A method for fast conversion of CAD drawings to three-dimensional models
By extracting key information from standardized drawings to generate a model, the system confirms the multi-directional stress at the splicing points and uses moment vector combination and comparison technology to identify abnormal splicing points. This solves the problems of low efficiency, poor accuracy, and safety hazards in the conversion process from CAD drawings to 3D models, and achieves fast and accurate 3D model generation and anomaly detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- EAST CHINA ENGINEERING SCIENCE AND TECHNOLOGY CO LTD
- Filing Date
- 2026-02-05
- Publication Date
- 2026-06-02
AI Technical Summary
Existing technologies for converting CAD drawings into 3D models suffer from problems such as cumbersome processes, long time consumption, high labor costs, inaccurate model dimensions, misaligned component splicing, lack of systematic analysis of the force state at model splicing points, and poor reusability of historical design data. These issues make it difficult to achieve accurate extraction of key information, rapid model splicing, and comprehensive force analysis.
By extracting key information from standardized drawings, generating individual model bodies, and performing splicing processing, the system confirms the axial stress, shear stress, and bending stress at the splicing points, calculates characteristic forces using torque vector combinations, identifies abnormal splicing points by verifying the included angle fluctuation range and comparing force value differences, and performs verification and comparison in conjunction with historical model data.
It achieves high efficiency and accuracy in model splicing, can detect splicing anomalies in a timely manner, reduces the risk of design rework, improves conversion efficiency and security, provides clear force analysis basis, and reduces manual intervention.
Smart Images

Figure CN122133216A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of 3D modeling technology, specifically a method for rapid conversion of CAD drawings into 3D models. Background Technology
[0002] In the field of industrial building design, the conversion from CAD drawings to 3D models is a core link connecting design, analysis and construction, and its efficiency and accuracy directly affect the project's progress cycle and structural safety.
[0003] Currently, in the industry, traditional conversion methods mostly rely on designers manually digesting CAD 2D drawing information, building 3D models layer by layer, and manually inputting loads and splicing components. This not only has the problems of cumbersome process, long time consumption, and high labor costs, but is also prone to hidden dangers such as inaccurate model dimensions and misaligned component splicing due to human operation deviations.
[0004] Although some technologies have attempted to assist modeling through standardized drawing systems, key information still needs to be manually selected and component splicing relationships verified. Furthermore, there is a lack of systematic analysis methods for the force state at model splicing points. Existing technologies often only complete model building without simultaneously detecting force characteristics, making it difficult to detect abnormal splicing parameters in a timely manner during the modeling stage. Even if a few solutions involve force analysis, they are mostly limited to simple calculations of a single force type, failing to comprehensively reflect the spatial superposition characteristics of multi-directional forces, making it difficult to promptly identify structural safety hazards.
[0005] Meanwhile, in the traditional transformation process, the reusability of historical design data is poor, and there is a lack of a mechanism to accurately compare the key parameters of the current model with the effective historical data. It is difficult to quickly identify anomalies by relying on past experience, which further increases the risk of design rework and communication costs.
[0006] Furthermore, existing technologies lack differentiated key information extraction rules for different types of components such as building plans, various equipment, and pipe supports, which can easily lead to low conversion efficiency and distorted model data due to interference from redundant information.
[0007] Therefore, there is an urgent need for a solution to convert CAD drawings into 3D models that can accurately extract key information, quickly assemble models, perform comprehensive force analysis, and intelligently identify anomalies, in order to address the pain points of existing technologies. Summary of the Invention
[0008] To address the shortcomings of existing technologies, this invention provides a method for rapid conversion of CAD drawings into 3D models, solving the problem of lacking systematic analysis methods for the force state at model splicing points.
