A preparation monitoring method and system for nutritious and healthy corn oil

Abstract

The invention relates to the technical field of corn oil preparation process, and discloses a preparation monitoring method and system of nutritious and healthy corn oil. The operation system of the method comprises a corn oil dewaxing process control management module, a corn oil deacidification process control management module, and a corn oil decolorization process control management module; the starting temperature in the corn oil dewaxing process and the thickness of the wax layer formed are collected online to realize dynamic and accurate monitoring of the dewaxing temperature and the wax layer thickness of the corn oil; the collected corn oil dewaxing starting temperature is matched with the set starting temperature, and the collected corn oil wax layer thickness image is matched with the standard wax layer thickness image by using the emperor penguin optimization algorithm, and the temperature parameters and the wax layer thickness parameters are used to realize accurate monitoring of the corn oil dewaxing process and accurate judgment of the dewaxing operation, thereby reducing manual intervention and improving the corn oil dewaxing process efficiency and corn oil preparation quality.

Description

Technical Field

[0001] The invention relates to the technical field of corn oil preparation technology, and in particular to a preparation monitoring method and system for nutritious and healthy corn oil. Background Art

[0002] Corn oil, also known as corn oil or corn germ oil, is oil extracted from corn germ. The fat content of corn germ is between 17% and 45%, accounting for more than 80% of the total fat content of corn. The characteristic of the fatty acid in corn oil is that the content of unsaturated fatty acid is as high as 80% to 85%. Corn oil itself does not contain cholesterol, but it has a dissolving effect on the accumulation of cholesterol in the blood, so it can reduce the hardening effect on blood vessels. It has a positive preventive and therapeutic effect on senile diseases such as arteriosclerosis and diabetes. Due to the function of natural complex vitamin E, it has obvious therapeutic and preventive effects on heart disease, thrombophlebitis, reproductive dysfunction, muscular atrophy, and nutritional encephalomalacia. Corn oil is refined on the basis of corn refined oil through dephosphorization, deacidification, degumming, decolorization, deodorization and dewaxing. Corn oil is clear and transparent, fragrant, and has a high smoke point. It is very suitable for quick cooking and frying food. The existing corn oil preparation needs to be dewaxed, deacidified, and decolorized after pressing. The dewaxing process is to remove a certain amount of wax and phospholipids in the squeezed corn oil through dewaxing. Dewaxing is divided into three steps: first, add hot water at about 50°C to dissolve part of the wax, then let it cool, precipitate the wax layer, and finally use the adsorbent soil above the oil layer to remove excess wax; deacidification process, corn oil is a neutral oil , the acidity should not be too high, otherwise it will easily cause food contamination and corruption. Deacidification is required in the production process. The corn oil is placed in alkaline solution, reacted for 24 hours, and then distilled to obtain neutral oil; the decolorization process is to make the color of the oil clearer and give people a better taste and texture. Adsorbents are used for decolorization. The adsorbents select activated carbon, white clay, silica gel, mixed bacteria soil and other decolorizers to remove pigments and impurities through strong adsorption. However, the existing corn oil dewaxing, deacidification and decolorization processes need to be completed by manual and monitoring equipment. Manual and monitoring equipment cannot realize the corn oil in the dewaxing, deacidification and decolorization process based on collected data, intelligent analysis to judge the corn oil processing status and accurately generate and execute the corn oil processing process. The use of manual control to operate corn oil for dewaxing, deacidification and decolorization operations not only reduces the quality of corn oil processing, but also reduces the yield of corn oil.

[0003] Chinese patent publication number CN113186026A, a preparation process of fragrant corn oil and the obtained corn oil, adopts the method of directly frying the second portion of corn germ at high temperature, controlling the temperature and time of frying, utilizing the various substances contained in the corn germ to undergo sufficient Maillard reaction at high temperature, releasing the flavor substances and incorporating them into the oil, preparing the fragrant crude oil emitting natural baking aroma, mixing the germ crude oil and the fragrant crude oil for one-time flavor enhancement, and obtaining the first-course fragrant crude oil. At the same time, strictly controlling the mass percentage of the first portion of corn germ and the second portion of corn germ, that is, controlling the ratio between the germ crude oil and the fragrant crude oil, not only improves the flavor enhancement effect, but also makes the first-course fragrant crude oil have a good aroma, and the oil product has a good color, however, the above corn oil processing process cannot judge the corn oil processing state based on the collected data and intelligent analysis and accurately generate and execute the corn oil processing process, if the temperature and time of frying cannot be accurately controlled and the material collection cannot be completed in time after frying, it is easy to over-fry, which not only reduces the quality of corn oil processing, but also reduces the yield of corn oil generation. Summary of the invention

[0004] In order to solve the problem that the above-mentioned existing corn oil dewaxing, deacidification and decolorization processes need to be completed by manual labor and monitoring equipment, the use of manual labor and monitoring equipment cannot realize the corn oil dewaxing, deacidification and decolorization process based on the collected data, intelligent analysis to judge the corn oil processing status and accurately generate and execute the corn oil processing technology. The use of manual control to operate corn oil for dewaxing, deacidification and decolorization operations not only reduces the quality of corn oil processing, but also reduces the problem of corn oil production output. The purpose of accurately monitoring the above corn oil dewaxing, deacidification and decolorization preparation processes, accurately controlling the processing process, and scientifically and efficiently executing the corn oil process is achieved.

