Selenium-rich egg intelligent storage and management method and system

Through intelligent storage technology, selenium-rich eggs are screened and managed, the problems of low efficiency and poor safety of traditional methods are solved, and efficient and safe egg management and freshness are achieved.

CN119837060AInactive Publication Date: 2025-04-18PINGDING COUNTY HUASHENG AGRI & ANIMAL HUSBANDRY TECH CO LTD
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Patent Information

Application Number
CN202510329632.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-20
Publication Date
2025-04-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional egg storage methods are inefficient and have poor accuracy, are susceptible to environmental influences, and are difficult to achieve real-time and dynamic monitoring, making it difficult to effectively manage the quality and safety of selenium-rich eggs.

Method used

Using intelligent storage technology, selenium-rich eggs are screened using near-infrared spectrometers, comprehensive sensors obtain environmental parameters to build a suitable storage environment, closed odor detectors detect eggs, selenium-rich eggs freshness measurement formulas evaluate freshness, and refrigerate, coat or sterilize according to the freshness threshold.

Benefits of technology

It improves the efficiency and safety of egg management, reduces time and human resources consumption, and extends the shelf life and quality of selenium-rich eggs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of egg intelligent storage, in particular to a selenium-rich egg intelligent storage and management method and system.The method comprises the steps that multiple eggs are screened to obtain multiple selenium-rich eggs, the multiple selenium-rich eggs are stored in a suitable storage environment, detection operation is executed, the selenium-rich eggs corresponding to detection data are removed, multiple to-be-detected eggs are obtained, and the multiple to-be-detected eggs are stored in the suitable storage environment; and executing the following operations on each egg to be detected in the plurality of eggs to be detected: obtaining the freshness to be detected, if the freshness to be detected is greater than a second freshness threshold value, guiding into the refrigerating chamber to obtain a refrigerated egg, and if the freshness to be detected is less than or equal to the second freshness threshold value and greater than or equal to the first freshness threshold value, executing coating operation to obtain a coated egg, if the freshness to be detected is smaller than a first freshness threshold value, sterilization operation is executed, packaging operation is executed, packaged eggs are obtained, and intelligent storage and management of the selenium-rich eggs are completed based on the refrigerated egg set, the coated egg set and the packaged egg set. The egg management efficiency and safety can be improved by means of the intelligent storage technology.
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Description

Technical Field

[0001] The present invention relates to the technical field of intelligent storage of eggs, and in particular to a method, system, electronic device and computer-readable storage medium for intelligent storage and management of selenium-enriched eggs. Background Art

[0002] Selenium-enriched eggs are eggs with a higher selenium content than ordinary eggs. Since the selenium in selenium-enriched eggs has antioxidant, immune-enhancing and cardiovascular protective effects, effective management and storage are very necessary to ensure the quality and safety of selenium-enriched eggs.

[0003] Traditional egg storage methods mainly rely on manual inspection and empirical judgment, which are inefficient, inaccurate, and easily affected by the environment. Secondly, traditional egg storage methods are highly sensitive to environmental conditions. The storage environment of eggs needs to be maintained within a specific temperature and humidity range. However, manual monitoring is often difficult to achieve real-time and dynamic monitoring. Therefore, how to use intelligent storage technology to improve the efficiency and safety of egg management is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present invention provides a method for intelligent storage and management of selenium-enriched eggs, the main purpose of which is to improve the efficiency and safety of egg management by means of intelligent storage technology, and to reduce excessive consumption of time and human resources.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for intelligent storage and management of selenium-rich eggs, comprising: identifying multiple eggs to be stored and managed, screening the multiple eggs using a pre-built near-infrared spectrometer to obtain multiple selenium-rich eggs; acquiring environmental parameters using a pre-built integrated sensor, building a suitable storage environment based on the environmental parameters, and storing the multiple selenium-rich eggs in the suitable storage environment to obtain a storage environment; using a pre-built closed odor detector to perform a detection operation on each of the multiple selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then removing one or more selenium-rich eggs corresponding to the detection data in the storage environment; summarizing the selenium-rich eggs retained in the storage environment to obtain multiple eggs to be tested, and performing the following operations on each of the multiple eggs to be tested: using A pre-constructed selenium-enriched egg freshness measurement formula and eggs to be tested obtain the freshness to be tested; obtain a first freshness threshold and a second freshness threshold; respectively compare the freshness to be tested with the first freshness threshold and the second freshness threshold; if the freshness to be tested is greater than the second freshness threshold, the eggs to be tested are introduced into a pre-constructed cold storage room to obtain refrigerated eggs; if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the eggs to be tested to obtain coated eggs; if the freshness to be tested is less than the first freshness threshold, a sterilization operation is performed on the eggs to be tested, and a packaging operation is performed on the sterilized eggs to be tested to obtain packaged eggs; the refrigerated eggs, coated eggs and packaged eggs are respectively summarized to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and the intelligent storage and management of selenium-enriched eggs are completed based on the refrigerated egg set, the coated egg set and the packaged egg set.

[0006] Optionally, the method of using a pre-constructed near-infrared spectrometer to screen the multiple eggs to obtain multiple selenium-enriched eggs includes: performing the following operations on each of the multiple eggs: performing a cleaning operation on the eggs, and performing a drying operation on the cleaned eggs to obtain dry eggs; performing a detection operation on the dry eggs using the near-infrared spectrometer to obtain a detection egg spectrum graph located in a pre-constructed spectral coordinate system, wherein the horizontal axis of the spectral coordinate system is the wave number, and the vertical axis of the spectral coordinate system is the transmittance; dividing the detection egg spectrum graph according to a preset wavelength range to obtain multiple detection egg spectrum data segments, and performing the following operations on each of the multiple detection egg spectrum data segments: performing a smoothing operation on the detection egg spectrum data segment, and using the smoothed detection egg spectrum data to obtain a fitting polynomial, and based on the fitting polynomial The invention relates to a method for obtaining a fitting curve by using a pre-constructed selenium content formula and summarizing the fitting curves to obtain a fitting curve set; performing a splicing operation on the fitting curves in the fitting curve set according to the order of the wavelength ranges corresponding to the fitting curves from the earliest to the latest to obtain target curve data; obtaining an egg spectral data baseline value according to the target curve data, and obtaining a standard egg spectral data set based on the egg spectral data baseline value and the target curve data, wherein the standard egg spectral data set includes one or more standard egg spectral data, wherein the transmittance corresponding to the standard egg spectral data is the same as the egg spectral data baseline value; calculating the selenium content of the dry egg by using a pre-constructed selenium content formula and the standard egg spectral data set, and confirming the dry egg as a selenium-rich egg if the selenium content of the dry egg is greater than or equal to a preset standard selenium threshold value; summarizing the selenium-rich eggs to obtain a plurality of selenium-rich eggs.

[0007] Optionally, the selenium content formula is as follows: ,in, Indicates the selenium content of dried eggs, , , , All represent the preset regression coefficients. , , , Represents the transmittance corresponding to each standard egg data in one or more standard egg spectral data, represents the intercept.

