KR20210021662A - Searching service system and method for the residential environment using public big data - Google Patents

Abstract

The present invention relates to a residential environment search system and method using public big data. The residential environment search system comprises: one or more public data servers providing public big data on educational environment, crime prevention, and natural environment; a search service server collecting and processing the data on the educational environment, crime prevention, and natural environment from the public data servers and providing real estate information matching housing information of a user selected condition along with real estate information classified by region and housing type; and a user terminal accessing the search service server to select a region of interest and housing type, and setting a weight for the housing information to check a search result.

Description

Searching service system and method for the residential environment using public big data}

The present invention relates to a residential environment search service system and method using public big data, and more particularly, to a residential environment search service system and method including information on harmful environments for teenagers.

Recently, with the development of IT technology and information processing technology, the real estate information provision system also provides a variety of information to meet various user needs.

Real estate transactions are not only the specifications of the apartment itself, such as the desired number of floors, floors, corridors/stairs, apartment brands, etc., but is the surrounding environment close to school, subway/bus stations, and whether the interior of the apartment is well landscaped? Considering that, you will find a house. In particular, it is difficult to exchange or change a house once it is selected, so be very careful when choosing a house, and real estate buyers want more information.

1 is a screen showing a search condition provided by a known real estate information providing site.

Referring to FIG. 1, the search conditions of the conventional real estate information providing site are largely divided into sales price, area, waterproofing, maintenance fee, number of bathrooms, direction, and heating method according to the type of residence (right of the screen), and search on the map (left of the screen) There are search conditions for prices, demographics, traffic, schools, and CCTV.

FIG. 2 is an exemplary table of statistical information provided by K-Atlas, a region-based data fusion analysis service provided by the real estate information providing site of FIG. 1.

As shown in Fig. 2, financial statistics, census statistics, and real estate statistics are provided, and the annual income, occupational group, loan level, education level, marital status ratio, household composition, self/rental ratio, construction year of residents in the region It provides various information such as ratio, housing type, gross floor area ratio, apartment overview, actual transaction price trend, and jeonse price level.

However, in addition to the above information, real estate buyers have a need for a service that makes it easier to obtain information on a more diverse living environment.

3 is a screen showing a search condition provided by another conventional real estate information providing site.

Unlike the real estate information providing site described with reference to FIGS. 1 and 2 above, the information providing site of FIG. 3 provides a real estate information service based on photos and videos.

The feeling of actually walking around the whole house in VR and taking pictures of nearby amenities is gaining great response.

It is characterized by continuing to conceive of services that are helpful to those who want to save a room, such as marketing such as a strong sanction and zero vacancy in the case of posting false facts as well as photographs.

However, the specifications for finding a house only provide filters for transaction type (purchase/jeonse/month), acreage, number of households, resident evaluation, and transportation, so it is difficult to meet the needs of various living environment information of the above-mentioned real estate buyers. There is a shortage.

As a patent application related to the provision of real estate information in the related art, there is Publication Patent No. 10-2019-0093378 (Apartment location analysis service provision method, published on August 9, 2019, hereinafter abbreviated as Prior Document 1).

In Prior Document 1, direct external factors related to location factors affecting apartment prices, indirect external factors including economic indicators and policy regulation strength, direct internal factors including apartment size and number of floors, and direct external factors After setting the criteria for assigning a sub-coefficient value for, the index is calculated by inputting apartment information, and then the estimated apartment sale amount is calculated according to the presented equation.

As such, Prior Literature 1 sets the criteria for calculating apartment prices, but it is difficult to completely satisfy the needs of users who have apartment purchases in mind because information on the living environment, especially information on the harmful environment for teenagers, is not considered.

As another example of providing real estate information, Registration Patent No. 10-1942540 (a system for providing secure transaction service for real estate using big data-based rating classification and market price prediction, registered on January 21, 2019, hereinafter abbreviated as Prior Document 2) have.

In Prior Document 2, the tenant who registered the rental property information, searched the surrounding property information including the market price of the rental property with the same or similar conditions as the registered rental property, and when the registered rental property was inquired, the number of inquiries and the property were inquired. It describes a method of outputting statistically processed data excluding unique identification information of, and checking the progress of a sale contract in real time by outputting the information of the tenant who reserved the registered rental property.

