Quality sorting method based on screening machine

Abstract

The invention relates to the technical field of material sorting, in particular to a quality sorting method based on a screening machine, which comprises the following steps: materials to be sorted are guided into a vibrating disk through a feeding bin so as to move the materials to be sorted to an edge area of the vibrating disk; an arraying mechanism is controlled to convey the to-be-sorted materials in the edge area to an optical glass disc along a conveying channel; acquiring an image of a to-be-sorted material on the optical glass disc so as to test image acquisition; according to the difference quantity of the gray levels of the images of the to-be-sorted materials, the collection accuracy of optical characteristics is judged; images of the to-be-sorted materials are obtained according to an accuracy adjustment mode; determining the quality type of the to-be-sorted material according to the image of the to-be-sorted material; the to-be-sorted materials of the quality types are sorted and conveyed into corresponding sorting bins in the screening machine; according to the material sorting device, the material sorting accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of material sorting, and in particular to a quality sorting method based on a screening machine. Background Art

[0002] In many fields such as modern industrial production, agricultural processing and resource recycling, efficient and accurate quality sorting of materials has become a core link to ensure product quality, optimize production processes and improve resource utilization. The development of its background technology is driven by many factors and continues to innovate with the advancement of science and technology. Modern industrial synthetic materials and new agricultural products are emerging in an endless stream, and the composition, structure and performance of materials are complex and changeable. New composite materials integrate a variety of substances, and the proportion and distribution of each component affect the quality; special agricultural products are hybridized and genetically improved, and the relationship between appearance and intrinsic quality is no longer intuitive. Traditional identification and sorting based on fixed physical features is difficult to perform, and there is an urgent need for sorting technology that can deeply analyze the complex characteristics of materials. Optical sensors are booming, and high-resolution cameras have jumped from megapixels to tens of millions of pixels or even higher, with precision optical lenses to capture the subtle texture and color gradient of materials. The integration of mechanical, electrical and software technologies in multiple fields creates an integrated quality sorting system. Mechanical structure optimization enables multi-modal sorting actions; electrical control precisely coordinates the operation of sensors and actuators; the software platform integrates image recognition, data processing, and equipment monitoring functions, allowing operators to conveniently adjust sorting parameters, view real-time data and sorting results through the human-machine interface, thus enabling quality sorting to transform from isolated equipment to an intelligent integrated system.

[0003] Chinese patent publication number CN116984262A discloses a fruit appearance quality grading method and automatic sorting device based on machine vision, including: a fruit conveying component, a visual detection component and a fruit sorting component; the fruit conveying component conveys the fruit to be sorted to the fruit sorting component, and during the conveying process, the visual detection component collects the appearance images of the upper and lower parts of the fruit to be sorted from the top and bottom directions. The method crops the target area of ​​the image and extracts the feature points of the image; then, each image is grid-divided, and the last row of the appearance image of the upper half of the fruit is matched with the feature points in the first row of the appearance image of the lower half of the fruit corresponding to the grid to obtain a number of feature point pairs, and the feature point pairs are screened, and the two images are spliced ​​according to the screened feature point pairs; finally, the appearance defects are identified according to the spliced ​​images, the HSV chromaticity value and the maximum fruit diameter are calculated, and the classification is performed according to the detection results and the calculation results. It can be seen that the automatic sorting device of the invention has the problem that the sorting results do not meet the requirements due to dark light or impurities in the background. Summary of the invention

[0004] To this end, the present invention provides a quality sorting method based on a screening machine to overcome the problem in the prior art that the sorting results do not meet the requirements due to dim light or impurities in the background.

