CN116778521A - Drawing member identification method, electronic equipment and storage medium - Google Patents

Abstract

The application provides a drawing member identification method, electronic equipment and a storage medium, wherein the method comprises the following steps: extracting graphic information from a drawing to be processed; comparing the graphic information with the characteristic information of the target member to obtain a comparison result; and determining whether the drawing to be processed comprises a target component according to the comparison result. In the implementation process of the scheme, the graphic information extracted from the drawing to be processed is compared with the characteristic information of the target component, and whether the drawing to be processed comprises the target component is determined according to the comparison result, so that the condition of identifying the component in a manual identification mode is effectively improved, and the efficiency of identifying the component from the engineering drawing is effectively improved.

Description

Drawing member identification method, electronic equipment and storage medium

Technical Field

The present application relates to the technical field of computer automation programs and machine flow automation, and in particular, to a drawing member identification method, an electronic device, and a storage medium.

Background

Components (Artifacts), which are structured objects described in engineering drawings (e.g., CAD drawings in engineering projects), are generally formed by combining multiple lines to form a certain appearance shape, and specific components are as follows: doors, windows, walls, beams, columns, etc. in architectural design projects, bearings, rotor rollers, gears, etc. in mechanical design projects.

At present, engineers are used for identifying components (Artifacts) from engineering drawings, however, when a large number of engineering drawings need to identify the components, the components are similar in shape and different in size, and a large amount of manpower is consumed for distinguishing and identifying the components, so that the efficiency of identifying the components from the engineering drawings is low.

Disclosure of Invention

The embodiment of the application aims to provide a drawing component identification method, electronic equipment and a storage medium, which are used for solving the problem of low component identification efficiency in engineering drawings.

The embodiment of the application provides a drawing member identification method, which comprises the following steps: extracting graphic information from a drawing to be processed; comparing the graphic information with the characteristic information of the target member to obtain a comparison result; and determining whether the drawing to be processed comprises a target component according to the comparison result. In the implementation process of the scheme, the graphic information extracted from the drawing to be processed is compared with the characteristic information of the target component, and whether the drawing to be processed comprises the target component is determined according to the comparison result, so that the condition of identifying the component in a manual identification mode is effectively improved, and the efficiency of identifying the component from the engineering drawing is effectively improved.

Optionally, in an embodiment of the present application, before comparing the graphic information with the feature information of the target member, the method further includes: obtaining an engineering drawing of a target component, and analyzing a plurality of atomic characteristics of the target component from the engineering drawing; sequentially sorting a plurality of atomic features of the target member according to the abscissa and the ordinate in the atomic features to obtain sorted atomic features; and acquiring a characteristic template table, and filling the ordered atomic characteristics into the characteristic template table to obtain the characteristic information of the target component. In the implementation process of the scheme, the atomic characteristics of the target component are sequenced according to the abscissa and the ordinate in the atomic characteristics, and the sequenced atomic characteristics are utilized to carry out a comparison automation flow, so that the accuracy of the atomic characteristic level is realized, the efficiency of identifying the component from the engineering drawing is improved, and meanwhile, the accuracy of identifying the component is also improved.

Optionally, in an embodiment of the present application, comparing the graphic information with the feature information of the target member includes: analyzing a plurality of atomic data from the graphic information; sequentially sorting the plurality of atomic data according to the abscissa and the ordinate in the atomic data to obtain sorted atomic data; constructing a contrast matrix by using a first sequence formed by attribute categories and size coordinates in the ordered atomic data and a second sequence formed by attribute categories and size coordinates in the feature information; and performing sequence comparison calculation on the comparison matrix to obtain a comparison result, wherein the comparison result is the similarity score between the first sequence and the second sequence. In the implementation process of the scheme, whether the to-be-processed drawing comprises the target component is determined through the similarity score between the first sequence and the second sequence, so that the condition that the component is identified in a manual identification mode is effectively improved, and the efficiency of identifying the component from the engineering drawing is effectively improved.

Optionally, in an embodiment of the present application, before sorting the plurality of atom data, the method further includes: for each atomic data in the plurality of atomic data, judging whether the attribute category in the atomic data is in the characteristic information of the target component; if not, the atomic data is removed from the plurality of atomic data. In the implementation process of the scheme, the atomic data is removed from the plurality of atomic data under the condition that the attribute type in the atomic data is not in the characteristic information of the target component, so that the accuracy of the atomic characteristic level after the attribute type is screened is realized, the efficiency of identifying the component from the engineering drawing is improved, and meanwhile, the accuracy of identifying the component is also improved.

Optionally, in an embodiment of the present application, before sorting the plurality of atom data, the method further includes: for each of the plurality of atomic data, determining whether the dimensional coordinates in the atomic data correspond to the dimensional coordinates in the feature information of the target member; if not, the atomic data is removed from the plurality of atomic data. In the implementation process of the scheme, under the condition that the size coordinates in the atomic data do not accord with the size coordinates in the characteristic information of the target component, the atomic data are removed from the atomic data, so that the accuracy of the atomic characteristic level after the size coordinates are screened is realized, the efficiency of identifying the component from the engineering drawing is improved, and meanwhile, the accuracy of identifying the component is also improved.

