RU2685019C1 - Method and system for monitoring and compliance with nutrition recommendations at public catering enterprise - Google Patents

Abstract

FIELD: information technology.

SUBSTANCE: invention relates to systems and methods for monitoring and compliance with nutrition recommendations at public catering enterprise. Method comprises producing a set of recommendations for user nutrition, including products, dishes and beverages for consumption; then receiving a signal from a mobile communication device of a user who has entered a public catering enterprise; then determining location and identifying public catering enterprise, from which signal was sent from user mobile device; then a set of offered dishes and beverages are obtained from the database of this public catering enterprise; forming, based on catering enterprise database and a set of user recommendations for nutrition, a set of recommended and non-recommended dishes and beverages; and as a result, the set of recommended dishes and beverages formed on the previous step is directed to the mobile user communication device.

EFFECT: providing the possibility of forming a set of recommendations for simplifying the procedure of monitoring and diet compliance by patients.

5 cl, 2 dwg

Description

TECHNICAL FIELD

[001] This technical relates generally to computing technology, and in particular to systems and methods for monitoring and complying with recommendations on catering at a catering facility.

BACKGROUND

[002] Currently, there is a huge amount of advice on choosing a diet, as well as on nutrition, or, rather, on its restriction. Many diets have two unpleasant consequences. The first is the return of excess weight after the termination of the diet and this especially often happens after a quick weight loss. The second consequence is much more serious: the human body begins to suffer from a deficiency of various irreplaceable elements that it cannot synthesize on its own in the right quantities. The result of many diets are hypovitaminosis and avitaminosis, chronic dehydration, micronutrient deficiencies.

[003] There are significant technical difficulties associated with the appointment of a diet. The diet should be prescribed by an experienced dietitian who has professional knowledge of the composition of certain products, who has the principles of replacing some products with others. Experience shows that general practitioners (therapists and endocrinologists) have very general ideas about these issues. As a result, an exemplary menu-layout, taken from the nutritional guide, is offered to all patients without taking into account their food preferences and peculiarities.

[004] As a result of receiving and briefly familiarizing with the menu prepared by a nutritionist, the patient sticks to this menu for a short period of time due to the lack of willpower and temptations in a delicious meal. Moreover, being at catering establishments, which can be restaurants and cafes, the patient neglects his diet because of the available abundance of tasty dishes and drinks, many of which are not recommended and can lead to diseases such as gastritis or ulcer. Thus, such a diet does not lead to the formation of nutritional skills, therefore, after stopping treatment, recurrence of overweight is observed with a frequency of 90-95%.

SUMMARY OF INVENTION

[005] This technical solution is aimed at eliminating the disadvantages inherent in the solutions known from the prior art.

[006] A technical problem or, in other words, a technical problem solved in this technical solution is the control and observance of recommendations on nutrition at a catering enterprise.

[007] The technical result manifested in solving the above technical problem is to simplify the procedure for monitoring and adherence to the diet by patients.

[008] This technical result is achieved through the implementation of the method of monitoring and compliance with the recommendations on nutrition at a catering enterprise, in which they receive a set of recommendations on the nutrition of the user, including foods, meals and drinks for consumption; then a signal is received from the mobile communication device of the user who has visited the catering enterprise; then determine the location and identify the catering enterprise from which the signal was sent from the user's mobile device; then, from the database of the given public catering establishment, a set of the proposed dishes and drinks; then, based on the catering database and a set of user recommendations on nutrition, a set of recommended and non-recommended meals and drinks is formed; and as a result, they direct the set of recommended dishes and drinks formed at the previous step to the user's mobile device.

BRIEF DESCRIPTION OF THE DRAWINGS

[009] The features and advantages of this technical solution will become apparent from the detailed description below and the accompanying drawings, in which:

[0010] FIG. 1 shows an exemplary embodiment of the method of monitoring and compliance with the recommendations on nutrition at a catering enterprise, made in the form of a flowchart;

[0011] FIG. 2 shows an exemplary embodiment of a system for monitoring and adhering to nutrition recommendations at a catering establishment;

DETAILED DESCRIPTION OF THE TECHNICAL SOLUTION

[0012] This technical solution may be implemented on a computer or other data processing device in the form of an automated system or computer-readable media containing instructions for performing the above method.

