A dynamic data interaction platform for a national Internet of Things (IoT) identification and identity public service platform

Abstract

This invention discloses a dynamic data interaction platform for a national Internet of Things (IoT) identification and identity public service platform. The invention relates to the field of service technology and includes a data acquisition module, a composite analysis module, a raw database module, a blockchain recording module, a complementary difference module, a cost analysis module, an optimization and reduction module, and a recommendation and display module. The advantages of this invention are: through the raw database module, after collecting user identity information, it can analyze the recording method of user identity information based on the user identity information. Utilizing different recording methods allows for better classification and management of user identity information, enabling more efficient resource utilization. The complementary difference module can establish corresponding record tables based on different recording methods. These record tables can record the recording methods, misaligned recording information, and complementary recording information of user identity information, thus facilitating administrators' access to key information.

Description

Technical Field

[0001] This invention relates to the field of service technology, specifically to a dynamic data interaction platform for a national Internet of Things (IoT) identification and identity public service platform. Background Technology

[0002] Common national IoT identification and identity public service platform data dynamic interaction platforms cannot accurately determine the recording method of user identity information, resulting in a large amount of duplicate recording of user identity information, reducing resource utilization. At the same time, when user identity information is interacted and complemented, the content of the user identity information during the interaction and complementation cannot be accurately recorded, making it inconvenient for administrators to view the key information of user identity information during the complementation. To address this, we propose a national IoT identification and identity public service platform data dynamic interaction platform. Summary of the Invention

[0003] The purpose of this invention is to provide a dynamic data interaction platform for a national Internet of Things (IoT) identification and identity public service platform.

[0004] To address the problems mentioned in the background art, the present invention provides the following technical solution: a dynamic data interaction platform for a national Internet of Things identification and identity public service platform, comprising a data acquisition module, a composite analysis module, a raw database module, a blockchain recording module, a complementary difference module, a cost analysis module, an optimization and reduction module, and a recommendation and display module;

[0005] The data acquisition module is used to collect user identity information, and then use user biometric information to identify the identity information. Common biometric information refers to user fingerprint information, voice information and DNA information. It also establishes a requirement definition function to clarify the platform's goals and functions.

[0006] The composite analysis module dynamically interacts the collected user identity information with previously recorded user identity information and calculates the degree of composite between the user identity information and the previously recorded user identity information to obtain a composite value.

[0007] The original database module uses composite numerical analysis to analyze the recording method of user identity information;

[0008] The blockchain recording module establishes blockchain functionality and inserts this functionality into the original database module.

[0009] The complementary difference module obtains information on the method of recording user identity information and records the differences between the user identity information and previous user identity information during interactive complementarity.

[0010] The complementary difference module can obtain the information processed by the original database module. Then, the complementary difference module will create a record table according to the three recording methods, and then name the three record tables as the new record table, the misaligned record table and the complementary record table, respectively.

[0011] When it is necessary to rebuild the original database based on user identity information, the information characteristics of the user identity information are extracted, and then the information characteristics, the name of the original database and the location information of the original database are recorded in the newly created record table.

[0012] When the primary features of user identity information are extracted and different information is recorded in the identity folder, the primary feature information of user identity information, different information, identity folder position and user identity information recording time are recorded in the misalignment record table;

[0013] When user identity information is used to improve or modify previous user identity information in the identity folder, the information on the modification of previous user identity information, identity folder information, and the time information of the modification of previous user identity information are recorded in the complementary record table.

[0014] The cost analysis module analyzes the costs incurred when user identity information is exchanged and complemented.

[0015] The optimization and reduction module optimizes the method of complementary interaction of user identity information, thereby deriving a complementary optimization scheme;

[0016] The recommended display module showcases complementary optimization schemes and the differences in complementary schemes.

[0017] As a further aspect of the present invention: the data acquisition module can collect user identity information. Furthermore, after establishing the requirement definition function, the administrator can use this function to adjust the application areas of the Internet of Things (IoT), the scale of data interaction, and the computer performance requirements for smooth IoT operation. This allows for greater flexibility in adjusting these requirements. Simultaneously, when acquiring user identity information, a static / dynamic encoding identity resolution mechanism is used to identify and verify the user's identity. This mechanism combines the characteristics of static and dynamic encoding, changing according to the current time and event trigger information during identity verification to generate dynamic encoding. The dynamic encoding is then combined with the static encoding to form a composite encoding, which is then parsed and verified.

