WO2022181913A1 - Customized curation system for companion animals - Google Patents
Customized curation system for companion animals Download PDFInfo
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- 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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- 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
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- G—PHYSICS
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- 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
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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
The present invention relates to a customized curation system for companion animals, wherein the system, on the basis of a curation algorithm for pet management constructed on the basis of big data related to pet food, provides customized diets for the companion animals, checks the health of the companion animals, and provides guidance for improving desirable breeding environments for the companion animals. The customized curation system for companion animals comprises: a food information management unit (10) which collects pet food-related information on the basis of a network; a pet information management unit (20) in which PET-related information input by a requester is stored for each member; a breeding state analysis unit (30) which analyzes and evaluates the nutritional compositions of the diets and the health conditions of the companion animals on the basis of the PET-related information and the curation algorithm; and a result guidance unit (40) which determines one or more proposals related to alternative feeds or supplements, or proposed directions for breeding method on the basis of the analysis information, and delivers same to the requester.
Description
본 발명은 반려동물 개별 맞춤형 큐레이션 시스템에 관하여 개시되고, 더욱 상세하게는 펫푸드 관련 빅 데이터를 기반으로 구축된 펫 관리용 큐레이션 알고리즘에 기인하여 반려동물의 맞춤형 식단 제공과 건강 상태 확인 및 바람직한 사육 환경에 대한 개선방향이 안내되는 반려동물 개별 맞춤형 큐레이션 시스템에 관한 것이다.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.
최근 급격한 경제 성장에 따라 주거의 형태가 1인 가구 또는 핵가족화되면서 대인과의 결핍에 의한 심각한 외로움과 우울증 등이 야기되었으며, 이에 대처 방안으로 새로운 정서적 교감 및 애착의 대상을 요구하게 되었다.Recent rapid economic growth has resulted in severe loneliness and depression due to lack of interpersonal relationships as the type of housing has become a single-person household or a nuclear family.
이에 따라 주변에서 쉽게 구할 수 있으며 인간과의 교감이 뛰어난 반려동물이 외로움과 우울증을 소정 해소할 수 있는 대상이 되었으며, 개개인의 취향에 따라 개나 고양이를 비롯한 다양한 동물이 반려동물로 선택되고 있다.Accordingly, 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.
상기와 같이 반려동물를 키우는 가정이 증가하면서 반려동물 산업 또한 지속적으로 발전하고 있으나, 반려동물의 품종과 연령대 및 건강 상태에 따라 사육 조건이 모두 다르기 때문에 이를 모두 충족시킬 수는 없었다. 또한, 인터넷에 반려견용 사료만 검색하더라도 품종과 연령대 및 생산업체에 따라 방대한 정보가 노출되며, 여기에서 사료의 선택이 잘못될 경우 발육부진이나 체중 변화, 면역력 저하 등 다양한 문제가 발생할 수 있기 때문에 특히 초보자들은 사료를 선택하는 것만으로도 많은 고민이 필요하다.As the number of households raising companion animals as described above, the companion animal industry is also continuously developing, but it was not possible to satisfy them all because the breeding conditions for companion animals are different depending on the breed, age, and health condition of the companion animal. In addition, even if you search only for dog food on the Internet, a vast amount of information is exposed depending on the breed, age, and producer. Beginners need a lot of thought just by choosing a feed.
이러한 고민 해소를 목적으로 반려동물의 맞춤형 사료를 제공할 수 있는 다양한 기술이 개발되었으며, 그 예시로 등록특허공보 제10-1721053호 "주문식 맞춤형 애완동물 사료의 온라인 판매방법"과, 등록특허공보 10-2138271호 "맞춤 검색 및 맞춤 추천 기능을 제공하는 반려동물 사료정보 제공시스템 및 제공방법"이 게재되어 있다.For the purpose of resolving these concerns, various technologies have been developed that can provide customized pet food for companion animals. -2138271 "Companion animal feed information providing system and method providing customized search and customized recommendation function" is published.
해당 기술들은 주문자가 단말기를 이용하여 입력한 반려동물 신체정보 관련 항목에 기인하여 현재 지급 중인 사료의 성분을 분석하여 획득한 정보를 기반으로 맞춤형 사료의 원료 배합비를 검출하고, 검출된 원료 배합비와 근접한 조건의 사료를 판매하는 판매처와 매칭시켜 구매를 독려하는 방식을 제안한다.These technologies detect the raw material blending ratio of customized feed based on the information obtained by analyzing the ingredients of the feed currently being paid due to the items related to the body information of the companion animal entered by the orderer using the terminal, and We propose a method to encourage purchase by matching with vendors that sell feed under conditions.
한편, 고민 해소의 다른 방안으로 맞춤형 식단을 제공하거나 해당 식단을 구성할 수 있는 레시피를 제공하는 기술이 개발되었으며, 일례로 공개특허공보 제10-2018-0045795호 "반려동물의 맞춤형 식단과 레시피 제공 장치 및 방법"이 게재되어 있다.On the other hand, as another method of resolving concerns, a technology has been developed to provide a customized diet or to provide a recipe for composing the corresponding diet. Apparatus and Method".
해당 기술은 사용자로부터 반려동물의 종류와 기존 식단 정보를 수집하고, 수집된 내용을 기반으로 미흡한 영양성분을 보충할 수 있는 레시피와 요리법을 생성하여 사용자에게 전달하는 방식을 제안한다.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.
상기와 같이 반려동물은 품종과 연령대에 따른 체질에 차이가 있고,As mentioned above, companion animals have different constitutions according to breed and age,
체질에 따라 식단과 사육 환경에 변화와 개선이 지속적으로 이루어져야만 건강한 상태를 유지할 수 있다. 따라서 기존 기술은 사료와 식단을 맞춤형으로 안내하여 소정의 목적을 달성하였으며, 본 발명 역시 이러한 목적에 기초하여 맞춤형 펫푸드를 안내하며, 더불어 실시간 건강 상태를 체크하고 가장 바람직한 사육 환경을 조성할 수 있도록 지속적인 피드백이 이루어질 수 있는 큐레이션 기반의 컨설팅 시스템을 개발하게 되었다.According to the constitution, changes and improvements in diet and breeding environment must be continuously made to maintain a healthy state. Therefore, 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. We have developed a curation-based consulting system that can provide continuous feedback.
