A rapid detection and elimination method and system for high refractive index glass beads

Abstract

The application discloses a kind of high refractive index glass beads rapid detection elimination method and system, it is related to glass bead refractive index detection technical field.The detection elimination method includes: setting detection area: detection area is equipped with the light beam detector for emitting light beam, detection area is equipped with the light beam receiving plate for receiving the reflection or refraction light beam of glass bead.The application is equipped by detection elimination method, utilizes light beam detector and light beam receiving plate, is combined with image acquisition unit, realizes the quick, non-contact detection of glass bead refractive index, can accurately identify group to be measured glass bead by pre-established basic reference data and fitting data, refractive index and refractive index threshold size are judged according to the grouping of to-be-measured light beam data, to quickly eliminate low refractive index glass bead, improve detection efficiency, reduce the cost and error of artificial detection.

Description

Technical Field

[0001] This invention relates to the field of glass bead refractive index detection technology, specifically to a rapid detection and elimination method and system for high refractive index glass beads. Background Technology

[0002] Glass beads are a type of silicate material with good chemical stability, mechanical strength, and electrical insulation. Their unique characteristic is retroreflection of light, which makes them widely used in highways, railways, ports, marine transportation, mines, tunnels, fire protection, and urban construction as various signs, warning signs, vehicle license plates, and life-saving equipment.

[0003] For example, the patent publication number is "CN112710632A", and the title is "A method and system for detecting high and low refractive indices of glass microspheres". The advantages of this invention are that it can not only detect the high and low refractive indices of glass microspheres at the same time, but also greatly improve the detection efficiency and accuracy through image analysis and processing.

[0004] The glass beads are small in size and are widely used in reflective coatings. However, when the above invention is used to test the glass microspheres, the actual value of the refractive index of the glass beads is not measured. Since the glass microspheres are not used in high-precision applications, the measurement of the specific value will increase the testing time. In addition, when inspecting multiple glass beads, the polarization of the light from the glass beads will cause mutual interference between the light rays, which will affect the judgment of the refractive index of the glass beads. Therefore, a rapid detection and elimination method and system for high refractive index glass beads has been invented. Summary of the Invention

[0005] The purpose of this invention is to provide a rapid detection and elimination method and system for high refractive index glass beads to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a rapid detection and rejection method for high-refractive-index glass beads, the detection and rejection method comprising:

[0007] Setting up a detection area: The detection area is equipped with a beam detector for emitting a beam, a beam receiving plate for receiving the beam reflected and refracted by the glass beads, and an image acquisition unit for detecting the beam data on the beam receiving plate.

[0008] Establish basic reference data: Establish a refractive index threshold to judge the refractive index of glass beads, obtain several No. 1 glass beads with known refractive indices, establish a refractive index value region and group the No. 1 glass beads according to the known refractive indices to obtain several value groups. The refractive index threshold is used as the dividing point in the value group. The beam detector illuminates the No. 1 glass beads respectively to obtain basic beam data including light distribution and light intensity.

[0009] Establish fitting data: Establish a correspondence between the basic beam data and the No. 1 glass bead, group the basic beam data according to the numerical group, perform data fitting on the basic beam data of the same group, and obtain the fitting data of each group. The fitting data includes the fitting distribution and the fitting illumination intensity.

[0010] Application and Identification Grouping: The beam detector illuminates the glass bead to be measured, the image acquisition unit detects the beam data on the beam receiving plate to obtain the beam data to be measured, and identifies and groups the beam data to be measured and each set of fitted data.

[0011] Rapid elimination: Glass beads are measured based on identification grouping and refractive index threshold, and glass beads with low refractive index are eliminated.

[0012] The identification grouping includes: comparing the illumination distribution in the beam data to be measured with the fitted distribution of each group, calculating the number of repetitions and the repetition distribution, comparing the degree of repetition of illumination intensity on the repetition distribution, establishing similarity based on the number of repetitions, the repetition distribution and the degree of repetition, determining the similarity between the beam data to be measured and each group of fitted data, and classifying the beam data to be measured into the group with the highest similarity based on the magnitude of the similarity.

[0013] Furthermore, the beam detector includes a tri-color beam detector that emits tri-color beams, and the method for eliminating low-refractive-index glass beads using a tri-color beam detector includes operating based on a detection elimination method:

[0014] Obtain several No. 2 glass beads with known refractive indices, and set up a group of 3 No. 2 glass beads to obtain several measurement groups;

[0015] The three-primary-color beam detector is used to illuminate the second glass bead of the measurement group. The image acquisition unit detects the beam data of the beam receiving plate to obtain the three-primary-color basic beam data. The three-primary-color basic beam data is divided to obtain the second basic beam dataset, which includes the second basic beam data one, the second basic beam data two, and the second basic beam data three.

[0016] A correspondence was established between the No. 2 fundamental beam dataset and the No. 2 glass bead. Data fitting was performed on the No. 2 fundamental beam dataset to obtain the three primary color fitting dataset. The three primary color fitting dataset includes the fitting data one of the No. 2 fundamental beam dataset one, the fitting data two of the No. 2 fundamental beam dataset two, and the fitting data three of the No. 2 fundamental beam dataset three.

