JP2017191579A - Supplement search system - Google Patents

Abstract

A customer who eats or eats at a restaurant such as a restaurant or a tavern is notified of an optimal supplement to be taken for improving health based on the nutrients taken. [Solution] The intake of nutrients taken based on the input order of food and drink is totaled, and the divergence tendency between the total value of the total intake and the ideal value of the intake obtained in advance is analyzed. In addition, the association between the divergence tendency and the type of supplement to be supplemented is stored in advance in the database, and the one or more supplements are based on the analyzed divergence tendency with reference to the association stored in the database. Explore. [Selection] Figure 1

Description

  The present invention relates to a supplement search system suitable for notifying customers who eat and drink at restaurants such as restaurants and taverns of optimal supplements.

  With the recent increase in health consciousness, research on healthy foods with reduced salt and calories is progressing, and healthy food restaurants that offer only such healthy foods are also opening stores. This healthy food restaurant consists of a menu of main dishes, side dishes, soups, rice, etc. with a focus on vegetables with a salt content of 3 grams. For this reason, it can be said that it is a very suitable menu for customers who want to improve obesity and high blood pressure, and women who are on a diet.

  However, there are not a few customers who feel unsatisfactory due to the light taste and small amount of these. There are many customers who want to eat as much of their favorite menus that create a rich flavor without worrying about salt or calories, especially when eating at restaurants. However, foods and drinks that are served in restaurants such as restaurants tend to be cooked, processed high, and seasoned in order to pursue preservation, safety, taste, taste, and the like. For this reason, it is general that nutritional balance is bad, oil content, sugar content and salt content are large, and lipid peroxide and additives are large. In addition, vegetables and the like that have been frozen for storage often have broken nutrients and are unable to perform their original functions as nutrients. For this reason, continuing to eat out can be detrimental to dieting customers and customers with high blood pressure. In particular, those who are physically healthy often get useless extravagance if they rely on eating out. For this reason, in restaurants and pubs and other restaurants, customers can eat as much as they like, while consuming too much salt, fat, and calories, and supplementing the missing nutrients. Has long been desired. Thereby, even when eating out, it is possible to achieve both a taste and a health.

  In general, such supplementation of nutrients can be achieved by taking supplements. Supplements have spread rapidly in recent years, mainly for the purpose of maintaining and promoting health, disease prevention, beauty, anti-aging, and nutritional component reinforcement. Supplements are substances that maintain health and improve unhealthy conditions by ingesting missing nutrients or consuming excess nutrients, and are usually marketed in the form of tablets, capsules, and granules. Is done. On the other hand, supplements categorized as general foods are prohibited from labeling for efficacy and efficacy under the Premium Labeling Law, etc., so consumers who take this type of supplement are products that meet their intended purpose based on their own knowledge and judgment. The general tendency is to select and purchase.

  For this reason, after eating as much as they like at a restaurant, customers can self-analyze their health, lack of nutrients and what excess nutrients are, and the best supplement to take In order to actually examine this quantitatively, it is necessary to calculate with reference to various data, and this is usually done every time when eating and drinking. Have difficulty.

  2. Description of the Related Art Conventionally, there has been proposed a supplement blending system that can determine supplements necessary for a customer, and then automatically package and provide the supplements using a packaging machine (see, for example, Patent Document 1). . In this supplement preparation system, supplements necessary for the user are determined based on data in various databases by inputting the user's symptoms, ingestion purpose, nutrients desired to be ingested, and the like. Japanese Patent Laid-Open No. 2004-228561 stores in advance accumulated data obtained by accumulating user personal data for a long time, inputs the current day data when purchasing the supplement, and blends the supplement based on the accumulated data and the current day data. Is disclosed (for example, see Patent Document 2).

  Further, Patent Document 3 discloses a food information support information apparatus that uses IT technology to customize recipes and menus according to individual situations and attributes, although the technology is not limited to supplement preparation.

  However, according to the disclosed technology of Patent Documents 1-3, there is a problem in that it is not possible to select an optimal supplement for maintaining a healthy state by complementarily supplementing or consuming nutrients ingested by eating and drinking in restaurants. There was a point.

JP 2004-272618 A JP 2004-86660 A JP 2014-241044 A

  Therefore, the present invention has been devised in view of the above-mentioned problems, and the purpose of the present invention is based on the nutrients ingested for customers who eat and drink at restaurants such as restaurants and taverns. An object of the present invention is to provide a supplement search system capable of notifying an optimal supplement to be taken for improving the condition.

  The supplement search system according to the first aspect of the present invention obtains in advance a totaling means for totaling the intake of nutrients ingested based on an inputted food and drink order, a total value of the intake totaled by the totaling means, Analysis means for analyzing a deviation tendency from an ideal intake value, an association supplement database in which the association between the deviation tendency and the type of supplement to be supplemented is stored in advance, and the association supplement database. And searching means for searching for one or more supplements based on the divergence tendency analyzed by the analyzing means.

  The supplement search system according to the second aspect of the present invention obtains in advance a totaling means for totaling the intake of nutrients ingested based on an inputted food and drink order, a total value of the intake totaled by the totaling means, Analyzing means for analyzing a deviation tendency from an ideal value of a certain intake amount, a first association between the deviation tendency analyzed by the analyzing means and a diagnosis result classified in advance, and the classified diagnosis result An association supplement database in which the second association between the supplement and the type of supplement to be supplemented is stored, and the disparity tendency analyzed by the analysis means with reference to the first association stored in the association supplement database. Search for one or more diagnosis results with high linkage, and search for the second linkage stored in the linkage supplement database to find the searched 1 Characterized in that it comprises a search means for searching for one or more supplements high diagnostic results and associativity above.

  A supplement search system according to a third aspect of the present invention is the supplementary system according to the first or second aspect, comprising a vending machine in which a plurality of types of supplements are accommodated, wherein the vending machine is information relating to supplements searched for by the search means. And taking out the searched supplement based on the information.

  A supplement search system according to a fourth invention is characterized in that, in any one of the first invention to the third invention, the search means is controlled by artificial intelligence.

  A supplement search system according to a fifth aspect of the present invention is the supplement search system according to the fourth aspect, further comprising evaluation data extraction means for extracting evaluation data reflecting the evaluation result of the supplement, wherein the artificial intelligence for controlling the search means includes the evaluation data extraction The evaluation data extracted by the means is reflected in each association.

  A supplement search system according to a sixth aspect of the present invention is the supplement search system according to any one of the first to fifth aspects, further comprising supplement notification means for displaying, printing, or transmitting the supplement searched for by the search means to the mobile terminal of the customer. It is characterized by providing.

  A supplement search system according to a seventh aspect of the present invention further includes attribute information input means for inputting customer attribute information in any of the first to sixth aspects, wherein the analysis means is input by the attribute information input means. The attribute information is reflected in the ideal value of nutrient intake.

