Method for constructing digital twinning through block chain system

Abstract

The invention discloses a method for constructing digital twinning through a block chain system, and belongs to the technical field of computer programs. After data in a data lake is subjected to classification, redundancy, identification and right confirmation, ownership certification is carried out, data (group) subjected to right confirmation certification is subjected to data table entering, the data (group) subjected to table entering provides standby resources for a system user, and after the user obtains access qualification through an allowed access permission or purchase permission mode, the user can access the system according to the permission of the user. The data is used in a classified data synthesis mode, the result generated in the use process can be distributed and used by the user in an invisible mode, and the value generated by the data is subjected to reverse certification by the user with the clear right through the block chain certificate in a digital asset mode, so that the digital assets generated by the system are ensured to safely reach the user account.

Description

Technical Field

[0001] The present invention belongs to the field of computer program technology and relates to a method for constructing digital twins through a blockchain system. Background Art

[0002] Agricultural data collection faces numerous barriers, including data redundancy, unclear technical architecture, and a shortage of scientific and technological talent, severely hindering the digitization of agriculture. Existing agricultural big data models primarily focus on data collection and storage, without any redundancy or cleansing. Data ownership remains a challenge, both legally and technically. Summary of the Invention

[0003] In response to the existing technical problems, the present invention provides a method for constructing digital twins through a blockchain system.

[0004] A method for building a digital twin through a blockchain system includes the following steps: after the data in the data lake is classified, redundant, identified, and confirmed, ownership is proved, and the data (groups) with confirmed ownership are entered into a table. The data (groups) after entry into the table provide backup resources for system users. When users obtain access qualifications through permitted access rights or purchased rights, they can use the data by synthesizing classified data according to their own permissions. The results generated during use will be distributed and used by users in a usable but invisible manner. The value generated by the data is reversely proved by the users who have confirmed ownership through blockchain in the form of digital assets, ensuring that the digital assets generated by the system safely reach the user's account.

[0005] The advantages of this invention are: users can truly trace the operation process, data source, data ownership, and other aspects of the content, avoid redundancy, strengthen system correlation, powerful interface, a higher proportion of intelligent calculation (75%+), higher credibility, and real-time asset conversion. The financial attributes of "Youxin Wealth" are used to protect the rights and interests of digital assets.

[0006] The digital twin content built through this system not only provides new scenarios and advanced algorithms for user experience, but also guarantees the follow-up of technology in the agricultural sector involving data assets. It has achieved a breakthrough from 0 to 1 in terms of user data asset acquisition.

[0007] System advantages: simple operation, intelligent control, can achieve transformation, improve digitalization process and reduce enterprise costs.

[0008] Throughout the system's operation, every step is recorded and verified to ensure data security. This data includes sceneries, flora and fauna, climate, water quality, and other contextual content. Through the digital twin system, users are presented with a virtual reality experience, allowing them to sit in front of the device and learn and simulate specific scenarios.

[0009] Through core computing methods, data authenticity can be proven for access parties, preventing tampering. Blockchain technology and IA algorithms can be used to record the process, and distributed data storage technology can be used to prevent node data from being tampered with, providing financial-grade security for service recipients.

[0010] In the blockchain encryption algorithm, an independently developed process and encryption algorithm are used, which is different from the working principle of ordinary systems, to ensure the system's ability to process large data and security. The core algorithm of the agricultural blockchain system can not only ensure user data security and operation traceability. At the same time, it can provide individual users and corporate users with nearly complete data asset services and digital asset management. Users can increase their own income and obtain proof in the process of using the system. At the third-party service port, "non-localized" proof chain storage can be provided to third parties to prevent service data from being tampered with or maliciously attacked. When the user's local data is tampered with, when other users read the data, the system will give a verification application. When the return value is a prompt, the system will give an error prompt to prompt the user that the original content of the data has been illegally tampered with. The technical process is: users register and use their real names (individuals or enterprises), apply for the opening of agricultural blockchain services for free, and the system automatically generates their exclusive public and private key content ( Figure 3 A hash value provides cryptographic proof of user data uploads and operations, proving that the content is stored on the system's servers and not on the user's website or local computer. When data forming blockchain content is called or queried, the system automatically verifies the integrity of the original data in the cloud. If the system determines it has not been modified, it proceeds normally to the next processing pool. If an exception is returned, a prompt is displayed. If content involves user points, mall transaction reconciliation, or digital assets, the system issues a warning and automatically terminates the user's operation. This concludes the system's blockchain operating principles.

