A method and system for singleizing an oblique photography model of a steel plant

By acquiring oblique photogrammetry data of a steel plant to generate a DLG and combining it with design data to create a 3D white model, the problems of accuracy and missing attribute information in the individualization of steel plant buildings and structures were solved, achieving efficient 3D dynamic individualization and improving the application value of the model.

CN117132720BActive Publication Date: 2026-06-12CISDI ENGINEERING CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CISDI ENGINEERING CO LTD
Filing Date
2023-08-14
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing oblique photogrammetry technology cannot accurately identify individual structures in steel plants and cannot include relevant attribute information. Traditional methods are time-consuming, labor-intensive, and ineffective. When superimposing two-dimensional vector data, there are problems such as incomplete encapsulation or interference of structures.

Method used

By acquiring oblique photography data of the entire steel plant, generating and correcting digital line drawings (DLG), and combining this with design data to create a three-dimensional white model, the three-dimensional dynamic individualization of buildings and structures is realized. GIS technology is then used for multi-source spatiotemporal data fusion and analysis.

🎯Benefits of technology

It improves the accuracy and application value of oblique photogrammetry model unitization, solves the problems of missing and attribute information of buildings in three-dimensional space, and achieves efficient and accurate unitization results.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present application relates to a kind of steel plant photogrammetry model singulation application method, belong to photogrammetry model singulation technical field, including S1: obtaining the photogrammetry data of whole plant of steel plant;S2: based on the photogrammetry data of whole plant, the digital line drawing DLG data of plant area building structure is generated;S3: obtaining the design data of plant area building structure;S4: according to plant area building structure design data, DLG data is corrected, obtains and matches with photogrammetry model, and conforms to the contour line drawing of plant area building structure profile line that the process and the business characteristics of plant area;S5: in combination with design document, the corrected plant area building structure line drawing data is converted into plant area building structure vector data;S6: based on the plant area building structure vector data, for each building structure production three-dimensional white film;S7: plant area building structure white film is overlaid with the photogrammetry data of whole plant, realizes three-dimensional dynamic singulation application.The present application also includes a kind of system.
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Description

Technical Field

[0001] This invention belongs to the field of oblique photogrammetry model individualization technology, and relates to a method and system for applying oblique photogrammetry model individualization in steel plants. Background Technology

[0002] With the rapid development of the steel industry, oblique photogrammetry technology is being used more and more widely in steel plants. Due to its high efficiency, accuracy, and visualization capabilities, oblique photogrammetry has become the preferred technology for 3D modeling and site management in steel plants. However, due to the modeling mechanism of oblique photogrammetry, it is impossible to select and query individual objects in the model, and it also cannot include relevant attribute information, thus limiting the value and practicality of the 3D data.

[0003] Traditional detailed modeling methods can include comprehensive model information, but this approach is extremely time-consuming and labor-intensive, and difficult to maintain. Physically segmenting oblique photogrammetry data can achieve model segmentation to some extent, but the overall effect of the segmented model is poor, and it still cannot include attribute information or be selected. Oblique photogrammetry model segmentation by overlaying 2D vector data can solve these problems to some extent, but in the context of the dense and complex distribution of buildings and related facilities in steel plants, issues arise such as incomplete wrapping of buildings by vector planes or interference with adjacent facilities, affecting the segmentation effect and quality. Furthermore, this method results in a loss of model segmentation in the third-dimensional space. Therefore, for plant areas like steel plants with a large number of densely distributed buildings and facilities, a more accurate, efficient, and practical oblique photogrammetry model segmentation method is needed to improve the application value of oblique photogrammetry data and its segmentation results. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a method and system for the individualization of oblique photogrammetry models of steel plants. By utilizing oblique photogrammetry and GIS technology, the invention achieves effective individualization and application of oblique photogrammetry models of steel plants, solving the problems of poor effect, lack of information, and limited dimensions in existing oblique photogrammetry individualization methods in steel plant applications.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] On the one hand, the present invention provides a method for the individual application of an oblique photography model of a steel plant, comprising the following steps:

[0007] S1: Obtain complete oblique photography data of the entire steel plant;

[0008] S2: Based on the complete oblique photography data of the entire plant, generate digital line drawing (DLG) data of the plant's buildings and structures;

[0009] S3: Obtain design data for factory buildings and structures;

[0010] S4: Correct the DLG data based on the design data of the factory buildings and structures to obtain a drawing of the outline of the factory buildings and structures that matches the oblique photogrammetry model and conforms to the process and business characteristics of the factory area.