[0009] To achieve the above objectives, the present invention provides the following technical solution: a method for rapid conversion of CAD drawings to 3D models, comprising the following steps: Step 1: Extract key information of relevant components from standardized drawings, confirm various dimensional parameters from the key information, and generate individual model bodies of the relevant components. The relevant steps are as follows: Identify the multi-views associated with a single related component from the standardized drawings, identify the same feature lines from the multi-views, and generate a three-dimensional schematic diagram of the related component based on the position of the same feature lines. The 3D schematic diagram is then filled in to generate a 3D model, which is then recorded as a single model body of the relevant component. Step 2: Extract the splicing points existing in each model body from the extracted key information, and splice several model bodies according to the splicing points to generate the overall three-dimensional building model associated with the standardized drawings. Step 3: Confirm the forces at the joints within the overall 3D building model. Identify the axial stress, shear stress, and bending stress associated with each joint. Then, based on the specific characteristics associated with each force, identify the characteristic forces associated with multiple forces and mark them within the 3D building model. The specific method is as follows: Regarding axial stress: Extract the total shear load H associated with the splice point. i and the contact area M associated with the splicing point i Where i represents different splicing points, using: Z i =H i ÷M i Confirm the axial stress Z associated with the corresponding splice point. i The total shear load and contact area are extracted directly from the three-dimensional building model. Regarding bending stress: The bending moment W of the section associated with the splicing point is extracted from the 3D building model. i and section modulus DK i ; Using: WQ i =W i ÷DK i Confirm the bending stress WQ associated with the corresponding splice point. i; Regarding shear stress: Confirm the total shear load associated with the corresponding splice point, and simultaneously confirm the shear surface area associated with the corresponding splice point. Use the formula: Shear stress = Total shear load ÷ Shear surface area to lock the shear stress associated with the corresponding splice point. The specific method for confirming the characteristic forces associated with the corresponding splicing point is as follows: For the axial stress, shear stress, and bending stress identified at a single splice point, the orientation and magnitude of the forces are identified. Keeping the orientation constant, the magnitude of the forces is used as the measurement length to generate the torque vector associated with the forces. From the three sets of torque vectors associated with three different forces, two sets of torque vectors are randomly extracted to the two-dimensional plane. The intermediate angle between the two sets of torque vectors is determined in this two-dimensional plane. The intermediate line between the two sets of torque vectors is generated based on the intermediate angle. The lengths of the two sets of torque vectors are then averaged to obtain the length value of the intermediate line, thus generating a set of intermediate vectors. Next, confirm the two-dimensional plane where the intermediate vector and the remaining moment vector are located, and use the same method to confirm the intermediate line of the two sets of moment vectors to confirm the intermediate line of this moment vector and the intermediate vector. Then, combine the length values of the two sets of vectors, process them by averaging, and use them as the length value associated with the intermediate line. Generate another set of intermediate vectors, and use the generated intermediate vectors as the characteristic forces associated with multiple forces at a single splicing point, and mark them in the three-dimensional building model. Step 4: For the characteristic forces marked at different splicing points within the 3D building model, and in conjunction with historical model data, confirm the historical characteristics associated with the same model bodies. Verify and compare the historical characteristics with the characteristic forces to identify whether the current splicing point is abnormal, and promptly display the signal. The specific method is as follows: Identify the two model bodies associated with a single splicing point, simultaneously confirm the specific location of the single splicing point in the two model bodies, extract the relevant data associated with the two identical model bodies at the specific location from historical model data, extract the characteristic forces associated with the specific location from the relevant data and record them as standard forces; The marked characteristic force is compared with the standard force: the initial endpoints associated with the characteristic force and the standard force are made to coincide. In the coincident state, the two-dimensional plane associated with the two sets of forces is identified, and a floating angle is assigned to the characteristic force. The floating angle is a preset angle. According to the floating angle, the end point of the characteristic force is moved up and down in the two-dimensional plane to identify a range area and identify whether the characteristic force is located in this range area. If so, a numerical comparison is performed. Confirm the force difference between the characteristic force and the standard force. If the force difference is greater than 0.1 × the standard force, mark this splice point as an abnormal splice point.
[0010] Preferably, in step two, the splicing points are directly extracted from the key information, and different splicing points are preset with different related markers. The splicing points between different model bodies are spliced according to the related markers.
