KR20210080247A - Apparatus and method for providing optimal feeding information - Google Patents

Abstract

According to an embodiment, an individually optimized food information providing device comprises: a data obtaining unit for obtaining characteristic information and microbiome analysis result information of a target object; and a processor for determining an appropriate food for the target object based on the obtained characteristic information and microbiome analysis result information.

Description

Apparatus and method for providing optimal feeding information for each individual

It relates to an apparatus and method capable of providing food information optimized for each individual.

Recently, as the number of companion animal households has rapidly increased, the need for a feed recommendation service for companion animals is being strongly raised. As the number of types of feeds increases along with the increase of companion animal households, companions are always sensitive to feed feeding, but it is difficult to determine whether the feed is suitable for companion animals, so it is common to purchase feed based on brand recognition alone.

However, companion animals vary in types and breeds, and nutritional ingredients to be consumed vary depending on age, size, physical condition, disease, etc., so it is important for companion animals to choose a feed containing the necessary nutrients for their companion animal. It's not easy.

Therefore, research on a technology that recommends an optimized feed for each companion animal is continuing.

An object of the present invention is to provide an apparatus and method capable of providing food information optimized for each individual.

An apparatus for providing food information optimized for each individual according to an aspect includes a data acquisition unit configured to acquire characteristic information and microbiome analysis result information of a target entity, and based on the acquired characteristic information and microbiome analysis result information, the a processor for determining appropriate food for the target object; may include.

The characteristic information may include the type, breed, weight, age, sex, obesity state, disease state, blood test result, and whether or not neutralization of the individual is performed.

The processor may determine a nutritional component required for the target individual based on the acquired characteristic information and microbiome analysis result information, and determine a food composition capable of providing the determined nutritional component.

The food composition may include the type, quality, and quantity of the constituents of the food.

The processor determines the health status of the target subject based on the acquired characteristic information and microbiome analysis result information, and if the determined health status is abnormal, harmful bacteria in the target subject using the microbiome analysis result information and the type and ratio of beneficial bacteria may be determined, the type and amount of beneficial bacteria required for the target individual may be determined, and the food composition may be determined in consideration of the type and amount of beneficial bacteria required for the target individual.

An apparatus for providing food information optimized for each individual includes: an output unit for outputting the determined food information; may further include.

The food information may include food types, product information, and dietary methods.

The processor may use the learned food recommendation model to determine the optimal food for the individual from the characteristic information and the microbiome analysis result information.

According to another aspect, a method for providing food information optimized for each individual includes: acquiring characteristic information and microbiome analysis result information of a target individual; and determining an appropriate food for the target object based on the acquired characteristic information and microbiome analysis result information. may include.

The characteristic information may include the type, breed, weight, age, sex, obesity state, disease state, blood test result, and whether or not neutralization of the individual is performed.

The step of determining the appropriate food for the target individual is based on the acquired characteristic information and microbiome analysis result information to determine the nutritional component required for the target individual, and a food composition that can provide the determined nutritional component judging; may include.

The food composition may include the type, quality, and quantity of the constituents of the food.

The determining of the food composition may include determining the health state of the target individual based on the acquired characteristic information and microbiome analysis result information, and if the determined health state is abnormal, using the microbiome analysis result information It is possible to determine the type and ratio of harmful bacteria and beneficial bacteria in the target individual, determine the type and amount of beneficial bacteria required for the target individual, and determine the food composition in consideration of the type and amount of beneficial bacteria required for the target individual .

The method for providing food information optimized for each individual includes: outputting the determined food information; may further include.

The food information may include food types, product information, and dietary methods.

In the determining of the appropriate food for the target object, the appropriate food for the target object may be determined by using a food recommendation model learned to determine the optimal food suitable for the individual from the characteristic information and the microbiome analysis result information.

Based on the characteristics of the individual and the results of microbiome analysis, it is possible to recommend food optimized for each individual. Through this, the user can easily select the food of the individual.

