JP2023128069A - Pet reliability evaluation method, move-in examination method for rental house and pet reliability evaluation system - Google Patents

Abstract

To provide a pet reliability evaluation method, a move-in examination method for a rental house and a pet reliability evaluation system for evaluating reliability of a pet with training information for objectively determining whether the pet is properly trained.SOLUTION: A method for evaluating reliability of a pet 10 using an information processing device executes: a first step in which a platform 50 acquires a plurality of types of pieces of training data 30-1, 30-2 from terminals possessed by a plurality of end users 20; a second step in which the plurality of types of pieces of training data is stored in a database 51 for training data; and a third step in which a pet reliability evaluation system 52 reads the plurality of types of pieces of training data 30-2 from the database 51 for training data and calculates reliability evaluation data 80 by using the training data 30 and evaluation index master data.SELECTED DRAWING: Figure 1

Description

The present invention relates to a technique using an information processing device, and particularly to a technique for evaluating the reliability of a pet using training information.

Pets, which are animals kept for companionship, serve as companions that soothe and entertain people. However, since pets coexist with people in society, the question is whether their behavior is compatible with society. In other words, pets require training (hereinafter referred to as "discipline") so that their behavior conforms to the norms and customs of human society.

As a technology to prove and authenticate the characteristics of pets, we use an app that can digitally prove and authenticate a pet's "vaccine and rabies vaccination status," "owner's knowledge," and "dog's training level." A demonstration experiment has been reported to "realize a society where there are more places where people can live together" (Non-Patent Document 1).

At Business Airport Kyobashi, a members-only shared office with a floor where pets can be brought, we have started a demonstration experiment of the pet qualification certification app “Wan!Pass” provided by Pets Allai [January 13, 2020] [day search], Internet <URL: https://prtimes.jp/main/html/rd/p/000000003.000078906.html>

When an end user who keeps a pet wants to move into a pet-friendly property (house), the business providing the house (e.g., a real estate company) must take care of the risks associated with keeping a pet (for example, troubles with the neighborhood and deterioration of the house). need to be considered. Therefore, deposits and rents for properties that allow pets tend to be relatively high. Therefore, it is difficult for the end user to use the desired property at the desired financial burden. On the other hand, real estate companies have difficulty setting appropriate prices for pet-friendly properties, which may result in lost opportunities.

In addition, in recent years, pet insurance has been commercialized that compensates for medical expenses and compensation when a pet receives medical treatment for illness or injury, or causes property damage. When deciding whether to purchase pet insurance or setting prices, it is necessary to take into account the risk of injury or accidents to pets, but there was no system in place to accurately assess such risks.

The risks associated with providing housing and insurance as described above are thought to be reduced if pets are properly trained. If a pet is properly trained, the pet will be highly reliable and the risk of various troubles associated with pet care will be reduced, making it possible to provide services to end users at an appropriate cost.

Therefore, the problem of the present invention is to provide a technology for evaluating the reliability of a pet using information for objectively determining whether or not the pet is being properly disciplined (hereinafter referred to as "discipline information"). be.

A preferred aspect of the present invention is a method for evaluating the reliability of a pet using an information processing device, the method comprising acquiring data representing multiple types of discipline information (hereinafter referred to as "discipline data") from multiple terminals. Step 1: Storing the plurality of types of discipline data in the discipline data database; Reading the plurality of types of discipline data from the discipline data database, using the discipline data and evaluation index master data; This is a pet reliability evaluation method that executes a third step of calculating reliability evaluation data.

Another preferable aspect of the present invention includes an input device, an output device, a storage device, and a processing device, the processing device forming a pet reliability evaluation section, and the pet reliability evaluation section comprising a plurality of This is a pet reliability evaluation system that acquires multiple types of training data collected from a terminal and calculates reliability evaluation data using the training data and evaluation index master data.

It is possible to provide a technology for evaluating the reliability of a pet using training information for objectively determining whether the pet is being trained appropriately.

FIG. 1 is a block diagram showing an overall picture of a pet reliability evaluation system according to an embodiment. FIG. 3 is a block diagram showing the configuration of a discipline data database 51. FIG. 5 is a block diagram showing the configuration of a pet reliability evaluation system 52. FIG. 2 is a conceptual diagram for explaining an example of utilization of the pet reliability evaluation system of the embodiment. A conceptual diagram illustrating a process in which an end user 20 considers moving to a rental property where he or she can move in with a pet 10, takes out pet insurance, concludes a rental contract, and moves in. FIG. 2 is a conceptual diagram illustrating a process after an end user 20 moves out of a rental property in which he and his pet 10 moved. FIG. 2 is a conceptual diagram illustrating a process of moving to a rental property where an end user 20 can move in with a pet 10; The conceptual diagram which shows the example of the data stored in the database 51 for discipline data. 3 is a flowchart illustrating a processing example in which an end user 20 starts using the platform 50 and starts registering and updating discipline data 30. 7 is a flowchart illustrating a process of generating reliability evaluation data 80 using discipline data 30 and evaluation index master data 511. FIG. FIG. 7 is a table diagram illustrating the principle of calculating reliability evaluation data 80 using discipline data 30 and evaluation index master data 511. FIG.