[0011] In terms of system scalability, the system architecture adopts a hyper-realistic architecture. The system provides access to various model data. During the access process, the system automatically verifies and traces the source of user-provided materials using blockchain proof. This not only protects user copyright but also provides traceability for data assets, safeguarding user rights across multiple dimensions and scenarios. In an open-source model based on high-value material supply sources such as the Academy of Agricultural Sciences and the Agricultural College, a unified, higher-security interface can be provided to government departments to ensure the independence and security of group data assets. A convenient interface is provided for group users to batch upload and manage data. User-uploaded material models are manually reviewed by system auditors. In principle, manual manipulation of data assets and digital asset content is not possible, effectively reducing the probability of human error.

[0012] In terms of system security, the entire module forms an independent system. Operation records and login information at each stage are recorded in detail. Financial operations automatically invoke blockchain verification mechanisms to prevent malicious data tampering by internal developers. Regarding the development process, a block-by-block R&D mechanism is adopted, with dedicated personnel responsible for core technologies. This mechanism and logic are also applied to the system.

[0013] like Figure 5 As shown, the convenience of user login is improved. The system provides a cross-platform login mechanism for WEB3.0 users. When a user logs in or out of a single site in the entire system, multiple sites in the entire system will synchronize user information and record it in the system log, providing convenience for users while improving the security of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. As shown in the figure:

[0015] Figure 1 It is a data collection flow chart of the present invention.

[0016] Figure 2 It is a flow chart of the program of the present invention.

[0017] Figure 3 This is a flowchart of the core technology calculation program of the present invention.

[0018] Figure 4 This is a flow chart of the steps for evaluating data assets and digital assets of the present invention.

[0019] Figure 5 This is a flowchart of an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0021] Example 1: Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 and Figure 5 As shown, a method for building a digital twin through a blockchain system includes the following steps: after data classification, data redundancy, identification, and ownership confirmation, the data in the data lake is proved to be owned; the data (group) with ownership confirmation is entered into a table and stored in the database; the data (group) after entering the table provides backup resources for system users; when the user obtains access qualifications through permitted access rights or purchased rights, the user can access the database according to his or her own rights and use the data by synthesizing classified data; the results generated during the use process will be distributed and used by the user in a usable but invisible way; the value generated by the data is reversely proved by the user who proves the ownership through the blockchain in the form of digital assets, ensuring that the digital assets generated by the system safely reach the user account.

[0022] A method for building a digital twin through a blockchain system also includes the following steps: ensuring the authenticity and timeliness of data through multi-dimensional data collection.

[0023] The data that passes the hierarchical review will be handed over to the database auxiliary system, which will classify all data into two categories: valid data and redundant data, and store them in the database. At this time, the storage has obtained the data proof information of the distributed blockchain system and the distributed database verification system that is tamper-proof.

[0024] When users access the database, they can only access and operate on data groups that are truly available and proven by the blockchain. After obtaining user data and user permissions, the system will use the blockchain proof system to verify whether the user-side verification data and the proof data on the blockchain chain are consistent. If they are consistent, they can access the system and perform operations.

[0025] The entire work process will be recorded on the blockchain.

[0026] Prevent malicious tampering or network attacks from causing loss to system data, protect system security and user data; through the content generated by users' proof of the availability of system data, the system will conduct digital asset evaluation on high-value content.

[0027] After verifying that the user's operation is legal and compliant, and confirming the ownership, ownership and usage rights of the data, it automatically determines whether digital assets are generated based on the current user's operation. If so, the digital assets are automatically generated and the generated values ​​are submitted to the system for reverse audit. After the review is passed, the current user records the detailed records of the digital assets received, and automatically appends the detailed records of the digital assets generated to the blockchain system. The calculation results are recorded through encryption algorithms, and no system information or user information will be leaked.

[0028] Encryption algorithm: There are multiple encryption algorithms in this system to ensure the security level when quantum computing is cracked.

[0029] The publicly cited algorithms include Figure 3 The comprehensive encryption method of SHA256 and MD5 is listed below. The encryption formula is as follows:

[0030] User encryption algorithm - User: SHA256 (N ID & blockchain private key & MD5 user real-name information). Enterprise encryption algorithm - Enterprise: SHA256 (Enterprise private key & N ID & MD5 (Enterprise unified code & operation code)).

