KR20240067456A - Consignment service system for companion animal - Google Patents

Abstract

The present invention provides a pet consignment service system that matches users with suitable operators using an artificial neural network. In particular, the service performance department learns an artificial neural network using pet characteristic data related to pet information, user characteristic data related to user information, service characteristic data related to the service, business characteristic data related to the business operator, and satisfaction survey results, The service performance unit calculates the expected satisfaction level using the learned artificial neural network and pet characteristic data, user characteristics, service characteristic data, and business characteristic data, and matches the business operator with the highest score to the user.

Description

Companion animal consignment service system {Consignment service system for companion animal}

The present invention relates to a pet consignment service system that matches users with suitable operators using an artificial neural network.

Due to the increasing number of single-person households and an aging society, the number of so-called pet families who regard their pets as family members is increasing, and the companion animal industry is on the path to rapid growth.

Looking at the United States and Europe, where pet culture first developed, pet culture emerged when the GPD per person reached $10,000, and grew when it reached $20,000. Additionally, when the amount reached $30,000, a personification of a pet appeared. As domestic GDP reaches $30,000, we are seeing the personification of companion animals in Korea as well.

The recent pet industry utilizes ICT (Information and Communications Technologies) to reduce the stress of pets, providing animal-only TV and Dog TV to pets left alone, and providing technology to relieve concerns about disappearance through devices such as GPS. I'm doing it. In addition, technology is being developed to share information and human exchanges through SNS and check pets' health problems 24 hours a day through apps or sensors. In this way, as companion animals become established as companions, various services that consider companion animals are developing.

Jobs related to the pet industry are also increasing every year and are expected to reach 41,000 by 2020.

However, pet owners have difficulty finding the services they want and trustworthy experts, and planners and experts also have difficulty promoting and selling their services.

Korean Patent Publication No. 10-2019-0007288

The invention is intended to solve the problems of the prior art described above, and provides a pet consignment service system that matches users with suitable operators using an artificial neural network.

One aspect of the present invention includes a service application unit that receives a service application for at least one of transportation, education, exercise, care, travel, gathering, consultation, medical care, and funeral from a user, and a service application unit related to the service application received by the service application unit. It includes a service performance unit that matches professional personnel, and a satisfaction storage unit that stores the results of surveying users' satisfaction after performing the service,

The service performance unit learns an artificial neural network using pet characteristic data related to pet information, user characteristic data related to user information, service characteristic data related to the service, business characteristic data related to the business operator, and satisfaction survey results, and The service performance department uses the learned artificial neural network to calculate the expected satisfaction level using pet characteristic data, user characteristics, service characteristic data, and business characteristic data, and matches the business operator with the highest score to the user, a pet consignment service system. provides.

The service performance department distributes a pre-registered animal transport vehicle when a transport application is received, a transport matching department that monitors the operation of the animal transport vehicle, and a transport matching department that assigns a pre-registered related helper when an exercise application or care application is received. It may include a helper matching department, a medical matching department that assigns a registered related veterinarian or animal hospital when a medical examination application is received, and a funeral matching department that assigns a registered animal funeral service provider when a funeral request is received.

The transport matching unit learns an artificial neural network using companion animal characteristic data, transport characteristic data, business operator characteristic data, and user satisfaction survey results, and the transport matching unit combines the pet characteristic data and transport characteristic data with the learned artificial neural network. , using business characteristic data, expected satisfaction can be calculated and the business operator with the highest score can be matched to the user.

The transportation characteristic data includes the origin, destination, stopover, scheduled boarding time, scheduled disembarkation time, actual boarding time, and actual disembarking time, and the operator characteristic data includes the operator's location, driver's experience, vehicle type, cage presence/absence, and driver. May include gender, driver age, and presence/absence of auxiliary assistant.

The assistant matching unit learns an artificial neural network using companion animal characteristic data, user characteristic data, care characteristic data, business operator characteristic data, and user satisfaction survey results, and the assistant matching unit combines the companion animal characteristic data with the learned artificial neural network. , user characteristic data, care characteristic data, and operator characteristic data can be used to calculate expected satisfaction, and match the operator with the highest score to the user.

