Government affair data management method and system based on AI

Abstract

The invention is suitable for the technical field of data management, and particularly relates to an AI-based government affair data management method and system, and the method comprises the steps: obtaining government affair data, defining a storage position, uploading the government affair data to the storage position, configuring a composition unit of the government affair data, creating a fingerprint number, and storing the fingerprint number in the storage position; wherein the fingerprint number is composed of numbers, the fingerprint number is divided into a plurality of sub-numbers, characters corresponding to the sub-numbers are found in each composition unit and integrated to generate unique identifiers, whether two same unique identifiers exist or not is judged, and if yes, the fingerprint number is corrected. By constructing the comparison identifier, whether the registrant has the calling permission of the target unit or not can be judged, so that private storage and anonymous calling of the government affair data are achieved, meanwhile, the government affair data can be prevented from being tampered in the storage process, and the government affair data management efficiency is further improved.

Description

Technical Field

[0001] The present invention relates to the field of data management technology, and in particular to an AI-based government data management method and system. Background Art

[0002] Government data management refers to the process of unified planning, collection, storage, organization and analysis of various types of data by government departments. Government data involves a large amount of personal information and sensitive data. In order to avoid privacy data leakage, different permissions are usually assigned to visitors based on their roles. By binding permissions to visitor roles, it is ensured that only authorized personnel can access the corresponding government data.

[0003] However, such an approach is usually coarse-grained, and the visitor's permissions are generally for a certain type of data and cannot be specific to each piece of data. This also makes it impossible to flexibly handle the different needs of users with the same role for the same type of data; therefore, "how to refine the calling permissions to the constituent units of government data" is the technical problem that the present invention needs to solve. Summary of the invention

[0004] The purpose of the present invention is to provide an AI-based government data management method and system to solve the problem of "how to refine the calling authority to the component units of government data" raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A government data management method based on AI, the method comprising: Acquire government data, define a storage location, upload the government data to the storage location, configure the constituent units of the government data, create a fingerprint number, wherein the fingerprint number is composed of numbers, divide the fingerprint number into a plurality of sub-numbers, find out the text corresponding to the sub-number in each constituent unit, integrate and generate a unique identifier, determine whether there are two identical unique identifiers, and if so, modify the fingerprint number; Build an AI management platform for government data, identify registrants, create a scope of authority corresponding to the registrants, define the constituent units in the scope of authority as available units, integrate the unique identifiers corresponding to all available units, generate an index library, and establish a corresponding relationship between the registrants and the index library; Receive the data usage requirements uploaded by the registrant, traverse the corresponding component units, and define them as target units. Find the comparison identifier through the fingerprint number, and determine whether the comparison identifier is in the index library. If so, open the call permission of the target unit to the registrant.

[0006] Furthermore, the steps of acquiring government data, defining a storage location, uploading the government data to the storage location, and configuring the constituent units of the government data include: Clustering the government data into several categories, wherein the categories at least include: a sensitive data category, a general data category, and a public data category; The government data is stored in a hierarchical manner, and verification rules are embedded in the storage locations.

[0007] Furthermore, the step of creating a fingerprint number includes: Selecting an administrator from the registrants and issuing editing authority of the fingerprint number to the administrator; A hash function is constructed to hash the fingerprint number to generate a hash value, and the hash value is sent to all storage locations in parallel.

[0008] Furthermore, the steps of constructing an AI management platform for government data, identifying registrants, and creating a scope of authority corresponding to the registrants include: Classifying the registrants into a number of roles, wherein the roles at least include: ordinary users and managers; The pre-built permission allocation rules are triggered to divide the permission range of each ordinary user and open the adjustment permission to the manager.

[0009] Furthermore, the steps of defining the constituent units in the scope of authority as available units, integrating the unique identifiers corresponding to all available units, generating an index library, and establishing a corresponding relationship between the registrant and the index library include: Create a data call log and calculate the call frequency of each component unit; The unique identifiers are sorted in descending order of the calling frequency of the available units to obtain an index library.

[0010] Furthermore, the step of determining whether the comparison identifier is in the index library, and if so, opening the calling permission of the target unit to the registrant includes: Identify the login environment of the registrant and configure influencing factors, wherein the influencing factors at least include: device information and IP address; Determine whether there are abnormal features in the influencing factors, and if not, open the index library.

[0011] Furthermore, the method further comprises: Divide the calling permission into at least a review item, an adjustment item and a deletion item; A mapping between the index library and the calling permission is established, the index library where the comparison identifier is located is defined as the target library, and based on the mapping, the calling permission corresponding to the target library is defined as an available permission and issued to the registrant.