본 발명은 상기의 제반 문제점을 보다 적극적으로 해소하기 위하여 창출된 것으로, 반려동물의 현재 식단 정보와 신체 정보를 바탕으로 맞춤형 사료와 식단을 안내 및 제공하되, 펫푸드 생산업체와의 협력으로 맞춤형 사료를 생산 및 제공하여 펫푸드의 다양성을 확장할 수 있는 시스템 제공을 주된 해결과제로 한다.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
또한, 본 발명은 반려동물의 식단에 따른 체질 변화를 예측하여 사용자에게 사육 방식과 환경에 대한 개선을 제안하거나, 반려동물의 성장기에 따른 권장 제품을 안내하여 반려동물을 보다 쉽고 편리하게 사육할 수 있는 시스템을 제공하는 것이 다른 해결과제이다.In addition, 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
상기의 해결 과제를 달성하기 위하여 본 발명에서 제안하는 반려동물 개별 맞춤형 큐레이션 시스템은 다음과 같다.In order to achieve the above-mentioned problem, the personalized curation system for companion animals proposed in the present invention is as follows.
본 발명의 반려동물 개별 맞춤형 큐레이션 시스템은 사용자가 입력한 반려동물의 신체 정보와 현 식단 및 사육 환경 정보에 기초하여 현 식단에 대한 상세정보 안내 및 영양성분 균형 여부를 평가하여 반영하고, 평가 수치에 기반하여 대체 사료 정보 제공 및 구매를 독려하는 것을 특징으로 한다.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.
상세하게는, 네트워크를 기반으로 펫푸드 관련 정보가 수집되는 식품정보 관리부(10)와, 요청자가 입력한 PET 관련 정보가 회원 별 저장되는 펫정보관리부(20)와, PET 관련 정보를 큐레이션 알고리즘에 기반하여 식단의 영양성분 및 반려동물의 건강 상태가 분석 및 평가되는 사육상태 분석부(30)와, 분석 정보를 토대로 대체 사료나 보조제 또는 사육 방식에 대한 방향 제시 중 적어도 하나 이상의 대안을 판단하여 요청자에게 전달되는 결과 안내부(40)로 구성되는 것을 특징으로 한다.Specifically, 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 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.
또한, 상기 식품정보 관리부(10)는 빅데이터 수집 방식에 기인하여 인터넷 상에 등록된 펫푸드 관련 정보가 수집되거나 또는 생산업체와의 협력을 통해 펫푸드 관련 정보가 공유되는 것을 특징으로 한다.In addition, 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.
또한, 상기 펫정보 관리부(20)는 반려동물의 종류, 품종, 나이, 성별 정보를 입력받는 품종 입력부(21)와, 사육 환경 정보를 입력받는 사육 환경 입력부(22)와, 지급 중인 식단 정보를 입력받는 식단 입력부(23)와, 반려동물의 진료이력을 입력받는 진료 이력 조회부(24)로 구성되어 PET 관련 정보가 수집되는 것을 특징으로 한다.In addition, 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.
또한, 상기 사육상태 분석부(30)는 식품정보 관리부(10)와 연동되어 각 사료에 대한 영양성분 분석 및 분석된 정보에 기초하여 권장 섭취 가이드라인을 생성하는 영양성분 분석부(31)와, 인터넷 상에 등록된 정보 또는 동물병원과의 협력에 기인하여 반려동물의 건강 상태에 대한 의료 기술 정보를 수집하여 권장 진단 가이드라인을 생성하는 건강상태 분석부(32)와, 사육 환경 조건에 따른 반려동물의 성장 형태 및 신체 변화 정보를 대량 수집하여 빅데이터화하고, 빅데이터에 기초하여 권장 환경 가이드라인을 생성하는 사육환경 분석부(33)로 구성되어 큐레이션 알고리즘이 구축되는 것을 특징으로 한다.In addition, 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.
또한, 상기 결과 안내부(40)는 PET 관련 정보에 기반하여 현재 지급중인 사료의 충족 또는 불충족을 판단하고, 불충족 판단시 대체 사료를 추적하여 요청자에게 안내되는 사료 평가부(41)와, PET 관련 정보의 진료 이력과 현재 사육환경 정보에 기반하여 보조제를 제안하거나 또는 식단 및 체중 조절에 대한 사육방식 개선이 제안되는 건강 평가부(42)로 구성되는 것을 특징으로 한다.In addition, 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.
한편, 상기 결과 안내부(40)는 요청자의 선택에 따라 제휴 관계를 맺은 동물병원의 수의사와 일대일 매칭이 주도되어 건강 관련 컨설팅 내지 의료 및진료 관련 정보 수득이 유도되는 사육 상담부(43)가 포함되는 것을 특징으로 한다.On the other hand, 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
또한, 상기 사육 상담부(43)는 사육상태 분석부(30)와 연동되어 요청자의 수락에 따라 수의사가 사육상태 분석부의 정보를 수득이 가능하고, 수의사는 수득한 정보에 기인하여 반려동물의 진단 여부를 즉시 판단하는 것을 특징으로 한다.In addition, the 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
또한, 상기 사육 상담부(43)는 반려동물의 진단 결과를 바탕으로 수의사의 판단이나 요청자의 선택에 따라 전문 펫시터 또는 수의사의 자택 방문 요청이 이루어지는 것을 특징으로 한다.In addition, 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.
