KR20220152454A - Vacant house transaction system and vacant house transaction method for constructing transaction nework system - Google Patents

Abstract

The present invention relates an empty house transaction system and an empty house transaction method for establishing a transaction network system. The empty house transaction system comprises: a purchase request receiving unit which receives a purchase request including purchase conditions from a purchaser terminal; a candidate empty house determining unit which generates a query command including the purchase conditions and queries an empty house information system to determine at least one candidate empty house that satisfies the purchase conditions; an empty house diagnosis execution unit which determines an empty house grade through grade diagnosis of the at least one candidate empty house and determines an estimated price and recommended use of the at least one candidate empty house by reflecting the empty house grade; and an empty house matching unit which receives a selling request including selling conditions from a seller terminal and determines a selling request matching the purchase request based on the purchase and selling conditions, and the empty house grade, the estimated price, and the recommended use of the at least one candidate empty house. According to the present invention, the system and method can support the transactions of empty houses across the country.

Description

Vacant house trading system and vacant house trading method for building a trading network system

The present invention relates to vacant house trading technology, and more particularly, to a vacant house trading system and vacant house trading method for establishing a trading network system capable of supporting nationwide vacant house trading to solve various social problems caused by vacant houses such as crime and fire at the source. It is about.

Currently, urban problems are appearing in various forms around life as society becomes more diverse. Specifically, the decline and hollowing out of the old city center, and the movement of population and employment due to urban development and new town development are occurring, and the living convenience facility function of the neighborhood living environment due to the aging of the city sufficiently satisfies the needs of the new, young residential generation. Things are happening that you can't do anything about. Due to this, along with the phenomenon of avoiding the existing old city center and the departure of the existing old city center residents from their living zones, a large number of vacant houses are generated and neglected along with the hollowing out of the city center, and new urban problems are emerging.

The incidence of vacant houses has increased significantly across the country, regardless of rural areas, causing many problems, both large and small, in local communities.

American criminologists James Wilson and George Kelling's 'Broken Windows Theory' refers to a phenomenon that occurs when an empty house is left unattended for a long period of time as a theory about social disorder. As a result of a study on the social phenomenon that occurs when an empty house with broken windows and an empty house with unbroken windows are left as test subjects, preventing broken windows causes crime to spread around that point and causes disorder in the city. It is a theory of a phenomenon that can make a house and nurture another empty house.

Therefore, in order to prevent additional crimes, the importance of vacant house management is on the rise, and it is necessary to prepare a plan to effectively eliminate vacant houses through activation of vacant house transactions.

Korean Patent Registration No. 10-2011773 (2019.08.12)

An embodiment of the present invention is to provide a vacant house trading system and a vacant house trading method for establishing a trading network system capable of supporting nationwide vacant house trading to solve various social problems caused by vacant houses such as crime and fire.

An embodiment of the present invention is a vacant house trading system and vacant house for establishing a transaction network system capable of processing a matching request for vacant house transaction based on buying conditions and selling conditions, vacant house grade for candidate vacant house, estimated price, and recommended use. We want to provide a trading method.

Among the embodiments, the vacant house trading system includes a purchase request receiving unit receiving a purchase request including purchase conditions from a purchaser terminal; a candidate vacant house determining unit generating a query command including the purchase condition and querying an vacant house information system to determine at least one candidate vacant house that satisfies the purchase condition; an vacant house diagnosis unit which determines a vacant house grade through grade diagnosis of the at least one candidate vacant house and determines an estimated price and recommended use of the at least one candidate vacant house by reflecting the vacant house grade; and receiving a sale request including sale conditions from the seller terminal, and receiving a sale request matching the purchase request based on the purchase conditions and sale conditions, the vacant house class for the at least one candidate vacant house, the estimated price, and the recommended use. and an vacant house matching unit that determines.

The purchase request receiving unit may receive a purchase request including the location, price, and use of an empty house desired to be purchased as the purchase conditions.

