JP2892994B2 - Architectural drawing recognition method - Google Patents

Architectural drawing recognition method

Info

Publication number
JP2892994B2
JP2892994B2 JP8274453A JP27445396A JP2892994B2 JP 2892994 B2 JP2892994 B2 JP 2892994B2 JP 8274453 A JP8274453 A JP 8274453A JP 27445396 A JP27445396 A JP 27445396A JP 2892994 B2 JP2892994 B2 JP 2892994B2
Authority
JP
Japan
Prior art keywords
symbol
room
area
recognizing
closed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Lifetime
Application number
JP8274453A
Other languages
Japanese (ja)
Other versions
JPH10124547A (en
Inventor
康浩 青木
昭夫 塩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nippon Telegraph and Telephone Corp
Original Assignee
Nippon Telegraph and Telephone Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nippon Telegraph and Telephone Corp filed Critical Nippon Telegraph and Telephone Corp
Priority to JP8274453A priority Critical patent/JP2892994B2/en
Publication of JPH10124547A publication Critical patent/JPH10124547A/en
Application granted granted Critical
Publication of JP2892994B2 publication Critical patent/JP2892994B2/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は,イメージスキャナ
等を介して入力される手書きまたは印刷された建築図面
から,図面に表記されている記号の意味と,部屋の属性
を自動的に認識する方法に関する。本発明は,図面の電
子化(CAD入力),部材費用の積算などを目的とする
各種建築関連システムへの自動入力手段として利用する
ことができる。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for automatically recognizing the meaning of symbols written in drawings and the attributes of rooms from handwritten or printed architectural drawings input via an image scanner or the like. About. INDUSTRIAL APPLICABILITY The present invention can be used as automatic input means to various building-related systems for the purpose of digitizing drawings (CAD input), estimating member costs, and the like.

【0002】[0002]

【従来の技術】手書きまたは印刷された建築図面を自動
認識する場合,図面を構成する線分をベクトルデータへ
変換する技術が利用されていた。しかし,壁,ドア,便
器,浴槽といった記号の持つ意味を認識する技術や,こ
れら記号に伴って便所や浴室といった部屋属性を認識す
る技術は存在していなかった。
2. Description of the Related Art When automatically recognizing a handwritten or printed architectural drawing, a technique of converting a line segment constituting the drawing into vector data has been used. However, there was no technology for recognizing the meaning of symbols such as walls, doors, toilets, and bathtubs, and no technology for recognizing room attributes such as toilets and bathrooms with these symbols.

【0003】このため,自動的にベクトル化をする従来
技術では,自動ベクトル化後に,利用者が全ての記号に
ついて再度,それぞれの記号を選択してその意味を付与
することが不可欠であり,図面入力コストの削減という
効果は不十分であった。
For this reason, in the prior art for automatically vectorizing, after automatic vectorization, it is indispensable for the user to select each symbol again and give its meaning to all symbols. The effect of reducing input costs was insufficient.

【0004】[0004]

【発明が解決しようとする課題】本発明は,従来の図面
認識技術を利用しても,図面入力には多大な時間がかか
ってしまうという上記の問題を解決し,入力すべき情報
の大部分を自動的に入力することにより,大幅な入力時
間削減を実現する新しい建築図面認識方法を提供するこ
とを目的とする。
SUMMARY OF THE INVENTION The present invention solves the above-mentioned problem that drawing input takes a lot of time even if conventional drawing recognition technology is used. An object of the present invention is to provide a new method of recognizing architectural drawings which realizes a great reduction in input time by automatically inputting the information.

【0005】[0005]

【課題を解決するための手段】上記課題を解決するため
に,本発明は,以下の手法を用いる。 (1)水平,垂直方向の線分情報から得られる閉領域と
間取りを表す記号の位置関係とから,基本的な閉領域の
統合を行いその部屋の境界位置を認識する。
To solve the above problems, the present invention uses the following method. (1) Based on the positional relationship between a closed area obtained from horizontal and vertical line segment information and a symbol indicating a layout, basic closed areas are integrated and the boundary position of the room is recognized.

【0006】(2)部屋領域に包含される閉図形情報の
中から,部屋に付帯する設備等を表す図形記号や線分記
号等の図面記号を求め,さらに図面記号等の情報から部
屋属性を決定して付与する。
(2) From the closed graphic information included in the room area, a drawing symbol such as a graphic symbol and a line segment symbol representing facilities attached to the room is obtained, and further, the room attribute is obtained from the information such as the drawing symbol. Determine and grant.