상술한 구성으로 이루어지는 본 발명에 의하면, 개개 반려동물에 적합한 맞춤 식단의 공급으로 체질 개선과 발육 증진 및 면역력 증대가 유도됨에 따라 항상 건강한 신체 상태를 도모할 뿐 아니라 해당 반려동물의 사육자에게 사료와 식단, 보충제 등 반려동물의 특성에 맞는 맞춤형 펫푸드를 간편하게 안내 및 제공할 수 있으므로 효과적이다.According to 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.
또한, 본 발명은 현재 반려동물에게 지급 중인 사료의 영양성분과 원재료를 상세하게 분석하여 영양성분 균형 여부를 판단하고, 나아가 판단된 정보를 바탕으로 개개 반려동물에 특화된 맞춤형 대처 사료와 영양제를 제공할 수 있는 이점이 기대된다.In addition, 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.
또한, 본 발명은 시스템에 구축된 반려동물용 큐레이션 알고리즘에 기인하여 해당 반려동물의 발육 상태 및 성장기에 따른 사육 방안을 미리 예측하여 사료의 교체 시기, 영양제 보충, 사육 환경 개선, 건강 검진 날짜 안내 및 예약 등을 지속적으로 안내 가능함으로써 사육자의 반려동물 사육 부담을 최소화할 수 있으므로 더욱 효과적이다.In addition, 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.
도 1은 본 발명의 바람직한 실시 예에 의하여 구성되는 반려동물 개별 맞춤형 큐레이션 시스템의 구성을 나타낸 도면.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.
이하, 첨부도면을 참고하여 본 발명의 구성 및 이로 인한 작용, 효과에 대해 일괄적으로 기술하기로 한다.Hereinafter, with reference to the accompanying drawings, it will be collectively described for the configuration of the present invention, its action and effect.
본 발명의 이점 및 특징, 그리고 그것들을 달성하는 방법은 첨부되는 도면과 함께 상세하게 후술되어 있는 실시 예를 참조하면 명확해질 것이다. 그러나 본 발명은 이하에서 개시되는 실시 예에 한정되는 것이 아니라, 서로 다른 다양한 형태로 구현될 수 있으며, 단지 본 실시 예는 본 발명의 개시가 완전하도록하고, 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에게 발명의 범주를 완전하게 알려주기 위해 제공되는 것이며, 본 발명은 청구항의 범주에 의해 정의될 뿐이다. 그리고 명세서 전문에 걸쳐 동일 참조 부호는 동일 구성요소를 지칭한다.Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, and may be implemented in various different forms, and only this embodiment allows the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. In addition, like reference numerals refer to like elements throughout the specification.
본 발명은 반려동물의 식단을 비롯하여 체질이나 기타 사육 환경을 적극 개선 유도하기 위한 반려동물 개별 맞춤형 큐레이션 시스템에 관하여 개시된다.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.
무엇보다 본 발명은 펫푸드 관련 빅 데이터를 기반으로 구축된 펫관리용 큐레이션 알고리즘에 기인하여 반려동물의 맞춤형 식단 제공과 건강 상태확인 및 바람직한 사육 환경에 대한 개선방향이 안내되는 반려동물 개별 맞춤형 큐레이션 시스템에 관련됨을 주지한다.Above all, 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.
특히 사용자가 입력한 반려동물의 신체 정보와 현 식단 및 사육 환경 정보에 기초하여 현 식단에 대한 상세정보 안내 및 영양성분 균형 여부를 평가한 평가 수치에 기반하여 대체 사료 정보 제공 및 구매가 독려하는 것이 본 발명의 주된 핵심 기술이다.In particular, based on the user's input of the companion animal's body information and the current diet and breeding environment information, detailed information on the current diet and the evaluation of nutritional component balance are provided to encourage the provision and purchase of alternative feed information. It is the main core technology of the present invention.
도 1은 본 발명의 바람직한 실시 예에 의하여 구성되는 반려동물 개별 맞춤형 큐레이션 시스템의 구성을 나타낸 도면이다.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.
도 1과 같이 본 발명은 네트워크를 기반으로 펫푸드 관련 정보가 수집되는 식품정보 관리부(10)와, 요청자가 입력한 PET 관련 정보가 회원 별 저장되는 펫정보 관리부(20)와, PET 관련 정보를 큐레이션 알고리즘에 기반하여 식단의 영양성분 및 반려동물의 건강 상태가 분석 및 평가되는 사육상태 분석부(30)와, 분석 정보를 토대로 대체 사료나 보조제 또는 사육 방식에 대한 방향 제시 중 적어도 하나 이상의 대안을 판단하여 요청자에게 전달되는 결과 안내부(40)로 구성된다.1, 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.
상기 식품정보 관리부(10)는 펫푸드 관련된 모든 정보를 수집하여 저장 및 관리하는 역할을 수행한다. 상기 식품정보 관리부(10)는 네트워크로 연결된 인터넷 망을 활용하여 인터넷 상에 등록된 모든 펫푸드 정보를 수집하며, 관련 업체 홈페이지는 물론 쇼핑몰에 등록된 상품 모두를 추적하여 정보를 수집한다. 예컨대 인터넷 상에 등록된 펫푸드 정보가 식품정보 관리부(10)에서 요구하는 적정수준에 미달할 경우 이 사실을 본 발명의 시스템 관리자에게 전달하거나 또는 해당상품 제조사에 즉시 문의하여 정보를 요청할 수도 있다.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.
상기 식품정보 관리부(10)는 펫푸드 제조 및 판매 업체를 추적하여 제휴 관계 요청을 제안하고, 제휴 요청을 수락한 업체와 지속적인 정보 공유를 바탕으로 판매 중인 제품과 신제품의 정보를 실시간 수집한다.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.
상기 식품정보 관리부(10)는 인터넷 상에서 수집한 정보와 업체와의 제휴를 통해 수집한 정보를 일괄 분석하고, 분석 과정에서 잘못된 정보와 중복된 정보 등 오류성 정보를 감지하여 수정 및 제거하여 관리한다. 또한, 수집된 제품에 대해 AAFCO와 FEDIAF 가이드라인 통과 여부와 수의영양학 수의사의 제품 개발 참여여부 및 FDA 리콜 여부 등을 파악하여 관리함으로써 제품의 안전성과 정보의 신뢰성을 확보한다.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. . In addition, 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.