The vacant house diagnosis unit may receive vacant house status data about the at least one candidate vacant house through the vacant house information system and classify vacant house grades of the candidate vacant houses based on the vacant house status data.

designating a neighborhood living area of each of the corresponding candidate vacant houses by the vacant house diagnosis unit; Defining the distribution of vacant houses, the distribution of old/defective houses, the status of parcels, road accessibility, slope, demographic/social characteristics, and the status of the housing market in the neighborhood living area as independent dimensions; determining a reference magnification corresponding to the corresponding empty house class for each of the candidate empty houses and applying the reference magnification to dimension values of the dimensions to generate a feature vector related to the neighborhood environment of the corresponding empty houses; and determining the estimated price based on an artificial intelligence model built as a result of learning the feature vector.

determining a first range of the purchase price of the purchase condition by the vacant house matching unit; determining a first candidate vacant house whose estimated price satisfies the first range among the at least one candidate vacant house; determining a second range for the purchase price based on an average vacant house grade and an average selling condition of the first candidate vacant houses; determining a second candidate vacant house that satisfies the second range from among the first candidate vacant houses; and determining the sale request according to a result of sorting the second candidate vacant houses according to the vacant house class and the estimated price.

The vacant house matching unit calculates the distance to the at least one candidate vacant house based on the location of the purchase condition, calculates a deviation from the estimated price of the at least one candidate vacant house based on the price of the purchase condition, and calculates the purchase condition. After calculating the similarity of the at least one candidate vacant house with the recommended purpose based on the use of , a recommendation score for the at least one candidate vacant house may be calculated based on the distance, the deviation, and the similarity.

When a sale request matching the purchase request is determined, the vacant house trading system requests matching approval from the seller terminal associated with the sale request and provides a list of pre-verified construction companies together to support a function for linking with the construction company. It may further include a construction company linkage to do.

Among the embodiments, the vacant house transaction method includes receiving a purchase request including purchase conditions from a purchaser terminal; determining at least one candidate vacant house that satisfies the purchase condition by generating a query command including the purchase condition and querying an unoccupied house information system; determining an unoccupied house grade by diagnosing the grade of the at least one candidate vacant house, and determining an estimated price and a recommended use of the at least one candidate vacant house by reflecting the vacant house grade; and receiving a sale request including sale conditions from the seller terminal, and receiving a sale request matching the purchase request based on the purchase conditions and sale conditions, the vacant house class for the at least one candidate vacant house, the estimated price, and the recommended use. It includes a decision-making step.

The disclosed technology may have the following effects. However, it does not mean that a specific embodiment must include all of the following effects or only the following effects, so it should not be understood that the scope of rights of the disclosed technology is limited thereby.

The vacant house trading system and vacant house trading method for building a trading network system according to an embodiment of the present invention can support nationwide vacant house trading to solve various social problems caused by vacant houses such as crime and fire.

The vacant house trading system and vacant house trading method for building a trading network system according to an embodiment of the present invention requests matching for vacant house trading based on buying conditions and selling conditions, vacant house grades for candidate vacant houses, estimated prices, and recommended uses. can be dealt with

1 is a diagram illustrating a vacant house trading system according to the present invention.
FIG. 2 is a diagram explaining the system configuration of the vacant house trading device in FIG. 1 .
FIG. 3 is a diagram explaining the functional configuration of the vacant house trading device of FIG. 1 .
4 is a flowchart illustrating a vacant house trading method according to the present invention.
5 is a diagram explaining a process of analyzing a neighborhood environment around an empty house according to the present invention.
6 is a diagram for explaining an embodiment of a method for diagnosing an empty house according to the present invention.

Since the description of the present invention is only an embodiment for structural or functional description, the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, since the embodiment can be changed in various ways and can have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing the technical idea. In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such effects, the scope of the present invention should not be construed as being limited thereto.

Meanwhile, the meaning of terms described in this application should be understood as follows.

Terms such as "first" and "second" are used to distinguish one component from another, and the scope of rights should not be limited by these terms. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected to the other element, but other elements may exist in the middle. On the other hand, when an element is referred to as being "directly connected" to another element, it should be understood that no intervening elements exist. Meanwhile, other expressions describing the relationship between components, such as “between” and “immediately between” or “adjacent to” and “directly adjacent to” should be interpreted similarly.

Expressions in the singular number should be understood to include plural expressions unless the context clearly dictates otherwise, and terms such as “comprise” or “having” refer to an embodied feature, number, step, operation, component, part, or these. It should be understood that it is intended to indicate that a combination exists, and does not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

In each step, the identification code (eg, a, b, c, etc.) is used for convenience of explanation, and the identification code does not describe the order of each step, and each step clearly follows a specific order in context. Unless otherwise specified, it may occur in a different order than specified. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

The present invention can be implemented as computer readable code on a computer readable recording medium, and the computer readable recording medium includes all types of recording devices storing data that can be read by a computer system. . Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. In addition, the computer-readable recording medium may be distributed to computer systems connected through a network, so that computer-readable codes may be stored and executed in a distributed manner.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless defined otherwise. Terms defined in commonly used dictionaries should be interpreted as consistent with meanings in the context of the related art, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present application.

