KR102169661B1 - System and method for recommending food menus based on disease gene backtracking and cooking the food menus - Google Patents

Abstract

The present invention relates to a method for allowing a central server to perform disease gene backtracking to provide a food recommendation and cooking link service. According to the present invention, the method comprises the following steps of, in a central server: generating and transmitting a questionnaire formed of at least one question to a user and receiving internal and external information of the user, which is input as an answer to the questionnaire, from a user terminal; acquiring user information including disease gene information of the user based on at least one from the internal and external information and acquiring nutrient information related to the user based on the disease gene information; recommending a menu formed on at least one food or foods for a predetermined period to the user based on at least one from the user information and the nutrient information; analyzing characteristic information including a cooking style for each cooker based on available food information registered in the central server through a cooker terminal by the cooker and recommending one or more cookers to the user in accordance with a matching ratio of the user information and the nutrition information of the user with the characteristic information for each cooker; and when the user selects the cooker, transmitting the user information and the nutrition information of the user to the corresponding to cooker. The internal information includes at least one from the gender, age, weight, goal, family history, food allergies, and current diseases of the user. The external information includes at least one from residence information, job information, income level information, and local weather information of the user.

Description

Food recommendation and food production connection service method and system through disease gene backtracking {SYSTEM AND METHOD FOR RECOMMENDING FOOD MENUS BASED ON DISEASE GENE BACKTRACKING AND COOKING THE FOOD MENUS}

The present invention relates to a food recommendation and food production connection service method and system through disease gene backtracking, and more specifically, based on internal and external information of a user acquired through a user questionnaire, not a simple recommendation of healthy food, The present invention relates to a method and system for food recommendation and food production linkage service through a user's disease gene backtracking that links even food production services through recommended and recommended chefs.

Recently, as modern people's awareness and necessity for health management have emerged, interest in diet management is increasing. Incorrect dietary management can lead to various diseases due to excessive intake of nutrients or deficiency of nutrients. For example, obesity caused by overeating and lack of exercise can lead to various adult diseases such as diabetes and high blood pressure, and certain nutrients in pregnant women Since the deficiency can cause serious illness not only to the pregnant woman herself, but also to the fetus, the importance of health management through diet is becoming increasingly important.

Accordingly, for health management by diet, various methods or systems for recommending diet have been proposed. However, the existing method and system for recommending a diet calculates a simple suitability for the user's current intake, and a simple recommendation function is provided according to the purpose. For example, in the case of a weight loss diet, the diet was composed of fragmentary matching to achieve the purpose, such as how many Kcals were consumed, whether nutrients were evenly distributed, and whether it was composed mainly of protein.

In addition, in recent years, with the development of big data technology, it has become possible to easily access various foods or foods for health through big data analysis using various media, but such information is only general information and is tailored to each user. In that it does not correspond to information, there is inevitably a limit to providing food recommendations and diet management services for each user.

Accordingly, as the purpose of diet is different for each user, the need to reflect disease history and, in particular, the need for a diet that reflects the genetic background gradually increases, a service that provides a customized diet through the feedback of experts who manage the diet professionally Although it is emerging, a service model that can be widely distributed is required because the benefits are given only to a few users due to the high cost and time burden of being an expert.

In addition, even if a customized diet is provided for each user, the nature of the food or diet can be changed by the recipe of the food maker, so that the diet that reflects the user's genetic background is well understood, and the food suitable for the diet is selected. In production, a service model that matches or recommends a chef with the most suitable production style to a user is required.

The present invention is to solve the above problems, and if an individual's health management through food has been inaccurate according to the standard nutritional standard, internal and external factors affecting human health are determined according to the personalization trend. The purpose is to provide a method and system for food recommendation and food production connection service through backtracking of disease genes for more precise and future-oriented health management by developing and establishing individual nutritional standards by profiling.

According to an embodiment for realizing the object of the present invention, a method for providing food recommendation and food production service by tracking a user's disease gene back by a central server is a questionnaire consisting of at least one question in the central server. Is generated and transmitted to the user, and the questionnaire content including internal information and external information of the user input as an answer to the questionnaire is received through the user terminal, based on at least one of the internal information and the external information, Acquiring user information including disease gene information, and obtaining nutrient information associated with a user based on the disease gene information, based on at least one of the user information and the nutrient information, providing a user with at least one food or Recommending a meal consisting of foods for a certain period of time, analyzing characteristic information including cooking styles for each food maker based on the productable food information registered in the central server by the food maker through the food maker terminal, and the user's user Recommending at least one food maker to a user according to information and a matching rate of the nutrient information and characteristic information for each food production, and when a food maker is selected by the user, the user information and the nutrient And transmitting information, wherein the internal information includes at least one of the user's gender, age, weight, goal, family history, allergic food, and current disease, and the external information is information on the user's residence area , Occupation, income level, and local climate information.

In one embodiment of the present invention, generating the questionnaire generates a questionnaire consisting of questions common to the user who first accesses the central server, and provides the user's status information currently recognized according to the times the user has accessed. A questionnaire composed of personalized questions may be generated based on the included user information.

In one embodiment of the present invention, the central server may update disease gene information detected for each user whenever an answer to a questionnaire for each episode is registered by a user, and update the user information and the nutrient information accordingly. have.

In one embodiment of the present invention, in recommending the diet, the nutrient is configured so that the rate constant of the delay effect for each nutrient is calculated based on the nutrient information of the user to change the direction of the diet from fast to slow. And schedule food constituting a diet that can be produced with food materials based on the scheduled nutrient composition according to the user information, and each time the user information and the nutrient information are updated, the composition of nutrients and thus You can update the scheduling of food according to your needs.

