KR102507230B1 - Apparatus and method for providing land development information service based on artificial intelligence - Google Patents

Abstract

Disclosed are an apparatus and method for providing land development information service based on artificial intelligence, and a method for providing land development information service based on artificial intelligence, according to an embodiment of the present application, may comprise the steps of: collecting, for target land, first reference information linked to land price changes and second reference information linked to land utilization; selecting comparison land to perform a detailed analysis on the target land by inputting the first reference information and the second reference information to a pre-trained artificial intelligence-based comparison model; and calculating an evaluation score for the target land on the basis of the first reference information and the second reference information that are collected for the comparison land. Therefore, comparison land that can be meaningfully compared with land to be analyzed in various aspects such as land price changes, land utilization, and the like is derived through an artificial intelligence-based comparison model, and the land to be analyzed can be indirectly evaluated through analysis of the derived comparison land.

Description

Apparatus and method for providing land development information service based on artificial intelligence

The present application relates to an artificial intelligence-based land development information service providing device and method.

For the use and development of land, the state, local governments, corporations, and individuals establish and implement various plans, and comply with various laws and regulations for efficient operation of this development and prevention of indiscriminate development of land. Land use planning information includes metropolitan planning under the 『National Land Planning and Utilization Act』, urban master plan, urban management plan, district unit planning, landscape planning under the 『Landscape Act』, permission for conversion of farmland under the 『Agricultural Land Act』, Mountain district conversion permission under the 『Mountain District Management Act』, environmental impact assessment under the 『Environmental Impact Assessment Act』, traffic impact assessment, building standards under the 『Building Act』, various ordinances of local governments, minimum housing standards under the 『Housing Act』, 『Fire Protection Act』 It includes various plans or standards, such as firefighting power standards by

On the other hand, in most real estate development methods, the real estate developer purchases the developed real estate, builds it through a construction company, raises a loan through a bank to raise development funds, and proceeds with sales through a sales company to procure procurement from the bank. Go through the process of repaying a development fund.

However, since the developer buys and sells the land, access to purchase and information is difficult, and the developer has to make his own judgment on the appropriate development use for the purchased real estate, so that efficient and economical real estate development I had difficulty doing it.

The background technology of the present application is disclosed in Korean Patent Registration No. 10-2059296.

This application is intended to solve the problems of the prior art described above, and derives a comparison land that can be compared and evaluated meaningfully with the land to be analyzed in various aspects such as land price change and land utilization through an artificial intelligence-based comparison model, and the derived Its purpose is to provide an artificial intelligence-based land development information service providing device and method that indirectly evaluates the land to be analyzed through analysis of comparative land.

However, the technical problem to be achieved by the embodiments of the present application is not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the artificial intelligence-based land development information service providing method according to an embodiment of the present application is a first standard information associated with land price change and a second standard associated with land utilization. Collecting information on the target land, selecting a comparative land to perform detailed analysis on the target land by inputting the first reference information and the second reference information into a pre-learned artificial intelligence-based comparison model, and Calculating an evaluation score for the target land based on the first reference information and the second reference information collected on the comparison land may be included.

In addition, the first reference information may include time-series data representing a time-series change in the official land price of the target land or the comparison land for a predetermined monitoring period.

In addition, the step of selecting the comparison land may determine the comparison land by calculating a similarity between the time series data of the candidate land included in the pre-constructed database and the time series data of the target land based on the comparison model. there is.

In addition, the similarity may include an overall similarity corresponding to all sections of the monitoring period and a partial similarity corresponding to a predetermined section of the monitoring period.

In the step of selecting the comparison land, the comparison land may be determined by applying a predetermined weight to each of the total similarity and the partial similarity.

Also, the predetermined weight may be assigned considering the size of the monitoring period.

In addition, the artificial intelligence-based land development information service providing method according to an embodiment of the present application may include receiving a user input associated with a development purpose for the target land.

In addition, the selecting of the comparative land may include selecting a candidate land group to which the second reference information corresponding to the development purpose is allocated based on the user input from among candidate lands included in a pre-constructed database, and selecting the candidate land group. Within a land group, the comparison land can be selected.

