WO2019003467A1

WO2019003467A1 - System for assisting in creating building facility drawing

Info

Publication number: WO2019003467A1
Application number: PCT/JP2017/038752
Authority: WO
Inventors: 橋本　昌典; 直也福岡; 横田　守真; 一生冨澤; 利宏妻鹿; 裕希川野
Original assignee: 三菱電機株式会社
Priority date: 2017-06-27
Filing date: 2017-10-26
Publication date: 2019-01-03
Also published as: JP2019008664A; JP6608403B2

Abstract

Facility plan-view data (13A, 13B, 13C) of each floor where a facility is installed in the frame of a building are stored in a drawing database (24). When frame plan-view data (11) of each floor of the building is inputted, an information extraction unit (26) calculates, in building units, a similarity determination parameter based on character and diagram information of the frame plan-view data, and calculates, in building units, a similarity determination parameter based on character and diagram information of the frame in relation to the facility plan-view data stored in the drawing database. A similar project extraction unit (28) extracts a building having a frame structure similar to that of the building from which the frame plan-view data originates and the facility plan-view data of the building on the basis of the similarity determination parameters of the frame plan-view data and facility plan-view data.

Description

Building equipment drawing making support system

The present invention relates to a system for supporting the creation of a building installation drawing.

In general, a building design drawing describes a frame as a frame of a building such as a column, a beam, a wall, a floor plate (slab), and various facilities such as a sanitary facility, an air conditioning facility, an electrical facility, and a fire extinguishing facility. Among the architectural design drawings, a drawing in which only the frame is described without equipment is referred to as a body drawing, and a drawing in which various equipment is additionally described is referred to as a construction equipment drawing (or simply an equipment drawing).

In creating these architectural design drawings, the work load can be reduced by referring to past cases. Extraction of past cases is efficiently performed by image recognition and character recognition of past architectural design drawing data.

For example, in Patent Document 1, room layout (closed area surrounded by a wall) is automatically recognized from past two-dimensional CAD data. Further, if the closed area includes a room name element (character element), the closed area and the room name element are associated.

In Patent Document 2, a room area is identified by extracting a closed area from a floor plan input by a figure input device such as a scanner. Furthermore, the function of the room is recognized from the graphic symbols present in the room area, and the room names are associated.

In Patent Document 3, an image processing is performed on a drawing to extract a boundary line, thereby identifying a region of equipment depicted in the drawing, and when a character string is included in the region, extracted characters Associate columns with areas.

In Patent Document 4, texts such as floor plans and areas, and image data of floor plans are stored in a property database. If the condition of the desired property is input in text, the text condition will extract a property that is highly suitable for the condition of the desired property. Furthermore, when the floor plan of the desired property is designated by the image, the property having a high degree of similarity in the floor plan is extracted. The overall fitness is determined using the fitness and the similarity.

In Patent Document 5, by inputting an architectural drawing created by a user, an architectural design drawing that most meets the conditions is extracted and displayed from the architectural design drawings stored in the database. Further, when a desired drawing is selected from the architectural design drawings retrieved and displayed, a light distribution diagram of the optimum light fixture and a light fixture list are displayed on the light design result screen.

In Patent Document 6, a drawing name is extracted from a plurality of drawings in which equipment drawings are arranged, and a symbol indicating equipment equipment and an identification number input in characters are extracted, and an equipment list in which equipment numbers are associated with drawing names I have created a table.

JP 2007-115238 A Unexamined-Japanese-Patent No. 10-124547 JP, 2015-7955, A Unexamined-Japanese-Patent No. 2002-149681 Unexamined-Japanese-Patent No. 2004-252530 Unexamined-Japanese-Patent No. 9-319774 gazette

By the way, a division of labor system may be adopted to create an architectural design drawing. For example, a general diagram (general construction company) having specialized knowledge of a frame structure, a design office or the like creates a box diagram. Next, a so-called sub-con (equipment construction company) having specialized knowledge of each facility, etc., describes a building-equipment diagram in which the facilities are installed on each floor of the box diagram.

An object of the present invention is to provide a building equipment drawing drawing support system capable of reducing the work load more than ever by extracting appropriate past cases when developing from a body drawing to a building equipment drawing.