The care characteristic data includes care location (location, size), care cost, presence or absence of a walk, walking time, and care time, and the business characteristic data may include gender, height, age, weight, certification status, and existing care time. You can.

The medical matching unit learns an artificial neural network using companion animal characteristic data, user characteristic data, medical characteristic data, business operator characteristic data, and user satisfaction survey results, and the medical matching unit combines the learned artificial neural network with companion animal characteristic data, Using user characteristic data, medical characteristic data, and business characteristic data, expected satisfaction can be calculated and the business operator with the highest score can be matched to the user.

The medical characteristic data includes medical location, number of pets accommodated, type and number of equipment owned, annual insurance claims, and annual sales, and the business characteristic data includes the number of medical personnel, gender, height, age, weight, certification status, and length of experience. may include.

Other aspects, features and advantages other than those described above will become apparent from the detailed description, claims and drawings for carrying out the invention below.

The pet consignment service system according to an embodiment of the present invention allows consignors who wish to take care of their own pets and trustees who wish to provide care services for other people's pets to register as members online. , After registering your pet's information and living space information, we provide a pet trust brokerage service between the consignor and the consignee by providing the consignor with the necessary consignee information to effectively manage the pet in situations such as travel and business trips. It provides an effect that allows you to take care of yourself.

In addition, the present invention organizes the consignment management information of consignors and consignees, who are pet owners such as dog owners, through a platform, and then allows multiple pet owners to share the data of consignors and consignees through a multi-party Internet or mobile network. By making it possible to easily receive pet care services, it provides the effect of reducing the cost of providing pet care services.

In addition, the present invention provides a search and provision of trustee information that matches the necessary information when a pet owner enters the necessary information when the pet owner needs to entrust the pet, so that the trustee can select the trustee that is closest to the consignor's situation. This provides the effect of providing optimal care services to pets.

Of course, the scope of the present invention is not limited by this effect.

Figure 1 is a block diagram schematically showing a companion animal entrustment system according to an embodiment of the present invention.
Figure 2 is a block diagram schematically showing a companion animal entrustment system according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS Various embodiments of the present disclosure are described below in conjunction with the accompanying drawings. Various embodiments of the present disclosure can make various changes and have various embodiments, and specific embodiments are illustrated in the drawings and related detailed descriptions are described. However, this is not intended to limit the various embodiments of the present disclosure to specific embodiments, and should be understood to include all changes and/or equivalents or substitutes included in the spirit and technical scope of the various embodiments of the present disclosure. In connection with the description of the drawings, similar reference numbers have been used for similar components.

Expressions such as “includes” or “may include” that may be used in various embodiments of the present disclosure indicate the presence of the disclosed function, operation, or component, and indicate the presence of one or more additional functions, operations, or components. There are no restrictions on components, etc. In addition, in various embodiments of the present disclosure, terms such as "comprise" or "have" are intended to indicate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification. It should be understood that this does not exclude in advance the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

In various embodiments of the present disclosure, expressions such as “or” include any and all combinations of words listed together. For example, “A or B” may include A, B, or both A and B.

Expressions such as “first,” “second,” “first,” or “second” used in various embodiments of the present disclosure may modify various elements of the various embodiments, but do not limit the elements. No. For example, the above expressions do not limit the order and/or importance of the corresponding components. The above expressions can be used to distinguish one component from another. For example, the first user device and the second user device are both user devices and represent different user devices. For example, a first component may be referred to as a second component, and similarly, the second component may be referred to as a first component without departing from the scope of various embodiments of the present disclosure.

When a component is said to be "connected" or "connected" to another component, it means that the component may be directly connected or connected to the other component, but It should be understood that other new components may exist between the above different components. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it will be understood that no new components exist between the component and the other component. You should be able to.

Terms used in the various embodiments of the present disclosure are merely used to describe specific embodiments and are not intended to limit the various embodiments of the present disclosure. Singular expressions include plural expressions unless the context clearly dictates otherwise.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which the various embodiments of the present disclosure pertain.

Terms such as those defined in commonly used dictionaries should be interpreted as having meanings consistent with the meanings they have in the context of the related technology, and unless clearly defined in various embodiments of the present disclosure, are not ideal or excessively formal. It is not interpreted as meaning.