In addition, based on the time when the first reference information and the second reference information are collected, the target land is land that meets the first category category among land categories including a plurality of types, and the comparison land is the land Among the land categories, it may be land that meets the second category category other than the first category category.

In addition, the artificial intelligence-based land development information service providing method according to an embodiment of the present application includes a comparison interface displaying a comparison result of at least one of first reference information and second reference information of the target land and the comparison land, and The step of outputting the evaluation score may be included.

On the other hand, the artificial intelligence-based land development information service providing apparatus according to an embodiment of the present application is a collection unit that collects first standard information associated with land price change and second standard information associated with land utilization for target land. , A selection unit for selecting a comparison land to perform a detailed analysis on the target land by inputting the first reference information and the second reference information into a pre-learned artificial intelligence-based comparison model, and the collected information on the comparison land It may include an evaluation unit that calculates an evaluation score for the target land based on the first reference information and the second reference information.

In addition, the selection unit may determine the comparison land by calculating a similarity between the time series data of the candidate land included in the pre-constructed database and the time series data of the target land based on the comparison model.

In addition, the selection unit may determine the comparison land by applying a predetermined weight to each of the total similarity and the partial similarity.

In addition, the artificial intelligence-based land development information service providing apparatus according to an embodiment of the present application may include an input unit that receives a user input associated with the development use of the target land.

In addition, the selection unit selects a candidate land group to which the second reference information corresponding to the development purpose is allocated based on the user input from among candidate lands included in a pre-constructed database, and within the candidate land group A comparison plot can be selected.

In addition, the artificial intelligence-based land development information service providing apparatus according to an embodiment of the present application includes a comparison interface displaying a comparison result of at least one of first reference information and second reference information of the target land and the comparison land, and An output unit for outputting the evaluation score may be included.

The above-described problem solving means are merely exemplary and should not be construed as intended to limit the present disclosure. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description of the invention.

According to the above-mentioned task solving method of the present application, a comparison land capable of meaningful comparative evaluation with the land to be analyzed in various aspects such as land price change and land utilization is derived through an artificial intelligence-based comparison model, and It is possible to provide an artificial intelligence-based land development information service providing device and method that indirectly evaluates the land to be analyzed through analysis.

However, the effects obtainable herein are not limited to the effects described above, and other effects may exist.

1 is a schematic configuration diagram of a land development information providing system including an AI-based land development information service providing device according to an embodiment of the present disclosure.
2 is a diagram showing a target land and comparative land selected for the corresponding target land by way of example.
3 is a diagram showing a network structure of a Long Short Term Memory (LSTM) based comparison model by way of example.
4 is a diagram showing a comparison interface displaying a comparison result between a target land and a comparison land as an example.
5 is a schematic configuration diagram of an artificial intelligence-based land development information service providing apparatus according to an embodiment of the present disclosure.
6 is a flowchart illustrating an operation of a method for providing an artificial intelligence-based land development information service according to an embodiment of the present disclosure.

Hereinafter, embodiments of the present application will be described in detail so that those skilled in the art can easily practice with reference to the accompanying drawings. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. And in order to clearly describe the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the present specification, when a part is said to be “connected” to another part, it is not only “directly connected”, but also “electrically connected” or “indirectly connected” with another element in between. "Including cases where

Throughout the present specification, when a member is referred to as being “on,” “above,” “on top of,” “below,” “below,” or “below” another member, this means that a member is located in relation to another member. This includes not only the case of contact but also the case of another member between the two members.

Throughout the present specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated.

The present application relates to an artificial intelligence-based land development information service providing device and method.

1 is a schematic configuration diagram of a land development information providing system including an AI-based land development information service providing device according to an embodiment of the present disclosure.

Referring to FIG. 1 , the land development information providing system 10 according to an embodiment of the present application includes an artificial intelligence-based land development information service providing device 100 (hereinafter referred to as 'service providing device') according to an embodiment of the present application. (100)'), a user terminal 200 and a database 300 may be included.