한편, 여기서 펫푸드는 동물용 사료, 영양제, 간식 등 반려동물의 섭취를 목적으로 생산된 모든 식품과 약재를 의미한다.Meanwhile, here, 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.
상기 펫정보 관리부(20)는 펫푸드와 마찬가지로 인터넷 상이나 동물 관련 업체와의 제휴를 통해 동물 관련 정보를 빅데이터화 변환하여 관리하고, 사용자로부터 반려동물의 정보를 입력받아 동물 관련 정보 빅데이터와 비교하여 분석하는 역할을 수행한다.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.
상기 펫정보 관리부(20)는 사용자가 입력한 History와 Medical Record와 Phyical Examination 및 Laboratory Test 정보를 제공받는다.The pet information management unit 20 receives the history, medical record, and physical examination and laboratory test information input by the user.
상기 History와 Medical Record는 Pet 관련 데이터와 보호자 및 환경 관련 데이터 및 현재 급여 중인 펫푸드 관련 데이터의 정보 입력을 요구하며, Pet 관련 데이터의 정보 요청은 반려동물의 신체 정보를 입력받는 품종 입력부(21)에 의해 이루어지고, 보호자 및 환경 관련 데이터의 정보 요청은 사육 환경 정보를 입력받는 사육 환경 입력부(22)에 의해 이루어지며, 현재 급여 중인 펫푸드 관련 데이터의 정보 요청은 지급 중인 식단 정보를 입력받는 식단 입력부(23)에 의해 이루어진다.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 .
상기 품종 입력부(21)는 반려동물의 의료 기록, 식이습관, 급여방식, 나이, 성별, 중성화 수술 여부, 식성, 기호성, 활동 상태(활력지수) 등의 입력을 요구하며, 상기 사육 환경 입력부(22)는 반려동물에 사용되는 평균 소비 비용, 동반 사육 중인 반려동물의 종류 및 수, 함께 거주하는 가족 구성원, 보호자의 식이 철학(채식주의 여부) 등의 입력을 요구한다. 그리고 상기 식단 입력부(23)는 현재 급여하는 제품의 브랜드, 사료명, 원재료 등의 입력을 요구한다.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). In addition, 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.
상기 Phyical Examination은 체중 정보와 BCS score의 정보 입력을 요구하며, 상기 Laboratory Test는 전혈구 검사, 혈청화학검사, 마이크로바이옴 검사, 분별검사, 알러지 반응 검사 등의 정보 입력을 요구한다. 이러한 Phyical Examination과 Laboratory Test는 반려동물의 진료 이력을 입력받는 진료 이력 조회부(24)에 의해 이루어진다.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.
상기 사육상태 분석부(30)는 PET 관련 정보를 큐레이션 알고리즘에 기반하여 식단의 영양성분 및 반려동물의 건강 상태가 분석 및 평가하는 역할을 수행한다. 상기 큐레이션 알고리즘은 식단 관련 빅데이터 정보에 의해 구축되는 영양성분 분석부(31)와 의료 기술 관련 빅데이터 정보에 의해 구축되는 건강상태 분석부(32) 및 성장 관련 빅데이터 정보에 의해 구축되는 사육환경 분석부(33)의 연계 및 분석 시스템에 의해 구축된다.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 .
상기 영양성분 분석부(31)는 식품정보 관리부(10)와 연동되어 인터넷 상에 등록된 정보 또는 협력을 맺은 제조 업체가 공유하는 정보를 기반으로 각 식품에 대한 영양성분 분석 및 분석된 정보에 기초하여 권장 섭취 가이드라인이 생성된다.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.
상기 건강상태 분석부(32)는 인터넷 상에 등록된 정보 또는 동물병원과의 협력에 기인하여 반려동물의 건강 상태에 대한 의료 기술 정보를 수집하여 권장 진단 가이드라인이 생성된다.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.
상기 사육환경 분석부(33)는 사육 환경 조건에 따른 반려동물의 성장 형태 및 신체 변화 정보를 대량 수집하여 빅데이터화하고, 빅데이터에 기초하여 권장 환경 가이드라인이 생성된다.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.
상기의 권장 섭취 가이드라인과 권장 진단 가이드라인 및 환경 가이드라인은 아래 표와 실시 예의 조합과 연계 과정을 거쳐 구축된다.The above recommended intake guideline, recommended diagnostic guideline, and environmental guideline are constructed through a combination and linkage process with the table and examples below.