The present invention relates to a building equipment drawing preparation support system. The system includes a drawing database, an information extraction unit, and a similar case extraction unit. In the drawing database, facility plan data of each floor on which facilities are installed in a building frame is stored. The information extraction unit, when the floor plan data of each floor of the building is input, calculates the similarity determination parameter based on the character and graphic information of the floor plan data of the corresponding building in building units, and stores it in the drawing database. The similarity determination parameters based on the character and graphic information of the box are calculated for each building on the basis of the installation plan data. The similar project extraction unit extracts a building whose housing structure is similar to the building which is the source of the housing plan data and the equipment plan data of the building based on the similarity determination parameter of the housing plan data and the equipment plan data.

In the above invention, the information extraction unit calculates at least one of the types of room names on all floors, the total number of rooms, and the total floor area among the frame structures of the floor plan data and the floor plan data as the similarity determination parameter. You may

In the above invention, the similar item extraction unit may assign a higher degree of similarity as the similarity determination parameter with respect to the installation plan data is closer to the similarity determination parameter with respect to the housing plan data.

Further, in the above invention, the information extraction unit may extract the facility based on the symbol graphic information of the facility described in the facility plan view data.

Further, in the above-mentioned invention, the information extraction unit may determine an area surrounded by a line in the equipment plan view data as a room candidate.

Further, in the above invention, the information extraction unit may determine the room candidate as the room, when the circumferential length of the line surrounding the room candidate is equal to or more than a predetermined threshold.

Further, in the above invention, the information extraction unit may list equipment installed in the room by searching for symbol information of the equipment included in the area of the room.

In the above invention, an input unit may be provided which can select at least one of the type of room name on the entire floor, the total number of rooms, and the total floor area as the similarity determination parameter.

According to the present invention, at the time of development from a frame view to a building installation view, facility plan view data of a building whose frame structure is similar to that of the building that is the basis of the frame view is extracted. By extracting an appropriate past case in this manner, it is possible to reduce the workload for creating a building installation diagram more than in the past.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which illustrates the structure of the building installation drawing preparation assistance system which concerns on 1st Embodiment. It is a figure which illustrates the functional block of the building installation drawing creation support system concerning a 1st embodiment. It is a figure which illustrates a similar case extraction flow. It is a figure which illustrates housing top view data. It is a figure which illustrates an information extraction processing flow. It is a figure which illustrates the case summary and room information of the similar case displayed on a display part. It is a figure which illustrates the functional block of the building installation drawing creation assistance system concerning a 2nd embodiment. It is a figure explaining extraction processing of equipment. It is a figure which illustrates the case summary and room information of the similar case displayed on a display part. It is a figure which illustrates the functional block of the building installation drawing creation assistance system concerning a 3rd embodiment. It is a figure which illustrates the position coordinate acquisition process of an installation. It is a figure which illustrates the histogram which compares the number of facilities for every room.

The block diagram of the building installation drawing preparation assistance system 10 which concerns on FIG. 1 at this embodiment is illustrated. The building installation drawing creation support system 10 includes, for example, a computer system (computer), and a CPU 16 (Central Processing Unit), a memory 18, an input unit 20, and a display unit 22 are connected via a system bus.

The input unit 20 includes, for example, a keyboard, a mouse, and the like, and a user or the like of the building facility drawing preparation support system 10 can input various information to the computer. As will be described later, the data input to the input unit 20 includes the installation plan data 13, the enclosure plan data 11, and the selection data of the similarity determination parameter.

The display unit 22 is formed of, for example, an LCD, and can display the calculation processing result of the CPU 16 and the storage contents of various databases stored in the memory 18. As will be described later, the data displayed by the display unit 22 is the equipment

plan view data

13A, 13B, 13C of a building whose case structure is similar to the building which is the source of the case plan view data 11 input to the input unit 20. ... and the incidental information is displayed.

The memory 18 is composed of volatile and non-volatile memory (storage medium) including a memory such as a random access memory (RAM) and a read only memory (ROM), and a storage device such as a hard disk. As will be described later, the memory 18 stores a program that causes the computer to function as the building installation drawing creation support system 10. Note that the computer may be made to function as the building installation drawing creation support system 10 by reading a storage medium such as a CD-ROM or a DVD in which the program is stored.

