Quality evaluating method and system for evaluating quality of alcoholic beverage based on electronic tongue data

Abstract

The present invention relates to a method and system for evaluating the quality of alcoholic beverages based on electronic tongue data, and more specifically, to a method and system for evaluating the quality of alcoholic beverages based on electronic tongue data that can quantitatively calculate the quality suitability of the alcoholic beverage by augmenting electronic tongue-based sampling data to generate synthetic data and comparing it with measurement data. Specifically, the invention provides a method for evaluating the quality of alcoholic beverages comprising the steps of: collecting sampling data from a sample alcoholic beverage using a first electronic tongue; augmenting the sampling data to generate synthetic data; collecting measurement data from a measurement alcoholic beverage using a second electronic tongue; calculating the degree of agreement between the synthetic data and the measurement data; and displaying the degree of agreement.

Description

Technology Field

[0001] The present invention relates to a method and system for evaluating the quality of alcoholic beverages based on electronic tongue data, and more specifically, to a method and system for evaluating the quality of alcoholic beverages based on electronic tongue data that can quantitatively calculate the quality suitability of alcoholic beverages by augmenting electronic tongue-based sampling data to generate synthetic data and comparing it with measurement data. Background Technology

[0003] Recently, various types of food industries have been becoming more active. Among these, alcoholic beverages are being released in diverse varieties depending on the ingredients and processing methods used in each country, and interest in the quality of alcohol is rising, evidenced by the emergence of certifications that evaluate the taste and quality of alcoholic beverages.

[0004] Conventionally, the quality assessment of alcoholic beverages relies largely on sensory evaluation or the experience of skilled personnel, which suffers from a lack of consistency due to evaluator fatigue and environmental factors. Furthermore, while fermented beverages such as traditional liquors exhibit variations depending on the season, raw materials, and fermentation environment, there is currently a lack of systems capable of statistically modeling such variability.

[0005] Consequently, attempts are underway to develop taste sensors, such as the Electronic Tongue, to evaluate the quality of alcoholic beverages. Most Electronic Tongues developed to date utilize the principle of detecting materials via electrical or optical methods using simple chemical materials, such as lipid membranes, metals, and polymers.

[0006] However, this method suffers from low selectivity and sensitivity in evaluating the quality of alcoholic beverages, and has the problem of being difficult to replicate the human taste system.

[0007] Furthermore, since alcoholic beverages are produced using the same ingredients and formulations for a long period once manufacturing is complete, it is difficult to obtain diverse samples. Consequently, there is a problem in ensuring statistical reliability for the quality evaluation of alcoholic beverages.

[0008] Hereinafter, prior art documents related to the present invention are presented.

[0009] Patent Document 001 presents a taste sensor and a bioelectronic tongue using a carbon nanotube field-effect transistor functionalized with a taste receptor protein.

[0010] Patent document 002 presents an information and communication type portable electronic tongue device designed in a portable form for multi-channel potentiometers.

[0011] Patent document 003 presents a method for recommending food and beverages based on taste characteristics for each user, based on taste measurement data and taste perception data. Prior art literature

[0013] (Patent Document 0001) KR 10-2011-0108661 A (October 06, 2011)(Patent Document 0002) KR 10-2010-0009860 A (January 29, 2010)(Patent Document 0003) KR 10-2627298 B (January 19, 2024) The problem to be solved

[0014] The purpose of the present invention is to provide an electronic tongue data-based method and system for evaluating the quality of alcoholic beverages, capable of quantitatively calculating the quality suitability of the alcoholic beverages.

[0015] In addition, the present invention aims to provide an electronic tongue data-based alcohol quality evaluation method and system that can easily calculate the quality suitability of alcohol by comparing the measurement data with synthetic data augmented by electronic tongue-based sampling data.

[0016] In addition, the present invention aims to provide an electronic tongue data-based alcohol quality evaluation method and system that can easily determine the quality suitability of alcohol by visually comparing the measurement data with synthetic data augmented by electronic tongue-based sampling data. means of solving the problem

[0018] To achieve the aforementioned objective, the electronic tongue data-based liquor quality evaluation method of the present invention may include the steps of: collecting sampling data from a sample liquor using a first electronic tongue; augmenting the sampling data to generate synthetic data; collecting measurement data from a measured liquor using a second electronic tongue; calculating the degree of agreement between the synthetic data and the measurement data; and displaying the degree of agreement.

[0019] The step of generating the synthetic data may include: converting the sampling data into standardized data; generating a covariance matrix from the standardized data; and generating the synthetic data using the covariance matrix.