A vacant house legally corresponds to a house where no one has lived or used for at least one year from the date on which the Special Self-Governing City Mayor, Special Self-Governing Province Governor, or the head of a city, county, or autonomous district confirms whether or not the residence or use is confirmed. Housing may be excluded. However, the vacant house trading system and the vacant house trading method according to the present invention may be applied by modifying and changing the definition of the vacant house in various ways according to the usage environment.

Hereinafter, the configuration and operation of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a vacant house trading system according to the present invention.

Referring to FIG. 1 , the vacant house trading system 100 may include a user terminal 110 , an vacant house trading device 130 and a database 150 . The vacant house trading system 100 may operate in conjunction with a previously built vacant house information system (not shown in FIG. 1 ).

The user terminal 110 may correspond to a computing device capable of confirming a matching result by using the vacant house trading system 100 and inputting purchase conditions for vacant house trading. The user terminal 110 may be implemented as a smart phone, laptop, or computer that is connected to and operable with the vacant house trading device 130, is not necessarily limited thereto, and may be implemented with various devices such as a tablet PC.

In addition, the user terminal 110 may install and execute a dedicated program or application for interworking with the vacant house trading device 130 . Through this, the user terminal 110 can use various services provided by the vacant house trading device 130 . In this case, the user terminal 110 may correspond to a buyer terminal or a seller terminal. That is, a buyer who wants to buy a vacant house can receive and utilize various selling information provided by the vacant house trading system 100 through the buyer terminal, and a seller who wants to sell an empty house can receive and utilize various selling information provided by the vacant house trading system 100 through the seller terminal. A variety of purchase information provided can be received and utilized.

The vacant house trading device 130 may collect vacant house information from the vacant house information system, and based on this, a computer or program capable of relaying vacant house transactions by matching a sale request registered in a seller terminal with a purchase request registered in a buyer terminal. It can be implemented as a server corresponding to The vacant house trading device 130 may be connected to the user terminal 110 through a wireless network such as Bluetooth or WiFi, and may transmit/receive data with the user terminal 110 through the network.

The database 150 may correspond to a storage device that stores various pieces of information necessary for the operation of the vacant house trading device 130 . For example, the database 150 may store vacant house data collected through the vacant house information system, and may store information on purchase requests or sales requests received from the user terminal 110, but is not necessarily limited thereto, The vacant house trading device 130 may store collected or processed information in various forms in the process of mutually matching purchase requests and sales requests for vacant house transactions.

FIG. 2 is a diagram explaining the system configuration of the vacant house trading device in FIG. 1 .

Referring to FIG. 2 , the vacant house trading device 130 may be implemented by including a processor 210, a memory 230, a user input/output unit 250, and a network input/output unit 270.

The processor 210 may execute a procedure for processing each step in the process of the vacant house trading device 130 operating, and manage the memory 230 read or written throughout the process, and the memory 230 ), you can schedule the synchronization time between volatile memory and non-volatile memory. The processor 210 can control the overall operation of the vacant house trading device 130, and is electrically connected to the memory 230, the user input/output unit 250, and the network input/output unit 270 to control data flow between them. can The processor 210 may be implemented as a central processing unit (CPU) of the vacant house trading device 130 .

The memory 230 is implemented as a non-volatile memory such as a solid state drive (SSD) or a hard disk drive (HDD) and may include an auxiliary storage device used to store all data necessary for the vacant house trading device 130, It may include a main memory implemented as a volatile memory such as RAM (Random Access Memory).

The user input/output unit 250 may include an environment for receiving user input and an environment for outputting specific information to the user. For example, the user input/output unit 250 may include an input device including an adapter such as a touch pad, a touch screen, an on-screen keyboard, or a pointing device, and an output device including an adapter such as a monitor or touch screen. In one embodiment, the user input/output unit 250 may correspond to a computing device connected through a remote connection, and in such a case, the vacant house trading device 130 may be implemented as an independent server.

The network input/output unit 270 includes an environment for connecting to an external device or system through a network, and includes, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), and a VAN ( An adapter for communication such as Value Added Network) may be included.

