JPS62196779A - Drawing recognizing device - Google Patents

Abstract

PURPOSE:To make network recognition possible at high speed and at high reliability by providing a triangular area short vector forming device to recognize the direction and number of line segments that come out from a symbol after the result of symbol recognition. CONSTITUTION:An objective drawing such as a power distribution diagram, etc., is read by a drawing reader 3, and then symbol recognition is made by a CPU 1 and an image processor 2. To recognize the number and direction of branches that come out from the symbol around the result of symbol recognition, branches that come out from the symbol are made to short vector by a triangular area short vector forming device 7. Original picture data are divided at equal angles around coordinate of the result of symbol recognition and triangular areas T are cut out L10. Then, sample parallel lines are drawn from the center parallel to the base of an isosceles triangle and made to fine lines and to point train on the sample parallel lines as L3, and the coordinate of the point train is found. Then, the point train is connected by the sampling point train data and made to short vector L4, and the group of short vectors are made to long vector L5, and the direction and number of line segments are determined.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a drawing recognition device for recognizing a network of electric wires or utility poles drawn on a drawing such as a power distribution drawing.

[Conventional technology]

Figure 6 is a hardware configuration diagram for performing network recognition in a conventional drawing recognition device. In the figure, 1 is a CPU that recognizes drawings, 2 is an image processing device that performs high-speed image processing, and 3 is a drawing reader. Device, 4 is electrostatic block, 5
6 is a large capacity disk device, and 6 is a graphic CRT.

Next, the operation will be explained. First, FIG. 7 shows a processing flow of a conventional network recognition device.

The drawings to be recognized here are network diagrams composed of nodes and branches as shown in FIG. 8, such as power distribution line diagrams and gas piping diagrams.

The drawings drawn as symbol diagrams in this way are read by the drawing reading device 3.
(ST-1). Next, the CPU 1 and the high-speed image processing device recognize the X and Y position coordinates and symbol type of the symbol corresponding to the node (ST-2). After the result of the symbol recognition, patent-type original image data characterized by symbol coordinates is cut out from the original image data of one drawing for all the recognized symbols as shown in the enlarged view of FIG. 9 (ST-3). Figure 9). Next, the original picture cut out (1st O
As shown in FIG. 10(B), a histogram is measured in l constant angle units around the symbol (0 to 360°) (ST-4). Next, based on the actual measurement results, determine the number and direction of networks (branches) coming out of the symbol (ST-5) (see Figure 10 (C))
. The number and direction of branches coming out from the symbol thus determined are determined, and from a certain base point, on the direction of branches coming out from that symbol, the nearest opponent symbol has a branch direction in the opposite direction coming out from the opponent symbol. , it is recognized that there is a network between the above two points (ST
-6) (Figure 11). Such a search is performed for all symbols to recognize the map-autumn equinox network.

[Problems to be Solved by the Invention] Since the conventional drawing recognition device is configured as described above, it is necessary to cut out nearby images across all symbols and create a histogram around the symbol coordinates. [
- There was a problem that it took a lot of time to measure the direction of the workpiece.

This invention was made in order to solve the above-mentioned problems, and for each triangular area that is equally divided at a certain angle around a certain reference point, the line segments coming from the reference point within the area are converted into short vectors. The purpose of this invention is to obtain a drawing recognition device that speeds up network recognition by using a high-speed vectorization device.

[Means for solving problems]

The drawing recognition device according to the present invention cuts out an original drawing of a triangular area that is equally divided around the reference point at a certain angle in order to recognize a line segment coming out from around a certain reference point, and then It is designed to convert outward line segments into short vectors.

[For production]

The drawing recognition device according to the present invention uses a triangular area short vectorization device to shorten branches where symbols occur, and then combines the short vectors to make long vectors to determine the direction and number of line segments.