  The supplement search system according to an eighth aspect of the present invention further comprises attribute information input means for inputting customer attribute information in any of the first to sixth aspects, wherein the association supplement database is the categorized diagnosis. The second association between the result and attribute information and the type of supplement to be supplemented is stored, the second association stored in the association supplement database is referred to, and the searched one or more diagnosis results and the attribute Searching means for searching for one or more supplements having high association with the attribute information input by the information input means is provided.

  The supplement search system according to a ninth aspect of the present invention further includes an order terminal for inputting a food and drink order in any of the first to seventh aspects, wherein the counting means is input via the order terminal. It is characterized by totaling the amount of intake taken on the basis of food and drink orders.

  According to the present invention having the above-described configuration, a customer who eats or eats at a restaurant such as a restaurant or a tavern is notified of the optimal supplement to be taken for improving health based on the nutrients taken. Can do.

  In other words, in restaurants and taverns and other restaurants, customers can eat as much as they like, and by analyzing the nutrients of the food and drink they consume, they consume too much salt, fat, and calories. While supplementing the missing nutrients. As a result, when satisfying the customer, the customer can satisfy both the sense of satisfaction and the health when eating and drinking at the restaurant. Moreover, it is possible to analyze such nutrients, search for an optimal supplement, and notify the customer each time when eating and drinking is performed once. For this reason, after eating as much as they like at a restaurant, the customer should analyze the health condition, lack of nutrients, and excess nutrients, and then take the best It is no longer necessary to examine what each supplement component is for each meal. In addition, restaurants that provide services that satisfy the sense of taste as well as health can also be differentiated from other stores to increase sales. Further, according to the present invention, in addition to the nutrients based on the food and drink taken in the restaurant, the nutrition of the food and drink taken in advance is also taken into account, and then the comprehensive supplement from the food and drink taken that day Can be explored.

It is a block diagram which shows the whole structure of the supplement search system 1 to which this invention is applied. 3 is a diagram illustrating a specific configuration example of a central control terminal 2. FIG. It is a figure which shows the example of this nutrient data which should be referred. It is a figure which shows the example which calculates | requires the difference of the aggregate value of a nutrient, and the ideal value of the intake of a nutrient, and bird's-eye view on the tendency. It is a figure which shows the example which searches while referring to the 1st correlation of the divergence tendency and the diagnosis result classified in advance. It is a figure which shows the example which searches one or more supplements with high correlation with the one or more diagnostic results searched. It is a figure which shows the example which searches a supplement directly from a deviation tendency, without searching a diagnostic result. It is a figure which shows the example which takes a supplement freely in the supplement bar installed in the restaurant. It is a figure which shows the example which searches while referring to the 2nd relationship of the typed diagnosis result and attribute information, and the kind of supplement which should be supplemented. It is a figure which shows the example which selects the supplement which consists of a single component. It is a figure which shows the example which searches the supplement which consists of a single component directly from a deviation tendency, without searching a diagnostic result.

  Hereinafter, a supplement search system to which the present invention is applied will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing the overall configuration of a supplement search system 1 to which the present invention is applied. The supplement search system 1 can be installed for all restaurants including restaurants, pubs, carousel restaurants, fast food restaurants, coffee shops, ramen restaurants, food courts, and the like. The supplement search system 1 includes an order terminal 3, a central control terminal 2 that can communicate with the order terminal 3 by radio or wire, a store POS system 7 connected to the central control terminal 2, and a store And a supplement vending machine 8 connected to the POS system 7.

  The central control terminal 2 is connected to a public communication network 4, and the public communication network 4 is connected to a server 5 and a headquarter system 6.

  The public communication network 4 is an Internet network or the like to which the central control terminal 2, the server 5, and the head office system 6 are connected via a communication line. The public communication network 4 may be a so-called optical fiber communication network. The public communication network 4 is not limited to a wired communication network, and may be realized by a wireless communication network.

  The central control terminal 2 is installed in a restaurant and is basically a terminal that can be operated only by a store clerk. For example, the central control terminal 2 is composed of electronic devices such as a personal computer (PC). It may be embodied in any other electronic device such as a mobile phone, a smartphone, a tablet terminal, and a wearable terminal.

  FIG. 2 shows a specific configuration example of the central control terminal 2. The central control terminal 2 includes a control unit 24 for controlling the central control terminal 2 as a whole, an operation unit 25 for inputting various control commands via operation buttons and a keyboard, and the like for a store in the store. Retrieval to be executed, represented by a store communication unit 26 for performing wired communication or wireless communication between the POS 7 and the kitchen notification unit 9, a search unit 27 for searching for an optimal supplement for the customer, and a hard disk A storage unit 28 for storing a program for performing the above is connected to the internal bus 21. Furthermore, a communication I / F 29 and a display unit 23 as a monitor for actually displaying information are connected to the internal bus 21.

  The control unit 24 is a so-called central control unit for controlling each component mounted in the central control terminal 2 by transmitting a control signal via the internal bus 21. Further, the control unit 24 transmits various control commands via the internal bus 21 in accordance with the operation of the store clerk through the operation unit 25.

  The operation unit 25 is embodied by a keyboard or a touch panel, and an execution command for executing a program by a store clerk is input from the user. When the execution instruction is input by the store clerk, the operation unit 25 notifies the control unit 24 of this. Upon receiving this notification, the control unit 24 executes a desired processing operation in cooperation with each component including the search unit 27.

  The search unit 27 searches for an optimal supplement for customers who have eaten or consumed food in the store. The search unit 27 reads out the order information transmitted from the order terminal 3 as necessary information and various information stored in the storage unit 28 when searching for supplements. The search unit 27 may be controlled by artificial intelligence. This artificial intelligence may be based on any known artificial intelligence technology.

  The display unit 23 includes a graphic controller that creates a display image based on control by the control unit 24. The display unit 23 is realized by, for example, a liquid crystal display (LCD).

  When the storage unit 28 is composed of a hard disk, based on the control by the control unit 24, predetermined information is written to each address and is read out as necessary. The storage unit 28 stores a program for executing the present invention. This program is read by the control unit 24 and executed.

  The communication I / F 29 is mounted with a line control circuit for connecting to the public communication network 4, a signal conversion circuit for performing data communication with other terminal devices, and the like. The communication I / F 29 converts various commands from the internal bus 21 and sends them to the public communication network 4 side. When data is received from the public communication network 4, the communication I / F 29 performs predetermined conversion processing on the received data. To the internal bus 21, or the control unit 24, the search unit 27, and the like.

  The in-store communication unit 26 includes a line control circuit and a signal conversion circuit for performing wired communication or wireless communication with the order terminal 3, the POS 7 for store, and the kitchen notification unit 9 for notifying the store clerk in the kitchen of order information. Etc. are implemented. The in-store communication unit 26 transmits the order information related to the food and drink ordered by the customer from the order terminal 3 to the control unit 24 and, if necessary, the public via the communication I / F 29. Transmit to the communication network 4. The in-store communication unit 26 transmits the order information to the kitchen notification unit 9 under the control of the control unit 24. Further, the in-store communication unit 26 transmits to the store POS 7 supplement information including accounting information based on the order information and various information such as the composition, configuration, and quantity of supplements searched for in the search unit 27.

