KR102428731B1 - Apparatus for providing customized beef recommendation and cut guide service - Google Patents

Abstract

The present invention relates to an apparatus and a method for providing a service for recommending a customized beef product and guiding a trimming method. In the present invention, a grouping unit groups customers using customers' preference data, and a matching unit matches beef products by group to recommend a customized beef product to the customer. In the present invention, a calculation unit calculates a dissimilarity estimating a difference between an ordered product and the customer's preference, and a communication unit sends an alarm to provide a separate notice to the customer when the customer orders a product that is different from the customer's preference. In the present invention, the communication unit transmits the customer's group, product information, the dissimilarity, and a trimming method to a trimmer device such that a trimmer can prepare the product in consideration of the customer's preference, and differences among the trimmers are minimized by receiving the standardized trimming method. In addition, in the present invention, a digital twin unit and a calculation unit predict a pH of the ordered product by using a pH prediction model that predicts the pH of the ordered product, and pre-estimate a quality of beef and whether the beef corresponds to ideal meat. The service automatically recommends a beef product, notifies the customer when the customer orders a product different from the customer's preference, and allows the trimmer to trim the beef according to the customer's preference.

Description

Apparatus and method for providing customized beef product recommendation and handling method guidance service {APPARATUS FOR PROVIDING CUSTOMIZED BEEF RECOMMENDATION AND CUT GUIDE SERVICE}

The present invention relates to an apparatus and method for providing a customized beef product recommendation and grooming method guide service.

Hanwoo (Korean beef) is a cattle breed unique to Korea, and Korean beef meat is considered as an excellent ingredient among beef because of its excellent taste and texture. If you refer to the article on May 13, 2020, "Increased domestic consumption of Korean beef due to Corona crisis... Expansion of the Korean beef industry is an unsettling factor", it is confirmed that Korean beef meat consumption is on an increasing trend after Corona. Since the corona virus, domestic consumption centered on Korean beef has increased, and the demand for Korean beef meat is expected to continue to increase in the future due to a decrease in the supply of US beef and an increase in prices.

Now, at home, you can easily and inexpensively order high-quality Korean beef through online shopping malls such as 'Mom's Hanwoo' without going to a butcher's shop. However, when ordering Korean beef through an online shopping mall, the orderer must directly check the product information on the sales page to purchase the product without a recommendation from an expert.

Despite the increasing consumption of Korean beef meat, the majority of customers do not know which cuts they like. This is because beef is divided into many different parts, and each part has a different taste and main use. Accordingly, when ordering products from an online shopping mall, there is a problem in that the orderer may incorrectly order products that he does not prefer.

On the other hand, even if the beef is the same part, the texture may vary greatly depending on the groomer's handling. However, when purchasing a product through online shopping, it was not possible to inform the groomer of the orderer's preference. Therefore, there was a problem that the trimmer could not trim the beef in consideration of the preference of the orderer. In addition, there was a problem in that the existing beef trimming process was carried out only by the experience of the trimmer, and there was a large deviation between the trimmers.

Republic of Korea Patent Publication No. 10-2020-0008640 '1++ grade Korean beef assortment gift set'

A device that automatically recommends a beef product preferred by the orderer, can guide the orderer when ordering a product that is different from the product preferred by the orderer, and provides a service for the groomer to trim beef according to the preference of the orderer; We want to provide a way

A customized beef product recommendation and grooming method guide service providing apparatus according to the present invention includes: a grouping unit for receiving preference data including texture, marbling, heart, and tendon variables from the orderer and grouping the orderer; a matching unit for matching beef products by group using a predetermined rule or machine learning; and a communication unit for transmitting product information of a matching product that is a beef product matched by the matching unit to the orderer device.

The method for providing customized beef product recommendation and grooming method guidance service according to the present invention comprises the steps of (1) receiving preference data including texture, marbling, heart, and tendon variables from the orderer and grouping the orderers, (2) ) matching beef products by group using a predetermined rule or machine learning, and (3) transmitting product information of the matching product, which is the matched beef product, to the orderer device.

According to the present invention, the grouping unit groups the orderers using the orderer's preference data, and the matching unit matches the beef products for each group to recommend a customized beef product to the orderer.