[0011] S5: Based on the design documents, convert the corrected line drawing data of the factory buildings into vector data of the factory buildings;

[0012] S6: Based on the vector data of the factory buildings and structures, create a three-dimensional white model for each building and structure;

[0013] S7: Overlay the white film of the factory buildings and structures with the complete oblique photography data of the entire factory to realize the three-dimensional dynamic individual application of the oblique photography model of the factory buildings and structures.

[0014] Furthermore, step S2 specifically includes the following steps:

[0015] S21: Load the steel plant oblique photogrammetry model into the UAV aerial survey processing software;

[0016] S22: DLG data is collected manually on the oblique photogrammetry results, in accordance with relevant standards.

[0017] Furthermore, step S3 specifically includes the following steps:

[0018] S31: Obtain the design drawings related to the buildings and structures in the factory area, and extract the building and structure design drawings from them;

[0019] S32: Obtain design documents related to buildings and structures in the factory area and extract the attribute information of the buildings and structures.

[0020] Furthermore, step S4 specifically includes the following steps:

[0021] S41: Load the oblique photogrammetry data of the factory area as a base map to assist in the correction of DLG data;

[0022] S42: Overlay DLG and design drawings onto oblique photogrammetry data, and correct the DLG data of buildings and structures in the factory area by referring to the building and structure design drawings.

[0023] Furthermore, step S42 specifically includes the following steps:

[0024] S421: Graphical Adjustment: Compare with the design drawings and adjust the data of building outlines collected in DLG that do not conform to the actual relevant process or business characteristics. The spatial position of the building outlines is based on the DLG data.

[0025] S422: Drawing cleanup: Compare with the design drawings and delete invalid line drawing data collected in the DLG, including non-building structures, temporary construction structures and their related facilities and equipment;

[0026] S423: Drawing Supplement: By comparing with the design drawings, the buildings and structures that are incomplete or not collected in the DLG are manually supplemented. The supplemented building and structure objects are judged based on the design drawings and oblique photogrammetry data, and the position of the supplemented drawing is based on the oblique photogrammetry data.

[0027] Furthermore, step S5 specifically includes the following steps:

[0028] S51: Vectorization of drawings, converting the line drawings of factory buildings into vector surfaces;

[0029] S52: Attribute information linking: After organizing the building attribute information in the design document, link it with the vector surface to form the attribute table of the vector layer of building structures in the factory area.

[0030] S53: Attaching archived documents: Attaching various archived documents from the design, construction, and acceptance processes to the vector surface as attachments to the vector layer of the plant's buildings and structures.

[0031] Furthermore, step S6 specifically includes the following steps:

[0032] S61: Use the indoor floor elevation of the building or structure as the starting height of the three-dimensional white film;

[0033] S62: The termination height of the three-dimensional white film is calculated based on the indoor floor elevation and building height of the building structure;

[0034] S63: Based on the vector layer and the start and end height information, obtain the three-dimensional white film of the factory buildings and structures using GIS software.

[0035] Furthermore, step S7 specifically includes the following steps:

[0036] S71: Combining white film and oblique photography data, it enables individual querying of buildings and structures in 3D real-world scenes;

[0037] S72: Based on the white film of buildings and their attribute information, realize two-dimensional and three-dimensional spatial analysis in real geographic space.

[0038] On the other hand, the present invention provides a system for the individual application of oblique photogrammetry models of steel plants, comprising:

[0039] The data acquisition module is used to acquire or generate oblique photogrammetry data, DLG data, and design data for steel plants.

[0040] The drawing correction module is used to correct the DLG data based on the design data of the factory buildings and structures, so as to obtain the outline drawing of the buildings and structures that meets the actual application requirements.

[0041] The vector conversion module is used to vectorize and supplement information of DLG data based on the drawing correction results and design documents, so as to obtain complete vector data of the factory area buildings and structures.

[0042] The dynamic unitization module is used to generate a white model based on the vector data of the building structure, and combine it with oblique photogrammetry data to realize the dynamic unitization of the 3D real scene model; using the unitized entities, various steel-related information is associated to realize the fusion of multi-source spatiotemporal data and support specific application scenarios;

[0043] The model analysis module is used for the two- and three-dimensional spatial analysis and application of the dynamic individualized results of oblique photogrammetry models. Utilizing spatiotemporal information, it conducts monitoring, feedback, control, and services based on spatiotemporal data through data mining, process simulation, three-dimensional analysis, and real-time interconnection with the real space to obtain simulation effects and realize intelligent applications.

