CN113971813B - Accurate identification method for parking spaces in building major general plane construction diagram and underground garage construction diagram - Google Patents
Accurate identification method for parking spaces in building major general plane construction diagram and underground garage construction diagram Download PDFInfo
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Abstract
The invention belongs to the technical field of CAD drawing recognition and computer vision, and discloses a method for accurately recognizing parking spaces in a construction drawing of a general plane of a building specialty and a construction drawing of an underground garage, which comprises the following steps: s1, firstly, analyzing a CAD drawing to obtain basic information such as primitives, layers and the like in the drawing; s2, printing the content in the CAD drawing on a picture according to the basic information acquired in the step S1; s3, digging out a small image of the parking space from the image obtained in the step S2, and carrying out manual marking; and S4, training MobileNet V a1 deep convolution nerve classification network model by using the mark small graph obtained in the step S3. The method can accurately and stably acquire all the passenger car parking spaces and the commercial car parking spaces in the total plane construction diagram and the underground garage construction diagram, thereby providing good conditions for the regular inspection of the passenger car parking spaces and the commercial car parking spaces in the total plane construction diagram and the underground garage construction diagram.
Description
Technical Field
The invention belongs to the technical field of CAD drawing recognition and computer vision, and particularly relates to a precise recognition method for parking spaces in a construction drawing of a general plane of a building specialty and a construction drawing of an underground garage.
Background
The CAD construction drawing is a pattern manufactured by using design software such as AutoCAD and the like to carry out overall layout of engineering projects, external shape, internal arrangement, structure construction, internal and external decoration, material construction, equipment, construction and the like of a building, has the characteristics of complete drawing, accurate expression and specific requirements, is the basis of engineering construction, construction drawing budget establishment and construction organization design, is also an important technical file for technical management, and needs to carry out careful examination on the construction drawing before construction so as to enter a construction stage, so as to ensure smooth construction, avoid the influence on the use stage after the construction is completed due to the fact that the drawing is wrong, and mainly represents the overall layout of the whole building base, particularly represents the position and orientation of a new building and the basic conditions of surrounding environments (original building, traffic roads, greening, terrains and the like), and uses a thick dotted line in the overall drawing to represent a land red line, and all the planned building cannot exceed the red line and meet requirements such as the requirements of the red line, the sun, the construction stage is guaranteed, the building occupation rate, the occupation ratio of the building, the construction occupation area, the layout of the new building, the special parking space, the design specifications of the whole building base, the road layout of the new building, the underground layout and the like are provided, and the basic layout of the underground layout of the building is designed, and the underground layout of the whole building is designed, and the underground layout is designed.
Because the existing CAD construction drawing is inspected manually, the inspection is a time-consuming and labor-consuming repetitive work, so that inspection staff is easy to miss, along with the wide application of artificial intelligence, some work completed by the manpower can be completed by the artificial intelligence, the artificial intelligence can inspect the specification of the parking space in the CAD construction drawing, and accurate identification of the parking space in the construction drawing is required by means of computer vision.
In order to solve the problems, the application provides a precise identification method for parking spaces in a construction professional general plane construction diagram and an underground garage construction diagram.
Disclosure of Invention
Aiming at the problems, the invention provides a precise identification method for parking spaces in a construction drawing of a general plane of a building specialty and a construction drawing of an underground garage, and the precise identification method has the advantages of good generalization performance and high accuracy.