The functional block diagram of the building installation drawing preparation assistance system 10 is illustrated by FIG. As shown in this figure, the drawing database 24 is constructed in the memory 18. The drawing database 24 stores drawing data of a building constructed in the past. The drawing data is stored for each building (for each construction item).

The drawing data for each building, which is stored in the drawing database 24, includes equipment plan data (equipment drawing data) of each floor where equipment is laid on the frame of the building. The equipment plan view data is plan view data in which the installation position and the like of the equipment relative to the housing are described for each floor, that is, image data. This image data may be in raster format or in vector format. In addition, the equipment plan view may be created for each of various kinds of equipment such as sanitary equipment, air conditioning equipment, electrical equipment, fire extinguishing equipment and the like.

The drawing database 24 may also include text data linked to the image data of the equipment plan view. This text data includes, for example, text information described in the drawing. For example, the text of the building includes the title of the building, the name of the work, the number of floors, the total floor area, the number of rooms, and the like described in the title column of the drawing.

The installation plan data may be, for example, 2D-CAD data. In this case, the equipment plan view data may be divided into layers by the housing and the equipment. By doing this, comparison between the housing plan views is easily performed as described later.

As shown in FIG. 2 and the like, a plurality of functional units are virtually constructed as the CPU 16 executes a program stored in the memory 18 or a storage medium such as a CD-ROM or a DVD. Specifically, in the CPU 16, an information extraction unit 26, a similar case extraction unit 28, and an equipment diagram registration unit 30 are constructed. Furthermore, the information extraction unit 26 includes a building information extraction unit 32, a room structure information extraction unit 34, and a room name extraction unit 36.

FIG. 3 exemplifies the extraction flow of similar items by the building facility drawing preparation support system 10. First, to the input unit 20, the housing plan view data 11 of each floor in an arbitrary building, which is shown as the case A in the figure, is inputted. FIG. 4 shows an example of a plan view of a housing. The housing plan view shows a plan view of each floor in the housing plan of the stage before installation of equipment. Hereinafter, depending on the situation (for example, when it is obvious that it is a plan view), it is simply described as a box diagram.

As shown in FIG. 4, a diagram showing dimensions of a wall, a pillar, etc. constituting a housing is shown. In the title column at the bottom right of the drawing, the project outline such as the construction name is described. In addition, in the housing top view of FIG. 4, description is abbreviate | omitted about a one part dimension etc. in order to simplify illustration.

The information extraction unit 26 extracts various information from the input housing plan view data 11 (S10). An information extraction process flow is illustrated in FIG. The information extraction unit 26 recognizes characters in the title section of the floor plan data 11 of all floors, and acquires item summary information of the building (S26).

As shown in FIG. 4, in the title column of the architectural drawing, the construction name, the subject (figure name), etc. are described. The building information extraction unit 32 recognizes this character. From the subject (figure name), it can be determined whether or not the drawing to be recognized is a housing plan view. In addition, as a term synonymous with a box top view, it may be described as a "box look-up figure" or only a "box figure." Therefore, these terms may also be extracted as being equivalent to the rod plan view. The building information extraction unit 32 also acquires the floor number of each housing plan view data 11 from the subject (figure name).

Next, the information extraction part 26 calls the housing top view data 11 of the initial value f0 about the rank f among the extracted housing top view data 11 of all the floors (S28). For example, if the lowest floor is the first floor, an initial value f0 = 1 is set. If the lowest floor is the second basement floor, an initial value f0 = −2 is set. Next, the room structure information extraction unit 34 extracts a room candidate in the housing plan view data by image recognition (S30).

As shown in FIG. 4, since the room area is divided into walls, a plane (space) surrounded by the walls constitutes the room area. When a line segment indicating a wall or a window is traced (traced) and a closed polygon surrounded by the line is formed, the inside of the closed polygon becomes a room area.

In addition, many lines are described in the housing top view data of FIG. 4, and a closed polygon may be comprised also about what does not comprise room area | regions, such as a pillar and a stairs. Therefore, it is possible to extract a room in which a closed polygon has been formed once as a room candidate and further extract a room from among these candidates.

For example, if the perimeter of a closed polygon extracted as a room candidate is equal to or greater than a predetermined threshold, the room candidate is determined to be a room. As shown in FIG. 4, since the text information of the dimensions is described in the plan view of the box, the perimeter of the closed polygon can be acquired by recognizing the characters.