The characteristic of this Prior Document 2 is that it provides a secure transaction service through real-time information provision between the terminal and the big data analysis information providing server, but the provision of living environment information is not provided, and in particular, information on the harmful environment for teenagers is not provided. In this regard, it cannot satisfy user needs.

In addition, Registration Patent No. 10-1852766 (property search method and device, registered on April 23, 2018, abbreviated as Prior Document 3), Registration Patent No. 10-1654610 (Commercial area-linked real estate property information service system using geographic information, 2016 Registration on August 31, 2010, abbreviated as Prior Document 4) describes the description of the provision of real estate information.

However, Prior Literature 3 provides information on real estate sales in consideration of information from other commercial areas within the geographic range, while Prior Literature 3 provides information on property for sale using hashtags, and prior Literature 4 provides information on the harmful environment for youth. It cannot satisfy user needs.

Therefore, in the current market, there is a demand for technology development for a method of providing residential environment information, particularly, residential environment information including harmful environment information for adolescents so that adolescents can live safely.

The technical problem to be solved by the present invention is to provide a system and method capable of providing residential environment information that meets the needs of users considering real estate sales.

In particular, a specific technical problem to be solved by the present invention is to provide a system and method capable of providing information on the harmful environment of surrounding youth in a specific real estate in real time.

In addition, another technical problem to be solved by the present invention is to provide a system and method capable of providing information related to crime prevention and natural environment in a residential environment.

A residential environment information providing system according to an aspect of the present invention for solving the above problems includes at least one public data server providing public big data on an educational environment, crime prevention, and natural environment, and from the public data server. A search service server that collects and processes data on the educational environment, crime prevention and natural environment, and provides real estate information that meets the conditions selected by the user along with real estate information classified by region and residential type, and the search It includes a user terminal that accesses the service server, selects a region of interest and a type of residence, sets a weight for the residential information, and checks a search result.

In addition, a method for providing living environment information according to another aspect of the present invention includes: a) performing a selection input for a region of interest to be searched in a user terminal connected to a search service server, and b) public data in the search service server. Counting the number of data corresponding to the residential environment conditions belonging to the region of interest from the public data of the server, c) filtering the data corresponding to the residential environment conditions according to the weight input through the user terminal, It may include displaying the results on a map.

The present invention provides residential environment information to provide the needs of users who consider real estate sales, in particular, to users with adolescent children, to provide information on the harmful environment of adolescents, thereby satisfying various needs of users.

In addition, the present invention provides housing information including a harmful environment for teenagers, but by processing and providing public data of the central or local government, there is an effect of increasing the reliability of information.

In addition, the present invention has the effect of setting the weight of the residential environment information according to the needs of the user, and putting a weight on each information so that the user can easily find the real estate of the desired residential environment.

1 is an exemplary screen view of a conventional real estate information providing site.
2 is a table defining services provided by the real estate information providing site of FIG. 1.
3 is an exemplary screen view of another conventional real estate information providing site.
4 is a block diagram of a residential environment search service system using public big data according to a preferred embodiment of the present invention.
5 is an exemplary diagram of a search condition for a residential environment.
6 is an embodiment of a search screen provided by the search service server 10.
7 is a flowchart of a method for searching a residential environment using public data according to a preferred embodiment of the present invention.
8 is a graph showing the weight range of Table 2.
9 is a map schematically showing the number of distinct PC rooms in Seoul.
10 is a map schematically showing the number of distinct academies in Seoul.

Hereinafter, a residential environment search service system and method using public big data according to the present invention will be described in detail with reference to the accompanying drawings.

The embodiments of the present invention are provided to more completely describe the present invention to those of ordinary skill in the art, and the embodiments described below may be modified in various other forms, and The scope is not limited to the following embodiments. Rather, these embodiments are provided to make the present invention more faithful and complete, and to completely convey the spirit of the present invention to those skilled in the art.

The terms used in this specification are used to describe specific embodiments, and are not intended to limit the present invention. As used herein, the singular form may include the plural form unless the context clearly indicates another case. Also, as used herein, "comprise" and/or "comprising" specify the presence of the mentioned shapes, numbers, steps, actions, members, elements and/or groups thereof. And does not exclude the presence or addition of one or more other shapes, numbers, actions, members, elements, and/or groups. As used herein, the term “and/or” includes any and all combinations of one or more of the corresponding listed items.