  A predetermined database is constructed in the server 5. Information sent via the public communication network 4 is stored in this database. Further, the server 5 transmits the accumulated information to the central control terminal 2 via the public communication network 4 based on a request from the central control terminal 2. Further, the server 5 transmits the accumulated information to the head office system 6 via the public communication network 4 based on a request from the head office system 6.

  The headquarter system 6 is a system installed in a headquarters that supervises a franchise chain, for example, when a restaurant belongs to a franchise chain. The headquarter system 6 is also composed of electronic devices such as a PC. The configuration of the headquarter system 6 may be implemented with the function of the search unit 27 in the central control terminal 2, or the headquarter system 6 may perform processing operations to be performed by the search unit 27 instead. .

  The order terminal 3 is a device for a customer who visits a restaurant to order a desired food or drink. The order terminal 3 may be constituted by a store clerk input type terminal that a store clerk owns, listens to orders from customers, and inputs the order, or is installed in the vicinity of a seat and an order screen on which product images are displayed It may be configured by a so-called self-order terminal that allows a customer to easily order a product while viewing the screen.

  In the case where the order terminal 3 is constituted by a clerk input type terminal, buttons and a touch panel that are easy to operate by the clerk are arranged, and the order terminal 3 is constituted by a lightweight and small terminal so as to be easily carried or carried. There are many cases. The order information of the food and drink is generated by inputting the order received by the clerk from the customer to the order terminal 3.

  On the other hand, when the order terminal 3 is composed of a self-order terminal, the order terminal 3 is often composed of a tablet terminal having a relatively large screen size in order to improve the visibility of the order screen. It is not something. A plurality of product images are displayed on the order screen of the order terminal 3 as a self-order terminal, and when the customer touches one of the product images with a finger, order information for the product corresponding to the touched product image is generated. Will be.

  The order terminal 3 transmits the generated order information to the central control terminal 2 through wired communication or wireless communication. The configuration of the order terminal 3 may be omitted. In such a case, instead of providing the order terminal 3, the order information is generated by directly inputting the order received by the store clerk from the customer via the operation unit 25 in the central control terminal 2. That is, the central control terminal 2 may be combined with the order terminal 3 by mounting all the functions of the order terminal 3 in the central control terminal 2.

  The store POS 7 is an accounting terminal installed in an accounting space in the store. Accounting information and supplement information based on the order information are sent to the store POS 7 for each customer or each table number via the in-store communication unit 26 of the central control terminal 2. When the customer who has selected cash register settlement moves to the cash register in the store and tells the table number, and the store clerk inputs the table number to the store POS 7, the store POS 7 receives the accounting received from the central control terminal 2. The amount charged to the customer can be calculated based on the information, and the customer can settle the food and drink bill. When the store clerk inputs the table number to the store POS 7, the store POS 7 also plays a role of notifying the details of the supplement that the customer should take based on the supplement information received from the central control terminal 2.

  The method for notifying the supplement information notified to the customer by the store POS 7 may be realized by any method. The store POS 7 may print the supplement information on a receipt to be printed, or may transmit the supplement information to a mobile terminal owned by the customer.

  Further, the store POS 7 may transmit this to the supplement vending machine 8 instead of notifying the details of the supplement to be taken by the customer. Thereby, the customer can recognize the supplement that he / she should take from the supplement carried out from the supplement vending machine 8.

  The kitchen notification unit 9 is an electronic device installed in the kitchen space. Order information is sent to the kitchen notification unit 9 for each customer or for each table number via the in-store communication unit 26 of the central control terminal 2. The kitchen notification unit 9 notifies this order information to a store clerk who performs cooking work in the kitchen. The method of notifying order information by the kitchen notifying unit 9 may be realized by any method. For example, the order information may be printed to notify a kitchen clerk or an electric bulletin board. Alternatively, notification may be made by displaying on the display panel. The kitchen notification unit 9 may notify order information through automatic voice.

  The supplement vending machine 8 is a device that automatically carries out various commercially available supplements in response to the insertion of cash or payment by electronic money. The supplement vending machine 8 is pre-loaded with multiple types of commercially available supplements, and is displayed with the supplement bottles, cans, bags and plastic bottles visible to the customer. Or an image of the loaded supplement is displayed on the display panel. When the customer presses the button of the supplement desired to be purchased, the supplement is taken out from the supplement vending machine 8. Incidentally, the configuration of the supplement vending machine 8 may be a conventional vending machine configuration as it is.

  The supplement vending machine 8 may be communicable with the store POS 7. Supplement information is transmitted from the store POS 7 to the supplement vending machine 8. The store POS 7 may carry out a supplement corresponding to the received supplement information.

  The configuration of the supplement vending machine 8 may be omitted. In other words, instead of installing the supplement vending machine 8, a supplement sales corner may be provided in the restaurant so that the store clerk sells the supplement directly, or when the customer checks out in the accounting space in the store You may sell supplements. In addition, a plurality of types of supplements may be displayed in the store, and the supplements desired by the customer may be purchased freely. It goes without saying that the store side may freely set whether to provide supplements to customers for a fee or free of charge.

  Next, the operation of the supplement search system 1 to which the present invention is applied will be described.

  As shown in FIG. 1, a favorite food and drink is ordered in a restaurant. The food and drink ordered by the customer is input to the order terminal 3 as described above. The order terminal 3 generates order information based on the ordered order and transmits it to the central control terminal 2. The order information transmitted to the central control terminal 2 is temporarily stored in the storage unit 28 via the in-store communication unit 26. The control part 24 can acquire the information regarding the food and drink ordered by the customer by reading the order information memorize | stored in this memory | storage part 28. FIG. Incidentally, when an order for food and drink is made without going through the order terminal 3, order information is generated based on the content of the order input by the store clerk through the operation unit 25, and this information is temporarily stored in the storage unit 28. The Rukoto.

  The control unit 24 controls the order information temporarily stored in the storage unit 28 to be sent to the kitchen notification unit 9 via the in-store communication unit 26 for each customer or each table number. The kitchen clerk notified of the order information from the kitchen notifying unit 9 can understand what the food and drink ordered based on this. As a result, it becomes possible to provide the customer with food and drinks in accordance with the order from the kitchen.

  Also, in izakaya and sushi restaurants, it is rare that the order is usually completed only once, and food and drink are usually ordered in several times. In such a case as well, an order is similarly made via the order terminal 3, and the order terminal 3 generates order information for each customer or each table number and transmits it to the central control terminal 2 each time.

  In this way, the order information is accumulated in the storage unit 28 until every order is completed for each customer or each table number. And in the stage where all orders were completed for every customer or every table number, search part 27 will perform work which searches for the supplement which should be provided to a customer for every customer or every table number.

  First, the search part 27 totals the intake of the nutrients ingested based on the order of the food and drink described in the order information ordered by one customer. Find the total value of nutrients consumed by that one customer. If the order of all food and drink ordered by that one customer is, for example, 1 beef croquette, 1 tsukeyane, rolled-up egg, boiled eggplant miso and fried chicken, beef Referring to the nutrient data on croquettes, tsukune, rolled egg, eggplant miso boiled and fried chicken, calculate the total value of the ingested nutrients.