[0005] To achieve the above object, the present invention provides a quality sorting method based on a screening machine, comprising:

[0006] Introducing the material to be sorted into the vibrating plate through the feed bin to move the material to be sorted to the edge area of ​​the vibrating plate;

[0007] Controlling the aligning mechanism to transport the materials to be sorted in the edge area along the conveying channel to the optical glass plate;

[0008] Acquiring an image of the material to be sorted on the optical glass plate to test image acquisition;

[0009] Determining the accuracy of optical feature acquisition according to the grayscale difference of the image of the material to be sorted;

[0010] Determining the accuracy adjustment method according to the acquisition accuracy, including adjusting the brightness of the light source that meets the preset interval time condition,

[0011] Or, determining the operation stability of the screening machine according to the ghost image area of ​​the image of the material to be sorted, and determining the stability adjustment method according to the operation stability;

[0012] The stability adjustment method includes adjusting the rotation speed of the optical glass plate, or adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine;

[0013] Acquire the image of the material to be sorted according to the accuracy adjustment method;

[0014] Determining the quality type of the material to be sorted according to the image of the material to be sorted;

[0015] Sorting and conveying the materials to be sorted of the quality type to the corresponding sorting bins in the screening machine;

[0016] The preset interval time condition is that the interval time between the moment when the optical glass disk is cleaned and the moment when image acquisition is started is less than the preset interval time.

[0017] Furthermore, judging the accuracy of collecting optical features according to the difference in grayscale of the image of the material to be sorted includes:

[0018] Obtaining grayscale values ​​of several sampling points of the image of the material to be sorted;

[0019] Calculating the difference in the grayscale of the image according to the grayscale values ​​of the plurality of sampling points;

[0020] Comparing the grayscale difference of the image with a preset first grayscale difference;

[0021] If the grayscale difference of the image is greater than the preset first grayscale difference, it is determined that the acquisition accuracy of the optical feature does not meet the requirement;

[0022] If the difference in the grayscale of the image is less than or equal to the preset first grayscale difference, it is determined that the accuracy of collecting the optical features meets the requirements.

[0023] Further, adjusting the brightness of the light source that meets the preset interval time condition includes,

[0024] The grayscale difference of the image is further compared with a preset second grayscale difference;

[0025] If the difference in the grayscale of the image is greater than the preset second grayscale difference, the brightness of the light source that meets the preset interval time condition is increased.

[0026] Furthermore, the brightness of the light source is positively correlated with the difference in grayscale of the image.

[0027] Furthermore, the preset first grayscale difference amount is smaller than the preset second grayscale difference amount.

[0028] Further, the operation stability of the screening machine is determined according to the ghost image area of ​​the image of the material to be sorted, including:

[0029] Determine the ghost area according to the image of the material to be sorted;

[0030] Comparing the ghost area with a preset first area and a preset second area respectively;

[0031] If the ghost area is larger than the preset first area, it is determined that the operating stability of the screening machine does not meet the requirements.

[0032] Furthermore, if the ghost area is larger than the preset second area, the rotation speed of the optical glass disk is reduced.

[0033] Wherein, the rotation speed of the optical glass disk is negatively correlated with the ghost area.

[0034] Further, adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine includes:

[0035] If the ghost area is larger than the preset first area and smaller than or equal to the preset second area, it is preliminarily determined that the vibration impact degree of the screening machine does not meet the requirements, and the vibration intensity of the screening machine is obtained;

[0036] comparing the vibration intensity of the screening machine with a preset vibration intensity;

[0037] If the vibration intensity of the screening machine is greater than the preset vibration intensity, the continuous shooting frequency of the camera is increased.

[0038] Furthermore, the increased continuous shooting frequency of the camera is determined by the difference between the screening machine and the preset vibration intensity.

[0039] Furthermore, the determining the quality type of the material to be sorted according to the image of the material to be sorted includes:

[0040] Acquire images of a plurality of materials to be sorted acquired by a plurality of cameras;

[0041] Analyzing the images of the plurality of materials to be sorted to identify the range of color information of the materials to be sorted;

[0042] The range of the color information is compared with the color information in the database to determine the quality type of the material to be sorted.