[0008] Optionally, the use of a pre-built integrated sensor to obtain environmental parameters includes: wherein the integrated sensor includes: a temperature sensor, a humidity sensor, a carbon dioxide concentration sensor and an oxygen concentration sensor, and the detection frequency of the integrated sensor is preset; using the integrated sensor to obtain temperature, humidity, carbon dioxide concentration and oxygen concentration, and storing the temperature, humidity, carbon dioxide concentration and oxygen concentration in preset files respectively to obtain multiple files, and performing the following operations on each of the multiple files: reading target data in the file, and storing the target data in a pre-built blank array to obtain a filled array; sorting the filled array using a pre-built bubble sort to obtain a sorted array; optimizing the sorted array to obtain an optimized array; performing the following operations on each pre-built optimized value in the optimized array: performing a format conversion operation on the optimized value to obtain string data, and performing an encryption operation on the string data to obtain an encrypted hash value, and sending the encrypted hash value to a pre-built blockchain to obtain blockchain data, wherein the encryption operation is to encrypt the string data using a hash algorithm; aggregating the blockchain data to obtain a standard file; aggregating the standard files to obtain multiple standard files, and obtaining environmental parameters based on the multiple standard files.

[0009] Optionally, the formula for measuring the freshness of selenium-enriched eggs is as follows: ,in, Indicates the freshness to be tested, Indicates the influence coefficient of the weight of the egg to be tested on the freshness to be tested, Indicates the minimum weight among multiple eggs to be tested. Indicates the weight of the egg to be tested, It represents the influence coefficient of microorganisms on the freshness to be tested, Indicates the transparency index of the egg yolk and egg white of the egg to be tested. Indicates the influence coefficient of humidity in the storage environment on the freshness to be measured, Indicates the eggshell hardness index of the egg to be tested. Indicates the influence coefficient of carbon dioxide concentration in the storage environment on the freshness to be measured, Indicates the carbon dioxide composition index in the storage environment. Indicates the number of days the eggs to be tested have been stored. Indicates the coefficient of influence of the number of days of storage of the eggs to be tested on the freshness to be tested, It indicates the influence coefficient of selenium content in the tested eggs on the tested freshness. Indicates the selenium content in the eggs to be tested.

[0010] Optionally, obtaining the first freshness threshold and the second freshness threshold includes: obtaining multiple historical detection time periods, extracting historical detection time periods from the multiple historical detection time periods in sequence, and performing the following operations on each of the multiple selenium-rich eggs: performing detection on the selenium-rich eggs based on the extracted historical detection time periods to obtain a freshness value, and comparing the freshness value with a preset freshness threshold: if the freshness value is less than the preset freshness threshold, then eliminating the freshness value, summarizing the retained freshness values, and obtaining fresh data; calculating the average and standard deviation of the fresh data, subtracting the average from the standard deviation to obtain the first freshness threshold, and adding the average to the standard deviation to obtain the second freshness threshold.

[0011] Optionally, the optimization sorted array obtains the optimized array, including: extracting target values ​​from the sorted array in turn, and performing the following operations on the target values: extracting adjacent values ​​corresponding to the target value from the sorted array, wherein the adjacent value is the next target value adjacent to the target value in the sorted array; calculating the mean of the target value and the adjacent values, and mapping the mean to a pre-constructed blank smooth array to obtain a smooth value, wherein the position of the smooth value in the smooth array corresponds one-to-one to the position of the target value in the sorted array; after confirming that all pre-constructed positions in the blank smooth array have corresponding smooth values, a smooth array is obtained, and target smooth values ​​are extracted from the smooth array in turn. If the target smooth value is greater than a preset value threshold, the target smooth value is eliminated, multiple target smooth values ​​retained in the smooth array are summarized, and the retained multiple target smooth values ​​are sorted to obtain an optimized array.

[0012] Optionally, the method sterilizes the eggs to be tested and packages the sterilized eggs to be tested to obtain packaged eggs, including: using a pre-constructed sterilization device to sterilize the eggs to be tested to obtain sterilized eggs, and packaging the sterilized eggs to obtain packaged eggs to be tested, wherein the sterilization temperature and sterilization time are preset, and the packaging materials in the packaging operation are preset; using a pre-constructed laser speckle acquisition device and a preset laser wavelength to irradiate the pre-constructed sealing part of the packaged eggs to be tested to obtain a speckle image, using a pre-constructed Gaussian filter to denoise the speckle image to obtain a denoised image, and The image is converted into a grayscale image; a pre-constructed discrete function is used to perform histogram equalization on the grayscale image to obtain a total grayscale value, and a balanced image is obtained based on the total grayscale value; a mean, variance, peak value and skewness are extracted from the balanced image; a preset comprehensive weight is used to multiply the mean, variance, peak value and skewness respectively to obtain an evaluation score, wherein the comprehensive weight includes: a mean weight, a variance weight, a peak value weight and a skewness weight; if it is confirmed that the evaluation score is less than a preset evaluation threshold, the step of performing a packaging operation on the sterilized eggs is returned until the evaluation score is greater than or equal to the preset evaluation threshold, and a packaged egg is obtained.

[0013] Optionally, the discrete function is as follows: ,in, Represents the total gray value, Represents the total number of pixels in the grayscale image. Represents the pixel point of the grayscale image under the index variable, Represents an index variable, Indicates grayscale levels.

[0014] To achieve the above-mentioned purpose, the present invention also provides a selenium-rich egg intelligent storage and management system, comprising: a selenium-rich egg acquisition module, used to identify multiple eggs to be stored and managed, screen the multiple eggs using a pre-built near-infrared spectrometer to obtain multiple selenium-rich eggs, obtain environmental parameters using a pre-built comprehensive sensor, build a suitable storage environment based on the environmental parameters, and store the multiple selenium-rich eggs in a suitable storage environment to obtain a storage environment; an abnormal egg removal module, used to use a pre-built closed odor detector to perform a detection operation on each of the multiple selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then remove one or more selenium-rich eggs corresponding to the detection data in the storage environment; a freshness evaluation module, used to summarize the selenium-rich eggs retained in the storage environment to obtain multiple eggs to be tested, and evaluate each of the multiple eggs to be tested The following operations are performed on the eggs: the freshness to be tested is obtained by using a pre-constructed selenium-enriched egg freshness measurement formula and the eggs to be tested, a first freshness threshold and a second freshness threshold are obtained, the freshness to be tested is compared with the first freshness threshold and the second freshness threshold respectively, if the freshness to be tested is greater than the second freshness threshold, the eggs to be tested are introduced into a pre-constructed cold storage room to obtain refrigerated eggs, if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the eggs to be tested to obtain coated eggs, if the freshness to be tested is less than the first freshness threshold, a sterilization operation is performed on the eggs to be tested, and a packaging operation is performed on the sterilized eggs to be tested to obtain packaged eggs; an egg summary module is used to summarize the refrigerated eggs, coated eggs and packaged eggs respectively to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and complete the intelligent storage and management of selenium-enriched eggs based on the refrigerated egg set, the coated egg set and the packaged egg set.

[0015] In order to solve the above problems, the present invention also provides an electronic device, which includes: a memory storing at least one instruction; and a processor executing the instructions stored in the memory to implement the above-mentioned intelligent storage and management method for selenium-rich eggs.

[0016] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned intelligent storage and management method for selenium-rich eggs.

