JP2003162553A - Building structure data retrieval system and method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To allow a user to easily input an accurate layout of furniture and fixture articles in home without imposing considerable efforts on the user, wherein it is important that, for constructing a radio system in the user's home, the user, personally, can set the layout of a wall, a floor and other furniture and fixture articles (herein referred to as furniture and fixture articles in home) and the location of a master station, and can grasp the radio propagation environment in the user's home. <P>SOLUTION: The user 104 makes a room arrangement retrieval request to a room arrangement retrieval engine 102 via a terminal 103. The room arrangement retrieval engine 102 extracts room arrangement data matching with or similar to the accepted retrieval request from a database 101, and presents the data to the user 104 via the terminal 103. The room arrangement retrieval engine 102 collates the room arrangement information inputted interactively from the user with each of the pieces of room arrangement data recorded in the room arrangement database 101, extracts and presents matching or similar room arrangement. <P>COPYRIGHT: (C)2003,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a building structure data search system, method and program, and more particularly to a building structure data search method suitable for estimating radio wave propagation characteristics.

[0002]

2. Description of the Related Art A wireless master station (or a wireless base station) and a wireless slave station (or a wireless terminal) in an environment where obstacles exist, such as a house where furniture such as desks and shelves are arranged according to the user's preference. The master station layout design of the wireless communication system is a design item that requires specialized knowledge. Under such an environment, the influence of reflection and diffraction of radio waves due to obstacles differs depending on the arrangement of the master station, so that the dead zone in which communication becomes impossible also greatly differs.

For example, consider a home environment as shown in FIG. FIG. 13 is a diagram showing a first example of a region where wireless communication is disabled. In the figure, 1000-1 to 1000
-4 is a wall, which defines one home. Also, 10
01-1 to 1001-3 are partitions for partitioning each room. Furthermore, as furniture, 1003-1 to 1003-3
Is a desk, 1002 is a shelf, and 1004 is a sofa. In such a home environment, for example, the desk 1003
When the wireless base station 1010 is installed on -1, the hatched portion in the same drawing, which is away from the wireless base station 1010, becomes a dead zone, and communication cannot be performed.

Further, as shown in FIG. 14 showing a second example of a region where wireless communication is disabled, as shown in FIG.
Is installed on the desk 1003-2, for example, the wall 100
It is considered that dead zones (hatched portions in the figure) occur near 0-4 and 1000-1, and communication cannot be performed. Such hatched portions are the walls 1000-1 to 1000.
-4, the partitions 1001-1 to 100-3, the material of the furniture, the arrangement of the furniture, the intervals of the partitions, etc., and it is difficult for a user who does not have specialized knowledge to predict the dead zone.

On the other hand, in order to solve the station placement problem of such a radio system, for example, in Japanese Patent Laid-Open No. 7-87557 (hereinafter referred to as Document 1), a service providing area in a building is determined. There is disclosed a master station setting system in which a plurality of preset parent installation candidate points are set, and the parent installation candidate points are selected and notified so as to cover the entire service area. In addition, JP-A-8-214
Japanese Patent Laid-Open No. 363 (hereinafter referred to as Document 2) discloses a method of sequentially obtaining parent station arrangement points so as to reduce the wireless dead zone in order to more efficiently obtain the parent station arrangement that does not cause the wireless dead zone. Has been done.

The systems shown in Documents 1 and 2 are basically techniques for minimizing the wireless dead zone based on the magnitude of received power.

[0007]

However, when a general user constructs a wireless communication system at home, he or she does not always have expertise in radio wave propagation, and predicts a dead zone to ensure stable wireless communication. Is difficult to do. Even if stable wireless communication can be realized, if the in-home layout is changed, the wireless propagation environment is also changed. Therefore, communication cannot always be performed even after the layout is changed. Therefore, in order for a general user to build a wireless system in a home, the user himself / herself needs to lay out walls, floors, ceilings, and other furniture (collectively referred to as home furniture), and It is important to be able to set the station position and to understand the radio propagation environment in the user's house.
If the radio propagation environment can be grasped, the position of the master station can be finely adjusted by the user himself so that the user can perform communication at a desired position.

At this time, it is desirable that the layout input of the household appliances be as easy as possible. Since the radio wave propagation characteristics are sensitive to the layout of household appliances and the physical property data of each household furniture, it is essential to input the accurate indoor furniture layout in order to grasp the radio wave propagation characteristics more accurately. is there. The physical property data is a physical constant that determines a reflection / transmission coefficient when a radio wave reaches a household appliance, and is specifically defined by a dielectric constant, a conductivity, and the like.