[0013] The technical solution may be implemented as a distributed computer system, the components of which are cloud or local servers.

[0014] In this solution, a system is a computer system or an automated system (AC), a computer (electronic computer), a CNC (numerical control), a PLC (programmable logic controller), a computerized control system, and any other devices capable of a given, well-defined sequence of computational operations (actions, instructions).

[0015] A command processing device is an electronic unit or an integrated circuit (microprocessor) that executes machine instructions (programs).

[0016] The command processing device reads and executes machine instructions (programs) from one or more data storage devices. In the role of storage devices can act, but not limited to, hard drives (HDD), flash memory, ROM (read-only memory), solid-state drives (SSD), optical drives, cloud storage.

[0017] Program - a sequence of instructions intended for execution by a computer control device or command processing device.

[0018] A catering enterprise is the general name of an organization that provides catering services through: the production of culinary products, its sales and catering services to various groups of the population.

[0019] An exemplary embodiment of a method for monitoring and adhering to nutritional recommendations in a catering enterprise, shown in flowchart form in FIG. 1 includes the following steps.

[0020] Step 101: get a set of recommendations on the user's diet, including food, meals and drinks for use.

[0021] The choice of the recommendation to be given to the user depends on what state of health he has, which can be determined on the basis of his medical record, a completed questionnaire with questions on health status, and also on the basis of laboratory or clinical studies. In some embodiments, the user's nutrition recommendations, including foods, meals, and drinks for consumption, are formed by a professional nutritionist based on the user's health status or machine learning algorithms known from the prior art through automatic processing of natural language.

[0022] Natural language processing (NLP), essentially known in the art, can be used to extract relevant terms or concepts from free-text (natural language text) clinical documents and identify their contents in a document. They can be stored in a database or other structured format (for example, XML). As an example, consider part of a medical record:

[0023] “HISTORY: 45 years old female presenting with tinnitus in the left-ear and tingling on hands” (“HISTORY: 45 years old, female, with tinnitus present in the left ear and tingling in the hands”).

[0024] NLP methods can be used to convert this text into a format that describes content (demographic data, data received, problems), detailed information (localization on the body, gender, age), alphanumeric codes for uniquely identifying concepts (for example, UMLS codes) and part of a medical record (for example, “past history”). For example, the above part of the medical record can be converted to the following:

[0025]

[0026]

[0027]

[0028]

[0029]

[0030]

[0031]

[0032]

[0033]

[0034]

[0035]

[0036]

[0037]

[0038]

[0039]

[0040]

[0041] This process can be performed on a large set of patient medical records. This step can be performed on all textual data contained in a laboratory information system (LIS) or a hospital information system (HIS). It is possible to limit the analyzed set of medical records to those created by a specific set of authors, for example, medical specialists. This set of authors can be a single individual, thus personalizing the proposal system. A set of authors can also be selected to get suggestions that are applicable to the relevant area of expertise. For this purpose, a set of authors may contain a set of chief physicians, a department in a hospital, a section in a department or in numerous hospitals.

[0042] The structured data elements retrieved from each document may be stored in a database. In a simple embodiment, the database contains a list of identifiers of medical records, concepts and terms contained in it, as well as their unique identifiers. Moreover, the portion of the medical record in which the term was found can be stored in a database.

[0043] If the user has an increased risk of developing or having a certain disease, he is additionally given recommendations for correcting the variable external risk factors (smoking, eating harmful products, etc.) that he is in in a state that increases the risk. For example, for type 2 diabetes, the recommendations might look like this:

[0044] "Drink coffee every day.

[0045] Daily coffee should be included in your diet, however, not exceeding the allowable rate for you.

[0046] Include fruits in your daily diet.

[0047] It is recommended to eat fruit every day. They are rich in fiber and beneficial vitamins and trace elements.

[0048] It is recommended to eat foods rich in vitamin E.

