An application method and system of digital twin technology based on an internet of things platform

Abstract

The application provides an application method and system of digital twin technology based on an Internet of Things platform, and the method comprises the following steps: screening initial device information in the Internet of Things platform according to a unity condition to obtain creative device data information, constructing a digital twin model based on the creative device data information, inputting creative data collected by the Internet of Things platform into the digital twin model, analyzing whether the creative data is reasonable, creating a creative scheme according to the creative data and putting the creative scheme into use when the creative data is reasonable, accurately evaluating whether the creative scheme is feasible at a micro level according to the evaluation result of the creative data on specific devices, realizing accurate analysis of data, guaranteeing objectivity of an analysis result, being capable of learning the feasibility of the creative scheme in time, and improving evaluation accuracy.

Description

Technical Field

[0001] This invention relates to the field of digital twin technology applications, and particularly to digital twin technology application methods and systems based on an Internet of Things (IoT) platform. Background Technology

[0002] A digital twin is a virtual model of a physical entity created digitally. It simulates the behavior of the physical entity in the real world using data, and adds or expands new capabilities to the physical entity through virtual-real interaction, data fusion analysis, and iterative decision optimization. As a technology that fully utilizes models, data, intelligence, and integrates multiple disciplines, digital twins serve as a bridge between the physical and information worlds throughout the entire product lifecycle, providing more real-time, efficient, and intelligent services. Digital twins have the following characteristics: ① They integrate various types of data about the physical object, providing a faithful mapping of the physical object; ② They exist throughout the entire lifecycle of the physical object, evolving alongside it and continuously accumulating relevant knowledge; ③ They can not only describe the physical object but also model it.

[0003] The development of digital twin technology has brought new possibilities to the development of new ideas, and can more accurately analyze the shortcomings of creative data. However, the current application of digital twin technology usually maps creative data to a general digital twin model. The output evaluation results can only assess the feasibility of creative data from a macro perspective. It cannot accurately evaluate each specific device attribute, resulting in the final evaluation results lacking micro-usability and reducing the evaluation accuracy. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides a digital twin technology application method and system based on an Internet of Things (IoT) platform. This addresses the issue mentioned in the background art where the evaluation results output by mapping creative data onto a general digital twin model can only macroscopically assess the feasibility of the creative data, failing to accurately evaluate each specific device attribute. Consequently, the final evaluation results lack microscopic usability, reducing the accuracy of the evaluation.

[0005] A method for applying digital twin technology based on an Internet of Things (IoT) platform includes the following steps:

[0006] Based on Unity criteria, filter initial device information in the IoT platform to obtain creative device data information;

[0007] A digital twin model is constructed based on the data information of the aforementioned creative equipment;

[0008] The creative data collected by the IoT platform is acquired and input into the digital twin model, and the rationality of the creative data is analyzed.

[0009] When the creative data is reasonable, a creative solution is created based on the creative data and put into use.

[0010] Preferably, the process of filtering initial device information in the IoT platform based on Unity criteria to obtain creative device data information includes:

[0011] Parse the Unity condition to obtain its logical structure;

[0012] Analyze the creative device attributes corresponding to each structural layer in the logical structure;

[0013] Based on the attributes of the creative device, the data in each structural layer is converted into layer information corresponding to the attributes, and a filtering model is established based on the layer information.

[0014] The initial device information in the IoT platform is obtained, and the initial device information is input into the filtering model for filtering to obtain creative device data information.

[0015] Preferred options also include:

[0016] When the creative data is unreasonable, obtain several unreasonable points on the creative data, and determine the violation type corresponding to each unreasonable point;

[0017] By integrating several unreasonable points and their violation types, a violation list for creative data is obtained.

[0018] The list of violations is transmitted to a designated terminal for display.

[0019] Preferably, the process of constructing a digital twin model based on the creative device data information includes:

[0020] The data information of the creative device is mapped to obtain several mapping points;

[0021] Analyze the logical relationships between different mapping points and establish a logical framework diagram;

[0022] Based on the logical relationship between different mapping points, corresponding virtual sub-models are established for each mapping point;

[0023] The virtual sub-models are arranged based on the aforementioned logical framework diagram to obtain the first virtual model;

[0024] Analyze the mapping distance between different virtual sub-models in the first virtual model. When the preset distance is greater than the preset distance, correct the corresponding virtual sub-model to obtain the second virtual model.

[0025] The creative device data information is input into the second virtual model and run to obtain a digital twin model.

