CN113779681A - Building model establishing method and related device - Google Patents
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Abstract
The application provides a building model establishing method and a related device, firstly, extracting text information of a preset position of each building drawing in a building drawing file; then, setting a label for each construction drawing according to the text information of each construction drawing, wherein the label is used for indicating the construction information corresponding to each construction drawing; then, classifying each piece of building drawing according to the label to obtain the classified building drawings; and finally, building a building model according to the classified building drawings. The text information of the preset position of each drawing in the building drawing file can be automatically identified, the text information is analyzed into unified and structured information, corresponding labels are set, interference of different names of the building drawings is eliminated, and the modeling efficiency is greatly improved.
Description
Technical Field
The application relates to the technical field of building information models, in particular to a building model establishing method and a related device.
Background
With the development of technology, before Building construction is actually performed, a Building Information Model (BIM) is generally established, and a complete Building engineering Information base consistent with an actual situation is provided for the Building Information model by establishing a virtual Building engineering three-dimensional model and utilizing a digital technology. The information base not only contains geometrical information, professional attributes and state information describing building components, but also contains state information of non-component objects (such as space and motion behaviors). By means of the three-dimensional model containing the construction engineering information, the information integration degree of the construction engineering is greatly improved. However, the current BIM modeling depends on a building drawing provided by a user, the naming formats of the building drawings are often inconsistent, and the building drawings are required to be manually opened by the user for checking so as to be determined, and the efficiency of establishing the model is influenced.
Disclosure of Invention
In view of this, the present application provides a building model building method and a related apparatus, which can automatically identify text information of a tab bar of each drawing in a building drawing file, analyze the text information into uniform and structured information, set a corresponding tag, eliminate interference of different names of building drawings, and greatly improve modeling efficiency.
In a first aspect, an embodiment of the present application provides a building model building method, where the method includes:
extracting text information of a preset position of each building drawing in the building drawing file;
setting a label for each building drawing according to the text information of each building drawing, wherein the label is used for indicating the building information corresponding to each building drawing;
classifying each piece of building drawing according to the label to obtain the classified building drawings;
and establishing a building model according to the classified building drawings.
In a second aspect, an embodiment of the present application provides a building model building apparatus, including:
the text extraction unit is used for extracting text information of a preset position of each building drawing in the building drawing file;
the label setting unit is used for setting a label for each piece of construction drawing according to the text information of each piece of construction drawing, and the label is used for indicating the construction information corresponding to each piece of construction drawing;
the drawing classification unit is used for classifying each building drawing according to the label to obtain the classified building drawings;
and the model establishing unit is used for establishing a building model according to the classified building drawings.
In a third aspect, an embodiment of the present application provides a cloud server, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
Therefore, by the building model establishing method and the related device, firstly, the text information of the preset position of each building drawing in the building drawing file is extracted; then, setting a label for each construction drawing according to the text information of each construction drawing, wherein the label is used for indicating the construction information corresponding to each construction drawing; then, classifying each piece of building drawing according to the label to obtain the classified building drawings; and finally, building a building model according to the classified building drawings. The text information of the preset position of each drawing in the building drawing file can be automatically identified, the text information is analyzed into unified and structured information, corresponding labels are set, interference of different names of the building drawings is eliminated, and the modeling efficiency is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a system architecture diagram of a building model building method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a building model building method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a cloud server according to an embodiment of the present disclosure;
fig. 4 is a block diagram illustrating functional units of a building model building apparatus according to an embodiment of the present disclosure;
fig. 5 is a block diagram illustrating functional units of another building model building apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this document indicates that the former and latter related objects are in an "or" relationship. The "plurality" appearing in the embodiments of the present application means two or more.
The term "connect" in the embodiments of the present application refers to various connection manners, such as direct connection or indirect connection, to implement communication between devices, which is not limited in this embodiment of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
A system architecture of a building model building method in the embodiment of the present application is described below with reference to fig. 1, where fig. 1 is a system architecture diagram of a building model building method provided in the embodiment of the present application, and the system architecture 100 includes a cloud server 110 and a drawing providing unit 120.
