KR102527364B1 - System for providing customized pet food - Google Patents

Abstract

The present invention is a curation system customized for companion animals, which provides customized diets for companion animals, checks health conditions, and guides improvement directions for desirable breeding environments, based on a curation algorithm for pet management built on the basis of big data related to pet food. It relates to 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 entered by a requester for each member, and a curation algorithm for PET-related information Based on the nutrition component of the diet and the health status of the companion animal are analyzed and evaluated, the breeding condition analysis unit 30 determines at least one alternative among alternative feeds or supplements or suggestions for breeding methods based on the analysis information It consists of a result guide unit 40 that is delivered to the requestor.

Description

Companion animal personalized curation system {System for providing customized pet food}

The present invention is disclosed with respect to a curation system customized for companion animals, and more specifically, based on a curation algorithm for pet management built on the basis of pet food-related big data, provision of customized meals for companion animals, confirmation of health status, and desirable It is about a curation system tailored to individual companion animals, in which improvement directions for breeding environments are guided.

Recently, as the housing type has become single-person households or nuclear families due to rapid economic growth, severe loneliness and depression due to lack of interpersonal relationships have been caused.

As a result, companion animals that are easily available around and have excellent sympathy with humans have become targets for relieving loneliness and depression, and various animals including dogs and cats are being selected as companion animals according to individual tastes.

Although the companion animal industry continues to develop as the number of households raising companion animals increases as described above, it was not possible to satisfy all of them because breeding conditions are all different depending on the breed, age, and health condition of companion animals. In addition, even if you search only for dog food on the Internet, a vast amount of information is exposed depending on breed, age group, and producer. Beginners need a lot of thought just by choosing feed.

For the purpose of resolving these concerns, various technologies have been developed that can provide customized pet food. As an example, Registered Patent Publication No. 10-1721053 "Method of Online Sales of Customized Pet Food Made to Order" and Registered Patent Publication 10 -2138271, "Companion animal feed information providing system and method providing customized search and customized recommendation function" is published.

These technologies analyze the ingredients of the pet currently being paid based on items related to the companion animal's body information entered by the orderer using the terminal, detect the raw material mixing ratio of the customized pet food based on the acquired information, and detect the raw material mixing ratio close to the detected raw material mixing ratio. We propose a way to encourage purchase by matching the feed with conditions that sell it.

On the other hand, as another way to solve the troubles, a technology for providing a customized diet or a recipe that can compose the diet has been developed. For example, Patent Publication No. 10-2018-0045795 "Provision of customized diet and recipe for companion animals" Apparatus and method" is published.

The technology collects the type of companion animal and existing diet information from users, and based on the collected information, creates recipes and recipes that can supplement insufficient nutrients and proposes a way to deliver them to users.

As described above, companion animals have different constitutions according to breeds and ages, and can maintain a healthy state only when changes and improvements are continuously made in the diet and breeding environment according to the constitution. Therefore, the existing technology achieves a predetermined purpose by customizing feed and diet, and the present invention also guides customized pet food based on this purpose, as well as checking real-time health conditions and creating the most desirable breeding environment. We developed a curation-based consulting system in which continuous feedback can be made.

Registered Patent Publication No. 10-1721053 "Online sales method of customized pet food" Registered Patent Publication No. 10-2138271 "Companion animal feed information providing system and method providing customized search and customized recommendation" Publication No. 10-2018-0045795 "Apparatus and method for providing customized diet and recipe for companion animals"

The present invention was created to more actively solve the above problems, and guides and provides customized feed and diet based on the current diet information and body information of companion animals, but provides customized feed in cooperation with pet food producers The main task is to provide a system that can expand the diversity of pet food by producing and providing

In addition, the present invention predicts changes in the constitution of companion animals according to the diet, suggests improvements to the breeding method and environment to the user, or guides recommended products according to the growth phase of companion animals, so that companion animals can be bred more easily and conveniently. Providing a system that is compatible is another challenge.

In order to achieve the above problems, the curation system for individual companion animals proposed in the present invention is as follows.

The curation system customized for companion animals of the present invention guides detailed information on the current diet and evaluates and reflects nutritional balance based on the physical information of the companion animal input by the user and the current diet and breeding environment information, and reflects the evaluation value Based on, it is characterized by providing alternative feed information and encouraging purchase.