[0017] The glass beads to be measured are obtained, and every three glass beads to be measured are set as a test group. The test group is illuminated by a three-primary-color beam detector to obtain three-primary-color beam data to be measured. The three-primary-color beam data to be measured and the three-primary-color fitting dataset are matched. The three-primary-color beam data to be measured and the three-primary-color fitting dataset under the matching relationship are identified and grouped. The matching relationship indicates that the beam data to be measured in the three-primary-color beam data and the fitting dataset in the three-primary-color fitting dataset are under the same primary color.

[0018] Under the same primary color, the refractive index and refractive index threshold of glass beads are determined based on the grouping of the three primary color basic beam data. Glass beads with refractive indices lower than the refractive index threshold are quickly identified and eliminated.

[0019] Furthermore, the division method includes: obtaining the illumination distribution and illumination intensity of the three primary colors, obtaining monochromatic regions and overlapping regions from the illumination distribution, performing color separation processing on the overlapping regions to obtain the illumination distribution and illumination intensity of a single primary color, and merging it with monochromatic regions of the same color to obtain the illumination distribution and illumination intensity of the primary color.

[0020] The color separation process includes color and color intensity data of the overlapping regions, distinguishing the combination of primary colors, obtaining the illumination intensity of each primary color in the overlapping regions based on the color, merging the illumination intensity of each primary color in the overlapping regions with the corresponding monochromatic regions to obtain monochromatic beam data, and obtaining beam data of the three primary colors based on the three primary colors.

[0021] Furthermore, the method for detecting the illumination distribution on the beam receiving plate by the image acquisition unit includes treating the beam receiving plate as a combination of several rectangular grids, obtaining the illumination distribution based on the distribution of the beam on the rectangular grids, determining the illumination intensity inside the rectangular grids based on the brightness of the beam in the rectangular grids, and obtaining the illumination distribution and illumination intensity. The illumination intensity is expressed numerically, with a larger value indicating stronger illumination intensity.

[0022] Furthermore, the data fitting includes setting up a first virtual beam receiving plate, superimposing the same group of basic beam data onto the first virtual beam receiving plate, superimposing the illumination intensity of the same group of basic beam data to obtain total beam data, the illumination distribution of the total beam data and the first fitting distribution, obtaining the first fitting illumination intensity by dividing the illumination intensity in the total beam data by the number of the same group of basic beams, and combining the first fitting distribution and the first fitting illumination intensity to form the first fitting data.

[0023] Furthermore, the data fitting includes setting up a second virtual beam receiving plate, and overlapping the basic beam data of the same group onto the second virtual beam receiving plate. Distributions with an overlap ratio exceeding a set limit are considered as the second fitting distribution. The overlap ratio is the ratio of the number of illumination distributions existing in the region to the total number of basic beams in the same group, with a set limit of 0.8-0.9. Based on the second overlapping distribution, the illumination intensity on the overlapping distribution is determined. The total illumination intensity on the overlapping distribution is divided by the number of basic beams on the overlapping distribution to obtain the second fitting illumination intensity. Finally, the second fitting data is obtained, which includes the second overlapping distribution and the second fitting illumination intensity.

[0024] Furthermore, the method for establishing similarity includes establishing similarity based on the number of repetitions, the distribution of repetitions, and the degree of repetition; comparing the light distribution to be measured with each group of fitted light distributions; calculating the similarity between the light distribution to be measured and each group of fitted light distributions; and calculating the proportion of the overlapping area of ​​the light distribution image to be measured and each group of fitted light distribution images to the total area to obtain shape similarity.

[0025] For each location of the repeating distribution, the difference between the light intensity to be measured and the fitted light intensity is calculated to obtain the light intensity difference ratio. The light intensity difference ratio = the average difference between the light intensity to be measured and the fitted light intensity / the average value of the fitted light intensity.

[0026] Set weighting coefficients, similarity value = AX + B(1-Y), where A and B are the weighting coefficients for shape similarity and light intensity, respectively, A + B = 1, X is the shape similarity, and Y is the proportion of light intensity difference. The weighting coefficient values ​​are controlled through actual testing methods.

[0027] The actual testing method includes obtaining several No. 3 glass beads with known refractive indices, irradiating the No. 3 glass beads with a light beam to obtain No. 3 basic beam data, identifying and grouping the No. 3 basic beam data and the known fitted data of each group, knowing the refractive index of the No. 3 glass beads, selecting and adjusting the specific values ​​of the weighting coefficients, and controlling the similarity of the No. 3 glass beads so that the No. 3 glass beads can be classified into their original corresponding groups.

[0028] A rapid detection and rejection system for high-refractive-index glass beads, employing the aforementioned rapid detection and rejection method for high-refractive-index glass beads, the rapid detection and rejection system comprising:

[0029] Detection area module: The detection area is equipped with a beam detector for emitting a beam, a beam receiving plate for receiving the beam reflected and refracted by the glass beads, and an image acquisition unit for detecting the beam data on the beam receiving plate.

[0030] Parameter data storage module: Establish a refractive index threshold to determine the refractive index of glass beads, obtain several glass beads with known refractive indices, establish a refractive index value region and group the glass beads according to the known refractive indices to obtain several value groups, with the refractive index threshold serving as the dividing point in the value groups, and the beam detector irradiates the glass beads to obtain basic beam data including light distribution and light intensity.

[0031] A correspondence was established between the basic beam data and the No. 1 glass bead. The basic beam data was grouped according to the numerical group. Data fitting was performed on the basic beam data of the same group to obtain the fitted data of each group. The fitted data included the fitted distribution and the fitted illumination intensity.

