CN114792178A - Intelligent village big data middle platform management system - Google Patents
Intelligent village big data middle platform management system Download PDFInfo
- Publication number
- CN114792178A CN114792178A CN202110092848.1A CN202110092848A CN114792178A CN 114792178 A CN114792178 A CN 114792178A CN 202110092848 A CN202110092848 A CN 202110092848A CN 114792178 A CN114792178 A CN 114792178A
- Authority
- CN
- China
- Prior art keywords
- data
- country
- management
- village
- big
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013523 data management Methods 0.000 claims abstract description 19
- 210000004556 brain Anatomy 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 238000007781 pre-processing Methods 0.000 claims abstract description 7
- 230000006978 adaptation Effects 0.000 claims abstract description 4
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 4
- 238000005538 encapsulation Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 61
- 238000013439 planning Methods 0.000 claims description 10
- 230000006872 improvement Effects 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 5
- 238000013501 data transformation Methods 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 abstract description 5
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 238000000034 method Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 5
- 230000004927 fusion Effects 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 241000287181 Sturnus vulgaris Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000008034 disappearance Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000013467 fragmentation Methods 0.000 description 1
- 238000006062 fragmentation reaction Methods 0.000 description 1
- 239000011158 industrial composite Substances 0.000 description 1
- 230000001483 mobilizing effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a big data management system of an intelligent country, which relates to the technical field of the intelligent country and comprises the following steps: the big data middle platform is used for acquiring the village big data provided by the village terminal, preprocessing the village data to obtain preprocessed data, and storing the preprocessed data to form a village brain database; the cooperative sharing platform is used for carrying out capability encapsulation and protocol adaptation on the capability component and providing services to the outside so as to support business applications of different technical systems to call and interact the preprocessed data; and the assistant decision application is used for carrying out artificial intelligence analysis according to the pre-generated self-adaptive decision analysis engine set and the pre-processed big data, displaying the analysis result to a manager through a country large screen, monitoring the operation state of the country and providing technical support for the decision of the manager. The invention promotes the comprehensive upgrading development of villages.
Description
Technical Field
The invention relates to the technical field of intelligent villages, in particular to a large data center management system of an intelligent village.
Background
At present, rural information infrastructure accelerates the construction, and the modern agriculture of online-to-offline fusion accelerates to promote, and rural information service system accelerates perfectly, also has top layer design disappearance, resource overall planning not enough, the infrastructure weak, regional difference is obvious scheduling problem simultaneously, needs urgent need further to explore the huge potentiality of informationization in the country shake, promotes the comprehensive upgrading of agricultural, rural comprehensive progress, peasant comprehensive development. And new technologies such as BIM, GIS and the like are incorporated into a digital village and town planning structure, so that an industrial composite, village and town functional science and technology fusion mode is realized.
In the existing rural management system, all door systems in the rural area are in an information island situation, the cross-department coordination capability is weak, and the requirement of fine management cannot be met; and the data processing and analyzing capability of the country management is insufficient, and the requirements of comprehensive monitoring and intelligent decision making of the country management cannot be met.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent village big data center management system, which specifically comprises the following steps:
the big data center station is used for acquiring country data provided by a country terminal, preprocessing the country data to obtain preprocessed data, and storing the preprocessed data to form a country brain database;
the cooperative sharing platform is connected with the big data middle platform and is used for performing capability encapsulation and protocol adaptation on capability components and providing services to the outside through an interface so as to support business applications of different technical systems to call and interact the preprocessed data stored in the rural brain database;
and the decision application is respectively connected with the big data center and a village large screen and used for carrying out artificial intelligence analysis according to a pre-generated algorithm analysis index and the preprocessed data stored in the village brain database, and displaying the analysis result to a village manager through the village large screen so as to monitor the state of the village and provide technical support for the decision of the village manager.
Preferably, the big data center station specifically includes:
the country data resource is used for acquiring and storing country data provided by a country terminal;
the data sharing platform is connected with the country data resources and is used for realizing sharing and exchange of the country data corresponding to different country terminals;
the data management platform is respectively connected with the country data resources and the data sharing platform and is used for realizing the pretreatment of the country data through the data sharing platform to obtain pretreated data;
the data management platform is connected with the data management platform and is used for carrying out data management on the preprocessed data;
and the database module is connected with the data management platform and used for storing the preprocessed data to form a village brain database.
