CN115729994B - Integrated big data application method for public data development and utilization - Google Patents
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Abstract
The invention discloses an integrated big data application system and method for public data development and utilization, and relates to the technical field of big data development. The system comprises a government affair extranet regional platform and an Internet regional platform; the government external network area platform and the Internet area convergence platform are respectively deployed in the government external network area and the Internet area by adopting loose coupling architecture, and complete paths of public data from original data to data resources, forming data assets and finally realizing data value are realized by integrating data convergence sharing, data storage, data management analysis, data development, multiparty security calculation, block chains, data opening, data validation, personal authorization, data transaction and other platforms. According to the integrated big data application system and method for public data development and utilization, the public data and the social data are effectively gathered, managed and applied and developed through deployment in the government external network area and the Internet area respectively.
Description
Technical Field
The invention relates to the technical field of big data development, in particular to an integrated big data application method for public data development and utilization.
Background
The informatization and big data of China are in the world leading level in the government application field, but at present, all levels of governments in China are in the exploration and test points of the development and utilization of public data, an integrated big data application system is not formed yet to realize the whole process of the public data from the aggregate storage, the processing management, the exchange sharing, the development opening, the capitalization and the transaction. Therefore, there are mainly the following objective problems: 1. the provincial data management level is weak, the phenomenon of data fragmentation and dispersion management is common, and the unified management mechanism and technical standard still belong to the blank; 2. the business units respectively and repeatedly build the software platform in each link of data development and utilization, and the distributed computing storage resources have low utilization rate and serious waste; 3. the public data development and utilization have broken files, and only the convergence, shared exchange and simple data opening of the public data are realized in some places, so that the public data value cannot be further exerted; 4. the public data has objective problems of privacy protection, data safety and the like, so that government affair data and social data are fused, the collision effect is not obvious, the public data is low in open quality and insufficient in integrity, and a great gap exists between the public data and the market target of data elements.
Disclosure of Invention
The invention aims to solve the technical problem of providing an integrated big data application system and method for public data development and utilization, which are used for effectively converging, managing and applying development of public data and social data by being deployed in a government external network area and an Internet area respectively.
In a first aspect, the present invention provides an integrated big data application system for development and utilization of public data, including: the government affair external network regional platform and the Internet regional platform are respectively deployed in the government affair external network region and the Internet region by adopting a loose coupling architecture;
the government affairs extranet region platform comprises:
the data convergence sharing platform is used for comprehensively collecting data of the e-government external network area;
the first data lake is connected with the data aggregation sharing platform and is used for providing large-scale centralized storage, full life cycle data management, preprocessing and government affair data sharing capability after the unified aggregation of the multi-element data and storage services of archives and source codes;
the first data resource center is connected with the first data lake and is used for synchronizing data from the data lake and then carrying out data management, data analysis and data development;
the first data right-determining management platform is connected with the first data lake and is used for auditing legal compliance of data according to a data right-determining basic framework, and auditing and registering authentication are carried out on a data production processing service main body, a data circulation process and application rules; based on the blockchain technology, through the authorization, application and use mechanism, the data is ensured to be available to an authorized party, the data verification logic is put into a blockchain intelligent contract, and through the distributed identity of the blockchain, people, systems and data participating in the intelligent contract have corresponding identities and digital certificates, and the whole process is traceable and non-repudiation;
the Internet area platform comprises:
the data convergence platform is used for comprehensively collecting data of the Internet public network area;
the second data lake is deployed with the first data lake by adopting a loose coupling architecture and is connected with the data convergence platform;
the second data resource center is deployed with the first data resource center by adopting a loose coupling architecture and is connected with the second data lake;
the second data right-confirming management platform is deployed by adopting a loose coupling architecture and is connected with the second data lake;
the data transaction center is connected with the second data resource center and is used for providing data transaction, fund settlement, wind control management, transaction supervision and application environment service;
the multi-party trusted security computing platform is connected with the first data resource center, the second data resource center and the data transaction center and is used for performing trusted privacy computation on the first data resource center and the second data resource center, ensuring that a data user of the data transaction center cannot touch plaintext data when using the data, performing computation and application after encrypting the data in a trusted environment, realizing that the data is available and invisible, not transferring the control right of data value transfer, realizing that the data in data exchange sharing can be traced, ensuring the data security when business data is shared outwards, and performing computation, sharing and transaction on sensitive data on the premise that the data is available and invisible when realizing social open sharing of public data.
