Trusted system for realizing digital asset right confirmation through agricultural block chain technology

Abstract

The invention discloses a trusted system for realizing digital asset right confirmation through an agricultural block chain technology, and belongs to the technical field of computer programs. User data verification, data storage, data right confirmation, data cleaning (redundancy), data comparison and data classification operations are realized in a distributed bookkeeping mode, data storage in a data lake is realized, the stored data is subjected to ownership certification, data distribution of digital asset right confirmation is carried out on the data (group) subjected to right confirmation certification, and data distribution is carried out on the data (group) subjected to right confirmation certification. A verification algorithm proves ownership, use right and management right of data assets, ownership confirmation of the data is achieved, traceable trace information is generated, and records generated in the test process comprise the whole process node of user operation. The core algorithm adopts the most advanced computer algorithm model to build the whole system in the aspects of safety, data intelligent classification, data cleaning and data right confirmation, and it is ensured that the trust of a user to the system in the using process reaches 100%.

Description

Technical Field

[0001] The present invention belongs to the field of computer program technology and relates to a trusted system for realizing digital asset rights confirmation through agricultural blockchain technology. Background Art

[0002] China's digital economy has entered a new historical stage. There are many barriers to data collection for national data assets and related industries. There is no universal mechanism for the various concepts and definitions of agricultural blockchain technology, data assets, and digital assets. There are also unclear technical architecture factors in data redundancy, which seriously hinders the process of agricultural digitalization. It is difficult for data sets of individuals and small and micro enterprises to be included in financial statements. Summary of the invention

[0003] In response to the development needs of China's digital economy and the lack of technological research and development, the present invention provides a trusted system for realizing digital asset rights confirmation through agricultural blockchain technology.

[0004] A trusted system for digital asset rights confirmation through agricultural blockchain technology contains the following steps: using distributed accounting to implement user data verification, data storage, data rights confirmation, data cleaning (redundancy), data comparison, and data classification operations, to implement data storage in a data lake, to store data for ownership proof, to distribute digital asset rights confirmation data (groups) that have been proven to have rights, to verify the ownership, use rights, and management rights of data assets using a verification algorithm, to implement data ownership confirmation and generate traceable trace information, and to generate records during the testing process, including the entire process node of user operations.

[0005] There are many issues in the confirmation of digital asset ownership, such as law, data value, and data ownership. The system has conducted innovative algorithm research in data value and data ownership and passed internal testing. The records generated during the testing process comply with current laws and regulations and can clarify the legality, ownership, and operating rights of the data.

[0006] In the process of business operation, the system can provide real digital asset rights confirmation for user data. In combination with practice, a system for realizing digital asset rights confirmation through agricultural blockchain technology has been developed. The system is a trustworthy system. Its core algorithm uses the most advanced computer algorithm model to build the entire system in terms of security, data intelligent classification, data cleaning, and data rights confirmation, ensuring that users have 100% trust in the system during use.

[0007] The advantages of the present invention are: a trusted system that realizes digital asset rights confirmation through agricultural blockchain technology, solves the data access mechanism, and at the same time, can provide digital asset services to users. This indicates that digital assets are about to enter the stage of universal digitalization. The establishment of an application platform marks a new breakthrough in the construction of the metaverse scene base.

[0008] A "data bank"-level security mechanism has been built to provide users with a unified access portal, simple operation, powerful system functions, strong data processing capabilities, and a dedicated application system with secure interactions. Users can truly trace the process, data source, data rights confirmation, and other aspects of the operation content. The interface is powerful, and the proportion of intelligent computing accounts for more than 98%. The rights confirmation is accurate, and the digital asset conversion is real-time, which protects the rights and interests of digital asset users (individual users and corporate users) and fills the technical gap.

[0009] The digital asset rights confirmation and distribution authentication content built by this system not only guarantees the digital asset rights of users, but also provides a new distribution proof algorithm, achieving a technological breakthrough in the field of data assets. The acquisition of user data assets has achieved a more usable process, protecting the data asset rights of more people.

[0010] System advantages: simple operation, intelligent control, high security and reliability, exclusive API interface. It improves the digitalization process for users, reduces data collection and maintenance costs, and breaks through the barrier of zero digital assets for users.

[0011] In the work of the entire system, the system records and identifies each link to ensure the security of system data. The data involves multiple types of data such as scene model data, animal data, plant data, climate data, water quality data, geographic data, technology breakthrough data, element data, automatic scene model, etc., which will be distributed through the digital asset rights confirmation and certification system to provide users with a professional service system, allowing users to easily own their own digital assets, and through continuous participation in the co-construction of the system, increase digital asset income and further ensure the prosperity of all people.

[0012] The user's digital asset income is guaranteed through financial attributes. After the user's data assets are generated, their digital assets will not be cancelled due to the user's voluntary cancellation, death, criminal liability, etc. Digital assets have the attributes of transfer, withdrawal, consumption, value conversion, etc. Its ownership belongs to the user or recipient bound when it is generated.