【0007】従来技術では,多くの閉図形の集まりから
なる建築間取り図から,いくつかの閉図形が含まれる部
屋領域の境界を認識することはできなかったが,本発明
によれば,水平,垂直方向の線分情報から得られる閉領
域と間取りを表す記号の位置関係とから,その部屋の境
界位置を認識することにより,部屋領域の正しい認識が
可能になる。
In the prior art, it was not possible to recognize the boundary of a room area including some closed figures from an architectural floor plan consisting of a collection of many closed figures. By recognizing the boundary position of the room from the closed area obtained from the vertical line segment information and the positional relationship between the symbols representing the layout, the room area can be correctly recognized.

【0008】また,従来,和室,キッチン,寝室,浴
室,玄関,廊下,…というような部屋の機能(部屋属
性)を自動認識することはできなかったが,本発明によ
れば,部屋領域に包含される閉図形情報の中から,部屋
に付帯する設備等を表す図面記号を求め,部屋領域ごと
の図面記号の情報をもとに,あらかじめ登録した建築知
識ベース等を用いて部屋属性を認識することが可能にな
る。
Conventionally, it has not been possible to automatically recognize room functions (room attributes) such as a Japanese-style room, a kitchen, a bedroom, a bathroom, an entrance, a corridor, etc. From the included closed figure information, find the drawing symbols representing the facilities attached to the room, and recognize the room attributes using the pre-registered architectural knowledge base, etc., based on the information of the drawing symbols for each room area. It becomes possible to do.

【0009】[0009]

【発明の実施の形態】本発明による建築図面認識方法
は,一般住宅の間取りを表す平面図,立面図などにおけ
る,キッチン,便所,風呂,洗面所,和室,寝室,居間
等の部屋領域と,キッチンセット,便器,浴槽,ベッド
等の部屋内部の記号要素の自動認識に利用可能である。
DESCRIPTION OF THE PREFERRED EMBODIMENTS The architectural drawing recognition method according to the present invention relates to a plan view, an elevation view, and the like showing a floor plan and an elevation view of a general house, and a room area such as a kitchen, a toilet, a bath, a toilet, a Japanese-style room, a bedroom, a living room, and the like. It can be used for automatic recognition of symbol elements inside a room, such as a kitchen set, a toilet bowl, a bathtub, and a bed.

【0010】以下に,建築間取り図面中の部屋領域と,
部屋の内部に表記された記号要素との自動認識に適用し
た本発明の実施の一形態を説明する。図10は,手書き
間取り図面の例を示す図である。建築間取り図面中の部
屋領域は,壁や建具(ドア,窓,引き戸等)を表す記号
(間取り記号)によって,隣接する部屋や外部と仕切ら
れている。また,その部屋領域内には,その部屋の付帯
設備(便器,ベッド,浴槽等)を表す記号(図形記号)
が表記されている。
[0010] The following describes the room area in the architectural floor plan,
An embodiment of the present invention applied to automatic recognition of a symbol element written inside a room will be described. FIG. 10 is a diagram illustrating an example of a handwritten floor plan. The room area in the architectural floor plan is separated from an adjacent room and the outside by a sign (floor sign) representing a wall or a fitting (a door, a window, a sliding door, etc.). Also, within the room area, a symbol (graphic symbol) representing the auxiliary equipment (toilet, bed, bathtub, etc.) of the room
Is written.

【0011】本発明では,図10に示すような手書き間
取り図面または印刷された図面から,部屋毎の輪郭線情
報と付帯設備情報とを認識し,さらに,これらの情報を
もとに部屋機能(キッチン,浴室等)を認識する。
In the present invention, the outline information and auxiliary equipment information for each room are recognized from the handwritten floor plan or the printed drawing as shown in FIG. Kitchen, bathroom, etc.).

【0012】図11は,本発明を適用して図10の手書
き間取り図面から得た認識結果の例を示している。図1
は,本発明の処理手順説明図である。
FIG. 11 shows an example of recognition results obtained from the handwritten floor plan of FIG. 10 by applying the present invention. FIG.
FIG. 4 is an explanatory diagram of a processing procedure of the present invention.

【0013】図中,1はCPUやメモリ等からなる本発
明を実施するための建築図面認識装置,2はイメージス
キャナ等の図面入力装置である。部屋領域認識処理10
は,壁,建具等で仕切られる部屋領域の輪郭線情報を求
める処理,図面記号認識処理20は,部屋領域内部にあ
る単数もしくは複数の図形から構成されている記号領域
を求める処理,部屋機能認識処理30は,部屋領域にそ
の属性を付与する処理である。
In FIG. 1, reference numeral 1 denotes an architectural drawing recognizing device comprising a CPU, a memory, and the like for implementing the present invention, and 2 denotes a drawing input device such as an image scanner. Room area recognition processing 10
Is a process for obtaining contour line information of a room region partitioned by walls, fittings, etc., and a drawing symbol recognition process 20 is a process for obtaining a symbol region composed of one or more figures inside the room region, and a room function recognition. The process 30 is a process of giving the attribute to the room area.