  FIG. 3 shows an example of the nutrient data to be referred to. This nutrient data is an example of beef croquette, but is composed of detailed data on each item of total calories and three major nutrients, vitamins, minerals, other (total amount of dietary fiber, salt equivalent, etc.), fatty acids, and amino acids. The In addition, the item of the component of these nutrients is not limited to the classification | category shown in FIG. 3, You may be comprised by what kind of other classification | category. These nutrient data to be referred to may be stored in the storage unit 28, stored in the headquarter system 6 or the server 5, and acquired through the public communication network 4.

  When the search unit 27 calculates the total value of the ingested nutrient based on the referred nutrient data, the total value is aggregated for each item of the nutrient component. That is the total intake of nutrients of food and drink taken by the customer at the restaurant (hereinafter referred to as the total value).

  Next, the search unit 27 reads an ideal value of nutrient intake. The ideal value of nutrient intake is the ideal nutrient intake per person, and is categorized by age, sex, etc., and stored in the storage unit 28 in advance. The search unit 27 reads the ideal value of the nutrient intake from the storage unit 28. Incidentally, when the ideal value of the nutrient intake is stored in the headquarter system 6 or the server 5, it may be acquired via the public communication network 4.

  The search unit 27 compares the ideal value of the nutrient intake acquired in this way with the aggregated value of the nutrient, thereby analyzing the divergence tendency of the nutrient intake with respect to the ideal value of the nutrient intake. . When analyzing the deviation tendency, the analysis may be performed using any known statistical technique. As an example, as shown in FIG. 4, a difference between the aggregate value of nutrients and the ideal value of nutrient intake may be obtained and the trend may be bird's-eye view.

  FIG. 4 shows the aggregate value of nutrients-ideal values of nutrient intake in the table. “+” In this table indicates that the total value of nutrients is greater than the ideal value of nutrient intake, and “+” in the table indicates that the total value of nutrients is the ideal value of nutrient intake. It shows less cases. The search unit 27 analyzes the tendency of deviation from the ideal value of the nutrient intake with respect to the aggregate value of the nutrient by overlooking the situation illustrated in FIG. 4.

  Next, the search unit 27 searches for one or more diagnosis results that are highly related to the deviation tendency. The search for the diagnosis result may be performed with reference to the first association between the tendency of deviation as shown in FIG. 5 and the diagnosis result that is categorized in advance. This first association indicates the degree to which each diagnosis result is associated with each item of divergence tendency, and may be configured by a so-called neural network. For example, for the diagnosis result regarding iron deficiency, the energy difference value and its positive / negative, iron difference value and its positive / negative, zinc difference value and its positive / negative, copper difference value and the first association with its positive / negative are defined. Yes. The first association may be defined by a binary value indicating whether or not the association is simply performed, or may be defined by an analog expression method. As an analog expression method of the first relevance, as for the diagnosis result regarding iron shortage, the percentage of relevance may increase as the negative difference value of iron increases. For example, 50% may be set if the difference value of iron is -1, 55% if it is -2, 75% if it is -10, and the like. Diagnosis results related to iron deficiency have such a degree of association for each nutrient. For example, “energy” is 65% association, “iron” is 94% association, and “zinc” is 59% association. , “Copper” is set such that the degree of association is 83%. If the search unit 27 is controlled by artificial intelligence, these degrees of association are weighting factors in the case of performing so-called supervised learning.

  Whether or not the correlation of the diagnosis result of iron deficiency is high may be based on the degree of association of other nutrients (zinc, copper, etc.) other than iron. In such a case, for example, a threshold value is set for each of iron, zinc, and copper, and when all the threshold values are exceeded, it may be determined that the relevance is high. If it exceeds, it may be determined that the relevance is high.

  In addition, it is possible to determine whether or not the correlation of the diagnosis result of iron deficiency is high based on the relationship between other nutrients other than iron (such as zinc and copper) and other nutrients. Of course. In such a case, in the first association described above, the difference value of the divergence tendency and its positive / negative may be set for each nutrient. That is, when the search unit 27 determines whether the diagnosis result is satisfied, the search unit 27 refers to a nutrient weight having a high association degree higher and a nutrient weight having a low association degree lower. In the above example, “energy” is set to 65%, “iron” is set to 94%, “zinc” is set to 59%, “copper” is set to 83%, and so on. When the tendency is negative (that is, the difference value is negative), the more negative the difference value of “iron”, the higher the possibility of corresponding to the diagnosis result “iron shortage”. Judgment of whether or not this diagnosis result “iron deficiency” is applicable refers to the difference values of “energy”, “zinc”, “copper” other than this “iron” and its positive / negative, but the weight is low. The weight of judgment is not as high as the difference value of “Iron”.

  The relationship with other nutrients is, for example, when iron is overdose because iron is a difference value of +, if there are many other nutrients that digest iron, As a result, less iron is absorbed by the human body. For this reason, depending on the amount of other nutrients that digest iron, it may be determined that the correlation with the diagnosis result of iron deficiency is low. It is possible to make such a determination by setting the degree of association between the other nutrients that digest iron and the degree of association between the dissociation tendencies of “iron”.

  In addition, one nutrient may be set so that the first association with a plurality of diagnosis results is high, or one diagnosis result is set so that the first association with a plurality of nutrients is high. It may be.

  Similarly, other diagnosis results (vegetable deficiency, high cholesterol, fear of adult disease, etc.) are determined with reference to the first association between the tendency of divergence and the previously classified diagnosis results. Then, it is determined whether the divergence tendency analyzed this time has high correlation with what diagnosis result. The determination of whether or not the relevance is high is not limited to the case where the absolute evaluation is performed based on whether or not the threshold set for each diagnosis result is exceeded, and may be a relative evaluation. In such a case, for example, one or more of the diagnosis results having a high degree of association with the analyzed divergence may be selected from the top.

  When the difference value and the positive / negative value of the deviation tendency are weighted for each nutrient in this way for each nutrient, for example, a total sum of values after weighting performed for each nutrient is obtained, and the predetermined threshold is exceeded Alternatively, it may be determined that the diagnosis result is satisfied, and if it is equal to or less than a predetermined threshold, it may be determined that the diagnosis result is not satisfied. In addition to this, the difference value and positive / negative of the tendency of the nutrient divergence may be calculated by substituting into a well-known arithmetic expression, and the level of relevance may be determined based on the numerical value of the calculation result. .

  Note that the diagnosis result that is highly correlated with the divergence tendency analyzed this time is not limited to the selection of one, but may be a selection of two or more. That is, there are cases in which “high cholesterol” and “risk of diabetes” are selected in one search.

  Next, the search unit 27 searches for supplements from the diagnosis result determined to be highly related. The determination as to whether or not the diagnostic results are highly relevant may be binary, in other words, expressed as true or false, or may be determined in three or more stages.