[0013] In terms of digital asset ownership, an independently developed process and encryption algorithm are used, which is different from the working principle of the general system, to ensure that the number of digital assets generated will not increase indefinitely and to ensure the financial security of the system. The system identifies the total amount of digital assets. When the total amount of digital assets is close to the upper limit of the system's financial system, the newly generated digital assets will be stored in the data pool in the form of "seeds". When conditions are ripe, the system will automatically prove the "seed" digital assets with blockchain and put them into the user's system account.

[0014] In terms of system scalability, the system architecture sets up a three-party API service mechanism. The system reserves access services for various data. During the access process, the system will automatically pull up the blockchain proof to judge and trace the data provided by the user. It can not only protect user data, but also provide traceability proof for data assets, and guarantee user rights in multiple dimensions and scenarios. At the industry data protection level, it guarantees the independence and security of group data assets. It provides a convenient operation interface for group users to upload in batches and manage in a unified manner.

[0015] In terms of system security, the entire module forms an independent system, and the operation records and login information of each link are recorded in detail. Operations involving finance will automatically call the blockchain proof mechanism to avoid malicious tampering of data by internal developers. In terms of the right confirmation model, the industry big data has been fully deduced and studied to improve the system's comprehensive processing capabilities in various big data and maximize the value of user data. In a commercial environment, the confirmation of user digital assets can comprehensively improve the strategic results of data assets as the number of users increases, while serving more users and providing users with digital asset rights.

[0016] In terms of data security, the system's main server uses a large domestic service provider, and domain name management uses a domestic service provider. Throughout the system's life cycle, domestic service providers are used. In the process of developing more functions, we will focus on ensuring data security, understanding and strengthening system security, and ensuring that big data will not be obtained by malicious elements. In terms of internal security mechanisms, we will establish a sound data security mechanism and conduct regular security and political training for core personnel.

[0017] In terms of data asset security, the system uses the "data bank" security framework for data operations, such as invisible, anonymized, desensitized, ownership verification, and authorization verification to improve data security. In terms of important industry data management, the internal confidential information mechanism is complete, and important personnel are regularly trained in security. The entire workflow implements all-round measures for server security, interaction security, information security, and anti-hacker attacks. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. As shown in the figure:

[0019] Figure 1 This is a flow chart of the digital asset rights confirmation system of the present invention.

[0020] Figure 2This is a user rights diagram of the present invention.

[0021] Figure 3 This is a logical structure diagram of the digital asset rights confirmation system of the present invention.

[0022] Figure 4 This is the overall system architecture of the present invention. DETAILED DESCRIPTION

[0023] The technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all of the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] Example 1: Figure 1 , Figure 2 , Figure 3 and Figure 4 As shown in the figure, a trusted system for digital asset rights confirmation through agricultural blockchain technology contains the following steps: user data verification, data storage, data rights confirmation, data cleaning (redundancy), data comparison, and data classification operations are realized by distributed accounting, and data storage in the data lake is realized. After the stored data is proved to have ownership, the data (group) that has been proved to have ownership is distributed to prove the ownership, use rights and management rights of the data assets. The rights confirmation system can realize the ownership confirmation of the data and generate traceable information. There are many problems in the confirmation of digital asset rights, such as law, data value, and data ownership. The system has carried out innovative algorithm research in data value and data ownership and passed internal testing. The records generated during the testing process can clarify the legitimacy, ownership and management rights of the data. In terms of security, data intelligent classification, data cleaning, and data rights confirmation, the core algorithm uses the most advanced computer algorithm model to build the entire system to ensure that users have 100% trust in the system during use.

[0025] A trusted system for digital asset rights confirmation through agricultural blockchain technology also includes the following steps: user registration, real-name verification, data upload, data storage, data cleaning, data redundancy, data anonymization, operation verification, operation proof, blockchain encryption, and financial value assessment.

[0026] Through the entire process of user registration, real-name verification, data upload, data storage, data cleaning, data redundancy, data anonymization, operation verification, operation proof, blockchain encryption, and financial value assessment, the storage at this time has obtained the data proof information of the deployed blockchain system and the tamper-proof distributed database verification system, and the users have the conditions to participate in the co-construction of the system.

[0027] When users visit a website, they can only access and operate information or data groups within their own permissions. After obtaining user data and user permissions, the system will verify whether the user-side verification data and the proof data on the blockchain chain are consistent through the blockchain proof system. If they are consistent, the system can be accessed and operated. In the process of interaction, valuable data will be generated. When the data accumulates to a certain amount, the system digital asset confirmation process will be triggered. The system will save the user operation data result information to protect the user's rights and interests. In terms of user level promotion and income records, the system has developed a complete large model (such as Figure 4 shown).

[0028] The entire work process will be recorded on the blockchain and proven through distributed accounting.

[0029] 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.

[0030] The system has not only improved user authentication and encryption, but also improved the confirmation of data ownership, ownership, management rights and usage rights. It automatically records user operation logs based on the current user's operations, automatically generates digital assets and submits the generated values ​​to the system for reverse audit. After the audit is passed, the current user records the detailed records of the digital assets received, and automatically adds the detailed records of the digital assets generated to the blockchain system. The calculation results are recorded through encryption algorithms, and system information or user information will not be leaked. Both the user and the system will receive a copy of the same accounting information for mutual verification.