[0005] The present invention is achieved through the following technical scheme: a method for preparing and monitoring nutritious and healthy corn oil, the method comprising the following steps:

[0006] S1, collecting real-time temperature data of corn oil dewaxing liquid and image data of wax layer thickness during corn oil dewaxing process;

[0007] S2, matching the real-time temperature data of corn oil dewaxing liquid with the starting temperature data of corn oil dewaxing liquid during the process of corn oil dewaxing; matching the wax layer thickness image data of corn oil dewaxing process with the standard wax layer thickness image data of corn oil dewaxing process by using an image recognition algorithm, and judging the corn oil dewaxing operation result according to the temperature data matching result and the image data matching result;

[0008] S3, collecting real-time pH value data of corn oil deacidification operation oil;

[0009] S4, matching the real-time pH value data of the corn oil deacidification operation oil with the pH value data of the corn oil deacidification specified oil, and evaluating the corn oil deacidification operation process according to the pH value data matching result;

[0010] S5, collecting real-time color image data of corn oil decolorization liquid;

[0011] S6. Use image recognition algorithm to match the real-time color image data of corn oil decolorization liquid with the color image data of corn oil decolorization standard oil and analyze the progress of corn oil decolorization operation.

[0012] Preferably, the operation steps of collecting the real-time temperature data of corn oil dewaxing oil and the wax layer thickness image data of corn oil dewaxing process are as follows:

[0013] S11. Use temperature sensors to measure the real-time temperature data of corn oil dewaxing liquid online ;

[0014] S12, using a photographing imaging lens to photograph and collect the thickness of the precipitated wax layer in the corn oil liquid through the light-transmitting observation window of the reactor and generate an image data set of the wax layer thickness during the corn oil dewaxing process , ;in Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the maximum value of the wax layer thickness image data of the corn oil dewaxing process, where the wax layer thickness image data of the corn oil dewaxing process The corresponding calculation formula for the thickness of the corn oil wax layer is: , Indicates the wax layer thickness value of corn oil that meets the dewaxing process requirements. The value is [1,5], The unit is millimeters, The value depends on the specific dewaxing process.

[0015] Preferably, the real-time temperature data of corn oil dewaxing liquid is matched with the starting temperature data of the oil during the corn oil dewaxing process; the wax layer thickness image data of the corn oil dewaxing process is matched with the standard wax layer thickness image data of the corn oil dewaxing process using an image recognition algorithm, and the operation steps of judging the corn oil dewaxing operation result according to the temperature data matching result and the image data matching result are as follows:

[0016] S21. Establishing the data set of the oil starting temperature during corn oil dewaxing ,in Indicates the oil temperature in the reactor when corn oil dewaxing operation begins. Indicates the temperature of corn oil when a wax layer is deposited after the oil is cooled;

[0017] S22. Establishment of a standardized wax layer thickness image data set for corn oil dewaxing process , ;in Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates the maximum value of the number of standardized wax layer thickness image data in the corn oil dewaxing process;

[0018] S23, the real-time temperature data of corn oil dewaxing oil Data collection of oil initial temperature during corn oil dewaxing process Data on the initial temperature of corn oil during dewaxing process , Perform data matching;

[0019] When collecting multiple groups and , If the matching is successful throughout the dewaxing operation, the output corn oil dewaxing operation oil temperature meets the requirements;

[0020] When collecting multiple groups and , If all matches are not successful in the entire dewaxing operation, the output corn oil dewaxing operation oil temperature does not meet the requirements;

[0021] S24, collecting corn oil dewaxing process wax layer thickness image data Image data of wax layer thickness in corn oil dewaxing process Using image recognition algorithm and corn oil dewaxing process to standardize wax layer thickness image data set Standard wax layer thickness image data of corn oil dewaxing process To match image data, the image recognition algorithm operation steps are as follows:

[0022] Step 1: Determine the cluster boundary range and set the location range selected in the wax layer thickness image search process where emperor penguins curl up to keep warm. Standardize the wax layer thickness image data set in the corn oil dewaxing process. Within the range, the wax layer thickness image search emperor penguin is adjacent to at least two wax layer thickness image search emperor penguins during the gathering process, and the selection of neighbors is random; while the boundary of the range in the wax layer thickness image search emperor penguin clustering process is in the standard wax layer thickness image data set of corn oil dewaxing process Therefore, the wind gradient around the wax layer thickness image is used to search for the emperor penguin cluster to represent the boundary of the entire cluster. Here, the wind speed is defined as ; and gradient a, β, wax layer thickness image search emperor penguin cluster boundary μ, expressed as , ;

[0023] Step 2: Calculate the temperature around the cluster level. The harsh external environment of Antarctica makes the emperor penguins take cluster heating to maintain temperature in the face of cold weather during migration. If the current aggregation radius d>0.5, its temperature =0; when d<0.5, its temperature =1, temperature taper curve for ,in is the maximum number of iterations, is the current iteration number, temperature The expression ;

[0024] Step 3: Calculate the distance between emperor penguins. The distance between emperor penguins within the cluster is expressed as the distance between the individual and the emperor penguin at the center of the cluster. The formula for the distance between emperor penguins is as follows:

[0025] ,in Represents the distance from the center of the wax layer thickness image search emperor penguin; Indicates the current number of iterations. and The influence vector factor used for the wax layer thickness image search emperor penguin volume setting to avoid conflicts between individuals, is the optimal solution for round x, Represents the position vector of the current wax layer thickness image search emperor penguin; F() defines the main social status of the wax layer thickness image search emperor penguin, which is responsible for distinguishing the best individuals from ordinary individuals;

[0026] Step 4: Update the position of emperor penguins and search for wax layer thickness images. Individuals in the emperor penguin cluster update their position information by moving toward the center of the cluster, i.e., standardize the wax layer thickness image data set in the corn oil dewaxing process. In the wax layer thickness image, search for the center of the emperor penguin cluster and move to update the position. The position update formula is as follows:

