CN115830623A - Measuring point planning method and system based on intelligent identification of building drawings - Google Patents

Abstract

The invention discloses a measuring point planning method and a system based on intelligent identification of a building drawing, which comprises the steps of firstly obtaining an original map, processing the original map, and identifying corresponding parts of a wall body, a door and a window on the map; then, performing differentiation processing on the map obtained by processing, and determining a measuring object contained in the outline of each room on the map; and finally planning corresponding measuring points based on the divided and determined measured objects according to the measured items to be measured. The scheme provided by the invention carries out full-automatic planning of the measuring points based on an intelligent identification mode, and can realize automatic planning of multiple rooms and multiple measuring items compared with the existing scheme based on manual setting of the measuring points, thereby greatly improving the planning efficiency of the measuring points.

Description

Measuring point planning method and system based on intelligent identification of building drawings

Technical Field

The invention relates to the technical field of building measurement, in particular to a planning scheme of a measuring point.

Background

Among the existing building survey engineering, to corresponding measuring point planning mostly rely on artifical setting, need artifically based on the construction drawing, adopt the measuring instrument, every room area of taking the measurement is measured. After the corresponding measurement data are obtained, the corresponding measurement object is selected and calibrated according to different measurement items. Finally, corresponding measuring points are calculated and determined according to the determined measuring objects.

The whole planning work basically depends on manual work, the measurement efficiency is low, and the progress of the project is greatly influenced.

Disclosure of Invention

Aiming at the problem of low efficiency caused by manual setting of measuring points in the existing building measuring engineering, the invention aims to provide a measuring point planning method based on intelligent identification of a building drawing, which is used for carrying out full-automatic planning of measuring points based on an intelligent identification mode and greatly improving the efficiency.

In order to achieve the purpose, the measuring point planning method based on the intelligent identification building drawing comprises the following steps:

(1) Acquiring an original map, processing the original map, and identifying corresponding parts of a wall, a door and a window on the map;

(2) Performing differentiation processing on the map obtained by the processing in the step (1), and determining a measuring object contained in the outline of each room on the map;

(3) And (3) planning corresponding measuring points based on the measured object determined by the step (2) division according to the measured item to be measured.

In some examples of the present invention, the step (1) processes the original map, processes the original map into a PNG format bitmap, and identifies the positions corresponding to the wall, the door, and the window on the bitmap.

In some examples of the invention, the step (2) comprises the sub-steps of:

(2.1) carrying out area division on the map obtained by processing to obtain a plurality of sub-areas, wherein each sub-area corresponds to a room outline;

(2.2) respectively traversing the outline of each sub-region aiming at each sub-region obtained by segmentation in the step (2.1), and identifying the component parts corresponding to the wall, the door, the window and the corner in each sub-region;

and (2.3) dividing the outline of each sub-area according to the component parts corresponding to the wall, the door, the window and the corner, which are identified in the step (2.2), so as to form a corresponding measuring object.

In some examples of the invention, said step (2.3) is performed by sorting the formed measurement objects.

In some examples of the invention, the step (3) includes planning the perpendicularity and flatness of the wall body and the measuring points detected by the wall embedded parts, firstly, based on the coordinate and size information of the measuring object of the step (2), two limit point positions are marked on two sides of the wall section, and the visual field of the measuring equipment just covers the boundary; and then, generating a plurality of point positions in the middle area of the wall surface section at equal intervals according to the principle of full coverage of the visual field of the measuring equipment.

In some examples of the present invention, the step (3) includes planning the measurement points of the internal and external corners, and firstly, determining the coordinate information of each corner based on the relevant information when the position of each corner is identified in the step (2), and generating one measurement point for each internal and external corner based on the coordinate information of each corner.

In some examples of the present invention, the step (3) includes planning of measurement points of sectional dimensions of the vertical column and the narrow wall, and firstly, based on the measurement object corresponding to the wall section identified in the step (2), and according to the coordinate information and/or the dimension information of the measurement object corresponding to the wall section, identifying a measurement object of the wall section with a width smaller than a threshold value, and determining that the measurement object is the vertical column or the narrow wall;

secondly, preplanning a measuring point location based on a wall surface measuring point planning mode aiming at the measuring object determined as the upright column or the narrow wall;

and then, carrying out offset adjustment on the pre-planned measurement point position based on the overall size of the measurement equipment, and adjusting the offset distance to obtain a final measurement point.

