Quality sorting method based on a screening machine

Abstract

The present application relates to material sorting technical field, especially to a kind of quality sorting method based on screening machine, comprising: the material to be sorted is introduced into vibrating disc via feed bin to move the material to be sorted to the edge area of vibrating disc;Control the mechanism of alignment to transport the material to be sorted in the edge area along the conveying channel to optical glass disc;The image of the material to be sorted on the optical glass disc is acquired to test image acquisition;According to the difference amount of the gray of the image of the material to be sorted, the collection accuracy of optical feature is judged;According to the precision adjustment mode, the image of the material to be sorted is acquired;According to the image of the material to be sorted, the quality type of the material to be sorted is determined;The material to be sorted of the quality type is sorted and transported to the corresponding material bin in the screening machine;The present application realizes the improvement of material sorting accuracy.

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, including modern industrial production, agricultural processing, and resource recycling, efficient and precise material quality sorting has become a core component for ensuring product quality, optimizing production processes, and improving resource utilization. The development of these technologies is driven by multiple factors and continues to evolve with technological advancements. Modern industrial synthetic materials and new agricultural products are constantly emerging, and their composition, structure, and properties are complex and varied. New composite materials incorporate multiple substances, and the proportions and distribution of each component influence their quality. Specialty agricultural products undergo hybridization and genetic modification, and the correlation between appearance and intrinsic quality is no longer straightforward. Traditional sorting based on fixed physical features is difficult to implement, and there is an urgent need for sorting technologies that can deeply analyze the complex properties of materials. Optical sensors are rapidly developing, with high-resolution cameras leaping from megapixels to tens of millions of pixels and even higher. Combined with precision optical lenses, they can capture subtle textures and color gradients in materials. The integration of technologies from multiple fields, including mechanical, electrical, and software, is creating 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, promoting the transformation of quality sorting from isolated equipment to intelligent integrated systems.

[0003] Chinese Patent Publication No. CN116984262A discloses a machine vision-based fruit appearance quality grading method and automatic sorting device. The method comprises a fruit conveyor component, a visual inspection component, and a fruit sorting component. The fruit conveyor component transports the fruit to be sorted to the fruit sorting component. During the transport process, the visual inspection component collects appearance images of the upper and lower portions of the fruit to be sorted from both top and bottom perspectives. The method crops the target area of ​​the image and extracts feature points. Each image is then gridded. The last row of the appearance image of the upper half of the fruit is matched with the first row of the appearance image of the lower half of the fruit within the corresponding grid points to obtain several feature point pairs. These feature point pairs are then screened and the two images are spliced ​​together based on the screened feature point pairs. Finally, appearance defects are identified based on the spliced ​​images, and HSV chromaticity values ​​and maximum fruit diameter are calculated. Grading is then performed based on the detection and calculation results. This indicates that the automatic sorting device of this invention suffers from the problem of substandard sorting results due to low light conditions or background impurities. 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 objectives, 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 based on the grayscale difference of the image of the material to be sorted;

[0010] Determining an accuracy adjustment method based on the acquisition accuracy includes adjusting the brightness of the light source that meets the preset interval time condition,

[0011] Alternatively, the operation stability of the screening machine is determined according to the ghost area of ​​the image of the material to be sorted, and the stability adjustment method is determined 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 an 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 transporting the materials to be sorted of the quality type into the corresponding sorting bins in the screening machine;

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

[0017] Furthermore, judging the accuracy of collecting optical features according to the grayscale difference 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 grayscale difference 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 requirements;

[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 acquisition accuracy of the optical feature meets the requirements.

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

[0024] Continuing to compare the image grayscale difference 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 grayscale difference of the image.

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

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

[0029] Determining 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 operation 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] The rotation speed of the optical glass disk is negatively correlated with the ghost area.

[0034] Furthermore, the continuous shooting frequency of the camera is adjusted according to the vibration intensity of the screening machine, including:

[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 of the quality type of the material to be sorted based on the image of the material to be sorted includes:

[0040] Acquire images of a plurality of materials to be sorted captured 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 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 carry some polluted dust to contaminate 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 due to 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 and the collected image of the material to be sorted has ghosting, the continuous shooting frequency of the camera is increased, thereby increasing the probability of the camera acquiring a real image, thereby reducing the influence of inaccurate image feature acquisition due to the vibration of the screening machine, and achieving improvement in the sorting accuracy and stability of the material.

[0044] Furthermore, the sorting method described in 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 possibility that some moisture in 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 and further improving the accuracy of material sorting. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0048] Figure 2 This is a specific flow chart of a quality sorting method based on a screening machine according to an embodiment of the present invention for determining the accuracy of optical feature acquisition based on the grayscale difference of the image of the material to be sorted;

[0049] Figure 3 This is 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 Schematic diagram of the structure 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-vibrating 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 merely used to explain the present invention and are not intended 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 scope of protection 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 the 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 say that a module is "connected" or "coupled" to another module, it can be directly connected or coupled to the other module, or there can be an intermediate unit. In addition, "connected" or "coupled" as used herein may include wireless connection or wireless coupling.

