Metallurgical public auxiliary project efficient three-dimensional information providing method, medium and equipment

Abstract

The invention provides an efficient three-dimensional information extraction method, medium and equipment for metallurgical public and auxiliary projects, and relates to the technical field of metallurgical engineering digitization, engineering practical experience and multi-year project data are integrated in an enterprise knowledge case library, and a set of complete innovation process of public and auxiliary station building process three-dimensional BIM information extraction and structure information receiving and returning is summarized; generating column models in batches based on the axis net and automatically shifting; the requirements of information providing civil engineering and electric instruments can be matched by reading equipment model parameters, and a model with information providing information is generated; according to the position and the trend of the pipeline, pipe ditches, embedded parts, supports, trepanning and casing pipes which meet the requirements can be matched, a model is generated, meanwhile, related marking and information providing requirements are completed, professional civil engineering, electric instruments and the like are provided, civil engineering deepening design is performed, and information is returned. According to the method, the model and data interaction barrier between the process and the downstream civil engineering and electric instrument specialty can be broken through, and the purposes that one model has multiple purposes and one model reaches the bottom are achieved, so that the overall three-dimensional design efficiency and level of the metallurgy public and auxiliary project are comprehensively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of metallurgical engineering digitization, in particular to a high-efficiency three-dimensional capital raising method for a metallurgical auxiliary project, a medium and equipment. BACKGROUND

[0002] In the whole process from design to final operation and maintenance of a metallurgical engineering project, a large amount of information exchange and cooperation is involved. At present, there is no unified data standard among multiple departments and multiple specialties in metallurgical projects, which leads to difficulties in information intercommunication, affects the efficiency and quality of multi-specialty collaborative design, and also affects the training and application of subsequent AI large models. SUMMARY

[0003] The purpose of the present application is to provide a high-efficiency three-dimensional capital raising method for a metallurgical auxiliary project, a medium and equipment, which aims to integrate engineering practical experience and multi-year project data into an enterprise knowledge case library by using a digital method, and further improve the interaction, transmission efficiency and accuracy of models and data among multiple specialties. The specific technical solutions are as follows:

[0004] A high-efficiency three-dimensional capital raising method for a metallurgical auxiliary project, comprising the following steps:

[0005] S100, calling a three-dimensional axis network of a metallurgical auxiliary station building, automatically generating a three-dimensional model of a column in a selected range according to a recommended column specification and an offset distance relative to the axis network in a pop-up window;

[0006] S200, reading model parameters and positioning information of a process main equipment, matching a metallurgical equipment case library, calling a parameterized basic model matched therewith, and reading load, power and instrument requirements to fill in a capital raising template of a corresponding specialty to form a capital raising model with complete information;

[0007] S300, reading process auxiliary equipment and building models, matching cases in a metallurgical knowledge base, calling load, power and instrument requirements corresponding to the selected equipment and building of the process to further supplement to the corresponding professional capital raising model;

[0008] S400, completing a three-dimensional model of a pipeline between devices of a process layout and reading pipeline information, completing the layout and size labeling of models such as foundation, ditch, embedded part, hole, and embedded pipe, calling a corresponding standard capital raising template to generate a capital raising additional form, and raising the capital raising model and additional form related to civil engineering to a civil engineering specialty;

[0009] S500, raising the electrical and instrument specialties related to the electrical and instrument requirements of the device model to the corresponding electrical and instrument specialties;

[0010] S600, the civil engineering professionals refer to the process for the columns, foundations, pipe trenches, embedded parts, and opening models, and batch read the corresponding load requirements, carry out detailed design and calculation, modify the cross-sectional specifications that do not meet the requirements, negotiate with the process to adjust the location distribution, return the process to the process, and simultaneously return the process to the electrical and instrumentation professionals.

[0011] S700, efficient three-dimensional investment improvement and return investment of metallurgical auxiliary facilities completed.

[0012] Further, step S100 includes: comparing the main process parameters of the station building with existing projects in the metallurgical auxiliary station building knowledge case library, using the column specification parameters of the closest project as recommended parameters, and using them as default parameters in the pop-up window; calling the factory column script in the structural parameterized component library with the default parameters, and automatically generating an accurately positioned column model by combining the offset distance of each column relative to the axis grid; or selecting the replacement specification parameters in the column specification drop-down box of the pop-up window, modifying the offset distance of the column center relative to the axis grid intersection point relative to the x / y direction, regenerating the column model of the specified specification, and automatically offsetting it according to the modified offset distance.