[0031] Encryption Algorithm: There are multiple encryption algorithms in this system to ensure the security level when quantum computing is used to decipher.

[0032] The publicly referenced algorithms include a comprehensive encryption method of SHA256 and MD5. The encryption formula is as follows:

[0033] User encryption algorithm - user: SHA256 (NID & blockchain private key & MD5 user real-name information). Enterprise encryption algorithm - enterprise: SHA256 (enterprise private key & N ID & MD5 (enterprise unified code & operation code)).

[0034] Interactive fingerprint algorithm - general: SHA256 (initiator encryption algorithm & initiator public key & MD5 (receiver encryption algorithm) & receiver public key & verification code).

[0035] Among them: the & symbol is a symbol of the calculation formula of the computer programming language, and its function is to link the subsequent variable content. For example, if variables A and B are combined into variable C, the regular expression is C=A&B.

[0036] N id: automatic numbering by the database.

[0037] Public key: The result of the encryption algorithm.

[0038] Private key: The result of the encryption algorithm.

[0039] SHA256, MD5: These are existing third-party public algorithm files.

[0040] Verification code: The encrypted result generated by the system when a user initiates a blockchain verification request.

[0041] Data bank: refers to the collective name for the interaction mechanism between electronic contract system, IA logic operation system, financial system and digital asset management.

[0042] At this point, the entire system has realized the work of data asset confirmation and saved the results to the cloud server, completing a workflow.

[0043] Example 2: Figure 1 , Figure 2 , Figure 3 and Figure 4 As shown, a trusted system for realizing digital asset rights confirmation through agricultural blockchain technology also includes the following steps: the IA system provides full access to data asset rights confirmation. User login authority acquisition login verification, 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, digital asset generation and rights confirmation step, digital asset distribution and certification step.

[0044] User cross-domain login permission acquisition login verification:

[0045] When a user logs in to the system, the WEB3.0 cross-domain login mechanism will be called. The workflow is that the user enters the login username and password at the login entrance of any site in the cluster or chooses a third-party quick login method to log in to the system. When the user accesses between websites in the cluster, the system will automatically identify whether the current user is logged in and whether the login status is valid. If valid, the system will automatically record the user's access operation record. If invalid, the visitor is regarded as an ordinary browser of the program and has no right to operate restricted content.

[0046] Data collection steps:

[0047] Data is collected through personal user input, corporate user input, existing institutional input import, automatic collection of online public data, satellite remote sensing, sensors, etc. In personal and corporate user data, the source of the current data is proved through blockchain confirmation, and the source is traced through the traceability system to ensure the ownership, use and storage rights of the group of data.

[0048] The compilation step includes the following steps: the data collection data deployment database, including pictures, videos, data, documents, personal information, and corporate information content, is compiled according to the system classification. After the compilation is completed, the system will convert the commercial data through the comprehensive evaluation of the audit, authenticity verification, authorization mechanism, integrity system, and supervision system.

[0049] Storage steps:

[0050] The compiled and redundant data are stored digitally to ensure that the content is stored securely, standardized and accessed smoothly.

[0051] Labeling steps:

[0052] Labeling the compiled data is beneficial to system logic operations and data governance. The system uses an autonomous labeling system to dynamically label the data. Labeling is performed according to the attributes and location of the data. For example, labels such as agricultural product seeds, flower seeds, meteorological data, user data, and image data. At the same time, the data group is identified by a labeling mechanism, such as date labels, private labels, and behavior labels.

[0053] IA is the abbreviation of Intelligent Assistant.

[0054] Asset valuation steps:

[0055] Asset evaluation in this system is divided into five parts, including data asset evaluation, digital asset evaluation, integrity data evaluation, regulatory data evaluation and business data evaluation.

[0056] like Figure 2As shown in the figure, the working steps of the digital asset rights confirmation and distribution system are described, indicating the asset evaluation steps. Users (individual users, corporate users or regulatory users) log in to the system and enter the IA rights confirmation compilation system when they make an operation request to the system. The system cleans the user data, and the valuable data after cleaning is handed over to the IA system, agricultural blockchain, and IA deployment for distributed storage. The processed data set is handed over to the evaluation system. The evaluation system uses the "game theory method" for logical operations, and the result has a completely credible blockchain proof chain content. Thus, data elements are generated. Data must be formed into a decision model through compiling data flow, resource integration, and value mining. The decision model will carry out the audit warehousing process of the system module. After the audit warehousing is completed, the system also completes the value consensus label of the group of data assets.

[0057] The specific processing steps are as follows:

[0058] Step 1, (Default user is logged in) User data collection such as Figure 2 As shown in the figure, the integration of internal and external data is completed, and DB distributed storage and IA deployment are performed. The data includes database data sets, videos, pictures, documents, audio and other digital data.

[0059] Step 2: The confirmation and compilation system provides a verification encryption algorithm for data and user operations through the blockchain system (referring to the agricultural blockchain system) (the algorithm is consistent with the encryption fingerprint algorithm). At the same time, the correct return value is returned to the confirmation and compilation system, and the confirmation and compilation system performs intelligent processing according to logical requirements. Verification errors will be rolled back to ensure the integrity and immutability of the system. The confirmed data will be re-labeled. The labeled data set information forms data element information.