The room structure information extraction unit 34 character-recognizes the text information of the dimensions, acquires the dimensions of all the room candidates, and obtains the perimeter L of each room candidate (S32). A line segment (for example, the width of a stairway) whose dimension can not be grasped from the dimension text information of the housing plan view may be excluded from the room candidates by determining that its importance is low in design.

Furthermore, the room structure information extraction unit 34 determines, among all the room candidates from which the circumferential length L is derived, one having the circumferential length L of the predetermined threshold L0 or more as a room (S34). For example, when the perimeter of the closed polygon is 4 m (4000 mm) or more, the room candidate that constitutes the closed polygon is determined to be a room. Next, the room structure information extraction unit 34 obtains the area and shape (width × depth) of all the rooms based on the dimensions of the closed polygon determined to be a room (S36).

Next, the room name extraction unit 36 extracts all room names by character recognition (S38). For example, the text in the polygon that defines the room is character-recognized. When a plurality of texts are arranged in the polygon, characters including texts such as "room", "place", "storage", "hallway" are preferentially extracted and used as a room name.

Furthermore, the information extraction unit 26 determines whether or not the floor number of the housing plan view data 11 currently to be extracted is the top floor f = f_end (S40). If the top floor has not been reached, the floor number f is incremented (S42), and the process returns to step S30.

In the case where the floor number of the housing plan view data 11 to be extracted has reached the top floor f = f_end in step S40, the information extraction unit 26 obtains the total number of rooms across the entire floor (S44). Further, the information extraction unit 26 obtains a total floor area which is a total of floor areas over the entire floor (S46). The total floor area may be simply the sum of the areas of all the rooms.

Referring to FIG. 3, when analysis of housing plan view data 11 input to input unit 20 is completed in step S10, information extraction unit 26 next stores the past facility planes stored in drawing database 24. The same analysis is performed on the

figure data

13A, 13B, 13C,.

That is, the information extraction unit 26 calls facility plan view data of each floor of the building having the initial value 1 for the building (project) number k stored in the drawing database 24 (S12). Furthermore, the information extraction unit 26 extracts the room name, the total floor area, and the total number of rooms over the entire floor from the installation plan view data of each floor of the case k (= 1) (S14). This process is the same as the information extraction process of step S <b> 10 performed on the housing plan view data 11, so the description will be appropriately omitted here.

In addition, in step S14, since the structure information on the housing is extracted from the installation plan data, the room related data may be extracted after the installation related data is excluded from the installation plan data. For example, when the equipment plan view data is configured from CAD data, the room name may be extracted based on the housing layer and the dimension layer without displaying the equipment layer.

When the room name etc. is extracted in building units of the case k (= 1), the similar case extracting unit 28 determines that the building which is the source of the floor plan data 11 (hereinafter referred to as a pre-finished building as appropriate) The similarity with the building (hereinafter referred to as the building after completion as appropriate) of the facility plan view data 13 of the case k (= 1) is determined (S16).

The similarity determination is performed, for example, based on at least one of the type of room name, the total number of rooms, and the total floor area. From this point, the types of room names on all floors, the total number of rooms, and the total floor area function as similarity determination parameters that represent the frame structure of a building. For example, as the similarity determination parameter of the completed building is closer to the similarity determination parameter of the uncompleted building, the similar item extraction unit 28 gives the higher similarity to the completed building.

When the type of room name over the entire floor is used as the similarity determination parameter, the degree of similarity increases as the number of overlapping room names between the pre-completion building and the post-construction building increases. When the total number of rooms and the total floor area are used as the similarity determination parameters, the smaller the difference in numerical value between the building before completion and the building after completion, the higher the similarity.

After the similarity determination, the similar item extraction unit 28 determines whether the number k of the target buildings for the similarity determination has reached the end n (S18). If not reached, the number k is incremented (S20), and the process returns to step S14. In the case of k = n, the similarity to the pre-completion building is determined for all the buildings stored in the drawing database 24. The similar item extraction unit 28 causes the display unit 22 to display the building name of the building after completion and the equipment

plan view data

13A, 13B, 13C,... In a state of being sorted (sorted) in descending order of similarity (S22) S24).