【0014】〔1〕部屋領域認識処理 部屋領域認識処理10では,基本領域抽出11と部屋領
域統合12とを行っている。
[1] Room Area Recognition Processing In the room area recognition processing 10, a basic area extraction 11 and a room area integration 12 are performed.

【0015】(1)基本領域抽出 基本領域抽出11では,図面中の水平,垂直方向に書か
れている線分に着目し,該線分によって囲まれた閉領域
を抽出する。具体的には,特願平7−302367号
「図面閉領域の抽出方法」などを利用する。この方法
は,ドロップアウト・カラーなどで記されたグリッド線
を持つ図面作成用紙等を用いて手書きされた建築間取り
図面から閉領域を抽出するものである。
(1) Extraction of basic region In the extraction of basic region 11, attention is paid to line segments written in the horizontal and vertical directions in the drawing, and a closed region surrounded by the line segments is extracted. Specifically, Japanese Patent Application No. 7-302367 “Extraction Method of Drawing Closed Region” is used. In this method, a closed area is extracted from an architectural floor plan drawn by hand using a drawing sheet having grid lines described in a dropout color or the like.

【0016】この図面作成用紙は,ドロップアウト・カ
ラーで記されたグリッド線の他に,ドロップアウトされ
ない異なる色で記された用紙の表裏の区別,用紙および
グリッド線の位置,用紙の傾き等を検出するための少な
くとも2個の判定マークを備えている。なお,このよう
な図面作成用紙を用いずに,印刷された建築間取り図面
について閉領域を抽出することももちろん可能である。
This drawing preparation paper is used to determine not only the grid lines described in the dropout color, but also the distinction between the front and back sides of the paper written in different colors that are not dropped out, the positions of the paper and the grid lines, the inclination of the paper, and the like. It has at least two determination marks for detection. In addition, it is of course possible to extract a closed region from a printed architectural floor plan without using such a drawing sheet.

【0017】初めに,これらの建築間取り図面からイメ
ージスキャナ等を介してイメージデータ(ラスタデー
タ)を得て,このイメージデータをもとに,各グリッド
交点の複数方向の線分の有無を検出し,線分のグリッド
交点におけるパターンの情報である交差点情報(水平,
垂直成分)を抽出する。各グリッド交点の線分の有無に
応じてグリッド交点の状態パターンを決定し,パターン
マップを生成する。
First, image data (raster data) is obtained from the floor plan of the building via an image scanner or the like, and based on the image data, the presence or absence of a line segment in each direction at each grid intersection is detected. , Intersection information (horizontal,
Vertical component). A state pattern of the grid intersection is determined according to the presence or absence of a line segment at each grid intersection, and a pattern map is generated.

【0018】続いて,生成したパターンマップにおける
グリッド交点の状態パターンから,所定の経路探索方向
の優先順位に基づき閉領域の輪郭となる経路を順次探索
し,開始点に到達した経路を閉領域として抽出する。こ
れら閉領域を基本領域情報とする。
Subsequently, from the state pattern of the grid intersections in the generated pattern map, routes which are contours of the closed region are sequentially searched based on the priority of a predetermined route search direction, and the route which has reached the start point is defined as a closed region. Extract. These closed areas are used as basic area information.

【0019】図2(A)は,イメージスキャナで読み取
った建築間取り図面のイメージデータの例を示す図であ
る。前述の処理により,このイメージデータから,図2
(B)に示すような交差点情報を抽出し,さらに図2
(C)に示すような基本領域情報(閉領域)を抽出す
る。
FIG. 2A is a diagram showing an example of image data of a floor plan of a building read by an image scanner. According to the above-described processing, the image data shown in FIG.
The intersection information as shown in FIG.
The basic area information (closed area) as shown in (C) is extracted.

【0020】このような図面閉領域の抽出方法を用いれ
ば,領域を抽出する際に雑音となる開き戸などの記号か
らの影響を受けずに閉領域を抽出することができる。こ
の方法に比べ,図3に示すように,全ての線分を区別な
く追跡して閉領域を抽出する手法では,部屋と思われる
領域がドアや設備の記号によって分割されてしまうた
め,部屋の抽出方法としては好ましくない。
By using such a method for extracting a closed region of a drawing, it is possible to extract a closed region without being affected by symbols such as a hinged door which becomes noise when extracting a region. Compared to this method, as shown in FIG. 3, in the method of extracting a closed region by tracing all line segments without distinguishing each other, a region considered to be a room is divided by doors and equipment symbols. It is not preferable as an extraction method.