[0031] Interactive fingerprint algorithm - General: SHA256 (initiator's encryption algorithm & initiator's public key & MD5 (receiver's encryption algorithm) & receiver's public key & verification code).

[0032] The & symbol is a symbol in a calculation formula in a computer programming language. Its function is to link the subsequent variable contents. For example, if variables A and B are combined into variable C, the regular expression is C=A&B.

[0033] N id: automatic numbering by the database.

[0034] Public key: encryption algorithm result.

[0035] Private key: The result of the encryption algorithm.

[0036] SHA256, MD5: These are existing third-party public algorithm files.

[0037] Verification code: The encrypted result generated by the system when a user initiates a blockchain verification request.

[0038] At this point, the entire system completes a workflow.

[0039] Example 2: Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 and Figure 5 As shown, a method for building a digital twin through a blockchain system also includes the following steps: data collection step, compilation step, storage step, labeling step, IA calculation step, asset evaluation step, verification algorithm step, IA calculation step, asset evaluation step, verification algorithm step, blockchain certification step, distribution verification step, security step and digital asset generation and confirmation step.

[0040] Data collection steps:

[0041] Data is collected through input from individual users, corporate users, existing institutional data, automatic collection of online public data, satellite remote sensing, sensors, and other channels. The source of individual and corporate user data is verified through blockchain authentication and traced through a traceability system to ensure ownership, usage, and storage rights.

[0042] The compilation step also includes the following steps: the data collection deployment database, including pictures, videos, data, personal information, corporate information content, is compiled according to the system classification,

[0043] Storage steps:

[0044] The compiled and redundant data is digitally stored to ensure that the content is stored securely, standardized and has smooth access.

[0045] Labeling steps:

[0046] Labeling compiled data facilitates system logic operations and data governance. The system utilizes an autonomous labeling system to dynamically label data. Data is labeled based on its attributes and location, such as agricultural product seeds, flower seeds, weather data, user data, and image data. Furthermore, data groups are identified using labeling mechanisms, such as date tags, private tags, and behavioral tags.

[0047] IA is the abbreviation of Intelligent Assistant.

[0048] Asset valuation steps:

[0049] Asset evaluation in this system is divided into two parts: one is the evaluation of data assets, and the other is the evaluation of digital assets.

[0050] like Figure 4The figure below describes the steps for evaluating data assets and digital assets. Users (C-end users, G-end users, and B-end users) log in to the system and submit operation requests to the system, entering the data warehouse. The system cleans the user data and then passes the cleaned valuable data to the IA system, agricultural blockchain, and application pool for processing and processing to obtain data assets and digital assets.

[0051] The specific processing steps are as follows:

[0052] Step 1: User data includes database data sets, videos, pictures, audio, and other digital data. When users generate valuable data or perform valuable operations, the system automatically stores and records the redundant valuable information.

[0053] Step 2: The blockchain system, referring to the agricultural blockchain system, provides a verification encryption algorithm for data and user operations (this algorithm is consistent with the encryption fingerprint algorithm). It also returns the correct return value to the application pool, which intelligently processes it according to system requirements. Verification errors will be rolled back to ensure system integrity and immutability.

[0054] Step 3. Application pool: refers to the storage of various application files and program files in the system.

[0055] The verification algorithm steps include data input steps and verification function writing steps.

[0056] Data input steps: clarify the input data type and automatic screening model, and store the qualified data into the database;

[0057] Steps for writing a verification function: perform data classification operations based on different data classifications to ensure accurate data processing, and store the data in the database after labeling.

[0058] IA calculation steps: The assistant model algorithm is used to re-verify and clean up data for redundancy, ensuring that data and historical data are classified and cleaned, and that users can accurately select accurate data when retrieving data in the model;

[0059] Steps for building and using the model: write a beta version, verify the operation of each step, analyze the results and optimize the model;

[0060] Output result step: Based on the return value of the model, input the verification result to determine whether the solution is correct;

[0061] Blockchain proof step: Encrypt the correct content of the returned result.

[0062] Distribution verification steps:

[0063] Blockchain encryption algorithm is used for distribution and core verification model construction.

[0064] There are several steps in data reading and distribution verification:

[0065] The cleaned data is stored in various tables in the database. When a user issues a certain type of data read request, the distribution system is triggered.