Embodiments of the present invention will be described below with reference to the drawings. The examples are illustrative for explaining the present invention, and are omitted and simplified as appropriate for clarity of explanation. The present invention can also be implemented in various other forms. Unless specifically limited, each component may be singular or plural.

The position, size, shape, range, etc. of each component shown in the drawings may not represent the actual position, size, shape, range, etc. in order to facilitate understanding of the invention. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings.

Examples of various types of information will be described using expressions such as "table," "list," and "queue," but various information may also be expressed using data structures other than these. For example, various information such as "XX table", "XX list", "XX queue", etc. may be referred to as "XX information". When describing identification information, expressions such as "identification information", "identifier", "name", "ID", and "number" are used, but these expressions can be replaced with each other.

When there are multiple components having the same or similar functions, the same reference numerals may be given different suffixes for explanation. Furthermore, if there is no need to distinguish between these multiple components, the subscripts may be omitted from the description.

In the embodiment described below, the reliability of pets is evaluated using training information and reliable pets are determined, thereby simplifying screening procedures and avoiding troubles that may occur at pet-friendly properties. Data representing discipline information will be referred to as discipline data.

FIG. 1 is a block diagram showing an overall picture of the pet reliability evaluation system of the embodiment and stakeholders related thereto. By collecting the discipline data 30-1 and 30-2 through a common trust evaluation platform (hereinafter simply referred to as the platform) 50 and creating reliability evaluation data, information sharing between different industries is possible. Realize.

The discipline data 30-1 is obtained as information regarding the behavior of the pet 10, for example, from a sensor attached to the pet 10. Alternatively, the end user (owner, sometimes abbreviated as E/U) 20 creates it. Further, the discipline data 30-2 is created from information that the discipline information providing company 40 can obtain in the course of business. Discipline data, which is data representing discipline information, is information for evaluating the behavior (movement) of the pet 10, and is therefore often created from information acquired at multiple timings.

A discipline data collection device 60, which includes, for example, an RFID (Radio Frequency Identifier) tag and a sensor, is attached to the pet 10. The discipline data collection device 60 may be carried by the pet 10 in the form of a collar, for example, or may be equipped with a minute microchip. The discipline data 30-1 from the discipline data collection device 60 is transmitted to the platform 50 via a network (not shown) using wireless communication, for example.

The end user 20 transmits discipline data 30-1 to the platform 50 via a wireless or wired network from his/her own terminal. The terminal may be, for example, an ordinary personal mobile terminal or a personal computer equipped with the ability to communicate with a network, and is not shown.

Note that the discipline data 30-1 from the discipline data collection device 60 is temporarily stored in a memory installed in the discipline data collection device 60, and the end user 20 reads the data from the memory. It may also be configured to be sent separately from one's own terminal.

The discipline information providing company 40 is assumed to be an entity (for example, a stakeholder) that can collect the discipline data 30-1, such as a real estate company, an animal hospital, or a pet shop.

The discipline information providing company 40 transmits the discipline data 30-2 from its business support system 70 to the platform 50 via a wireless or wired network. The business support system 70 may be, for example, a normal server or a personal computer equipped with a communication function with a network.

The platform 50 is an information processing device that collects, stores, and processes the discipline data 30 transmitted via the network from the end user's 20 terminal, the discipline data collection device 60, or the business support system 70 of the discipline information provider 40. be. Platform 50 can generally consist of a server. The platform 50 includes a training data database (hereinafter simply referred to as a database (DB)) 51 and a pet reliability evaluation system 52.

The discipline data database 51 collects and accumulates discipline data transmitted via the network. The pet reliability evaluation system 52 evaluates the reliability of the pet using the training data 30 accumulated in the training data database 51.

The pet reliability evaluation result by the pet reliability evaluation system 52 is accumulated in the discipline data database 51 as reliability evaluation data 80, and is transmitted to the training information providing company 40 and the training information using company 90. The discipline information providing company 40 receives the reliability evaluation data 80 through the business support systems 70-1 and 70-2. The discipline information utilization company 90 also receives the reliability evaluation data 80 through the business support system 70-3 having a similar configuration.

The discipline information usage company 90 can be, for example, a real estate company or an insurance company that provides pet insurance. The discipline information using company 90 may also be the discipline information providing company 40 at the same time.

According to the configuration shown in FIG. 1, a plurality of types of subjects collect discipline information from their individual viewpoints, and the information is accumulated in the discipline data database 51. Since the trustworthiness of pets is evaluated based on training information collected by multiple entities from their individual perspectives, objective evaluations can be expected.