[0026] Preferably, the process of acquiring creative data collected by the IoT platform and inputting it into the digital twin model includes:

[0027] Obtain several pieces of current data collected by the IoT platform;

[0028] Each current data point is analyzed separately to obtain the first data feature corresponding to each current data point;

[0029] Obtain second data features compatible with the digital twin model;

[0030] Compare the first data feature and the second data feature, and extract the target current data whose data features are consistent with the second data feature based on the comparison result; record it as creative data.

[0031] The creative data is converted into a preset data format and transmitted to the digital twin model.

[0032] Preferably, the process of analyzing whether the creative data is reasonable includes:

[0033] The creative data is input into a preset information analysis model for information analysis, and the first output information of the preset information analysis model is obtained.

[0034] The first output information is divided into several information segments and clustered to obtain several information categories;

[0035] Obtain the information attributes corresponding to each information category, and obtain the attribute weight of each information category in the output information;

[0036] The amount of information corresponding to each information category is obtained, and the content weight of each information category in the output information is obtained.

[0037] Based on the attribute weights and content weights, the information credibility of each information segment in the output information is obtained, and the creative data is corrected using the information credibility.

[0038] The revised creative data is input into the data twin model for reasonable analysis to obtain the second output information of the data twin model;

[0039] When the second output information contains a segment with a credibility lower than the preset credibility, it is determined that the actual creative data is unreasonable.

[0040] Conversely, this confirms that the creative data is reasonable.

[0041] Preferably, after determining that the creative data is unreasonable, the process includes:

[0042] Information segments with a credibility level lower than the preset credibility level are recorded as target information segments;

[0043] Mark the first position of the target information segment in the output information;

[0044] The process of acquiring the creative data and analyzing it in the digital twin model is then used to establish a reverse analysis process for the analysis process.

[0045] The output information of the first marked position is transmitted to the reverse analysis process to obtain the second position of the target information segment in the real-time data, and the sub-creative data at the second position is obtained.

[0046] Obtain the standard data specifications at the second position, and parse the sub-creative data to obtain the sub-data specifications of the sub-creative data;

[0047] Based on the specification difference between the sub-data specification and the standard data specification, unreasonable attributes of the creative data are searched in the preset database.

[0048] A digital twin technology application system based on an Internet of Things (IoT) platform, the system comprising:

[0049] The acquisition module is used to filter initial device information in the IoT platform based on Unity criteria to obtain creative device data information;

[0050] The construction module is used to build a digital twin model based on the data information of the creative device;

[0051] The analysis module is used to acquire creative data collected by the IoT platform and input it into the digital twin model to analyze whether the creative data is reasonable.

[0052] The determination module is used to create a creative solution and put it into use when the creative data is reasonable.

[0053] Through the above technical solution, the present invention achieves the following beneficial effects:

[0054] 1) By filtering initial device data in the IoT platform according to Unity conditions, creative device data information is obtained and a digital twin model is established. Then, the rationality of creative data can be analyzed using the digital twin model. In this way, the feasibility of creative solutions at the micro level can be accurately evaluated based on the evaluation results of creative data on specific devices. This achieves precise data matching analysis, ensures the objectivity of analysis results, allows for timely understanding of the feasibility of creative solutions, and improves the accuracy of evaluation.

[0055] 2) Since different creative devices will generate different creative device data, in order to achieve unified analysis and management, we first parse the Unity conditions to obtain the Unity condition data structure, and then obtain the attributes of the creative devices. Then, we can build a filtering model based on the creative device attributes, and use the refresh model to filter creative device data information from a large number of initial device information, thus achieving the goal of unified analysis of multiple types of data.

[0056] 3) To further analyze the illegality of creative ideas, we first obtain several illegal points from the creative data, then generate a violation list based on the violation type corresponding to each illegal point, which is then reviewed by relevant personnel to adjust the relevant creative content in a timely manner.

[0057] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0058] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0059] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0060] Figure 1 A flowchart illustrating the application method of digital twin technology based on an Internet of Things platform provided by this invention;

[0061] Figure 2 A schematic diagram illustrating the composition of a digital twin technology application system based on an Internet of Things platform provided by this invention;

[0062] Figure 3 This is a flowchart illustrating the process of acquiring creative data collected by an IoT platform and inputting it into the digital twin model in an embodiment of the present invention.