[0066] The program verifies user permissions and data authorization. Once the calculation is passed, the server responds to the user's operation request and distributes the data. If the data distribution involves sensitive information, it will also receive double confirmation from blockchain verification.

[0067] After receiving the data, the user end can use the data in compliance with regulations and generate new data;

[0068] When the user save operation is triggered, the system will perform complex operations to verify and save. The main verification steps include user login status, user operation permissions, blockchain verification data formality and storage compliance. Only when all verifications are passed will the system write the user's operation into the database and perform blockchain on-chain certification (the blockchain interface will be triggered only if digital asset content is involved).

[0069] Safety steps:

[0070] In terms of system security, we use virtual servers + professional server security software to protect the server; in terms of user data security, when users operate on a large amount of data, personal sensitive information and commercial data will be securely processed in an operational and invisible manner to ensure the security of data and sensitive information.

[0071] Steps for generating and confirming digital assets:

[0072] Digital assets are generated through user interaction with the system. When valuable operations are performed or valuable data is provided to the system, the system generates digital assets, which are then distributed to the user's account. User asset ownership is primarily verified through legality, compliance, and authorization.

[0073] Example 3: A method for constructing a digital twin through a blockchain system further comprising the following steps:

[0074] like Figure 1 As shown, with the goal of data collection and data cleaning, data input by individual users, corporate users, existing input and export of various channels and institutions, automatic collection of public data on the Internet, and data collected or collected by technical means such as sensors and satellite remote sensing are entered into the system data portal.

[0075] The system data entry provides a unified data type judgment standard to ensure that the information collected by the system meets the system requirements.

[0076] The data collected by the data entry program is classified and stored in a data classification database for future use. The classified storage of complex data can be prone to inaccuracies, expiration, and changes. To improve system data availability, the system uses data redundancy to filter out the criteria that meet user requirements and perform secondary data cleansing.

[0077] After cleaning, the data is entered into the table according to actual needs. At this time, the data entered into the table is only stored for the needs of the current operating user and the system requirements.

[0078] like Figure 2 As shown, through user requests and the use of existing database data, functions such as permission confirmation, data request, data cleaning, data authentication, data secondary redundancy, and precise logical operations on core data are performed.

[0079] Through careful and detailed logical operations, the system provides guarantees for serving user scenarios, ensuring that user demand data matches the real scenario and ensuring the accuracy when calling corresponding information.

[0080] When the system generates a scene data, the system will perform blockchain proof and reverse verification to provide the system and users with an unalterable data set.

[0081] The IA system retrieves basic data from database tables and resource libraries to serve user requests. When the logic operation library receives a user instruction, it responds and returns the value to the IA system (note that all returns in this phase are returned to the IA assistant system, not the user end, to ensure data and operational security). The IA system then retrieves the data as needed. The functions of the different call stages are described below:

[0082] Logical operation library: database and data operation matrix, which provides the system with processes for user permission verification, data reading permission verification, operation log recording, and data cleaning and return results.

[0083] Database auxiliary system: When the logic operation library has missing or redundant information, the auxiliary system automatically searches for data from other modules in the system to see if it can replace the request. The search logic includes querying data, availability, authentication, approval, request, collection, and returning the correct value.

[0084] Hierarchical review system: When a user requests access to data or the system automatically retrieves (queries) data, the system automatically performs authentication. Only approved requests are executed. Otherwise, an operation log is recorded in the system log for system security review. The system authentication process includes receiving the operation instruction, determining the source (system or user), accessing the system logic operation module, determining the instruction authority, and returning an actionable value if it meets the requirements.

[0085] Secondary redundancy: In actual use, data may be subject to many problems such as expiration, invalidation, and authority transfer. To ensure the accuracy of data verification information and protect the rights and interests of data initiators, the system will perform secondary redundancy processing in actual operations and modify redundant information in a timely manner.

[0086] The specific operation process is to read data, query source data, determine whether there is a change (if there is no change, call it directly and the program ends), if there is a change, modify the new data and save it on the blockchain and issue a system notification to inform related parties of the information change.

[0087] Redundant storage: Redundant storage is performed on new data that the system determines cannot be used temporarily or does not need to be used. This is done to reduce the system load of secondary data collection when the system is improved.

