JP6112591B1 - Creative crop supply system - Google Patents

Abstract

An intake search system, an intake search method, and an intake search program capable of searching for an optimal intake that should be taken to improve health based on nutrients that are excessive or insufficient for a user. provide.
A totaling unit that totals the amount of nutrients corresponding to input user information; an ideal value acquisition unit that acquires an ideal value of the nutrient; a total value of the nutrient that is totaled by the totaling unit; Analyzing means for analyzing a deviation tendency from the ideal value of the nutrient acquired by the ideal value acquiring means, and an association having at least three levels of association between the deviation tendency and the type of the intake to be supplemented It comprises: a stored linked intake database; and a search means for searching for one or more intakes based on the divergence tendency with reference to the linkage stored in the linked intake database. .
[Selection] Figure 1

Description

The present invention relates to a preferred ingesta search system in order to notify the optimum ingesta based on nutrients to be excessive or insufficient user.

  Due to the recent increase in health orientation, attention has been focused on methods of maintaining health by restricting meals and exercising more than a certain amount based on ideal nutrient values. In addition to dietary restrictions and exercise, supplements and other supplements are used to efficiently compensate for nutrient deficiencies.

  For example, 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.

  2. Description of the Related Art Conventionally, there has been proposed a supplement blending system that can determine supplements necessary for a user, 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 disclosure techniques of Patent Documents 1 to 3, the nutrients corresponding to each meal or exercise are tabulated, and based on the nutrients that are excessive or insufficient for the user, an optimal supplement for maintaining a healthy state There was a problem that it was not possible to select ingestions such as.

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 object of the present invention is based on the nutrients that are excessive or insufficient for the user, and the optimal intake that should be taken for improving the health condition. to provide a ingesta search system capable of searching an object.

The intake search system according to the first invention is tabulated by a tabulating unit that tabulates the amount of nutrients corresponding to input user information, an ideal value acquiring unit that acquires an ideal value of the nutrient, and the tabulating unit. The analysis means for analyzing the deviation tendency between the aggregate value of the nutrients and the ideal value of the nutrients acquired by the ideal value acquisition means, and the three or more levels of linkage between the deviation tendency and the diagnosis results classified in advance. An associated ingestion database in which a first association having a degree, and a second association having three or more degrees of association between the categorized diagnosis result and the type of intake to be supplemented, are stored, and The first association stored in the associated intake database is referenced to search for one or more diagnosis results that are highly related to the above-described divergence tendency and the second association stored in the associated intake database. Referring to sex, and search means for searching the association highly 1 or more ingesta with one or more diagnostic result of the search, the evaluation data extracting means for extracting evaluation data evaluation result of the ingesta is reflected comprises, the search means is controlled by artificial intelligence, artificial intelligence for controlling said search means, the evaluation data extracted by the evaluation data extracting means and said Rukoto is reflected in each of associativity .

Ingesta search system according to the second invention, Oite the first shot bright, the deviation tendency is analyzed by the analyzing means, the user, further comprising a notifying means for notifying the user terminal owned by .

Ingesta search system according to the third invention, in the second invention, the notification means, based on the variance tendency, characterized in that the broadcast information about the eating habits improved.

  According to the present invention having the above-described configuration, it is possible to search for an optimal intake that should be ingested for improving the health condition based on nutrients that are excessive or insufficient for the user.

  That is, it is possible to easily supplement excess or deficient nutrients for each meal or exercise. As a result, the user can efficiently ingest nutrients close to the ideal value. Moreover, it is possible to analyze such nutrients and search for an optimal intake every time a meal or exercise is performed, and to grasp nutrient information. For this reason, users should self-analyze their health, lack of nutrients, and excess nutrients to determine what is the most appropriate ingredient to consume. The time to consider each time can be greatly reduced. In addition, food stores such as convenience stores, supermarkets, or bakery stores, or restaurants such as family restaurants can differentiate food from other stores by providing food and dishes that correspond to the aggregation of such nutrients. It is possible to improve sales by planning. In addition, using a menu corresponding to the aggregation of nutrients in sports gyms, treatment esthetics, beauty salons, fitness clubs, massage shops, or various health lands, etc., it is possible to differentiate from other shops and sales. Can be improved. Further, according to the present invention, it is possible to search for an optimal intake comprehensively in consideration of the nutrients totaled when the meal or exercise is performed and the nutrients aggregated before that. . Further, in addition to the implementation of meals and exercises, it is possible to search for the optimal intake as well as the above-mentioned items such as cosmetics related to nutrients. For this reason, it is possible to improve sales in cosmetic sales stores, drug stores, and pharmacies as well. In addition to the above, ingestions can be sold, for example, at beauty salons, barber shops, nursing homes, pet shops, employee cafeterias, factories, or all other retail stores, etc. Therefore, sales promotion of ingested goods can be realized.

It is a schematic diagram which shows an example of the whole structure of the intake search system to which this invention is applied. It is a schematic diagram which shows another example of the whole structure of the intake search system to which this invention is applied. It is a flowchart which shows an example of operation | movement of the intake search system to which this invention is applied. It is a figure which shows an example which acquires user information. It is a figure which shows an example of the total value of a nutrient. It is a figure which shows an example of the deviation tendency of the total value of a nutrient, and the ideal value of a nutrient. 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. It is a figure which shows an example which displays the foodstuff and cooking which are recommended. It is a figure which shows an example of a user terminal and health information. It is a figure which shows an example which displays the information based on the result of a deviation tendency.