In an embodiment of the present invention, the nutrient information includes information on required nutrients and avoided nutrients according to the detected disease gene, nutrient weight information according to symptoms in questionnaire content, and reference nutrient information for the purpose and target value of the user previously stored. It may include at least one.

In an embodiment of the present invention, the central server may be based on public data of an external server in obtaining at least one of the user information and nutrient information of the user.

In one embodiment of the present invention, in the step of recommending the food maker, it is recommended from among food makers registered in the central server that food matching the food can be produced based on at least one food information recommended to the user. can do.

In one embodiment of the present invention, in the step of recommending the food maker, food maker list information may be provided in an order of high matching rate.

In one embodiment of the present invention, when a food maker is selected by a user, recipe information of food that can be produced with food materials based on the nutrient information is provided to the food maker along with the user information and the nutrient information of the user. Can be sent.

A system for providing food recommendation and food production service by tracking back a user's disease gene according to an embodiment for realizing the object of the present invention described above, communicates with a central server through a network, and is provided from the central server. As an answer to a questionnaire consisting of at least one question, a user terminal that transmits the content of the questionnaire including the user's internal and external information to the central server, communicates with the central server through the network, and allows food makers to produce themselves. A food maker terminal that inputs food information and transmits it to the central server, and a central server that communicates with the user terminal and the food maker terminal through a network, wherein the central server includes the internal information and external information of the received questionnaire content. Based on at least one of the information, a questionnaire content analysis unit that obtains user information including disease gene information of the user, a nutrient information management unit that obtains nutrient information associated with a user based on the disease gene information, the user information and the A food/food recommendation unit that recommends a meal consisting of at least one or more foods or foods for a certain period of time to a user based on at least one of the nutrient information, and productable food information registered in the central server by the food maker through the food maker terminal A maker characteristic analysis unit for analyzing characteristic information including cooking styles for each food maker based on, and at least one food maker to the user according to the matching rate of the user information and the nutrient information of the user and the food production characteristic information. It includes a recommended maker recommendation unit, and when a food maker is selected by the user, the user information and the nutrient information of the user are transmitted to the food maker, and the internal information includes the user's gender, age, weight, goal, family history, Includes at least one of the presence of allergic food and the current disease, and the external information includes at least one of information on the user's residence area, occupation, income level, and local climate. All.

According to the present invention, by applying different genetic and environmental characteristics for each person, users can eat food suitable for themselves and manage their health more precisely, and the cooking style of food makers linked with user-specific recommendation data Product production efficiency and productivity for managing restaurants can be improved through the automatic recommendation system for producing prototypes. In addition, the creation of a new menu can be expected through the method of presenting the product by the consumer rather than the method provided by the conventional food maker. Accordingly, the time, cost and waste of raw materials spent by the producer for product development are significantly reduced. In addition, it can be expected to reduce the closing rate and increase the profit rate by strengthening the bonding between local restaurants and local residents.

1 is a configuration diagram illustrating a food recommendation and production linkage system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating the configuration of a central server of the food recommendation and production linkage system of FIG. 1.
3 is a block diagram illustrating a customer management unit of FIG. 2.
4 is a block diagram illustrating a questionnaire management unit of FIG. 2.
5 is a block diagram illustrating the food/meal recommendation unit of FIG. 2.
6 is a flowchart illustrating a method for providing a food recommendation and food production connection service of FIG. 1.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in detail so that those of ordinary skill in the art can easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In addition, in adding reference numerals to elements of each drawing, the same reference numerals are assigned to the same elements even though they are displayed on different drawings. In addition, in the present specification, when a component is "connected" or "connected" to another component, this is not only a case where both components are "directly" connected, but other components are interposed therebetween. It includes a case of being connected by doing so, and also includes a case of being connected "physically" as well as a case of being "functionally or communicatively" connected. In addition, when a part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

1 is a configuration diagram illustrating a food recommendation and production linkage system according to an embodiment of the present invention. 2 is a block diagram illustrating the configuration of a central server of the food recommendation and food production linkage system of FIG. 1. 3 is a block diagram illustrating a customer management unit of FIG. 2. 4 is a block diagram illustrating a questionnaire management unit of FIG. 2. 5 is a block diagram illustrating the food/meal recommendation unit of FIG. 2.

1 to 5, the food recommendation and production linkage system 1000 of the present invention is provided with a questionnaire content for recommending a diet consisting of food for each user or food for a certain period from a user terminal, based on this. The user's disease gene is traced back and defined, and the food or diet is recommended according to the nutrients and cooking style according to it, and the food or food constituting the diet is produced based on the user location information, nutrients and cooking style. When a food producer suitable for the user is recommended to the user, and the food is provided after payment is made by the user, information on the food consumed by each user is stored and managed, and then, in recommending a meal consisting of food and food for a certain period of time. Organized to refer to information.

The food recommendation and production connection system 1000 inputs the contents of a questionnaire for recommending food or diet for each user input through the user terminal 100, the food maker terminal 200, and the user terminal 100, and the corresponding questionnaire It recommends food or diet for each user from the contents, and is suitable for the production of food and diet of the user based on food that can be produced by the food maker input through the food maker terminal 200 and cooking style information through information on the cooking ingredients of the food. It includes a central server 300 for recommending food makers and an external server 400 for receiving public data that is a basis for recommending a meal from outside the central server 300.

The user terminal 100 is a computer or portable terminal owned by a person (hereinafter referred to as a'user') who wants to receive food or meals recommended to them through the food recommendation and production linkage system 1000. , A survey provided by the central server 300 after a user communicates with the central server 300 through the network 10 in the form of a web, an application, or a web app to sign up for membership When the content is input, a food or diet is recommended based on the questionnaire content, and a food maker suitable for producing the food or diet is recommended, it is configured to order the food or diet from a food maker who wants through payment. The content of the questionnaire is to acquire basic data for recommending food or diet suitable for the user, and is configured in the form of a questionnaire, which will be described later.

