Monitoring method of cubilose soaking process

Abstract

The invention provides a bird's nest soaking process monitoring method, and particularly relates to a bird's nest soaking time and hair head prediction method, which comprises the following steps: S1, acquiring a microscopic image of a bird's nest; s2, collecting the average total optical density and the average dark-bright area ratio of the microscopic image; s3, identifying cubilose fiber arrangement uniformity and fiber spacing distribution standard deviation in the microscopic image; and S4, comparing the average total optical density, the average dark-bright area ratio, the fiber arrangement uniformity and the fiber spacing distribution standard deviation obtained in the S2 and the S3 with a soaking comparison table to obtain the soaking time and the soaking head of the bird's nest. The method has the beneficial effects that the soaking time of the cubilose can be more accurately predicted by analyzing the microscopic image features of the cubilose, excessive soaking or insufficient soaking is avoided, soaking can be performed according to the predicted time, the trial and error time is shortened, and the soaking efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of food, and relates to a method for monitoring the soaking process of bird's nest, in particular to a method for predicting the soaking time and swelling ratio of bird's nest. Background Art

[0002] Due to its rich nutritional components, bird's nest has received extensive attention in the food field. In order to facilitate storage and transportation, bird's nest on the market usually circulates in a dried form and needs to be soaked before stewing. However, long-term soaking will cause the dissolution of soluble proteins in the bird's nest, and it is easy for the bird's nest to lose its gel state, nutritional components and poor taste, that is, the phenomenon of "turning into water" in the subsequent cooking and sterilization processes.

[0003] Existing judgment methods are mostly traditional sensory evaluations, that is, comprehensively judging the end point of soaking from aspects such as the shape, smell, and taste of the bird's nest, which is experience-dependent, and there are large errors and low efficiency for industrial production; there is also a method of determining the soaking time and swelling ratio by detecting the content of sialic acid, but this method has high requirements for detection technology and equipment. Summary of the Invention

[0004] In view of this, the present invention aims to propose a method for monitoring the soaking process of bird's nest, especially a method for predicting the soaking time and swelling ratio of bird's nest, in order to solve at least one of the above partial technical problems.

[0005] To achieve the above object, the technical solution of the present invention is realized as follows:

[0006] The first aspect of the present invention provides a method for monitoring the soaking process of bird's nest (i.e., a method for predicting the soaking time and swelling ratio of bird's nest), including the following steps:

[0007] S1. Collect microscopic images of the bird's nest;

[0008] S2. Collect the average total optical density and the average bright-dark area ratio of the microscopic images;

[0009] S3. Identify the neatness of the arrangement of bird's nest fibers and the standard deviation of the fiber spacing distribution in the microscopic images;

[0010] S4. Compare the average total optical density, the average bright-dark area ratio, the neatness of the arrangement of bird's nest fibers, and the standard deviation of the fiber spacing distribution obtained in S2 and S3 with the soaking comparison table to obtain the predicted soaking time and swelling ratio of the bird's nest.

[0011] Further, in S1, a microscopic image of the soaked bird's nest is taken with a 100-fold optical microscope.

[0012] Further, in S2, the microscopic images collected in S1 are analyzed by ImageJ software to obtain the average total optical density value and the average bright-dark area ratio.

[0013] Further, the steps of identifying the neatness of the arrangement of edible bird's nest fibers in the microscopic image in S3 are as follows:

[0014] S311. Perform Gaussian blur processing on the microscopic image of the edible bird's nest collected in S1;

[0015] S312. Apply the Canny edge detection method to extract the edges of the edible bird's nest fibers in the sub-image;

[0016] S313. Divide the microscopic image into multiple sub-images;

[0017] S314. Use the Hough transform to detect the edge lines of the edible bird's nest fibers in the sub-image;

[0018] S315. Calculate the slopes of the edge lines of each sub-image;

[0019] S35. Calculate the standard deviation of the slopes of the edge lines of multiple sub-images. The smaller the standard deviation, the higher the neatness of the fiber arrangement.

