KR20220152455A - Vacant house maintenance plan establishment method and apparatus - Google Patents

Abstract

The present invention relates to a vacant house maintenance plan establishment method and device. The method comprises the steps of: collecting vacant house status data in a specific area; classifying a grade of corresponding vacant houses based on the vacant house status data; analyzing neighborhood environments around the corresponding vacant houses for each grade; and recommending uses of the corresponding vacant houses by applying an artificial intelligence model to the analysis result of the neighborhood environment. Therefore, the present invention can maintain the establishment of a vacant house maintenance plan according to the Act on Special Cases, related guidelines, etc. concerning the Maintenance of Vacant Houses and Small Houses and can produce the maximum effect through additional field surveys, introduction of new concepts, etc.

Description

Vacant house maintenance plan establishment method and device {VACANT HOUSE MAINTENANCE PLAN ESTABLISHMENT METHOD AND APPARATUS}

The present invention relates to a vacant house maintenance plan establishment technology, and more particularly, to a vacant house maintenance plan establishment method and apparatus capable of supporting the establishment of an empty house maintenance plan that maximizes the effect of utilizing an empty house based on an analysis of the neighborhood environment around the empty house. .

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 the phenomenon that can make a house and nurture another empty house. Therefore, the importance of vacant house management is emerging to prevent additional crimes.

Korean Patent Registration No. 10-2011773 (2019.08.12)

An embodiment of the present invention is to provide a method and apparatus for establishing a vacant house maintenance plan that can support the establishment of a vacant house maintenance plan that maximizes the effect of utilizing the vacant house based on the analysis of the neighborhood environment around the vacant house.

An embodiment of the present invention is a vacant house maintenance plan establishment method that maintains the vacant house maintenance plan establishment according to the Act on Special Cases Concerning the Maintenance of Vacant Houses and Small Houses and related guidelines, and produces the maximum effect by additional field surveys and introduction of new concepts. and to provide a device.

Among embodiments, a method for establishing a vacant house maintenance plan may include collecting data on vacant house status in a specific area; classifying a grade of corresponding vacant houses based on the vacant house status data; analyzing neighborhood environments around the corresponding vacant houses for each grade; and recommending uses for the corresponding vacant houses by applying an artificial intelligence model to the analysis result of the neighborhood environment.

The collecting of vacant house status data may include determining candidate vacant houses that satisfy a preset estimation standard based on electricity usage, water supply usage, and city gas usage by household in the specific region; acquiring a building address by matching a road name address building DB to a candidate vacant house that succeeds in matching as a result of matching the candidate vacant houses on the serial cadastral map; and collecting a result of matching the candidate vacant houses with the estimation criteria, the serial cadastral map and the road name address building DB, and the building address as the vacant house status data.

The step of analyzing by grade may include designating a neighborhood living area of each of the corresponding 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; and determining a reference magnification corresponding to the class of the corresponding vacant house and applying the reference magnification to dimension values of the dimensions to generate a feature vector related to the neighborhood environment of the corresponding vacant house.

The artificial intelligence model is generated as a result of learning the feature vector and may be constructed to generate a degree of fitness for each use of an empty house as an output corresponding to an input feature vector.

The collecting of the vacant house status data includes acquiring an aerial photograph of the specific area as the vacant house status data, and the step of analyzing by class determines a first spatial distribution of the corresponding vacant houses on the aerial photograph. Acquiring each of the grades; obtaining a second spatial distribution of the neighborhood environment on the aerial photograph; and performing pattern analysis on the spatial distribution for each class by applying the first spatial distribution for each class to the second spatial distribution.

The recommending of the use may include determining vacant house occurrence factors for each grade according to the pattern analysis; and determining the use of the corresponding vacant houses based on the corresponding vacant house and grade, and a learning model related to the vacant house occurrence factors.

The method may further include calculating an estimated estimate required for utilization of each of the corresponding vacant houses according to the use of the corresponding vacant houses.

