A three-dimensional data label modeling label generation system and method

Abstract

The present invention discloses a model-building label generation system for three-dimensional data labels, which relates to the field of data processing technology, including a cloud service platform, a data acquisition module, a data visualization module, a three-dimensional modeling module, an AR presentation module, a database, a warning module and an intelligent terminal. The present invention can perform data acquisition, image processing of data, synthesize images into three-dimensional models, and perform AR presentation, generate three-dimensional data labels, separate and enlarge the three-dimensional data labels for viewing, make the data labels more intuitive, quickly grasp the general content of the data labels, and find the detailed content in the labels more conveniently. The data in the three-dimensional model can be supplemented and updated, the data in the three-dimensional model can be modified and corrected, and the information data of the three-dimensional model can be compared and judged with the original data to ensure the accuracy of the three-dimensional model, thereby ensuring the accuracy of the three-dimensional data labels.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more specifically, to a three-dimensional data label modeling label generation system and method thereof. Background Art

[0002] Tags are a form of data used to describe the characteristics of business entities. Tags can effectively expand the analysis angle of business entities, and data can be filtered and analyzed by simple operations on different tags. The main purpose of tag classification is to facilitate users to find tags. There are many ways to classify tags, which can be roughly divided into several categories: classification by generation method, classification by business theme, classification by technical characteristics, and classification by usage. The generation of tags can be roughly classified into two categories: manual output and automatic output. Manual output is to generate each tag in turn through handwritten SQL or modeling. Automatic output is a more efficient way to generate multiple tags at one time through logical configuration or data mining.

[0003] However, most of the existing model-building label generation systems generate some simple data labels. For some data labels with large amounts of information, the data labels generated in this way are too large, the labels are less intuitive, it is impossible to directly grasp the general content of the data labels, and it is not convenient to find the detailed content in the labels. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a three-dimensional data label modeling label generation system and method. The problem to be solved by the present invention is: how to improve the modeling and generation processing effect of data labels with a large amount of information, so that the data labels are more intuitive, the approximate content of the data labels can be quickly grasped, the convenience of data labels is improved, and it is more convenient to find the detailed content in the labels.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a model-building label generation system for three-dimensional data labels, comprising a cloud service platform, a data acquisition module, a data visualization module, a three-dimensional modeling module, an AR presentation module, a database, a warning module and an intelligent terminal, wherein the output end of the cloud service platform is respectively connected to the input end of the data acquisition module, the data visualization module, the three-dimensional modeling module, the AR presentation module, the database, the warning module and the intelligent terminal, and the input end of the cloud service platform is respectively connected to the output end of the data acquisition module, the data visualization module, the three-dimensional modeling module, the AR presentation module, the database, the warning module and the intelligent terminal, the data acquisition module comprises a data acquisition unit, a data analysis unit and a data integration unit, the data visualization module comprises a data feature sorting unit and a feature visualization unit, the three-dimensional modeling module comprises an image analysis unit, an image sorting unit and a three-dimensional model synthesis unit, the AR presentation module comprises a three-dimensional model display unit and a motion capture unit, and the intelligent terminal comprises a modeling supplement unit, a modeling correction unit, a judgment unit and an evaluation unit.

[0006] In a preferred embodiment, the intelligent terminal is a smart phone, a tablet computer, a networked computer or other intelligent devices.

[0007] In a preferred embodiment, the output end of the database is connected to the input end of the intelligent terminal, and the input end of the database is connected to the output end of the intelligent terminal.

[0008] In a preferred embodiment, the cloud service platform includes a central processing unit, an information transceiver unit and a storage unit, and the storage unit includes a cloud storage and a local storage.

[0009] In a preferred embodiment, the warning module includes a warning light and a buzzer, and the warning light and the buzzer are arranged inside the system monitoring center.

[0010] The present invention also provides a method for using a three-dimensional data label generation system, comprising the following steps:

[0011] a) The system is turned on through the intelligent terminal, the data acquisition unit in the data acquisition module collects data from the items to be generated with data tags, the data analysis unit analyzes and processes the data, the data integration unit integrates and processes the data, and sends the collected, analyzed and integrated data to the cloud service platform;

[0012] b) the cloud service platform sends the received data to the data imaging module and the database, the data feature sorting unit in the data imaging module sorts and classifies the features of the data, the feature imaging unit images the sorted and classified data features, integrates the data features into an image, and sends the image to the cloud service platform;

