KR102271991B1 - System of providing customized information for companion animal care and method thereof - Google Patents

Abstract

The present invention relates to a companion animal rearing customized information providing system and method, and more particularly, by collecting and analyzing basic data, health data, activity data, and environmental data of companion animals according to big data and artificial intelligence algorithms. Recommends food, products and services based on the classification analysis tool and companion animal rearing model, receives feedback data on the food, product and service from the companion animal caregiver, and continuously updates the classification analysis tool and companion animal rearing model By doing so, a system and method for providing customized information for raising companion animals that recommend optimized and customized solutions required for the companion animal in various aspects are provided.

Description

Companion animal rearing customized information providing system and method {SYSTEM OF PROVIDING CUSTOMIZED INFORMATION FOR COMPANION ANIMAL CARE AND METHOD THEREOF}

The present invention relates to a companion animal rearing customized information providing system and method, and more particularly, by collecting and analyzing basic data, health data, activity data, and environmental data of companion animals according to big data and artificial intelligence algorithms. Recommends food, products and services based on the classification analysis tool and companion animal rearing model, receives feedback data on the food, product and service from the companion animal caregiver, and continuously updates the classification analysis tool and companion animal rearing model By doing so, it relates to a companion animal rearing customized information providing system and method for recommending an optimized customized solution required for the companion animal in various aspects.

A companion animal is not the concept of a pet that simply provides food and shelter to the animals we keep and is satisfied by seeing them, but that we also receive something from the animals in such a cohabitation, that is, love, comfort, and each other as companions. It means to be supportive of In other words, companion animals are not simple pets, but animals that live with humans, and are companions and companions living with humans.

It is said that children who live with companion animals are more psychologically stable than children who do not, and their emotional, social, and empathic abilities are higher through continuous relationships with companion animals. In addition, it is said that elderly people suffering from mental illness, living with a companion animal can also improve their mental health by increasing their psychological stability and self-confidence.

Among companion animals, dogs account for the largest share, followed by cats. Nowadays, in addition to the traditional companion animals such as dogs and cats, parrots, hedgehogs, rabbits, and hamsters are becoming more diverse.

On the other hand, according to the research results of the Korea Rural Economic Research Institute, it is estimated that 5.74 million households, 29.4% of 19.52 million households nationwide in 2017, have 6.32 million dogs and 2.43 million cats, and the total number of companion animals is about 874. It is estimated to be 10,000, and the number of breeding populations is estimated to be about 14.81 million.

As of 2014, the size of the companion animal-related industry was KRW 1,568.4 billion, growing at an average annual rate of 14.5%. By industry, the feed industry is at 484.1 billion won, the animal and related supplies industry is 384.9 billion won, the veterinary service industry is 655.1 billion won, funeral and protection services are 33.8 billion won, and insurance is 600 million won.

The number of companion animals is expected to increase steadily and reach 13.2 million by 2027, and the size of the companion animal-related industry is expected to grow from KRW 2.33 trillion in 2017 to KRW 6 trillion in 2027.

In Korea, the demand for companion animals is increasing due to changes in social structure such as the nuclear family and the increase in single-person households, and the scale of related industries is growing rapidly. According to a survey by the Ministry of Agriculture, Food and Rural Affairs in 2018, there are 5.11 million households raising companion animals in Korea, accounting for 23.7% of the total.

Accordingly, the companion animal industry is expanding in all directions, and various and subdivided related products and services are emerging.

For example, if you search for 'Pet Food' on 'Amazon', a global open market, 1.3 million dog food items are found.

However, consumers are deciding where to consume without knowing which products and services are suitable for their pets.

For example, companion animal owners are willing to pay 7,253 won per kg for feed using organic ingredients, 5,868 won for non-allergic feed, and 2,386 won for feed using domestic raw materials. being analyzed.

A supply strategy is needed that identifies the characteristics and preferences of these companion animal owners and suggests corresponding feeds, products, and services.

The service that recommends customized products according to companion animal information is currently being developed and provided mainly in the food industry, and the service mainly takes the form of regular food delivery.

It is not a customized product that compares various companies and product lines with each other, but a structure that allows users to directly select a suitable product option among several food recipes provided by each company.

For example, Korea's Olfin measures the nutritional balance of companion animals and manufactures and supplies customized health products.

Meanwhile, Korea's 'Petchio' provides customized handmade snacks and toy regular delivery services by combining essential and optional care items for each dog breed.

'Oli' in the US provides a service that delivers customized and cooked meals to pets on a regular basis.

In Korean Patent Laid-Open Patent No. 10-2019-0084505, products from a plurality of shopping malls, manufacturers, distributors, and sellers' sites are collected on one page so that they can be identified at a glance, but by rolling circulation mainly of new products, users can Even if you do not search for other items by scrolling, you can check various new products on the main page without additional manipulation, and by generating and assigning an identification code that can identify your companion animal, you do not have to enter information multiple times even if you use multiple shopping malls Disclosed is a method for providing a new companion animal product information service that allows a customized product to be searched.

Meanwhile, in Korean Patent Registration No. 10-1977965, in a user terminal including an input/output unit, a processor, and a memory, the memory includes: an information registration module implemented to register user information and entity information; a weight management module configured to receive weight information of an individual corresponding to the individual information; a feed amount management module configured to receive feed amount information consumed by the individual, and calculate an intake amount for each component through the input feed amount information; and a fecal management module implemented to receive the fecal status information of the individual, including, generating and providing customized information for the individual in consideration of at least one of the weight information, the feed amount information, and the fecal status information A user terminal for managing pets is disclosed.

On the other hand, in Korea Patent Registration 10-1940416, a companion animal consulting service providing method that distributes companion animal consulting cases to consultants, provides a standardized consulting report to companion animal owners, and further connects companion animal related services based on the report and systems thereof.

However, the current health management of companion animals is a situation in which most of the companion animal owners do not deviate from the primitive form of visually checking the condition of the companion animal to control the amount of food or exercise it. In other words, there was a problem in that it was not possible to provide a systematic training program such as performing a diet or adjusting the amount of exercise according to the change in the health status of the companion animal.

In addition, when the health management of companion animals is entrusted to a specialist (consultant) such as a veterinarian, the high cost structure becomes dependent on the information provided unilaterally by the expert and becomes the focus of post-response for disease outbreaks rather than daily health care. It becomes fixed, and accordingly, it becomes a great economic burden for the owner.

That is, the conventional techniques have been developed only for some limited purposes and management of limited information related to the rearing of companion animals, and there is a disadvantage in that it is not possible to receive integrated customized products and services according to the individual characteristics of each companion animal.