[0011] Preferably, if the feature force is not located within this range, the splicing point is directly marked as an abnormal splicing point.
[0012] Preferably, if the force difference is ≤0.1×standard force, no marking is required.
[0013] This invention provides a method for rapid conversion of CAD drawings into 3D models. Compared with existing technologies, it has the following advantages: This invention focuses on the splicing points after model assembly, systematically confirms axial stress, shear stress, and bending stress, and generates characteristic forces through torque vector combination calculation, integrating complex multi-directional forces into intuitive spatial vector markers. This method not only fully covers the core force types at the splicing points, but also accurately reflects the spatial distribution characteristics of forces, providing a clear and reliable basis for subsequent anomaly detection, and solving the problems of scattered and difficult comprehensive evaluation in traditional force analysis. By employing a dual-judgment logic of "angle fluctuation range verification + force value difference comparison," accurate identification of splicing anomalies is achieved. This approach considers reasonable fluctuations in force direction while strictly controlling numerical deviation thresholds to avoid misjudgments or omissions. Simultaneously, it provides timely feedback on abnormal splicing points through signal display, guiding relevant personnel to specifically verify drawing parameters. This forms a closed loop of "model generation - force analysis - anomaly detection - drawing correction," significantly reducing the risk of subsequent design rework due to substandard splicing parameters. Attached Figure Description
[0014] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation
[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] First Embodiment Please see Figure 1 This application provides a method for rapid conversion of CAD drawings to 3D models, including the following steps: Step 1: Extract the input standardized drawings and extract key information of relevant components from them. Confirm the dimensional parameters from the key information and generate individual model bodies of the relevant components. Specifically, the key information extracted varies depending on the target object. For the building plan in the main conditions, key information such as building axes and columns is included. For horizontal and plate-type equipment in the main conditions, information such as equipment shape is ignored, and only key information such as the axial centerline of the equipment and the centerline of the equipment support, equipment text information (equipment ID, equipment support constraint type, etc.), text information leader line, equipment foundation type, and equipment civil engineering condition data table (including foundation dimensions, load, etc.) is extracted. For the vertical skirt support, vertical lugs, and vertical legs equipment in the main conditions, ignore information such as the equipment shape, and only extract key information such as the equipment's bidirectional center line, equipment text information (equipment ID, etc.), text information leader line, equipment foundation type, and equipment civil engineering condition data table (including foundation dimensions, load, etc.). For pump equipment, information such as equipment shape is ignored, and only key information such as the axial centerline of the equipment and the centerline of the pump inlet, equipment text information (equipment ID, etc.), text information leader lines, equipment foundation type, and equipment civil engineering condition data table (including foundation dimensions, load, etc.) is extracted. For equipment or pipes that penetrate the floor, ignore information such as the shape of the equipment or pipes, and only extract key information such as the center line of the equipment or pipes, the text information of the opening (dimensions, flanges, etc.), and the text information leader lines. For ground pipe supports, concrete floor pipe support embedded parts, and concrete floor pipe support bosses, ignore information such as pipes and their supports, and only extract key information such as the center line of the support point, support text information (ID, elevation, load, direction, etc.), text information leader line, and civil engineering condition data table of support point embedded parts (including embedded part size, height, load, etc.). For the load on the pipe support points of the steel structure floor, information such as the pipes and their supports is ignored, and only key information such as the center line of the support point, the support text information (load, direction, etc.), and the text information leader line are extracted. The steps involved in generating a single related component are as follows: Identify the multi-views associated with a single related component from the standardized drawings, identify the same feature lines from the multi-views, and generate a three-dimensional schematic diagram of the related component based on the position of the same feature lines. The 3D schematic diagram is then filled in to generate a 3D model. The generated 3D model is recorded as a single model body of the relevant component. Since the method of generating 3D models is quite common in the existing technology, it will not be described in detail here. Step 2: Based on the individual model bodies associated with different related components, extract the splicing points existing in each model body from the extracted key information, and splice several model bodies according to the splicing points to generate the overall three-dimensional building model associated with the standardized drawings. Specifically, during the assembly process, each model body has associated assembly points marked inside or outside, and these assembly points are directly extracted and confirmed from key information. The splicing points that need to be spliced have relevant markers. Based on the extracted relevant markers, the corresponding splicing points are spliced, which can effectively splice multiple single model bodies to generate the corresponding overall three-dimensional building model. Step 3: Confirm the forces at the splicing points in the overall 3D building model. Confirm the axial stress, shear stress and bending stress associated with different splicing points in turn. Based on the specific characteristics associated with each force, confirm the characteristic forces associated with multiple forces and mark them in the 3D building model. Step 4: For the characteristic forces marked at different splicing points in the 3D building model, combine with historical model data to confirm the historical features associated between the same model bodies, verify and compare the historical features and characteristic forces, identify whether the current splicing point is abnormal, and display the signal in a timely manner.