[0020] The step of converting to the standardized data may include: a step of calculating the mean and standard deviation of each dimension from the sampling data; and a step of constructing a Z-Score-based standardized space using the mean and the standard deviation.

[0021] The step of generating the above covariance matrix can be expressed by the following formula by applying the covariance based on the Ledout-Wolf Shrinkage technique to the above standardized data.

[0022]

[0023] Here, is the contracted covariance matrix, and is the covariance matrix of the sampling data, I is the identity matrix, and α has a value from 0.2 to 0.6.

[0024] The step of generating the above synthetic data can generate multiple synthetic data from a multivariate normal distribution using the above covariance matrix.

[0025] The step of calculating the degree of agreement may further include a step of standardizing the measurement data to be the same as the mean and standard deviation of the sampling data.

[0026] The step of calculating the degree of agreement includes: a step of calculating the Mahalanobis distance between the synthetic data and the measurement data using the covariance matrix; and a step of calculating the degree of agreement using the Mahalanobis distance between the synthetic data and the measurement data, wherein the Mahalanobis distance can be calculated using the following formula.

[0027]

[0028] Here, d is the Mahalanobis distance, x is the vector of measured data, μ is the mean vector, T is the transpose operation, and is the inverse of the contracted covariance matrix.

[0029] The above agreement can be determined by simultaneously reflecting the probabilistic agreement and the exponential decay agreement.

[0030] In addition, the electronic tongue data-based liquor quality evaluation system of the present invention may include: a first electronic tongue that detects sampling data from a sample liquor; a second electronic tongue that detects measurement data from a measured liquor; a quality data processing system that generates synthetic data by augmenting the sampling data and calculates a degree of agreement by comparing the synthetic data with the measurement data; and a display device that displays the degree of agreement calculated by the quality data processing system on a screen.

[0031] The quality data processing system may include a data management module that manages alcohol data, the sampling data, the measurement data, and the synthetic data; a data augmentation module that generates the synthetic data by augmenting the sampling data; and a quality evaluation module that evaluates the quality of the measured alcohol by comparing the synthetic data with the measurement data. Effects of the invention

[0033] According to the present invention, there is an effect of being able to quantitatively calculate the quality suitability of alcoholic beverages.

[0034] In addition, according to the present invention, by comparing the measurement data with synthetic data augmented by electronic tongue-based sampling data, the quality suitability of alcoholic beverages can be easily calculated.

[0035] In addition, according to the present invention, by visually comparing the synthetic data augmented with electronic tongue-based sampling data and the measurement data, there is an effect of easily determining the quality suitability of alcoholic beverages. Brief explanation of the drawing

[0037] FIG. 1 is a diagram illustrating an example of the configuration of an electronic tongue data-based liquor quality evaluation system according to an embodiment of the present invention. FIG. 2 is a diagram showing examples of modules and databases used in a quality data processing system according to an embodiment of the present invention. FIG. 3 is a diagram illustrating an example of the program configuration of a quality data processing system according to an embodiment of the present invention. FIG. 4 is a flowchart illustrating an example of a method for evaluating the quality of alcohol based on electronic tongue data according to an embodiment of the present invention. FIG. 5 is a flowchart specifically illustrating the process of generating synthetic data in an electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention. FIG. 6 is a diagram illustrating an example of a case where synthetic data and measurement data are displayed on a screen by an electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention. FIG. 7 is a diagram conceptually illustrating the process of generating synthetic data using a neural network model in an electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention. FIG. 8 is a diagram illustrating an example of a network configuration of an electronic tongue data-based liquor quality evaluation system according to an embodiment of the present invention. Specific details for implementing the invention

[0038] Hereinafter, some embodiments of the present invention will be described in detail with reference to the exemplary drawings. In assigning reference numerals to the components of each drawing, the same components may have the same reference numeral as much as possible, even if they are shown in different drawings. Furthermore, in describing the present invention, if it is determined that a detailed description of related known components or functions may obscure the essence of the present invention, such detailed description may be omitted. Where terms such as "comprising," "having," or "consisting of" are used in this specification, other parts may be added unless "only" is used. Where a component is expressed in the singular, it may include a plural unless there is a special explicit description otherwise.

[0039] Additionally, terms such as first, second, A, B, (a), (b), etc., may be used when describing the components of the present invention. These terms are used merely to distinguish the components from other components, and the essence, order, sequence, or number of the components are not limited by such terms.

