CN113780877A - Low-coupling high-convergence easy-reuse oriented technical architecture - Google Patents
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Abstract
The invention discloses a low-coupling high-convergence easy-multiplexing-oriented technical framework which comprises an application service layer, a data service layer, a platform service layer and an infrastructure layer, wherein the data service layer and the platform service layer are connected with the application service layer and the infrastructure layer.
Description
Technical Field
The invention relates to a technical architecture, in particular to a low-coupling high-convergence easy-multiplexing-oriented technical architecture.
Background
The energy big data presents the characteristic of multi-source isomerization, and the information level and the data quality of each energy enterprise are different, so that the access, aggregation, fusion and sharing of the multi-source heterogeneous energy data are difficult. The energy big data fusion is the basic requirement of data operation, data development and data application, but the data source has many participants, the data kind is various, data quality is different, the data storage mode of different enterprises of the same trade is different, form the heterogeneous data isolated island phenomenon of multisource, the difficulty has been brought for the fusion and the sharing of data, how with different fields, different sources, different levels, the orderly access of the energy data of different structures and the prerequisite that the arrangement becomes available energy usable becomes to develop the value and excavate and use, need break through the data barrier urgently, promote data quality, realize the fusion of the heterogeneous energy big data of multisource. By designing a low-coupling high-convergence technical framework, the problems of convergence capability of multi-source heterogeneous data and flexible expansion of a platform are solved.
The construction of the energy big data center can effectively support the implementation of a digital new infrastructure strategy in China, provides support for the realization of the innovative fusion development target of energy green transformation and energy cause, and assists the digital transformation, quality improvement and efficiency enhancement of companies. However, during the construction process, the following problems are faced:
at the present stage, various provincial energy big data centers are put into practice around the aspects of infrastructure, data access, storage management, safety protection, intelligent analysis, application service and the like, but the construction is dispersed, a clear and unified architecture system is lacked, certain differences exist between technical architectures and technical routes, the problems of weak trans-provincial coordination capacity, repeated component development, inconsistent interface models, low data utilization efficiency and the like are caused, the problems are further aggravated when the multi-provincial energy big data centers are interacted with more government affairs, energy enterprises and various industry information systems, and the difficulties of data fusion sharing and product opening and reuse are also brought when the multi-stage energy big data centers of 'national level, provincial level, prefecture level and county level' are constructed in the future.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a technical framework oriented to low-coupling high-aggregation easy multiplexing, which can realize the unification of processing data and simultaneously realize data fusion sharing and product open multiplexing.
In order to achieve the above object, the low-coupling high-convergence easy-reuse oriented technical architecture of the present invention includes an application service layer, a data service layer, a platform service layer and an infrastructure layer, wherein the data service layer and the platform service layer are connected with the application service layer and the infrastructure layer.
The infrastructure layer comprises a computing module, a storage module, a network and CDN module, a proprietary cloud, a national network cloud and a public cloud.
The platform service layer comprises a unified cloud management platform, DevOps, an artificial intelligence platform, a block chain platform, an Internet of things platform and distributed middleware.
The data service layer comprises a data operation management module, a data service module, a storage calculation module, a data access module, a data analysis module and a data asset management module.
The application service layer comprises Web application/Spring/SG-UAP, read/Vue, Echarts/D3.js/Highcharts, a PC client/Electron, Android/IOS, a mobile applet module, an information release module, an online service module, a data service system, a data report module, a business intelligent module and an online monitoring module.
The security management system further comprises a security management module, wherein the security management module comprises a Web application protection wall, a DDoS protection module, an SSL certificate, a vulnerability scanning module, a database auditing module, a sensitive data protection module, an operation auditing module, a cloud security center and an access control module.
The data operation management module comprises a data development module, a task scheduling module, a monitoring warning module, an algorithm management module, a link monitoring module and a safety management module.
The storage calculation module comprises a batch calculation module, a stream calculation module, an SQL module, a NoSQL module, a distributed data warehouse and an image video data module.
The data analysis module comprises a statistical analysis module, a data visualization module, a machine learning module and a knowledge graph module.
The artificial intelligence platform comprises a machine learning platform and an intelligent image language module.
