Guide: The original "Smart Government Big Data Platform Project Construction Plan" (see the end of the article for the source), this article selects the essence and structure part, with clear logic and complete content, providing a reference for quickly forming a pre-sales plan.
1.1 Project Construction Goals
Promote the planning requirements of the city-level government to build digital government construction, combine the current situation of the city-level government's "Internet + government service" construction, firmly grasp the pain points of the city-level government's government affairs big data application, and use cloud computing, big data, Supported by networking, blockchain, artificial intelligence and other technologies, the top-level design of government big data at the municipal level is strengthened based on the principle of "overall planning, intensive construction, and shared governance".
Through the construction of the government affairs big data capability platform project of the municipal government, digitalization, dataization, intelligence, and intelligence are taken as the implementation path to accelerate the realization of "platform communication, data communication, credit communication, business communication", and promote the government's all-round, systematic In order to improve the efficiency of government operations, optimize the business environment, and lay the foundation for promoting the development of the "new infrastructure" industry.
1.2 Analysis of pain points in the application of municipal government big data
Although the city-level governments have generally achieved certain results in data governance, there are still some problems such as unsound data management mechanisms, poor implementation of data standards, data sharing capabilities that need to be strengthened, and data application capabilities that still need to be improved.
1. Data sharing is difficult and the quality is not high: the approval system of various departments is difficult to share data, data push is not timely, often missing and wrong parts, some existing data have data quality problems, resulting in low efficiency of offline and online processing.
2. Small farmers' awareness of data: When more and more departments realize that "data is a kind of wealth", it hinders the integration of internal data resources. There is a serious "data small farmer consciousness", each doing its own thing, leading to the creation of "information islands".
3. There are many data chimneys: various government departments independently carry out their own informatization construction, which is scattered both logically and physically. Many of the same information are repeatedly collected and stored in different departments, but the formats and contents are different. One, leading to "data chimneys" everywhere. At the same time, for some national and provincial information systems, it is still difficult to collect and obtain data from such systems at this stage.
4. Lack of data standards: If the superior standards are not clear and detailed, how can the subordinates carry out the work of sorting out data standards? Subordinate departments have formed standards, how can they be recognized by superiors? How to connect with other local standards?
5. Unordered data management: The phenomenon of disordered data management is serious, and each government department emphasizes on the unit and needs to ignore the requirements of cross-departmental coordination. There are institutional barriers of solidified interests, which plague the sustainable development of government data governance.
6. The data quality is not high: the data quality is not high, the data standards are not uniform, and it is difficult to use a unified data model or data algorithm to complete.
7. More data but less effect: Information silos and digital divide are still severe, and the inclusiveness of data value is insufficient; the quality of data is not high, the circulation of data resources is not smooth, the management ability is weak, and the value of data is difficult to be effectively mined and utilized.
8. Few new technologies have been implemented: the application fields are not extensive and the degree is not deep, and the value of data fusion has not yet been reflected. There are few data application scenarios for good governance, industrial development, and people-benefiting, and the experience is still in the node-based stage. It only exists in a certain service, a certain system, and a certain platform, and has not yet moved towards full network.
9. A single point is strong and the overall situation is weak: the construction of data platforms and application systems focuses on the superposition of functions, ignoring the superposition of capabilities; over-construction of hardware, insufficient global data intelligence; unipolar and decapitated services lead to insufficient breadth and depth of government services.
1.1
1.1.1 Overall technical architecture of the government affairs platform
1.1.2 Overall design of government affairs platform
1.1.3 Improving the service capability of the "data layer"
1. Improving Data Governance Standards
Under the framework of relevant national and provincial government data governance standards, carry out standardized construction of data collection and aggregation, data sharing and opening, data security, and data management.
(1) Improve the unified item catalog and data resource catalog, form "three lists" such as departmental data responsibility list, system data list, and data demand list, and establish a unified item catalog and data resource catalog, so that the standardization rate of the two catalogs can reach More than 90.
(2) Improve the data collection and aggregation mechanism to realize the complete collection of basic data of municipal departments and key industries.
(3) Improve the data update mechanism to achieve a data freshness rate of 90%, providing fresh data support for the development of government affairs.
(4) Improve the provincial and urban data sharing model and sharing channels. Build a provincial and municipal integrated sharing system, establish and improve the data sharing mechanism, and finally achieve an information sharing rate of 90%.
2. Accelerate the construction of data warehouse
(1) Improve the construction of the basic database. According to the unified government big data system construction requirements, build and improve basic information databases such as natural persons, legal entities, social credit, and electronic certificates.
(2) Accelerate the construction of thematic databases. On the basis of converging and integrating the basic databases of departments, speed up the construction and improvement of the municipal-level theme databases, and the business departments will take the lead in building thematic databases such as government services, macroeconomics, business environment, and targeted poverty alleviation.
(3) Complete the construction of the supervision data center. According to the construction requirements of the national "Internet + supervision" platform, sort out the supervision catalog of the municipal government, and complete the construction of the Internet + supervision core business basic database and thematic database.