Among the embodiments, the vacant house maintenance plan establishment device includes a data collection unit that collects vacant house status data in a specific area; a grade classifier for classifying the corresponding vacant houses on the basis of the vacant house status data; an environment analyzer that analyzes the neighborhood environment around the corresponding empty houses for each grade; and a use recommendation unit for recommending uses for the corresponding vacant houses by applying an artificial intelligence model to the analysis result of the neighborhood environment.

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 method and apparatus for establishing a vacant house maintenance plan according to an embodiment of the present invention may support establishment of a vacant house maintenance plan that maximizes the effect of utilizing the vacant house based on the analysis of the neighborhood environment around the vacant house.

The method and device for establishing a vacant house maintenance plan according to an embodiment of the present invention maintains the establishment of a vacant house maintenance plan according to the Act on Special Cases Concerning the Maintenance of Vacant Houses and Small Houses and related guidelines, and achieves the maximum effect through additional field surveys and introduction of new concepts. can make it possible

1 is a diagram illustrating an empty house maintenance plan establishment system according to the present invention.
FIG. 2 is a diagram explaining the system configuration of the vacant house maintenance plan establishing device of FIG. 1 .
FIG. 3 is a view explaining the functional configuration of the vacant house maintenance plan establishing device of FIG. 1 .
4 is a flowchart illustrating a method for establishing an empty house maintenance plan 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.

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 estimation method according to the present invention can be applied by modifying and changing the definition of 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 an empty house maintenance plan establishment system according to the present invention.

Referring to FIG. 1 , the vacant house maintenance plan establishment system 100 may include a user terminal 110 , an empty house maintenance plan establishment device 130 and a database 150 .

The user terminal 110 may correspond to a computing device capable of requesting a recommendation for a vacant house for establishing a vacant house maintenance plan and confirming the result. That is, the user may specify an area for establishing an empty house maintenance plan or input related information through the user terminal 110, and may receive and confirm use recommendation information for the empty house as analysis information. The user terminal 110 may be implemented as a smart phone, laptop computer, or computer that is connected to and operable with the vacant house maintenance plan establishment device 130, and 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 linking with the vacant house maintenance plan establishment device 130 . Through this, the user terminal 110 can use various services provided by the vacant house maintenance plan establishment device 130 .

The vacant house maintenance plan establishment device 130 may be implemented as a server corresponding to a computer or program capable of performing a method of recommending a use of an empty house in order to support establishment of a maintenance plan for managing an empty house. The vacant house maintenance plan establishment 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 maintenance plan establishment device 130 . For example, the database 150 may store vacant house status data and vacant house class classification data, but is not necessarily limited thereto, and the vacant house maintenance plan establishing device 130 may include recommendations for vacant house use to plan vacant house maintenance. In the process of supporting the establishment process, information collected or processed in various forms can be stored.

FIG. 2 is a diagram explaining the system configuration of the vacant house maintenance plan establishing device of FIG. 1 .

Referring to FIG. 2 , an empty house maintenance plan establishment 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 operation of the vacant house maintenance plan establishment device 130, manage the memory 230 read or written throughout the process, and Synchronization time between volatile memory and non-volatile memory in 230 can be scheduled. The processor 210 may control the overall operation of the vacant house maintenance plan establishment device 130, and is electrically connected to the memory 230, the user input/output unit 250, and the network input/output unit 270 to prevent data flow between them. You can control it. The processor 210 may be implemented as a central processing unit (CPU) of the vacant house maintenance plan establishment 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 a secondary storage device used to store all data necessary for the vacant house maintenance plan establishment device 130. and 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 maintenance plan establishment 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 view explaining the functional configuration of the vacant house maintenance plan establishing device of FIG. 1 .