The invention has the following beneficial effects:
the technical framework oriented to low coupling, high convergence and easy reuse comprises an application service layer, a data service layer, a platform service layer and an infrastructure layer, wherein the data service layer and the platform service layer are connected with the application service layer and the infrastructure layer so as to be oriented to multi-main body, multi-service, multi-situation and energy big data center application service platforms configured according to needs, realize the unification of design and simultaneously realize data fusion sharing, product development and reuse.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is an architecture diagram of a platform services layer in accordance with the present invention;
fig. 3 is an architecture diagram of an application service layer in the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the accompanying drawings:
the technical architecture oriented to the low-coupling high-convergence easy multiplexing comprises an application service layer, a data service layer, a safety management module, a platform service layer and an infrastructure layer, wherein the data service layer and the platform service layer are connected with the application service layer and the infrastructure layer.
The infrastructure layer comprises a computing module, a storage module, a network and CDN module, a proprietary cloud, a national network cloud and a public cloud, the computing module comprises a cloud server, a GPU cloud server, a high-performance computing module, a proprietary host machine, an elastic container, a Serverless and a high-performance computing module, the private cloud comprises a government affair cloud and an enterprise cloud, the storage module comprises an object storage module, a database storage module, a file storage module and a log service module, the national network cloud comprises a province-level national network cloud, a Beijing data center, a Shanghai data center, a West security data center, an edge computing module and a multi-station fusion module, the common cloud comprises an Alice cloud and a Hua-Wein cloud, and the network and CDN module comprises a NAT gateway, a proprietary network VPC, a load balancing module, a VPN, a CDN and IPv 6.
The platform service layer comprises a unified cloud management platform, a DevOps, an artificial intelligence platform, a block chain platform, an Internet of things platform and distributed middleware, wherein the unified cloud management platform comprises a physical machine, a cloud service and monitoring alarm module; the DevOps comprises a continuous integration module, a continuous release module, a cloud native module and a container micro-service module; the artificial intelligence platform comprises a machine learning platform and an intelligent image voice module, the block chain platform comprises a national network chain and an energy source block chain, and the Internet of things platform comprises an energy industry Internet of things and an Internet of things application service module; the distributed middleware comprises a message queue and a service grid, various forms of data services such as application scenes, analysis reports, data files, data interfaces and the like are provided on line through the platform service layer, meanwhile, users can subscribe products, release products or submit demands through the platform service layer, the energy big data center can quickly respond to the demands of all parties, and high-quality data services are continuously provided for governments.
The data service layer creates a new state for the mass creation of multiple subjects and multiple services, the mass creation development platform is a service platform for data opening, sharing, analysis and application, is a public service platform for cooperating a platform operator, a data provider and an application developer to create complementary products, is oriented to units such as governments, enterprises, scientific research institutions, colleges and the like, provides massive data resources, abundant development tools, convenient popularization platforms, good supporting facilities and convenient supporting services, fully meets user requirements, develops core application and technical exploration and research, and forms an industry aggregation effect, the data service layer comprises a data operation management module, a data service module, a storage calculation module, a data access module, a data analysis module and a data asset management module, and the data operation management module comprises a data development module, a task scheduling module and a task scheduling module, The system comprises a monitoring warning module, an algorithm management module, a link monitoring module and a safety management module; the storage calculation module comprises a batch calculation module, a stream calculation module, an SQL module, a NoSQL module, a distributed data warehouse and an image video data module; the data analysis module comprises a statistical analysis module, a data visualization module, a machine learning module and a knowledge graph module, and the data service module comprises a data service directory module, a third-party interface service module, a RESTful service module and a WebService service; the data asset management module comprises a data asset directory module, a data model management module, a data standard management module, a data quality management module, a data label management module and a main data management module; the data access module comprises a data bus, a data filling module, an API (application program interface) data interface, an ETL (extract transform load), a data copying module, a crawler module and a data exchange module.
The application service layer comprises Web application/Spring/SG-UAP, read/Vue, Echarts/D3.js/Highcharts, a PC client/Electron, Android/IOS, a mobile applet module, an information release module, an online service module, a data service system, a data report module, a business intelligent module and an online monitoring module.
The security management module comprises a Web application protection wall, a DDoS protection module, an SSL certificate, a vulnerability scanning module, a database auditing module, a sensitive data protection module, an operation auditing module, a cloud security center and an access control module.
Referring to fig. 2, in practical application, the platform service layer collects and aggregates different types of data such as power, natural gas, coal, oil, and water, performs preprocessing such as extraction, conversion, and loading, and provides data service to support upper layer application.