Optionally, in an embodiment of the present application, performing a sequence contrast calculation on the contrast matrix includes: and performing sequence similarity calculation on the comparison matrix by using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence. In the implementation process of the scheme, the dynamic programming algorithm is used for carrying out sequence similarity calculation on the comparison matrix, and whether the drawing to be processed comprises the target component or not is determined according to the obtained similarity score between the first sequence and the second sequence, so that the condition of identifying the component in a manual identification mode is effectively improved, and the efficiency of identifying the component from the engineering drawing is effectively improved.

Optionally, in an embodiment of the present application, performing sequence similarity calculation on the comparison matrix by using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence, including: if the attribute category in the first sequence is similar to the attribute category in the second sequence, increasing the similarity score between the first sequence and the second sequence; and/or increasing the similarity score between the first sequence and the second sequence if the dimensional coordinates in the first sequence are similar to the dimensional coordinates in the second sequence. In the implementation process of the scheme, the similarity score between the first sequence and the second sequence is calculated through the attribute category and/or the size coordinate in the sequence, so that the situation of directly calculating the overall similarity of the sequences is improved, and the accuracy of score calculation is effectively increased through locally adjusting the similarity score.

Optionally, in an embodiment of the present application, determining whether the drawing to be processed includes the target member according to the comparison result includes: judging whether the similarity score between the first sequence and the second sequence is larger than a preset threshold value or not; if yes, determining that the drawing to be processed comprises the target component, otherwise, determining that the drawing to be processed does not comprise the target component.

Optionally, in an embodiment of the present application, the method further includes: the method comprises the steps of obtaining a characteristic information queue, wherein the characteristic information queue comprises the following steps: characteristic information of a plurality of engineering components, the plurality of engineering components including a target component; and identifying at least one engineering component in the plurality of engineering components from the drawing to be processed according to the characteristic information of the plurality of engineering components. In the implementation process of the scheme, the plurality of engineering components are identified from the drawing to be processed according to the characteristic information of the plurality of engineering components, so that the workload of a designer for counting the engineering components in the drawing to be processed is reduced, and the efficiency of counting the engineering components in the drawing to be processed is effectively improved.

Optionally, in an embodiment of the present application, after identifying a plurality of engineering components from a drawing to be processed according to the feature information of the plurality of engineering components, the method further includes: acquiring component information of each of a plurality of engineering components, the component information including: component numbering of engineering components and relative positions of the engineering components in a drawing to be processed; the total number, component number, and/or relative position of the plurality of engineering components is output. In the implementation process of the scheme, the total number, the component numbers and/or the relative positions of the engineering components are output, so that the downstream automation program can further apply and calculate the total number, the component numbers and/or the relative positions of the engineering components, and the recognition efficiency and the processing efficiency of the computer automation drawing and the drawing are improved.

The embodiment of the application also provides a drawing component recognition device, which comprises: the graphic information extraction module is used for extracting graphic information from the drawing to be processed; the target information comparison module is used for comparing the graphic information with the characteristic information of the target component to obtain a comparison result; and the target component determining module is used for determining whether the drawing to be processed comprises a target component according to the comparison result.

Optionally, in an embodiment of the present application, the drawing member identifying device further includes: the atomic characteristic acquisition module is used for acquiring an engineering drawing of the target component and analyzing a plurality of atomic characteristics of the target component from the engineering drawing; the atomic feature ordering module is used for sequentially ordering the plurality of atomic features of the target component according to the abscissa and the ordinate in the atomic features to obtain ordered atomic features; the feature information obtaining module is used for obtaining a feature template table, filling the ordered atomic features into the feature template table, and obtaining feature information of the target component.

Optionally, in an embodiment of the present application, the target information comparing module includes: the atomic data analysis submodule is used for analyzing a plurality of atomic data from the graphic information; the atomic data sorting sub-module is used for sequentially sorting the plurality of atomic data according to the abscissa and the ordinate in the atomic data to obtain sorted atomic data; the comparison matrix construction submodule is used for constructing a comparison matrix by using a first sequence formed by attribute categories and size coordinates in the ordered atomic data and a second sequence formed by attribute categories and size coordinates in the characteristic information; and the comparison result obtaining submodule is used for carrying out sequence comparison calculation on the comparison matrix to obtain a comparison result, wherein the comparison result is the similarity score between the first sequence and the second sequence.

Optionally, in an embodiment of the present application, the target information comparing module further includes: an attribute type judging sub-module, configured to judge, for each of a plurality of atomic data, whether an attribute type in the atomic data is in feature information of a target member; and the first data eliminating sub-module is used for eliminating the atomic data from the plurality of atomic data if the attribute category in the atomic data is not in the characteristic information of the target component.

Optionally, in an embodiment of the present application, the target information comparing module further includes: a size coordinate judging sub-module, configured to judge, for each of a plurality of atomic data, whether the size coordinate in the atomic data conforms to the size coordinate in the feature information of the target member; and the second data eliminating sub-module is used for eliminating the atomic data from the plurality of atomic data if the size coordinates in the atomic data do not accord with the size coordinates in the characteristic information of the target component.

Optionally, in an embodiment of the present application, the comparison result obtaining sub-module includes: and the similarity score calculation unit is used for calculating the sequence similarity of the comparison matrix by using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence.