The cloud server 110 is connected to the drawing providing unit 120, the drawing providing unit 120 is configured to send a building drawing file to the cloud server 110, where the building drawing file may include multiple building drawings, for example, the building drawing file is a building drawing file of a cell a, the cell a is an area where 5 buildings exist, and the number of floors of each building is 5, and then the building drawing file may include 1 building drawing related to 1 building, such as a building drawing of 1 building and a building drawing of 1 building 2, and may also include 2 building drawings and 3 building drawings related to 3 buildings, and so on, and thus, the description is omitted here.
The construction drawing can be drawn by CAD software, and the format can include dwg format.
The cloud server 110 may be provided with a trained neural network model to recognize text information of a preset position of each building drawing, set a label for each building drawing, classify each building drawing according to the label, and classify each building drawing according to the label, so that after the classified building drawings are obtained by sorting, the cloud server 110 may establish a building model based on the classified building drawings.
The building drawing of each floor can reflect all floors of the building, does not need to correspond to one building drawing for each floor, and can construct the whole building by calling one building drawing during modeling.
Therefore, through the system architecture, the preset position text information of each drawing in the building drawing file can be automatically identified, the preset position text information is analyzed into unified and structured information, corresponding labels are set, interference of different names of the building drawings is eliminated, and the modeling efficiency is greatly improved.
Fig. 2 is a schematic flow chart of the building model building method provided in the embodiment of the present application, and specifically includes the following steps:
The building drawing file may include a plurality of building drawings, the building drawing file may be acquired first, and then, a region where each building drawing in the building drawing file is located is determined, for example, the building drawing file is displayed as a canvas after being opened, the included building drawings may be arranged in the canvas in a grid shape, each building drawing includes corresponding text information, the text information may include a project name, a sub-project name, a picture name, a specialty, and the like, it is to be noted that the text information is generally located in a tab region on the right side of each building drawing, and the preset position is the tab region, which is not specifically limited herein. And finally, extracting texts of the areas where the building drawings are located respectively to determine the text information of the building drawings, wherein the text information of each building drawing has a mapping relation with the corresponding building drawing, the mapping relation between the building drawings and the text information can be established according to the unique drawing number, the mapping relation can also be stored together with the text information corresponding to each building drawing, and the mapping relation can reduce the probability of unmatched text information and building drawings.
Therefore, by extracting the text information of the preset position of each building drawing in the building drawing file, the appropriate text information can be selected for extraction, subsequent identification is facilitated, and the text identification efficiency is improved.
The method includes the steps that each label is used for indicating building information of a corresponding building drawing, the semantics of the text information of each building drawing can be firstly identified to determine structured text information, the structured text information is used for indicating building information, floor information and project staging information of each building drawing, and then the label of each building drawing is determined according to the building information, the floor information and the project staging information of each building drawing.
Specifically, the text information of each drawing may be subjected to natural language processing and parsing to determine semantics of the text information, and the structured text information is obtained by performing uniform processing on the text information according to a preset naming rule, where the uniform processing includes at least one of text filling, text splicing, and text deletion. For example, if the text information of the first building drawing is "floor three, floor two to floor seven, project a first period", and the text information of the second building drawing is "floor 2, floor 3, floor 4, floor 5, floor 6, floor 7, floor 8, floor 9, project B, floor 2 second period", then according to the preset naming rule, the text information of the first building drawing can be unified into the structured text information "project a/first period/3 # 2-7", and similarly, the text information of the second building drawing can be unified into the structured text information "project B/second period/2 # 2-9", so that the uniformity of naming can be ensured, and data support is provided for subsequent label setting.