The service providing device 100 , the user terminal 200 , and the database 300 may communicate with each other through the network 20 . The network 20 refers to a connection structure capable of exchanging information between nodes such as terminals and servers, and examples of such a network 20 include a 3rd Generation Partnership Project (3GPP) network and a Long LTE (LTE) network. Term Evolution (Term Evolution) network, 5G network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network) Network), wifi network, Bluetooth network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. are included, but are not limited thereto.

The user terminal 200 is, for example, a smart phone (Smartphone), a smart pad (SmartPad), a tablet PC, etc. and PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS ( Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal It may be any kind of wireless communication device, such as

In the description of the embodiment of the present application, the database 300 may refer to a pre-built storage server or the like to classify and store various types of data for each of a plurality of lands. For example, the database 300 stores identification information, address information, area information, topographical information, slope information, adjacent road information, land use (region category) information, price (market price) information, etc. for each of a plurality of lands. can

In this regard, the service providing apparatus 100 disclosed herein provides a database (300) of comparative land, which can be subjected to meaningful comparative analysis with the target land selected based on the target land selection input authorized through the user terminal 200 or the like. ), and it may be a device that indirectly calculates and provides the evaluation result (evaluation score) for the target land that the user wants to analyze by utilizing the analysis result of the comparative land.

Hereinafter, specific functions and operations of the service providing apparatus 100 will be described with reference to FIGS. 2 to 4 .

2 is a diagram showing a target land and comparative land selected for the corresponding target land by way of example.

Referring to FIG. 2 , the service providing device 100 may obtain information on target land. For example, the service providing apparatus 100 provides a first map interface (A) displayed to display a plurality of lands located in a predetermined area to the user terminal 200, and on the first map interface (A) A user selection input for selecting a predetermined land as the target land 1 may be received from the user terminal 200 to receive a user input for the target land. For reference, the target land may be selected in units of parcels, and according to the embodiment of the present invention, a selection input for target land covering a plurality of parcels may also be made.

In addition, referring to FIG. 2, the service providing apparatus 100 is expressed to display a comparison land 2 derived corresponding to the target land 1 and a plurality of lands around the comparison land, as will be described in detail below. It is operable to provide a second map interface (B).

As described above, once the target land (1) is selected, the service providing device 100 collects first reference information associated with land price change for the target land (1) and second reference information associated with land utilization. can do.

On the other hand, in the description of the embodiment of the present application, the first reference information is time-series data representing time-series changes in the price (eg, official land price, etc.) of the target land (1) or comparison land (2) for a predetermined monitoring period. can include In addition, the second standard information may include information on the use (category) of the corresponding land.

According to one embodiment of the present application, the service providing device 100 inputs identification information (eg, unique identifier, address, etc.) of the target land 1 that the user wants to analyze into the pre-built database 300. And, in response to the identification information, the first reference information and the second reference information stored on the database 300 may be collected in a manner of inquiring from the database 300 information on the target land (1).

In addition, the service providing device 100 inputs the first reference information and the second reference information on the target land 1 to a pre-learned artificial intelligence-based comparison model to perform a detailed analysis on the target land 1. Land (2) can be selected.

Specifically, the service providing device 100 provides time-series data reflecting price changes of the publicly announced land price for candidate land included in the pre-built database 300 and time-series data reflecting price changes of the publicly announced land price of the target land 1 selected by the user. Comparative land (2) can be determined among candidate lands by calculating the similarity between time series data based on an artificial intelligence-based comparison model. In other words, the artificial intelligence-based comparison model loaded in the service providing device 100 may be a model for calculating a similarity between sequence data representing a time-series change in the price (officially announced land price) of each land.

3 is a diagram showing a network structure of a Long Short Term Memory (LSTM) based comparison model by way of example.

Referring to FIG. 3 , the artificial intelligence-based similarity analysis model loaded in the service providing apparatus 100 disclosed herein may be a model based on a Long-Short Term Memory (LSTM) algorithm.