[0049] Should increase the intake of tocopherol from food. Vitamin E is a powerful antioxidant, essential for muscle tissue and the immune system. "

[0050] In more detail, formed recommendations may include providing notifications to the user regarding recommended therapeutic measures and / or other options for action regarding health and / or diet related goals. Notifications of recommendations can be provided to the user via an electronic device (for example, a personal computer, mobile device, tablet, smart watch, etc.), moreover with a display in a graphical user interface (GUI). Recommendations can be displayed in the application, in the web interface in the user's personal account, in a SMS message or a PUSH notification. In one exemplary implementation, a web interface of a personal computer or laptop associated with a user may provide the user with access to a user account, in which the user account includes information about the user data, detailed information about the user's medical records, and recommendation notices. In another embodiment, an application running on a personal electronic device (for example, a smartphone, smart watch, smart device on the head) can be configured to provide notifications (for example, on the display or sound, etc.) regarding the recommendations on the user's power, including food, meals and drinks for use, obtained in this step. Notifications may additionally or alternatively be provided directly through the person associated with the user of the system (for example, spouse, health worker, etc.). In some additional embodiments, notifications may additionally or alternatively be provided to a person (for example, a health professional or a nutritionist) associated with a user, in which a person can influence the implementation of recommendations (for example, through a prescription, through a therapy session, etc. .). However, recommendations and notifications about them can be provided to the system user in any other suitable way.

[0051] In this invention, recommendations may contain preferred lists of products, the consumption of which reduces the likelihood of cancer or weight loss. In some embodiments, the implementation of the recommendations can be formed in a data structure such as a list, table, tree, etc., without being limited to. Also, each dish or drink can be described through the composition of the component, their quantity, brands, as well as nutritional value.

[0052] In some embodiments, the implementation of the recommendations can be formulated more generally:

[0053] - reducing fat intake to no more than 30% of total calorie intake, followed by a reduction in fat intake to less than 10% of total calorie intake;

[0054] - eating fruits, vegetables, and cereals (wholemeal flour), dietary fiber, bran;

[0055] - use of plant products containing retinoids - Vitamin A, carotenoids and natural dietary anti-cancer products: green, yellow-faceted and yellow-orange vegetables and fruits, phytoestrogenic products, products containing organic sulfur - garlic and phenolic compounds;

[0056] - eating table salt no more than 0.5 grams per day;

[0057] - moderate alcohol consumption, if possible, total abstinence.

[0058] In some embodiments of this technical solution, nutritional recommendations may contain specific numerical values for dishes and products, and given for each day and / or month and / or year.

[0059] A set of products for a weekly diet to nourish the user may include flour, wholemeal grits, vegetable oil, boiled vegetables, and rosehip flour is used as flour, buckwheat is used as cereal, and it additionally contains: bran, green tea, wholemeal bread, beans, lentils, shiitake and mantaqi mushrooms fresh and dried, fresh salmon, not hatchery chickens, onion, garlic, carrot, celery, dill, parsley, wormwood, blueberry, grapes, pineapple, papaya, lemon, orange, olive oil, protein Chanel cabbage, as boiled vegetables use: Brussels sprouts, cauliflower, broccoli, red beets, not bitter pepper (red, yellow, green), with the following ratio of components, g: rosehip flour - 205-210, buckwheat 340-350 , bran 65-70, green tea 32-35, wholemeal bread 980-1000, beans 190-200, lentils 190-200, shiitake and mantaki mushrooms fresh 290-300 and dried 145-150, fresh salmon 290-300 , chickens not incubator 140-150, onions 190-200, garlic 90-95, carrots 1450-1500, tomatoes 1450-1500, cabbage 450-500, Brussels sprouts 450-500, flowers Naya cabbage 450-500, broccoli 290-300, red beet 470-500, pepper not bitter (red, yellow, green) 340-350, celery 18-20, dill 18-20, parsley 18-20, wormwood 18-20 , blueberries 380-400, grapes 380-400, pineapple 2600-2700, papaya 2400-2450, lemon 240-250, orange 260-270, olive oil 340-350.

[0060] The basic recommendations for proper, scientifically based nutrition for some diseases may be as follows:

[0061] - it is necessary to include raw foods in the diet;

[0062] - minimum heat treatment;

[0063] - eliminate canned foods from consumption;

[0064] - be sure to include dietary fiber in the diet;

[0065] - normalization of the work of the intestine; [0066] - drinking purified water.

