WO2022181913A1 - Système de soin personnalisé pour animaux de compagnie - Google Patents

Système de soin personnalisé pour animaux de compagnie Download PDF

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Publication number
WO2022181913A1
WO2022181913A1 PCT/KR2021/013413 KR2021013413W WO2022181913A1 WO 2022181913 A1 WO2022181913 A1 WO 2022181913A1 KR 2021013413 W KR2021013413 W KR 2021013413W WO 2022181913 A1 WO2022181913 A1 WO 2022181913A1
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information
pet
companion animals
unit
breeding
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PCT/KR2021/013413
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English (en)
Korean (ko)
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김희수
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주식회사 라이노박스
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets

Definitions

  • the present invention is disclosed with respect to a personalized curation system for companion animals, and more specifically, due to a curation algorithm for pet management built on the basis of pet food related big data, it is possible to provide a customized diet for companion animals, check health status, and desirable It relates to a curation system customized for each companion animal that guides the improvement direction for the breeding environment.
  • companion animals that are easily available in the vicinity and have excellent communication with humans have become targets for relieving loneliness and depression, and various animals including dogs and cats are selected as companion animals according to individual tastes.
  • This technology collects information on the type of companion animal and existing diet from the user, and proposes a method of generating and delivering recipes and recipes that can supplement insufficient nutrients based on the collected information to the user.
  • companion animals have different constitutions according to breed and age
  • the existing technology has achieved a predetermined purpose by guiding the feed and diet in a customized way, and the present invention also guides customized pet food based on this purpose, and also checks the real-time health status and creates the most desirable breeding environment.
  • the present invention was created to more actively solve the above problems, and based on the current diet information and body information of the companion animal, it provides and guides and provides customized feed and diet, but customized feed in cooperation with pet food producers
  • the main task to solve is to provide a system that can expand the diversity of pet food by producing and providing
  • the present invention predicts changes in the constitution according to the diet of companion animals to suggest improvements to the breeding method and environment to the user, or guides recommended products according to the growing season of companion animals to breed companion animals more easily and conveniently. Another challenge is to provide a system that has
  • the personalized curation system for companion animals proposed in the present invention is as follows.
  • the personalized curation system for companion animals of the present invention evaluates and reflects detailed information guidance on the current diet and nutritional component balance based on the user's input of the companion animal's body information and the current diet and breeding environment information, and reflects the evaluation value It is characterized in that it provides information on alternative feed and encourages purchase based on it.
  • a food information management unit 10 that collects pet food-related information based on a network
  • a pet information management unit 20 that stores PET-related information input by a requester for each member
  • a PET-related information curation algorithm Based on the nutritional component of the diet and the health status of companion animals are analyzed and evaluated, the breeding status analysis unit 30 determines at least one alternative among alternative feeds, supplements, or directions for breeding methods based on the analysis information. It is characterized in that it is composed of a result guide unit 40 delivered to the requester.
  • the food information management unit 10 is characterized in that due to the big data collection method, pet food-related information registered on the Internet is collected or pet food-related information is shared through cooperation with a producer.
  • the pet information management unit 20 includes a breed input unit 21 for receiving type, breed, age, and gender information of a companion animal, a breeding environment input unit 22 for receiving breeding environment information, and food information being paid. It is characterized in that it is composed of a diet input unit 23 that receives input and a medical history inquiry unit 24 that receives medical history of companion animals to collect PET-related information.
  • the breeding state analysis unit 30 is interlocked with the food information management unit 10 and a nutritional component analysis unit 31 that generates a recommended intake guideline based on the analysis of nutrients for each feed and the analyzed information;
  • the health condition analysis unit 32 that collects medical technology information on the health condition of companion animals due to information registered on the Internet or cooperation with veterinary hospitals to generate recommended diagnostic guidelines, and companion animals according to breeding environment conditions It is characterized in that it is composed of a breeding environment analysis unit 33 that collects a large amount of animal growth form and body change information to make it big data, and generates a recommended environment guideline based on the big data, thereby constructing a curation algorithm.
  • the result guide unit 40 determines the satisfaction or non-satisfaction of the currently being paid feed based on the PET-related information, and tracks the alternative feed when the non-satisfaction is determined and guides the requester to the feed evaluation unit 41; It is characterized in that it is composed of a health evaluation unit 42 that proposes supplements based on the medical history of PET-related information and current breeding environment information, or suggests improvement of breeding methods for diet and weight control.
  • the result guide unit 40 is led by one-to-one matching with a veterinarian of a veterinary hospital that is affiliated with the requester according to the selection of the requester, leading to health-related consulting or obtaining medical and treatment-related information. characterized by being
  • breeding consultation unit 43 is linked with the breeding state analysis unit 30 so that the veterinarian can obtain the information of the breeding state analysis unit according to the requester's acceptance, and the veterinarian can diagnose companion animals based on the obtained information. It is characterized in that it is immediately determined whether or not
  • the breeding consultation unit 43 is characterized in that the home visit request of a professional pet sitter or veterinarian is made according to the judgment of the veterinarian or the selection of the requester based on the diagnosis result of the companion animal.