Korean Patent Publication [10-2019-0084505] (published date: 2019. 07. 17) Korean Patent Registration [10-1977965] (Registration Date: 2019. 05. 07) Korean Patent Registration [10-10-1940416] (Registration Date: 2019.01.14)

Accordingly, the present invention has been devised to solve the above problems, and an object of the present invention is to collect basic data, health data, activity data, and environment data of companion animals according to big data and artificial intelligence algorithms, and It analyzes and recommends food, products and services based on the classification analysis tool and companion animal rearing model, and receives feedback data on the food, product and service from the caregiver of the companion animal to continue the classification analysis tool and the companion animal rearing model. By updating to , it is to provide a companion animal rearing customized information providing system and method for recommending an optimized customized solution required for the companion animal in various aspects.

The purpose of the embodiments of the present invention is not limited to the above-mentioned purpose, and other objects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. .

In order to achieve the above object, the companion animal rearing customized information providing system according to an embodiment of the present invention provides a graphic user interface necessary for transmitting and receiving data for providing the companion animal rearing customized information to the user terminal ( Interface unit 101 for providing to 110, 120, 130; a processing unit 103 for analyzing data transmitted/received through the interface unit based on big data and artificial intelligence algorithms to perform various processes for providing information tailored to the rearing of the companion animal; a database management unit 104 for storing member information, companion animal rearing models, recommended products, classification analysis tools, and feedback data; an analysis unit 105 for generating a new model by analyzing the data received through the user terminal based on the classification analysis tool and the companion animal rearing model, and updating the classification analysis tool and the companion animal rearing model by applying it; and a control unit 102 for controlling the data flow between the interface unit, the processing unit, the database management unit, and the analysis unit.

The processing unit 103 receives basic data, health data, activity data and environment data of a companion animal to be provided with a companion animal rearing customized information service through the user terminal, and receives basic analysis data, health analysis data, activity analysis data , and a data collection unit 301 for collecting environmental analysis data; a data analysis unit 302 for analyzing the necessary parenting factors from the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data based on the classification analysis tool; Based on the classification analysis tool, from the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data, to create a report including an opinion on the companion animal for parenting element items and sub-categories of each item a report writing unit 303 for; a recommendation product determination unit 304 for recommending childcare services and products that supplement and strengthen the necessary parenting elements based on the companion animal rearing model; A feedback input unit 305 for receiving primary feedback data including at least one of satisfaction with the recommendation result for the recommendation result, the intention to use the recommended product, the companion animal developmental status of the recommendation result, and the suitability for the rearing environment through the user terminal ; and a reliability evaluation unit 306 for receiving secondary feedback data on the re-evaluated recommendation result after the companion animal and the guardian use the recommended parenting service and product to evaluate the reliability of the service and product. characterized in that it includes, wherein the basic analysis data includes the breed, age, sex, and neutering operation of the companion animal, and the health analysis data includes the companion animal's weight, body type, food allergy, disease, major Including health problems and other peculiarities, the activity analysis data is a method of measuring the activity of the companion animal through a separate application, and the guardian through play or walk suggested by the companion animal rearing customized information providing system. It is characterized in that it is collected through a method of recording the activity history of a companion animal or through a professional offline inspection of the companion animal, and the environmental analysis data is a residential type (indoor/outdoor, yard or not, apartment/house), activity possible Facility availability, indoor/outdoor activity hours or frequency, kindergarten/school/training center use and frequency of use, number of primary caregivers, number of meals per day, meal time, amount of meals and snacks provided, number of family members in the companion animal family, economics of caregivers It is characterized in that it includes a margin, and the secondary feedback data is, the utilization and satisfaction of the recommended parenting service and product, the fitness for the developmental stage of the companion animal, the fitness for the rearing environment, the fitness for the tendency of the companion animal , it is characterized in that it includes at least one of suitability, reliability, repurchase intention, and recommendation satisfaction for the breed and age of the companion animal.

The analysis unit 105 is configured to process the basic analysis data, the health analysis data, the activity analysis data, the environment analysis data, the primary feedback data, and the secondary feedback data based on the classification analysis tool. data reception processing unit 401; a characteristic extraction unit 402 for extracting a parenting plan element mapping characteristic from the processed data; a learning and reasoning unit 403 for establishing a new classification standard and companion animal rearing model by learning and inferring from the extracted parenting plan element mapping characteristics based on the companion animal rearing model; a feasibility review unit 404 for reviewing the new classification criteria and the feasibility of the companion animal rearing model; a classification criterion adding unit 405 for adding the new classification criterion to the classification analysis tool database; and a parenting modeling unit 406 for updating the companion animal rearing model according to the new classification criteria.

In addition, the method for providing customized companion animal rearing information according to an embodiment of the present invention includes: a data collection step of collecting data on companion animals and their guardians (S710); A data analysis step of analyzing the collected data (S720); an analysis report providing step of providing an analysis report for the analyzed data (S730); a service recommendation step of recommending a customized childcare service according to the analysis result (S740); an information providing step (S750) of providing characteristics and information of the recommended parenting service; A first feedback receiving step of receiving the first feedback data for the recommendation result (S760); A second feedback receiving step (S770) of receiving secondary feedback data for the recommendation result by re-evaluating after using the recommended customized parenting service; and an update step (S780) of updating the classification analysis tool database and the companion animal rearing model database.

The data collecting step (S710) includes: a first collecting step of collecting basic analysis data of the companion animal; a second collection step of collecting health analysis data of the companion animal; a third collection step of collecting activity analysis data through activity analysis of the companion animal; and a fourth collection step of collecting the external environment analysis data of the companion animal.

The basic analysis data includes the breed, age, sex, and neutering operation of the companion animal, and the health analysis data is the companion animal's weight, body type, food allergy, disease, major health problems, and other specific matters. Including, the activity analysis data is a method of measuring the activity of the companion animal through a separate application, and the guardian records the activity of the companion animal through play or walk suggested by the companion animal rearing customized information providing system. method, or characterized in that it is collected through a professional offline inspection of the companion animal, and the environmental analysis data is a residential type (indoor/outdoor, yard or not, apartment/house), active facility, indoor/outdoor activity Time or frequency, whether kindergarten / school / training center use and frequency of use, number of primary caregivers, number of meals per day, meal time, amount of meals and snacks provided, number of family members in the companion animal family, and economic leeway of caregivers do.

In the data analysis step (S720), based on the classification analysis tool database, the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data are characterized in that the necessary parenting factors are analyzed, and the necessary parenting The elements are characterized by including a health element, a nutritional element, an emotional element, an educational element, and a training element.