In detail, 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 entered by a requester for each member, and a curation algorithm for PET-related information Based on the nutrition component of the diet and the health status of the companion animal are analyzed and evaluated, the breeding condition analysis unit 30 determines at least one alternative among alternative feeds or supplements or suggestions for breeding methods based on the analysis information It is characterized in that it consists of a result guide unit 40 delivered to the requester.

In addition, the food information management unit 10 is characterized in that information related to pet food registered on the Internet is collected due to a big data collection method or information related to pet food is shared through cooperation with a producer.

In addition, the pet information management unit 20 includes a breed input unit 21 that receives information about the type, breed, age, and gender of the companion animal, a breeding environment input unit 22 that receives breeding environment information, and diet information being paid. It is composed of a diet input unit 23 that receives an input and a medical history inquiry unit 24 that receives an input of a companion animal's medical history, and is characterized in that PET-related information is collected.

In addition, the breeding condition analysis unit 30 interlocks with the food information management unit 10 to analyze the nutritional components of each feed and generate a recommended intake guideline based on the analyzed information; A health status analysis unit 32 that collects medical technical information on the health status of companion animals due to information registered on the Internet or cooperation with veterinary hospitals and creates recommended diagnosis guidelines, and companion animals according to breeding environmental conditions. It is characterized in that a curation algorithm is built by a breeding environment analysis unit 33 that collects a large amount of animal growth form and body change information, turns it into big data, and generates recommended environmental guidelines based on the big data.

In addition, the result information unit 40 judges whether or not the feed currently being paid is satisfied or unsatisfied based on the PET-related information, and when it is determined to be unsatisfactory, the feed evaluation unit 41 that tracks the alternative feed and guides the requester; It is characterized in that it consists of a health evaluation unit 42 that proposes supplements based on the medical history of PET-related information and current breeding environment information, or proposes improvement in breeding methods for diet and weight control.

On the other hand, the result guidance unit 40 includes a breeding counseling unit 43 that leads to one-to-one matching with a veterinarian of an affiliated animal hospital according to the requester's selection, leading to health-related consulting or medical and treatment-related information acquisition. characterized by being

In addition, the breeding counseling unit 43 is interlocked with the breeding condition 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 diagnoses the companion animal based on the obtained information. It is characterized by immediately determining whether or not.

In addition, the breeding counseling unit 43 is characterized in that a home visit request by a professional pet sitter or veterinarian is made according to the veterinarian's judgment or the requester's selection based on the diagnosis result of the companion animal.

According to the present invention composed of the above-described configuration, the supply of a customized diet suitable for each companion animal leads to constitutional improvement, growth enhancement, and immunity enhancement, thereby always promoting a healthy physical condition and providing feed and diet 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.

In addition, the present invention analyzes the nutritional components and raw materials of the pet food currently being provided to the companion animal in detail to determine the nutritional balance, and furthermore, provides customized coping feed and nutritional supplements specialized for each companion animal based on the determined information. benefits are expected.

In addition, the present invention predicts the breeding plan according to the developmental state and growth period of the companion animal in advance based on the curation algorithm for companion animals built in the system, and guides the timing of changing feed, supplementing nutrients, improving the breeding environment, and health checkup dates It is more effective because it can minimize the burden of breeding companion animals on the breeder by continuously providing guidance on information and reservations.

1 is a view showing the configuration of an individually customized curation system for companion animals constructed according to a preferred embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings, the configuration of the present invention and the resulting actions and effects will be collectively described.

Advantages and features of the present invention, and methods for achieving them, will become clear 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 a variety of different forms, and only the present embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. And like reference numerals designate like elements throughout the specification.

The present invention relates to an individually customized curation system for companion animals for actively inducing improvements in diets, constitutions, and other rearing environments of companion animals.

Above all, the present invention is based on a curation algorithm for pet management built on the basis of pet food-related big data, providing a customized diet for companion animals, checking their health status, and providing guidance on improving the desirable breeding environment. Note that it is related to the ration system.

In particular, providing detailed information on the current diet based on the companion animal's body information and current diet and breeding environment information entered by the user, and providing alternative feed information and encouraging purchase based on evaluation figures evaluating whether or not the balance of nutrients is present It is the main core technology of the present invention.

1 is a diagram showing the configuration of a curation system customized for companion animals according to a preferred embodiment of the present invention.