[0060] Step 3, data element set: refers to the collective term for data element information formed by users and systems within the system for the labeled data set information.

[0061] The verification algorithm steps include data input steps and verification function writing steps.

[0062] Data input steps: clarify the input data type and automatic screening model, and process the eligible data into the database.

[0063] Steps for writing a verification function: Perform data classification operations through different classifications of various data to ensure accurate data processing, and store the data in the database after labeling.

[0064] 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, and to ensure that users can accurately select accurate data when retrieving data in the model.

[0065] Build and use the model steps: write an internal test version, verify the operation of each step, analyze the results and optimize the model.

[0066] Output result step: Based on the return value of the usage model, input the verification result to determine whether the solution is correct.

[0067] Blockchain proof step: Encrypt the correct content of the returned result.

[0068] Distribution verification steps:

[0069] Blockchain encryption algorithm is used for distribution and core verification model construction.

[0070] There are several main steps in data reading and distribution verification:

[0071] The cleaned data is stored in various tables in the database. When the user initiates a certain type of data reading request, the distribution system is triggered.

[0072] 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. If the data distribution here involves sensitive information, it will also receive double confirmation from blockchain verification.

[0073] After receiving the data, the user end can use the data in compliance with regulations and generate new data.

[0074] 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 assessment. When all verifications are passed, the system will 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).

[0075] Step 4: Confirmation of ownership workflow. After the entire digital asset is confirmed, the system will continue to perform the following steps:

[0076] Verification of the integrity of the title confirmation information: After the system returns the title confirmation information to the user and the system, it will be verified twice, and the process ends if the verification passes. If the verification fails, a system prompt will be given, which will be directly fed back to the super management background to provide optimization reference for technical personnel.

[0077] System information distribution: After the verification, the digital asset information will be shared with the current user, associated users, data set rights owners, electronic contract system, digital asset management system, and financial system through the IA assistant system to update and synchronize system data and ensure system data synchronization.

[0078] Workflow self-check program: After the application completes the entire process and distributes system information, it forms a process record and optimization data package for developers, making it convenient for developers to optimize the system without accessing the user's original data.

[0079] Safety steps:

[0080] 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 with a lot of data, personal sensitive information and commercial data will be securely processed in an operational and invisible way to ensure the security of data and sensitive information.

[0081] Steps for the generation and confirmation of digital assets:

[0082] 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 the user's account. The confirmation of user assets is mainly carried out through legality, compliance and authorization.

[0083] Distribution certification of digital assets:

[0084] After the digital asset is confirmed, it needs to be distributed and authenticated. The steps of the digital asset confirmation, distribution and authentication system include: data collection step, distributed storage step, game theory logic operation step, confirmation compilation step, data element generation step, submission of system module for audit and storage step, value consensus step, and distribution authentication step. At this point, the entire workflow ends.

[0085] Embodiment 3: A trusted system for realizing digital asset rights confirmation through agricultural blockchain technology, further comprising the following steps: Figure 3 As shown in the figure, the logical structure diagram of the digital asset title confirmation system is shown. A detailed explanation is given in terms of the overall system workflow and encryption algorithm structure. The system includes the front page, security layer, application layer, background management, database and program development. The logical structure diagram of the title confirmation system only shows the content required by the patent and the framework that must be displayed to illustrate the system.

[0086] Front page. Provides users with unified entry information and the ecological structure of the entire system. It is convenient for users to quickly find the corresponding entry when providing different data.

[0087] Security layer. The system has built a powerful security mechanism, not only in terms of hardware, software, and operational security, but also in terms of national data security. In particular, it is proposed that identity recognition uses the blockchain consensus mechanism to encrypt and generate unique account information for user identities. This account information will exist in the cross-domain network deployed by Younong Fujing, and its electronic account information is consistent with the unique account information.

[0088] Application layer. Figure 4 As shown, the application contents of all sections are grouped here. Programs involving core encryption algorithms are encrypted to ensure system security.

[0089] Backstage management. Backstage management is divided into user backstage and super management backstage. User backstage is different from super management backstage of ordinary websites.

[0090] Database. The database is scientifically deployed and ensures security.

[0091] Program development. In the current system, the logical structure of the digital asset rights confirmation system has been completed and can provide services to users. In subsequent program development, the system functions will be continuously improved.

[0092] The digital asset title confirmation system ends here.

[0093] Example 4: Figure 1 , Figure 2 , Figure 3 ,and Figure 4 As shown in the figure, a trusted system for digital asset rights confirmation through agricultural blockchain technology also contains the following steps: encrypting user information and protecting original data security through blockchain technology. The original data provided by the user and the original data generated by the system are stored in the domestic high-level security service provider server, which has excellent defense protection against ordinary hacker attacks. During the operation and transmission process, the data packet only provides the public key information of the operation instructions and verification information. This security model avoids higher-level hacker attack methods such as packet interception, and fully protects the security of original data and digital assets.