  • a customized diet suitable for each companion animal is induced to improve constitution, promote growth, and increase immunity, a healthy physical condition is always promoted, and feed and diet are provided to the breeder of the companion animal. It is effective because it can easily guide and provide customized pet food suitable for the characteristics of companion animals such as , supplements, etc.
  • the present invention analyzes the nutritional components and raw materials of the feed currently being paid to companion animals in detail to determine whether the nutritional components are balanced, and furthermore, based on the determined information, it is possible to provide customized coping feed and nutritional supplements specialized for each companion animal. Advantages are expected.
  • the present invention predicts the breeding plan according to the growth state and growth period of the companion animal in advance due to the curation algorithm for companion animals built in the system, so that the feed replacement time, nutritional supplementation, breeding environment improvement, and health check-up date guide It is more effective because it can minimize the burden of breeding companion animals by continuously providing information such as reservations and reservations.
  • FIG. 1 is a view showing the configuration of an individual personalized curation system for companion animals configured according to a preferred embodiment of the present invention.
  • the present invention is disclosed with respect to an individual customized curation system for companion animals for actively improving the constitution or other breeding environment, including the companion animal's diet.
  • the present invention is a personalized cue for companion animals that provides a customized diet for companion animals, checks their health status, and guides improvement directions for a desirable breeding environment due to a curation algorithm for pet management built on the basis of big data related to pet food. Note that it is related to the ration system.
  • FIG. 1 is a diagram showing the configuration of an individual customized curation system for companion animals configured according to a preferred embodiment of the present invention.
  • the present invention provides a food information management unit 10 that collects pet food-related information based on a network, a pet information management unit 20 that stores PET-related information input by a requester for each member, and PET-related information. Based on the curation algorithm, the nutritional component of the diet and the health status of companion animals are analyzed and evaluated by the breeding state analysis unit 30, and at least one alternative among alternative feeds, supplements, or directions for breeding methods based on the analysis information It is composed of a result guide unit 40 that is determined and delivered to the requester.
  • the food information management unit 10 collects, stores and manages all information related to pet food.
  • the food information management unit 10 collects all pet food information registered on the Internet by using the Internet network connected to the network, and collects information by tracking all products registered in the shopping mall as well as the website of the relevant company. For example, if the pet food information registered on the Internet does not meet the appropriate level required by the food information management unit 10, this fact may be transmitted to the system administrator of the present invention or may be requested for information by immediately inquiring with the product manufacturer.
  • the food information management unit 10 tracks pet food manufacturing and sales companies, suggests a partnership request, and collects information on products on sale and new products in real time based on continuous information sharing with companies that have accepted the partnership request.
  • the food information management unit 10 collectively analyzes information collected on the Internet and information collected through partnership with a company, and detects, corrects, and removes erroneous information such as erroneous information and redundant information in the analysis process and manages it. .
  • product safety and reliability of information are secured by identifying and managing collected products whether they have passed AAFCO and FEDIAF guidelines, whether veterinary nutrition veterinarians have participated in product development, and whether or not to recall FDA.
  • pet food refers to all foods and medicines produced for the purpose of ingestion of companion animals, such as animal feed, nutritional supplements, and snacks.
  • the pet information management unit 20 like pet food, converts and manages animal-related information into big data on the Internet or through partnership with animal-related companies, receives information of companion animals from users, and compares them with animal-related information big data. play the role of analysis.
  • the pet information management unit 20 receives the history, medical record, and physical examination and laboratory test information input by the user.
  • the History and Medical Record require information input of pet-related data, guardian and environment-related data, and pet food-related data currently being paid.
  • the request for information of the guardian and environment-related data is made by the breeding environment input unit 22 that receives breeding environment information, and the request for information on the currently paid pet food-related data is a diet that receives information about the diet being paid. This is done by the input unit 23 .
  • the breed input unit 21 requests input of the companion animal's medical record, dietary habits, feeding method, age, sex, neutering operation, diet, preference, activity state (vitality index), etc., and the breeding environment input unit 22 ) requires input of the average consumption cost used for companion animals, the type and number of companion animals being kept together, family members living together, and the guardian's dietary philosophy (vegetarian or not).
  • the diet input unit 23 requests input of the brand of the product currently being fed, the name of the feed, the raw material, and the like.
  • the Physical Examination requires input of information on weight information and BCS score, and the Laboratory Test requires input of information such as a complete blood cell test, a serum chemistry test, a microbiome test, a differential test, and an allergic reaction test. These physical examinations and laboratory tests are performed by the medical history inquiry unit 24 that receives the medical history of the companion animal.
  • the breeding state analysis unit 30 analyzes and evaluates the nutritional components of the diet and the health status of companion animals based on the PET-related information based on the curation algorithm.