Referring to FIG. 3 , the vacant house maintenance plan establishment device 130 includes a data collection unit 310, a rating classification unit 330, an environment analysis unit 350, a use recommendation unit 370, and an estimated estimate calculation unit 390. And it may include a control unit (not shown in FIG. 3).

The data collection unit 310 may collect state data of vacant houses in a specific area. A specific area may correspond to a target area for establishing a vacant house maintenance plan, and may be specified as an administrative district or a geopolitical location as needed. The data collection unit 310 may operate in conjunction with an external system to collect vacant house status data, and for this, may perform preprocessing operations such as authentication and authority setting necessary for preliminary interworking with the external system. The vacant house status data may correspond to information on vacant houses existing in a specific region, and the collected information may be converted into a file having a specific type of data structure and stored in the database 150 .

In one embodiment, the data collection unit 310 may obtain an aerial photograph of a specific area as vacant house data. That is, the vacant house status data may include various types of data such as text, image, and video, and image data may be collected as vacant house status data for multilateral analysis of vacant houses. At this time, the aerial photograph may be acquired through drone images, aerial images, satellite images, etc., and preprocessing operations of matching and correcting the photographs divided into predetermined sizes may be performed in order to utilize the corresponding aerial photographs.

In one embodiment, the data collection unit 310 determines candidate vacant houses that satisfy a predetermined estimation standard based on electricity usage, water supply usage, and city gas usage by household in a specific region, and matches the candidate vacant houses on a serial cadastral map. Result The building address is obtained by matching the road name address building DB to the candidate vacant house that has succeeded in matching, and the result of matching the candidate vacant houses with the estimation criteria, serial cadastral map and road name address building DB, and the building address are collected as vacant house status data. can

More specifically, the data collection unit 310 may estimate vacant houses existing in a specific area based on energy usage and effectively collect vacant house status data based on this estimation. First, the data collection unit 310 may determine candidate vacant houses that satisfy a preset estimation standard based on electricity usage, tap water usage, and city gas usage by household. The data collection unit 310 may operate in connection with the national building energy integrated management system in order to acquire information on electricity consumption by household. In addition, the data collection unit 310 may collect information on water usage and usage fee statistics provided by public data portals, waterworks headquarters, or each administrative agency, and information on city gas usage provided by the Korea City Gas Association. can be collected.

Next, the data collection unit 310 may match the candidate vacant houses derived from the energy usage information on the serial cadastral map to generate current status information on the candidate vacant houses, and based on this, a vacant house maintenance plan may be established. However, matching of the lot numbers of candidate vacant houses and serial cadastral maps may not all occur, and accordingly, candidate vacant houses that fail to match may be excluded from the subsequent analysis process.

Next, the data collection unit 310 may obtain a building address by matching the road name address building DB to the candidate vacant house. That is, if the building is an apartment, multiple candidate vacant houses may exist in the same lot number, and since only one building address is required to check the vacant house and analyze the current status, the data collection unit 310 uses the road name address building DB to determine the vacant house. It is possible to efficiently collect data on the current status of vacant houses by acquiring the building address of a building that is presumed to exist.

The grade classification unit 330 may classify the corresponding vacant houses based on the vacant house status data. For example, the classifier 330 may define vacant house grades from 1 to 4, and assign vacant house grades to vacant houses existing in a specific area. Here, the vacant house rating may be assigned based on the current state of the vacant house, and may be calculated based on the period of being left unoccupied, the age of the building, the size and use of the building, the real estate price, and the like. In addition, as the vacant house rating goes from 1 to 4, the condition of the vacant house may worsen. For example, as the neglect period is longer, the older the building, the smaller the size of the building, and the lower the real estate price, the vacant house rating may be closer to 4.

In an embodiment, the classifying unit 330 may classify empty house classes using a pre-built class classification model. Here, the classification model may correspond to a learning model generated as a result of learning learning data for a pair of vacant house state information and grade information. That is, the classifying unit 330 may generate input data for class classification from the collected vacant house status data and provide the corresponding input data as an input to a class classification model to obtain a class of empty houses corresponding to the input data.