<영양성분> (값은 %로 표현)<Nutrition component> (Value expressed in %) | |||||||
AsFedAsFed | A.조단백A. Crude protein | B.조지방B. crude fat | C.조섬유C. Crude Fiber | D.조회분D. Views | E.칼슘E. Calcium | F.인F. in |
G.칼슘-인 비율 H.수분G.Calcium-phosphorus Ratio H. Moisture |
DMDM | a.조단백a. crude protein | b.조지방b. crude fat | c.조섬유c. crude fiber | d.조회분d. Query | e.칼슘e.Calcium | f.인f.in | g.칼슘-인 비율g.Calcium-Phosphorus Ratio |
*G,g→E/F:1로 계산 *Calculated as G,g→E/F:1
<수분제거값 계산> x=A,B,C,D,E,F<Calculation of water removal value> x=A,B,C,D,E,F | 수분제거 탄수화물값 (NFE)Dehydrated Carbohydrate Value (NFE) |
DM(%) = 100*x/(100-H)DM(%) = 100*x/(100-H) | NFE=100*(100-A-B-C-D-H)/(100-H)NFE=100*(100-A-B-C-D-H)/(100-H) |
구성composition | 강아지puppy | 고양이cat | ||||||
초기성장early growth | 후기성장late growth | 활동적active | 비활동적inactive | 초기성장early growth | 후기성장late growth | 활동적active | 비활동적inactive | |
AA | 22.5≤A≤10022.5≤A≤100 | 22.5≤A≤10022.5≤A≤100 | 18≤A≤10018≤A≤100 | 18≤A≤10018≤A≤100 | 30≤A≤10030≤A≤100 | 30≤A≤10030≤A≤100 | 26≤A≤10026≤A≤100 | 26≤A≤10026≤A≤100 |
BB | 8.5≤B≤1008.5≤B≤100 | 8.5≤B≤1008.5≤B≤100 | 5.5≤B≤1005.5≤B≤100 | 5.5≤B≤1005.5≤B≤100 | 9≤B≤1009≤B≤100 | 9≤B≤1009≤B≤100 | 9≤B≤1009≤B≤100 | 9≤B≤1009≤B≤100 |
EE | 1.2≤E≤1.81.2≤E≤1.8 | 1.2≤E≤1.81.2≤E≤1.8 | 0.5≤E≤2.50.5≤E≤2.5 | 0.5≤E≤2.50.5≤E≤2.5 | 8.5≤E≤1008.5≤E≤100 | 1≤E≤1001≤E≤100 | 0.6≤E≤1000.6≤E≤100 | 0.6≤E≤1000.6≤E≤100 |
FF | 1≤F≤1.61≤F≤1.6 | 1≤F≤1.61≤F≤1.6 | 0.4≤F≤1.60.4≤F≤1.6 | 0.4≤F≤1.60.4≤F≤1.6 | 0.8≤F≤1000.8≤F≤100 | 0.8≤F≤1000.8≤F≤100 | 0.5≤F≤1000.5≤F≤100 | 0.5≤F≤1000.5≤F≤100 |
GG | 1≤F≤21≤F≤2 | 1≤F≤21≤F≤2 | 1≤F≤21≤F≤2 | 1≤F≤21≤F≤2 | XX | XX | XX | XX |
aa | 25≤a≤10025≤a≤100 | 25≤a≤10025≤a≤100 | 18≤a≤10018≤a≤100 | 21≤a≤10021≤a≤100 | 28≤a≤10028≤a≤100 | 28≤a≤10028≤a≤100 | 25≤a≤10025≤a≤100 | 33.3≤a≤10033.3≤a≤100 |
bb | 8.5≤b≤1008.5≤b≤100 | 8.5≤b≤1008.5≤b≤100 | 5.5≤b≤1005.5≤b≤100 | 5.5≤b≤1005.5≤b≤100 | 9≤b≤1009≤b≤100 | 9≤b≤1009≤b≤100 | 9≤b≤1009≤b≤100 | 9≤b≤1009≤b≤100 |
ee | 1.0≤e≤1.61.0≤e≤1.6 | 0.8≤e≤1.60.8≤e≤1.6 | 0.5≤e≤1.60.5≤e≤1.6 | 0.58≤e≤1.60.58≤e≤1.6 | 1≤e≤1001≤e≤100 | 1≤e≤1001≤e≤100 | 0.59≤e≤1000.59≤e≤100 | 0.79≤e≤1000.79≤e≤100 |
ff | 0.9≤f≤1000.9≤f≤100 | 0.7≤f≤1000.7≤f≤100 | 0.4≤f≤1.60.4≤f≤1.6 | 0.46≤f≤1.60.46≤f≤1.6 | 0.84≤f≤1000.84≤f≤100 | 0.84≤f≤1000.84≤f≤100 | 0.5≤f≤1000.5≤f≤100 | 0.67≤f≤1000.67≤f≤100 |
gg | 1≤g≤1.61≤g≤1.6 | 1≤g≤1.81≤g≤1.8 | 1≤g≤21≤g≤2 | 1≤g≤21≤g≤2 | 1≤g≤1.51≤g≤1.5 | 1≤g≤1.51≤g≤1.5 | 1≤g≤21≤g≤2 | 1≤g≤21≤g≤2 |
상기 표 1내지 3은 영양성분 값의 권장 데이터 표이다.Tables 1 to 3 are recommended data tables of nutritional component values.
영양성분 계산기Nutrition Facts Calculator | |||
<DM 기준> → 기본<Based on DM> → Basic | |||
조단백crude protein | 조지방george | 조섬유crude fiber | 조회분views |
aa | bb | cc | dd |
탄수화물carbohydrate | 칼슘calcium | 인sign | 칼슘:인 비율Calcium: Phosphorus Ratio |
100*(100-A-B-C-D-H)/ (100-H)100*(100-ABCDH)/ (100-H) |
ee | ff | gg |
<As Fed 기준><As Fed standard> | |||
조단백crude protein | 조지방george | 조섬유crude fiber | 조회분views |
AA | BB | CC | DD |
수분moisture | 칼슘calcium | 인sign | 칼슘:인 비율Calcium: Phosphorus Ratio |
HH | EE | FF | GG |
상기 표 4는 본 발명이 제안하는 영양성분 계산기의 실시 형태로써 펫푸드에 기재된 영양성분 값을 상기 항목에 맞춰 기재하면 상기 표 1의 영양성분 값의 권장 데이터 표를 기반으로 권장 영양성분 값이 노출된다.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.