  FIG. 6 shows an example of searching for one or more supplements highly related to one or more searched diagnosis results. This search for supplements is performed with reference to the association between the searched one or more diagnosis results arranged in the left column and the supplements arranged in the right column (hereinafter referred to as second association). . The second association indicates the degree to which each supplement is associated with the diagnosis result, and may be configured by a so-called neural network. For supplement A, the second relationship of lack of vegetables and high cholesterol is defined. The second association may be defined by a binary value indicating whether or not the association is simply performed, or may be defined by an analog expression method. As for the second relevance analog expression method, supplemental A is 84% vegetable deficiency, cholesterol is high, 60% is iron deficiency, 35% is iron deficiency, there is a high risk of diabetes, 26% etc. The degree may be defined quantitatively. If the search unit 27 is controlled by artificial intelligence, these degrees of association are weighting factors in the case of performing so-called supervised learning.

  The search unit 27 searches for supplements with reference to such second association. For example, if the searched diagnosis result is an iron deficiency and the second association is referred to, supplement E is highly associated with the “iron deficiency”. For this reason, supplement E is selected as a search solution as a supplement to be searched.

  In addition, for example, when the searched diagnosis result is a lack of vegetables, and the second association is referred to, supplement A is highly associated with the “vegetable shortage”. For this reason, supplement A is selected as a search solution as a supplement to be searched. In addition, when the searched diagnosis results are “vegetable deficiency”, “high cholesterol”, and “high risk of diabetes”, supplement B is highly effective as a supplement that is effective for all of these. Therefore, the supplement B may be used as a search solution.

  In addition, when the searched diagnosis result is “high risk of diabetes”, when referring to the second association, supplements B, C, and E having high association with “high risk of diabetes” You may make it search, and when an association degree (weighting coefficient) is prescribed | regulated quantitatively, you may make it search for the one with the higher association degree. Even if supplement C has a lower relevance than supplement E, supplement C having a lower relevance may be selected as a search solution based on a predetermined rule. The pre-defined rule here refers to a difference value or positive / negative of a certain nutrient divergence tendency shown in FIG. 5, and when this exceeds a predetermined tendency or a predetermined value, the supplement C is defined as a search solution. You may make it carry out, and you may make it reflect on the association degree by weighting the difference value and positive / negative of the deviation tendency of a certain nutrient. In this way, the second association is not limited to the case where only the association between the supplement and the diagnosis result is specified, and the relationship with the divergence tendency may be further reflected in the association.

  In addition, when the degree of association (weighting coefficient) is defined quantitatively, as an example of judging through supervised learning based on this, the diagnosis results “vegetable deficiency”, “high cholesterol”, “diabetes mellitus” The second relevance of supplement B to "there is a high risk of That is, when the association degree of “vegetable shortage” is 55%, the association degree of “high cholesterol” is 89%, and the association degree of “high risk of diabetes” is 23%, it corresponds to “vegetable shortage”. In this case, there is a higher possibility that the supplement B is searched. On the other hand, if it does not fall under “vegetable deficiency”, the possibility of searching for supplement B is low even when other “high cholesterol” and “high risk of diabetes” fall under Become.

  When the diagnosis result is weighted for each diagnosis result in this way, for example, the total of the values after weighting performed for each diagnosis result is obtained, and the total exceeds a predetermined threshold Alternatively, it may be determined that the supplement is applicable, and if the total is equal to or less than a predetermined threshold, it may be determined that the supplement is not applicable. Other than this, the diagnosis result may be calculated by substituting it into a well-known arithmetic expression, and based on the numerical value of the calculation result, it may be determined whether it corresponds to the supplement.

  In the above-described example, the case where it is expressed as a binary value indicating whether or not it corresponds to the diagnosis result has been described as an example. Similarly, when the diagnosis result is expressed in three or more stages, it may be determined. In such a case, the supplement may be determined in consideration of the rank of the diagnosis result ranked in three or more stages and the degree of association.

  In addition, as a result of the search referring to the second association, the search is not limited to a binary value indicating whether or not each supplement is applicable, and the amount of the corresponding supplement is also searched. May be. In such a case, the second association and the amount of each supplement are acquired in advance as teacher data, and based on this, not only whether or not it falls under the supplement, but also the specific supplement amount. It will be searched.

  Moreover, although the search part 27 searched for the diagnostic result via the 1st association from the divergence tendency, and explained the case where the supplement was searched for via the 2nd association from the diagnosis result, it was limited to this. It is not a thing. That is, as shown in FIG. 7, the supplement may be searched directly from the deviation tendency without searching the diagnosis result. That is, the first association is directly connected to the second association. These are collectively defined as linkage. The actual search method is the same as that based on the first association and the second association, but the supplement is searched straight without obtaining the diagnosis result each time.

  That is, the search unit 27 refers to such association and searches for one or more supplements based on the analyzed divergence tendency. This searched supplement corresponds to the optimal supplement that the customer should take based on the food and beverages actually eaten and consumed by the customer at the restaurant and based on the diagnosis result of analyzing the missing and excessive nutrients. is there. Various types of information regarding the type and amount of supplement searched for by the search unit 27 are hereinafter referred to as supplement information. The search unit 27 generates the supplement information, stores it in the storage unit 28 under the control of the control unit 24, and transmits the supplement information to the store POS via the in-store communication unit 26.

  The store POS 7 receives the supplement information via the in-store communication unit 26. The store POS 7 prints a receipt describing information on supplements that the customer should replenish based on the supplement information received.

  The customer returns after the eating and drinking at the restaurant by the route indicated by the arrow shown in FIG. 1, but the customer performs settlement at the store POS7. At this time, the receipt on which the supplement to be taken can be received can be received, and the customer should understand the type and amount of the supplement to be taken by looking at the supplement information described in the received receipt. Can do.

  The customer who receives the receipt goes to the supplement vending machine 8 and purchases the supplement described in the receipt. Thereby, the customer can obtain the supplement which he should take in a restaurant. At this time, a barcode corresponding to the supplement to be taken is printed on the receipt, and the barcode to be read is loaded into the barcode reader installed in the supplement vending machine 8 so that the supplement to be taken is taken out. You may do it. As an alternative to the barcode reader, an IC tag may be printed on a receipt, supplement information to be taken in the IC tag may be stored, and read on the supplement vending machine 8 side. Further, when supplement information is transmitted from the store POS 7 to the mobile terminal owned by the customer, the supplement information is transmitted to the supplement vending machine 8 side by wireless communication between the mobile terminal and the supplement vending machine 8. You may make it transmit.

  Further, when the store POS 7 sends this to the supplement vending machine 8 instead of notifying the details of the supplement to be taken by the customer, the customer proceeds to the supplement vending machine 8 so that the customer can Supplements to be taken will be automatically carried out.

  Instead of placing the supplement vending machine 8, a store clerk may sell the supplement in the store. In such a case, the customer can understand what supplement the store clerk should sell by showing the receipt to the store clerk. Alternatively, the customer may purchase the supplement by telling the store clerk the type and amount of supplement described in the receipt.