Meanwhile, the classifier 330 uses KNN (K-Nearest Neighbor), Decision Tree, Random Forest, Support Vector Machine (SVM), etc. in the learning process for classifying. can utilize

The environment analyzer 350 may analyze the neighborhood environment around the corresponding vacant houses by grade. The environment analyzer 350 may analyze the living environment around the vacant house to determine a suitable use in the process of utilizing the vacant house. The environment analyzer 350 may collect main information necessary for determining the use of the vacant house among living environments around the vacant house, digitize each main information, and generate a feature vector that compressively expresses the neighborhood environment.

In one embodiment, the environment analysis unit 350 designates the neighborhood living area of each of the corresponding vacant houses, and 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 state of the housing market is defined as independent dimensions, and a feature vector related to the neighborhood environment of the vacant house can be generated by determining a reference scale corresponding to the grade of the vacant house and applying the reference scale to the dimension values of the dimensions.

More specifically, the environment analyzer 350 may designate a neighborhood living area that can reflect the surrounding living environment for each empty house existing in a specific area. That is, the neighborhood living area may be designated as an area within a predetermined radius around the vacant house, and may be determined according to an effective distance that may or may affect the utilization of the vacant house. For example, the environment analyzer 350 may designate an area within a radius of 400 m based on the location of an empty house as a neighborhood living area.

Next, the environment analysis 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 status of the housing market as independent dimensions. That is, the corresponding data can be largely classified into population factors, economic factors, and residential factors, and can be selected from factors that can affect the living environment of vacant houses within the neighborhood living area. The environment analyzer 350 may define each factor as each dimension constituting the feature vector and use it to generate the feature vector.

More specifically, the vacant house distribution may include information about the number and density of vacant houses, the distance between vacant houses, and the like within 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.

Next, the environment analyzer 350 may determine a numerical value within a predetermined range through analysis of related information for each dimension, and then apply a reference magnification corresponding to the grade of the corresponding empty house to the dimension values of the dimensions to determine the neighborhood environment of the corresponding empty house. You can create a feature vector for . That is, the feature vector is generated for each vacant house and compressively expresses the characteristics of the neighborhood environment around the vacant house. Thereafter, the feature vector for each vacant house may be used to determine the use of the vacant house.

In one embodiment, the environment analyzer 350 obtains a first spatial distribution of the corresponding vacant houses for each grade on the aerial photograph, obtains a second spatial distribution on the neighborhood environment on the aerial photograph, and obtains the second spatial distribution. Pattern analysis on the spatial distribution for each class may be performed by applying the first spatial distribution to each class. That is, the environment analyzer 350 may visually analyze the neighborhood environment around the empty house.

To this end, the environment analyzer 350 may obtain a first spatial distribution of vacant houses by using an aerial photograph of a specific area. Here, the first spatial distribution may correspond to a spatial distribution of vacant houses and may be generated according to vacant house grades. For example, the environment analyzer 350 may display empty houses having the same grade on an aerial photograph to generate a first spatial distribution as a distribution by grade.

Next, the environment analyzer 350 may obtain a second spatial distribution of the neighborhood environment on the aerial photograph. The second spatial distribution can be generated by independently visualizing the distribution of vacant houses, the distribution of old/defective houses, the distribution of parcels, the distribution of roads, the distribution of demographic/social characteristics, and the distribution of housing conditions forming the neighborhood environment on the electronic map.

Next, the environment analyzer 350 may perform pattern analysis on the spatial distribution by class by applying the first spatial distribution by class to the same second spatial distribution. For example, the environment analyzer 350 may perform pattern analysis after integrating the second spatial distribution with the first spatial distribution of the first-class empty house. In this case, pattern analysis may be performed through an image analysis method for spatial distribution, and may be expressed as an image vector corresponding to spatial distribution. In addition, the environment analyzer 350 may generate image vectors for each class according to the first spatial distribution generated for each class, and may be used as a feature vector for a neighborhood environment of an empty house. In this case, a neighborhood living area may be designated for each empty house, and a feature vector may be generated based on a spatial distribution within each neighborhood living area.

