Drawing conversion method and system combined with scene data recognition

Abstract

The present invention relates to the field related to drawing data processing, and discloses a drawing conversion method and system combined with scene data recognition. By performing scene-based recognition on the drawing content, the processing operation content corresponding to the drawing and the corresponding process standards and processing specification standards can be understood, so that the overall processing content can be split into steps based on the process, and multiple layer data corresponding to the processing process steps with a sequence corresponding to the standard process specifications can be established, which can help users better and more conveniently understand the drawing data content and facilitate the rapid development and standardized execution of work.

Description

Technical Field

[0001] The present invention relates to the field related to drawing data processing, and in particular to a drawing conversion method and system combined with scene data recognition. Background Art

[0002] Drawings are used as a bridge to communicate ideas between designers and constructors. There are certain specifications when drawing. The content and specifications of the structure are expressed through annotation information. However, drawings can only convey ideas through simple lines and annotations, and cannot dynamically express how to implement the content of the drawings.

[0003] Therefore, for the construction party, if the drawings cannot be interpreted in detail, there will inevitably be some misunderstandings and differences in construction selection specifications, which will cause the final construction effect to deviate from the designer's original design plan. Therefore, how to transform the drawings and assist the construction party to understand the drawings more conveniently is of great significance to improving construction execution. Summary of the invention

[0004] The purpose of the present invention is to provide a drawing conversion method and system combined with scene data recognition to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A drawing conversion method combined with scene data recognition comprises the following steps:

[0007] Obtain corresponding scene feature data based on drawing data and user feedback to determine the corresponding operation scene of the drawing content, where the operation scene is used to characterize the working environment with different specific operation types and safety processes;

[0008] Retrieve the operation process standard corresponding to the current operation scene through the preset operation specification library, wherein the operation process standard is used to characterize the operation flow of different types of objects, the nested relationship between the operation processes, and the processing specification standard under the operation scene;

[0009] Performing feature recognition on the drawing data based on the operation process standard, and marking the drawing features based on the feature recognition result, wherein the process marking is based on the process nesting relationship sequence marking of multiple features in the drawing data in the processing operation flow;

[0010] Establish the same number of split layers as the sequential marking sequence, perform reverse splitting and restoration of the features of the drawing data based on the process markings, generate multiple groups of process drawings respectively, and copy and store the process drawings in the split layers, which can be used for separate output.

[0011] As a further solution of the present invention, the steps of establishing the same number of split layers as the sequential mark sequence, splitting and restoring the drawing data in reverse order based on the process marks, and generating multiple sets of process drawings respectively specifically include:

[0012] Based on the final mark value of the process mark, an equal number of split layers are established, and the split layers are blank layers for recording drawing data;

[0013] Obtain the processing specification standards of the corresponding drawing features in reverse order of the process marks, retrieve the processing specification standards according to the feature recognition results corresponding to the process marks, and match the corresponding dimensions and specification requirements;

[0014] Based on the dimensions and specification requirements, the corresponding drawing features are restored to obtain the restored drawing data before the corresponding process is executed, and the restored drawing data is recorded in the split layer to generate a process drawing.

[0015] As a further solution of the present invention: the step of obtaining corresponding scene feature data based on the drawing data and user feedback to determine the corresponding operation scene of the drawing content specifically includes:

[0016] Identify the annotation and comment content of the drawing data, obtain user feedback information through an interactive program, and identify and transform the user feedback information to obtain basic identification content;

[0017] Perform keyword screening based on the basic recognition content to obtain corresponding scene feature data, where the scene feature data is used to characterize the content that can distinguish the corresponding type of the drawing data;

[0018] The scene feature data is matched according to a preset scene matching library to obtain a corresponding operation scene.

[0019] As a further solution of the present invention: the step of identifying the features of the drawing data based on the operation process standard and marking the process of the drawing features based on the feature identification result specifically includes:

[0020] Based on the corresponding operation process standards, the main structure type, finishing processing type and corresponding processing specification standards of the processing content corresponding to multiple nested processes of the current drawing data are obtained, so as to establish the feature recognition benchmark of different processes, wherein the main structure type is used to characterize the object structure generated by the current process operation or the basic object structure acted on by the finishing processing type;

[0021] Based on the reverse order of the operation process standard, the drawing data is feature recognized one by one according to the feature recognition benchmark to identify the main structure or finishing process corresponding to the process, and the process is marked based on the process nesting relationship.