[0013] Further, step S200 includes: comparing the main process parameters of the station building with existing projects in the metallurgical auxiliary station building knowledge case library, recommending the equipment model of the closest project, and calling the basic model that matches the equipment based on the corresponding equipment foundation, load, power consumption, and instrumentation requirements of different types of equipment in the knowledge library, reading the corresponding load, power consumption, and instrumentation requirements, and filling them into the preset standard information template as a supplement to the information model.

[0014] Further, step S300 includes: comparing with existing projects in the metallurgical auxiliary station building knowledge case library, recommending the auxiliary equipment and building model of the closest project, calling up the model if it meets the requirements, and reading the corresponding load and power consumption requirements, and further supplementing other supporting and auxiliary equipment, building models and their corresponding load, power consumption and instrumentation requirements in addition to the main equipment, as a further improvement of the overall information model.

[0015] Further, step S400 includes: after reading the three-dimensional model information of the pipelines between each process device, performing the following steps respectively:

[0016] S410. For pipelines below the 0-meter level, trenching or pre-embedding is required. Based on the pipeline's location and direction within the station, a parametric trench can be generated automatically according to preset standard spacing requirements, ensuring the pipeline can pass through while maintaining the specified distance from the trench wall. It also includes commonly used cover types, allowing switching of cover types before trench laying to complete the trench laying process. It also supports removing covers or modifying them after laying. The annotation tool can be used to complete the dimension annotation of the foundation and trench.

[0017] S420: When overhead pipelines are laid along walls or trenches, parametric embedded parts and supports are invoked. Based on the pipe diameter, the built-in specifications and samples are matched to recommend embedded part and support specifications and layout spacing. Embedded part and support models are automatically generated in batches on the wall surface. Parameters can also be modified and regenerated. After the embedded parts are determined, the embedded part quick annotation tool is invoked to quickly annotate all embedded part dimensions and spacings, and embedded part load requirements are added simultaneously. An embedded part table is generated according to the template.

[0018] S430 When pipes of different materials pass through walls or water tanks, the knowledge base is called to automatically generate openings, embedded steel pipes, and sleeves that match the pipe diameter and material. After the openings and sleeves are determined, the opening and sleeve dimensions and style labels that conform to professional specifications are generated according to the template, and the sleeve material list is generated at the same time, which can be used for procurement.

[0019] Further, step S600 includes: the civil engineering professionals read the column, foundation, pipe trench, embedded part, and opening models and their corresponding load requirements from the process data provided in steps S200, S300, and S400 in the design software, and perform detailed design and calculation verification for each structural component. For structural components that fail the calculation, the cross-sectional specifications that do not meet the requirements are modified in the specification drop-down box corresponding to the model. For structural components whose location cannot meet the process layout conditions, the location distribution is adjusted in consultation with the process, and the calculation and verification are performed again until the structural design requirements are met. All modified structural models are returned to the process and simultaneously returned to the electrical and instrumentation professionals for subsequent process design verification and reference for the cable tray and wiring design of electrical and instrumentation professionals.

[0020] The present invention also provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the efficient three-dimensional data extraction method for metallurgical auxiliary projects as described above.

[0021] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the program to implement the steps of the efficient three-dimensional data extraction method for metallurgical auxiliary projects as described above.

[0022] The present invention provides a method, medium, and equipment for efficient three-dimensional data extraction in metallurgical auxiliary projects, which has the following beneficial effects:

[0023] This invention integrates practical engineering experience and years of project data into an enterprise knowledge case library, and summarizes a complete innovative process for 3D BIM data generation and structural data transfer for auxiliary station buildings. It generates column models in batches based on grid lines and automatically offsets them; it can read equipment model parameters to match the requirements of civil engineering and electrical / instrumentation work, generating models with data transfer information; it can match pipe trenches, embedded parts, supports, openings, and sleeves according to pipeline location and direction, generating models while simultaneously completing relevant annotations and data transfer requirements, providing data to downstream civil engineering and electrical / instrumentation disciplines, enabling detailed civil engineering design and data transfer; it breaks down the barriers between process engineering and downstream civil engineering and electrical / instrumentation disciplines in model and data interaction, achieving "one model for multiple uses" and "one model to the end," thereby comprehensively improving the overall 3D design efficiency and level of metallurgical auxiliary projects. Attached Figure Description

[0024] Figure 1 This is a flowchart illustrating an efficient three-dimensional data extraction method for metallurgical auxiliary projects provided by the present invention;

[0025] Figure 2 This is a general flowchart of an embodiment of the present invention;

[0026] Figure 3 The screenshot shows a single-stage square foundation model with six openings, corresponding to a low-pressure single-stage twin-horizontal centrifugal pump used in the embodiment.