The service recommendation step (S740), based on the companion animal rearing model, is characterized in that it recommends childcare services and products that supplement and strengthen the necessary parenting elements, and the information providing step (S750) includes the recommended Characterized in providing parenting services and product features, purchase information, purchase sites, and feedback information of other users.

In the second feedback receiving step (S770), the guardian receives the secondary feedback data for the re-evaluated recommendation result after using the recommended parenting service and product, wherein the secondary feedback data is the recommended Among the utilization and satisfaction of childcare services and products, the suitability for the developmental stage of the companion animal, the fitness for the rearing environment, the fitness for the tendency of the companion animal, the suitability for the breed and age of the companion animal, the reliability, the satisfaction with the repurchase intention and recommendation It is characterized in that it includes at least one.

The updating step (S780) is to process the basic analysis data, the health analysis data, the activity analysis data, the environment analysis data, the primary feedback data, and the secondary feedback data based on the classification analysis tool database. data reception processing step; a feature extraction step of extracting a parenting plan element mapping feature from the processed data; a learning and inference step of establishing a new classification standard and companion animal rearing model by learning and inferring from the extracted parenting plan element mapping characteristics based on the companion animal rearing model database; a feasibility review step of reviewing the new classification criteria and the feasibility of the companion animal rearing model; a classification criterion adding step of adding the new classification criterion to the classification analysis tool database; and a companion animal rearing modeling step of updating the companion animal rearing model according to the new classification criteria.

In addition, according to an embodiment of the present invention, it is characterized in that a computer-readable recording medium storing a program for implementing the method for providing the companion animal rearing customized information is provided.

In addition, according to an embodiment of the present invention, in order to implement the method for providing the companion animal rearing customized information, a program stored in a computer-readable recording medium is provided.

According to the companion animal rearing customized information providing system and method according to an embodiment of the present invention, basic data, health data, activity data, and environment data of companion animals are collected and analyzed according to big data and artificial intelligence algorithms. Recommends food, products and services based on the classification analysis tool and companion animal rearing model, receives feedback data on the food, product and service from the companion animal caregiver, and continuously updates the classification analysis tool and companion animal rearing model By doing so, there is an effect of being able to recommend an optimized customized solution required for the companion animal in various aspects.

In addition, according to the companion animal rearing customized information providing system and method according to an embodiment of the present invention, it is possible to overcome the limitations of the existing service provision pattern fixed for each breed or age. therefore. By providing a path to purchase food, products and services that can meet the diverse needs of companion animals with different developmental and health conditions, the time for managing companion animals in modern people who lack time, appropriate food and products. And it has the effect of reducing all kinds of costs that are invested until searching for services.

In addition, according to the companion animal rearing customized information providing system and method according to an embodiment of the present invention, various environmental factors are comprehensively examined and services for health, disposition, and temperament are analyzed in an integrated manner to nurture companion animals. Because it recommends food, products and services, it can improve the effect of disease management and health improvement of companion animals.

In addition, according to the companion animal rearing customized information providing system and method according to an embodiment of the present invention, the existing companion animal related service supply system provides the service centered on the provider, but customized companion animal centered on the consumer (consumer). It has the effect of being able to select and receive animal care services.

On the other hand, according to the companion animal rearing customized information providing system and method according to an embodiment of the present invention, there is an effect that can contribute to improving the problem of abandonment of companion animals by increasing the convenience of managing companion animals.

In addition, according to the companion animal rearing customized information providing system and method according to an embodiment of the present invention, users who are expected to have a high degree of interest and purchase in products and services for companion animals are connected with companion animal related industry providers. This has the effect of reducing marketing costs and increasing investment in improving the quality of products and services, which in turn can improve the quality of the entire companion animal-related industry.

1 is a configuration diagram of an entire system including a companion animal rearing customized information providing system according to an embodiment of the present invention;
Figure 2 is a brief explanatory diagram of one embodiment of data input and output of the companion animal rearing customized information providing system according to the present invention.
3 is a detailed configuration diagram of an embodiment of the processing unit 103 in the companion animal rearing customized information providing system 100 of FIG. 1 .
4 is a detailed configuration diagram of an analysis unit 105 in the companion animal rearing customized information providing system 100 of FIG. 1 .
5A to 5C are explanatory diagrams of one embodiment of classification criteria stored in a classification analysis tool database of a companion animal rearing customized information providing system according to the present invention.
6A and 6B are explanatory diagrams of one embodiment of the result data classification criteria stored in the recommendation product database of the companion animal rearing customized information providing system according to the present invention.
7 is a flowchart of an embodiment of a method for providing customized information for raising companion animals according to the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be

On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that no other element is present in the middle.

The terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, process, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the existence or addition of numbers, processes, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings. Prior to this, the terms or words used in the present specification and claims should not be construed as being limited to conventional or dictionary meanings, and the inventor should properly understand the concept of the term in order to best describe his invention. Based on the principle that can be defined, it should be interpreted as meaning and concept consistent with the technical idea of the present invention. In addition, if there is no other definition in the technical terms and scientific terms used, it has the meaning commonly understood by those of ordinary skill in the art to which this invention belongs, and the summary of the present invention in the following description and accompanying drawings Descriptions of known functions and configurations that may be unnecessarily obscure will be omitted. The drawings introduced below are provided as examples in order to sufficiently convey the spirit of the present invention to those skilled in the art. Accordingly, the present invention is not limited to the drawings presented below and may be embodied in other forms. Also, like reference numerals refer to like elements throughout. It should be noted that the same components in the drawings are denoted by the same reference numerals wherever possible.

Due to new types of multimedia contents, wide expansion of social network service (SNS), and the spread and use of smart devices, the amount of data generated and distributed on the web is increasing exponentially. The enormous amount of data that exists and continues to grow on the web can be used to interpret the world. This is 'big data'.

In simple terms, Big Data refers to a vast amount of digitized information. By filtering out unnecessary data from big data and extracting and analyzing only useful information, it is possible to read people's thoughts, opinions, and trends, and further predict their behavior in advance. Big data is one of the next-generation information technology (IT) technologies that are currently in the spotlight not only in Korea but also around the world due to such usefulness.

Big data refers to a data set that goes beyond the existing data collection, storage, management, and analysis capabilities. Big data may be classified into structured data, semi-structured data, and unstructured data according to the degree of standardization.

Structured data refers to data stored in a fixed field. In other words, it refers to data stored in a certain format. Semi-structured data refers to data that is not stored in fixed fields, but includes metadata or schema. Examples of semi-structured data include Extensible Mark-up Language (XML) and Hypertext Mark-up Language (HTML). Unstructured data refers to data that is not stored in a fixed field. Examples of the unstructured data include text documents, image data, video data, and voice data.