According to the present invention, the calculation unit calculates the degree of dissimilarity for estimating the difference between the ordered product and the orderer's preference, and the communication unit transmits an alarm to receive a separate guide when the orderer orders a product different from the preference.

According to the present invention, the communication unit transmits the group of the orderer, product information, dissimilarity, and the grooming method to the groomer device so that the groomer can trim the product in consideration of the orderer's preference, and the standardized grooming method is guided to reduce the deviation between the groomers. can be minimized

And the present invention predicts the pH of the ordered product by using a pH prediction model that predicts the pH of the ordered product through the digital twin unit and the calculating unit, and it is possible to estimate in advance whether it corresponds to the quality of beef and abnormal meat.

Even if the effect is not directly described herein, it should be understood that the effect expected or expected by the description of the invention is described in the effect of the invention.

1 is a diagram illustrating a network configuration including an apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.
Figure 2 is a view showing the data transmission and reception of the customized beef product recommendation and grooming method guide service providing apparatus according to an embodiment of the present invention.
3 is a view showing the configuration of a customized beef product recommendation and grooming method guide service providing apparatus according to an embodiment of the present invention.
4 is a view showing the configuration of preference data in the apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.
5 and 6 are diagrams illustrating a configuration in which a matching unit matches beef products for each group in an apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.
7 is a diagram illustrating a sequence of calculating the degree of dissimilarity in the apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.
8 is a diagram illustrating a state in which the communication unit of the apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention transmits an alarm.
9 is a view showing data transmission and reception of the apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.
10 is a diagram illustrating a state of modeling a pH prediction model in the operation unit of the apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.
11 is a view showing a state in which data is transmitted and received in the apparatus for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention.

The present invention is not limited to the embodiments described in the description of the invention and can be implemented in various ways. Terms used in the description of the invention are for describing the embodiment, and are not intended to limit the invention. The term 'comprising' in the description is intended to designate that there is a configuration in which the described features are combined. Therefore, it should be understood that the existence or addition of one or more other features or combinations thereof is not excluded. Hereinafter, a detailed description of the configuration or function disclosed as clear content to those skilled in the art to which the present invention pertains will be omitted.

1 is a diagram illustrating a network configuration including a customized beef product recommendation and grooming method guide service providing apparatus 100 according to an embodiment of the present invention. Referring to FIG. 1 , the customized beef product recommendation and grooming method guide service is a service providing apparatus 100 transmits and receives data with an orderer device 200 and a groomer device 300 to recommend a customized beef product and a grooming method guide service. to provide. The service providing apparatus 100 provides a customized beef product recommendation service to the orderer device 200 and a grooming method guide service to the groomer device 300 . Here, the orderer device 200 is a device owned by the orderer who orders the beef product, and the groomer device 300 is a device owned by the groomer who trims the beef product.

2 is a view showing data transmission and reception of the customized beef product recommendation and grooming method guide service providing apparatus 100 according to an embodiment of the present invention. Referring to FIG. 2 , the service providing apparatus 100 receives preference data from an orderer, groups the orderers, and matches beef products. The service providing apparatus 100 groups the orderers and matches the beef products. Then, the product information is transmitted to the orderer device 200 , and the care information is transmitted to the caretaker device 300 . The service providing apparatus 100 analyzes the preference of the orderer, recommends a beef product, and provides a service of delivering related information to the orderer and the groomer. The orderer may be recommended a beef product according to the preference, and the groomer may trim the beef product in consideration of the preference of the orderer. Therefore, even if the orderer purchases beef through the online shopping mall, product recommendation and grooming service reflecting the preference of the orderer can be provided.

3 is a view showing the configuration of a customized beef product recommendation and grooming method guide service providing apparatus 100 according to an embodiment of the present invention. Referring to FIG. 3 , the service providing apparatus 100 includes a grouping unit 110 , a matching unit 120 , and a communication unit 130 . According to an embodiment, the service providing apparatus 100 further includes an operation unit 140 and a digital twin unit 150 .

The grouping unit 110 receives preference data including texture, marbling, heart, and tendon variables from the orderer and groups the orderer. According to an embodiment, the preference data may be input from the ordering device 200 and transmitted to the service providing apparatus 100 as shown in FIG. 2 , or may be input from the service providing apparatus 100 .