This LSTM (Long-Short Term Memory) algorithm is one of the artificial recursive neural network (RNN) architectures used in the field of deep learning, and unlike feed-forward neural networks, there is a feedback connection. Therefore, according to the LSTM algorithm, learning and processing can be performed not only for a single data point but also for an entire data sequence.

These LSTM algorithms are suitable for classifying, processing, and predicting predictions based on time series data, and LSTM has the advantage of solving the vanishing gradient problem that can occur in training through traditional RNNs.

However, the type of artificial intelligence model for time series analysis (similarity analysis) of the service providing device 100 disclosed herein is not limited to the above-described LSTM algorithm, and according to the implementation of the present application, in addition to the LSTM algorithm, attention algorithm , Transformer algorithm, BERT (Bidirectional Encoder Representations from Transformers) algorithm, etc. Through analysis of time series data that reflects changes in price data from the past to the present, future price data flow can be predicted or time series flow between price data can be correlated. It can include artificial intelligence algorithms based on the analysis of multiple time series data that can be compared. That is, in the present application, algorithm models based on various time-series data analysis previously known or developed in the future may be applied.

Meanwhile, according to an embodiment of the present disclosure, the service providing device 100 may receive a user input associated with a development use of the target land. In addition, the land category assigned (granted) at that time for the target land (1) and the land category corresponding to the development use entered by the user may be of the same type or different types depending on the user's land development purpose, analysis purpose, etc. .

More specifically, the land category allocated (granted) at that time for the target land (1) is referred to as 'standard land category', and the land category corresponding to the development use for the target land included in the user input is referred to as 'planned development' If referred to as 'landing', according to the embodiment of the present application, the standard land and the land to be developed may be determined as the same land or different lands, and the above-described comparative land (2 ) the selection process can be carried out in different ways.

More specifically, the similarity derived by the AI-based comparison model may include total similarity corresponding to an entire period of a predetermined monitoring period and partial similarity corresponding to a predetermined period of the monitoring period.

In this regard, the artificial intelligence-based comparison model of the service providing device 100 determines the comparison land 2 by applying a predetermined weight to each of the above-described total similarity and partial similarity, but the standard land and the development scheduled land are In the case of the same type, the weight for the overall similarity is added to the partial similarity so that the more similar the change in the overall price flow within the monitoring period of the target land (1) and the specific land is, the higher the probability that the corresponding land will be selected as the comparison land (2). It can be set to exceed the weight for

On the other hand, if the standard land and the land to be developed are of different types, the comparative land (2) has a history of a change in land from the standard land to the land to be developed among a plurality of lands for which land information is stored in the database 300 in the past. Existing lands can be selected first, and considering this, the weight for partial similarity, which is the similarity for the local monitoring section including the time when each land category change occurred, is the weight for the partial similarity for the remaining section and It can be set to exceed the weight for total similarity.

According to an embodiment of the present application, the monitoring interval for determining the degree of similarity described above may be set as a time interval from a current point in time to a predetermined reference point in time, but is not limited thereto, and is input through the user terminal 200 or the like. According to the selected section selection input, it may be set as a time interval from the first reference time point, which is a past time point to the current time point, to the second reference point time point, which is a past time point compared to the current time point.

In addition, according to an embodiment of the present application, the service providing apparatus 100 is a candidate land group to which second reference information corresponding to a development purpose is allocated based on a user input among candidate lands included in the pre-constructed database 300. (For example, a group containing multiple lands where the land category assigned (assigned) at that time is a land category corresponding to the development use included in the user input) and compared within the selected candidate land group. Land (2) can be selected.

In addition, weights for total similarity and partial similarity may be assigned considering the size of the monitoring period. For example, as the monitoring period is set to a shorter period, a weight for overall similarity may be adjusted upward.