[0018] As a further aspect of the present invention: the blockchain recording module enables the original database module to use decentralized distributed ledger technology when recording user identity information, thereby recording the user identity information on the blockchain, thus making the recorded user identity information immutable and traceable.

[0019] As a further aspect of the present invention: the original database module is capable of receiving information processed by the composite analysis module and calculating composite values. To obtain composite numerical information and user identity information, the original database module sets boundaries for misaligned identity information records and boundaries for complementary identity information records. Let the boundary for misaligned identity information records be... Let the boundary of complementary identity information be... The method for determining user identity information based on composite numerical values ​​is as follows:

[0020] when When necessary, the original database is rebuilt, and the user's identity information is recorded in the newly built database.

[0021] when At that time, the user's identity information is recorded in the original database for calculating the composite value, and the differences between the user's identity information and previous identity information are analyzed. Then, the primary feature of the user's identity information is extracted, and an identity folder is created with the primary feature as the name. Then, the different information is recorded in the identity folder.

[0022] when At that time, the system retrieves the identity folder corresponding to the user's identity information, then examines the differences between the user's identity information and the previous identity information in the identity folder, and then uses the user's identity information to improve and modify the previous user identity information in the identity folder, thereby achieving a dynamic interactive function.

[0023] At the same time, keywords are set for the identity folder. When a keyword is found in the user's identity information, the user's identity information will be directly recorded in the identity folder corresponding to the keyword.

[0024] As a further aspect of the present invention: the cost analysis module can receive information processed by the original database module, and then obtain the method of recording user identity information and the information changes during the recording of user identity information in the original database module. At this time, the recording scheme of the user identity information recording method is analyzed based on the technical infrastructure cost, data acquisition cost, data cleaning and preprocessing cost, data transmission cost, data security cost, data integration and fusion cost, personnel training cost, detection compliance and legal cost, data storage cost and performance optimization cost, thereby calculating the cost of the user identity information recording method.

[0025] As a further aspect of the present invention: the optimization and reduction module can acquire information processed by the cost analysis module, thereby acquiring recording schemes for different methods of recording user identity information. Then, the optimization and reduction module optimizes the recording schemes of the user identity information recording methods to derive an optimized recording scheme, and calculates the cost of the optimized scheme. Based on the cost of the recording scheme and the cost of the optimized scheme, the cost difference between the two schemes is calculated. Let the cost of the optimized scheme be H, and the cost of the recording scheme be J. When... At that time, the optimization scheme information is transmitted to the original database module. At that time, the information of the optimization plan will be deleted.

[0026] As a further aspect of the present invention: the recommendation display module can receive information processed by the complementary difference module and the optimization reduction module, thereby obtaining the difference information between the optimization scheme information and the user identity information during the interaction of complementary information. At this time, the recommendation display module will display the obtained difference information between the optimization scheme information and the user identity information during the interaction of complementary information, so that the administrator can better view the changes in the user's identity information.

[0027] Compared with the prior art, the beneficial effects of the present invention by adopting the above technical solution are as follows:

[0028] 1. This invention, through the setting of the original database module, can analyze the recording method of user identity information after collecting user identity information, and can better classify and manage user identity information by using different recording methods. At the same time, it can avoid recording duplicate information in user identity information, so that resources can be used more effectively. The complementary difference module can establish corresponding record tables according to different recording methods. The record tables can record the recording method, misaligned record information and complementary record information of user identity information, thereby facilitating the administrator to view key information.

[0029] 2. This invention enables the platform to have personalized customization functions through the data acquisition module, which can meet the needs of different administrators. Through the composite analysis module, it can more accurately calculate the degree of composite between user identity information and previous user identity information, thereby achieving more accurate information matching. Through the blockchain recording module, the platform can use blockchain technology when recording user identity information, thereby making the recorded user identity information immutable and traceable, and improving the confidentiality of user information.

