TWI841937B - Beverage quality remote detecting system and method thereof - Google Patents

Abstract

A beverage quality remote detecting method includes: providing a plurality of beverage physical data and a plurality of beverage chemical data from at least one or a plurality of beverage samples; calculating and training the beverage physical data and the beverage chemical data with a mathemtical algorithm to obtain a trained beverage data; testing the trained beverage data to obtain a tested beverage data and building a beverage quality detection model with the tested beverage data; and providing a beverage quality result of beverage from the beverage quality detection model in a beverage quality remote detecting operation.

Description

Remote detection system and method for beverage quality

The present invention relates to a remote detecting system and method for beverage quality; in particular, to a remote detecting system and method for temperature-related beverage quality.

For example, the method for improving the texture and taste of malt beverages or related technologies are commonly used, such as the invention patent application of US Patent Publication No. US-20030039721 "Process for enhancing the body and taste of malt beverages", which discloses a method for increasing the texture and taste of malt beverages, and the method for increasing the texture and taste of malt beverages adopts an effective amount of sugar polymer added to a malt beverage in a processing process.

As mentioned above, the malt drink of the aforementioned US-20030039721 is prepared by brewing a mixture, and the mixture comprises malt, hops, water, sugar polymer and one or more additives configured as required.

As mentioned above, compared with the malt drink having the same formulation but not containing the sugar polymer, the aforementioned US-20030039721 states that since the malt drink uses the sugar polymer, the dosage of the sugar polymer is sufficient to enhance one or more sensory characteristics defined below.

As mentioned above, the functional characteristics of the sugar polymer of the malt drink of the aforementioned US-20030039721 include: a. body or mouthfeel; b. flavor; or c. foam characteristic, and the sugar polymer is a food acceptable, non-toxic sugar polymer, and the sugar polymer is resistant to enzyme digestion in the human stomach.

However, the method of increasing the texture and taste of malt beverages in the aforementioned US-20030039721 only uses the sugar polymer to simply achieve the functional texture or taste, flavor or foaming characteristics, and it cannot achieve remote detection of beverage quality or other related remote detection operations in beverage production.

Another commonly used method for improving the texture (quality) and taste of malt beverages or related technologies, for example: US Patent Publication No. US-20050163884 "Process for enhancing the body and taste of malt beverages" discloses another method for increasing the texture and taste of malt beverages, and the method for increasing the texture and taste of malt beverages adopts an effective amount of sugar polymer added to a malt beverage during a processing process.

As mentioned above, the malt drink of the aforementioned US-20050163884 is brewed from a mixture, and the mixture includes malt, hops, water, polydextrose and one or more additives configured as required.

As mentioned above, compared with the malt drink with the same formula but without the polydextrose, the aforementioned US-20050163884, because the malt drink adopts the polydextrose, the dosage of the polydextrose is sufficient to achieve one or more functional properties defined below.

As mentioned above, the functional properties of the polydextrose in the malt drink of the aforementioned US-20050163884 include: a. texture or mouthfeel; b. flavor; or c. foaming properties, and the polydextrose is a food-acceptable, non-toxic sugar polymer, and the polydextrose can resist the digestive action of enzymes in the human stomach.

However, the method of increasing the texture and taste of malt beverages in the aforementioned US-20050163884 only uses the sugar polymer to simply achieve the functional texture or taste, flavor or foaming characteristics, and it cannot achieve remote detection of beverage quality or other related remote detection operations in beverage production.

Another application is a real-time quality monitoring system, method or related technology for batch production of beverage products, such as the invention patent application of US Patent Publication No. US-20190121374 "Real-time quality monitoring of beverage batch production using densitometry", which discloses a method for tracking beverage quality in a batch process using density measurement (densitometry).

As mentioned above, the beverage quality tracking method of the aforementioned US-20190121374 includes: adding a first component to water to form a first batch; mixing the first batch until the batch is fully mixed; adding a second component to the first batch to form a second batch; mixing the second batch until the second batch is fully mixed.

As mentioned above, the beverage quality tracking method of the aforementioned US-20190121374 further includes: measuring the density of the second batch using an in-line density measuring device; monitoring a density change of the second batch; detecting a deviation based on the density change of the second batch relative to a target recipe; and real-time correcting any deviation of the density change of the second batch.