Preferably, the preprocessing includes, but is not limited to, data cleansing, data integration, data transformation, data identification, and data induction.
Preferably, the data management includes, but is not limited to, data standard management, metadata management, data quality management, and data system management.
Preferably, the collaborative sharing platform includes:
a technical module for collecting decision support for managing the collaborative sharing platform;
the application management module is used for displaying the service application created by all the data information accessors of the collaborative sharing platform and providing the management authority of the service application for a system administrator;
and the interface management module is used for opening the interface to provide service to the outside and managing the interface.
Preferably, the interface is an API interface.
Preferably, the country large screen includes but not limited to country data display module, economic innovation display module, civilian security display module, ecological environment display module, social improvement display module, country planning display module.
Preferably, the data terminal includes, but is not limited to, a mobile device and a base device.
The technical scheme has the following advantages or beneficial effects: through a big data center technology, potential rules and relations are found out on the basis of country data, prediction analysis is carried out, efficient intelligence of daily cooperative management of the country, real-time and accurate emergency command decision, scientific and reasonable country development planning and effective check of government affair business efficiency can be achieved, the country can find problems and solve problems in a self-finding mode to the maximum extent, self-regulation of the country is finally achieved, and people and the country are harmonious.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent village big data center management system in an embodiment of the present invention.
Fig. 2 is a schematic diagram of a large data center station in the embodiment of the present invention.
FIG. 3 is a diagram of a collaboration sharing platform according to an embodiment of the present invention.
Fig. 4 is a schematic view of a country large screen in the embodiment of the invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In an embodiment of the present invention, based on the above problems in the prior art, an intelligent village big data center management system is provided, as shown in fig. 1, which specifically includes:
the big data middle platform 1 is used for acquiring country data provided by a country terminal, preprocessing the country data to obtain preprocessed data, and storing the preprocessed data to form a country brain database;
the collaborative sharing platform 2 is connected with the big data middle platform 1 and is used for carrying out capability encapsulation and protocol adaptation on capability components and providing services to the outside through an open interface so as to support business applications of different technical systems to call and interact preprocessed data stored in a rural brain database;
and the decision application 3 is respectively connected with the big data middlebox 1 and a country big screen 4 and is used for carrying out artificial intelligence analysis according to the pre-processed data stored in the pre-generated self-adaptive decision analysis engine set and the country brain database and displaying the analysis result to a country manager through the country big screen so as to monitor the state of the country in real time and provide technical support for the decision of the country manager.
In an embodiment of the present invention, the big data middle station 1 specifically includes:
the country data resource 11 is used for acquiring and storing country data provided by a country terminal;
the data sharing platform 12 is connected with the country data resources 11 and is used for realizing sharing and exchange of country data corresponding to different country terminals;
the data management platform 13 is respectively connected with the country data resource 11 and the data sharing platform 12 and is used for realizing the pretreatment of the country data through the data sharing platform to obtain pretreated data;
the data management platform 14 is connected with the data management platform 13 and is used for performing data management on the preprocessed data;
and the database module 15 is connected with the data governance platform 13 and is used for storing the preprocessed data to form a country brain database.
Further, functions including but not limited to data aggregation, data cleaning, data association, data fusion, data identification and the like are realized through the data governance platform 13.
Further, the data management platform 14 implements data standards management, metadata management, data quality management, and data hierarchy management, including but not limited to.
Further, the database module 15 is used for storing the preprocessed data to form a rural brain database. The rural brain database preferably comprises a base library, a subject library and a subject library. The contents of the basic library are added, and the data in the village data resources are subjected to integrated treatment and data fusion to form a subject library, so that the integrity, consistency, correctness, compliance and relevance of the data are guaranteed, and one source is realized. And extracting data from the theme library to form a theme library, and supporting various applications of the data through a standard API (application programming interface) provided by the rural brain collaborative sharing platform.