[0032] Identification module: The beam detector illuminates the glass bead to be measured, the image acquisition unit detects the beam data on the beam receiving plate to obtain the beam data to be measured, and identifies and groups the beam data to be measured and each set of fitted data.

[0033] Elimination module: Based on the identification group and refractive index threshold, the glass beads are measured, and glass beads with low refractive index are eliminated.

[0034] The identification grouping includes: comparing the illumination distribution in the beam data to be measured with the fitted distribution of each group, calculating the number of repetitions and the repetition distribution, comparing the degree of repetition of illumination intensity on the repetition distribution, establishing similarity based on the number of repetitions, the repetition distribution and the degree of repetition, determining the similarity between the beam data to be measured and each group of fitted data, and classifying the beam data to be measured into the group with the highest similarity based on the magnitude of the similarity.

[0035] Compared with the prior art, the beneficial effects of the present invention are:

[0036] This rapid detection and elimination method and system for high-refractive-index glass beads eliminates the need for precise numerical measurement of the glass bead's refractive index. Instead, it establishes baseline reference data and fitting data, enabling more accurate determination of the glass bead's refractive index. Even when multiple glass beads are tested simultaneously, the method accurately distinguishes between high- and low-refractive-index beads through identification, grouping, and rapid elimination steps, improving accuracy. Utilizing a beam detector and beam receiver plate, combined with an image acquisition unit, it achieves rapid, non-contact detection of the glass bead's refractive index. By using pre-established baseline reference data and fitting data, the method accurately identifies and groups the glass beads under test. Based on the grouping of the beam data to be measured, it determines the refractive index and refractive index threshold of the glass beads, thereby rapidly eliminating low-refractive-index glass beads, improving detection efficiency, and reducing the cost and error of manual inspection.

[0037] Meanwhile, by setting up a three-primary-color beam detector, the three-primary-color basic beam data is distinguished by a segmentation method, so as to differentiate the basic beam data of each primary color. In the segmentation method, the three-primary-color basic beam data can be quickly distinguished based on the color library to obtain the basic beam data of each primary color. Then, the basic beam data of each primary color is processed by a rapid elimination method. Through the processing and analysis of the three-primary-color beam data, glass beads can be detected more quickly, and the speed of eliminating low-refractive-index glass beads can be improved.

[0038] By setting up data fitting, the basic beam data of each group is fitted to find the common part in the basic beam data of each group. Since the refractive index of each group of glass beads is within the same grouping range, the common part will occupy a large part relative to the individual basic beam data. Based on the common part, the similarity between the beam data to be measured and the common part of each group is judged. Based on the similarity, the beam data to be measured is classified into one group. Based on the comparison between this group and the refractive index threshold, it is further determined whether the glass bead has a high refractive index or a low refractive index. This method does not require specific detection of the refractive index of the glass beads, which improves the feasibility of the detection and elimination method. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the rapid detection and elimination method of the present invention;

[0040] Figure 2 This is a schematic diagram of the three-primary-color detection and elimination method of the present invention;

[0041] Figure 3 This is a schematic diagram illustrating the group identification process of the present invention. Detailed Implementation

[0042] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] like Figure 1 - Figure 3 As shown, the present invention provides a technical solution: a rapid detection and elimination method for high refractive index glass beads, the detection and elimination method comprising:

[0044] Setting up a detection area: The detection area is equipped with a beam detector for emitting a beam, a beam receiving plate for receiving the beam reflected and refracted by the glass beads, and an image acquisition unit for detecting the beam data on the beam receiving plate.

[0045] Establish basic reference data: Establish a refractive index threshold to judge the refractive index of glass beads, obtain several No. 1 glass beads with known refractive indices, establish a refractive index value region and group the No. 1 glass beads according to the known refractive indices to obtain several value groups. The refractive index threshold is used as the dividing point in the value group. The beam detector illuminates the No. 1 glass beads respectively to obtain basic beam data including light distribution and light intensity.

[0046] Establish fitting data: Establish a correspondence between the basic beam data and the No. 1 glass bead, group the basic beam data according to the numerical group, perform data fitting on the basic beam data of the same group, and obtain the fitting data of each group. The fitting data includes the fitting distribution and the fitting illumination intensity.

[0047] Application and Identification Grouping: The beam detector illuminates the glass bead to be measured, the image acquisition unit detects the beam data on the beam receiving plate to obtain the beam data to be measured, and identifies and groups the beam data to be measured and each set of fitted data.

[0048] Rapid elimination: Glass beads are measured based on identification grouping and refractive index threshold, and glass beads with low refractive index are eliminated.

[0049] The identification and grouping process includes: comparing the illumination distribution in the beam data to be measured with the fitted distribution of each group, calculating the number of repetitions and the repetition distribution, comparing the degree of repetition of illumination intensity on the repetition distribution, establishing similarity based on the number of repetitions, the repetition distribution and the degree of repetition, determining the similarity between the beam data to be measured and each group of fitted data, and assigning the beam data to be measured to the group with the highest similarity based on the magnitude of the similarity.