However, inputting such an accurate home furniture layout requires a great deal of labor for the user, and grasping the physical property data requires setting of an accurate value only by a person who is very knowledgeable about the physical properties of the material. Is almost impossible.

In the above-mentioned Documents 1 and 2, it is not clear how the user inputs the building structure in the first place, and much less about the input method of the interior furniture layout.

Therefore, the present invention has been made in view of the above problems of the prior art, and an object of the present invention is to allow a user to easily input the layout of household appliances and to obtain expert knowledge about physical property data. It is to provide a building structure data search system, a method, and a program for realizing accurate setting of physical property data for each household fixture even if there is no need.

[0012]

According to the present invention, there is provided a building structure data search system including a building structure database and a searching means for searching the database,
The building structure database is a plurality of floor plan data,
The search means has attribute information corresponding to each of the floor plan data, and the search means collates the input floor plan information about the building input from the request source with the attribute information contained in the database. A building structure data retrieving system is obtained, which comprises: an extracting unit for extracting floor plan data having attribute information matching or similar to the floor plan information; and a unit for presenting the extracted floor plan data to the request source. .

Further, according to the present invention, the floor plan that matches the input floor plan information regarding the building from the requester is stored from the building structure database in which a plurality of floor plan data and attribute information corresponding to each of these floor plan data are stored in advance. A building structure data retrieval method for retrieving data, wherein the floor plan data having attribute information matching or similar to the input floor plan information is extracted while collating the input floor plan information with the attribute information contained in the database. A method of retrieving a building structure data, characterized by comprising steps and presenting the extracted floor plan data to the request source.

Further, according to the present invention, the floor plan data matching the input floor plan information regarding the building from the request source is stored from the building structure database in which a plurality of floor plan data and attribute information corresponding to each of these floor plan data are stored in advance. Is a program for causing a computer to execute a building structure data search method for searching for attribute information that matches or is similar to the input floor plan information while collating the input floor plan information and the attribute information included in the database. A program having an extraction step of extracting the floor plan data and a step of presenting the extracted floor plan data to the request source can be obtained.

The operation of the present invention will be described. The present invention provides a floor plan search engine capable of detecting the floor plan data closest to the floor plan desired by the user from a database storing a large number of floor plans.
The floor plan search engine is connected to the network, and a plurality of users can connect to the floor plan search engine. In addition, since the floor plan database connected to the network is centrally managed, it becomes easy to maintain and manage the floor plan data such as addition and correction. The floor plan search request mechanism by the user is configured by an interactive user interface, and it is possible to easily search for a desired floor plan without having specialized knowledge.

[0016]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a schematic diagram showing the overall configuration of an embodiment of the present invention. The user 104 requests a floor plan search request to the floor plan search engine 102 via the terminal 103. The floor plan search engine 102 searches the floor plan database 101 for the floor plan data that matches the received floor plan search request, and obtains the corresponding floor plan data from the terminal. It is presented to the user 104 via 103.

The floor plan data in this case include walls, floors, ceilings,
This includes the furniture layout information such as furniture, and also the physical property data information of each furniture. A plurality of retrieved floor plan data presented to the user may be listed as candidates. The user 104 can operate from a remote location by using a communication network such as the Internet as an access means to the floor plan search engine 102. Also, there may be a plurality of users 104 at the same time. By centrally installing the floor plan search engine and the floor plan database on the network, the database can be easily managed.

The floor plan search engine 102 accepts the floor plan search request through a web page provided by the floor plan search engine 102, and the user 104 obtains desired floor plan data.
It is realized by the download function included in the page.

Next, the processing flow of the floor plan search request processing executed by the user before carrying out the floor plan search will be described with reference to FIG. In the process shown in FIG. 2, the user interactively inputs desired items by using a web page provided by the floor plan search engine 102. First, in step 201, the floor plan basic information desired by the user is input. Here, the floor plan basic information includes items as shown in FIG. 3, that is, information such as “number of households”, “floor plan”, “floor number”, and “size”.

The "number of households" shown in FIG. 3 indicates whether the layout desired by the user is one-family house, two-family house, or other, and the user selects one from these. To do. The “floor plan” shown in FIG. 3 means a feature of the floor plan desired by the user, and includes, for example, a living room (or living room), a dining room (or dining room),
If the building includes a kitchen (or a kitchen) and three other rooms, select 3LDK. In addition, L means a living room, D means a dining room, and K means a kitchen.