The pet consignment service system 100 according to an embodiment of the present invention may be installed and operated on a single computer device, or distributedly installed on a plurality of computer devices, and each computer device may be connected and interoperated with each other by wire or wirelessly. there is.

Referring to FIG. 1, this embodiment provides a way for users who raise companion animals to more easily search for and use companion animal-related services. This embodiment supports matching multiple users with professional personnel such as animal transport operators, caregivers, walkers, educational experts, and veterinarians, thereby resolving the current difficulties in raising companion animals.

Referring to FIG. 2, the pet comprehensive support system 100 according to an embodiment of the present invention receives a service application for at least one of transportation, education, exercise, care, travel, meeting, consultation, medical care, and funeral from the user. It includes a service request unit 120, a service performance unit 160 that matches professional personnel related to the service application received by the service request unit, and a satisfaction storage unit that surveys and stores satisfaction levels after service performance.

At this time, the service performance unit 160 dispatches a pre-registered animal transport vehicle when a transport application is received, and the transport matching unit 162 monitors the operation of the animal transport vehicle. When an exercise application or care application is received, the service performance unit 160 pre-registers the animal transport vehicle. A helper matching unit 164 that assigns related helpers, a space matching unit 168 that matches pre-registered space service products when a travel application or meeting application is received, and a space matching unit 168 that matches pre-registered space service products when a training application or consultation application is received. It includes an expert matching department (166) that supports conversations with experts.

Additionally, the service performance unit 160 may further include a medical matching unit 167 and a funeral matching unit 169.

The user can apply for the necessary service to the service request unit 120 of this embodiment using a computing device such as a computer, laptop, mobile phone, or tablet PC.

In order to use this embodiment, the user provides personal information including contact information and pet information to this embodiment. Pet information may include the type of pet, gender, age, size, weight, neutered or neutered, estrus date, vaccination status, etc. Types of companion animals include animals such as dogs, cats, hamsters, rabbits, pigs, hedgehogs, turtles, and ducks. In addition, it is desirable that specific breeds such as Golden Retriever, Shepherd, Greyhound, Dachshund, Doberman, Maltese, Bulldog, and Beagle are also entered.

In this embodiment, the user can provide personal information and pet information by first signing up as a member, and it can also be implemented by providing information at the stage of applying for the service. User information may include the user's residence, size of residence, gender, number of people, age, weight, activity level, etc.

Professional personnel information, user information, and companion animal information are stored in the user storage unit 112.

In addition, information on professional personnel and companies such as animal transportation business operators, care assistants, walking assistants, education experts, and veterinarians are stored in the business storage unit 114.

When receiving a transportation application, the service request unit 120 may additionally collect information such as departure point, arrival point, transit point, and scheduled boarding time.

When a transportation application is received, the transportation matching unit 162 dispatches an animal transportation vehicle and monitors the operation of the animal transportation vehicle. On March 22, 2018, the Animal Protection Act was revised and a new animal transportation industry was established. Animal transportation vehicles are similar to taxis and feature the ability for users and pets to ride together.

The transportation matching unit 162 allocates an animal transportation vehicle in response to the received transportation method application. It is preferable that the assigned animal transport vehicle is registered in advance in this embodiment and the related information is stored in the business storage unit 114. Assignment of animal transport vehicles can be done by providing transportation application information to vehicles close to the departure point, such as call taxis, and dispatching the vehicle that is approved first. Additionally, as another example, it may be implemented by automatically assigning the animal transport vehicle closest to the departure point.

The transportation matching unit 162 also delivers information such as the vehicle identification number, driver's photo and name, and cost of the assigned animal transport vehicle to the user who applied for transportation.

The transport matching unit 162 monitors the location of the animal transport vehicle. In addition, information about companion animals riding in past and present animal transport vehicles is stored.

When receiving a care application, the service request unit 120 can additionally collect information such as the desired time for pet care and pet care precautions.

The helper matching unit 164 assigns a care helper in response to the received care application. It is preferable that the assigned care assistant is registered in advance in this embodiment and the related information is stored in the business storage unit 114. Assignment of a care assistant can be performed by providing care application information to registered caregivers and assigning the first approved assistant. Additionally, in another embodiment, it may be implemented by automatically assigning a care assistant closest to the user.