[0027] Figure 4 This is a schematic diagram illustrating the automatic installation of a covered drainage ditch pop-up window as an example.

[0028] Figure 5 This is a schematic diagram of a rigid waterproof sleeve automatically generated on the side wall of a concrete water tank, as shown in the example.

[0029] Figure 6 This is a schematic diagram of the pump house elevation plan generated based on the elevation model in the example embodiment;

[0030] Figure 7 This is a structural block diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clearly illustrate the purpose of the embodiments of the present invention.

[0032] Example 1: This example provides an efficient three-dimensional data extraction method for metallurgical auxiliary projects. (See attached document.) Figure 1 , 2 As shown, the method includes the following steps:

[0033] S100: Call the 3D grid of the metallurgical auxiliary station building, and automatically generate a 3D model of the columns within the selected range according to the column specifications and offset distance relative to the grid recommended in the pop-up window.

[0034] In one embodiment, the main process parameters of the station building are compared with existing projects in the metallurgical auxiliary station building knowledge case library. The column specifications of the closest project are used as recommended parameters and displayed as default parameters in the pop-up window (e.g., cooling water volume Q=3500m³). 3 The spray pump station has a flow rate of / h and is comparable to the existing "Spray Cooling Water Flow Rate 3600m³" case study in the database. 3 The pump house is the closest, so 600*500 concrete columns are recommended for this pump house, and the offset range of the column center relative to each column grid is displayed synchronously in the pop-up window; the factory column script in the structural parameterized component library is called with default parameters (the process designer confirms the parameters recommended in the pop-up window), and the column model with accurate position is automatically generated by combining the offset distance of each column relative to the grid; or, the column specification drop-down box in the pop-up window can be used to select replacement specification parameters, modify the offset distance of the column center relative to the grid intersection point in the x / y direction, regenerate the column model of the specified specification, and automatically offset it according to the modified offset distance. The range of column generation is generated according to the grid range selected, box-selected, or selected entirely by the designer.

[0035] S200: Read the parameters and positioning information of the main process equipment model, match them with the metallurgical equipment case library, call the matching equipment parameterized basic model, and read the load, power consumption, and instrumentation requirements. Fill them into the corresponding professional information template to form an information model with complete information.

[0036] In one embodiment, the main process parameters of the station building are compared with existing projects in the metallurgical auxiliary station building knowledge case library. The equipment model of the closest project is recommended. Based on the knowledge base, different types of equipment have corresponding equipment foundations, loads, power consumption, and instrumentation requirements, the basic model matching the equipment is called (as shown in the attached figure). Figure 3 The example shown calls up a single-stage square foundation model with six openings corresponding to the main process equipment of this project, the "low-pressure single-stage twin-horizontal centrifugal pump." It reads the corresponding load, power consumption, and instrumentation requirements, and fills them into a preset standard information submission template as a supplement to the information submission model. During the information submission phase, automatic matching is usually sufficient by default. After subsequent equipment ordering, it supports re-matching and modifying the called equipment foundation model according to actual equipment parameters or adding special requirements. The modified equipment, foundation model, and parameters are then added as new cases to the enterprise knowledge case library.

[0037] S300 reads the process auxiliary equipment and building models, matches them with cases in the metallurgical knowledge base, and calls the load, power consumption, and instrumentation requirements corresponding to the equipment and buildings selected in the process, further supplementing them into the corresponding professional information model.

[0038] In one embodiment, the model is compared with existing projects in the metallurgical auxiliary station building knowledge case library. The auxiliary equipment and building model of the closest project is recommended. If the model meets the requirements, it is called up and the corresponding load and power consumption information requirements are read. Other supporting and auxiliary equipment, building structures (such as water tanks, drainage ditches, equipment foundations, platforms, etc.) models and their corresponding load, power consumption, and instrumentation requirements are further supplemented in addition to the main equipment. This is to further improve the overall information model. After completion, the next step is taken.