  Hereinafter, the ingestion search system 100 to which the present invention is applied will be described in detail with reference to the drawings.

  The intake search system 100 searches for an optimal intake based on user information input by a user or the like. The user information includes food information indicating food items purchased or ordered by the user and health information indicating exercise performed by the user, and includes information on items such as cosmetics related to nutrients, for example. In addition, the ingestion may include foods such as foods, beverages and supplements, cosmetics related to nutrients, and pharmaceuticals, for example, anything taken from the mouth.

  FIG. 1 is a block diagram showing the overall configuration of an ingestion search system 100 to which the present invention is applied. The intake search system 100 includes a central control terminal 1 and a user terminal 2 connected to the central control terminal 1 via a public communication network 4. The central control terminal 1 may be connected to the server 3 via, for example, the public communication network 4.

  The public communication network 4 is an Internet network or the like to which the central control terminal 1 or the like is 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 1 is a terminal that is installed in a company that operates the ingestion search system 100 and can be operated by an administrator or the like, and is mainly composed of electronic devices such as a personal computer (PC). In addition to the PC, the present invention may be embodied in any other electronic device such as a mobile phone, a smartphone, a tablet terminal, and a wearable terminal.

  The central control terminal 1 includes a control unit 11, a totaling unit 12, an analysis unit 13, a storage unit 14, and a search unit 15. Each configuration 11 to 15 is connected to the communication I / F 19 via the internal bus 18. Connected to the internal bus 18 are a display unit 16 for displaying various information and an operation unit 17 for inputting various control commands.

  The control unit 11 is a so-called central control unit for controlling each component mounted in the central control terminal 1 by transmitting a control signal via the internal bus 18. In addition, the control unit 11 transmits various control commands via the internal bus 18 in accordance with an operation of an administrator or the like via the operation unit 17. The control unit 11 includes a CPU (Central Processing Unit) that controls the entire central control terminal 1, a ROM (Read Only Memory) that stores an operation code of the CPU, and a RAM (Random) that is a work area used when the CPU operates. Access Memory). Each function of the central control terminal 1 is realized by the CPU executing a program stored in the ROM or the storage unit 14 using the RAM as a work area.

  The totaling unit 12 acquires user information input from the user, and totals the amount of nutrients corresponding to the user information. The totaling unit 12 totals the amount of nutrients from the user information with reference to, for example, nutrient data stored in the storage unit 14. For example, the counting unit 12 acquires an image of the target object as user information. In this case, the totaling unit 12 analyzes the image and totals the amount of nutrients.

  In addition to acquiring images as user information, characters such as food names and exercise menus may be acquired. In this case, a character string is extracted from the acquired user information in any one or more units among all grammatical structural units such as words, morphemes, phrases, and clauses. Thereafter, the amount of nutrients corresponding to the extracted character string may be aggregated. The administrator or the like may confirm the user information via the display unit 16 and input the amount of nutrients via the display unit 16. The counting unit 12 may be controlled by, for example, artificial intelligence. Here, “population intelligence” may be based on any known artificial intelligence technology.

  The analysis unit 13 acquires the ideal value of the nutrient from the storage unit 14, for example, and analyzes the deviation tendency between the aggregate value of the nutrient aggregated by the aggregation unit 12 and the ideal value of the nutrient. The analysis unit 13 may be controlled by, for example, artificial intelligence.

  For example, when the storage unit 14 is configured by an SSD (solid state drive) or the like in addition to an HDD (Hard Disk Drive), predetermined information is written to each address based on control by the control unit 11. This is read as required. The storage unit 14 may store a program for executing the present invention. This program is read and executed by the control unit 11. The storage unit 14 has, for example, a database that stores ideal values of nutrients. The storage unit 14 has an associative ingestion database in which associations having three or more levels of association between the tendency of deviation and the type of ingestion to be supplemented are stored. In addition to the above, the linked ingestion database includes a first linkage having a degree of linkage of three or more levels between a divergence tendency and a previously classified diagnosis result, and an intake to be supplemented with the above classified diagnosis result. A second association having a degree of association of three or more levels with the kind of object is stored.

  The search unit 15 searches for one or more intakes based on the divergence tendency analyzed by the analysis unit 13 with reference to the association stored in the associated intake database. In addition to the above, the search unit 15 refers to the first association stored in the association intake database, and searches for one or more diagnosis results that are highly associated with the deviation tendency analyzed by the analysis unit 13. Then, the second association stored in the association intake database is referred to and one or more intakes having high association with the searched one or more diagnosis results are searched. The search unit 15 may be controlled by artificial intelligence.

  The display unit 16 is configured by a graphic controller that creates a display image based on control by the control unit 11. The display unit 16 is realized by, for example, a liquid crystal display (LCD).

  The operation unit 17 is embodied by an operation button, a keyboard, or the like, and sends various control commands to the control unit 11 in accordance with an operation from an administrator or the like.

  The communication I / F 19 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 19 converts various commands from the internal bus 18 and sends them to the public communication network 4 side. When data from the public communication network 4 is received, the communication I / F 19 performs predetermined conversion processing on the received data. Are transmitted to the internal bus 18, the control unit 11, the search unit 15 or the like.