FIG. 2 is a block diagram showing the configuration of the discipline data database 51. The discipline data database 51 can be configured with a recording device such as a magnetic disk device, for example. Although the database 51 is shown as part of the platform 50 in FIG. 1, it may be configured with other information processing devices connected via a network as long as it can be accessed from the pet reliability evaluation system 52.

The database 51 stores discipline data 30, evaluation index master data 511, and reliability evaluation data 80. The pet reliability evaluation system 52 generates reliability evaluation data 80 by evaluating the training data 30 using the evaluation index master data 511.

In addition, the database 51 stores pet data 512 that stores information regarding the pet 10, owner data 513 that stores information regarding the end user 20, evaluation result utilization status data 514 regarding the usage status of the reliability evaluation data 80, etc. There is. These data can be collected in the database 51 using a configuration similar to that used to collect the discipline data 30.

FIG. 3 is a block diagram showing the configuration of the pet reliability evaluation system 52. In this embodiment, the pet reliability evaluation system 52 is configured with an information processing device including an input device 521, an output device 522, a memory 523, and a processing device 524. The processing device 524 includes a pet reliability evaluation section 525 and a pet reliability evaluation data sharing section 526. In this embodiment, the pet reliability evaluation section 525 and the pet reliability evaluation data sharing section 526 are implemented using software. Specifically, this is realized by a processing device 524 such as a CPU (Central Processor Unit) reading and executing a program stored in a memory 523.

In the embodiments, processing performed by executing a program may be explained. Here, the pet reliability evaluation system 52 executes a program in a processing device 524, and performs processing determined by the program using storage resources (for example, memory 523), interface devices (for example, input device 521 and output device 522), etc. I do. Therefore, the processing device 524 may be the main body of processing performed by executing the program. Similarly, a device including the processing device 524 may be the main body of the processing performed by executing the program. The main body of the processing performed by executing the program may include a dedicated circuit that performs specific processing. Here, the dedicated circuit is, for example, an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), or a CPLD (Complex Programmable Logic Device).

Programs may be installed into the pet reliability evaluation system 52 from program sources. The program source may be, for example, a program distribution server or a computer-readable storage medium. When the program source is a program distribution server, the program distribution server includes a processor and a storage resource for storing the program to be distributed, and the processor of the program distribution server may distribute the program to be distributed to other computers. Furthermore, in the embodiments, two or more programs may be implemented as one program, or one program may be implemented as two or more programs.

In the embodiment, the input device 521 and the output device 522 can be various commonly known devices and devices, and can be accessed to a network. The memory 523 is a storage device composed of, for example, a semiconductor integrated circuit.

FIG. 4 is a conceptual diagram for explaining an example of the use of the pet reliability evaluation system 52 of this embodiment in the real world. In the example of FIG. 4, an insurance company 400 becomes the main administrator of the pet reliability evaluation system 52, aggregates information, and shares reliability evaluation data 80 with each stakeholder (real estate company, veterinary hospital, pet hotel, etc.) do. Here, we will mainly explain the discipline insurance provided by the insurance company 400 as an example. Discipline insurance is insurance that reflects the pet's discipline status in insurance premiums and insurance money, and is insurance that compensates for damage to houses, etc. caused by pets.

The end user (owner) 20 applies to the insurance company 400 to enroll in training insurance (S503). The insurance company 400 manages and operates the platform 50 (in FIG. 4, the insurance company 400 includes the platform 50). The insurance company 400 requests the end user 20 to attach the discipline data collection device 60 to the pet 10 (S401), and the end user 20 attaches the discipline data collection device 60 to the pet 10 (S504).

The discipline data collection device 60 is, for example, an acceleration sensor or a sound sensor, and is used to monitor the behavior of the pet 10. The information obtained by the sensor is generally time-series information and can represent the behavior of the pet 10. The discipline data collection device 60 transmits these to the platform 50 as pet behavior data 30a, which is one of the discipline data 30.

The platform 50 also collects information 30b regarding pets from the animal hospital 410 and pet hotel 420. The pet-related information 30b includes the behavioral state of the pet 10 observed and evaluated by, for example, a veterinarian or hotel staff while the pet is receiving a predetermined service (whether it was quiet while receiving treatment or service, whether other pets Contains information on whether there were any problems with the company, etc.).

When the end user 20 concludes a rental contract for a rental property with real estate company A (S508), real estate company A transmits property status data 30c to the platform 50. Property condition data includes information on changes in the condition of the property (changes before and after a pet moves in) and complaints from neighbors.

In this way, the platform 50 operated by (or available for use by) the insurance company 400 is provided with training information from a plurality of different entities related to the pet 10, and is stored as training data 30. The pet reliability evaluation system 52 performs reliability evaluation based on the training data 30. The pet reliability evaluation results (reliability evaluation data 80) can be used in various ways by various stakeholders. For example, the insurance company 400 can calculate insurance premiums and insurance benefits based on reliability evaluation results.