As shown in FIG. 1, the present invention provides a food information management unit 10 in which pet food-related information is collected based on a network, a pet information management unit 20 in which PET-related information input by a requestor is stored for each member, and PET-related information Based on the curation algorithm, the breeding status analysis unit 30 analyzes and evaluates the nutritional components of the diet and the health status of the companion animal, and at least one alternative of presenting directions for alternative feeds or supplements or breeding methods based on the analysis information. It is composed of a result guidance unit 40 that determines and delivers to the requester.

The food information management unit 10 serves to collect, store, and manage all information related to pet food. The food information management unit 10 collects all pet food information registered on the Internet by utilizing an Internet network connected to a network, and collects information by tracking all products registered in shopping malls as well as related company homepages. For example, if 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 conveyed to the system manager of the present invention, or information may be requested by immediately making an inquiry to the corresponding product manufacturer.

The food information management unit 10 tracks pet food manufacturers and sellers, proposes a partnership request, and collects real-time information on products and new products on sale 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 companies, detects erroneous information such as incorrect information and duplicate information in the analysis process, corrects, removes, and manages. . In addition, product safety and reliability of information are secured by identifying and managing whether the collected products have passed AAFCO and FEDIAF guidelines, whether veterinary nutrition veterinarians have participated in product development, and whether FDA recalls have been made.

On the other hand, pet food here means all foods and medicines produced for the purpose of consumption by companion animals, such as animal feed, nutritional supplements, and snacks.

Like pet food, the pet information management unit 20 transforms and manages animal-related information into big data on the Internet or through partnership with animal-related companies, receives information about companion animals from users, and compares them with animal-related information big data. role of analysis.

The pet information management unit 20 receives history, medical record, 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. Pet-related data information request is a breed input unit (21) that receives physical information of the companion animal The information request for guardian and environment-related data is made by the breeding environment input unit 22 that receives breeding environment information, and the information request for pet food-related data that is currently being paid is a diet that receives diet information being paid. It is made by the input unit 23.

The breed input unit 21 requires input such as the companion animal's medical record, dietary habits, feeding method, age, gender, whether or not neutered, food preference, preference, activity status (vitality index), etc., and the breeding environment input unit 22 ) requires input such as the average consumption cost for companion animals, the type and number of companion animals being bred together, family members living together, and the guardian's dietary philosophy (vegetarian or not). And, the diet input unit 23 requires input of the brand, feed name, and raw material of the currently fed product.

The Physical Examination requires input of weight information and BCS score information, and the Laboratory Test requires input of information such as complete blood cell test, serum chemistry test, microbiome test, differential test, and allergic reaction test. These physical examinations and laboratory tests are performed by the medical history inquiry unit 24 that receives the companion animal's medical history.

The breeding condition analysis unit 30 serves to analyze and evaluate the nutritional components of the diet and the health condition of the companion animal based on the curation algorithm of PET-related information. The curation algorithm is a nutrition 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 built by the linkage and analysis system of the environment analysis unit 33.

The nutrient analysis unit 31 interlocks with the food information management unit 10 to analyze the nutrient components of each food based on information registered on the Internet or information shared by manufacturers in cooperation and based on the analyzed information By doing so, recommended intake guidelines are created.

The health state analysis unit 32 collects medical technical information on the health state of the companion animal due to information registered on the Internet or cooperation with a veterinary hospital, and recommended diagnosis guidelines are generated.

The breeding environment analysis unit 33 collects a large amount of information on growth patterns and body changes of companion animals according to breeding environment conditions, converts them into big data, and creates recommended environmental guidelines based on the big data.

The above recommended intake guidelines, recommended diagnosis guidelines, and environmental guidelines are built through a combination and linkage process of the table below and examples.

<Nutritional components> (value expressed as %) AsFed A. Crude protein B. crude fat C. crude fiber D.Views E. Calcium F.in G. Calcium-Phosphorus Ratio H. Moisture DM a. Crude protein b. crude fat c. crude fiber d.Views e. Calcium f.in g. Calcium-Phosphorus Ratio

*Calculated as G,g→E/F:1

<Calculation of water removal value> x=A,B,C,D,E,F Dehydration Carbohydrate Value (NFE) DM(%) = 100*x/(100-H) NFE=100*(100-A-B-C-D-H)/(100-H)