In some examples of the present invention, the step (3) includes planning of measurement points of the door and window sizes, and firstly, based on the measurement objects corresponding to the door and window segments identified in the step (2), and according to the coordinate information and the size information of the measurement objects corresponding to the door and window segments, constructing a perpendicular bisector perpendicular to the door and window segments; next, for the constructed perpendicular bisector, a measurement point is determined on the perpendicular bisector based on the distance of the measurement device from the wall.

In some examples of the present invention, the step (3) includes planning the measurement points of the wall space, and first, based on the coordinates and the size information of the wall section measurement object, the door section measurement object, and the window section measurement object included in each sub-area identified in the step (2), the area in which both ends in the horizontal direction and the vertical direction are wall sections in the sub-area is judged; then, the area is used as a measuring point planning area, and a measuring point is determined in the area.

In order to achieve the aim, the measuring point planning system based on the intelligent identification building drawing comprises a map preprocessing module, a measuring object dividing module and a measuring point planning module;

the map preprocessing module is used for acquiring an original map corresponding to the building map, processing the original map and identifying parts corresponding to walls, doors and windows on the map;

the measuring object dividing module is in data interaction with the map preprocessing module and is used for carrying out differentiation processing on the map obtained by processing of the map preprocessing module and determining a measuring object contained in the outline of each room on the map;

and the measuring point planning module performs data interaction with the measuring object dividing module and is used for planning corresponding measuring points based on the measured object determined by the measuring object dividing module according to the measuring items to be measured.

The scheme provided by the invention carries out full-automatic planning of the measuring points based on an intelligent identification mode, and can realize automatic planning of multiple rooms and multiple measuring items compared with the existing scheme based on manual setting of the measuring points, thereby greatly improving the planning efficiency of the measuring points.

Drawings

The invention is further described below in conjunction with the appended drawings and the detailed description.

FIG. 1 is an exemplary diagram of obtaining an original map in accordance with aspects of the present invention;

FIG. 2 is an exemplary diagram of a measurement object obtained by dividing a neutron region according to the present invention;

fig. 3 is an exemplary diagram of a planned measurement point for a wall surface in the solution of the present invention;

FIG. 4a is an exemplary diagram of planning a measurement point for an external corner according to the present invention;

FIG. 4b is an exemplary diagram of planning measurement points for the internal corner in the solution of the present invention;

fig. 5 is an exemplary diagram of planning a measurement point for a short wall surface in the solution of the present invention;

FIG. 6 is an exemplary diagram of a planned measurement point for a door or window according to an embodiment of the present invention;

FIG. 7 is an exemplary diagram of planning measurement points for a rectangular room in accordance with aspects of the present invention;

fig. 8 is an exemplary diagram of planning measurement points for a space between needle walls in the solution of the present invention;

fig. 9 is a configuration example diagram of a measurement point planning system based on intelligent identification of a construction drawing in the scheme of the present invention.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below by combining the specific drawings.

The scheme of the invention innovatively introduces an intelligent identification technology, and effectively realizes automatic planning of the measuring points by intelligently identifying the construction drawing.

Specifically, the implementation process of the scheme of the invention for planning the measuring points based on the intelligent identification of the building drawings mainly comprises the following steps:

(1) And acquiring an original map and processing the original map.

In some embodiments of the present solution, in this step, an original map is first obtained according to the picture address, where the original map corresponds to the building drawing of the building to be measured, as shown in fig. 1.

And then, processing the acquired original map, and marking the corresponding positions of doors and windows on the original map.

As an example, in this step, the obtained original map is processed to obtain a PNG format bitmap; and identifying the positions corresponding to the doors and windows on the bitmap aiming at the PNG format bitmap so as to carry out subsequent processing.

The PNG format bitmap preferably adopts a black background, so that subsequent processing is facilitated; meanwhile, the marking mode is not limited, and preferably, the marking can be performed through colors, for example, the part corresponding to the wall is marked as green, the part corresponding to the door is marked as yellow, the part corresponding to the window is marked as blue, and the like.

The specific form of the mark is not limited to this, and other forms may be adopted as needed.

(2) And (3) carrying out block processing on the map obtained by the processing in the step (1) and determining a measuring object contained in each room outline on the map.

When the step is specifically implemented, the following substeps are specifically included:

and (2.1) carrying out area division on the map obtained by the processing in the step (1) to obtain a plurality of sub-areas, wherein each sub-area corresponds to a room outline.