The food maker terminal 200 is a person who can provide food, such as a general person, a chef, a person who operates a restaurant, who wants to produce and provide food or meals recommended for each user through the food recommendation and production connection system 1000 (Hereinafter referred to as'food maker'.) A computer or portable terminal owned by the food maker, the central server 300 through the network 10 in the form of a web, an application, or a web app. ) By connecting to a new registration or logging in, registering food information that you can provide, for example, menu and price information for each menu, and information on the food ingredients used for each menu and the country of origin and cooking method for each food ingredient Is registered. In addition, when an order for a specific menu is made through payment from the user, the user's recommended food or diet information, the food recommendation and production linkage system 1000 analyzed by the user's disease gene information and recommended nutrient information are received. As a result, the food maker is configured to produce the user's corresponding food based on the corresponding information.

In addition, the food maker is the user's order information entered along with the food order, for example, when a delivery request is made, the food is delivered to a designated place, or when a visit is reserved, the restaurant or user in operation is shared. Make sure food can be served in a specific location. On the other hand, when the food recommendation and production linkage system 1000 also provides a separate delivery service, when the food production is completed, the food maker notifies that food production is completed through the food maker terminal 200, or orders food. When this is input, the time required for food production is input through the food maker terminal 200, so that the delivery person can deliver before or after the food production is completed, or the user can predict the delivery time. I can.

Meanwhile, the computer includes, for example, a desktop equipped with a web browser, a laptop, a tablet PC, and the like, and the portable terminal is, for example, portable and As a wireless communication device with guaranteed mobility, smartphone, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant) ), International Mobile Telecommunication (IMT)-2000, Code Division Multiple Access (CDMA)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminals, etc. It may include a wireless communication device based.

In addition, a network 10 connecting the user terminal 100 and the food maker terminal 200 and the central generating server 300 may include a local area network (LAN) and a wide area network (WAN). ), Value Added Network (VAN), Personal Area Network (PAN), mobile radio communication network, Wireless Broadband Internet (Wibro), Mobile WiMAX, High Speed Downlink Packet Access (HSDPA) ) Or any kind of wired/wireless network, such as a satellite communication network.

The central server 300 is configured to communicate with the user terminal 100 and the food maker terminal 200 through the network 10, and to recommend food or diet for each user through the user terminal 100. When the questionnaire is provided, the user's disease gene is traced back and defined, and the food or diet according to the nutrient and cooking style is recommended, and the location information requested by the user for food production, required nutrients and cooking Based on at least one of the styles, when a food maker suitable for producing the food or diet is recommended to the user, and payment is made by the user and the food is provided, information on the food consumed for each user is stored and managed. And it is configured to refer to the information in the diet recommendation.

Hereinafter, the central server 300 according to the present embodiment will be described in detail with reference to FIGS. 2 to 5.

2 to 5, the central server 300 includes a customer management unit 310, a questionnaire management unit 320, a nutrient information management unit 330, a food/meal recommendation unit 340, and a food information management unit 350. , A manufacturer characteristic analysis unit 360, a manufacturer recommendation unit 370, a payment unit 380, and a purchase data management unit 390.

The customer management unit 310 registers and manages at least one user and at least one food producer who intends to produce and provide food for the user in the food recommendation and production connection system 1000 as a customer. For example, the customer management unit 310 may include a user management module 311 that stores and manages user registration information, and a food maker management module 313 that stores and manages food maker registration information. .

The user management module 311 stores and manages user information including basic information such as the user's name, contact information, and e-mail address input from the user terminal 100, and when a user signs up for a member, each user It assigns an identification code, matches the entered user information, and stores and manages it in the customer DB.

In addition to the basic information, the user information includes information input by the user according to the questionnaire content provided by the questionnaire management unit 320 to be described later, and disease gene information of the user that is traced back through the questionnaire content. For example, the user information includes internal information and external information for each user according to the content of a survey. This will be described later.

In addition, the user information includes purchase data information for each user. For example, when a user orders a food recommended by the food recommendation and production linkage system 1000 or a step-by-step food constituting a meal through payment, the user's purchase data is based on the assumption that the user has consumed the food. It can be stored and managed by matching with information on food materials or nutrients, and the food producer who produced the food. For example, the purchase data may be managed in a purchase data DB through a purchase data management unit 390 to be described later, and purchase data for each user may be matched with a user identification code and stored and managed.

Accordingly, in recommending food or diet to the user, it is possible to avoid recommending the same food as the food that the user has already consumed, and food or similar food that can satisfy insufficient nutrients based on food information that the user has already consumed. You can recommend foods that are related to nutrients. Meanwhile, the recommendation of the same food may be set to be repeatable based on a predetermined period. For example, if the predetermined period is 3 days, information on food consumed by the user is referred to, and if 3 days have passed, the same food can be recommended. The predetermined period may be set by the food recommendation and production connection system 1000 or by a user through the user terminal 100.

In addition, the user information includes information on the purpose of diet management for each user, a target value for a weight to be achieved, and a set period. Accordingly, in recommending food or diet to the user, the food or diet may be recommended based on the user's purpose or target value.

In addition, the user management module 311 includes information on a service related to a user among services other than the food recommendation and production connection service provided by the central server 300 or an external server 400 connected to the central server 300. ) Can be stored and managed by matching with the user identification code. For example, a user's hospital record, medical examination data, and health-related comprehensive examination record may be stored.