1 is a diagram illustrating an apparatus for providing food information optimized for each individual according to an exemplary embodiment.
Fig. 2 is a diagram illustrating an apparatus for providing food information optimized for each individual according to an exemplary embodiment.
3 is a diagram illustrating a method for providing food information optimized for each individual according to an exemplary embodiment.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings. In adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, when it is determined that a detailed description of a known function or configuration related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

On the other hand, in each step, each step may occur differently from the specified order unless a specific order is clearly stated in context. That is, each step may be performed in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

The terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to intentions or customs of users and operators. Therefore, the definition should be made based on the content throughout this specification.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. The singular expression includes the plural expression unless the context clearly dictates otherwise, and the term 'comprise' or 'have' refers to a feature, number, step, operation, component, part, or combination thereof described in the specification. It is to be understood that the present invention is intended to indicate the presence of one or more other features or numbers, steps, operations, components, parts, or combinations thereof, and does not preclude in advance the possibility of addition or existence of one or more other features.

In addition, in the present specification, the classification of the constituent units is merely classified according to the main function each constituent unit is responsible for. That is, two or more components may be combined into one component, or one component may be divided into two or more for each more subdivided function. In addition to the main function in charge of each component, each component may additionally perform some or all of the functions of other components, and some of the main functions of each component are dedicated to the other components. may be performed. Each component may be implemented as hardware or software, or may be implemented as a combination of hardware and software.

1 is a diagram illustrating an apparatus for providing food information optimized for each individual according to an exemplary embodiment. The food information providing apparatus 100 (hereinafter referred to as food information providing apparatus) optimized for each individual of FIG. 1 is a device that provides food information optimized for the target object based on the characteristics of the target object and the microbiome analysis result. It may be mounted on the device or may be encased in a housing to form a separate device. The electronic device may include a personal computer, a mobile phone, a smart phone, a tablet, a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), a navigation device, an MP3 player, a digital camera, a wearable device, and the like. It may include a glasses type, a wrist watch type, a wrist band type, a ring type, an earring type, a belt type, a necklace type, an ankle band type, a thigh band type, a forearm band type, and the like. However, the electronic device is not limited to the above-described example, and the wearable device is also not limited to the above-described example.

Referring to FIG. 1 , an apparatus 100 for providing food composition information according to an exemplary embodiment may include a data input unit 110 and a processor 120 .

The data acquisition unit 110 may acquire characteristic information of the target entity and microbiome analysis result information of the target entity. Here, the individual may include people and animals that consume food (food, feed, etc.), and the characteristic information of the individual includes the type (eg, human, dog, cat, etc.), breed, weight, age, sex, and obesity of the individual. It may include status, disease status, blood test results, and whether or not neutralization surgery was performed.

For example, the data acquisition unit 110 obtains the characteristic information of the target object from a hospital (including veterinary hospital) server that measures and/or stores the characteristic information of the object, and a company server that performs microbiome analysis of the object The microbiome analysis result of the target object can be obtained from In this case, the data acquisition unit 110 may use a wired/wireless communication technology. Here, the wireless communication technology is Bluetooth (bluetooth) communication, BLE (Bluetooth Low Energy) communication, near field communication (NFC), WLAN communication, Zigbee communication, infrared (Infrared Data Association, IrDA) communication, WFD (Wi-Fi Direct) communication, UWB (ultra-wideband) communication, Ant+ communication, WiFi communication, RFID (Radio Frequency Identification) communication, 3G communication, 4G communication, 5G communication, etc. may include, but are not limited thereto.

For another example, the data acquisition unit 110 receives the characteristic information and microbiome analysis result information of the target entity from the user through a predetermined input means, and receives the characteristic information of the target entity and the microbiome analysis result information of the target entity. can be obtained.

The processor 120 may control the overall operation of the food information providing apparatus 100 .

The processor 120 may determine a food optimized for the target entity based on the characteristic information of the target entity and the microbiome analysis result information, and output the determined food information through an output means. Here, the food information includes a type of food, product information, a dietary method, and the like, and the product information may include a product name, a manufacturer, a component, a nutritional component, an additive, and the like.

According to an embodiment, the processor 120 may determine an optimized food composition suitable for the target object based on the characteristic information of the target object and the microbiome analysis result information. Here, the food composition may include the type, quality, quantity, and the like of the constituents of the food.

Nutrient components required for each individual are different depending on the characteristics of each individual, such as the type, breed, weight, age, sex, obesity status, disease status, blood test result, and whether or not neutralization surgery is performed, and/or the microorganisms present in each individual. can do. Therefore, according to an embodiment, the processor 120 determines the nutritional component required for the target object based on the acquired characteristic information of the target object and the microbiome analysis result information, and the optimal food that can provide the determined nutritional component It is possible to determine the composition, for example, the type, quality, quantity, etc. of the constituents of the food. In this case, the processor 120 may consider the components of the food that cannot be ingested for each individual type.