The system for providing customized information for raising companion animals using big data and artificial intelligence according to the present invention can collect and analyze the big data as described above. Examples of big data analysis techniques include text mining, opinion mining, social network analysis, cluster analysis, neural network analysis, and markov model. However, it is not limited to the illustrated analysis techniques.

Text mining is a technology for extracting and processing useful information from semi-structured text data or unstructured text data based on natural language processing technology. Natural language processing (NLP) technology is a technology that enables natural language understanding and natural language generation. Natural language is a term used by humans to communicate, as opposed to artificial language (computer language). Natural language understanding refers to the mechanical analysis of natural language into a form that can be understood by a computer. Natural language generation refers to enabling computers to output natural language. Natural language processing technology consists of morphological analysis, syntax analysis, semantic analysis, and pragmatic analysis.

Reputation analysis is performed on structured text and unstructured text in social media such as blog, social network service (SNS), wiki, handcrafted product (UCC), micro-blog, etc. It is a technology that collects and analyzes text to determine the reputation (eg, positive, negative, neutral) of a product or service.

Social network analysis is a technique for analyzing and extracting a user's influence, interest, and tendency based on a social network connection structure and connection strength.

Cluster analysis is a technique for finally discovering groups with similar characteristics while merging individuals with similar characteristics.

In the present invention, a clustering technique or the like for data mining is used.

On the other hand, AI (Artificial Intelligence) is one of the fields that will not stop developing as long as the present human beings survive. As all devices and things become connected and intelligent, AI will play a role in bringing order to complex societies and making them work as predictable systems. This is the essence of the changes brought about by the 4th industrial revolution.

Essential to these changes and developments are vast complex computational and cognitive abilities. It makes decisions by calculating the number of cases, and accumulates the results of more choices through self-learning. The coherence of selection will continue to increase, and it will develop while breaking through the limits of judgment that humans cannot dare to overcome. This phenomenon has already been confirmed by AI AlphaGo winning two matches against the world's No. 1 Go player.

It has been a long time since the term AI appeared, but unlike the past, when it was limited to specific areas such as computers and computation, in the present day, high-level human information processing activities such as cognition, learning, and reasoning are studied and the entire base technology implemented through ICT has become a comprehensive concept.

AI technology is widely used in everyday life such as robots, autonomous vehicles, virtual assistant services, and drones. For this reason, the Ministry of Science, ICT and Future Planning is working to respond to the technological revolution based on 'intelligence' by naming it 'intelligent information technology' instead of AI.

In the case of IBM, which can be said to be the strongest player in the AI field as much as AlphaGo, it developed the supercomputer 'Watson', which won the famous US quiz show 'Jeopardy' in 2011, and expanded it into a new field of cognitive computing. . In other words, cognitive learning is possible through artificial intelligence.

Here, cognitive learning is a form of learning, and refers to a form of learning that occurs through a psychological process that cannot be visually or directly observed, particularly a cognitive process. Specifically, subtypes included in cognitive learning are insight learning, latent learning, observational learning, and the like.

Recently, as the development and interest in artificial intelligence technology increases, technologies applying it are emerging. As a field of artificial intelligence technology, machine learning is receiving a lot of attention through various media.

Machine learning, also called machine learning, is a technology that allows computers to learn from data and understand objects or situations like humans. Algorithms that enable computers to analyze data in a technical way that find and classify patterns while training themselves are key. By making sophisticated algorithms that use data, computers can learn on their own and provide meaningful results to users.

Different from machine learning, there is self-learning, a technology that analyzes patterns of input data based on data and learns according to classified patterns. It is a technology that uses a method of applying the learned reasoning according to the pattern to the field deployed based on the learned type. It is different from machine learning, which improves performance by itself based on knowledge acquired from experience in a predictive model based on repetitive learning.

After all, in the case of the conventional self-learning system, it is possible to store and control learning data through self-learning for predefined, that is, frequently used standardized patterns, but self-learning is not possible for new data, that is, unstructured data. there was no However, through cognitive learning of big data and artificial intelligence, learning and inference have become possible even on unstructured data.

Unlike the existing service that prepares and provides an appropriate diet by collecting only information of companion animals, the present invention additionally collects companion animal rearing environment information of the guardian (caregiver) and confirms and collects information of companion animals in more detail. It is possible to increase the suitability of the recommendation result and the user's usability.

1 is a configuration diagram of an entire system including a companion animal rearing customized information providing system according to an embodiment of the present invention.

Referring to FIG. 1 , a system 100 for providing customized information for raising companion animals according to the present invention, which communicates with a first user terminal 110 , a second user terminal 120 , and a third user terminal 130 through a communication network includes an interface unit 101 , a control unit 102 , a processing unit 103 , a database management unit 104 , and an analysis unit 105 . At least some of the interface unit 101 , the control unit 102 , the processing unit 103 , the database management unit 104 , and the analysis unit 105 communicate with the companion animal rearing customized information providing system 100 . It can be program modules that do. These program modules may be included in the companion animal rearing customized information providing system 100 in the form of an operating system, an application program module, and other program modules, and may be physically stored in various known storage devices. In addition, these program modules may be stored in a remote storage device capable of communicating with the companion animal rearing customized information providing system 100 . Meanwhile, these program modules include, but are not limited to, routines, subroutines, programs, objects, components, data structures, etc. that perform specific tasks or execute specific abstract data types according to the present invention.

Here, the communication network may be configured regardless of its communication mode, such as wired and wireless, and includes a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN). It can be composed of various communication networks such as Preferably, the communication network referred to in the present invention may be a known World Wide Web (WWW).

The companion animal rearing customized information providing system 100 communicates with the first user terminal 110 , the second user terminal 120 , and the third user terminal 130 through a communication network, and the user terminal 110 , 120, 130) to/from, transmits/receives data necessary to provide customized information for raising companion animals.

The user terminals 110 , 120 , 130 include a function that allows a person interested in establishing a companion animal parenting consulting to connect to the companion animal rearing customized information providing system 100 through a communication network and then communicate As a digital device, any digital device equipped with a memory means and equipped with a microprocessor, such as a personal computer (for example, a desktop computer, a notebook computer, etc.), a workstation, a PDA, a web pad, a mobile phone, etc. It can be adopted as the user terminals 110 , 120 , 130 according to the present invention.

On the other hand, the interface unit 101 interfaces so that the companion animal rearing customized information providing system 100 can communicate with the user terminals 110 , 120 , 130 , and provides data for providing customized parenting information for companion animals. A graphic user interface necessary for transmission and reception may be provided to the user terminals 110 , 120 , and 130 .