The food maker management module 313 includes basic information of the food maker such as the food maker's name or nickname input from the food maker terminal 200, contact information, and operating company name, and foods that the food maker can produce and cooking ingredients for the food. It is configured to register and manage food maker information such as cooking style information through information. Specifically, when a food maker registers as a member, a food maker identification code is assigned to each food maker, matches the input food maker information, and stores and manages it in a customer DB. The food maker information includes characteristic information, such as a cooking style of the food maker, analyzed by the maker characteristic analysis unit 360 to be described later, based on information input by the food maker. This will be described later.

In addition, the food maker management module 313 stores and manages list information of users who order food for each food maker, and the food maker accesses the central server 300 to expose information related to food production among the user information that has ordered. Make available information accessible.

In addition, the food maker management module 313 stores and manages food list information that can be produced for each food maker that matches the food-specific data managed by the food information management unit 350 to be described later.

In addition, in an embodiment of the present invention, the customer management unit 310 has been described as an example of storing and managing a user and a food maker in a customer DB, but is not limited thereto, and each may be managed through a separate DB. In addition, the present embodiment has been described as an example in which information is managed in different modules by dividing a user and a food maker, but is not limited thereto. For example, the customer management unit 310 may register, integrate, and manage customers without distinction. In this case, the customer management unit 310, when the user and the food maker access the central server 300 and log in, check whether the connected person is a customer, and when confirming that the user is a customer, the connected person is a user. Alternatively, depending on whether or not the food maker is a food maker, the interface displayed on the user terminal 100 and the food maker terminal 200 may be switched to receive a service corresponding thereto.

The questionnaire management unit 320 is configured to manage questionnaire contents for extracting health-related data including a user's disease gene in order to recommend food or diet for each user. For example, the questionnaire management unit 320 may store and manage questionnaire contents on the questionnaire DB 30. The questionnaire content may be configured in the form of an electronic questionnaire composed of a plurality of questions.

The questionnaire contents of the electronic questionnaire include, for example, fat intake, dietary fiber intake, salt intake, snacks and alcohol intake, lifestyle questions, walking and running, stress, blood pressure, weight, sleep, heart rate and blood sugar, etc. It can be composed of questions to grasp the same health status information. For example, the questionnaire content is for obtaining user information, and the user information includes internal information and external information for each user.

The internal information may include at least one of the user's gender, age, weight, goal, family history, allergic food, and current disease. The currently suffering disease may be a method of directly inputting a disease name, or alternatively, the disease may be traced back through symptoms. For example, the question about symptoms is "Do you have a full stomach after eating?", "Do you often fart?", "Do you have frequent trimmings?" It can be done in a yes or no way to questions about various symptoms, such as.

The external information may include information on the user's residence area, occupation (industry), income level, and local climate information. For example, the residential area information is for extracting information on neighboring facilities, such as information on exposure of harmful substances in the radius of the user, or whether high or low areas, and transportation convenience, and the job information is, for example, a semiconductor facility or To prepare for genetic diseases that may cause statistical problems in occupations that are exposed to radiation frequently, such as nuclear power plants, or to prepare for diseases that may be statistically problematic for occupations that are frequently stressed such as professionals. It is to obtain information for In addition, the income level is to statistically determine the food information the user has consumed so far and to consider the price of the food to be provided in the future, and the local climate is to determine the environment of high temperature, low temperature, humid or dry environment. Environment information may be obtained from map data information based on the residential area information of.

The questionnaire management unit 320 includes a questionnaire construction unit 321 and a questionnaire content analysis unit 323. The questionnaire configuration unit 321 configures a questionnaire composed of a plurality of questions for each user. For example, the questionnaire configuration unit 321 provides a questionnaire containing common questions to a user who first accesses the central server 300 through membership registration, and then identifies the current according to the number of times the user has accessed. A questionnaire consisting of personalized questions is provided on the basis of user information including status information of the user being used. For example, a questionnaire composed of questions tailored to each user's characteristics, such as user-specific information identified from the content of the questionnaire, e.g., diet, disease gene, current disease, etc. . For example, the questions are composed of questions for checking the degree of improvement of a disease before and after eating food for a user using the food recommendation and production linkage system 1000, or changes in the body, for example, It can consist of questions that can be checked for changes in weight and vision. For example, in the first questionnaire, if a user registered yes in the question of "Is your belly full after eating?", then the questionnaire will be "Did you feel bloated after eating?" Alternatively, the question "how is the degree of relaxation?" can be constructed and provided to the user.

The questionnaire content analysis unit 323 is configured to analyze characteristics of each user based on the questionnaire content input from the user. For example, the questionnaire content analysis unit 323 may be configured to backtrack a user's disease gene as an example of user information based on the questionnaire content. The disease genes can be classified into genotypes according to categories, for example, as a hair health genotype, such as the possibility of hair loss and the thickness of the hair, as a skin health genotype, vitamin C metabolism, caffeine metabolism, skin elasticity, etc., as a body metabolic genotype, antioxidant , Bone, blood vessel, eye health, and micronutrient absorption and metabolism.

Specifically, the questionnaire content analysis unit 323 is based on the content of the questionnaire, according to the single base polymorphism of the detailed genotype belonging to each genotype, the good stage (1st stage), the management stage (2nd stage) and the risky stage (3rd stage) If any one of each gene item belongs to the risk group (i.e., if it belongs to the risk level (step 3)), the gene item is defined as a dangerous state, and the disease gene for each user is determined. . In addition, the questionnaire content analysis unit 323 may refer to public data from the external server 400 updated in real time when determining disease genes for each user from the question content. For example, a disease gene may be tracked from the user's symptoms combined in the question content, or the disease gene may be matched with a matching probability of the user's symptoms by referring to public data of symptoms for each disease gene.