FIG. 3 is a diagram explaining the functional configuration of the vacant house trading device of FIG. 1 .

Referring to FIG. 3 , the vacant house trading device 130 includes a purchase request receiving unit 310, a candidate vacant house determining unit 330, a vacant house diagnosis unit 350, a vacant house matching unit 370, and a linking unit 390. And it may include a control unit (not shown in FIG. 3).

The purchase request receiving unit 310 may receive a purchase request including purchase conditions from a purchaser terminal. A buyer who wants to buy a vacant house may input purchase conditions through the buyer's terminal, and may register a purchase request related thereto to the vacant house trading device 130 . That is, the vacant house trading device 130 may receive various purchase requests, register them in a purchase request pool for relaying purchases, and match purchase requests registered in the purchase request pool with sale requests. can

In one embodiment, the purchase request receiving unit 310 may receive a purchase request including the location, price, and use of an empty house desired to be purchased as purchase conditions. The purchase request receiving unit 310 may receive information necessary for matching through a dedicated interface, and in particular, as purchase conditions, it may necessarily receive the location, price, and use of an empty house. At this time, the location of the vacant house may be input in the form of GPS coordinates, road name address, or the like, or may be input by selecting a specific location on the electronic map. In addition, the price of an empty house may be input by directly inputting a specific amount or by setting a predetermined range. In addition, the use of the vacant house may be input in a manner of selecting at least one from a list of preset vacant house uses.

To this end, the purchase request receiving unit 310 may perform pre-processing to check validity of purchase conditions when a purchase request is received from a purchaser terminal. If the purchase request does not pass the validation of the purchase conditions, the purchase request receiving unit 310 may not register the corresponding purchase request in the purchase request pool. In this case, the buyer may receive a notification requesting input of additional information or correction of previously input information through the buyer terminal, and the purchase request may be normally registered through re-input of related information.

The candidate vacant house determination unit 330 may determine at least one candidate vacant house that satisfies the purchase condition by generating a query command including purchase conditions and querying the vacant house information system. Here, the candidate vacant house may correspond to an vacant house that is predicted to be highly likely to be purchased by the buyer because it satisfies the purchase condition input by the buyer. In addition, the candidate vacant house determination unit 330 may set a query range based on the number of purchase conditions, generate at least one query command within the query range, and receive a response to each query command to determine at least one candidate vacant house. can

Also, the candidate vacant house determining unit 330 may generate a query command using a command set for interworking with the vacant house information system. For example, the candidate vacant house determination unit 330 may generate a query command through a combination of a specific command of the command set and a purchase condition, and generate one query command by connecting a plurality of query commands through a logical operator. You may. The query commands generated by the candidate vacant house determining unit 330 may be sequentially queried to the vacant house information system, and the candidate vacant house determining unit 330 responds to the purchase request based on the vacant house information provided by the vacant house information system. Candidate vacant houses can be determined.

The vacant house diagnosis unit 350 may determine the vacant house level by diagnosing the level of at least one candidate vacant house, and determine the estimated price and recommended use of the at least one candidate vacant house by reflecting the vacant house level. The vacant house diagnosis unit 350 is a basis for matching a vacant house more suitable to a buyer by performing a diagnosis on each candidate vacant house when there are a plurality of candidate vacant houses that satisfy purchase conditions by the candidate vacant house determination unit 330. information can be obtained.

That is, the candidate vacant house may primarily correspond to an vacant house that satisfies the purchase condition input by the buyer, and the vacant house diagnosis unit 350 may perform vacant house diagnosis by applying various criteria to the candidate vacant houses. As a result of performing the diagnosis, the vacant house diagnosis unit 350 may determine a vacant house grade for each candidate vacant house, and may additionally generate an estimated price for purchase or a recommended use.

In an embodiment, the vacant house diagnosis unit 350 may receive vacant house status data on at least one candidate vacant house through the vacant house information system and classify the vacant house grades of the candidate vacant houses based on the vacant house status data. The vacant house diagnosis unit 350 may receive and utilize information necessary for vacant house diagnosis from the vacant house information system, and may determine the vacant house grade based on the vacant house status data. At this time, the vacant house status data may include information about the location, state, environment, etc. of the vacant house, and may include, for example, energy consumption, serial cadastral map, building address, neighborhood environment, and the like. The vacant house diagnosis unit 350 may perform grade analysis for each variable of the vacant house status data and may finally determine the vacant house grade by integrating the grade analysis results for each variable.