The helper matching unit 164 delivers information such as the assigned care assistant's career, care location, and cost to the user who has applied for the service.

The helper matching unit 164 stores information on companion animals that have been cared for in the past or are currently being cared for by each care helper.

When receiving a proxy application for a walk, the service request unit 120 may additionally collect information such as the desired time to walk the pet, the location of the pet, and care precautions for the pet.

The helper matching unit 164 assigns a walk helper in response to the received walk proxy application. It is preferable that the assigned walking assistant is registered in advance in this embodiment and the related information is stored in the business storage unit 114. Assignment of a walking helper can be carried out by providing care application information to registered walking helpers and assigning the first approved helper. Additionally, as another embodiment, it may be implemented by automatically assigning the walking assistant closest to the user.

The helper matching unit 164 delivers information such as the career and cost of the assigned walking helper to the user who has applied for the service. Additionally, while the walking assistant is walking the pet, the walking assistant's location information may be provided to the user.

The helper matching unit 164 stores information on companion animals that have been cared for in the past or are currently being cared for by each walking helper.

When receiving a request for advice, the service request unit 120 can additionally collect the category of inquiry, such as behavioral abnormalities, health, and education, and the specific contents of the inquiry.

The expert matching department 166 assigns experts, such as educational experts, in response to the received consultation application. It is preferable that the assigned expert is registered in advance in this embodiment and the relevant information is stored in the business storage unit 114. Assignment of experts can be done by providing consultation request information to registered relevant experts and assigning the expert who writes the comment first.

The expert matching unit 166 delivers information such as the assigned expert's career and cost to users who have applied for the service.

Consultation applications may include requests for visits to correct abnormal behavior of pets. When a visit request is received at the service request unit 120, the user's address is additionally collected.

The expert matching department 166 assigns experts, such as educational experts, in response to the received visit application. Since an expert's business trip requires a large cost compared to other services, it is advisable to conduct it after sufficient consultation between the user and the expert.

The medical matching unit 167 assigns a veterinarian or animal hospital corresponding to the received medical examination application. The medical matching unit 167 matches a suitable veterinarian or animal hospital according to the information and current condition of the registered companion animal. Veterinarians and animal hospitals may have little differentiation in general treatment, but they can differentiate in specialized areas. Information on the relevant part can be stored in advance in the business storage unit 114, and a veterinarian or specialized animal hospital corresponding to the application can be matched.

In particular, the medical matching unit 167 can diagnose dementia in advance and match it with a veterinarian or animal hospital. It has been revealed that the number of companion animals suffering from cognitive dysfunction syndrome, similar to dementia, is increasing. The main symptoms are reduced activity, abnormal circling movements, decreased responsiveness to family members, and aggressive behavior.

When the corresponding symptom is entered in the service request unit 120, the medical matching unit 167 can match a veterinarian or animal hospital that can professionally diagnose and care for dementia in companion animals.

The funeral matching department 169 assigns an animal funeral service provider in response to the received funeral request. An animal funeral business refers to a person who installs and operates a funeral home, crematorium, or charnel facility exclusively for animals, and must be equipped with the necessary facilities and manpower and register the animal funeral business with the mayor, county governor, or district head (referring to the head of an autonomous district). An appropriate animal funeral service is assigned depending on the type and size of the pet.

The aforementioned service performance unit 160 trains an artificial neural network using companion animal characteristic data, user characteristics, service characteristic data, business operator characteristic data, and satisfaction survey results. Then, the service performance unit 160 calculates the expected satisfaction level using the pet characteristic data, user characteristic, service characteristic data, and business characteristic data in the learned artificial neural network, and matches the business operator with the highest score to the user. .

Companion animal characteristic data is information about the above-mentioned companion animal. In other words, the above-mentioned information is quantified.

User characteristic data is a quantification of the above-described user information.

Service characteristic data is a quantification of various data about the service. Since service characteristic data may vary for each specific service, refer to transportation characteristic data, care characteristic data, etc. described later.

Business characteristics data is quantified information about the business. Since operator characteristic data may vary for each specific service, refer to the operator characteristic data described in the examples described later.