[0017] Compared with the problems described in the background technology, the present invention first identifies multiple eggs to be stored and managed, and uses a pre-built near-infrared spectrometer to screen the multiple eggs to obtain multiple selenium-rich eggs. The present invention screens multiple eggs through a near-infrared spectrometer to improve the efficiency and accuracy of screening, uses a pre-built comprehensive sensor to obtain environmental parameters, builds a suitable storage environment based on the environmental parameters, and stores the multiple selenium-rich eggs in a suitable storage environment to obtain a storage environment. The present invention creates optimal storage conditions through a comprehensive sensor, thereby extending the shelf life and quality of selenium-rich eggs, and uses a pre-built closed odor detector to detect multiple selenium-rich eggs in the storage environment. A detection operation is performed on each selenium-rich egg in the storage environment to obtain detection data. If the detection data is preset abnormal detection data, one or more selenium-rich eggs corresponding to the detection data are removed from the storage environment. The present invention uses a closed odor detector to detect selenium-rich eggs in the storage environment, and can timely find and remove stale or spoiled selenium-rich eggs, summarize the selenium-rich eggs retained in the storage environment, and obtain a plurality of eggs to be tested. The following operation is performed on each of the plurality of eggs to be tested: a pre-constructed selenium-rich egg freshness measurement formula and the eggs to be tested are used to obtain the freshness to be tested. The present invention uses the selenium-rich egg freshness measurement formula to accurately evaluate the freshness of the eggs to be tested. The freshness of eggs is measured, and a first freshness threshold and a second freshness threshold are obtained. The present invention can distinguish eggs of different freshness levels by determining the first freshness threshold and the second freshness threshold, thereby enhancing the flexibility of management. The freshness to be measured is compared with the first freshness threshold and the second freshness threshold respectively. If the freshness to be measured is greater than the second freshness threshold, the eggs to be measured are introduced into a pre-constructed cold storage room to obtain refrigerated eggs. The eggs to be measured of the present invention are introduced into the cold storage room to effectively preserve freshness and reduce waste. If the freshness to be measured is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the eggs to be measured to obtain coated eggs. The present invention will The coating operation of eggs can effectively increase the shelf life of eggs, reduce the risk of water loss and bacterial infection, and maintain their quality. If the freshness to be tested is less than the first freshness threshold, the eggs to be tested are sterilized, and the sterilized eggs to be tested are packaged to obtain packaged eggs. The sterilization operation of the eggs to be tested can effectively remove harmful microorganisms and improve food safety. The packaging operation can prevent external pollution and extend the shelf life. The refrigerated eggs, coated eggs and packaged eggs are respectively summarized to obtain a refrigerated egg set, a coated egg set and a packaged egg set. Based on the refrigerated egg set, the coated egg set and the packaged egg set, the intelligent storage and management of selenium-enriched eggs are completed. Therefore, the present invention can improve the efficiency and safety of egg management with the help of intelligent storage technology, and reduce the excessive consumption of time and human resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1A schematic diagram of a flow chart of a method for intelligent storage and management of selenium-enriched eggs provided in one embodiment of the present invention; Figure 2 A functional module diagram of a selenium-enriched egg intelligent storage and management system provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device for implementing the method for intelligent storage and management of selenium-enriched eggs provided in one embodiment of the present invention.

[0019] Explanation of the reference numerals: 1. electronic device; 10. processor; 11. memory; 12. bus.

[0020] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0022] The embodiment of the present application provides a method for intelligent storage and management of selenium-enriched eggs. The execution subject of the method for intelligent storage and management of selenium-enriched eggs includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for intelligent storage and management of selenium-enriched eggs can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0023] Reference Figure 1 The figure is a flow chart of a method for intelligent storage and management of selenium-enriched eggs provided by an embodiment of the present invention. In this embodiment, the method for intelligent storage and management of selenium-enriched eggs comprises: S1, identifying a plurality of eggs to be stored and managed, and screening the plurality of eggs using a pre-built near-infrared spectrometer to obtain a plurality of selenium-enriched eggs.

[0024] In detail, the method of using a pre-constructed near-infrared spectrometer to screen the multiple eggs to obtain multiple selenium-rich eggs includes: performing the following operations on each of the multiple eggs: performing a cleaning operation on the eggs, and performing a drying operation on the cleaned eggs to obtain dry eggs; performing a detection operation on the dry eggs using the near-infrared spectrometer to obtain a detection egg spectrum graph located in a pre-constructed spectral coordinate system, wherein the horizontal axis of the spectral coordinate system is the wave number, and the vertical axis of the spectral coordinate system is the transmittance; dividing the detection egg spectrum graph according to a preset wavelength range to obtain multiple detection egg spectrum data segments, and performing the following operations on each of the multiple detection egg spectrum data segments: performing a smoothing operation on the detection egg spectrum data segment, and using the smoothed detection egg spectrum data to obtain a fitting polynomial, and based on the fitting polynomial The invention relates to a method for obtaining a fitting curve by using a pre-constructed selenium content formula and summarizing the fitting curves to obtain a fitting curve set; performing a splicing operation on the fitting curves in the fitting curve set according to the order of the wavelength ranges corresponding to the fitting curves from the earliest to the latest to obtain target curve data; obtaining an egg spectral data baseline value according to the target curve data, and obtaining a standard egg spectral data set based on the egg spectral data baseline value and the target curve data, wherein the standard egg spectral data set includes one or more standard egg spectral data, wherein the transmittance corresponding to the standard egg spectral data is the same as the egg spectral data baseline value; calculating the selenium content of the dry egg by using a pre-constructed selenium content formula and the standard egg spectral data set, and confirming the dry egg as a selenium-rich egg if the selenium content of the dry egg is greater than or equal to a preset standard selenium threshold value; summarizing the selenium-rich eggs to obtain a plurality of selenium-rich eggs.

[0025] It should be explained that the splicing operation refers to the operation of splicing the fitting curves obtained in each of the spectral data segments of multiple tested eggs. A near-infrared spectrometer is an instrument that generates a spectrum diagram based on the absorption and scattering characteristics of eggs to light of different wavelengths by irradiating near-infrared light to eggs. Selenium-enriched eggs refer to eggs with a higher selenium content than ordinary eggs. Cleaning refers to the operation of cleaning impurities on the surface of eggs with clean water. Drying refers to the operation of removing moisture from the surface of eggs after cleaning using a pre-built fan.

[0026] It is understood that the egg detection spectrum refers to the image obtained during the egg detection process using a near infrared spectrometer. Transmittance refers to the ratio of the light intensity after the egg is detected to the incident light intensity. The egg detection spectrum data segment refers to the spectrum data segment that divides the detected pre-constructed complete spectrum into several parts according to the preset wavelength range.

[0027] Importantly, the smoothing operation refers to the operation of making the image of the detected egg spectral data tend to be a straight line. Fitting a polynomial refers to fitting a polynomial based on the data points on the detected egg spectral data segment. The fitting curve set refers to a set formed by summarizing the fitting curves obtained on all the detected egg spectral data segments. The target curve data refers to the data formed by splicing the fitting curves in the fitting curve set in the order of wavelength. The egg spectral data baseline value refers to the value of a point selected along the vertical axis based on the target curve data. The standard egg spectral data set refers to a set of data consisting of the target curve data on the egg spectral data baseline value. The standard selenium threshold refers to a pre-set value used to distinguish between ordinary eggs and selenium-enriched eggs.

[0028] Furthermore, the selenium content formula is as follows: ,in, Indicates the selenium content of dried eggs, , , , All represent the preset regression coefficients. , , , Represents the transmittance corresponding to each standard egg data in one or more standard egg spectral data, represents the intercept.

[0029] It should be explained that the regression coefficient refers to the change in selenium content when the transmittance changes by one unit. The intercept refers to the value of selenium content when all transmittances are zero. One unit means one percent.

[0030] S2. Using a pre-built integrated sensor to obtain environmental parameters, constructing a suitable storage environment based on the environmental parameters, and storing the plurality of selenium-enriched eggs in the suitable storage environment to obtain a storage environment.

