A monitoring method for bird's nest soaking process

Abstract

The present invention provides a method for monitoring the expansion process of bird's nests, particularly a method for predicting the expansion time and growth of bird's nests, comprising the following steps: S1, collecting a microscopic image of the bird's nest; S2, collecting the average total optical density and average dark-to-light area ratio of the microscopic image; S3, identifying the bird's nest fiber arrangement uniformity and the standard deviation of the fiber spacing distribution in the microscopic image; S4, using the average total optical density, average dark-to-light area ratio, fiber arrangement uniformity, and fiber spacing distribution standard deviation obtained in S2 and S3 to compare with a expansion comparison table to obtain a predicted expansion time and growth of the bird's nest. The present invention has the following beneficial effects: By analyzing the microscopic image features of the bird's nest, the expansion time of the bird's nest can be more accurately predicted, over-expansion or under-expansion can be avoided, and expansion can be performed according to the predicted time, reducing trial and error time and improving expansion efficiency.

Description

Technical Field

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

[0002] Bird's nest has received widespread attention in the food industry due to its rich nutritional ingredients. In order to facilitate storage and transportation, bird's nests on the market are usually circulated in the form of dry products. They need to be soaked before stewing. However, prolonged soaking will cause the soluble protein in the bird's nest to dissolve. In the subsequent maturation and sterilization steps, the bird's nest will easily fail to maintain a gel state, lose its nutritional ingredients and have a poor taste, which is the "water" phenomenon.

[0003] Most of the existing judgment methods are traditional sensory evaluation, which is to judge the soaking end point by comprehensively considering the shape, smell, taste and other aspects of the bird's nest. It is experience-dependent and has large errors and low efficiency for industrial production. There is also a method of determining the soaking time and the head by detecting the content of bird's nest 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 bird's nest soaking process, in particular a method for predicting the soaking time and the length of the bird's nest, in order to solve at least one of the above-mentioned technical problems.

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

[0006] A first aspect of the present invention provides a method for monitoring the bird's nest foaming process (i.e., a method for predicting the foaming time and foaming length of the bird's nest), comprising the following steps:

[0007] S1, collect microscopic images of bird's nest;

[0008] S2, average total optical density and average dark-to-light area ratio of collected microscopic images;

[0009] S3, identify the uniformity of bird's nest fiber arrangement and the standard deviation of fiber spacing distribution in the microscopic image;

[0010] S4. Use the average total optical density, average dark-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 length.

[0011] Furthermore, in S1, a 100x optical microscope is used to take a microscopic image of the expanded bird's nest.

[0012] Furthermore, 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-to-light area ratio.

[0013] Furthermore, the step of identifying the uniformity of arrangement of bird's nest fibers in the microscopic image in S3 includes the following steps:

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

[0015] S312, applying the Canny edge detection method to extract the edge of the bird's nest fiber in the sub-image;

[0016] S313, dividing the microscopic image into a plurality of sub-images;

[0017] S314, using Hough transform to detect edge straight lines resembling bird's nest fibers in the sub-image;

[0018] S315, calculating the slope of the edge line of each sub-image;

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

[0020] Furthermore, the step of identifying the standard deviation of the bird's nest fiber spacing distribution in the microscopic image in S3 is as follows:

[0021] S321, cropping the bright areas of the microscopic image;

[0022] S322, adjust brightness and contrast to make features in the image more distinct;

[0023] S323, by setting a threshold, making the target area in the bright area appear white and the background appear black;

[0024] S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-images to identify the bird's nest fiber edges so that the straight lines are set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold;

[0025] The coordinate information is calculated as multiple 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 multiple bird's nest fiber spacings is calculated.

[0026] Furthermore, the step of identifying the standard deviation of the bird's nest fiber spacing distribution in the microscopic image in S3 is as follows:

[0027] S321, cropping the bright areas of the microscopic image;

[0028] S322, adjust brightness and contrast to make features in the image more distinct;

[0029] S323, by setting a threshold, making the target area in the bright area appear white and the background appear black;

[0030] S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-images to identify the bird's nest fiber edges so that the straight lines are set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold;

[0031] S325. Calculate the coordinate information as multiple 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 use a histogram to count multiple bird's nest fiber spacings.