In one embodiment, the vacant house diagnosis unit 350 designates the neighborhood living area of each of the candidate vacant houses, the distribution of vacant houses in the neighborhood living area, the distribution of old and poor houses, the status of lots, road accessibility, slope, population and Defining social characteristics and the housing market status as independent dimensions, determining a reference scale corresponding to the vacant house class for each of the candidate vacant houses, and applying the reference scale to the dimension values of the dimensions to determine the neighborhood environment of the corresponding vacant houses A step of generating a feature vector for and a step of determining an estimated price based on an artificial intelligence model built as a result of learning the feature vector may be performed.

More specifically, the vacant house diagnosis unit 350 may designate a neighborhood area of each of the candidate vacant houses. The neighborhood living area may be designated as an area within a predetermined radius around the candidate vacant house, and may be determined according to an effective distance that may or may affect utilization of the candidate vacant house. For example, the neighborhood life area may be designated as an area within a radius of 400 m based on the location of the candidate vacant house.

In addition, the vacant house diagnosis unit 350 may define the distribution of vacant houses in the neighborhood living area, the distribution of old/defective houses, the status of parcels, road accessibility, slope, demographic/social characteristics, and the current status of the housing market as independent dimensions. That is, the vacant house diagnosis performing unit 350 can largely classify and define major factors that can affect the living environment of vacant houses in the neighborhood living area into population factors, economic factors, and residential factors, and can define various factors around candidate vacant houses. Factors can be specified as independent variables and reflected in the analysis process of candidate vacant houses.

Here, the vacant house distribution may include information about the number and density of vacant houses, the distance between vacant houses, and the like in the neighborhood living area. The distribution of dilapidated and poor houses may include information about the number and density of corresponding houses, distance between houses, and the like within the area of neighborhood living conditions. The status of parcels may include information on the number, use, and size of parcels within the neighborhood living area. Road accessibility may include information about the distribution and length of roads within the neighborhood living area. The slope may include information about the altitude and slope of each road within the neighborhood living area. Demographic and social characteristics may include information about age, gender, occupation, religion, and education of the resident population within the neighborhood life area. The current state of the housing market may include sales information, real estate prices, and the like within the neighborhood living area.

In addition, the vacant house diagnosis unit 350 determines a reference magnification corresponding to the corresponding vacant house grade for each of the candidate vacant houses and applies the reference magnification to dimension values of the dimensions to generate a feature vector related to the neighborhood environment of the vacant houses. can do. The vacant house diagnosis unit 350 may obtain vacant house grade information of the candidate vacant house through the vacant house information system, and may refer to a standard magnification ratio for each vacant house class prepared in advance and apply it to the digitization result of each independent dimension. For example, the reference magnification may be set higher as the vacant house grade is higher. The vacant house diagnosis performing unit 350 converts the neighborhood environment of the vacant house into feature vectors, which can then be used to build a learning model for vacant house price prediction.

In addition, the vacant house diagnosis unit 350 may determine an estimated price based on an artificial intelligence model built as a result of learning the feature vector. The vacant house diagnosis unit 350 may build a price estimation model of the candidate vacant house by quantifying environmental factors of the candidate vacant house and learning a feature vector generated based on the environmental factors. The vacant house diagnosing unit 350 may comprehensively predict the estimated price of the characteristic vacant house based on the price estimation model.

In an embodiment, the vacant house diagnosis performer 350 may determine the recommended purpose based on an artificial intelligence model built as a result of learning the feature vector. The vacant house diagnosis unit 350 may quantify the environmental factors of the candidate vacant house and learn a feature vector generated based thereon to build a model for recommending the use of the candidate vacant house. The vacant house diagnosis performer 350 may comprehensively determine the recommended use for the characteristic vacant house based on the use recommendation model.

The vacant house matching unit 370 receives a sale request including sale conditions from the seller terminal, and sells a sale matched to the purchase request based on the purchase conditions and sale conditions, the vacant house class for at least one candidate vacant house, the estimated price, and the recommended use. request can be determined. Upon receiving the sale request, the vacant house matching unit 370 may verify the validity of the sale condition, register the sale request that has passed the verification in a sale request pool for sale relay, and place the sale request pool in the sale request pool. Matching with buy requests may be performed on registered sell requests.