[0039] S400: Complete the 3D model of the pipelines between the equipment in the process layout and read the pipeline information. Complete the layout and dimension annotation of the models of foundations, ditches, embedded parts, openings, and pre-embedded pipes. Call the corresponding standard data template to generate additional data forms (specifically, including load tables, embedded parts tables, etc.). Submit this part of the data model and additional forms related to civil engineering to the civil engineering profession.

[0040] In one embodiment, after reading the three-dimensional model information of the pipelines between various process equipment, the following steps are performed respectively:

[0041] S410. For pipelines below the 0-meter level, trenching or pre-embedding is required. Based on the pipeline's location and direction within the station building, a parameterized trench is invoked. The trench is automatically generated according to preset standard spacing requirements, ensuring the pipeline can pass through while maintaining the specified distance from the trench wall. It also includes commonly used cover types, allowing switching of cover types before trench installation to complete the trench (with cover) installation simultaneously (see attached). Figure 4 The pop-up window for automatically laying covered drainage ditches is shown, and it also supports modifying the layout without covers or after laying is complete; the annotation tool can be used to complete the dimension annotation of the foundation (including holes and embedded parts in the foundation) and the pipe trench (see the appendix for the dimension and location annotation of the foundation and pipe trench). Figure 6 (as shown);

[0042] S420. For overhead pipelines laid along walls or trenches, parametric embedded parts and supports are invoked. Based on the pipe diameter, the built-in specifications and samples are matched to recommend embedded part and support specifications and spacing. Embedded part and support models are automatically generated in batches on the wall surface. Parameters can also be modified and regenerated. After the embedded parts are determined, the embedded part quick annotation tool is invoked to quickly annotate all embedded part dimensions and spacing (see attached example for embedded part dimension and location annotation). Figure 5 As shown), add embedded part load requirements synchronously, and generate an embedded part table (including location and load) according to the template;

[0043] S430. When pipes of different materials pass through walls or water tank structures, the knowledge base is used to automatically generate openings, embedded steel pipes, and sleeves that match the pipe diameter and material (as shown in the attached document). Figure 5The water pipe shown penetrates the side wall of the concrete water tank, and a rigid waterproof sleeve is automatically generated on the side wall. After the opening and sleeve are determined, the opening and sleeve dimensions and style annotations conforming to professional specifications are generated according to the template. At the same time, a sleeve material list is generated, which can be used for procurement (see the attached example for sleeve style and size annotations). Figure 6 (As shown).

[0044] S500: Submit the equipment model and its power and instrumentation requirements form to the relevant electrical and instrumentation professionals.

[0045] Specifically, the power consumption and instrumentation requirements forms corresponding to the equipment models in steps S200 and S300 are provided together with the equipment model layout and submitted to the relevant electrical and instrumentation professionals.

[0046] S600, the civil engineering professionals refer to the process for the columns, foundations, pipe trenches, embedded parts, and opening models, and batch read the corresponding load requirements, carry out detailed design and calculation, modify the cross-sectional specifications that do not meet the requirements, negotiate with the process to adjust the location distribution, return the data to the process, and simultaneously return the data to the electrical and instrumentation professionals.

[0047] In one embodiment, the civil engineering professionals read the column, foundation, pipe trench, embedded part, and opening models and their corresponding load requirements from the process data provided in steps S200, S300, and S400 in the design software. They then perform detailed design and calculation verification for each structural component. For structural components that fail the calculation, they modify the non-compliant cross-sectional specifications in the specification drop-down box corresponding to the model. For structural components whose locations cannot meet the process layout conditions, they negotiate with the process department to adjust the location distribution and then recalculate and verify until the structural design requirements are met. All modified structural models are then returned to the process department and simultaneously returned to the electrical and instrumentation professionals for subsequent process design verification and for reference in the cable tray and wiring design of electrical and instrumentation professionals.

[0048] S700, efficient three-dimensional investment improvement and return investment of metallurgical auxiliary facilities completed.