  The user terminal 2 acquires user information and transmits it to the central control terminal 1. As the user terminal 2, a mobile phone is mainly used, and in other cases, an electronic device such as a smartphone, a tablet-type terminal, a wearable terminal, a personal computer, or the like may be used.

  The user terminal 2 is equipped with a camera function, for example. At this time, food including a lunch box, frozen food, ingredients, food at a restaurant purchased by the user is photographed by the camera function, and this image is transmitted to the central control terminal 1 as user information. In addition to images of foods, for example, images obtained by photographing menus of exercise menus such as cosmetics and sports gyms, treatment esthetic menus, and various health lands can also be used as user information. In addition to using an image captured by the user terminal 2 as user information, data obtained by directly inputting the name of a food, an exercise menu, or the amount of nutrients to the user terminal 2 may be used as user information. The central control terminal 1 receives user information and displays ingestions including, for example, optimal side dishes, foods, drinks, frozen foods, supplements, medicines, and the like based on nutrients that are excessive or insufficient.

  A predetermined database is constructed in the server 3. Information sent via the public communication network 4 is stored in this database. Further, the server 3 transmits the accumulated information to the central control terminal 1 via the public communication network 4 based on a request from the central control terminal 1. The server 3 may store data similar to that of the storage unit 14, for example.

  As shown in FIG. 2, for example, the intake search system 100 may include an intake supply device 5 and a store terminal 6.

  The ingestion supply device 5 is an apparatus in which ingestions including at least one of commercially available food products, beverages, medicines, and supplements are automatically carried out in response to the insertion of cash or payment by electronic money. The ingestion supply device 5 is preloaded with a plurality of ingestions, and is displayed in a state that is visible to the user, or an image of the ingestion is displayed on the display panel. The user pushes the button of the intake desired to be purchased, and the intake is carried out from the intake supply device 5. Incidentally, the configuration of the ingestion supply device 5 may be the same as that of a conventional vending machine.

  The ingestion supply device 5 is related to health such as convenience stores, supermarkets, bakery and other food sales stores, family restaurants and other restaurants, sports gyms, treatment esthetics, beauty salons, fitness clubs, massage stores, various health lands, etc. It can be installed at stores, cosmetics stores, drug stores, pharmacies, etc., as well as at beauty salons, barber shops, nursing homes, pet shops, employee cafeterias, factories, or all other retail stores. An installation place and a store are arbitrary. In addition, even when the store from which the ingestion is acquired is different from the store from which the user information is acquired, the user can acquire the ingestion without delay.

  The ingestion supply device 5 may be communicable with the store terminal 6, for example. The store terminal 6 may receive intake information from the central control terminal 1 and control the intake supply device 5 based on the intake information. The store terminal 6 may carry out the intake corresponding to the received intake information.

  The store terminal 6 may transmit user information including food purchased by the user and exercise menus performed by the user to the central control terminal 1 or the user terminal 2. At this time, the user can acquire the ingestion without inputting user information to the user terminal 2.

  The configuration of the ingestion supply device 5 may be omitted. That is, instead of installing the intake supply device 5, an intake sales corner may be provided in the store so that the store clerk sells the intake directly, or when the user pays in an accounting space in the store Ingestions may be sold together. In addition, a plurality of types of ingestions may be displayed in the store, and the ingestions desired by the user may be purchased freely. It goes without saying that the store side may freely set whether to provide the ingested item to the user for a fee or free of charge. Further, the ingestion supply device 5 may be installed independently of the public communication network 4.

  Next, operation | movement of the intake search system 100 to which this invention is applied is demonstrated. In the following description, supplements are used as ingestions, and food information is used as user information.

  FIG. 3 is a flowchart showing an example of the operation of the intake search system 100 to which the present invention is applied. As shown in FIG. 3, the amount of nutrients corresponding to the user information input by the user is totaled (totaling means: step S110). For example, as shown in FIGS. 4A to 4C, a user purchases food such as a lunch box at a food store such as a convenience store. The user uses a camera mounted on the user terminal 2 to photograph at least one of food, food material display, and receipt. The user transmits the captured image to the central control terminal 1. At this time, the user information may include personal information such as the age and sex of the user in addition to the captured image. For example, the control unit 11 of the central control terminal 1 stores the received user information in the storage unit 14.

  Thereafter, the counting unit 12 of the central control terminal 1 acquires the user information transmitted from the user terminal 2. The totaling unit 12 refers to the nutrient data acquired in advance from the storage unit 14 and totals the amount of nutrients corresponding to the user information. In this case, for example, a feature amount is extracted based on a luminance value or the like for each pixel of the acquired image, and the image is classified from the extracted feature amount. Thereafter, the nutrient amount of the classified image is aggregated with reference to the nutrient data. The totaling unit 12 stores the total amount of nutrients in the storage unit 14 as a total value of nutrients. At this time, the totaling unit 12 also stores, for example, personal information included in the user information in the storage unit 14.

  FIG. 5 shows an example of 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. 5, You may be comprised by what kind of other classification | category. These nutrient data to be referred to may be stored in the server 3 in addition to being stored in the storage unit 14 and may be acquired via the public communication network 4.