That is, according to an embodiment of the present application, when the standard land and the land to be developed are different, the target land 1 is land including a plurality of types based on the time point when the first standard information and the second standard information are collected It is land that meets the first category category among land categories, and the comparative land (2) belongs to the second category category other than the first category category corresponding to the land category at the time of the target land (1) among land categories containing a plurality of types. Suitable land can be selected. Accordingly, the service providing device 100 is the same method for the development utility when the user changes the designation (use) of the target land (1) through real estate development for the target land (1). Based on the analysis results for comparative land (2) with a history of occurrence in

In addition, the service providing device 100 may calculate an evaluation score for the target land 1 based on the first reference information and the second reference information collected on the selected comparison land 2 . For example, the service providing device 100 calculates the price increase level of the analysis section including the current time point to the past analysis time point set in advance based on the first reference information of the comparison land 2, and the price increase level The higher the evaluation score, the higher the evaluation score can be calculated.

As another example, the service providing device 100 is based on the first reference information and the second reference information collected for the selected comparison land (2), the land granted (allocated) to the comparison land (2) from the current point in time The price increase level of the analysis section including the time point when the category is changed can be calculated, and the higher the price increase level, the higher the evaluation score.

4 is a diagram showing a comparison interface displaying a comparison result between a target land and a comparison land as an example.

Referring to FIG. 4 , the service providing apparatus 100 provides a comparison interface displaying a comparison result of at least one of first standard information and second standard information of a target land 1 and a comparison land 2 and an evaluation score to the user. It can be output through the terminal 200.

5 is a schematic configuration diagram of an artificial intelligence-based land development information service providing apparatus according to an embodiment of the present disclosure.

Referring to FIG. 5 , the service providing device 100 may include an input unit 110, a collection unit 120, a selection unit 130, an evaluation unit 140, and an output unit 150.

The input unit 110 may receive a user input on the target land. Specifically, the input unit 110 receives a user selection input for selecting at least one land from among a plurality of lands reflected in the map interface displayed through the user terminal 200 from the user terminal 200, and the above-described user input may be to obtain As another example, the input unit 110 may obtain the above-described user input by receiving a user selection input including land identification information or land address information authorized through the user terminal 200 from the user terminal 200 . there is.

In addition, the input unit 110 may additionally receive a user input associated with the development use of the target land.

The collection unit 120 may collect first reference information associated with a change in land price of the target land and second reference information associated with land utilization.

According to one embodiment of the present application, the collection unit 120 searches (searches) for the first reference information and the second reference information on the target land in the previously constructed database 300, thereby obtaining the first reference information and the second reference information on the target land. The second reference information may be collected.

The selection unit 130 may input the first reference information and the second reference information on the collected target land to a previously learned artificial intelligence-based comparison model to select a comparison land to perform a detailed analysis on the target land.

Specifically, the selection unit 130 artificially calculates the similarity between the time series data representing the time-series change of the publicly announced land price for the candidate land previously stored in the pre-constructed database 300 and the time-series data representing the time-series change of the official land price for the target land. Comparison land can be determined by calculation based on an intelligence-based comparison model.

In addition, the selection unit 130 selects a candidate land group to which second reference information corresponding to the development purpose included in the user input is assigned among candidate lands included in the pre-constructed database 300, and within the candidate land group. You can select a comparison plot from

The evaluation unit 140 may calculate an evaluation score for the target land that the user wants to analyze based on the first reference information and the second reference information collected on the selected comparison land.

The output unit 150 may output a comparison interface displaying a comparison result of at least one of first standard information and second standard information of the target land and the comparison land and the calculated evaluation score.

For example, the output unit 150 may output a screen displaying a comparison interface and an evaluation score through the user terminal 200 .

Hereinafter, based on the details described above, the operation flow of the present application will be briefly reviewed.

6 is a flowchart illustrating an operation of a method for providing an artificial intelligence-based land development information service according to an embodiment of the present disclosure.

The artificial intelligence-based land development information service providing method shown in FIG. 6 may be performed by the service providing apparatus 100 described above. Therefore, even if omitted below, the description of the service providing device 100 can be equally applied to the description of the artificial intelligence-based land development information service providing method.

Referring to FIG. 6 , in step S11, the input unit 110 may receive a user input for the target land.