[0040] In describing the positional relationship of components, where it is stated that two or more components are "connected," "combined," or "joined," it should be understood that while the two or more components may be directly "connected," "combined," or "joined," they may also be "connected," "combined," or "joined" with other components "intervened." Here, the other components may be included in one or more of the two or more components that are "connected," "combined," or "joined" with one another.

[0041] In describing the temporal flow relationship regarding components, methods of operation, or methods of production, for example, when the temporal or sequential relationship is described using "after," "following," "next," or "before," it may include cases where the relationship is not continuous unless "immediately" or "directly" is used.

[0042] Meanwhile, where numerical values ​​or corresponding information regarding a component (e.g., levels, etc.) are mentioned, even without separate explicit notation, the numerical values ​​or corresponding information may be interpreted as including a range of error that may occur due to various factors (e.g., process factors, internal or external shocks, noise, etc.).

[0044] FIG. 1 is a diagram illustrating an example of the configuration of an electronic tongue data-based liquor quality evaluation system according to an embodiment of the present invention.

[0045] Referring to FIG. 1, an electronic tongue data-based liquor quality evaluation system (100) according to an embodiment of the present invention may include a first electronic tongue (31) for detecting components contained in a sample liquor (10), a second electronic tongue (32) for detecting components contained in a measured liquor (20), a quality data processing system (40) for evaluating the quality of the measured liquor (20) by comparing sample data detected through the first electronic tongue (31) with measurement data detected through the second electronic tongue (32), and a display device (50) for displaying the quality evaluation results.

[0046] Here, the sample liquor (10) is a type of liquor selected to generate sampling data representing the quality of the selected liquor, and the measurement liquor (20) corresponds to the liquor subject to evaluation for evaluating the quality of the liquor.

[0047] Additionally, the first electronic tongue (31) for detecting components contained in the sample alcohol (10) and the second electronic tongue (32) for detecting components contained in the measurement alcohol (20) may be the same electronic tongue or different electronic tongues.

[0048] For example, when targeting a sample liquor (10) and a measurement liquor (20) located in the same space, the components of the sample liquor (10) and the measurement liquor (20) can be detected using a single electronic tongue. On the other hand, when detecting the components of the sample liquor (10) and the measurement liquor (20) in different spaces or at different times, the first electronic tongue (31) and the second electronic tongue (32) may be different products with the same performance.

[0049] The electronic tongue (31, 32) can detect taste components contained in the sample alcohol (10) and the measured alcohol (20). Taste is a sensation that is expressed by stimulating taste cells with various electrolyte and non-electrolyte substances dissolved in an aqueous solution, and is used to determine the taste of the alcohol.

[0050] The taste of food, including alcoholic beverages, is composed of a mixture of five basic tastes: sweet, bitter, sour, salty, and umami. The human basic taste perception mechanism may consist of a tongue capable of perceiving taste, a signal transmission system for transmitting the results of the reaction between taste substances obtained from the tongue to the brain, and a recognition unit that analyzes the results of the electrical and chemical reactions input from the tongue. A system that mechanically mimics this human taste perception mechanism can be called an electronic tongue (31, 32).

[0051] The electronic tongue (110) may be composed of a sensor array (not shown) for detecting the components of the alcoholic beverage, a signal controller (not shown) for controlling the signal output from the sensor array (not shown), and a quality analysis program (not shown) for analyzing the detected component data to derive results. Among these, the sensor array may be composed of a bundle of two or more individual sensors that react with the components of the alcoholic beverage and output an electrical signal. The individual sensors have the characteristic of reacting non-selectively with the components of the alcoholic beverage, and the sensor array can control various chemical reactions to electrolyte materials by changing the internal doping material, which can be implemented as a polymer membrane.

[0052] The electronic tongue (31, 32) can detect the content of the components of the alcoholic beverage using a taste information unit (TIU). The taste information unit represents the concentration of the components of the alcoholic beverage and can mean a value in which the minimum difference that humans can distinguish between tastes is defined as 1 unit.

[0053] The quality data processing system (40) may include an application for evaluating the quality of alcoholic beverages. For example, the application included in the quality data processing system (40) may refer to an AlphaSoft program, but may be implemented as a separate configuration and program.

[0054] The display device (50) can display the evaluation results generated by the quality data processing system (40) on the screen using the synthetic data generated from the sample liquor (10) and the measurement data generated from the measurement liquor (20).

[0056] FIG. 2 is a diagram showing examples of modules and databases used in a quality data processing system according to an embodiment of the present invention.

[0057] Referring to FIG. 2, a quality data processing system (40) according to an embodiment of the present invention may include a data management module (41), a data augmentation module (42), a quality evaluation module (43), and a data controller (44).

