining the impurity rate of the grains according to the first weight, the second weight and the third weight.
Further, determining a third weight of the second impurity in the grain according to the sample image specifically comprises:
identifying grain images and impurity images in the sample images according to a pre-trained impurity identification model;
determining a first pixel area of an area formed by grain contours in a sample image, and determining a second pixel area of an area formed by impurity contours in each impurity image respectively;
and determining a third weight of the second impurity in the grain according to the first weight, the first pixel area and the second pixel area.
Further, determining a third weight of the second impurity in the grain according to the first weight, the first pixel area and the second pixel area specifically comprises:
determining a first pixel area of all grain images and a second pixel area of all impurity images in the sample image, and determining a sum of the first pixel area and the second pixel area;
determining the mass ratio of the second impurity in the grain according to the ratio of the first pixel area and the sum of the pixel areas;
and determining a third weight of the second impurities in the grains according to the first weight and the mass ratio.
Further, the impurity rate is calculated as follows:
；
wherein,indicating impurity rate,/->Indicating the first weight, ++>Representing the second weight, ++>Representing a third weight.
The beneficial effects of this application are: the application provides a grain impurity detection device and method, when grain flows in filtering component top, can automated inspection first impurity and the weight of second impurity in the grain, through the weight of first impurity and second impurity and the total weight of grain that contains the impurity, can confirm the impurity content of grain, this application can real-time on-line measuring impurity content in the grain, can greatly reduce on-the-spot detection personnel intensity of labour to can carry out more accurate aassessment to the impurity content of whole grain.
Drawings
Fig. 1 is a schematic structural diagram of a grain impurity detecting device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a method for detecting grain impurities according to an embodiment of the present application;
reference numerals illustrate:
11-supporting frames and 12-screens; 2-a first weight sensor; 3-an impurity collecting unit; 4-a second weight sensor; 5-image collector.
Detailed Description
In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.
In some of the flows described in the specification of this application and the figures described above, a number of operations are included that occur in a particular order, but it should be understood that the operations may be performed out of order or concurrently, and that the sequence numbers of the operations are merely used to distinguish between the various operations and the sequence numbers themselves do not represent any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.
The technical scheme of the embodiment of the application is suitable for application scenes in which the impurity content of grains is required to be detected, such as rice grains, wheat grains, bean grains or coarse grain grains.
The impurity content of the grain is basically detected by sampling, so that the mode is complex in operation flow, time-consuming and labor-consuming, and the impurity content of the grain is poorer in accuracy due to the fact that the impurity distribution is not uniform and the sampling position is influenced by the like.
Based on the above, the technical scheme of the application is provided, in the embodiment of the application, the first impurities in the grain flowing above the filtering component are filtered by means of the grain gravity, and the first weight of the grain above the filtering component after the first impurities are filtered is detected in real time by the first weight sensor; collecting the first impurities filtered below the filtering component through the impurity collecting component, and detecting the second weight of the first impurities filtered by the filtering component in real time through the second weight sensor; and acquiring sample images of grains subjected to first impurity filtering above the filtering component in real time through an image acquisition device, determining a third weight of second impurities in the grains according to the sample images through a controller, and determining the impurity rate of the grains according to the first weight, the second weight and the third weight.
Specifically, under the action of grain gravity, grain flows above the filter element, first impurities in grain are filtered to the lower part of the filter element, the first impurities are collected by the impurity collecting element and are weighed through the second weight sensor to obtain second weight of the first impurities, wherein the first impurities are impurities which can be filtered by the screen, the grain and the second impurities are reserved above the filter element, the second impurities are impurities which cannot be filtered by the screen, the first weight of the grain and the second impurities is obtained by weighing through the first weight sensor, sample images are collected through the image collector, the controller performs image recognition on the collected sample images, the third weight of the second impurities is determined, and finally the impurity rate of the grain can be determined according to the first weight, the second weight and the third weight. When the automatic impurity content detection device is in practical application, detection personnel can automatically detect impurity content of flowing grains by only placing the grains above the filtering component at a certain flow, so that the real-time online detection of the impurity content of the grains is realized, the labor intensity of field detection personnel is reduced, and the accuracy of detecting the impurity content of the grains is improved.
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application.
Referring to fig. 1, the grain impurity detecting apparatus provided in the embodiment of the present application includes a filtering component, an impurity collecting component 3, a first weight sensor 2, a second weight sensor 4, an image collector 5, and a controller. The first weight sensor 2, the second weight sensor 4 and the image collector 5 are electrically connected with the controller.