More specifically, the transportation matching unit 162 can learn an artificial neural network using companion animal characteristic data, user characteristic data, transportation characteristic data, business operator characteristic data, and user satisfaction survey results.

And, the transportation characteristic data is the origin, destination, stopover, scheduled boarding time, scheduled disembarking time, actual boarding time, and actual disembarking time. Business characteristic data include business location, driver experience, vehicle type, presence/absence of cage, driver gender, driver age, and presence/absence of auxiliary helper.

In other words, pet characteristic data, user characteristic data, transportation characteristic data, and business characteristic data are used as input layers, and the satisfaction survey results are used as output layer to strengthen/learn the artificial neural network. At this time, the hidden layer is set to level 2 or higher.

The learning of an artificial neural network is divided into a process of connecting the values of input data to generate the model's predicted value (feedforward), and a learning process of updating the weight of the connection to minimize the difference between the predicted value and the actual value (backpropagation). Most artificial neural network algorithms use gradient descent to update weights, which involves partial differentiation of the cost function with respect to the weights and then repeating the process of slightly moving the weights in the gradient direction to match the actual value. The predicted value minimizes the difference.

And, the transportation matching unit 162 uses a learned artificial neural network to set the pet characteristic data, user characteristic data, transportation characteristic data, and business characteristic data as the input layer, and the expected satisfaction as the output layer, to calculate the expected satisfaction. Calculate Then, operators with high expected satisfaction are assigned.

The helper matching unit 164 can learn an artificial neural network using companion animal characteristic data, user characteristic data, care characteristic data, business operator characteristic data, and user satisfaction survey results.

Care characteristic data includes care location (location, size), care cost, presence or absence of walking, walking time, and care time. Business characteristic data includes gender, height, age, weight, certification status, and existing care time.

The helper matching unit 164 uses companion animal characteristic data, care characteristic data, and business characteristic data as an input layer and the satisfaction survey results as an output layer to strengthen/learn the artificial neural network. At this time, the hidden layer is set to level 2 or higher.

And, the helper matching unit 164 uses a learned artificial neural network to set the companion animal characteristic data, user characteristic data, care characteristic data, and business characteristic data as the input layer, and the expected satisfaction as the output layer, to calculate the expected satisfaction. Calculate Then, operators with high expected satisfaction are assigned.

The medical matching unit 167 can learn an artificial neural network using companion animal characteristic data, user characteristic data, medical characteristic data, business operator characteristic data, and user satisfaction survey results.

Medical characteristic data includes medical location (location, size), number of pets accepted, type and number of equipment owned, annual insurance claims, and annual sales. Business characteristic data includes the number of medical personnel, gender, height, age, weight, certification status, and length of experience.

The medical matching department uses companion animal characteristic data, medical characteristic data, and business characteristic data as the input layer and the satisfaction survey results as the output layer to strengthen/learn the artificial neural network. At this time, the hidden layer is set to level 2 or higher.

And, the medical matching unit uses a learned artificial neural network to calculate the expected satisfaction, with companion animal characteristic data, user characteristic data, medical characteristic data, and business characteristic data as the input layer and the expected satisfaction as the output layer. Then, operators with high expected satisfaction are assigned.

Meanwhile, if the user meets the necessary requirements, he or she can act as an animal transport professional, caretaker, walker, education expert, or veterinarian. If a user is registered as an animal transportation specialist, he or she may be assigned to another user's transportation application. If a user completes pet guidance training, he or she may be assigned to another user's care application or walk proxy application. In this embodiment, pet guidance training can be provided to users online, and users who listen to the training and pass the test can be recognized as having completed the training. In addition, users who have acquired certifications such as pet behavior corrector or pet caretaker can be assigned to apply for advice on behavioral abnormalities, education items, etc., and users who have acquired a veterinarian's license can be assigned to apply for advice on health items, etc. .

Likewise, personnel registered as animal transport professionals, care assistants, walkers, education experts, and veterinarians can also become users and apply for the service.

Additionally, this embodiment further includes a space matching unit 168 that provides space service products for companion animals to the user. Space service products for pets include pet kindergartens, pet schools, pet cafes, and pet parks. In this embodiment, when a space for a companion animal is registered, the space is exposed to the user. Users can use the service request unit 120 to apply for use of space for companion animals. If a time can be specified, the application for use includes additional information such as the scheduled date of use and time of use.