Further, the system further comprises: and the personal data authorization platform is used for displaying the personal data in a desensitization mode when the data user acquires the personal data from the data transaction center, and the personal data can be normally displayed after the personal data authorization platform is authorized by the corresponding person.
Furthermore, the first data lake and the second data lake design heat, temperature and cold data heat storage areas according to the data use frequency plan, the data collected into the data lake are stored in a partitioning mode according to the data heat, and migration adjustment is carried out according to the data heat change in the operation process of the data lake.
Further, the trusted privacy computing technology includes through homomorphic encryption, federal learning technology, and secure trusted execution environment technology.
In a second aspect, the present invention provides an integrated big data application method for development and utilization of public data, and the system of the first aspect needs to be provided, where the method includes:
step 10, comprehensively accessing service systems of departments in each city to a data aggregation sharing platform, comprehensively acquiring data by utilizing links of the aggregation sharing platform in each e-government affair external network area, intensively storing the data in a full amount in a data lake, and preprocessing;
step 20, providing large-scale centralized storage, full life cycle data management, preprocessing and government affair data sharing capability and archives and source code storage services after unified aggregation of the multi-element data through the first data lake and the second data lake;
step 30, according to the data application requirements, carrying out data management, data analysis and data development on synchronous related original data in a first data lake and a second data lake respectively through a first data resource center and a second data resource center, and directly accessing real-time data from a data convergence sharing platform and a data convergence platform respectively;
step 40, performing right relation combing and right registration on the data resource catalogs established by the first data lake and the second data lake to realize the right management of the data; the platform is based on a blockchain technology, solves the trust crisis of a plurality of participants such as data provision, data management, data sharing, data use and the like, ensures that the data can be used by an authorized party through an authorization, application and use mechanism, puts data verification logic into a blockchain intelligent contract, and enables people, systems and data participated in the intelligent contract to have corresponding identities and digital certificates through the distributed identities of the blockchain, so that the whole process is traceable and non-repudiation;
step 50, performing trusted privacy calculation, ensuring that a data user of a data transaction center cannot contact plaintext data when using the data, performing calculation and application after encrypting the data in a trusted environment, realizing that the data is available and invisible, and the data value transfer control right is not transferred, realizing data traceability in data exchange sharing, and ensuring data security when service data is shared outwards;
step 60, providing data transaction, fund settlement, wind control management, transaction supervision and application environment service through a data transaction center; and the data of the government external network area platform are shared with the convergence sharing platform through the first data lake in the government external network area.
Further, the method further comprises: and the data sharing system is connected with the data convergence sharing platform and the first data lake to realize the internal data sharing of the government affair system, is used for the data sharing exchange of each region, each department and each level, accelerates the data flow and activates the data asset.
Further, the method further comprises: when data of a government affair external network area platform is opened to an Internet area for social development and utilization or transaction, sensitive privacy data can be invisible through a privacy computing technology, and the sensitive privacy data can be used and transacted; when the data user obtains personal data from the data transaction center, the personal data is displayed in a desensitization mode, and the personal data can be normally displayed after the personal data is authorized by the corresponding personal data authorization platform.
Furthermore, the first data lake and the second data lake design heat, temperature and cold data heat storage areas according to the data use frequency plan, the data collected into the data lake are stored in a partitioning mode according to the data heat, and migration adjustment is carried out according to the data heat change in the operation process of the data lake.
Further, the trusted privacy computing technology includes through homomorphic encryption, federal learning technology, and secure trusted execution environment technology.
The technical scheme provided by the embodiment of the invention has at least the following technical effects:
the integrated big data development application system architecture is adopted to realize intensive high-efficiency, safe and reliable, open and compatible data development and utilization, and can effectively promote multi-element aggregation, high-efficiency storage, high-quality management, deep fusion, effective sharing, ordered opening, compliance circulation and rich application among public data in various fields. By adopting the unified multi-tenant data lake, each business unit only distributes the resources required by data management according to the needs, and the utilization rate of the resources is greatly improved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
The invention will be further described with reference to examples of embodiments with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a system according to an embodiment of the present invention.