【0021】(2)部屋領域統合 部屋領域統合12では,基本領域抽出11で得られた基
本領域情報と,建築間取り図面から壁,引き戸などの間
取り記号情報を抽出し,これら基本領域情報と間取り記
号情報とを利用して隣接する基本領域の統合を行う。
(2) Room area integration In the room area integration 12, the basic area information obtained in the basic area extraction 11 and the floor sign information such as walls and sliding doors are extracted from the architectural floor plan, and the basic area information and the floor plan are extracted. Integration of adjacent basic areas is performed using the symbol information.

【0022】図4は,抽出する間取り記号の例を示す図
である。間取り記号として,壁,引き戸,一般開口,開
き戸,両開き戸,折れ戸などがある。建築間取り図面か
ら間取り記号を抽出する手法としては,例えば,特願平
7−112729号「図面認識方法」で提案されている
方法などを利用することができる。
FIG. 4 is a diagram showing an example of a layout symbol to be extracted. The floor plan symbols include walls, sliding doors, general openings, hinged doors, double swing doors, folding doors, and the like. As a method for extracting a floor plan symbol from a building floor plan, for example, a method proposed in Japanese Patent Application No. 7-112729 “drawing recognition method” can be used.

【0023】この図面認識方法による間取り記号の認識
では,入力されたイメージデータのグリッド線に沿っ
て,走査用マスクを移動させることにより視野領域を移
動させ,各視野領域ごとに判定用の特徴量を求め,視野
領域ごとに求めた特徴量に基づいてグリッド線上の線の
数および各線の太さを判定し,その判定結果から間取り
記号を認識する。これにより,手書き特有の線の位置ず
れや雑音等の影響を受けにくい自動認識処理が行なえ
る。
In recognition of a floor plan symbol by this drawing recognition method, a visual field is moved by moving a scanning mask along a grid line of input image data, and a characteristic amount for determination is determined for each visual field. Is determined, the number of lines on the grid line and the thickness of each line are determined based on the feature amount determined for each visual field region, and the layout symbol is recognized from the determination result. This makes it possible to perform automatic recognition processing that is less susceptible to handwriting-specific line displacement, noise, and the like.

【0024】続いて,部屋領域の統合を行う。図5は,
部屋領域の統合の処理を説明する図である。図5におい
て,スキャナを介して建築間取り図面(イメージデー
タ)が入力される()。これから基本領域情報を抽出
し(),間取り記号情報を抽出する()。なお,間
取り記号の認識処理の結果,間取り記号には,始点,終
点,間取り記号の属性(壁,引き戸などの区別)が与え
られる。
Subsequently, room areas are integrated. FIG.
It is a figure explaining the process of integration of a room area. In FIG. 5, a building floor plan (image data) is input via a scanner (). From this, the basic area information is extracted (), and the layout symbol information is extracted (). In addition, as a result of the recognition process of the layout symbol, the layout symbol is given a start point, an end point, and the attribute of the layout symbol (discrimination of a wall, a sliding door, and the like).

【0025】間取り記号情報のうち,基本領域情報の輪
郭線上に重なるものを全て選択する()。ここでは,
基本領域の輪郭線と間取り記号とが重なる部分を二重線
で示し,重ならない部分を点線で示す。
From the layout symbol information, all the information overlapping the outline of the basic area information are selected (). here,
The part where the outline of the basic area overlaps with the floor plan symbol is indicated by a double line, and the part where it does not overlap is indicated by a dotted line.

【0026】間取り記号と重ならない基本領域の輪郭線
の部分(点線部分)が一定の許容値を超えるかどうかを
チェックする。その結果,間取り記号と重ならない基本
領域の輪郭線部分がない場合,もしくは,間取り記号と
重ならない基本領域の輪郭線部分が全て許容値以内の場
合には,その閉領域の情報を部屋領域として登録する。
It is checked whether or not the outline portion (dotted line portion) of the basic area which does not overlap with the floor plan symbol exceeds a certain allowable value. As a result, when there is no outline part of the basic area that does not overlap with the floor plan symbol, or when all the outline parts of the basic area that do not overlap the floor plan sign are within the allowable value, the information of the closed area is used as the room area. sign up.

【0027】一方,間取り記号と重ならない基本領域の
輪郭線の部分が許容値を超える場合には,この基本領域
の重ならない部分を共通の輪郭線として持つような別の
隣接する閉領域と,輪郭線上のチェックを行っていた閉
領域とを統合して1つの閉領域とする(,)。
On the other hand, when the contour portion of the basic region that does not overlap with the floor plan symbol exceeds the allowable value, another adjacent closed region having the non-overlapping portion of the basic region as a common contour line, The closed area that has been checked on the contour is integrated into one closed area (,).