Meanwhile, the questionnaire content analysis unit 323 is configured to allow the user to update disease gene information for each user whenever an answer to the user-specific questionnaire configured in the questionnaire configuration unit 321 is registered. For example, based on the content of a questionnaire initially input by the user, one or more suspicious disease genes are tracked, and then, after using the food recommendation and production linkage system 1000, alleviation of symptoms in the user's questionnaire , A specific disease gene can be identified among one or more suspected disease genes according to the change information of the body. For example, if the symptoms do not alleviate even though the user consumes nutrients for health according to the suspected disease gene, or if the symptoms are rather severe, the suspected disease gene may be excluded.

In addition, the questionnaire content analysis unit 323 additionally sends a part of the user's body tissue to the genetic testing laboratory with the consent of the user from outside the central server 300, and provides disease gene information based on the information obtained from the genetic testing laboratory. You can also get it. Alternatively, not only the information from the genetic testing station, but also the information measured by the measuring device may be received through a separate communication means.

The nutrient information management unit 330 is configured to manage related nutrient information based on user information. For example, information on the group of nutrients to be ingested according to the disease gene, which is an example of user information, specifically information on required and avoided nutrients, information on nutrient weights according to symptoms in the questionnaire, and criteria for the purpose and target values of users stored in advance It is configured to store and manage nutrient information, for example, information on the ratio of necessary nutrient composition in the nutrient DB.

Accordingly, if it is determined that the user has a specific disease gene from the contents of the questionnaire, the nutrients required and avoided nutrients can be extracted from the user based on the information, and based on the user's purpose and target value, the necessary nutrients compared to the reference nutrient The composition of nutrients is calculated, and if there is a specific symptom from the user's questionnaire, it can be designed to add more specific nutrients accordingly. Meanwhile, at least one of the weight of the nutrient and the ratio of the required nutrient composition may be determined by a function value using information extracted from the questionnaire as a factor.

In addition, the nutrient information management unit 330 may be configured to match food material information including each nutrient and store it in the nutrient DB. That is, in recommending a food or diet for each user, a food or diet composed of food materials including the nutrient may be recommended based on information on the nutrient recommended to the user. For example, food or diet can be recommended according to the matching rate of food materials.

The food/diet recommendation unit 340 is configured to recommend food or diet based on nutrient information recommended for each user. For example, the food/food recommendation unit 340 may recommend food on a single basis based on the user's questionnaire content, or to a user who wishes to organize a diet, recommended foods based on the user's questionnaire content. You can create a diet consisting of and recommend it to users.

The food/diet recommendation unit 340 includes a diet direction setting unit 341, a diet production unit 343, and a diet feedback unit 345 in order to produce a diet.

The diet direction setting unit 341 is configured to set the diet direction by calculating a rate constant of the delay effect for each nutrient configured based on the content of a user questionnaire. The rate constant of the delay effect for each nutrient is based on the time until the effect occurs after physical application. Specifically, the fast rate constant means that the body reacts within a short period after ingestion, and the slow rate constant means that the long-term after ingestion. It indicates that a reaction is coming from the body within.

The diet direction setting unit 341 schedules the nutrient composition so that the rate constant progresses from fast to slow in composing the diet. Accordingly, the user can detect immediate changes in the body by ingesting food at the beginning of the diet consisting of nutrients with a fast rate constant, and also quickly measure individual errors and reflect them in the food afterwards, so that immediate dietary modification is possible. do.

The diet production unit 343 is configured to schedule food according to the nutrient composition scheduled by the diet direction setting unit 341 to produce a diet. That is, the diet production unit 343 is configured to schedule food based on the current situation, target, and period information for which the diet is to be recommended, input by the user, and in this case, the food scheduling is performed by the diet direction setting unit 341 ) Is set to conform to the nutrient composition placed in.

For example, the food preparation unit 343 may refer to food materials matched by nutrients according to the nutrient information management unit 330, and generally produce a meal consisting of foods that can be produced using the food materials. For example, the diet production unit 343 may produce a diet consisting of general food matching the corresponding food materials based on general food information including food material information managed by the food information management unit 350 to be described later. Alternatively, food makers managed by the food information management unit 350 may create a meal consisting of directly matched foods by referring to recipe information of foods that can be produced.

In addition, the meal preparation unit 343 may be configured to produce a menu that can be selected by the user by listing food groups composed of at least one food. For example, if foods that can be produced with food materials matching the scheduled nutrient composition are the first food, the second food, the third food, etc., the food group including these is recommended to the user, so that the user can be selected. can do.

The diet feedback unit 345 is configured to feed back a diet based on data for each user who has consumed food constituting the diet. For example, the diet feedback unit 345 checks the degree of improvement of the disease before and after eating according to the composition of the diet configured for the user using the food recommendation and production linkage system 1000, or Changes in, for example, changes in body weight, changes in vision, etc. may be modified based on the checked answer, a diet configured for each user. For example, if necessary nutrients were scheduled according to the suspected disease gene information based on the first questionnaire for each user, but an immediate response did not appear even though a nutrient with a fast rate constant was consumed, the disease gene was modified, It is configured to modify the diet by scheduling nutrients accordingly.

For example, the diet feedback unit 345 may be configured to predict a changing user's nutritional status profile based on predetermined data, measure an error based on questionnaire content, and feed back a diet. Meanwhile, the predetermined data may be data according to statistics based on ingested nutrient information, or alternatively, may be data based on a model (Factor modeling) in which factors affecting an error are learned through artificial intelligence. That is, the diet feedback unit 345 can produce a highly personalized diet with higher efficiency.

