KR20230129790A - Real estate transaction system using artificial intelligence - Google Patents

Abstract

The present invention relates to the sale and purchase of various real estate properties such as land, apartments, villas, buildings, apartments, officetels, single-family homes, and factories, and provides a more reasonable and realistic valuation and appropriate sales price for the properties based on big data and artificial intelligence. The present invention relates to a real estate price prediction and competitive bidding transaction system using artificial intelligence that allows real estate transactions to proceed at a very realistic and transparent price range by setting a price and sharing it with real estate sellers and buyers. The real estate price prediction and competitive bidding transaction system using artificial intelligence includes a real estate information collection department, big data department, artificial intelligence server, real estate competitive bidding service server, real estate buyer terminal, real estate seller terminal, and remote listing/bidding device. It is composed by:

Description

Real estate price prediction and competitive bidding transaction system using artificial intelligence {Real estate transaction system using artificial intelligence}

The present invention relates to the sale and purchase of various real estate properties such as land, apartments, villas, buildings, apartments, officetels, single-family homes, and factories, and provides a more reasonable and realistic valuation and appropriate sales price for the properties based on big data and artificial intelligence. It is about a real estate price prediction and competitive bidding transaction system using artificial intelligence that allows real estate transactions to proceed at a very realistic and transparent price range by setting a price and sharing it with real estate sellers and buyers.

The most common ways to obtain information about real estate prices are through the traditional method of visiting real estate agents or subscribing to publications on real estate listings, and more recently through real estate apps such as Dabang, Jigbang, and Naver Real Estate.

Through a real estate app, the seller contacts the real estate agency and requests registration of the property on the real estate app, or the seller himself registers the property on the real estate app, and the buyer checks the information of the property using the real estate app and then contacts the brokerage or seller to make the transaction. This is done in the following way.

And with the advent of the era of the 4th Industrial Revolution, attempts to provide improved services by introducing big data and artificial intelligence technology into real estate transactions are taking place in various forms.

Accordingly, the present applicant proposed the present invention as a more realistic and transparent real estate sales technology using big data and artificial intelligence technology.

Korean Patent No. 10-2322594 (announced on November 5, 2021), “Artificial intelligence real-time collection of real estate big data information from government and private organizations and bidding system and operation method for analyzing and presenting appropriate transaction prices” Korean Patent No. 10-2137230 (announced on July 23, 2020), “Method for providing real estate auction information service using artificial intelligence-based automatic rights analysis”

An embodiment of the present invention is to purchase and sell various real estate such as land, apartments, villas, buildings, apartments, officetels, single-family homes, factories, etc., and the valuation and appropriate sale price for the relevant real estate are based on big data and artificial intelligence. We provide a real estate price prediction and competitive bidding transaction system using artificial intelligence that allows real estate transactions to proceed at a very realistic and transparent price range, as it is set at a reasonable and realistic price and can be shared by real estate sellers and buyers. .

In addition, the embodiment of the present invention is a competitive bidding and auction method that combines the expected price of the real estate seller and the expected price of many buyers based on the appropriate sales price calculated based on big data and artificial intelligence, so that a more realistic price range is achieved. It provides a real estate price prediction and competitive bidding transaction system using artificial intelligence that allows real estate transactions to proceed as sales prices are formed.

In addition, the embodiment of the present invention provides certain benefits to users who go through the process of face recognition by visiting an offline remote listing/bidding device when registering real estate listings and bidding prices for real estate purchases. , provides a real estate price prediction and competitive bidding transaction system using artificial intelligence that can encourage more transparent and reliable real estate transactions in the current situation where real estate fraud often occurs.

The real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention provides real estate information from web pages, public data of government and public institutions, web portal data, social network data, and other information uploaded on the web. A real estate information collection unit that collects information about real estate through web crawling, a big data unit that converts and stores the information for each real estate into big data based on the real estate information collected by the real estate information collection unit, and a big data unit that stores information for each real estate in the big data unit. An artificial intelligence server performs analysis and deep learning on big data to evaluate the value of each property according to pre-set standards, calculates the appropriate sale price according to the assessed value of each property, and real estate owners through a membership registration process. The right to sell real estate is granted only to users whose identity is confirmed (hereinafter referred to as “real estate seller”), the appropriate sale price of real estate is provided to the real estate sellers and registered real estate buyers, and the bidding price for real estate for sale is provided. is received from the terminal of the real estate buyers (hereinafter referred to as the “real estate buyer terminal”), and the real estate buyer who submitted the highest bid for each property is determined as the preliminary successful bidder, and then the real estate seller of the property and the preliminary successful bidder are selected to conduct the actual transaction of the property. It may include a real estate competitive bidding service server to connect to.