[0058] The data management module (41) is a part that manages mainstream data, sampling data detected through the first electronic tongue (31), measurement data detected through the second electronic tongue (32), and synthetic data generated through the data augmentation module (42).

[0059] Alcohol data may include information related to alcohol, such as the type, name, ingredients, origin, and manufacturing region.

[0060] The sampling data may be alcohol quality data detected by the first electronic tongue (31) from the sample alcohol (10), and the measurement data may be alcohol quality data detected by the second electronic tongue (32) from the measurement alcohol (20).

[0061] Synthetic data may be augmented data generated using sampling data in the data augmentation module (42).

[0062] The data augmentation module (42) is a part that generates synthetic data by augmenting the sampling data detected by the first electronic tongue (31) from the sample liquor (10).

[0063] The data augmentation module (42) may include a standardization module, a covariance module, and a data synthesis module for augmenting the sampling data.

[0064] The standardization module can generate standardized data by calculating the mean and standard deviation from sampled data and constructing a standardized space using them.

[0065] The covariance module can generate a noise-robust covariance matrix by applying covariance to the standardized data generated by the standardization module.

[0066] The data synthesis module generates multiple synthetic datasets from a multivariate normal distribution using the covariance matrix produced by the covariance module. This generated synthetic data can mitigate the problem of sample data scarcity while preserving the seasonal characteristics and variance structure of the sampled data.

[0067] The quality evaluation module (43) is a part that evaluates the quality of the measured alcohol (20) by comparing the synthetic data generated by the data augmentation module (42) with the measurement data detected from the measured alcohol (20).

[0068] The quality evaluation module (43) may include a consistency calculation module that compares synthetic data and measurement data using evaluation indicator data, and a visualization module that visually displays the comparison results.

[0069] The agreement calculation module can calculate the degree of agreement between synthetic data and measurement data by calculating the distance between synthetic data and measurement data. For example, the agreement calculation module can use the Mahalanobis distance between synthetic data and measurement data.

[0070] Mahalanobis distance reflects the shape of the distribution better than Euclidean distance by incorporating covariance, but the results may be distorted because the covariance matrix may not be calculated well when the dimensionality is high or the sample size is small. Therefore, the agreement calculation module can reflect multiple agreement metrics simultaneously.

[0071] The operation of the data management module (41), data augmentation module (42), and quality evaluation module (43) can be controlled by the data controller (44).

[0073] FIG. 3 is a diagram illustrating an example of the program configuration of a quality data processing system according to an embodiment of the present invention.

[0074] Referring to FIG. 3, the application module (480) used in the quality data processing system (40) according to an embodiment of the present invention may include a data management module (41), a data augmentation module (42), and a quality evaluation module (43).

[0075] A program including such application modules (480) can use various operating systems (OS) as the OS of the system. These OSs control the operation of each application module (480) by providing high-level commands to the API (Application Program Interface: 461).

[0076] The program installed in the quality data processing system (40) includes a high-level command processing unit (462) that identifies each corresponding application module (480) according to the high-level command provided from the API (461), decodes the high-level command, and provides it to the corresponding location.

[0077] The application module control unit (470) controls the operation of the application module (480) according to the command provided by the high-level command processing unit (462). That is, the high-level command processing unit (462) identifies whether there is a corresponding application module (480) according to the high-level command provided through the API (461), and if there is a corresponding application module (480), decodes it into a command that can be recognized by the corresponding application module (480) and transmits it to the corresponding mapping unit or controls message transmission. Accordingly, the application module control unit (470) includes mapping units (471, 473, 475) and interface units (472, 474, 476) for the data management module (41), the data augmentation module (42), and the quality evaluation module (43), respectively.

[0078] The data management module mapping unit (471) receives high-level commands from the high-level command processing unit (462), maps them to a device level that can be processed by the data management module (41), and provides them to the data management module (41) through the data management module interface unit (472).

[0079] The data augmentation module mapping unit (473) receives a high-level command for using the data augmentation module (42) from the high-level command processing unit (462), maps it to a device-level command, and provides it to the data augmentation module (42) through the data augmentation module interface unit (474).

[0080] The quality evaluation module mapping unit (475) receives a high-level command authorized through the high-level command processing unit (462) and maps it to a device-level command that the quality evaluation module (43) can recognize. The device-level command is provided to the quality evaluation module (43) through the quality evaluation module interface unit (476).

[0082] FIG. 4 is a flowchart illustrating an example of a method for evaluating the quality of alcohol based on electronic tongue data according to an embodiment of the present invention.