(4) Realize the construction of spatio-temporal big data center, and carry out coordinate conversion, format conversion, and data database construction for existing spatial data and non-spatial data in accordance with the requirements of "unified data resources" of the municipal government; based on a digital grid, innovative The management and service model realizes the grid division and database building of social governance, epidemic prevention and control, and supervision functions.
3. Use blockchain technology to confirm and trace data
Data right confirmation: When data is integrated from various professional systems to the application layer of the big data center, certain data blockage and right confirmation must be carried out to clarify data management rights, which can ensure the security of data provided externally and will not cause others to Data tampering, forwarding, etc. The dual requirements for data confidentiality and external services are realized through blockchain zero-knowledge proof technology. On the one hand, it ensures the security of data encryption, and on the other hand, it reflects the business multi-party verification of data in an environment that protects privacy. Realize the authorized use of value data through blockchain smart contracts, empower data owners, and use smart contracts to control the access, request, authorization, and sharing of value data. Both ends of the data supply and demand have clear responsibilities and cannot be denied. .
Data traceability: the system will link each data usage information in chronological order, and will not be easily tampered with like ordinary centralized databases, so that traceability of data flow can be realized, and users can query the authorization time anytime and anywhere in the "authorization record" , data type information, and can be unbound at any time after use. It should be noted that the data information stored on the blockchain is public, but the data flow is kept strictly confidential, which also protects the privacy of users to the greatest extent.
4. Strengthen the data management mechanism
(1) Formulate government data management responsibilities, strengthen performance evaluation, and promote continuous and effective data governance.
(2) Establish a data quality problem handling mechanism, standardize the data quality problem handling process, expand data error correction feedback channels, improve the timeliness of data problem resolution, effectively improve data quality, and ensure the consistency, standardization, and integrity of relevant data.
1.1.1 Distributed architecture transformation of "support layer"
1. Transformation of distributed cloud architecture
With the vigorous development and cross integration of distributed technology and cloud computing technology, the distributed architecture based on cloud computing platform can effectively solve the problems of high cost and poor scalability of traditional centralized architecture. And cloud computing's unique hot migration, affinity and divergence characteristics can effectively improve the stability and flexibility of the business. Facing the application scenarios of government big data at the municipal level in the future, the distributed cloud architecture is used to transform and upgrade the government cloud platform.
Two-story platform docking in the urban area
2. Blockchain platform construction
Blockchain technology uses block chain data structure to verify and store data, uses distributed node consensus algorithm to generate and update data, uses cryptography to ensure the security of data transmission and access, and utilizes intelligence composed of automated script codes. A new distributed infrastructure and computing paradigm that uses contracts to program and manipulate data. To put it simply, blockchain is an innovative application model of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm in the Internet era.
1.1.2 Deep mining of "application layer" and related applications
A portrait of a natural person
Based on public security population data, gradually integrate relevant information resources from the Health and Family Planning Commission, Civil Affairs Department, Human Resources and Social Security Department, Education Department and other departments, focusing on building and integrating public security household registration information, census information, civil servant information, social security information and personnel relations Information resources such as information, expand health, income, marriage, social security, assistance, poverty, disability, migration, death and other information, gradually enrich the basic population information resource entries, and build a city-wide unified and shareable information system with the citizen ID number as the unique identifier. comprehensive population information database. Provide basic data support and services for business applications, cross-department business applications, and macro decision-making of relevant departments in the city. At the same time, determine the access rights of various personnel from enterprises and the public to realize all-round service of population information.
2. Corporate portrait
Integrate the legal person information of all committees, offices and bureaus, and build a unified and shareable legal person comprehensive information database that is uniquely identified by the unified social credit code. Including the organizational structure, equity structure, business scope, asset scale, tax source and taxation, sales income, employment number, talent composition, product services and other information of various legal entities, it provides information for the business application, cross-department business application and macro decision-making of relevant departments in the city. Provide basic data support and services.
3. People-Enterprise Cube (Association Map)
Use the graph database to associate portraits of natural persons with corporate portraits, establish a map of associations between natural persons and legal persons, and provide basic data support and services for business applications, cross-departmental business applications, and macro decision-making of relevant departments in the city.
4. Spatio-temporal big data service
Make full use of natural person portraits, corporate portraits, person-enterprise cubes, trajectory information, and address information to establish a grid management system with superimposed social governance, epidemic prevention and control, and regulatory functions.
5. Operation command center
Make full use of information technologies such as the Internet of Things, cloud computing, and big data, based on the basic support environment of municipal e-government construction, and based on the theme database of government affairs management, expand the geographic information database, business database, and theme database required for the construction of new urban smart center business and indicator library, build an integrated business display system, and provide resource service applications such as comprehensive operation monitoring, information query display, information briefing presentation, data analysis, joint command, and decision support. Realize the integrated data resource perspective of the leaders of the municipal government and relevant committees and offices, realize the integration of data and information resources and innovative services, and achieve a timely understanding of the comprehensive situation of the city's development through the system, grasp the development trends in a timely manner, and provide a basis for policy formulation.