If the user's application for use is approved, the transportation matching unit 162 can automatically reserve an animal transport vehicle using the user's location and service provision location as the departure and destination points.

In addition, the user storage unit 112 stores companion animal information, including the type, gender, age, estrous period, and vaccination status of the companion animal owned by the user, in addition to professional information and user information.

As such, the present invention has been described with reference to the embodiments shown in the drawings, but these are merely illustrative, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. . Therefore, the true scope of technical protection of the present invention should be determined by the technical spirit of the attached claims.

100 system
112 User storage
114 Business Storage Department
120 Service Request Department
130 Satisfaction storage unit
160 Service Performance Department
162 Transportation Matching Department
164 Helper Matching Department
166 Expert Matching Department
167 Medical Matching Department
168 Space matching department
169 Funeral Matching Department

Claims (9)

A service application unit that receives applications from users for at least one service among transportation, education, exercise, care, travel, meetings, consultation, medical care, and funeral;
a service performance unit that matches professional personnel related to the service application received by the service request unit; and
It includes a satisfaction storage unit that stores the results of surveying the user's satisfaction level after performing the service;
The service performance unit learns an artificial neural network using pet characteristic data related to pet information, user characteristic data related to user information, service characteristic data related to the service, business characteristic data related to the business operator, and satisfaction survey results,
The service performance department uses the learned artificial neural network to calculate the expected satisfaction level using pet characteristic data, user characteristics, service characteristic data, and business characteristic data, and matches the business operator with the highest score to the user, a pet consignment service. system. According to claim 1,
The service performance department,
When a transport application is received, a transport matching unit that dispatches a registered animal transport vehicle and monitors the operation of the animal transport vehicle;
A helper matching department that assigns a pre-registered helper when an exercise application or care application is received;
A medical matching department that assigns a registered veterinarian or animal hospital when an application for medical examination is received;
A funeral matching department that assigns a registered animal funeral service provider when a funeral request is received;
A pet consignment service system including. According to claim 2,
The transportation matching unit learns an artificial neural network using companion animal characteristic data, transportation characteristic data, business operator characteristic data, and user satisfaction survey results,
The transport matching unit calculates the expected satisfaction level using the pet characteristic data, transport characteristic data, and business characteristic data in a learned artificial neural network, and matches the business operator with the highest score to the user. A pet consignment service system. According to claim 3,
The transportation characteristic data includes origin, destination, stopover, scheduled boarding time, scheduled disembarking time, actual boarding time, and actual disembarking time,
The business characteristic data includes the business operator's location, driver's experience, vehicle type, presence/absence of cage, driver gender, driver age, and presence/absence of auxiliary helper. Pet consignment service system. According to claim 2,
The assistant matching unit learns an artificial neural network using companion animal characteristic data, user characteristic data, care characteristic data, business operator characteristic data, and user satisfaction survey results,
The assistant matching unit uses the learned artificial neural network to calculate the expected satisfaction level using companion animal characteristic data, user characteristic data, care characteristic data, and business operator characteristic data, and matches the operator with the highest score to the user. Consignment service system. According to claim 5,
The care characteristic data includes care location (location, size), care cost, presence or absence of walking, walking time, and care time,
The business characteristic data includes gender, height, age, weight, certification status, and existing care time, and is a pet consignment service system. According to claim 2,
The medical matching unit learns an artificial neural network using companion animal characteristic data, user characteristic data, medical characteristic data, business operator characteristic data, and user satisfaction survey results,
The medical matching unit uses the learned artificial neural network to calculate the expected satisfaction level using companion animal characteristic data, user characteristic data, medical characteristic data, and business operator characteristic data, and matches the operator with the highest score to the user. Consignment service system. According to claim 5,
The medical characteristic data includes medical location, number of pets accommodated, type and number of equipment owned, annual insurance claims, and annual sales,
The business characteristic data includes the number of medical personnel, gender, height, age, weight, certification status, and length of experience in the pet consignment service system. According to claim 2,
The medical matching department is a pet consignment service system that diagnoses dementia in companion animals in advance and matches them with a veterinarian or animal hospital.