  Further, the provision and sale of the supplement are not limited to the case where the supplement is performed when the customer returns. If at least order information can be obtained, a supplement that is most suitable for the customer can be selected. Therefore, the supplement may be distributed when the customer orders the menu. At this time, instead of distributing the searched supplement, the same ingredients as the supplement may be mixed with food and drink and served to the customer.

  At this time, instead of distributing supplements at the time of menu order by the customer, the supplement information is transmitted to the smartphone or mobile terminal owned by the customer, or the slip with the supplement information described in the slip is given to the customer, and the customer is in the store You may go to a supplement store or a so-called supplement bar where you can take supplements freely to get the desired supplement. As shown in FIG. 8, as supplement information, a slip 119 in which supplement information including a missing nutrient and a supplement to be supplemented is provided to the customer, and the customer confirms the supplement information described in the slip. As shown in FIG. 8, the supplement 121 to be replenished is freely selected from the supplement bar 120 and acquired.

  Further, when the order terminal 3 is constituted by a self-order terminal, the supplement information searched for may be displayed on the screen of the self-order terminal. The customer can know the supplement to be taken by himself / herself from the display on the screen of the self-order terminal. For example, the customer can obtain a desired supplement at a supplement bar in the store.

  In this way, in the supplement search system to which the present invention is applied, in a restaurant such as a restaurant or tavern, the customer can eat as much as they like, while analyzing the nutrients of the eaten food and drink. You can supplement the missing nutrients while consuming too much salt, fat, and calories. As a result, when satisfying the customer, the customer can satisfy both the sense of satisfaction and the health when eating and drinking at the restaurant. Moreover, it is possible to analyze such nutrients, search for an optimal supplement, and notify the customer each time when eating and drinking is performed once. For this reason, after eating as much as they like at a restaurant, the customer should analyze the health condition, lack of nutrients, and excess nutrients, and then take the best It is no longer necessary to examine what each supplement component is for each meal. In addition, restaurants that provide services that satisfy the sense of taste as well as health can also be differentiated from other stores to increase sales.

  In the present invention, as shown in FIG. 9, the second association between the typed diagnosis result and attribute information and the type of supplement to be supplemented may be acquired. This attribute information includes, for example, general personal information such as the customer's age, sex, occupation, nationality, and address, as well as information on the body, spirit, and chronicity of the customer, such as obesity, thinness, pregnancy, and diet. Medium, high blood pressure, diabetes, weak constitution, vulnerable to alcohol, arrhythmia, etc. In addition, this attribute information may include information such as headache, poor gastrointestinal condition, mania, cold, etc. as physical condition at the time of eating and drinking, and data such as fatigue level, body temperature, blood pressure, etc. It may be included. Such attribute information may be input by the customer or the store clerk through the operation unit 25 when visiting the store, or the attribute information previously input by the customer through the mobile terminal or the PC via the public communication network 4. May be acquired.

  In many cases, attribute information correlates with a diagnosis result, and supplements and associations are set. If the diagnosis result is “fat-rich”, it is assumed that supplement A is the most effective in degrading fat. If the customer is an obese body, supplement A has a high probability. Therefore, it can be said that the second association between the “obesity body shape” and the “supplement A” is preferably set to be high. Similarly, for hypertensive customers, the second linkage is set so that supplements effective for high blood pressure are selected with a high probability. In addition to this, the second association may be set so that there is a high possibility that an optimal supplement is selected according to all attribute information such as sex and age. As a result, it is possible to select an optimal supplement suitable for each gender and age.

  In this way, the second relevance is optimal in relation to the nutrients ingested in eating and drinking while taking into account the health status, physical condition, chronic illness, etc. of the customer by including attribute information in addition to the diagnosis result. It is possible to search for supplements.

  When this attribute information is input, the attribute information may be reflected in the ideal value of nutrient intake, in addition to being included in the second association described above. That is, when the attribute information is “obesity”, for example, the ideal value of “lipid” in FIG. 5 is modified to be lower. As a result, there are many cases where the actually ingested lipid diverges higher than the ideal value, and it becomes easy to select, for example, “fat rich” as a diagnosis result due to excessive intake of lipid, and this is highly related to the second. Supplements are easier to choose.

  Further, according to the present invention, when the search unit 27 is controlled by artificial intelligence, the first association and the second association may be updated by learning. As described above, the diagnosis result is searched based on supervised learning based on the first association, and the supplement is searched based on supervised learning based on the second association. The evaluation data reflecting the evaluation of the supplement intake person may be reflected for each of the first association and the second association. The evaluation data includes data detected through various functional group sensors, supplementary data such as body temperature, blood pressure, blood, weight, electrocardiogram, and the like for each supplement.

  The evaluation data referred to here is data reflecting impressions, word-of-mouth communication, and the like by customers who actually eat and drink at restaurants and take the supplements notified by the supplement search system 1 to which the present invention is applied. This evaluation data indicates that customers who have taken the supplements notified by the supplement search system 1 are “health improved”, “weight has been reduced”, “becomes a good night's sleep”, “morning awakening There were also positive evaluations such as “It was refreshing”, “Stiff shoulders were cured”, and “No physical condition”, “Weight increased”, “Insomnia did not heal”, “Nausea” etc. Evaluation is also included.

  If the evaluation data is temporary or long-term test data of the body, the blood test will result in a negative evaluation if the cholesterol level is greater than or equal to a predetermined threshold, and positive if it is less than the predetermined threshold. You may make it set as an evaluation. Further, a negative evaluation may be made when the increase in weight is equal to or greater than a predetermined threshold value, and a positive evaluation may be made when the weight increase is less than the predetermined threshold value.

  The evaluation data is acquired through the public communication network 4 from, for example, a questionnaire survey conducted by a restaurant, writing on a site on the Internet, writing on Twitter (registered trademark), LINE (registered trademark), or the like. Also good. Evaluation data based on the questionnaire is input by the store clerk via the operation unit 25 based on the questionnaire, and evaluation data from the public communication network 4 is acquired via the communication I / F 29.

  By the way, this evaluation data is based on the premise that food and beverages eaten and eaten at the restaurant by the customer who describes his / her impressions can be specified at least on the supplement search system 1 side. In a questionnaire survey, if a customer's name or table number is written on a questionnaire, it can be easily identified via the table number. Further, when obtaining evaluation data from the public communication network 4, it is possible to specify the table number, name, or the member number if the restaurant is a member system.

  The search unit 27 acquires such evaluation data and analyzes it. This analysis may be based on general well-known text mining techniques. Through text mining technology, it is specified whether the evaluation is positive or negative.

  The search unit 27 refers to the order information stored in the storage unit 28 by referring to the order information stored in the storage unit 28 from the food and drink of the customer as the sender and generator of the evaluation data. Through the search, it is specified which supplement is searched through the association degree of the first association or the second association. Further, it is determined whether the specified evaluation data is positive or negative.