The food information management unit 350 is configured to store and manage information on food classified by category. The information on the food includes food ingredient information and recipe information for each food. The information on the food may include information on general food and information on food registered as a menu that can be produced by at least one food maker. For example, the food information management unit 350 is configured to store and manage information on foods registered by different food producers for the same food for each category in a food DB. In addition, the food information management unit 350 is configured to match and manage information on the stored food with an identification code of a food producer who has registered it.

The maker characteristic analysis unit 360 is configured to analyze the characteristics of the food maker based on menu information registered by the food maker. For example, by extracting information on a cooking style based on recipe information for each food, characteristics of a corresponding food maker may be analyzed. Specifically, the maker characteristic analysis unit 360 is based on the recipe information registered from different food productions for the same food managed by the food information management unit 350, by elements such as nutrients, food materials, calories, amount, seasoning, etc. The distribution map can be calculated and characteristics such as the cooking style of the food maker compared to other food makers can be analyzed.

In addition, the maker characteristic analysis unit 360 may analyze the characteristics of the food maker by extracting common information of food registered for each food maker. That is, it is configured to extract common characteristics among the characteristics of food makers analyzed for each food. Accordingly, while recommending a food or diet based on user-specific information, a food maker most suitable for manufacturing the corresponding food and food constituting the diet may be recommended to the user.

The maker recommendation unit 370 is configured to recommend a food maker to a user according to whether characteristic information of individual food experts is matched based on at least one of user information and recommended nutrient information. The food maker's recommendation may be determined according to the matching rate between user information and the food maker's cooking style. For example, the food maker's recommendation may be in the form of providing the user with information on a maker list arranged in the order of a high matching rate. That is, the user may finally select a food maker to produce his or her own food based on the provided food maker list information.

For example, based on user information for an arbitrary user, if a specific food ingredient is allergic, the user is asked to recommend a food maker with a cooking style that does not use a specific ingredient or can use alternative ingredients. . Alternatively, when the overall cooking style of the food maker is analyzed to target users having a specific disease gene, the food maker may be preferentially recommended to users having the specific disease gene.

In addition, in addition to being based on information related to nutrients for each user, food makers can be selected based on external information, for example, information on the user's residence area, occupation (industry), income level, and local climate. I can recommend it. For example, the maker recommendation unit 370 determines the matching rate based on food makers adjacent to the place where the user wants to receive food, input through the user's residence area information or the user terminal 100 You can also recommend In addition, in consideration of the user's income level, food makers who produce food with expensive food materials, or food makers with high prices for food itself, may be excluded from recommendation.

In addition, the food maker recommendation unit 370 may recommend a food maker based on the food recommended by the food/diet recommendation unit 340 or food as a composition of the diet. For example, from among food producers who have registered the recommended food as a menu capable of producing the recommended food, a food maker having a high matching rate may be recommended to the user. In this case, before recommending a food maker, if there are a plurality of foods recommended to the user, the step of allowing the user to select a desired food from among them should be preceded. However, it is not limited thereto. For example, the food maker recommendation unit 370 may recommend a food maker regardless of the recommended food or diet, and the user may view a menu that the recommended food maker can produce and select food included in the menu. Alternatively, the recommended food information may be transmitted to the food maker to request provision of the food.

On the other hand, when the recommended food maker receives a final selection from the user, the food maker is provided with user information and information on nutrients recommended to the user. Accordingly, the food maker may consider the use of food materials corresponding to user information and recommended nutrients when producing food requested by the user. In addition, recipe information based on food materials corresponding to the nutrients recommended to the food maker may be additionally provided.

The payment unit 380 is configured to communicate with a server of a payment agency when there is a request for payment of an order for production of a specific food from the selected food maker. The payment agency server may be, for example, a server such as a card company or a mobile phone phone bill, or a server of a separately affiliated communication company. Through the payment unit 380, the user may pay for each food or meal for a certain period of time, or may pay for long-term use in bulk. Alternatively, the user may pre-pay for points available in the food recommendation and production linkage system 1000 and consume the points when using the service.

For example, when there is an authentication or payment request from the user terminal 100 in cooperation with a payment agency, the payment unit 380 authenticates or pays through a client program linked with the payment agency's server and APEE, etc. The information is sent to the payment agency's server to perform authentication and payment procedures on the payment agency's server, and when the authentication and payment process is completed, the customer's identification code (user's unique identification key) and the food ordered by the user Alternatively, authentication or payment information such as an identification code of a meal, a payment amount, and a payment time is stored. The payment unit 380 receives the authentication and payment success signals and stores the same information in a customer DB or a separate purchase data DB.

When the purchase data management unit 390 receives a payment success signal from a payment agency server through payment processing in the payment unit 380, the purchase data management unit 390 receives the signal, matches the user who made the payment, and provides food maker information and It is configured to act to store and manage food or diet information. Accordingly, when the user uses the next service, when recommending food or meals to the user and recommending a food maker, the recommendation may be performed based on the information.

Accordingly, in recommending food or diet to the user, it is possible to avoid recommending the same food as the food that the user has already consumed, and food or similar food that can satisfy insufficient nutrients based on food information that the user has already consumed. You can recommend foods that are related to nutrients. Meanwhile, the recommendation of the same food may be set to be repeatable based on a predetermined period. For example, if the predetermined period is 3 days, information on food consumed by the user is referred to, and if 3 days have passed, the same food can be recommended. The predetermined period may be set by the food recommendation and production connection system 1000 or by a user through the user terminal 100.

With reference to FIG. 6, the operation of the food recommendation and food production linkage system will be described.

6 is a flowchart illustrating a method for providing a food recommendation and food production connection service of FIG. 1.