Optionally, in an embodiment of the present application, the similarity score calculating unit includes: an attribute category calculation subunit, configured to increase a similarity score between the first sequence and the second sequence if the attribute category in the first sequence is similar to the attribute category in the second sequence; and/or a size coordinate calculation subunit for increasing the similarity score between the first sequence and the second sequence if the size coordinates in the first sequence are similar to the size coordinates in the second sequence.

Optionally, in an embodiment of the present application, the target component determining module includes: the similarity score judging sub-module is used for judging whether the similarity score between the first sequence and the second sequence is larger than a preset threshold value or not; the target component determining sub-module is used for determining that the drawing to be processed comprises the target component if the similarity score between the first sequence and the second sequence is larger than a preset threshold value, or determining that the drawing to be processed does not comprise the target component.

Optionally, in an embodiment of the present application, the drawing member identifying device further includes: the characteristic information queue obtaining module is used for obtaining a characteristic information queue, wherein the characteristic information queue comprises: characteristic information of a plurality of engineering components, the plurality of engineering components including a target component; and the engineering component identification module is used for identifying at least one engineering component in the plurality of engineering components from the drawing to be processed according to the characteristic information of the plurality of engineering components.

Optionally, in an embodiment of the present application, the drawing member identifying device further includes: a construction information acquisition module for acquiring component information of each of a plurality of engineering components, the component information including: component numbering of engineering components and relative positions of the engineering components in a drawing to be processed; and the information output module is used for outputting the total number, the component numbers and/or the relative positions of the engineering components.

The embodiment of the application also provides electronic equipment, which comprises: a processor and a memory storing machine-readable instructions executable by the processor to perform the method as described above when executed by the processor.

Embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs a method as described above.

Additional features and advantages of embodiments of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of embodiments of the application.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application, and therefore should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort to those of ordinary skill in the art.

Fig. 1 is a schematic flow chart of a method for identifying a drawing member according to an embodiment of the present application;

FIG. 2 is a schematic diagram of an atomic feature extraction process according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a contrast matrix provided by an embodiment of the present application;

FIG. 4 is a schematic flow chart of identifying a plurality of engineering components according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a drawing member recognition device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the embodiments of the present application are only for the purpose of illustration and description, and are not intended to limit the scope of the embodiments of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the embodiments of the present application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to or removed from the flow diagrams by those skilled in the art under the direction of the teachings of the embodiments of the present application.

In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Accordingly, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the claimed embodiments of the application, but is merely representative of selected embodiments of the application.

It will be appreciated that "first" and "second" in embodiments of the application are used to distinguish similar objects. It will be appreciated by those skilled in the art that the words "first," "second," etc. do not limit the number and order of execution, and that the words "first," "second," etc. do not necessarily differ. In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship. The term "plurality" refers to two or more (including two), and similarly, "plurality" refers to two or more (including two).

Before describing the drawing component recognition method provided by the embodiment of the application, some concepts related in the embodiment of the application are described first:

computer aided design (Computer Aided Design, CAD) software, which refers to developed software for computer aided design (e.g., autoCAD) for two-dimensional drawing, detailed drawing, design documentation, and basic three-dimensional design, has a good user interface, and can perform various operations by interacting with menus or command lines.

The machine flow automation (Robotic Process Automation, RPA) technology can simulate the operation of staff on a computer through a keyboard and a mouse in daily work, and can replace the operation of human beings to log in a system, operate software, read and write data, download files, read mails and the like. The automatic robot is used as a virtual labor force of an enterprise, so that staff can be liberated from repeated and low-value work, and energy can be put into high-added-value work, thereby realizing the digital intelligent transformation of the enterprise, reducing the cost and increasing the benefit.

RPA is a software-based robot that uses a software robot to replace manual tasks in a business process and interacts with the front-end system of a computer like a person, so that RPA can be seen as a software-based program robot running on a personal PC or server that replaces human automation by mimicking operations performed by a user on a computer, such as retrieving mail, downloading attachments, logging in systems, data processing analysis, etc., to be fast, accurate, and reliable.

It should be noted that, the drawing component recognition method provided by the embodiment of the present application may be executed by an electronic device, where the electronic device refers to a device terminal or a server having a function of executing a computer program, where the device terminal is for example: smart phones, personal computers, tablet computers, personal digital assistants, or mobile internet appliances, etc. A server refers to a device that provides computing services over a network, such as: an x86 server and a non-x 86 server, the non-x 86 server comprising: mainframe, minicomputer, and UNIX servers.

The technical field to which the drawing member identification method is applicable is described below, and the drawing member identification method can be used for enhancing the drawing identification capability of an RPA robot for machine flow automation, and can also be used for adding the function of a computer automation program. For convenience of understanding and description, the description is given here by taking the drawing recognition capability of the enhanced RPA robot as an example, although the RPA robot solves the problems of speed and accuracy in human work through specific rules set as in the conventional physical robot, the conventional physical robot is a robot with combination of software and hardware, and needs to cooperate with software under specific hardware support to perform work; the RPA robot is in a pure software layer, and can be deployed into any PC or server to complete specified work as long as corresponding software is installed. Therefore, the drawing component recognition method can be used for enhancing the drawing recognition capability of the RPA robot in various application scenes.