For example, when calculating insurance premiums at the insurance company 400, the insurance premiums are increased for pets with low reliability. Furthermore, when calculating the insurance money to be paid, the insurance money is reduced for pets with low reliability. The insurance money is paid, for example, to compensate for the security deposit when the end user 20 uses the rental property and the cost of restoring the property to its original condition when moving out (S607).

For example, when the end user 20 asks to move to a property that allows pets (S501), the real estate company may refuse to let the pet move in if the pet is unreliable, or increase the security deposit or rent.

Similarly, the animal hospital 410 and the pet hotel 420 can adjust the fees and determine whether or not the pet can be used, based on the reliability evaluation result of the pet.

According to the above example, the reliability evaluation of a pet is based on, for example, the training data generated based on how much wear and tear the condition of the house in which the pet moved in after moving in compared to the condition before moving in. This is done by integrating information obtained from multiple entities, such as using discipline data based on time-series information obtained from a sensor attached to the pet, so it relies only on the self-reported information of the owner (end user 20). This can be done much more objectively.

FIG. 5 shows that in an actual business, an end user (E/U) 20, a real estate company, and an insurance company are involved, and an end user 20 who is a pet owner is considering moving to a rental property where he and his pet 10 can move. It is a conceptual diagram illustrating the process from signing up for pet insurance to concluding a rental contract and moving in. On the premise of the configuration of FIG. 4, the parts of the processing related to the insurance company and the platform 50 of the embodiment are surrounded by a double frame.

Explain in chronological order. First, the end user 20 considers moving to a rental property where he can move in with his pet (S501). The end user 20 receives an introduction of a pet-friendly rental property from a real estate company using a conventional rental property introduction framework (for example, searching for rental properties on the Internet) (S502).

The end user 20 signs a pet insurance contract with an insurance company and subscribes to the insurance according to conventional procedures (S503). The insurance premium to be paid by the end user 20 is determined by the insurance company using a conventional method based on information about the pet 10 (based on self-reporting by the end user 20 or an interview with the pet) and the guarantee details. The discipline data collection device 60 provided by the insurance company is attached to the pet 10 (S504).

The end user 20 applies for occupancy in writing to a real estate company according to conventional procedures (S505). The real estate company examines the application documents (S506), obtains information about the pet from the end user 20, and interviews the pet as necessary to conduct a pet examination (S507).

If the real estate company agrees to move in as a result of the conventional tenant screening and pet screening, the real estate company and the end user 20 will conclude a lease contract (S508), and the end user 20 and the pet 10 will move into the rental property. (S509).

FIG. 6 shows that, following the process shown in FIG. 5, in an actual business, an end user 20, the owner of a pet 10, moves in with the pet 10, with the end user (E/U) 20, a real estate company, and an insurance company as parties involved. It is a conceptual diagram explaining the process after moving out of a rental property. The insurance company and the example platform 50 have double-boxed portions of the process.

Explain in chronological order. The pet 10 and the end user 20 move out of the rental property (S601). The real estate company cleans and restores the rental property to its original condition based on conventional rental contracts and business practices (S602). The real estate company charges the cost of restoring the rental property to its original state due to the end user's 20's negligence or the like. If a security deposit such as a security deposit is kept, settlement may be performed with this deposit (S603). The end user 20 returns to the request and pays the restoration cost to the real estate company (S604).

If the end user 20 can receive insurance payment based on the insurance contract, the end user 20 requests the insurance company 400 for the insurance claim (S605). The terms of insurance claim payment depend on the contents of the insurance contract. For example, if the pet 10 damages the rental property beyond the scope permitted by the rental contract, the real estate company charges the end user 20 for repair costs as the tenant is at fault. The insurance company 400 will pay an insurance claim to compensate for the repair costs caused by the pet.

The insurance company calculates the insurance amount based on the details of the claim from the end user 20 and the reliability evaluation data 80 obtained from the platform 50 (S606). Information regarding the pet's behavior is transmitted as discipline data 30 to the platform 50 from the discipline data collection device 60 attached to the pet 10 in S504 of FIG. 5, and is stored in the discipline data database 51.

As information regarding the pet's behavior, for example, if the discipline data collection device 60 includes an acceleration sensor, information indicating the amount of activity of the pet 10 can be acquired as the discipline data 30. Pets that are unnecessarily active are likely to be poorly trained, and therefore have a high risk of soiling the rental property. In such a case, the pet reliability evaluation unit 525 calculates a numerical value indicating low reliability as the reliability evaluation data 80. Based on this reliability evaluation data 80, the insurance company determines that the end user's 20 discipline of the pet 10 is insufficient and reduces the insurance amount.

For example, if the discipline data collection device 60 includes a sound sensor, information indicating the noises and cries made by the pet 10 can be acquired as the discipline data 30. A pet that barks unnecessarily is assumed to be poorly disciplined, and in such a case, it is considered that the end user 20 has insufficiently disciplined the pet 10, so the insurance amount is reduced.

The insurance money calculated through the above procedure is paid from the insurance company to the end user 20 (S607).