In some embodiments of the present solution, in a specific implementation of the step, the map formed in step (1) is segmented based on a region segmentation algorithm to obtain a plurality of sub-regions, where each sub-region corresponds to a room outline.

The region segmentation algorithm used here is, for example, a function of opencv library findContours, but is not limited to this, and other region segmentation means may be used as necessary.

And (2.2) aiming at each sub-region obtained by segmentation in the step (2.1), respectively traversing the outline of each sub-region, screening out the components of the wall, the door and the window, and reading the coordinates of the components.

In some embodiments of the present disclosure, in the step of implementing the method, the positions corresponding to the doors and the windows are marked on the basis of the original map in the step (1) to screen out the components of the doors and the windows.

Continuing with the example in step (1), in this step, the three can be distinguished according to the color information, the coordinates of the wall, the door and the window, that is, the position information on the map, are read, and the corresponding size information is obtained at the same time.

(2.3) identifying for each sub-area a location corresponding to a corner of the room.

In some embodiments of the present disclosure, in the step of implementing the method specifically, each pixel of each room contour (i.e., each sub-region contour) is traversed, and distribution conditions of eight pixels around the pixel are obtained to distinguish whether a current pixel point is a corner, and coordinate information of the corner, i.e., position information on a map, is obtained at the same time. Therefore, the position corresponding to the corner of the room can be quickly and accurately identified.

And (2.4) dividing the outline of each sub-area to form a corresponding measuring object.

In some embodiments of the present disclosure, in a specific implementation of the step, for the wall part in each sub-area, the wall part is divided by using the wall corner part determined in step (2.3) and the door/window boundary part determined in step (2.2) as a dividing point, so as to obtain corresponding wall section, door section, and window section, and the corresponding wall section, door section, and window section are used as the corresponding measurement objects included in the sub-area.

Referring to fig. 2, the sub-area is divided into 6 wall sections, 1 door section and 1 window section. Thus the sub-area will have 6 wall segment measurement objects, 1 door segment measurement object and 1 window segment measurement object.

And (2.5) sequencing a plurality of measuring objects (such as corresponding wall sections, door sections and window sections) segmented in the step (2.4) to ensure that the subsequently generated measuring points have sequence.

The specific sorting method is not limited, and the sorting can be performed clockwise or counterclockwise.

(3) And planning a measuring point for the measured object according to the measuring item to be measured.

When the step is specifically implemented, the following substeps are specifically included:

and (3.1) planning the perpendicularity and the flatness of the wall surface and measuring points for detecting embedded parts of the wall surface.

If the measurement items are the perpendicularity and the flatness of the wall surface and the wall surface embedded parts, determining that the measurement objects are the wall surface, and simultaneously planning the measurement points into a series of points at a certain distance from the wall surface.

Referring to fig. 3, an exemplary diagram of planning measurement points for a wall surface for a measurement object in this example is shown.

Based on the diagram, wherein l is the length of the wall to be measured, d is the distance from the wall, r is the single-side view of the measuring equipment, and a is the distance between the middle section points.

When planning the measuring points, firstly identifying the coordinate and size information of the measuring object of the wall surface section based on the step (2), marking two limit point positions on two sides of the wall surface section, and just enabling the view field of the measuring equipment to cover the boundary; and then, generating a plurality of point positions in the middle area of the wall surface section at equal intervals according to the principle of full coverage of the visual field of the measuring equipment.

The equidistant distance a (i.e., the intermediate segment point spacing) here is calculated as follows:

wherein l is the length of the wall to be measured, d is the distance from the wall, r is the unilateral visual field of the measuring equipment, and a is the distance between the point positions of the middle section.

And (3.2) planning the measuring points of the internal and external corners.

If the measurement item is the internal corner and the external corner, determining that the measurement object is the corner,

in the step, based on the relevant information of each wall corner part identified in the step (2), the coordinate information of each wall corner is determined, and a measuring point is generated for each internal corner and each external corner based on the coordinate information of each wall corner.

Referring to fig. 4a and 4b, there are shown exemplary diagrams of the measurement point planning for the inside and outside corners in this example.

And acquiring coordinate information of each corner of the wall aiming at each internal corner and the external corner, constructing a corresponding square by taking the distance d from the wall as the side length based on the corner point of the wall, and taking the vertex of the constructed square which is diagonally distributed with the corner point of the wall as a measuring point.