However, the method of tracking beverage quality by density measurement in batch production in the aforementioned US-20190121374 only uses the method of monitoring the density change of the batch to simply achieve the correction of any deviation of the density change of the batch. It cannot achieve remote detection of beverage quality or other related remote detection operations in beverage production.

Another real-time quality monitoring system, method or related technology for batch production of beverage products, for example: US Patent Publication No. US-20200201367 "Real-time quality monitoring of beverage batch production using densitometry", which discloses another method for producing beverages in a batch process.

As mentioned above, the beverage production method in the batch process of the aforementioned US-20200201367 includes: adding a first component to water to form a batch; mixing the batch; measuring a drive gain of the batch using an online density measuring device; monitoring the amplitude variation of the drive gain of the batch.

As mentioned above, the beverage production method in the batch process of the aforementioned US-20200201367 further includes: comparing the amplitude variation of the driving gain of the batch with a predetermined valve value [threshold]; and providing an indication [indication], and based on the comparison of the amplitude variation of the driving gain of the batch with the predetermined valve value, the indication is that the batch is uniformly dispersed or completely dissolved, wherein the batch is continuously mixed until it provides the indication of the batch.

However, the aforementioned beverage production method in batch process of US-20200201367 only adopts the method of comparing the amplitude variation of the driving gain of the batch with the predetermined valve value to simply provide the indication of the batch, and it cannot achieve remote detection of beverage quality or other related remote detection operations in beverage production.

Although the aforementioned U.S. Patent Publications No. US-20030039721, No. US-20050163884, No. US-20190121374 and No. US-20200201367 disclose various beverage product quality (texture), taste or flavor adjustment processing and related monitoring or detection technologies, there is bound to be a potential demand for further improving the quality (texture), taste or flavor processing methods and related applications.

Obviously, the aforementioned U.S. patent applications No. US-20030039721, No. US-20050163884, No. US-20190121374 and No. US-20200201367 are only references to the technical background of the present invention and illustrate the current state of technological development, and are not intended to limit the scope of the present invention.

In view of this, in order to meet the above technical problems and needs, the present invention provides a remote detection system and method for beverage quality, which utilizes a plurality of beverage physical data (such as temperature, density, optical refractive index, salinity or viscosity) and a plurality of beverage chemical data (such as dissolved oxygen content, hardness, pH value or conductivity) to calculate and train with a mathematical algorithm to obtain a trained beverage data, and the trained beverage data is sent to the remote detection system and method. The training beverage data is tested to obtain a tested beverage data, and a beverage quality detection model is established using the tested beverage data, and a beverage quality detection result is provided from the beverage quality detection model to perform a remote detection operation of the beverage quality, so that the purpose and effect of the detection accuracy can be greatly improved compared to the quality (texture), taste or flavor adjustment (monitoring or detection) of the used beverage product.

The main purpose of the present invention is to provide a remote detection system and method for beverage quality, which utilizes a plurality of beverage physical data (such as temperature, density, optical refractive index, salinity or viscosity) and a plurality of beverage chemical data (such as dissolved oxygen content, hardness, pH value or conductivity) to calculate and train with a mathematical algorithm, so as to obtain a trained beverage. Data data, and the trained beverage data data is tested to obtain a tested beverage data data, and a beverage quality detection model is established using the tested beverage data data, and a beverage quality detection result is provided from the beverage quality detection model, so as to perform a remote detection operation of the beverage quality, so as to achieve the purpose and effect of improving its detection accuracy.

In order to achieve the above-mentioned purpose, the remote detection system of beverage quality in the preferred embodiment of the present invention includes:

A plurality of physical data of beverages, which are inputted by a first detection unit through detection of at least one or more beverages;

A number of beverage chemical data, which are inputted by testing the beverage through a second detection unit; and

A computing unit having at least one mathematical algorithm, and using a plurality of beverage physical data and a plurality of beverage chemical data to perform calculations and training with the mathematical algorithm, so as to obtain a trained beverage data;

The trained beverage data is tested to obtain tested beverage data, and a beverage quality detection model is established using the tested beverage data, and a beverage quality detection result is provided from the beverage quality detection model to perform remote detection of beverage quality.

The preferred embodiment of the present invention utilizes an input unit to connect to a water source water quality monitoring database, a river water quality monitoring database or other water quality monitoring database.