In this case, the matching operation between the purchase and sale requests may be performed in consideration of purchase and sale conditions, vacant house grades for candidate vacant houses, estimated prices, and recommended uses. For example, with respect to the candidate vacant house, the matching rate between the purchase condition and the sale condition may be determined, and the similarity rate between the purchase condition and the sale condition may be determined. A matching score may be calculated according to a request or a sale request. That is, the higher the matching rate or the higher the similarity rate, the higher the matching score can be calculated.

In one embodiment, the step of determining, by the vacant house matching unit 370, a first range for the purchase price of purchase conditions, and the step of determining a first candidate vacant house whose estimated price satisfies the first range among at least one candidate vacant house. , Determining a second range for the purchase price based on the average vacant house grade of the first candidate vacant houses and the average sale condition, determining a second candidate vacant house that meets the second range among the first candidate vacant houses, and A step of determining a sale request may be performed according to a result of sorting candidate vacant houses according to vacant house grades and estimated prices.

More specifically, the vacant house matching unit 370 may determine a first range for the purchase price of the purchase condition. The buyer may input a desired purchase price as a purchase condition through the purchaser terminal, and in this case, the purchase price may be input as a specific value or a range of values. When the purchase price is input as a specific value, the first range may be determined by applying a preset range value based on the specific value. If the specific value is a and the range value is b, the first range may be determined as a±b. When the purchase price is input as a range value, the first range may be determined as the corresponding range value, and as another example, may be determined by applying a preset range value based on a median value of the range values.

Also, the vacant house matching unit 370 may determine a first candidate vacant house whose estimated price satisfies the first range among at least one candidate vacant house. In addition, the vacant house matching unit 370 may determine the second range of the purchase price based on the average vacant house grade of the first candidate vacant house and the average sale condition. In this case, the average sale condition of the first candidate vacant houses may be reflected only when a sale request is registered among the first candidate vacant houses.

Also, the vacant house matching unit 370 may determine a second candidate vacant house that satisfies the second range among the first candidate vacant houses. Also, the vacant house matching unit 370 may perform a step of determining a sale request according to a result of sorting the second candidate vacant houses according to the vacant house class and the estimated price. That is, the vacant house matching unit 370 may arrange the second candidate vacant houses in order of vacant house class or estimated price, and then provide candidate vacant houses within a specific rank as a matching result.

In one embodiment, the vacant house matching unit 370 calculates the distance to at least one candidate vacant house based on the location of the purchase condition and calculates a deviation from the estimated price of the at least one candidate vacant house based on the price of the purchase condition. After calculating the similarity of at least one candidate vacant house with the recommended purpose based on the usage of purchase conditions, a recommendation score for at least one candidate vacant house can be calculated based on the distance, deviation, and similarity.

For example, when a specific region or administrative district is designated as a purchase condition, the vacant house matching unit 370 may calculate the distance to at least one candidate vacant house based on the location of the center of the region, and a candidate within a preset distance. Matching may be performed by selecting empty houses. In addition, the vacant house matching unit 370 may perform matching by selecting candidate vacant houses where the deviation between the purchase condition price and the estimated price of the candidate vacant house is equal to or less than a preset price. In addition, the vacant house matching unit 370 may calculate the degree of similarity between the use of the purchase condition and the recommended purpose of the candidate vacant house, and perform matching by selecting candidate vacant houses having a similarity or higher than a preset similarity. The vacant house matching unit 370 may independently apply each variable in a matching process based on distance, deviation, and similarity, and may calculate a recommendation score for matching by applying all variables in an integrated manner, if necessary.

When a sale request that matches the purchase request is determined, the construction company connection unit 390 requests matching approval from the seller terminal associated with the sale request and provides a list of pre-verified construction companies together to link with the builder. can support The construction company linking unit 390 may request matching approval while providing matching details to the seller terminal according to the matching, and the seller may input approval for the corresponding matching details and decide to sell the vacant house. In this case, the construction company linking unit 390 may provide the seller terminal with a list of registered construction companies after preliminary verification, and the seller may designate a specific construction company along with matching approval after confirming the list. In this case, the specific construction company may preferentially participate in the construction contract for the utilization of the vacant house in the future in relation to the sale of the candidate vacant house according to the matching.