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 E 1.2≤E≤1.8 1.2≤E≤1.8 0.5≤E≤2.5 0.5≤E≤2.5 1≤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≤G≤2 1≤G≤2 1≤G≤2 1≤G≤2 X X X X a 25≤a≤100 20≤a≤100 18≤a≤100 21≤a≤100 28≤a≤100 28≤a≤100 25≤a≤100 33.3≤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 e 1.0≤e≤1.6 0.8≤e≤1.6 0.5≤e≤1.6 0.58≤e≤1.6 1≤e≤100 1≤e≤100 0.59≤e≤100 0.79≤e≤100 f 0.9≤f≤100 0.7≤f≤100 0.4≤f≤1.6 0.46≤f≤1.6 0.84≤f≤100 0.84≤f≤100 0.5≤f≤100 0.67≤f≤100 g 1≤g≤1.6 1≤g≤1.8 1≤g≤2 1≤g≤2 1≤g≤1.5 1≤g≤1.5 1≤g≤2 1≤g≤2

Tables 1 to 3 above are recommended data tables of nutritional component values.

Nutrition Facts Calculator <DM basis> → Basic crude protein crude fat crude fiber views a b c d carbohydrate calcium person Calcium: Phosphorus Ratio 100*(100-A-B-C-D-H)/(100-H) e f g <As Fed standard> crude protein crude fat crude fiber views A B C D moisture calcium person Calcium: Phosphorus Ratio H E F G

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 according to the above items, the recommended nutritional component values are exposed based on the recommended data table of nutritional component values in Table 1 above do.

payroll calculator A,B,C,D,H values / *Companion animal health status data / Using weight value / [Consideration] If there is no one of A, B, C, D, H, it is exposed as 'cannot be calculated' ㉠ Calculation of estimated calories (ME) of feed ㉡ calculate the animal's daily energy requirements Unit: Kcal/Kg Unit: Kcal/Day dog cat dog cat 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*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*A DER(kcal) = constant X 70(weight in kg)^0.75 ㉢Calculation of daily wages (Unit: g / Day) stock Snack/Health Supplement Feed amount per day (g/Day) = 1000*㉡/㉠ Recommended amount per day (g/Day) = 100*㉡/㉠

Table 5 is a pet food-related feeding amount calculator proposed by the present invention, and the recommended feeding amount for the requester's companion animal is calculated according to the above calculation method.

Companion animal's daily energy requirement constant value dog health a constant cat health a constant Puppies under 4 months old 3 Cats under 12 months 2.5 Puppies over 4 months old and under 12 months old 2 Neutered Adult Grave 1.2 neutered adult dog 1.6 Unneutered Grave 1.4 non-neutered adult dogs 1.8 Adults of obesity tendencies One Adult dogs prone to obesity 1.4 Adult Cats Needing Weight Loss 0.8 Adult Dog Needing Weight Loss One Adult Cats Needing Weight Gain 1.3 critical care One critical care One Adult dogs in early pregnancy (42 days ago) 1.8 early pregnancy adult 1.6 Late pregnancy adult dogs (after 42 days) 3 late pregnancy adult 2

Table 6 above is a table expressing the recommended activity amount of a companion animal as a numerical value and can be applied to the feeding amount calculator in Table 3 above.

Example 1 below is a screen in which the recommended salary amount is calculated and exposed using the salary calculator in Table 6.

<Feed amount calculator according to a preferred embodiment of the present invention>

Nutrition recommendation table for each companion animal's health condition Use the values of a, b, c, d, e, f, g in Table 1 (DM values) Recommended/not recommended/not countable
㉠ Expose as a recommendation if all conditions are met.
㉡ If even one is lacking, it is exposed as non-recommendation.
㉢ If any of the DM data to be calculated is unmarked or non-calcifiable, the non-calculation is exposed. 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

pregnancy and lactation composition puppy cat crude protein 25 to 35 35 to 50 crude fat 20+ 18 to 35 calcium 1 to 1.7 1.1 to 1.6 person 0.7 to 1.3 0.8 to 1.4 Calcium: Phosphorus Ratio 1:1 to 2:1 1:1 to 1.5:1

obesity composition puppy cat crude protein over 25 over 35 crude fat below 9 below 10

chronic kidney disease composition puppy cat crude protein 14 to 20 28 to 35 person 0.2 to 0.5 0.3 to 0.6

urinary stones composition puppy cat crude protein 25 or less 32 to 45 person 0.3 to 0.6 0.5 to 0.9