In the above explanation, an example was shown in which information obtained from the discipline data collection device 60 is used as the discipline data 30. Pet behavior data obtained from the discipline data collection device 60 also includes the time and distance of walks, the time and amount of indoor exercise, the number and volume of barking, and the number and time of meals and excretions. Data can be acquired using various sensors.

In addition, the following are other types of discipline data 30 that can serve as the basis for the reliability evaluation data 80.

The training data 30 self-reported by the end user 20 includes a profile such as the pet's type and age, implementation status of vaccinations, medical history, and information regarding training (training classes, etc.). Such information is reported, for example, by the end user 20 during the pet examination (S507). Data is sent to the platform 50 directly by the end user 20 or from the business support system 70 of the real estate company.

Discipline data 30 that real estate companies can collect during tenancy includes complaints from nearby residents (noise, smell, etc.), usage of common areas (cleaning status, etc.), and history of troubles with other tenants and pets. . These transmit data from the real estate company's business support system 70 to the platform 50.

Discipline data that a real estate company can obtain when moving in and out includes the examination results regarding your pet, the state of the pet at the interview (if an interview is conducted), the state of the room at the time of moving out (changes in condition between moving in and moving out), There are costs involved in restoring the property to its original condition and proof of the next person moving in. These transmit data from the real estate company's business support system 70 to the platform 50.

The training data that an insurance company can obtain when signing up for insurance includes the owner's ability to pay, the results of the pet insurance application review, the pet's past medical history (notices), and the details of the pet insurance. These transmit data to the platform 50 from the insurance company's business support system (which may be configured similarly to the real estate company's business support system 70).

Discipline data that insurance companies can obtain during insurance coverage includes insurance usage status (illness, injury, and compensation history), usage status of supplementary services (health consultation, etc.), and usage status of subscriber benefits. These transmit data to the platform 50 from the insurance company's business support system.

Other pet business operators include veterinary hospitals, pet hotels, etc., and the training information obtained from them includes the following. The data collection method is similar to that of real estate companies and insurance companies.

From veterinary hospitals, it is possible to obtain training data such as the pet's detailed health status, vaccination status, illness or injury status, and pet personality.

From pet hotels, you can obtain upbringing data such as the pet's health status, usage status and frequency, and the pet's personality.

Other discipline information includes the usage status of pet-friendly facilities, purchase history on pet supply online shopping sites, usage data on rental cars with pets, etc.

Furthermore, pet data 512 and owner data 513 can be considered as information on which to calculate reliability evaluation data 80 other than discipline data 30.

FIG. 7 shows a process in which an end user 20, a pet owner, moves to a rental property where he can move in with his pet 10 in an actual business, with the end user 20, real estate company A, real estate company B, and insurance company involved. It is a conceptual diagram explained. Real estate company A and real estate company B are different real estate companies or entities that manage different rental properties. In the example of FIG. 7, it is assumed that the end user 20 has already contracted pet insurance with an insurance company.

The processes involved in the pet reliability evaluation system 52 of this embodiment are particularly shown with double frames.

The process shown in FIG. 7 will be explained along the time axis. The end user 20 applies to real estate company A to move into a rental property managed by real estate company A (S701). At real estate company A, the end user 20 moves into the rental property together with the pet 10 after performing a normal tenant screening and being able to move in (S702).

While the end user 20 is living in the rental property with the pet 10, the discipline data 30 is collected in the database 51 and updated (S703), as explained with reference to FIG.

The end user 20 considers moving with the pet 10 and searches for a new rental property (S704). For example, the user searches for rental properties from real estate company B on the Internet, and receives an introduction from real estate company B about rental properties that allow pets (S705).

If the end user 20 likes the rental property of real estate company B, he submits application documents to real estate company B to apply for occupancy as usual (S706).

Real estate company B needs to examine whether to permit end user 20 with pet 10 to move in. At this time, it is necessary to take into account the risk of trouble with the neighborhood and damage if the pet 10 moves into the rental property. For this reason, real estate company B acquires the reliability evaluation data 80 from the pet reliability evaluation system 52 (S707), and performs an occupancy examination based on the reliability evaluation data 80 in addition to the conventional document examination (S708). If the tenant is permitted to move in through the screening, a contract is made with the end user 20 (S709).

The end user 20 who has decided on a new home moves out of the rental property managed by real estate company A (S710). Real estate company A checks the rental property after the end user 20 has moved out, and performs necessary post-movement processing such as restoring the parts to their original condition for areas that require repair (S711). In this case, since real estate company A needs to restore the property to a state in which the next tenant can live in it, real estate company A also needs to deal with stains and odors caused by pets living there. The details of the process when moving out of the property may be the same as those described with reference to FIG.

When restoring the property to its original condition, real estate company A registers and updates changes in the condition of the rental property, for example, when the end user 20 moves in and when the end user 20 moves out, as the training data 30 at the time of moving out, in the platform 50 (S712).

Thereafter, the end user 20 moves into a rental property managed by real estate company B, and the move is completed (S713).