급여량 계산기salary calculator | |||
A, B, C, D, H 값 / *반려동물 건강상태 데이터 / 체중값 이용 /A, B, C, D, H values / * Pet health status data / Use of weight values / | |||
[고려사항] A,B,C,D,H 중 하나라도 없다면 '계산불가'로 노출[Consideration] If there is no one of A, B, C, D, H, it is exposed as 'cannot be calculated' | |||
㉠사료의 추정 칼로리(ME) 계산㉠Calculating the estimated calories (ME) of the feed | ㉡동물의 하루 에너지 요구량 계산㉡Calculating an animal's daily energy requirement | ||
단위 : Kcal / KgUnit: Kcal / Kg | 단위 : Kcal / DayUnit: Kcal / Day | ||
개dog | 고양이cat | 개dog | 고양이cat |
ME(kcal/kg) = (0.57*A+0.94*B+0.41*(100-A-B-D-H))*(91.2-(1.43*C*100/(100-H)))-10.4*AME (kcal/kg) = (0.57*A+0.94*B+0.41*(100-ABDH))*(91.2-(1.43*C*100/(100-H)))-10.4*A |
ME(kcal/kg) = (0.57*A+0.94*B+0.41*(100-A-B-D-H))*(87.9-(0.88*C*100/(100-H)))-7.7*AME (kcal/kg) = (0.57*A+0.94*B+0.41*(100-ABDH))*(87.9-(0.88*C*100/(100-H)))-7.7*A |
DER(kcal) = 상수 X 70(체중 kg)^0.75DER(kcal) = constant X 70(weight kg)^0.75 | |
㉢하루 급여량 계산 (단위 : g / Day )㉢Calculation of daily salary (Unit: g / Day) | |||
주식stock | 간식/건강보조Snack/Health supplement | ||
하루 급여량 (g/Day) = 1000*㉡/㉠Daily feed amount (g/Day) = 1000*㉡/㉠ | 하루 권장량 (g/Day) = 100*㉡/㉠Recommended amount per day (g/Day) = 100*㉡/㉠ |
상기 표 5는 본 발명이 제안하는 펫푸드 관련 급여량 계산기로써 상기 계산방식에 따라 요청자의 반려동물 권장 급여량이 계산된다.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.
반려동물의 하루 에너지 요구량 상수값The constant value of the daily energy requirement of a companion animal | |||
강아지 건강상태dog health | 상수a constant | 고양이 건강상태cat health | 상수a constant |
4개월 이하의 강아지puppies under 4 months | 33 | 12개월 이하의 고양이Cats under 12 months | 2.52.5 |
4개월 이상~12개월 이하 강아지Puppies from 4 months to 12 months old | 22 | 중성화한 성묘neutered grave | 1.21.2 |
중성화한 성견neutered adult dog | 1.61.6 | 비중성화한 성묘Neutralized tomb | 1.41.4 |
비중성화 성견unneutered adult dog | 1.81.8 | 비만 경향의 성묘Obesity-prone adult cat | 1One |
비만 경향의 성견obese adult dog | 1.41.4 | 체중 감량이 필요한 성묘Adults needing to lose weight | 0.80.8 |
체중 감량이 필요한 성견adult dog in need of weight loss | 1One | 체중 증가사 필요한 성묘Adults in need of weight gain | 1.31.3 |
중환자 관리critical care | 1One | 중환자 관리critical care | 1One |
임신 초기 성견(42일 전)Adult dog in early pregnancy (before 42 days) | 1.81.8 | 임신 초기 성묘early gestational cat | 1.61.6 |
임신 후기 성견(42일 후)Late gestational adult dog (after 42 days) | 33 | 임신 후기 성묘late gestational cat | 22 |
상기 표 6은 반려동물의 권장 활동량을 수치로 표현한 표로써 상기 표 3의 급여량 계산기에 적용될 수 있다.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.
아래 실시예 1은 표 6의 급여량 계산기를 활용하여 권장 급여량이 계산 노출된 화면이다.Example 1 below is a screen showing the calculation of the recommended salary amount using the salary amount calculator of Table 6.
(실시예 1)(Example 1)
<본 발명의 바람직한 실시 예에 의한 급여량 계산기><Salary amount calculator according to a preferred embodiment of the present invention>
반려동물의 건강상태별 영양추천 권장표Nutrition recommendation table for each pet's health status | |
표 1의 a, b, c, d, e, f, g 값 활용 (DM 값)Utilization of a, b, c, d, e, f, g values in Table 1 (DM values) | |
추천/비추천/계산불가는 ㉠ 모든 사항이 충족되는 경우 추천으로 노출. ㉡ 하나라도 부족한 경우 비추천으로 노출. ㉢ 계산하려는 DM 데이터 중 하나라도 미표기 or 계산불가가 있다면 계산불가가 노출.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. |
|
개dog | 고양이cat |
임신과 수유pregnancy and lactation | 임신과 수유pregnancy and lactation |
비만obesity | 비만obesity |
만성 신장 질환chronic kidney disease | 만성 신장 질환chronic kidney disease |
비뇨기 결석urinary stones | 비뇨기 결석urinary stones |
변비Constipation | 변비Constipation |
당뇨병diabetes | 당뇨병diabetes |
암질환cancer disease | 암질환cancer disease |
췌장염pancreatitis | 지방간fatty liver |
임신과 수유pregnancy and lactation | ||
구성composition | 강아지puppy | 고양이cat |
조단백crude protein | 25 ~ 3525 to 35 | 35 ~ 5035 to 50 |
조지방 |
20 이상20 or more | 18 ~ 3518 to 35 |
칼슘calcium | 1 ~ 1.71 to 1.7 | 1.1 ~ 1.61.1 to 1.6 |
인sign | 0.7 ~ 1.30.7 to 1.3 | 0.8 ~ 1.40.8 to 1.4 |
칼슘:인 비율Calcium: Phosphorus Ratio | 1:1 ~ 2:11:1 ~ 2:1 | 1:1 ~ 1.5:11:1 to 1.5:1 |
비만obesity | ||
구성composition | 강아지puppy | 고양이cat |
조단백crude protein | 25 이상25 or more | 35 이상35 or more |
조지방george | 9 이하9 or less | 10 이하below 10 |
만성 신장 질환chronic kidney disease | ||
구성composition | 강아지puppy | 고양이cat |
조단백crude protein | 14 ~ 2014 to 20 | 28 ~ 3528 to 35 |
인sign | 0.2 ~ 0.50.2 to 0.5 | 0.3 ~ 0.60.3 to 0.6 |
비뇨기 결석urinary stones | ||
구성composition | 강아지puppy | 고양이cat |
조단백crude protein | 25 이하25 or less | 32 ~ 4532 to 45 |
인sign | 0.3 ~ 0.60.3 to 0.6 | 0.5 ~ 0.90.5 to 0.9 |
변비Constipation | ||
구성composition | 강아지puppy | 고양이cat |
조섬유crude fiber | 7 이상7 or more | 7 이상7 or more |
당뇨병diabetes | ||
구성composition | 강아지puppy | 고양이cat |
조단백crude protein | 15 ~ 3515 to 35 | 28 ~ 5528 to 55 |
조지방george | 25 이하25 or less | 25 이하25 or less |
조섬유crude fiber | 7 ~ 187 to 18 | 7 ~ 187 to 18 |
암질환cancer disease | ||
구성composition | 강아지puppy | 고양이cat |
조단백 |
30 ~ 4530 to 45 | 40 ~ 5040 to 50 |
조지방george | 25 ~ 4025 to 40 | 25 ~ 4025 to 40 |
탄수화물carbohydrate | 25 이하25 or less | 25 이하25 or less |
지방간fatty liver | |
구성composition |
고양이 |
조단백crude protein | 30 ~ 4530 to 45 |
췌장염pancreatitis | |
구성composition | 강아지puppy |
조지방george | 15 이하15 or less |
조단백crude protein | 15 ~ 3015 to 30 |
상기 표 7 내지 16은 빅데이터 정보를 기반으로 반려동물의 건강 상태를 체크할 수 있는 권장 데이터 표이고, 이를 기반으로 요청자의 반려동물의 현 건강상태가 달라진다.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.