Constipation composition puppy cat crude fiber 7 or higher 7 or higher

diabetes composition puppy cat crude protein 15 to 35 28 to 55 crude fat 25 or less 25 or less crude fiber 7 to 18 7 to 18

cancer disease composition puppy cat crude protein 30 to 45 40 to 50 crude fat 25 to 40 25 to 40 carbohydrate 25 or less 25 or less

fatty liver composition cat crude protein 30 to 45 crude fat over 25

pancreatitis composition puppy crude fat 15 or less crude protein 15 to 30

Tables 7 to 16 above are recommended data tables that can check the health status of companion animals based on big data information, and based on them, the current health status of the companion animal of the requester is diagnosed.

Example 2 below is a screen on which the result of predicting the health state of a companion animal based on Table 7 is exposed.

<Health condition diagnosis result according to a preferred embodiment of the present invention>

The result guidance unit 40 analyzes and measures the curation algorithm, that is, Tables 1 to 16 in conjunction to derive the same result as in Example 1 or 2, and then substitutes feed or supplements or breeding method based on the analyzed result. At least one or more alternatives are determined and delivered to the requester among the direction suggestions for .

The result informing unit 40 judges whether or not the feed currently being paid is satisfied or unsatisfied based on the PET-related information, and when it is determined to be unsatisfactory, the feed evaluation unit 41, which guides the requester by tracking the alternative feed, and PET-related Based on the medical history of the information and the current breeding environment information, supplements are proposed, or the health evaluation unit 42 proposes improvement in the breeding method for diet and weight control, and is provided to the requester.

In particular, the result information unit 40 includes a breeding counseling unit 43 in which health-related consulting or medical and treatment-related information is obtained by leading one-to-one matching with veterinarians of affiliated animal hospitals according to the requester's selection. provide better service.

As described above, the requester is provided with the companion animal's health examination results analyzed by the curation algorithm, and a one-on-one connection with the veterinarian of the veterinary hospital affiliated with this system is led if questions or consultation are required about the health examination results. In addition, the matched veterinarian can provide immediate consultation based on the diagnosis results analyzed by the curation algorithm without the need to ask the requester about the condition of the companion animal. .

In addition, the breeding counseling unit 43 is configured so that a professional pet sitter or veterinarian may visit the home of the pet sitter or veterinarian according to the judgment of the veterinarian or the requester's choice based on the diagnosis result of the companion animal, so that the companion animal can be reared more conveniently.

As a result, the companion animal curation system of the present invention includes a food information management unit 10 that collects pet food-related information based on a network; and a pet information management unit 20 that stores PET-related information input by a requester for each member; And, based on the curation algorithm of PET-related information, the nutrition component of the diet and the health status of the companion animal are analyzed and evaluated; breeding status analysis unit 30; A result information unit 40 in which at least one or more alternatives are judged and delivered to the requester during direction presentation; provides detailed information on the current diet and nutritional balance based on the companion animal's body information, current diet, and breeding environment information Provide alternative feed information and encourage purchase based on the evaluation figures evaluated. In particular, the result guidance unit 40 judges the satisfaction or non-satisfaction of the currently paid feed based on the PET-related information, and tracks the alternative feed when it is determined to be unsatisfactory, and guides the requester to the feed evaluation unit 41; A health evaluation unit 42 that proposes supplements based on the medical history of PET-related information and current breeding environment information, or proposes improvements in breeding methods for diet and weight control; and an animal affiliated according to the requester's choice A breeding counseling unit 43 leading to one-on-one matching with a veterinarian at the hospital and leading to obtaining health-related consulting or medical and treatment-related information; including, but the breeding counseling unit 43 analyzes the breeding status according to the approval of the requester. The companion animal analysis information is provided to the veterinarian by interlocking the unit 30, and the veterinarian diagnoses the health condition of the companion animal based on the acquired analysis information, and based on the diagnosis result, a professional pet is provided according to the veterinarian's judgment or the requester's choice. The main feature is that a sitter or veterinarian's home visit is requested.

According to the present invention composed of the above-described configuration, the supply of a customized diet suitable for each companion animal leads to constitutional improvement, growth enhancement, and immunity enhancement, thereby always promoting a healthy physical condition and providing feed and diet 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. In addition, the present invention analyzes the nutritional components and raw materials of the pet food currently being provided to the companion animal in detail to determine the nutritional balance, and furthermore, provides customized coping feed and nutritional supplements specialized for each companion animal based on the determined information. benefits are expected.