[0031] In detail, the method of obtaining environmental parameters by using a pre-built integrated sensor includes: wherein the integrated sensor includes: a temperature sensor, a humidity sensor, a carbon dioxide concentration sensor and an oxygen concentration sensor, and the detection frequency of the integrated sensor is preset; obtaining temperature, humidity, carbon dioxide concentration and oxygen concentration by using the integrated sensor, and storing the temperature, humidity, carbon dioxide concentration and oxygen concentration in preset files respectively to obtain multiple files, and performing the following operations on each of the multiple files: reading target data in the file, and storing the target data in a pre-built blank array to obtain a filled array; sorting the filled array by using a pre-built bubble sort to obtain a sorted array; optimizing the sorted array to obtain a sorted array; performing the following operations on each pre-built optimized value in the optimized array: performing a format conversion operation on the optimized value to obtain string data, and performing an encryption operation on the string data to obtain an encrypted hash value, and sending the encrypted hash value to a pre-built blockchain to obtain blockchain data, wherein the encryption operation is to encrypt the string data by using a hash algorithm; aggregating the blockchain data to obtain a standard file; aggregating the standard files to obtain multiple standard files, and obtaining environmental parameters based on the multiple standard files.

[0032] It can be explained that the target data refers to the data of temperature, humidity, carbon dioxide concentration and oxygen concentration read from the preset file. The format conversion operation refers to the operation of converting each optimized value in the optimization array into string data.

[0033] It should be explained that the integrated sensor refers to a device that integrates multiple different types of sensors. The temperature sensor is a sensor used to detect the temperature in the environment. The humidity sensor, the carbon dioxide concentration sensor and the oxygen concentration sensor refer to sensors used to detect the humidity, carbon dioxide concentration and oxygen concentration in the environment, respectively. The detection frequency refers to detection once every 10 minutes. Bubble sort refers to an algorithm that sorts the padded array in ascending order by comparing and exchanging adjacent elements multiple times. The bubble sort in the embodiment of the present invention is a prior art and will not be repeated here.

[0034] Importantly, a blank array is an array without any data. A padded array is an array obtained by adding data elements to a blank array. A sorted array is an array obtained by sorting the elements in an array. A cryptographic hash value is a unique encrypted value generated after a string of data is processed by a hash algorithm. A hash algorithm is an algorithm that converts string data into a fixed-length hash value through mathematical calculations. Blockchain refers to a distributed database technology used to record cryptographic hash values.

[0035] Further, the optimization sorted array obtains the optimized array, including: extracting target values ​​from the sorted array in turn, and performing the following operations on the target values: extracting adjacent values ​​corresponding to the target value from the sorted array, wherein the adjacent value is the next target value adjacent to the target value in the sorted array; calculating the mean of the target value and the adjacent values, and mapping the mean to a pre-constructed blank smooth array to obtain a smooth value, wherein the position of the smooth value in the smooth array corresponds one-to-one to the position of the target value in the sorted array; after confirming that all pre-constructed positions in the blank smooth array have corresponding smooth values, a smooth array is obtained, and target smooth values ​​are extracted from the smooth array in turn. If the target smooth value is greater than a preset value threshold, the target smooth value is eliminated, multiple target smooth values ​​retained in the smooth array are summarized, and the retained multiple target smooth values ​​are sorted to obtain an optimized array.

[0036] It can be explained that the position described in the embodiment of the present invention refers to the position of each smoothing value in the smoothing array.

[0037] For example, the sorted array is [25,30,35,40,45,50,55], the preset value threshold is 40, the blank smooth array is [None,None,None,None,None,None], the target value 25 and the adjacent value 30 are extracted from the sorted array [25,30,35,40,45,50,55] in sequence, the average of the target value 25 and the adjacent value 30 is calculated to be 27.5, 27.5 is mapped to the blank smooth value to obtain [27.5,None,None,None,None,None], and a target value is extracted from the sorted array [25,30,35,40,45,50,55] The target value is 30, and the adjacent value is 35. The average of the target value 30 and the adjacent value 35 is 32.5. Map 32.5 to the blank smooth value to get [27.5, 32.5, None, None, None, None, None], and extract a target value of 35 from the sorted array of [25, 30, 35, 40, 45, 50, 55]. The adjacent value is 40. The average of the target value 35 and the adjacent value 40 is 37.5. Map 37.5 to the blank smooth value to get [27.5, 32.5, 37.5, None, None, None, None], and extract a target value of 35 from the sorted array of [25, 30, 35, 40, 45, 50, 55]. The target value is 40, and the adjacent value is 45. The average of the target value 40 and the adjacent value 45 is 42.5. Map 42.5 to the blank smooth value to get [27.5, 32.5, 37.5, 42.5, None, None, None]. Extract a target value of 45 from the sorted array [25, 30, 35, 40, 45, 50, 55]. The adjacent value is 50. Calculate the average of the target value 45 and the adjacent value 50 is 47.5. Map 47.5 to the blank smooth value to get [27.5, 32.5, 37.5, 42.5, 47.5, None, None]. From the sorted array [25, 30, 35, 40, 45, 50, 55] Extract a target value of 50 and an adjacent value of 55. Calculate the mean of the target value 50 and the adjacent value 55 to be 52.5. Map 52.5 to the blank smooth value to get [27.5, 32.5, 37.5, 42.5, 47.5, 52.5, None]. Extract a target value of 55 from the sorted array [25, 30, 35, 40, 45, 50, 55]. There is no adjacent value. Use the adjacent previous mean of 52.5 in the blank smooth array to calculate the mean of the target value 55 and the adjacent previous mean 52.5 to be 44.75. Map 44.75 to the blank smooth value to get the smooth array [27.5, 32.5, 37.5, 42.5, 47.5, 52.5,44.75], remove the target smoothing values ​​42.5, 47.5, 52.5, 44.75 in the smoothing array that are greater than the preset value threshold 40, and obtain the retained multiple target smoothing values ​​[27.5, 32.5, 37.5], and sort the retained multiple target smoothing values ​​[27.5, 32.5, 37.5] in ascending order to obtain the optimized array [27.5, 32.5, 37.5]. .

[0038] S3. Using a pre-built closed odor detector, a detection operation is performed on each of the multiple selenium-enriched eggs in the storage environment to obtain detection data.

[0039] It should be explained that the closed odor detector is an instrument used to detect and analyze odors in a closed environment. The detection operation refers to placing each selenium-enriched egg into the pre-built detection chamber of the closed odor detector, and the closed odor detector will automatically collect the odor data around the egg.

[0040] S4. If the detection data is preset abnormal detection data, one or more selenium-rich eggs corresponding to the detection data are removed from the storage environment.

[0041] For example, Xiao Zhang tests 10 selenium-rich eggs and obtains the test data [0.05, 0.04, 0.03, 1.20, 0.06, 0.07, 0.08, 0.09, 0.10, 0.05]. The preset abnormal detection data is 1.20. After eliminating the abnormal detection data 1.20, the result is [0.05, 0.04, 0.03, 0.06, 0.07, 0.08, 0.09, 0.10, 0.05].

[0042] S5. Summarize the selenium-rich eggs retained in the storage environment to obtain multiple eggs to be tested, and perform the following operation on each of the multiple eggs to be tested: use the pre-constructed selenium-rich egg freshness measurement formula and the eggs to be tested to obtain the freshness to be tested.

[0043] It is understood that the eggs to be tested are eggs that are selected from a storage environment and do not have an abnormal odor. The freshness to be tested is an indicator for evaluating whether the eggs are still in a fresh state.