[0017] Subsequently, relevant personnel verified the associated standard drawings based on the abnormal splicing points marked in the 3D building model, identified whether the parameters associated with the splicing area met the standards, and made timely verification and modifications.
[0018] Second Embodiment In this embodiment, the main focus is on the confirmation process of different forces in step three: The specific method for confirming the axial stress associated with the splicing point is as follows: Extract the total shear load H associated with the splice point. i (Unit: N) and the contact area M associated with the splicing point. i Where i represents different splicing points, using: Z i =H i ÷M i Confirm the axial stress Z associated with the corresponding splice point. i The total shear load and contact area are extracted directly from the three-dimensional building model. The specific method for confirming the bending stress associated with the splice point is as follows: Extract the section bending moment W associated with the splicing point from the 3D building model. i and section modulus DK i The unit of bending moment is N·mm. For example, the mid-span bending moment of a simply supported beam is M=FL / 4 (where F is the mid-span load and L is the beam span). The unit of section modulus is mm. 3 Rectangular section moment = bh 2 / 6 (b is the cross-sectional width, h is the cross-sectional height), circular modulus = πd 3 / 32 (d is the diameter); Using: WQ i =W i ÷DK i Confirm the bending stress WQ associated with the corresponding splice point. i ; The specific method for confirming the shear stress associated with the splicing point is as follows: Confirm the total shear load (in N) associated with the corresponding splice point, and simultaneously confirm the shear area (mm²) associated with the corresponding splice point. 2 The formula is: Shear stress = Total shear load ÷ Shear surface area (force ÷ area = stress), which is used to lock the shear stress associated with the corresponding splice point; The specific method for confirming the characteristic forces is as follows: For the axial stress, shear stress, and bending stress identified at a single splicing point, the orientation and magnitude of the force are identified, the orientation is kept constant, and the magnitude of the force is used as the measurement length (pre-set to associate 1N with several millimeters), generating the torque vector associated with the force; From the three sets of torque vectors associated with three different forces, two sets of torque vectors are randomly extracted to the two-dimensional plane. The intermediate angle between the two sets of torque vectors is determined in this two-dimensional plane. The intermediate line between the two sets of torque vectors is generated based on the intermediate angle. The lengths of the two sets of torque vectors are then averaged to obtain the length value of the intermediate line, thus generating a set of intermediate vectors. Next, confirm the two-dimensional plane where the intermediate vector and the remaining moment vectors are located, and use the same method to confirm the intermediate line of the two sets of moment vectors to confirm the intermediate line between the current moment vector and the intermediate vector. Then, combine the length values of the two sets of vectors, average them, and use the average value as the length value associated with the intermediate line to generate another set of intermediate vectors. The generated intermediate vectors are used as the characteristic forces associated with multiple forces at a single splicing point and marked in the three-dimensional building model. Specifically, a single splicing point contains multiple forces in different directions, each originating from the same point. Under normal circumstances, a point is associated with only three sets of forces. From the specific key information associated with the 3D model, the specific value of each force is identified, and based on the specific orientation of the stress, the torque vector associated with the stress is confirmed. Then, the three sets of torque vectors are combined in two groups to confirm the intermediate vector associated between the two sets of torque vectors. The intermediate vector is then reconfirmed with another set of torque vectors to effectively identify the mean vector associated with the three sets of torque vectors. This vector can fully and effectively demonstrate the spatial characteristics associated with multiple forces.
