Total-factor integrated large Token data management system and management method

Abstract

The invention discloses a total-factor integrated large Token data management system, and the system comprises an identity credential collection unit which is used for obtaining an identity label and associated business data from a plurality of social subjects; the identifier abstraction unit is used for mapping the identity identifier into a standardized Token primary key according to a main body type and structuring the associated business data into a corresponding digital asset package; the total element aggregation unit is used for aggregating and packaging the digital asset package into a single verifiable large Token data structure, and the large Token comprises a Token primary key and a dynamic trust level; the dynamic trust engine is used for calculating and updating the trust level of each main body in real time and binding the trust level to the corresponding large Token; and the intelligent service execution unit is used for responding to an external business instruction and calling the large Token to realize intelligent service.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital identity authentication, and in particular to a data management system and method based on dynamic trust evaluation. BACKGROUND

[0002] In the prior art, complex cross-subject business scenarios (such as financial credit investigation, administrative approval, and enterprise listing preparation) need to obtain and verify data from multiple independent systems (such as tax, business, and personal credit). This mode usually involves: 1) multiple data requests, resulting in high latency; 2) multiple identity verifications, causing redundant computing power; 3) difficulty in uniformly guaranteeing data authenticity, making it difficult for AI models to directly output decision-level results. Traditional data tokens are usually small tokens for a single data source and cannot carry complete business context, greatly limiting the efficiency and credibility of AI large models in high-level decision applications.

[0003] It should be noted that the above introduction to the technical background is only to facilitate a clear and complete description of the technical solutions of the present application, and to facilitate the understanding of those skilled in the art. The above technical solutions cannot be considered as known to those skilled in the art merely because they are described in the background section of the present application. SUMMARY

[0004] The present application aims to overcome the shortcomings of the prior art and provide a full-factor integrated large Token system based on dynamic trust evaluation. By aggregating five types of subject data into a single verifiable structure and supporting its presentation in the form of strings, two-dimensional codes, NFC, etc., it realizes "one-time authentication, multi-scenario authorization, and one-key service".

[0005] The present application discloses a full-factor integrated large Token data management system, comprising: an identity credential collection unit for obtaining an identity identifier and an associated business data from multiple social subjects; an identity abstraction unit for mapping the identity identifier to a standardized Token primary key according to the subject type, and structuring the associated business data into a corresponding digital asset package; a full-factor aggregation unit for aggregating and encapsulating the digital asset package into a single verifiable large Token data structure, the large Token including a Token primary key and a dynamic trust level; a dynamic trust engine for real-time calculation and updating of the trust level of each subject and binding it to the corresponding large Token; and an intelligent service execution unit for responding to external business instructions and calling the large Token to realize intelligent services.

[0006] Further, the above-mentioned identity abstraction unit generates Token primary keys using the following mapping rules: for natural person units or family units, the mobile phone number or email address after real-name verification by telecom operators or email service providers is used as the Token primary key; for economic organization units or grassroots governance units, the unified social credit code and "enterprise number + enterprise code" combination are used as the Token primary key; for public management units, the serial number of the digital certificate issued by the national electronic authentication root CA of the national e-government system is used as the Token primary key; once the above-mentioned Token primary key is generated, it cannot be reversed to the original identity.

[0007] Further, the above-mentioned digital asset package includes: a number package including identity verification status, financial assets, credit performance records, etc.; a family number package including family member relationship graph, common property list, residence address transition, etc.; an enterprise number package including business registration information, tax declaration, intellectual property, supply chain contract, etc.; a village number package including land contract rights, homestead qualification rights, collective economic organization member identity, etc.; a government number package including administrative permission items, supervision and law enforcement logs, public resource allocation data, etc.

[0008] Further, the above-mentioned large Token is configured to be presented in any of the following forms: a human-readable string code, a machine-identifiable two-dimensional code, or an NFC tag.

[0009] Further, the intelligent services implemented by the above-mentioned intelligent service execution unit include any of the following intelligent services: one-key statistics, aggregating economic and social indicators in multiple large Tokens to generate regional operation situation reports; one-key audit, comparing supervision rules in government Tokens with business behaviors in enterprise Tokens to identify abnormal patterns; one-key tax reporting / refunding, integrating income, assets, and transaction data in individual, family, and enterprise Tokens to automatically generate tax return forms; one-key credit, integrating performance records, penalty information, and business status to output dynamic credit scores; one-key listing, based on enterprise Tokens to automatically extract equity, financial, and compliance data, and generate preliminary drafts of securities issuance materials within 48 hours.