As shown in fig. 4a, if a corner 41 is an external corner, the coordinate information of the corner is obtained, two wall portions 42 and 43 adjacent to the corner are respectively extended outward by a distance d, a square with the distance d from the wall as a side length is constructed by matching two extension segments with the corner 41, and a vertex 44 on the constructed square and diagonally distributed with the corner point 41 is used as a measuring point.

As shown in fig. 4b, if the corner 45 is an internal corner, the coordinate information of the corner is obtained, the corner 45 is used as a starting point, the length d is directly selected on the two wall portions 46 and 47 adjacent to the corner, a square with the distance d from the wall as the side length is constructed by matching the two selected sections with the corner 45, and a vertex 48 on the constructed square and diagonally distributed with the corner is used as a measuring point.

The measuring point of the internal and external corners can be accurately determined, and the measuring device is enabled to face the corner of the wall.

And (3.3) planning measurement points of the section sizes of the upright post and the narrow wall.

And if the measurement item is the section size of the upright post and the narrow wall, determining that the measurement object is the wall surface with shorter width.

In the step, firstly, based on the measurement object corresponding to the wall surface segment identified in the step (2), the wall surface segment measurement object with the length smaller than the threshold value is identified according to the coordinate information and/or the size information of the measurement object corresponding to the wall surface segment, and the wall surface segment measurement object is determined to be the upright post or the narrow wall.

For the measurement object determined as the upright column or the narrow wall, a measurement point position 51 is pre-planned based on a wall surface measurement point planning mode (namely, step 3.1);

since the size of the vertical column or narrow wall is smaller than that of a conventional wall section, the measurement point 51 formed by the regular scheme of the measurement points of the same wall will be outside the room. In this step, for the pre-planned measurement point 51, offset adjustment is performed based on the overall size of the measurement device, and the offset distance f is adjusted to obtain the final measurement point 52.

On the basis, the step further forms a corresponding rotation adjusting angle in a calculation mode according to the offset distance f, the whole machine size of the measuring equipment and the single-side view angle, so that the measuring equipment can face to the corresponding upright post or narrow wall.

It should be noted here that, for a specific implementation manner of determining the offset distance f based on the overall machine size of the measuring device, the implementation manner is not limited herein and may be determined according to actual requirements.

Furthermore, the specific implementation manner for determining the rotation adjustment angle is not limited herein and may be determined according to actual requirements.

And (3.4) planning measuring points of the sizes of the door and the window.

And if the measurement item is the size of the door and the window, determining that the measurement object is the door and the window section.

Referring to fig. 6, when planning the dimension measuring points of the doors and windows in this step, respectively planning a measuring point location for each door and window segment, firstly, based on the measuring objects corresponding to the door and window segments identified in step (2), and according to the coordinate information and the dimension information (such as the width l of the door and window) of the measuring objects corresponding to the door and window segments, constructing a perpendicular bisector perpendicular to the door and window segments; for the constructed perpendicular bisector, a measuring point 61 is determined on the perpendicular bisector based on the distance d of the measuring device from the wall.

And (3.5) planning the surface flatness, the gradient and the surface flatness of the top plate and the layer height measuring point of the ground engineering.

The method is suitable for rectangular rooms aiming at four measurement items of surface evenness and gradient of ground engineering, surface evenness of a top plate and layer height.

Referring to fig. 7, in the step, firstly, based on the wall section measurement object, the door section measurement object and the window section measurement object included in each sub-region identified in step (2), and according to the coordinate information and the size information of the wall section measurement object, the door section measurement object and the window section measurement object, whether the room outline corresponding to the sub-region is a rectangle is determined;

if the area is rectangular, five measurement points are generated at the center of the area and around the corner points.

For example, the position of the central measurement point is calculated according to the size of the area, and the measurement points of the four surrounding corner points are calculated and determined according to the distance d from the wall.

And (3.6) planning the measuring points of the wall spacing.

Aiming at the wall space measurement item, the method is suitable for the condition that the two side ends in the horizontal direction and the vertical direction are both walls.

Referring to fig. 8, the step first determines an area 81 in which both ends in the horizontal direction and the vertical direction in each sub-area are wall sections based on the wall section measurement object, the door section measurement object, and the window section measurement object included in each sub-area identified in step (2) and the size information, and excludes an area 82 corresponding to a door section or a window section.