[0022] As a further solution of the present invention: it also includes the steps of:

[0023] Obtain the user's output auxiliary requirements and respond to them, and translate and annotate the processing execution method and processing requirements of the drawing features based on the processing specification standard of the current split layer. The processing execution method is used to characterize the processing specification solution for realizing the drawing features;

[0024] Execute the feedback output program of the output auxiliary requirement, output textual annotations corresponding to the drawing features and convert them into simulated voice output.

[0025] The embodiment of the present invention aims to provide a drawing conversion system combined with scene data recognition, comprising:

[0026] A scene judgment module is used to obtain corresponding scene feature data based on drawing data and user feedback to determine the corresponding operation scene of the drawing content. The operation scene is used to characterize the working environment with different specific operation types and safety processes;

[0027] A standard matching module is used to retrieve the operation process standard corresponding to the current operation scene through a preset operation specification library. The operation process standard is used to characterize the operation flow of different types of objects, the nested relationship between operation processes, and the processing specification standard under the operation scene;

[0028] A process marking module is used to perform feature recognition on the drawing data based on the operation process standard, and to perform process marking on the drawing features based on the feature recognition result, wherein the process marking is based on the process nesting relationship sequence marking of multiple features in the drawing data in the processing operation flow;

[0029] The layer splitting module is used to establish the same number of split layers as the sequential marking sequence, split and restore the features of the drawing data in reverse order based on the process markings, generate multiple groups of process drawings respectively, and copy and store the process drawings in the split layers. The split layers can be used for separate output.

[0030] As a further solution of the present invention: the layer splitting module includes:

[0031] A layer establishment unit, used for establishing an equal number of split layers based on the final mark value of the process mark, wherein the split layers are blank layers for recording drawing data;

[0032] The specification matching unit is used to obtain the processing specification standards of the corresponding drawing features according to the reverse order of the process mark, retrieve the processing specification standards according to the feature recognition results corresponding to the process mark, and match the corresponding dimensions and specification requirements;

[0033] The layer restoration unit is used to restore the corresponding drawing features based on the size and specification requirements to obtain the restored drawing data before the corresponding process is executed, and record the restored drawing data in the split layer to generate a process drawing.

[0034] As a further solution of the present invention: the scene determination module specifically includes:

[0035] A basic recognition unit is used to recognize the annotation and annotation content of the drawing data, obtain user feedback information through an interactive program, and recognize and transform the user feedback information to obtain basic recognition content;

[0036] A feature picking unit, used to perform keyword screening based on the basic recognition content to obtain corresponding scene feature data, wherein the scene feature data is used to characterize the content that can distinguish the corresponding type of the drawing data;

[0037] The scene matching unit is used to match the scene feature data according to a preset scene matching library to obtain a corresponding operation scene.

[0038] As a further solution of the present invention: the process marking module specifically includes:

[0039] The process content splitting unit is used to obtain the main structure type, finishing processing type and corresponding processing specification standard of the processing content corresponding to multiple nested processes corresponding to the current drawing data based on the corresponding operation process standard, so as to establish the feature recognition benchmark of different processes, wherein the main structure type is used to characterize the object structure generated by the current process operation or the basic object structure acted on by the finishing processing type;

[0040] The process feature matching unit is used to perform feature recognition on the drawing data one by one according to the feature recognition benchmark based on the reverse order of the operation process standard, so as to identify the main structure or finishing processing corresponding to the process, and mark the process based on the process nesting relationship.

[0041] As a further solution of the present invention: it also includes an auxiliary output module, specifically comprising:

[0042] The annotation unit is used to obtain the user's output auxiliary requirements and respond to them, and to translate and annotate the processing execution method and processing requirements of the drawing features based on the processing specification standard of the current split layer. The processing execution method is used to characterize the processing specification scheme for realizing the drawing features;

[0043] The output unit is used to execute the feedback output program of the output auxiliary demand, output the textual annotations corresponding to the drawing features and convert them into simulated voice output.

[0044] Compared with the prior art, the beneficial effects of the present invention are: by performing scenario-based recognition on the drawing content, in order to understand the processing work content corresponding to the drawing and the corresponding process standards and processing specification standards, etc., the overall processing content can be split into steps based on the process, and multiple layer data corresponding to the processing process steps with a sequence corresponding to the standard process specifications can be established, which can help users better and more conveniently understand the drawing data content and facilitate the rapid development and standardized execution of work. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A flowchart of a drawing conversion method combined with scene data recognition.

[0046] Figure 2 The invention provides steps for establishing split layers in a drawing conversion method combined with scene data recognition.