The control unit (not shown in FIG. 3 ) controls the overall operation of the vacant house trading device 130, and includes the purchase request receiving unit 310, the candidate vacant house determining unit 330, the vacant house diagnosis unit 350, and the vacant house matching unit ( Control flow or data flow between the 370) and the construction company linking unit 390 may be managed.

4 is a flowchart illustrating a vacant house trading method according to the present invention.

Referring to FIG. 4 , the vacant house trading apparatus 130 may receive a purchase request including purchase conditions from a purchaser terminal through the purchase request receiving unit 310 (step S410). The vacant house trading apparatus 130 may determine at least one candidate vacant house that satisfies the purchase condition by generating a query command including purchase conditions through the candidate vacant house determination unit 330 and querying the vacant house information system (step S430). .

In addition, the vacant house trading apparatus 130 determines the vacant house grade by diagnosing the grade of at least one candidate vacant house through the vacant house diagnosis unit 350 and reflects the vacant house grade to estimate the price and recommendation of the at least one candidate vacant house. The purpose can be determined (step S450). The vacant house trading device 130 receives a sale request including sale conditions from the seller terminal through the vacant house matching unit 370, and determines the purchase conditions and sale conditions, the vacant house class for at least one candidate vacant house, the estimated price, and the recommended purpose. Based on this, a sale request matching the purchase request may be determined (step S470).

5 is a diagram explaining a process of analyzing a neighborhood environment around an empty house according to the present invention.

Referring to FIG. 5 , the vacant house trading apparatus 130 may analyze the neighborhood environment around the vacant house by class through the vacant house diagnosis unit 350 . That is, the vacant house diagnosis unit 350 may collect key information necessary for determining the price of an empty house or the use of an empty house from among the living environments around the empty house, digitize each key information, and generate a feature vector that compressively expresses the neighborhood environment. have.

In FIG. 5 , the vacant house diagnosis unit 350 may designate an area within 400 m from the specific vacant house 510 as the neighborhood living area 520 . Thereafter, the vacant house diagnosis unit 350 measures the distribution of vacant houses in the neighborhood living area, the distribution of old/defective houses, the status of parcels, road accessibility, slope, demographic/social characteristics, and the current status of the housing market in independent dimensions (a, b, c). , d, ...). In addition, the vacant house diagnosis unit 350 applies a reference magnification (E) corresponding to the grade of the specific vacant house 510 to each dimension value (× 1/E) to obtain a feature vector 530 for the neighborhood environment around the vacant house. can create Thereafter, the feature vector generated by the vacant house diagnosis unit 350 may be used for estimating the price of the vacant house or recommending a use.

6 is a diagram for explaining an embodiment of a method for diagnosing an empty house according to the present invention.

Referring to FIG. 6 , the vacant house trading apparatus 130 determines the vacant house grade by diagnosing the grade of at least one candidate vacant house through the vacant house diagnosis unit 350 and reflects the vacant house grade to determine the vacant house grade for the at least one candidate vacant house. Estimated price and recommended use can be determined. To this end, the vacant house diagnosis performing unit 350 may compare the distribution of vacant houses within the neighborhood living area, the distribution of old/defective houses, the status of parcels, road accessibility, slope, demographic/social characteristics, and housing market status of the candidate vacant houses in each dimension. At this time, the distribution of vacant houses and the distribution of old/defective houses in the neighborhood living area may correspond to the dimension criterion 610.

In addition, the vacant house diagnosis performer 350 may generate a visualization map for a corresponding dimensional value for each dimension, and for this purpose may receive vacant house estimation information and field survey results from the vacant house information system. Thereafter, the vacant house diagnosis unit 350 may apply independent weights for each dimension of the vacant house estimation information and the field survey result.

For example, in FIG. 6 , the vacant house diagnosis unit 350 differentially assigns weights (w ₁ , w ₂ ) to vacant house estimation information and field survey results according to the level of dimension values for each dimension criterion 610. can do. The vacant house diagnosis unit 350 may determine a relative ratio between the vacant house estimation information and the field survey result based on the integrated weight of the dimension criteria 610 . Specifically, since the integrated weight of the vacant house estimation information is 33 and the combined weight of the field survey result is 32, the vacant house diagnosis unit 350 may apply 33/65 and 32/65 as relative ratios to each piece of information. . The vacant house diagnosis performer 350 may generate a visualization map based on a result obtained by applying the relative ratio for each dimension criterion 610 to each dimension value and summing the result. At this time, the visualization map can be used in the process of determining the estimated price and recommended use of the candidate vacant house. That is, the visualization map can be used as basic information for generating feature vectors of candidate vacant houses.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