For example, in step S11, the input unit 110 receives a user selection input for selecting at least one piece of land from among a plurality of pieces of land reflected in the map interface displayed through the user terminal 200 from the user terminal 200. It may be obtaining the aforementioned user input.

As another example, in step S11, the input unit 110 obtains the above-described user input by receiving a user selection input including land identification information or land address information authorized through the user terminal 200 from the user terminal 200. it may be

In addition, according to one embodiment of the present application, in step S11, the input unit 110 may receive a user input associated with the development use of the target land.

Next, in step S12, the collection unit 120 may collect first reference information associated with land price change and second reference information associated with land utilization for the target land determined in step S11.

According to one embodiment of the present application, in step S12, the collection unit 120 searches (searches) for the first reference information and the second reference information on the target land in the previously built database 300, thereby providing first information on the target land. It may be to collect reference information and second reference information.

Next, in step S13, the selection unit 130 inputs the first reference information and the second reference information on the collected target land to the pre-learned artificial intelligence-based comparison model to perform a detailed analysis on the target land. can be selected.

Specifically, according to an embodiment of the present application, in step S13, the selection unit 130 performs time-series data representing time-series changes in the official land price of the candidate land pre-stored in the pre-constructed database 300 and the time-series of the official land price of the target land. Comparative land can be determined by calculating the similarity between time series data representing positive changes based on an artificial intelligence-based comparison model.

In addition, according to one embodiment of the present application, in step S13, the selection unit 130 selects a second area corresponding to the development use included in the user input obtained through step S11 among candidate lands included in the pre-constructed database 300. A candidate land group to which reference information is assigned can be selected, and comparison land can be selected within the candidate land group.

Next, in step S14, the evaluation unit 140 calculates an evaluation score for the target land that the user wants to analyze based on the first reference information and the second reference information collected for the comparison land selected in step S13. can

Next, in step S15, the output unit 150 may output a comparison interface displaying a comparison result of at least one of first reference information and second reference information of the target land and comparison land and the calculated evaluation score.

In the foregoing description, steps S11 to S15 may be further divided into additional steps or combined into fewer steps, depending on the implementation of the present application. Also, some steps may be omitted if necessary, and the order of steps may be changed.

An artificial intelligence-based land development information service providing method according to an embodiment of the present application may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be those specially designed and configured for the present invention or those known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to act as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described artificial intelligence-based land development information service providing method may be implemented in the form of a computer program or application stored in a recording medium and executed by a computer.

The above description of the present application is for illustrative purposes, and those skilled in the art will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts thereof should be construed as being included in the scope of the present application.

10: Land development information provision system
100: AI-based land development information service providing device
110: input unit
120: collection unit
130: selection unit
140: evaluation unit
150: output unit
200: user terminal
300: database
20: network

Claims (16)