Detailed Description
The integrated big data application system and the method for the public data development and utilization are provided, and are deployed in a government external network area and an Internet area respectively, so that the public data and the social data are effectively gathered, managed and applied and developed.
The technical scheme in the embodiment of the invention has the following overall thought:
based on the existing public data development and utilization degree, a large data development and application system architecture aiming at provincial domain integration does not exist at present, and the embodiment of the invention discloses an integrated large data application system and method for public data development and utilization, which integrate platforms such as data convergence sharing, data storage, data management analysis, data development, multiparty security calculation, blockchain, data opening, data validation, personal authorization, data transaction and the like, realize the complete path of public data from original data to data resources, then to data assets, and finally realize data value.
Example 1
The embodiment provides an integrated big data application system for development and utilization of public data, as shown in fig. 1, including: the government affair external network regional platform and the Internet regional platform are respectively deployed in the government affair external network region and the Internet region by adopting a loose coupling architecture;
the government affairs extranet region platform comprises:
the data aggregation sharing platform is used for comprehensively acquiring data of the electronic government external network areas and comprehensively acquiring the data in the government informatization system through links of the electronic government external network areas;
the first data lake is connected with the data aggregation sharing platform and is used for providing large-scale centralized storage, full life cycle data management, preprocessing and government affair data sharing capability after the unified aggregation of the multi-element data and storage services of archives and source codes; the data sharing in the government affair system is realized by being connected with the data convergence sharing platform and the first data lake, and the data sharing platform is used for sharing and exchanging data in each region, each department and each level, accelerating data flow and activating data assets;
the first data resource center is connected with the first data lake and is used for synchronizing data from the data lake and then carrying out data management, data analysis and data development;
the first data right-determining management platform is connected with the first data lake and is used for auditing legal compliance of data according to a data right-determining basic framework, and auditing and registering authentication are carried out on a data production processing service main body, a data circulation process and application rules; based on the blockchain technology, through strict authority, authorization, application and use mechanisms, the data can be ensured to be used by an authorized party, data verification logic is put into a blockchain intelligent contract, and people, systems and data participated in the intelligent contract have corresponding identities and digital certificates through the distributed identities of the blockchain, so that the whole process is traceable and non-repudiation;
the Internet area platform comprises:
the data convergence platform is used for comprehensively collecting data of the Internet public network area;
the second data lake is deployed with the first data lake by adopting a loose coupling architecture and is connected with the data convergence platform;
the second data resource center is deployed with the first data resource center by adopting a loose coupling architecture and is connected with the second data lake; the data resource center platform realizes the functions of data development, algorithm development, data service, visualization and the like, and corresponding operation environments, so that the data requirements of users are met;
the second data right-confirming management platform is deployed by adopting a loose coupling architecture and is connected with the second data lake;
the data transaction center is connected with the second data resource center and is used for providing data transaction, fund settlement, wind control management, transaction supervision and application environment service;
the multi-party trusted security computing platform is connected with the first data resource center, the second data resource center and the data transaction center and is used for performing trusted privacy computation on the first data resource center and the second data resource center (trusted privacy computing technology can comprise homomorphic encryption, federal learning technology, safe trusted execution environment technology and the like), so that a data user of the data transaction center cannot contact plaintext data when using the data, the data is computed and applied after being encrypted in the trusted environment, the data can be used invisibly, the data value transfer control right is not transferred, the data traceability in data exchange sharing is achieved, and the data security in external sharing of service data is ensured.
In one possible implementation, the system further includes: and the personal data authorization platform is used for displaying the personal data in a desensitization mode when the data user acquires the personal data from the data transaction center, and the personal data can be normally displayed after the personal data authorization platform is authorized by the corresponding person.
In one possible implementation manner, the first data lake and the second data lake design heat, temperature and cold data heat storage areas according to the data use frequency plan, the data collected into the data lake are stored in a partition mode according to the data heat, and migration adjustment is carried out according to the change of the data heat in the operation process of the data lake, so that the data with higher use frequency can be obtained more quickly.
Based on the same inventive concept, the present application also provides a method corresponding to the system in the first embodiment, and details of the method are described in the second embodiment.