[0044] In detail, the formula for measuring the freshness of selenium-enriched eggs is as follows: ,in, Indicates the freshness to be tested, Indicates the influence coefficient of the weight of the egg to be tested on the freshness to be tested, Indicates the minimum weight among multiple eggs to be tested. Indicates the weight of the egg to be tested, It represents the influence coefficient of microorganisms on the freshness to be tested, Indicates the transparency index of the egg yolk and egg white of the egg to be tested. Indicates the influence coefficient of humidity in the storage environment on the freshness to be measured, Indicates the eggshell hardness index of the egg to be tested. Indicates the influence coefficient of carbon dioxide concentration in the storage environment on the freshness to be measured, Indicates the carbon dioxide composition index in the storage environment. Indicates the number of days the eggs to be tested have been stored. Indicates the coefficient of influence of the number of days of storage of the eggs to be tested on the freshness to be tested, It indicates the influence coefficient of selenium content in the tested eggs on the tested freshness. Indicates the selenium content in the eggs to be tested.

[0045] It should be explained that the transparency index refers to an indicator of the transparency of the yolk and egg white in the egg. The carbon dioxide composition index refers to an indicator of the carbon dioxide concentration in the storage environment. The calculation steps of the selenium content in the eggs to be tested are the same as the calculation method of the selenium content in the dried eggs.

[0046] S6. Obtain a first freshness threshold and a second freshness threshold.

[0047] In detail, the obtaining of the first freshness threshold and the second freshness threshold includes: obtaining multiple historical detection time periods, extracting historical detection time periods from the multiple historical detection time periods in sequence, and performing the following operations on each of the multiple selenium-rich eggs: performing detection on the selenium-rich eggs based on the extracted historical detection time periods to obtain a freshness value, and comparing the freshness value with a preset freshness threshold: if the freshness value is less than the preset freshness threshold, then eliminating the freshness value, summarizing the retained freshness values, and obtaining fresh data; calculating the average and standard deviation of the fresh data, subtracting the average from the standard deviation to obtain the first freshness threshold, and adding the average to the standard deviation to obtain the second freshness threshold.

[0048] It is understandable that the historical testing period refers to the period of time during which the egg freshness testing was conducted within a certain period of time in the past.

[0049] Exemplarily, there are three historical detection periods: 9:00 to 10:00 on October 1, 2024, 9:00 to 10:00 on October 2, 2024, and 9:00 to 10:00 on October 3, 2024. Egg A, egg B, and egg C are detected respectively during the three historical detection periods. The preset freshness threshold is 33. During the detection period from 9:00 to 10:00 on October 1, 2024, the freshness value of egg A is 35, the freshness value of egg B is 40, and the freshness value of egg C is 38. During the detection period from 9:00 to 10:00 on October 2, 2024, the freshness value of egg A is 36, the freshness value of egg B is 38, and the freshness value of egg C is 35. During the detection period from 9:00 to 10:00 on October 3, 2024, the freshness value of egg A is 36, the freshness value of egg B is 38, and the freshness value of egg C is 35. During the detection time period of 0:00, the freshness value of Egg A is 30, the freshness value of Egg B is 36, and the freshness value of Egg C is 32. The freshness values ​​of Egg A in the three historical detection periods are summarized as [35, 36, 30], among which 30 is less than the preset freshness threshold 33 and is eliminated, and the fresh data of Egg A is [35, 36]. The freshness values ​​of Egg B in the three historical detection periods are summarized as [40, 38, 36], among which [40, 38, 36] are all greater than the preset freshness threshold 33 and are retained, and the fresh data of Egg B is [40, 38, 36]. The freshness values ​​of Egg C in the three historical detection periods are summarized as [38, 35, 32], among which 32 is less than the preset freshness threshold 33 and is eliminated, and the fresh data of Egg B is [38, 35].

[0050] S7. Compare the freshness to be measured with the first freshness threshold and the second freshness threshold respectively. If the freshness to be measured is greater than the second freshness threshold, introduce the eggs to be measured into a pre-built cold storage room to obtain refrigerated eggs.

[0051] It should be explained that the cold storage room is a space used to store the eggs to be tested at low temperatures. Importing refers to the operation of placing the eggs to be tested in the cold storage room. Refrigerated eggs refer to eggs that have passed a specific testing and sorting process to ensure that the freshness is above the second threshold and are then stored in a refrigerated environment to extend the shelf life.

[0052] S8. If the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the eggs to be tested to obtain coated eggs. If the freshness to be tested is less than the first freshness threshold, a sterilization operation is performed on the eggs to be tested, and a packaging operation is performed on the sterilized eggs to be tested to obtain packaged eggs.

[0053] It is understood that coating refers to the operation of applying a layer of vegetable oil to the surface of the egg to be tested.

[0054] In detail, the method sterilizes the eggs to be tested and packages the sterilized eggs to be tested to obtain packaged eggs, including: using a pre-constructed sterilization device to sterilize the eggs to be tested to obtain sterilized eggs, and packaging the sterilized eggs to obtain packaged eggs to be tested, wherein the sterilization temperature and the sterilization time are preset, and the packaging materials in the packaging operation are preset; using a pre-constructed laser speckle acquisition device and a preset laser wavelength to irradiate the pre-constructed sealing part of the packaged eggs to be tested to obtain a speckle image, using a pre-constructed Gaussian filter to denoise the speckle image to obtain a denoised image, and The image is converted into a grayscale image; a pre-constructed discrete function is used to perform histogram equalization on the grayscale image to obtain a total grayscale value, and a balanced image is obtained based on the total grayscale value; a mean, variance, peak value and skewness are extracted from the balanced image; a preset comprehensive weight is used to multiply the mean, variance, peak value and skewness respectively to obtain an evaluation score, wherein the comprehensive weight includes: a mean weight, a variance weight, a peak value weight and a skewness weight; if it is confirmed that the evaluation score is less than a preset evaluation threshold, the step of performing a packaging operation on the sterilized eggs is returned until the evaluation score is greater than or equal to the preset evaluation threshold, and a packaged egg is obtained.

[0055] It should be explained that packaging refers to the action of packaging sterilized eggs with packaging materials. Laser speckle acquisition device refers to a device used to collect seal speckle images. Speckle image refers to an image formed by random speckle patterns generated by laser irradiation of the seal.

[0056] It is understandable that the Gaussian filter is an image processor that uses Gaussian filtering technology to denoise an image. The embodiment of the present invention uses a Gaussian filter to denoise the speckle image, and the Gaussian filtering technology is a prior art and will not be described in detail here. Discrete function refers to a function used to describe the distribution of pixel values ​​in a grayscale image. Histogram equalization refers to the process of drawing a grayscale histogram according to the total number of pixels at each grayscale level in a grayscale image, calculating the cumulative distribution function of the grayscale histogram, creating a mapping function based on the cumulative distribution function, and using the mapping function to adjust the grayscale value of each pixel in the image to obtain the total grayscale value. The evaluation threshold refers to a pre-set limit value used to determine whether the evaluation score meets the expected standard.

[0057] Exemplarily, Xiao Zhang extracts a mean of 120, a variance of 500, a peak of 2000, and a skewness of 0.5 from the balanced image, and presets a mean weight of 0.2, a variance weight of 0.3, a peak weight of 0.2, and a skewness weight of 0.3, and uses the following formula to calculate the evaluation score of the balanced image: , where 4 represents the evaluation score of the balanced image. The preset evaluation threshold is 520, and the evaluation score If the value is greater than the preset evaluation threshold, the eggs are packaged.