[0047] Figure 3 This is a block diagram of the drawing conversion system combined with scene data recognition. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0049] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0050] like Figure 1 The drawing conversion method combined with scene data recognition provided by an embodiment of the present invention comprises the following steps:

[0051] S10, acquiring corresponding scene feature data based on the drawing data and user feedback to determine the corresponding operation scene of the drawing content, wherein the operation scene is used to characterize the working environment of different specific operation types and safety processes;

[0052] S20, retrieving the operation process standard corresponding to the current operation scene through a preset operation specification library, wherein the operation process standard is used to characterize the operation flow of different types of objects, the nested relationship between the operation processes, and the processing specification standard under the operation scene;

[0053] S30, performing feature recognition on the drawing data based on the operation process standard, and performing process marking on the drawing features based on the feature recognition result, wherein the process marking is based on the process nesting relationship sequence marking of multiple features in the drawing data in the processing operation flow;

[0054] S40, establishing the same number of split layers as the sequential marking sequence, performing reverse feature splitting and restoration on the drawing data based on the process markings, generating multiple sets of process drawings respectively, and copying and storing the process drawings in the split layers, and the split layers can be used for separate output.

[0055] In this embodiment, a drawing conversion method and system combined with scene data recognition are provided. By performing scene-based recognition on the drawing content, the processing work content corresponding to the drawing and the corresponding process standards and processing specification standards can be understood, so that the processing content can be split into steps based on the process as a whole, and multiple layer data corresponding to the processing process steps with a sequence corresponding to the standard process specifications can be established, which can facilitate users to better and more conveniently understand the drawing data content and facilitate the rapid development and standardized execution of work; specifically, the method provided in this embodiment is more suitable for use scenarios such as architectural decoration drawings, carpentry drawings, etc., or in the presence of strict and standardized non-stacked parts processing (overly stacked assembly drawings are difficult to split, so if applied, it is necessary to split the assembly parts before using this method); when it is determined that a drawing needs to be converted, the corresponding drawing data is obtained, and the drawing application scenario is judged according to the annotations and characteristic structures in the drawing (which can be understood as the engineering processing corresponding to the drawing Type and specific execution plan type, for example, whether the drawing is a decoration drawing type or a parts processing drawing type). When necessary, the user can also set the scene by requesting the user, and the application scenario can be learned through user feedback. After obtaining the application scenario, according to the specific type content, the matching point processing process requirements and specification standards will be set accordingly (for example, in the processing of a workpiece, a group of structures overlap in space, then there is a sequence of process requirements in the processing, and there is a certain impact on the processing results). Then, according to the process requirements and the annotation data of the corresponding structure in the drawing data, the specific processing standards used in the drawing can be judged, and then the corresponding structure can be restored (for example, if the cabinet is edge-sealed with specification a, then after identifying specification a through annotation, the drawing can be modified and restored based on the size of specification a, and the corresponding features can be deleted) to split the processing layers corresponding to the process, which is convenient for users to understand and use the drawings, and reduce the situation where the executor and designer's thinking directions are inconsistent and the product deviation occurs.

[0056] like Figure 2As shown, as another preferred embodiment of the present invention, the steps of establishing the same number of split layers as the sequential mark sequence, splitting and restoring the drawing data in reverse order of features based on the process marks, and generating multiple groups of process drawings respectively specifically include:

[0057] Based on the final mark value of the process mark, an equal number of split layers are established, and the split layers are blank layers for recording drawing data;

[0058] Obtain the processing specification standards of the corresponding drawing features in reverse order of the process marks, retrieve the processing specification standards according to the feature recognition results corresponding to the process marks, and match the corresponding dimensions and specification requirements;

[0059] Based on the dimensions and specification requirements, the corresponding drawing features are restored to obtain the restored drawing data before the corresponding process is executed, and the restored drawing data is recorded in the split layer to generate a process drawing.

[0060] In this embodiment, the acquisition of process drawings is described in steps. Specifically, the implementation process is based on the recognition of processing features in the drawings. When the processing features are identified and their corresponding order in the sequentially nested processing steps is determined, the complete drawings can be split into processes based on the reverse order of the processes (for example, the assembled spherical nested assembly is disassembled from the outermost layer), and a process drawing is established after each process is split.