[0020] Further, the steps of identifying the standard deviation of the distribution of the spacing between edible bird's nest fibers in the microscopic image in S3 are as follows:

[0021] S321. Crop the bright area of the microscopic image;

[0022] S322. Adjust the brightness and contrast to make the features in the image more obvious;

[0023] S323. By setting a threshold, make the target area in the bright area display white and the background display black;

[0024] S324. Divide the microscopic image into multiple sub-images, rotate the sub-images to make the edge lines of the edible bird's nest fibers horizontally set, set multiple vertical lines, and extract and record the coordinate information of all points that do not exceed the threshold;

[0025] Calculate the coordinate information as multiple continuous coordinate data groups. The difference between the maximum value of the Y coordinates and the maximum value of the Y coordinates in each coordinate data group represents the spacing between two edible bird's nest fibers. Calculate the standard deviation of multiple such spacings between edible bird's nest fibers.

[0026] Further, the steps of identifying the standard deviation of the distribution of the spacing between edible bird's nest fibers in the microscopic image in S3 are as follows:

[0027] S321. Crop the bright area of the microscopic image;

[0028] S322. Adjust the brightness and contrast to make the features in the image more obvious;

[0029] S323. By setting a threshold value, the target area in the bright area is displayed as white and the background is displayed as black;

[0030] S324. The microscopic image is divided into multiple sub-images. Rotate the sub-image recognition to set the edge line of the bird's nest fiber horizontally, set multiple vertical lines, and extract and record the coordinate information of all points not exceeding the threshold value;

[0031] S325. Calculate the coordinate information as multiple continuous coordinate data groups. The difference between the maximum value of the Y coordinates and the maximum value of the Y coordinates in each coordinate data group represents a bird's nest fiber spacing, and use a histogram to statistically analyze multiple bird's nest fiber spacings.

[0032] Furthermore, the soaking comparison table includes a light transmittance grading standard, a fiber arrangement regularity grading standard, and a fiber spacing distribution standard deviation grading standard;

[0033] The average total light density grading standard is as follows:

[0034] The first light transmittance, the average total light density is greater than 5×10 5 , and the average dark-light area ratio is greater than 5.5%;

[0035] The second light transmittance, the average total light density is less than or equal to 5×10 5 , the average total light density is greater than or equal to 4×10 5 , the average dark-light area is less than or equal to 5.5%, and the average dark-light area is greater than or equal to 5%;

[0036] The third light transmittance, the average total light density is less than 4×10 5 , and the average dark-light area ratio is less than 5%;

[0037] The fiber arrangement regularity grading standard is as follows:

[0038] The first regularity, the standard deviation of the slopes of the edge lines of multiple sub-images is less than 0.4;

[0039] The second regularity, the standard deviation of the slopes of the edge lines of multiple sub-images is greater than or equal to 0.4 and less than or equal to 0.6;

[0040] The third regularity, the standard deviation of the slopes of the edge lines of multiple sub-images is greater than 0.6;

[0041] The fiber spacing distribution standard deviation grading standard is as follows:

[0042] The first inter-spacing divergence, the distribution of the fiber spacing histogram is unimodal;

[0043] The second inter-spacing divergence, the distribution of the fiber spacing histogram is bimodal;

[0044] The third inter - distance divergence, the histogram distribution of fiber spacing is multi - peak;

[0045] The bird's nest with the second regularity is a first - class bird's nest. When the bird's nest has the first light transmittance and the second inter - distance divergence, the soaking time and swelling ratio of the first - class bird's nest are as follows:

[0046] When the soaking time of the first - class bird's nest is 1.5 h, the swelling ratio of the bird's nest is 4.5 - 5.2;

[0047] When the soaking time of the first - class bird's nest is 2 h, the swelling ratio of the bird's nest is 5.5 - 6.2;

[0048] When the soaking time of the first - class bird's nest is 3 h, the swelling ratio of the bird's nest is 6.5 - 7.2;

[0049] The bird's nest with the first regularity is a second - class bird's nest. When the bird's nest has the second light transmittance and the first inter - distance divergence, the soaking time and swelling ratio of the second - class bird's nest are as follows:

[0050] When the soaking time of the second - class bird's nest is 1.5 h, the swelling ratio of the bird's nest is 5 - 6;

[0051] When the soaking time of the second - class bird's nest is 2 h, the swelling ratio of the bird's nest is 6 - 7;

[0052] When the soaking time of the second - class bird's nest is 3 h, the swelling ratio of the bird's nest is 7 - 8;

[0053] The bird's nest with the third regularity is a third - class bird's nest. When the bird's nest has the first light transmittance and the second inter - distance divergence, the soaking time and swelling ratio of the third - class bird's nest are as follows:

[0054] When the soaking time of the third - class bird's nest is 1.5 h, the swelling ratio of the bird's nest is 4.2 - 5;

[0055] When the soaking time of the third - class bird's nest is 2 h, the swelling ratio of the bird's nest is 4.5 - 5.2;

[0056] When the soaking time of the third - class bird's nest is 3 h, the swelling ratio of the bird's nest is 4.8 - 5.4.