The use recommendation unit 370 may recommend uses for the corresponding vacant houses by applying an artificial intelligence model to the analysis result of the neighborhood environment. The use recommendation unit 370 may build an artificial intelligence model that recommends the use of an empty house by learning the feature vector generated as a result of the analysis of the neighborhood environment, and may recommend the use of the vacant house by using this. Here, the artificial intelligence model is created as a result of learning the feature vector and can be constructed to generate the degree of fitness for each use of the vacant house as an output corresponding to the input feature vector. For example, the artificial intelligence model can generate probability information suitable for the vacant house for each set purpose, such as residential facilities, sports facilities, educational facilities, and public facilities, as an output, in consideration of the neighborhood environment around the vacant house. The use recommendation unit 370 may recommend a use with the highest suitability as a use for the corresponding vacant house based on the output of the artificial intelligence model, and may optionally provide a list of uses in order of suitability.

In one embodiment, the use recommendation unit 370 may determine the vacant house occurrence factors for each grade according to the pattern analysis, and determine the use of the corresponding vacant houses based on the vacant house, the grade, and the learning model for the vacant house occurrence factors. have. The use recommendation unit 370 may determine at least one vacant house generating factor through pattern analysis on spatial distribution based on the spatial distribution of vacant houses.

Here, the vacant house occurrence factors may include the residential population, floating population, sales by industry, officially announced land price by lot, actual transaction price of real estate, adjacent roads, opening/closing of shops, and aging of buildings. At this time, the residential population can be derived based on communication bills, and the floating population can be derived based on communication device signals. Sales by industry can be derived based on card payments, and actual real estate transaction prices can be derived based on reported real estate transaction details. Adjacent roads can be derived through the road network established for road name addressing, and shopping mall opening and closing can be derived through the current status of opening and closing of small shopping malls by type of business. It can be derived based on age, etc.

Meanwhile, the use recommendation unit 370 may determine the vacant house occurrence factor through cluster analysis on the spatial distribution of vacant houses. The use recommendation unit 370 may calculate a Moran's index (Global Moran's I) for cluster analysis, and may analyze whether vacant houses in a specific region are distributed according to a certain rule through the I' statistic. As another example, the use recommendation unit 370 may perform a hot-spot analysis on the spatial distribution of vacant houses. The use recommendation unit 370 may calculate a local cluster statistic (Getis-ord Gi) from a spatial distribution for hot-spot analysis.

The estimated estimate calculation unit 390 may calculate an estimated estimate required for utilization of each of the corresponding vacant houses according to the use of the vacant houses. When a use is recommended for each vacant house by the use recommendation unit 370, the estimated estimate calculation unit 390 may calculate an estimated estimate for utilizing the vacant house according to the corresponding purpose. For example, when a specific vacant house is recommended for use as a sports facility, the estimated estimator 390 may calculate an estimated estimate necessary for using the vacant house as a sports facility. At this time, the estimated estimate may be calculated based on information on related nearby sports facilities, and the estimated estimate may be finally calculated by reflecting the grade information of the vacant house and the information on the neighborhood living area.

The controller (not shown in FIG. 3) controls the overall operation of the vacant house maintenance plan establishment device 130, and the data collection unit 310, classifier 330, environment analysis unit 350, use recommendation unit ( 370) and the estimate estimator 390 may manage a control flow or data flow.

4 is a flowchart illustrating a method for establishing an empty house maintenance plan according to the present invention.