In the present specification, terms such as first and second are used to describe various members, regions and/or parts, but it is obvious that these members, parts, regions, layers and/or parts are not limited by these terms. . These terms do not imply any particular order, top or bottom, or superiority, and are only used to distinguish one member, region, or region from another member, region, or region. Accordingly, the first member, region, or region to be described below may refer to the second member, region, or region without departing from the teachings of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings schematically showing embodiments of the present invention. In the drawings, for example, depending on manufacturing techniques and/or tolerances, variations of the illustrated shape can be expected. Accordingly, the embodiments of the present invention should not be construed as being limited to the specific shape of the region shown in the present specification, but should include, for example, a change in shape caused by manufacturing.

4 is a block diagram of a residential environment search service system using public big data according to a preferred embodiment of the present invention.

Referring to FIG. 4, the present invention provides a residential environment search service system using public big data, at least one public data server 20 providing public big data on an educational environment, crime prevention, and natural environment, and the public data server. A search service server that collects and processes data on the educational environment, crime prevention and natural environment from (20), and provides real estate information that meets the conditions selected by the user along with real estate information classified by region and residential type. (10) and a user terminal 30 that accesses the search service server 10 to select a region of interest and a residential type, sets a weight for residential information, and checks a search result.

Hereinafter, the configuration and operation of the residential environment search service system using public big data of the present invention configured as described above will be described in more detail.

The public data server 20 may use a public data integration system operated by the Ministry of Public Administration and Security.

The public data portal (www.data.go.kr) was established in June 2011, and after the'Act on Provision and Use of Public Data' was enacted in October 2013, everyone can use it freely.

In addition, servers operated by local governments such as Seoul Open Data Plaza (data.seoul.go.kr) can be used.

In addition, you can use public data of a server that discloses the address of a specific offender, such as a very sex offender notification e (www.sexoffender.go.kr).

The public data server 20 is capable of data communication and is implemented as a computing device including a storage device, a memory device, and a central processing device.

The data provided by the public data server 20 is highly reliable, and since a periodic update period is set, the up-to-dateness of the data is ensured. In addition, public data provided by the public data server 20 has a feature that can be used for free.

The public data provided by the public data server 20 is usually provided in a sheet or chart format, and the data in this format is easy to extract and process specific data.

The search service server 10 is a computing device capable of data communication, including a storage device, a memory device, and a central processing unit, and includes a database capable of posting pages on the web and searching for various conditions.

The search service server 10 processes and stores the latest public data provided by the public data server 20 in a database. The configuration of a specific database at this time can be made in a wide variety, and in the present invention, regardless of the specific configuration of the database, public data is stored and searched according to conditions input through the user terminal 30, and the searched result is retrieved from the user terminal. Any configuration that can be provided in (30) can be used.

The user terminal 30 is capable of wired or wireless communication, and may be a computing means including an input means for inputting a user's selection, a central processing unit, a memory, a storage device, and a display for displaying a search result. Specifically, a smartphone, a smart pad, and a PC can be exemplified.

The search service server 10 provides search conditions for a residential environment.

5 is an exemplary diagram of a search condition for a residential environment.

Referring to FIG. 5, search conditions for a residential environment provided by the search service server 10 can be broadly classified into an educational environment 100, a crime prevention environment 200, and a natural environment 300.

The educational environment 100 may include, for example, a PC room free condition 110, a school price condition 120, and a sports facility condition 130. The crime prevention environment 200 may be a sex offender free condition 210, a CCTV condition 220, and the natural environment 300 is a green area condition 310, a noise condition 320, and an air pollution condition ( 330) and water pollution conditions 340 may be exemplified.

The above example is a classification of conditions for explaining a specific example of the present invention, and more various conditions may be added as necessary.

For example, it is possible to include the conditions for entertainment establishments and pubs in the educational environment 100.

In addition, the crime prevention environment 200 may include a condition near the police station or the police district, and the natural environment 300 may include a waterside condition.