[0030] 3. This invention, through its cost analysis module, enables better cost control when recording user identity information and provides a more detailed understanding of the cost components, allowing for more rational resource allocation. The optimization and reduction module optimizes the recording scheme for user identity information, thereby improving resource utilization efficiency and economic benefits. It also enhances the platform's flexibility in scheme selection. Furthermore, the complementary difference module and recommendation display module enable administrators to obtain key information more intuitively and quickly, reducing data analysis time and improving information management efficiency. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the system flow in an embodiment of the present invention. Specific implementation methods

[0032] The specific implementation methods of the present invention will be further described below with reference to the accompanying drawings. It should be noted that the description of these implementation methods is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0033] Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0034] Please see the appendix Figure 1 The present invention provides a data dynamic interaction platform for a national Internet of Things identification and identity public service platform, comprising a data acquisition module, a composite analysis module, a raw database module, a blockchain recording module, a complementary difference module, a cost analysis module, an optimization and reduction module, and a recommendation and display module;

[0035] The data acquisition module is used to collect user identity information, and then use user biometric information to identify the identity information. Common biometric information refers to user fingerprint information, voice information and DNA information. It also establishes a requirement definition function to clarify the platform's goals and functions.

[0036] The composite analysis module dynamically interacts the collected user identity information with previously recorded user identity information and calculates the degree of composite between the user identity information and the previously recorded user identity information to obtain a composite value.

[0037] The original database module uses composite numerical analysis to analyze the recording method of user identity information;

[0038] The blockchain recording module establishes blockchain functionality and inserts this functionality into the original database module.

[0039] The complementary difference module obtains information on the method of recording user identity information and records the differences between the user identity information and previous user identity information during interactive complementarity.

[0040] The complementary difference module can obtain the information processed by the original database module. Then, the complementary difference module will create a record table according to the three recording methods, and then name the three record tables as the new record table, the misaligned record table and the complementary record table respectively.

[0041] When it is necessary to rebuild the original database based on user identity information, the information characteristics of the user identity information are extracted, and then the information characteristics, the name of the original database and the location information of the original database are recorded in the newly created record table.

[0042] When the primary features of user identity information are extracted and different information is recorded in the identity folder, the primary feature information of user identity information, different information, identity folder position and user identity information recording time are recorded in the misalignment record table;

[0043] When user identity information is used to improve or modify previous user identity information in the identity folder, the information on the modification of previous user identity information, identity folder information, and the time information of the modification of previous user identity information are recorded in the complementary record table.

[0044] The cost analysis module analyzes the costs incurred when user identity information is exchanged and complemented.

[0045] The optimization and reduction module optimizes the method of complementary interaction of user identity information, thereby deriving a complementary optimization scheme;

[0046] The recommended display module showcases complementary optimization schemes and the differences in complementary schemes.

[0047] In one embodiment of the present invention: the data acquisition module can collect user identity information. Simultaneously, after establishing a requirement-setting function, the administrator can use this function to adjust the application areas of the Internet of Things (IoT), the scale of data interaction, and the computer performance requirements for smooth IoT operation. This allows for greater flexibility in adjusting these requirements. Furthermore, when acquiring user identity information, a static / dynamic encoding identity resolution mechanism is used to identify and verify the user's identity. This mechanism combines the characteristics of static and dynamic encoding, changing according to the current time and event trigger information during identity verification to generate dynamic encoding. The dynamic encoding is then combined with the static encoding to form a composite encoding, which is then parsed and verified.

[0048] In one embodiment of the present invention: the blockchain recording module enables the original database module to use decentralized distributed ledger technology when recording user identity information, thereby recording the user identity information on the blockchain, thus making the recorded user identity information immutable and traceable.

[0049] In one embodiment of the present invention: the original database module is able to receive information processed by the composite analysis module and calculate composite values. To obtain composite numerical information and user identity information, the original database module sets boundaries for misaligned identity information records and boundaries for complementary identity information records. Let the boundary for misaligned identity information records be... Let the boundary of complementary identity information be... The method for determining user identity information based on composite numerical values ​​is as follows:

[0050] when When necessary, the original database is rebuilt, and the user's identity information is recorded in the newly built database.

[0051] when At that time, the user's identity information is recorded in the original database for calculating the composite value, and the differences between the user's identity information and previous identity information are analyzed. Then, the primary feature of the user's identity information is extracted, and an identity folder is created with the primary feature as the name. Then, the different information is recorded in the identity folder.

[0052] when At that time, the system retrieves the identity folder corresponding to the user's identity information, then examines the differences between the user's identity information and the previous identity information in the identity folder, and then uses the user's identity information to improve and modify the previous user identity information in the identity folder, thereby achieving a dynamic interactive function.

[0053] At the same time, keywords are set for the identity folder. When a keyword is found in the user's identity information, the user's identity information will be directly recorded in the identity folder corresponding to the keyword.