[0061] As another preferred embodiment of the present invention, the step of acquiring corresponding scene feature data based on drawing data and user feedback to determine the corresponding operation scene of the drawing content specifically includes:

[0062] Identify the annotation and comment content of the drawing data, obtain user feedback information through an interactive program, and identify and transform the user feedback information to obtain basic identification content;

[0063] Perform keyword screening based on the basic recognition content to obtain corresponding scene feature data, where the scene feature data is used to characterize the content that can distinguish the corresponding type of the drawing data;

[0064] The scene feature data is matched according to a preset scene matching library to obtain a corresponding operation scene.

[0065] In this embodiment, the line width and line type, the corresponding feature mark name mark, and the characteristic structural combination in the drawing data can all be used to determine the work scene and specific content it is used for. Therefore, the scene feature data is obtained by screening it, and then used for scene matching. If the data in the drawing is difficult to achieve specific scene judgment, the scene can also be matched through manual input (i.e. feedback information); the scene matching library collects identifiable feature marks and characteristic structural combinations in different scenes to achieve matching retrieval of the scene.

[0066] As another preferred embodiment of the present invention, the step of identifying features of the drawing data based on the operation process standard and marking the drawing features based on the feature identification result specifically includes:

[0067] Based on the corresponding operation process standards, the main structure type, finishing processing type and corresponding processing specification standards of the processing content corresponding to multiple nested processes of the current drawing data are obtained, so as to establish the feature recognition benchmark of different processes, wherein the main structure type is used to characterize the object structure generated by the current process operation or the basic object structure acted on by the finishing processing type;

[0068] Based on the reverse order of the operation process standard, the drawing data is feature recognized one by one according to the feature recognition benchmark to identify the main structure or finishing process corresponding to the process, and the process is marked based on the process nesting relationship.

[0069] In this embodiment, during the process of process marking, the nested processes of standards and other specifications corresponding to the contents expressed in the drawings include complete coverage of the corresponding content processing flow, while what is actually expressed in the drawings is based on actual needs, so some processing flow processes will be omitted. Therefore, during the process of process marking, although it is sequential marking, it is not necessarily continuous marking.

[0070] As another preferred embodiment of the present invention, the steps are also included:

[0071] Obtain the user's output auxiliary requirements and respond to them, and translate and annotate the processing execution method and processing requirements of the drawing features based on the processing specification standard of the current split layer. The processing execution method is used to characterize the processing specification solution for realizing the drawing features;

[0072] Execute the feedback output program of the output auxiliary requirement, output textual annotations corresponding to the drawing features and convert them into simulated voice output.

[0073] In this embodiment, the steps of the drawing output method are supplemented. In some construction processes, construction workers may not be able to understand or fully understand the content expressed by designers through drawings (for example, in home decoration, construction workers may not be able to understand the designer's understanding of the structure such as the distribution of cabinets). Therefore, when using it, the corresponding structural features can be explained and annotated in turn based on the processing specifications according to the order of splitting the layers, and output through voice and text, which can effectively assist construction workers in understanding the drawings and provide standardized construction sequence plans in complex situations.

[0074] like Figure 3 As shown, the present invention also provides a drawing conversion system combined with scene data recognition, which comprises:

[0075] The scene judgment module 100 is used to obtain corresponding scene feature data based on the drawing data and user feedback to determine the corresponding operation scene of the drawing content, wherein the operation scene is used to characterize the working environment of different specific operation types and safety processes;

[0076] The standard matching module 200 is used to retrieve the operation process standard corresponding to the current operation scene through the preset operation specification library, and the operation process standard is used to characterize the operation flow of different types of objects, the nested relationship between the operation processes and the processing specification standard under the operation scene;

[0077] The process marking module 300 is used to perform feature recognition on the drawing data based on the operation process standard, and perform process marking on the drawing features based on the feature recognition result, wherein the process marking is based on the process nesting relationship sequence marking of multiple features in the drawing data in the processing operation flow;

[0078] The layer splitting module 400 is used to establish the same number of split layers as the sequential marking sequence, perform reverse feature splitting and restoration of the drawing data based on the process markings, generate multiple groups of process drawings respectively, and copy and store the process drawings in the split layers, and the split layers can be used for separate output.

[0079] As another preferred embodiment of the present invention, the layer splitting module 400 includes:

[0080] A layer establishment unit, used for establishing an equal number of split layers based on the final mark value of the process mark, wherein the split layers are blank layers for recording drawing data;

[0081] The specification matching unit is used to obtain the processing specification standards of the corresponding drawing features according to the reverse order of the process mark, retrieve the processing specification standards according to the feature recognition results corresponding to the process mark, and match the corresponding dimensions and specification requirements;

[0082] The layer restoration unit is used to restore the corresponding drawing features based on the size and specification requirements to obtain the restored drawing data before the corresponding process is executed, and record the restored drawing data in the split layer to generate a process drawing.