[0094] The protection mechanism for large-scale data in the industry adopts the construction of a huge agricultural database group, which provides a basic guarantee for the architecture of the entire system data. In terms of storage security, cloud servers and multi-point backup are used to ensure the security of original data. At the same time, through a strict access control mechanism, it is ensured that data operations can only be accessed through legal rights confirmation, avoiding hackers, data interception, DDOS attacks and other common hacking methods to borrow goods and tamper with data. The blockchain encryption algorithm is used to complete the system operation verification to ensure the security of the operation process and data rights confirmation.

[0095] The system adopts cross-platform verification function to facilitate users to conduct various operations such as review, operation, and signing of data clusters.

[0096] The verification and operation process of the entire system are completed on the server side or in the program pool.

[0097] The system stores videos, files, audio, pictures and data in different categories. Figure 3 The authorization mechanism is accessed and verified and stored through public key authorization. When other users query the operation, the system will automatically verify the server in an invisible way (the source data cannot be obtained). If the verification is passed, the operation log will be recorded and the data packet available to the user will be returned to prove the legitimacy of the data. In this way, the operation encryption record is made for each operation node in the system to ensure that all data in the entire system is verified and encrypted. No one (including illegal interception or malicious attack) can make malicious modifications.

[0098] Data distribution for data asset rights confirmation: refers to the data of user data after ownership proof, which needs to be further confirmed. The confirmation method is to attach user information to the confirmation proof through a verification formula. The calculation formula is: QQstr = SHA256 (N ID & CONn id), where QQstr represents the confirmation encryption string; SHA256 represents the encryption algorithm disclosed in the computer system; N ID represents the unique random string when the current user registers the user, which is also used for the unique identification of the user; CONn id represents the N ID value of the current operation data group. This logical operation forms a new encrypted string QQstr, which is used to record the confirmation information of the current user's digital assets.

[0099] Verification algorithm: refers to the verification algorithm that the system will verify when a user reads the authenticated data for distribution or use. The verification algorithm is consistent with the data distribution formula for data asset authentication, which is QQstr=SHA256(N ID&CONn id). When the verification results are equal, the system confirms that the verification is successful.

[0100] Distribution and authentication method of digital assets. Through user operations, the system combines redundant system data into a new data set suitable for the current user. Through multiple user operations and other users' attention to this data set, the system automatically generates quantitative digital assets for distribution. The system is strictly implemented in accordance with security deployment and performs quantitative AI calculation evaluation based on the value of user data.

[0101] The user data encryption formula is:

[0102] US=SHA256(N ID&nt ime&(MD5(N ID))).

[0103] US: User ID password identification string.

[0104] SHA256: A public encryption algorithm on the Internet.

[0105] N ID: The coded string automatically generated by the system when the user registers.

[0106] &: A character that represents a link in computer language. For example, A&B, A=23, B=567, the calculation result is: 23567.

[0107] MD5: An encryption algorithm publicly available on the Internet.

[0108] The authentication logic formula is:

[0109] TT=SF=AF=JG=PG=SA=SDATA=TD.

[0110] TT: indicates whether the distribution authentication is on or off. If the return result is True, the distribution is allowed, otherwise it is an error.

[0111] SF: represents the default value Fa l se. The credit system reads the user's credit score, determines the operation authority and returns the value.

[0112] AF: Indicates that the default value is False. The system audits whether the operation results of the verification data have passed the audit. If the data passes the audit, it returns True, otherwise it returns False.

[0113] JG: Indicates that the default value is False, and the system returns the value returned by the supervision system. When the supervision data meets the system requirements and operation safety, True is returned.

[0114] PG: Indicates that the default value is False. The system reads the asset evaluation results of this group of operations and returns True if there is value.

[0115] SA: Indicates that the default value is True. The system calls the authorization mechanism. If the authorization of the current user and the current data set is not necessarily rejected, it returns True. Otherwise, it returns False and gives an authorization prompt.

[0116] SDATA: indicates that the default value is True, and the system's management rights and lock status for this set of data sets are False. When the lock status is True, it means that the data set is being used by other users or systems, and currently no operations can be performed, and False is returned.

[0117] TD: Indicates that the default value is True, indicating the port status, that is, the database access port is consistent with the user operation port authorization. This field is also the value assigned by the user super user to limit the user's operation rights.

[0118] When TT=True, the system completes writing and returns to the user operation interface.

[0119] When TT≠Ture, the system performs a rollback operation and returns to the above process.

[0120] When the user is newly registered, the authentication logic function is not called. When the user is logged in, the authentication logic function is called.

[0121] For new user registration, the system provides access to public information. Users can browse surface information and check basic information without registering or logging in, which is convenient for user operation. It not only ensures the publicity and openness of the system, but also provides data promotion support for users who choose to use the system.

[0122] When a new user initiates registration, the system automatically completes the encryption, identity verification and agricultural blockchain access guidance process, making it convenient for users to obtain free usage rights.