In the artificial intelligence-based land development information service providing method,
providing a first map interface displayed to display a plurality of lands located in a predetermined area to a user terminal, and receiving a user selection input for selecting a target land on the first map interface in units of lots;
First reference information linked to land price change and second reference information linked to land utilization, including time-series data representing time-series changes in the official land price of the target land or comparison land for a predetermined monitoring period, are sent to the target land. Collecting about;
Receiving a user input associated with a development use for the target land;
selecting a comparison land to perform a detailed analysis on the target land by inputting the first reference information and the second reference information to a pre-learned artificial intelligence-based comparison model;
Calculating an evaluation score for the target land based on the first reference information and the second reference information collected for the comparison land; and
A comparison interface displaying the evaluation score and a comparison result of at least one of first reference information and second reference information of the target land and the comparison land, the first map interface displaying the target land, and the comparison land surroundings Outputting a screen including a second map interface displayed to display a plurality of lands through the user terminal;
including,
The step of selecting the comparison land,
Determine the comparison land by calculating the similarity between the time series data of the candidate land included in the pre-built database and the time series data of the target land based on the comparison model, and The comparison land is determined by applying a predetermined weight to each of the similarity and the partial similarity corresponding to a predetermined section during the monitoring period,
The step of selecting the comparison land,
Based on the second reference information and the user input for the target land, determining whether a reference land category assigned to the target land and a development scheduled land category corresponding to the development purpose match;
setting a weight for the total similarity greater than a weight for the partial similarity if the standard land and the land to be developed coincide with each other; and
If the standard land and the development scheduled land are inconsistent, among a plurality of candidate lands whose land information is stored in the database, preferentially select a land having a history of a change in land from the standard land to the development scheduled land in the past , setting a weight for the partial similarity corresponding to a section including a time point when a designation change occurs to be greater than a weight for the partial similarity for the remaining sections and a weight for the total similarity;
including,
The step of calculating the evaluation score,
The higher the level of price increase in the analysis section from the current time point to the past analysis time point set in advance or the analysis section from the current time point to the time point when the land designation of the comparative land is changed, the higher the evaluation score. , how to provide the service. delete delete delete According to claim 1,
Wherein the predetermined weight is allocated in consideration of the size of the monitoring period. According to claim 1,
The step of selecting the comparison land,
Selecting a candidate land group to which the second reference information corresponding to the development use is allocated based on the user input from the candidate land, and selecting the comparison land within the candidate land group. According to claim 1,
Based on the time when the first standard information and the second standard information were collected, the target land is land that meets the first category category among land categories including a plurality of types, and the comparison land is among the land categories Characterized in that the land meets the second category category other than the first category category, the service providing method. delete In the artificial intelligence-based land development information service providing device,
an input unit for providing a first map interface displayed to display a plurality of lands located in a predetermined area to a user terminal and receiving a user selection input for selecting a target land on the first map interface in units of parcels;
The first standard information linked to land price change and the second standard information linked to land utilization, including time series data representing the time-series change in the official land price of the target land or comparative land for a predetermined monitoring period, are transmitted to the target land. collection unit to collect;
an input unit for receiving a user input associated with the development use of the target land;
a selection unit selecting a comparison land to perform a detailed analysis on the target land by inputting the first reference information and the second reference information to a pre-learned artificial intelligence-based comparison model;
an evaluation unit calculating an evaluation score for the target land based on the first reference information and the second reference information collected on the comparison land; and
A comparison interface displaying the evaluation score and a comparison result of at least one of first reference information and second reference information of the target land and the comparison land, the first map interface displaying the target land, and the comparison land surroundings An output unit outputting a screen including a second map interface displayed to display a plurality of lands through the user terminal;
including,
The selection department,
Determine the comparison land by calculating the similarity between the time series data of the candidate land included in the pre-built database and the time series data of the target land based on the comparison model, and The comparison land is determined by applying a predetermined weight to each of the similarity and the partial similarity corresponding to a predetermined section during the monitoring period,
The selection department,
Based on the second reference information and the user input for the target land, it is determined whether the standard land category, which is the land category assigned to the target land, and the development scheduled category, which is the land category corresponding to the development use, match,
If the standard category and the development target category match, a weight for the total similarity is set to be greater than a weight for the partial similarity;
If the standard land and the development scheduled land are inconsistent, among a plurality of candidate lands whose land information is stored in the database, preferentially select a land having a history of a change in land from the standard land to the development scheduled land in the past , Set the weight for the partial similarity corresponding to the section including the time when the designation change occurred to be larger than the weight for the partial similarity for the remaining sections and the weight for the total similarity,
The evaluation unit,
The higher the level of price increase in the analysis section from the current time point to the past analysis time point set in advance or the analysis section from the current time point to the time point when the land designation of the comparative land is changed, the higher the evaluation score. Service Provisioning Device. delete delete delete According to claim 9,
The predetermined weight is assigned in consideration of the size of the monitoring period. According to claim 9,
The selection department,
Selecting a candidate land group to which the second reference information corresponding to the development use is allocated based on the user input from the candidate land, and selecting the comparison land within the candidate land group. delete A computer-readable recording medium recording a program for executing the method according to any one of claims 1, 5 to 7 on a computer.

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