In addition, the present invention predicts the breeding plan according to the developmental state and growth period of the companion animal in advance based on the curation algorithm for companion animals built in the system, and provides food replacement time, nutrient supplementation, breeding environment improvement, health checkup date information, and It is more effective because it can minimize the burden of breeding companion animals by continuously providing information such as reservations.

The present invention described above has been described with reference to one embodiment shown in the drawings, but this is only exemplary, and those skilled in the art can make various modifications and equivalent other embodiments therefrom. will have to be clarified. Therefore, the true technical protection scope of the present invention should be construed by the appended claims, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

10. Food Information Management Department
20. Pet information management department
30. Breeding condition analysis unit
40. Result guide

Claims (6)

A food information management unit 10 that collects pet food-related information based on a network; and a pet information management unit 20 that stores PET-related information entered by the requester for each member; and PET-related information based on a curation algorithm. A breeding condition analysis unit 30 in which the nutritional components of the diet and the health status of the companion animal are analyzed and evaluated; and, based on the analysis information, at least one alternative of alternative feeds or supplements or suggestions for breeding methods is determined, and the requester Substitute food information based on detailed information on the current diet based on the companion animal's body information, current diet, and breeding environment information, and an evaluation value that evaluates whether nutritional components are balanced. In the companion animal curation system that encourages provision and purchase,
The food information management unit 10 includes collecting pet food-related information registered on the Internet due to the big data collection method and sharing pet food-related information through cooperation with producers, but manufacturing and selling pet food We track companies to propose partnership requests, collect real-time information on products and new products on sale based on continuous information sharing with companies that accept partnership requests, and collect information collected on the Internet and through partnerships with companies. After the information is analyzed in bulk, incorrect information, redundant information, and erroneous information are detected, corrected, and removed during the analysis process, and whether the collected products pass AAFCO and FEDIAF guidelines, whether veterinary nutrition veterinarians participate in product development, and FDA Including contributing to product safety and reliability of information by identifying and managing recalls,
The pet information management unit 20 is based on the history, medical record, physical examination, and laboratory test information entered by the user, but the history and medical record include pet-related data, guardian, and environment-related data, as well as pet currently being paid. Information input of food-related data is requested, pet-related data information request is made by the breed input unit 21 that receives companion animal's body information, and information request of guardian and environment-related data is inputted with rearing environment information. It is made by the breeding environment input unit 22, and the request for information on data related to the pet food currently being paid is made by the diet input unit 23 that receives the diet information being paid, and the physical examination is weight information and BCS score information The Laboratory Test requires input of information on the complete blood cell test, serum chemistry test, microbiome test, differential test, and allergic reaction test, and the Physical Examination and Laboratory Test require input of the companion animal's medical history. Including what is done by the medical history inquiry unit 24,
The breeding condition analysis unit 30 interlocks with the food information management unit 10 to analyze the nutritional components of each feed and to generate recommended intake guidelines based on the analyzed information; a nutrient analysis unit 31; A health status analysis unit 32 that generates recommended diagnosis guidelines by collecting medical technical information on the health status of companion animals due to information registered on the above or cooperation with a veterinary hospital; and companion animals according to breeding environmental conditions. A breeding environment analysis unit (33) that collects a large amount of information on growth patterns and body changes of animals, transforms them into big data, and generates recommended environmental guidelines based on the big data;
The result guidance unit 40 judges whether or not the pet food currently being paid is satisfied or unsatisfied based on the PET-related information, and if the pet food is not satisfied, the feed evaluation unit 41 tracks the alternative pet food and informs the requester; PET A health evaluation unit (42) that proposes supplements based on the medical history of related information and current breeding environment information or suggests improvement in breeding methods for diet and weight control; and, an animal hospital affiliated with the requester's choice A breeding counseling unit 43 leading to one-on-one matching with a veterinarian and leading to health-related consulting or obtaining medical and treatment-related information; (30) is linked to provide companion animal analysis information to the veterinarian, and the veterinarian diagnoses the health condition of the companion animal based on the acquired analysis information, and based on the diagnosis result, a professional pet sitter is provided according to the veterinarian's judgment or the requester's choice. Or, a curation system customized for companion animals, characterized in that a home visit by a veterinarian is requested.
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