The following describes the drawing component recognition method to enhance the application scenarios applicable to the RPA robot, where the application scenarios include, but are not limited to: in the application scenes of mechanical design processing, building bridges or industrial manufacturing and the like, the drawing component identification method can be used for identifying components such as bearings, rotor rollers or gears and the like from engineering drawings, and in the application scenes of building bridges, the drawing component identification method can be used for identifying components such as doors, windows, walls, beams or columns and the like from engineering drawings, so that the condition that the mode of using the manually identified components is low in efficiency is improved, and the efficiency of identifying the components from the engineering drawings is effectively improved.

That is, RPA is a way to perform business operations using "digital staff" instead of people and its related technologies, specifically for example: the target components of respective application scenes (such as scenes of mechanical design processing, building bridges or industrial manufacturing) can be identified from engineering drawings by simulating human implementation through software automation technologies such as RPA, after the target components are identified, information (such as relative positions, absolute coordinates or area ratios) of the target components in the drawings can be further identified, and the information is provided for downstream application programs to be used, so that the computer automation drawing identification and drawing identification efficiency and processing efficiency are realized.

Please refer to fig. 1, which is a schematic flow chart of a drawing member recognition method according to an embodiment of the present application; the embodiment of the application provides a drawing member identification method, which comprises the following steps:

step S110: and extracting graphic information from the drawing to be processed.

It will be appreciated that the graphics information may include a plurality of atomic data, where each atomic data may include: data corresponding to fields such as attribute category and size coordinates. The attribute categories herein include, but are not limited to: straight line, circle, arc and other atomic categories, of course, attribute categories may also be custom categories, which may be composed of multiple atomic categories. The dimensional coordinates herein are determined according to the attribute category, and the dimensional coordinates of the straight line are, for example: the size of the straight line is the length, the coordinates of the straight line are the first end point coordinates of the start point and the second end point coordinates of the end point, and the size coordinates of the circle are as follows: the size of a circle is the diameter or radius and the coordinates of the circle are the center point coordinates.

The embodiment of step S110 described above is, for example: and extracting the attribute type and the size coordinate corresponding to the attribute type from the drawing to be processed, and if the extracted attribute type is a straight line, extracting the length of the straight line, and the first end point coordinate of the starting point and the second end point coordinate of the ending point of the straight line. Assuming that the extracted attribute category is a circle, the diameter or radius of the circle, and the center point coordinates of the circle can be extracted.

Step S120: and comparing the graphic information with the characteristic information of the target component to obtain a comparison result.

In the process of comparing the graphic information with the feature information of the target member, each atomic data analyzed in the graphic information may be searched and compared with a plurality of atomic features in the feature information of the target member, which may be understood as comparing each member graphic in the image to be processed with the target member.

Step S130: and determining whether the drawing to be processed comprises a target component according to the comparison result.

The comparison result may be a similarity score or a similarity probability between the graphic information and the feature information of the target member, where the similarity score or the similarity probability is used to characterize the similarity between the member graphic and the target member in the drawing to be processed.

In the implementation process, the graphic information extracted from the drawing to be processed is compared with the characteristic information of the target component, and whether the drawing to be processed comprises the target component is determined according to the comparison result, so that the condition of identifying the component in a manual identification mode is effectively improved, and the efficiency of identifying the component from the engineering drawing is effectively improved.

Please refer to fig. 2, which illustrates a schematic diagram of an extraction process of atomic features according to an embodiment of the present application; as an alternative embodiment of the drawing member identification method, before comparing the graphic information with the feature information of the target member in step S120, the method may further include:

step S121: and obtaining an engineering drawing of the target component, and analyzing a plurality of atomic characteristics of the target component from the engineering drawing.

Embodiments of step S121 described above include, but are not limited to: the atomic characteristics are parsed from the engineering drawing by calling an application program interface (Application Programming Interface, API), this embodiment specifically being for example: and acquiring an electronic image of the engineering drawing of the target component, and converting absolute coordinates of all points in the electronic image into relative coordinates of the points to obtain the electronic image of the relative coordinates. Then, a plurality of atomic features (e.g., the middle table in fig. 2) of the target member are parsed from the electronic image of the relative coordinates by calling an application program interface API, where the API may be written using a macro language (Visual Basic for Applications, VBA), where the plurality of atomic features includes: the dimensional coordinates of the straight line numbered 1 include: the dimensional coordinates of the straight line with the starting end point (0, a), the ending end point (a, a), the length a and the number 2 include: the dimensional coordinates of the straight line with the starting end point (a, 0), the ending end point (a, a) and the length a and the number 3 include: the dimensional coordinates of the straight line with the starting end point (0, 0), the ending end point (a, 0), the length a and the number 4 include: the dimensional coordinates of the circle having a length of a and a number of 5, where the starting end point is (0, 0) and the ending end point is (0, a), include: the center point is (a/2 ) and the diameter is a.

Step S122: and sequencing the plurality of atomic features of the target member according to the abscissa and the ordinate in the atomic features in sequence to obtain sequenced atomic features.