[0083] As another preferred embodiment of the present invention, the scene determination module 100 specifically includes:

[0084] A basic recognition unit is used to recognize the annotation and annotation content of the drawing data, obtain user feedback information through an interactive program, and recognize and transform the user feedback information to obtain basic recognition content;

[0085] A feature picking unit, used to perform keyword screening based on the basic recognition content to obtain corresponding scene feature data, wherein the scene feature data is used to characterize the content that can distinguish the corresponding type of the drawing data;

[0086] The scene matching unit is used to match the scene feature data according to a preset scene matching library to obtain a corresponding operation scene.

[0087] As another preferred embodiment of the present invention, the process marking module 300 specifically includes:

[0088] The process content splitting unit is used to obtain the main structure type, finishing processing type and corresponding processing specification standard of the processing content corresponding to multiple nested processes corresponding to the current drawing data based on the corresponding operation process standard, so as to establish the feature recognition benchmark of different processes, wherein the main structure type is used to characterize the object structure generated by the current process operation or the basic object structure acted on by the finishing processing type;

[0089] The process feature matching unit is used to perform feature recognition on the drawing data one by one according to the feature recognition benchmark based on the reverse order of the operation process standard, so as to identify the main structure or finishing processing corresponding to the process, and mark the process based on the process nesting relationship.

[0090] As another preferred embodiment of the present invention, it also includes an auxiliary output module, specifically comprising:

[0091] The annotation unit is used to obtain the user's output auxiliary requirements and respond to them, and to translate and annotate the processing execution method and processing requirements of the drawing features based on the processing specification standard of the current split layer. The processing execution method is used to characterize the processing specification scheme for realizing the drawing features;

[0092] The output unit is used to execute the feedback output program of the output auxiliary demand, output the textual annotations corresponding to the drawing features and convert them into simulated voice output.

[0093] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0094] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0095] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A drawing conversion method combined with scene data recognition, characterized in that: Contains steps: Obtain corresponding scene feature data based on drawing data and user feedback to determine the operation scene corresponding to the drawing content, where the operation scene is used to characterize different types of operation conditions and different safety operation processes; Retrieve the operation process standard corresponding to the current operation scene through the preset operation specification library, wherein the operation process standard is used to characterize the operation flow of different types of objects, the nested relationship between the operation processes, and the processing specification standard in the current operation scene; Performing feature recognition on the drawing data based on the operation process standard, and marking the drawing features based on the feature recognition result, wherein the process marking is based on the process nesting relationship sequence marking of multiple features in the drawing data in the processing operation flow; Establish the same number of split layers as the sequential marking sequence, perform reverse splitting and restoration of the features of the drawing data based on the process markings, generate multiple groups of process drawings respectively, and copy and store the process drawings in the split layers, which can be used for separate output.

2. The drawing conversion method combined with scene data recognition according to claim 1 is characterized in that: The steps of establishing the same number of split layers as the sequential mark sequence, splitting and restoring the drawing data in reverse order based on the process marks, and generating multiple groups of process drawings respectively specifically include: Based on the final mark value of the process mark, an equal number of split layers are established, and the split layers are blank layers for recording drawing data; Obtain the processing specification standards of the corresponding drawing features in reverse order of the process marks, retrieve the processing specification standards according to the feature recognition results corresponding to the process marks, and match the corresponding dimensions and specification requirements; Based on the dimensions and specification requirements, the corresponding drawing features are restored to obtain the restored drawing data before the corresponding process is executed, and the restored drawing data is recorded in the split layer to generate a process drawing.

3. The drawing conversion method combined with scene data recognition according to claim 1 is characterized in that: The step of obtaining corresponding scene feature data based on the drawing data and user feedback to determine the corresponding operation scene of the drawing content specifically includes: Identify the annotation and comment content of the drawing data, obtain user feedback information through an interactive program, and identify and transform the user feedback information to obtain basic identification content; Perform keyword screening based on the basic recognition content to obtain corresponding scene feature data, where the scene feature data is used to characterize the content that can distinguish the corresponding type of the drawing data; The scene feature data is matched according to a preset scene matching library to obtain a corresponding operation scene.