In this embodiment, the filtering component is used for relying on grain gravity to carry out first impurity filtration to the grain that flows above it, and the filtering component can include support frame 11 and slope setting screen cloth 12 on the support frame, is provided with many apertures on the screen cloth 12 and is less than the sieve mesh of grain granule. The impurity collecting unit 3 is used for collecting first impurities filtered below the filtering unit, i.e., impurities that can be filtered by the screen, such as undersize and organic or inorganic impurities that can be filtered by the screen. The impurity collecting unit 3 is arranged below the screen 12 and is suspended and fixed in the supporting frame 11.
In the embodiment of the present application, the first weight sensor 2 is disposed below the supporting frame 11, and is used for detecting the first weight of the grains, that is, the total weight of the grains and the second impurities, after the first impurities are filtered above the filtering component in real time, and sending the first weight to the controller. The second weight sensor 4 is disposed below the impurity collecting unit 3 for detecting a second weight of the first impurity filtered by the filtering unit in real time and transmitting it to the controller. The image collector 5 is used for collecting the sample image of the grain above the filtering component after the first impurity filtering in real time and sending the sample image to the controller, and the image collector 5 can be a camera arranged above the screen 12.
Referring to fig. 2, based on the detection device, the method for detecting grain impurities provided in the embodiment of the present application includes the following steps:
step 201, filtering first impurities in grain flowing above the filtering component by means of grain gravity, and detecting the first weight of the grain above the filtering component after the first impurities are filtered in real time;
during practical application, a detector places grains above the filtering component at a certain flow, and when grains flow through the inclined screen under the action of gravity, the first impurities in the grains are filtered through the screen. The grain after filtering still is located the screen cloth top, detects first weight through the first weight sensor of support frame below and sends it to the controller this moment, and first weight is the grain weight after filtering, probably contains the second impurity in the grain after filtering, can not be by the impurity of screen cloth filtration promptly.
Step 202, collecting the first impurities filtered below the filtering component through the impurity collecting component, and detecting the second weight of the first impurities filtered by the filtering component in real time;
in the process of filtering grains through the screen, the first impurities fall into the impurity collecting component below the screen to be collected, and at the moment, the second weight, namely the weight of the first impurities filtered out by the screen, is detected by the second weight sensor below the impurity collecting component and sent to the controller.
And 203, collecting sample images of grains subjected to impurity filtration above the filtering component in real time, determining a third weight of second impurities in the grains according to the sample images, and determining the impurity rate of the grains according to the first weight, the second weight and the third weight.
An image collector arranged above the screen is used for collecting sample images of the filtered grains in real time and sending the sample images to the controller, wherein the sample images contain the grains and possibly second impurities, namely impurities which cannot be filtered by the screen, such as organic impurities or inorganic impurities which cannot be filtered by the screen.
The controller determines a third weight of the second impurity according to the received sample image, and specifically comprises the following steps:
step 2031, identifying grain images and impurity images in sample images according to a pre-trained impurity identification model;
in practical application, multiple second impurities of grains can be collected and collected in a grain-by-grain image mode, the obtained impurity images are subjected to image pretreatment and then serve as negative sample images, then multiple grain images are obtained, the obtained grain images are subjected to image pretreatment and then serve as positive sample images, finally, a deep learning model is trained according to the positive sample images and the negative sample images, and an impurity identification model is obtained. And inputting the sample image into a value impurity identification model, so that grains and second impurities in the sample image can be determined, and classification of the second impurities in the grains is realized.
Step 2032, determining a first pixel area of an area formed by the grain contour in the sample image, and determining a second pixel area of an area formed by the impurity contour in each impurity image;
in practical application, after determining the grain image and the impurity image, the corresponding pixel area can be determined according to the number of pixel points in the area formed by the outline of the target object in the image, the corresponding first pixel area is determined for the grain image, and the corresponding second pixel area is determined for the impurity image.
Step 2033, determining a third weight of the second impurity in the grain according to the first weight, the first pixel area, and the second pixel area.
In general, the larger the pixel area of the region formed by the outline of the target object in the single image, the heavier the corresponding target object. Based on this, in the embodiment of the present application, the second pixel area of the area formed by the outline of all the second impurities is determined first, then the sum of the pixel areas of all grains and the area formed by the outline of the second impurities is determined, and finally the mass ratio of the second impurities in the grains can be estimated according to the ratio of the second pixel area to the sum of the pixel areas and by combining the correlation coefficient, where the product of the first mass and the mass ratio is the third weight of the second impurities in the grains.
After the controller obtains the first weight, the second weight and the third weight, the impurity rate of the grain can be calculated and obtained, and the calculation formula is as follows:
；
wherein,indicating impurity rate,/->Indicating the first weight, ++>Representing the second weight, ++>Representing a third weight.