As described above, the search service server 10 may set various conditions that meet the various needs of users, and all the search conditions for the residential environment at this time are limited to those that can be provided from the public data server 20.

Table 1 below shows an example of connection between the above-described residential environment search conditions and the public data server 20.

Main Category Subclass meaning Use of public data education
Environment PC room-free How many PC cafes are in my area? Seoul Youth Game Provider Information
(http://data.seoul.go.kr/dataList/datasetView.do?infId=OA-15206&srvType=S&serviceKind=1&currentPageNo=1) Academy-good Are there many academies in my area? Another variety? Seoul registration academy information
( https://www.data.go.kr/dataset/3044370/fileData.do ) Sports facilities-
good Are there many sports facilities in my area? Current status of sports facilities in Seoul
(https://www.data.go.kr/dataset/3045306/fileData.do ) crime
prevention Sex offender-free Are there any sex offenders living in my area? Sex offender statistics by region
( http://116.67.77.182/index.jsp )
Sex Offender Notification e
( https://www.sexoffender.go.kr/ ) CCTV-good Are there many CCTVs installed in my area? Seoul Metropolitan Facilities Management Corporation_cctv information
( https://www.data.go.kr/dataset/15013956/fileData.do ) nature
Environment Greenery-good What is the percentage of green space in my area? Major Parks in Seoul
( http://data.seoul.go.kr/dataList/datasetView.do?infId=OA-394&srvType=F&serviceKind=1&currentPageNo=1 ) Noise-free What is the level of noise in Seoul in my area? Statistics on noise and vibration complaints in Seoul
( http://data.seoul.go.kr/dataList/datasetView.do?infId=10810&srvType=S&serviceKind=2 ) Air pollution-free What is the level of air pollution in Seoul in my area? Seoul Air Pollution (by Category) Statistics
( http://data.seoul.go.kr/dataList/datasetView.do?infId=10637&srvType=S&serviceKind=2 ) Water pollution-free What level is the level of water pollution in Seoul in my area? Current status of water quality by hour in Seoul
http://data.seoul.go.kr/dataList/datasetView.do?infId=OA-13507&srvType=S&serviceKind=1&currentPageNo=1 )

As shown in Table 1 above, data meeting the search conditions for the residential environment can be obtained through the public data server 20 that provides public data, respectively, and through the input unit of the user terminal 30, the user You can search for real estate information that meets the conditions of the living environment from the data obtained by selecting the residential environment conditions.

The residential environment search conditions are displayed through the display of the user terminal 30 connected from the search service server 10, and the weights can be set according to conditions that the user considers important as the residential environment.

6 is an embodiment of a search screen provided by the search service server 10.

6 is an example displayed as a web page, and can be variously changed according to the environment of the user terminal 30 such as a mobile environment.

However, it must include the area setting menu 610, the housing type selection menu 620, the search result display area 630, and the residential environment condition setting menu 640, Make it possible to search for real estate types.

The area setting menu 610 is for selecting an area to search for a desired real estate, and may be selected as an area such as a dong or a district, and a search area may be set on a map displayed in the search result display area 630.

It is assumed that the map displayed in the search result display area 630 can be enlarged, reduced, and moved.

The housing type selection menu 620 allows you to select the type of real estate you want, such as an apartment, a villa, a one-room, or an officetel, and you can select various types such as a shopping mall or a detached house.

The residential environment condition setting menu 640 lists the above-described residential environment conditions, and allows the user to directly select a weight using the user terminal 30 for each of the sub-conditions.

PC room free condition (110) of educational environment (100), school price condition (120), sports facility condition (130), sex offender free condition (210) of crime prevention environment (200), CCTV condition It is possible to select a weight from 1 to 5 for each of 220 and the green space condition 310, the noise condition 320, the air pollution condition 330, and the water pollution condition 340 of the natural environment 300. .

Set the weight higher for the conditions that users consider important.

In the weights from 1 to 5, 3 is intermediate, 4 is important, 5 is very important, 2 is not important, and 1 is not very important.

A user, who is a parent with adolescent children, selects the weight of the PC room free condition 110 as 5, and may preferentially search for real estate without PC rooms in the selected area.