The embodiment of step S122 described above is, for example: assuming that the number order of the plurality of atomic features of the target member is 1, 2, 3, 4, and 5 in order, the number order of the atomic features after sorting the plurality of atomic features of the target member in order according to the abscissa and the ordinate in the atomic features is 4, 3, 5, 1, and 2 in order.

Step S123: and acquiring a characteristic template table, and filling the ordered atomic characteristics into the characteristic template table to obtain the characteristic information of the target component.

The embodiment of step S123 described above is, for example: acquiring a characteristic template table from a storage medium, and filling the ordered atomic characteristics into the characteristic template table to obtain characteristic information of a target component; the storage medium herein may be an Object storage (Object storage), a memory, a disk, or the like.

As an alternative embodiment of the above step S120, in the process of comparing the graphic information with the feature information of the target member, the comparison may be performed according to a comparison matrix, and the embodiment may include:

Step S124: a plurality of atomic data are parsed from the graphic information.

It will be appreciated that the graphics information may include a plurality of atomic data, where each atomic data may include: data corresponding to fields such as attribute category and size coordinates. Accordingly, a plurality of atomic data may be parsed from the graphic information using an executable program compiled or interpreted in a preset programming language.

The embodiment of step S124 described above is, for example: after extracting the graphic information from the drawing to be processed, the absolute coordinates of all points in the graphic information can be converted into the relative coordinates of the points, so that the graphic information of the relative coordinates can be obtained. Then, atomic characteristic extraction and analysis are carried out on the graphic information of the relative coordinates, and a plurality of analyzed atomic data are obtained.

Step S125: and sequencing the plurality of atomic data according to the abscissa and the ordinate in the atomic data in sequence to obtain sequenced atomic data.

The implementation principle and implementation of this step S125 are similar to those of the step S122, and thus, the implementation principle and implementation thereof will not be described again here, and reference may be made to the description of the step S122 if it is not clear. It is to be appreciated that the atomic data may also be screened prior to the ordering of the atomic data, where screening includes, but is not limited to: attribute screening and/or size coordinate screening, and the like, which are described in detail below.

Step S126: and constructing a comparison matrix by using a first sequence formed by attribute categories and size coordinates in the ordered atomic data and a second sequence formed by attribute categories and size coordinates in the characteristic information.

The embodiment of step S126 described above is, for example: assuming that the ordered atomic features are numbered sequentially 4, 3, 5, 1, and 2, the first sequence formed using the attribute categories and size coordinates in the ordered atomic data may include: straight lines, (0, 0), (0, a), straight lines, (0, a), (0, 0), circles, (a/2), a, straight lines, (0, a), (a, a), straight lines, (a, 0) and (a, a), and the like. Similarly, the second sequence formed by the attribute category and the size coordinate in the above feature information may include: attributes (e.g., straight line or circle, etc.), dimensional coordinates of a start point and dimensional coordinates of an end point, etc.

Step S127: and performing sequence comparison calculation on the comparison matrix to obtain a comparison result, wherein the comparison result is the similarity score between the first sequence and the second sequence.

It is to be understood that the comparison calculation in step S127 above may be specifically performed by using a dynamic programming algorithm, and the specific comparison calculation procedure will be described in detail below.

As a first alternative embodiment of the step S125, before sorting the plurality of atom data, attribute filtering may be further performed on the atom data, where an embodiment of attribute filtering includes:

step S125a: for each of the plurality of atomic data, it is determined whether an attribute category in the atomic data is in the feature information of the target member.

Step S125b: if the attribute category in the atomic data is not in the characteristic information of the target component, the atomic data is removed from the atomic data.

The embodiment of the above steps S125a to S125b is, for example: for each of the plurality of atomic data, determining whether the attribute category in the atomic data is in the feature information of the target member using an executable program compiled or interpreted using a preset programming language, wherein a programming language such as: C. c++, java, VBA, javaScript, LISP, shell, perl, ruby, python, PHP, etc. If the attribute category in the atomic data is not in the characteristic information of the target component, the executable program is used for eliminating the atomic data from a plurality of atomic data.

As a second alternative embodiment of the above step S125, before sorting the plurality of atomic data, size coordinate filtering may be further performed on the atomic data, where an embodiment of size coordinate filtering may include:

Step S125c: for each of the plurality of atomic data, it is determined whether or not the dimensional coordinates in the atomic data match the dimensional coordinates in the feature information of the target member.

Step S125d: and if the size coordinates in the atomic data do not accord with the size coordinates in the characteristic information of the target component, eliminating the atomic data from a plurality of atomic data.

The embodiment of the step S125c to the step S125d is similar to the embodiment and the principle of the step S125a to the step S125b, and therefore, the embodiment and the principle of the embodiment are not explained here, and if not clear, reference may be made to the description of the step S125a to the step S125 b.

Please refer to fig. 3, which illustrates a schematic diagram of a contrast matrix provided by an embodiment of the present application; as an alternative embodiment of the above step S127, when performing the sequence comparison calculation on the comparison matrix, a dynamic programming algorithm may be used for calculation, and this embodiment may include:

step S127a: and performing sequence similarity calculation on the comparison matrix by using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence.