[0049] This invention provides an efficient 3D data extraction method for metallurgical auxiliary projects. It integrates practical engineering experience and years of project data into an enterprise knowledge case library, summarizing a complete and innovative process for 3D BIM data extraction of auxiliary station processes and structural data acquisition and return. It generates column models in batches based on grid lines and automatically offsets them. It can read equipment model parameters to match the requirements of civil engineering and electrical / instrumentation work, generating models with data extraction information. It can match pipe trenches, embedded parts, supports, openings, and sleeves that meet the requirements based on pipeline location and direction, completing relevant annotations and data extraction requirements while generating the model, providing data to downstream civil engineering and electrical / instrumentation disciplines, enabling detailed civil engineering design and data return. It breaks down the barriers between process and downstream civil engineering and electrical / instrumentation disciplines in model and data interaction, achieving "one model for multiple uses" and "one model to the end," thereby comprehensively improving the overall 3D design efficiency and level of metallurgical auxiliary projects.

[0050] Example 2: This example provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the efficient three-dimensional data extraction method for metallurgical auxiliary projects described above.

[0051] The storage medium may be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0052] Example 3: This example provides a computer device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the efficient three-dimensional data extraction method for metallurgical auxiliary projects described above.

[0053] like Figure 7 As shown, the computer device 70 may include: at least one processor 71, such as a CPU (Central Processing Unit), at least one communication interface 73, a memory 74, and at least one communication bus 72. The communication bus 72 is used to enable communication between these components. The communication interface 73 may include a display screen and a keyboard; optionally, the communication interface 73 may also include a standard wired interface or a wireless interface. The memory 74 may be high-speed RAM (Random Access Memory) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 74 may also be at least one storage device located remotely from the aforementioned processor 71. The memory 74 stores application programs, and the processor 71 calls the program code stored in the memory 74 to execute any of the above-described method steps.

[0054] The communication bus 72 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The communication bus 72 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0055] The memory 74 may include volatile memory, such as random-access memory (RAM); the memory may also include non-volatile memory, such as flash memory, hard disk drive (HDD) or solid-state drive (SSD); the memory 74 may also include a combination of the above types of memory.

[0056] The processor 71 can be a central processing unit (CPU), a network processor (NP), or a combination of CPU and NP.

[0057] The processor 71 may further include a hardware chip. This hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0058] Optionally, the memory 74 is also used to store program instructions. The processor 71 can call the program instructions to implement the efficient three-dimensional data extraction method for metallurgical auxiliary projects as described in this invention.

[0059] Those skilled in the art should understand that the present invention can be implemented in many other specific forms without departing from the spirit and scope of the invention. Any changes or modifications made by those skilled in the art based on the embodiments of the present invention and the above disclosure shall fall within the protection scope of the claims.

Claims

1. A highly efficient three-dimensional data extraction method for metallurgical auxiliary projects, characterized in that, Includes the following steps: S100: Call the 3D grid of the metallurgical auxiliary station building, and automatically generate the 3D model of the column within the selected range according to the column specifications and offset distance relative to the grid recommended in the pop-up window. S200: Read the parameters and positioning information of the main process equipment model, match the metallurgical equipment case library, call the matching equipment parameterized basic model, and read the load, power consumption, and instrumentation requirements, fill them into the corresponding professional information template, and form an information model with complete information. S300 reads the process auxiliary equipment and building models, matches them with cases in the metallurgical knowledge base, calls the load, power consumption, and instrumentation requirements corresponding to the equipment and buildings selected in the process, and further supplements them into the corresponding professional information model; S400: Complete the 3D model of the pipeline between the equipment in the process layout and read the pipeline information. Complete the layout and dimension annotation of the models of foundation, water ditch, embedded parts, openings, pre-embedded pipes, etc. Call the corresponding standard information template to generate additional information forms. Submit this part of the information model and additional forms related to civil engineering to the civil engineering profession. S500, Submit the equipment model and its power consumption and instrumentation requirements form to the relevant electrical and instrumentation professionals; S600, the civil engineering professionals refer to the process for the columns, foundations, pipe trenches, embedded parts, and opening models, and batch read the corresponding load requirements, carry out detailed design and calculation, modify the cross-sectional specifications that do not meet the requirements, negotiate with the process to adjust the location distribution, return the process to the process, and simultaneously return the process to the electrical and instrumentation professionals. S700, efficient three-dimensional investment improvement and return investment of metallurgical auxiliary facilities completed.