[0010] The application also discloses a cross-subject identity authentication and data management method based on a full-element integrated large token, and has the characteristics that it comprises the following steps: S1, obtaining the authoritative identity of a plurality of social subjects and associated business data; S2, generating an irreversible standardized token primary key based on the subject type and a preset mapping rule, and constructing a corresponding digital asset package; S3, encapsulating a plurality of digital asset packages into a large token bound with a dynamic trust level through an aggregated signature; S4, responding to a business instruction, calling the large token, driving an AI model to perform cross-domain reasoning, and outputting a structured decision result; wherein the large token can be output in the form of a string, a two-dimensional code or an NFC label, and is used by a user in a physical or digital scene.

[0011] Further, the dynamic trust level is calculated by using a weighted time sequence model.

[0012] Trust(t)=α×Recency(t)+β×Authority(t)+γ×Consistency(t)-δ×RiskEvents(t) (Formula 1)

[0013] In the formula, Trust represents the dynamic trust level, t represents time, α, β, γ and δ are weighting coefficients and α+β+γ+δ=1, Recency represents the data timeliness weight, Authority represents the source authority, Consistency represents the behavior consistency, and RiskEvents represents the negative event deduction item.

[0014] Further, when the large token is presented in the form of a two-dimensional code, the following process is performed: a user terminal generates a QR code (QR Code) comprising a large token hash value; after being scanned by a verifier, a verification request is sent to a server; the server queries the integrity of the large token corresponding to the hash and the current trust level based on a distributed storage system; if Trust(t)≥threshold T and is not expired, then "verification passed" and the required field summary are returned, and the original data is not out of chain.

[0015] Further, in the step S4, when the business instruction involves the capital market preparation, the system automatically performs the following: extracting the shareholder structure, the financial report of the past three years, the intellectual property list and the like in the enterprise large token; querying the administrative punishment and compliance status and the like in the government affair large token; if Trust(t)≥threshold T, then activating an AI document generation module to output Initial Public Offerings (IPO) materials in conformity with the regulatory format.

[0016] Further, the cross-subject identity authentication and data management method based on the full-element integrated large token further comprises an edge-cloud collaborative architecture; the identity credential collection and identity abstraction are completed locally on the user terminal; the aggregation of the large token, trust evaluation and service execution are completed on the cloud server; the terminal only transmits data digest or hash value to the cloud, and the original sensitive data does not go out of the device, ensuring compliance.

[0017] The one-key service shortens the business processing time by more than 90%, the original data does not go out of the terminal, there is no doubt about leakage, supports multiple presentation modes such as string, two-dimensional code and NFC, and the application of the five-digit package of the large token based on the real large model of the right data can directly output the decision level result. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a schematic diagram of a full-element integrated large token system in an embodiment of the present application.

[0019] Figure 2 is a flowchart of a cross-subject identity authentication and data management method of a full-element integrated large token in an embodiment of the present application.

[0020] Reference signs in the above drawings:

[0021] 100: data management system

[0022] 101: identity credential collection unit

[0023] 102: identity abstraction unit

[0024] 103: full-element aggregation unit

[0025] 104: dynamic trust engine

[0026] 105: intelligent service execution unit

[0027] S1-S4: steps DETAILED DESCRIPTION

[0028] In order to better understand the present application, the following embodiments are given in combination with the drawings. It should be understood that the embodiments of the present application are only used to explain the present application but not to limit the present application, and the protection scope of the present application is only limited by the claims of the present application. The embodiments provided by the present application are only some preferred embodiments, and do not limit the present application in any form. Those skilled in the art can make changes, equivalent substitutions or modifications according to the content of the present application to form different embodiments. However, any change and modification of the method of the present application, any equivalent substitution, is within the protection scope of the present application without deviating from the concept of the present application.

[0029] It should be noted that the following detailed description is exemplary in nature and is intended to provide further description of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0030] It should be noted that the terms used herein are only intended to describe specific embodiments and are not intended to limit exemplary embodiments according to the present application. As used herein, the singular form is intended to include the plural form unless the context clearly indicates otherwise, and it should also be understood that when the terms "comprise" and / or "include" are used in the specification, they indicate the presence of the features, steps, operations and / or combinations thereof.