[0027] ,in, Indicates the next generation updated position of the wax layer thickness image search emperor penguin. During the iteration process, once the mover is relocated, the above parameters of the wax layer thickness image search emperor penguin will be recalculated;

[0028] Step 5: When the number of iterations reaches the maximum number of iterations, the wax layer thickness image data of the corn oil dewaxing process is output Standard wax layer thickness image data set for corn oil dewaxing process Standard wax layer thickness image data of corn oil dewaxing process Matching results;

[0029] when and If the match is successful, the output corn oil wax layer thickness meets the requirements;

[0030] when and If the match is not successful, the output corn oil wax layer thickness does not meet the requirements;

[0031] S25, judging the result of corn oil dewaxing operation;

[0032] When collecting multiple groups and , Matching is successful throughout the dewaxing operation and and If the match is successful, the output is that the wax layer formed in the corn oil is adsorbed by white clay and the corn oil dewaxing process is completed, entering the deacidification process stage.

[0033] When collecting multiple groups and , Not all matches were successful during the dewaxing operation or and If the match is not successful, the output is to continue the corn oil dewaxing operation, and feedback is given that the corn oil dewaxing process is not completed.

[0034] Preferably, the operation steps of collecting the real-time pH value data of the corn oil deacidification operation oil and the corn oil deacidification operation time data are as follows:

[0035] S31, using a pH sensor to measure the pH value of corn oil in the deacidification operation reactor online to generate real-time pH value data of corn oil deacidification operation oil .

[0036] Preferably, the steps of matching the real-time pH value data of the corn oil deacidification operation oil with the pH value data of the corn oil deacidification specified oil, and evaluating the corn oil deacidification operation process according to the pH value data matching result are as follows:

[0037] S41. Establish the pH value data interval for corn oil deacidification ,in It means that after the corn oil deacidification operation is completed, it meets the minimum pH value of the specified oil. It means that after the corn oil deacidification operation is completed, it meets the maximum pH value of the specified oil;

[0038] S42, real-time pH value data of corn oil deacidification oil during corn oil deacidification operation The pH value data interval of corn oil deacidification is specified Perform pH value data matching;

[0039] when ∈ , then the deacidification operation of the output corn oil is completed, and the decolorization operation is performed;

[0040] when , then the corn oil deacidification operation is output as completed and the deacidification operation continues.

[0041] Preferably, the operation steps of collecting real-time color image data of corn oil decolorized oil are as follows:

[0042] S51, using a camera to capture the color image of the corn oil decolorization process online and generate a real-time color image data set of the corn oil decolorization , ;in Indicates Real-time color image data of corn oil decolorization liquid, Indicates the maximum value of the real-time color image data of corn oil bleaching liquid.

[0043] Preferably, the steps of using an image recognition algorithm to match the real-time color image data of corn oil decolorized oil with the color image data of corn oil decolorized standard oil and analyzing the progress of the corn oil decolorization operation are as follows:

[0044] S61. Establishing corn oil decolorization standard oil color image data set , ;in Indicates Corn oil decolorization standard oil color image data, Indicates the maximum value of the number of color image data of corn oil decolorization standard oil;

[0045] S62, using the image recognition algorithm in S24 to collect the real-time color image data of corn oil decolorization liquid Real-time color image data of corn oil decolorization Corn oil decolorization standard oil color image data set Corn oil decolorization standard oil color image data Perform image matching;

[0046] when and If the match is successful, the corn oil decolorization operation is completed;

[0047] when and If the match is not successful, the output corn oil decolorization operation is not completed and the decolorization operation continues.

[0048] An operating system for implementing the preparation monitoring method of the nutritious and healthy corn oil as described above, the system comprises a corn oil dewaxing process control management module, a corn oil deacidification process control management module, and a corn oil decolorization process control management module;

[0049] The corn oil dewaxing process control management module includes a corn oil dewaxing oil temperature acquisition unit, a corn oil dewaxing oil starting temperature storage unit, a corn oil dewaxing process wax layer thickness image acquisition unit, a corn oil dewaxing process standard wax layer standard thickness image storage unit, and a corn oil dewaxing operation result determination unit;

[0050] The corn oil dewaxed oil temperature acquisition unit uses a temperature sensor to collect the real-time temperature data of the corn oil dewaxed oil online; the corn oil dewaxed oil starting temperature storage unit is used to store the starting temperature data of the corn oil dewaxed oil; the corn oil dewaxed oil wax layer thickness image acquisition unit uses a shooting imaging lens to collect the wax layer thickness image data of the corn oil dewaxed process online; the corn oil dewaxed process standardized wax layer standardized thickness image storage unit is used to store the standardized wax layer thickness image data of the corn oil dewaxed process; the corn oil dewaxed operation result judgment unit matches the real-time temperature data of the corn oil dewaxed oil with the starting temperature data of the corn oil dewaxed oil; uses an image recognition algorithm to match the wax layer thickness image data of the corn oil dewaxed process with the standardized wax layer thickness image data of the corn oil dewaxed process, and judges the corn oil dewaxed operation result according to the temperature data matching result and the image data matching result;

[0051] The corn oil deacidification process control management module includes a corn oil deacidification oil pH value collection unit, a corn oil deacidification specified oil pH value storage unit, and a corn oil deacidification operation result evaluation unit;

[0052] The corn oil deacidification oil pH value collection unit uses a pH value sensor to collect real-time pH value data of corn oil deacidification oil; the corn oil deacidification specified oil pH value storage unit is used to store the corn oil deacidification specified oil pH value data; the corn oil deacidification operation result evaluation unit matches the corn oil deacidification operation oil real-time pH value data with the corn oil deacidification specified oil pH value data, and evaluates the corn oil deacidification operation process according to the pH value data matching result;

[0053] The corn oil decolorization process control management module includes a corn oil decolorization oil color image acquisition unit, a corn oil decolorization standard oil color image storage unit, and a corn oil decolorization operation result analysis and output unit;

[0054] The corn oil bleached oil color image acquisition unit uses a shooting lens to collect real-time color image data of corn oil bleached oil online; the corn oil bleached standard oil color image storage unit is used to store corn oil bleached standard oil color image data; the corn oil bleaching operation result analysis and output unit uses an image recognition algorithm to match the real-time color image data of corn oil bleached oil with the color image data of corn oil bleached standard oil and analyze the corn oil bleaching operation process.