[0012] Furthermore, the system comprises: A correction module is used to obtain government data, define a storage location, upload the government data to the storage location, configure the component units of the government data, create a fingerprint number, wherein the fingerprint number is composed of numbers, divide the fingerprint number into a plurality of sub-numbers, find out the text corresponding to the sub-number in each component unit, integrate and generate a unique identifier, determine whether there are two identical unique identifiers, and if so, correct the fingerprint number; Establish a module for building an AI management platform for government data, identify registrants, create a scope of authority corresponding to the registrants, define the constituent units in the scope of authority as available units, integrate the unique identifiers corresponding to all available units, generate an index library, and establish a corresponding relationship between the registrants and the index library; The judgment module is used to receive the data usage requirements uploaded by the registrant, traverse the corresponding component units, and define them as target units. Through the fingerprint number, the comparison identifier is found, and it is determined whether the comparison identifier is in the index library. If so, the calling permission of the target unit is opened to the registrant.

[0013] Furthermore, the correction module includes: A clustering unit, used for clustering the government data into a plurality of categories, wherein the categories at least include: a sensitive data category, a general data category, and a public data category; An embedding unit, used for storing the government data in a hierarchical manner and embedding verification rules into the storage location; The issuing unit is used to select a manager from the registrants and issue the editing authority of the fingerprint number to the manager; The hash unit is used to construct a hash function, hash the fingerprint number, generate a hash value, and send the hash value to all storage locations in parallel.

[0014] Furthermore, the establishment module includes: A classification unit, used for classifying the registrant into a plurality of roles, wherein the roles at least include: a common user and an administrator; A trigger unit is used to trigger the pre-built permission allocation rules, divide the permission range of each ordinary user, and open the adjustment permission to the manager; The calculation unit is used to create a data call log and calculate the call frequency of each component unit; The sorting unit is used to sort the unique identifiers in descending order of the calling frequency of the available units to obtain an index library.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By creating fingerprint numbers, it is possible to optimize government authority management and grant different access rights to different data units, greatly improving the security of government data. By generating unique identifiers, government data can be stored privately, effectively preventing government data leakage and further improving storage security. By building an index library, it is possible to determine the component units that each registrant can call, refine the calling rights, and greatly improve the management efficiency of government data. By building a comparison identifier, it is possible to determine whether the registrant has the calling right of the target unit, thereby achieving authorized access to government data. At the same time, it can also prevent government data from being tampered with during the storage process, further improving the management efficiency of government data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of an AI-based government data management method provided in an embodiment of the present invention; Figure 2 A first sub-process flowchart of the AI-based government data management method provided in an embodiment of the present invention; Figure 3 A second sub-process flowchart of the AI-based government data management method provided in an embodiment of the present invention; Figure 4 A third sub-process flowchart of the AI-based government data management method provided in an embodiment of the present invention; Figure 5 A block diagram of the composition of the AI-based government data management system provided in an embodiment of the present invention; Figure 6 A block diagram of the composition of the correction module in the AI-based government data management system provided in an embodiment of the present invention; Figure 7 A block diagram of the components of the establishment module in the AI-based government data management system provided by an embodiment of the present invention; Figure 8 A block diagram of the composition of the judgment module in the AI-based government data management system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In Example 1, Figure 1The implementation process of the AI-based government affairs data management method provided by the embodiments of the present invention is shown below and will be described in detail as follows: S100: Obtain government affairs data, define the storage location, upload the government affairs data to the storage location, configure the constituent units of the government affairs data, create a fingerprint number, where the fingerprint number is composed of numbers, divide the fingerprint number into several sub-numbers, in each constituent unit, find the text corresponding to the sub-number, and integrate and generate a unique identifier, and determine whether there are two identical unique identifiers. If so, correct the fingerprint number.

[0019] Determine the government affairs data that needs to be managed. The government affairs data can be public service data (such as resident identity information, enterprise registration information, and public facility data, etc.), or government affairs office data (such as government official documents and financial and budget data, etc.); according to factors such as the category, sensitivity level, and access frequency of the government affairs data, determine a suitable storage location, such as: local server, government affairs cloud platform, distributed storage system, and dedicated database, etc., and upload the government affairs data to the corresponding storage location; determine the constituent units of each government affairs data. For example, the constituent unit can be the ID numbers of users in Group A who handle a certain government service (the ID numbers of multiple users), the monthly financial statements of Company B, or the production data of Company C in the previous year, etc.; further, the constituent unit can be a document, a report, or a graph, etc.; create a fingerprint number composed of several numbers, where the fingerprint number is formulated by the administrator of the AI management platform, and according to a fixed length or specific rule, divide the fingerprint number into several sub-numbers so that it can be stored separately and used for data reorganization and verification.