[0013] c) the cloud service platform sends the received image to the 3D modeling module and the database, the image analysis unit in the 3D modeling module analyzes and processes the image, the image sorting unit integrates and processes the image, the 3D model synthesis unit synthesizes and models the image after integration and analysis, synthesizes the 3D model, and sends the 3D model to the cloud service platform;

[0014] d) the cloud service platform sends the received three-dimensional model to the AR presentation module, the database and the smart terminal; the three-dimensional model display unit in the AR presentation module can display the three-dimensional model as a three-dimensional image and generate a three-dimensional data tag; the motion capture unit can capture the motion of the three-dimensional data tag viewer, and then combine and correspond the three-dimensional data tags to realize the extraction and viewing of the three-dimensional data tags, so as to facilitate the viewing of various data in the three-dimensional data tags;

[0015] e) The database is used to store data of the three-dimensional model and update it in real time to expand the three-dimensional model data. If the object for which the data label is to be generated is the same or similar to the object for which the three-dimensional model has been built, the data can be directly substituted into the existing three-dimensional model to generate a new three-dimensional data label, and the label generation rate is high;

[0016] f) The modeling supplement unit in the intelligent terminal is used to supplement the data in the three-dimensional model, and can supplement and update the data in the three-dimensional model. The modeling correction unit can modify and correct the data in the three-dimensional model to ensure the accuracy of the three-dimensional model. The judgment unit can compare and judge the information data of the three-dimensional model with the original data. When the information data of the three-dimensional model is consistent with the original data, the three-dimensional model is used normally. When the information data of the three-dimensional model is inconsistent with the original data, an instruction is sent to the warning module through the cloud service platform to warn, and the three-dimensional model information data is modified and corrected at the same time. The three-dimensional model that has been modified, corrected or supplemented with data needs to be judged by the judgment unit. The user can evaluate the three-dimensional model and the system through the evaluation unit, and the system absorbs the evaluation opinions and improves the system;

[0017] g) The user or the person in charge of the system can view the data in the system in real time through the intelligent terminal, and the operation is convenient and fast.

[0018] In a preferred embodiment, in the process of arranging data features, the data features are classified into: underlying foundation, middle-level support, high-level architecture and external expression. In the process of imaging the features, the various data features in the classification are imaged and then integrated into the classification images of underlying foundation, middle-level support, high-level architecture and external expression. The three-dimensional data label viewer can separate and amplify the underlying foundation, middle-level support, high-level architecture and external expression in the three-dimensional data label through the motion capture unit.

[0019] Technical effects and advantages of the present invention:

[0020] 1. The present invention collects, analyzes and organizes data for items to be generated with data labels by setting up a cloud service platform, a data collection module, a data visualization module, a three-dimensional modeling module, an AR presentation module, a database and an intelligent terminal. It can perform feature sorting and classification and image processing on the data, analyze and integrate the images for modeling, synthesize three-dimensional models, and perform AR presentation to generate three-dimensional data labels. The three-dimensional data labels can be separated and enlarged for viewing. The modeling generation effect of data labels with large amounts of information is good, the data labels are more intuitive, the general content of the data labels can be quickly grasped, and the detailed content in the labels can be found more conveniently.

[0021] 2. The present invention can supplement and update the data in the three-dimensional model, modify and correct the data in the three-dimensional model to ensure the accuracy of the three-dimensional model by setting a modeling supplement unit, a modeling correction unit, a judgment unit and an evaluation unit in the intelligent terminal, and can compare and judge the information data of the three-dimensional model with the original data to ensure the accuracy of the three-dimensional model, thereby ensuring the accuracy of the three-dimensional data label. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a block diagram of the module connections of the present invention as a whole.

[0023] Figure 2 Schematic diagram of the workflow for generating labels for the present invention.

[0024] Figure 3 This is a schematic diagram of the workflow of viewing data tags according to the present invention.

[0025] Figure 4 Schematic diagram of the workflow of the three-dimensional model of the present invention.