In the display unit 22, as illustrated in FIG. 6, an item summary and room information for each similar item are displayed. In addition, the floor plan data of each floor is also displayed. The user of the building facility drawing preparation support system 10 can prepare the equipment floor plan of the building before completion with reference to the data of similar projects.

When the equipment plan view 13D of the case A, which is a building case before completion, is completed, the equipment drawing registration unit 30 stores the equipment plan view 13D in the drawing database 24.

In the above embodiment, the date of production may be acquired when character recognition of the title column is performed. For example, if the data is relatively old, there is a risk that drawings that do not correspond to recent regulations are extracted. Therefore, when extracting the installation plan data of the building after completion stored in the drawing database 24, only the data before the predetermined date from the current date may be extracted.

Further, in the above embodiment, as in steps S14 to S20 of FIG. 3, the similarity determination parameter is input every time the input of the floor plan data 11 is received for the installation floor plan data of the completed building stored in the drawing database 24. Although extracted, it is not limited to this form. For example, if the similarity determination parameter has already been extracted at the time of the previous entry of the housing plan view data 11, this may be stored in the drawing database 24 and called out each time.

Second Embodiment
In addition to the above-mentioned embodiment, the equipment installed in each room may be extracted for each equipment plan view stored in the drawing database 24. The functional block diagram of the building installation drawing preparation assistance system 10 which concerns on 2nd Embodiment is illustrated by FIG. The difference from FIG. 2 is that the equipment extraction unit 38 is provided. The configuration other than this is the same as that of FIG.

The installation device extraction unit 38 extracts the installation devices described in the installation plan view (hereinafter also referred to simply as the installation as appropriate). This equipment extraction process is performed, for example, during execution of step S14 in the flowchart of FIG. Specifically, after acquiring the room name and the room area on any floor of any case k, the facility on the floor is extracted.

An outline of facility equipment extraction is illustrated in FIG. The drawing database 24 includes a symbol library in which symbols (symbol graphic information) of various facilities are stored in advance. For example, FIG. 8 exemplifies an indoor unit symbol library in which

symbols

40A, 40B and 40C of indoor units of the air conditioning facility are stored. As shown in this example, a plurality of patterns of symbols may be stored for one facility device. The registration of the symbols in the symbol library may be performed, for example, by extracting an image corresponding to the facility by user operation in advance from several pieces of facility plan view data.

The equipment extraction unit 38 selects a predetermined symbol 40B from the symbol library, and extracts an image 42 matching the selected symbol 40B from the image data of the equipment plan view of the information extraction target by pattern matching.

As described above, recognition of a room, a room name, and a room area in a plan view of the equipment are obtained prior to the extraction of the equipment. The facility device extraction unit 38 extracts a room (conference room 1) in which the image 42 of the extracted facility is included, and associates the room with the image 42. That is, it is stored in the drawing database 24 that the indoor unit shown in the image 42 is installed in the conference room 1.

By such facility extraction, facilities are listed up for each room. The contents of each item are displayed on the display unit 22 as shown in FIG. The difference from FIG. 6 is that equipment information is added to room information. As shown in FIG. 9, the facilities installed in each room are shown in addition to the room area, the room shape, and the inner circumferential length. Thereby, the installation condition of the installation of each room becomes clear, and an installation plan can be easily created.

Third Embodiment
FIG. 10 illustrates a functional block diagram of the building installation drawing creation support system 10 according to the third embodiment. The difference from FIG. 7 is that the input unit 20 is divided into a drawing input unit 20A and a search condition input unit 20B. The other configuration is the same as that shown in FIG.

The drawing input unit 20A can input a plan view of a housing before completion. Further, the search condition input unit 20B can set the search condition when performing the similarity determination. For example, as described above, the similarity determination parameters include the room name, the total number of rooms, and the total floor area, but the user may use the search condition input unit 20B to use at least one of these parameters as the similarity determination parameter. It is possible to set from.

For example, according to the Building Standard Law, the number of emergency elevators installed is determined according to the total floor area. In such a case, only the total floor area is designated as the similarity determination parameter when installing the emergency elevator.

When importance is placed on the number of rooms, a specific number of rooms (for example, the number of rooms = 10) can be input from the search condition input unit 20B. At this time, equipment floor plan data of a building close to the input number of rooms is extracted.