The trained beverage data of the preferred embodiment of the present invention undergoes a cross-validation operation.

The mathematical algorithm of the preferred embodiment of the present invention includes several mathematical parameters or several statistical parameters.

The statistical parameters of the preferred embodiment of the present invention include a mean value, a standard deviation, a maximum value, a minimum value and a correlation coefficient.

In order to achieve the above-mentioned purpose, the remote detection method of beverage quality in the preferred embodiment of the present invention includes:

Providing a plurality of beverage physical data and a plurality of beverage chemical data from at least one or more beverages;

Calculate and train a number of the beverage physical data and a number of the beverage chemical data using a mathematical algorithm to obtain a trained beverage data;

Testing the trained beverage data to obtain tested beverage data, and using the tested data to establish a beverage quality detection model; and

A beverage sample to be tested is tested by the beverage quality detection model to provide a beverage quality detection result so as to perform remote detection of beverage quality.

The several physical data of the beverage in the preferred embodiment of the present invention include several beverage temperatures, several beverage densities, several beverage optical refractive indices (sweetness), several beverage salinities, several beverage viscosities or any combination thereof.

The several chemical data of the beverage in the preferred embodiment of the present invention include several dissolved oxygen contents of the beverage, several hardness of the beverage, several pH values of the beverage, several conductivity of the beverage or any combination thereof.

The drink in the preferred embodiment of the present invention is selected from a hot drink, a cold drink, a refrigerated drink or any combination thereof.

The mathematical algorithm of the preferred embodiment of the present invention is selected from a linear regression model, an artificial neural network model or a gene expression planning model.

11: Physical data of beverages

12: Beverage chemistry data

13: Water quality monitoring database

2: Computing unit

20: Beverage data detection unit

201: Temperature sensing module

202: Physical data sensing module

203: Chemical data sensing module

21: Mathematical Algorithms

31: Beverage quality testing model

32: Beverage quality and water quality testing model

4: Quality-temperature data model

41: Quality-Low Temperature Data Model

42: Quality-Ultra-low temperature data model

43: Quality-High Temperature Data Model

44: Quality-Ultra-high temperature data model

Figure 1: Block diagram of a remote detection system for beverage quality according to a preferred embodiment of the present invention.

Figure 2: A block diagram of a beverage data detection unit used in a remote detection system for beverage quality according to another preferred embodiment of the present invention.

Figure 3: Schematic diagram of the process of the remote detection method of beverage quality in the preferred embodiment of the present invention.

Figure 4: A block diagram of a remote detection system for beverage quality according to another preferred embodiment of the present invention.

Figure 5: A block diagram of a quality-temperature data model used in a remote detection system for beverage quality in another preferred embodiment of the present invention.

In order to fully understand the present invention, the following will give examples of preferred embodiments and provide detailed descriptions with the accompanying drawings, which are not intended to limit the present invention.

The remote detection system and method of beverage quality of the preferred embodiment of the present invention is applicable to various beverage quality control operations and management systems and methods, such as: mineral water, sparkling water, carbonated beverages, fruit juices, dairy beverages, coffee, tea, refreshing drinks, health drinks, nutritional supplements, cocktails, wine or other beverages, but it is not used to limit the scope of application of the present invention.

In addition, the remote detection system and method of beverage quality of the preferred embodiment of the present invention can be optionally combined with various automated equipment, various semi-automated equipment or various non-automated equipment, such as: beverage preparation management equipment, food safety testing equipment, beverage packaging management equipment, beverage storage management equipment, beverage transportation management equipment or other beverage manufacturing equipment, but it is not used to limit the scope of application of the present invention.

FIG. 1 is a block diagram of a remote detection system for beverage quality of a preferred embodiment of the present invention. Referring to FIG. 1, for example, the remote detection system for beverage quality of a preferred embodiment of the present invention includes a plurality of beverage physical data 11, a plurality of beverage chemical data 12, and at least one calculation unit 2.

Please refer to FIG. 1 again. For example, the remote detection system for beverage quality of the preferred embodiment of the present invention further includes at least one input unit (not shown) and at least one output unit (not shown), and the input unit is selected from a computer data input unit, and the output unit is selected from a computer data output unit, and the input unit and the output unit are appropriately connected to the computing unit 2.