[0026] The accompanying drawings are marked as follows: 1 cloud service platform, 2 data acquisition module, 3 data visualization module, 4 three-dimensional modeling module, 5AR presentation module, 6 database, 7 warning module, 8 intelligent terminal, 9 central processing unit, 10 information transceiver unit, 11 storage unit, 12 data acquisition unit, 13 data analysis unit, 14 data integration unit, 15 data feature sorting unit, 16 feature visualization unit, 17 image analysis unit, 18 image sorting unit, 19 three-dimensional model synthesis unit, 20 three-dimensional model display unit, 21 motion capture unit, 22 modeling supplement unit, 23 modeling correction unit, 24 judgment unit, 25 evaluation unit. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] like Figure 1-3 A stereoscopic data label pattern generation system shown in FIG. 1 includes a cloud service platform 1, a data acquisition module 2, a data visualization module 3, a three-dimensional modeling module 4, an AR presentation module 5, a database 6, a warning module 7 and an intelligent terminal 8. The output end of the cloud service platform 1 is respectively connected to the input ends of the data acquisition module 2, the data visualization module 3, the three-dimensional modeling module 4, the AR presentation module 5, the database 6, the warning module 7 and the intelligent terminal 8. The input end of the cloud service platform 1 is respectively connected to the output ends of the data acquisition module 2, the data visualization module 3, the three-dimensional modeling module 4, the AR presentation module 5, the database 6, the warning module 7 and the intelligent terminal 8. The data acquisition module 2 includes a data acquisition unit 12, a data analysis unit 13 and a data integration unit 14. The data visualization module 3 includes a data feature sorting unit 15 and a feature visualization unit 16. The three-dimensional modeling module 4 includes an image analysis unit 17, an image sorting unit 18 and a three-dimensional model synthesis unit 19. The AR presentation module 5 includes a three-dimensional model display unit 20 and a motion capture unit 21.

[0029] The intelligent terminal 8 is a smart phone, a tablet computer, a networked computer or other intelligent devices.

[0030] The output end of the database 6 is connected to the input end of the intelligent terminal 8 , and the input end of the database 6 is connected to the output end of the intelligent terminal 8 .

[0031] The cloud service platform 1 includes a central processing unit 9, an information transceiver unit 10 and a storage unit 11, and the storage unit 11 includes a cloud storage and a local storage.

[0032] The warning module 7 includes a warning light and a buzzer, and the warning light and the buzzer are arranged inside the system monitoring center.

[0033] The present invention also provides a method for using a three-dimensional data label generation system, comprising the following steps:

[0034] a) The system is turned on through the intelligent terminal 8, the data acquisition unit 12 in the data acquisition module 2 collects data on the items to be generated with data tags, the data analysis unit 13 analyzes and processes the data, the data integration unit 14 integrates and processes the data, and sends the collected, analyzed and integrated data to the cloud service platform 1;

[0035] b) the cloud service platform 1 sends the received data to the data imaging module 3 and the database 6, the data feature sorting unit 15 in the data imaging module 3 sorts and classifies the features of the data, the feature imaging unit 16 images the sorted and classified data features, integrates the data features into an image, and sends the image to the cloud service platform 1;

[0036] c) the cloud service platform 1 sends the received image to the 3D modeling module 4 and the database 6, the image analysis unit 17 in the 3D modeling module 4 analyzes and processes the image, the image sorting unit 18 integrates and processes the image, the 3D model synthesis unit 19 synthesizes and models the image after integration and analysis, synthesizes the 3D model, and sends the 3D model to the cloud service platform 1;

[0037] d) The cloud service platform 1 sends the received three-dimensional model to the AR presentation module 5, the database 6 and the smart terminal 8. The three-dimensional model display unit 20 in the AR presentation module 5 can display the three-dimensional model in a three-dimensional image and generate a three-dimensional data tag. The motion capture unit 21 can capture the motion of the three-dimensional data tag viewer, and then combine and correspond the three-dimensional data tags to realize the extraction and viewing of the three-dimensional data tags, so as to facilitate the viewing of various data in the three-dimensional data tags;

[0038] e) The database 6 is used to store data of the three-dimensional model and update it in real time to expand the three-dimensional model data. If the object for which the data label is to be generated is the same or similar to the object for which the three-dimensional model has been built, the data can be directly substituted into the existing three-dimensional model to generate a new three-dimensional data label, and the label generation rate is high;

[0039] f) The user or the person in charge of the system can view the data in the system in real time through the intelligent terminal 8, which is convenient and fast to operate.

[0040] In the process of arranging data features, the data features are classified into: bottom-level foundation, middle-level support, high-level architecture and external expression. In the process of visualizing the features, various data features in the classification are visualized and then integrated into the classification images of bottom-level foundation, middle-level support, high-level architecture and external expression. The three-dimensional data label viewer can separate and amplify the bottom-level foundation, middle-level support, high-level architecture and external expression in the three-dimensional data label through the motion capture unit 21.