〔Example〕

An embodiment of the present invention will be described below with reference to the drawings. In FIG. 1, the same parts as in FIG. 6 are shown with the same reference numerals, and 7 is a triangular area shortening vectorization device. Further, FIG. 3 is a functional block diagram of the triangular area shortening vectorization device.

Next, the operation will be explained. First, a target drawing such as a power distribution drawing is read by the drawing reading device 3 (ST-IA). Next, symbol recognition is performed by the CPU 1 and the image processing device 2 (ST-2A). In the present invention, in order to recognize the number and direction of branches emanating from the symbol around the symbol recognition result, the branches emanating from the symbol are converted into short vectors by the triangular area short vectorization device 7 (8T-3A
).

The processing procedure for shortening vectors is shown in FIGS. 4(A) to 4(D)K. Angle Ll (
Figure 4(A)). Next, draw a sample parallel line from the center parallel to the base of the isosceles triangle (Fig. 4 (B)), and make the sample parallel line thinner and dotted as shown at L8 (Fig. 4 (C)).
), find the coordinates of the point sequence. Next, the point sequence is connected using this sampling point sequence data to shorten the vector L4 (FIG. 4(C)). Next, the short vector group is converted into a long vector L5 L as shown in Fig. 5, and the direction and number of line segments are determined (
ST-4A) and (Fig. 5(A)). Next, a network search is performed for all symbols using the same method as in the conventional device (ST-5A).

A flowchart of the network recognition method according to the present invention is shown in FIG.

In addition, in the above example, an application example of network recognition for electrical distribution drawings and gas/water pipe diagrams was shown, but the same method can be applied to network recognition for railway route maps, communication system diagrams, etc. be effective.

〔Effect of the invention〕

As described above, according to the present invention, the direction and number of line segments emanating from a symbol after symbol recognition results are determined by AA:, for J
-1L regret 1r-AXI ψII Funi +- dispute A l
-/l-→Shichikei- setting has the advantage that network recognition can be performed at high speed and with high reliability.

[Brief explanation of drawings]

FIG. 1 is a hardware configuration diagram of the network recognition device of the present invention, FIG. 2 is a network recognition processing flowchart of FIG. 1, and FIG. 3 is a functional configuration diagram of the triangular area shortening vectorization device of FIG. 1. FIG. 4 is an explanatory diagram of a method for converting a triangular area into a short vector, FIG. 5 is an explanatory diagram of a method for converting a triangle area into a long vector, and FIG. 6 is a hardware configuration diagram of a conventional network recognition device.
Fig. 7 is a processing flowchart of Fig. 6, Fig. 8 is a sample diagram of a network diagram, Fig. 9 is a cutout diagram of image data of the network recognition device of Fig. 6, and Fig. 10 is a diagram of a branch coming out of a symbol of a conventional device. Determination order diagram for number and direction,
FIG. 11 is an explanatory diagram of the network search method. In the figure, 1 is C1'U, 2 is an image processing device, 3 is a drawing reading device, 5 is a large capacity disk device, 6 is a graphic CRT, and 7 is a triangular area short vectorization device. Fig. 1 2: Picture illustration 3: Shiro σn Kichimen Mimata Mata Sakien Y 4: Aote Taku Pro 7 Ta 5: Large-capacity r-chair device 6: Five-Fin, 7 CRT 7: -Moon π Ferri 7 Loss 1' Guct) Laying Device Figure 2 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11, J-""'■ Procedural amendment (voluntary) 5 .7. , 6.16 Showa month day

Claims (1)

[Claims] Network information symbols drawn on the drawing are read by a drawing reading device, the read data is recognized by an image processing device according to instructions from the CPU, and stored in a large-capacity disk device, etc., and the recognition is performed. In the drawing recognition device that displays the results of C on a graphics CRT,
A triangular area short vector device is connected to the PU, the triangular area of the target drawing is cut out by the triangular area short vector device, and the cut out target drawing is processed into short vectors.
A drawing recognition device characterized in that the number and direction of branches output from the symbol are automatically recognized.