  Next, the ideal value of the nutrient corresponding to the nutrient aggregated by the aggregation unit 12 is acquired (ideal value acquisition means: step S120). The ideal value of the nutrient is, for example, an ideal intake of the nutrient per person, and is classified in advance by age, sex, etc. and stored in the storage unit 14 in advance. The analysis unit 13 acquires the aggregate value of the nutrient stored in the storage unit 14, and acquires the ideal value of the nutrient corresponding to the aggregated nutrient.

  In addition to being acquired from the storage unit 14, the ideal value of the nutrient may be input by the user from the user terminal 2, for example, or may be input by the administrator or the like from the operation unit 17 of the central control terminal 1, for example. Incidentally, when the ideal value of this nutrient is stored in the server 3, it may be acquired via the public communication network 4.

  Moreover, the analysis part 13 may acquire the user's personal information memorize | stored in the memory | storage part 14, for example, and may acquire the ideal value of a nutrient based on personal information. The personal information may be stored in advance as a database in the storage unit 14, for example. In this case, for example, the analysis unit 13 may acquire personal information from the database of the storage unit 14 based on information such as the address of the user terminal 2 to which the user information is transmitted.

  Next, the deviation tendency between the aggregate value of nutrients and the ideal value of nutrients is analyzed (analyzing means: step S130). The analysis unit 13 compares the acquired ideal value of the nutrient with the aggregate value of the nutrient, and analyzes the deviation tendency (excess or deficiency of the nutrient) with respect to the ideal value of the nutrient. When analyzing the deviation tendency, the analysis may be performed using any known statistical technique. As an example, as shown in FIG. 6, the difference between the aggregate value of nutrients and the ideal value of nutrients may be obtained and the tendency thereof may be bird's-eye view.

  FIG. 6 shows the aggregate value of nutrients-ideal values of nutrients in the table. “+” In this table indicates that the aggregate value of the nutrient is greater than the ideal value of the nutrient, and “+” in the table indicates that the aggregate value of the nutrient is less than the ideal value of the nutrient. ing. The analysis unit 13 analyzes the tendency of divergence from the ideal value of the nutrient with respect to the aggregate value of the nutrient by overlooking the situation illustrated in FIG. 6. The analysis unit 13 stores the analyzed divergence tendency in the storage unit 14.

  Next, one or more intakes (in this example, supplements) are searched (search means: step S140). The search unit 15 acquires the divergence tendency analyzed by the analysis unit 13 from the storage unit 14. Search 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 divergence tendency as shown in FIG. 7 and the diagnosis result categorized in advance. The search unit 15 acquires the first association from the associated intake database that the storage unit 14 has.

  The first association indicates the degree to which each diagnosis result is associated with each item of the 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 regarding iron deficiency are such that the degree of association is linked to each nutrient. For example, “energy” is an association degree of 65%, “iron” is an association degree of 94%, “zinc” is an association degree of 59%, “Copper” is set such that the degree of association is 83%. If the search unit 15 is controlled by artificial intelligence, these association degrees are weighting factors in 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 weighted for each nutrient. That is, when the search unit 15 determines whether the diagnosis result is satisfied, the search unit 15 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 degree 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 value, 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 15 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. 8 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 search unit 15 acquires the second association from the associated intake database that the storage unit 14 has.

  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 15 is controlled by artificial intelligence, these association degrees are weighting factors in performing so-called supervised learning.

  The search unit 15 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. 7, 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 15 searched for the diagnosis result via the 1st association from the divergence tendency, and the case where the supplement was searched for via the 2nd association from the diagnosis result was demonstrated as an example, it is limited to this. It is not a thing. That is, as shown in FIG. 9, 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 15 searches for one or more supplements based on the analyzed deviation tendency with reference to such association. The searched supplement is, for example, an optimal supplement that the user should take based on a diagnosis result obtained by analyzing a missing nutrient or an excess nutrient based on a food purchased by the user. Various types of information regarding the type and amount of supplement searched for by the search unit 15 are hereinafter referred to as supplement information. The search unit 15 generates the supplement information and stores it in the storage unit 14 under the control of the control unit 11.

  For example, the search unit 15 notifies at least one of supplement information, a diagnosis result, a divergence tendency, a total value of nutrients, and an ideal value of nutrients (notification unit). The search unit 15 transmits at least one of supplement information, divergence tendency, diagnosis result, aggregate value of nutrients, and ideal value of nutrients to the user terminal 2, and the user terminal 2 aggregates supplement information, divergence tendency, and nutrients. The user is notified of at least one of the value and the ideal value of the nutrient by display or the like.

  When the supplement information is notified, the user obtains the supplement with the ingestion supply device 5 shown in FIG. 2, for example, based on the supplement information, and conveys the supplement information to the store clerk handling the supplement. To get.

  When the deviation tendency is notified, the user may arbitrarily select the supplement to be acquired with reference to the supplement information and the deviation tendency. For example, it is also possible to obtain only supplements that target only nutrients with a large excess or deficiency.

  For example, using at least one of the intake information obtained by the intake search system 100, the tendency of deviation, the total value of nutrients, and the ideal value of nutrients, a dietitian or the like provides advice or consultation on improvement of eating habits to the user. (Guide of eating habits) may be performed. At this time, by using the intake search system 100, data necessary for advice and consultation can be easily collected.