[0041] This implementation specifically solves the problem in the background technology of how to improve the modeling and generation processing effect of data labels with large amounts of information, make data labels more intuitive, quickly grasp the approximate content of data labels, improve the convenience of data labels, and make it easier to find detailed content in labels.

[0042] As attached Figure 1-2 and attached Figure 4 A three-dimensional data label modeling label generation system is shown, wherein the intelligent terminal 8 includes a modeling supplement unit 22, a modeling correction unit 23, a judgment unit 24 and an evaluation unit 25.

[0043] The specific implementation method is as follows: when in use, the modeling supplement unit 22 in the intelligent terminal 8 is used to supplement the data in the three-dimensional model, and can supplement and update the data in the three-dimensional model. The modeling correction unit 23 can modify and correct the data in the three-dimensional model to ensure the accuracy of the three-dimensional model. The judgment unit 24 can compare and judge the information data of the three-dimensional model with the original data. When the information data of the three-dimensional model is consistent with the original data, the three-dimensional model is used normally. When the information data of the three-dimensional model is inconsistent with the original data, an instruction is sent to the warning module 7 through the cloud service platform 1 to issue a warning, and the three-dimensional model information data is modified and corrected at the same time. The three-dimensional model that has been modified, corrected or supplemented with data needs to be judged by the judgment unit 24. The user can evaluate the three-dimensional model and the system through the evaluation unit 25, and the system absorbs the evaluation opinions and improves the system.

[0044] Working principle of the present invention:

[0045] Refer to the instruction manual Figure 1-3 , by setting up a cloud service platform 1, a data collection module 2, a data visualization module 3, a three-dimensional modeling module 4, an AR presentation module 5, a database 6 and an intelligent terminal 8, data collection, analysis and organization of items for which data labels are to be generated can be performed, and data can be characterized and classified and imaged. Images can be analyzed, integrated and modeled, three-dimensional models can be synthesized, and AR presentation can be performed to generate three-dimensional data labels. Three-dimensional data labels can be separated and enlarged for viewing, and the modeling generation effect of data labels with large amounts of information is good. Data labels are more intuitive, and the general content of data labels can be quickly grasped, and it is more convenient to find detailed content in the labels;

[0046] For further information, please refer to the attached manual. Figure 1-2 and attached Figure 4 By setting a modeling supplement unit 22, a modeling correction unit 23, a judgment unit 24 and an evaluation unit 25 in the intelligent terminal 8, the data in the three-dimensional model can be supplemented and updated, the data in the three-dimensional model can be modified and corrected to ensure the accuracy of the three-dimensional model, and the information data of the three-dimensional model can be compared and judged with the original data to ensure the accuracy of the three-dimensional model, thereby ensuring the accuracy of the three-dimensional data label.

[0047] Finally, a few points should be explained: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, which may refer to mechanical connection or electrical connection, or internal communication between two components, or direct connection. "upper", "lower", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may change;