  • the curation algorithm is a nutrient component analysis unit 31 built by diet-related big data information, a health condition analysis unit 32 built by medical technology-related big data information, and breeding built by growth-related big data information. It is established by the linkage and analysis system of the environment analysis unit 33 .
  • the nutritional component analysis unit 31 is interlocked with the food information management unit 10, based on information registered on the Internet or information shared by cooperative manufacturers based on nutritional component analysis and analysis information for each food Thus, recommended intake guidelines are created.
  • the health condition analysis unit 32 collects medical technical information on the health condition of companion animals due to information registered on the Internet or cooperation with a veterinary hospital to generate recommended diagnostic guidelines.
  • the breeding environment analysis unit 33 collects a large amount of information on growth patterns and body changes of companion animals according to breeding environmental conditions, converts them into big data, and generates recommended environmental guidelines based on the big data.
  • composition puppy cat early growth late growth active inactive early growth late growth active inactive A 22.5 ⁇ A ⁇ 100 22.5 ⁇ A ⁇ 100 18 ⁇ A ⁇ 100 18 ⁇ A ⁇ 100 30 ⁇ A ⁇ 100 30 ⁇ A ⁇ 100 26 ⁇ A ⁇ 100 26 ⁇ A ⁇ 100 B 8.5 ⁇ B ⁇ 100 8.5 ⁇ B ⁇ 100 5.5 ⁇ B ⁇ 100 5.5 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 9 ⁇ B ⁇ 100 E 1.2 ⁇ E ⁇ 1.8 1.2 ⁇ E ⁇ 1.8 0.5 ⁇ E ⁇ 2.5 0.5 ⁇ E ⁇ 2.5 8.5 ⁇ E ⁇ 100 1 ⁇ E ⁇ 100 0.6 ⁇ E ⁇ 100 0.6 ⁇ E ⁇ 100 F 1 ⁇ F ⁇ 1.6 1 ⁇ F ⁇ 1.6 0.4 ⁇ F ⁇ 1.6 0.4 ⁇ F ⁇ 1.6 0.8 ⁇ F ⁇ 100 0.8 ⁇ F ⁇ 100 0.5 ⁇ F ⁇ 100 0.5 ⁇ F ⁇ 100 G 1 ⁇ F ⁇ 2 1 ⁇ F ⁇ 2 1 ⁇ F ⁇ 2 1 ⁇ F ⁇ 2 1 ⁇ F ⁇ 2 X X X a 25 ⁇ a ⁇ 100
  • Tables 1 to 3 are recommended data tables of nutritional component values.
  • Table 4 is an embodiment of the nutritional component calculator proposed by the present invention, and when the nutritional component values described in pet food are described in accordance with the above items, the recommended nutritional component values are exposed based on the recommended data table of the nutritional component values of Table 1 above. do.
  • Table 5 is a pet food-related feed amount calculator proposed by the present invention, and the requester's recommended feed amount for companion animals is calculated according to the calculation method.
  • Table 6 is a table expressing the recommended activity amount of companion animals numerically, and can be applied to the feed amount calculator of Table 3 above.
  • Example 1 is a screen showing the calculation of the recommended salary amount using the salary amount calculator of Table 6.
  • Nutrition recommendation table for each pet's health status Utilization of a, b, c, d, e, f, g values in Table 1 (DM values) Recommendation/Disagreement/Cannot be counted ⁇ Exposure as a recommendation if all conditions are met. ⁇ If even one is not enough, it is exposed as not recommended. ⁇ If any of the DM data to be calculated is not marked or cannot be calculated, the calculation is not possible. dog cat pregnancy and lactation pregnancy and lactation obesity obesity chronic kidney disease chronic kidney disease urinary stones urinary stones Constipation Constipation diabetes diabetes cancer disease cancer disease pancreatitis fatty liver
  • diabetes composition puppy cat crude protein 15 to 35 28 to 55 george 25 or less 25 or less crude fiber 7 to 18 7 to 18
  • Tables 7 to 16 are recommended data tables for checking the health status of the companion animal based on big data information, and the current health status of the companion animal of the requester is changed based on this table.
  • Example 2 is a screen in which a result of predicting the health state of a companion animal based on Table 7 is exposed.
  • the result guide unit 40 analyzes and measures the curation algorithm, that is, Tables 1 to 16, and derives the same result as in Examples 1 or 2, and then based on the analyzed result, an alternative feed or supplement or breeding method At least one or more alternatives are determined among suggestions for directions and delivered to the requester.
  • the result guide unit 40 determines the satisfaction or non-satisfaction of the feed currently being paid based on the PET-related information, and the feed evaluation unit 41 that guides the requester to the requester by tracking the replacement feed when the non-satisfaction is determined, and the PET-related Based on the medical history of information and current breeding environment information, it is divided into the health evaluation unit 42 that suggests supplements or suggests improvement of breeding methods for diet and weight control, and is provided to the requester.
  • the result guide unit 40 is led by a one-to-one matching with a veterinarian of a veterinary hospital that is affiliated with the requester according to the selection of the requester, and includes a breeding consultation unit 43 that leads to obtaining health-related consulting or medical and treatment-related information. provide better service.
  • the requester is provided with the medical examination result of the companion animal analyzed by the curation algorithm.
  • the matching veterinarian can immediately consult based on the diagnosis result analyzed by the curation algorithm without having to ask the requester about the condition of the companion animal, so convenience and promptness are secured, so that the examination time of the companion animal can be actively accelerated. .
  • the breeding consultation unit 43 is configured to breed companion animals more conveniently by requesting a home visit of a professional pet sitter or a veterinarian according to the judgment of the veterinarian or the selection of the requester based on the diagnosis result of the companion animal.
  • the present invention consisting of the above-described configuration, as the supply of a customized diet suitable for each companion animal is induced to improve constitution, promote growth, and increase immunity, a healthy physical condition is always promoted, and feed and diet are provided to the breeder of the companion animal. It is effective because it can easily guide and provide customized pet food suitable for the characteristics of companion animals such as , supplements, etc.
  • the present invention analyzes the nutritional components and raw materials of the feed currently being paid to companion animals in detail to determine whether the nutritional components are balanced, and furthermore, based on the determined information, it is possible to provide customized coping feed and nutritional supplements specialized for each companion animal. Advantages are expected.
  • the present invention predicts in advance the breeding plan according to the growth state and growth period of the companion animal due to the curation algorithm for companion animals built in the system, so that the feed replacement time, nutritional supplementation, breeding environment improvement, health examination date guidance and It is more effective because it is possible to continuously guide reservations, etc., thereby minimizing the burden on breeders of breeding companion animals.