[0050] The beam detector includes a three-color beam detector that emits three-color beams. A method for eliminating low-refractive-index glass beads using a three-color beam detector includes operating based on a detection elimination method:

[0051] Obtain several No. 2 glass beads with known refractive indices, and set up a group of 3 No. 2 glass beads to obtain several measurement groups;

[0052] The three-primary-color beam detector is used to illuminate the second glass bead of the measurement group. The image acquisition unit detects the beam data of the beam receiving plate to obtain the three-primary-color basic beam data. The three-primary-color basic beam data is divided to obtain the second basic beam dataset, which includes the second basic beam data one, the second basic beam data two, and the second basic beam data three.

[0053] A correspondence was established between the No. 2 fundamental beam dataset and the No. 2 glass bead. Data fitting was performed on the No. 2 fundamental beam dataset to obtain the three primary color fitting dataset. The three primary color fitting dataset includes the fitting data one of the No. 2 fundamental beam dataset one, the fitting data two of the No. 2 fundamental beam dataset two, and the fitting data three of the No. 2 fundamental beam dataset three.

[0054] The glass beads to be measured are obtained, and every three glass beads to be measured are set as a test group. The test group is illuminated by a three-primary-color beam detector to obtain three-primary-color beam data to be measured. The three-primary-color beam data to be measured and the three-primary-color fitting dataset are matched. The three-primary-color beam data to be measured and the three-primary-color fitting dataset under the matching relationship are identified and grouped. The matching relationship indicates that the beam data to be measured in the three-primary-color beam data and the fitting dataset in the three-primary-color fitting dataset are under the same primary color.

[0055] Under the same primary color, the refractive index and refractive index threshold of glass beads are determined based on the grouping of the three primary color basic beam data. Glass beads with refractive indices lower than the refractive index threshold are quickly identified and eliminated.

[0056] The segmentation method includes: obtaining the illumination distribution and intensity of the three primary colors, obtaining monochromatic regions and overlapping regions from the illumination distribution, performing color separation processing on the overlapping regions to obtain the illumination distribution and intensity of a single primary color, and merging it with monochromatic regions of the same color to obtain the illumination distribution and intensity of the primary color.

[0057] Color separation processing includes color and intensity data of overlapping regions, distinguishing the combination of primary colors, obtaining the illumination intensity of each primary color in the overlapping region based on the color, merging the illumination intensity of each primary color in the overlapping region with the corresponding monochromatic region to obtain monochromatic beam data, and obtaining beam data of the three primary colors based on the three primary colors.

[0058] The method for detecting the illumination distribution on the beam receiving plate by the image acquisition unit includes treating the beam receiving plate as a combination of several rectangular grids, obtaining the illumination distribution based on the distribution of the beam on the rectangular grids, determining the illumination intensity inside the rectangular grids based on the brightness of the beam in the rectangular grids, and obtaining the illumination distribution and illumination intensity. The illumination intensity is expressed numerically, with a larger value indicating stronger illumination intensity.

[0059] Data fitting includes setting up a virtual beam receiving plate, superimposing the basic beam data of the same group onto the virtual beam receiving plate, superimposing the illumination intensity of the basic beam data of the same group to obtain total beam data, the illumination distribution of the total beam data and the first-fit distribution, obtaining the first-fit illumination intensity by dividing the illumination intensity in the total beam data by the number of basic beams in the same group, and combining the first-fit distribution and the first-fit illumination intensity to form the first-fit data.

[0060] Data fitting involves setting up a second virtual beam receiving plate, and then overlapping the basic beam data of the same group onto the second virtual beam receiving plate. Distributions with an overlap ratio exceeding a set limit are considered as the second fitting distribution. The overlap ratio is the ratio of the number of illumination distributions existing in the region to the total number of basic beams in the same group, with a set limit of 0.8-0.9. Based on the second overlapping distribution, the illumination intensity on the overlapping distribution is determined. The total illumination intensity on the overlapping distribution is divided by the number of basic beams on the overlapping distribution to obtain the second fitting illumination intensity. Finally, the second fitting data is obtained, which includes the second overlapping distribution and the second fitting illumination intensity.

[0061] The methods for establishing similarity include establishing similarity based on the number of repetitions, the distribution of repetitions, and the degree of repetition; comparing the light distribution to be measured with each group of fitted light distributions; calculating the similarity between the light distribution to be measured and each group of fitted light distributions; and calculating the proportion of the overlapping area between the light distribution image to be measured and each group of fitted light distribution images to the total area to obtain shape similarity.

[0062] For each location of the repeating distribution, the difference between the light intensity to be measured and the fitted light intensity is calculated to obtain the light intensity difference ratio. The light intensity difference ratio = the average difference between the light intensity to be measured and the fitted light intensity / the average value of the fitted light intensity.

[0063] Set weighting coefficients, similarity value = AX + B(1-Y), where A and B are the weighting coefficients for shape similarity and light intensity, respectively, A + B = 1, X is the shape similarity, and Y is the proportion of light intensity difference. The weighting coefficient values ​​are controlled through actual testing methods.

[0064] The actual testing method includes obtaining several No. 3 glass beads with known refractive indices, irradiating the No. 3 glass beads with a beam to obtain No. 3 basic beam data, matching the No. 3 basic beam data with the known fitted data of each group, knowing the refractive index of the No. 3 glass beads, selecting and adjusting the specific values ​​of the weighting coefficients, and controlling the similarity of the No. 3 glass beads so that the No. 3 glass beads can be classified into their original corresponding groups.