For example, the processor 120 may determine whether the health state of the object is normal or abnormal based on the characteristic information of the target object and the microbiome analysis result information. In addition, if it is determined that the health state of the target object is abnormal, the processor 120 determines the type and ratio of harmful bacteria and beneficial bacteria in the individual using the microbiome analysis result information, and determines the type and amount of beneficial bacteria required for the target object. can In this case, the processor 120 may consider the type and ratio of beneficial bacteria existing in the individual having a normal health state. In addition, the processor 120 may determine the optimal food composition suitable for the target object in consideration of the type and amount of beneficial bacteria required for the target object.

In addition, the processor 120 may determine the microbiome product including the beneficial bacteria required for the target object, and output the determined microbiome product information through the output means. Here, the microbiome product information may include a product name, a manufacturer, and the type and amount of microorganisms. A plurality of microbiome product information may be stored in advance in a database inside or outside the food information providing device 100, and the processor 120 may search this database to determine a microbiome product suitable for the target entity. .

When the optimal food composition suitable for the target object is determined, the processor 120 may determine the optimal food suitable for the target object based on the determined food composition. In this case, the processor 120 may consider the quality and quantity of the ingredients that help the constituents. A plurality of pieces of food information may be stored in advance in a database inside or outside the apparatus 100 for providing food composition information, and the processor 120 may search the database to determine food optimized for the target entity.

According to an embodiment, the processor 120 may determine the food optimized for the target object by using the food recommendation model.

The food recommendation model may be a machine learning model trained to determine the optimal food for the individual from the characteristic information of the individual and the microbiome analysis result information. For example, the food recommendation model may be generated in advance through machine learning based on the characteristics and microbiome analysis results of each individual for various entities, and learning data composed of the corresponding food. Here, the machine learning model is an Artificial Neural Network, Decision Tree, Genetic Algorithm, Genetic Programming, K-Nearest Neighbor, Radial Basis Function Network ( Radial Basis Function Network), random forest (Random Forest), support vector machine (Support Vector Machine), and may include deep-learning (deep-learning), and the like.

The processor 120 may periodically update the food recommendation model. For example, the processor 120 continuously collects additional learning data, for example, actual data on the target object (the result of analyzing the characteristics and microbiome of the target object, and optimal food corresponding thereto), and the collected additional training data can be used to periodically additionally learn to update the food recommendation model. By continuously updating the food recommendation model, the performance of the food recommendation model can be improved. That is, as the number of uses increases, it can learn with more data, so that the performance of the food recommendation model can be further improved as the number of uses increases.

Fig. 2 is a diagram illustrating an apparatus for providing food information optimized for each individual according to an exemplary embodiment.

Referring to FIG. 2 , the food information providing apparatus 200 may include a data acquisition unit 110 , a processor 120 , an input unit 210 , a storage unit 220 , a communication unit 230 , and an output unit 240 . can Here, since the data acquisition unit 110 and the processor 120 are the same as those described above with reference to FIG. 1 , a detailed description thereof will be omitted.

The input unit 210 may receive various manipulation signals and information from the user. According to an embodiment, the input unit 210 includes a key pad, a dome switch, a touch pad, a jog wheel, a jog switch, and a H/W button. and the like. In particular, when the touch pad forms a layer structure with the display, it may be referred to as a touch screen.

The storage unit 220 may store programs or commands for the operation of the food information providing apparatus 200 , and to determine the data input to the food information providing apparatus 200 , processed data, and food optimized for the target object. You can store the data you need.

The storage unit 220 includes a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory), and a RAM. (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read Only Memory, ROM), EEPROM (Electrically Erasable Programmable Read Only Memory), PROM (Programmable Read Only Memory), magnetic memory, magnetic disk, optical disk and at least one type of storage medium. In addition, the food information providing apparatus 200 may operate an external storage medium such as a web storage that performs a storage function of the storage unit 220 on the Internet.