[0043] Compared with the prior art, the beneficial effect of the present invention lies in that, by setting and adjusting the brightness of the light source to meet the preset interval time, when the interval time between the optical glass plate cleaning completion time and the image acquisition start time is too short, the moisture in the glass plate cleaning process may be dissipated into the air and drive part of the polluted dust to pollute the camera lens. Therefore, by increasing the brightness of the light source, the moisture is affected by the heat of the light source before reaching the lens and moves to a place outside the lens, thereby reducing the interference of the glass plate cleaning process on the accuracy of image acquisition; by setting and adjusting the rotation speed of the optical glass plate, the influence of ghosting of the collected material image caused by the excessive rotation speed of the optical glass plate is reduced; by setting and adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine, when the screening machine vibrates due to high-speed operation, resulting in ghosting of the collected image of the material to be sorted, the continuous shooting frequency of the camera is increased, thereby increasing the probability of the camera acquiring the real image, thereby reducing the influence of inaccurate image feature acquisition caused by the vibration of the screening machine, and achieving the improvement of the sorting accuracy and stability of the material.

[0044] Furthermore, the sorting method of the present invention sets a preset first grayscale difference amount and a preset second grayscale difference amount to accurately judge the factors in different intervals that cause the optical feature acquisition accuracy to not meet the requirements, thereby achieving accurate judgment of the acquisition accuracy and further improving the quality sorting accuracy.

[0045] Furthermore, the method of the present invention adjusts the brightness of the light source that meets the preset interval time condition to overcome the fact that some moisture on the optical glass plate after cleaning may carry dust in the air into the lens of the camera. Therefore, by increasing the brightness to reduce the possibility of this dust or moisture entering the camera, the accuracy of image acquisition is improved, and the accuracy of material sorting is further improved.

[0046] Furthermore, the method of the present invention sets a preset first area and a preset second area. When the vibration of the screening machine exceeds the allowable range, the interference caused by the vibration can be overcome by increasing the continuous shooting frequency of the camera, thereby improving the accuracy of image acquisition of the material, thereby further improving the accuracy of material sorting. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is an overall flow chart of the quality sorting method based on the screening machine according to an embodiment of the present invention;

[0048] Figure 2 A specific flow chart of a quality sorting method based on a screening machine according to an embodiment of the present invention for judging the accuracy of collecting optical features according to the difference in the grayscale of the image of the material to be sorted;

[0049] Figure 3 A specific flow chart of adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine in a quality sorting method based on the screening machine according to an embodiment of the present invention;

[0050] Figure 4 It is a structural schematic diagram of a screening machine used in a quality sorting method based on a screening machine according to an embodiment of the present invention;

[0051] Description of the drawings: 1-feeding bin, 2-aligning mechanism, 3-sub-bin, 4-light source, 5-camera, 6-optical glass plate, 7-material flow sensor, 8-vibration plate. DETAILED DESCRIPTION

[0052] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0054] It will be understood by those skilled in the art that, unless otherwise stated, the singular forms "a", "an" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in this specification refers to the presence of features, integers, steps, operations, elements / components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements / components. It should be understood that when we refer to a module as being "connected" or "coupled" to another module, it may be directly connected or coupled to the other module, or there may be an intermediate unit. In addition, "connected" or "coupled" used herein may include wireless connection or wireless coupling.

[0055] See also Figure 1 , Figure 2 as well as Figure 3 As shown, they are respectively an overall flow chart of a quality sorting method based on a screening machine according to an embodiment of the present invention, a specific flow chart of judging the accuracy of collecting optical features according to the difference in the grayscale of the image of the material to be sorted, and a specific flow chart of adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine. A quality sorting method based on a screening machine according to an embodiment of the present invention comprises:

[0056] Introducing the material to be sorted into the vibrating plate through the feed bin to move the material to be sorted to the edge area of ​​the vibrating plate;

[0057] Controlling the aligning mechanism to transport the materials to be sorted in the edge area along the conveying channel to the optical glass plate;

[0058] Acquiring an image of the material to be sorted on the optical glass plate to test image acquisition;

[0059] Determining the accuracy of optical feature acquisition according to the grayscale difference of the image of the material to be sorted;

[0060] Determining the accuracy adjustment method according to the acquisition accuracy, including adjusting the brightness of the light source that meets the preset interval time condition,

[0061] Or, determining the operation stability of the screening machine according to the ghost image area of ​​the image of the material to be sorted, and determining the stability adjustment method according to the operation stability;

[0062] The stability adjustment method includes adjusting the rotation speed of the optical glass plate, or adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine;

[0063] Acquire the image of the material to be sorted according to the accuracy adjustment method;

[0064] Determining the quality type of the material to be sorted according to the image of the material to be sorted;

[0065] Sorting and conveying the materials to be sorted of the quality type to the corresponding sorting bins in the screening machine;

[0066] The preset interval time condition is that the interval time between the moment when the optical glass disk is cleaned and the moment when image acquisition is started is less than the preset interval time.