[0065] A rapid detection and rejection system for high-refractive-index glass beads, employing the aforementioned rapid detection and rejection method for high-refractive-index glass beads, includes:

[0066] Detection area module: The detection area is equipped with a beam detector for emitting a beam, a beam receiving plate for receiving the beam reflected and refracted by the glass beads, and an image acquisition unit for detecting the beam data on the beam receiving plate.

[0067] Parameter data storage module: Establish a refractive index threshold to determine the refractive index of glass beads, obtain several glass beads with known refractive indices, establish a refractive index value region and group the glass beads according to the known refractive indices to obtain several value groups, with the refractive index threshold serving as the dividing point in the value groups, and the beam detector irradiates the glass beads to obtain basic beam data including light distribution and light intensity.

[0068] A correspondence was established between the basic beam data and the No. 1 glass bead. The basic beam data was grouped according to the numerical group. Data fitting was performed on the basic beam data of the same group to obtain the fitted data of each group. The fitted data included the fitted distribution and the fitted illumination intensity.

[0069] Identification module: The beam detector illuminates the glass bead to be measured, the image acquisition unit detects the beam data on the beam receiving plate to obtain the beam data to be measured, and identifies and groups the beam data to be measured and each set of fitted data.

[0070] Elimination module: Based on the identification group and refractive index threshold, the glass beads are measured, and glass beads with low refractive index are eliminated.

[0071] The identification and grouping process includes: comparing the illumination distribution in the beam data to be measured with the fitted distribution of each group, calculating the number of repetitions and the repetition distribution, comparing the degree of repetition of illumination intensity on the repetition distribution, establishing similarity based on the number of repetitions, the repetition distribution and the degree of repetition, determining the similarity between the beam data to be measured and each group of fitted data, and assigning the beam data to be measured to the group with the highest similarity based on the magnitude of the similarity.

[0072] The beam detector of the tri-color lamp refers to a beam detector that uses the red (R), green (G), and blue (B) color spectra. This tri-color lamp beam detector can simultaneously emit three beams of red, green, and blue light. When illuminating the test group or the group to be tested, although the three primary colors may interfere with each other, other colors will appear in the affected areas. By using a color library, it is possible to roughly determine which primary colors constitute these other colors and the proportion of light intensity in each primary color. The illumination data of the three primary colors can be quickly distinguished using a computer and a color library for subsequent processing. The refractive index threshold for judging the refractive index of the glass beads can be manually determined and selected at the beginning. During grouping, the refractive index threshold will serve as a dividing point within the group. Based on the need to determine if the glass beads have a high refractive index, the grouping area is controlled during grouping. The size of the grouping region is the difference between the left and right dividing points in the group. Preferably, the closer the grouping region is to the refractive index threshold, the smaller the grouping region is. This design allows for careful grouping of glass beads around the refractive index threshold, reducing the false judgment rate. A refractive index threshold is established to judge the high or low refractive index of the glass beads. The refractive index threshold is set according to actual production needs and selected according to the usage scenario of the glass beads. Since the usage scenario of glass beads is different, the corresponding refractive index threshold will also be different. For example, if the industry standard stipulates that the refractive index is greater than 1.60 is a high refractive index, then 1.60 can be set as the threshold. This threshold is written into the system parameter data storage module to guide the grouping of the basic beam data (i.e., dividing several numerical groups with the threshold as the dividing point) and finally serves as the basis for judging whether the glass bead under test should be discarded.

[0073] The number of repetitions is the number of overlapping regions between the distribution to be measured and the fitted distribution. The repetition distribution refers to the region in which the illumination distribution in the beam data to be measured coincides or overlaps with the fitted illumination distribution in each set of fitted data in terms of spatial location.

[0074] Example 1: Note that there is no external light source affecting the detection area. In this example, a monochromatic beam detector is used. The monochromatic beam detector measures the refractive index of glass bead number one and groups it according to the refractive index value. Since this application aims to quickly eliminate low-refractive-index glass beads, the refractive index threshold is used as a dividing point in grouping glass beads number one. The refractive index threshold is only used as one dividing point. To avoid large data spans within the fitted data due to large refractive index ranges, resulting in less repetition within the fitted data, in addition to the refractive index threshold... In addition to the value, extra separators can be set to group the first glass bead, avoiding large data spans within the same group. After grouping and detecting the basic beam data, the basic beam data is grouped according to the original grouping. Data fitting is performed on the basic beam data of the same group, and then the glass bead to be measured is irradiated to obtain the beam data to be measured. The beam data to be measured is compared with the fitted data of each group, and then the beam data to be measured is classified into the group. The refractive index range of the group is compared with the refractive index threshold to determine the refractive index of the glass bead to be measured, and glass beads with low refractive index are eliminated.

[0075] By setting up a detection and elimination method, when detecting the refractive index of glass beads, it is not necessary to measure the specific value of the refractive index. Instead, basic reference data and fitting data are established. This method can more accurately determine the refractive index of glass beads. Even when multiple glass beads are detected simultaneously, the steps of identification grouping and rapid elimination can accurately distinguish between glass beads with high and low refractive indices, improving the accuracy of the judgment. Using a beam detector and beam receiving plate, combined with an image acquisition unit, rapid and non-contact detection of the refractive index of glass beads is realized. Through the pre-established basic reference data and fitting data, the glass beads to be tested can be accurately identified and grouped. Based on the grouping of the beam data to be measured, the refractive index and refractive index threshold of the glass beads are determined, thereby quickly eliminating low refractive index glass beads, improving detection efficiency, and reducing the cost and error of manual detection.