【0028】統合した閉領域における新たに加わった閉
領域の輪郭線の部分について,再び,閉領域の輪郭線と
間取り記号とが重なるかどうかをチェックし,新たに加
わった閉領域の輪郭線の部分が,部屋領域の境界となり
うるかどうか,同様の判断をする。このような部屋領域
統合を,基本領域の全ての輪郭線が部屋領域の境界とみ
なされるまで繰り返す。以上の処理を,全ての閉領域に
対して行い,図面中から部屋領域を抽出する()。
It is checked again whether or not the outline of the newly added closed area and the layout symbol overlap with each other with respect to the outline of the newly added closed area in the integrated closed area. A similar determination is made as to whether the part can be a boundary of the room area. Such room area integration is repeated until all contour lines of the basic area are regarded as boundaries of the room area. The above processing is performed on all the closed areas, and the room area is extracted from the drawing ().

【0029】基本領域抽出11では,水平・垂直線分で
構成される畳のような図形要素も,それぞれ基本領域
(閉領域)として抽出されるが,部屋領域統合12によ
り,畳要素は全て統合され,1つの部屋領域(ここでは
和室領域)が認識されることになる。
In the basic area extraction 11, graphic elements such as tatami mats composed of horizontal and vertical line segments are also extracted as basic areas (closed areas). Thus, one room area (here, a Japanese room area) is recognized.

【0030】図6は,部屋領域認識処理の処理フローチ
ャートである。なお,図6中の〜の数字は,図5中
に示す〜と対応する。建築間取り図面が入力される
と(),基本領域を抽出するとともに(),間取り
記号を認識する()。
FIG. 6 is a processing flowchart of the room area recognition processing. Note that the numbers in FIG. 6 correspond to those in FIG. When the architectural floor plan is input (), the basic area is extracted (), and the floor plan symbol is recognized ().

【0031】次に,基本領域の輪郭線と間取り記号の重
なりの長さをチェックし,重なりの長さが許容範囲かど
うかを判定し,重なりの長さが許容範囲内である場合に
は,その基本領域を部屋領域と確定し,重なりの長さが
許容範囲内でない場合には,該重なり部分を部屋領域の
境界とする()。
Next, the length of the overlap between the outline of the basic area and the layout symbol is checked, and it is determined whether or not the overlap length is within the allowable range. If the overlap length is within the allowable range, The basic region is determined as a room region, and if the length of the overlap is not within the allowable range, the overlap portion is set as the boundary of the room region ().

【0032】次に,重ならない部分の輪郭線と他の基本
領域の輪郭線とが重なるかどうかをチェックする
()。この結果,重なりが存在するかどうかを判定
し,重なりが存在しない場合には,さらに他の基本領域
との間で,輪郭線が重なるかどうかをチェックする。
Next, it is checked whether or not the contour line of the non-overlapping portion and the contour line of the other basic area overlap. As a result, it is determined whether or not there is an overlap. If no overlap exists, it is checked whether or not the contour lines overlap with another basic area.

【0033】重なりが存在する場合には,2つの基本領
域を併合し(部屋領域統合),新たに加わった輪郭線が
間取り記号かどうかを判断する。新たに加わった輪郭線
が間取り記号であれば,その輪郭線を部屋領域の境界と
みなし,部屋領域を確定する()。ここで,新たに加
わった輪郭線が間取り記号でなければ,その新たに加わ
った輪郭線部分について,上記以降の処理を繰り返
す。
If there is an overlap, the two basic areas are merged (room area integration), and it is determined whether or not the newly added contour is a layout symbol. If the newly added outline is a layout symbol, the outline is regarded as a boundary of the room area, and the room area is determined (). Here, if the newly added contour is not a layout symbol, the above-mentioned processing and subsequent steps are repeated for the newly added contour.

【0034】〔2〕図面記号認識処理 図面記号認識処理20は,記号候補抽出21と建築知識
照合22で構成されている。
[2] Drawing Symbol Recognition Processing The drawing symbol recognition processing 20 includes symbol candidate extraction 21 and building knowledge collation 22.

【0035】(1)記号候補抽出 記号候補抽出21では,図7に示すように,部屋領域ご
とにその領域内に存在する閉図形を抽出する。閉図形
は,線分で囲まれた閉領域であり,かつ,あらかじめ登
録してある図形の形状とテンプレートマッチング処理に
より一致する領域である。
(1) Symbol Candidate Extraction In the symbol candidate extraction 21, as shown in FIG. 7, a closed figure existing in each room area is extracted. A closed figure is a closed area surrounded by line segments and an area that matches the shape of a figure registered in advance by template matching processing.