[0088] Real and available: Real and available data will be used by the system and users.

[0089] After the system undergoes the aforementioned tedious verification, redundancy, and intelligent computation, it verifies the available data on the blockchain, records system operation logs, and returns the available data to the system interface (user interface) to provide services to users. These services are synchronized to the "Nongyu Exploration Application Platform" to provide reliable and authentic data services for system simulation scenarios, fulfilling user operational needs.

[0090] like Figure 3 The following is a diagram of the system blockchain workflow, which covers the outer encryption workflow. This process is activated when the initial data request from the user is generated.

[0091] After the initial data is verified and read, it enters the warehousing process. The user data process processed here is integrity verification, data flow verification, information comparison and returning the correct value.

[0092] All data completed will be entered into the IA system according to the rules, and the IA workflow will be started (see Figure 2 After the system processes the data, it generates two sets of data, one of which is normal data and enters the blockchain system.

[0093] The second is to recompile the data set, which is then verified on the blockchain and stored in the database classification table. The purpose of the database classification table is to improve system performance and reduce the time it takes to query, read and write the system again.

[0094] Example 4: Figure 1 、 Figure 2 、 Figure 3 and Figure 4 As shown in FIG, a method for constructing a digital twin through a blockchain system further includes the following steps:

[0095] After data is classified, redundant, identified, and confirmed, ownership is proven. The data (group) with confirmed ownership is entered into a table. The data (group) entered into the table provides backup resources for system users. When users obtain access qualifications through permitted access rights or purchased rights, they can use the data in a classified data synthesis manner according to their own permissions. The results generated during use will be distributed and used by users in a usable but invisible manner. The value generated by the data is reversely proven in the form of digital assets through blockchain to prove the ownership of the user, ensuring that the digital assets generated by the system safely reach the user's account.

[0096] The construction of a massive agricultural database provides a foundational guarantee for the entire system's data architecture. For storage security, cloud servers and multi-point backup are used to safeguard raw data. Furthermore, a strict access control mechanism ensures that data operations require legitimate ownership, preventing common hacking methods such as data interception and DDOS attacks from tampering with data. Blockchain encryption algorithms are used to verify system operations, ensuring the security of operational processes and data ownership.

[0097] The system adopts cross-platform verification function to facilitate users to conduct various operations such as browsing, operation, and signing of data clusters.

[0098] The verification and operation process of the entire system are completed on the server side or in the program pool.

[0099] The system stores videos, audios, pictures and data in categories. Figure 3 The logic returns a hash value corresponding to the data of the current operation, which is then verified and stored. When other users query this operation, the system automatically performs invisible (inaccessible) server-side verification. If verification passes, the operation is logged and a user-friendly prompt value is returned to verify the legitimacy of the data. This ensures that all data in the entire system is encrypted and verified for every operation node. Malicious modification is prevented by anyone (including illegal interception or malicious attacks).

[0100] A method for determining digital asset ownership. Through user actions, the system combines redundant system data into a new, user-specific dataset. Based on multiple user actions and the attention paid to this dataset by other users, the system automatically generates a fixed amount of digital assets for distribution. This system operates strictly according to development plans, using AI-based algorithms to assess the value of user data.

[0101] The quantitative formula is:

[0102] M=SS / ((MS+Ut)×(MS / 6))

[0103] M: represents the digital asset value.

[0104] SS: Indicates the total amount of the same type of system data.

[0105] MS: Indicates the total amount of unconfirmed user data.

[0106] UT: Indicates the total time contributed by the current user.

[0107] When M≥0.01, the system analyzes that the data group has no confirmed ownership, and the digital asset value is increased by 0.1. Otherwise, no increase is made and the system waits for the next combined evaluation.

[0108] If the data has been authenticated, no further analysis will be performed.

[0109] For verified data, the digital twin system will adopt the data content by default and will not perform secondary verification or validation operations to improve system operation efficiency.

[0110] Digital asset quantification method. The system provides digital asset services to users, and its quantification method follows a minimum quantification of 0.1, a minimum single increase or decrease of 0.1, and a maximum single increment of 1. That is, when a user operates, the system determines the minimum increase to be 0.1 digital asset, and the maximum increment is 1 digital asset.

[0111] A method for verifying the equivalence between digital assets and financial value. The number of digital assets in the system is evaluated based on the value of the user's data and entered into a table. Users can view and manage the entered content in the backend.