[0067] From the prior art, a means for the prevention and treatment of malignant neoplasms is known, which is an alcoholic tincture of herbs with antitumor activity and herbs that have a general strengthening effect on the body and stimulate the immune system and tone the body. As part of the dietary recommendations, such products may include the following herbs: calamus calamus, calendula, dog rose, knotweed, immortelle, viburnum, martin root, St. John's wort, horsetail, pink wine, blueberry, black currant, horse sorrel, black mulberry, celandine, hawthorn , comfrey, licorice, chaga, silverweed upright and garlic.

[0068] Step 102: receive the signal from the mobile communication device of the user who has entered the catering facility.

[0069] To mobile user communication devices 210, as shown in FIG. 2, may include electronic devices of a wide range of varieties, including, but not limited to, mobile phones, smartphones, PDAs (Personal Data Assistant) and similar devices that use various communication technologies, such as AMPS (Advanced Mobile Phone System - advanced mobile telephony system), TDMA (Time Division Multiple Access -multi-station (multiple) access with time division multiplexing), CDMA (Code Division Multiple Access- Multiple access with code division multiplexing), GSM (Global System For Mobile Communications - global GPRS (General Packet Radio Service - general purpose packet radio), EV-DO or 1 × EV-DO (Evolution-Data Optimized - evolved optimized data transmission) and UMTS (Universal Mobile Telecommunications System) network). The user’s mobile communication device also includes hardware and software designed to support the functions used for wireless communication with the system 200. Such hardware may include a receiver, transmitter, central processor, storage device in the form of volatile or non-volatile memory, I / O devices, etc.

[0070] After the user has visited a catering establishment, which may be a restaurant, he sends a signal to his system 200 from his mobile communication device 210, which may be a smartphone, as shown in FIG. 2. The method of generating this signal can be any known from the prior art. For example, in some embodiments, the implementation of the signal is sent from the user's mobile device after reading a two-dimensional code located on the restaurant menu, or the front door, or another sign in the institution, without being limited. The two-dimensional code can be a bar code, which can be performed, for example, by direct thermal printing, heat transfer, matrix transfer, marking, for example, by a laser method, in particular, using an YAG aluminum-yttrium garnet (YAG) laser, or ultraviolet laser. If necessary, the barcode may contain encrypted data.

[0071] In some embodiments, a two-dimensional code may be of a digital type, for example, in the form of European International Code EAN8, European International Code EAN13, Universal Product Code UPC, or International Standard Book Number ISBN, or alphanumeric type, for example, in Code Code 39 or Code 128.

[0072] The barcode may be a two-dimensional code, for example, the type of PDF 417, DataMatrix, Maxicode, or QR Code.

[0073] In other embodiments, the signal is sent to system 200 by sending them a message and / or publishing a photo to a social network (for example, Foursquare ™) that it is located in a specific geographic point of the globe. This network using GPS determines the location of the user, and he puts a mark on the map - check.

[0074] In other embodiments, the signal is sent to system 200 by automatically connecting a mobile user communication device 210 to a wireless network, such as Wi-Fi, at a catering establishment. Similarly, a signal can be sent when a user connects to the institution’s network through two-factor authentication with the introduction of a phone number or email.

[0075] In some embodiments, instead of a catering company, a specially equipped stationary building or its part can be used for retail sale of goods and services to customers and provided with commercial, utility, administrative and household premises, as well as rooms for receiving and storing goods and preparing them for sale - warehouses.

[0076] Step 103: locate and identify the catering enterprise from which the signal was sent from the user's mobile device.

[0077] In this step, the location server 220 polls the Wi-Fi infrastructure of the catering facility through a third-party server. Typically, the catering infrastructure of the Wi-Fi is provided by a third-party company, and therefore, the location server 220 polls the third-party server, which in turn requests data, such as location data, associated with all devices 210 that could move with the last time you requested a survey. Usually, a third-party server polls the Wi-Fi infrastructure of catering establishments periodically or regularly. The server may poll the catering Wi-Fi infrastructure approximately every 15 seconds. However, while the polling may be periodic, the received data about the location of each mobile communication device 210 of the user is usually irregular in nature. This is due to the fact that the Wi-Fi infrastructure of the catering enterprise does not control whether it receives a signal from the user's communication device 210. For example, if the device is temporarily turned off, when the device is turned off by the location server 220, the location data of this device will not be received. .