A first label can be set for each building drawing according to the building information of each building drawing; setting a second label for each building drawing according to the floor information of each building drawing; and setting a third label for each building drawing according to the project stage information of each building drawing. It is to be understood that the structured text information represents text information in the same format, the preset naming rule may be flexibly set, and is not specifically limited herein, and each of the building drawings may simultaneously carry the first tag, the second tag, and the third tag, for example, the first tag of the first building drawing may be "1 building", the second tag may be "2 building", the third tag may be "first term of a cell", and the like.
In a possible embodiment, regarding determining the semantics of the text information, the text information may be preprocessed by a corpus, where the corpus preprocessing may include word segmentation processing, part-of-speech tagging, named entity recognition, stop word removal, and the like, and the semantics of the text information may be obtained by referring to the existing corpus preprocessing method, which is not described herein again, extracting the features, selecting the features, and then outputting the recognition structure through the classifier.
In a possible embodiment, regarding the aspect of determining the semantics of the text information, the text information may be input into a pre-trained text recognition model, and the semantics of the text information is determined according to the output of the text recognition model, where the trained text recognition model may be a convolutional neural network model or the like, and is not limited specifically here.
Therefore, the labels are arranged on the building drawings according to the text information of the building drawings, so that the text information of the building drawings can be unified, and the building drawings can be classified conveniently.
And 203, classifying each building drawing according to the label to obtain the classified building drawings.
The building drawings belonging to the same building can be classified according to the first label to obtain a first category of building drawings; classifying the building drawings belonging to the same floor according to the second label to obtain a second category of building drawings; and classifying the building drawings belonging to the same project according to the third label to obtain a third category of building drawings. The first category represents a building drawing set with building differences as classification targets, the first category comprises building drawings corresponding to different buildings, the second category represents building drawings with floor differences as classification targets, the second category comprises building drawings corresponding to different floors, the third category represents building drawings with project stages as classification targets, and the third category comprises building drawings corresponding to different projects.
Therefore, each building drawing is classified according to the label to obtain the classified building drawings, so that the interference of irregular naming of the building drawings can be eliminated, and the modeling efficiency is improved.
And step 204, building a building model according to the classified building drawings.
The method comprises the steps of obtaining a first category of building drawings, a second category of building drawings and a third category of building drawings, wherein the first category of building drawings, the second category of building drawings and the third category of building drawings can be used for determining a drawing calling sequence and a drawing calling level, and then calling the classified building drawings according to the drawing calling sequence and the drawing calling level to establish the building model.
The drawing calling sequence can follow the rule that the building number is from low to high, the floor number is from low to high, and the project stage is from short term to long term, and the drawing calling hierarchy can also call the building drawing of the third category, then call the building drawing of the first category, and finally call the building drawing of the second category, so that the building model building efficiency can be greatly improved.
Therefore, by the method, firstly, the text information of the preset position of each building drawing in the building drawing file is extracted; then, setting a label for each building drawing according to the text information of each building drawing, wherein each label is used for indicating the building information of the corresponding building drawing; then, classifying each piece of building drawing according to the label to obtain the classified building drawings; and finally, building a building model according to the classified building drawings. The text information of each drawing in the construction drawing file can be automatically identified and analyzed into unified and structured information, so that the interference of different names of the construction drawings is eliminated, and the modeling efficiency is greatly improved.
Referring to fig. 3, a cloud server in the embodiment of the present application is described below, fig. 3 is a schematic structural diagram of a cloud server provided in the embodiment of the present application, and as shown in fig. 3, the cloud server 300 includes a processor 301, a communication interface 302, and a memory 303, where the processor, the communication interface, and the memory are connected to each other, where the cloud server 300 may further include a bus 304, the processor 301, the communication interface 302, and the memory 303 may be connected to each other through the bus 304, and the bus 304 may be a Peripheral Component Interconnect Standard (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 303 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but this does not mean only one bus or one type of bus. The memory 303 is used for storing a computer program comprising program instructions, and the processor is configured to call the program instructions to execute all or part of the method described in fig. 2 above.