  Further, instead of a dietitian or the like, artificial intelligence may be used to give advice or consultation on improving dietary habits. For example, the search unit 15 selects a menu or the like for replenishing excess or deficiency of nutrients based on the deviation tendency. In addition, the search unit 15 may collect past user information and search for foods that cause excess or deficiency of nutrients. By notifying the user of these results, improvement of the user's eating habits can be promoted. For this reason, in addition to obtaining the optimal supplement, the user can improve daily eating habits.

  For example, the user can use the user terminal 2 to give advice, consultation, and the like regarding eating habits in the form of voice or text conversation with the ingestion searching system 100. For this reason, the eating habits can be improved without worrying about time and place.

  As described above, the ingestion searching system 100 to which the present invention is applied improves the health condition based on the nutrients that are excessive or insufficient for the user using the information on the food purchased at a food store such as a convenience store as user information. You can search for the optimal intake that should be consumed. That is, it is possible to easily supplement nutrients that are excessive or insufficient for each meal. As a result, the user can efficiently ingest nutrients close to the ideal value.

  For example, the search unit 15 may transmit the supplement information to the store terminal 6 illustrated in FIG. The store terminal 6 may print a receipt or the like describing information on supplements to be supplemented by the user based on the supplement information received, or may supply supplements directly.

  Moreover, when the shop terminal 6 transmits user information to the ingestion supply device 5, the user proceeds to the ingestion supply device 5, so that the supplement to be ingested is automatically carried out.

  Instead of installing this ingestion supply device 5, a store clerk may sell supplements in the store. In such a case, the user can understand what supplement the store clerk should sell by showing the user terminal 2 that has received the supplement information or a receipt or the like describing the supplement information to the store clerk. Alternatively, the user may purchase the supplement by telling the store clerk the type and amount of supplement described in the user terminal 2 or the receipt.

  In addition, when the store terminal 6 is installed in a restaurant such as a restaurant, for example, as user information, a dish, a sample of a dish, an image of a menu taken by the user terminal 2, or data obtained by directly inputting a menu is provided. In addition to being used, order information received from a user by a store clerk may be used. In this case, the provision and sale of supplements are not limited to the case where the supplement is performed when the user returns. Since the supplement that is most suitable for the user can be selected at least when the user information is obtained, the supplement may be distributed when the user orders the menu. At this time, instead of distributing the searched supplement, the same components as the supplement may be mixed with food and drink and served to the user.

  At this time, instead of distributing the supplement at the time of the menu order by the user, the supplement information is transmitted to the user terminal 2 owned by the user, or the slip on which the supplement information is described is passed to the user, and the user takes in the in-store You may make it go to the thing supply apparatus 5 or what is called a supplement bar which can take a supplement freely, and may make it acquire a desired supplement. As shown in FIG. 10, as supplement information, a slip 119 in which supplement information including a missing nutrient and supplement to be supplemented is provided to the user, and the user confirms the supplement information described in the slip. As shown in FIG. 10, the supplement 121 to be replenished can be freely selected from the supplement bar 120 and acquired.

  Moreover, when the order method of restaurants, such as a restaurant, is performed with a self-order terminal, the supplement information searched may be displayed on the screen of this self-order terminal. The user can know the supplement to be taken from the display on the screen of the self-order terminal, and can obtain a desired supplement at a supplement bar in the store, for example.

  In this way, in the ingestion searching system 100 to which the present invention is applied, in a restaurant such as a restaurant or tavern, the user is allowed to eat as much as they like, while analyzing the nutrients of the eaten food and drink. Thus, it is possible to supplement insufficient nutrients while consuming excessive salt, fat, and calories. As a result, when the user eats or drinks at the restaurant, the user can satisfy both the sense of satisfaction and the health. Moreover, it is possible to analyze such nutrients, search for the optimal supplement, and notify the user each time when eating and drinking is performed once. For this reason, after eating as much as they like at a restaurant, the user self-analyzes their own health condition, lack of nutrients, and excess nutrients, and then the optimum should be taken 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, user attribute information may be input (attribute information input means). For example, the user inputs attribute information to the user terminal 2, and the analysis unit 13 acquires the input attribute information. Attribute information includes not only general personal information such as the user's age, gender, occupation, nationality, address, but also information about the user's body, mentality, chronic disease, obesity, thinness, pregnancy, and diet Including hypertension, diabetes, weak constitution, weakness to alcohol, arrhythmia and the like. The attribute information may include a headache, poor gastrointestinal condition, a sad state, a cold, etc. as a physical condition at the time of inputting user information. Further, as the user attribute information, for example, a DNA identification result may be used. In this case, it can be used as information with higher accuracy than general personal information such as age and sex, and it is possible to search for ingestions more suitable for the user.

  The attribute information may be preliminarily stored as a database in the storage unit 14, for example, in addition to being input by the user using the user terminal 2. In this case, for example, the analysis unit 13 or the like may acquire attribute information from the database of the storage unit 14 based on information such as the address of the user terminal 2 to which the user information is transmitted.

  When the attribute information is acquired, for example, the analysis unit 13 reflects the attribute information on the ideal value of the nutrient. That is, when the attribute information is “obese body shape”, for example, the ideal value of “lipid” in FIG. 6 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.