Example two
In this embodiment, an integrated big data application method for development and utilization of public data is provided, and the system described in the first embodiment is required to be provided, where the method includes:
step 10, comprehensively accessing service systems of departments in each city to a data aggregation sharing platform, comprehensively acquiring data by utilizing links of the aggregation sharing platform in each e-government affair external network area, intensively storing the data in a full amount in a data lake, and preprocessing;
step 20, providing large-scale centralized storage, full life cycle data management, preprocessing and government affair data sharing capability and archives and source code storage services after unified aggregation of the multi-element data through the first data lake and the second data lake;
step 30, according to the data application requirements, carrying out data management, data analysis and data development on synchronous related original data in a first data lake and a second data lake respectively through a first data resource center and a second data resource center, and directly accessing real-time data from a data convergence sharing platform and a data convergence platform respectively;
step 40, performing right relation combing and right registration on the data resource catalogs established by the first data lake and the second data lake to realize the right management of the data; through strict rights, authorization, application and use mechanisms, the data is ensured to be available to an authorized party, more data verification logics are put into a blockchain intelligent contract, and people, systems and data participated in the intelligent contract have corresponding identities and digital certificates through distributed identities of the blockchain, so that the whole process is traceable and non-repudiation;
step 50, performing trusted privacy calculation (the trusted privacy calculation technology can comprise homomorphic encryption, federal learning technology, safe and trusted execution environment technology and the like), ensuring that a data user of a data transaction center cannot contact plaintext data when using the data, and performing calculation and application after the data is encrypted in a trusted environment, so that the data can be used and invisible, the control right for transferring the data value is not transferred, the data traceability in data exchange and sharing is realized, and the data safety in external sharing of service data is ensured;
step 60, providing data transaction, fund settlement, wind control management, transaction supervision and application environment service through a data transaction center; and the data of the government external network area platform are shared with the convergence sharing platform through the first data lake in the government external network area.
In one possible implementation, the method further includes: and the data sharing system is connected with the data convergence sharing platform and the first data lake to realize the internal data sharing of the government affair system, is used for the data sharing exchange of each region, each department and each level, accelerates the data flow and activates the data asset.
Further, the method further comprises: when data of a government affair external network area platform is opened to an Internet area for social development and utilization or transaction, sensitive privacy data can be invisible through a privacy computing technology, and the sensitive privacy data can be used and transacted; when the data user obtains personal data from the data transaction center, the personal data is displayed in a desensitization mode, and the personal data can be normally displayed after the personal data is authorized by the corresponding personal data authorization platform.
In one possible implementation manner, the first data lake and the second data lake design heat, temperature and cold data heat storage areas according to the data use frequency plan, the data collected into the data lake are stored in a partition mode according to the data heat, and migration adjustment is carried out according to the data heat change in the operation process of the data lake.
The invention adopts an integrated big data development application system architecture to realize intensive, efficient, safe, credible and open and compatible data development and utilization, and can effectively promote multi-element aggregation, efficient storage, high-quality management, deep fusion, effective sharing, orderly opening, compliance circulation and rich application among public data in various fields. By adopting the unified multi-tenant data lake, each business unit only distributes the resources required by data management according to the needs, and the utilization rate of the resources is greatly improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that the specific embodiments described are illustrative only and not intended to limit the scope of the invention, and that equivalent modifications and variations of the invention in light of the spirit of the invention will be covered by the claims of the present invention.