[0083] Referring to FIG. 4, the method for evaluating the quality of alcoholic beverages based on electronic tongue data according to an embodiment of the present invention may include the steps of collecting sampling data from a sample alcoholic beverage (S110), augmenting the sampling data to generate synthetic data (S120), collecting measurement data from a measured alcoholic beverage (S130), calculating the degree of agreement between the synthetic data and the measurement data (S140), and displaying the result of the degree of agreement (S150).

[0084] The step (S110) of collecting sampling data from a sample alcoholic beverage is a process of generating sampling data by detecting the quality of the sample alcoholic beverage (10), which serves as a standard for quality evaluation, using the first electronic tongue (31). For example, sample data of seven dimensions or more can be collected from the sample alcoholic beverage (10) on a monthly basis using the first electronic tongue (31). In this case, the sample data serves as reference data for evaluating the quality of the alcoholic beverage and can be displayed as a matrix of a 12 x 7 array.

[0085] The step (S120) of generating synthetic data by augmenting sampling data is a process of obtaining a large amount of data by augmenting the sampling data detected from the sample liquor (10) in order to improve the stability and reliability of the evaluation from the limited sample liquor (10).

[0087] FIG. 5 is a flowchart specifically illustrating the process of generating synthetic data in an electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention.

[0088] Referring to FIG. 5, in a method for evaluating the quality of alcohol based on electronic tongue data according to an embodiment of the present invention, the step of generating synthetic data (S120) may include the step of converting sampling data into standardized data (S122), the step of generating a covariance matrix from the standardized data (S124), and the step of generating synthetic data using the covariance matrix (S126).

[0089] The step of converting sampling data into standardized data (S122) is a process of calculating the mean and standard deviation of each dimension from the sampling data corresponding to the reference data, and using this to construct a Z-Score-based standardized space. Here, the Z-Score is an indicator in statistics that represents, in units of standard deviation, how far a specific value is from the population mean.

[0090] The step of generating a covariance matrix from standardized data (S124) is a process of estimating a noise-robust covariance matrix by applying the covariance based on the Ledoit-Wolf Shrinkage technique to the standardized data. Here, the covariance matrix can be expressed by the following formula.

[0091]

[0092] Here, is the contracted covariance matrix, and is the covariance matrix of the sampling data, I is the identity matrix, and α can have a value from 0.2 to 0.6.

[0093] The aforementioned Redois-Wolf contraction technique is one of the methods for reliably estimating high-dimensional covariance matrices and is effective in resolving noise issues that occur when the dimensionality of standardized data is greater than that of sample data.

[0094] The step of generating synthetic data using a covariance matrix (S126) is a process of generating multiple synthetic data from a multivariate normal distribution using a covariance matrix.

[0095] During the process of generating synthetic data, abnormal data can be removed based on the Mahalanobis distance. The resulting synthetic data can mitigate the problem of data scarcity while preserving the seasonal characteristics and variance structure of the sample data.

[0096] The alcohol quality evaluation system (100) of the present invention can evaluate the quality by comparing the synthesized data generated in this way with the measurement data of the measured alcohol detected through the second electronic tongue (32).

[0098] The step of collecting measurement data from the measurement liquor (S130) is a process of detecting measurement data from the measurement liquor to be compared with synthetic data using the second electronic tongue (32). The second electronic tongue (32) may be the same device as the first electronic tongue (31) or a different device.

[0099] The step (S140) of calculating the degree of agreement between synthetic data and measurement data is a process of comparing augmented synthetic data and measurement data in the quality data processing system (40).

[0100] The quality data processing system (40) can calculate the degree of agreement between synthetic data and measurement data by standardizing the measurement data to be equal to the mean and standard deviation of the sampling data and calculating the distance between the synthetic data and the measurement data using a covariance matrix. For example, the degree of agreement between synthetic data and measurement data can be calculated using the Mahalanobis distance between the synthetic data and the measurement data as shown below.

[0101]

[0102] Here, d is the Mahalanobis distance, x is the vector of measured data, μ is the mean vector, T is the transpose operation, and is the inverse of the contracted covariance matrix.

[0103] Mahalanobis distance reflects the shape of the distribution better than Euclidean distance by incorporating covariance, but the results may be distorted when the dimensionality is high or the sample size is small, as the covariance matrix may not be calculated accurately. Therefore, multiple agreement indicators can be reflected simultaneously.

[0104] For example, the agreement between synthetic data and measurement data can simultaneously reflect both probabilistic agreement and exponential decay agreement.