The communication unit 230 may communicate with an external device. For example, the communication unit 230 transmits data input to the food information providing device 200, stored data, processed data, etc. to an external device, or various data necessary to determine food optimized for a target object from the external device. can receive

The communication unit 230 may communicate with an external device using wired/wireless communication technology. At this time, the wireless communication technology is Bluetooth (bluetooth) communication, BLE (Bluetooth Low Energy) communication, near field communication (NFC), WLAN communication, Zigbee communication, infrared (Infrared Data Association, IrDA) communication, WFD (Wi-Fi Direct) communication, UWB (ultra-wideband) communication, Ant+ communication, WIFI communication, RFID (Radio Frequency Identification) communication, 3G communication, 4G communication, 5G communication, etc. may include, but this is only an example, and , but is not limited thereto.

The output unit 240 may output data input to the food information providing apparatus 200 , stored data, processed data, and the like. According to an embodiment, the output unit 240 outputs the acquired characteristic information and microbiome analysis result information of the target entity, optimized food composition information determined through this, optimal food information, and microbiome product information, etc. The output may be performed by at least one of an auditory method, a visual method, and a tactile method. To this end, the output unit 240 may include a display, a speaker, a vibrator, and the like.

3 is a diagram illustrating a method for providing food information optimized for each individual according to an exemplary embodiment. The food information providing method of FIG. 3 may be performed by the food information providing apparatuses 100 and 200 of FIG. 1 or 2 .

Referring to FIG. 3 , the apparatus for providing food information may acquire characteristic information of a target entity and microbiome analysis result information of the target entity ( 310 ).

For example, the food information providing device obtains the characteristic information of the target object from a hospital (including veterinary hospital) server that measures and/or stores the characteristic information of the object, and the target object from a company server that performs microbiome analysis of the object A microbiome analysis result of an individual can be obtained.

As another example, the food information providing device receives the characteristic information and microbiome analysis result information of the target entity from the user through a predetermined input means, and obtains the characteristic information of the target entity and the microbiome analysis result information of the target entity. can do.

The food information providing apparatus may determine a food optimized for the target object based on the characteristic information of the target object and the microbiome analysis result information and output the determined food information ( 320 ). Here, the food information includes a type of food, product information, a dietary method, and the like, and the product information may include a product name, a manufacturer, a component, a nutritional component, an additive, and the like.

According to an embodiment, the apparatus for providing food information may determine an optimized food composition suitable for the target object based on the characteristic information of the target object and the microbiome analysis result information. Here, the food composition may include the type, quality, quantity, and the like of the constituents of the food. For example, the food information providing apparatus determines the nutritional component required for the target object based on the acquired characteristic information of the target object and the microbiome analysis result information, and an optimal food composition that can provide the determined nutritional component; For example, it is possible to determine the type, quality, quantity, etc. of the constituents of the food. In this case, the food information providing apparatus may consider the constituents of the food that cannot be ingested for each individual type.

For example, the food information providing apparatus may determine whether the health state of the object is normal or abnormal based on the characteristic information of the target object and the microbiome analysis result information. In addition, when it is determined that the health status of the target object is abnormal, the food information providing device uses the microbiome analysis result information to determine the type and ratio of harmful bacteria and beneficial bacteria in the individual, and to determine the type and amount of beneficial bacteria required for the target object. can Also, the food information providing apparatus may determine the optimal food composition suitable for the target object in consideration of the type and amount of beneficial bacteria required for the target object.

Also, the food information providing apparatus may output microbiome product information by determining a microbiome product including beneficial bacteria required for a target entity. Here, the microbiome product information may include a product name, a manufacturer, and the type and amount of microorganisms.

Also, when it is determined that the optimal food composition suitable for the target object is determined, the food information providing apparatus may determine the optimal food suitable for the target object based on the determined food composition. In this case, the food information providing apparatus may consider the quality and quantity of ingredients that help the constituents.

According to another embodiment, the food information providing apparatus may determine the food optimized for the target object by using the characteristic information of the target object, the microbiome analysis result information, and the food recommendation model.

The food recommendation model may be a machine learning model trained to determine the optimal food for the individual from the characteristic information of the individual and the microbiome analysis result information. For example, the food recommendation model may be generated in advance through machine learning based on the characteristics and microbiome analysis results of each individual for various entities, and learning data composed of the corresponding food.

The apparatus and method for providing food information according to an exemplary embodiment complete an optimal food composition suitable for a target object based on the characteristic information of the target object and microbiome analysis result information, determine the food close to the completed food composition, and You can provide that food information. In this case, if necessary, microbiome product information required for the target entity may also be provided. Meanwhile, the completed food composition may be used to newly produce food for the target entity.

