Modeling data rapid generation system for digital twinning

By introducing data preprocessing and information removal modules in the digital twin modeling data generation system, analyzing and removing invalid information, and optimizing the digital twin model built through the model verification optimization module, the problem that traditional systems cannot eliminate invalid information is solved, and the problem of improving the problem of improving The accuracy and efficiency of the model are achieved.

CN119150512AInactive Publication Date: 2024-12-17ANHUI ZHISHENG COMMUNICATION TECHNOLOGY SERVICE CO LTD
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Patent Information

Application Number
CN202411035216.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-31
Publication Date
2024-12-17
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The traditional digital twin modeling data generation system cannot effectively analyze and eliminate invalid information in the digital twin model data that was initially collected.

Method used

A system including data acquisition module, data processing module, digital twin model construction module, model verification optimization module and cloud service module was designed. The data preprocessing module analyzes and eliminates invalid information, and the model verification optimization module performs model verification and optimization. .

Benefits of technology

It realizes rapid generation and optimization of digital twin model data, improving the accuracy and efficiency of the model.

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Abstract

The invention discloses a modeling data rapid generation system for digital twinning, and the system comprises a data collection module which is used for collecting digital twinning model data; the data processing module is used for processing the acquired digital twin model data; the digital twinborn model construction module is used for constructing a digital twinborn model according to the processed data; the model verification and optimization module is used for verifying and optimizing the constructed digital twin model; the cloud service module comprises a processor, a database and a storage module; an operation terminal; a data preprocessing module and an information rejecting module are arranged in a data processing module, the data preprocessing module is used for analyzing and judging invalid information in acquired data, and the information rejecting module is used for rejecting the invalid information judged by the data preprocessing module; and the model verification and optimization module is used for verifying and optimizing the constructed digital twinborn model.
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Description

Technical Field

[0001] The present invention relates to the field of engineering digitization technology, and in particular to a system for quickly generating modeling data for digital twins. Background Art

[0002] Since the digital twin technology was proposed, it has been increasingly applied in various fields, such as manufacturing, urban planning, and medical health. By sensing the status and environment of physical entities in real time, the digital twin evolves with the physical entity and maintains a high degree of fidelity. At the same time, through simulation, deduction, and predictive analysis on the digital twin, it acts on the physical entity in turn, supporting remote monitoring, diagnosis, real-time data synchronization, and data analysis. Digital twin technology is a new technology based on digital technology that combines the physical world with the virtual world. It digitizes physical entities and processes in the real world through mathematical and physical modeling methods, and constructs exactly the same digital model, thereby realizing the simulation, monitoring, control, and optimization of physical entities. Digital twins are digital expressions of specific physical entities or processes with data connections. The data connection can ensure the same rate of convergence between the physical state and the virtual state, and provide an integrated view of the entire life cycle of the physical entity or process, which helps to optimize the overall performance.

[0003] However, the traditional digital twin modeling data generation system is unable to analyze and eliminate invalid information in the initially collected digital twin model data. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide a system for quickly generating modeling data for digital twins.

[0005] The present invention achieves the above-mentioned purpose through the following technical solutions: a system for rapid generation of modeling data for digital twins, comprising:

[0006] Data acquisition module, used to collect digital twin model data;

[0007] A data processing module, used to process the collected digital twin model data;

[0008] A digital twin model building module, used to build a digital twin model based on the processed data;

[0009] Model verification and optimization module, used to verify and optimize the constructed digital twin model;

[0010] Cloud service module, including processor, database and storage module;

[0011] Operation terminal.

[0012] Preferably, the data acquisition module includes a camera unit, a laser unit, and a sensor unit.

[0013] Preferably, the data processing module includes a data preprocessing module, an information elimination module, and a data transmission module. The data preprocessing module is used to collect and obtain data for preprocessing and analysis and to determine invalid information. The information elimination module is used to eliminate the invalid information determined by the data preprocessing module. The data transmission module is used to transmit the analysis results.

[0014] Preferably, the storage module is used to call database information and transmit it to the processor for analysis and processing.

[0015] Preferably, the model verification and optimization module includes a comparison module, an evaluation module, a correction module and an optimization module.

[0016] The beneficial effects of the present invention are:

[0017] By setting up a data preprocessing module and an information elimination module in the data processing module, the data preprocessing module is used to analyze and determine the invalid information in the collected data, and the information elimination module is used to eliminate the invalid information determined by the data preprocessing module; through the setting of the model verification and optimization module, it is used to verify and optimize the constructed digital twin model. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the framework structure of the device for identifying objects based on artificial intelligence in the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] like Figure 1 As shown:

[0021] In this embodiment, a system for rapidly generating modeling data for digital twins is provided.

[0022] The present invention achieves the above-mentioned purpose through the following technical solutions: a system for rapid generation of modeling data for digital twins, comprising: a data acquisition module, a data processing module, a digital twin model construction module, a model verification and optimization module, a cloud service module and an operation terminal;

[0023] The data acquisition module includes a camera unit, a laser unit and a sensor unit, which are used to collect digital twin model data;

[0024] The data processing module includes a data preprocessing module, an information elimination module and a data transmission module, which are used to process the collected digital twin model data, wherein the data preprocessing module is used to collect and obtain data for preprocessing and analysis and determine invalid information, the information elimination module is used to eliminate the invalid information determined by the data preprocessing module, and the data transmission module is used to transmit the analysis results;

[0025] The digital twin model construction module is used to construct a digital twin model based on the processed data;

[0026] The model verification and optimization module includes a comparison module, an evaluation module, a correction module and an optimization module, which are used to verify and optimize the constructed digital twin model;

[0027] The cloud service module includes a processor, a database and a storage module, wherein the storage module is used to call database information and transmit it to the processor for analysis and processing;

[0028] Operation terminal.

[0029] Working principle:

[0030] The digital twin model data is collected through the data acquisition module, the collected digital twin model data is analyzed and judged through the data processing module, and invalid information is eliminated. The digital twin model is constructed based on the processed data through the digital twin model construction module, and the constructed digital twin model is verified and optimized through the model verification and optimization module. The database information is called through the cloud service module and passed to the processor for analysis and processing, and the staff performs operations and processing through the operation terminal.

[0031] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0032] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A rapid generation system of modeling data for digital twins, characterized in that: include: Data acquisition module, used to collect digital twin model data; A data processing module, used to process the collected digital twin model data; A digital twin model building module, used to build a digital twin model based on the processed data; Model verification and optimization module, used to verify and optimize the constructed digital twin model; Cloud service module, including processor, database and storage module; Operation terminal.

2. A system for rapid generation of modeling data for digital twins according to claim 1, characterized in that: The data acquisition module includes a camera unit, a laser unit, and a sensor unit.

3. A system for rapid generation of modeling data for digital twins according to claim 1, characterized in that: The data processing module includes a data preprocessing module, an information elimination module, and a data transmission module. The data preprocessing module is used to collect and obtain data for preprocessing and analysis and to determine invalid information. The information elimination module is used to eliminate the invalid information determined by the data preprocessing module. The data transmission module is used to transmit the analysis results.

4. A system for rapid generation of modeling data for digital twins according to claim 1, characterized in that: The storage module is used to call database information and transmit it to the processor for analysis and processing.

5. A system for rapid generation of modeling data for digital twins according to claim 1, characterized in that: The model verification and optimization module includes a comparison module, an evaluation module, a correction module and an optimization module.