4 is a view showing the configuration of preference data in the customized beef product recommendation and grooming method guide service providing apparatus 100 according to an embodiment of the present invention. Referring to FIG. 4 , preference data includes texture, marbling, heart rate, and tendon variables. The variables of the preference data are variables for classifying the orderer's beef preference. The texture indicates the toughness of the beef, the marbling indicates the degree of marbling of the beef, the core indicates the size of the beef heart, and the tendon indicates the presence or absence of the beef tendon.

The grouping unit 110 may associate a variable value for each variable of the preference data with a digitized scale. Variables of preference data may be converted into categorical types for grouping. That is, even a continuous variable may be converted into a categorical type according to a section. In FIG. 4 , each variable has a variable value of 0 or 1, but may have more variable values according to an embodiment. As the number of variable values increases, more granular preferences can be classified.

If the preference data of the orderer is received and converted into a categorical type, orderers can be grouped according to the variable value of the preference data. The grouping unit 110 groups the orderers using the categorized preference data. The grouping unit 110 groups orderers into at least 16 or more groups according to preference data. Specifically, the grouping unit 110 may group the orderers according to the degree of texture, marbling, heart, and tendon. When the grouping unit 110 groups the orderers, it can be estimated that the orderers belonging to the same group have similar tastes.

5 and 6 are diagrams illustrating a configuration in which the matching unit 120 matches beef products for each group in the apparatus 100 for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention. The matching unit 120 may match beef products for each group using a predetermined rule or machine learning. That is, for each specific group, the preferred beef product of the group is matched. Beef products have unique characteristics for each part. Therefore, the beef product may also have a variable corresponding to the preference data, and the matching unit 120 may match the beef product preferred by a specific group using these variables.

The predetermined rule specifies a beef product preferred by a specific group according to a variable value of the preference data. The matching unit 120 may match a specific beef product for each group according to a predetermined rule. Alternatively, the matching unit 120 may learn the matching model by machine learning data including the orderer's preference data and the beef product preferred by the orderer as learning data. The matching unit 120 may match the beef product according to the preference data using the matching model. According to an embodiment, the matching unit 120 may use a predetermined rule when the number of data is less than a predetermined value, and may use a matching model when the number of data is greater than or equal to a predetermined value.

In the example of FIG. 5 , the matching unit 120 may match 'sirloin' to a group having a soft texture, deep marbling, a large heart, and tendons. And in the example of FIG. 6 , 'Aarong Sashimi' can be matched to a group that has a chewy texture, soft marbling, a large heart, and no tendons. According to an embodiment, one or more beef products may be matched for each group. Alternatively, different beef products may be matched according to the attributes of the beef product even with the same beef portion. For example, even with the same beef portion, the matching unit 120 may match beef products of different weights or origins.

The communication unit 130 transmits product information of a matching product that is a beef product matched by the matching unit 120 to the orderer device 200 . Here, the product information includes a name, weight, and country of origin for the matching product. Since the orderer device 200 may receive and output product information, the orderer may receive a customized recommendation service for beef products through preference data input.

The service providing apparatus 100 may match the beef product preferred by the orderer through the grouping unit 110 and the matching unit 120 . However, when the orderer orders a product that is different from the orderer's preference, it may be assumed that the orderer orders the product by mistake. That is, if the orderer orders a product different from the preference, it is determined that the order is a mistake.

7 is a diagram illustrating a sequence in which the calculating unit 140 calculates the degree of dissimilarity in the apparatus 100 for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention. The calculator 140 may determine whether the orderer orders a product having a difference from the orderer's preference. The calculating unit 140 calculates a difference between the order product ordered by the orderer and the orderer's preference. Referring to FIG. 7 , the calculating unit 140 calculates the dissimilarity by using the difference value between the ordered product and the preference data variable of the orderer. The dissimilarity is a value indicating the degree of difference between the ordered product and the orderer's preference data. Since the ordered product may have the same variable as the preference data as one of the beef products, it is possible to calculate a difference value for each variable between the ordered product and the preference data of the orderer.

The calculator 140 calculates the dissimilarity by using Equation 1 below.