The difference between the move-in screening explained in Figure 5 and the move-in screening explained in Figure 7 is that the move-in screening explained in Figure 7 uses the discipline data accumulated in S703 during the tenancy of the previous rental property (managed by real estate company A). , it can be used for tenant screening of the next rental property (managed by real estate company B).

The end user 20 is assured of the authenticity of the pet by a third party (insurance company platform 50). It will also be possible to use a variety of services that utilize reliability evaluation. As mentioned above, not only can you get an appropriate pet evaluation in your rental property contract, but you can also take advantage of pet-friendly rental insurance and discounts on rental deposits.

Real estate companies can reduce the burden of vetting procedures when pets move in. In addition, opportunity losses can be reduced by matching the reliability evaluation of pets with the occupancy conditions of pet-friendly properties. Furthermore, it is possible to avoid problems such as dirt and noise caused by pets with high reliability ratings moving in.

As described above, by using the reliability evaluation data 80 based on the discipline data 30, the end user 20 and the real estate company can receive practical benefits. Furthermore, the insurance company 400 can utilize the reliability evaluation data 80 to optimize the calculation of insurance premiums and insurance benefits for pet insurance. Furthermore, it is possible to develop new insurance products (for example, new pet insurance to compensate for the cost of restoring rental property to its original state) by utilizing the reliability evaluation data 80.

FIG. 8 is a conceptual diagram showing an example of data stored in the discipline data database 51. These data center around information on the pet 10 (animal) rather than the end user 20 (human), and are intended to evaluate the reliability of the pet rather than the human.

The pet data 512 stores data regarding the pet 10. For example, the information includes a pet ID that uniquely identifies the pet 10, and information regarding the type. In addition, external characteristics such as color and size may be included. Since there are usually a plurality of pets 10, the illustrated data file is created for each pet.

The owner data 513 stores data regarding the end user 20 (owner). For example, the information includes a user ID that uniquely identifies the end user 20, a kept pet (pet ID), personal information, companies with which information can be linked, services being used, and the like. In addition, information such as knowledge regarding pets may be included. Since there are usually a plurality of end users 20, the illustrated data file is created for each end user.

The training data 30 stores various types of training data in association with pet IDs. Information specifying the type of data and data content are stored as a set for each discipline data. For example, if the pet 10 is a dog, the training data 30 may include the breed of the dog, the pet's age, pet insurance usage history, service name used, service usage conditions (e.g. security deposit when moving into a rental property, etc.). Good too. A data file illustrated for each pet is created.

The types of discipline data 30 are broadly classified into two types. The first is chronological classification. When considering its use in the real estate field, it can be classified into information obtained before moving in, information obtained during moving in (while breeding), and information obtained after moving in. By configuring the discipline information with different chronological information such as information before moving in, information during moving in, and information after moving in, it is possible to comprehensively acquire information related to before and after moving in, and improve the accuracy of the discipline information. can.

The second is classification by related stakeholder. Training information is composed of information provided by multiple stakeholders, such as information related to the pet's physical functions, personal information of the pet owner (end user), and information related to real estate entry/exit screening (voices of local residents). Although objective validity cannot be obtained from only the self-reported information of the end user 20, objective validity of the discipline information can be ensured by comprehensively acquiring information from stakeholders in different fields.

For example, if the pet 10 is a dog, the end user 20 will tell you the frequency of walks, the end user or the training school will tell you about the tricks it can perform, such as "handling", and the pet hotel will tell you whether or not it has trouble with other pets. , real estate companies can obtain information on whether or not there have been complaints from neighbors and their contents as discipline information. Reliability evaluation data 80 is calculated using these pieces of information.

The evaluation index master data 511 is data corresponding to a function for calculating the reliability evaluation data 80 from the discipline data 30. Generally, the discipline data 30 is used as a variable, and calculation formulas and coefficients using the variable are included. For example, it includes the types of discipline data, weighting (coefficients) for each type of discipline data, and numerical conversion values for qualitatively expressed discipline data. It is preferable that the evaluation index master data 511 be created in cooperation with experts who are familiar with pet behavior, experts in the insurance field, real estate field, and the like. The created evaluation index master data 511 is stored in advance in the discipline data database 51.

The reliability evaluation data 80 is the result of calculation by the pet reliability evaluation unit 525 using the training data 30 and the evaluation index master data 511. An evaluation value (numeric value) representing reliability evaluation is stored in association with the pet ID. Furthermore, data such as data used for evaluation and evaluation implementation date may also be included. A data file illustrated for each pet is created.

The evaluation result utilization status data 514 is data related to the situation when the reliability evaluation data 80 was provided to the discipline information utilization company 90. The contents of the data include a company ID that uniquely identifies the company 90 that uses discipline information, a service ID that uniquely identifies the service in which the reliability evaluation data 80 is used, information that identifies the reliability evaluation data 80 used, and usage information. purpose, results of use, etc. The evaluation result utilization status data 514 is included in, for example, a request sent to the platform 50 from the discipline information usage company 90 to request the reliability evaluation data 80 or feedback data after the data is used. The information is acquired and accumulated each time it is provided to the company 90 using the discipline information. A data file illustrated for each company is created.