1 to 6, a method for providing a food recommendation and food production connection service according to an embodiment of the present invention includes at least one user accessing a central server through a user terminal to input user information and a member Signing up (S100), answering the questionnaire content provided by the user from the central server (S200), acquiring user information and nutrient information based on the questionnaire content (S300), based on user information and nutrient information The step of recommending food or diet (S400), recommending at least one food maker matching the cooking style based on user information and nutrient information (S500), the user selects a food maker and a food or diet, Performing an order payment (S600), providing user information, nutrient information, and ordered food or diet information to the selected food maker (S700), and producing food based on the information provided by the food maker, It includes a step (S800) of providing.

In the step S100 of the user signing up as a member, the user may access the central server 300 through an app, a web, or a web app of a user terminal to perform a new sign-up.

In the step of answering the questionnaire content (S200), the content of the questionnaire for extracting health-related data including the user's disease gene for recommending food or diet for each user is delivered to the user through the user terminal 100, and Inputs an answer to the questionnaire content and transmits it to the central server 300.

The above questionnaire includes, for example, questions about fat intake, dietary fiber intake, salt intake, snacks and alcohol intake, lifestyle, and health status information such as walking and running, stress, blood pressure, weight, sleep, heart rate and blood sugar. It can be composed of questions to understand. For example, the questionnaire content is for obtaining user information, and the user information includes internal information and external information for each user. The internal information may include at least one of the user's gender, age, weight, goals, family history, allergic food, and current diseases, and the external information includes information on the user's residence area, occupation (industry), and income. Information on levels, local climate, etc. may be included.

In the step of acquiring the user information and nutrient information (S300), characteristics for each user are analyzed based on the questionnaire content. For example, a disease gene of a user may be traced back as an example of user information based on the content of the questionnaire. The disease genes can be classified into genotypes according to categories, for example, as a hair health genotype, such as the possibility of hair loss and the thickness of the hair, as a skin health genotype, vitamin C metabolism, caffeine metabolism, skin elasticity, etc., as a body metabolic genotype, antioxidant , Bone, blood vessel, eye health, and micronutrient absorption and metabolism. For example, a disease gene may be tracked from a user's symptoms combined in a questionnaire content, or a disease gene may be matched with a matching probability of the user's symptoms by referring to public data of symptoms for each disease gene.

Also, based on user information, related nutrient information may be obtained. If it is determined that the user has a specific disease gene based on the information, the nutrients necessary and avoided nutrients can be extracted from the user, and based on the user's purpose and target value, the composition of necessary nutrients compared to the standard nutrients Is calculated, and when there is a specific symptom from the content of the user's questionnaire, it can be designed to add more specific nutrients accordingly. Meanwhile, at least one of the weight of the nutrient and the ratio of the required nutrient composition may be determined by a function value using information extracted from the questionnaire as a factor.

In the step of recommending the food or diet (S400), food may be recommended as a single shot based on the questionnaire content according to the user's request, or a user who wishes to organize a diet is recommended based on the user's questionnaire content. It is recommended to users by creating a diet consisting of the prepared foods.

At this time, the dietary direction is set by calculating the rate constant of the delay effect for each nutrient configured based on the user questionnaire, and the nutrient composition is scheduled so that the rate constant progresses from fast to slow. Accordingly, the user can detect immediate changes in the body by ingesting food at the beginning of the diet consisting of nutrients with a fast rate constant, and also quickly measure individual errors and reflect them in the food afterwards, so that immediate dietary modification is possible. do.

In addition, it is configured to produce a diet by scheduling food according to the scheduled nutrient composition. That is, it is configured to schedule food based on the current situation, goal, and period information for which a diet is to be recommended, inputted by the user, and at this time, the food scheduling is set to conform to the scheduled nutrient composition. For example, by referring to food materials matched by nutrients managed by the central server 300, a meal consisting of foods that can be produced with the corresponding food materials can be prepared.

In addition, the answer of checking the degree of improvement of the disease before or after eating according to the composition of the diet configured for the user who has used the food recommendation and production linkage system 1000 at least one or more times, or changes in the body, for example, Based on the answers in which changes in weight and eyesight are checked, a diet configured for each user may be modified and recommended. For example, if necessary nutrients were scheduled according to the suspected disease gene information based on the first questionnaire for each user, but an immediate response did not appear even though a nutrient with a fast rate constant was consumed, the disease gene was modified, It is configured to modify the diet by scheduling nutrients accordingly.

In the step of recommending a food maker (S500), characteristic information of a food maker, for example, a cooking style, etc., is analyzed based on menu information registered by the food maker, and based on at least one of user information and recommended nutrient information. The food maker is recommended to the user according to whether the characteristic information of each food expert is matched.

The food maker's recommendation is determined based on user information and the matching rate of the food maker's cooking style. For example, the food maker's recommendation may be in the form of providing the user with information on a maker list arranged in the order of a high matching rate. That is, the user may finally select a food maker to produce his or her own food based on the provided food maker list information.

In the step (S600) in which the user selects a food maker and food or diet and performs order payment (S600), the user communicates with the server of the payment agency according to a request for payment of an order for a specific food production to the selected food maker, Make payment.

At this time, the food maker is provided with user information and information on nutrients recommended to the user (S700). Accordingly, the food maker may consider the use of food materials corresponding to user information and recommended nutrients when producing food requested by the user. In addition, recipe information based on food materials corresponding to the nutrients recommended to the food maker may be additionally provided. After that, the food maker produces food based on the provided information and provides food to the user (S800).

For example, a food maker may contact a user's order information entered with a food order, for example, when a delivery request is made, food is delivered to a designated place, or when a visit is reserved, the restaurant or user it operates. Make sure food can be served in specific shared places. On the other hand, when the food recommendation and production linkage system 1000 also provides a separate delivery service, when the food production is completed, the food maker notifies that food production is completed through the food maker terminal 200, or orders food. When this is input, the time required for food production is input through the food maker terminal 200, so that the delivery person can deliver before or after the food production is completed, or the user can predict the delivery time. I can.