Here, xo is a preference data variable of an ordered product, xp is an orderer's preference data variable, w is a weight for each variable, and n is the number of preference data variables. The calculating unit 140 calculates the dissimilarity by multiplying the difference value between the variables of the preference data such as texture, marbling, heart rate, and tendon by a weight assigned to each variable. Here, each weight may be initially set to 0.25, but may be variously set according to the characteristics of a variable or the accumulation of data.

Referring to FIG. 6 , it is assumed that the orderer ordered 'sirloin', which corresponds to the group having a tough texture, soft marbling, large heart, and no tendons. Then, the preference data of the ordered product 'Sirloin' has variable values with soft texture, deep marbling, large heart, and tendons. Assuming each weight is 0.25, the dissimilarity is 0.75 (=|1-0|*0.25+|1-0|*0.25+|1-1|*0.25 because there are differences in texture, marbling, and tendons) +|1-0|*0.25).

8 is a diagram illustrating a state in which the communication unit 130 of the apparatus 100 for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention transmits an alarm. The communication unit 130 transmits an alarm to the ordering device 200 when the degree of dissimilarity exceeds a predetermined value. When the orderer orders a product different from the preference, the orderer is informed in advance that the product is ordered different from the preference. That is, when the degree of dissimilarity exceeds a predetermined value, the service providing apparatus 100 determines that the order of the orderer is a mistake and informs it in advance. Here, the predetermined value serves as a criterion for determining that the order is a mistake of the orderer. The communication unit 130 transmits an alarm to the orderer device 200 to assist the orderer to check the ordered product once again and to order a product that meets his/her preference. If the dissimilarity is less than or equal to a predetermined value, the service providing apparatus 100 may process the product order without sending a notification. Here, the predetermined value may be variously set according to service operation.

If the predetermined value is 0.7, since the dissimilarity is calculated as 0.75 in the example of FIG. 8 , the communication unit 130 transmits an alarm to the ordering device 200 . In this case, the communication unit 130 may transmit the product information of the matching product together when transmitting the alarm. As shown in FIG. 8 , the orderer device 200 may display information of a matching product together with an alarm. Accordingly, the orderer can more easily purchase products that meet their preferences.

9 is a view showing data transmission and reception of the customized beef product recommendation and grooming method guide service providing apparatus 100 according to an embodiment of the present invention. Referring to FIG. 9 , the communication unit 130 includes a group of the orderer, product information of the ordered product and matching product, dissimilarity degree, and a method of grooming the ordered product to the groomer's device 300 for grooming the beef product. Send grooming information. When the orderer device 200 orders a beef product, the service providing apparatus 100 groups the orderer and matches the beef product. Then, the service providing apparatus 100 may specify the product information of the ordered product and the matching product, and may specify the cleaning method of the ordered product. When the communication unit 130 transmits the orderer's group, product information, dissimilarity, and grooming information to the groomer device 300 , the groomer device 300 may output the received data. The trimming information may include a specific method for trimming the meat. Accordingly, even if the groomer does not know how to trim the beef, he/she may trim the beef with reference to the trimming information output to the trimmer device 300 . Therefore, it is possible to minimize the deviation between groomers and to equalize the quality of products through standardized grooming methods.

Also, the groomer may trim the product in consideration of the orderer's preference even for the same product with reference to the orderer's group, product information, and maintenance information. Specifically, the groomer may trim the product based on a variable having a high weight in consideration of the weight for each variable of dissimilarity. For example, even if it is the same 'loin' part, the more you go toward the head, the smaller the heart will be, and the deeper the marbling. Conversely, the more you go towards the tail, the bigger the heart and less marbling. If the weight of the marbling is higher, the groomer can trim the sirloin on the side of the head with the dark marbling. Then, even if it is the same part, the trimmer may trim the product in consideration of the orderer's preference, and may provide the orderer's more preferred product.

The digital twin unit 150 includes virtual simulation information about the ordered product. Here, the virtual simulation information includes breed, growth level, sex, intramuscular fat, flesh color, fat color, texture, maturity, pH, and maturation time. The digital twin unit 150 digitally implements the same environment as the livestock house, and simulates the growth process of an actual cow therein. In other words, according to the environment in which the actual cattle grow in the livestock house, the environment in which the digital cows grow in the digital barn is implemented in the same way. Then, it can be estimated that the real cow has the attribute value of the data of the digital cow. You can check the quality of the beef until you calculate the grade, but there is a problem in that it is difficult to accurately check after the grade is calculated. Therefore, the digital twin unit 150 simulates a cow identical to an actual cow in a digital environment, and provides data that can determine how the quality of beef changes even after slaughter and distribution processes.