[0105] Here, the probability of agreement can be expressed as a percentage (%) of the upper probability (p-value) of a specific value using the chi-square distribution as shown in the formula below.

[0106]

[0107] Here, is the final probability value, and is the Cumulative Distribution Function (CDF) of the chi-squared distribution with n degrees of freedom, d is the Mahalanobis distance, and df=n is the degrees of freedom of the chi-squared distribution.

[0108] In addition, exponential damping agreement can be expressed as shown in the formula below.

[0109]

[0110] Here, represents the reliability of the measurement data, and d is the Mahalanobis distance, represents the standard deviation.

[0112] The step (S150) of displaying the result of the agreement is a process of displaying the degree of agreement between the synthetic data and the measurement data through a display device (50) so that the degree of agreement can be recognized externally.

[0114] FIG. 6 is a diagram illustrating an example of a case where synthetic data and measurement data are displayed on a screen by an electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention.

[0115] Referring to FIG. 6, in the case of the electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention, it can be seen that 12 sample data (Reference) are augmented into 154 synthetic data through a data augmentation process.

[0116] In this way, by displaying the measurement data (New Sample) of the measured alcohol on the augmented synthetic data, the degree of quality agreement between the measured alcohol and the sample alcohol can be visually verified.

[0117] Meanwhile, although the above example describes a case where sampling data detected in the sample liquor (10) is augmented, the quality match can be calculated by augmenting not only the sampling data but also the measurement data detected in the measurement liquor (20).

[0119] FIG. 7 is a diagram conceptually illustrating the process of generating synthetic data using a neural network model in an electronic tongue data-based liquor quality evaluation method according to an embodiment of the present invention.

[0120] Referring to FIG. 7, in the method for evaluating the quality of alcoholic beverages based on electronic tongue data according to an embodiment of the present invention, the quality data processing system (40) can generate synthetic data through an artificial intelligence learning and inference model by connecting the sampling data of the sample alcoholic beverage (10) and the measurement data of the measured alcoholic beverage (20) in the form of a neural network.

[0121] In this specification, connecting sampling data and measurement data in the form of a neural network means that weights can be determined at each data transformation step by reflecting the characteristics of each layer. In this case, the weights applied to the characteristics of each layer may be the same or different. Alternatively, the characteristics of some layers may have the same weight, while the characteristics of the remaining layers may have different weights.

[0122] At this time, the characteristics for determining the step of augmenting the sampling data and measurement data can be determined by the standardization module, the covariance module, and the data synthesis module.

[0123] In addition, the electronic tongue data-based liquor quality evaluation system (100) of the present invention may receive sampling data and measurement data from a plurality of electronic tongues (31, 32) connected via a communication network, calculate the quality consistency, and provide the result to a user terminal.

[0125] FIG. 8 is a diagram illustrating an example of a network configuration of an electronic tongue data-based liquor quality evaluation system according to an embodiment of the present invention.

[0126] Referring to FIG. 8, an electronic tongue data-based liquor quality evaluation system according to an embodiment of the present invention may include a first electronic tongue (31), a second electronic tongue (32), a communication network (70), a quality data processing system (40), and a user terminal (60) to facilitate the functions and features described in this specification.

[0127] The user terminal (60) is a user terminal device that can access the quality data processing system (40) through the communication network (70) to request a quality evaluation of the sampling data and measurement data or to check the quality consistency.

[0128] The quality data processing system (40) is a device that evaluates the degree of quality consistency by comparing the sampling data of a sample alcoholic beverage and the measurement data of a measured alcoholic beverage in response to a request from a user terminal (60).

[0129] The quality data processing system (40) can provide a web page containing information on a sample alcoholic beverage, information on a measured alcoholic beverage, and quality matching information comparing the sampling data and the measured data to a user terminal (60) connected via a communication network (70).

[0130] Here, web pages include not only wired web pages displayed on the monitor screen of a computer connected via wired internet, such as a PC, but also wireless web pages displayed on the screen of a mobile device connected via wireless internet, such as a smartphone.

[0131] The quality data processing system (40) may include a controller, an integrated circuit, a programmable logic circuit, or other database and signal processing device comprising any number or combination thereof to perform the functions of the present invention, and may also include one or more memories, a transmitter and a receiver, a display, and a communication module capable of communicating with various devices. Additionally, it may include a computer program that performs data operations to determine the degree of agreement between sampling data and measurement data through a specified algorithm and displays the result so that it can be recognized externally through a display, and a user interface implemented to allow a user to operate the same.