[0031] First, please refer to Figure 1 , Figure 1 is a schematic diagram of a full-element integrated large Token system in an embodiment of the application, as Figure 1 shown, the full-element integrated large Token data management system 100 includes an identity credential collection unit 101, an identification abstraction unit 102, a full-element aggregation unit 103, a dynamic trust engine 104 and an intelligent service execution unit 105.

[0032] The identity credential collection unit 101 is used to obtain an identity from a plurality of heterogeneous social subjects and an associated business data with an authoritative source, the heterogeneous social subjects at least include a natural person unit, a family unit, an economic organization unit, a grassroots governance unit and a public management unit, the identification abstraction unit 102 is used to map the identity to a standardized Token primary key according to the subject type, and structure the associated business data into a corresponding digital asset package, please note that the identification abstraction unit 102 generates a Token primary key using the following mapping rules: for a natural person unit or a family unit, the application uses a mobile phone number or an email address verified by a telecom operator or an email service provider as a Token primary key; for an economic organization unit or a grassroots governance unit, the application uses a unified social credit code and a "enterprise number + enterprise code" combination as a Token primary key; for a public management unit, the application uses a digital certificate serial number issued by a national electronic authentication root CA of a national e-government system as a Token primary key, it is worth noting that the Token primary key is irreversible once generated.

[0033] The full-element aggregation unit 103 is used to encapsulate the digital asset package through a cryptographic aggregation signature mechanism to form a single verifiable large Token data structure, which includes an aggregation proof, a Token primary key, a dynamic trust level, and a timestamp. Note that the digital asset package includes five digital asset packages: individual, family, enterprise, village, and government. The individual package includes identity verification status, financial assets, credit performance records, etc.; the family package includes family member relationship graph, common property list, residence address change, etc.; the enterprise package includes business registration information, tax declaration, intellectual property, supply chain contract, etc.; the village package includes land contract rights, homestead qualification rights, collective economic organization member identity, etc.; the government package includes administrative permission items, supervision and law enforcement logs, public resource allocation data, etc.

[0034] The dynamic trust engine 104 is used to calculate and update the trust level of each subject in real time based on historical behavior, compliance records, and third-party endorsement information, and bind it to the corresponding large Token. In addition, the large Token can be stored in a distributed storage system and support permission control and version backtracking.

[0035] The intelligent service execution unit 105 is used to respond to external business instructions, call the large Token, automatically trigger cross-subject data linkage and rule reasoning, and output structured decision results to realize intelligent services. The intelligent service execution unit 105 realizes intelligent services including one-key statistics, one-key audit, one-key tax reporting / refunding, one-key credit, one-key listing, etc. Among them, the one-key statistics can aggregate economic and social indicators in multiple large Tokens to generate regional operation situation reports; the one-key audit can compare the supervision rules in the government large Token with the operating behavior in the enterprise large Token to identify abnormal patterns; the one-key tax reporting / refunding can integrate income, assets, and transaction data in individual, family, and enterprise large Tokens to automatically generate tax return forms; the one-key credit can fuse performance records, penalty information, and operating status to output dynamic credit scores; the one-key listing can automatically extract equity, financial, and compliance data based on the enterprise large Token to generate a preliminary draft of securities issuance materials within 48 hours.

[0036] Please note that the above large Token is configured to be presented in any of the following forms: a human-readable string encoding, a machine-identifiable two-dimensional code, or an NFC tag. For example, the physical or digital representation of the large Token can be implemented in the form of a JWT (JSON Web Token) encoded in Base64, including a header, a payload, and a digital signature in the form of a string, an SM3 hash value of the large Token encoded into a QR code that triggers a cloud verification process after scanning, an NFC tag form that writes the digest of the large Token into a financial-grade secure chip that meets the ISO / IEC 14443 contactless card standards, supports offline quick verification, or a hardware carrier integrated into a 5G certificate pass super card for securely storing core private keys and performing local signature.

[0037] Please refer to Figure 2 , Figure 2 is a flowchart of the cross-subject identity authentication and data management method based on the full-element integrated large Token in the embodiments of the present application. The cross-subject identity authentication and data management method based on the full-element integrated large Token includes the following steps: S1, obtaining the authoritative identity of a plurality of social subjects and the associated business data; S2, generating an irreversible standardized Token primary key based on the subject type and a preset mapping rule, and constructing a corresponding digital asset package; S3, encapsulating a plurality of digital asset packages into a large Token bound with a dynamic trust level through an aggregated signature; S4, in response to a business instruction, calling the large Token to drive an AI model to perform cross-domain reasoning and output a structured decision result; wherein the large Token is configured to be output in the form of a string, a two-dimensional code, or an NFC tag for users to present in physical or digital scenarios.