[0032] Furthermore, the foaming comparison table includes the grading standards for light transmittance, fiber arrangement uniformity, and fiber spacing distribution standard deviation;

[0033] The average total optical density grading standards are as follows:

[0034] First transmittance, average total optical density greater than 5×10 5 , the average dark-to-light area ratio is greater than 5.5%;

[0035] 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%;

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

[0037] The fiber arrangement uniformity grading standards are as follows:

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

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

[0040] The third neatness is that 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 classification standards are as follows:

[0042] The first spacing dispersion, the fiber spacing histogram distribution is unimodal;

[0043] The second spacing dispersion, the fiber spacing histogram distribution is bimodal;

[0044] The third spacing dispersion, the fiber spacing histogram distribution is multimodal;

[0045] The second uniformity bird's nest is a type of bird's nest, and when the bird's nest is the first transmittance and the second spacing dispersion, the soaking time and the growth of the type of bird's nest are as follows:

[0046] When the soaking time of the first type of bird's nest is 1.5 hours, the hair volume of the bird's nest is 4.5-5.2;

[0047] When the first type of bird's nest is soaked for 2 hours, the hair volume is 5.5-6.2;

[0048] When the first type of bird's nest is soaked for 3 hours, the hair volume is 6.5-7.2;

[0049] The bird's nest with the first uniformity is the second type of bird's nest, and when the bird's nest has the second light transmittance and the first spacing dispersion, the soaking time and the swelling of the second type of bird's nest are as follows:

[0050] The second type of bird's nest has 5-6 hairs when it is soaked for 1.5 hours;

[0051] The second type of bird's nest has a foaming time of 2 hours and the size of the bird's nest is 6-7;

[0052] The second type of bird's nest has a foaming time of 3 hours and the size of the bird's nest is 7-8;

[0053] The third degree of uniformity is the third type of bird's nest, and when the bird's nest is the first degree of transmittance and the second degree of spacing dispersion, the soaking time and the hair growth of the three types of bird's nest are as follows:

[0054] When the third type of bird's nest is soaked for 1.5 hours, the hair volume of the bird's nest is 4.2-5;

[0055] When the third type of bird's nest is soaked for 2 hours, the hair volume is 4.5-5.2;

[0056] When the third type of bird's nest is soaked for 3 hours, the volume of the bird's nest is 4.8-5.4.

[0057] A second aspect of the present invention provides an electronic device, comprising a processor and a memory communicatively connected to the processor and configured to store instructions executable by the processor, wherein the processor is configured to execute the method described in the first aspect.

[0058] The third aspect of the present invention provides a server, comprising 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 to enable the at least one processor to execute the method described in the first aspect.

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

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

[0061] The method for monitoring the foaming process of bird's nests described in the present invention can more accurately predict the foaming time of the bird's nests by analyzing the microscopic image characteristics of the bird's nests, thereby avoiding over-foaming or under-foaming. Foaming can be performed according to the predicted time, reducing trial and error time and improving foaming efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings, which constitute part of the present invention, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 The figure is a flow chart of the method described in the embodiment of the present invention. DETAILED DESCRIPTION

[0064] It should be noted that, in the absence of conflict, the embodiments of 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", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying 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 therefore cannot be understood as limiting 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. Therefore, features defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0066] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

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

[0068] Example 1:

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

[0070] S1, collect microscopic images of bird's nest;

[0071] S2, average total optical density and average dark-to-light area ratio of collected microscopic images;

[0072] S3, identify the uniformity of bird's nest fiber arrangement and the standard deviation of fiber spacing distribution in the microscopic image;

[0073] S4. Use the average total optical density, average dark-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 length.

[0074] In the S1, a 100x optical microscope is used to take microscopic images of the foamed bird's nest.

[0075] 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-to-light area ratio.

[0076] The identification of the uniformity of the arrangement of bird's nest fibers in the microscopic image in S3 comprises the following steps:

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

[0078] S312, applying the Canny edge detection method to extract the edge of the bird's nest fiber in the sub-image;

[0079] S313, dividing the microscopic image into a plurality of sub-images;

[0080] S314, using Hough transform to detect edge straight lines resembling bird's nest fibers in the sub-image;

[0081] S315, calculating the slope of the edge line of each sub-image;

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

[0083] In some embodiments, the step of identifying the standard deviation of the bird's nest fiber spacing distribution in the microscopic image in S3 is as follows:

[0084] S321, cropping the bright areas of the microscopic image;

[0085] S322, adjust brightness and contrast to make features in the image more distinct;

[0086] S323, by setting a threshold, making the target area in the bright area appear white and the background appear black;

[0087] S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-images to identify the bird's nest fiber edges so that the straight lines are set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold;

[0088] The coordinate information is calculated as multiple 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 multiple bird's nest fiber spacings is calculated.