FIG. 9 is a flowchart illustrating a processing example in which the end user 20 starts using the platform 50 and starts registering and updating the discipline data 30.

First, the end user 20 enters into a contract with a training information providing company A (e.g., a real estate company, hereinafter referred to as company A), and collects information about himself and his pet (such as the pet's type, age, medical history, insurance coverage status, etc.). ) to Company A (S901). If it is done electronically, it may be transmitted from the terminal of the end user 20 to the business support system 70 of company A. The contract is, for example, a rental contract (FIG. 5, S508) that is entered into with a real estate company by the end user 20 who wants to move into a rental property with the pet 10.

Company A collects the information received from the end user 20 and information about the end user 20 and the pet 10 managed by the company (information such as the name of the service used, the property to move in, and the results of the tenant screening (Figure 5, S504 to S507)) ) is registered from the business support system 70 of company A to the platform 50 (S902). In addition, in order to obtain real-time information about the pet 10, we request the use of the pet training data collection device 60 as a condition at the time of moving in (this is omitted if this has already been done in the contract with the insurance company (Figure 5, S504)) Possible).

The platform 50 newly creates a data table for pet data 512, a data table for owner data 513, and a data table for discipline data 30 based on the information registered from company A (S903).

The platform 50 links the newly created data to the companies using the system (companies B, C, D, etc.) that the end user 20 has authorized to provide information (S904). For this purpose, for example, the end user 20 may transmit information on companies that are permitted to provide information to the business support system 70 from the terminal of the end user 20, or may directly register this information in the platform 50. The platform 50 associates information (for example, company ID) of a company that is permitted to share information with the user ID and registers it in the pet reliability evaluation data sharing unit 526.

Companies that are permitted to share information (companies such as insurance companies, veterinary hospitals, pet hotels, etc.) can send a request to the pet reliability evaluation data sharing section 526 of the platform 50 to receive training data 30 and reliability information regarding their pets. Evaluation data 80 can be used. Further, if the end user 20 gives permission, other information regarding the end user 20, such as the fact that a new rental contract has been concluded, is shared.

When stakeholders such as the end user 20 and companies A, B, C, and D acquire information that corresponds to the discipline data 30, they create or update the information in the discipline data 30 in the discipline data database 51. (S905). For example, when the end user 20 uses insurance, the insurance company with which the information has been linked registers information about the pet 10 and the usage status of the insurance provided by the end user 20 in the platform 50 as discipline data 30.

FIG. 10 explains a process in which the pet reliability evaluation unit 525 of the pet reliability evaluation system 52 generates reliability evaluation data 80 using the training data 30 of the training data database 51 and the evaluation index master data 511. This is a flowchart.

This process assumes that, for example, the pet reliability evaluation unit 525 performs batch processing periodically or at any predetermined timing.

The pet reliability evaluation unit 525 reads the training data 30 from the training data database 51. Further, evaluation index master data 511 for calculating reliability evaluation data 80 is read from the discipline data database 51. If there are multiple types of reliability evaluation data 80, evaluation index master data 511 exists for each type (normally, one type of reliability evaluation data 80 is sufficient). Since the training data 30 is recorded for each pet 10, a reliability evaluation value is calculated for each record of the training data 30 that exists for each pet by calculation based on the training data 30 for each pet and the reliability evaluation data 80. (S1001).

The pet's reliability evaluation value and information on the training data used are registered in the reliability evaluation data table as reliability evaluation data 80 (S1002). An example of the reliability evaluation data 80 that is created is, for example, one that calculates a score (eg, 80/100 points). Alternatively, the probability of occurrence of each event may be calculated as trend information (eg, 20% probability of a noise complaint occurring). Both values are treated as numerical data.

FIG. 11 is a table explaining the principle by which the pet reliability evaluation unit 525 calculates the reliability evaluation data 80 using the training data 30 and the evaluation index master data 511.

The discipline data 30 is data regarding one specific pet 10, and is linked to the pet ID in the database. In the example of FIG. 10, the discipline data 30 is hierarchized into "category (classification)" and "item name," but this is just an example and the data structure is arbitrary. Each “item name” corresponds to “content”. The content may be expressed numerically, such as ``90%,'' or it may be expressed in a non-numeric form, such as ``not increasing.''

The evaluation index master data 511 has "score" data for converting "content" information into a predetermined numerical value. Non-numeric content such as “not increasing” is converted into a numeric value by the evaluation index master data 511. Items expressed as numbers, such as "90%", can be used as is or converted to other numbers as appropriate.