Referring to fig. 3, when the application service layer works, according to the service scenario determined by the overall architecture of the oriented different objects, the services such as user energy consumption data analysis, credit evaluation, abnormal behavior analysis, early warning and the like are provided according to the data analysis requirement provided by the user. Aiming at the operation requirements of a company on product delivery of an internal network and an external network, an application service layer provides services such as service management, safety monitoring and product authorization in the technical aspect. Based on innovative application requirements provided by companies, an application service layer provides innovative services such as energy index statistics, structural analysis and operation monitoring, and simultaneously provides new applications such as gas outage early warning and related fault analysis for power related industries; finally, based on the responsibility obligation of the company as a large-scale enterprise, services such as accurate poverty relief, pollution prevention and control, city auxiliary planning and the like are provided according to national policies for society.
The data service module mainly provides various energy big data related information publishing service functions, including news consultation, downloading center, supply and demand matching and our contact functions, and the like, so that the matched publishing of the national, government, national and network units at all levels, social related news information, downloading center and supply and demand matching information is realized, and the purposes of 'centralized management, unified control and distributed publishing' of information publishing are achieved.
The data service layer realizes the convergence of provincial energy big data center data, national energy data and other field data such as government affairs, economy, weather and traffic, and provides basic support for the application of energy big data in cross-border deep fusion, shared exchange and fusion.
The invention is characterized in that:
1) the invention comprises all data types which are possibly needed and necessary in the energy industry, particularly the electric power industry, and the data is stored and preliminarily calculated in a data center, so that the invention can well support the existing energy big data application.
2) The invention has wider field and industry, provides more detailed service and required technical models, and provides different applications for different users.
3) The energy big data center covers a main body and comprehensive services, covers government agencies, energy enterprises, energy utilization enterprises, resident industries and other industries, covers all links of a production chain, and provides products of types such as platform tools, data services and consultation operation with pertinence for different users by combining recent 'carbon peak reaching and carbon neutralization' and related ideas and policies of a novel power system.
4) Energy product business models are summarized and generalized. By taking product business modes of different types of enterprises such as Internet enterprises, national enterprises and the like as a reference and combining the existing energy product business modes for perfection and updating, the business mode of the energy product has the potential of continuous updating and iterative activity and sustainable development.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A technical architecture oriented to low-coupling high-convergence easy multiplexing is characterized by comprising an application service layer, a data service layer, a platform service layer and an infrastructure layer, wherein the data service layer and the platform service layer are connected with the application service layer and the infrastructure layer.
2. The low-coupling high-convergence easy multiplexing-oriented technical architecture as claimed in claim 1, wherein the infrastructure layer comprises a computing module, a storage module, a network and CDN module, a proprietary cloud, a national network cloud and a public cloud.
3. The low-coupling high-convergence easy multiplexing-oriented technology architecture as claimed in claim 1, wherein the platform service layer comprises a unified cloud management platform, a DevOps, an artificial intelligence platform, a blockchain platform, an internet of things platform and distributed middleware.
4. The low-coupling high-convergence easy multiplexing-oriented technical architecture as claimed in claim 1, wherein the data service layer comprises a data operation management module, a data service module, a storage computation module, a data access module, a data analysis module and a data asset management module.
5. The low-coupling high-convergence easy-multiplexing-oriented technical architecture of claim 1, wherein the application service layer comprises Web applications/Spring/SG-UAP, read/Vue, Echarts/D3.js/Highcharts, PC clients/Electron, Android/IOS, a mobile applet module, an information publishing module, an online service module, a data service system, a data reporting module, a business intelligence module and an online monitoring module.
6. The technical architecture for low-coupling high-convergence easy multiplexing according to claim 1, further comprising a security management module, wherein the security management module comprises a Web application protection wall, a DDoS protection module, an SSL certificate, a vulnerability scanning module, a database auditing module, a sensitive data protection module, an operation auditing module, a cloud security center, and an access control module.
7. The low-coupling high-convergence easy-multiplexing-oriented technical architecture as claimed in claim 1, wherein the data operation management module comprises a data development module, a task scheduling module, a monitoring warning module, an algorithm management module, a link monitoring module and a security management module.
8. The low-coupling high-convergence easy multiplexing-oriented technical architecture according to claim 1, wherein the storage computation modules comprise a batch computation module, a stream computation module, an SQL module, a NoSQL module, a distributed data warehouse and an image video data module.
9. The low-coupling high-convergence easy multiplexing-oriented technical architecture as claimed in claim 1, wherein the data analysis module comprises a statistical analysis module, a data visualization module, a machine learning module and a knowledge graph module.
10. The low-coupling high-convergence easy multiplexing-oriented technical architecture according to claim 1, wherein the artificial intelligence platform comprises a machine learning platform and an intelligent image language module.
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