[0067] Specifically, the screening machine includes:

[0068] Feed bin 1, used to provide a feeding location for materials to be sorted;

[0069] A vibration plate 8 is arranged below the feed bin 1 and is used to sort the materials to be sorted outputted from the feed bin 1 so as to sequentially allow the materials to be sorted to enter the arranging mechanism 2 along the edge of the vibration plate 8;

[0070] The aligning mechanism 2 is partially disposed below the vibrating plate 8 and is used to transport the materials to be sorted in the vibrating plate 8 to the optical glass plate 6;

[0071] An optical glass plate 6, which is arranged below the aligning mechanism 2, and is used to provide a place for optical inspection of materials;

[0072] A rotating motor connected to the optical glass plate 6 to drive the optical glass plate 6 to rotate;

[0073] An image acquisition mechanism, which is arranged above the optical glass plate 6 and is used to acquire images of the materials to be sorted on the optical glass plate 6, and includes a plurality of cameras 5 arranged around the optical glass;

[0074] A light source 4, which is arranged above the image acquisition and is used to provide the brightness required for optical detection;

[0075] A material flow sensor 7, which is arranged at the output end of the aligning mechanism 2, and is used to detect the flow of the material output by the aligning mechanism 2;

[0076] A material distribution bin 3, part of which is arranged below the optical glass plate 6, for storing materials of corresponding quality types;

[0077] The vibration sensor is connected to the optical glass plate 6 and is used to detect the vibration intensity of the optical glass plate 6 .

[0078] A control component is respectively connected to the rotating motor, the image acquisition mechanism, the material flow sensor 7 and the light source 4, and is used to judge the acquisition accuracy of the optical feature according to the difference in the grayscale of the image of the material to be sorted; determine the accuracy adjustment method according to the acquisition accuracy, including adjusting the brightness of the light source 4 that meets the preset interval time condition, or determine the operation stability of the screening machine according to the ghosting area of ​​the image of the material to be sorted, and determine the stability adjustment method according to the operation stability, including adjusting the rotation speed of the optical glass plate 6,

[0079] Or, the continuous shooting frequency of the camera 5 is adjusted according to the vibration intensity of the screening machine.

[0080] Specifically, the aligning mechanism is arranged at an inclination with respect to the plane of the vibration disk and is biased toward the arrangement position of the optical glass disk.

[0081] Specifically, the alignment mechanism is usually composed of a base, vibration-damping pads, leaf springs, electromagnets, a hopper, a spiral track and directional mechanism, a feed trough, a controller and other components; among them, the base: provides a stable support foundation to ensure that the alignment mechanism does not shake or move during operation; the vibration-damping pads are used to reduce the impact of vibration on the surrounding environment while protecting the stability of the alignment mechanism; the leaf springs and electromagnets cooperate to produce regular vibrations to cause the materials to move accordingly in the hopper; the electromagnets cause the hopper to vibrate up and down and torsionally by periodically powering on and off; the hopper is used to store the materials to be screened, and its shape and size are determined according to the material characteristics and screening requirements; the spiral track and directional mechanism are used to guide the materials to move along a specific path and achieve directional arrangement of the materials.

[0082] The feed trough is used to transport the directionally arranged materials to the next process; the controller is used to adjust and control the working parameters of the entire mechanism, such as vibration frequency, amplitude, etc.

[0083] Specifically, the essential function of the aligning mechanism is to automatically and orderly arrange the disordered materials through the vibration and orienting mechanism, and accurately transport them to the next process.

[0084] Specifically, the specific internal structural relationship and operation mode of the entire mechanism are technical means well known to technical personnel in this field, so they will not be repeated here.

[0085] Specifically, each camera is of the same type.