2. The efficient three-dimensional data extraction method for metallurgical auxiliary projects according to claim 1, characterized in that, Step S100 includes: comparing the main process parameters of the station building with existing projects in the metallurgical auxiliary station building knowledge case library, using the column specification parameters of the closest project as recommended parameters, and setting them as default parameters in the pop-up window; calling the factory column script in the structural parameterized component library with the default parameters, and automatically generating an accurately positioned column model by combining the offset distance of each column relative to the axis grid; or selecting the replacement specification parameters in the column specification drop-down box of the pop-up window, modifying the offset distance of the column center relative to the axis grid intersection point relative to the x / y direction, regenerating the column model of the specified specification, and automatically offsetting it according to the modified offset distance.

3. The efficient three-dimensional data extraction method for metallurgical auxiliary projects according to claim 2, characterized in that, Step S200 includes: comparing the main process parameters of the station building with existing projects in the metallurgical auxiliary station building knowledge case library, recommending the equipment model of the closest project, and calling the basic model that matches the equipment based on the corresponding equipment foundation, load, power consumption, and instrumentation requirements of different types of equipment in the knowledge library, reading the corresponding load, power consumption, and instrumentation requirements, and filling them into the preset standard information template as a supplement to the information model.

4. The efficient three-dimensional data extraction method for metallurgical auxiliary projects according to claim 3, characterized in that, Step S300 includes: comparing with existing projects in the metallurgical auxiliary station building knowledge case library, recommending the auxiliary equipment and building model of the closest project, calling up the model if it meets the requirements, and reading the corresponding load and power consumption information requirements, and further supplementing other supporting and auxiliary equipment, building models and their corresponding load, power consumption and instrumentation requirements in addition to the main equipment, as a further improvement of the overall information model.

5. The efficient three-dimensional data extraction method for metallurgical auxiliary projects according to claim 4, characterized in that, Step S400 includes: after reading the three-dimensional model information of the pipelines between each process device, performing the following steps respectively: S410. For pipelines below the 0-meter level, trenching or pre-embedding is required. Based on the pipeline's location and direction within the station, a parametric trench can be generated automatically according to preset standard spacing requirements, ensuring the pipeline can pass through while maintaining the specified distance from the trench wall. It also includes commonly used cover types, allowing switching of cover types before trench laying to complete the trench laying process. It also supports removing covers or modifying them after laying. The annotation tool can be used to complete the dimension annotation of the foundation and trench. S420: When overhead pipelines are laid along walls or trenches, parametric embedded parts and supports are invoked. Based on the pipe diameter, the built-in specifications and samples are matched to recommend embedded part and support specifications and layout spacing. Embedded part and support models are automatically generated in batches on the wall surface. Parameters can also be modified and regenerated. After the embedded parts are determined, the embedded part quick annotation tool is invoked to quickly annotate all embedded part dimensions and spacings, and embedded part load requirements are added simultaneously. An embedded part table is generated according to the template. S430 When pipes of different materials pass through walls or water tanks, the knowledge base is called to automatically generate openings, embedded steel pipes, and sleeves that match the pipe diameter and material. After the openings and sleeves are determined, the opening and sleeve dimensions and style labels that conform to professional specifications are generated according to the template, and the sleeve material list is generated at the same time, which can be used for procurement.

6. The efficient three-dimensional data extraction method for metallurgical auxiliary projects according to claim 5, characterized in that, Step S600 includes: the civil engineering professionals read the column, foundation, pipe trench, embedded part, and opening models and their corresponding load requirements from the process data provided in steps S200, S300, and S400 in the design software, and perform detailed design and calculation verification for each structural component. For structural components that fail the calculation, the cross-sectional specifications that do not meet the requirements are modified in the specification drop-down box corresponding to the model. For structural components whose location cannot meet the process layout conditions, the location distribution is adjusted in consultation with the process, and the calculation and verification are performed again until the structural design requirements are met. All modified structural models are returned to the process and simultaneously returned to the electrical and instrumentation professionals for subsequent process design verification and reference for the cable tray and wiring design of electrical and instrumentation professionals.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the efficient three-dimensional data enhancement method for metallurgical auxiliary projects as described in any one of claims 1-6.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the efficient three-dimensional data extraction method for metallurgical auxiliary projects as described in any one of claims 1-6.

Images