[0054] In one embodiment of the present invention: the cost analysis module can receive information processed by the original database module, and then obtain the method of recording user identity information and the information changes during the recording of user identity information in the original database module. Then, based on the technical infrastructure cost, data acquisition cost, data cleaning and preprocessing cost, data transmission cost, data security cost, data integration and fusion cost, personnel training cost, detection compliance and legal cost, data storage cost and performance optimization cost, the recording scheme of the user identity information recording method is analyzed, thereby calculating the cost of the user identity information recording method.

[0055] In one embodiment of the present invention: the optimization and reduction module can acquire information processed by the cost analysis module, thereby acquiring recording schemes for different methods of recording user identity information. Then, the optimization and reduction module optimizes the recording schemes of the user identity information recording methods to obtain an optimized recording scheme, and calculates the cost of the optimized scheme. Based on the cost of the recording scheme and the cost of the optimized scheme, the cost difference between the two schemes is calculated. Let the cost of the optimized scheme be H, and the cost of the recording scheme be J. When... At that time, the optimization scheme information is transmitted to the original database module. At that time, the information of the optimization plan will be deleted.

[0056] In one embodiment of the present invention: the recommendation display module can receive information processed by the complementary difference module and the optimization reduction module, thereby obtaining the difference information between the optimization scheme information and the user identity information when they interact complementaryly. At this time, the recommendation display module will display the obtained difference information between the optimization scheme information and the user identity information when they interact complementaryly, so that the administrator can better view the changes in the user's identity information.

[0057] Example 1, please refer to the appendix. Figure 1 When encrypting user identity information, asymmetric encryption technology can also be used to sign and encrypt the information. In this case, only the signer with the corresponding private key can generate a valid signature. Verifying the signature can confirm the source and integrity of the information, and the signed information is difficult to tamper with.

[0058] Example 2, please refer to the appendix. Figure 1 When recording user identity information, the user identity information can be classified and recorded according to the set classification conditions to form a category folder. After recording in the category folder, the commonalities of user identity information in the category folder can be extracted and recorded in the category folder. This makes information retrieval more efficient. Then, the category folder is compressed to reduce the space occupied by the user identity information records in the category folder.

[0059] Example 3, please refer to the appendix. Figure 1 When optimizing the method of recording user identity information, optimization indicators can be formulated to facilitate performance comparison between the optimization scheme and the recording scheme. When formulating optimization indicators, the speed at which the computer records user identity information, the computer performance required to record user information, and the cost of the computer recording user identity information can be used as optimization indicators.

[0060] Specifically, through the settings of the original database module, after collecting user identity information, it is possible to analyze the recording method of user identity information based on the user identity information, and to better classify and manage user identity information by using different recording methods. At the same time, it can avoid recording duplicate information in user identity information, so that resources can be used more effectively. The complementary difference module can create corresponding record tables based on different recording methods. The record tables can record the recording methods, misaligned record information and complementary record information of user identity information, thereby making it convenient for administrators to view key information.

[0061] Specifically, the data acquisition module enables the platform to have personalized customization capabilities, meeting the needs of different administrators. The composite analysis module can more accurately calculate the degree of overlap between user identity information and previous user identity information, thereby achieving more accurate information matching. The blockchain recording module enables the platform to use blockchain technology when recording user identity information, thus making the recorded user identity information immutable and traceable, improving the confidentiality of user information.

[0062] Specifically, the cost analysis module enables better cost control when recording user identity information, provides a more detailed understanding of the cost components, and allows for more rational resource allocation. The optimization and reduction module optimizes the recording scheme for user identity information, thereby improving resource utilization efficiency and economic benefits. It also enhances the platform's flexibility in scheme selection. The complementary difference module and recommendation display module enable administrators to obtain key information more intuitively and quickly, reducing the time required for data analysis and improving information management efficiency.

[0063] Working principle:

[0064] First, when a user logs into the platform, their identity information needs to be verified. This process allows the platform to acquire the user's identity information. Administrators can then define the platform's goals and functions. The platform dynamically interacts with the collected user identity information and the closest previously recorded user identity information. It calculates a composite value between the collected and the closest previously recorded user identity information, determines the recording method based on this composite value, and records the user's identity information according to the platform's determination. Blockchain technology is simultaneously inserted during the recording process to ensure the immutability of the recorded user identity information. A record table is created based on the recording method, recording information such as recording methods, misaligned records, and complementary records. The platform also calculates the cost and information of each recording scheme, allowing for optimization of the recording scheme. The cost of the optimized scheme is then calculated, and the cost difference between the optimized and the original recording scheme is compared. The calculated cost difference is used to analyze the processing method of the optimized scheme, and the differences in the complementary user identity information and cost difference are displayed. This completes the entire workflow.