[0078] The third-party server performs the triangulation of devices 210 at the moment when the devices use a Wi-Fi network or only read the two-dimensional code of the given enterprise. The third-party server performs this using well-known triangulation methods that are familiar to those skilled in the art. The third-party server sends location information to the location server of each mobile device that was discovered by the third-party server. This allows the location server 220 to receive data associated with all devices that have moved since the last polling request.

[0079] The quality of data received from a third-party server may be determined based on the accuracy rate provided by the third-party provider. Data quality can be determined based on signal strength, or the number of access points each device can see, or both.

[0080] In addition, location data may have timestamps. This provides additional data indicating when the location data of a particular user communication device was determined. System 200 can determine the frequency of detection of user communications devices by comparing the time stamp of consecutive messages with location data using location server 220.

[0081] The third-party server then sends the primary or, in other words, raw data about the user's location to the location server 220. The raw location data may include absolute location data for each user device, i.e. the longitude and latitude of each device in the catering facility, or, in other words, the x and y coordinates of the devices. The typically received location data of each device does not depend on the location of the access point with which each device communicates. In this regard, the received data on the location of each device can be independent of the location of each access point within the range of the signal.

[0082] In some embodiments, the location server 220 receives triangulation data from a third-party server that identifies the location of all mobile devices in the catering facility that are active. This can be done every 15 seconds, but it can be more or less the specified value. After the server has received the user's location data, the location server can determine the user's path, given by the received location data and the associated order data defining the many way points. Location server 220 compares a particular user path with one or more predefined user paths. The location server 220 then processes the received location data depending on the result of the comparison.

[0083] In some embodiments, the primary data received by location server 220 may be combined or associated with zone information to transmit additional data about it. This is done by determining whether each device is within the boundary defining a specific zone. If it is determined that a particular device is in a specific area (for example, a non-smoking room), then the location data associated with that device is also associated with the area in which the device is located.

[0084] For example, location server 220 may compare location data, i.e., device coordinates with coordinates defining a zone. If it is determined that a user communication device is located within the boundary of the polygon defining the area in question, then the location server 220 associates this area with the data structure for each device.

[0085] The combined or associated data may be referred to as contextual data. This data is combined by the server and then stored in a memory located in the data structure (and preferably in a database). For each device detected there is a data structure. This data structure contains the coordinates of this device, for example, the abscissa (for example, x coordinate) and the ordinate (for example, y coordinate).

[0086] In other words, each device is associated with a zone at each detected catering location. Usually many devices are associated with each zone.

[0087] Step 104: get a set of dishes and drinks from the database of the catering establishment.

[0088] The data representing a set of proposed dishes and beverages in data storage 230 may be accessible via DBMS 240. DBMS 240 may contain one or more programs that control the organization, storage, management, and retrieval of data in a database. DBMS 240 may receive requests for access to information in the database, generated, for example, in a mobile application based on its power recommendations, and may perform the operations necessary to provide this access. The access used here may include reading data, writing data, deleting data, updating data, a combination, including two or more of the actions mentioned above, and the like.

[0089] The database stored in data storage 230 may be a relational database, an object-oriented database, a hierarchical database, a network database, other types of databases, some combination or extension of the above, and the like. The data, which is a set of dishes and drinks offered and stored in a database, can be organized in the form of tables, records, objects, other data structures, etc. Data can also be stored in special database files, special hard disk partitions, HTML files, XML files, spreadsheets, flat files, document files, configuration files, other files, etc. A database can refer to a read-only data set, or be able to read and write a data set.

[0090] In describing aspects of the invention described herein, for simplicity, terminology associated with relational databases is sometimes used here. Although the terminology of relational databases is sometimes used here, the disclosed ideas can also be applied to other types of databases, including those previously mentioned.

[0091] The source (s) 250 of data enrichment (enrichment) may include any other entity that is able to supply data. For example, a data enrichment source (s) 250 may include a service that receives data (for example, a country code) and provides data (for example, information about new dishes from this country's cuisine) in response to this. In some embodiments, if the catering company is a branch of a chain of restaurants, assortment and menu data are obtained from the parent company database. As another example, a data enrichment source (s) 250 may include a service that provides recipes to a chef at a catering establishment. Each source of data enrichment can be implemented through a process executed by one or more computers.