[0063] Figure 4 The present invention provides a structural diagram of a digital twin technology application system based on an Internet of Things platform. Detailed Implementation

[0064] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0065] A digital twin is a virtual model of a physical entity created digitally. It simulates the behavior of the physical entity in the real world using data, and adds or expands new capabilities to the physical entity through virtual-real interaction, data fusion analysis, and iterative decision optimization. As a technology that fully utilizes models, data, intelligence, and integrates multiple disciplines, digital twins serve as a bridge between the physical and information worlds throughout the entire product lifecycle, providing more real-time, efficient, and intelligent services. Digital twins have the following characteristics: ① They integrate various types of data about the physical object, providing a faithful mapping of the physical object; ② They exist throughout the entire lifecycle of the physical object, evolving alongside it and continuously accumulating relevant knowledge; ③ They can not only describe the physical object but also model it.

[0066] The development of digital twin technology has brought new possibilities to the development of novel ideas, enabling more accurate analysis of the shortcomings of creative data. However, existing digital twin applications typically map creative data onto a general digital twin model, and the output evaluation results can only assess the feasibility of the creative data from a macroscopic perspective. This lack of precise evaluation for each specific device attribute results in a lack of microscopic usability, thus reducing the accuracy of the evaluation. To address these issues, this embodiment discloses a method for applying digital twin technology based on an Internet of Things (IoT) platform.

[0067] A method for applying digital twin technology based on an Internet of Things (IoT) platform, such as Figure 1 As shown, it includes the following steps:

[0068] Step S101: Filter the initial device information in the IoT platform according to Unity conditions to obtain creative device data information;

[0069] Step S102: Construct a digital twin model based on the creative device data information;

[0070] Step S103: Obtain the creative data collected by the IoT platform and input it into the digital twin model, and analyze whether the creative data is reasonable;

[0071] Step S104: When the creative data is reasonable, create a creative solution based on the creative data and put it into use.

[0072] In this embodiment, the Unity condition represents the execution conditions for a real-time 3D interactive content creation and operation platform;

[0073] In this embodiment, the initial device information refers to all device information in the IoT platform, including creative device data information, other device data information, and other device non-data information.

[0074] In this embodiment, creative device data information refers to the device data information possessed by the device capable of executing the creative solution;

[0075] In this embodiment, the creative solution refers to a completely new solution that has not been used before.

[0076] The working principle of the above technical solution is as follows: Initial device information in the IoT platform is filtered according to Unity conditions to obtain creative device data information. A digital twin model is constructed based on the creative device data information. Creative data collected by the IoT platform is obtained and input into the digital twin model. The rationality of the creative data is analyzed. When the creative data is rational, a creative solution is created based on the creative data and put into use.

[0077] The beneficial effects of the above technical solution are as follows: By filtering initial device data in the IoT platform according to Unity conditions, creative device data information is obtained, and a digital twin model is established. Then, the rationality of the creative data can be analyzed using the digital twin model. In this way, the feasibility of the creative solution at the micro level can be accurately evaluated based on the evaluation results of the creative data on specific devices. This achieves precise data matching analysis, ensures the objectivity of the analysis results, allows for timely understanding of the feasibility of the creative solution, improves the evaluation accuracy, and solves the problem that the evaluation results output by mapping creative data to a general digital twin model in the existing technology can only evaluate the feasibility of the creative data from a macro perspective, and cannot accurately evaluate each specific device attribute, resulting in the final evaluation results lacking micro-level usability and reducing the evaluation accuracy.

[0078] In one embodiment, such as Figure 2 As shown, the process of filtering initial device information in the IoT platform based on Unity criteria to obtain creative device data information includes:

[0079] Step S201: Parse the Unity condition to obtain the logical structure of the Unity condition;

[0080] Step S202: Analyze the creative device attributes corresponding to each structural layer in the logical structure;

[0081] Step S203: Based on the creative device attributes, convert the data in each structural layer into layer information corresponding to the attributes, and establish a filtering model based on the layer information;

[0082] Step S204: Obtain initial device information from the IoT platform, input the initial device information into the filtering model for filtering, and obtain creative device data information.

[0083] In this embodiment, the logical structure represents the logical structure between different condition elements in a Unity condition;

[0084] In this embodiment, the creative device attribute represents the features that distinguish this creative device from other creative devices;

[0085] In this embodiment, the structural layer consists of two or more elements with structural features from the creative device data;

[0086] In this embodiment, layer information represents the way data is expressed after being converted into the target format.