"Number of floors" shown in FIG. 3 means whether the floor plan desired by the user is a condominium, a one-story house, or 2
It indicates whether it is a one-story house or a three-story house, and the user selects one from these. Finally,
“Area” shown in FIG. 3 indicates the amount of floor space the user wants, and the user selects an appropriate space by dividing the space into several intervals as shown in FIG. To do.

After the input of the floor plan basic information in FIG. 2 is completed, next, each floor configuration selection shown in step 202 of FIG. 2 is performed. Here, selection of each floor configuration means selection of items as shown in FIG. That is, the room name included in one floor of the floor plan desired by the user is defined. For example, when there is one entrance, LDK, bathroom, washroom, toilet, stairs, and storage room, "entrance 1" shown in FIG.
"LDK1", "bathroom", "washroom", "toilet",
Select “Stairs” and “Nano 1” respectively. Furthermore, if there are two Western-style rooms and one Japanese-style room, "Western-style room 1", "Western-style room 2" and "Japanese-style room 1" are selected.

After each floor configuration selection in FIG. 2 is completed,
Next, in step 205 of FIG. 2, the position of each room on the floor is selected. Here, selection of the room position means selection of items as shown in FIG. That is, the position of each room on each floor selected in FIG. 3 is input. As the definition of the room position, in FIG. 5, the position is defined as shown in FIG.

For example, in the floor plan example shown in FIG.
Since the position of the Japanese-style room belongs to the west and northwest directions when viewed from the center of the building, west and northwest are selected as the directions of the Japanese-style room 1 in FIG. On the other hand, in the floor plan example shown in FIG. 6, since the LD (living / dining) positions belong to northeast, north, northwest, and west, the directions of LD1 in FIG.
Select each west.

By the above, the input of the floor plan information for one floor is completed. If 2 floors is selected as the floor number information of the floor plan basic information in step 201, then the floor plan information of the second floor is set in step 203,
In step 206, the same input as in step 202 and step 205, respectively. The same applies to floor plans with three or more floors.

When the floor plan information of each floor of the floor plan desired by the user is completed, the floor plan search is started in step 208. The floor plan search is carried out by the floor plan search engine 102 shown in FIG. 1, and the detailed description of the search process will be given below.

It is assumed that a large number of floor plan data are stored in the floor plan database 101 shown in FIG. 1. Attribute information as shown in FIG. 7 is recorded for each floor of the floor plan data. Therefore, the attribute information corresponds to the floor plan information of each floor input by the user in FIG. In the example of the floor plan data shown in FIG. 7, it is assumed that the entrance 1 is located at “East” in the position regulation shown in FIG. 6, and its attribute information is shown with “1” standing at the east. There is. Similarly, information indicating the position of each of the other rooms constituting the floor plan, that is, its attribute information is shown as "1". Therefore, the attribute information in this case is information for specifying the direction from the building center of each room.

FIG. 8 is an operation flow showing the search processing of the floor plan search engine 102.
Collates the floor plan information of each floor input from the terminal 103 of the user 104 with the attribute information of each floor plan data recorded in the floor plan database 101 at step 801, and at step 802, the same or similar. The floor plan data to be extracted is extracted from the database 101.

Here, there may be a plurality of floor plans to be extracted. As a determination criterion for similarity or dissimilarity, the positions of all or some of the rooms described in the floor plan information input by the user are the positions of the rooms described in the attribute data included in the floor plan database 101. When it matches the position, the floor plan data having the attribute information is determined as the floor plan data similar to the input floor plan information.

In general, the definitions of living room and dining room are ambiguous, and some users may judge that a room is a living room, and some people may judge that it is a mere Western-style room (or Japanese-style room). Therefore, as shown in FIG. 9, among the attribute information recorded in the floor plan database, L (living room), LD (living room), DK (dining kitchen), LDK (living dining room), Western-style room, and Japanese-style room are the same. It can also be considered as a thing. This can reduce the possibility that the desired floor plan data will be excluded. That is, the identity of the room names at the time of matching is determined according to a predetermined identity determination criterion, as in the example shown in FIG.

On the other hand, the direction of each room varies depending on the person, and the direction is ambiguous. Therefore, as shown in FIG. 10, when the user specifies south for a room, when searching by referring to the attribute information of the floor plan database 101, the search is performed by including the adjacent directions, that is, southeast and southwest. It is also possible to This can absorb the ambiguity of the direction input by the user and reduce the possibility that the desired floor plan data will be excluded.