[0058] Furthermore, the discrete function is as follows: ,in, Represents the total gray value, Represents the total number of pixels in the grayscale image. Represents the pixel point of the grayscale image under the index variable, Represents an index variable, Indicates grayscale levels.

[0059] It should be explained that the total gray value refers to the gray level for each , calculated from the gray level arrive The index variable is a variable used to iterate over the different gray levels. Gray levels refer to the different levels of pixel values ​​in an image.

[0060] S9. The refrigerated eggs, coated eggs and packaged eggs are respectively summarized to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and intelligent storage and management of selenium-enriched eggs are completed based on the refrigerated egg set, the coated egg set and the packaged egg set.

[0061] It should be explained that the refrigerated egg set refers to the set of all refrigerated eggs whose freshness is greater than the second freshness threshold. The coated egg set refers to the set of all coated eggs whose freshness is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold. The packaged egg set refers to the set of all packaged eggs whose freshness is less than the first freshness threshold.

[0062] Compared with the problems described in the background technology, the present invention first identifies multiple eggs to be stored and managed, and uses a pre-built near-infrared spectrometer to screen the multiple eggs to obtain multiple selenium-rich eggs. The present invention screens multiple eggs through a near-infrared spectrometer to improve the efficiency and accuracy of screening, uses a pre-built comprehensive sensor to obtain environmental parameters, builds a suitable storage environment based on the environmental parameters, and stores the multiple selenium-rich eggs in a suitable storage environment to obtain a storage environment. The present invention creates optimal storage conditions through a comprehensive sensor, thereby extending the shelf life and quality of selenium-rich eggs, and uses a pre-built closed odor detector to detect multiple selenium-rich eggs in the storage environment. A detection operation is performed on each selenium-rich egg in the storage environment to obtain detection data. If the detection data is preset abnormal detection data, one or more selenium-rich eggs corresponding to the detection data are removed from the storage environment. The present invention uses a closed odor detector to detect selenium-rich eggs in the storage environment, and can timely find and remove stale or spoiled selenium-rich eggs, summarize the selenium-rich eggs retained in the storage environment, and obtain a plurality of eggs to be tested. The following operation is performed on each of the plurality of eggs to be tested: a pre-constructed selenium-rich egg freshness measurement formula and the eggs to be tested are used to obtain the freshness to be tested. The present invention uses the selenium-rich egg freshness measurement formula to accurately evaluate the freshness of the eggs to be tested. The freshness of eggs is measured, and a first freshness threshold and a second freshness threshold are obtained. The present invention can distinguish eggs of different freshness levels by determining the first freshness threshold and the second freshness threshold, thereby enhancing the flexibility of management. The freshness to be measured is compared with the first freshness threshold and the second freshness threshold respectively. If the freshness to be measured is greater than the second freshness threshold, the eggs to be measured are introduced into a pre-constructed cold storage room to obtain refrigerated eggs. The eggs to be measured of the present invention are introduced into the cold storage room to effectively preserve freshness and reduce waste. If the freshness to be measured is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the eggs to be measured to obtain coated eggs. The present invention will The coating operation of eggs can effectively increase the shelf life of eggs, reduce the risk of water loss and bacterial infection, and maintain their quality. If the freshness to be tested is less than the first freshness threshold, the eggs to be tested are sterilized, and the sterilized eggs to be tested are packaged to obtain packaged eggs. The sterilization operation of the eggs to be tested can effectively remove harmful microorganisms and improve food safety. The packaging operation can prevent external pollution and extend the shelf life. The refrigerated eggs, coated eggs and packaged eggs are respectively summarized to obtain a refrigerated egg set, a coated egg set and a packaged egg set. Based on the refrigerated egg set, the coated egg set and the packaged egg set, the intelligent storage and management of selenium-enriched eggs are completed. Therefore, the present invention can improve the efficiency and safety of egg management with the help of intelligent storage technology, and reduce the excessive consumption of time and human resources.

[0063] like Figure 2 The figure shows a functional module diagram of a selenium-enriched egg intelligent storage and management system provided by one embodiment of the present invention.

[0064] The selenium-enriched egg intelligent storage and management system 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the selenium-enriched egg intelligent storage and management system 100 can include a selenium-enriched egg acquisition module 101, an abnormal egg removal module 102, a freshness evaluation module 103 and an egg summary module 104. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device; the selenium-rich egg acquisition module 101 is used to identify multiple eggs to be stored and managed, screen the multiple eggs using a pre-built near-infrared spectrometer to obtain multiple selenium-rich eggs, obtain environmental parameters using a pre-built comprehensive sensor, build a suitable storage environment based on the environmental parameters, and store the multiple selenium-rich eggs in a suitable storage environment to obtain a storage environment; the abnormal egg removal module 102 is used to use a pre-built closed odor detector to perform a detection operation on each of the multiple selenium-rich eggs in the storage environment to obtain detection data. If the detection data is preset abnormal detection data, one or more selenium-rich eggs corresponding to the detection data are removed from the storage environment; the freshness evaluation module 103 is used to summarize the selenium-rich eggs retained in the storage environment. , obtain multiple eggs to be tested, and perform the following operations on each of the multiple eggs to be tested: use the pre-constructed selenium-rich egg freshness measurement formula and the eggs to be tested to obtain the freshness to be tested, obtain a first freshness threshold and a second freshness threshold, respectively compare the freshness to be tested with the first freshness threshold and the second freshness threshold, if the freshness to be tested is greater than the second freshness threshold, then introduce the eggs to be tested into a pre-constructed cold storage room to obtain refrigerated eggs, if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, then perform a coating operation on the eggs to be tested to obtain coated eggs, if the freshness to be tested is less than the first freshness threshold, then perform a sterilization operation on the eggs to be tested, and perform a packaging operation on the sterilized eggs to be tested to obtain packaged eggs; the egg aggregation module 104 is used to respectively aggregate the refrigerated eggs, coated eggs and packaged eggs to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and complete the intelligent storage and management of selenium-rich eggs based on the refrigerated egg set, the coated egg set and the packaged egg set.

[0065] In detail, each module in the selenium-enriched egg intelligent storage and management system 100 of the embodiment of the present invention adopts the same method as above when in use. Figure 1 The same technical means are used as the intelligent storage and management method for selenium-rich eggs described in the text and can produce the same technical effects, so I will not go into details here.

[0066] like Figure 3The figure is a schematic diagram of the structure of an electronic device for implementing a method for intelligent storage and management of selenium-enriched eggs provided by one embodiment of the present invention.

[0067] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a selenium-enriched egg intelligent storage and management method program.

[0068] Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the program of the intelligent storage and management method of selenium-enriched eggs, etc., but also can be used to temporarily store data that has been output or is to be output.