[0087] The beneficial effects of the above technical solution are as follows: Since different creative devices will generate different creative device data, in order to analyze and manage them in a unified manner, the Unity conditions are first parsed to obtain the data structure of the Unity conditions, and then the attributes of the creative devices can be obtained. Then, a filtering model can be established based on the creative device attributes, and the creative device data information can be filtered from a large number of initial device information using the refresh model, thus achieving the goal of unified analysis of multiple types of data.

[0088] In one embodiment, it also includes:

[0089] When the creative data is unreasonable, obtain several unreasonable points on the creative data, and determine the violation type corresponding to each unreasonable point;

[0090] By integrating several unreasonable points and their violation types, a violation list for creative data is obtained.

[0091] The list of violations is transmitted to a designated terminal for display.

[0092] In this embodiment, the raw data represents all data collected by the IoT platform, and this data has not undergone any processing;

[0093] In this embodiment, the first target data source refers to data belonging to Unity's basic information.

[0094] The beneficial effects of the above technical solution are as follows: In order to further analyze the illegality of creative ideas, several illegal points are first obtained from the creative data. Then, based on the violation type corresponding to each illegal point, a violation list is generated for relevant personnel to review and adjust the relevant creative content in a timely manner.

[0095] In one embodiment, the process of constructing a digital twin model based on the creative device data information includes:

[0096] The data information of the creative device is mapped to obtain several mapping points;

[0097] Analyze the logical relationships between different mapping points and establish a logical framework diagram;

[0098] Based on the logical relationship between different mapping points, corresponding virtual sub-models are established for each mapping point;

[0099] The virtual sub-models are arranged based on the aforementioned logical framework diagram to obtain the first virtual model;

[0100] Analyze the mapping distance between different virtual sub-models in the first virtual model. When the preset distance is greater than the preset distance, correct the corresponding virtual sub-model to obtain the second virtual model.

[0101] The creative device data information is input into the second virtual model and run to obtain a digital twin model.

[0102] In this embodiment, mapping processing refers to the operation of mapping creative device data to virtual space;

[0103] In this embodiment, the mapping point represents a number of information-laden mapping points generated by the creative device data in the virtual space;

[0104] In this embodiment, the logical relationships include: general-to-specific relationship, primary-to-secondary relationship, parallel relationship, progressive relationship, point-to-surface relationship, causal relationship, virtual-to-real relationship, and qualitative-to-quantitative relationship;

[0105] In this embodiment, the virtual sub-model represents a model established in the virtual space to represent the logical relationship between any two mapping points;

[0106] In this embodiment, the mapping example represents the distance between two virtual sub-models in virtual space;

[0107] In this embodiment, the logic framework diagram is a line diagram used to describe the overall logic between different mapping points.

[0108] The beneficial effects of the above technical solution are as follows: When establishing a digital twin model, the creative device data information is first mapped to obtain several mapping points in the virtual space. Then, virtual sub-models are established for different mapping points according to the logical relationship between them. Finally, the virtual sub-models are corrected, and the creative device data information is input to obtain the digital twin model.

[0109] In one embodiment, such as Figure 3 As shown, the process of acquiring creative data collected by the IoT platform and inputting it into the digital twin model includes:

[0110] Step S301: Obtain several pieces of current data collected by the IoT platform;

[0111] Step S302: Analyze each current data point to obtain the first data feature corresponding to each current data point;

[0112] Step S303: Obtain a second data feature compatible with the digital twin model;

[0113] Step S304: Compare the first data feature and the second data feature, extract the target current data whose data features are consistent with the second data feature based on the comparison result, record it as creative data, convert the creative data into a preset data format, and transmit it to the digital twin model.

[0114] In this embodiment, the current data represents all data collected in real time by the IoT platform;

[0115] In this embodiment, the first data feature represents the characteristics of the current data, including data type, data transmission speed, data volume, and data complexity.

[0116] The beneficial effects of the above technical solution are as follows: In order to improve the accuracy of real-time data, firstly, several pieces of current data collected by the Internet of Things platform are acquired, then creative data compatible with the digital twin model is extracted, which facilitates the digital twin model to identify and analyze the data. Then, the creative data is input into the digital twin model for data processing, thereby indirectly reflecting the feasibility of the creative solution.

[0117] In one embodiment, the process of analyzing whether the creative data is reasonable includes:

[0118] The creative data is input into a preset information analysis model for information analysis, and the first output information of the preset information analysis model is obtained.