To sum up, the grain impurity detection apparatus and method provided in this application embodiment can automatically detect the weight of first impurity and second impurity in grain when the grain flows above the filtering component, and can determine the impurity content of grain through the weight of first impurity and second impurity and the total weight of grain containing impurity. When the automatic impurity content detection device is in practical application, detection personnel can automatically detect impurity content of flowing grains by only placing the grains above the filtering component at a certain flow, so that the real-time online detection of the impurity content of the grains is realized, the labor intensity of field detection personnel is reduced, and the accuracy of detecting the impurity content of the grains is improved.
Claims (10)
1. A grain impurity detection apparatus, the apparatus comprising:
the filtering component is used for filtering the first impurities in the grain flowing above the filtering component by means of grain gravity;
the first weight sensor is used for detecting the first weight of the grains which are filtered by the first impurities above the filtering component in real time;
an impurity collecting unit for collecting the first impurities filtered below the filtering unit;
a second weight sensor for detecting a second weight of the first impurity filtered by the filtering part in real time;
the image collector is used for collecting sample images of grains subjected to first impurity filtering above the filtering component in real time;
and the controller is used for determining a third weight of the second impurity in the grain according to the sample image and determining the impurity rate of the grain according to the first weight, the second weight and the third weight.
2. The grain impurity detecting apparatus according to claim 1, wherein the filtering means comprises a supporting frame and a screen provided obliquely on the supporting frame, and the first weight sensor is provided below the supporting frame.
3. The grain impurity detecting apparatus according to claim 2, wherein the impurity collecting unit is disposed below the screen and is suspended and fixed in the bracket, and the second weight sensor is disposed below the impurity collecting unit.
4. The grain impurity detection apparatus according to claim 1, wherein determining a third weight of the second impurity in the grain from the sample image specifically comprises:
identifying grain images and impurity images in the sample images according to a pre-trained impurity identification model;
determining a first pixel area of an area formed by grain contours in a sample image, and determining a second pixel area of an area formed by impurity contours in each impurity image respectively;
and determining a third weight of the second impurity in the grain according to the first weight, the first pixel area and the second pixel area.
5. The grain impurity detection apparatus according to claim 4, wherein determining a third weight of the second impurity in the grain based on the first weight, the first pixel area, and the second pixel area, comprises:
determining a first pixel area of all grain images and a second pixel area of all impurity images in the sample image, and determining a sum of the first pixel area and the second pixel area;
determining the mass ratio of the second impurity in the grain according to the ratio of the first pixel area and the sum of the pixel areas;
and determining a third weight of the second impurities in the grains according to the first weight and the mass ratio.
6. The grain impurity detecting apparatus according to claim 1, wherein the impurity rate is calculated as follows:
；
wherein,indicating impurity rate,/->Indicating the first weight, ++>Representing the second weight, ++>Representing a third weight.
7. A method for detecting grain impurities, the method comprising:
filtering first impurities in the grains flowing above the filtering component by means of grain gravity, and detecting the first weight of the grains above the filtering component after the first impurities are filtered in real time;
collecting the first impurities filtered below the filtering component through the impurity collecting component, and detecting the second weight of the first impurities filtered by the filtering component in real time;
and collecting sample images of grains subjected to first impurity filtering above the filtering component in real time, determining a third weight of second impurities in the grains according to the sample images, and determining the impurity rate of the grains according to the first weight, the second weight and the third weight.
8. The method for detecting grain impurities according to claim 7, wherein determining the third weight of the second impurities in the grain from the sample image comprises:
identifying grain images and impurity images in the sample images according to a pre-trained impurity identification model;
determining a first pixel area of an area formed by grain contours in a sample image, and determining a second pixel area of an area formed by impurity contours in each impurity image respectively;
and determining a third weight of the second impurity in the grain according to the first weight, the first pixel area and the second pixel area.
9. The grain impurity detection method according to claim 8, wherein determining a third weight of the second impurity in the grain based on the first weight, the first pixel area, and the second pixel area, specifically comprises:
determining a first pixel area of all grain images and a second pixel area of all impurity images in the sample image, and determining a sum of the first pixel area and the second pixel area;
determining the mass ratio of the second impurity in the grain according to the ratio of the first pixel area and the sum of the pixel areas;
and determining a third weight of the second impurities in the grains according to the first weight and the mass ratio.
10. The method for detecting grain impurities according to claim 7, wherein the impurity rate is calculated as follows:
；
wherein,indicating impurity rate,/->Indicating the first weight, ++>Representing the second weight, ++>Representing a third weight.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117842727A (en) * | 2024-03-05 | 2024-04-09 | 中储粮成都储藏研究院有限公司 | Grain cleaning and warehousing integrated equipment for horizontal warehouse |
| CN117864707A (en) * | 2024-03-11 | 2024-04-12 | 中储粮成都储藏研究院有限公司 | Grain flow detection device and method |
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