In addition, the real estate competitive bidding service server provides a function for the real estate seller to select in advance the transaction period between the preliminary successful bidder and the real estate seller, and a function for the real estate seller to cancel the transaction during the transaction between the preliminary successful bidder and the real estate seller. Additionally, a function may be included to prohibit real estate transactions for a preset period of time for real estate sellers who have canceled transactions three or more times in a row.

In addition, the real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention is a multiple remote listing/bidding system that is distributed and installed in various regions while being connected to the real estate competitive bidding service server and a communication network. It further includes a device, wherein the remote property registration/bidding device is installed on the upper surface of the roof panel of the work booth and a work booth equipped with an automatic opening and closing door for entry and exit at the front, and the real estate competitive bidding service server and data and various A communication module for transmitting and receiving signals, installed in front of the work booth, and connected to the real estate buyer terminal or real estate seller terminal (hereinafter referred to as “real estate seller terminal”) from the real estate competitive bidding service server for entry into the work booth. A reader with the function of scanning the disposable QR code issued to the work booth is installed inside the work booth, and the communication module relays the real estate seller's listing registration and real estate buyer's bid registration functions on the real estate competitive bidding service server. A remote property registration/bidding execution module that performs based on functions and switches from the usual dormant mode to an operating mode when an operation control signal is received from the outside, and a real estate buyer or real estate agent installed inside the work booth and entering the work booth. A facial recognition device that performs the seller's facial recognition function is installed inside the work booth, and the disposable QR code scanned through the reader is transmitted to the real estate competitive bidding service server through the communication module, and then transmitted. The validity of the disposable QR code is received from the real estate competitive bidding service server through the communication module, and when a valid signal for the disposable QR code is received from the real estate competitive bidding service server, the automatic opening and closing door is preset. It is opened for a set time and at the same time, the facial recognition device is operated until the face of the real estate buyer or real estate seller entering the work booth is recognized, and after the facial recognition of the facial recognition device, the remote property registration/bidding execution module is switched to the operation mode. It includes a control module that transmits the operation control signal for switching to the remote listing/bidding execution module, and the real estate competitive bidding service server charges a service fee to a real estate seller who registers the listing through the remote listing/bidding execution module. and includes a function to grant priority in selecting the preliminary successful bidder to real estate buyers who register bids through the remote listing/bidding execution module when there are two or more real estate buyers who have submitted the same bid price for the same real estate listing. It may be.

According to an embodiment of the present invention, in the sale and purchase of various real estate such as land, apartments, villas, buildings, apartments, officetels, single-family homes, and factories, the valuation and appropriate sale price for the relevant real estate are based on big data and artificial intelligence. As the price is set at a more reasonable and realistic price and can be shared by both real estate sellers and buyers, real estate transactions can proceed at a very realistic and transparent price range.

In addition, as competitive bidding and auction sales are carried out in which the expected price of real estate sellers and the expected price of many buyers are combined based on the appropriate selling price calculated based on big data and artificial intelligence, the selling price is formed at a more realistic price range, increasing the real estate market. Distances can proceed.

In addition, real estate fraud often occurs as certain benefits are provided to users that involve face recognition by visiting an offline remote listing/bidding device when registering real estate listings and bidding prices for real estate purchases. In the current situation, it is possible to encourage more transparent and reliable real estate transactions.

1 is a block diagram illustrating a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention.
Figure 2 is a block diagram illustrating a remote listing/bidding device in a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention.
Figure 3 is a diagram illustrating the external appearance of a remote property registration/bidding device in a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention.
Figure 4 is a flowchart illustrating the operation of the control unit of the remote listing/bidding device in a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention.

The following detailed description of the present invention is an embodiment in which the present invention can be practiced and refers to the accompanying drawings, which are shown as examples of the corresponding embodiments. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the invention are different from one another but are not necessarily mutually exclusive. For example, specific shapes, structures and characteristics described herein may be implemented in one embodiment without departing from the spirit and scope of the invention. Additionally, it should be understood that the location or arrangement of individual components within each described embodiment may be changed without departing from the spirit and scope of the invention.