아래 실시예 2는 표 7을 기반으로 반려동물의 건강 상태를 예측한 결과가 노출된 화면이다.Example 2 below is a screen in which a result of predicting the health state of a companion animal based on Table 7 is exposed.
(실시예 2)(Example 2)
<본 발명의 바람직한 실시 예에 의한 건강 상태 진단 결과><Health condition diagnosis result according to a preferred embodiment of the present invention>
상기 결과 안내부(40)는 큐레이션 알고리즘 즉, 표 1 내지 16을 연계적으로 분석 및 측정하여 실시예 1 또는 2와 같은 결과물을 도출한 후, 분석된 결과물을 토대로 대체 사료나 보조제 또는 사육 방식에 대한 방향 제시 중 적어도 하나 이상의 대안을 판단하여 요청자에게 전달된다.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.
상기 결과 안내부(40)는 PET 관련 정보에 기반하여 현재 지급 중인 사료의 충족 또는 불충족을 판단하고, 불충족 판단시 대체 사료를 추적하여 요청자에게 안내되는 사료 평가부(41)와, PET 관련 정보의 진료 이력과 현재 사육 환경정보에 기반하여 보조제를 제안하거나 또는 식단 및 체중 조절에 대한 사육 방식 개선이 제안되는 건강 평가부(42)로 구분되어 요청자에게 제공된다.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.
특히 상기 결과 안내부(40)는 요청자의 선택에 따라 제휴 관계를 맺은 동물병원의 수의사와 일대일 매칭이 주도되어 건강 관련 컨설팅 내지 의료 및 진료 관련 정보 수득이 유도되는 사육 상담부(43)를 포함함으로써 더욱 나은 서비스를 제공한다.In particular, 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.
상기와 같이 요청자는 큐레이션 알고리즘이 분석한 반려동물의 건강진단 결과를 제공받고, 건강 진단 결과에 대한 궁금한 사항이나 상담이 요구될 경우 본 시스템과 제휴 관계를 맺은 동물병원의 수의사와 일대일 연결이 주도되며, 매칭된 수의사는 요청자에게 반려동물의 상태를 질문할 필요없이 큐레이션 알고리즘이 분석한 진단 결과를 바탕으로 즉시 상담이 가능하여 편의성이 신속성이 확보됨에 따라 반려동물의 진찰 시기를 적극 앞당길 수 있다.As described above, 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. .
아울러 상기 사육 상담부(43)는 반려동물의 진단 결과를 바탕으로 수의사의 판단이나 요청자의 선택에 따라 전문 펫시터 또는 수의사의 자택 방문 요청되어 반려동물을 더욱 편리하게 사육할 수 있도록 구성하였다.In addition, 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.
상술한 구성으로 이루어지는 본 발명에 의하면, 개개 반려동물에 적합한 맞춤 식단의 공급으로 체질 개선과 발육 증진 및 면역력 증대가 유도됨에 따라 항상 건강한 신체 상태를 도모할 뿐 아니라 해당 반려동물의 사육자에게 사료와 식단, 보충제 등 반려동물의 특성에 맞는 맞춤형 펫푸드를 간편하게 안내 및 제공할 수 있으므로 효과적이다. 또한, 본 발명은 현재 반려동물에게 지급 중인 사료의 영양성분과 원재료를 상세하게 분석하여 영양성분 균형 여부를 판단하고, 나아가 판단된 정보를 바탕으로 개개 반려동물에 특화된 맞춤형 대처 사료와 영양제를 제공할 수 있는 이점이 기대된다.According to 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. In addition, 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.
그리고 본 발명은 시스템에 구축된 반려동물용 큐레이션 알고리즘에 기인하여 해당 반려동물의 발육 상태 및 성장기에 따른 사육 방안을 미리 예측하여 사료의 교체 시기, 영양제 보충, 사육 환경 개선, 건강 검진 날짜 안내 및 예약 등을 지속적으로 안내 가능함으로써 사육자의 반려동물 사육 부담을 최소화할 수 있으므로 더욱 효과적이다.And 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.