The control unit 102 performs a function of controlling the flow of data between the interface unit 101 as described above, the processing unit 103 to be described later, the database management unit 104 and the analysis unit 105 .

The processing unit 103 performs various processes for providing information tailored to the rearing of companion animals based on data transmitted and received through the interface unit 101 based on big data and artificial intelligence algorithms. Such processing according to the present invention will be described later.

The database management unit 104 includes a member database 104a for managing personal information by registering as a member a caregiver (guardian) of a companion animal, which is the object of establishing a parenting consulting for a companion animal, and various data delivered from the member. The companion animal rearing model database 104b storing the companion animal rearing model created by learning from the companion animal, and a recommended product for managing the product (food, product or service) to be recommended to the companion animal based on the companion animal rearing model A database 104c, a classification analysis tool database 104d that stores various classification criteria for classifying parenting factors and an algorithm for setting the classification criteria based on data input from the caregiver (guardian), and the recommended product. and a feedback database 104e for storing user feedback in accordance with the information.

For example, the member database 104b includes identification information such as login ID and password used by members, such as caregivers (guardians) of companion animals to log in to receive companion animal rearing customized information providing service, name, resident registration number, It may include information about contact information and the like. This member database 104a may be referenced by the processing unit 103 .

The companion animal rearing model database 104b stores a companion animal rearing model necessary to provide information tailored to the rearing of companion animals.

The recommended product database 104c stores detailed information related to recommended products and methods and criteria for classifying the recommended products, and the classification and analysis tool database 104d is an analysis analyzed from the received data and the received plurality of data. Mapping information between a method and standard for classifying data and a service or recommended product to be recommended according to the classification method and standard is stored. In addition, the recommended product database 104 stores the characteristics of the parenting service and product, purchase information, purchase site, and feedback information of other users.

The feedback database 104e stores information related to a satisfaction survey for a recommended product. The satisfaction includes a recommendation satisfaction level before use according to a recommended product, a usage satisfaction level after use or according to a service receiving period, and a companion animal rearing related satisfaction level.

In the above embodiment, the database for storing information for the implementation of the present invention is a member database 104a, a companion animal rearing model database 104b, a recommended product database 104c, a classification analysis tool database 104d, and a feedback database 104e. ), but the configuration of the database including this classification may be changed according to the needs of those skilled in the art.

Meanwhile, in the present invention, a database is a concept that includes not only a narrow database but also a database in a broad sense including data records based on a computer file system. It should be understood that if the data of the data can be extracted, it can be included in the database according to the present invention.

Meanwhile, the companion animal rearing customized information providing system 100 may be used to purchase and pay for the recommended product through data communication with the payment server 140 .

Meanwhile, the companion animal rearing customized information providing system 100 may receive activity analysis data of the companion animal through communication with the application providing server 150 for activity analysis. For example, by attaching a motion sensor to the companion animal and measuring the actual amount of activity for 24 to 72 hours, activity analysis data can be obtained.

The analysis unit 105 analyzes data received through a user terminal or data collected from a separate application for activity analysis based on the companion animal rearing model database 104b using big data and artificial intelligence algorithms. Thus, a new model is created and applied to continuously update the classification analysis tool database 104d and the companion animal rearing model database 104b.

That is, the system 100 for providing customized information for raising companion animals according to the present invention is characterized in that it provides a method of recommending customized products and services required for each companion animal by using a data mining algorithm and a machine learning algorithm of big data. .

Figure 2 is a brief explanatory diagram of one embodiment of data input and output of the system for providing customized information for raising companion animals according to the present invention.

As shown in FIG. 2 , the companion animal rearing customized information providing system 100 receives basic data, health data, activity data and environment data, and receives basic analysis data, health analysis data, activity analysis data, and environment analysis, respectively. When collecting data (210) and collecting feedback data from the satisfaction survey (220), customized products and services are recommended from the collected basic analysis data, health analysis data, activity analysis data, environment analysis data and feedback data ( 230).

The recommended companion animal customized products and services include feed, snacks, toys, hygiene products, walking products, other companion animal products, hospitals, training centers, and related policies (public institution services).

3 is a detailed configuration diagram of the processing unit 103 in the companion animal rearing customized information providing system 100 of FIG. 1 .

As shown in FIG. 3 , the processing unit 103 of the companion animal rearing customized information providing system 100 according to the present invention includes a data collection unit 301 , a data analysis unit 302 , a report creation unit 303 , It includes a recommended product determination unit 304 , a feedback input unit 305 , and a reliability evaluation unit 306 .

The data collection unit 301 receives basic data, health data, activity data, environment data, etc. for companion animals who want to receive companion animal rearing customized information providing service, basic analysis data, health analysis data, activity analysis data, and It is collected as environmental analysis data.

The basic analysis data includes the breed, age, sex, neutering operation of the companion animal, and the like.

The health analysis data includes a companion animal's weight, body type, food allergy, disease, major health problem, and other specific matters.

The activity analysis data is a method of measuring the activity of the companion animal through a separate application, a method of recording the activity of the companion animal through play or a walk suggested by the guardian customized information providing system for raising companion animals, or It can be obtained through a method of collecting through a professional offline inspection of the companion animal.

The environmental analysis data includes the type of housing (indoor/outdoor, yard or not, apartment/house), whether activity is possible, time or frequency of indoor/outdoor activity, whether or not to use kindergarten/school/training center and frequency of use, number of primary caregivers, It includes the number of meals per day, meal times, the amount of meals and snacks provided, the number of family members in the pet family, and the financial leeway of the caregiver.

Based on the classification and analysis tool database 104d, the data analysis unit 302 calculates complementary points according to the developmental stage and health status of the companion animal from the basic analysis data, health analysis data, activity analysis data, and environment analysis data. Analyze. Accordingly, the necessary parenting factors are analyzed. The necessary nurturing factors include a health component, a nutritional component, an emotional component, an educational component, a training component, and a medical component, and the like.

The report writing unit 303 writes a report including opinions on the companion animal for parenting element items and sub-categories of each item from the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data. do.

The recommended product determination unit 304 determines customized childcare services and products that supplement and strengthen the necessary parenting elements according to the analysis result of the data analysis unit 302 based on the companion animal rearing model.

The recommended product determination unit 304 extracts and recommends at least one or more customized product information corresponding to the necessary parenting factors for companion animals, and the recommended parenting service and product characteristics, purchase information, purchase site, and other users provide their feedback information.

The feedback input unit 305 receives primary feedback data for a recommendation result. The primary feedback data includes at least one of satisfaction with the recommendation result, the intention to use the recommended product, the companion animal's foot-foot state of the recommendation result, and suitability for the rearing environment.