Accordingly, the detailed description set forth below is not intended to be taken in a limiting sense, and the scope of the invention is limited only by the appended claims together with all equivalents to what those claims would assert if properly described. Similar reference numbers in the drawings refer to identical or similar functions across various aspects.

The terms used in the present invention are general terms that are currently widely used as much as possible while considering the function in the present invention, but this may vary depending on the intention or precedent of a person working in the art, the emergence of new technology, etc. In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the relevant invention. Therefore, the terms used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than simply the name of the term.

When it is said that a certain part of the whole of an invention “includes” a certain component, this means that, unless specifically stated to the contrary, it does not exclude other components but may further include other components. In addition, “…” stated in the specification. wealth", "… Terms such as “module” refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or as a combination of hardware and software.

With reference to FIGS. 1 to 4 , a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention will be described.

Figure 1 is a block diagram illustrating a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention, and Figure 2 is a real estate price prediction and competitive bidding system using artificial intelligence according to an embodiment of the present invention. It is a block diagram illustrating a remote listing/bidding device in a competitive bidding transaction system, and Figure 3 is a block diagram illustrating a remote listing/bidding device in a real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention. It is a drawing illustrating the external appearance, and FIG. 4 is a flowchart illustrating the operation of the control unit of the remote listing/bidding device in the real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention.

As shown, the real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention includes a real estate information collection unit 100, a big data unit 200, an artificial intelligence server 300, and a real estate competition. It is comprised of a bidding service server 400, a real estate buyer terminal 500, and a real estate seller terminal 700. In addition, the real estate price prediction and competitive bidding transaction system using artificial intelligence according to an embodiment of the present invention may be configured to further include a remote listing/bidding device 600.

The real estate information collection unit 100 collects information about real estate through web crawling from web pages, public data of governments and public institutions, web portal data, social network data, and other information uploaded to the web. Real estate information collected here may include maps of each real estate, real estate type classification, address, register copy, street view, related news, transaction information, etc.

The big data unit 200 converts the information for each real estate into big data and stores it based on the real estate information collected by the real estate information collection unit 100.

The artificial intelligence server 300 performs analysis and deep learning on the big data for each property in the big data unit 200 to evaluate the value of each property according to preset standards and determines an appropriate sale price according to the assessed value of each property. Calculate .

The real estate competitive bidding service server 400 grants the right to sell real estate only to users who are confirmed to be actual real estate owners through the membership registration process (hereinafter referred to as “real estate sellers”), and sets the appropriate sale price of the real estate to the real estate seller and the real estate seller. Provided to registered real estate buyers. In addition, the real estate competitive bidding service server 400 receives bids for real estate for sale from real estate buyers' terminals (500, hereinafter referred to as “real estate buyer terminals”), and selects the real estate buyer who submitted the highest bid for each real estate as a preliminary successful bidder. After the decision is made, it includes the function of connecting the real estate seller of the relevant real estate and the preliminary successful bidder for the actual transaction of the relevant real estate.

In addition, the real estate competitive bidding service server 400 provides a function for the real estate seller to select in advance a transaction period between the preliminary successful bidder and the real estate seller, and allows the real estate seller to cancel the transaction during the transaction between the preliminary successful bidder and the real estate seller. It may further include a function that prohibits real estate transactions for a preset period of time for real estate sellers who have canceled transactions three or more times in a row.

The remote property registration/bidding device 600 consists of a plurality of devices installed in various locations, each connected to the real estate competitive bidding service server 400 through a communication network. The detailed configuration of each of these remote listing/bidding devices 600 is as follows.

The remote listing/bidding device 600 includes a work booth 610, a communication module 620, a reader 630, a remote listing/bidding execution module 640, a facial recognition device 650, and a control module 660. It consists of:

The work booth 610 is equipped with an automatic opening/closing door 611 for entry and exit at the front, and this work booth 610 is a part that forms the body of the remote listing/bidding device 600.

The communication module 620 is installed on the upper surface of the roof panel 612 of the work booth 610 and performs the function of transmitting and receiving data and various signals with the real estate competitive bidding service server 400.

The reader 630 is installed in front of the work booth 610, and this reader 630 receives information from the real estate buyer terminal 500 or the real estate seller from the real estate competitive bidding service server 400 for entry into the work booth 610. It performs the function of scanning the disposable QR code issued to the terminal (700, hereinafter referred to as “real estate seller terminal”).