[0044] The beneficial effects of this invention are as follows: By correcting the design data, this invention solves the problems of image quality and quantity in the acquisition of DLG data of steel plant buildings and structures. Furthermore, by processing the corrected data, an unbiased three-dimensional white film is used to replace the two-dimensional layer to realize the individualization of the oblique photogrammetry model of the steel plant, thereby improving the accuracy and application value of the individualization of the oblique photogrammetry model.

[0045] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0046] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein:

[0047] Figure 1 A schematic diagram illustrating the application method of oblique photography model of a steel plant to a single unit;

[0048] Figure 2 A block diagram of a modular application system for an oblique photography model of a steel plant.

[0049] Figure 3 This is a three-dimensional dynamic single-unit schematic diagram of the oblique photogrammetry model of the factory buildings based on the white film. Detailed Implementation

[0050] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0051] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0052] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0053] like Figure 1 As shown, in an exemplary embodiment, the method for individualizing a steel plant oblique photography model includes at least steps S110 to S170, which are detailed below:

[0054] Step S110: Obtain complete oblique photography data of the entire steel plant;

[0055] Step S120: Based on the whole plant oblique photogrammetry data, generate digital line drawing (DLG) data of the plant's buildings and structures;

[0056] Step S130: Based on the DLG data of the factory buildings and structures, obtain the design data of the factory buildings and structures;

[0057] Step S140: Correct the DLG data according to the design drawings of the factory buildings and structures to obtain the outline drawing of the buildings and structures that matches the oblique photogrammetry model and conforms to the process and business characteristics of the factory area.

[0058] Step S150: Based on the design documents, convert the corrected line drawing data of the factory buildings into vector data;

[0059] Step S160: Based on the vector data of the buildings and structures in the factory area, create a three-dimensional white model for each building and structure;

[0060] Step S170: Overlay the white film of the factory buildings and structures with the oblique photography data of the whole factory to realize the three-dimensional dynamic individual application of the oblique photography model of the factory buildings and structures.

[0061] In one embodiment of this application, step S120 specifically includes the following steps:

[0062] Load the steel plant oblique photogrammetry model into the UAV aerial survey processing software, and carry out DLG production of the plant's buildings and structures based on the results. Set the DLG data output format to CAD file.

[0063] The production of DLG in the factory area is based on national or industry standards, and DLG data is collected manually on oblique photogrammetry results.

[0064] For example, the DLG production standard mainly refers to the national standard "National Basic Scale Map Symbols Part 1: 1:500 1:1 000 1:2 000 Topographic Map Symbols" (GB / T 20257.1-2017), and the DLG data scale is 1:500.

[0065] In one embodiment of this application, step S130 specifically includes the following steps:

[0066] Obtain the design drawings related to the factory buildings and extract the building design drawings from them;

[0067] Obtain design documents related to the buildings and structures in the factory area, and extract the attribute information of the buildings and structures, including core basic information such as object name, indoor floor elevation, building height, floor area, and other technical indicators.

[0068] For example, the overall layout of the plant is obtained, and then the building and structure layer is extracted from the overall layout of the plant, with the data type being CAD file;

[0069] For example, the obtained overall plant plan only marked some attribute information of the buildings and structures, and the data was supplemented by obtaining and searching relevant design documents.

[0070] In one embodiment of this application, step S140 specifically includes the following steps:

[0071] Load the oblique photogrammetry data of the factory area as a base map to assist in the correction of the DLG data;

[0072] DLG and design drawings are overlaid on oblique photogrammetry data. The DLG data of the factory buildings and structures are then corrected based on the building design drawings. Specifically, this includes:

[0073] Graphical adjustments are made by comparing the design drawings with the data collected in DLG that do not conform to the actual relevant process or business characteristics of the building outlines. The spatial position of the building outlines is based on the DLG data.

[0074] Drawing cleanup involves comparing the drawings with the design drawings and deleting invalid line drawing data collected in the DLG, including non-building structures, temporary construction structures and their related facilities and equipment.

[0075] To supplement the drawings, the DLG (Digital Lighting Gauge) manually supplements any buildings or structures that are incomplete or missing from the design drawings. The locations of the supplemented buildings and structures are determined based on a combination of the design drawings and the oblique photogrammetry data, with the oblique photogrammetry data serving as the standard for the supplemented drawings.

[0076] For example, the DLG data production of the instance steel plant lacks relevant steel industry standards, and the data production results cannot fully meet the actual production and operation needs. The DLG data correction work is completed by the cooperation of data production personnel and business personnel.

[0077] In one embodiment of this application, step S150 specifically includes the following steps:

[0078] The vectorization conversion of the drawing transforms the line drawings of factory buildings into vector surfaces;

[0079] The attribute information is linked by organizing the building attribute information in the design document and linking it to the vector surface to form the attribute table of the vector layer of building structures in the factory area.