  Furthermore, as shown in FIG. 11, the second association between the typed diagnosis result and attribute information and the type of supplement to be supplemented may be acquired. In many cases, attribute information correlates with a diagnosis result, and supplements and associations are set. When the diagnosis result is “fat-rich”, it is assumed that supplement A is the most effective in degrading fat, and the user who is obese is more likely to have supplement A. 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 users with high blood pressure, the second association is set so that a supplement effective for high blood pressure is 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 any attribute information. As a result, an optimal supplement can be selected.

  By including the attribute information in this way, it is possible to search for an optimal supplement in relation to the nutrients ingested in the eating and drinking while taking into account the user's health condition, physical condition, chronic illness, and the like.

  According to the present invention, when the search unit 15 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. For example, evaluation data reflecting the evaluation of the supplement intake user may be extracted and reflected in the first association and the second association (evaluation data extraction means). 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 here reflects the impressions and word-of-mouth by the user who eats and drinks the foods actually purchased or ordered, and ingests the supplement notified by the ingestion search system 100 to which the present invention is applied. It is data. This evaluation data indicates that the user who has taken the supplement notified by the intake search system 100 is “health improved”, “weight has decreased”, “becomes a good night's sleep”, “morning awakening” ”Was refreshing”, “healed stiff shoulders” and positive evaluations such as “I do not feel well”, “I gained weight”, “I can't cure insomnia”, “I feel nauseous”, etc. Negative 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 sent via the public communication network 4 from, for example, a questionnaire survey conducted by a food store or a restaurant, writing on a site on the Internet, writing on Twitter (registered trademark), LINE (registered trademark), or the like. You may make it acquire. Evaluation data based on the questionnaire is input by the store clerk via the store terminal 6 based on the questionnaire, and the evaluation data from the public communication network 4 is stored in the storage unit 14 via the communication I / F 19. Is done.

  Incidentally, this evaluation data is based on the premise that the food purchased by the user who has described his / her impressions can be identified at least on the ingestion search system 100 side. For example, when the user terminal 2 that transmitted the evaluation data and the user information is the same, it can be specified by information such as the address of the transmitted user terminal 2. In a questionnaire survey at a restaurant or the like, if a user'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 15 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 15 refers to the user information stored in the storage unit 14 by referring to the user information that is the transmission source and the generation source of the evaluation data, thereby identifying the nutrients that the user has consumed, and through the above-described search, It is specified what supplement is searched for through the association degree of the first association and 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 15 and notified to the user was appropriate for the user. In such a case, the search unit 15 does not particularly do anything with respect to the association of the first association and the second association, or when actually suggesting the supplement, the association connected by the arrow that results in the supplement. Update to a higher degree. In the example of FIGS. 7 and 8, 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 15 and notified to the user is inappropriate for the user. In such a case, the search unit 15 updates the association of the first association and the second association so as to reduce the association connected by the arrow that results in the supplement when actually proposing the supplement. To do. In the example of FIGS. 7 and 8, when the diagnosis result is “vegetable shortage” and the selected supplement is supplement B, negative evaluation data is obtained from the user 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 15 controlled by the 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 supplements more appropriate for the user are 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. You may make it select the supplement which consists of a single component as shown in FIG. In such a case as well, for example, supplements composed of a single component include vitamin C, collagen, carnitine, minerals, coenzymes, and the like, and the second association of these with diagnostic results 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 user 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. 13, it is of course possible to select a supplement consisting of a single component even when searching for a supplement directly from a deviation tendency without searching for a diagnostic result.

  Further, when a supplement is provided to the user through the above-described supplement bar or ingestion supply device 5, a supplement made 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 central control terminal 1 has been described as an example. However, the present invention is not limited to this. A search for supplements may be performed in the user terminal 2 having the same components as the central control terminal 1. Further, the search for supplements performed by the central control terminal 1 may be performed via any other electronic device connected to the public communication network 4, and all these processes are performed on the cloud side. Also good. In addition, part or all of the configuration of the ingestion search system 100 according to the embodiment may be integrated into an application that can be downloaded to the user terminal 2, for example.

  In addition, the storage unit 14 is not limited to storing user information, supplement information, diagnosis results, divergence tendency, aggregated values of nutrients, ideal values of nutrients, first association, second association, and the like. Instead, it may be stored in the server 3. The first association and the second association stored in the server 3 may be used for a supplement search in another central control terminal 1 connected via the public communication network 4.

  Furthermore, according to the present invention, the present invention can be similarly applied to take-out in restaurants such as restaurants. In such a case, by inputting the order information, the optimum supplement can be immediately selected through the above-described search, and the user can be notified of it in the same manner as described above. The user may purchase a supplement at a 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, user information is input via the store terminal 6 when an order is received, and in addition to notifying the user terminal 2 of the searched supplement information at the time of actual food and beverage delivery, It may be attached to an invoice or the like, or the supplement may be delivered together.

  Also, in the provision of delivery-type food and drink, when food and drink is ordered directly from the user terminal 2 or the like via the public communication network 4, the central control terminal 1 receives this and based on the algorithm described above. You may make it search for a supplement. Also in this case, in addition to notifying the user terminal 2 of the searched supplement information, the supplement information may be attached to a receipt or a delivery note, or the supplement may be delivered together.