[0019] Third Embodiment In this embodiment, compared to the above embodiments, the main focus is on the specific evaluation process of whether the splicing points of the 3D building model are abnormal: The specific method for confirming whether the current splicing point is abnormal is as follows: Identify the two model bodies associated with a single splicing point, simultaneously confirm the specific location of the single splicing point in the two model bodies, and extract the relevant data associated with the two identical model bodies at the specific location from historical model data. Extract the feature forces associated with the specific location (historical features, extracted from the cloud database) from the relevant data and record them as standard forces. The marked characteristic force is compared with the standard force: the initial endpoints associated with the characteristic force and the standard force are made to coincide. In the coincident state, the two-dimensional plane associated with the two sets of forces is identified, and a floating angle associated with the characteristic force is assigned. The floating angle is a preset angle, which is determined in advance by relevant personnel based on experience. According to the floating angle, the end point of the characteristic force is moved up and down in the two-dimensional plane to identify a range area and identify whether the characteristic force is located in this range area. If it is, a numerical comparison is performed. If not, this splicing point is directly marked as an abnormal splicing point. Confirm the force difference associated with the characteristic force and the standard force. If the force difference is greater than 0.1 × the standard force, mark this splice point as an abnormal splice point (representing an excessively large numerical difference). Otherwise, do not mark it.
[0020] Fourth embodiment A method for rapid conversion of standardized CAD 2D drawings into 3D solid models also includes the following steps: S1. For the building plan in the main conditions, a large amount of non-critical information is ignored, and only the key information such as building axis and columns is unified and standardized so that the software can recognize and read it; text information such as floor elevation is recognized and read. S2. For horizontal and plate-type equipment in the main conditions, ignore information such as equipment shape, and only unify and standardize key information such as the axial centerline of the equipment and the centerline of the equipment support, equipment text information (equipment ID, equipment support constraint type, etc.), text information leader line, equipment foundation type, and equipment civil engineering condition data table (including foundation dimensions, load, etc.) so that the software can recognize and read it. S3. For the vertical skirt support, vertical lugs, and vertical legs equipment in the main conditions, ignore the equipment shape and other information, and only unify and standardize the key information such as the equipment bidirectional center line, equipment text information (equipment ID, etc.), text information leader line, equipment foundation type, and equipment civil engineering condition data table (including foundation dimensions, load, etc.) so that the software can recognize and read it. S4. For pump equipment in the main conditions, ignore information such as equipment shape, and only unify and standardize key information such as the axial centerline of the equipment and the centerline of the pump port, equipment text information (equipment ID, etc.), text information leader line, equipment foundation type, and equipment civil engineering condition data table (including foundation dimensions, load, etc.) so that the software can recognize and read it. S5. For equipment or pipe openings through the floor in the main conditions, information such as the shape of the equipment and pipe is ignored. Only key information such as the center line of the equipment or pipe, the text information of the opening (size, flange, etc.), and the text information leader line are unified and standardized so that the software can recognize and read them. S6. In the main conditions, information such as ground pipe supports, concrete floor pipe support embedded parts, and concrete floor pipe support bosses are omitted. Only key information such as the center line of the support point, support text information (ID, elevation, load, direction, etc.), text information leader line, and civil engineering condition data table of support point embedded parts (including embedded part size, height, load, etc.) are unified and standardized so that the software can recognize and read them. S7. For the load on the steel structure floor pipe support point in the main condition, ignore the information such as pipes and their supports, and only unify and standardize the key information such as the center line of the support point, support text information (load, direction, etc.), and text information leader line so that the software can recognize and read it. S8. Using the 3D factory digital design system, the system reads standardized condition diagrams and data tables, automatically generates the initial 3D model of the entire floor, and automatically arranges the read equipment supports and loads to the corresponding positions on each floor. For the ground equipment foundation, the design system automatically performs the design, including automatically selecting the foundation type, calculating the stress, comparing the standard requirements and limits, drawing construction drawings, and generating calculation sheets. For the construction drawings of the building foundation and superstructure, the design system automatically draws standardized construction drawings according to the standardization system.