[0055] The present invention provides a method and system for monitoring the preparation of nutritious and healthy corn oil, which has the following beneficial effects:

[0056] 1. The corn oil dewaxing oil temperature acquisition unit and the corn oil dewaxing process wax layer thickness image acquisition unit are used to realize online acquisition of the starting temperature and the thickness of the wax layer in the corn oil dewaxing process, so as to realize dynamic and accurate monitoring of the dewaxing temperature and wax layer thickness of the corn oil; the corn oil dewaxing operation result judgment unit matches the collected corn oil dewaxing starting temperature with the set starting temperature, and matches the collected corn oil wax layer thickness image with the standard wax layer thickness image using the emperor penguin optimization algorithm, and uses the temperature parameters and wax layer thickness parameters to realize accurate monitoring of the corn oil dewaxing process and accurate judgment of the dewaxing operation, thereby reducing manual intervention and improving the efficiency of the corn oil dewaxing process and the quality of corn oil preparation.

[0057] 2. The corn oil deacidification oil pH value collection unit accurately collects the pH value parameters of the corn oil deacidification process, ensuring that the corn oil deacidification process is reliable and accurate, and realizing intelligent control of corn oil deacidification; the corn oil deacidification operation result evaluation unit numerically matches the oil pH value parameters detected in the corn oil deacidification process with the specified pH value range of the oil after deacidification, and realizes intelligent analysis and monitoring of the corn oil deacidification process in the corn oil deacidification process, thereby improving the intelligence and hygiene of corn oil preparation.

[0058] 3. The corn oil bleaching oil color image acquisition unit collects the corn oil bleaching oil color image data online to ensure that the corn oil bleaching process is monitored throughout, thereby improving the reliability of the corn oil bleaching operation; the corn oil bleaching operation result analysis output unit uses an image recognition algorithm to match the corn oil bleaching oil real-time color image data with the corn oil bleaching standard oil color image data to accurately analyze the corn oil bleaching operation process, thereby ensuring that the corn oil bleaching operation is scientifically monitored, improving the quality of the corn oil bleaching treatment, and improving the yield and quality of corn oil. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A composition diagram of each functional module of an operation system of a method for monitoring the preparation of nutritious and healthy corn oil provided by the present invention;

[0060] Figure 2 for Figure 1 A composition structure diagram of a preparation and monitoring method for nutritious and healthy corn oil is shown. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] The embodiments of the preparation monitoring method and system of the nutritious and healthy corn oil are as follows:

[0063] See also Figure 1 - Figure 2 , a preparation and monitoring method of nutritious and healthy corn oil, the method comprising the following steps:

[0064] S1, collecting real-time temperature data of corn oil dewaxing liquid and image data of wax layer thickness during corn oil dewaxing process;

[0065] S2, matching the real-time temperature data of corn oil dewaxing liquid with the starting temperature data of corn oil dewaxing liquid during the process of corn oil dewaxing; matching the wax layer thickness image data of corn oil dewaxing process with the standard wax layer thickness image data of corn oil dewaxing process by using an image recognition algorithm, and judging the corn oil dewaxing operation result according to the temperature data matching result and the image data matching result;

[0066] S3, collecting real-time pH value data of corn oil deacidification operation oil;

[0067] S4, matching the real-time pH value data of the corn oil deacidification operation oil with the pH value data of the corn oil deacidification specified oil, and evaluating the corn oil deacidification operation process according to the pH value data matching result;

[0068] S5, collecting real-time color image data of corn oil decolorization liquid;

[0069] S6. Use image recognition algorithm to match the real-time color image data of corn oil decolorization liquid with the color image data of corn oil decolorization standard oil and analyze the progress of corn oil decolorization operation.

[0070] For further information, see Figure 1 - Figure 2 The operation steps for collecting the real-time temperature data of corn oil dewaxing liquid and the wax layer thickness image data of corn oil dewaxing process are as follows:

[0071] S11. Use temperature sensors to measure the real-time temperature data of corn oil dewaxing liquid online ;

[0072] S12, using a photographing imaging lens to photograph and collect the thickness of the precipitated wax layer in the corn oil liquid through the light-transmitting observation window of the reactor and generate an image data set of the wax layer thickness during the corn oil dewaxing process , ;in Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the maximum value of the wax layer thickness image data of the corn oil dewaxing process, where the wax layer thickness image data of the corn oil dewaxing process The corresponding calculation formula for the thickness of the corn oil wax layer is: , Indicates the wax layer thickness value of corn oil that meets the dewaxing process requirements. The value is [1,5], The unit is millimeters, The value depends on the specific dewaxing process.