[0092] The database stored in data storage 230 may be replenished by enrichment source (s) 250. The DBMS 240 may receive data from the data enrichment source (s) 250 and make the data be presented (for example, to the user's mobile application) as if it originated from a database managed by the DBMS 240. The data received from the source (sources ) 250 data enrichment, sometimes referred to as data enrichment. For example, DBMS 240 may use the ingredient information found in the database to obtain information about a dish from a data enrichment source. Information about the dish or beverage can be accessed through one or more columns of the table, open DBMS 240.

[0093] The DBMS 240 may store information that shows the data enrichment that is to be provided with the database of the data warehouse 230. When providing data from a database, DBMS 240 may also make data replenishment available.

[0094] The set of dishes and drinks of this catering establishment may have the following appearance.

[0095] Cold Appetizers:

[0096] Salad is pink

[0097] University Salad

[0098] Grated carrots with apples

[0099] Jelly govyaz. with horseradish

[00100] Beef Salad without Egg

[00101] Beef w / c

[00102] Ham with greens

[00103] Sandwich with pink salmon

[00104] First dishes:

Lithuanian rice soup

Milk soup for m / b

Carrot cream soup with croutons

Schi from kvash. cabbage

[00105] Main dishes:

[00106] Schnitzel from gov. 3-47

[00107] Schnitzel govyaz. 4-32

[00108] Meatloaf with Egg

[00109] Lamb chops

[00110] Boiled sausages

[00111] Fried Chicken

[00112] Fish chops from Amur

[00113] Grilled Pollock

[00114] Testa fried

[00115] Their casserole from estimates

[00116] Drinks:

[00117] Pomegranate Juice Drink

[00118] Juice Stationary.

[00119] Cocoa with milk

[00120] Tea

[00121] In some embodiments of the present invention, a set of dishes and beverages of a catering establishment contains an image and description for each position.

[00122] Step 105: based on the catering database and a set of user recommendations on nutrition, a set of recommended and recommended dishes and drinks is formed.

[00123] Prior to forming a set of recommended and non-recommended meals and drinks, entities are compared from two knowledge bases, one of which is nutrition recommendations, for example, from a nutritionist, and the other is a database of food and beverage outlets of a catering company.

[00124] In the context of this technical solution, a mapping is a triple <r, o1, o2>, where r is the identifier of the mapping rule, and o1 and o2 are information objects. If there is a specific match for some rule, which determines the degree of match, it becomes possible to process its right side, i.e. formulate a statement about the identity of the two objects. In this technical solution, fuzzy search algorithms known from the prior art (also known as similarity search or fuzzy string search) can be used.

[00125] Fuzzy search algorithms are characterized by a metric, a function of the distance between two words, which allows to evaluate the degree of similarity in a given context. A rigorous mathematical definition of a metric includes the need to meet the triangle inequality condition. In some embodiments, Hamming, Levenshtein and Damerau-Levenshtein distances may be used.

[00126] For example, if "fried food" is contraindicated to the user, then the "Tested fried" dish would be recommended for him. Comparison of terms for forming recommendations is also carried out on the composition of each dish and / or its description, since it is not correct to do this based on the name alone. For example, the dish "pink salad" does not give an understanding of the usefulness of this object.

[00129] Therefore, the algorithm for extracting information from databases and comparisons is as follows.

[00130] The preliminary step involves analyzing the input text using a parser (aka a parser) to obtain a forest of semantic-syntactic parse trees. Then they search for all the matches for the interpretation rules without object conditions, and then add the found matches to the sorted match queue. If the mapping queue is empty, the operation is completed. If the queue is not empty, at the stage of forming a set of recommended dishes and drinks from the queue, the comparison with the highest priority is taken. Then convert the right side of the corresponding rule into a set of logical statements. If successful, a search is made for new comparisons. If new mappings are found, they are added to the queue and the transition to the next step is performed.

[00131] The matching search engine makes it possible to find all the matching for the rules of interpretation. These new comparisons can be generated as comparisons for new rules of interpretation and identification, and comparisons for rules for which other comparisons have already been generated. This happens in cases when more than one information object satisfies some object condition of a rule. In this case, each object is considered as part of a separate comparison.