[0069] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as selenium-enriched eggs intelligent storage and management method programs, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0070] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0071] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0072] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0073] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0074] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0075] The program of the intelligent storage and management method for selenium-rich eggs stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: confirming multiple eggs to be stored and managed, screening the multiple eggs using a pre-built near-infrared spectrometer to obtain multiple selenium-rich eggs; obtaining environmental parameters using a pre-built integrated sensor, building a suitable storage environment based on the environmental parameters, and storing the multiple selenium-rich eggs in a suitable storage environment to obtain a storage environment; using a pre-built closed odor detector to perform a detection operation on each of the multiple selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then one or more selenium-rich eggs corresponding to the detection data are removed from the storage environment; summarizing the selenium-rich eggs retained in the storage environment to obtain multiple eggs to be tested, and for each of the multiple eggs to be tested The eggs to be tested all perform the following operations: using a pre-constructed selenium-enriched egg freshness measurement formula and the eggs to be tested to obtain the freshness to be tested; obtaining a first freshness threshold and a second freshness threshold; respectively comparing the freshness to be tested with the first freshness threshold and the second freshness threshold; if the freshness to be tested is greater than the second freshness threshold, the eggs to be tested are introduced into a pre-constructed cold storage room to obtain refrigerated eggs; if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the eggs to be tested to obtain coated eggs; if the freshness to be tested is less than the first freshness threshold, a sterilization operation is performed on the eggs to be tested, and a packaging operation is performed on the sterilized eggs to be tested to obtain packaged eggs; the refrigerated eggs, coated eggs and packaged eggs are respectively summarized to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and the intelligent storage and management of selenium-enriched eggs are completed based on the refrigerated egg set, the coated egg set and the packaged egg set.

[0076] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0077] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0078] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can achieve the following: confirming multiple eggs to be stored and managed, screening the multiple eggs using a pre-built near-infrared spectrometer to obtain multiple selenium-rich eggs; obtaining environmental parameters using a pre-built integrated sensor, building a suitable storage environment based on the environmental parameters, and storing the multiple selenium-rich eggs in a suitable storage environment to obtain a storage environment; using a pre-built closed odor detector to perform a detection operation on each of the multiple selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then removing one or more selenium-rich eggs corresponding to the detection data in the storage environment; summarizing the selenium-rich eggs retained in the storage environment to obtain multiple eggs to be tested, and for each of the multiple eggs to be tested The following operations are performed on each egg to be tested: the freshness to be tested is obtained by using the pre-constructed selenium-rich egg freshness measurement formula and the egg to be tested; a first freshness threshold and a second freshness threshold are obtained; the freshness to be tested is compared with the first freshness threshold and the second freshness threshold respectively; if the freshness to be tested is greater than the second freshness threshold, the egg to be tested is introduced into a pre-constructed cold storage room to obtain a refrigerated egg; if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, a coating operation is performed on the egg to be tested to obtain a coated egg; if the freshness to be tested is less than the first freshness threshold, a sterilization operation is performed on the egg to be tested, and a packaging operation is performed on the sterilized egg to be tested to obtain a packaged egg; the refrigerated eggs, coated eggs and packaged eggs are respectively summarized to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and the intelligent storage and management of selenium-rich eggs are completed based on the refrigerated egg set, the coated egg set and the packaged egg set.

[0079] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0080] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0082] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for intelligent storage and management of selenium-enriched eggs, characterized in that: The method comprises: identifying a plurality of eggs to be stored and managed, screening the plurality of eggs using a pre-built near-infrared spectrometer to obtain a plurality of selenium-rich eggs; acquiring environmental parameters using a pre-built integrated sensor, constructing a suitable storage environment based on the environmental parameters, and storing the plurality of selenium-rich eggs in a suitable storage environment to obtain a storage environment; using a pre-built closed odor detector to perform a detection operation on each of the plurality of selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then removing one or more selenium-rich eggs corresponding to the detection data in the storage environment; summarizing the selenium-rich eggs retained in the storage environment to obtain a plurality of eggs to be tested, and performing the following operations on each of the plurality of eggs to be tested: using a pre-built selenium-rich egg freshness measurement instrument to measure the freshness of the eggs; The method comprises the following steps: obtaining the freshness of the eggs to be tested by the formula and the eggs to be tested; obtaining a first freshness threshold and a second freshness threshold; respectively comparing the freshness to be tested with the first freshness threshold and the second freshness threshold; if the freshness to be tested is greater than the second freshness threshold, introducing the eggs to be tested into a pre-constructed cold storage room to obtain refrigerated eggs; if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, performing a coating operation on the eggs to be tested to obtain coated eggs; if the freshness to be tested is less than the first freshness threshold, performing a sterilization operation on the eggs to be tested, and performing a packaging operation on the sterilized eggs to be tested to obtain packaged eggs; respectively summarizing the refrigerated eggs, coated eggs and packaged eggs to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and completing intelligent storage and management of selenium-enriched eggs based on the refrigerated egg set, the coated egg set and the packaged egg set.

2. The intelligent storage and management method for selenium-enriched eggs according to claim 1, characterized in that: The method of using a pre-constructed near-infrared spectrometer to screen the plurality of eggs to obtain a plurality of selenium-rich eggs comprises: performing the following operations on each of the plurality of eggs: performing a washing operation on the eggs, performing a drying operation on the washed eggs to obtain dry eggs; performing a detection operation on the dry eggs using the near-infrared spectrometer to obtain a detection egg spectrum graph in a pre-constructed spectral coordinate system, wherein the horizontal axis of the spectral coordinate system is the wave number, and the vertical axis of the spectral coordinate system is the transmittance; dividing the detection egg spectrum graph according to a preset wavelength range to obtain a plurality of detection egg spectrum data segments, and performing the following operations on each of the plurality of detection egg spectrum data segments: performing a smoothing operation on the detection egg spectrum data segment, and obtaining a fitting polynomial using the smoothed detection egg spectrum data, and obtaining a fitting polynomial based on the fitting polynomial. The invention relates to a method for obtaining a fitting curve, and collecting the fitting curves to obtain a fitting curve set; performing a splicing operation on the fitting curves in the fitting curve set according to the order of the wavelength ranges corresponding to the fitting curves from the earliest to the latest, and obtaining target curve data; obtaining an egg spectral data baseline value according to the target curve data, and obtaining a standard egg spectral data set based on the egg spectral data baseline value and the target curve data, wherein the standard egg spectral data set includes one or more standard egg spectral data, wherein the transmittance corresponding to the standard egg spectral data is the same as the egg spectral data baseline value; calculating the selenium content of the dry egg using a pre-constructed selenium content formula and the standard egg spectral data set, and confirming the dry egg as a selenium-rich egg if the selenium content of the dry egg is greater than or equal to a preset standard selenium threshold value; and collecting the selenium-rich eggs to obtain a plurality of selenium-rich eggs.

3. The intelligent storage and management method for selenium-enriched eggs according to claim 2, characterized in that: The selenium content formula is as follows: ,in, Indicates the selenium content of dried eggs, , , , All represent the preset regression coefficients. , , , Represents the transmittance corresponding to each standard egg data in one or more standard egg spectral data, represents the intercept.

4. The intelligent storage and management method for selenium-enriched eggs according to claim 3, characterized in that: The method of obtaining environmental parameters by using a pre-built integrated sensor includes: wherein the integrated sensor includes: a temperature sensor, a humidity sensor, a carbon dioxide concentration sensor and an oxygen concentration sensor, and the detection frequency of the integrated sensor is preset; obtaining temperature, humidity, carbon dioxide concentration and oxygen concentration by using the integrated sensor, and storing the temperature, humidity, carbon dioxide concentration and oxygen concentration in preset files respectively to obtain multiple files, and performing the following operations on each of the multiple files: reading target data in the file, and storing the target data in a pre-built blank array to obtain a filled array; sorting the filled array by using a pre-built bubble sort to obtain a sorted array; optimizing the sorted array to obtain an optimized array; performing the following operations on each pre-built optimized value in the optimized array: performing a format conversion operation on the optimized value to obtain string data, and performing an encryption operation on the string data to obtain an encrypted hash value, and sending the encrypted hash value to a pre-built blockchain to obtain blockchain data, wherein the encryption operation is to encrypt the string data by using a hash algorithm; aggregating the blockchain data to obtain a standard file; aggregating the standard files to obtain multiple standard files, and obtaining environmental parameters based on the multiple standard files.