[0073] The real-time temperature data of corn oil dewaxing liquid is matched with the starting temperature data of corn oil dewaxing liquid during the process of corn oil dewaxing; the wax layer thickness image data of corn oil dewaxing process is matched with the standard wax layer thickness image data of corn oil dewaxing process by using image recognition algorithm. The operation steps of judging the corn oil dewaxing operation result according to the temperature data matching result and the image data matching result are as follows:

[0074] S21. Establishing the data set of the oil starting temperature during corn oil dewaxing ,in Indicates the oil temperature in the reactor when corn oil dewaxing operation begins. Indicates the temperature of corn oil when a wax layer is deposited after the oil is cooled;

[0075] S22. Establishment of a standardized wax layer thickness image data set for corn oil dewaxing process , ;in Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates the maximum value of the number of standardized wax layer thickness image data in the corn oil dewaxing process;

[0076] S23, the real-time temperature data of corn oil dewaxing oil Data collection of oil initial temperature during corn oil dewaxing process Data on the initial temperature of corn oil during dewaxing process , Perform data matching;

[0077] When collecting multiple groups and , If the matching is successful throughout the dewaxing operation, the output corn oil dewaxing operation oil temperature meets the requirements;

[0078] When collecting multiple groups and , If all matches are not successful in the entire dewaxing operation, the output corn oil dewaxing operation oil temperature does not meet the requirements;

[0079] S24, collecting corn oil dewaxing process wax layer thickness image data Image data of wax layer thickness in corn oil dewaxing process Using image recognition algorithm and corn oil dewaxing process to standardize wax layer thickness image data set Standard wax layer thickness image data of corn oil dewaxing process To match image data, the image recognition algorithm operation steps are as follows:

[0080] Step 1: Determine the cluster boundary range and set the location range selected in the wax layer thickness image search process where emperor penguins curl up to keep warm. Standardize the wax layer thickness image data set in the corn oil dewaxing process. Within the range, the wax layer thickness image search emperor penguin is adjacent to at least two wax layer thickness image search emperor penguins during the gathering process, and the selection of neighbors is random; while the boundary of the range in the wax layer thickness image search emperor penguin clustering process is in the standard wax layer thickness image data set of corn oil dewaxing process Therefore, the wind gradient around the wax layer thickness image is used to search for the emperor penguin cluster to represent the boundary of the entire cluster. Here, the wind speed is defined as ; and gradient a, β, wax layer thickness image search emperor penguin cluster boundary μ, expressed as , ;

[0081] Step 2: Calculate the temperature around the cluster level. The harsh external environment of Antarctica makes the emperor penguins take cluster heating to maintain temperature in the face of cold weather during migration. If the current aggregation radius d>0.5, its temperature =0; when d<0.5, its temperature =1, temperature taper curve for ,in is the maximum number of iterations, is the current iteration number, temperature The expression ;

[0082] Step 3: Calculate the distance between emperor penguins. The distance between emperor penguins within the cluster is expressed as the distance between the individual and the emperor penguin at the center of the cluster. The formula for the distance between emperor penguins is as follows:

[0083] ,in Represents the distance from the center of the wax layer thickness image search emperor penguin; Indicates the current number of iterations. and The influence vector factor used for the wax layer thickness image search emperor penguin volume setting to avoid conflicts between individuals, is the optimal solution for round x, Represents the position vector of the current wax layer thickness image search emperor penguin; F() defines the main social status of the wax layer thickness image search emperor penguin, which is responsible for distinguishing the best individuals from ordinary individuals;

[0084] Step 4: Update the position of emperor penguins and search for wax layer thickness images. Individuals in the emperor penguin cluster update their position information by moving toward the center of the cluster, i.e., standardize the wax layer thickness image data set in the corn oil dewaxing process. In the wax layer thickness image, search for the center of the emperor penguin cluster and move to update the position. The position update formula is as follows:

[0085] ,in, Indicates the next generation updated position of the wax layer thickness image search emperor penguin. During the iteration process, once the mover is relocated, the above parameters of the wax layer thickness image search emperor penguin will be recalculated;

[0086] Step 5: When the number of iterations reaches the maximum number of iterations, the wax layer thickness image data of the corn oil dewaxing process is output Standard wax layer thickness image data set for corn oil dewaxing process Standard wax layer thickness image data of corn oil dewaxing process Matching results;

[0087] when and If the match is successful, the output corn oil wax layer thickness meets the requirements;

[0088] when and If the match is not successful, the output corn oil wax layer thickness does not meet the requirements;

[0089] S25, judging the result of corn oil dewaxing operation;

[0090] When collecting multiple groups and , Matching is successful throughout the dewaxing operation and and If the match is successful, the output is that the wax layer formed in the corn oil is adsorbed by white clay and the corn oil dewaxing process is completed, entering the deacidification process stage.

[0091] When collecting multiple groups and , Not all matches were successful during the dewaxing operation or and If the match is not successful, the output is to continue the corn oil dewaxing operation, and feedback is given that the corn oil dewaxing process is not completed.

[0092] The corn oil dewaxing oil temperature acquisition unit and the corn oil dewaxing process wax layer thickness image acquisition unit are used to realize online acquisition of the starting temperature and the thickness of the wax layer formed in the corn oil dewaxing process, thereby realizing dynamic and accurate monitoring of the dewaxing temperature and wax layer thickness of the corn oil; the corn oil dewaxing operation result judgment unit matches the collected corn oil dewaxing starting temperature with the set starting temperature, and matches the collected corn oil wax layer thickness image with the standard wax layer thickness image using the emperor penguin optimization algorithm, and uses temperature parameters and wax layer thickness parameters to realize accurate monitoring of the corn oil dewaxing process and accurate judgment of the dewaxing operation, thereby reducing manual intervention and improving the efficiency of the corn oil dewaxing process and the quality of corn oil preparation.