Abstract

La présente invention concerne un système de soin personnalisé pour animaux de compagnie, le système, sur la base d'un algorithme de soin de la gestion d'animaux de compagnie construit sur la base de mégadonnées relatives à des aliments pour animaux de compagnie, fournissant des régimes personnalisés pour les animaux de compagnie, vérifiant la santé des animaux de compagnie et prodiguant des conseils pour améliorer les environnements d'élevage souhaitables pour les animaux de compagnie. Le système de soin personnalisé pour animaux de compagnie comprend : une unité de gestion d'informations d'aliments (10) qui collecte des informations relatives à des aliments pour animaux de compagnie sur la base d'un réseau ; une unité de gestion d'informations d'animaux de compagnie (20) dans laquelle des informations relatives aux animaux de compagnie entrées par un demandeur sont stockées pour chaque membre ; une unité d'analyse d'état d'élevage (30) qui analyse et évalue les compositions nutritionnelles des régimes et les états de santé des animaux de compagnie sur la base des informations relatives aux animaux de compagnie et de l'algorithme de soin ; et une unité de conseils résultants (40) qui détermine une ou plusieurs propositions concernant d'autres alimentations ou suppléments, ou des orientations proposées pour le procédé d'élevage sur la base des informations d'analyse, et les fournit au demandeur.
PCT/KR2021/013413 2021-02-23 2021-09-30 Système de soin personnalisé pour animaux de compagnie WO2022181913A1 (fr)

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KR1020210024380A KR102527364B1 (ko) 2021-02-23 2021-02-23 반려동물 개별 맞춤형 큐레이션 시스템
KR10-2021-0024380 2021-02-23

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KR20180045795A (ko) 2016-10-25 2018-05-04 김연국 초전도전자석과 도선을 이용하여 외부의 연료 또는 전원공급 없이 전기를 생산하게 하는 동력발생장치
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KR20070055522A (ko) * 2004-07-29 2007-05-30 캔 테크놀로지스 인코포레이티드 동적 영양소 정보에 기초하여 동물 생산을 최적화하기 위한시스템 및 방법
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KR102188050B1 (ko) * 2019-06-24 2020-12-07 손혜정 영양 정보 제공 시스템 및 방법

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