【0036】テンプレートマッチング処理の具体例とし
ては,特願平7−258366号「図面認識方法」に提
案されている手法などがある。この方法では,閉領域の
辞書データと,複数の閉領域からなる複合領域に関する
閉領域相互の位置関係データとを予め登録しておき,閉
領域を認識する場合に,まず図面から閉領域を検出し,
検出された閉領域と,前記登録された閉領域の辞書デー
タとのパターンマッチングを行い,検出された閉領域が
登録された閉領域の辞書データと一致した場合には,続
いて前記登録された閉領域相互の位置関係データを参照
して,当該検出された閉領域に対し,該参照した位置関
係データから存在が予測される位置に予測されるパター
ンをもつ閉領域を探して,複数の閉領域により構成され
る複合領域を自動的に認識する。
As a specific example of the template matching process, there is a method proposed in Japanese Patent Application No. 7-258366 "Drawing Recognition Method". In this method, dictionary data of a closed region and positional relationship data between the closed regions with respect to a composite region including a plurality of closed regions are registered in advance, and when the closed region is recognized, the closed region is first detected from a drawing. And
Pattern matching is performed between the detected closed area and the dictionary data of the registered closed area. When the detected closed area matches the dictionary data of the registered closed area, the registered closed area is subsequently registered. With reference to the positional relationship data between the closed regions, the detected closed region is searched for a closed region having a pattern predicted at the position where the presence is predicted from the referenced positional relationship data, and a plurality of closed regions are searched. A composite area composed of areas is automatically recognized.

【0037】(2)建築知識照合 建築知識照合22では,各部屋領域毎に抽出された閉図
形の形状,縦,横,面積等のサイズ,他の閉図形との位
置関係等が,建築知識として予め登録してあるキッチン
セット,便器,浴槽,ベッド等の図面記号と一致するも
のがあるかどうかのチェックを行う。
(2) Architectural Knowledge Verification In the architectural knowledge verification 22, the shape of the closed figure extracted for each room area, the size such as length, width, and area, the positional relationship with other closed figures, and the like are determined. It is checked whether or not there is a kitchen set, a toilet, a bathtub, a bed, or the like that is registered in advance as a drawing symbol.

【0038】具体的には,前述した特願平7−2583
66号「図面認識方法」などの方法により,閉図形の形
状,大きさ,領域相互の隣接関係を用いて,階段,収納
等の図面記号の認識を行う。
More specifically, the above-mentioned Japanese Patent Application No. 7-2583 is disclosed.
Using a method such as No. 66 “Drawing Recognition Method” or the like, drawing symbols such as stairs and storage are recognized using the shape, size, and adjacent relationship between regions of a closed figure.

【0039】また,キッチンセットや浴槽等の部屋の付
帯設備を示す図形記号は,閉図形相互が包含関係となっ
ているケースも多く,その特徴を利用した認識を以下の
ように行う。
In many cases, graphic symbols indicating incidental facilities of a room such as a kitchen set and a bathtub have a closed relationship with each other, and recognition using the characteristics is performed as follows.

【0040】例えば,キッチンセットを表す記号は,図
8に示すように,輪郭を表す閉図形に,コンロを表す閉
図形とシンクを表す閉図形とを包含した形状として認識
する。この記号は一般に使われる建築間取り図面におい
て使用されている記号パターンである。コンロを示す円
状の閉図形およびシンクを表す四角状の閉図形と,輪郭
を表す矩形の閉図形との包含関係と,各閉図形ごとのサ
イズおよび閉図形間の位置や距離のチェックを行うこと
によって,キッチンセットを認識することができる。
For example, as shown in FIG. 8, a symbol representing a kitchen set is recognized as a shape that includes a closed figure representing a stove and a closed figure representing a sink in a closed figure representing an outline. This symbol is a symbol pattern used in commonly used architectural floor plans. Checks the inclusion relationship between a circular closed figure representing a stove, a square closed figure representing a sink, and a rectangular closed figure representing an outline, as well as the size of each closed figure and the position and distance between the closed figures. Thus, the kitchen set can be recognized.

【0041】〔3〕部屋機能認識処理 部屋機能認識処理30は,部屋機能認識31を行ってい
る。部屋機能認識31では,図面記号認識処理20によ
り得られた図面記号,または間取り記号の中から,その
存在により部屋の機能が決まるものを選択し,その記号
を包含する該部屋領域に該当する部屋属性を付与する。
[3] Room Function Recognition Processing Room function recognition processing 30 performs room function recognition 31. In the room function recognition 31, from among the drawing symbols obtained from the drawing symbol recognition processing 20 or the layout symbols, those whose function is determined by the existence of the room are selected, and the room corresponding to the room region including the symbol is selected. Assign attributes.