Then, an area is planned with the area 81 as a measurement point, and one measurement point 83 is determined in the area.

The determination of the measuring points here is, by way of example, based on the principle of off-center location in the region.

The scheme provided by the invention is further illustrated by specific examples.

In this embodiment, the method for planning the measuring points based on the intelligent identification building drawing forms a corresponding software program to form a corresponding system for planning the measuring points based on the intelligent identification building drawing. When the software program runs, the measuring point planning method based on the intelligent identification building drawing is executed and is simultaneously stored in a corresponding storage medium for being called and executed by a processor.

Referring to fig. 9, the measurement point planning system 100 based on intelligent identification of a construction drawing mainly includes a map preprocessing module 110, a measurement object dividing module 120, a measurement point planning module 130, and a database 140 in terms of composition when implemented.

The database 140 in the present system is used for storing basic data of the system operation and various data generated by the operation. Such as imported construction drawings, corresponding measurement items, measurement requirements, and the like.

The specific structure of the database is not limited herein, and may be determined according to actual requirements.

The map preprocessing module 110 in the system is used for acquiring an original map corresponding to a building map, processing the original map, and identifying positions on the map corresponding to a wall, a door and a window.

By way of example, the local map preprocessing module 110 processes the original map, processes the original map into a PNG-format bitmap, and identifies the positions corresponding to the wall, the door, and the window on the bitmap by different colors.

The measurement object partitioning module 120 in the system performs data interaction with the map preprocessing module 110, and is configured to perform differentiation processing on the map processed by the map preprocessing module 110, and determine a measurement object included in each room contour on the map.

Specifically, the measurement object dividing module 120 mainly protects the area dividing module 121, the identification module 122, and the measurement object determination module 123 that cooperate with each other.

The area dividing module 121 obtains the map obtained by the map preprocessing module 110, and performs area division to obtain a plurality of sub-areas, where each sub-area corresponds to a room outline.

For example, the area dividing module 121 may be implemented by the scheme described in the step (2.1).

The identification module 122 performs data interaction with the region division module 121, and for each sub-region obtained by division by the region division module 12, traverses the outline of each sub-region, and identifies the component parts corresponding to the wall, the door, the window, and the corner in each sub-region.

For example, the identification module 122 may be implemented by the schemes described in the step (2.2) and the step (2.3).

The measurement object determining module 123 performs data interaction with the identifying module 122, and divides the outline of each sub-region according to the component parts corresponding to the wall, the door, the window, and the corner identified by the identifying module 122 to form a corresponding measurement object.

For example, the measurement object determining module 123 may be implemented by the schemes described in the above step (2.3) and step (2.4).

The measuring point planning module 130 in the system performs data interaction with the measuring object dividing module 120 and the database 140, and is configured to plan a corresponding measuring point based on the measured object determined by the measuring object dividing module 120 according to the measurement item to be measured.

The measurement point planning module 130 firstly determines a corresponding measurement object according to different measurement items; and then, automatically planning corresponding measuring points according to the structural characteristics, the coordinate information, the size information and the like of the corresponding measuring objects.

For example, the measurement point planning module 130 may be implemented by the scheme described in the step (3).

When the system for planning the measuring points based on the intelligent identification building drawing is implemented, the map preprocessing module 110 firstly acquires an original map corresponding to a building map, processes the original map and identifies the parts of the map corresponding to a wall, a door and a window.

Next, the map obtained by the map preprocessing module 110 is differentiated by the measurement object segmentation module 120, and the measurement object included in each room contour on the map is determined.

Next, the measurement point planning module 130 in the present system plans the corresponding measurement point based on the measured object determined by the measurement object dividing module 120 according to the measurement item to be measured. The measurement point planning module 130 firstly determines a corresponding measurement object according to different measurement items; and then, automatically planning corresponding measuring points according to the structural characteristics, the coordinate information, the size information and the like of the corresponding measuring objects.

The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, and such changes and modifications are within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. Measurement point planning method based on intelligent identification of building drawings is characterized by comprising the following steps:

(1) Acquiring an original map, processing the original map, and identifying corresponding parts of a wall, a door and a window on the map;

(2) Carrying out block processing on the map obtained by the processing in the step (1) and determining a measuring object contained in each room outline on the map;

(3) And (3) planning corresponding measuring points based on the measured object determined by the step (2) division according to the measured item to be measured.