The information stored in the basic library comprises a structured information resource library of various structured service data after cleaning and comparison; various unstructured data resources such as department official documents, policy documents, audio and video documents and the like integrated through an exchange system; a data repository that stores models built by topic or theme and supports analytical applications. In addition, the system also comprises a directory service content information base and a directory content management information base of the directory system technical support system; an exchange information base and a shared information base of the exchange system technical support system; business systems that support demographics, and the like.
In the embodiment of the invention, the preprocessing includes, but is not limited to, data cleaning, data integration, data transformation, data identification and data induction.
Specifically, in this embodiment, the data aggregation specifically includes synchronizing mass data to enter a data platform through a data integration system, so as to complete the acquisition of multi-source heterogeneous data. The data integration system adopts a distributed architecture design, supports a cluster deployment mode, avoids the unavailability of the system caused by single-point faults, allows the high-load data conversion processing components to be deployed on a plurality of servers for concurrent execution, and has higher data processing efficiency.
The data fusion is to fuse data into a subject/subject library according to service dimensions.
The data identifier is specifically a data label according to data attributes and service requirements.
In the embodiment of the invention, the data management comprises data standard management, resource directory management, metadata management, data life cycle management and data quality management.
Specifically, in this embodiment, the data standard management specifies the specification definition, the acquisition principle, the management requirement, and the like of the service term, the metadata, the reference data, the basic data, and the index data. The method comprises the steps of designing basic data standards and analysis data standards, formulating a data standard management system and process, determining data standard management organization and responsibility, on the premise of determining organization, responsibility and process design, mobilizing business departments, technical departments and system technical teams to jointly participate in data standard design, establishing a global data standard process, formulating a total landing plan, promoting the landing execution of the data standards, enhancing the internal understanding of the data standards, and guiding the reference of the data standards in information-based construction. The data standard management system mainly comprises three parts, namely data standard management, a landing implementation mechanism and data standard management platform maintenance. The landing implementation mechanism guarantees the two aspects of standard popularization and technical platform support; the maintenance of the data standard platform mainly comprises two aspects of building a data standard technical platform and supporting data standard daily management work.
The metadata management establishes a metadata classification framework according to the use of the metadata and different roles of the metadata, and plans the data types and sets contained in the business metadata, the technical metadata and the operation metadata. According to the management system and requirements of the metadata, after the metadata is obtained, the metadata is classified according to the rules, and then the metadata is classified and managed according to the definition of each type of metadata. Metadata mainly comprises data source metadata, data acquisition metadata, data warehouse storage metadata, data mart metadata, application service layer metadata and portal management metadata through the whole process of data flowing. The service metadata is a semantic layer between service personnel and a system and comprises information such as service definition, service departments, service rules and management departments. The technical metadata mainly refers to technical detail information such as data types, data processing logics, tables/fields and the like of the system where the technical metadata is located. The operation metadata mainly refers to metadata of data processing procedures such as data access authority and results of data processing jobs.
The data quality management framework focuses on a data quality focus data range, combines a data responsibility confirmation mechanism, a data standard and metadata construction, focuses on solving the quality problem of core data, and promotes the detection and the promotion of data quality together.
In the embodiment of the present invention, the collaborative sharing platform 2 includes:
a technical module 21, configured to centrally display the shelving capacity of the collaborative sharing platform 2;
the application management module 22 is configured to display service applications created by all the on-shelf capability access persons of the collaborative sharing platform 2, and provide a management authority of the service applications to a system administrator;
the interface management module 23 is configured to open an interface to provide services to the outside and manage the external interface.
Specifically, in this embodiment, the technical module 21 is used for centrally displaying the capacity of the collaborative sharing platform 2 that has been put on the shelf, and can browse the capacity list according to the capacity category or the topic category set by the collaborative sharing platform 2, and can specifically view detailed information such as a capacity summary, a function introduction, a help document for capacity usage, and some typical scenes for capacity usage of each capacity, so as to help the user better understand and use the capacity provided by the platform.
The application management module 22 displays the service application created by all the capability accessors of the collaborative sharing platform 2, and provides a system administrator with a function of managing the service application of the whole platform. The platform system administrator may enable/disable the target application, which will no longer be able to access any business capabilities using the collaborative sharing platform 2 when the administrator disables the target application.