[0123] User login, when the user initiates the operation of logging into the system, the system performs full-process verification and user data cache operations, preloads information for the user to enter each operation interface, and improves the system access speed. When digital assets are generated during the user operation, the system automatically triggers the digital asset confirmation process. The user data assets that have been verified will be collected and stored by the system. Only distributed digital assets can be used by users for financial properties. This is not only a legal scope, but also a barrier to protect the financial rights and interests of system users.

[0124] Example 5: Figure 1 , Figure 2 , Figure 3 ,and Figure 4As shown in the figure, a trusted system for realizing digital asset rights confirmation through agricultural blockchain technology also contains the following steps: a trusted system and implementation standards for digital asset rights confirmation are constructed. In the distributed storage system based on blockchain, the distributed accounting method realizes user data verification, data storage, data rights confirmation, data cleaning (redundancy), data comparison, and data classification operations, and realizes data storage in the data lake. After the stored data is proved to have ownership, the data (group) that has been proved to have ownership is distributed to prove the ownership, use rights and operating rights of the data assets. The rights confirmation system can realize the ownership confirmation of the data and generate traceable trace information. There are many problems in the confirmation of digital asset rights, such as law, data value, and data ownership. The system has carried out innovative algorithm research in data value and data ownership and passed internal testing. The records generated during the testing process can clarify the legitimacy, ownership and operating rights of the data. In the process of business operations, the system can provide real digital asset rights confirmation for user data. In terms of security, data intelligent classification, data cleaning, and data rights confirmation, the core algorithm uses the most advanced computer algorithm model to build the entire system to ensure that users have 100% trust in the system during use.

[0125] Adopt a scientific application and review mechanism to complete the system. Develop a one-stop WEB application portal entrance, and all authorization applications can be entered from this unified place. Provide unified data set browsing to facilitate users' understanding of the data. Present corresponding licensing options according to the data type to increase data security. When reviewing data and applications, use national electronic identity or business license, school certificate, etc. to verify user identity information. The system increases the system's automatic processing capabilities by checking the applicant's historical credit record. In the above workflow, the system will call up machine learning language to help auditors identify abnormal applications. After the system passes the initial review, the user's application is sent to the review authority item. For low-sensitivity data sets, the direct approval mechanism is authorized. For highly sensitive data sets, it is transferred to the data subject user background for collaborative review. The review should be completed within a time limit, and an online negotiation function should be provided to facilitate communication between the three parties.

[0126] Data distribution is executed by electronic signature. It is protected by blockchain encryption and user public key superposition algorithm to ensure that the authentication operation is completed on the server side during the authorized use process, reducing the probability of attack caused by the interaction between sensitive data and the user side. The electronic signature steps are: the system reads the user information and verifies the ownership of the data or identifies the current user's operation authority on the current data group. If it meets the requirements, data protection processing is performed. The data is processed by blockchain encryption. After the system calculates the available information of the data, a new "application data package" is generated. The application data package is submitted to the system background according to the application requirements. The background performs AI automatic distribution according to the sensitivity of the data. For low-sensitivity applications, it is directly distributed to the auditor. For highly sensitive data, it will be distributed to the data ownership user background and send mobile phone text messages and station letters to remind users to make timely review replies. If the reply is not passed, the online communication module will be pulled up. If the reply is passed, the system will submit the user review results and remarks of the data set ownership to the super management background for further processing. After receiving the online authentication information from the data owner (or data provider), the super management backend will review the applicant's qualifications and the authenticator's information. If all the information is complete and the process is complete, the system administrator will approve it and make a paper authorization information record. At this point, the application process is completed.

[0127] The digital asset ownership confirmation process consists of a complex workflow, which includes data desensitization and anonymization:

[0128] Data desensitization: the sensitive information of the data set requested by the user is concealed. The processing scope includes:

[0129] Name information in the data.

[0130] Home address information in the data.

[0131] The complete mobile phone number (telephone number) information in the data.

[0132] Non-public commercial marketing data in the data.

[0133] Non-public customer information in the data.

[0134] Comprehensive identification and processing of confidential information in data.

[0135] The public information of data providers is desensitized.

[0136] Other data types that require desensitization.

[0137] The workflow of declassification work includes:

[0138] Steps for determining data types, querying type library desensitization rules, self-desensitization according to rules, automatically establishing desensitization rules if there are no desensitization rules and submitting them for manual review, the system records the desensitization mark of the data set as partial desensitization, manual review or compilation pass, the system adds the un-desensitized part for secondary processing, and completes desensitization and generates a blockchain-encrypted experience record set for the data set. This improves efficiency when the system accesses the data set again.

[0139] Anonymization includes:

[0140] Identify the information in the data set that needs to be anonymized, such as name, data set title for general query, information, etc. The system then replaces the * sign or performs anonymization according to the anonymity settings. The system's default anonymization rules are:

[0141] Read sensitive information and perform * substitution or replacement when displaying.

[0142] Read sensitive information and perform *replacement or substitution when downloading.

[0143] For information that the data owner has authorized as non-sensitive, the system will not perform anonymization by default.

[0144] The verification algorithm steps include data logic operation steps and verification function writing steps.

[0145] Data logic operation steps: Build a large model, define data classification into clear types and automatic screening models, and store the data that meets the requirements.