That is, according to the method of providing food recommendation and production-linked service according to the present embodiment, different genetic and environmental characteristics are applied to each person, allowing the user to consume food suitable for him/her to more precisely manage health. , Product production efficiency and productivity for managing a restaurant can be improved through an automatic recommendation system for producing prototypes according to the cooking style of food producers linked with recommendation data for each user. In addition, the creation of a new menu can be expected through the method of presenting the product by the consumer rather than the method provided by the conventional food maker. Accordingly, the time, cost and waste of raw materials spent by the producer for product development are significantly reduced. In addition, it can be expected to reduce the closing rate and increase the profit rate by strengthening the bonding between local restaurants and local residents.

Although described with reference to the above embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention described in the following claims. I will be able to.

1000: Food recommendation and production linkage system
100: user terminal
200: food maker terminal
300: central server
310: Customer Management Department
320: survey management unit
330: Nutrient Information Management Department
340: Food/Food Recommendations
350: Food Information Management Department
360: maker characteristic analysis unit
370: Producer recommendation
380: payment
390: purchase data management unit
400: external server

Claims (10)

In a method for providing food recommendation and food production service by backtracking a user's disease gene by a central server,
Generating a questionnaire consisting of at least one question in a central server and transmitting it to a user, and receiving a questionnaire content including internal information and external information of the user input as an answer to the questionnaire through a user terminal;
Obtaining user information including disease gene information of the user based on at least one of the internal information and external information, and obtaining nutrient information associated with the user based on the disease gene information;
Recommending a diet consisting of at least one food or foods for a predetermined period to a user based on at least one of the user information and the nutrient information;
Analyzing characteristic information including cooking styles for each food maker based on the productionable food information registered in the central server by the food maker through the food maker terminal, and matching the user information and the nutrient information of the user with the food production characteristic information Recommending at least one food maker to a user according to a rate; And
When the food maker is selected by the user, transmitting the user information and the nutrient information of the user to the food maker,
The internal information includes at least one of the user's gender, age, weight, goal, family history, allergic food, and current disease, and the external information includes information on the user's residence area, occupation, income level, and local climate. A method for providing a food recommendation and food production service, comprising at least one of information about. The method of claim 1,
Generating the questionnaire,
A questionnaire consisting of common questions is created for a user who first accesses the central server, and a questionnaire consisting of personalized questions is generated based on user information including the user's status information currently recognized according to the times the user has accessed. A method for providing food recommendation and food production service, characterized in that to. The method of claim 2,
The central server is a food recommendation and food production service, characterized in that the central server updates disease gene information for each user, and updates the user information and the nutrient information according to each time an answer to the questionnaire for each episode is registered by the user. Method for providing. The method of claim 3,
In recommending the above diet,
Based on the nutrient information of the user, a rate constant of the delay effect for each nutrient is calculated, and the composition of the nutrients is scheduled so that the dietary direction is progressed from fast to slow,
Scheduling food constituting a meal that can be produced with food materials based on the scheduled nutrient composition according to the user information,
Each time the user information and the nutrient information are updated, the composition of the nutrient and the food scheduling according to the nutrient configuration are updated. The method of claim 1,
The nutrient information includes at least one of necessary nutrients and avoidance nutrients information according to the detected disease gene, nutrient weight information according to symptoms in the questionnaire contents, and reference nutrient information for the purpose and target value of the user stored in advance. A method for providing food recommendations and food making services. The method of claim 1,
The method for providing a food recommendation and food production service, wherein the central server is based on public data of an external server in obtaining at least one of the user information and nutrient information of the user. The method of claim 1,
In the step of recommending the food maker,
A method for providing a food recommendation and food production service, characterized in that, based on at least one food information recommended to the user, a food matching the corresponding food is recommended from among food makers registered in a central server. The method of claim 1,
In the step of recommending the food maker,
A method for providing food recommendation and food production service, characterized in that providing food maker list information in an order of high matching rate. The method of claim 1,
When a food maker is selected by the user, food recommendation and recipe information of food that can be produced with food materials based on the nutrient information are transmitted to the food maker along with the user information and the nutrient information of the user. Methods for providing food making services. In a system for providing food recommendation and food production service by backtracking a user's disease gene,
A user terminal that communicates with the central server through a network and transmits, to the central server, a questionnaire content including internal information and external information of a user as an answer to a questionnaire consisting of at least one question provided from the central server;
A food maker terminal that communicates with a central server through a network and transmits food information to the central server by allowing food makers to input food information that they can produce; And
Including a central server that communicates with the user terminal and the food maker terminal through a network,
The central server,
A questionnaire content analysis unit that acquires user information including disease gene information of the user based on at least one of the internal information and external information of the received questionnaire content;
A nutrient information management unit that acquires nutrient information associated with a user based on the disease gene information;
A food/diet recommendation unit for recommending a diet consisting of at least one or more foods or foods of a predetermined period to a user based on at least one of the user information and the nutrient information;
A maker characteristic analysis unit which analyzes characteristic information including a cooking style for each food maker based on the food information that can be produced registered in the central server by the food maker through the food maker terminal; And
A maker recommendation unit for recommending at least one food maker to a user according to a matching rate of the user information of the user and the nutrient information and characteristic information for each food production,
When the food maker is selected by the user, the user information and the nutrient information of the user are transmitted to the food maker,
The internal information includes at least one of the user's gender, age, weight, goal, family history, allergic food, and current disease, and the external information includes information on the user's residence area, occupation, income level, and local climate. A system for providing food recommendation and food production service, comprising at least one of information about.

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