【0042】図9は,部屋機能認識の説明図であり,一
般に使われる建築間取り図面において使用されている図
形記号パターンおよびその記号により付与する部屋の属
性の例を示している。
FIG. 9 is an explanatory diagram of room function recognition, showing examples of graphic symbol patterns used in commonly used architectural floor plans and room attributes given by the symbols.

【0043】本実施の形態では,図面記号から部屋属性
を決定している例として,キッチンセット記号からキッ
チン,浴槽記号から浴室,便器記号からトイレ,洗面化
粧台から洗面所,畳記号から和室,ベッド記号から寝
室,上がり框記号から玄関と廊下等を認識している。
In the present embodiment, as examples of determining room attributes from drawing symbols, kitchen set symbols indicate kitchens, bathtub symbols indicate bathrooms, toilet bowl symbols indicate toilets, vanity tables indicate washrooms, tatami symbols indicate Japanese-style rooms, The bedroom symbol is recognized from the bed symbol, and the entrance and corridor are recognized from the rising frame symbol.

【0044】なお,上がり框記号から玄関または廊下を
認識する場合には,以下の建築知識も利用している。例
えば図11の図面に示されるように,上がり框と接する
部屋領域であり,かつ,その部屋領域が外領域と接して
いる(すなわち,間取り図面において,最も外側の境界
線を含んでいる)場合には,その部屋領域を玄関とし,
上がり框を挟んで,玄関とされた部屋領域の反対側の領
域を廊下とする。
The following architectural knowledge is used when recognizing an entrance or a corridor from an upward frame symbol. For example, as shown in the drawing of FIG. 11, when the room area is in contact with the rising frame and the room area is in contact with the outside area (that is, when the floor plan includes the outermost boundary line). Makes the room area the entrance,
The corridor is the area opposite the room area, which is the entrance, with the rising frame interposed.

【0045】[0045]

【発明の効果】本発明により,ビットパターン化した間
取り図面から寝室や畳部屋等を自動的に検出することが
できる。この結果,部屋数,浴室の有無等の情報が明ら
かになるので,これらの情報を別に構築された積算シス
テムに入力することにより,間取り図面から住宅の見積
りを行うことが可能になる等の応用が考えられる。
According to the present invention, a bedroom, a tatami room, and the like can be automatically detected from a floor plan of a bit pattern. As a result, information such as the number of rooms and the presence or absence of a bathroom is clarified. By inputting such information into a separately built integration system, it becomes possible to estimate the house from the floor plan. Can be considered.

【0046】以上のように,本発明によれば,これまで
の図面入力コストの大幅低減による人件費削減と,デー
タを電子化(CADデータへの変換)する処理時間の短
縮により,経費面での優位性を確立することができる。
As described above, according to the present invention, labor costs can be reduced by greatly reducing the drawing input cost, and the processing time for digitizing data (conversion to CAD data) can be shortened. Can establish an advantage.

【図面の簡単な説明】[Brief description of the drawings]

【図1】本発明の処理手順説明図である。FIG. 1 is an explanatory diagram of a processing procedure of the present invention.

【図2】基本領域抽出を説明する図である。FIG. 2 is a diagram illustrating basic region extraction.

【図3】すべての線分を追跡する閉領域抽出処理を示す
図である。
FIG. 3 is a diagram showing a closed region extraction process for tracking all line segments.

【図4】間取り記号の例を示す図である。FIG. 4 is a diagram illustrating an example of a floor plan symbol.

【図5】部屋領域統合を説明する図である。FIG. 5 is a diagram illustrating room area integration.

【図6】部屋領域認識処理の処理フローチャートであ
る。
FIG. 6 is a processing flowchart of a room area recognition process.

【図7】記号候補抽出を説明する図である。FIG. 7 is a diagram illustrating symbol candidate extraction.

【図8】建築知識照合を説明する図である。FIG. 8 is a diagram illustrating architectural knowledge collation.

【図9】部屋機能認識を説明する図である。FIG. 9 is a diagram illustrating room function recognition.