[0020] For example, assume the fingerprint number is 021573112193. According to the rule of transitioning from two digits to three digits, divide the fingerprint number to obtain five sub-numbers: 02, 15, 73, 112, and 193.

[0021] Find the text corresponding to the sub-number from each constituent unit, and integrate to obtain a unique identifier, and associate and store the unique identifier with the original government affairs data.

[0022] Continuing with the above-mentioned constituent units of the three government affairs data of A, B, and C as an example, find the 2nd, 15th, 73rd, 112th, and 193rd characters in A, assuming they are "5, of, body, 1, and 9", then the unique identifier corresponding to A is "5-of-body-1-9"; using this method, continue to determine the unique identifiers corresponding to B and C; however, there is also a possibility that the unique identifier of a certain constituent unit X is also "5-of-body-1-9"; at this time, the number of digits of the fingerprint number should be increased, the number of sub-numbers should be increased, and the length of the unique identifier should be increased.

[0023] S200: Build an AI management platform for government data, identify registrants, create a scope of authority corresponding to the registrants, define the constituent units in the scope of authority as available units, integrate the unique identifiers corresponding to all available units, generate an index library, and establish a corresponding relationship between the registrants and the index library.

[0024] AI technology (such as natural language processing and data mining) is used to build an AI management platform, which can store, process, analyze and manage the authority of government data, and can also integrate government data of different formats and sources into a unified data structure to facilitate the extraction of unique identifiers. In the AI ​​management platform, a user registration and authentication mechanism is established to identify the registrants through ID card information, face recognition, fingerprint verification and digital certificates, and create a unique identity for each registrant. It should be noted that the registrants are users of government data, such as grassroots staff of a department or section and persons in charge of a certain matter. According to the identity and department of each registrant, the scope of government data that can be called is determined, that is, the scope of authority, where the scope of authority should be accurate to specific components. For example, both are grassroots staff of the Social Assistance Section of the Civil Affairs Department. A can call B's monthly financial statements in the above example, but B cannot. The advantage of doing so is that the authority management of government data can be refined to reduce the risk of data leakage.

[0025] The component units that can be called by the registrant are defined as available units, and the unique identifiers of all available units are integrated to obtain an index library, in which each registrant corresponds to an index library; government data should be stored on a dedicated server or government cloud platform (storage location), and the index library can be stored in the terminal device corresponding to the registrant, such as a work computer.

[0026] Continuing to elaborate on the example in S100 above, assuming that A can call A and B, and B can call A and C (the specific authority allocation is determined by the administrator of the AI ​​management platform), the unique identifiers corresponding to A and B are integrated to generate the index library corresponding to A. Similarly, the unique identifiers corresponding to A and C are used to generate the index library corresponding to B.

[0027] S300: receiving the data usage requirements uploaded by the registrant, traversing the corresponding component units and defining them as target units, finding the comparison identifier through the fingerprint number, and determining whether the comparison identifier is in the index library. If so, opening the use rights of the target unit to the registrant.

[0028] When the registrant needs to use certain government data, he / she submits the data usage requirements to the AI ​​management platform and defines the component unit that the registrant needs to use as the target unit. Using the fingerprint number, the comparison identifier is extracted from the target unit to determine whether there is a unique identifier in the index library corresponding to the registrant that is the same as the comparison identifier. If so, it means that the registrant has the right to call the target unit, and it can also mean that the target unit stored in the server or government cloud platform has not been tampered with. If the unique identifiers in the index library are different from the comparison identifiers, it means that the registrant has no right to call the target unit, or the target unit has been tampered with during the storage process.

[0029] In Example 2, Figure 2 The implementation process of the AI-based government data management method provided by an embodiment of the present invention is shown. The steps of obtaining government data, defining a storage location, uploading the government data to the storage location, and configuring the constituent units of the government data are described in detail as follows: S101: Clustering the government data into several categories, wherein the categories at least include: a sensitive data category, a general data category, and a public data category.

[0030] Government data is divided into several categories, such as sensitive data, general data and public data.