[0080] The archived documents are attached to the vector surface, which includes various archived documents from the design, construction, and acceptance processes, and serve as attachments to the vector layer of the factory's buildings and structures.

[0081] For example, GIS desktop software is used to complete the work of vectorizing and attaching attributes and documents to the corrected DLG data.

[0082] In one embodiment of this application, step S160 specifically includes the following steps:

[0083] The indoor floor elevation of the building is used as the starting height of the three-dimensional white film;

[0084] The termination height of the three-dimensional white film is calculated based on the indoor floor elevation and building height of the building.

[0085] Based on the vector layer and the start and end height information, a 3D white model of the factory buildings is generated.

[0086] For example, the calculation of the attribute information of the building vector layer and the production of the three-dimensional white film of the building in the factory area can be completed by using GIS desktop software.

[0087] In one embodiment of this application, step S170 specifically includes the following steps:

[0088] By combining white film and oblique photography data, individual building structures can be queried in 3D reality.

[0089] Based on the white film of buildings and their attribute information, two-dimensional and three-dimensional spatial analysis can be realized in real geographic space.

[0090] For example, firstly, the symbol style is configured for the completed 3D white film, and the transparency is adjusted. Then, the white film of the factory area and the oblique photogrammetry data are published as a web service through the GIS server and desktop software, serving as the data basis for the individual oblique photogrammetry model of the factory area, and can be called by the individual oblique photogrammetry model application system of the steel plant.

[0091] Figure 2 This is a block diagram illustrating an exemplary embodiment of the oblique photography model of a steel plant, as shown in this application. Figure 2 As shown, the exemplary steel plant oblique photogrammetry model individualization application system includes: a data acquisition module 201, a map correction module 202, a vector conversion module 203, an individualization module 204, and a model analysis module 205.

[0092] The data acquisition module 201 is used to acquire or generate oblique photography data, DLG data and design data of the steel plant;

[0093] The drawing correction module 202 is used to correct the DLG data according to the design data of the factory buildings and structures, so as to obtain the outline drawing of the buildings and structures that meets the actual application requirements.

[0094] The vector conversion module 203 is used to vectorize and supplement information of DLG data according to the drawing correction results and design documents to obtain complete vector data of factory buildings and structures.

[0095] The dynamic unitization module 204 is used to generate a white film based on the vector data of the building structure, and to realize the dynamic unitization of the 3D real-scene model by combining it with oblique photogrammetry data. Using the unitized entities, various steel-related thematic information is associated to achieve multi-source spatiotemporal data fusion, supporting specific application scenarios.

[0096] The model analysis module 205 is used for the two- and three-dimensional spatial analysis and application of the dynamic individualized results of the oblique photogrammetry model. It mainly utilizes spatiotemporal information to conduct monitoring, feedback, control, and services based on spatiotemporal data through data mining, process simulation, three-dimensional analysis, and real-time interconnection with the real space, thereby obtaining simulation effects and realizing intelligent applications.

[0097] like Figure 3 The image shown is a three-dimensional dynamic single-unit schematic diagram of the oblique photogrammetry model of the factory buildings based on the white film, created using this method and system.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions 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 solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for individualizing a steel plant oblique photography model, characterized in that: Includes the following steps: S1: Obtain complete oblique photography data of the entire steel plant; S2: Based on the complete oblique photography data of the entire plant, generate digital line drawing (DLG) data of the plant's buildings and structures; S3: Obtain design data for factory buildings and structures; S4: Correct the DLG data based on the design data of the factory buildings and structures to obtain a drawing of the outline of the factory buildings and structures that matches the oblique photogrammetry model and conforms to the process and business characteristics of the factory area; Step S4 specifically includes the following steps: S41: Load the oblique photogrammetry data of the factory area as a base map to assist in the correction of DLG data; S42: Overlay DLG data and design drawings onto oblique photogrammetry data, and correct the DLG data of buildings and structures in the factory area by referring to the building and structure design drawings; S5: Based on the design documents, convert the corrected outline drawing data of the factory area buildings and structures into vector data of the factory area buildings and structures; step S5 specifically includes the following steps: S51: Vectorization of drawings, converting the outline of factory buildings into vector surfaces; S52: Attribute information linking: After organizing the building attribute information in the design document, link it with the vector surface to form the attribute table of the vector layer of building structures in the factory area. S53: Attaching archived documents: Attaching various archived documents from the design, construction, and acceptance processes to the vector surface as attachments to the vector layer of the plant's buildings and structures; S6: Based on the vector data of the factory buildings and structures, create a three-dimensional white model for each building and structure; step S6 specifically includes the following steps: S61: Use the indoor floor elevation of the building or structure as the starting height of the three-dimensional white film; S62: The termination height of the three-dimensional white film is calculated based on the indoor floor elevation and building height of the building structure; S63: Based on the vector layer and the start and end height information, obtain the three-dimensional white film of the factory buildings and structures using GIS software; S7: Overlay the 3D white model of the factory buildings with the complete oblique photography data of the entire factory to realize the 3D dynamic individual application of the oblique photography model of the factory buildings.

