CN104616213A - General framework of two-stage data centers of hydropower industry - Google Patents

General framework of two-stage data centers of hydropower industry Download PDF

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CN104616213A
CN104616213A CN201510071414.8A CN201510071414A CN104616213A CN 104616213 A CN104616213 A CN 104616213A CN 201510071414 A CN201510071414 A CN 201510071414A CN 104616213 A CN104616213 A CN 104616213A
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张承乾
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Inspur Electronic Information Industry Co Ltd
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Abstract

The invention discloses a general framework of two-stage data centers of the hydropower industry and relates to the management technology of the hydropower industry. The general framework includes a main framework and a branch framework. The main framework includes a main data center, the branch framework includes a branch data center, and the main data center and the branch data center form a two-stage data center. A data exchange platform is built between the two-stage data center and is used for data transmission and exchange between the two-stage data center. The two-stage data center adopts the flexible, reusable and concentrated framework, all data are subject to unified management and processing in the two-stage data center, so the traditional separate building of the frameworks according to departments or business modules is changed, an enterprise-level unique data view under unified management of the two-stage data center is achieved, and the safe, efficient and unified IT supporting platform is built.

Description

Hydropower industry two-stage data center generic structure
Technical field
The present invention relates to hydropower industry administrative skill, is exactly hydropower industry two-stage data center generic structure specifically.
Background technology
Along with the deep development of the reform of hydropower industry, on the basis of original development, information-based importance in enterprise's production and administration is more and more important, and strategic development and the industry realizing electric power enterprise of Informatization on Enterprise's upgrade and the effect importance of technology upgrading highlights.Since entering " 12 ", power industry strengthens the informatization unified management to enterprise.
Each Hydropower Enterprise ' group or company are guaranteeing group of enterprises's operation and development, the construction of IT application in enterprises are included in the development strategy of enterprise.Strengthen the leading and managing of IT application in enterprises, propose the informatization principle of " four unifications " of " unified leadership, unified planning, unified standard, organization of unity are implemented " for this reason.Set up the main flow that enterprise's integral information systems becomes power industry at present.
For adapting to the centralization of business administration, intensive management mode, the enterprise information system of each Power Group construction integration becomes principal feature.Under the construction principle of " four unifications ", each Utilities Electric Group Co. is according to enterprise's " centralization, intensive, become more meticulous " management expectancy, accelerate Enterprise Resource to integrate, strengthen " information network and basic platform is unified, application system is unified and standard, enterprise information security unification " basic strategy direction as Enterprise Information System Construction of enterprise.
Each enterprise strengthens Enterprise Information Resources Integration, by adopting the integrated technologies such as SOA, set up enterprise data center, realize enterprise data integration, application integration, Process integration and portal integration, set up group of enterprises's level unified information system, promote " lateral communication, longitudinally connection " of group of enterprises's information, General Promotion Power Group safety in production, service management ability, control dynamics and decision-making capability, for " centralization, intensive, become more meticulous " management mode of electric power enterprise production and administration is laid a good foundation.
Enterprise Data center carries the function such as core calculations, the management of information resources, information resources service of enterprise, and in today that informationization is day by day perfect, the importance of enterprise data center to Enterprise Sustainable operation is strengthened day by day.At present, the Constructing data center of China has stepped into the fast-developing phase, and the focus of concern has been placed on the Constructing data center of enterprise by the enterprise of numerous application maturation one after another, to the target of the centralized management and operation that realize data.
Summary of the invention
For the current condition of current technical development, the invention provides a kind of hydropower industry two-stage data center generic structure.
Hydropower industry two-stage data center of the present invention generic structure, the technical scheme solving the problems of the technologies described above employing is as follows: this hydropower industry two-stage data center generic structure comprises general headquarters' framework and branch's framework, containing data center of general headquarters in described general headquarters framework, containing branch data center in described branch framework, two-stage data center is formed centrally in data center of described general headquarters and branch data, data interchange platform is built between two-stage data center, data center of general headquarters passes through data interchange platform down-transmitting data to data center of branch offices, data center of branch offices passes through data interchange platform uploading data to data center of general headquarters.
Preferably, general headquarters' united portal management platform, head office business system and general headquarters' Decision Support Platform is also provided with in described general headquarters framework; Branch's united portal management platform, branch's operation system and branch decision supporting platform is also provided with in described branch framework; Described data center is responsible for Decision Support Platform and provides Data support.
Preferably, in described general headquarters framework, also dispose a set of ESB, realize the application integration of head office business system, branch's operation system.