[0146] Steps for writing a verification function: Perform data classification operations through different classifications of various data to ensure accurate data processing, and store the data in the database after labeling.

[0147] 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, so that users can accurately select accurate data when retrieving data in the model.

[0148] Data watermarking step: The system embeds unique encrypted watermark information for the ownership information of each digital asset. The watermark content includes the user's N ID and public key, and the ownership information is shared on the blockchain.

[0149] Output result step: The system pulls up the data set information, responds to user requests, and determines the operation permissions. The data that need to be authorized are distributed to the traceability user to apply for authorization. After authorization is passed, logical operations and verification are performed. After verification, IA calculation is performed according to the needs initiated by the user. After the data set is reorganized, data watermark processing is performed, and new encrypted information is generated and saved to the agricultural blockchain system and the user background. The process is now complete.

[0150] The blockchain distributed accounting system is used to ensure the integrity and non-tamperability of digital asset confirmation information. There are several steps in integrity verification: the original data is not directly modified or moved, and the digital assets generated before are not affected when the user operates, deletes, moves, or modifies the data. The data elements of the data group of the original data source confirmation will not be deleted. The new data assets after this modification will generate new blockchain nodes with the latest data information; there are several steps in non-tamperability: the cleaned data is stored in each table of the database. During the new operation process, the system will read the original data and the corresponding blockchain proof data for comparison, and the verification system will be triggered; when the original data changes, the system will generate a new proof chain, which will "overwrite" the proof asset information of the original chain, provide the latest data set for subsequent users and ensure the validity of the data; the digital assets that have been confirmed belong to the operating user of the confirmed assets, and the group of data will not be repeatedly obtained by other users at the same time. When other users operate on the same data, if there are overlapping operations or valuable updates, the system will provide new digital assets to the new users, so as to avoid the risk of repeated pricing of data.

[0151] It has a secure protection system. The security steps are as follows: in terms of system security, it uses virtual servers + professional server security software to protect the server; in terms of user data security, when users operate a lot of data, personal sensitive information and commercial data will be processed in an operational and invisible way to ensure the security of data and sensitive information. In terms of property rights security, it uses logical deduplication and avoids repeated calculations to achieve the authenticity of the value of the data lake. In terms of distribution authentication security, it uses real-time verification, blockchain encryption, and distributed cloud storage to ensure the traceability and non-tamperability of system records.

[0152] Artificial intelligence will be deeply involved in licensing operations. Through machine learning, historical licensing cases are analyzed, historical data set generation rules are summarized, and assessments suitable for industry data set classification and value assessment are summarized for the industry. AI can automatically recommend the best licensing authentication process for new applications, and even make authorization decisions in the scope of compliance, realizing intelligent IA (assistant) collaborative processes.

[0153] The generation and confirmation of digital assets form a "data bank" model and reshape the authorization structure. The steps are as follows: the generation of digital assets is an interaction with the system. When applying for authorization or providing valuable data 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, authentication conditions and authorization letters. The workflow and record storage of the entire background system form an authorization mechanism of the "data bank".

[0154] The system's trusted mechanism has a full-process method for digital asset confirmation, and has been optimized in terms of data security and operating procedures. The system's service scope covers financial attributes and is a platform for protecting the rights and interests of personal digital assets of all people and small and micro enterprises. The system has efficient public data authorization operations, which is the key to ensuring data value and promoting the digital economy. It has professional teams and practical data in subdivided fields. Through the continuous improvement of the system by scientific researchers, the system for realizing digital asset confirmation through agricultural blockchain technology has fully met the conditions for commercial activities. The integrity, security and similarity claims of the system also include that the secondary development model or interface authorized by the system does not have the authorization to independently generate digital assets. At the same time, the digital assets generated by it do not appear in the chain records in the system and are also regarded as invalid digital assets.

[0155] 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 protection scope of the present invention.

Claims

1. A trusted system for digital asset rights confirmation through agricultural blockchain technology. It is characterized in that The distributed accounting method realizes user data verification, data storage, data confirmation, data cleaning (redundancy), data comparison, and data classification operations, realizes data storage in the data lake, stores data for ownership proof, distributes digital asset confirmation data (groups) with confirmation proof, verifies the ownership, use rights and operating rights of data assets, realizes data ownership confirmation and generates traceable trace information, and records generated during the testing process, including the entire process node of user operations.

2. According to claim 1, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that A one-stop WEB (World Wide Web) application portal. All authorization applications are entered from this portal. When reviewing data and applications, electronic identity or business license and school certificate are used to verify user identity information. The system checks the applicant's historical credit record. The system retrieves machine learning language to identify abnormal applications. After the system passes the initial review, the user application is sent to the review authority. For low-sensitivity data sets, a direct approval mechanism is authorized. For high-sensitivity data sets, the application is transferred to the data subject user's backend for collaborative review. After the review is completed, an online negotiation function is provided for three-party communication.