The first embodiment of step S127a described above is, for example: sequence similarity calculation is performed on the alignment matrix by using a dynamic programming algorithm such as needleman-wunsch or smith-waterman to obtain a similarity score between the first sequence and the second sequence. The inputs of the dynamic programming algorithm such as needleman-wunsch or smith-waterman are a plurality of elements of the first sequence in the comparison matrix and a plurality of elements of the second sequence in the comparison matrix, similarity between each element of the plurality of elements of the first sequence and each element of the plurality of elements of the second sequence is calculated to obtain a similarity score of each two elements, and then the similarity scores of each two elements are added up to obtain the similarity score between the first sequence and the second sequence. Thus, the output of the dynamic programming algorithm described above for needleman-wunsch or smith-waterman, etc., is the similarity score between the first sequence and the second sequence.

As a second alternative embodiment of the above-described step S127a, the similarity score may be calculated separately for the attribute category and the size coordinate, respectively, and this embodiment may be, for example:

step S127b: if the attribute category in the first sequence is similar to the attribute category in the second sequence, increasing the similarity score between the first sequence and the second sequence;

and/or the number of the groups of groups,

step S127c: if the size coordinates in the first sequence are similar to the size coordinates in the second sequence, increasing the similarity score between the first sequence and the second sequence.

Wherein, the elements in the first sequence and the elements in the second sequence may include: and finally, adding the similarity scores of all the atomic data to obtain the similarity score between the first sequence and the second sequence.

It may be appreciated that the core idea of the dynamic programming algorithm is to increase the similarity score according to a preset score value if the attribute type and/or the size coordinate in the first sequence is similar to the attribute type and/or the size coordinate in the second sequence, where the preset score value is set according to a specific situation, for example, the preset score value may be set to 3 points or 5 points.

As an alternative embodiment of the above step S130, when determining whether the drawing to be processed includes the target member according to the comparison result, the determining may be performed according to the similarity score, and the embodiment may include:

step S131: and judging whether the similarity score between the first sequence and the second sequence is larger than a preset threshold value.

Step S132: and if the similarity score between the first sequence and the second sequence is greater than a preset threshold value, determining that the drawing to be processed comprises the target component.

Step S133: and if the similarity score between the first sequence and the second sequence is smaller than or equal to a preset threshold value, determining that the drawing to be processed does not comprise the target component.

The embodiment of step S131 to step S133 described above is, for example: an executable program compiled or interpreted using a predetermined programming language determines whether a similarity score between the first sequence and the second sequence is greater than a predetermined threshold. And if the similarity score between the first sequence and the second sequence is greater than a preset threshold value, determining that the drawing to be processed comprises the target component by using an executable program. And if the similarity score between the first sequence and the second sequence is smaller than or equal to a preset threshold value, determining that the drawing to be processed does not comprise the target component by using an executable program. Among these, programming languages that can be used are, for example: C. c++, java, VBA, javaScript, LISP, shell, perl, ruby, python, PHP, etc.

Referring to fig. 4, a schematic flow chart of identifying a plurality of engineering components according to an embodiment of the present application is shown; as an alternative embodiment of the drawing member identification method, a plurality of engineering members may be identified, and the embodiment may include:

step S210: the method comprises the steps of obtaining a characteristic information queue, wherein the characteristic information queue comprises the following steps: characteristic information of a plurality of engineering components, the plurality of engineering components including the target component.

The feature information queue (Feature Information Queue) refers to a queue set including a plurality of feature information, and the feature information queue may include atomic features of a plurality of engineering components, so that each atomic feature in the feature information may be searched and compared with a plurality of atomic data in the image information, and it may be understood that a component graph corresponding to the graphic information may be compared with a plurality of engineering components in the feature information queue, and a specific comparison manner should not be construed as a limitation of the embodiment of the present application.

It will be appreciated that since the plurality of engineering components includes the target component, when identifying the target component of the plurality of engineering components, the above-described steps S110 to S130 may be employed to identify the target component. In identifying other ones of the plurality of engineering components (i.e., not the target component above), other ones of the plurality of engineering components may be identified in other manners. Of course, in a specific implementation, steps S110 to S130 may also be used to identify all of the plurality of engineering components.

Embodiments of step S210 described above include, but are not limited to: the first obtaining mode is to receive the characteristic information queues sent by other terminal equipment and store the characteristic information queues into a file system, a database or a mobile storage device; the second obtaining manner obtains a pre-stored characteristic information queue, specifically for example: acquiring a characteristic information queue from a file system, a database or a mobile storage device; and in a third obtaining mode, the characteristic information queue on the internet is obtained by using software such as a browser or other application programs to access the internet to download the characteristic information queue, so that the characteristic information queue is obtained. It will be appreciated that after the feature information queue is obtained, the feature information of the plurality of engineering components may also be parsed from the feature information queue using an executable program compiled or interpreted in a preset programming language.

Step S220: and identifying at least one engineering component in the plurality of engineering components from the drawing to be processed according to the characteristic information of the plurality of engineering components.

The embodiment of step S220 described above is, for example: and respectively extracting the graphic information from the drawing to be processed and comparing the graphic information with the feature information of the engineering component aiming at the feature information of each engineering component in the plurality of engineering components, and determining whether the drawing to be processed comprises the engineering component according to the comparison result so as to identify at least one engineering component in the plurality of engineering components in the drawing to be processed.