[0031] S102: The government data is stored in a hierarchical manner, and verification rules are embedded into the storage locations.

[0032] Government data of different categories are stored in multiple storage locations respectively, and verification rules are embedded in the storage locations corresponding to sensitive data. The verification rules can be face recognition or account and password verification, etc.

[0033] In Example 3, Figure 2 The implementation process of the AI-based government data management method provided by an embodiment of the present invention is shown. The steps of creating the fingerprint number are described in detail as follows: S103: Selecting a manager from the registrants, and issuing the editing authority of the fingerprint number to the manager.

[0034] From the registrants, select the administrator, who is also the administrator of the AI ​​management platform; the fingerprint number is determined by the administrator.

[0035] S104: construct a hash function, hash the fingerprint number, generate a hash value, and send the hash value to all storage locations in parallel.

[0036] The fingerprint number is hashed using a hash algorithm in the prior art, such as SHA-256 or SM3, and the obtained hash value is sent to all storage locations respectively, thereby realizing distributed storage of the fingerprint number and preventing the fingerprint number from being tampered with.

[0037] In Example 4, Figure 3 The implementation process of the AI-based government data management method provided by an embodiment of the present invention is shown. The steps of building an AI management platform for government data, identifying registrants, and creating a scope of authority corresponding to the registrants are described in detail as follows: S201: Classify the registrants into several roles, wherein the roles at least include: common users and managers.

[0038] Registrants are divided into ordinary users and managers.

[0039] S202: triggering the pre-built permission allocation rules, dividing the permission range of each ordinary user, and opening the adjustment permission to the manager.

[0040] The authority scope of each ordinary user is determined according to the authority allocation rules, where the authority allocation rules are: the authority is allocated by the manager of the department to which each ordinary user belongs; on the other hand, when the responsibilities of an ordinary user change, the manager can modify the access scope to ensure that the authority allocation always matches the responsibilities of the ordinary user.

[0041] In Example 5, Figure 3 The implementation process of the AI-based government data management method provided by an embodiment of the present invention is shown. The steps of defining the constituent units in the scope of authority as available units, integrating the unique identifiers corresponding to all available units, generating an index library, and establishing a corresponding relationship between the registrant and the index library are described in detail as follows: S203: Create a data call log and calculate the call frequency of each component unit.

[0042] Each data access, request or operation of an ordinary user is recorded to generate a data call log, which includes but is not limited to the caller information, call time, requested data unit and access type (such as query, update, delete, etc.); the call frequency of each component unit is calculated using the data call log; the higher the call frequency, the more frequently the component unit is called.

[0043] S204: Sort the unique identifiers in descending order of the calling frequency of the available units to obtain an index library.

[0044] A correspondence between available units, call frequencies and unique identifiers is established. The higher the call frequency of an available unit, the higher the ranking of the corresponding unique identifier. All unique identifiers are sorted and integrated to generate an index library.

[0045] In Example 6, Figure 4 The implementation process of the AI-based government data management method provided by an embodiment of the present invention is shown. The following is a detailed description of the steps of determining whether the comparison identifier is in the index library, and if so, opening the use rights of the target unit to the registrant, as follows: S301: Identify the login environment of the registrant and configure influencing factors, wherein the influencing factors at least include: device information and IP address.

[0046] The login environment of the registrant is determined through the login request of the registrant, where the login environment is information related to the registrant's login; the influencing factors are extracted from the login environment, where the influencing factors mainly include device information and IP address; further, the device information includes device type (such as mobile phone, computer, tablet, etc.), operating system version, browser type and device identifier (such as IMEI or device ID), etc.

[0047] S302: Determine whether there are abnormal features in the influencing factors, and if not, open the index library.

[0048] Determine whether there are abnormal features in the influencing factors, where the abnormal features can be drastic fluctuations in IP addresses or changes in commonly used login devices. If there are abnormal features in the influencing factors, it means that there may be a risk of leakage of government data, so the index library will be closed, the comparison identifier will no longer be processed, and the issuance of usage permissions will stop. If there are no abnormal features, the index library will be opened.

[0049] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes: Divide the usage rights into at least a review item, an adjustment item, and a deletion item; A mapping between the index library and the usage rights is established, the index library where the comparison identifier is located is defined as the target library, and based on the mapping, the usage rights corresponding to the target library are defined as available rights and issued to the registrant.

[0050] The registrants' usage rights are refined to enable review, adjustment and deletion, etc. Different registrants may have different usage rights for the same component unit. Each usage right corresponds to an index library. The advantage of this is that it can achieve refined management of usage rights.