3. According to claim 1, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that The data distribution of digital asset rights confirmation is executed in the form of electronic signatures, which are protected by blockchain encryption and user public key superposition algorithms to ensure that during the authorized use process, the large authentication operation is completed on the server side. The electronic signature steps are: the system reads the user information and verifies the ownership of the data or identifies the current user's operation authority over the current data group. Data protection processing is performed if it meets the requirements. The data is processed using blockchain encryption. After the system calculates the available information of the data, a new "application data package" is generated. The application data package is submitted to the system background according to the application requirements. The background performs AI automatic distribution according to the sensitivity of the data. For low-sensitivity The sensitive application will be directly distributed to the auditor. For highly sensitive data, it will be distributed to the data ownership user background and a text message or internal message will be sent to remind the user to make a timely review reply. If the reply is not passed, the online communication module will be pulled up. If the reply is passed, the system will submit the user review result and remarks of the data set ownership to the super management background for further processing. After receiving the online authentication information of the data owner (or data provider), the super management background will review the applicant's qualifications and authenticator information. If all the information is complete and the process is complete, the system administrator will approve it and record the authorization information on paper. At this point, the application process is completed.

4. According to claim 1, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that The digital asset ownership confirmation process is a complex workflow that includes data desensitization and anonymization: Data desensitization: the sensitive information of the data set requested by the user is concealed. The processing scope includes: Name information in the data, Home address information in the data, The complete mobile phone number (telephone number) information in the data, Non-public commercial marketing data in the data, Non-public customer information in the data, Comprehensive identification and processing of confidential information in data, The public information of data providers is desensitized. Other data types that need to be desensitized: The workflow of data desensitization includes: Determine the data type step, query the desensitization rules of the type library step, perform desensitization according to the rules, automatically create desensitization rules if there are no desensitization rules and submit them for manual review, the system records the desensitization mark of the data set as partially desensitized, passes the manual review or compilation, the system adds the un-desensitized part for secondary processing, completes desensitization and generates a blockchain-encrypted experience record set for the data set, Anonymization includes: Identify the information in the data set that needs to be anonymized, such as names, data set titles for common queries, and information, and then the system replaces the asterisks with the anonymous setting or performs anonymization according to the rules. The default anonymization rules are: Read sensitive information and replace it with * or replace it when displaying. Read sensitive information, perform * substitution or replacement when downloading, For information that the data owner has authorized as non-sensitive, the system will not perform anonymization by default.

5. According to claim 1, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that The verification algorithm steps include data logic operation steps and verification function writing steps. Data logic operation steps: Build a large model, define data classification into clear types and automatic screening models, and store the data that meets the requirements; 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; Data watermarking step: The system embeds unique encrypted watermark information for the ownership information of each digital asset. The watermark content includes the user's NID and public key. The ownership information is shared on the blockchain. Output result steps: The system pulls up the data set information, responds to user requests, and determines the operation permissions. Those that need authorization are distributed to the traceability user to apply for authorization. After authorization is passed, logical operations and verification are performed. After verification is passed, IA calculations are performed based on the needs initiated by the user. After the data set is reorganized, data watermarking is performed to generate new encrypted information and save it to the agricultural blockchain system and user background.

6. According to claim 5, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that There are several steps in verification: the original data is not directly modified or moved. When the user operates, deletes, moves or modifies the data, the previously generated digital assets will not be affected, and the data elements of the data group confirmed by the original data source will not be deleted. The new data assets after this modification will generate new blockchain nodes with the latest data information; there are several steps in terms of immutability: the cleaned data is stored in various tables of the database. During the new operation process, the system reads the original data and compares it with the corresponding blockchain proof data, and the verification system is triggered; when the original data changes, the system will generate a new proof chain, which will "overwrite" the proof asset information of the original chain, provide the latest data set for subsequent users and ensure the validity of the data; the digital assets that have been confirmed belong to the operating user of the confirmed assets, and the group of data will not be repeatedly obtained by other users at the same time. When other users operate on the same data, when there are overlapping operations or valuable updates, the system will provide new digital assets to the new users, so as to avoid the risk of repeated pricing of data by this logic.

7. According to claim 1, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that 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 way to ensure the security of data and sensitive information. In terms of property rights security, we use logical deduplication and avoidance of repeated calculations to achieve the authenticity of the data lake value. In terms of distribution and authentication security, we use real-time verification, blockchain encryption, and distributed cloud storage to ensure the traceability and non-tamperability of system records.

8. According to claim 5, a credible system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that AI participates in authorization operations, analyzes historical authorization cases through machine learning, summarizes the rules for generating historical data sets, and summarizes assessments suitable for industry data set classification and value assessment for the industry. AI automatically recommends the best licensing authentication process for new applications, and even makes authorization decisions within the scope of compliance, realizing an intelligent IA (assistant) collaborative process.

9. According to claim 6, a trusted system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that The generation and confirmation of digital assets form a "data bank" model and reshape the authorization structure. The steps are as follows: the generation of digital assets is an interaction with the system. When applying for authorization or providing valuable data 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, authentication conditions and authorization letters. The workflow and record storage of the entire background system form the authorization mechanism of the "data bank".

10. According to claim 1, a trusted system for realizing digital asset rights confirmation through agricultural blockchain technology, It is characterized in that It includes a trusted mechanism, which has a full-process method for digital asset ownership confirmation and optimizes data security and operational processes.

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