[0038] Please note that in an embodiment of the present application, the dynamic trust level is calculated using a weighted time sequence model:

[0039] Trust(t) = a x Recency(t) + β x Authority(t) + γ x Consistency(t) - δ x RiskEvents(t) (Formula 1)

[0040] In the formula, Trust represents the dynamic trust level, t represents time, a, β, γ, and δ are weighting coefficients and a + β + γ + δ = 1, Recency represents the data timeliness weight, Authority represents the source authority, Consistency represents the behavior consistency, and RiskEvents represents the negative event deduction item.

[0041] In another embodiment of the present application, when the above-mentioned large Token is presented in the form of a two-dimensional code, the following process is performed: the user terminal generates a QR code including the hash value of the large Token; after scanning, the verifier sends a verification request to the server; the server queries the integrity of the large Token corresponding to the hash value and the current trust level based on the distributed storage system; if Trust(t) ≥ threshold T and not expired, return "verification passed" and the required field summary, and the original data is not out of chain.

[0042] Note that in the above step S4, when the business instruction involves capital market preparation, the system automatically performs: extracting the shareholder structure, the financial report of the past three years, and the intellectual property list in the enterprise large Token; querying the administrative punishment and compliance status in the government large Token; if Trust(t) ≥ threshold T, activating the AI document generation module, outputting the IPO materials in compliance with the regulatory format.

[0043] In another embodiment of the present application, it also includes an edge-cloud collaborative architecture: the above-mentioned identity credential collection and identification abstraction are completed locally on the user terminal; the aggregation of the above-mentioned large Token, trust evaluation and service execution are completed on the cloud server; the terminal only transmits data summary or hash value to the cloud, and the original sensitive data does not leave the device, ensuring compliance.

[0044] The following embodiments will be described with reference to Figure 1 and Figure 2 .

[0045] Embodiment 1: System initialization and large Token generation

[0046] User Zhang San (natural person) starts the "digital person" App through his smart phone.

[0047] Step S1: The identity credential collection unit 101 obtains its real name mobile phone number "138****1234" from the telecom operator, and its verification email "zhangsan@xxx.com" from the email service provider.

[0048] Step S2: The identification abstraction unit 102 performs SM3 hash algorithm on the mobile phone number to generate Token primary key: TK_Ind_9a3b...

[0049] At the same time, the system constructs a number package, including: ID card status (verified), bank assets (¥500,000), credit record (no overdue).

[0050] Step S3: The all-element aggregation unit 103 aggregates the number package with the family number package of family members (wife, children) to generate a large Token DTK_ZhangSan_v1, including: aggregation proof (zk-SNARKs), Token primary key TK_Ind_9a3b..., dynamic trust level Trust(t)=0.92, and timestamp 2025-11-27T06:00:00Z.

[0051] Step S4: The large Token can be written into a distributed storage system, nodes including China National Data Bureau, People's Bank of China, etc., and users can choose to export the large Token as: a string (JWT format), a two-dimensional code, or write into a 5G certificate collection super card (NFC tag).

[0052] Embodiment 2: One-key tax reporting / refunding

[0053] A certain legal person Li Si initiates a "one-key tax reporting" instruction by scanning the two-dimensional code of the enterprise large Token.

[0054] After receiving the instruction, the intelligent service execution unit 105 automatically calls: enterprise number package (from enterprise large Token), 2024 annual revenue ¥10M, value-added tax ¥600K, and employee social security payment record; number package (from Li Si individual large Token), salary income ¥300K; and family number package, 2 sets of real estate under his name. The system automatically fills in the "Enterprise Income Tax Annual Return Form" and "Individual Income Tax Annual Settlement and Payment Declaration Form", and calculates the refund amount of ¥45,000. After the user confirms, the declaration form is directly connected to the tax bureau system, and the submission is completed within 30 seconds. Compared with the traditional 3-day manual sorting, the present application is completed automatically in 5 minutes.

[0055] Embodiment 3: One-key audit

[0056] The market supervision bureau initiates a compliance audit on a certain food enterprise. The auditor scans the two-dimensional code presented by the enterprise to obtain the hash value H of the large Token.

[0057] The cloud server queries the distributed storage system to confirm that the large Token corresponding to H is valid, and that Trust(t)=0.88≥threshold T=0.85.