Moreover, it is possible to perform weighting of each similarity determination parameter from the search condition input unit 20B. For example, if the priority is the number of rooms> total floor area> total room area, the similarity of the number of rooms is multiplied by the weighting factor α, the similarity of the total floor area is multiplied by the weighting factor β, and the similarity of the total room area is weighted The coefficient γ is multiplied, and the sum is taken as the similarity. Here, α> β> γ.

Fourth Embodiment
In the second embodiment, the facilities arranged in a predetermined room are listed up, but in addition to this, the image data of the plan view of the facilities of the building after completion of which facilities are arranged in the room You may ask from For example, as shown in FIG. 11, the room structure information extraction unit 34 takes an arbitrary point (for example, the lower left end point) of a line that divides a predetermined room (conference room 1) as an origin. Further, an arbitrary point (for example, the lower left end point) of a predetermined facility (the air conditioner 1 and the air conditioner 2) is taken as a representative point. Further, the coordinates (two-dimensional coordinates) of the representative point with respect to the origin are obtained based on the dimensions not shown in FIG. Thus, by finding the arrangement position of the equipment, it is possible to create a more efficient equipment plan view.

Fifth Embodiment
In the second embodiment, the facilities arranged for each room are listed, but it may be applied to compare the number of machines for each room name. As shown in FIG. 9, in the room information, a room name and equipment installed in the room are displayed. Using this, as shown in FIG. 12, the number of units by room name (the number per unit area) may be displayed as a histogram or the like for a predetermined facility.

DESCRIPTION OF SYMBOLS 10 building installation drawing creation support system, 11 frame top view data, 13 installation top view data, 16 CPU, 18 memory, 20 input part, 20A drawing input part, 20B search condition input part, 22 display part, 24 drawing database, 26 Information extraction unit, 28 similar project extraction unit, 30 facility drawing registration unit, 32 building information extraction unit, 34 room structure information extraction unit, 36 room name extraction unit, 38 facility equipment extraction unit, 40 symbols, 42 images.

Claims

A drawing database in which equipment plan data of each floor where equipment is laid in the frame of a building is stored,
When the floor plan data of each floor of the building is input, the similarity determination parameter based on the character and graphic information of the floor plan data is calculated in building units, and the equipment stored in the drawing database An information extraction unit that calculates, in a building unit, a similarity determination parameter based on character and graphic information of a box for plan view data;
A similar item for extracting a building whose casing structure is similar to the building from which the casing plan view data is based and the plan view data of the casing based on the plan view data of the casing and the similarity determination parameter of the plan view data of the fixture An extraction unit,
Building equipment drawing making support system equipped with.
It is a building installation drawing preparation support system according to claim 1,
The information extraction unit calculates, as the similarity determination parameter, at least one of the type of room name on the entire floor, the total number of rooms, and the total floor area among the frame structures of the frame plan data and the facility plan data. Building equipment drawing making support system.
It is a building installation drawing preparation support system according to claim 2,
The building equipment drawing preparation support system, wherein the similar case extracting unit gives a higher degree of similarity as the similarity judgment parameter with respect to the equipment plan data is closer to the similarity judgment parameter with respect to the housing plan data.
It is a building installation drawing preparation support system according to claim 3,
The building installation drawing preparation support system, wherein the information extraction unit extracts an installation based on symbol graphic information of the installation described in the installation plan data.
It is a building installation drawing preparation support system according to claim 4,
The building installation drawing preparation support system, wherein the information extraction unit determines an area surrounded by a line in the installation plan data as a room candidate.
It is a building installation drawing preparation support system according to claim 5,
The construction information drawing creation support system, wherein the information extraction unit determines that the room candidate is a room when the circumferential length of a line surrounding the room candidate is a predetermined threshold or more among the room candidates.
It is a building installation drawing preparation support system according to claim 6,
The building facility drawing preparation support system, wherein the information extraction unit lists up the facilities installed in the room by searching for symbol information of the facilities included in the area of the room.
It is a building installation drawing preparation support system according to claim 7, which is
The building installation drawing drawing assistance system provided with the input part which can select at least any one of the kind of room name of the said whole floor, the total number of rooms, and a total floor area as said similarity determination parameter.