[0076] Example 2: To further improve the detection of the refractive index of glass beads, a three-primary-color beam detector emitting three-primary-color beams is used. The method in this example is the same as that in Example 1, but because a three-primary-color beam detector is used in this example, there will be significant differences in specific situations. Since the wavelengths and colors of the beams of different primary colors are different, when irradiating the measurement group or the test group, three-primary-color basic beam data is obtained. This data contains three different colors of basic beam data. Furthermore, since the illumination of the three different colors can overlap, and because three primary colors are used, the overlap of different colors will cause a change in the color within the overlap area. Simultaneously, it is possible to determine the color based on the specific characteristics of the beams. Regarding color, it can identify the approximate ratio of the light intensity of two or three primary colors in that color. The superposition of two primary colors will form another color, but controlling the change of the light intensity ratio between the two primary colors will cause the color to change. The superposition principle of three primary colors can be quickly identified based on the color library, which records the gas color formed by mixing the three primary colors in various proportions. The color library contains existing content, and the basic beam data of the three primary colors are distinguished by a division method. For the same primary color, the processing is performed as in the embodiment, thereby realizing the rapid elimination of low refractive index glass beads. Compared with embodiment one, this embodiment can detect three glass beads at the same time, which can improve the detection efficiency.

[0077] By setting up a three-primary-color beam detector, the three-primary-color basic beam data is distinguished by a segmentation method, so as to differentiate the basic beam data of each primary color. In the segmentation method, the three-primary-color basic beam data can be quickly distinguished based on the color library to obtain the basic beam data of each primary color. Then, the basic beam data of each primary color is processed and analyzed by a rapid elimination method. Through the processing and analysis of the three-primary-color beam data, glass beads can be detected more quickly, and the speed of eliminating low-refractive-index glass beads can be improved.

[0078] Example 3: This example is a data fitting method. All the basic beam data of the same group are superimposed on the first virtual beam receiving plate. The light intensity is superimposed synchronously to obtain the light distribution and light intensity of the total beam data. The light intensity of the total beam data is divided by the number of basic beam data of the same group. The light intensity of the total beam data is averaged by division to obtain the first fitted light intensity. The first fitted distribution and the first fitted light intensity are combined to form the first fitted data.

[0079] Example 4: During data fitting, the basic beam data of the same group are respectively and superimposed on the second virtual beam receiving plate. Their illumination distribution and intensity are simulated on the second virtual receiving plate. When multiple beams overlap in the same area, the ratio of the number of overlapping beams to the total number of basic beam data of the same group is the overlap ratio. If the overlap ratio is greater than a set limit, it is considered as the second fitting distribution. These areas are areas with a high degree of beam overlap and can represent the characteristics of the basic beam data of the group. For each area on the second fitting distribution, the total illumination intensity is calculated, and the total illumination intensity of the overlapping distribution in that area is divided by the number of basic beams on the overlapping distribution to obtain the illumination intensity of each area, thus obtaining the second fitting illumination intensity.

[0080] Comparing Examples 3 and 4, Example 3's data fitting method is simple, straightforward, and easy to implement, intuitively reflecting the overall illumination intensity and distribution characteristics of the same set of basic beam data. Example 4's data fitting method considers the degree of overlap in illumination distribution, more accurately reflecting the actual situation of the beam data. By setting a limit on the overlap ratio, some noise and outliers can be filtered out, improving the accuracy of the fitted data. Data fitting is performed on each set of basic beam data to find the common parts in each set. Since the refractive index of each set of glass beads is within the same range, their common parts will occupy a large portion relative to a single basic beam data. Based on the common parts, the similarity between the beam data to be measured and the common parts of each set is judged, and the beam data to be measured is classified into one set based on the similarity. Based on the comparison between this set and the refractive index threshold, it is further determined whether the glass bead has a high refractive index or a low refractive index. This method does not require specific detection of the refractive index of the glass beads, improving the feasibility of the detection and elimination method.

[0081] The method for establishing similarity is based on the weighting coefficients determined by the actual testing method. The similarity between the light distribution to be measured and each set of fitted light distributions is calculated. Since the beam receiving plate is considered as a combination of several rectangular grids, the similarity can be calculated by taking the number of overlapping rectangular grids between the light distribution to be measured and each set of fitted light distributions. The total number of rectangular grids occupied by each set of fitted light distributions is used as the denominator, and the number of overlapping rectangular grids is used as the numerator to obtain the similarity score. An example is given to illustrate the similarity calculation, such as the similarity between the light distribution to be measured and three sets of fitted light distributions. The intensities were 0.82, 0.75, and 0.95, respectively. For each location of the repeated distribution, the difference between the light intensity to be measured and the fitted light intensity was calculated. Three No. 3 glass beads with known refractive indices (e.g., refractive indices of 1.42, 1.55, and 1.60) were selected, and their basic beam data were obtained by irradiating them with a beam. The obtained basic beam data were matched with three preset sets of fitted data. The refractive index grouping ranges of the three sets of fitted data were 1.40-1.51, 1.51-1.58, and 1.58-1.65, respectively. The accuracy of the similarity model was initially verified by continuously adjusting and testing A, The value of B ensures that the three types of glass beads can be accurately classified into their original corresponding groups. For example, initially setting A=0.6 and B=0.4 for verification, if the classification effect is not good, the values ​​of A and B are gradually adjusted. In the initial setting process, the value of A ranges from 0.1 to 0.9, and the value of B ranges from 0.1 to 0.9. At the same time, during the adjustment process, the specific values ​​of A and B will also remain within the range. All three No. 3 glass beads can be classified into their original groups until the best classification effect is achieved. For example, in the calculation, for a glass bead with a refractive index of 1.42, based on the initial setting of A=0.6 and B=0.4... In case 4, the similarity between the glass bead and the three sets of fitted data is 0.815, 0.823, and 0.810, respectively. Among them, 0.823 is significantly larger than the other two. However, the group corresponding to 0.823 is 1.51-1.58, which does not match the refractive index of the glass bead. Therefore, the values ​​of A and B are adjusted to change 0.815, 0.823, and 0.810, making them 0.825, 0.805, and 0.789. This makes 0.825 larger than the other two, thus enabling the third glass bead to be classified into its original corresponding group.