[0132] In the electronic tongue data-based liquor quality evaluation method of the present invention, the computer program includes a plurality of code segments executable in a quality data processing system (40) to perform each step. At this time, each step of the electronic tongue data-based liquor quality evaluation method of the present invention may be performed according to the order described in the detailed description, but may be performed in a different order unless explicitly mentioned. In addition, some steps may be performed simultaneously, and some steps may be performed selectively.

[0133] The quality data processing system (40) may include an electronic device capable of accessing one or more general-purpose computing resources, such as internet services, email services, and data transmission services. Additionally, it may include a user database that stores user-specific information for accessing online resources through a communication network (70), and the database may store other information and data necessary for implementing the electronic data-based liquor quality evaluation system (100) of the present invention.

[0134] The quality data processing system (40) may include any device or equipment including memory associated with a controller. The controller may implement an operating system and execute computer programs known as instructions, software code, executables, applications, apps, etc. The controller may be a microcontroller, a Field Programmable Gate Array (FPGA), or a combination thereof. The memory may store or hold computer programs and may store text, databases, graphics, audio, video, combinations thereof, and other data. The memory may be referred to as a computer-readable medium or a computer-readable storage medium and may include Random Access Memory (RAM), Read Only Memory (ROM), a flash drive, a floppy disk, a hard disk, a compact disc (CDROM), a Digital Video Disc (DVD), or a combination thereof.

[0135] The quality data processing system (40) may additionally include a file store including a plurality of hard disks, network attached storage, or a separate storage network along with this memory.

[0136] The user terminal (60) may specifically include a mobile communication device (including a wireless device), a workstation, a desktop computer, a laptop computer, a palmtop computer, a tablet computer, a PDA (portable digital assistant), a smartphone, or a combination thereof. Various embodiments of the user terminal (60) may include a computer capable of wired connection, such as a mobile phone, a mobile phone, a smartphone, or a PC.

[0137] The user terminal (60) may have an electronic display such as a cathode ray tube, liquid crystal display, plasma, or touch screen that displays visual graphics, images, text, etc.

[0138] According to an embodiment of the present invention, a computer program installed in a quality data processing system (40) facilitates interaction and communication through a graphical user interface (GUI) displayed via an electronic display. The graphical user interface enables interaction with the electronic display by touching or pointing to display areas to provide user information to the user control interface.

[0139] The quality data processing system (40) may include a user control interface to enable one or more users to share information and commands with one another. The user control interface may include voice recognition elements such as buttons, keyboards, switches, scroll wheels, and microphones, and one or more functional inputs such as a mouse, touchpad, trackball, and stylus. The user control interface may also include a speaker to provide audible instructions and feedback. Furthermore, the user control interface may include wired or wireless data transmission elements, such as communication components, removable memory, data transceivers, or transmitters, to enable remote interfacing with a user or other electronic devices.

[0140] The communication network (70) may be a wired or wireless network and may include communication servers, routers, switches, wireless receivers and transmitters, as well as electrically conductive cables or optical cables. The communication network (70) may also include a LAN (local area network), a MAN (metro area network), or a WAN (wide area network), as well as the Internet or other cloud networks. Furthermore, the communication network (70) may include a cellular or mobile phone network, as well as a landline phone network, a PSTN (public switched telephone network), a fiber optic network, etc.

[0141] Both the user terminal (60) and the quality data processing system (40) may be connected to a communication network (70). The user terminal (60) may also communicate with other servers or computer terminals, etc., through the communication network (70). The connection to the communication network (70) may be wired or wireless, and the quality data processing system (40) may include appropriate components for establishing a wired or wireless connection.

[0142] A computer program for performing the electronic tongue data-based liquor quality evaluation method of the present invention may be executed on a user terminal (60) and a quality data processing system (40). For example, a first part of the program, code, or instructions may be executed on the user terminal (60), while a second part of the program, code, or instructions may be executed on the quality data processing system (40). In some embodiments, other parts of the program, code, or instructions may be executed on other electronic devices. For example, information specific to each user may be stored in the memory of the user terminal (60) or the quality data processing system (40), and thus information specific to each user may be remotely accessed by a user or administrator using one or more computer programs.

[0143] In an embodiment of the present invention, the computer program may be implemented as a standalone program installed in a quality data processing system (40) or as a web-accessible program accessible by a user terminal (60) via a communication network (70). In the case of a standalone program, a downloadable version of the computer program may be stored at least partially in the quality data processing system (40). A user may download at least a portion of the computer program to a user terminal (60) via the communication network (70).