[0057] The second aspect of the present invention provides an electronic device, including a processor and a memory communicatively connected to the processor and used for storing instructions executable by the processor. The processor is used to execute the method described in the first aspect above.

[0058] The third aspect of the present invention provides a server, including at least one processor and a memory communicatively connected to the processor. The memory stores instructions executable by the at least one processor. The instructions are executed by the processor so that the at least one processor executes the method described in the first aspect.

[0059] In the fourth aspect of the present invention, there is provided a computer-readable storage medium storing a computer program, which when executed by a processor implements the method described in the first aspect.

[0060] Compared with the prior art, the method for monitoring the bird's nest soaking process according to the present invention has the following beneficial effects:

[0061] The method for monitoring the bird's nest soaking process according to the present invention can more accurately predict the soaking time of the bird's nest by analyzing the microscopic image features of the bird's nest, avoid over-soaking or under-soaking, and can soak according to the predicted time, reducing the trial-and-error time and improving the soaking efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0063] Figure 1 It is a schematic flow chart of the method according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0064] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments may be combined with each other.

[0065] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0066] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood through specific situations.

[0067] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0068] Embodiment 1:

[0069] A method for predicting the soaking time and swelling ratio of bird's nest, comprising the following steps:

[0070] S1. Collect the microscopic image of the bird's nest;

[0071] S2. Collect the average total optical density and the average bright-dark area ratio of the microscopic image;

[0072] S3. Identify the neatness of the arrangement of bird's nest fibers and the standard deviation of the fiber spacing distribution in the microscopic image;

[0073] S4. Compare the average total optical density, the average bright-dark area ratio, the neatness of the arrangement of bird's nest fibers, and the standard deviation of the fiber spacing distribution obtained in S2 and S3 with the soaking comparison table to obtain the predicted soaking time and swelling ratio of the bird's nest.

[0074] In S1, a microscopic image of the soaked bird's nest is taken using a 100-fold optical microscope.

[0075] In S2, the microscopic image collected in S1 is analyzed by ImageJ software to obtain the average total optical density value and the average bright-dark area ratio.

[0076] The steps for identifying the neatness of the arrangement of bird's nest fibers in S3 include the following:

[0077] S311. Perform Gaussian blur processing on the microscopic image of the bird's nest collected in S1;

[0078] S312. Apply the Canny edge detection method to extract the edges of the bird's nest fibers in the sub-image;

[0079] S313. Divide the microscopic image into multiple sub-images;

[0080] S314. Use the Hough transform to detect the edge lines of the bird's nest fibers in the sub-image;

[0081] S315. Calculate the slope of the edge line of each sub-image;

[0082] S35. Calculate the standard deviation of the slopes of the edge lines of multiple sub-images. The smaller the standard deviation, the higher the fiber arrangement regularity.

[0083] In some embodiments, the steps of identifying the standard deviation of the distribution of the spacing between edible bird's nest fibers in the microscopic image in S3 are as follows:

[0084] S321. Crop the bright area of the microscopic image;

[0085] S322. Adjust the brightness and contrast to make the features in the image more obvious;

[0086] S323. By setting a threshold, make the target area in the bright area display white and the background display black;

[0087] S324. Divide the microscopic image into multiple sub-images, rotate the sub-image recognition to horizontally set the edge lines of the edible bird's nest fibers, set multiple vertical lines, and extract and record the coordinate information of all points that do not exceed the threshold;

[0088] Calculate that the coordinate information is multiple continuous coordinate data groups. The difference between the maximum value of the Y coordinates and the maximum value of the Y coordinates in each coordinate data group represents the spacing between one edible bird's nest fiber. Calculate the standard deviation of multiple edible bird's nest fiber spacings.