The interface management module 23 is preferably configured to open an API interface to provide a service to the outside, and manage the API interface. The API gateway constructs API-oriented and serial strong management and control service on the boundary of an enterprise system, provides high-performance and high-availability API hosting service, and enables users to open service quickly, with low cost and low risk. The method mainly comprises API management, load management, flow strategies, black and white names and the like. The API gateway is a server and is the only portal to the system. From an object-oriented design point of view, it resembles an appearance pattern. The API gateway encapsulates the internal architecture of the system, providing a customized API for each client. It may also have other responsibilities such as authentication, monitoring, load balancing, caching, request fragmentation and management, static response handling. The key point of the API gateway mode is that all the using ends are accessed into the microservice through a unified gateway, and all non-business functions are processed at a gateway layer. Typically, the gateway is also an access API that provides REST/HTTP. The server registers and manages services through the API-GW.
In an embodiment of the present invention, the interface is an API interface.
In the embodiment of the invention, the country large screen 4 comprises a country display module 41, an economic innovation display module 42, a civil security display module 43, an ecological environment display module 44, a social governance display module 45 and a country planning display module 46.
Specifically, in this embodiment, the country large screen 4 displays intelligent understanding and cognition of large data, enhances information control capability, provides a visual global situation, displays a country trend, displays a country super-insight, and improves dynamic supervision capability and scientific decision level of the country. Further, the country large screen 4 includes, but is not limited to, a country display module 41, an economic innovation display module 42, a civil insurance display module 43, an ecological environment display module 44, a social improvement display module 45, and a country planning display module 46.
The country display module 41 stares at the leader work report and focuses on the planning target, finely identifies the operation state of the country space unit, and accurately monitors the real-time dynamic change index of the country. The country state is comprehensively monitored to assist the refinement of the country management and the cooperation of social treatment.
The economic innovation display module 42 integrates two parts of business data of economic development and scientific innovation to form a large screen of economic and scientific data.
The above-mentioned civilian support exhibition module 43 is used as a main line of the whole civilian construction and social support plate, with the objective of "child is educated, taught and acquired, sick is medically treated, old is nourished, resident is resident and weak is supported".
The ecological environment display module 44 focuses on the current situation and the development situation of the ecological environment protection of the village.
The social improvement display module 45 displays the refinement level and the refinement state of the rural social improvement in the global area.
The country planning display module 46 focuses on the reasonable layout of the country, including land utilization and country key terminals, and combines with population distribution information to form a vivid "map" of the country planning.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made without departing from the spirit and scope of the invention.
Claims (8)
1. The utility model provides a big data middling station management system in wisdom rural area which characterized in that specifically includes:
the big data center station is used for acquiring country big data provided by a country terminal, preprocessing the country data to obtain preprocessed data, and storing the preprocessed data to form a country brain database;
the cooperative sharing platform is connected with the big data middle platform and is used for performing capability encapsulation and protocol adaptation on capability components and providing services to the outside through an interface so as to support business applications of different technical systems to call and interact the preprocessed data stored in the rural brain database;
and the decision application is respectively connected with the big data center and a country big screen and used for carrying out artificial intelligence analysis according to the pre-processed data stored in the pre-generated self-adaptive decision analysis engine set and the country brain database and displaying the analysis result to a country manager through the country big screen so as to monitor the operation state of the country and provide technical support for the decision of the country manager.
2. The intelligent village big data center management system according to claim 1, wherein said big data center specifically comprises:
the country data resource is used for acquiring and storing the country data provided by the country terminal;
the data sharing platform is connected with the country data resources and is used for realizing sharing and exchange of the country data corresponding to different country terminals;
the data management platform is respectively connected with the country data resources and the data sharing platform and is used for realizing the pretreatment of the country data through the data sharing platform to obtain pretreated data;
the data management platform is connected with the data management platform and is used for carrying out data management on the preprocessed data;
and the database module is connected with the data management platform and used for storing the preprocessed data to form a rural brain database.
3. The intelligent village big data center management system according to claim 2, wherein said preprocessing includes, but is not limited to, data cleansing, data integration, data transformation, data identification, data induction.