The reliability evaluation unit 306 receives the secondary feedback data of the recommendation result from the user after using the recommended parenting service and product, and evaluates the reliability of the parenting service and product.

The secondary feedback data includes the utilization and satisfaction of the recommended parenting services and products, the suitability for the developmental stage of the companion animal, the fitness for the rearing environment, the fitness for the tendency of the companion animal, the breed and age of the companion animal. It includes at least one of suitability, reliability, repurchase intention, and recommendation satisfaction.

4 is a detailed configuration diagram of the analysis unit 105 in the companion animal rearing customized information providing system 100 of FIG. 1 .

As shown in FIG. 4 , the analysis unit 105 of the companion animal rearing customized information providing system 100 according to the present invention includes a data reception processing unit 401 , a characteristic extraction unit 402 , and a learning and inference unit 403 . ), a feasibility study unit 404 , a classification standard addition unit 405 , and a parenting modeling unit 406 .

The data receiving processing unit 401 is based on the classification analysis tool database 104d, the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data, the primary feedback data, and the secondary feedback data to process

The characteristic extraction unit 402 extracts the parenting plan element mapping characteristic from the data processed by the data reception processing unit 401 with reference to the data of the classification analysis tool database 104d.

The learning and inference unit 403 establishes a new classification standard and companion animal rearing model by learning and inferring from the extracted parenting plan element mapping characteristics based on the companion animal rearing model database 104b.

The validity review unit 404 examines the validity of the new classification standard and companion animal rearing model accordingly.

In this case, the validity of the new classification standard and the companion animal rearing model can be verified through an expert.

The classification criterion adding unit 405 adds the new classification criterion to the classification analysis tool database 104d.

The parenting modeling unit 406 updates the companion animal rearing model database 104b by generating a new companion animal rearing model according to the new classification criteria.

5A to 5C are explanatory diagrams illustrating classification criteria stored in the classification analysis tool database of the companion animal rearing customized information providing system according to the present invention.

5A to 5C , the collected data is classified into fixed data and variable data, the fixed data includes basic data for basic analysis, and the variable data includes health data for health analysis and activity data for activity analysis. and environmental data for environmental analysis.

First, criteria and corresponding questions to classify for basic analysis (basic data) are shown as examples.

Basic data include breed, age, gender, and whether or not neutering was performed.

First, a dog/cat is selected, and in detail, a breed is selected to classify a large dog/large cat, or the characteristics of each breed are identified. It may include a single species, a mixture of two species, or a mix of unknown origin.

The age receives the estimated birthday and classifies the Puppy/Keaton, the adult dog (adult), and the old dog (senior).

The gender is inputted whether it is female or male, and whether or not neutering is performed.

On the other hand, the criteria and corresponding questions for classification for health analysis (health data) are as follows.

Health data includes weight, body shape, food allergies, illnesses, major health problems, and other health specifics.

The weight is entered by the caregiver (guardian), but the weight loss/increase/maintenance is determined based on the basic data (specific species, age), and weight loss/increase/maintenance is determined based on weight change history

The body type is chosen whether it is very skinny, skinny, moderate, chubby or fat.

For food allergy, various foods are presented and selected or inputted manually.

Disease is a disease that a companion animal suffers from, and common diseases are presented so that they can be selected or manually entered.

Major health problems include hair quality, intestinal health/digestion/feces, teeth, heart, kidney/urinary tract disease, liver disease, joint, stress, aging (brain function), skin, allergy, diet, immunity, hairball, urinary ( urinary tract), tears, vitality, pregnancy, childbirth, etc.

As for other health features, I often have diarrhea, I have a picky appetite, and I have never eaten natural (raw) food. Present options that express symptoms such as weak teeth or weak skin, or input them manually.

On the other hand, the criteria and corresponding questions to be classified for activity analysis (activity data) are as follows.

Activity data includes activity levels, including little activity (I hate moving), low activity (I like to be at home), moderate (I like moderate exercise), active (I like walking), and Choose between being very active (let's go for a walk again!).

Meanwhile, activity analysis data of the corresponding companion animal may be transmitted through communication with the application providing server 150 for activity analysis. For example, it is possible to obtain activity analysis data by attaching a motion sensor to a companion animal and measuring the actual amount of activity for 24 to 48 hours.

Meanwhile, mood and response questions classified for environmental analysis (environmental data) are as follows.

Environmental data include housing type, nearby facilities, economic conditions, number of caregivers, and the like.

The housing type includes a multi-family house (detached house, apartment, etc.), an indoor house without a yard, an indoor house with a yard, and an outdoor house.

The proximity facility is selected according to the characteristics and distance of the walkable place. For example, it includes whether the walkable place is wide and close, wide and far, narrow and close, narrow and far, and the like.

Receive input on whether food and products for companion animals are financially burdensome, whether there are multiple caregivers, whether the companion animal spends a lot of time alone, and how many hours a day if there is a lot of it, and the number of meals a companion animal eats. , meal time, snack availability, active caregiver status, and whether to use consignment service/kindergarten/hagwon.

6A and 6B are explanatory diagrams of an exemplary embodiment of the result data classification criteria stored in the recommendation product database of the companion animal rearing customized information providing system according to the present invention.

6A and 6B , the result data includes food, hygiene products, services, and toys. For example, pet food (feeds, snacks, nutritional supplements, health supplements), pet toys, pet services (training, indoor and outdoor activities, transportation, consignment, consultation, medical), and other pet supplies It can be divided into four categories.

Foods may be classified according to feed/snack, formulation, main ingredient, sample, nutritional supplement, health supplement, and grade.

Feed/snack is classified into feed and snack, and the feed includes dry feed, wet feed, raw feed, homemade feed, and milk powder. Snacks include cans/pouches, chewing gum, sashimi, homemade snacks, frozen/dried snacks, biscuits/cereals/cookies/snacks, candy/jelly, bread/cakes, jerky/sticks, sausages, drinks, and catnip/catglasses. do.

Formulations include dry, wet, dry, raw, homemade, and powdered milk.

Main components include protein, carbohydrate, fat, and dietary fiber.

Samples include whether samples are sold or not and free samples.

Nutrients may be classified into multi-nutrients or other nutritional supplements, and multi-nutrients may include vitamins, minerals, and omega 3's.

Health supplements include repellents and approved supplements.

Grades include organic/organic, USDA organic (95% or more organic), made with organic (70-94% organic), and Edible grades.

Hygiene products include wet wipes, masks, eye/nose/ear cleaners and disinfectants, toilet-related products, health care products, wound care products, and hair care products.