[0055] See also Figure 1 、 Figure 2 as well as Figure 3 As shown in the figure, 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 for judging the accuracy of optical feature acquisition based on the grayscale difference of the image of the material to be sorted, and a specific flow chart for 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 includes:

[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 based on the grayscale difference of the image of the material to be sorted;

[0060] Determining an accuracy adjustment method based on the acquisition accuracy includes adjusting the brightness of the light source that meets the preset interval time condition,

[0061] Alternatively, the operation stability of the screening machine is determined according to the ghost area of ​​the image of the material to be sorted, and the stability adjustment method is determined 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 an 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 transporting the materials to be sorted of the quality type into the corresponding sorting bins in the screening machine;

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

[0067] Specifically, the screening machine includes:

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

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

[0070] The aligning mechanism 2 is partially arranged 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 is provided below the alignment mechanism 2 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 is provided 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 is provided above the image acquisition unit to provide the brightness required for optical detection;

[0075] A material flow sensor 7 is provided at the output end of the arranging mechanism 2 to detect the flow of the material output by the arranging mechanism 2;

[0076] The sub-bin 3 is partially arranged below the optical glass plate 6 and is used to store 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] The 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 determine the acquisition accuracy of the optical feature according to the grayscale difference 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 to meet the preset interval time condition, or determine the operating stability of the screening machine according to the ghost image area of ​​the image of the material to be sorted, and determine the stability adjustment method according to the operating stability, including adjusting the rotation speed of the optical glass plate 6.

[0079] Alternatively, 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 angle to the plane of the vibration disk and is biased toward the location where the optical glass disk is arranged.

[0081] Specifically, the whole array mechanism is usually composed of a base, vibration damping pads, leaf springs, electromagnets, a hopper, a spiral track and a directional mechanism, a feed trough, a controller and other components; among them, the base: provides a stable support foundation to ensure that the whole array mechanism does not shake or displace during operation; the vibration damping pads are used to reduce the impact of vibration on the surrounding environment while protecting the stability of the whole array mechanism; the leaf springs and electromagnets cooperate to produce regular vibrations to make the material 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 material 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 material to move along a specific path and achieve directional arrangement of the material.

[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 actual function of the aligning mechanism is to automatically and orderly arrange the disordered materials through the vibration and directional 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 those skilled in the art, so they will not be described in detail 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 calculated by respectively calculating the grayscale values ​​of several sampling points in several material images and averaging them, 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 the several differences 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 RGB 3D stereoscopic analysis light source.

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

[0089] In implementation, the method of the present invention adjusts the brightness of the light source to meet a preset interval time. If the interval between the time when the optical glass plate cleaning is completed and the time when image acquisition is started is too short, the moisture in the glass plate cleaning process may be released into the air and carry some polluted dust to contaminate the camera lens. Therefore, the brightness of the light source can be increased. By increasing the brightness, 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 due to the excessive rotation speed of the optical glass plate is reduced; by setting 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 a real image, thereby reducing the influence of inaccurate image feature acquisition due to the vibration of the screening machine, and achieving improvement in the sorting accuracy and stability of the material.

[0090] Specifically, judging the accuracy of optical feature acquisition based on the grayscale difference 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 grayscale difference 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 requirements;

[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 acquisition accuracy of the optical feature 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] Continuing to compare the image grayscale difference 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 preset general optional range of the first grayscale difference amount is [10, 18], and the preset general optional range of the second grayscale difference amount is [18, 25].

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

[0102] In implementation, when the difference in image grayscale exceeds the value of the preset second grayscale difference by less than 5, the brightness of the light source is adjusted to 1.2 times the current brightness; after the difference in image grayscale exceeds the value of the preset second grayscale difference 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 possibility 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.

[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 is smaller than the preset second grayscale difference.

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

[0107] Determining 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 operation 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] 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 that exceeds 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] During 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 method increases the continuous shooting frequency of the camera, thereby overcoming the interference caused by the vibration and improving the accuracy of the image acquisition of the material, thereby 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 preset vibration intensity is preferably 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 will be 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 will be 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 will be 10 frames / second × 1.3 = 13 frames / second.

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

[0126] Acquire images of a plurality of materials to be sorted captured 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] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is clearly not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection 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 based on the grayscale difference of the image of the material to be sorted; Determining an accuracy adjustment method based on the acquisition accuracy includes adjusting the brightness of the light source that meets the preset interval time condition, Alternatively, the operation stability of the screening machine is determined according to the ghost area of ​​the image of the material to be sorted, and the stability adjustment method is determined 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 an 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 transporting the materials to be sorted of the quality type into the corresponding sorting bins in the screening machine; The preset interval condition is that the interval between the moment when the optical glass disk is cleaned and the moment when image acquisition is started is less than the preset interval. Adjust the brightness of the light source that meets the preset interval duration conditions, including, Continuing to compare the image grayscale difference with a preset second grayscale difference; If the grayscale difference of the image is greater than the second preset grayscale difference, increasing the brightness of the light source that meets the preset interval time condition; 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; Adjusting the continuous shooting frequency of the camera according to the vibration intensity of the screening machine includes: 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.

2. The quality sorting method based on a screening machine according to claim 1, characterized in that: The step of judging the accuracy of optical feature acquisition based on the grayscale difference 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 grayscale difference 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 requirements; 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 acquisition accuracy of the optical feature meets the requirements.

3. The quality sorting method based on a screening machine according to claim 2, characterized in that: The brightness of the light source is positively correlated with the grayscale difference of the image.

4. The quality sorting method based on a screening machine according to claim 3, characterized in that: The preset first grayscale difference is smaller than the preset second grayscale difference.

5. The quality sorting method based on a screening machine according to claim 4, 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, including: Determining 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 operation stability of the screening machine does not meet the requirements.

6. The quality sorting method based on a screening machine according to claim 5, 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.

7. The quality sorting method based on a screening machine according to claim 6, characterized in that: determining the quality type of the material to be sorted based on the image of the material to be sorted, include, Acquire images of a plurality of materials to be sorted captured 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.

Images