When the ambiguity is taken into consideration at the time of detection, it is possible to reduce the possibility that the desired data is excluded, while the number of hits in the search is large and the one with the closest floor plan desired by the user is finally selected. It is necessary to extract it into Therefore, a final floor plan extraction mechanism having a user interface as shown in FIG. 11 is used. Figure 11
Is a schematic representation of a web page showing the final floor plan extraction mechanism in the present invention. On the left half of the page, reduced images 301, 303, 305 of floor plan drawings and download buttons 302, 304, 306 searched by the floor plan search engine are arranged in the vertical direction from the top. The user 104 can quickly search for an image close to the intended floor plan by comprehensively viewing the plurality of reduced images displayed on the terminal 103. When each floor plan reduced image itself is selected with a mouse or the like, an enlarged image 307 is displayed on the right side.

This allows the user 104 to observe the floor plan that seems to be the desired floor plan in more detail. After confirmation by the enlarged image 307, the user 104
Downloads the floor plan data close to the floor plan it desires by pressing the download button.

FIG. 12 shows another embodiment for defining the room position shown as an example in FIG. In FIG. 12, the room is divided into nine equal parts, and the names of the respective positions are defined as P11 to P33. Although it is divided into 9 equal parts in FIG. 12, if the number of divisions is further increased in both horizontal and vertical directions,
It is possible to specify a more detailed position. In addition, if the number of rooms is small, it is possible to divide only in one of the horizontal and vertical directions.

As described above, the floor plan data desired by the user can be easily retrieved from a large number of floor plan databases without forcing the user to input the floor plan of the evaluation target house during the propagation characteristic evaluation. , It becomes easy to evaluate the radio wave propagation characteristics. The above-mentioned embodiment can be applied to the case where the floor plan of the evaluation target house for the radio wave propagation characteristic evaluation is searched, but since the floor plan desired by the user is easily searched, it is generally used. It is obvious that, when a house is newly built or renovated, it can be used for searching a floor plan that roughly matches the floor plan desired by the user.

It is needless to say that the processes of the flowcharts of the operations shown in the above embodiments can be recorded as a program in a recording medium in advance, and can be read and executed by a computer (CPU). is there.

[0037]

As described above, according to the present invention, a database storing a large number of floor plan data in advance is prepared, and a search engine for detecting the floor plan data desired by the user is mounted from this database. There is an effect that the floor plan data that matches or is similar to the desired floor plan can be easily obtained without forcing the user to perform a troublesome input work regarding the floor plan of the desired house.

Further, the floor plan data stored in the database is described with the household furniture configuration and the physical property data of each furniture, thereby making it possible to reduce the trouble of inputting these. Furthermore, by installing a floor plan search engine and floor plan database on a network such as the Internet, it is possible to centrally manage a huge number of floor plan databases, and to improve the efficiency of work such as adding and correcting floor plan data. is there.

Further, the floor plan information desired by the user can be input interactively through the web page provided by the search engine, and there is an effect that the desired floor plan can be easily searched for without special knowledge. Therefore, it can be applied to a case where a floor plan that matches a user's preference is obtained at the time of new construction or remodeling of a house, so that it has versatility.

[Brief description of drawings]

FIG. 1 is a schematic system diagram showing a basic configuration diagram of an embodiment of the present invention.

FIG. 2 is a diagram showing a flow of floor plan information input processing according to the embodiment of the present invention.

FIG. 3 is a diagram showing an example of floor plan basic information in the floor plan information input processing shown in FIG.

FIG. 4 is a diagram showing an example of each floor configuration selection in the floor plan information input processing shown in FIG.

5 is a diagram showing an example of room position selection in the floor plan information input processing shown in FIG.

FIG. 6 is a schematic diagram showing an example of room position setting according to the embodiment of the present invention.

FIG. 7 is a diagram showing an example of floor plan attribute information according to the embodiment of the present invention.

8 is a flowchart showing details of a search process (search start) 208 in the flowchart of FIG.

FIG. 9 is a diagram showing an example of name grouping for eliminating ambiguity of room names in the embodiment of the present invention.

FIG. 10 is a diagram showing an example of name grouping for eliminating ambiguity of direction names according to the embodiment of the present invention.

FIG. 11 is a diagram schematically showing an example of a web page showing a final floor plan extraction mechanism in the embodiment of the present invention.