Services include training, indoor activities, outdoor activities and other services.

Training includes training in schools, kindergartens, and training centers.

Outdoor activities include walking and sports.

Other services include consignment management, animal grooming, animal transportation, training/school, behavioral counseling, vaccination, check-up/treatment, surgery, and funeral/burial.

The companion animal rearing customized information providing system 100 receives information on products, products and services from a parenting-related service provider of companion animals, extracts and stores the necessary parenting elements according to the parenting element items from the received information, and there should be

7 is a flowchart of an exemplary embodiment of a method for providing customized information for raising companion animals according to the present invention.

First, data on the companion animal is collected (S710).

In the data collection step (S710), basic analysis data of the companion animal, health analysis data of the companion animal, activity analysis data of the companion animal, and environmental analysis data of the companion animal and the guardian are collected.

The basic analysis data includes the breed, age, sex, neutering operation of the companion animal, and the like.

The health analysis data includes a companion animal's weight, body type, food allergy, disease, major health problem, and other specific matters.

The activity analysis data is a method of measuring the activity of the companion animal through a separate application, a method of recording the activity of the companion animal through play or a walk suggested by the guardian customized information providing system for raising companion animals, or It can be obtained through a method of collecting through a professional offline inspection of the companion animal.

The environmental analysis data includes the type of housing (indoor/outdoor, yard or not, apartment/house), whether activity is possible, time or frequency of indoor/outdoor activity, whether or not to use kindergarten/school/training center and frequency of use, number of primary caregivers, It includes the number of meals per day, meal times, the amount of meals and snacks provided, the number of family members in the pet family, and the financial leeway of the caregiver.

Thereafter, the collected data is analyzed (S720).

In the data analysis step (S720), the necessary parenting factors are analyzed from the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data based on the classification analysis tool database. The necessary nurturing factors include a health component, a nutritional component, an emotional component, an educational component, a training component, and a medical component, and the like.

Thereafter, an analysis report for the analyzed data is provided (S730).

In the analysis report providing step (S730), based on the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data, opinions about the corresponding companion animal for the parenting element items and sub-categories of each item are provided. A report is provided with

Thereafter, a customized parenting service is recommended according to the analysis result (S740).

In the service recommendation step (S740), based on the companion animal rearing model, a parenting service and product that supplement and strengthen the necessary parenting factors are recommended.

Thereafter, it provides features and information of the recommended parenting service (S750).

In the information providing step (S750), features of the recommended childcare service and product, purchase information, purchase site, and feedback information of other users are provided.

Thereafter, primary feedback data on the recommendation result is received (S760).

The primary feedback data includes at least one of satisfaction with the recommendation result, the intention to use the recommended product, the companion animal's foot-foot state of the recommendation result, and suitability for the rearing environment.

Thereafter, after the companion animal and the guardian use the recommended customized parenting service, the companion animal rearing customized information providing system 100 receives the reevaluated secondary feedback data for the recommendation result ( S760 ).

In the second feedback receiving step (S770), after the companion animal and the guardian use the recommended parenting service and product, the second feedback data for the re-evaluated recommendation result is received.

The secondary feedback data includes the utilization and satisfaction of the recommended parenting services and products, the suitability for the developmental stage of the companion animal, the fitness for the rearing environment, the fitness for the tendency of the companion animal, the breed and age of the companion animal. It includes at least one of suitability, reliability, repurchase intention, and recommendation satisfaction.

Thereafter, the classification analysis tool database and the companion animal rearing model database are updated (S780).

In the updating step (S780), the basic analysis data, the health analysis data, the activity analysis data, the environment analysis data, the primary feedback data, and the secondary feedback data are processed based on the classification analysis tool database, , extracting the parenting plan element mapping characteristic from the processed data, learning and inferring from the extracted parenting plan element mapping characteristic based on the companion animal parenting model database to establish a new classification standard and companion animal parenting model, and the new The classification criteria and the validity of the companion animal rearing model are reviewed, the new classification criterion is added to the classification analysis tool database, and the companion animal rearing model according to the new classification criterion is updated.

The new classification criteria and the validity of the companion animal rearing model can be verified through an expert.

Although the description has been given of the method for providing customized companion animal rearing information according to an embodiment of the present invention, a computer-readable recording medium storing a program for implementing the method for providing customized companion animal rearing information and a method for providing customized companion animal rearing information Of course, a program stored in a computer-readable recording medium for implementation can also be implemented.

That is, those skilled in the art will readily understand that the above-described method for providing customized information for raising companion animals may be provided in a computer-readable recording medium by tangibly implementing a program of instructions for implementing the method. In other words, it may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and floppy disks. magneto-optical media, and hardware devices specially configured to store and carry out program instructions, such as ROM, RAM, flash memory, USB memory, and the like. The computer-readable recording medium may be a transmission medium such as an optical or metal wire or waveguide including a carrier wave for transmitting a signal designating a program command, a data structure, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present invention as claimed in the claims.

100: Companion animal rearing customized information provision system
110, 120, 130: user terminal 140: payment server
101: interface unit 102: control unit
103: processing unit 104: database management unit
105: analysis unit 301: data collection unit
302: data analysis unit 303: report writing unit
304: recommended product determination unit 305: feedback input unit
306: reliability evaluation unit 401: data reception processing unit
402: feature extraction unit 403: learning and inference unit
404: Feasibility Review Unit 405: Classification Criteria Addition Unit
406: parenting modeling department

Claims (10)