  If the specified evaluation data is positive, it can be understood that the supplement searched by the search unit 27 and notified to the customer was appropriate for the customer. In such a case, the search unit 27 does not particularly do anything with respect to the association degree of the first association and the second association, or when actually suggesting the supplement, the association that is connected by an arrow that results in the supplement. Update to a higher degree. In the example of FIGS. 5 and 6, the diagnosis result is “high risk of diabetes”, and the selected supplement is supplement E. As a result, positive evaluation data is obtained from the customer who actually took supplement E. In the second linkage, the degree of linkage between this supplement E and “high risk of diabetes” is increased, and the linkage of nutrients leading to “high risk of diabetes” is set in the first linkage. Update to be higher.

  If the specified evaluation data is negative, it can be understood that the supplement searched by the search unit 27 and notified to the customer is inappropriate for the customer. In such a case, the search unit 27 updates the first association and the second association so as to reduce the association between the first association and the second association by the arrows that result in the supplement. To do. In the example of FIGS. 5 and 6, when the diagnosis result is “vegetable shortage” and the selected supplement is supplement B, negative evaluation data is obtained from the customer who actually took supplement B In the second association, updating is performed so that the degree of association between the supplement B and “vegetable shortage” is lowered, and the degree of association of the nutrients that lead to “vegetable shortage” is lowered in the first association.

  In this way, the search unit 27 controlled by artificial intelligence performs learning by updating the first association and the second association based on the evaluation data. By repeating such learning, it is possible to optimize the first association and the second association so that a supplement more appropriate for the customer is selected.

  In the above-described embodiment, an example is given in which the evaluation data is ranked in two stages, positive or negative, and the degree of association between the first association and the second association is changed accordingly. However, the present invention is not limited to this. For example, the evaluation data may be ranked in three or more stages, and the first association and the second association may be changed according to the ranks of the three or more stages.

  In the above-described embodiment, the case where the supplement to be selected is a so-called mixed supplement that includes a plurality of components has been described as an example. However, the present invention is not limited to this. As shown in FIG. 10, a supplement composed of a single component may be selected. Even in such a case, for example, there are vitamin C, collagen, carnitine, mineral, coenzyme, and the like as supplements composed of a single component, and the second association of these with the diagnostic result is acquired in advance. And the supplement which consists of a single component will be selected from the diagnosis result specified from the nutrient of the food / drink which the customer actually ingested based on this 2nd linkage. And this 2nd relevance will be updated based on evaluation data.

  In addition, although not shown, if the diagnosis result is “reducing appetite and suppressing excessive intake of calories”, theanine, gabba, mate extract, etc. are considered to be highly linked in the second linkage. . If the result of diagnosis is “inhibits sugar absorption in the intestine”, Gymnema, Salacia and the like are considered to be highly linked in the second linkage. If the diagnosis result is “inhibits fat absorption in the intestine”, “chitosan, saponin” is considered to have a high degree of association in the second association. If the diagnosis result is “facilitate fat excretion”, “lecithin” is considered to have a high degree of association in the second association.

  Similarly, as shown in FIG. 11, it is of course possible to select a supplement composed of a single component even when searching for a supplement directly from a deviation tendency without searching for a diagnosis result.

  In addition, when a supplement is provided to a customer through the above-described supplement bar or supplement vending machine 8, a supplement composed of the selected single component may be provided in the same manner.

  In the above-described embodiment, the case where the search for supplements is performed by the search unit 27 in the central control terminal 2 installed in the store has been described as an example. However, the present invention is not limited to this. In the headquarters system 6 composed of the same components as the central control terminal 2, a supplement is searched for, and the central control terminal 2 acquires this via the public communication network 4 and notifies the customer or store clerk. It may be. The search for supplements performed by the search unit 27 may be performed via any other electronic device connected to the public communication network 4, or all these processes may be performed on the cloud side. Good.

  Further, storage of order information, supplement information, first association, second association, and the like is not limited to the case where the storage unit 28 stores the order information, supplement information, and the like, and may be stored in the server 5. Then, the first association and the second association stored in the server 5 are used for a supplement search in another central control terminal 2 in another restaurant connected via the public communication network 4. You may do it.

  Furthermore, according to the present invention, the same can be applied to take-out. In such a case, by inputting the order information, the optimum supplement can be immediately selected through the above-described search, and the customer can be notified of it in the same manner as described above. At this time, the nutrient for the take-out lunch, the excess or deficient nutrient, and the type of supplement to be taken by the customer may be transferred to a mobile terminal or a smartphone owned by the customer. The customer may purchase the supplement at the supplement bar in the store based on the information.

  According to the present invention, delivery and delivery of food and drinks can be similarly applied. Even in such a case, the order information is generated via the order terminal 3, and the selected supplement information may be attached to a receipt or a delivery note at the time of actual food and beverage delivery. Supplements may be delivered together.

  Also, in the provision of delivery-type food and drink, when food and drink is ordered directly from the customer's mobile terminal or the like via the public communication network 4, the central control terminal 2 receives this and receives the above algorithm. A supplement may be selected based on the selection.

  Further, in the present invention, order information and supplement information may be stored in the storage unit 28 and the server 5, and management data in units of periods such as weeks or months may be managed for each customer. In the above-described example, the optimal supplement is selected for each unit of food and drink, but it is also possible to select the optimal supplement for each period such as weekly or monthly.

  Further, according to the present invention, when a customer orders a self-order type ordering terminal 3 at a customer's seat, such as a sushi restaurant or a tavern, and the customer inputs an order directly to the ordering terminal 3, for each additional order You may make it display the excess and deficiency nutrient and the supplement which should be taken with respect to it. Moreover, you may make it transfer the excess and deficiency nutrient and supplement information currently displayed on this order terminal 3 to a customer's portable terminal, a smart phone, etc.

  In addition, when multiple customers eat and drink at the same table, the order information is also managed in units of tables, but the nutrients consumed, excess or insufficient nutrients, and supplements to be consumed are displayed for each individual customer. You may do it. Moreover, you may make it display the nutrient ingested for every order which comprises order information, an excess and deficiency nutrient, and the supplement which should be ingested.

  Furthermore, according to this invention, you may make it transmit the information of the food / drink ingested before eating / drinking in a restaurant from the customer's portable terminal with respect to the central control terminal 2. FIG. The central control terminal 2 that has received such information may add data on nutrients of food and drink such as breakfast taken in advance, for example, when tabulating the nutrients taken by the customer. The nutrient data of the food and drink ingested in advance is obtained by acquiring the name of the food and drink, and reading the data of the nutrient corresponding to this from the data stored in the storage unit 28 in the central control terminal 2. Alternatively, it may be acquired via the public communication network 4.