  In the present invention, order information and supplement information may be stored in the storage unit 14 or the server 3, and management data in units of periods such as weeks or months may be managed for each user. 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.

  In addition, according to the present invention, when a self-order terminal is installed as a method for ordering a restaurant such as a restaurant, and a user directly inputs an order to the self-order terminal, excess and deficient nutrients for each additional order, and On the other hand, supplements to be taken may be displayed. Moreover, you may make it forward the excess and deficiency nutrient and supplement information currently displayed on this self-order terminal to the user terminal 2 grade | etc.,.

  In addition, when a plurality of users eat and drink at the same table, the order information is also managed in units of tables, but the nutrients that are ingested for each user, the excess and deficiency nutrients, and the supplements to be ingested are displayed. It may be. 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 the present invention, information on food and drink taken before inputting user information may be input to the user terminal 2 and transmitted to the central control terminal 1. The central control terminal 1 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 user. The nutrient data of the food and drink taken in advance is obtained by acquiring the name of the food and drink, and reading out the nutrient data corresponding to this from the data stored in the storage unit 14 in the central control terminal 1. Alternatively, it may be acquired via the public communication network 4.

  Next, the case where an ingestion contains a foodstuff and a drink other than a supplement is demonstrated. The ingestion searching system 100 can search in the same manner as the above-described supplement even when foodstuffs and beverages are included as ingestions, and various types of information regarding the types and amounts of ingestions searched by the search unit 15 Hereinafter, it is called intake information.

  As an example of notifying the ingestion information, for example, as shown in FIG. 14A, food and beverages to be consumed by the user are displayed on the user terminal 2 that has input the user information. In this case, “Let's buy salad and tea” is displayed based on “karakage bento” input as user information. Further, for example, a deviation tendency such as “karakage bento is lacking in vitamin B1” may be displayed. For this reason, before purchasing a foodstuff, the foodstuffs and drinks which are insufficient for the foodstuff planned to purchase can be confirmed. Thereby, the purchase of food can be completed at once, and the purchase procedure can be shortened. Further, on the store side, the purchase unit price for each user increases, which can lead to an improvement in sales.

  Moreover, as shown in FIG. 14B, for example, in restaurants such as restaurants, it is possible to confirm dishes and beverages that are not enough for the food to be ordered before placing an order. Thereby, the order of dishes can be completed at once, and the order time can be shortened. Further, on the store side, the purchase unit price for each user increases, which can lead to an improvement in sales.

  Furthermore, according to this invention, you may alert | report the information regarding the improvement of eating habits based on a deviation tendency as an alerting | reporting means mentioned above. As food information, for example, a food that should be actively consumed in a user's diet, a food that should be refrained, and the like are notified. At this time, a food that supplements the nutrient deficiency is selected as a food that should be actively consumed, and a food that causes a nutrient deficiency is selected as a food that should be refrained.

  For example, using at least one of the intake information obtained by the intake search system 100, the tendency to diverge, the aggregate value of nutrients, and the ideal value of nutrients, a dietitian or the like provides advice or consultation on improvement of eating habits to the user. May be performed. At this time, by using the intake search system 100, data necessary for advice and consultation can be easily collected.

  Further, instead of a dietitian or the like, artificial intelligence may be used to give advice or consultation on improving dietary habits. In this case, for example, the user can use the user terminal 2 to give advice, consultation, etc. regarding eating habits by means of voice or text conversation with the ingestion searching system 100. For this reason, the eating habits can be improved without worrying about time and place.

  As described above, the ingestion search system 100 to which the present invention is applied includes ingestion in improving the health condition based on the nutrients that are excessive or insufficient for the user even when the ingested search includes foods and beverages. It is possible to search for the optimum intake to be performed. That is, nutrients that become excessive or deficient for each meal can be easily supplemented using food and beverages. As a result, the user can efficiently ingest nutrients close to the ideal value.

  Next, the case where the ingestion contains a medicine will be described. The ingestion searching system 100 can search in the same manner as the above-described supplements and the like even when the ingestion includes a medicinal product. Various information on the type and amount of the medicinal product searched by the search unit 15 is described below. Information.

  For example, a doctor, a pharmacist, or the like uses the drug information obtained by the ingestion search system 100, the tendency of deviation, the total value of nutrients, and the ideal value of nutrients to give advice or consultation on health maintenance to the user ( Health guidance) may be performed. At this time, by using the intake search system 100, data necessary for advice and consultation can be easily collected. In addition, before the user receives the medicine, the doctor or the like may check the medicine information or the like, and the medicine may be obtained only when the consent is obtained. Thereby, since it is not necessary to directly consult with a doctor or the like, it is possible to easily obtain a medicine even for a user who is difficult to go to a hospital.

  Moreover, instead of a doctor, a pharmacist, or the like, advice or consultation regarding health maintenance may be performed using artificial intelligence. In this case, for example, the user can use the user terminal 2 to give advice or consultation regarding health maintenance in the form of a conversation with the ingestion search system 100 by voice or text. For this reason, it is possible to improve health maintenance without worrying about time and place.

  As described above, the ingestion search system 100 to which the present invention is applied is optimal for improving the health condition based on the nutrients that are excessive or insufficient for the user even when the ingested search includes a medicine. You can search for new foods. In other words, nutrients that become excessive or deficient for each meal can be easily supplemented using pharmaceuticals. As a result, the user can efficiently ingest nutrients close to the ideal value.