The PC room free condition (110), the school price condition (120), the sports facility condition (130), the sex offender free condition (210), the CCTV condition (220), the green space condition of the natural environment (300) ( 310), noise condition 320, air pollution condition 330, water pollution condition 340, the user uses the user terminal 30 in order of 5, 5, 2, 4, 4, 2, 2 If the weight of, 2, 2 is selected, search for real estate that does not have a PC room in the vicinity and has a school district first, and then searches for real estate considering how much sex offenders live in the vicinity and the number of CCTV installed in the vicinity. It is done.

The weight may be set using an average value of data obtained from the public data server 20.

When the average number of PC rooms is set as weight 3, 5 is the number of PC rooms less than 80% of the average, weight 4 is the number less than 60% of the average, 2 is the number as large as 130% of the average, and 1 is the average. It can be evaluated through various settings such as a large number of up to 150%.

This example is only an example, and settings can be changed in various ways according to conditions.

7 is a flowchart of a method for searching a residential environment using public data according to a preferred embodiment of the present invention.

Referring to FIG. 7, in a residential environment search method using public data according to a preferred embodiment of the present invention, the search service server 10 collects public data of the public data server 20 corresponding to the residential environment condition. Step (S71), the step (S72) of checking the search area information designated by the user terminal 30 connected to the search service server 10 (S72), and the number of data corresponding to the residential environment condition located in the search area information Counting (S73) and filtering according to the weight of the residential environment condition specified by the user terminal 30 to display real estate meeting the residential environment condition in the search result display area 630 through the user terminal 30 It includes a step (S74) to enable confirmation.

In step S71, public data meeting the residential environment conditions set by the search service server 10 are collected by the public data server 20.

At this time, the residential environment condition may be classified into an educational environment 100, a crime prevention environment 200, and a natural environment 300, and the educational environment 100 is a PC room free condition 110, a school price. It may be a condition 120 and a sports facility condition 130.

The crime prevention environment 200 may be a sex offender free condition 210, a CCTV condition 220, and the natural environment 300 is a green area condition 310, a noise condition 320, and an air pollution condition ( 330) and water pollution conditions 340 may be exemplified.

Public data corresponding to such a residential environment condition may be collected from one or more public data servers 20.

An example of a public data server 20 that provides public data corresponding to a residential environment condition is shown in Table 1 above.

Then, in step S72, the search area information designated by the user terminal 30 connected to the search service server 10 is checked. The search area at this time may be an administrative area unit such as dong, gu, city, etc., and the map provided by the search service server 10 may be an area selected while expanding, reducing, moving, etc. in the user terminal 30. have.

Although omitted in the description at this time, the user terminal 30 may select an area and a residential type.

The housing type may be omitted since it is not substantially related to the provision of the residential environmental conditions proposed by the present invention, particularly the provision of harmful environmental information for youth.

Then, in step S73, the search service server 10 counts the number of data corresponding to the residential environment condition located in the search area information.

If the area selected by the user terminal 30 is'Dongdaemun-gu', the search service server 10 counts data corresponding to the residential environment conditions of an address belonging to Dongdaemun-gu.

For example, by counting the number of PC rooms in the premises corresponding to the PC room free condition (110) among the educational environment (100) conditions in Dongdaemun-gu, data corresponding to 3469 PC room free conditions (110) can be obtained. have.

This data is the result of counting data collected by the public data portal (www.data.go.kr).

In the same way, the number of academies for the school price condition 120 is counted, the number of sports facilities corresponding to the sports facility condition 130, the number of sex offenders living in the premises corresponding to the sex offender free condition 210, CCTV Number of CCTV installations corresponding to condition 220, number of parks corresponding to green area condition 310, number of days when annual premises measurement noise data corresponding to noise condition 320 exceeded the standard value, air pollution condition (330) waiting The number of days in which the measurement value of pollution exceeds the reference value and the number of days in which the measurement value of water pollution in the water pollution condition 340 exceeds the reference value are counted.

Then, in step S74, the real estate that meets the residential environment condition is displayed in the search result display area 630 by filtering according to the weight of the residential environment condition specified by the user terminal 30, so that it can be checked through the user terminal 30. To be there.

In this case, the weight of the residential environment condition in the user terminal 30 connected to the search service server 10 may be set to a value of 1 to 5 described above, which may be expressed as a special ratio to the average value.