In order to achieve the above purpose, the present invention provides the following technical solutions: a method for accurately identifying parking spaces in a construction drawing of a general plane of a building specialty and a construction drawing of an underground garage comprises the following steps:
S1, firstly, analyzing a CAD drawing to obtain basic information such as primitives, layers and the like in the drawing;
s2, printing the content in the CAD drawing on a picture according to the basic information acquired in the step S1;
S3, digging out a small image of the parking space from the image obtained in the step S2, and carrying out manual marking;
s4, training MobileNet V a deep convolution neural classification network model by using the mark small graph obtained in the step S3;
s5, according to the layer information of the primitives obtained in the step S1, the primitives with the high probability of forming the parking spaces are screened out;
s6, acquiring short side construction primitives and long side construction primitives which are likely to be the parking spaces of the passenger car from all the linear primitives screened in the step S5 according to the experience size of the parking spaces of the passenger car;
s7, acquiring short-side construction primitives and long-side construction primitives which are likely to be the parking spaces of the commercial vehicles from all the linear primitives screened in the step S5 according to the experience sizes of the parking spaces of the commercial vehicles;
S8, according to the passenger car parking space short-side candidate primitives obtained in the step S6, finding a first long-side straight-line primitive which is vertical to the passenger car parking space long-side candidate primitives and is connected with the end points from the passenger car parking space long-side candidate primitives obtained in the step S6;
S9, obtaining short-side candidate primitive information of the parking space of the passenger car according to the step S6;
S10, according to the short-side candidate primitives of the commercial vehicle parking space obtained in the step S7, finding a first long-side straight-line primitive which is vertical to the long-side candidate primitives of the commercial vehicle parking space and is connected with an endpoint from the long-side candidate primitives of the commercial vehicle parking space obtained in the step S7;
s11, obtaining short-side candidate primitive information of the parking space of the commercial vehicle according to the step S7;
s12, according to the two pieces of passenger car parking space long-side linear primitive information obtained in the step S8 and the step S9;
s13, according to the two pieces of linear primitive information on the long sides of the parking spaces of the commercial vehicles obtained in the step S10 and the step S11;
S14, merging the two short-side linear primitives of the parking space of the passenger car and the two long-side linear primitives of the parking space of the passenger car obtained in the step S12 into a parking space of the passenger car, and obtaining an external rectangular frame of the parking space of the passenger car;
s15, combining the two short-side straight-line primitives of the parking space of the commercial vehicle and the two long-side straight-line primitives of the parking space of the commercial vehicle obtained in the step S13 into a parking space of the commercial vehicle, and obtaining an external rectangular frame of the parking space of the commercial vehicle;
S16, deleting short-side linear primitives which are formed by the two passenger car parking spaces and obtained in the step S12 from short-side candidate primitives which are obtained in the step S6, and deleting long-side linear primitives which are formed by the two passenger car parking spaces and obtained in the step S12 from long-side candidate primitives which are obtained in the step S6;
S17, deleting the short-side linear primitives which are formed by the two commercial vehicle parking spaces and obtained in the step S13 from the short-side candidate primitives which are obtained in the step S7, and deleting the long-side linear primitives which are formed by the two commercial vehicle parking spaces and obtained in the step S13 from the long-side candidate primitives which are obtained in the step S7;
S18, utilizing the short-side candidate primitives and the long-side candidate primitives of the residual passenger car parking spaces obtained in the step S16, entering the step S8, and continuing to match the passenger car parking spaces until the number of the short-side candidate primitives and the long-side candidate primitives of the residual passenger car parking spaces is zero;
S19, utilizing the short-side candidate primitives and the long-side candidate primitives of the residual commercial vehicle parking spaces obtained in the step S17, entering the step S8, and continuing to match the commercial vehicle parking spaces until the number of the short-side candidate primitives and the long-side candidate primitives of the residual commercial vehicle parking spaces is zero;
s20, according to all the external rectangular frames of the parking spaces of the passenger cars, which are obtained in the step S18, a small drawing of the parking spaces of the passenger cars is scratched out from the complete picture printed by the drawing;
S21, according to all the external rectangular frames of the commercial vehicle parking spaces obtained in the step S19, digging out a small map of the commercial vehicle parking spaces from the complete picture printed by the drawing;
s22, inputting the passenger car parking space small map obtained in the step S20 and the commercial car parking space small map obtained in the step S21 into the MobileNet V deep convolutional neural network obtained in the step S4, and obtaining a classification result of each small map.
As a preferred technical solution of the present invention, the primitive information in S9 refers to finding a second long-side straight line primitive which is perpendicular to the long-side candidate primitive of the passenger car parking space obtained in step 6, has an end point connected to the second long-side straight line primitive, and has a different length from the long side obtained in step 8, and can determine whether the passenger car parking space is the passenger car parking space according to the displayed primitive information.
As a preferable technical scheme of the invention, the primitive information in S11 refers to finding a second long-side straight line primitive which is vertical to the long-side candidate primitive of the commercial vehicle parking space, is connected with an end point and is different from the long side obtained in the step 10 and has the same length from the long-side candidate primitive of the commercial vehicle parking space obtained in the step 7, and judging whether the commercial vehicle parking space is the commercial vehicle parking space or not according to the displayed primitive information.