[0065] The collection of identity information during the application process complies with local laws and regulations and requires the user's permission to protect the user's privacy.

[0066] Furthermore, this application uses specific terms to describe its implementation methods. For example, "an implementation method," "one implementation method," and / or "some implementation methods" refer to a particular feature, structure, or characteristic associated with at least one implementation method of this application. Therefore, it should be emphasized and noted that "an implementation method," "one implementation method," or "an alternative implementation method" mentioned twice or more in different locations in this specification do not necessarily refer to the same implementation method. In addition, certain features, structures, or characteristics in one or more implementation methods of this application can be appropriately combined.

[0067] Some aspects of this application can be executed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The aforementioned hardware or software may be referred to as a "data block," "module," "engine," "unit," "component," or "system." The processor may be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. Furthermore, aspects of this application may manifest as computer products residing in one or more computer-readable media, including computer-readable program code. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, magnetic tapes, etc.), optical discs (e.g., compressed CDs, digital multifunction DVDs, etc.), smart cards, and flash memory devices (e.g., cards, sticks, key drives, etc.).

[0068] A computer-readable medium may contain a propagated data signal containing computer program code, for example, on baseband or as part of a carrier wave. This propagated signal may take various forms, including electromagnetic, optical, and so on, or suitable combinations thereof. A computer-readable medium can be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, apparatus, or device to enable communication, propagation, or transmission of a program for use. The program code located on the computer-readable medium can be propagated through any suitable medium, including radio, cable, fiber optic cable, radio frequency signals, or similar media, or any combination of the above media.

[0069] Similarly, it should be noted that, in order to simplify the description of this application and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of the embodiments of this application sometimes combines multiple features into a single embodiment, drawing, or description thereof. However, this disclosure method does not imply that the object of this application requires more features than those mentioned in the claims. In fact, the number of features in an embodiment is less than all the features of a single embodiment disclosed above. Some embodiments use numbers describing the quantity of components or attributes. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the number is allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change depending on the characteristics required by the individual embodiment. In some embodiments, the numerical parameters should take into account the prescribed significant digits and adopt a general method of digit reservation. Although the numerical ranges and parameters used to confirm the breadth of the range in some embodiments of this application are approximate values, in specific embodiments, such values ​​are set as precisely as feasible.

[0070] While the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the invention. Any modifications and variations can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention, without departing from the scope of the invention, fall within the protection scope defined by the claims of the present invention.