In the companion animal rearing customized information providing system,
an interface unit 101 for providing, to the user terminals 110 , 120 , and 130 , a graphic user interface necessary for transmission and reception of data for providing information tailored to the rearing of companion animals;
a processing unit 103 for analyzing data transmitted/received through the interface unit based on big data and artificial intelligence algorithms to perform various processes for providing information tailored to the rearing of the companion animal;
a database management unit 104 for storing member information, companion animal rearing models, recommended products, classification analysis tools, and feedback data;
an analysis unit 105 for generating a new model by analyzing the data input through the user terminal based on the classification analysis tool and the companion animal rearing model, and updating the classification analysis tool and the companion animal rearing model by applying it; and
A control unit 102 for controlling the data flow between the interface unit, the processing unit, the database management unit, and the analysis unit
including,
The processing unit 103,
Basic data, health data, activity data, and environment data of companion animals who want to receive companion animal rearing customized information service are received through the user terminal and collected as basic analysis data, health analysis data, activity analysis data, and environment analysis data a data collection unit 301 for;
a data analysis unit 302 for analyzing the necessary parenting factors from the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data based on the classification analysis tool;
Based on the classification analysis tool, from the basic analysis data, the health analysis data, the activity analysis data, and the environment analysis data, to create a report including an opinion on the corresponding companion animal for parenting element items and sub-categories of each item a report writing unit 303 for;
a recommendation product determination unit 304 for recommending childcare services and products that supplement and strengthen the necessary parenting elements based on the companion animal rearing model;
A feedback input unit 305 for receiving primary feedback data including at least one of satisfaction with the recommendation result for the recommendation result, the intention to use the recommended product, the companion animal developmental status of the recommendation result, and the suitability for the rearing environment through the user terminal ; and
Reliability evaluation unit 306 for receiving secondary feedback data on the re-evaluated recommendation result after the companion animal and guardian use the recommended parenting service and product to evaluate the reliability of the service and product
characterized in that it comprises,
The basic analysis data is,
Including the breed, age, gender, neutering operation of the companion animal,
The health analysis data is
Including the weight, body type, food allergy, disease, major health problem, and other unusual matters of the companion animal,
The activity analysis data is a method of measuring the activity of the companion animal through a separate application, a method of recording the activity of the companion animal through play or a walk suggested by the guardian customized information providing system for raising companion animals, or It is characterized in that it is collected through a professional offline inspection of the companion animal,
The environmental analysis data,
whether indoors or outdoors, whether it is a yard, the type of dwelling of the companion animal classified as an apartment or house, whether the facility is active, the hours or frequency of activity, whether and how often the pet uses a kindergarten or school or training center, the number of primary caregivers; It is characterized in that it includes the number of meals per day, meal time, amount of meals and snacks fed, the number of family members of the companion animal family, and the financial leeway of the caregiver,
The secondary feedback data is
Utilization and satisfaction of the above-recommended parenting services and products, suitability for the developmental stage of companion animals, fitness for the rearing environment, fitness for companion animals' tendencies, fitness for breed and age of companion animals, reliability, repurchase intention and It is characterized in that it includes at least one of recommendation satisfaction,
The analysis unit 105,
a data receiving processing unit 401 for processing the basic analysis data, the health analysis data, the activity analysis data, the environment analysis data, the primary feedback data, and the secondary feedback data based on the classification analysis tool;
a characteristic extraction unit 402 for extracting a parenting plan element mapping characteristic from the processed data;
a learning and reasoning unit 403 for establishing a new classification standard and companion animal rearing model by learning and inferring from the extracted parenting plan element mapping characteristics based on the companion animal rearing model;
a feasibility review unit 404 for reviewing the new classification criteria and the feasibility of the companion animal rearing model accordingly;
a classification criterion adding unit 405 for adding the new classification criterion to the classification analysis tool database; and
Parenting modeling unit 406 for updating the companion animal rearing model according to the new classification criteria
Companion animal rearing customized information providing system, characterized in that it comprises a.
delete delete In the method of providing customized information for raising companion animals,
A data collection step of collecting data on companion animals and their guardians (S710);
A data analysis step of analyzing the collected data (S720);
an analysis report providing step of providing an analysis report for the analyzed data (S730);
a service recommendation step of recommending a customized childcare service according to the analysis result (S740);
an information providing step (S750) of providing characteristics and information of the recommended parenting service;
A first feedback receiving step of receiving the first feedback data for the recommendation result (S760);
A second feedback receiving step (S770) of receiving secondary feedback data for the recommendation result by re-evaluating after using the recommended customized parenting service; and
An update step of updating the classification analysis tool database and the companion animal rearing model database (S780)
including,
The data collection step (S710) is,
a first collection step of collecting basic analysis data of the companion animal;
a second collection step of collecting health analysis data of the companion animal;
a third collection step of collecting activity analysis data through activity analysis of the companion animal; and
A fourth collection step of collecting the external environment analysis data of the companion animal
characterized in that it comprises,
The basic analysis data is,
Including the breed, age, gender, neutering operation of the companion animal,
The health analysis data is
Including the weight, body type, food allergy, disease, major health problem, and other peculiarities of the companion animal,
The activity analysis data is a method of measuring the activity of the companion animal through a separate application, a method of recording the activity of the companion animal through play or a walk suggested by the guardian customized information providing system for raising companion animals, or It is characterized in that it is collected through a professional offline inspection of the companion animal,
The environmental analysis data,
whether indoors or outdoors, whether it is a yard, the type of dwelling of the companion animal classified as an apartment or house, whether the facility is active, the hours or frequency of activity, whether and how often the pet uses a kindergarten or school or training center, the number of primary caregivers; It is characterized in that it includes the number of meals per day, meal time, amount of meals and snacks fed, the number of family members of the companion animal family, and the financial leeway of the caregiver,
The update step (S780) is,
a data receiving processing step of processing the basic analysis data, the health analysis data, the activity analysis data, the environment analysis data, the primary feedback data, and the secondary feedback data based on the classification analysis tool database;
a feature extraction step of extracting a parenting plan element mapping feature from the processed data;
a learning and inference step of establishing a new classification standard and companion animal rearing model by learning and inferring from the extracted parenting plan element mapping characteristics based on the companion animal rearing model database;
a feasibility review step of reviewing the new classification criteria and the feasibility of the companion animal rearing model;
a classification criterion adding step of adding the new classification criterion to the classification analysis tool database; and
Companion animal rearing modeling step of updating the companion animal rearing model according to the new classification criteria
Companion animal rearing customized information providing method comprising a.
delete delete 5. The method of claim 4,
The data analysis step (S720) is,
Based on the classification analysis tool database, the basic analysis data, the health analysis data, the activity analysis data and the environment analysis data are characterized in that the necessary parenting factors are analyzed,
The necessary parenting factors are:
A method for providing customized information for raising companion animals, comprising health factors, nutritional factors, emotional factors, educational factors, and training factors.
8. The method of claim 7,
The service recommendation step (S740),
Based on the companion animal rearing model, it is characterized in that it recommends childcare services and products that supplement and strengthen the necessary parenting factors,
The information providing step (S750),
A method for providing customized information for raising companion animals, characterized in that the recommended parenting service and product features, purchase information, purchase site, and feedback information of other users are provided.
9. The method of claim 8,
The second feedback receiving step (S770),
After the guardian uses the recommended parenting service and product, receiving secondary feedback data for the re-evaluated recommendation result,
The secondary feedback data is,
Utilization and satisfaction of the above-recommended parenting services and products, suitability for the developmental stage of companion animals, fitness for the rearing environment, fitness for companion animals' tendencies, fitness for breed and age of companion animals, reliability, repurchase intention and Companion animal rearing customized information providing method, characterized in that it includes at least one of the recommended satisfaction.
delete

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