2. The method for individualizing the oblique photography model of a steel plant according to claim 1, characterized in that: Step S2 specifically includes the following steps: S21: Load the steel plant oblique photogrammetry model into the UAV aerial survey processing software; S22: DLG data is collected manually on the oblique photogrammetry results, in accordance with relevant standards.

3. The method for individualizing the oblique photography model of a steel plant according to claim 1, characterized in that: Step S3 specifically includes the following steps: S31: Obtain the design drawings related to the buildings and structures in the factory area, and extract the building and structure design drawings from them; S32: Obtain design documents related to buildings and structures in the factory area and extract the attribute information of the buildings and structures.

4. The method for individualizing the oblique photography model of a steel plant according to claim 1, characterized in that: Step S42 specifically includes the following steps: S421: Graphical Adjustment: Compare with the design drawings and adjust the data of building outlines in the DLG data that do not conform to the actual relevant process or business characteristics. The spatial position of the building outlines is based on the DLG data. S422: Drawing cleanup: Compare with the design drawings and delete invalid line drawing data collected in the DLG data, including non-building structures, temporary construction structures and their related facilities and equipment; S423: Drawing Supplement: By comparing with the design drawings, the buildings and structures that are incomplete or missing in the DLG data are manually supplemented. The supplemented building and structure objects are determined based on a combination of the design drawings and oblique photogrammetry data, and the position of the supplemented drawing is based on the oblique photogrammetry data.

5. The method for individualizing the oblique photography model of a steel plant according to claim 1, characterized in that: Step S7 specifically includes the following steps: S71: Combining 3D white film and oblique photography data, it enables individual querying of buildings and structures in 3D real-world scenes; S72: Based on the three-dimensional white film of buildings and their attribute information, realize two-dimensional and three-dimensional spatial analysis in real geographic space.

6. A system for the individual application of oblique photography models of steel plants, characterized in that: include: The data acquisition module is used to acquire or generate oblique photogrammetry data, DLG data, and design data for steel plants. The drawing correction module is used to correct the DLG data based on the design data of the factory buildings and structures, so as to obtain the outline drawings of the buildings and structures that meet the actual application requirements; the processing steps of the drawing correction module include: S41: Load the oblique photogrammetry data of the factory area as a base map to assist in the correction of DLG data; S42: Overlay DLG data and design drawings onto oblique photogrammetry data, and correct the DLG data of buildings and structures in the factory area by referring to the building and structure design drawings; The vector conversion module is used to vectorize and supplement information of DLG data based on the drawing correction results and design documents, resulting in complete vector data of the factory area's buildings and structures. The processing steps of the vector conversion module include: S51: Vectorization of drawings, converting the outline of factory buildings into vector surfaces; S52: Attribute information linking: After organizing the building attribute information in the design document, link it with the vector surface to form the attribute table of the vector layer of building structures in the factory area. S53: Attaching archived documents: Attaching various archived documents from the design, construction, and acceptance processes to the vector surface as attachments to the vector layer of the plant's buildings and structures; The dynamic individual entity module is used to generate a 3D white model based on the vector data of the building structure, and to achieve dynamic individual entity creation of the 3D reality model by combining oblique photogrammetry data. Using the individual entities, various steel-related thematic information is associated to achieve multi-source spatiotemporal data fusion, supporting specific application scenarios. The processing steps of the dynamic individual entity module include: S61: Use the indoor floor elevation of the building or structure as the starting height of the three-dimensional white film; S62: The termination height of the three-dimensional white film is calculated based on the indoor floor elevation and building height of the building structure; S63: Based on the vector layer and the start and end height information, obtain the three-dimensional white film of the factory buildings and structures using GIS software; The model analysis module is used for the two- and three-dimensional spatial analysis and application of the dynamic individualized results of oblique photogrammetry models. Utilizing spatiotemporal information, it conducts monitoring, feedback, control, and services based on spatiotemporal data through data mining, process simulation, three-dimensional analysis, and real-time interconnection with the real space to obtain simulation effects and realize intelligent applications.