1.1.1 Social benefit analysis
1.1.1.1 It can enhance people's sense of gain in government affairs
This project centers on the service object, focuses on process optimization, relies on a unified platform, and aims at "less travel and faster handling" to provide citizens with one-stop, convenient services and provide basic support to effectively solve the problems of citizens, The problem of difficulties in handling affairs for enterprises has changed the previous impressions of citizens and enterprises on government departments as "difficult to enter, unsightly, and difficult to handle", promote the convenience and efficiency of citizens and enterprises in handling affairs, improve the overall effectiveness of the government and the satisfaction of the public, and effectively Promote the construction of a service-oriented government.
1.1.1.2 Can build a comprehensive supervision mechanism
Establish regulatory work assessment, regulatory data push feedback, and regulatory risk early warning mechanisms to strengthen the supervision of regulatory processes and regulatory effectiveness, and improve the standardization, precision, and intelligence of interim and post-event regulation.
Monitoring alarm:
1.1.1.3 It can improve the ability of government governance
It can realize real-time, accurate, efficient, and reliable big data management, promote cross-level, cross-regional, cross-system, cross-department, and cross-business data interconnection and collaborative sharing, and further deepen the development and innovation of government big data applications and promote digitalization The innovative application of work in the government center can strongly support the efficient execution of relevant responsibilities of government departments, and can effectively promote the precision of government services, the refinement of social governance, and the scientificization of macro-decision-making.
1.1.1.4 It can enhance social credibility
It can unblock the communication channels between the government and the people, and serve the people in a full-time, full-service, and full-process manner. Improve the credibility of the government by focusing on solving problems that some provinces, cities and counties cannot handle or some major people's livelihood issues. Open up the integrated online government service platform and big data platform of provinces and cities, and the communication channel barriers between various functional departments of the city, urban districts and counties, and solve the problem that there are too many government service hotlines for citizens and it is not easy for citizens to remember.
1.1.1.5 Ensure that information application security complies with national standards and requirements
In recent years, the construction of informatization in the field of government affairs has developed rapidly, the number of important information systems has increased significantly, the complexity of the system has greatly increased, and the degree of business dependence on informatization has greatly increased. Information technology has increasingly become a powerful means to improve the level of government management, service quality and work efficiency. . The security of the basic information network and important information systems in the government industry is related to people's livelihood, social stability and the interests of the general public. As the core technology and basic support for protecting network and information security, passwords are used in identity recognition, security isolation, information encryption, integrity protection and anti-corruption. Repudiation and other aspects play an irreplaceable important role.
Table of contents
Chapter 1 Introduction
1.1 Project name
1.2 Construction background and policy basis
1.3 Guiding ideology
1.3.1 Promote the open sharing of government data
1.3.2 Enhance the value of social data resources
1.3.3 Strengthen data resource integration and security protection
1.4 Project Construction Goals
1.5 Pain Point Analysis of Government Big Data Application
1.6 Project construction content and scale
1.6.1 Service Capability Improvement of "Data Layer"
1.6.2 Transformation of the distributed architecture of the "support layer"
1.6.3 In-depth mining and associated applications of the "application layer"
1.6.4 Multimedia Convergence of "Display Layer"
1.6.5 Construction of security system
1.7 Total Project Investment and Funding Sources
1.8 Economic and social benefits
1.8.1 Economic benefit analysis
1.8.2 Social benefit analysis
1.9 Main conclusions and recommendations
Chapter 2 Requirements Analysis
2.1 Status Analysis
2.2 Main problems and gaps
2.3 Demand Analysis
2.3.1 Data Capability Improvement Requirements
2.3.2 Functional requirements of the "Internet + Supervision" system
2.3.3 Operation Command Center and Big Data Visual Analysis Requirements
2.3.4 Cryptographic application system requirements
Chapter 3 Overall Architecture
3.1 Platform Architecture
3.2 Business logic
3.3 Data Architecture
Chapter 4 Construction Plan
4.1 Data layer construction
4.1.1 Standard specification system
4.1.2 Data Governance System
4.1.3 Basic database and theme database construction
4.1.4 Supervision of data center construction
4.1.5 Spatial geographic information library (reuse and docking conversion)
4.2 Construction of supporting layer
4.2.1 Transformation of Distributed Cloud Architecture
4.2.2 Blockchain platform
4.3 Application layer construction
4.3.1 Portraits of natural persons
4.3.2 Corporate portrait
4.3.3 People-Enterprise Cube (Association Map)
4.3.4 Integrated grid management platform for people and rooms
4.3.5 Blockchain application service layer
4.3.6 Operation command center
4.4 Display layer construction
4.4.1 Smart APP (government service module upgrade)
4.4.2 Government GIS Basic Platform
4.4.3 Visualization platform
4.4.4 Artificial Intelligence Platform
4.5 Construction of security system
4.5.1 Password support service platform design
4.5.2 Municipal Safety Management Center
Chapter 5 Project Implementation Progress
5.1 Project construction period
5.2 Implementation schedule
Chapter 6 Project Budget Estimates
6.1 Instructions for the preparation of investment estimates
6.2 Project Investment Budget Summary
6.3 Funding sources
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