[0089] In some other embodiments, the step of identifying the standard deviation of the bird's nest fiber spacing distribution in the microscopic image in S3 is as follows:

[0090] S321, cropping the bright areas of the microscopic image;

[0091] S322, adjust brightness and contrast to make features in the image more distinct;

[0092] S323, by setting a threshold, making the target area in the bright area appear white and the background appear black;

[0093] S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-images to identify the bird's nest fiber edges so that the straight lines are set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold;

[0094] S325. Calculate the coordinate information as multiple 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 use a histogram to count multiple bird's nest fiber spacings.

[0095] The above-mentioned soaking conditions are as follows: the volume of the soaking water and the mass ratio of the bird's nest is 20mL:1g;

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

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

[0098] The bird's nest is complete in structure, free of mold, odor and impurities;

[0099] The foaming comparison table includes the grading standards for light transmittance, fiber arrangement uniformity, and fiber spacing distribution standard deviation;

[0100] The average total optical density grading standards are as follows:

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

[0102] 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%;

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

[0104] The fiber arrangement uniformity grading standards are as follows:

[0105] First, the standard deviation of the slopes of the edge lines of multiple sub-images is less than 0.4;

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

[0107] The third neatness is that the standard deviation of the slopes of the edge lines of multiple sub-images is greater than 0.6;

[0108] The fiber spacing distribution standard deviation classification standards are as follows:

[0109] In some embodiments:

[0110] The first spacing dispersion, the fiber spacing histogram distribution is unimodal;

[0111] The second spacing dispersion, the fiber spacing histogram distribution is bimodal;

[0112] The third spacing dispersion, the fiber spacing histogram distribution is multimodal;

[0113] In other embodiments:

[0114] The first spacing dispersion, the standard deviation of fiber spacing is less than 0.4;

[0115] The second spacing dispersion, 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 spacing dispersion, the standard deviation of the fiber spacing is greater than 0.6;

[0117] The second uniformity bird's nest is a type of bird's nest, and when the bird's nest is the first transmittance and the second spacing dispersion, the soaking time and the growth of the type of bird's nest are as follows:

[0118] When the soaking time of the first type of bird's nest is 1.5 hours, the hair volume of the bird's nest is 4.5-5.2;

[0119] When the first type of bird's nest is soaked for 2 hours, the hair volume is 5.5-6.2;

[0120] When the first type of bird's nest is soaked for 3 hours, the hair volume is 6.5-7.2;

[0121] When the light transmittance and spacing dispersion of a type of bird's nest are not within the above range, its soaking time and swelling time need to be calculated separately;

[0122] The bird's nest with the first uniformity is the second type of bird's nest, and when the bird's nest has the second light transmittance and the first spacing dispersion, the soaking time and the swelling of the second type of bird's nest are as follows:

[0123] The second type of bird's nest has 5-6 hairs when it is soaked for 1.5 hours;

[0124] The second type of bird's nest has a foaming time of 2 hours and the size of the bird's nest is 6-7;

[0125] The second type of bird's nest has a foaming time of 3 hours and the size of the bird's nest is 7-8;

[0126] When the transmittance and spacing dispersion of the second-class bird's nest are not within the above range, its soaking time and hair length need to be calculated separately;

[0127] The third degree of uniformity is the third type of bird's nest, and when the bird's nest is the first degree of transmittance and the second degree of spacing dispersion, the soaking time and the hair growth of the three types of bird's nest are as follows:

[0128] When the third type of bird's nest is soaked for 1.5 hours, the hair volume of the bird's nest is 4.2-5;

[0129] When the third type of bird's nest is soaked for 2 hours, the hair volume is 4.5-5.2;

[0130] When the third type of bird's nest is soaked for 3 hours, the volume of the bird's nest is 4.8-5.4.

[0131] When the transmittance and spacing dispersion of the three types of bird's nests are not within the above range, their soaking time and hair length need to be calculated separately.