5. The intelligent storage and management method for selenium-enriched eggs according to claim 4, characterized in that: The formula for measuring the freshness of selenium-enriched eggs is as follows: ,in, Indicates the freshness to be tested, Indicates the influence coefficient of the weight of the egg to be tested on the freshness to be tested, Indicates the minimum weight among multiple eggs to be tested. Indicates the weight of the egg to be tested. It represents the influence coefficient of microorganisms on the freshness to be tested, Indicates the transparency index of the egg yolk and egg white of the egg to be tested. Indicates the influence coefficient of humidity in the storage environment on the freshness to be measured, Indicates the eggshell hardness index of the egg to be tested. Indicates the influence coefficient of carbon dioxide concentration in the storage environment on the freshness to be measured, Indicates the carbon dioxide composition index in the storage environment. Indicates the number of days the eggs to be tested have been stored. Indicates the coefficient of influence of the number of days of storage of the eggs to be tested on the freshness to be tested, It indicates the influence coefficient of selenium content in the tested eggs on the tested freshness. Indicates the selenium content in the eggs to be tested.

6. The intelligent storage and management method for selenium-enriched eggs according to claim 5, characterized in that: The method of obtaining the first freshness threshold and the second freshness threshold includes: obtaining multiple historical detection time periods, extracting historical detection time periods from the multiple historical detection time periods in sequence, and performing the following operations on each of the multiple selenium-rich eggs: performing detection on the selenium-rich eggs based on the extracted historical detection time periods to obtain a freshness value, and comparing the freshness value with a preset freshness threshold: if the freshness value is less than the preset freshness threshold, then eliminating the freshness value, summarizing the retained freshness values, and obtaining fresh data; calculating the average value and standard deviation of the fresh data, subtracting the average value from the standard deviation to obtain a first freshness threshold, and adding the average value to the standard deviation to obtain a second freshness threshold.

7. The intelligent storage and management method for selenium-enriched eggs according to claim 6, characterized in that: The optimized sorted array is obtained by: extracting target values ​​from the sorted array in sequence, and performing the following operations on the target values: extracting adjacent values ​​corresponding to the target value from the sorted array, wherein the adjacent value is the next target value adjacent to the target value in the sorted array; calculating the mean of the target value and the adjacent values, and mapping the mean to a pre-constructed blank smooth array to obtain a smooth value, wherein the position of the smooth value in the smooth array corresponds to the position of the target value in the sorted array in a one-to-one manner; after confirming that all pre-constructed positions in the blank smooth array have corresponding smooth values, a smooth array is obtained, and target smooth values ​​are extracted from the smooth array in sequence. If the target smooth value is greater than a preset value threshold, the target smooth value is eliminated, a plurality of target smooth values ​​retained in the smooth array are summarized, and the retained plurality of target smooth values ​​are sorted to obtain an optimized array.

8. The intelligent storage and management method for selenium-enriched eggs according to claim 7, characterized in that: The method sterilizes the eggs to be tested and packages the sterilized eggs to be tested to obtain packaged eggs, including: using a pre-constructed sterilization device to sterilize the eggs to be tested to obtain sterilized eggs, and packaging the sterilized eggs to obtain packaged eggs to be tested, wherein the sterilization temperature and sterilization time are preset, and the packaging materials in the packaging operation are preset; using a pre-constructed laser speckle acquisition device and a preset laser wavelength to irradiate the pre-constructed sealing part of the packaged eggs to be tested to obtain a speckle image, using a pre-constructed Gaussian filter to denoise the speckle image to obtain a denoised image, and converting the denoised image into a The method comprises the steps of: converting the grayscale image into a grayscale image; performing histogram equalization on the grayscale image using a pre-constructed discrete function to obtain a total grayscale value, and obtaining a balanced image based on the total grayscale value; extracting a mean, a variance, a peak value, and a skewness from the balanced image; multiplying the mean, the variance, the peak value, and the skewness by a preset comprehensive weight respectively to obtain an evaluation score, wherein the comprehensive weight includes a mean weight, a variance weight, a peak value weight, and a skewness weight; if it is confirmed that the evaluation score is less than a preset evaluation threshold, returning to the step of performing a packaging operation on the sterilized eggs until the evaluation score is greater than or equal to the preset evaluation threshold, and obtaining a packaged egg.

9. The intelligent storage and management method for selenium-enriched eggs according to claim 8, characterized in that: The discrete function is as follows: ,in, Represents the total gray value, Represents the total number of pixels in the grayscale image. Represents the pixel point of the grayscale image under the index variable, Represents an index variable, Indicates grayscale levels.

10. An intelligent storage and management system for selenium-enriched eggs, characterized in that: The system comprises: a selenium-rich egg acquisition module, which is used to identify a plurality of eggs to be stored and managed, screen the plurality of eggs using a pre-built near-infrared spectrometer to obtain a plurality of selenium-rich eggs, obtain environmental parameters using a pre-built integrated sensor, build a suitable storage environment based on the environmental parameters, and store the plurality of selenium-rich eggs in a suitable storage environment to obtain a storage environment; an abnormal egg removal module, which is used to use a pre-built closed odor detector to perform a detection operation on each of the plurality of selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then remove one or more selenium-rich eggs corresponding to the detection data in the storage environment; a freshness evaluation module, which is used to summarize the selenium-rich eggs retained in the storage environment to obtain a plurality of eggs to be tested, and perform the following operations on each of the plurality of eggs to be tested: using a pre-built closed odor detector to perform a detection operation on each of the plurality of selenium-rich eggs in the storage environment to obtain detection data, and if the detection data is preset abnormal detection data, then remove one or more selenium-rich eggs corresponding to the detection data in the storage environment; and a freshness evaluation module, which is used to summarize the selenium-rich eggs retained in the storage environment to obtain a plurality of eggs to be tested, and perform the following operations on each of the plurality of eggs to be tested: using a pre-built closed odor detector to perform a detection operation on each of the plurality of eggs to be tested The constructed selenium-enriched egg freshness measurement formula and the eggs to be tested obtain the freshness to be tested, obtain the first freshness threshold and the second freshness threshold, respectively compare the freshness to be tested with the first freshness threshold and the second freshness threshold, if the freshness to be tested is greater than the second freshness threshold, the eggs to be tested are introduced into a pre-constructed cold storage room to obtain refrigerated eggs, if the freshness to be tested is less than or equal to the second freshness threshold and greater than or equal to the first freshness threshold, then the eggs to be tested are coated to obtain coated eggs, if the freshness to be tested is less than the first freshness threshold, then the eggs to be tested are sterilized, and the sterilized eggs to be tested are packaged to obtain packaged eggs; an egg summary module is used to summarize the refrigerated eggs, coated eggs and packaged eggs respectively to obtain a refrigerated egg set, a coated egg set and a packaged egg set, and complete the intelligent storage and management of selenium-enriched eggs based on the refrigerated egg set, the coated egg set and the packaged egg set.

Citation Information

Patent Citations

  • Method for detecting egg freshness by using gas sensor

    CN101655471A

  • Storage device, storage method and refrigerator

    CN115435529A

  • Nondestructive detection method and system for cadmium content of poultry eggs

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