Claims

1. A dynamic data interaction platform for a national Internet of Things (IoT) identification and identity public service platform, characterized in that: It includes a data acquisition module, a composite analysis module, a source database module, a blockchain recording module, a complementary difference module, a cost analysis module, an optimization and reduction module, and a recommendation and display module; The data acquisition module is used to collect user identity information, and then use user biometric information to identify the identity information. Common biometric information refers to user fingerprint information, voice information and DNA information. It also establishes a requirement definition function to clarify the platform's goals and functions. The composite analysis module dynamically interacts the collected user identity information with previously recorded user identity information and calculates the degree of composite between the user identity information and the previously recorded user identity information to obtain a composite value. The original database module uses composite numerical analysis to analyze the recording method of user identity information; The original database module can receive information processed by the composite analysis module and calculate composite values. To obtain composite numerical information and user identity information, the original database module sets boundaries for misaligned identity information records and boundaries for complementary identity information records. Let the boundary for misaligned identity information records be... Let the boundary of complementary identity information be... The method for determining user identity information based on composite numerical values ​​is as follows: when When necessary, the original database is rebuilt, and the user's identity information is recorded in the newly built database. when At that time, the user's identity information is recorded in the original database for calculating the composite value, and the differences between the user's identity information and previous identity information are analyzed. Then, the primary feature of the user's identity information is extracted, and an identity folder is created with the primary feature as the name. Then, the different information is recorded in the identity folder. when At that time, the system retrieves the identity folder corresponding to the user's identity information, then examines the differences between the user's identity information and the previous identity information in the identity folder, and then uses the user's identity information to improve and modify the previous user identity information in the identity folder, thereby achieving a dynamic interactive function. At the same time, keywords are set for the identity folder. When a keyword is found in the user's identity information, the user's identity information will be directly recorded in the identity folder corresponding to the keyword. The blockchain recording module establishes blockchain functionality and inserts this functionality into the original database module. The complementary difference module obtains information on the method of recording user identity information and records the differences between the user identity information and previous user identity information during interactive complementarity. The complementary difference module can obtain the information processed by the original database module. Then, the complementary difference module will create a record table according to the three recording methods, and then name the three record tables as the new record table, the misaligned record table and the complementary record table respectively. When it is necessary to rebuild the original database based on user identity information, the information characteristics of the user identity information are extracted, and then the information characteristics, the name of the original database and the location information of the original database are recorded in the newly created record table. When the primary features of user identity information are extracted and different information is recorded in the identity folder, the primary feature information of user identity information, different information, identity folder position and user identity information recording time are recorded in the misalignment record table; When user identity information is used to improve or modify previous user identity information in the identity folder, the information on the modification of previous user identity information, identity folder information, and the time information of the modification of previous user identity information are recorded in the complementary record table. The cost analysis module analyzes the costs incurred when users exchange and complement each other's identity information. The optimization and reduction module optimizes the method of complementary interaction of user identity information, thereby deriving a complementary optimization scheme; The recommended display module showcases complementary optimization schemes and the differences in complementary schemes.

2. The data dynamic interaction platform of the national Internet of Things identification and identity public service platform according to claim 1, characterized in that: The data acquisition module can collect user identity information. After establishing the requirement definition function, the administrator can use the requirement definition function to adjust the application areas of the Internet of Things (IoT), the scale of data interaction, and the computer performance requirements for smooth operation of the IoT. This makes it more flexible to adjust the application areas of the IoT, the scale of data interaction, and the computer performance requirements for smooth operation of the IoT. At the same time, when obtaining user identity information, a static and dynamic encoding identity resolution mechanism is required to identify and verify the user's identity information. The static and dynamic encoding identity resolution mechanism can combine the characteristics of static encoding and dynamic encoding. During identity verification, it will change according to the current time and event trigger information to generate dynamic encoding. Then, the dynamic encoding and static encoding are combined to form a composite encoding, and then the composite encoding is parsed and verified.

3. The data dynamic interaction platform of the national Internet of Things identification and identity public service platform according to claim 1, characterized in that: The blockchain recording module enables the original database module to use decentralized distributed ledger technology when recording user identity information, thereby recording user identity information on the blockchain, making the recorded user identity information immutable and traceable.

4. The data dynamic interaction platform of the national Internet of Things identification and identity public service platform according to claim 1, characterized in that: The cost analysis module can receive information processed by the original database module. At this point, it can obtain the method of recording user identity information in the original database module and the information changes during the recording of user identity information. Then, based on the technical infrastructure cost, data acquisition cost, data cleaning and preprocessing cost, data transmission cost, data security cost, data integration and fusion cost, personnel training cost, detection compliance and legal cost, data storage cost, and performance optimization cost, it analyzes the recording scheme of user identity information recording method and calculates the cost of recording user identity information.

5. The data dynamic interaction platform of the national Internet of Things identification and identity public service platform according to claim 4, characterized in that: The optimization and cost reduction module can acquire information processed by the cost analysis module, thereby obtaining recording schemes for different methods of recording user identity information. The optimization and cost reduction module then optimizes these recording schemes to derive an optimized recording scheme and calculates the cost of the optimized scheme. Based on the cost of the recording scheme and the cost of the optimized scheme, the cost difference between the two schemes is calculated. Let the cost of the optimized scheme be H, and the cost of the recording scheme be J. When... At that time, the optimization scheme information is transmitted to the original database module. At that time, the information of the optimization plan will be deleted.

6. The data dynamic interaction platform of the national Internet of Things identification and identity public service platform according to claim 1, characterized in that: The recommendation display module can receive information processed by the complementary difference module and the optimization reduction module, thereby obtaining the difference information between the optimization scheme information and the user identity information during the complementary interaction. At this time, the recommendation display module will display the obtained difference information between the optimization scheme information and the user identity information during the complementary interaction, so that the administrator can better view the changes in the user's identity information.

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