The remote listing/bidding performance module 640 is installed inside the work booth 610 and performs the functions of registering the real estate seller's listing and real estate buyer's bid price on the real estate competitive bidding service server 400 through the communication module 620. It is performed based on the relay function of . In addition, the remote listing/bidding execution module 640 switches from the usual sleep mode to the operating mode when an operation control signal is received from the outside.

The facial recognition device 640 is installed inside the work booth 610 and performs a facial recognition function of a real estate buyer or real estate seller entering the work booth 610.

The control module 660 is installed inside the work booth 610, and transmits the disposable QR code scanned through the reader 630 to the real estate competitive bidding service server 400 through the communication module 620. , the validity of the transmitted disposable QR code is received from the real estate competitive bidding service server 400 through the communication module 620. And when a valid signal for the disposable QR code is received from the real estate competitive bidding service server 400, the control module 660 opens the automatic opening and closing door 611 of the work booth 610 for a preset time while simultaneously using the facial recognition device. (650) is operated until facial recognition of the real estate buyer or real estate seller entering the work booth (610) is achieved.

In addition, the control module 660 sends the operation control signal to the remote property registration/bidding performance module 640 to switch the remote property registration/bidding performance module 640 to the operation mode after facial recognition by the facial recognition device 650. send.

The main operating process of this control module 660 will be described with reference to FIG. 4.

The control module 660 receives the disposable QR code scanned from the reader 630 in step S110.

In step S120, the control module 660 transmits the QR code received through step S110 to the communication module 620, and the QR code transmitted to the communication module 620 is used for real estate competitive bidding through a communication network. It is transmitted to the service server 400.

In step S130, the control module 660 receives a signal regarding the validity of the QR code transmitted from the real estate competitive bidding service server 400 in step S120.

In step S140, when the validity recognition signal of the QR code according to step S120 is received through step S130, the control module 660 opens the automatically opening and closing door 611 of the work booth 610, The facial recognition device 650 in the work booth 610 is activated.

In step S150, the control module 660 determines whether the face of the real estate buyer or real estate seller has been recognized through the facial recognition device 650.

In step S160, when it is confirmed that facial recognition has occurred through step S150, the control module 660 operates the remote listing/bidding execution module ( An operation control signal is transmitted to 640).

In addition, the real estate competitive bidding service server 400 reduces the service fee for real estate sellers who register for sale through the remote listing/bidding performance module 640 and registers the bid price through the remote listing/bidding execution module 640. It includes a function that gives priority in selecting the preliminary successful bidder when there are two or more real estate buyers who submitted the same bid price for the same real estate sale.

In addition, real estate competitive bidding service server 400 can register real estate agents as official members in the form of branches or agencies located throughout the country, thereby establishing a high-credit transaction system.

In addition, the bid price registered in the real estate competitive bidding service server 400 can only be confirmed by the seller who registered the real estate for sale, and the selected preliminary successful bidder may be blinded and not disclosed to other buyers.

According to the above-described structure, in the sale and purchase of various real estate such as land, apartments, villas, buildings, apartments, officetels, single-family homes, and factories, the valuation and appropriate sales price for the relevant real estate are based on big data and artificial intelligence. As the price is set at a reasonable and realistic price and can be shared by real estate sellers and buyers, real estate transactions can be carried out at a very realistic and transparent price range.

In addition, as mentioned above, as competitive bidding and auction sales are carried out in which the expected price of real estate sellers and the expected price of many buyers are combined based on the appropriate sale price calculated based on big data and artificial intelligence, the sale price is in a more realistic price range. As it is formed, real estate transactions can proceed.

In addition, real estate fraud often occurs as certain benefits are provided to users that involve face recognition by visiting an offline remote listing/bidding device when registering real estate listings and bidding prices for real estate purchases. In the current situation, it is possible to encourage more transparent and reliable real estate transactions. And since this is implemented with connectivity on the premise of the action of the paragraphs just above, it goes without saying that its efficiency can be further improved.

As described above, in this description, specific details such as specific components and limited embodiments and drawings have been described, but this is only provided to facilitate a more general understanding of the present invention, and the present invention is not limited to the above embodiments. No, those of ordinary skill in the field to which the present invention pertains can make various modifications and variations from this description.