[00127] The two matched terms extracted by the term extraction tool may contain a plurality of words, for example, an expression or phrase containing a sequence of words. This expression may, for example, contain an adjective followed by a noun (for example, "spring salad"). It is also possible that the set of words does not constitute a fixed sequential expression. When each of this set of words is extracted from the database, the compatibility index indicates the frequency of compatibility with the second term.

[00128] In some embodiments, if the dish contains a component that is contraindicated to the user based on recommendations or is not recommended, the entire dish may be recommended or be in the appropriate risk group for consuming this dish or drink.

[00129] The correlation between terms can be uniquely preserved. This list of correlations can be filtered and stored on the basis of quantitative measures: statistical p-values, for example, calculated by means of a chi-squared test or Fisher exact test (Fisher), or Bayesian probability P (X term | term A, term B, ..., term N) (which should be interpreted as the probability that a specific term X appears, provided that we have already observed the term A, B, ..., N) in (specific catering establishments)).

[00130] Step 106: send the set of recommended dishes and drinks formed in the previous step to the user's mobile device.

[00131] In some embodiments, the technical solutions send a list of recommended foods and drinks, as well as those not recommended to the user's mobile communication device by using any acceptable wireless communication technology, such as IEEE 802.11 standard, Bluetooth, UWB, Worldwide Interoperability for Microwave Access (WiMax) ) and cellular communications protocols, such as public packet services (GPRS).

[00132] The user, having received a set of recommended dishes and drinks, forms a set of selected dishes or drinks using his mobile device, and then sends them to system 200, where the message is identified and forwarded to at least one catering server. At the same time in the data warehouse 230 note that the registration of the user in the system, which means the consent of the user to receive the order.

[00133] In the mobile device 210, the resulting set of recommended dishes and drinks is recorded in its storage module and displayed on the screen of the mobile communication device by the interface module. This set can remain on the screen of a mobile communication device until a certain key is pressed on a mobile device designed to interact with this list of recommended dishes and drinks (for example, “close”, “follow the link” or “order”), and / or exposure on the area of the screen with the active matrix intended for interaction with the object The control module showing the set of recommended dishes and drinks records the fact of user interaction with this set, and records the corresponding information in the data storage module.

[00134] At a certain point in time specified by data transfer control devices (for example, taking into account the busy network of the mobile service provider or immediately after reviewing the recommended dishes), the control module showing the set of recommended dishes and recommendations generates a message consisting of indicating the number of selected dishes and drinks from the set and the number of interactions with the data set, and transfers it to the system.

[00135] In some embodiments of the technical solution, elements from the set of recommended dishes and drinks (or not recommended) are highlighted, for example, in green, which intuitively prompts the user about recommended dishes or drinks. In other embodiments, non-recommended meals and drinks may simply not be displayed on the display of the user's mobile device.

[00136] Candy implementation details of computer systems that can perform aspects of the invention will now be described. These implementation details are provided by way of example only, and the invention is not limited to any particular implementation.

[00137] The methods described herein, actions for their implementation and various embodiments and variations of these methods and actions, individually or in combination, can be determined in accordance with computer-readable messages, materially embodied on one or more computer-readable media , for example, on non-volatile recording media, elements of storage devices on integrated circuits, or a combination thereof. Computer-readable media can be any available media that can be accessed by a data processing device. For example, but not for limitation, computer-readable media may contain computer storage devices and media used in communications. Computer storage devices include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable commands, data structures, program modules or other data. Computer storage devices include, for example, RAM, ROM, EEPROM, flash memory or memory devices using other technologies, CD-ROMs, digital versatile disks (DVDs) or other optical storage devices, magnetic cassettes, magnetic tape, magnetic memory devices disks or other magnetic storage devices, other types of volatile and non-volatile storage devices, any other medium that can be used to store the desired information and to which the computer can receive up to stupas, and any suitable combination of the above.

[00138] Computer-readable messages implemented on one or more computer-readable media can define commands, for example, as part of one or more programs that, as a result of their execution by a computer, give a command to a computer to perform one or more of the functions described here and / or various embodiments, variations, and combinations thereof. The computer-readable media on which such commands are implemented may reside on one or more components of any of the systems described herein, may be distributed over one or more such components, and may be in a transitional state between them. Various aspects of the invention may be implemented in an unprogrammed environment (for example, documents created in HTML, XML, or other formats that, when viewed in a browser program window, perform aspects of a graphical user interface (GUI) or perform other functions). Various aspects of the invention may be implemented as programmed and unprogrammed elements or as any combination thereof.