10 is a diagram illustrating a state of modeling a pH prediction model in the operation unit 140 of the apparatus 100 for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention. The calculation unit 140 uses a pH prediction model in which variety, growth rate, gender, intramuscular fat, meat color, fat color, texture, maturity, and aging period are input variables among virtual simulation information and pH is an output variable. Calculate the predicted pH of When the input variable is a categorical variable, a variable value can be used as the input value. pH is a variable that greatly affects the water holding capacity of meat. Water holding capacity refers to the ability of meat to retain moisture. Therefore, the higher the water holding capacity, the better the taste of the meat. In addition, after slaughter, glycogen is decomposed by glycolysis to produce lactic acid, and the pH is lowered. The final pH after slaughter is in the normal range of 5.4 to 5.7, and if it is out of this range, it can be called abnormal meat. The main reason for deviating from this range is the stress just before slaughter. Thus, pH is a measure to determine how stressed it was just before slaughter. As such, pH greatly affects the quality of meat, so when the pH of meat changes, the taste of meat also changes.

Intramuscular fat, meat color, fat color, texture, and maturity are variables used in grading Korean beef. However, in order to estimate the pH more accurately, the breed, growth rate, sex, and aging period may be further considered in addition to the variables used for grading Korean beef. Referring to FIG. 10 , the calculator 140 generates a pH prediction model to estimate pH, and the pH prediction model may be generated by machine learning. The pH prediction model is a model in which variety, growth rate, sex, intramuscular fat, flesh color, fat color, texture, maturity, and maturation period are input variables, and pH is an output variable. Since the virtual simulation information includes variety, growth rate, sex, intramuscular fat, flesh color, fat color, texture, maturity, pH, and maturation period, both input and output variables are included. Therefore, the virtual simulation information can be used as training data for the pH prediction model. The pH prediction model may learn the correlation between the virtual simulation information and output the predicted pH. As the amount of training data increases, the accuracy of the predicted pH output from the predicted pH model increases. In the example of FIG. 10 , the pH prediction model is a neural network, but various machine learning models may be applied in addition to the neural network.

11 is a diagram illustrating a state in which data is transmitted and received by the apparatus 100 for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention. Referring to FIG. 11 , the communication unit 130 transmits the predicted pH to the groomer device 300 . Since the predicted pH calculated by the calculator 140 is an important variable for estimating the quality of meat, it is transmitted to the trimmer device 300 so that the trimmer can check it. The trimmer can estimate the quality of the beef being trimmed from the predicted pH. If the predicted pH falls outside the normal range, the beef may be discarded or the condition of the beef may be more precisely inspected. In this way, it is possible to prevent the provision of meat corresponding to abnormal meat to consumers.

The apparatus 100 for providing a customized beef product recommendation and grooming method guide service according to an embodiment of the present invention may provide a sophisticated recommendation service according to preference to an orderer even when an order is placed through an online shopping mall. In addition, when the orderer orders a product different from the orderer's preference, it is possible to check once again whether an order is made by mistake, and to easily order a product suitable for the orderer's preference. The groomer can trim the product in consideration of the orderer's preference, and can minimize the deviation between groomers by being guided by a standardized cleaning method. In addition, the groomer can predict in advance whether the quality of beef and whether the beef corresponds to abnormal meat through the predicted pH. Accordingly, the orderer may be recommended a customized beef product, and the groomer may provide a higher quality product to the orderer by customizing the beef.

According to an embodiment, a function performed in each configuration of the service providing apparatus 100 may be converted into each step, and may be implemented as a service providing method including these steps. In the method of providing a customized beef product recommendation and grooming method guide service according to this embodiment, the service providing device 100 (1) receives preference data including texture, marbling, heart, and tendon variables from the orderer and groups the orderers Steps, (2) matching the beef products by group using a predetermined rule or machine learning, and (3) transmitting product information of the matching products, which are the matched beef products, to the orderer device. Since the description of each step overlaps with the description of the configuration of the service providing apparatus 100 described above, a detailed description thereof will be omitted.