[0058] The system automatically compares: the "Food Safety Law" supervision rules in the government number package, the raw material procurement records, production logs, and quality inspection reports in the enterprise number package, and finds that a batch of raw materials has no traceability record. The system marks "abnormal mode" and generates an audit clue report. Compared with the 2-week manual process, the present application is completed in 10 minutes.

[0059] Embodiment 4: One-key credit investigation

[0060] Bank approves small and micro enterprise loans. After the enterprise is authorized, the bank system calls its large Token. The intelligent service execution unit 105 fuses: enterprise number package, good tax record, no tax arrears; government number package, no environmental penalty; individual number package (legal person), personal credit A level; dynamic trust engine 104 calculates Trust(t)=0.91, outputs credit score 865 / 1000. The bank AI model directly approves 50 million "second loan". The present application does not need artificial due diligence, and the loan time is shortened from 3 days to 30 seconds.

[0061] Example 5: One-key statistics

[0062] A province needs to generate "2025 Q3 regional economic operation report". The system aggregates 100,000 enterprise large Tokens and 5 million family large Tokens in the jurisdiction. Extract key indicators: total enterprise revenue, number of employees, R&D investment, etc.; household consumption expenditure, housing transaction volume, etc.; automatically generate visual reports, including GDP forecast, employment trend, consumer confidence index, etc. Compared with the traditional one-month statistics, the present application completes the task in 2 hours.

[0063] Example 6: One-key listing

[0064] A certain technology enterprise plans to go public on the Sci-Tech Innovation Board. The legal person authorizes the "one-key listing" service through the 5G certificate super card. The intelligent service execution unit 105 performs the following operations:

[0065] Step 1, extract from enterprise number package: shareholder register (including variable interest entity (VIE) structure), 2022-2024 audit financial statements, 23 valid invention patents.

[0066] Step 2, query from government number package: no major administrative penalty, high-tech enterprise certification valid.

[0067] Step 3, dynamic trust engine (104) calculates Trust(t)=0.89>0.85, activates AI document module.

[0068] Step 4, AI model automatically generates: prospectus (core technology, financial analysis chapter), recommendation work report (compliance summary) based on the internal structured fields of the large Token.

[0069] The complete set of materials can be delivered to the investment bank team within 48 hours. Compared with the traditional 3 months and 50-person team, the present application completes the initial draft in 2 days by 2 people.

[0070] The full-element integrated large Token data management system and management method of the present application unifies the data of five basic social units of individuals, families, enterprises, rural areas and government affairs into "large Tokens", realizes authoritative, structured and verifiable integrated packaging through aggregated signature, fundamentally solves the core pain points of "identity fragmentation and data fragmentation" in traditional systems. In addition, the large Token has built-in structured fields, pre-defined semantic relationships and machine-readable decision hints, so that the AI large model can complete high-order reasoning without calling external interfaces, significantly reducing the computational complexity and delay, and improving the decision accuracy.

[0071] The above embodiments of the present application can be implemented in various hardware, software coding or combination of both. For example, the embodiments of the present application can also be program codes for executing the above methods in a digital signal processor (DSP). The present application can also involve various functions performed by a computer processor, a digital signal processor, a microprocessor or a field programmable gate array (FPGA). The above processor can be configured to perform specific tasks according to the present application by executing machine-readable software code or firmware code that defines the specific methods disclosed in the present application. The software code or firmware code can be developed in different programming languages and different formats or forms. The software code can also be compiled for different target platforms. However, different code styles, types and languages of software code and other types of configuration code for performing tasks according to the present application do not deviate from the spirit and scope of the present application.

[0072] At this point, those skilled in the art realize that although embodiments of the present application have been fully demonstrated and described herein, many other variations or modifications in accordance with the principles of the present application can be directly determined or deduced from the disclosure of the present application without departing from the spirit and scope of the present application. Therefore, the scope of the present application should be understood and recognized as covering all these other variations or modifications.

Claims

1. A comprehensive, integrated big data management system for tokens, comprising: An identity credential collection unit is used to obtain an identity identifier and related business data from multiple social entities; An identifier abstraction unit is used to map the identity identifier to a standardized token primary key according to the subject type, and to structure the associated business data into a corresponding digital asset package; A full-element aggregation unit is used to aggregate and encapsulate the digital asset package into a single verifiable large token data structure, wherein the large token includes a token primary key and a dynamic trust level. A dynamic trust engine is used to calculate and update the trust level of each entity in real time and bind it to the corresponding large token. An intelligent service execution unit is used to respond to external business instructions and invoke the large Token to implement intelligent services.