Referring to FIG. 4 , the vacant house maintenance plan establishment device 130 may collect current state data of vacant houses in a specific area through the data collection unit 310 (step S410). The vacant house maintenance plan establishing device 130 may classify the corresponding vacant houses based on the vacant house status data through the classifier 330 (step S430). The vacant house maintenance plan establishment device 130 may analyze the neighborhood environment around the corresponding vacant houses by grade through the environment analyzer 350 (step S450). The vacant house maintenance plan establishment device 130 may recommend uses for the corresponding vacant houses by applying an artificial intelligence model to the analysis result of the neighborhood environment through the use recommendation unit 370 (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 maintenance plan establishment device 130 may analyze the neighborhood environment around the vacant house by grade through the environment analyzer 350 . That is, the environment analyzer 350 may collect main information necessary for determining the purpose of the vacant house among living environments around the vacant house, digitize each main information, and generate a feature vector that compressively expresses the neighborhood environment.

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

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can 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 maintenance plan establishment system
110: user terminal 130: vacant house maintenance plan establishment device
150: database
210: processor 230: memory
250: user input/output unit 270: network input/output unit
310: data collection unit 330: rating classification unit
350: environment analysis unit 370: use recommendation unit
390: estimated quotation calculation unit
510: empty house 520: neighborhood living area
530: feature vector

Claims (8)

Collecting vacant house status data in a specific area;
classifying a grade of corresponding vacant houses based on the vacant house status data;
analyzing neighborhood environments around the corresponding vacant houses for each grade; and
An vacant house maintenance plan establishment method comprising the step of recommending a use for the corresponding vacant house by applying an artificial intelligence model to the analysis result of the neighborhood environment.
According to claim 1,
The step of collecting the vacant house status data is
determining candidate vacant houses that satisfy a predetermined estimation standard based on electricity usage, tap water usage, and city gas usage by household in the specific region;
acquiring a building address by matching a road name address building DB to a candidate vacant house that succeeds in matching as a result of matching the candidate vacant houses on the serial cadastral map; and
and collecting the candidate vacant houses, the estimation criteria, the matching result between the serial cadastral map and the road name address building DB, and the building address as the vacant house status data.
According to claim 2,
The step of analyzing by grade is
designating a neighborhood living area of each of the corresponding 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; and
Establishing a vacant house maintenance plan comprising the step of determining a reference magnification corresponding to the grade of the vacant house and applying the corresponding reference magnification to the dimension values of the dimensions to generate a feature vector related to the neighborhood environment of the vacant house Way.
The method of claim 3, wherein the artificial intelligence model
An vacant house maintenance plan establishment method, characterized in that it is generated as a result of learning the feature vector and constructed to generate the fitness for each use of the vacant house as an output corresponding to the input feature vector.
According to claim 1,
The step of collecting the vacant house status data
Acquiring an aerial photograph of the specific area as the vacant house status data,
The step of analyzing by grade is
obtaining a first spatial distribution of the corresponding vacant houses for each grade on the aerial photograph;
obtaining a second spatial distribution of the neighborhood environment on the aerial photograph;
and performing a pattern analysis on the spatial distribution for each class by applying the first spatial distribution for each class to the second spatial distribution.
According to claim 5,
The step of recommending the use is
determining vacant house occurrence factors for each grade according to the pattern analysis; and
Determining the use of the corresponding vacant house based on the corresponding vacant house and grade, and the learning model for the vacant house occurrence factors.
According to claim 1,
The vacant house maintenance plan establishment method further comprising the step of calculating an estimated estimate required for the utilization of each of the vacant houses according to the use of the vacant houses.
a data collection unit that collects vacant house status data in a specific area;
a grade classifier for classifying the corresponding vacant houses on the basis of the vacant house status data;
an environment analyzer that analyzes the neighborhood environment around the corresponding empty houses for each grade; and
An vacant house maintenance plan establishing device including a use recommendation unit for recommending uses for the corresponding vacant houses by applying an artificial intelligence model to the analysis result of the neighborhood environment.

Images