FIG. 12 is a schematic diagram showing another example of room position setting in the embodiment of the present invention.

FIG. 13 is a first example showing a region where wireless communication is disabled.

FIG. 14 is a second example showing a region where wireless communication is disabled.

[Explanation of symbols]

101 floor plan database 102 Floor Plan Search Engine 103 user terminal 104 users 301,303,305 Floor plan reduced image 302, 304, 306 Download button 307 Floor plan detailed image

Claims (17)

[Claims] 1. A building structure data search system including a building structure database and a search means for searching the database, wherein the building structure database includes a plurality of floor plan data,
The search means has attribute information corresponding to each of the floor plan data, and the search means collates the input floor plan information regarding the building input from the request source with the attribute information contained in the database. A building structure data search system comprising: an extraction unit that extracts floor plan data having attribute information that matches or is similar to the floor plan information and a unit that presents the extracted floor plan data to the request source. 2. The attribute information is information indicating the position of each room constituting the building.
Building structure data retrieval system described in. 3. The building structure data search system according to claim 2, wherein the input floor plan information includes information indicating a position of each room of the building desired by the request source. 4. The building structure data search system according to claim 2, wherein the information indicating the position is information specifying a direction from the center of the building. 5. The information indicating the position is information that divides the building into a plurality of pieces in the horizontal direction and / or the vertical direction, and specifies a rectangular area generated as a result of the division. Alternatively, the building structure data search system described in 3. 6. The extraction means, in the data collation and extraction, when all or part of the information indicating the position included in the input floor plan information matches the attribute information included in the database. 6. The building structure data search system according to claim 1, wherein the floor plan data having the attribute information is extracted as floor plan data that matches or is similar to the input floor plan information. 7. The extraction means, at the time of data collation and extraction, collates the room name of the floor plan data contained in the database with the room name described in the input floor plan information, the predetermined collation. The building structure data search system according to claim 1, wherein the building structure data search system is performed according to a sex determination criterion. 8. The extraction means, in the data collation and extraction, the position of each room described in the floor plan data included in the database is adjacent to the position of each room described in the input floor plan information. If the position is
The building structure data retrieval system according to claim 1, wherein the building structure data retrieval system extracts the floor plan data as the same or similar floor plan data. 9. A building structure for retrieving floor plan data that matches input floor plan information regarding a building from a request source, from a building structure database in which a plurality of floor plan data and attribute information corresponding to each of these floor plan data are stored in advance. A data search method, which comprises extracting the floor plan data having attribute information that matches or is similar to the input floor plan information while collating the input floor plan information with the attribute information contained in the database, And a step of presenting the floor plan data to the request source. 10. The building structure data search method according to claim 9, wherein the attribute information is information indicating a position of each room constituting the building. 11. The building structure data search method according to claim 10, wherein the input floor plan information includes information indicating a position of each room of a building desired by the request source. 12. The building structure data search method according to claim 10, wherein the information indicating the position is information specifying a direction from the center of the building. 13. The information indicating the position divides the building into a plurality of pieces in the horizontal direction and / or the vertical direction,
The building structure data search method according to claim 11 or 12, wherein the building structure data search information is information that specifies a rectangular area generated as a result of the division. 14. The extracting step, in the data collation and extraction, when all or a part of the information indicating the position included in the input floor plan information matches the attribute information included in the database. 14. The building structure data retrieval method according to claim 9, wherein the floor plan data having the attribute information is extracted as floor plan data that matches or is similar to the input floor plan information. 15. In the extraction step, at the time of data collation and extraction, the collation of the room name of the floor plan data included in the database and the room name described in the input floor plan information is a predetermined match. 15. The building structure data retrieval method according to claim 9, wherein the retrieval is performed according to a sex determination criterion. 16. In the extraction step, in the data collation and extraction, the position of each room described in the floor plan data included in the database is adjacent to the position of each room described in the input floor plan information. The building structure data retrieval method according to any one of claims 9 to 15, wherein the building structure data is extracted as the floor plan data that is the same or similar when the position is a position. 17. A building structure for retrieving floor plan data that matches input floor plan information regarding a building from a request source, from a building structure database in which a plurality of floor plan data and attribute information corresponding to each of these floor plan data are stored in advance. A program for causing a computer to execute a data search method, wherein floor plan data having attribute information matching or similar to the input floor plan information is extracted while collating the input floor plan information and the attribute information included in the database. And a step of presenting the extracted floor plan data to the request source.