Therefore, by the building model establishing method and the related device, firstly, the text information of the preset position of each building drawing in the building drawing file is extracted; then, setting a label for each construction drawing according to the text information of each construction drawing, wherein the label is used for indicating the construction information corresponding to each construction drawing; then, classifying each piece of building drawing according to the label to obtain the classified building drawings; and finally, building a building model according to the classified building drawings. The text information of the preset position of each drawing in the building drawing file can be automatically identified, the text information is analyzed into unified and structured information, corresponding labels are set, interference of different names of the building drawings is eliminated, and the modeling efficiency is greatly improved.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that, in order to implement the above functions, the cloud server includes a hardware structure and/or a software module for performing each function. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the cloud server may be divided according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In the case of dividing each function module corresponding to each function, a detailed description is given below with reference to fig. 4 to a building model building apparatus in the embodiment of the present application, where fig. 4 is a block diagram of functional units of a building model building apparatus provided in the embodiment of the present application, and the building model building apparatus 400 includes:
the text extraction unit 410 is used for extracting text information of a preset position of each building drawing in the building drawing file;
a label setting unit 420, configured to set a label for each piece of construction drawing according to the text information of each piece of construction drawing, where the label is used to indicate the building information corresponding to each piece of construction drawing;
the drawing classification unit 430 is configured to classify each building drawing according to the label to obtain a classified building drawing;
and the model establishing unit 440 is configured to establish a building model according to the classified building drawings.
Therefore, by the building model establishing method and the related device, firstly, the text information of the preset position of each building drawing in the building drawing file is extracted; then, setting a label for each construction drawing according to the text information of each construction drawing, wherein the label is used for indicating the construction information corresponding to each construction drawing; then, classifying each piece of building drawing according to the label to obtain the classified building drawings; and finally, building a building model according to the classified building drawings. The text information of the preset position of each drawing in the building drawing file can be automatically identified, the text information is analyzed into unified and structured information, corresponding labels are set, interference of different names of the building drawings is eliminated, and the modeling efficiency is greatly improved.
In the case of an integrated unit, the following describes in detail another building model building apparatus 500 in the embodiment of the present application with reference to fig. 5, where the building model building apparatus 500 includes a processing unit 501 and a communication unit 502, where the processing unit 501 is configured to execute any one of the steps in the above method embodiments, and when performing data transmission such as sending, the communication unit 502 is optionally invoked to complete the corresponding operation.
The building model building apparatus 500 may further include a storage unit 503 for storing program codes and data. The processing unit 501 may be a processor, the communication unit 502 may be a wireless communication module, and the storage unit 503 may be a memory.
The processing unit 501 is specifically configured to:
extracting text information of a preset position of each building drawing in the building drawing file;
setting a label for each building drawing according to the text information of each building drawing, wherein the label is used for indicating the building information corresponding to each building drawing;
classifying each piece of building drawing according to the label to obtain the classified building drawings;
and establishing a building model according to the classified building drawings.
Therefore, by the building model establishing method and the related device, firstly, the text information of the preset position of each building drawing in the building drawing file is extracted; then, setting a label for each construction drawing according to the text information of each construction drawing, wherein the label is used for indicating the construction information corresponding to each construction drawing; then, classifying each piece of building drawing according to the label to obtain the classified building drawings; and finally, building a building model according to the classified building drawings. The text information of the preset position of each drawing in the building drawing file can be automatically identified, the text information is analyzed into unified and structured information, corresponding labels are set, interference of different names of the building drawings is eliminated, and the modeling efficiency is greatly improved.
It can be understood that, since the method embodiment and the apparatus embodiment are different presentation forms of the same technical concept, the content of the method embodiment portion in the present application should be synchronously adapted to the apparatus embodiment portion, and is not described herein again. The above-described building model construction apparatus 400 and the building model construction apparatus 500 can each perform all of the building model construction methods included in the above-described embodiments.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, and the computer includes a vehicle-mounted terminal.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A building model building method, the method comprising:
extracting text information of a preset position of each building drawing in the building drawing file;
setting a label for each building drawing according to the text information of each building drawing, wherein the label is used for indicating the building information corresponding to each building drawing;
classifying each piece of building drawing according to the label to obtain the classified building drawings;
and establishing a building model according to the classified building drawings.