As a preferable technical scheme of the invention, the graphic element information in S12 refers to the second short-side straight-line graphic element of the passenger car parking space searched in the short-side candidate graphic element of the passenger car parking space obtained in the step 6, and the passenger car parking space can be easily found out by utilizing the rule, so that the examination work is convenient, and the examination work is more convenient.
As a preferable technical scheme of the invention, the graphic element information in S13 refers to the second short-side straight-line graphic element of the commercial vehicle parking space searched in the short-side candidate graphic element of the commercial vehicle parking space obtained in the step 7, and the commercial vehicle parking space can be easily found out by utilizing the rule, so that the examination work is convenient, and the examination work is more convenient.
Compared with the prior art, the invention has the following beneficial effects:
1. the method can accurately and stably acquire all the passenger car parking spaces and the commercial car parking spaces in the total plane construction diagram and the underground garage construction diagram, thereby providing good conditions for the regular inspection of the passenger car parking spaces and the commercial car parking spaces in the total plane construction diagram and the underground garage construction diagram.
Drawings
Fig. 1 is a schematic diagram of a parking space recognition flow with a structure according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the invention provides a method for accurately identifying parking spaces in a construction drawing of a general plane of a building specialty and a construction drawing of an underground garage, which comprises the following steps:
S1, firstly, analyzing a CAD drawing to obtain basic information such as primitives, layers and the like in the drawing;
s2, printing the content in the CAD drawing on a picture according to the basic information acquired in the step S1;
S3, digging out a small image of the parking space from the image obtained in the step S2, and carrying out manual marking;
s4, training MobileNet V a deep convolution neural classification network model by using the mark small graph obtained in the step S3;
s5, according to the layer information of the primitives obtained in the step S1, the primitives with the high probability of forming the parking spaces are screened out;
s6, acquiring short side construction primitives and long side construction primitives which are likely to be the parking spaces of the passenger car from all the linear primitives screened in the step S5 according to the experience size of the parking spaces of the passenger car;
s7, acquiring short-side construction primitives and long-side construction primitives which are likely to be the parking spaces of the commercial vehicles from all the linear primitives screened in the step S5 according to the experience sizes of the parking spaces of the commercial vehicles;
S8, according to the passenger car parking space short-side candidate primitives obtained in the step S6, finding a first long-side straight-line primitive which is vertical to the passenger car parking space long-side candidate primitives and is connected with the end points from the passenger car parking space long-side candidate primitives obtained in the step S6;
S9, obtaining short-side candidate primitive information of the parking space of the passenger car according to the step S6;
S10, according to the short-side candidate primitives of the commercial vehicle parking space obtained in the step S7, finding a first long-side straight-line primitive which is vertical to the long-side candidate primitives of the commercial vehicle parking space and is connected with an endpoint from the long-side candidate primitives of the commercial vehicle parking space obtained in the step S7;
s11, obtaining short-side candidate primitive information of the parking space of the commercial vehicle according to the step S7;
s12, according to the two pieces of passenger car parking space long-side linear primitive information obtained in the step S8 and the step S9;
s13, according to the two pieces of linear primitive information on the long sides of the parking spaces of the commercial vehicles obtained in the step S10 and the step S11;
S14, merging the two short-side linear primitives of the parking space of the passenger car and the two long-side linear primitives of the parking space of the passenger car obtained in the step S12 into a parking space of the passenger car, and obtaining an external rectangular frame of the parking space of the passenger car;
s15, combining the two short-side straight-line primitives of the parking space of the commercial vehicle and the two long-side straight-line primitives of the parking space of the commercial vehicle obtained in the step S13 into a parking space of the commercial vehicle, and obtaining an external rectangular frame of the parking space of the commercial vehicle;
S16, deleting short-side linear primitives which are formed by the two passenger car parking spaces and obtained in the step S12 from short-side candidate primitives which are obtained in the step S6, and deleting long-side linear primitives which are formed by the two passenger car parking spaces and obtained in the step S12 from long-side candidate primitives which are obtained in the step S6;
S17, deleting the short-side linear primitives which are formed by the two commercial vehicle parking spaces and obtained in the step S13 from the short-side candidate primitives which are obtained in the step S7, and deleting the long-side linear primitives which are formed by the two commercial vehicle parking spaces and obtained in the step S13 from the long-side candidate primitives which are obtained in the step S7;
S18, utilizing the short-side candidate primitives and the long-side candidate primitives of the residual passenger car parking spaces obtained in the step S16, entering the step S8, and continuing to match the passenger car parking spaces until the number of the short-side candidate primitives and the long-side candidate primitives of the residual passenger car parking spaces is zero;
S19, utilizing the short-side candidate primitives and the long-side candidate primitives of the residual commercial vehicle parking spaces obtained in the step S17, entering the step S8, and continuing to match the commercial vehicle parking spaces until the number of the short-side candidate primitives and the long-side candidate primitives of the residual commercial vehicle parking spaces is zero;
s20, according to all the external rectangular frames of the parking spaces of the passenger cars, which are obtained in the step S18, a small drawing of the parking spaces of the passenger cars is scratched out from the complete picture printed by the drawing;
S21, according to all the external rectangular frames of the commercial vehicle parking spaces obtained in the step S19, digging out a small map of the commercial vehicle parking spaces from the complete picture printed by the drawing;
s22, inputting the passenger car parking space small map obtained in the step S20 and the commercial car parking space small map obtained in the step S21 into the MobileNet V deep convolutional neural network obtained in the step S4, and obtaining a classification result of each small map.