[0086] Specifically, the grayscale difference of the image of the material to be sorted is the grayscale values ​​of several sampling points in several material images, and the difference and the average value are calculated respectively, that is, a single difference of a single sampling point is calculated between each material image and the next material image, and several sampling points are several differences. The ratio of the sum of several difference amounts to the total number of sampling points in a single material image is calculated to obtain the grayscale difference of the image of the material to be sorted.

[0087] Specifically, the light source is an RGB3D stereoscopic analysis light source.

[0088] Specifically, the ghost area of ​​the image of the material to be sorted is obtained through a camera.

[0089] In implementation, the method of the present invention adjusts the brightness of the light source to meet the preset interval time. When the interval time between the completion of optical glass plate cleaning and the start of image acquisition is too short, the moisture in the glass plate cleaning process may be dissipated into the air and drive some polluted dust to contaminate the camera lens. Therefore, the brightness of the light source can be increased. The brightness is increased so that the moisture is affected by the heat of the light source before reaching the lens and moves to a place outside the lens, thereby reducing the interference of the glass plate cleaning process on the accuracy of image acquisition; by setting the rotation speed of the optical glass plate, the influence of ghosting of the collected material image caused by the excessive rotation speed of the optical glass plate is reduced; by setting the continuous shooting frequency of the camera to be adjusted according to the vibration intensity of the screening machine, when the screening machine vibrates due to high-speed operation, resulting in ghosting of the collected image of the material to be sorted, the continuous shooting frequency of the camera is increased, thereby increasing the probability of the camera acquiring the real image, thereby reducing the influence of inaccurate image feature acquisition caused by the vibration of the screening machine, and achieving improved sorting accuracy and stability of the material.

[0090] Specifically, judging the accuracy of collecting optical features according to the difference in the grayscale of the image of the material to be sorted includes:

[0091] Obtaining grayscale values ​​of several sampling points of the image of the material to be sorted;

[0092] Calculating the difference in the grayscale of the image according to the grayscale values ​​of the plurality of sampling points;

[0093] Comparing the grayscale difference of the image with a preset first grayscale difference;

[0094] If the grayscale difference of the image is greater than the preset first grayscale difference, it is determined that the acquisition accuracy of the optical feature does not meet the requirement;

[0095] If the difference in the grayscale of the image is less than or equal to the preset first grayscale difference, it is determined that the accuracy of collecting the optical features meets the requirements.

[0096] In implementation, the sorting method of the present invention sets a preset first grayscale difference amount and a preset second grayscale difference amount to accurately judge the factors in different intervals that cause the optical feature acquisition accuracy to not meet the requirements, thereby achieving accurate judgment of the acquisition accuracy and further improving the quality sorting accuracy.

[0097] Specifically, adjusting the brightness of the light source that meets the preset interval time condition includes:

[0098] The grayscale difference of the image is further compared with a preset second grayscale difference;

[0099] If the difference in the grayscale of the image is greater than the preset second grayscale difference, the brightness of the light source that meets the preset interval time condition is increased.

[0100] Optionally, the generally optional range of the preset first grayscale difference amount is [10, 18], and the generally optional range of the preset second grayscale difference amount is [18, 25].

[0101] Preferably, the preferred embodiment of the preset first grayscale difference amount is 15, and the preferred embodiment of the preset second grayscale difference amount is 20.

[0102] In implementation, when the difference in image grayscale exceeds the preset second grayscale difference value by less than 5, the brightness of the light source is adjusted to 1.2 times the current brightness; when the difference in image grayscale exceeds the preset second grayscale difference value by 5, the brightness of the light source is increased by 3lx for every 0.1 increase. For example, if the difference in image grayscale is 22 and the current brightness is 150lx, the brightness of the current light source is increased to 150lx×1.2=180lx.

[0103] In implementation, the method of the present invention adjusts the brightness of the light source that meets the preset interval time condition to overcome the fact that some moisture on the optical glass plate after cleaning may carry dust in the air into the lens of the camera. Therefore, by increasing the brightness to reduce the possibility of this part of dust or moisture entering the camera, the accuracy of image acquisition is improved, and the accuracy of material sorting is further improved.