[0144] To perform the method for evaluating the quality of alcohol based on electronic tongue data according to an embodiment of the present invention, the computer program may be an application, such as an app installed on a mobile device. After the computer program is downloaded, the program may be installed in an executable format on a user terminal (60) or a quality data processing system (40). An executable format program allows the user to access the quality data processing system (40) through electronic resources, such as a mobile app or a website. In the case of a web-accessible computer program, the user may access the computer program of the quality data processing system (40) through a communication network (70) using the user terminal (60).

[0145] The foregoing description and the attached drawings are merely illustrative of the technical concept of the present invention, and those skilled in the art to which the present invention pertains will be able to make various modifications and variations, such as combining, separating, substituting, and changing the components, within the scope of the essential features of the present invention. Accordingly, the embodiments disclosed in the present invention are intended to explain, not limit, the technical concept of the present invention, and the scope of the technical concept of the present invention is not limited by these embodiments. That is, within the scope of the purpose of the present invention, all components may be selectively combined and operated in one or more ways. The scope of protection of the present invention shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of the present invention.

Claims

Claim 1 A method for evaluating the quality of alcoholic beverages based on electronic tongue data, comprising: a step of collecting sampling data from a sample alcoholic beverage using a first electronic tongue; a step of generating synthetic data by augmenting the sampling data; a step of collecting measurement data from a measurement alcoholic beverage using a second electronic tongue; a step of calculating the degree of agreement between the synthetic data and the measurement data; and a step of displaying the degree of agreement; wherein the step of generating synthetic data includes: a step of converting the sampling data into standardized data; a step of generating a covariance matrix from the standardized data; and a step of generating the synthetic data using the covariance matrix. Claim 2 delete Claim 3 ◈Claim 3 was abandoned upon payment of the registration fee.◈ A method for evaluating the quality of alcoholic beverages based on electronic tongue data, wherein the step of converting to standardized data comprises: a step of calculating the mean and standard deviation of each dimension from the sampling data; and a step of constructing a Z-Score-based Standardized Space using the mean and the standard deviation. Claim 4 ◈Claim 4 was abandoned upon payment of the registration fee.◈ In Claim 1, the step of generating the covariance matrix involves applying the covariance based on the Ledoit-Wolf Shrinkage technique to the standardized data and expressing the covariance matrix using the following formula, an electronic tongue data-based alcohol quality evaluation method. (Here, is the contracted covariance matrix, and is the covariance matrix of the sampling data, and I is the identity matrix, and has a value of 0.2 to 0.6.) Claim 5 In claim 1, the step of generating the synthetic data is an electronic tongue data-based alcohol quality evaluation method that generates a plurality of synthetic data from a multivariate normal distribution using the covariance matrix. Claim 6 In claim 1, the step of calculating the degree of agreement further comprises the step of standardizing the measurement data to be the same as the mean and standard deviation of the sampling data; an electronic tongue data-based alcohol quality evaluation method. Claim 7 In claim 1, the step of calculating the degree of agreement comprises: a step of calculating the Mahalanobis distance between the synthetic data and the measurement data using the covariance matrix; and a step of calculating the degree of agreement using the Mahalanobis distance between the synthetic data and the measurement data; wherein the Mahalanobis distance is calculated using the following formula. (Here, d is the Mahalanobis distance, x is the vector of the measured data, μ is the mean vector, and is the transpose operation, and is the inverse of the contracted covariance matrix.) Claim 8 In claim 7, the degree of agreement is determined by simultaneously reflecting a probabilistic degree of agreement and an exponential decay degree of agreement, in an electronic tongue data-based alcohol quality evaluation method. Claim 9 An electronic tongue data-based liquor quality evaluation system comprising: a first electronic tongue for detecting sampling data from a sample liquor; a second electronic tongue for detecting measurement data from a measured liquor; a quality data processing system for generating synthetic data by augmenting the sampling data and calculating a degree of agreement by comparing the synthetic data with the measurement data; and a display device for displaying the degree of agreement calculated by the quality data processing system on a screen; wherein the synthetic data is generated through the steps of: converting the sampling data into standardized data; generating a covariance matrix from the standardized data; and generating the synthetic data using the covariance matrix. Claim 10 In claim 9, the quality data processing system comprises: a data management module that manages alcohol data, the sampling data, the measurement data, and the synthetic data; a data augmentation module that generates the synthetic data by augmenting the sampling data; and a quality evaluation module that evaluates the quality of the measured alcohol by comparing the synthetic data with the measurement data; an electronic tongue data-based alcohol quality evaluation system.

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