[0021] Specifically, the "standardized information" of 2D drawings is a prerequisite for conversion. Converting standardized 2D drawings into a 3D solid model is a crucial prerequisite for stages such as data collection, modeling, design, and computational analysis. Essentially, it involves interpreting the geometric information, dimensional constraints, and technical requirements in 2D drawings and reconstructing a model in 3D modeling software that aligns with the design intent. Figure 1This patent presents a digital model for conditions. Existing methods involve manually filtering useful information from condition diagrams and manually organizing key information. This patent utilizes a computer to quickly identify and read conditions based on pre-defined rules (i.e., standardized rules for drawings and tables), and automatically organizes the conditions. Existing methods require manual comparison of data in drawing and table conditions to check for contradictions. This patent allows the computer to quickly compare data in each condition for contradictions, compare data in drawings and tables for conflicts, and determine whether conditions are erroneous or do not meet specifications using built-in logical rules. Existing methods require significant manpower to store condition data, making it difficult to create large datasets and retrieve information. This patent utilizes a computer to store large amounts of condition data, forming a condition database that is easily accessible and facilitates future development. Preliminary work such as research, quotation, and preliminary design requires significant manpower for storing and analyzing finished product data, making it difficult to create large datasets and retrieve information. This patent utilizes computers to store large amounts of data, forming a finished product database that is easily accessible and facilitates the analysis of patterns and experience summaries. This is particularly helpful for future feasibility studies, quotation, preliminary design, and construction drawing design. During the design process, numerous version updates are frequently encountered. Existing methods require manual comparison of changes and manual modification of design input parameters. This patent leverages computers to easily perform incremental updates, resulting in high efficiency, reduced errors and omissions, and significant savings in manual time. The conversion process follows the sequence of "interpreting drawings → building a basic model → refining features → verifying matching." The logic ensures that each step corresponds to the standardized information in the two-dimensional drawings; the significance of the transformation is to solve the "spatial ambiguity" of two-dimensional drawings (such as the large amount of content in complex condition diagrams, which can easily lead to misunderstandings), improve design efficiency (reduce manual input of condition data in the data collection stage), reduce communication costs (intuitive visualization), and provide a data foundation for matching conditions with built-in rules (matching condition diagrams with models and construction drawings), automatic modeling, calculation and analysis, and automatic drawing generation.
[0022] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.
[0023] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.
Claims
1. A method for rapid conversion of CAD drawings to 3D models, characterized in that, Includes the following steps: Step 1: Extract key information of relevant components from standardized drawings, confirm various dimensional parameters from the key information, and generate a single model of the relevant components; Step 2: Extract the splicing points existing in each model body from the extracted key information, and splice several model bodies according to the splicing points to generate the overall three-dimensional building model associated with the standardized drawings. Step 3: Confirm the forces at the splicing points in the overall 3D building model. Confirm the axial stress, shear stress and bending stress associated with different splicing points in turn. Based on the specific characteristics associated with each force, confirm the characteristic forces associated with multiple forces and mark them in the 3D building model. Step 4: For the characteristic forces marked at different splicing points in the 3D building model, combine with historical model data to confirm the historical features associated between the same model bodies, verify and compare the historical features and characteristic forces, identify whether the current splicing point is abnormal, and display the signal in a timely manner.
2. The method for rapid conversion of CAD drawings to 3D models according to claim 1, characterized in that, In step one, the steps for generating the model body corresponding to a single related component are as follows: Identify the multi-views associated with a single related component from the standardized drawings, identify the same feature lines from the multi-views, and generate a three-dimensional schematic diagram of the related component based on the position of the same feature lines. The 3D schematic diagram is then filled in to generate a 3D model, which is then recorded as a single model body of the relevant component.