[0051] Continuing to elaborate on the example in S200, A and B respectively correspond to a search index library, an adjustment index library and a deletion index library, each index library stores a different unique identifier. Assume that the unique identifier H is stored in A's adjustment index library, which means that A can adjust the component unit corresponding to H, and the adjustment includes: editing and format modification, etc.; the advantage of this is that the index library can be used to determine the different usage rights of different registrants to the component unit, which can not only refine the scope of the registrant's authority, but also refine the authority type.

[0052] Figure 5 The structure diagram of the composition of the AI-based government data management system provided by an embodiment of the present invention is shown. The AI-based government data management system 1 includes: The correction module 11 is used to obtain government data, define a storage location, upload the government data to the storage location, configure the component units of the government data, create a fingerprint number, wherein the fingerprint number is composed of numbers, divide the fingerprint number into a number of sub-numbers, find the text corresponding to the sub-number in each component unit, and integrate to generate a unique identifier, determine whether there are two identical unique identifiers, and if so, correct the fingerprint number; Establishing module 12, for building an AI management platform for government data, identifying registrants, creating a scope of authority corresponding to the registrants, defining the constituent units in the scope of authority as available units, integrating the unique identifiers corresponding to all available units, generating an index library, and establishing a corresponding relationship between the registrants and the index library; The judgment module 13 is used to receive the data usage requirements uploaded by the registrant, traverse the corresponding component units, and define them as target units. Through the fingerprint number, find the comparison identifier and judge whether the comparison identifier is in the index library. If so, open the use rights of the target unit to the registrant.

[0053] Figure 6 The structure diagram of the AI-based government data management system provided by an embodiment of the present invention is shown, and the correction module 11 includes: A clustering unit 111, configured to cluster the government data into a plurality of categories, wherein the categories at least include: a sensitive data category, a common data category, and a public data category; An embedding unit 112, used for storing the government data in a hierarchical manner and embedding verification rules into the storage location; The issuing unit 113 is used to select a manager from the registrants and issue the editing authority of the fingerprint number to the manager; The hash unit 114 is used to construct a hash function, hash the fingerprint number, generate a hash value, and send the hash value to all storage locations in parallel.

[0054] Figure 7 The structure diagram of the AI-based government data management system provided by an embodiment of the present invention is shown, and the establishment module 12 includes: The classification unit 121 is used to classify the registrant into a plurality of roles, wherein the roles at least include: a common user and an administrator; A trigger unit 122 is used to trigger the pre-built permission allocation rules, divide the permission range of each ordinary user, and open the adjustment permission to the manager; The calculation unit 123 is used to create a data call log and calculate the call frequency of each component unit; The sorting unit 124 is used to sort the unique identifiers in descending order of the calling frequency of the available units to obtain an index library.

[0055] Figure 8 The structure diagram of the AI-based government data management system provided by the embodiment of the present invention is shown, and the judgment module 13 includes: The configuration unit 131 is used to identify the login environment of the registrant and configure influencing factors, wherein the influencing factors at least include: device information and IP address; The opening unit 132 is used to determine whether there are abnormal features in the influencing factors, and if not, open the index library.

[0056] The correction module 11 is mainly used to complete step S100, the establishment module 12 is mainly used to complete step S200, and the judgment module 13 is mainly used to complete step S300; The clustering unit 111 is mainly used to complete step S101, the embedding unit 112 is mainly used to complete step S102, the sending unit 113 is mainly used to complete step S103, and the hash unit 114 is mainly used to complete step S104; The classification unit 121 is mainly used to complete step S201, the trigger unit 122 is mainly used to complete step S202, the calculation unit 123 is mainly used to complete step S203, and the sorting unit 124 is mainly used to complete step S204; The configuration unit 131 is mainly used to complete step S301, and the opening unit 132 is mainly used to complete step S302.

[0057] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0058] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0059] 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 government data management method based on AI, characterized in that: The method comprises: Acquire government data, define a storage location, upload the government data to the storage location, configure the constituent units of the government data, create a fingerprint number, wherein the fingerprint number is composed of numbers, divide the fingerprint number into a plurality of sub-numbers, find out the text corresponding to the sub-number in each constituent unit, integrate and generate a unique identifier, determine whether there are two identical unique identifiers, and if so, modify the fingerprint number; Build an AI management platform for government data, identify registrants, create a scope of authority corresponding to the registrants, define the constituent units in the scope of authority as available units, integrate the unique identifiers corresponding to all available units, generate an index library, and establish a corresponding relationship between the registrants and the index library; Receive the data usage requirements uploaded by the registrant, traverse the corresponding component units, and define them as target units. Find the comparison identifier through the fingerprint number, and determine whether the comparison identifier is in the index library. If so, open the call permission of the target unit to the registrant.