In the example in Figure 11, "scores" are calculated from "content" corresponding to each of multiple item names, the scores are weighted using "item-specific weights in evaluation," and the multiple scores are added. The final reliability evaluation value has been obtained. Although it is possible to obtain a reliability evaluation value from a single item, in the case of this example, by obtaining multiple types of discipline data from different resources and generating reliability evaluation values from multiple discipline data, A reliability evaluation value (reliability evaluation data 80) with objective validity can be obtained.

A specific example of the utilization of the obtained reliability evaluation data 80 will be explained using FIG. 11. FIG. 11 shows an example of a reliability evaluation value calculation method based on training information for dogs that have lived in rental properties in the past. In this example, in the category "Comparison of moving in and out of properties previously occupied", there are the items "scratches on the floor" and "deodorizing work". This item is information representing changes in the state of the rental property where the pet 10 moved in before and after the pet moved in. This discipline data 30 is provided by real estate company A (discipline information providing company 40) that managed the rental property. In this example, where the number of scratches on the floor has not increased and the odor has hardly changed, the pet reliability evaluation unit 525 calculates the score so that the reliability of the pet becomes high, and ultimately the reliability of the pet is high. A reliability evaluation value indicating .

When real estate company B (discipline information usage company 90), which is allowed to use the reliability evaluation data 80 by the end user 20, receives a rental offer from the same end user 20, the end user 20 (pet 10) receives the information from the platform 50. ), and based on the reliability evaluation value and the information of each record, it is possible to judge whether the pet is reliable.

If it is determined that the pet is reliable, for example, a conditional loan of a property that does not allow pets may be made. Alternatively, lower security deposits on properties that allow pets.

According to the above embodiment, by identifying reliable pets, it is possible to omit examination procedures and avoid troubles caused by pets. When determining reliability, by acquiring multiple types of training data without restricting the attributes of the input device user, it is possible to evaluate reliability objectively, which is more reliable than reporting from the pet owner. . Since information from multiple entities can be aggregated to make decisions, objective decisions can be made. Efficient economic activities will become possible, which will consume less energy, reduce carbon emissions, prevent global warming, and contribute to the realization of a sustainable society.

Pet 10, end user 20, training data 30, training information providing company 40, platform 50, training data database 51, pet reliability evaluation system 52, business support system 70, reliability evaluation data 80

Claims (15)

A method for evaluating reliability of a pet using an information processing device, the method comprising:
The first step is to acquire multiple types of discipline data from multiple terminals,
a second step of storing the plurality of types of discipline data in a discipline data database;
a third step of reading the plurality of types of discipline data from the discipline data database and calculating reliability evaluation data using the discipline data and evaluation index master data;
Perform PET reliability evaluation method. The discipline data is generated by different information in time series,
The pet reliability evaluation method according to claim 1. The training data is generated based on the state before moving in and the state after moving in of the house in which the pet moved in,
The pet reliability evaluation method according to claim 2. The training data is generated based on how much wear and tear the state of the house in which the pet moved in after moving in compared to the state before moving in.
The pet reliability evaluation method according to claim 3. The training data is generated based on the pet's behavior while receiving a predetermined service.
The pet reliability evaluation method according to claim 2. The discipline data is generated based on the behavior of the pet while it is in a predetermined rental property.
The pet reliability evaluation method according to claim 2. The discipline data is generated based on time series information obtained from a sensor attached to the pet.
The pet reliability evaluation method according to claim 2. The evaluation index master data is obtained by converting each of the plurality of types of discipline data into numerical values and further weighting the data.
The pet reliability evaluation method according to claim 1. A rental housing tenancy examination method using the pet reliability evaluation method according to claim 4, comprising:
The reliability evaluation data is generated using the training data obtained from the first terminal and generated based on how much wear and tear the state of the house in which the pet has moved in after moving in is compared to the state before moving in. Calculate,
transmitting the reliability evaluation data to a second terminal and using it for tenant screening of rental housing;
Tenancy screening method for rental housing. In addition to the discipline data acquired from the first terminal, using discipline data based on time series information obtained from a sensor attached to the pet,
calculating the reliability evaluation data;
The rental housing occupancy examination method according to claim 9. comprising an input device, an output device, a storage device, and a processing device,
The processing device constitutes a pet reliability evaluation section,
The pet reliability evaluation unit obtains multiple types of training data collected from multiple terminals, and calculates reliability evaluation data using the training data and evaluation index master data.
Pet reliability evaluation system. The plurality of types of training data include training data indicating a difference between the state of the house in which the pet moved in before moving in and the state after moving in,
The pet reliability evaluation system according to claim 11. The plurality of types of discipline data include discipline data indicating the behavior of the pet acquired by a sensor attached to the pet.
The pet reliability evaluation system according to claim 11. The evaluation index master data is obtained by converting each of the plurality of types of discipline data into numerical values and further weighting the data.
The pet reliability evaluation system according to claim 11. The processing device further configures a reliability evaluation data sharing section,
The reliability evaluation data sharing unit allows a predetermined terminal selected from the plurality of terminals and other terminals to access the reliability evaluation data.
The pet reliability evaluation system according to claim 11.

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