The primitive information in S9 refers to finding a second long-side straight line primitive which is perpendicular to the long-side candidate primitive of the passenger car parking space and connected with the endpoint, is different from the long-side candidate primitive obtained in step 8 and has the same length, and whether the passenger car parking space is the passenger car parking space can be judged according to the displayed primitive information.
The primitive information in S11 refers to finding a second long-side straight line primitive which is perpendicular to the long-side candidate primitive of the commercial vehicle parking space and connected to the end point, and has different long sides and the same length as the long sides obtained in step 10, and determining whether the primitive is the commercial vehicle parking space according to the displayed primitive information.
The primitive information in S12 refers to the second short-side straight-line primitive of the passenger car parking space searched in the passenger car parking space short-side candidate primitive obtained in step 6, and the passenger car parking space can be easily found out by using the rule, so that the examination work is convenient, and the examination work is more convenient.
The primitive information in S13 refers to the second short-side straight-line primitive of the commercial vehicle parking space searched in the short-side candidate primitive of the commercial vehicle parking space obtained in step 7, and the commercial vehicle parking space can be easily found out by using the rule, so that the examination work is convenient, and the examination work is more convenient.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. The accurate identification method for the parking spaces in the construction drawing of the general plane of the building specialty and the construction drawing of the underground garage is characterized by comprising the following steps:
s1, firstly, analyzing a CAD drawing to obtain primitive and layer basic information in the drawing;
s2, printing the content in the CAD drawing on a picture according to the basic information acquired in the step S1;
S3, digging out a small image of the parking space from the image obtained in the step S2, and carrying out manual marking;
s4, training MobileNet V a deep convolution neural classification network model by using the mark small graph obtained in the step S3;
s5, according to the layer information of the primitives obtained in the step S1, the primitives with the high probability of forming the parking spaces are screened out;
s6, acquiring short side construction primitives and long side construction primitives which are likely to be the parking spaces of the passenger car from all the linear primitives screened in the step S5 according to the experience size of the parking spaces of the passenger car;
s7, acquiring short-side construction primitives and long-side construction primitives which are likely to be the parking spaces of the commercial vehicles from all the linear primitives screened in the step S5 according to the experience sizes of the parking spaces of the commercial vehicles;
S8, according to the passenger car parking space short-side candidate primitives obtained in the step S6, finding a first long-side straight-line primitive which is vertical to the passenger car parking space long-side candidate primitives and is connected with the end points from the passenger car parking space long-side candidate primitives obtained in the step S6;
S9, obtaining short-side candidate primitive information of the parking space of the passenger car according to the step S6;
S10, according to the short-side candidate primitives of the commercial vehicle parking space obtained in the step S7, finding a first long-side straight-line primitive which is vertical to the long-side candidate primitives of the commercial vehicle parking space and is connected with an endpoint from the long-side candidate primitives of the commercial vehicle parking space obtained in the step S7;
s11, obtaining short-side candidate primitive information of the parking space of the commercial vehicle according to the step S7;
s12, according to the two pieces of passenger car parking space long-side linear primitive information obtained in the step S8 and the step S9;
s13, according to the two pieces of linear primitive information on the long sides of the parking spaces of the commercial vehicles obtained in the step S10 and the step S11;
S14, merging the two short-side linear primitives of the parking space of the passenger car and the two long-side linear primitives of the parking space of the passenger car obtained in the step S12 into a parking space of the passenger car, and obtaining an external rectangular frame of the parking space of the passenger car;
s15, combining the two short-side straight-line primitives of the parking space of the commercial vehicle and the two long-side straight-line primitives of the parking space of the commercial vehicle obtained in the step S13 into a parking space of the commercial vehicle, and obtaining an external rectangular frame of the parking space of the commercial vehicle;