[0048] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0049] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A three-dimensional data label generation system, comprising a cloud service platform (1), a data acquisition module (2), a data visualization module (3), a three-dimensional modeling module (4), an AR presentation module (5), a database (6), a warning module (7) and an intelligent terminal (8), characterized in that: The output end of the cloud service platform (1) is respectively connected to the input end of the data acquisition module (2), the data visualization module (3), the three-dimensional modeling module (4), the AR presentation module (5), the database (6), the warning module (7) and the intelligent terminal (8); the input end of the cloud service platform (1) is respectively connected to the output end of the data acquisition module (2), the data visualization module (3), the three-dimensional modeling module (4), the AR presentation module (5), the database (6), the warning module (7) and the intelligent terminal (8); the data acquisition module (2) includes a data acquisition unit (12), a data analysis unit (13), a data processing unit (14), a data processing unit (15), a data analysis unit (16), a data processing unit (17), a data analysis unit (18), a data processing unit (19), a data analysis unit (21), a data analysis unit (19), a data analysis unit (11), a data analysis unit (12 ... The method comprises: comprising: a data analysis unit (13) and a data integration unit (14); the data visualization module (3) comprises a data feature sorting unit (15) and a feature visualization unit (16); the three-dimensional modeling module (4) comprises an image analysis unit (17), an image sorting unit (18) and a three-dimensional model synthesis unit (19); the AR presentation module (5) comprises a three-dimensional model display unit (20) and a motion capture unit (21); the intelligent terminal (8) comprises a modeling supplement unit (22), a modeling correction unit (23), a judgment unit (24) and an evaluation unit (25); a method for using a three-dimensional data label modeling label generation system, characterized in that it comprises the following steps: a) starting the system through the intelligent terminal (8), the data collection unit (12) in the data collection module (2) collects data from the item for which the data tag is to be generated, the data analysis unit (13) analyzes and processes the data, the data integration unit (14) integrates and processes the data, and sends the collected, analyzed and integrated data to the cloud service platform (1); b) the cloud service platform (1) sends the received data to the data imaging module (3) and the database (6); the data feature sorting unit (15) in the data imaging module (3) sorts and classifies the features of the data; the feature imaging unit (16) images the sorted and classified data features, integrates the data features into an image, and sends the image to the cloud service platform (1); c) the cloud service platform (1) sends the received image to the three-dimensional modeling module (4) and the database (6); the image analysis unit (17) in the three-dimensional modeling module (4) analyzes and processes the image; the image sorting unit (18) integrates and processes the image; the three-dimensional model synthesis unit (19) synthesizes and models the image after integration and analysis, synthesizes the three-dimensional model, and sends the three-dimensional model to the cloud service platform (1); d) the cloud service platform (1) sends the received three-dimensional model to the AR presentation module (5), the database (6) and the intelligent terminal (8); the three-dimensional model display unit (20) in the AR presentation module (5) can display the three-dimensional model in a three-dimensional image and generate a three-dimensional data tag; the motion capture unit (21) can capture the motion of the three-dimensional data tag viewer and then combine and correspond the three-dimensional data tags to realize the extraction and viewing of the three-dimensional data tags, so as to facilitate the viewing of various data in the three-dimensional data tags; e) The database (6) is used to store data of the three-dimensional model and update it in real time to expand the three-dimensional model data. If the object for which the data label is to be generated is the same or similar to the object for which the three-dimensional model has been built, the data can be directly substituted into the existing three-dimensional model to generate a new three-dimensional data label, and the label generation rate is high; f) The modeling supplement unit (22) in the intelligent terminal (8) is used to supplement the data in the three-dimensional model, and can supplement and update the data in the three-dimensional model. The modeling correction unit (23) can modify and correct the data in the three-dimensional model to ensure the accuracy of the three-dimensional model. The judgment unit (24) can compare and judge the information data of the three-dimensional model with the original data. When the information data of the three-dimensional model is consistent with the original data, the three-dimensional model is used normally. When the information data of the three-dimensional model is inconsistent with the original data, the cloud service platform (1) sends an instruction to the warning module (7) to issue a warning, and at the same time, the three-dimensional model information data is modified and corrected. The three-dimensional model that has been modified, corrected or supplemented with data needs to be judged by the judgment unit (24). The user can evaluate the three-dimensional model and the system through the evaluation unit (25), and the system absorbs the evaluation opinions and improves the system; g) The user or the person in charge of the system can view the data in the system in real time through the intelligent terminal (8), and the operation is convenient and fast.

2. The three-dimensional data label generation system according to claim 1, characterized in that: The intelligent terminal (8) is a smart phone, a tablet computer, a networked computer or other intelligent device.

3. The three-dimensional data label generation system according to claim 1, characterized in that: The output end of the database (6) is connected to the input end of the intelligent terminal (8), and the input end of the database (6) is connected to the output end of the intelligent terminal (8).

4. The three-dimensional data label generation system according to claim 1, characterized in that: The cloud service platform (1) comprises a central processing unit (9), an information transceiver unit (10) and a storage unit (11).

5. The three-dimensional data label generation system according to claim 4, characterized in that: The storage unit (11) includes a cloud storage and a local storage.

6. The three-dimensional data label generation system according to claim 1, characterized in that: The warning module (7) comprises a warning light and a buzzer, and the warning light and the buzzer are arranged inside the system monitoring center.

7. The three-dimensional data label generation system according to claim 1, characterized in that: In the process of organizing data features, the data features are classified into: underlying foundation, middle-level support, high-level architecture and external performance.

8. The three-dimensional data label generation system according to claim 7, characterized in that: In the process of visualizing the features, various data features in the classification are visualized and then integrated into the classification images of the underlying foundation, middle-level support, high-level architecture and external expression.

9. A three-dimensional data label generation system according to claim 8, characterized in that: The three-dimensional data label viewer can separate and amplify the bottom layer foundation, middle layer support, high layer architecture and external expression in the three-dimensional data label through the motion capture unit (21).

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