Therefore, the idea of the present invention should not be limited to the described embodiments, and the claims described below as well as all modifications that are equivalent or equivalent to the claims will be said to fall within the scope of the idea of the present invention.

100: Real estate information collection department 200: Big data department
300: Artificial intelligence server 400: Real estate competitive bidding service server
500: Real estate buyer terminal 600: Remote listing/bidding device
610: Work booth 611: Automatic opening and closing door
612: Roof panel 620: Communication module
630: Reader 640: Remote listing/bidding execution module
650: Face recognition device 660: Control module
700: Real estate seller terminal

Claims (2)

Real estate information collection unit (100) that collects information about real estate through web crawling from web pages, public data of government and public institutions, web portal data, social network data, and other information uploaded on the web:
A big data unit (200) that converts and stores the information for each real estate into big data based on the real estate information collected by the real estate information collection unit (100):
An artificial intelligence server that performs analysis and deep learning on the big data for each real estate in the big data unit 200 to evaluate the value of each real estate according to preset standards and calculates an appropriate sales price according to the assessed value of each real estate. (300):
The right to sell real estate is granted only to users who are confirmed to be actual real estate owners through the membership registration process (hereinafter referred to as “real estate sellers”), and the appropriate sale price of real estate is provided to the real estate sellers and registered real estate buyers. , Bids for real estate for sale are received from the terminals of the real estate buyers (500, hereinafter referred to as “real estate buyer terminals”), and the real estate buyer who submitted the highest bid for each real estate is determined as the preliminary successful bidder, and then the real estate seller of the real estate in question. and a real estate competitive bidding service server 400 that connects the preliminary successful bidder to the actual transaction of the real estate. A real estate price prediction and competitive bidding transaction system using artificial intelligence. According to claim 1,
The real estate competitive bidding service server 400 has a function for the real estate seller to select in advance a transaction period between the preliminary successful bidder and the real estate seller, and a function for the real estate seller to cancel the transaction during the transaction between the preliminary successful bidder and the real estate seller. It includes a function to ban real estate transactions for a preset period of time for real estate sellers who have canceled transactions three or more times in a row,
It further includes a plurality of remote listing/bidding devices (600) installed in various regions while being connected to the real estate competitive bidding service server (400) through a communication network,
The remote listing/bidding device 600 includes a work booth 610 equipped at the front with an automatic opening/closing door 611 for entry and exit;
A communication module 620 installed on the upper surface of the roof panel 612 of the work booth 610 and transmitting and receiving data and various signals with the real estate competitive bidding service server 400;
It is installed in front of the work booth 610, and the real estate buyer terminal 500 or the real estate seller's terminal 700 (hereinafter referred to as “real estate”) is sent from the real estate competitive bidding service server 400 to enter the work booth 610. A reader (630) with the function of scanning a disposable QR code issued to the “seller terminal”);
It is installed inside the work booth 610, and performs the functions of registering real estate sellers' items for sale and real estate buyers' bid prices on the real estate competitive bidding service server 400 based on the relay function of the communication module 620. , a remote listing/bidding execution module 640 that switches from the usual dormant mode to the operating mode when an operation control signal is received from the outside;
A facial recognition device 650 installed inside the work booth 610 to perform a facial recognition function of a real estate buyer or real estate seller entering the work booth 610;
It is installed inside the work booth 610, and the disposable QR code scanned through the reader 630 is transmitted to the real estate competitive bidding service server 400 through the communication module 620, and then transmitted. The validity of the disposable QR code is received from the real estate competitive bidding service server 400 through the communication module 620, and a validity signal for the disposable QR code is received from the real estate competitive bidding service server 400. When received, the automatic opening/closing door 611 is opened for a preset time and the facial recognition device 650 is operated until the face of the real estate buyer or real estate seller entering the work booth 610 is recognized, and A control module that transmits the operation control signal to the remote property registration/bidding performance module 640 to switch the remote property registration/bidding performance module 640 to the operation mode after facial recognition by the facial recognition device 650 ( 660),
The real estate competitive bidding service server 400 reduces the service fee to real estate sellers who register for sale through the remote listing/bidding execution module 640, and sets a bid price through the remote listing/bidding execution module 640. Real estate price prediction and competitive bidding transactions using artificial intelligence, which includes a function that gives registered real estate buyers priority in selecting the preliminary successful bidder when there are two or more real estate buyers offering the same bid price for the same real estate listing. system.