2. The method for planning the measurement points based on the intelligent identification building drawing as claimed in claim 1, wherein the step (1) is to process the original map, process the original map into a PNG format bitmap, and identify the corresponding parts of the wall, the door and the window on the bitmap.

3. The method for planning the measurement points based on the intelligent identification construction drawing as claimed in claim 1, wherein the step (2) comprises the following sub-steps:

(2.1) carrying out area division on the map obtained by processing to obtain a plurality of sub-areas, wherein each sub-area corresponds to a room outline;

(2.2) respectively traversing the outline of each sub-region aiming at each sub-region obtained by segmentation in the step (2.1), and identifying the component parts corresponding to the wall, the door, the window and the corner in each sub-region;

and (2.3) dividing the outline of each sub-area according to the component parts corresponding to the wall, the door, the window and the corner, which are identified in the step (2.2), so as to form a corresponding measuring object.

4. The method for planning measurement points based on intelligent recognition of construction drawings according to claim 3, wherein the step (2.3) is performed by sorting formed measurement objects.

5. The method for planning the measuring points based on the intelligent identification building drawing according to claim 1, wherein the step (3) comprises planning the measuring points for detecting the perpendicularity and the flatness of the wall surface and wall embedded parts, firstly, based on the step (2), the coordinate and the size information of the measuring object of the wall surface section are identified, two limit point positions are planned on two sides of the wall surface section, and the visual field of the measuring equipment is just covered to the boundary; and then, generating a plurality of point positions in the middle area of the wall surface section at equal intervals according to the principle of full coverage of the visual field of the measuring equipment.

6. The method for planning the measuring points based on the intelligent identification building drawing as claimed in claim 1, wherein the step (3) comprises planning the measuring points of the internal and external corners, firstly, based on the relevant information when the wall corner part is identified in the step (2), the coordinate information of each wall corner is determined, and based on the coordinate information of each wall corner, a measuring point is generated for each internal and external corner.

7. The method for planning the measuring points based on the intelligent identification building drawing as claimed in claim 1, wherein the step (3) comprises the planning of the measuring points of the cross-sectional dimensions of the vertical columns and the narrow walls, and firstly, based on the measuring objects corresponding to the wall sections identified in the step (2), and according to the coordinate information and/or the dimension information of the measuring objects corresponding to the wall sections, the measuring objects of the wall sections with the width smaller than the threshold value are identified and determined to be the vertical columns or the narrow walls;

secondly, preplanning a measuring point location based on a wall surface measuring point planning mode aiming at the measuring object determined as the upright column or the narrow wall;

and then, carrying out offset adjustment on the pre-planned measurement point position based on the overall size of the measurement equipment, and adjusting the offset distance to obtain a final measurement point.

8. The method for planning measurement points based on intelligent identification of construction drawings according to claim 1, wherein the step (3) comprises the measurement point planning of the sizes of doors and windows, and firstly, a perpendicular bisector perpendicular to the door and window sections is constructed based on the measurement objects corresponding to the door and window sections identified in the step (2) and according to the coordinate information and the size information of the measurement objects corresponding to the door and window sections; next, for the constructed perpendicular bisector, a measurement point is determined on the perpendicular bisector based on the distance of the measurement device from the wall.

9. The method for planning the measuring points based on the intelligent identification building drawing as claimed in claim 1, wherein the step (3) comprises the step of planning the measuring points of the wall space, and firstly, the method judges the areas of which the ends at both sides in the horizontal direction and the vertical direction are wall sections in each sub-area identified in the step (2) based on the coordinates and the dimension information of the wall section measuring object, the door section measuring object and the window section measuring object in the sub-area; then, the area is used as a measuring point planning area, and a measuring point is determined in the area.

10. The measuring point planning system based on intelligent identification of the building drawing is characterized by comprising a map preprocessing module, a measuring object dividing module and a measuring point planning module;

the map preprocessing module is used for acquiring an original map corresponding to the building map, processing the original map and identifying positions corresponding to walls, doors and windows on the map;

the measuring object dividing module is in data interaction with the map preprocessing module and is used for carrying out block processing on the map obtained by the map preprocessing module and determining a measuring object contained in the outline of each room on the map;

and the measuring point planning module performs data interaction with the measuring object dividing module and is used for planning corresponding measuring points based on the measured object determined by the measuring object dividing module according to the measuring items to be measured.

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