4. The intelligent village big data center management system according to claim 2, wherein said data management includes but is not limited to data standard management, metadata management, data quality management, data hierarchy management.
5. The intelligent village big data center management system according to claim 1, wherein said collaborative sharing platform comprises:
a technical module for collecting decision support for managing the collaborative sharing platform;
the application management module is used for displaying the business application created by all the data information accessors of the collaborative sharing platform and providing the management authority of the business application for a system administrator;
and the interface management module is used for opening the interface to provide service to the outside and managing the interface.
6. The system according to claim 5, wherein the communication interface includes but is not limited to an API interface.
7. The intelligent village big data center management system according to claim 1, wherein said village big screen includes but is not limited to a village display module, an economic innovation display module, a civil security display module, an ecological environment display module, a social improvement display module, and a village planning display module.
8. The intelligent village big data center management system according to claim 1, wherein said data terminals include but are not limited to mobile devices, infrastructure devices.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110092848.1A CN114792178A (en) | 2021-01-25 | 2021-01-25 | Intelligent village big data middle platform management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110092848.1A CN114792178A (en) | 2021-01-25 | 2021-01-25 | Intelligent village big data middle platform management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114792178A true CN114792178A (en) | 2022-07-26 |
Family
ID=82459355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110092848.1A Pending CN114792178A (en) | 2021-01-25 | 2021-01-25 | Intelligent village big data middle platform management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114792178A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117408642A (en) * | 2023-12-12 | 2024-01-16 | 浙江美云数据科技有限公司 | Rural digital service management platform based on artificial intelligence |
-
2021
- 2021-01-25 CN CN202110092848.1A patent/CN114792178A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117408642A (en) * | 2023-12-12 | 2024-01-16 | 浙江美云数据科技有限公司 | Rural digital service management platform based on artificial intelligence |
| CN117408642B (en) * | 2023-12-12 | 2024-03-19 | 浙江美云数据科技有限公司 | Rural digital service management platform based on artificial intelligence |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Khan et al. | Cloud based big data analytics for smart future cities | |
| CN105045820B (en) | Method for processing video image information of high-level data and database system | |
| CN111160869A (en) | Intelligent early warning care system based on community meshing | |
| CN113176875B (en) | Resource sharing service platform architecture based on micro-service | |
| CN105809356A (en) | Information system resource management method based on application integrated cloud platform | |
| CN111209269A (en) | Big data management system of wisdom city | |
| CN107193546A (en) | A kind of micro services business application system | |
| CN105338113B (en) | A kind of multi-platform data interconnection system for Urban Data resource-sharing | |
| Jinbo et al. | Research on monitoring platform of agricultural product circulation efficiency supported by cloud computing | |
| CN103259872A (en) | Multi-source heterogeneous geographic information service platform based on open-type grid system | |
| CN112633653A (en) | Beidou-based comprehensive traffic scheduling and emergency commanding system and method | |
| CN112287275A (en) | City-class data middle platform | |
| CN114792178A (en) | Intelligent village big data middle platform management system | |
| Mandagi et al. | Implementation of Smart Governance in Realizing Tomohon Smart City | |
| CN116308942A (en) | Government information system construction method based on platform informatization | |
| CN104933658A (en) | Public service system under mass data | |
| Pan et al. | An open sharing pattern design of massive power big data | |
| Zhao et al. | An architecture of knowledge cloud based on manufacturing big data | |
| Liu | Research on the Service Platform to Realize Unified Retrieval and Revelation of Digital Cultural Resources | |
| Danqiu et al. | Image retrieval technology of smart archives from the perspective of national reading | |
| Li et al. | Citizen fusion service platform for smart cities: Architecture, technologies and practice | |
| Chai et al. | Research and implementation of information management system based on SG-UAP 3.0 development platform | |
| Wang et al. | Current situation and countermeasures of Chinese street furniture design in intelligent development context | |
| Wang | Decision Support System Model of Education Management Based on Cloud Storage Technology | |
| Wan et al. | The Concept and Connotation of Enterprise Digital Transformation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Yang Liuqing Inventor after: Sun Mingcong Inventor before: Yang Liuqing Inventor before: Sun Mingcong Inventor before: Yang Heng |