[0093] For further information, see Figure 1 - Figure 2 The steps for collecting real-time pH data of corn oil deacidification operation are as follows:

[0094] S31, using a pH sensor to measure the pH value of corn oil in the deacidification operation reactor online to generate real-time pH value data of corn oil deacidification operation oil .

[0095] The steps of matching the real-time pH value data of the corn oil deacidification operation oil with the pH value data of the corn oil deacidification specified oil, and evaluating the corn oil deacidification operation process according to the pH value data matching result are as follows:

[0096] S41. Establish the pH value data interval for corn oil deacidification ,in It means that after the corn oil deacidification operation is completed, it meets the minimum pH value of the specified oil. It means that after the corn oil deacidification operation is completed, it meets the maximum pH value of the specified oil;

[0097] S42, real-time pH value data of corn oil deacidification oil during corn oil deacidification operation The pH value data interval of corn oil deacidification is specified Perform pH value data matching;

[0098] when ∈ , then the deacidification operation of the output corn oil is completed, and the decolorization operation is performed;

[0099] when , then the corn oil deacidification operation is output as completed and the deacidification operation continues.

[0100] The corn oil deacidification oil pH value collection unit accurately collects the pH value parameters of the corn oil deacidification process, ensuring that the corn oil deacidification process is reliable and accurate, and realizing intelligent control of corn oil deacidification; the corn oil deacidification operation result evaluation unit numerically matches the oil pH value parameters detected in the corn oil deacidification process with the specified pH value range of the oil after deacidification, and realizes intelligent analysis and monitoring of the corn oil deacidification process in the corn oil deacidification process, thereby improving the intelligence and hygiene of corn oil preparation.

[0101] For further information, see Figure 1 - Figure 2 The operation steps for collecting real-time color image data of corn oil decolorization are as follows:

[0102] S51, using a camera to capture the color image of the corn oil decolorization process online and generate a real-time color image data set of the corn oil decolorization , ;in Indicates Real-time color image data of corn oil decolorization liquid, Indicates the maximum value of the real-time color image data of corn oil bleaching liquid.

[0103] The steps of using image recognition algorithm to match the real-time color image data of corn oil decolorized oil with the color image data of corn oil decolorized standard oil and analyze the progress of corn oil decolorization operation are as follows:

[0104] S61. Establishing corn oil decolorization standard oil color image data set , ;in Indicates Corn oil decolorization standard oil color image data, Indicates the maximum value of the number of color image data of corn oil decolorization standard oil;

[0105] S62, using the image recognition algorithm in S24 to collect the real-time color image data of corn oil decolorization liquid Real-time color image data of corn oil decolorization Corn oil decolorization standard oil color image data set Corn oil decolorization standard oil color image data Perform image matching;

[0106] when and If the match is successful, the corn oil decolorization operation is completed;

[0107] when and If the match is not successful, the output corn oil decolorization operation is not completed and the decolorization operation continues.

[0108] The corn oil bleaching oil color image acquisition unit collects the corn oil bleaching oil color image data online to ensure that the corn oil bleaching process is monitored throughout, thereby improving the reliability of the corn oil bleaching operation; the corn oil bleaching operation result analysis output unit uses an image recognition algorithm to match the corn oil bleaching oil real-time color image data with the corn oil bleaching standard oil color image data to accurately analyze the corn oil bleaching operation process, thereby ensuring that the corn oil bleaching operation is scientifically monitored, improving the quality of the corn oil bleaching treatment, and improving the yield and quality of corn oil.

[0109] An operating system for realizing a method for monitoring the preparation of nutritious and healthy corn oil, the system comprises a corn oil dewaxing process control management module, a corn oil deacidification process control management module, and a corn oil decolorization process control management module;

[0110] The rice oil dewaxing process control management module includes a corn oil dewaxing oil temperature acquisition unit, a corn oil dewaxing oil starting temperature storage unit, a corn oil dewaxing process wax layer thickness image acquisition unit, a corn oil dewaxing process standard wax layer standard thickness image storage unit, and a corn oil dewaxing operation result judgment unit;

[0111] A corn oil dewaxed oil temperature acquisition unit, which uses a temperature sensor to collect real-time temperature data of corn oil dewaxed oil online; a corn oil dewaxed oil starting temperature storage unit, which is used to store the starting temperature data of the corn oil dewaxed oil; a corn oil dewaxed oil wax layer thickness image acquisition unit, which uses a shooting imaging lens to collect the wax layer thickness image data of the corn oil dewaxed process online; a corn oil dewaxed oil standardized wax layer standardized thickness image storage unit, which is used to store the standardized wax layer thickness image data of the corn oil dewaxed process; a corn oil dewaxed operation result determination unit, which matches the real-time temperature data of corn oil dewaxed oil with the starting temperature data of the corn oil dewaxed oil; uses an image recognition algorithm to match the wax layer thickness image data of the corn oil dewaxed process with the standardized wax layer thickness image data of the corn oil dewaxed process, and determines the corn oil dewaxed operation result according to the temperature data matching result and the image data matching result;

[0112] The corn oil deacidification process control management module includes a corn oil deacidification oil pH value collection unit, a corn oil deacidification specified oil pH value storage unit, and a corn oil deacidification operation result evaluation unit;

[0113] The corn oil deacidification oil pH value collection unit uses a pH value sensor to collect real-time pH value data of corn oil deacidification oil; the corn oil deacidification specified oil pH value storage unit is used to store the corn oil deacidification specified oil pH value data; the corn oil deacidification operation result evaluation unit matches the corn oil deacidification operation oil real-time pH value data with the corn oil deacidification specified oil pH value data, and evaluates the corn oil deacidification operation process according to the pH value data matching result;

[0114] The corn oil decolorization process control management module includes a corn oil decolorization oil color image acquisition unit, a corn oil decolorization standard oil color image storage unit, and a corn oil decolorization operation result analysis output unit;

[0115] The corn oil bleached oil color image acquisition unit uses a shooting lens to collect the real-time color image data of the corn oil bleached oil online; the corn oil bleached standard oil color image storage unit is used to store the corn oil bleached standard oil color image data; the corn oil bleaching operation result analysis output unit uses an image recognition algorithm to match the real-time color image data of the corn oil bleached oil with the color image data of the corn oil bleached standard oil and analyze the corn oil bleaching operation process.