[0104] Specifically, the brightness of the light source is positively correlated with the grayscale difference of the image.

[0105] Specifically, the preset first grayscale difference amount is smaller than the preset second grayscale difference amount.

[0106] Specifically, the operation stability of the screening machine is determined according to the ghost image area of ​​the image of the material to be sorted, including:

[0107] Determine the ghost area according to the image of the material to be sorted;

[0108] Comparing the ghost area with a preset first area and a preset second area respectively;

[0109] If the ghost area is larger than the preset first area, it is determined that the operating stability of the screening machine does not meet the requirements.

[0110] Specifically, if the ghost area is larger than the preset second area, the rotation speed of the optical glass disk is reduced.

[0111] Wherein, the rotation speed of the optical glass disk is negatively correlated with the ghost area.

[0112] Optionally, the preset optional range of the first area is [0.05 m2, 0.1 m2], and the preset optional range of the second area is [0.1 m2, 0.2 m2].

[0113] Preferably, the preferred embodiment of the preset first area is 0.08 m2, and the preferred embodiment of the preset second area is 0.15 m2.

[0114] During implementation, when the ghost area exceeds the value of the preset second area by less than 0.05 m2, the rotation speed of the optical glass disk is reduced to 0.92 times the current rotation speed of the optical glass disk; when the ghost area exceeds the value of the preset second area by more than 0.05 m2, the current rotation speed of the optical glass disk is reduced by 2 r / min for every 0.01 m2 exceeding the value. For example, when the ghost area is 0.21 m2, the current rotation speed of the optical glass disk is 600 r / min, and the reduced rotation speed of the optical glass disk is 600 r / min×0.92-(0.21-0.15) / 0.01×2r / min=540 r / min.

[0115] Specifically, the rotation speed of the optical glass disk is essentially the rotation speed of the rotating motor disposed below the optical glass disk.

[0116] Specifically, adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine includes:

[0117] If the ghost area is larger than the preset first area and smaller than or equal to the preset second area, it is preliminarily determined that the vibration impact degree of the screening machine does not meet the requirements, and the vibration intensity of the screening machine is obtained;

[0118] comparing the vibration intensity of the screening machine with a preset vibration intensity;

[0119] If the vibration intensity of the screening machine is greater than the preset vibration intensity, the continuous shooting frequency of the camera is increased.

[0120] In implementation, the method of the present invention sets a preset first area and a preset second area. When the vibration of the screening machine exceeds the allowable range, the continuous shooting frequency of the camera is increased to overcome the interference caused by the vibration, thereby improving the accuracy of image acquisition of the material and further improving the accuracy of material sorting.

[0121] Specifically, the increased continuous shooting frequency of the camera is determined by the difference between the screening machine and the preset vibration intensity.

[0122] Optionally, the optional range of the preset vibration intensity is [5㎜ / s, 10㎜ / s].

[0123] Preferably, the preferred embodiment of the preset vibration intensity is 8 mm / s.

[0124] During implementation, when the vibration intensity of the screening machine exceeds the preset vibration intensity value within 2 mm / s, the continuous shooting frequency of the camera is increased to 1.3 times the current continuous shooting frequency of the camera; when the vibration intensity of the screening machine exceeds the preset vibration intensity value by more than 2 mm / s, the current continuous shooting frequency of the camera is increased by 1 frame / second for every 0.1 mm / s of excess. For example, if the vibration intensity of the screening machine is 10 mm / s and the current continuous shooting frequency of the camera is 10 frames / second, the increased continuous shooting frequency of the camera is 10 frames / second × 1.3 = 13 frames / second.

[0125] Specifically, determining the quality type of the material to be sorted according to the image of the material to be sorted includes:

[0126] Acquire images of a plurality of materials to be sorted acquired by a plurality of cameras;

[0127] Analyzing the images of the plurality of materials to be sorted to identify the range of color information of the materials to be sorted;

[0128] The range of the color information is compared with the color information in the database to determine the quality type of the material to be sorted.