【図10】処理対象となる手書き間取り図面の例を示す
図である。
FIG. 10 is a diagram illustrating an example of a handwritten floor plan to be processed;

【図11】図10に示す手書き間取り図面の認識結果を
示す図である。
11 is a diagram showing a recognition result of the handwritten floor plan shown in FIG. 10;

【符号の説明】[Explanation of symbols]

1 建築図面認識装置 2 図面入力装置 10 部屋領域認識処理 11 基本領域抽出 12 部屋領域統合 20 図面記号認識処理 21 記号候補抽出 22 建築知識照合 30 部屋機能認識処理 31 部屋機能認識 DESCRIPTION OF SYMBOLS 1 Architectural drawing recognition apparatus 2 Drawing input apparatus 10 Room area recognition processing 11 Basic area extraction 12 Room area integration 20 Drawing symbol recognition processing 21 Symbol candidate extraction 22 Building knowledge collation 30 Room function recognition processing 31 Room function recognition

Claims (4)

(57)【特許請求の範囲】(57) [Claims] 【請求項1】 図面入力装置により入力した建築図面情
報の中から,該図面に存在する部屋領域を認識する方法
であって,前記図面情報中の水平,垂直方向の線分に囲
まれた閉領域を基本領域として認識する第1の過程と,
該図面中の間取り記号を認識する第2の過程と,前記認
識された水平,垂直方向の線分に囲まれた閉領域と前記
認識された間取り記号の重なりを検出し,重なりがある
場合には該重なりを部屋領域の境界とし,重なりがない
場合には,他の基本領域との間で共通の輪郭線の有無を
検出し,その結果,共通の輪郭線が存在する場合に,基
本領域を統合するとともに新たに追加された基本領域の
輪郭線が間取り記号であるかをチェックする第3の過程
とを有し,統合した基本領域の輪郭線のすべてが部屋領
域の境界とみなされるまで,前記第3の過程を繰り返し
て部屋領域を統合することを特徴とする建築図面認識方
法。
1. A method for recognizing a room area existing in a drawing from architectural drawing information input by a drawing input device, comprising: a closed area surrounded by horizontal and vertical line segments in the drawing information. A first process of recognizing a region as a basic region;
A second step of recognizing the floor plan symbol in the drawing, and detecting an overlap between the recognized closed area surrounded by the horizontal and vertical line segments and the recognized floor plan symbol. Sets the overlap as the boundary of the room area, and if there is no overlap, detects the presence or absence of a common contour line with another basic area. As a result, if a common contour line exists, And checking whether the outline of the newly added basic region is a floor plan symbol, until all of the outlines of the integrated basic region are regarded as boundaries of the room region. And a method for recognizing an architectural drawing, wherein the third step is repeated to integrate room areas.
【請求項2】 請求項1記載の方法で実現される部屋領
域を統合する過程と,該統合された部屋領域の内部の図
面記号を認識する過程と,該認識された図面記号をキー
として,図面記号と図面記号に対応した部屋領域の属性
を与える属性データを検索する過程と,検索結果に基づ
いて部屋領域の属性を決定する過程とを有することを特
徴とする建築図面認識方法。
2. A step of integrating room areas realized by the method according to claim 1, a step of recognizing a drawing symbol inside the integrated room area, and using the recognized drawing symbol as a key. A method for recognizing an architectural drawing, comprising: a step of searching for attribute data that gives a drawing symbol and an attribute of a room area corresponding to the drawing symbol; and a step of determining an attribute of the room area based on a search result.
【請求項3】 前記図面記号を認識する過程が,予め登
録してある形状パターンと形状が適合する複数の閉領域
が相互に包含関係の位置関係であることと,該領域それ
ぞれの縦,横,面積に関わる情報が予め登録している値
の範囲であることにより図面記号を認識する過程である
ことを特徴とする請求項2記載の建築図面認識方法。
3. A process for recognizing a drawing symbol includes determining that a plurality of closed regions having a shape conforming to a previously registered shape pattern are in a positional relationship of an inclusion relationship to each other, 3. The architectural drawing recognition method according to claim 2, wherein the step of recognizing the drawing symbol is based on the fact that the information relating to the area is within a range of values registered in advance.
【請求項4】 建築図面特有の二重線等の線分で表現さ
れる上がり框等の特定の記号を基に,該記号と接する部
屋領域に,玄関,廊下等の特定の部屋領域であることを
示す属性を付与することを特徴とする請求項1ないし請
求項3のいずれかに記載の建築図面認識方法。
4. A specific room area such as an entrance, a corridor, etc., based on a specific symbol such as a rising frame represented by a line segment such as a double line peculiar to an architectural drawing. The architectural drawing recognition method according to any one of claims 1 to 3, wherein an attribute indicating is provided.
JP8274453A 1996-10-17 1996-10-17 Architectural drawing recognition method Expired - Lifetime JP2892994B2 (en)

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Application Number Priority Date Filing Date Title
JP8274453A JP2892994B2 (en) 1996-10-17 1996-10-17 Architectural drawing recognition method

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Country Status (1)

Country Link
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