3. The method for rapid conversion of CAD drawings to 3D models according to claim 1, characterized in that, In step two, the splicing points are directly extracted from the key information, and different splicing points are preset with different related markers. The splicing points between different model bodies are spliced according to the related markers.
4. The method for rapid conversion of CAD drawings to 3D models according to claim 1, characterized in that, In step three, the specific method for confirming axial stress, shear stress, and bending stress is as follows: Regarding axial stress: Extract the total shear load H associated with the splice point. i and the contact area M associated with the splicing point i Where i represents different splicing points, using: Z i =H i ÷M i Confirm the axial stress Z associated with the corresponding splice point. i The total shear load and contact area are extracted directly from the three-dimensional building model. Regarding bending stress: The bending moment W of the section associated with the splicing point is extracted from the 3D building model. i and section modulus DK i ; Using: WQ i =W i ÷DK i Confirm the bending stress WQ associated with the corresponding splice point. i; Regarding shear stress: Confirm the total shear load associated with the corresponding splice point, and simultaneously confirm the shear surface area associated with the corresponding splice point. Use the formula: Shear stress = Total shear load ÷ Shear surface area to lock the shear stress associated with the corresponding splice point.
5. The method for rapid conversion of CAD drawings to 3D models according to claim 4, characterized in that, In step three, the specific method for confirming the characteristic force associated with the corresponding splicing point is as follows: For the axial stress, shear stress, and bending stress identified at a single splice point, the orientation and magnitude of the forces are identified. Keeping the orientation constant, the magnitude of the forces is used as the measurement length to generate the torque vector associated with the forces. From the three sets of torque vectors associated with three different forces, two sets of torque vectors are randomly extracted to the two-dimensional plane. The intermediate angle between the two sets of torque vectors is determined in this two-dimensional plane. The intermediate line between the two sets of torque vectors is generated based on the intermediate angle. The lengths of the two sets of torque vectors are then averaged to obtain the length value of the intermediate line, thus generating a set of intermediate vectors. Next, confirm the two-dimensional plane where the intermediate vector and the remaining moment vector are located, and use the same method to confirm the intermediate line of the two sets of moment vectors to confirm the intermediate line of this moment vector and the intermediate vector. Then, combine the length values of the two sets of vectors, process them by averaging, and use them as the length value associated with the intermediate line. Generate another set of intermediate vectors, and use the generated intermediate vectors as the characteristic forces associated with multiple forces at a single splicing point, and mark them in the three-dimensional building model.
6. The method for rapid conversion of CAD drawings to 3D models according to claim 1, characterized in that, In step four, the specific method for confirming whether the current splicing point is abnormal is as follows: Identify the two model bodies associated with a single splicing point, simultaneously confirm the specific location of the single splicing point in the two model bodies, extract the relevant data associated with the two identical model bodies at the specific location from historical model data, extract the characteristic forces associated with the specific location from the relevant data and record them as standard forces; The marked characteristic force is compared with the standard force: the initial endpoints associated with the characteristic force and the standard force are made to coincide. In the coincident state, the two-dimensional plane associated with the two sets of forces is identified, and a floating angle is assigned to the characteristic force. The floating angle is a preset angle. According to the floating angle, the end point of the characteristic force is moved up and down in the two-dimensional plane to identify a range area and identify whether the characteristic force is located in this range area. If so, a numerical comparison is performed. Confirm the force difference between the characteristic force and the standard force. If the force difference is greater than 0.1 × the standard force, mark this splice point as an abnormal splice point.
7. The method for rapid conversion of CAD drawings to 3D models according to claim 6, characterized in that, If the characteristic force is not located within this range, then this splicing point is directly marked as an abnormal splicing point.
8. The method for rapid conversion of CAD drawings to 3D models according to claim 6, characterized in that, If the force difference is ≤0.1×standard force, no marking is required.