[0082] Based on the importance of distribution similarity and light intensity contrast, appropriate weights are assigned to them. The specific value of the weight coefficient can be determined by measuring glass beads with known refractive indices. By controlling the specific value of the weight coefficient, the similarity of the weight coefficient can be classified into the group corresponding to the original refractive index.

[0083] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A rapid detection and elimination method for high-refractive-index glass beads, characterized in that, The detection and elimination method includes: Setting up a detection area: The detection area is equipped with a beam detector for emitting a beam, a beam receiving plate for receiving the beam reflected and refracted by the glass beads, and an image acquisition unit for detecting the beam data on the beam receiving plate. Establish basic reference data: Establish a refractive index threshold to judge the refractive index of glass beads, obtain several No. 1 glass beads with known refractive indices, establish a refractive index value region and group the No. 1 glass beads according to the known refractive indices to obtain several value groups. The refractive index threshold is used as the dividing point in the value group. The beam detector illuminates the No. 1 glass beads respectively to obtain basic beam data including light distribution and light intensity. Establish fitting data: Establish a correspondence between the basic beam data and the No. 1 glass bead, group the basic beam data according to the numerical group, perform data fitting on the basic beam data of the same group, and obtain the fitting data of each group. The fitting data includes the fitting distribution and the fitting illumination intensity. Application and Identification Grouping: The beam detector illuminates the glass bead to be measured, the image acquisition unit detects the beam data on the beam receiving plate to obtain the beam data to be measured, and identifies and groups the beam data to be measured and each set of fitted data. Rapid elimination: Glass beads are measured based on identification grouping and refractive index threshold, and glass beads with low refractive index are eliminated. The identification grouping includes: comparing the illumination distribution in the beam data to be measured with the fitted distribution of each group, calculating the number of repetitions and the repetition distribution, comparing the degree of repetition of illumination intensity on the repetition distribution, establishing similarity based on the number of repetitions, the repetition distribution and the degree of repetition, determining the similarity between the beam data to be measured and each group of fitted data, and classifying the beam data to be measured into the group with the highest similarity based on the magnitude of the similarity. The methods for establishing similarity include establishing similarity based on the number of repetitions, the distribution of repetitions, and the degree of repetition; comparing the light distribution to be measured with each group of fitted light distributions; calculating the similarity between the light distribution to be measured and each group of fitted light distributions; and calculating the proportion of the overlapping area between the light distribution image to be measured and each group of fitted light distribution images to the total area to obtain shape similarity. For each location of the repeating distribution, the difference between the light intensity to be measured and the fitted light intensity is calculated to obtain the light intensity difference ratio. The light intensity difference ratio = the average difference between the light intensity to be measured and the fitted light intensity / the average value of the fitted light intensity. Set weighting coefficients, similarity value = AX + B(1-Y), where A and B are the weighting coefficients for shape similarity and light intensity, respectively, A + B = 1, X is the shape similarity, and Y is the proportion of light intensity difference. The weighting coefficient values ​​are controlled through actual testing methods. The actual testing method includes obtaining several No. 3 glass beads with known refractive indices, irradiating the No. 3 glass beads with a light beam to obtain No. 3 basic beam data, identifying and grouping the No. 3 basic beam data and the known fitted data of each group, knowing the refractive index of the No. 3 glass beads, selecting and adjusting the specific values ​​of the weighting coefficients, and controlling the similarity of the No. 3 glass beads so that the No. 3 glass beads can be classified into their original corresponding groups.