Table 2 shows an example of filtering the PC room free condition using weights.

weight Range of values 5 x <average-(A*25%)*2 4 (average-(A*25%)*2) <x <(average-A*25%) 3 average-A*25% <x <average + A*25% 2 average + (A*25%) <x <average + (A*25%)*2 One average + (A*25%)*2 <x

The PC room free condition means that the higher the weight, the less the number of PC rooms in the neighborhood is searched for real estate, and the higher the weight, the higher the weight, the more real estate the academy price is searched around.

In other words, if the condition is negative, the larger the weight, the smaller the number, and the positive, the higher the weight, the larger the number of local real estate.

In the table above, X means the range of values, max is the number of previously counted data, average is the average value of the wide area to which the user selected area belongs, and A is the difference between max and the average.

For example, when Dongdaemun-gu is set as the search area, the average value may be a value obtained by dividing the total number of PC rooms in Seoul by the number of districts.

In addition, the setting of 25% in Table 2 above is the setting ratio of 20%, 15%, etc., and the setting ratio is set to y% (y is an integer between 15 and 30), so that batch calculation processing for each weight is possible. Do.

The data range of the weight value presented in the above table may be displayed as shown in FIG. 8.

The above example is just one example and can be applied by changing it in various ways.

In this way, the price information of real estate may be displayed in the search result display area 630 by using the value calculated by applying the weight filter.

In addition, the present invention may provide a visualization function that enables a user to schematically check a residential environment condition of a region of interest by using the user terminal 30 by using the retrieved data.

9 schematically shows the number of distinct PC rooms in Seoul as a map, and the darker the color, the greater the number of PC rooms.

Gangseo-gu and Gwangjin-gu have a large number of PC rooms, and Yongsan-gu, Jung-gu, and Seongdong-gu have relatively few PC rooms.

If the user accesses the search service server 10 using the user terminal 30, designates the search target area as Seoul, and sets the weight of the PC room free condition to 5 excluding other conditions, Jung-gu , Seongdong-gu, and Yongsan-gu can be searched.

10 schematically shows the number of distinct academies in Seoul, and the darker the color, the larger the number of private institutes.

At this time, if the user accesses the search service server 10 using the user terminal 30, designates the search target region as Seoul, and sets the weight of the school price condition to 5 excluding other conditions, Gangnam-gu will be searched. I can.

10 and 9, if the user terminal 30 assigns the weight of the PC room-free condition to 5 and the weight of the school price condition as 4 as the weight distribution in the user terminal 30, the number of PC rooms is relatively small, while the number of private institutes is searched by Seocho-gu. Can be.

As described above, the present invention provides various residential environment conditions, and real estate information of a region suitable for a user's desired residential environment can be provided by using a weight assigned by the user for each residential environment condition.

In addition, reliability and up-to-dateness can be secured by using public data of a public data server for the residential environment condition data at this time.

It is obvious to those of ordinary skill in the art that the present invention is not limited to the above embodiments and can be variously modified and modified within the scope not departing from the technical gist of the present invention. will be.

10: search service server 20: public data server
30: user terminal

Claims (10)