4. The drawing conversion method combined with scene data recognition according to claim 3 is characterized in that: The step of identifying the features of the drawing data based on the operation process standard and marking the process of the drawing features based on the feature identification result specifically includes: Based on the corresponding operation process standards, the main structure type, finishing processing type and corresponding processing specification standards of the processing content corresponding to multiple nested processes of the current drawing data are obtained, so as to establish the feature recognition benchmark of different processes, wherein the main structure type is used to characterize the object structure generated by the current process operation or the basic object structure acted on by the finishing processing type; Based on the reverse order of the operation process standard, the drawing data is feature recognized one by one according to the feature recognition benchmark to identify the main structure or finishing process corresponding to the process, and the process is marked based on the process nesting relationship.

5. The drawing conversion method combined with scene data recognition according to claim 1 is characterized in that: Also includes the steps: Obtain the user's output auxiliary requirements and respond to them, and translate and annotate the processing execution method and processing requirements of the drawing features based on the processing specification standard of the current split layer. The processing execution method is used to characterize the processing specification solution for realizing the drawing features; Execute the feedback output program of the output auxiliary requirement, output textual annotations corresponding to the drawing features and convert them into simulated voice output.

6. A drawing conversion system combined with scene data recognition, characterized in that: Include: A scene judgment module is used to obtain corresponding scene feature data based on drawing data and user feedback to judge the operation scene corresponding to the drawing content. The operation scene is used to characterize operation conditions of different types and different safety operation processes; A standard matching module is used to retrieve and obtain the operation process standards corresponding to the current operation scene through a preset operation specification library. The operation process standards are used to characterize the processing operation flow of different types of objects, the nested relationship between operation processes, and the processing specification standards in the current operation scene; A process marking module is used to perform feature recognition on the drawing data based on the operation process standard, and to perform process marking on the drawing features based on the feature recognition result, wherein the process marking is based on the process nesting relationship sequence marking of multiple features in the drawing data in the processing operation flow; The layer splitting module is used to establish the same number of split layers as the sequential marking sequence, split and restore the features of the drawing data in reverse order based on the process markings, generate multiple groups of process drawings respectively, and copy and store the process drawings in the split layers. The split layers can be used for separate output.

7. The drawing conversion system combined with scene data recognition according to claim 6 is characterized in that: The layer splitting module includes: A layer establishment unit, used for establishing an equal number of split layers based on the final mark value of the process mark, wherein the split layers are blank layers for recording drawing data; The specification matching unit is used to obtain the processing specification standards of the corresponding drawing features according to the reverse order of the process mark, retrieve the processing specification standards according to the feature recognition results corresponding to the process mark, and match the corresponding dimensions and specification requirements; The layer restoration unit is used to restore the corresponding drawing features based on the size and specification requirements to obtain the restored drawing data before the corresponding process is executed, and record the restored drawing data in the split layer to generate a process drawing.

8. The drawing conversion system combined with scene data recognition according to claim 6 is characterized in that: The scene judgment module specifically includes: A basic recognition unit is used to recognize the annotation and annotation content of the drawing data, obtain user feedback information through an interactive program, and recognize and transform the user feedback information to obtain basic recognition content; A feature picking unit, used to perform keyword screening based on the basic recognition content to obtain corresponding scene feature data, wherein the scene feature data is used to characterize the content that can distinguish the corresponding type of the drawing data; The scene matching unit is used to match the scene feature data according to a preset scene matching library to obtain a corresponding operation scene.

9. The drawing conversion system combined with scene data recognition according to claim 8, characterized in that: The process marking module specifically includes: The process content splitting unit is used to obtain the main structure type, finishing processing type and corresponding processing specification standard of the processing content corresponding to multiple nested processes corresponding to the current drawing data based on the corresponding operation process standard, so as to establish the feature recognition benchmark of different processes, wherein the main structure type is used to characterize the object structure generated by the current process operation or the basic object structure acted on by the finishing processing type; The process feature matching unit is used to perform feature recognition on the drawing data one by one according to the feature recognition benchmark based on the reverse order of the operation process standard, so as to identify the main structure or finishing processing corresponding to the process, and mark the process based on the process nesting relationship.

10. The drawing conversion system combined with scene data recognition according to claim 6, characterized in that: It also includes auxiliary output modules, including: The annotation unit is used to obtain the user's output auxiliary requirements and respond to them, and to translate and annotate the processing execution method and processing requirements of the drawing features based on the processing specification standard of the current split layer. The processing execution method is used to characterize the processing specification scheme for realizing the drawing features; The output unit is used to execute the feedback output program of the output auxiliary demand, output the textual annotations corresponding to the drawing features and convert them into simulated voice output.

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