[0119] The first output information is divided into several information segments and clustered to obtain several information categories;

[0120] Obtain the information attributes corresponding to each information category, and obtain the attribute weight of each information category in the output information;

[0121] The amount of information corresponding to each information category is obtained, and the content weight of each information category in the output information is obtained.

[0122] Based on the attribute weights and content weights, the information credibility of each information segment in the output information is obtained, and the creative data is corrected using the information credibility.

[0123] The revised creative data is input into the data twin model for reasonable analysis to obtain the second output information of the data twin model;

[0124] When the second output information contains a segment with a credibility lower than the preset credibility, it is determined that the actual creative data is unreasonable.

[0125] Conversely, this confirms that the creative data is reasonable.

[0126] In this embodiment, the first output information represents the information generated after running a preset information analysis model based on real-time data;

[0127] In this embodiment, the information segment represents a portion of the output information;

[0128] In this embodiment, clustering refers to the operation of grouping information segments with the same information attributes into one category;

[0129] In this embodiment, attribute weight represents the weight corresponding to the importance of an information attribute in the output information;

[0130] In this embodiment, the content weight represents the weight corresponding to the content of an information attribute in the output information;

[0131] In this embodiment, credibility represents the error between the output information and the actual information generated during the operation of the real creative device.

[0132] The beneficial effects of the above technical solution are as follows: by inputting creative data into a preset information analysis model for analysis, the first output information of the preset information analysis model is obtained. Then, the first output information is divided into several information segments, and similar information segments are grouped into an information category. Then, the attribute weight and content weight of the information category are determined according to the information attributes and information content of each information category. Then, the credibility of each information segment is obtained based on these two weights. The credibility is combined and used to correct the creative data. Then, the corrected creative data is input into a digital twin model for analysis. Finally, the rationality of the creative data can be indirectly analyzed based on the analysis results.

[0133] In one embodiment, after determining that the creative data is unreasonable, the following steps are included:

[0134] Information segments with a credibility level lower than the preset credibility level are recorded as target information segments;

[0135] Mark the first position of the target information segment in the output information;

[0136] The process of acquiring the creative data and analyzing it in the digital twin model is then used to establish a reverse analysis process for the analysis process.

[0137] The output information of the first marked position is transmitted to the reverse analysis process to obtain the second position of the target information segment in the real-time data, and the sub-creative data at the second position is obtained.

[0138] Obtain the standard data specifications at the second position, and parse the sub-creative data to obtain the sub-data specifications of the sub-creative data;

[0139] Based on the specification difference between the sub-data specification and the standard data specification, unreasonable attributes of the creative data are searched in the preset database.

[0140] In this embodiment, the first position represents the position of the target information segment in the output information;

[0141] In this embodiment, the second position represents the position of the target lower segment on the creative data;

[0142] In this embodiment, the sub-creative data represents the data corresponding to the target information segment.

[0143] The beneficial effects of the above technical solution are as follows: by analyzing the first position of the target information segment in the output information and the second position in the creative data, and then analyzing the specification difference between the standard data specification and the sub-data specification, the corresponding unreasonable attributes can be found in the preset database.

[0144] This embodiment also discloses a digital twin technology application system based on an Internet of Things (IoT) platform, such as... Figure 4 As shown, it includes:

[0145] The acquisition module 401 is used to filter initial device information in the IoT platform based on Unity conditions to obtain creative device data information;

[0146] Construction module 402 is used to construct a digital twin model based on the creative device data information;

[0147] Analysis module 403 is used to acquire creative data collected by the Internet of Things platform and input it into the digital twin model, and analyze whether the creative data is reasonable;

[0148] The determination module 404 is used to create a creative solution and put it into use when the creative data is reasonable.

[0149] The working principle and beneficial effects of the above technical solution have been explained in the method claims, and will not be repeated here.

[0150] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0151] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for applying digital twin technology based on an Internet of Things (IoT) platform, characterized in that, include: Based on Unity criteria, filter initial device information in the IoT platform to obtain creative device data information; A digital twin model is constructed based on the data information of the aforementioned creative equipment; The creative data collected by the IoT platform is acquired and input into the digital twin model, and the rationality of the creative data is analyzed. When the creative data is reasonable, a creative solution is created based on the creative data and put into use; The process of filtering initial device information from the IoT platform based on Unity criteria to obtain creative device data information includes: Parse the Unity condition to obtain its logical structure; Analyze the creative device attributes corresponding to each structural layer in the logical structure; Based on the attributes of the creative device, the data in each structural layer is converted into layer information corresponding to the attributes, and a filtering model is established based on the layer information. The initial device information in the IoT platform is obtained, and the initial device information is input into the filtering model for filtering to obtain creative device data information.