One or more public data servers that provide public big data on educational environments, crime prevention, and natural environments;
A search service that collects and processes data on the educational environment, crime prevention and natural environment from the public data server, and provides real estate information that meets the conditions selected by the user along with real estate information classified by region and residential type. server; And
A residential environment search service system using public big data including a user terminal that accesses the search service server, selects a region of interest and a type of residence, sets a weight for the residential information, and checks a search result. The method of claim 1,
The educational environment includes, respectively, the number of PC rooms, the number of academies, and a PC room free condition indicating the number of sports facilities, a school price condition, and a sports facility condition,
The crime prevention includes a sex offender-free condition indicating the number of sex offenders living in the vicinity and a CCTV condition that is the number of CCTV installations,
The natural environment is a residential area that uses public big data including green space conditions representing the number of green spaces, noise conditions representing the number of days when noise, air pollution, and water pollution occurs above the annual standard, respectively, air pollution conditions, and water pollution conditions. Environment search service system. The method of claim 2,
The weight for the residential environment condition is,
It has a range of values set according to the importance set by the user,
A residential environment search service system using public big data, characterized in that in negative conditions, the larger the weight, the smaller the number is first searched, and in the positive condition, the larger the weight, the larger the number is first retrieved. The method of claim 3,
The search service server,
If there is an input for setting the region of interest to be searched in the user terminal,
Counting the number of data corresponding to the residential environment conditions belonging to the region of interest in the public data of the public data server,
A residential environment search service system using public big data, characterized in that filtering according to a weight input through a user terminal and displaying the result on a map. The method of claim 4,
The search service server,
When the residential environment condition is negative, filtering according to the weight is a residential environment search service system using public big data determined according to Equation 1 below.
Equation 1
Weight 1: Average + (A*y%)*2 <x
Weight 2: Average + (A*y%) <x <Average + (A*y%)*2
Weight 3: Average value-A*y% <x <Average value + A*y%
Weight 4: (average-(A*y%)*2) <x <(average-A*25%)
Weight 5: x <average-(A*y%)*2
In Equation 1, the average value is the average of the wide area including the search area, x is the range, y is the setting ratio, and A is the difference between the average value and the counting value of the current search area. The method of claim 4,
The search service server,
When the residential environment condition is negative, filtering according to the weight is a residential environment search service system using public big data determined according to Equation 2 below.
Equation 2
Weight 5: Average + (A*y%)*2 <x
Weight 4: average value + (A*y%) <x <average value + (A*y%)*2
Weight 3: Average value-A*y% <x <Average value + A*y%
Weight 2: (average-(A*y%)*2) <x <(average-A*25%)
Weight 1: x <average-(A*y%)*2
In Equation 2, the average value is the average of the wide area including the search area, x is the range, y is the setting ratio, and A is the difference between the average value and the counting value of the current search area. a) performing a selection input for a region of interest to be searched in a user terminal connected to a search service server;
b) counting the number of data corresponding to the residential environment conditions belonging to the region of interest from the public data of the public data server in the search service server; And
c) A residential environment search service method using public big data, comprising filtering data corresponding to the residential environment conditions according to a weight input through a user terminal and displaying the result on a map. The method of claim 7,
The residential environment conditions consist of an educational environment, crime prevention, and natural environment,
The educational environment includes, respectively, the number of PC rooms, the number of academies, and a PC room free condition indicating the number of sports facilities, a school price condition, and a sports facility condition,
The crime prevention includes a sex offender-free condition indicating the number of sex offenders living in the vicinity and a CCTV condition that is the number of CCTV installations,
The natural environment includes a green area condition representing the number of green areas, a noise condition representing the number of days when noise, air pollution, and water pollution occurred above the annual standard value, respectively, an air pollution condition, and a water pollution condition,
The weight for the residential environment condition has a range of values set according to the importance set by the user, and in a negative condition, first searches for a smaller number as the weight increases, and in a positive condition, first searches for a larger number as the weight increases. A residential environment search service method using public big data as a feature. The method of claim 8,
In step c),
When the residential environment condition is negative, filtering according to the weight is determined according to Equation 1 below. A residential environment search service method using public big data.
Equation 1
Weight 1: Average + (A*y%)*2 <x
Weight 2: Average + (A*y%) <x <Average + (A*y%)*2
Weight 3: Average value-A*y% <x <Average value + A*y%
Weight 4: (average-(A*y%)*2) <x <(average-A*25%)
Weight 5: x <average-(A*y%)*2
In Equation 1, the average value is the average of the wide area including the search area, x is the range, y is the setting ratio, and A is the difference between the average value and the counting value of the current search area. The method of claim 8,
In step c),
When the residential environment condition is negative, filtering according to the weight is a residential environment search service system using public big data determined according to Equation 2 below.
Equation 2
Weight 5: Average + (A*y%)*2 <x
Weight 4: average value + (A*y%) <x <average value + (A*y%)*2
Weight 3: Average value-A*y% <x <Average value + A*y%
Weight 2: (average-(A*y%)*2) <x <(average-A*25%)
Weight 1: x <average-(A*y%)*2
In Equation 2, the average value is the average of the wide area including the search area, x is the range, y is the setting ratio, and A is the difference between the average value and the counting value of the current search area.

Images