S16, deleting short-side linear primitives which are formed by the two passenger car parking spaces and obtained in the step S12 from short-side candidate primitives which are obtained in the step S6, and deleting long-side linear primitives which are formed by the two passenger car parking spaces and obtained in the step S12 from long-side candidate primitives which are obtained in the step S6;
S17, deleting the short-side linear primitives which are formed by the two commercial vehicle parking spaces and obtained in the step S13 from the short-side candidate primitives which are obtained in the step S7, and deleting the long-side linear primitives which are formed by the two commercial vehicle parking spaces and obtained in the step S13 from the long-side candidate primitives which are obtained in the step S7;
S18, utilizing the short-side candidate primitives and the long-side candidate primitives of the residual passenger car parking spaces obtained in the step S16, entering the step S8, and continuing to match the passenger car parking spaces until the number of the short-side candidate primitives and the long-side candidate primitives of the residual passenger car parking spaces is zero;
S19, utilizing the short-side candidate primitives and the long-side candidate primitives of the residual commercial vehicle parking spaces obtained in the step S17, entering the step S8, and continuing to match the commercial vehicle parking spaces until the number of the short-side candidate primitives and the long-side candidate primitives of the residual commercial vehicle parking spaces is zero;
s20, according to all the external rectangular frames of the parking spaces of the passenger cars, which are obtained in the step S18, a small drawing of the parking spaces of the passenger cars is scratched out from the complete picture printed by the drawing;
S21, according to all the external rectangular frames of the commercial vehicle parking spaces obtained in the step S19, digging out a small map of the commercial vehicle parking spaces from the complete picture printed by the drawing;
s22, inputting the passenger car parking space small map obtained in the step S20 and the commercial car parking space small map obtained in the step S21 into the MobileNet V deep convolutional neural network obtained in the step S4, and obtaining a classification result of each small map.
2. The method for accurately identifying the parking spaces in the construction professional general plane construction drawing and the underground garage construction drawing according to claim 1, which is characterized in that: the primitive information in S9 refers to finding a second long-side straight line primitive which is perpendicular to the long-side candidate primitive of the passenger car parking space obtained in step 6, is connected with an endpoint, and is different from the long side obtained in step 8 and has the same length.
3. The method for accurately identifying the parking spaces in the construction professional general plane construction drawing and the underground garage construction drawing according to claim 1, which is characterized in that: the primitive information in S11 refers to finding a second long-side straight line primitive which is perpendicular to the long-side candidate primitive of the commercial vehicle parking space and connected with the end point, is different from the long-side and has the same length obtained in step 10.
4. The method for accurately identifying the parking spaces in the construction professional general plane construction drawing and the underground garage construction drawing according to claim 1, which is characterized in that: the primitive information in S12 refers to the second short-side straight-line primitive of the passenger car parking space searched from the short-side candidate primitive of the passenger car parking space acquired in step 6.
5. The method for accurately identifying the parking spaces in the construction professional general plane construction drawing and the underground garage construction drawing according to claim 1, which is characterized in that: the primitive information in S13 refers to the second short-side straight-line primitive of the commercial vehicle parking space searched from the short-side candidate primitive of the commercial vehicle parking space acquired in step 7.
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| CN110517223A (en) * | 2019-07-11 | 2019-11-29 | 万翼科技有限公司 | Drawing review method, apparatus, computer equipment and storage medium |
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| CN110517223A (en) * | 2019-07-11 | 2019-11-29 | 万翼科技有限公司 | Drawing review method, apparatus, computer equipment and storage medium |
| CN112883799A (en) * | 2021-01-20 | 2021-06-01 | 上海品览智造科技有限公司 | Method for accurately identifying slope in CAD (computer-aided design) slope big sample graph |
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