Please refer to FIG. 1 again. For example, several of the beverage physical data 11 are selected from several beverage materials [beverage texture], and several of the beverage materials include several beverage temperatures [temperature], several beverage densities [density], several beverage optical refractive indices [sweetness] [refraction], several beverage salinities [salinity], several beverage viscosities [viscosity] or any combination thereof, and several of the beverage physical data 11 can be selected to be input through the input unit after detection.

Please refer to FIG. 1 again. For example, the beverage chemical data 12 are selected from beverage chemical properties or beverage electrochemical properties, and the beverage chemical data 12 include beverage dissolved oxygen, beverage hardness, beverage pH value, beverage electrical conductivity, or any combination thereof. The beverage chemical data 12 can be input through the input unit after detection.

FIG. 2 is a block diagram showing a beverage data detection unit used in a remote detection system for beverage quality according to another preferred embodiment of the present invention. Referring to FIG. 2, for example, a beverage data detection unit 20 is used in a remote detection system for beverage quality according to another preferred embodiment of the present invention, and the beverage data detection unit 20 is appropriately electrically connected to the computing unit 2 so as to appropriately transmit at least one or more detected data to the computing unit 2.

Please refer to Figure 2 again. For example, the beverage data detection unit 20 may optionally include a temperature sensor module 201, a physical data sensor module 202, a chemical data sensor module 203, any combination thereof, or other sensor modules.

Please refer to FIG. 2 again. For example, the beverage data detection unit 20 can select the beverage chemical data 12 to be displayed as a slightly acidic beverage (e.g., carbonated beverage or similar beverage) or a slightly alkaline beverage (e.g., alkaline ionized water or similar beverage).

Please refer to FIG. 2 again. For example, the beverage data detection unit 20 may optionally include an electrode array, and the electrode array includes at least one or more working electrodes, at least one or more auxiliary electrodes, and at least one or more reference electrodes. The working electrode may be made of at least one noble metal (e.g., platinum, gold, palladium, or a composite noble metal thereof), the auxiliary electrode may be made of at least one noble metal (e.g., platinum, or a composite noble metal thereof), and the reference electrode may be made of at least one noble metal (e.g., platinum, or a composite noble metal thereof).

Please refer to FIG. 1 again. For example, the computing unit 2 of another preferred embodiment of the present invention can be connected to various beverage physical or chemical data detection units by appropriate technical means, and the computing unit 2 can be selected from a workstation computer, a desktop computer, a notebook computer, a tablet personal computer, a mobile communication device, a smart phone or other devices with computer functions, but it is not used to limit the scope of the present invention.

Please refer to FIG. 1 again. For example, the computing unit 2 may optionally have at least one or more mathematical algorithms 21, and the mathematical algorithm 21 is selected from a linear regression model, an artificial neural network model, or a gene expression programming model.

Please refer to FIG. 1 again. For example, the mathematical algorithm 21 includes several mathematical parameters or several statistical parameters, and the statistical parameters may include an average, a standard deviation, a maximum, a minimum, and a correlation coefficient.

Please refer to FIG. 1 again. For example, the execution method of the remote detection system and method of the beverage quality of the preferred embodiment of the present invention is a computer-executable process step, which can be executed on various computer devices, such as workstation computers, desktop computers, laptop computers, tablet computers, mobile communication devices, smart phones or other devices with computer functions, but it is not used to limit the scope of the present invention.

Please refer to Figure 1 again. For example, the output unit (not shown) is connected to the computing unit 2 by appropriate technical means, and the output unit is further connected to a terminal device, a display device, a projection device, a storage device, a server device, an agricultural cultivation management center or any combination thereof by appropriate technical means.

FIG. 3 is a schematic flow chart of the remote detection method of the beverage quality of the preferred embodiment of the present invention, which corresponds to the remote detection system of the beverage quality of FIG. Referring to FIG. 1 and FIG. 3, the remote detection method of the beverage quality of the preferred embodiment of the present invention includes step S1: First, for example, by using appropriate technical means [such as: automatic method, semi-automatic method or manual method], a plurality of physical data 11 of the beverage and a plurality of chemical data or other relevant data of the beverage are provided from at least one or more beverages [not shown] through the input unit.

Please refer to Figures 1 and 3 again. For example, the beverage (not shown) of the preferred embodiment of the present invention can be selected from a hot beverage, a cold beverage, a refrigerated beverage or any combination thereof.