2. The method for applying digital twin technology based on an Internet of Things platform as described in claim 1, characterized in that, Also includes: When the creative data is unreasonable, obtain several unreasonable points on the creative data, and determine the violation type corresponding to each unreasonable point; By integrating several unreasonable points and their violation types, a violation list for creative data is obtained. The list of violations is transmitted to a designated terminal for display.

3. The method for applying digital twin technology based on an Internet of Things platform as described in claim 1, characterized in that, The process of constructing a digital twin model based on the data information of the aforementioned creative devices includes: The data information of the creative device is mapped to obtain several mapping points; Analyze the logical relationships between different mapping points and establish a logical framework diagram; Based on the logical relationship between different mapping points, corresponding virtual sub-models are established for each mapping point; The virtual sub-models are arranged based on the aforementioned logical framework diagram to obtain the first virtual model; Analyze the mapping distance between different virtual sub-models in the first virtual model. When the mapping distance is greater than a preset distance, correct the corresponding virtual sub-model to obtain the second virtual model. The creative device data information is input into the second virtual model and run to obtain a digital twin model.

4. The method for applying digital twin technology based on an Internet of Things platform as described in claim 1, characterized in that, The process of acquiring creative data collected by the IoT platform and inputting it into the digital twin model includes: Obtain several pieces of current data collected by the IoT platform; Each current data point is analyzed separately to obtain the first data feature corresponding to each current data point; Obtain second data features compatible with the digital twin model; Compare the first data feature and the second data feature, and extract the target current data whose data features are consistent with the second data feature based on the comparison result; record it as creative data. The creative data is converted into a preset data format and transmitted to the digital twin model.

5. The method for applying digital twin technology based on an Internet of Things platform as described in claim 1, characterized in that, The process of analyzing whether the creative data is reasonable includes: The creative data is input into a preset information analysis model for information analysis, and the first output information of the preset information analysis model is obtained. The first output information is divided into several information segments and clustered to obtain several information categories; Obtain the information attributes corresponding to each information category, and obtain the attribute weight of each information category in the first output information; The amount of information corresponding to each information category is obtained respectively, and the content weight of each information category in the first output information is obtained; Based on the attribute weights and content weights, the information credibility of each information segment in the first output information is obtained, and the creative data is corrected using the information credibility. The revised creative data is input into the digital twin model for reasonable analysis to obtain the second output information of the digital twin model; When the second output information contains a segment with a credibility level lower than the preset credibility level, the creative data is determined to be unreasonable. Conversely, this confirms that the creative data is reasonable.

6. The method for applying digital twin technology based on an Internet of Things platform as described in claim 5, characterized in that, After determining that the creative data is unreasonable, the following is included: Information segments with a credibility level lower than the preset credibility level are recorded as target information segments; Mark the first position of the target information segment in the first output information; The process of acquiring the creative data and analyzing it in the digital twin model is then used to establish a reverse analysis process for the analysis process. The first output information marked at the first position is transmitted to the reverse analysis process to obtain the second position of the target information segment in the real-time data, and the sub-creative data at the second position is obtained. Obtain the standard data specifications at the second position, and parse the sub-creative data to obtain the sub-data specifications of the sub-creative data; Based on the specification difference between the sub-data specification and the standard data specification, unreasonable attributes of the creative data are searched in the preset database.

7. A digital twin technology application system based on an Internet of Things (IoT) platform, characterized in that, The system includes: The acquisition module is used to filter initial device information in the IoT platform based on Unity criteria to obtain creative device data information; The construction module is used to build a digital twin model based on the data information of the creative device; The analysis module is used to acquire creative data collected by the IoT platform and input it into the digital twin model to analyze whether the creative data is reasonable. The determination module is used to create a creative solution and put it into use based on the creative data when the creative data is reasonable. The process of filtering initial device information from the IoT platform based on Unity criteria to obtain creative device data information includes: Parse the Unity condition to obtain its logical structure; Analyze the creative device attributes corresponding to each structural layer in the logical structure; Based on the attributes of the creative device, the data in each structural layer is converted into layer information corresponding to the attributes, and a filtering model is established based on the layer information. The initial device information in the IoT platform is obtained, and the initial device information is input into the filtering model for filtering to obtain creative device data information.

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