  Next, a case where user information includes health information in addition to food information will be described. The intake search system 100 can search for the intake described above even when health information is included as user information.

  The health information includes information such as the user's biological information (for example, body temperature, pulse, blood pressure, etc.), sleep time, exercise information, and the number of meals. The exercise information includes, for example, the type of exercise such as running and squat, and the number of times or time when each type of exercise is performed.

  The health information is directly input to the user terminal 2 and, for example, as shown in FIG. 15 (a), the user terminal 2 (for example, a wearable terminal) that is worn by the user and can automatically monitor biological information regularly. ). In this case, the user terminal 2 may periodically transmit user information to the central control terminal 1, for example.

  The exercise information may be acquired from, for example, a sports gym used by the user. In this case, the store clerk of the gym may input exercise information to the store terminal 6, and for example, as shown in FIG. 15 (b), receives a report describing exercise information performed by the user from the store clerk. The information may be input to the user terminal 2 or taken. Further, as exercise information, for example, an image obtained by photographing a training machine may be used.

  The exercise information can be obtained at, for example, a massage shop in addition to a sports gym. In this case, it is possible to acquire the exercise information by taking or inputting the menu of the massage shop on the user terminal 2.

  According to the present invention, it is possible to obtain highly accurate deviation information by including health information in user information. Thereby, the intake search system 100 can search for a more optimal intake for the user.

  For example, using at least one of the intake information obtained from the intake search system 100, the tendency to divide, the aggregate value of nutrients, and the ideal value of nutrients, a trainer or a doctor of a sports gym advises the user about health maintenance. You may also consult. At this time, by using the intake search system 100, data necessary for advice and consultation can be easily collected. In addition, since the user terminal 2 automatically monitors the biological information periodically, it is possible to acquire data based on a time axis such as changes in the biological information before and after ingestion, so that detailed health maintenance is possible. Advice and consultation can be given.

  Moreover, instead of a trainer or a doctor, advice or consultation regarding health maintenance may be performed using artificial intelligence. In this case, for example, the user can use the user terminal 2 to give advice or consultation regarding health maintenance in the form of a conversation with the ingestion search system 100 by voice or text. For this reason, it is possible to improve health maintenance without worrying about time and place.

  For example, as shown in FIG. 16, the intake search system 100 can also display nutrients consumed by exercise by inputting the amount of exercise. For this reason, it is possible to set a goal of exercise amount based on nutrients. Thereby, an efficient exercise menu can be set. The ingestion searching system 100 may set an exercise menu that is optimal for the user based on the aggregate value of nutrients for health information and information on deviation tendency using artificial intelligence. For this reason, compared with the case where the formalized exercise menu is implemented, the user can be provided with an efficient exercise menu based on nutrients that are excessive or insufficient. In addition, it is possible to provide an exercise menu that does not bore the user as compared to the case where a formal exercise menu is implemented.

  As described above, the intake search system 100 to which the present invention is applied, even when health information is included as user information, is based on the nutrients that are excessive or insufficient for the user, and the optimal intake that should be taken to improve the health condition You can explore things. That is, nutrients that become excessive or deficient each time exercise is performed can be easily supplemented using the intake. As a result, the user can efficiently ingest nutrients close to the ideal value. In addition, even when not exercising, since biometric information and the like are included as user information, it is possible to search for an optimal intake that should be ingested for improving health based on nutrients that are excessive or insufficient for the user. . As a result, the user can efficiently ingest nutrients close to the ideal value.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 Central control terminal 2 User terminal 3 Server 4 Public communication network 5 Intake supply apparatus 6 Store terminal 11 Control part 12 Total part 13 Analysis part 14 Storage part 15 Search part 16 Display part 17 Operation part 18 Internal bus 19 Communication I / F
119 slip 120 supplement bar 121 supplement

Claims (3)

A counting means for counting the amount of nutrients corresponding to the input user information;
An ideal value acquisition means for acquiring the ideal value of the nutrient;
Analyzing means for analyzing a deviation tendency between the aggregate value of the nutrients aggregated by the aggregation means and the ideal value of the nutrients acquired by the ideal value acquisition means;
First linkage having three or more levels of linkage between the above-mentioned divergence tendency and previously classified diagnosis results, and three or more levels of linkage between the above-mentioned classified diagnosis results and the type of intake to be supplemented A linked ingestion database in which a second linkage with
The first association stored in the association intake database is referenced to search for one or more diagnosis results that are highly related to the divergence tendency and the second association stored in the association intake database. And a search means for searching for one or more ingestions that are highly related to the one or more diagnostic results searched for ,
Evaluation data extracting means for extracting evaluation data reflecting the evaluation results of the ingested substances,
Equipped with a,
The search means is controlled by artificial intelligence,
Artificial intelligence, ingesta search system characterized Rukoto reflect the evaluation data extracted by the evaluation data extracting means to said respective relevancy for controlling said search means. Ingesta search system according to claim 1 Symbol mounting the analyzed the variance tendency, the user, further comprising a notifying means for notifying the user terminal owned by the analysis means. The ingestion searching system according to claim 2 , wherein the notification means notifies information related to an improvement in eating habits based on the deviation tendency.

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