Please refer to Figures 1, 2 and 3 again. The remote detection method of the beverage quality of the preferred embodiment of the present invention includes step S2: Then, for example, a plurality of the beverage physical data 11 and a plurality of the beverage chemical data 12 are calculated and trained with at least one or more mathematical algorithms 21 by appropriate technical means (e.g., automated, semi-automated or manual) to obtain a trained beverage data and its related data.

Please refer to Figures 1, 2 and 3 again. The remote detection method of the beverage quality of the preferred embodiment of the present invention includes step S3: Then, for example, the trained beverage data is tested by appropriate technical means (such as: automatic method, semi-automatic method or manual method) to obtain a tested beverage data, and the tested beverage data is used to establish a beverage quality detection model 31.

Please refer to Figures 1, 2 and 3 again. The remote detection method of the beverage quality of the preferred embodiment of the present invention includes step S4: Then, for example, a beverage sample to be tested (not shown) is tested by the beverage quality detection model 31 using appropriate technical means (such as: automated method, semi-automated method or manual method) to provide at least one or more beverage quality detection results (or beverage taste detection results) to the output unit, so as to perform remote detection of beverage quality.

Please refer to Figures 1, 2 and 3 again. For example, the trained beverage data of the preferred embodiment of the present invention performs a beverage quality training operation (e.g., machine learning), a cross-validation operation and a testing operation.

FIG. 4 is a block diagram of a remote detection system for beverage quality of another preferred embodiment of the present invention, which corresponds to the remote detection system for beverage quality of FIG. 1. Referring to FIG. 4, for example, the remote detection system for beverage quality of another preferred embodiment of the present invention further includes a water quality monitoring database 13, and the input unit is appropriately connected to the water quality monitoring database 13.

Please refer to Figure 4 again. For example, another preferred embodiment of the present invention can also choose to use the input unit to appropriately connect to a water source water quality monitoring database, a river water quality monitoring database or other water quality monitoring database to obtain input of multiple water quality monitoring data.

Please refer to FIG. 4 again. For example, a beverage quality and water quality detection model 32 is established by combining a plurality of the tested beverage data and a plurality of the water quality monitoring data, and the plurality of the water quality monitoring data includes various soil water quality data, various limestone terrain water quality data or various mineral-containing trace element data.

Please refer to FIG. 4 again. For example, the input unit of another preferred embodiment of the present invention is appropriately connected to a world soil information service database (e.g., world soil information service, WoSIS), a map information database (e.g., Google Map system) or other databases (e.g., soil health database) to obtain input of a plurality of geographic data (geographical data).

Please refer to Figure 4 again. For example, several geographic data are selected from several coordinate data, and several coordinate data include several longitudes, several latitudes, several altitudes and any combination thereof (e.g., altitude meter data), and several geographic data can be selected to be input through the input unit.

FIG. 5 shows a block diagram of a quality-temperature data model used in a remote detection system for beverage quality of another preferred embodiment of the present invention, which corresponds to the remote detection system for beverage quality of FIG. 1. Please refer to FIGS. 1 and 5, for example, the remote detection system for beverage quality of another preferred embodiment of the present invention further includes a quality-temperature data model 4 connected to the beverage quality detection model 31.

Please refer to Figures 1 and 5 again. For example, the quality-temperature data model 4 includes a quality-low temperature data model 41, a quality-ultra-low temperature data model 42, a quality-high temperature data model 43 and a quality-ultra-high temperature data model 44, and the quality-low temperature data model 41, the quality-ultra-low temperature data model 42, the quality-high temperature data model 43 and the quality-ultra-high temperature data model 44 can be selected and appropriately assembled in the quality-temperature data model 4.

Please refer to Figures 1 and 5 again. For example, the quality-low temperature data model 41 includes a plurality of beverage physical data 11 and a plurality of beverage chemical data 12 in the range from below room temperature (25°C) to above a predetermined temperature (e.g., 5°C or other temperatures) corresponding to a first beverage (not shown), and forms a first data model.

Please refer to Figures 1 and 5 again. For example, the quality-ultra-low temperature data model 42 includes a plurality of beverage physical data 11 and a plurality of beverage chemical data 12 in the range from below a first predetermined temperature (e.g., 5°C or other temperature) to above a second predetermined temperature (e.g., -5°C or other temperature) corresponding to a second beverage (not shown), and forms a second data model.