DESCRIPTION OF SYMBOLS 1 Supplement search system 2 Central control terminal 3 Order terminal 4 Public communication network 5 Server 6 Head office system 7 Store POS system 8 Supplement vending machine 9 Kitchen notification part 21 Internal bus 23 Display part 24 Control part 25 Operation part 26 In-store communication part 27 Search unit 28 Storage unit

The supplement search system according to the first aspect of the present invention obtains in advance a totaling means for totaling the intake of nutrients ingested based on an inputted food and drink order, a total value of the intake totaled by the totaling means, An analysis means for analyzing a deviation tendency from the ideal value of a certain intake amount, and an association supplement database in which associations including association degrees of three or more levels of the deviation tendency and the type of supplement to be supplemented are stored in advance; And searching means for searching for one or more supplements based on the divergence tendency analyzed by the analysis means with reference to the association stored in the association supplement database.

The supplement search system according to the second aspect of the present invention obtains in advance a totaling means for totaling the intake of nutrients ingested based on an inputted food and drink order, a total value of the intake totaled by the totaling means, An analysis means for analyzing a deviation tendency from an ideal value of a given intake, and a first relevance including a degree of association of three or more stages between a deviation tendency analyzed by the analysis means and a previously classified diagnosis result, In addition, an association supplement database that stores second associations including three or more degrees of association between the categorized diagnosis results and the types of supplements to be supplemented, and a first stored in the association supplement database. Search for one or more diagnosis results that are highly correlated with the tendency of divergence analyzed by the analysis means with reference to the association, and in the association supplement database Refers to the second relevancy being 憶, characterized in that it comprises a search means for searching for one or more diagnostic results and associated highly 1 or more supplements that the search.

Supplements search system according to the eighth invention, Oite the second shot Akira, further comprising attribute information input means for attribute information of the customer is entered, the association supplement database, the diagnostic result and attribute information described above typify And the second association with the type of supplement to be replenished, the second association stored in the association supplement database is referred to, and the searched one or more diagnosis results and the attribute information input means Searching means for searching for one or more supplements highly related to the input attribute information is provided.

The supplement search system according to the first aspect of the present invention obtains in advance a totaling means for totaling the intake of nutrients ingested based on an inputted food and drink order, a total value of the intake totaled by the totaling means, An analysis means for analyzing a deviation tendency from the ideal value of a certain intake amount, and an association supplement database in which associations including association degrees of three or more levels of the deviation tendency and the type of supplement to be supplemented are stored in advance; refers to the association of which is stored in the associated supplement database, based on the analyzed variance tendency by the analysis means, characterized in that it comprises a search means for searching for one or more supplements.

The supplement search system according to the second aspect of the present invention obtains in advance a totaling means for totaling the intake of nutrients ingested based on an inputted food and drink order, a total value of the intake totaled by the totaling means, An analysis means for analyzing a deviation tendency from an ideal value of a given intake, and a first relevance including a degree of association of three or more stages between a deviation tendency analyzed by the analysis means and a previously classified diagnosis result, and a linkage supplement database second relevancy containing 3 or more stages association degree between types of supplements should be supplemented with a diagnosis result of the above typified is stored, the stored in the associated supplement database first One or more diagnostic results that are highly correlated with the divergence tendency analyzed by the analysis means are searched with reference to one association, and the association supplement database is searched. Referring to the second relevancy stored in, characterized in that it comprises a search means for searching for one or more diagnostic results and associated highly 1 or more supplements that the search.

The supplement search system according to an eighth aspect of the present invention further comprises attribute information input means for inputting customer attribute information in the second aspect of the invention, wherein the association supplement database includes the categorized diagnosis result and attribute information, and supplementation. second association with the types of should do supplements are stored, with reference to the second relevancy stored in the associated supplement database, entered by one or more diagnostic results and the attribute information input means and the search And a search means for searching for one or more supplements highly related to the attribute information.

Claims (11)

A counting means for counting the intake of nutrients taken based on the order of the input food and drink;
An analysis means for analyzing a deviation tendency between the total value of the intake totaled by the totalization means and the ideal value of the intake acquired in advance;
An association supplement database in which the association between the divergence tendency and the type of supplement to be supplemented is stored in advance;
A supplement search system, comprising: search means for searching for one or more supplements based on the divergence tendency analyzed by the analysis means with reference to the association stored in the association supplement database. A counting means for counting the intake of nutrients taken based on the order of the input food and drink;
An analysis means for analyzing a deviation tendency between the total value of the intake totaled by the totalization means and the ideal value of the intake acquired in advance;
The first association between the divergence tendency analyzed by the analysis means and the previously classified diagnosis result, and the second association between the typed diagnosis result and the type of supplement to be supplemented are stored. Linked supplement database,
One or more diagnosis results that are highly correlated with the tendency of deviation analyzed by the analysis means are searched with reference to the first association stored in the association supplement database, and stored in the association supplement database. A supplement search system comprising: search means for searching for one or more supplements having high association with one or more diagnosis results searched for with reference to the second association. Equipped with vending machines that contain multiple types of supplements,
The supplement search system according to claim 1 or 2, wherein the vending machine acquires information about the supplement searched for by the search means, and carries out the searched supplement based on the information. The supplement search system according to any one of claims 1 to 3, wherein the search means is controlled by artificial intelligence. It further comprises an evaluation data extracting means for extracting evaluation data reflecting the evaluation result of the supplement,
The supplement search system according to claim 4, wherein the artificial intelligence that controls the search means reflects the evaluation data extracted by the evaluation data extraction means in each association. The supplement search system according to any one of claims 1 to 5, further comprising supplement notification means for displaying, printing, or transmitting the supplement searched for by the search means to a mobile terminal of a customer. . It further comprises attribute information input means for inputting customer attribute information,
The supplement search system according to any one of claims 1 to 6, wherein the analysis means reflects the attribute information input by the attribute information input means to an ideal value of nutrient intake. It further comprises attribute information input means for inputting customer attribute information,
In the association supplement database, the second association between the typed diagnosis result and attribute information and the type of supplement to be supplemented is stored,
A search for referring to the second association stored in the association supplement database and searching for one or more supplements having high association with the searched one or more diagnosis results and the attribute information input by the attribute information input means. The supplement search system according to any one of claims 1 to 6, further comprising: means. It further includes an order terminal for inputting food and drink orders,
The supplement search system according to any one of claims 1 to 7, wherein the counting means totals the intake taken based on the order of food and drink input via the order terminal. Aggregation step for aggregating the intake of nutrients ingested based on the order of the input food and drink,
An analysis step for analyzing a deviation tendency between the total value of the intake totaled by the above-mentioned totalization step and the ideal value of the intake acquired in advance;
Refer to the association stored in the association supplement database in which the association between the divergence tendency and the type of supplement to be supplemented is stored in advance, and based on the divergence tendency analyzed in the analysis step, one or more supplements are added. And a search step for searching for a supplement. Aggregation step for aggregating the intake of nutrients ingested based on the order of the input food and drink,
An analysis step for analyzing a deviation tendency between the total value of the intake totaled by the above-mentioned totalization step and the ideal value of the intake acquired in advance;
Refer to the association stored in the association supplement database in which the association between the divergence tendency and the type of supplement to be supplemented is stored in advance, and based on the divergence tendency analyzed in the analysis step, one or more supplements are added. A supplement search program characterized by causing a computer to execute a search step for searching.

Images