[0089] In other embodiments, the steps of identifying the standard deviation of the distribution of the spacing between edible bird's nest fibers in the microscopic image in S3 are as follows:

[0090] S321. Crop the bright area of the microscopic image;

[0091] S322. Adjust the brightness and contrast to make the features in the image more obvious;

[0092] S323. By setting a threshold, make the target area in the bright area display white and the background display black;

[0093] S324. Divide the microscopic image into multiple sub-images, rotate the sub-image recognition to horizontally set the edge lines of the edible bird's nest fibers, set multiple vertical lines, and extract and record the coordinate information of all points that do not exceed the threshold;

[0094] S325. Calculate that the coordinate information is multiple continuous coordinate data groups. The difference between the maximum value of the Y coordinates and the maximum value of the Y coordinates in each coordinate data group represents the spacing between one edible bird's nest fiber. Use a histogram to statistically analyze multiple edible bird's nest fiber spacings.

[0095] The above soaking conditions are that the volume ratio of the soaking water to the mass of the edible bird's nest is 20 mL:1 g;

[0096] The temperature of the soaking water is 25 °C;

[0097] The forms of bird's nest include one or several of bird's nest cups, bird's nest strips and bird's nest cakes;

[0098] The bird's nest is a structurally complete bird's nest without mildew, peculiar smell and impurities;

[0099] The soaking comparison table includes the light transmittance grading standard, the fiber arrangement regularity grading standard, and the fiber spacing distribution standard deviation grading standard;

[0100] The average total light density grading standard is as follows:

[0101] The first light transmittance, the average total light density is greater than 5×10 5 , and the average dark-to-bright area ratio is greater than 5.5%;

[0102] The second light transmittance, the average total light density is less than or equal to 5×10 5 , the average total light density is greater than or equal to 4×10 5 , the average dark-to-bright area is less than or equal to 5.5%, and the average dark-to-bright area is greater than or equal to 5%;

[0103] The third light transmittance, the average total light density is less than 4×10 5 , and the average dark-to-bright area ratio is less than 5%;

[0104] The fiber arrangement regularity grading standard is as follows:

[0105] The first regularity, the standard deviation of the slopes of the straight lines at the edges of multiple sub-images is less than 0.4;

[0106] The second regularity, the standard deviation of the slopes of the straight lines at the edges of multiple sub-images is greater than or equal to 0.4 and less than or equal to 0.6;

[0107] The third regularity, the standard deviation of the slopes of the straight lines at the edges of multiple sub-images is greater than 0.6;

[0108] The fiber spacing distribution standard deviation grading standard is as follows:

[0109] In some embodiments:

[0110] The first inter-distance divergence, the fiber spacing histogram distribution is unimodal;

[0111] The second inter-distance divergence, the fiber spacing histogram distribution is bimodal;

[0112] The third inter-distance divergence, the fiber spacing histogram distribution is multimodal;

[0113] In some other embodiments:

[0114] The first inter-distance divergence, the standard deviation of the fiber spacing is less than 0.4;

[0115] The second inter - distance divergence, the standard deviation of the fiber spacing is greater than or equal to 0.4 and less than or equal to 0.6;

[0116] The third inter - distance divergence, the standard deviation of the fiber spacing is greater than 0.6;

[0117] The bird's nest with the second regularity is of the first class. And when the bird's nest has the first light transmittance and the second inter - distance divergence, the soaking time and swelling ratio of the first - class bird's nest are as follows:

[0118] When the soaking time of the first - class bird's nest is 1.5h, the swelling ratio of the bird's nest is 4.5 - 5.2;

[0119] When the soaking time of the first - class bird's nest is 2h, the swelling ratio of the bird's nest is 5.5 - 6.2;

[0120] When the soaking time of the first - class bird's nest is 3h, the swelling ratio of the bird's nest is 6.5 - 7.2;

[0121] When the light transmittance and inter - distance divergence of the first - class bird's nest are not within the above intervals, the soaking time and swelling ratio need to be calculated separately;

[0122] The bird's nest with the first regularity is of the second class. And when the bird's nest has the second light transmittance and the first inter - distance divergence, the soaking time and swelling ratio of the second - class bird's nest are as follows:

[0123] When the soaking time of the second - class bird's nest is 1.5h, the swelling ratio of the bird's nest is 5 - 6;