2. The all-element integrated big token data management system as described in claim 1, characterized in that, The identifier abstraction unit generates the Token primary key using the following mapping rules: For natural person units or family units, the mobile phone number or email address verified by the telecommunications operator or email service provider will be used as the token primary key; For economic organization units or grassroots governance units, the unified social credit code and the combination of "enterprise number + enterprise code" will be used as the token primary key; For public management units, the digital certificate serial number issued by the National Electronic Certification Root CA of the National E-Government System will be used as the Token primary key; Once the token primary key is generated, the original identity identifier cannot be reversed.

3. The all-element integrated big token data management system as described in claim 1 or 2, characterized in that, The digital asset package includes: The data includes identity verification status, financial assets, and credit performance records; The family data package includes a family member relationship chart, a list of joint assets, and changes in residential address; Enterprise data packages include business registration information, tax declarations, intellectual property rights, and supply chain contracts; The village's data package includes land contracting rights, homestead qualification rights, and membership in the collective economic organization; The government data package includes administrative licensing items, regulatory enforcement logs, and public resource allocation data.

4. The all-element integrated big token data management system as described in claim 1 or 2, characterized in that: The large token is configured as any of the following: string encoding, QR code, or NFC tag.

5. The all-element integrated big token data management system as described in claim 1 or 2, characterized in that, The intelligent services implemented by the intelligent service execution unit include any of the following intelligent services: One-click statistics aggregate economic and social indicators from multiple major tokens to generate a regional operational status report; One-click auditing compares the regulatory rules in the government's big token with the business behavior in the enterprise's big token to identify abnormal patterns; One-click tax filing / refund, integrating income, asset, and transaction data from individual, family, and enterprise tokens to automatically generate tax returns; One-click credit check, integrating performance records, penalty information and business status, to output dynamic credit scores; One-click listing: Automatically extracts equity, financial, and compliance data based on the enterprise's large token to generate a draft of securities issuance materials.

6. A method for cross-entity identity authentication and data management based on a comprehensive, integrated large token, comprising the following steps: S1. Obtain authoritative identity markers and related business data of multiple social entities; S2. Based on the subject type and preset mapping rules, generate an irreversible standardized token primary key and construct the corresponding digital asset package; S3. Encapsulate multiple digital asset packages into a large token bound with a dynamic trust level through aggregated signature; S4. Responding to business instructions, the large token is invoked to drive the AI ​​model to perform cross-domain reasoning and output structured decision results; The large token is configured to be output as a string, QR code, or NFC tag for users to present and use.

7. The cross-entity identity authentication and data management method based on a fully integrated big token as described in claim 6, characterized in that, The dynamic trust level is calculated using a weighted time-series model: Trust(t)=α×Recency(t)+β×Authority(t)+γ×Consistency(t)-δ×RiskEvents(t) In the formula, Trust represents the dynamic trust level, t represents time, α, β, γ, and δ are weighting coefficients and α+β+γ+δ=1, Recency represents the data timeliness weight, Authority represents the source authority, Consistency represents the behavior consistency, and RiskEvents represents the negative event deduction items.

8. The cross-entity identity authentication and data management method based on a fully integrated big token as described in claim 6 or 7, characterized in that, When the large token is presented in the form of a QR code, the following process is executed: The user terminal generates a QR code that includes a large token hash value; After scanning, the verifier sends a verification request to the server; The server queries the integrity and current trust level of the large token corresponding to the hash based on the distributed storage system. If Trust(t) ≥ threshold T and has not expired, return "Verification passed" and the required field summary, and the original data will not be released from the chain.

9. The cross-entity identity authentication and data management method based on a fully integrated big token as described in claim 6 or 7, characterized in that, In step S4, when the business instruction involves capital market preparation, the system executes automatically: Extract the shareholder structure, financial reports for the past three years, and intellectual property list from the enterprise's large token; Query the administrative penalties and compliance status in the government affairs token; If Trust(t) ≥ threshold T, then the AI ​​document generation module is activated to output IPO materials that conform to regulatory formats.

10. The cross-entity identity authentication and data management method based on a fully integrated big token as described in claim 6 or 7, characterized in that: It also includes edge-cloud collaborative architecture; The collection and abstraction of identity credentials are completed locally on the user terminal. The aggregation, trust assessment, and service execution of the large tokens are completed on cloud servers; The terminal only transmits data digests or hash values ​​to the cloud; the original sensitive data does not leave the device.

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