Please refer to Figures 1 and 5 again. For example, the quality-high temperature data model 43 includes a plurality of beverage physical data 11 and a plurality of beverage chemical data 12 in the range from above normal temperature (25°C) to below a predetermined temperature (e.g., 50°C or other temperature) corresponding to a third beverage (not shown), and forms a third data model.

Please refer to Figures 1 and 5 again. For example, the quality-ultra-high temperature data model 44 includes a plurality of beverage physical data 11 and a plurality of beverage chemical data 12 in the range of a third predetermined temperature (e.g., 50°C or other temperature) to a fourth predetermined temperature (e.g., 100°C or other temperature) corresponding to a fourth beverage (not shown), and forms a second data model.

The above preferred embodiments are only examples to illustrate the present invention and its technical features. The technology of the embodiments can still be appropriately implemented in various substantially equivalent modifications and/or replacement methods; therefore, the scope of rights of the present invention shall be subject to the scope defined by the attached patent application scope. The copyright of this case is limited to the use of patent applications in the Republic of China.

11: Physical data of beverages

12: Beverage chemistry data

2: Computing unit

21: Mathematical Algorithms

31: Beverage quality testing model

Claims (10)

A remote detection system for beverage quality, comprising: a plurality of beverage physical data, which are inputted by a first detection unit through detection of at least one or more beverages, and the beverage is selected from a hot beverage, a cold beverage, a refrigerated beverage or any combination thereof; a plurality of beverage chemical data, which are inputted by a second detection unit through detection of the beverage; and a calculation unit having at least one mathematical algorithm, and using the plurality of beverage physical data and the plurality of beverage chemical data to calculate the quality of the beverage. Calculation and training are performed to obtain a trained beverage data; the trained beverage data is tested to obtain a tested beverage data, and a beverage quality detection model is established using the tested beverage data, and a beverage quality detection result is provided from the beverage quality detection model to perform a remote detection operation of the beverage quality, and a quality-temperature data model is connected to the beverage quality detection model to perform a remote detection operation of the temperature-related beverage quality. According to the remote detection system of beverage quality described in Item 1 of the patent application scope, an input unit is used to connect to a water source water quality monitoring database, a river water quality monitoring database or other water quality monitoring database. According to the remote detection system of beverage quality described in Item 1 of the patent application scope, the trained beverage data undergoes a cross-verification operation. According to the remote detection system of beverage quality described in Item 1 of the patent application scope, the mathematical algorithm includes several mathematical parameters or several statistical parameters. According to the remote detection system of beverage quality described in Item 4 of the patent application scope, the statistical parameter includes a mean value, a standard deviation, a maximum value, a minimum value and a correlation coefficient. A remote detection method for beverage quality, comprising: providing a plurality of beverage physical data and a plurality of beverage chemical data from at least one or more beverages, wherein the beverage is selected from a hot beverage, a cold beverage, a refrigerated beverage or any combination thereof; calculating and training the plurality of beverage physical data and the plurality of beverage chemical data using a mathematical algorithm to obtain a trained beverage data; and The method is to test a sample of a beverage to obtain a tested beverage data, and use the tested beverage data to establish a beverage quality detection model; and a sample of a beverage to be tested is tested by the beverage quality detection model to provide a beverage quality detection result, so as to perform a remote detection operation of the beverage quality, and connect a quality-temperature data model to the beverage quality detection model, so as to perform a remote detection operation of the temperature-related beverage quality. According to the remote detection method of beverage quality described in Item 6 of the patent application scope, several of the physical data of the beverage include several beverage temperatures, several beverage densities, several beverage optical refractive indices, several beverage salinities, several beverage viscosities or any combination thereof. According to the remote detection method of beverage quality described in Item 6 of the patent application, several chemical data of the beverage include several dissolved oxygen contents of the beverage, several beverage hardness, several pH values of the beverage, several conductivity of the beverage or any combination thereof. According to the remote detection method of beverage quality described in Item 6 of the patent application scope, the quality-temperature data model includes a quality-low temperature data model, a quality-ultra-low temperature data model, a quality-high temperature data model and a quality-ultra-high temperature data model. According to the method for remote detection of beverage quality described in Item 6 of the patent application scope, the mathematical algorithm is selected from a linear regression model, an artificial neural network model or a gene expression planning model.

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