2. The rapid detection and elimination method for high refractive index glass beads according to claim 1, characterized in that: The beam detector includes a three-color beam detector that emits three-color beams. The method for eliminating low-refractive-index glass beads using a three-color beam detector includes operating based on a detection elimination method: Obtain several No. 2 glass beads with known refractive indices, and set up a group of 3 No. 2 glass beads to obtain several measurement groups; The three-primary-color beam detector is used to illuminate the second glass bead of the measurement group. The image acquisition unit detects the beam data of the beam receiving plate to obtain the three-primary-color basic beam data. The three-primary-color basic beam data is divided to obtain the second basic beam dataset, which includes the second basic beam data one, the second basic beam data two, and the second basic beam data three. A correspondence was established between the No. 2 fundamental beam dataset and the No. 2 glass bead. Data fitting was performed on the No. 2 fundamental beam dataset to obtain the three primary color fitting dataset. The three primary color fitting dataset includes the fitting data one of the No. 2 fundamental beam dataset one, the fitting data two of the No. 2 fundamental beam dataset two, and the fitting data three of the No. 2 fundamental beam dataset three. The glass beads to be measured are obtained, and every three glass beads to be measured are set as a test group. The test group is illuminated by a three-primary-color beam detector to obtain three-primary-color beam data to be measured. The three-primary-color beam data to be measured and the three-primary-color fitting dataset are matched. The three-primary-color beam data to be measured and the three-primary-color fitting dataset under the matching relationship are identified and grouped. The matching relationship indicates that the beam data to be measured in the three-primary-color beam data and the fitting dataset in the three-primary-color fitting dataset are under the same primary color. Under the same primary color, the refractive index and refractive index threshold of glass beads are determined based on the grouping of the three primary color basic beam data. Glass beads with refractive indices lower than the refractive index threshold are quickly identified and eliminated.

3. The rapid detection and elimination method for high refractive index glass beads according to claim 2, characterized in that: The division method includes: obtaining the illumination distribution and illumination intensity of the three primary colors, obtaining monochromatic regions and overlapping regions from the illumination distribution, performing color separation processing on the overlapping regions to obtain the illumination distribution and illumination intensity of a single primary color, and merging it with monochromatic regions of the same color to obtain the illumination distribution and illumination intensity of the primary color. The color separation process includes color and color intensity data of the overlapping regions, distinguishing the combination of primary colors, obtaining the illumination intensity of each primary color in the overlapping regions based on the color, merging the illumination intensity of each primary color in the overlapping regions with the corresponding monochromatic regions to obtain monochromatic beam data, and obtaining beam data of the three primary colors based on the three primary colors.

4. The rapid detection and elimination method for high refractive index glass beads according to claim 1, characterized in that: The method for detecting the illumination distribution on the beam receiving plate by the image acquisition unit includes treating the beam receiving plate as a combination of several rectangular grids, obtaining the illumination distribution based on the distribution of the beam on the rectangular grids, determining the illumination intensity inside the rectangular grids based on the brightness of the beam in the rectangular grids, and obtaining the illumination distribution and illumination intensity.

5. The rapid detection and elimination method for high refractive index glass beads according to claim 1, characterized in that: The data fitting process includes setting up a virtual beam receiving plate, stacking the basic beam data of the same group on the virtual beam receiving plate, superimposing the illumination intensity of the basic beam data of the same group to obtain total beam data, the illumination distribution of the total beam data and the first fitting distribution, obtaining the first fitting illumination intensity by dividing the illumination intensity in the total beam data by the number of basic beams in the same group, and combining the first fitting distribution and the first fitting illumination intensity to form the first fitting data.

6. The rapid detection and elimination method for high refractive index glass beads according to claim 1, characterized in that: The data fitting process includes setting up a second virtual beam receiving plate, and overlapping the basic beam data of the same group onto the second virtual beam receiving plate. Distributions with an overlap ratio exceeding a set limit are considered as the second fitting distribution. The overlap ratio is the ratio of the number of illumination distributions existing in the region to the total number of basic beams in the same group, with a set limit of 0.8-0.

9. Based on the second overlapping distribution, the illumination intensity on the overlapping distribution is determined. The total illumination intensity on the overlapping distribution is divided by the number of basic beams on the overlapping distribution to obtain the second fitting illumination intensity. Finally, the second fitting data is obtained, which includes the second overlapping distribution and the second fitting illumination intensity.

7. A rapid detection and rejection system for high-refractive-index glass beads, employing the rapid detection and rejection method for high-refractive-index glass beads as described in any one of claims 1-6, characterized in that: The rapid detection and elimination system includes: Detection area module: The detection area is equipped with a beam detector for emitting a beam, a beam receiving plate for receiving the beam reflected and refracted by the glass beads, and an image acquisition unit for detecting the beam data on the beam receiving plate. Parameter data storage module: Establish a refractive index threshold to determine the refractive index of glass beads, obtain several glass beads with known refractive indices, establish a refractive index value region and group the glass beads according to the known refractive indices to obtain several value groups, with the refractive index threshold serving as the dividing point in the value groups, and the beam detector irradiates the glass beads to obtain basic beam data including light distribution and light intensity. A correspondence was established between the basic beam data and the No. 1 glass bead. The basic beam data was grouped according to the numerical group. Data fitting was performed on the basic beam data of the same group to obtain the fitted data of each group. The fitted data included the fitted distribution and the fitted illumination intensity. Identification module: The beam detector illuminates the glass bead to be measured, the image acquisition unit detects the beam data on the beam receiving plate to obtain the beam data to be measured, and identifies and groups the beam data to be measured and each set of fitted data. Elimination module: Based on the identification group and refractive index threshold, the glass beads are measured, and glass beads with low refractive index are eliminated. The identification grouping includes: comparing the illumination distribution in the beam data to be measured with the fitted distribution of each group, calculating the number of repetitions and the repetition distribution, comparing the degree of repetition of illumination intensity on the repetition distribution, establishing similarity based on the number of repetitions, the repetition distribution and the degree of repetition, determining the similarity between the beam data to be measured and each group of fitted data, and classifying the beam data to be measured into the group with the highest similarity based on the magnitude of the similarity.

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