And, the apparatus and method for providing food information according to an exemplary embodiment may be used in the field of animal insurance to set insurance rates. In other words, it can cause disease deceleration/increase based on customized food for each individual, and can be used to calculate insurance premiums based on this result. For example, according to the apparatus and method for providing food information according to an exemplary embodiment, a relatively lower insurance rate may be provided to an animal receiving feed than other animals.

The above-described embodiments may be implemented as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium may include any type of recording device in which data readable by a computer system is stored. Examples of the computer-readable recording medium may include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical disk, and the like. In addition, the computer-readable recording medium may be distributed in network-connected computer systems, and may be written and executed as computer-readable codes in a distributed manner.

So far, the present invention has been looked at with respect to preferred embodiments thereof. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention. Accordingly, the scope of the present invention is not limited to the above-described embodiments, and should be construed to include various embodiments within the scope equivalent to the content described in the claims.

100, 200: food information providing device
110: data acquisition unit
120: processor
210: input unit
220: storage
230: communication department
240: output unit

Claims (16)

a data acquisition unit for acquiring characteristic information and microbiome analysis result information of a target entity; and
a processor for determining appropriate food for the target entity based on the acquired characteristic information and microbiome analysis result information; containing,
Food information providing device optimized for each individual. According to claim 1,
The characteristic information includes the type of individual, breed, weight, age, sex, obesity status, disease status, blood test results, and whether or not neutralization surgery is performed,
Food information providing device optimized for each individual. According to claim 1,
The processor determines a nutritional component necessary for the target object based on the acquired characteristic information and microbiome analysis result information, and determines a food composition that can provide the determined nutritional component,
Food information providing device optimized for each individual. 4. The method of claim 3,
The food composition includes the type, quality, and quantity of the constituents of the food,
Food information providing device optimized for each individual. 4. The method of claim 3,
The processor determines the health status of the target subject based on the acquired characteristic information and microbiome analysis result information, and if the determined health status is abnormal, harmful bacteria in the target subject using the microbiome analysis result information And determining the type and ratio of beneficial bacteria, determining the type and amount of beneficial bacteria required for the target object, and determining the food composition in consideration of the type and amount of beneficial bacteria required for the target object,
Food information providing device optimized for each individual. According to claim 1,
an output unit for outputting the determined food information; further comprising,
Food information providing device optimized for each individual. 7. The method of claim 6,
The food information includes food types, product information, and dietary methods,
Food information providing device optimized for each individual. According to claim 1,
The processor uses the learned food recommendation model to determine the optimal food for the individual from the characteristic information and the microbiome analysis result information,
Food information providing device optimized for each individual. acquiring characteristic information and microbiome analysis result information of the target entity; and
determining an appropriate food for the target object based on the acquired characteristic information and microbiome analysis result information; containing,
A method of providing food information optimized for each individual. 10. The method of claim 9,
The characteristic information includes the type of individual, breed, weight, age, sex, obesity status, disease status, blood test results, and whether or not neutralization surgery is performed,
A method of providing food information optimized for each individual. 10. The method of claim 9,
The step of determining the appropriate food for the target object
determining a nutritional component necessary for the target individual based on the acquired characteristic information and microbiome analysis result information, and determining a food composition capable of providing the determined nutritional component; containing,
A method of providing food information optimized for each individual. 12. The method of claim 11,
The food composition includes the type, quality, and quantity of the constituents of the food,
A method of providing food information optimized for each individual. 12. The method of claim 11,
The step of determining the composition of the food is
The health status of the target individual is determined based on the acquired characteristic information and the microbiome analysis result information, and if the determined health status is abnormal, the harmful bacteria and beneficial bacteria in the target individual are determined using the microbiome analysis result information. Determining the type and ratio, determining the type and amount of beneficial bacteria required for the target object, and determining the food composition in consideration of the type and amount of beneficial bacteria required for the target object,
A method of providing food information optimized for each individual. 10. The method of claim 9,
outputting the determined food information; further comprising,
A method of providing food information optimized for each individual. 15. The method of claim 14,
The food information includes food types, product information, and dietary methods,
A method of providing food information optimized for each individual. 10. The method of claim 9,
The step of determining the appropriate food for the target object
Using a food recommendation model learned to determine the optimal food for the individual from the characteristic information and the microbiome analysis result information to determine the appropriate food for the target object,
A method of providing food information optimized for each individual.

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