[0124] When the soaking time of the second - class bird's nest is 2h, the swelling ratio of the bird's nest is 6 - 7;

[0125] When the soaking time of the second - class bird's nest is 3h, the swelling ratio of the bird's nest is 7 - 8;

[0126] When the light transmittance and inter - distance divergence of the second - class bird's nest are not within the above intervals, the soaking time and swelling ratio need to be calculated separately;

[0127] The bird's nest with the third regularity is of the third class. And when the bird's nest has the first light transmittance and the second inter - distance divergence, the soaking time and swelling ratio of the third - class bird's nest are as follows:

[0128] When the soaking time of the third - class bird's nest is 1.5h, the swelling ratio of the bird's nest is 4.2 - 5;

[0129] When the soaking time of the third - class bird's nest is 2h, the swelling ratio of the bird's nest is 4.5 - 5.2;

[0130] When the soaking time of the third - class bird's nest is 3h, the swelling ratio of the bird's nest is 4.8 - 5.4.

[0131] When the light transmittance and inter - distance divergence of the third - class bird's nest are not within the above intervals, the soaking time and swelling ratio need to be calculated separately.

[0132] Beneficial effects:

[0133] By analyzing the microscopic image features of bird's nest, the soaking time of bird's nest can be predicted more accurately, avoiding over-soaking or under-soaking. The bird's nest can be soaked according to the predicted time, reducing the trial-and-error time and improving the soaking efficiency.

[0134] Through accurate prediction of the soaking time, it can ensure that the bird's nest reaches the best swelling ratio after soaking, improving the quality and taste of the bird's nest, avoiding waste of bird's nest caused by improper soaking time, and improving the resource utilization rate.

[0135] This method can provide a standardized process for soaking bird's nest, ensuring the consistency and repeatability of each soaking. Through microscopic image analysis, it provides support for the quality control and scientific research of bird's nest.

[0136] Through a large number of microscopic image analyses, it reduces human errors and improves the accuracy of soaking time prediction, ensuring that the soaking time and method are consistent each time, and avoiding inconsistencies caused by human factors.

[0137] Example 2:

[0138] An electronic device includes a processor and a memory communicatively connected to the processor and used for storing instructions executable by the processor. The processor is used to execute the method described in Example 1 above.

[0139] Example 3:

[0140] A server includes at least one processor and a memory communicatively connected to the processor. The memory stores instructions executable by the at least one processor. When the instructions are executed by the processor, the at least one processor is caused to execute the method described in Example 1.

[0141] Example 4:

[0142] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the method described in Example 1 is implemented.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the present practical embodiments, and they should all be covered by the scope of the claims and the description of the present invention.

[0144] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for monitoring the foaming process of bird's nest, characterized in that: The following steps are involved: S1, collect microscopic images of bird's nest; S2, average total optical density and average dark-light area ratio of collected microscopic images; S3, identify the uniformity of bird's nest fiber arrangement and standard deviation of fiber spacing distribution in microscopic images; S4. Use the average total optical density, average dark-to-light area ratio, fiber arrangement uniformity, and fiber spacing distribution standard deviation obtained by S2 and S3 to compare with the foaming reference table to obtain the predicted bird's nest foaming time and hair type.

2. The method according to claim 1, characterized in that: In the S1, a 100x optical microscope is used to take microscopic images of the foamed bird's nest.

3. The method according to claim 1, characterized in that: In S2, the microscopic images collected in S1 are analyzed by ImageJ software to obtain the average total optical density value and the average dark-light area ratio.

4. The method according to claim 3, characterized in that: The identification of the uniformity of the arrangement of bird's nest fibers in the microscopic image in S3 comprises the following steps: S311, performing Gaussian blur processing on the microscopic image of the bird's nest collected in S1; S312, applying the Canny edge detection method to extract the edge of the bird's nest fiber in the sub-image; S313, dividing the microscopic image into a plurality of sub-images; S314, using Hough transform to detect edge straight lines resembling bird's nest fibers in the sub-image; S315, calculating the slope of the edge line of each sub-image; S35, calculating the standard deviation of the slopes of the edge lines of the multiple sub-images, the smaller the standard deviation is, the higher the fiber arrangement uniformity is.