[0116] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for preparing and monitoring nutritious and healthy corn oil, characterized in that: The method comprises the following steps: S1, collecting real-time temperature data of corn oil dewaxing oil and image data of wax layer thickness during corn oil dewaxing, wherein S1 comprises the following steps: S11. Use temperature sensors to measure the real-time temperature data of corn oil dewaxing liquid online ; S12, using a photographing imaging lens to photograph and collect the thickness of the precipitated wax layer in the corn oil liquid through the light-transmitting observation window of the reactor and generate an image data set of the wax layer thickness during the corn oil dewaxing process , ;in Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the first Image data of wax layer thickness during corn oil dewaxing process. Indicates the first Image data of wax layer thickness during corn oil dewaxing process. It represents the maximum value of wax layer thickness image data in the corn oil dewaxing process; S2, matching the real-time temperature data of corn oil dewaxing liquid with the starting temperature data of corn oil dewaxing liquid during the process of corn oil dewaxing; matching the wax layer thickness image data of corn oil dewaxing process with the standard wax layer thickness image data of corn oil dewaxing process by using an image recognition algorithm, and judging the corn oil dewaxing operation result according to the temperature data matching result and the image data matching result, wherein S2 comprises the following steps: S21. Establishing the data set of the oil starting temperature during corn oil dewaxing ,in Indicates the oil temperature in the reactor when corn oil dewaxing begins. Indicates the temperature of corn oil at which a wax layer is deposited when the oil is cooled; S22. Establishment of a standardized wax layer thickness image data set for corn oil dewaxing process , ;in Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. Indicates Image data of standardized wax layer thickness during corn oil dewaxing process. It indicates the maximum value of the image data quantity of the standardized wax layer thickness in the corn oil dewaxing process; S23, the real-time temperature data of corn oil dewaxing oil Data collection of oil initial temperature during corn oil dewaxing process Data on the initial temperature of corn oil during dewaxing process , Perform data matching; When collecting multiple groups and , If the matching is successful throughout the dewaxing operation, the output corn oil dewaxing operation oil temperature meets the requirements; When collecting multiple groups and , If all matches are not successful in the entire dewaxing operation, the output corn oil dewaxing operation oil temperature does not meet the requirements; S24, collecting corn oil dewaxing process wax layer thickness image data Image data of wax layer thickness in corn oil dewaxing process Using image recognition algorithm and corn oil dewaxing process to standardize wax layer thickness image data set Standard wax layer thickness image data of corn oil dewaxing process To match image data, the image recognition algorithm operation steps are as follows: Step 1: Determine the cluster boundary range and set the location range selected in the wax layer thickness image search process where emperor penguins curl up to keep warm. Standardize the wax layer thickness image data set in the corn oil dewaxing process. Within the range, the wax layer thickness image search emperor penguin is adjacent to at least two wax layer thickness image search emperor penguins during the gathering process, and the selection of neighbors is random; while the boundary of the range in the wax layer thickness image search emperor penguin clustering process is in the standard wax layer thickness image data set of corn oil dewaxing process Therefore, the wind gradient around the wax layer thickness image is used to search for the emperor penguin cluster to represent the boundary of the entire cluster. Here, the wind speed is defined as ; and gradient a, β, wax layer thickness image search emperor penguin cluster boundary μ, expressed as , ; Step 2: Calculate the temperature around the cluster level. The harsh external environment of Antarctica makes the emperor penguins take cluster heating to maintain temperature in the face of cold weather during migration. If the current aggregation radius d>0.5, its temperature =0; when d<0.5, its temperature =1, temperature taper curve for ,in is the maximum number of iterations, is the current iteration number, temperature The expression ; Step 3: Calculate the distance between emperor penguins. The distance between emperor penguins within the cluster is expressed as the distance between the individual and the emperor penguin at the center of the cluster. The formula for the distance between emperor penguins is as follows: ,in Indicates the distance from the center of the wax layer thickness image search emperor penguin; Indicates the current number of iterations. and The influence vector factor used for the wax layer thickness image search emperor penguin volume setting to avoid conflicts between individuals, is the optimal solution for round x, Indicates the position vector of the current wax layer thickness image search emperor penguin; F() defines the main social status of the wax layer thickness image search emperor penguin, which is responsible for distinguishing the best individuals from ordinary individuals; Step 4: Update the position of emperor penguins and search for wax layer thickness images. Individuals in the emperor penguin cluster update their position information by moving toward the center of the cluster, i.e., standardize the wax layer thickness image data set in the corn oil dewaxing process. In the wax layer thickness image, search for the center of the emperor penguin cluster and move to update the position. The position update formula is as follows: ,in, Indicates the next generation updated position of the wax layer thickness image search emperor penguin. During the iteration process, once the mover is relocated, the above parameters of the wax layer thickness image search emperor penguin will be recalculated; Step 5: When the number of iterations reaches the maximum number of iterations, the wax layer thickness image data of the corn oil dewaxing process is output Standard wax layer thickness image data set for corn oil dewaxing process Standard wax layer thickness image data of corn oil dewaxing process Matching results; when and If the match is successful, the output corn oil wax layer thickness meets the requirements; when and If the match is not successful, the output corn oil wax layer thickness does not meet the requirements; S25, judging the result of corn oil dewaxing operation; When collecting multiple groups and , Matching is successful throughout the dewaxing operation and and If the match is successful, the output is that the wax layer formed in the corn oil is adsorbed by white clay and the corn oil dewaxing process is completed, and the deacidification process stage is entered; When collecting multiple groups and , Not all matches were successful during the dewaxing operation or and If the match is not successful, the output is to continue the corn oil dewaxing operation, and feedback is given that the corn oil dewaxing process is not completed; S3, collecting real-time pH value data of corn oil deacidification operation oil, said S3 comprises the following steps: S31, using a pH sensor to measure the pH value of corn oil in the deacidification operation reactor online to generate real-time pH value data of corn oil deacidification operation oil ; S4, matching the real-time pH value data of the corn oil deacidification operation oil with the pH value data of the corn oil deacidification specified oil, and evaluating the corn oil deacidification operation process according to the pH value data matching result, wherein S4 includes the following steps: S41. Establish the pH value data interval for corn oil deacidification ,in It means that after the corn oil deacidification operation is completed, it meets the minimum pH value of the specified oil. It means that after the corn oil deacidification operation is completed, it meets the maximum pH value of the specified oil liquid; S42, real-time pH value data of corn oil deacidification oil during corn oil deacidification operation The pH value data interval of corn oil deacidification is specified Perform pH value data matching; when ∈ , then the deacidification operation of the output corn oil is completed, and the decolorization operation is performed; when ∉ , then the corn oil deacidification operation is output as completed, and the deacidification operation continues; S5, collecting real-time color image data of corn oil decolorization liquid, said S5 comprises the following steps: S51, using a camera to capture the color image of the corn oil decolorization process online and generate a real-time color image data set of the corn oil decolorization , ;in Indicates Real-time color image data of corn oil decolorization liquid, Indicates the maximum value of the number of real-time color image data of corn oil decolorization liquid; S6, using an image recognition algorithm to match the real-time color image data of corn oil decolorized oil with the color image data of corn oil decolorized standard oil and analyze the corn oil decolorization process, wherein S6 includes the following steps: S61. Establishing corn oil decolorization standard oil color image data set , ;in Indicates Corn oil decolorization standard oil color image data, Indicates the maximum value of the number of color image data of corn oil decolorization standard oil; S62, using the image recognition algorithm in S24 to collect the real-time color image data of corn oil decolorization liquid Real-time color image data of corn oil decolorization Corn oil decolorization standard oil color image data set Corn oil decolorization standard oil color image data Perform image matching; when and If the match is successful, the corn oil decolorization operation is completed; when and If the match is not successful, the output corn oil decolorization operation is not completed and the decolorization operation continues.