[00139] Computer-readable media can be portable, so the commands stored on them can be loaded onto any suitable computer system resource in order to implement aspects of the present invention discussed here. In addition, it should be understood that the commands stored on computer-readable media described above are not limited to commands implemented as part of an application program running on the main processing unit; rather, the instructions can be implemented as any type of machine code (for example, software or microinstruction) that can be used to program the processor to implement the aspects of the present invention discussed above.

[00140] Various embodiments according to the invention may be implemented on one or more computer systems. For example, various aspects of the invention may be implemented as specialized software running on a universal computer system, for example, on a device capable of operating a wireless system, and / or on a peripheral device. A computer system may comprise a processor connected to one or more storage devices, such as a disk drive, a memory device, or another data storage device. The storage device is typically used to store programs and data while the computer system is running. The components of a computer system may be connected by a merge mechanism, which may contain one or more data buses (for example, between components that are integrated within the same machine) and / or networks (for example, between components that reside on separate discrete machines) . The merge mechanism allows messages (for example, data transmission, commands) to be exchanged between system elements. The computer system also includes one or more input devices, such as a keyboard, a mouse, a trackball, a microphone, a touch screen, and one or more output devices, such as a printer, a display screen, a speaker. In addition, the computer system may contain one or more interfaces that connect the computer system to the communication network (additionally or as an alternative to the merge mechanism).

[00141] The network may be any suitable type of network, such as a local area network (LAN), a wide area network (WAN), an intranet, the Internet, or any combination thereof. For illustrative purposes, this example shows a limited number of devices. Devices can connect to the network through one or more servers, routers, access modules, gateways, network address translation devices, or through any suitable combination of them.

[00142] It should be understood that the invention is not limited to its implementation on any particular system or group of systems. It should also be understood that the invention is not limited to any particular distributed architecture, network, or communication protocol.

[00143] From the embodiments of the invention described herein, it will be clear to those skilled in the art that the above is merely an illustration, not a limitation, and is presented only as an example. Numerous modifications and other embodiments are within the scope of the conventional means adopted in the art and are considered to fall within the scope of the invention. The above description and drawings serve only as an example. In particular, although many of the examples presented here contain certain combinations of the method, actions, or elements of the system, it should be understood that these actions and these elements can be combined in other ways to accomplish the same goals. The actions, elements and features discussed in connection with only one embodiment are not intended to be excluded from a similar role in other embodiments.

Claims (19)

1. The method of monitoring and compliance with the recommendations on nutrition at a catering enterprise, which includes the following steps: receive a set of recommendations for the user's nutrition, including food, meals and drinks for use, generated through machine learning algorithms using automatic processing of natural language based on the user's medical card, completed questionnaire with questions on health status, as well as on the basis of laboratory, clinical studies; receive a signal from the user's mobile communication device, which is sent after the user reads the two-dimensional code located at the catering; determine the location and identify the catering enterprise from which the signal was sent from the user's mobile device; get from the database of this catering set of dishes and drinks; Based on the catering database and a set of user recommendations on nutrition, a set of recommended and non-recommended meals and drinks is formed, and analyze the input text using a parser to obtain a forest of semantic-syntactic parse trees; they search for all the mappings for the rules of interpretation according to the obtained forest, then add the found mappings to the sorted mapping queue, if the match queue is empty, the formation ends; if the queue is not empty, at the stage of forming a set of recommended dishes and drinks from the queue, the comparison with the highest priority is taken; send the set of recommended dishes and drinks formed at the previous step to the user's mobile device. 2. A method according to claim 1, characterized in that the user's mobile device is a mobile phone or tablet. 3. A method according to claim 1, characterized in that the signal from the user's mobile device is obtained by determining its location by GPS. 4. A method according to claim 1, characterized in that the signal is obtained by automatically connecting a mobile communication device to a wireless network of a catering establishment. 5. The system of monitoring and compliance with the recommendations on nutrition in catering, containing: at least one memory; at least one data display device; at least one mobile user communication device, configured to send a signal to a data processing component and receive a set of recommended food and beverage services of a catering establishment; at least one data processing component that performs the steps described in clause 1.

Images