As an alternative embodiment of the drawing component recognition method, after recognizing the plurality of engineering components, the related information (such as total number, component number, and/or relative position) of the plurality of engineering components may be further output, and the embodiment may include:

step S220: acquiring component information of each of a plurality of engineering components, the component information including: component numbering of the engineering components, and the relative position of the engineering components in the drawing to be processed.

Step S230: the total number, component number, and/or relative position of the plurality of engineering components is output.

The embodiments of the above steps S220 to S230 are, for example: acquiring component information of each of a plurality of engineering components using an executable program compiled or interpreted in a preset programming language, the component information including: component numbering of engineering components and relative positions of the engineering components in a drawing to be processed; among these, programming languages that can be used are, for example: C. c++, java, BASIC, javaScript, LISP, shell, perl, ruby, python, PHP, etc. Then, the executable program can be used for outputting the total number, the component number and/or the relative position of the engineering components, and the total number, the component number and/or the relative position of the engineering components are provided for the downstream automation program to be used, so that the downstream automation program can use the total number, the component number and/or the relative position of the engineering components to perform further application calculation, and the computer automation recognition drawing and the improvement of the recognition efficiency and the processing efficiency of the drawing are realized.

Please refer to fig. 5, which illustrates a schematic structural diagram of a drawing member recognition device according to an embodiment of the present application; the embodiment of the application provides a drawing member identification device 300, which comprises:

the graphic information extraction module 310 is configured to extract graphic information from a drawing to be processed.

The target information comparing module 320 is configured to compare the graphic information with the feature information of the target member to obtain a comparison result.

The target component determining module 330 is configured to determine whether the drawing to be processed includes a target component according to the comparison result.

Optionally, in an embodiment of the present application, the drawing member identifying device further includes:

the atomic characteristic acquisition module is used for acquiring an engineering drawing of the target component and analyzing a plurality of atomic characteristics of the target component from the engineering drawing.

The atomic feature ordering module is used for sequentially ordering the plurality of atomic features of the target component according to the abscissa and the ordinate in the atomic features to obtain ordered atomic features.

The feature information obtaining module is used for obtaining a feature template table, filling the ordered atomic features into the feature template table, and obtaining feature information of the target component.

Optionally, in an embodiment of the present application, the target information comparing module includes:

And the atomic data analysis submodule is used for analyzing a plurality of atomic data from the graphic information.

And the atomic data sorting sub-module is used for sequentially sorting the plurality of atomic data according to the abscissa and the ordinate in the atomic data to obtain sorted atomic data.

And the contrast matrix construction submodule is used for constructing a contrast matrix by using a first sequence formed by attribute categories and size coordinates in the ordered atomic data and a second sequence formed by attribute categories and size coordinates in the characteristic information.

And the comparison result obtaining submodule is used for carrying out sequence comparison calculation on the comparison matrix to obtain a comparison result, wherein the comparison result is the similarity score between the first sequence and the second sequence.

Optionally, in an embodiment of the present application, the target information comparing module further includes:

and the attribute type judging sub-module is used for judging whether the attribute type in the atomic data is in the characteristic information of the target component for each atomic data in the plurality of atomic data.

And the first data eliminating sub-module is used for eliminating the atomic data from the plurality of atomic data if the attribute category in the atomic data is not in the characteristic information of the target component.

Optionally, in an embodiment of the present application, the target information comparing module further includes:

and the size coordinate judging sub-module is used for judging whether the size coordinate in the atomic data accords with the size coordinate in the characteristic information of the target component for each atomic data in the atomic data.

And the second data eliminating sub-module is used for eliminating the atomic data from the plurality of atomic data if the size coordinates in the atomic data do not accord with the size coordinates in the characteristic information of the target component.

Optionally, in an embodiment of the present application, the comparison result obtaining sub-module includes:

and the similarity score calculation unit is used for calculating the sequence similarity of the comparison matrix by using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence.

Optionally, in an embodiment of the present application, the similarity score calculating unit includes:

an attribute category calculation subunit, configured to increase a similarity score between the first sequence and the second sequence if the attribute category in the first sequence is similar to the attribute category in the second sequence;

and/or the number of the groups of groups,

and the size coordinate calculation subunit is used for increasing the similarity score between the first sequence and the second sequence if the size coordinates in the first sequence are similar to the size coordinates in the second sequence.

Optionally, in an embodiment of the present application, the target component determining module includes:

and the similarity score judging sub-module is used for judging whether the similarity score between the first sequence and the second sequence is larger than a preset threshold value.

The target component determining sub-module is used for determining that the drawing to be processed comprises the target component if the similarity score between the first sequence and the second sequence is larger than a preset threshold value, or determining that the drawing to be processed does not comprise the target component.

Optionally, in an embodiment of the present application, the drawing member identifying device further includes:

the characteristic information queue obtaining module is used for obtaining a characteristic information queue, wherein the characteristic information queue comprises: characteristic information of a plurality of engineering components, the plurality of engineering components including the target component.

And the engineering component identification module is used for identifying at least one engineering component in the plurality of engineering components from the drawing to be processed according to the characteristic information of the plurality of engineering components.