2. The method of claim 1, wherein the extracting text information of the preset position of each building drawing in the building drawing file comprises:
acquiring the construction drawing file;
determining the area of each building drawing in the building drawing file;
and respectively extracting texts of the preset positions of the areas where the building drawings are located to determine the text information of each building drawing, wherein the text information of each building drawing has a mapping relation with the corresponding building drawing.
3. The method according to claim 2, wherein the setting of the label for each construction drawing according to the text information of each construction drawing comprises:
identifying semantics of the text information of each building drawing to determine structured text information, wherein the structured text information is used for indicating building information, floor information and project staging information of each building drawing;
and determining the label of each building drawing according to the building information, the floor information and the project staging information of each building drawing.
4. The method according to claim 3, wherein the identifying semantics of the text information of each of the construction drawings to determine structured text information comprises:
performing natural language processing analysis on the text information of each drawing to determine the semantics of the text information;
and uniformly processing the text information according to a preset naming rule to obtain the structured text information, wherein the uniform processing comprises at least one of text filling, text splicing and text deletion.
5. The method of claim 3, wherein the determining the label of each construction drawing according to the building information, the floor information, and the project staging information of each construction drawing comprises:
setting a first label for each building drawing according to the building information of each building drawing;
setting a second label for each building drawing according to the floor information of each building drawing;
and setting a third label for each building drawing according to the project stage information of each building drawing.
6. The method of claim 5, wherein the classifying each of the construction drawings according to the label to obtain a classified construction drawing comprises:
classifying the building drawings belonging to the same building according to the first label to obtain a first category of building drawings;
classifying the building drawings belonging to the same floor according to the second label to obtain a second category of building drawings;
and classifying the building drawings belonging to the same project according to the third label to obtain a third category of building drawings.
7. The method of claim 6, wherein the building model is built according to the classified building drawings, and comprises the following steps:
determining a drawing calling sequence and a drawing calling level according to the first category of building drawings, the second category of building drawings and the third category of building drawings;
and calling the classified building drawings according to the drawing calling sequence and the drawing calling level to establish the building model.
8. An apparatus for building modeling, the apparatus comprising:
the text extraction unit is used for extracting text information of a preset position of each building drawing in the building drawing file;
the label setting unit is used for setting a label for each piece of construction drawing according to the text information of each piece of construction drawing, and the label is used for indicating the construction information corresponding to each piece of construction drawing;
the drawing classification unit is used for classifying each building drawing according to the label to obtain the classified building drawings;
and the model establishing unit is used for establishing a building model according to the classified building drawings.
9. A cloud server comprising a processor, a memory, and one or more programs stored in the memory and configured for execution by the application processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.
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| CN202111089438.8A CN113779681A (en) | 2021-09-16 | 2021-09-16 | Building model establishing method and related device |
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| CN202111089438.8A CN113779681A (en) | 2021-09-16 | 2021-09-16 | Building model establishing method and related device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115687673A (en) * | 2022-11-08 | 2023-02-03 | 杭州晶彩数字科技有限公司 | Picture archiving method and device, electronic equipment and readable storage medium |
| CN116303287A (en) * | 2023-03-22 | 2023-06-23 | 华联世纪工程咨询股份有限公司 | File naming method based on NLP |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115687673A (en) * | 2022-11-08 | 2023-02-03 | 杭州晶彩数字科技有限公司 | Picture archiving method and device, electronic equipment and readable storage medium |
| CN116303287A (en) * | 2023-03-22 | 2023-06-23 | 华联世纪工程咨询股份有限公司 | File naming method based on NLP |
| CN116303287B (en) * | 2023-03-22 | 2023-09-15 | 华联世纪工程咨询股份有限公司 | File naming method based on NLP |
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