Claims (6)
1. An integrated big data application method for public data development and utilization is characterized in that: an integrated big data application system for development and utilization of public data is provided, which comprises: the system comprises a government external network regional platform and an Internet regional platform, wherein the government external network regional platform and the Internet regional platform adopt loose coupling architecture and are respectively deployed in a government external network region and an Internet region;
the government affairs extranet region platform comprises:
the data convergence sharing platform is used for comprehensively collecting data of the e-government external network area;
the first data lake is connected with the data aggregation sharing platform and is used for providing large-scale centralized storage, full life cycle data management, preprocessing and government affair data sharing capability after the unified aggregation of the multi-element data and storage services of archives and source codes;
the first data resource center is connected with the first data lake and is used for synchronizing data from the data lake and then carrying out data management, data analysis and data development;
the first data right-confirming management platform is connected with the first data lake and is used for establishing a data right-confirming mechanism, auditing legal compliance of data according to a data right-confirming basic framework, and auditing and registering authentication of a data production processing service main body, a data circulation process and application rules; based on the blockchain technology, through the authorization, application and use mechanism, the data is ensured to be available to an authorized party, the data verification logic is put into a blockchain intelligent contract, and through the distributed identity of the blockchain, people, systems and data participating in the intelligent contract have corresponding identities and digital certificates, and the whole process is traceable and non-repudiation;
the Internet area platform comprises:
the data convergence platform is used for comprehensively collecting data of the Internet public network area;
the second data lake is deployed with the first data lake by adopting a loose coupling architecture and is connected with the data convergence platform;
the second data resource center is deployed with the first data resource center by adopting a loose coupling architecture and is connected with the second data lake;
the second data right-confirming management platform is deployed by adopting a loose coupling architecture and is connected with the second data lake;
the data transaction center is connected with the second data resource center and is used for providing data transaction, fund settlement, wind control management, transaction supervision and application environment service;
the multi-party trusted security computing platform is connected with the first data resource center, the second data resource center and the data transaction center and is used for carrying out trusted privacy computation on the first data resource center and the second data resource center, so that a data user of the data transaction center cannot contact with plaintext data when using the data, the data is calculated and applied after being encrypted in a trusted environment, the data can be used and invisible, the control right for transferring the data value is not transferred, the data traceability in data exchange sharing is realized, and the data security in external sharing of service data is ensured;
the method comprises the following steps:
step 10, comprehensively accessing service systems of departments in each city to a data aggregation sharing platform, comprehensively acquiring data by utilizing links of the aggregation sharing platform in each e-government affair external network area, intensively storing the data in a full amount in a data lake, and preprocessing;
step 20, providing large-scale centralized storage, full life cycle data management, preprocessing and government affair data sharing capability and archives and source code storage services after unified aggregation of the multi-element data through the first data lake and the second data lake;
step 30, according to the data application requirements, carrying out data management, data analysis and data development on synchronous related original data in a first data lake and a second data lake respectively through a first data resource center and a second data resource center, and directly accessing real-time data from a data convergence sharing platform and a data convergence platform respectively;
step 40, performing right relation combing and right registration on the data resource catalogs established by the first data lake and the second data lake to realize the right management of the data; through the authorization, application and use mechanisms, the data can be ensured to be used by an authorized party, the data verification logic is put into a blockchain intelligent contract, and people, systems and data participating in the block chain intelligent contract have corresponding identities and digital certificates through the distributed identities of the blockchain, so that the whole process is traceable and non-repudiation;
step 50, performing trusted privacy calculation, ensuring that a data user of a data transaction center cannot contact plaintext data when using the data, performing calculation and application after encrypting the data in a trusted environment, realizing that the data is available and invisible, and the data value transfer control right is not transferred, realizing data traceability in data exchange sharing, and ensuring data security when service data is shared outwards;
step 60, providing data transaction, fund settlement, wind control management, transaction supervision and application environment service through a data transaction center; and the data of the government external network area platform are shared with the convergence sharing platform through the first data lake in the government external network area.
2. The method according to claim 1, wherein the method further comprises: and the data sharing system is connected with the data convergence sharing platform and the first data lake to realize the internal data sharing of the government affair system, is used for the data sharing exchange of each region, each department and each level, accelerates the data flow and activates the data asset.
3. The method according to claim 1, wherein the method further comprises: when data of a government affair external network area platform is opened to an Internet area for social development and utilization or transaction, sensitive privacy data can be invisible through a privacy computing technology, and the sensitive privacy data can be used and transacted; when the data user obtains personal data from the data transaction center, the personal data is displayed in a desensitization mode, and the personal data can be normally displayed after the personal data is authorized by the corresponding personal data authorization platform.
4. The method according to claim 1, characterized in that: and designing a heat storage area, a temperature storage area and a cold storage area of the three types of data according to the data using frequency plan of the first data lake and the second data lake, storing the data collected into the data lake in a partitioning manner according to the data heat, and performing migration adjustment according to the change of the data heat in the operation process of the data lake.
5. The method according to claim 1, characterized in that: trusted privacy computing technology includes technology through homomorphic encryption, federal learning technology, and secure trusted execution environment.
6. The method of claim 1, wherein the integrated big data application system for public data development and utilization further comprises: and the personal data authorization platform is used for displaying the personal data in a desensitization mode when the data user acquires the personal data from the data transaction center, and the personal data can be normally displayed after the personal data authorization platform is authorized by the corresponding person.
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