2. An operating system for implementing the preparation monitoring method of nutritious and healthy corn oil according to claim 1, characterized in that: The system includes a corn oil dewaxing process control management module, a corn oil deacidification process control management module, and a corn oil decolorization process control management module; The corn oil dewaxing process control management module includes a corn oil dewaxing oil temperature acquisition unit, a corn oil dewaxing oil starting temperature storage unit, a corn oil dewaxing process wax layer thickness image acquisition unit, a corn oil dewaxing process standard wax layer standard thickness image storage unit, and a corn oil dewaxing operation result determination unit; The corn oil dewaxed oil temperature acquisition unit uses a temperature sensor to collect the real-time temperature data of the corn oil dewaxed oil online; the corn oil dewaxed oil starting temperature storage unit is used to store the starting temperature data of the corn oil dewaxed oil; the corn oil dewaxed oil wax layer thickness image acquisition unit uses a shooting imaging lens to collect the wax layer thickness image data of the corn oil dewaxed process online; the corn oil dewaxed process standardized wax layer standardized thickness image storage unit is used to store the standardized wax layer thickness image data of the corn oil dewaxed process; the corn oil dewaxed operation result judgment unit matches the real-time temperature data of the corn oil dewaxed oil with the starting temperature data of the corn oil dewaxed oil; uses an image recognition algorithm to match the wax layer thickness image data of the corn oil dewaxed process with the standardized wax layer thickness image data of the corn oil dewaxed process, and judges the corn oil dewaxed operation result according to the temperature data matching result and the image data matching result; The corn oil deacidification process control management module includes a corn oil deacidification oil pH value collection unit, a corn oil deacidification specified oil pH value storage unit, and a corn oil deacidification operation result evaluation unit; The corn oil deacidification oil pH value collection unit uses a pH value sensor to collect real-time pH value data of corn oil deacidification oil; the corn oil deacidification specified oil pH value storage unit is used to store the corn oil deacidification specified oil pH value data; the corn oil deacidification operation result evaluation unit matches the corn oil deacidification operation oil real-time pH value data with the corn oil deacidification specified oil pH value data, and evaluates the corn oil deacidification operation process according to the pH value data matching result; The corn oil decolorization process control management module includes a corn oil decolorization oil color image acquisition unit, a corn oil decolorization standard oil color image storage unit, and a corn oil decolorization operation result analysis and output unit; The corn oil bleached oil color image acquisition unit uses a shooting lens to collect real-time color image data of corn oil bleached oil online; the corn oil bleached standard oil color image storage unit is used to store corn oil bleached standard oil color image data; the corn oil bleaching operation result analysis and output unit uses an image recognition algorithm to match the real-time color image data of corn oil bleached oil with the color image data of corn oil bleached standard oil and analyze the corn oil bleaching operation process.

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