[0129] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A quality sorting method based on a screening machine, characterized in that: include: Introducing the material to be sorted into the vibrating plate through the feed bin to move the material to be sorted to the edge area of ​​the vibrating plate; Controlling the aligning mechanism to transport the materials to be sorted in the edge area along the conveying channel to the optical glass plate; Acquiring an image of the material to be sorted on the optical glass plate to test image acquisition; Determining the accuracy of optical feature acquisition according to the grayscale difference of the image of the material to be sorted; Determining the accuracy adjustment method according to the acquisition accuracy, including adjusting the brightness of the light source that meets the preset interval time condition, Or, determining the operation stability of the screening machine according to the ghost image area of ​​the image of the material to be sorted, and determining the stability adjustment method according to the operation stability; The stability adjustment method includes adjusting the rotation speed of the optical glass plate, or adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine; Acquire the image of the material to be sorted according to the accuracy adjustment method; Determining the quality type of the material to be sorted according to the image of the material to be sorted; Sorting and conveying the materials to be sorted of the quality type to the corresponding sorting bins in the screening machine; The preset interval time condition is that the interval time between the moment when the optical glass disk is cleaned and the moment when image acquisition is started is less than the preset interval time.

2. The quality sorting method based on a screening machine according to claim 1, characterized in that: The step of judging the accuracy of collecting optical features according to the difference in the grayscale of the image of the material to be sorted includes: Obtaining grayscale values ​​of several sampling points of the image of the material to be sorted; Calculating the difference in the grayscale of the image according to the grayscale values ​​of the plurality of sampling points; Comparing the grayscale difference of the image with a preset first grayscale difference; If the grayscale difference of the image is greater than the preset first grayscale difference, it is determined that the acquisition accuracy of the optical feature does not meet the requirement; If the difference in the grayscale of the image is less than or equal to the preset first grayscale difference, it is determined that the accuracy of collecting the optical features meets the requirements.

3. The quality sorting method based on a screening machine according to claim 2, characterized in that: Adjust the brightness of the light source that meets the preset interval duration conditions, including, The grayscale difference of the image is further compared with a preset second grayscale difference; If the difference in the grayscale of the image is greater than the preset second grayscale difference, the brightness of the light source that meets the preset interval time condition is increased.

4. The quality sorting method based on a screening machine according to claim 3, characterized in that: The brightness of the light source is positively correlated with the grayscale difference of the image.

5. The quality sorting method based on a screening machine according to claim 4, characterized in that: The preset first grayscale difference is smaller than the preset second grayscale difference.

6. The quality sorting method based on a screening machine according to claim 5, characterized in that: Determining the operating stability of the screening machine according to the ghost area of ​​the image of the material to be sorted, comprising: Determine the ghost area according to the image of the material to be sorted; Comparing the ghost area with a preset first area and a preset second area respectively; If the ghost area is larger than the preset first area, it is determined that the operating stability of the screening machine does not meet the requirements.

7. The quality sorting method based on a screening machine according to claim 6, characterized in that: If the ghost area is larger than the preset second area, the rotation speed of the optical glass disk is reduced, Wherein, the rotation speed of the optical glass disk is negatively correlated with the ghost area.

8. The quality sorting method based on a screening machine according to claim 7, characterized in that: The continuous shooting frequency of the camera is adjusted according to the vibration intensity of the screening machine, including: If the ghost area is larger than the preset first area and smaller than or equal to the preset second area, it is preliminarily determined that the vibration impact degree of the screening machine does not meet the requirements, and the vibration intensity of the screening machine is obtained; comparing the vibration intensity of the screening machine with a preset vibration intensity; If the vibration intensity of the screening machine is greater than the preset vibration intensity, the continuous shooting frequency of the camera is increased.

9. The quality sorting method based on a screening machine according to claim 8, characterized in that: The increased continuous shooting frequency of the camera is determined by the difference between the screening machine and the preset vibration intensity.

10. The quality sorting method based on a screening machine according to claim 9, characterized in that: determining the quality type of the material to be sorted according to the image of the material to be sorted, include, Acquire images of a plurality of materials to be sorted acquired by a plurality of cameras; Analyzing the images of the plurality of materials to be sorted to identify the range of color information of the materials to be sorted; The range of the color information is compared with the color information in the database to determine the quality type of the material to be sorted.

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