[0132] Beneficial effects:

[0133] By analyzing the microscopic image characteristics of bird's nests, the soaking time of bird's nests can be predicted more accurately to avoid over-soaking or under-soaking. Soaking can be carried out according to the predicted time, reducing trial and error time and improving soaking efficiency.

[0134] By accurately predicting the soaking time, we can ensure that the bird's nest reaches the best head after soaking, improve the quality and taste of the bird's nest, avoid the waste of bird's nest due to improper soaking time, and improve resource utilization.

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

[0136] Through a large number of microscopic image analyses, human errors are reduced and the accuracy of foaming time prediction is improved, ensuring that the time and method of foaming 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 configured to store instructions executable by the processor, wherein the processor is configured to execute the method described in the first embodiment above.

[0139] Example 3:

[0140] A server 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 to enable the at least one processor to perform the method described in Example 1.

[0141] Example 4:

[0142] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the method described in embodiment 1.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

[0144] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for monitoring the bird's nest foaming process, characterized in that: The following steps are involved: S1, collect microscopic images of bird's nest; S2, average total optical density and average dark-to-light area ratio of collected microscopic images; S3, identify the uniformity of bird's nest fiber arrangement and the standard deviation of fiber spacing distribution in the microscopic image; S4. Use the average total optical density, average dark-light area ratio, fiber arrangement uniformity, and fiber spacing distribution standard deviation obtained in S2 and S3 to compare with the foaming reference table to obtain the predicted bird's nest foaming time and hair length; 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; 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. 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 areas of the microscopic image; S322, adjust brightness and contrast to make features in the image more distinct; S323, by setting a threshold, making the target area in the bright area appear white and the background appear black; S324, dividing the microscopic image into a plurality of sub-images, rotating the sub-images to identify the bird's nest fiber edges so that the straight lines are set horizontally, setting a plurality of vertical lines, and extracting and recording the coordinate information of all points that do not exceed the threshold; The coordinate information is calculated as multiple continuous coordinate data groups, and 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. The standard deviation of multiple bird's nest fiber spacings is calculated or the standard deviation of multiple bird's nest fiber spacings is calculated using a bar chart to count multiple bird's nest fiber spacings.

2. The method according to claim 1, wherein: 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, wherein: 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-to-light area ratio.

4. The method according to claim 1, wherein: 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 grading standards are as follows: First transmittance, average total optical density greater than 5×10 5 , the average dark-to-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-to-light area ratio is less than 5%; The fiber arrangement uniformity grading standards are as follows: First, the standard deviation of the slopes of the edge lines of multiple sub-images is less than 0.4; The second regularity is that the standard deviation of the slopes of the edge lines of the multiple 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 edge lines 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 multimodal; The second uniformity bird's nest is a type of bird's nest, and when the bird's nest is the first transmittance and the second spacing dispersion, the soaking time and the growth of the type of bird's nest are as follows: When the soaking time of the first type of bird's nest is 1.5 hours, the hair volume of the bird's nest is 4.5-5.2; When the first type of bird's nest is soaked for 2 hours, the hair volume is 5.5-6.2; When the first type of bird's nest is soaked for 3 hours, the hair volume 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 has the second light transmittance and the first spacing dispersion, the soaking time and the swelling of the second type of bird's nest are as follows: The second type of bird's nest has 5-6 hairs when it is soaked for 1.5 hours; The second type of bird's nest has a foaming time of 2 hours and the size of the bird's nest is 6-7; The second type of bird's nest has a foaming time of 3 hours and the size of the bird's nest is 7-8; The third degree of uniformity is the third type of bird's nest, and when the bird's nest is the first degree of transmittance and the second degree of spacing dispersion, the soaking time and the 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 hair volume of the bird's nest is 4.2-5; When the third type of bird's nest is soaked for 2 hours, the hair volume is 4.5-5.2; When the third type of bird's nest is soaked for 3 hours, the volume of the bird's nest is 4.8-5.

4.

5. An electronic device comprising a processor and a memory in communication with the processor and configured to store instructions executable by the processor, wherein: The processor is configured to execute the method according to any one of claims 1 to 4.

6. A server, characterized in that: The method comprises at least one processor and a memory in communication with 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 to 4.

7. 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 4 is implemented.

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