2. The AI-based government data management method according to claim 1, characterized in that: The steps of acquiring government data, defining a storage location, uploading the government data to the storage location, and configuring the constituent units of the government data include: Clustering the government data into several categories, wherein the categories at least include: a sensitive data category, a general data category, and a public data category; The government data is stored in a hierarchical manner, and verification rules are embedded in the storage locations.

3. The AI-based government data management method according to claim 2 is characterized in that: The step of creating a fingerprint number comprises: Selecting an administrator from the registrants and issuing editing authority of the fingerprint number to the administrator; A hash function is constructed to hash the fingerprint number to generate a hash value, and the hash value is sent to all storage locations in parallel.

4. The AI-based government data management method according to claim 3 is characterized in that: The steps of constructing an AI management platform for government data, identifying registrants, and creating authority scopes corresponding to the registrants include: Classifying the registrants into a number of roles, wherein the roles at least include: ordinary users and managers; The pre-built permission allocation rules are triggered to divide the permission range of each ordinary user and open the adjustment permission to the manager.

5. The AI-based government data management method according to claim 1, characterized in that: The steps of defining the constituent units in the scope of authority as available units, integrating the unique identifiers corresponding to all available units, generating an index library, and establishing a corresponding relationship between the registrant and the index library include: Create a data call log and calculate the call frequency of each component unit; The unique identifiers are sorted in descending order of the calling frequency of the available units to obtain an index library.

6. The AI-based government data management method according to claim 5 is characterized in that: The step of determining whether the comparison identifier is in the index library, and if so, opening the calling permission of the target unit to the registrant comprises: Identify the login environment of the registrant and configure influencing factors, wherein the influencing factors at least include: device information and IP address; Determine whether there are abnormal features in the influencing factors, and if not, open the index library.

7. The AI-based government data management method according to claim 1, characterized in that: The method further comprises: Divide the calling permission into at least a review item, an adjustment item and a deletion item; A mapping between the index library and the calling permission is established, the index library where the comparison identifier is located is defined as the target library, and based on the mapping, the calling permission corresponding to the target library is defined as an available permission and issued to the registrant.

8. An AI-based government data management system, characterized in that: The system comprises: A correction module is used to obtain government data, define a storage location, upload the government data to the storage location, configure the component units of the government data, create a fingerprint number, wherein the fingerprint number is composed of numbers, divide the fingerprint number into a plurality of sub-numbers, find out the text corresponding to the sub-number in each component unit, integrate and generate a unique identifier, determine whether there are two identical unique identifiers, and if so, correct the fingerprint number; Establish a module for building an AI management platform for government data, identify registrants, create a scope of authority corresponding to the registrants, define the constituent units in the scope of authority as available units, integrate the unique identifiers corresponding to all available units, generate an index library, and establish a corresponding relationship between the registrants and the index library; The judgment module is used to receive the data usage requirements uploaded by the registrant, traverse the corresponding component units, and define them as target units. Through the fingerprint number, the comparison identifier is found, and it is determined whether the comparison identifier is in the index library. If so, the calling permission of the target unit is opened to the registrant.

9. The AI-based government data management system according to claim 8, characterized in that: The correction module comprises: A clustering unit, used for clustering the government data into a plurality of categories, wherein the categories at least include: a sensitive data category, a general data category, and a public data category; An embedding unit, used for storing the government data in a hierarchical manner and embedding verification rules into the storage location; The issuing unit is used to select a manager from the registrants and issue the editing authority of the fingerprint number to the manager; The hash unit is used to construct a hash function, hash the fingerprint number, generate a hash value, and send the hash value to all storage locations in parallel.

10. The AI-based government data management system according to claim 9, characterized in that: The establishment module includes: A classification unit, used for classifying the registrant into a plurality of roles, wherein the roles at least include: a common user and an administrator; A trigger unit is used to trigger the pre-built permission allocation rules, divide the permission range of each ordinary user, and open the adjustment permission to the manager; The calculation unit is used to create a data call log and calculate the call frequency of each component unit; The sorting unit is used to sort the unique identifiers in descending order of the calling frequency of the available units to obtain an index library.

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