이상에서 설명한 본 발명은, 도면에 도시된 일실시 예를 참고로 설명되었으나 이는 예시적인 것에 불과하며, 본 기술 분야의 통상의 지식을 가진 자라면 이로부터 다양한 변형 및 균등한 타 실시 예가 가능하다는 점을 명확히 하여야 할 것이다. 따라서, 본 발명의 진정한 기술적 보호 범위는 첨부된 청구범위에 의하여 해석되어야 하며, 그와 동등한 범위 내에 있는 모든 기술적 사상은 본 발명의 권리범위에 포함되는 것으로 해석되어야 할 것이다.The present invention described above has been described with reference to one embodiment shown in the drawings, but this is merely exemplary, and various modifications and equivalent other embodiments are possible by those skilled in the art. should be made clear. Accordingly, the true technical protection scope of the present invention should be construed by the appended claims, and all technical ideas within the equivalent scope should be construed as being included in the scope of the present invention.
Claims (6)
- 반려동물의 신체 정보와 현 식단 및 사육 환경 정보에 기초하여 현 식단에 대한 상세정보 안내 및 영양성분 균형 여부를 평가한 평가 수치에 기반하여 대체 사료 정보 제공 및 구매가 독려되는 것을 특징으로 하는 반려동물 개별 맞춤형 큐레이션 시스템.Companion animal characterized in that it provides detailed information on the current diet based on the companion animal's body information and the current diet and breeding environment information, and provides information on alternative feeds and encourages purchases based on the evaluation value that evaluates the balance of nutrients Individually tailored curation system.
- 제1항에 있어서,The method of claim 1,네트워크를 기반으로 펫푸드 관련 정보가 수집되는 식품정보 관리부(10); a food information management unit 10 that collects pet food-related information based on a network;요청자가 입력한 PET 관련 정보가 회원 별 저장되는 펫정보 관리부(20);a pet information management unit 20 for storing PET-related information input by the requester for each member;PET 관련 정보를 큐레이션 알고리즘에 기반하여 식단의 영양성분 및 반려동물의 건강 상태가 분석 및 평가되는 사육상태 분석부(30);a breeding state analysis unit 30 that analyzes and evaluates the nutritional components of the diet and the health status of companion animals based on the PET-related information curation algorithm;분석 정보를 토대로 대체 사료나 보조제 또는 사육 방식에 대한 방향 제시 중 적어도 하나 이상의 대안이 판단되어 요청자에게 전달되는 결과 안내부(40);Based on the analysis information, at least one or more alternatives among alternative feeds, supplements, or directions for breeding are determined and delivered to the requester 40;로 구성되는 것을 특징으로 하는 반려동물 개별 맞춤형 큐레이션 시스템.A personalized curation system for companion animals, characterized in that it consists of
- 제2항에 있어서,3. The method of claim 2,상기 식품정보 관리부(10)는 빅데이터 수집 방식에 기인하여 인터넷 상에 등록된 펫푸드 관련 정보가 수집되거나 또는 생산업체와의 협력을 통해 펫푸드 관련정보가 공유되는 것을 특징으로 하는 반려동물 개별 맞춤형 큐레이션 시스템.The food information management unit 10 is a personalized companion animal 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. curation system.
- 제2항에 있어서,3. The method of claim 2,상기 펫정보 관리부(20)는,The pet information management unit 20,반려동물의 종류, 품종, 나이, 성별 정보가 수집되는 품종 입력부(21);a breed input unit 21 for collecting companion animal type, breed, age, and gender information;사육 환경 정보가 수집되는 사육 환경 입력부(22);a breeding environment input unit 22 for collecting breeding environment information;지급 중인 식단 정보가 수집되는 식단 입력부(23);a meal input unit 23 for collecting information about the meal being paid;반려동물의 진료 이력이 조회되는 진료 이력 조회부(24);a medical history inquiry unit 24 that retrieves the medical history of companion animals;로 구성되어 PET 관련 정보가 수집되는 것을 특징으로 하는 반려동물 개별맞춤형 큐레이션 시스템.Personalized curation system for companion animals, characterized in that PET-related information is collected.
- 제2항에 있어서,3. The method of claim 2,상기 사육상태 분석부(30)는,The breeding state analysis unit 30,식품정보 관리부(10)와 연동되어 각 사료에 대한 영양성분 분석 및 분석된 정보에 기초하여 권장 섭취 가이드라인이 생성되는 영양성분 분석부(31);a nutritional component analysis unit 31 that is linked with the food information management unit 10 to generate a recommended intake guideline based on the analysis of nutrients for each feed and the analyzed information;인터넷 상에 등록된 정보 또는 동물병원과의 협력에 기인하여 반려동물의 건강 상태에 대한 의료 기술 정보를 수집하여 권장 진단 가이드라인이 생성되는 건강 상태 분석부(32);a 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 a veterinary hospital to generate recommended diagnostic guidelines;사육 환경 조건에 따른 반려동물의 성장 형태 및 신체 변화 정보를 대량 수집하여 빅데이터화하고, 빅데이터에 기초하여 권장 환경 가이드라인이 생성되는 사육환경 분석부(33);a breeding environment analysis unit 33 that 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;로 구성되어 큐레이션 알고리즘이 구축되는 것을 특징으로 하는 반려동물 개별 맞춤형 큐레이션 시스템.A curation system customized for each companion animal, characterized in that the curation algorithm is built with
- 제2항에 있어서,3. The method of claim 2,상기 결과 안내부(40)는,The result guide unit 40,PET 관련 정보에 기반하여 현재 지급 중인 사료의 충족 또는 불충족을 판단하고, 불충족 판단시 대체 사료를 추적하여 요청자에게 안내되는 사료 평가부(41);a feed evaluation unit 41 that determines whether or not the current feed is satisfied or unsatisfactory based on the PET-related information, and tracks the alternative feed when the non-satisfaction is determined and guides the requester to the feed;PET 관련 정보의 진료 이력과 현재 사육 환경 정보에 기반하여 보조제를 제안하거나 또는 식단 및 체중 조절에 대한 사육 방식 개선이 제안되는 건강 평가부(42);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;로 구성되는 것을 특징으로 하는 반려동물 개별 맞춤형 큐레이션 시스템.A personalized curation system for companion animals, characterized in that it consists of
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