Optionally, in an embodiment of the present application, the drawing member identifying device further includes:

a construction information acquisition module for acquiring component information of each of a plurality of engineering components, the component information including: component numbering of engineering components and relative positions of the engineering components in a drawing to be processed;

And the information output module is used for outputting the total number, the component numbers and/or the relative positions of the engineering components.

It should be understood that the apparatus corresponds to the above embodiment of the drawing member identification method, and is capable of executing the steps involved in the above embodiment of the method, and specific functions of the apparatus may be referred to the above description, and detailed descriptions thereof are omitted herein as appropriate. The device includes at least one software functional module that can be stored in memory in the form of software or firmware (firmware) or cured in an Operating System (OS) of the device.

Please refer to fig. 6, which illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application. An electronic device 400 provided in an embodiment of the present application includes: a processor 410 and a memory 420, the memory 420 storing machine-readable instructions executable by the processor 410, which when executed by the processor 410 perform the method as described above.

The embodiment of the present application also provides a computer readable storage medium 430, on which computer readable storage medium 430 a computer program is stored which, when executed by the processor 410, performs a method as above.

The computer-readable storage medium 430 may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.

It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.

In the embodiments of the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

In addition, the functional modules of the embodiments of the present application may be integrated together to form a single part, or the modules may exist separately, or two or more modules may be integrated to form a single part. Furthermore, in the description herein, the descriptions of the terms "one embodiment," "some embodiments," "examples," "specific examples," "some examples," and the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

The foregoing description is merely an optional implementation of the embodiment of the present application, but the scope of the embodiment of the present application is not limited thereto, and any person skilled in the art may easily think about changes or substitutions within the technical scope of the embodiment of the present application, and the changes or substitutions are covered by the scope of the embodiment of the present application.

Claims (11)

1. A method of identifying a drawing member, comprising:

extracting graphic information from a drawing to be processed;

comparing the graphic information with the characteristic information of the target component to obtain a comparison result;

and determining whether the drawing to be processed comprises the target component according to the comparison result.

2. The method of claim 1, further comprising, prior to said comparing said graphical information with characteristic information of a target component:

obtaining an engineering drawing of the target component, and analyzing a plurality of atomic characteristics of the target component from the engineering drawing;

sequentially sorting the plurality of atomic features of the target member according to the abscissa and the ordinate in the atomic features to obtain sorted atomic features;

and acquiring a characteristic template table, and filling the ordered atomic characteristics into the characteristic template table to obtain the characteristic information of the target component.

3. The method of claim 1, wherein comparing the graphical information with characteristic information of a target component comprises:

analyzing a plurality of atomic data from the graphic information;

Sequentially sorting the plurality of atomic data according to the abscissa and the ordinate in the atomic data to obtain sorted atomic data;

constructing a contrast matrix by using a first sequence formed by attribute categories and size coordinates in the ordered atomic data and a second sequence formed by attribute categories and size coordinates in the characteristic information;

and performing sequence comparison calculation on the comparison matrix to obtain the comparison result, wherein the comparison result is the similarity score between the first sequence and the second sequence.

4. The method of claim 3, further comprising, prior to said ordering said plurality of atomic data:

for each atomic data in the plurality of atomic data, judging whether the attribute category in the atomic data is in the characteristic information of the target component;

if not, the atomic data is removed from the plurality of atomic data.

5. The method of claim 3, further comprising, prior to said ordering said plurality of atomic data:

for each atomic data in the plurality of atomic data, judging whether the size coordinates in the atomic data conform to the size coordinates in the characteristic information of the target member;

If not, the atomic data is removed from the plurality of atomic data.

6. A method according to claim 3, wherein said performing a sequence contrast calculation on said contrast matrix comprises:

and performing sequence similarity calculation on the comparison matrix by using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence.

7. The method of claim 6, wherein the performing sequence similarity calculation on the comparison matrix using a dynamic programming algorithm to obtain a similarity score between the first sequence and the second sequence comprises:

if the attribute category in the first sequence is similar to the attribute category in the second sequence, increasing the similarity score between the first sequence and the second sequence;

and/or the number of the groups of groups,

and if the size coordinates in the first sequence are similar to the size coordinates in the second sequence, increasing the similarity score between the first sequence and the second sequence.

8. A method according to claim 3, wherein said determining whether the target member is included in the drawing to be processed according to the comparison result comprises:

Judging whether the similarity score between the first sequence and the second sequence is larger than a preset threshold value or not;

if yes, determining that the drawing to be processed comprises the target component, otherwise, determining that the drawing to be processed does not comprise the target component.

9. The method according to any one of claims 1-8, further comprising:

acquiring a characteristic information queue, wherein the characteristic information queue comprises: characteristic information of a plurality of engineering components, the plurality of engineering components including the target component;

and identifying at least one engineering component in the engineering components from the drawing to be processed according to the characteristic information of the engineering components.

10. The method of claim 9, further comprising, after the identifying the plurality of engineering components from the drawing to be processed according to the characteristic information of the plurality of engineering components:

acquiring component information of each of the plurality of engineering components, the component information including: the component number of the engineering component and the relative position of the engineering component in the drawing to be processed;

outputting a total number of the plurality of engineering components, the component number, and/or the relative position.

11. An electronic device, comprising: a processor and a memory storing machine-readable instructions executable by the processor to perform the method of any one of claims 1 to 10 when executed by the processor.