5. The method according to claim 4, characterized in that The steps of identifying the standard deviation of the bird's nest fiber spacing distribution in the microscopic image in S3 are as follows: S321, cropping the bright area of ​​the microscopic image; S322, adjust brightness and contrast to make features in the image more obvious; S323, by setting a threshold, the target area in the bright area is displayed as white and the background is displayed as black; S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-image recognition so that the edge straight line of the bird's nest fiber is set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold value; The coordinate information is calculated as a plurality of continuous coordinate data groups, the difference between the maximum value of the Y coordinate and the maximum value of the Y coordinate in each coordinate data group represents a bird's nest fiber spacing, and the standard deviation of the plurality of bird's nest fiber spacings is calculated.

6. The method according to claim 1, characterized in that The steps of identifying the standard deviation of the bird's nest fiber spacing distribution in the microscopic image in S3 are as follows: S321, cropping the bright area of ​​the microscopic image; S322, adjust brightness and contrast to make features in the image more obvious; S323, by setting a threshold, the target area in the bright area is displayed as white and the background is displayed as black; S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-image recognition so that the edge straight line of the bird's nest fiber is set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold value; S325, calculating the coordinate information into multiple continuous coordinate data groups, the difference between the maximum value of the Y coordinate in each coordinate data group and the maximum value of the Y coordinate represents a bird's nest fiber spacing, and using a bar graph to count multiple bird's nest fiber spacings.

7. The method according to claim 1, characterized in that: The foaming comparison table includes the grading standards for light transmittance, fiber arrangement uniformity, and fiber spacing distribution standard deviation. The average total optical density classification standards are as follows: The first transmittance, the average total optical density is greater than 5×10 5 , the average dark-light area ratio is greater than 5.5%; The second transmittance, the average total optical density is less than or equal to 5×10 5 The average total optical density is greater than or equal to 4×10 5 , the average dark-light area is less than or equal to 5.5%, and the average dark-light area is greater than or equal to 5%; The third transmittance, the average total optical density is less than 4×10 5 , the average dark-light area ratio is less than 5%; The fiber arrangement uniformity grading standards are as follows: The first uniformity is that the standard deviation of the slopes of the edge lines of multiple sub-images is less than 0.4; The second uniformity is that the standard deviation of the slopes of the edge lines of the plurality of sub-images is greater than or equal to 0.4 and less than or equal to 0.6; The third neatness is that the standard deviation of the slopes of the edges of multiple sub-images is greater than 0.6; The fiber spacing distribution standard deviation classification standards are as follows: The first spacing dispersion, the fiber spacing histogram distribution is unimodal; The second spacing dispersion, the fiber spacing histogram distribution is bimodal; The third spacing dispersion, the fiber spacing histogram distribution is multi-peaked; The bird's nest of the second uniformity is a type of bird's nest, and when the bird's nest is of the first light transmittance and the second spacing dispersion, the foaming time and the hair growth of the type of bird's nest are as follows: When the first type of bird's nest is soaked for 1.5 hours, the size of the bird's nest is 4.5-5.2; When the first type of bird's nest is soaked for 2 hours, the volume of the bird's nest is 5.5-6.2; When the first type of bird's nest is soaked for 3 hours, the volume of the bird's nest is 6.5-7.2; The bird's nest with the first uniformity is the second type of bird's nest, and when the bird's nest is the second light transmittance and the first spacing dispersion, the foaming time and the hair growth of the second type of bird's nest are as follows: When the second type of bird's nest is soaked for 1.5 hours, the size of the bird's nest is 5-6; When the second type of bird's nest is soaked for 2 hours, the head size of the bird's nest is 6-7; The second type of bird's nest has a swelling time of 7-8 hours when it is soaked for 3 hours; The third uniformity bird's nest is the third type of bird's nest, and when the bird's nest is the first light transmittance and the second spacing dispersion, the foaming time and hair growth of the three types of bird's nest are as follows: When the third type of bird's nest is soaked for 1.5 hours, the volume of the bird's nest is 4.2-5; When the third type of bird's nest is soaked for 2 hours, the volume of the bird's nest is 4.5-5.2; When the three types of bird's nests are soaked for 3 hours, the volume of the bird's nest is 4.8-5.

4.

8. An electronic device, comprising a processor and a memory connected to the processor for storing instructions executable by the processor, characterized in that: The processor is used to execute the method described in any one of claims 1 to 7.

9. A server, characterized in that: It includes at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the method according to any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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