100: vacant house trading system
110: user terminal 130: vacant house trading device
150: database
210: processor 230: memory
250: user input/output unit 270: network input/output unit
310: purchase request reception unit 330: candidate vacant house determination unit
350: vacant house diagnosis unit 370: vacant house matching unit
390: Construction company connection department
510: empty house 520: neighborhood living area
530: feature vector
610: dimension criteria

Claims (8)

a purchase request receiving unit receiving a purchase request including purchase conditions from a purchaser terminal;
a candidate vacant house determining unit generating a query command including the purchase condition and querying an vacant house information system to determine at least one candidate vacant house that satisfies the purchase condition;
an vacant house diagnosis unit which determines a vacant house grade through grade diagnosis of the at least one candidate vacant house and determines an estimated price and recommended use of the at least one candidate vacant house by reflecting the vacant house grade; and
A sale request including sale conditions is received from the seller terminal, and a sale request matching the purchase request is determined based on the purchase conditions and sale conditions, the vacant house class for the at least one candidate vacant house, the estimated price, and the recommended use. A vacant house trading system for building a trading network system including a vacant house matching unit.
The method of claim 1, wherein the purchase request receiving unit
A vacant house trading system for establishing a trading network system, characterized in that receiving a purchase request including the location, price and use of the vacant house desired to be purchased as the purchase condition.
The method of claim 1, wherein the vacant house diagnosis performing unit
Vacant house trading system for building a trading network system, characterized in that for receiving vacant house status data on the at least one candidate vacant house through the vacant house information system and classifying vacant house grades of the candidate vacant houses based on the vacant house status data.
The method of claim 3, wherein the vacant house diagnosis performing unit
designating a neighborhood living area of each of the candidate vacant houses;
Defining the distribution of vacant houses, the distribution of old/defective houses, the status of parcels, road accessibility, slope, demographic/social characteristics, and the status of the housing market in the neighborhood living area as independent dimensions;
determining a reference magnification corresponding to the corresponding empty house class for each of the candidate empty houses and applying the reference magnification to dimension values of the dimensions to generate a feature vector related to the neighborhood environment of the corresponding empty houses; and
An empty house trading system for establishing a trading network system, characterized in that performing the step of determining the estimated price based on an artificial intelligence model built as a result of learning the feature vector.
The method of claim 1, wherein the vacant house matching unit
determining a first range for a purchase price of the purchase condition;
determining a first candidate vacant house whose estimated price satisfies the first range among the at least one candidate vacant house;
determining a second range for the purchase price based on an average vacant house grade and an average selling condition of the first candidate vacant houses;
determining a second candidate vacant house that satisfies the second range from among the first candidate vacant houses; and
and determining the sale request according to a result of sorting the second candidate vacant houses according to the vacant house class and the estimated price.
The method of claim 2, wherein the vacant house matching unit
The distance to the at least one candidate vacant house is calculated based on the position of the purchase condition, the deviation from the estimated price of the at least one candidate vacant house is calculated based on the price of the purchase condition, and the usage of the purchase condition is calculated. After calculating the similarity of the at least one candidate vacant house with the recommended purpose, the establishment of a trading network system characterized in that a recommendation score for the at least one candidate vacant house is calculated based on the distance, the deviation, and the similarity. vacant house trading system for
According to claim 1,
When a sale request matching the purchase request is determined, a construction company connection unit that supports a function for linking with a construction company by providing a list of pre-verified construction companies while requesting matching approval from the seller terminal associated with the sale request. An empty house trading system for building a trading network system, characterized in that it further comprises.
Receiving a purchase request including purchase conditions from a purchaser terminal;
determining at least one candidate vacant house that satisfies the purchase condition by generating a query command including the purchase condition and querying an unoccupied house information system;
determining an unoccupied house grade by diagnosing the grade of the at least one candidate vacant house, and determining an estimated price and a recommended use of the at least one candidate vacant house by reflecting the vacant house grade; and
A sale request including sale conditions is received from the seller terminal, and a sale request matching the purchase request is determined based on the purchase conditions and sale conditions, the vacant house class for the at least one candidate vacant house, the estimated price, and the recommended use. An empty house trading method for establishing a trading network system comprising the step of doing.

Images