[0112] The value of digital assets will be given as a reference value based on the average distribution amount at the time of user query for user evaluation.

[0113] When a user uses digital assets to conduct a physical transaction, the system transfers the initiator's digital assets to the seller. After the seller completes the order transaction offline, they send a payment request to the system via the invoice settlement process. The system completes the transfer of digital assets after confirming that the buyer has actually received the goods or services. The amount of digital assets held by the buyer decreases by the same amount as the amount held by the seller.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for constructing a digital twin through a blockchain system, characterized in that: After the data in the data lake is classified, redundant, identified, and confirmed, ownership is proved. The data (group) with confirmed ownership is entered into the table. The data (group) entered into the table provides backup resources for system users. When the user obtains access qualifications through permitted access rights or purchased rights, he can use the data in the form of classified data synthesis according to his own permissions. The results generated during the use process will be distributed and used by the user in a visible but invisible way. The value generated by the data is reversely proved by the user who proves the ownership through blockchain in the form of digital assets to ensure that the digital assets generated by the system safely reach the user's account.

2. A method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: It also includes the following steps: data collection step, compilation step, storage step, labeling step, IA calculation step, asset evaluation step, verification algorithm step, blockchain proof step, distribution verification step, security step and digital asset generation and confirmation step.

3. The method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: The data collection step also includes the following steps: data collection through personal user input, corporate user input, import of existing institutional input, automatic collection of public network data, satellite remote sensing, and sensors. In the personal user and corporate user data, the source of the current data is proved through blockchain confirmation, and traced through the traceability system to ensure the ownership, use and storage rights of this group of data.

4. The method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: The asset valuation process also includes the following steps: Evaluation steps for data assets and digital assets: Users (C-end users, G-end users and B-end users) log in to the system and enter the data warehouse when making an operation request to the system. The system cleans the user data and sends the cleaned valuable data to the IA system, agricultural blockchain and application pool for processing and processing to obtain data assets and digital assets; The specific processing steps are as follows: Step 1: User data includes database data sets, videos, pictures, and audio digital data. When users generate valuable data or perform valuable operations, the system automatically stores and records redundant valuable information. Step 2: The blockchain system refers to the agricultural blockchain system, which provides a verification encryption algorithm for data and user operations, and returns the correct return value to the application pool. The application pool performs intelligent processing according to system requirements, verifies erroneous operations, and rolls back to ensure the integrity and immutability of the system. Step 3. Application pool: refers to the storage of various application files and program files in the system.

5. The method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: The verification algorithm steps include data input steps and verification function writing steps. Data input steps: clarify the input data type and automatic screening model, and store the qualified data into the database; Steps for writing verification functions: perform data classification operations through different classifications of various data to ensure accurate data processing, and store the data in the database after labeling; IA calculation steps: Through the assistant model algorithm, the data is re-checked and redundancy cleaned to ensure the classification and cleaning of data and historical data. When users retrieve data in the model, they can accurately select accurate data; Output result step: Based on the return value of the usage model, input the verification result to determine whether the solution is correct.

6. The method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: There are several steps in data reading and distribution verification: the cleaned data is stored in various tables of the database. When the user triggers a certain type of data reading request, the distribution system is triggered; the program verifies user permissions and data authorization. After the calculation is passed, the server responds to the user's operation request and distributes the data. The data distribution here involves sensitive information, and receives double confirmation from the blockchain verification; after receiving the data, the user end can use the data in compliance with regulations and generate new data; when the user's save operation is triggered, the system performs complex operations to verify and save. The main verification steps include user login status, user operation permissions, blockchain verification data formality and storage compliance assessment. When all verifications are passed, the system writes the user's operation into the database and performs blockchain on-chain proof.

7. The method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: Security steps: In terms of system security, we use virtual server + professional server security software to protect the server; in terms of user data security, when users operate with a lot of data, personal sensitive information and commercial data will be processed securely in an operational and invisible way to ensure the security of data and sensitive information.

8. The method for constructing a digital twin through a blockchain system according to claim 1, characterized in that: Steps for the generation and confirmation of digital assets: The generation of digital assets is the interaction between users and the system during operation. When valuable operations are generated or valuable data is provided to the system, the system will generate digital assets, which will be distributed to user accounts. The confirmation of user assets is mainly carried out through legality, compliance and authorization.

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