The contents described in the description of the invention are merely examples, and the present invention may be variously modified and practiced by those skilled in the art. Therefore, the protection scope of the present invention is not limited to the description and expression of the described embodiments.

100: service providing device
110: grouping unit
120: matching unit
130: communication department
140: arithmetic unit
150: digital twin unit
200: orderer device
300: groomer device

Claims (11)

a grouping unit receiving preference data including texture, marbling, heart, and tendon variables from the orderer and grouping the orderer;
a matching unit for matching beef products by group using a predetermined rule or machine learning;
a communication unit for transmitting product information of a matching product that is a beef product matched by the matching unit to an orderer device;
a calculating unit for calculating a difference between the order product ordered by the orderer and the preference of the orderer; and
and a digital twin unit including virtual simulation information for the ordered product,
The grouping unit,
Corresponding the variable value for each variable of the preference data with a numerical scale,
The grouping unit,
Group the orderer into at least 16 or more groups according to the preference data,
The calculation unit,
Calculate the dissimilarity by using the difference value between the ordered product and the preference data variable of the orderer,
The communication unit,
When the dissimilarity exceeds a predetermined value, an alarm is sent to the orderer device;
The communication unit,
Transmitting grooming information including the group of the orderer, product information of the ordered product and the matching product, the degree of dissimilarity, and the grooming method of the ordered product to the groomer's device for grooming the beef product,
The virtual simulation information is
including variety, growth level, sex, intramuscular fat, flesh color, fat color, texture, maturity, pH, and maturation period;
The calculation unit,
The order is made using a pH prediction model in which variety, growth rate, gender, intramuscular fat, meat color, fat color, texture, maturity, and aging period are input variables among the virtual simulation information and the pH of the ordered product is an output variable. Calculate the predicted pH of the product,
The communication unit,
A customized beef product recommendation and grooming method guide service providing apparatus, characterized in that it transmits the predicted pH to the trimmer device. delete delete delete delete The method according to claim 1,
The calculation unit,
A customized beef product recommendation and grooming method guide service providing apparatus, characterized in that the dissimilarity is calculated using the following Equation 1.
[Equation 1]

Here, xo is a preference data variable of the ordered product, xp is a preference data variable of the orderer, w is a weight for each variable, and n is the number of preference data variables. delete delete delete The service providing device is:
(1) receiving preference data including texture, marbling, heart, and tendon variables from the orderer and grouping the orderer;
(2) matching beef products by group using predetermined rules or machine learning;
(3) transmitting product information of a matching product that is a matched beef product to an orderer device;
(4) calculating a difference between the order product ordered by the orderer and the orderer's preference; and
(5) acquiring virtual simulation information for the ordered product,
The step (1) is,
Corresponding the variable value for each variable of the preference data with a numerical scale,
The step (1) is,
Group the orderer into at least 16 or more groups according to the preference data,
The step (4) is,
Calculate the dissimilarity by using the difference value between the ordered product and the preference data variable of the orderer,
The step (3) is,
When the dissimilarity exceeds a predetermined value, an alarm is sent to the orderer device;
The step (3) is,
Transmitting grooming information including the group of the orderer, product information of the ordered product and the matching product, the degree of dissimilarity, and the grooming method of the ordered product to the groomer's device for grooming the beef product,
The virtual simulation information is
including variety, growth level, sex, intramuscular fat, flesh color, fat color, texture, maturity, pH, and maturation period;
The step (4) is,
The order is made using a pH prediction model in which variety, growth rate, gender, intramuscular fat, meat color, fat color, texture, maturity, and aging period are input variables among the virtual simulation information and the pH of the ordered product is an output variable. Calculate the predicted pH of the product,
The step (3) is,
A method of providing a customized beef product recommendation and grooming method guide service, characterized in that it transmits the predicted pH to the trimmer device. 11. The method of claim 10,
The step (4) is,
A method of providing a customized beef product recommendation and grooming method guide service, characterized in that the dissimilarity is calculated using the following Equation 1.
[Equation 1]

Here, xo is a preference data variable of the ordered product, xp is a preference data variable of the orderer, w is a weight for each variable, and n is the number of preference data variables.

Images