Preferably, described branch data center is gathered by local branch operation system, integral data forms general data source, simultaneously by data center of data interchange platform Real-time Obtaining general headquarters data, form branch data warehouse, and on the basis of data warehouse service-oriented, user oriented, build Data Mart, the index system of formation standard, build the branch decision supporting platform of branch's individual demand, branch decision supporting platform carries out integrated representing by branch's united portal management platform simultaneously.
Preferably, transmitted by MSTP Ethernet Private Line and VPN traffic between described general headquarters framework and branch's framework; Described general headquarters framework is also provided with application system, and described branch framework is also provided with application system; Described application system is based on hydropower industry core business, user oriented, service-oriented need to carry out demand analysis, utilize the developer component of third party's report tool bag to carry out data exhibiting, its content comprises decision-assisting analysis, market management analysis, financial analysis, capital management analysis, Analysis on Human Resources, the analysis of equipment goods and materials, project management analysis.
Preferably, data center of described general headquarters and branch data central whole framework are consistent, all built by EIL, DW, OLAP technology, this two-stage data center comprises data source, data backup layer, ODS data Layer, DW data Layer, data set city level, model layer.
The beneficial effect that hydropower industry two-stage data center of the present invention generic structure compared with prior art has is: constructed two-stage data center architecture is consistent substantially, is conducive to the expansion of infosystem and tackles business change fast; By building two-stage data interchange platform, promote the data exchange capability of two-stage infosystem; Reflected the running status of enterprise by decision analysis platform in real time, by the visualizing data gathered, visualize, specialize; Build ESB, realize the application integration of two-stage information system, complete service encapsulates, issue, share, promote operation system interaction capabilities, realize information system value maximization;
This hydropower industry two-stage data center adopts framework that is flexible, reusable, that concentrate, and all data are all in the unified management of two-stage data center and processing.The design concept at centralized data processing and Enterprise Data center, change in the past by the way that department or business module are independently built, realize the enterprise-level unique data view under the unified management of two-stage data center, make safety, highly efficient, unified IT support platform;
Adopt hydropower industry two-stage data center of the present invention generic structure, user can pass through a main interface, directly enters into the Decision Support Platform of enterprise, operates and analyze all operations index neatly, reaches the object that the overall situation is controlled.
Accompanying drawing explanation
Accompanying drawing 1 is the schematic diagram of hydropower industry two-stage data center generic structure;
Accompanying drawing 2 is the physical structure figure of hydropower industry two-stage data center generic structure;
Accompanying drawing 3 is the data shelf composition of two-stage data center.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with specific embodiment, and with reference to accompanying drawing, hydropower industry two-stage data center of the present invention generic structure is further described.
The present invention proposes a kind of hydropower industry two-stage data center generic structure, complete hydropower industry two-stage data center to build, this generic structure comprises general headquarters' framework and branch's framework, containing data center of general headquarters in described general headquarters framework, containing branch data center in described branch framework, be formed centrally two-stage data center in data center of described general headquarters and branch data, and two-stage data center architecture is consistent substantially, is conducive to the expansion of infosystem and tackles business change fast; Simultaneously, data interchange platform is built between two-stage data center, data interchange platform provides real-time data exchange capability, supported data two-way interactive, data center of general headquarters is by data interchange platform down-transmitting data to data center of branch offices, and data center of branch offices passes through data interchange platform uploading data to data center of general headquarters; The longitudinal direction realizing data is through, promotes the data exchange capability of two-stage data center information system.
Embodiment 1:
Hydropower industry two-stage data center generic structure described in the present embodiment, as shown in Figure 1, is provided with general headquarters' united portal management platform, head office business system, bus data center and general headquarters' Decision Support Platform in described general headquarters framework; Branch's united portal management platform, branch's operation system, branch data center and branch decision supporting platform is provided with in described branch framework.Data center is responsible for Decision Support Platform and provides Data support.Data center of described general headquarters and branch data center are by data interchange platform alternating transmission data.
Described branch data center is gathered by local branch operation system, integral data forms general data source, simultaneously by data center of data interchange platform Real-time Obtaining general headquarters data, form branch data warehouse, and on the basis of data warehouse service-oriented, user oriented, build Data Mart, the index system of formation standard, build the branch decision supporting platform having standardization and branch's individual demand concurrently, branch decision supporting platform carries out integrated representing by branch's united portal management platform simultaneously.
This hydropower industry two-stage data center generic structure, according to SOA technology, according to service ability, application integration is carried out to general headquarters, branch's two levels of traffic system, realize service encapsulates, service registry, service issue, service call etc., and according to classification of service, the data, services of basis of formation and business service, excavate existing system service ability, the rapid deployment of supporting business to greatest extent.Also dispose a set of ESB in described general headquarters framework, realize the application integration of head office business system, secondary branch operation system.
Described general headquarters, branch's two-stage Constructing data center, will utilize the existing server resource of user as far as possible, if existing server resource cannot meet the requirement of data center, then consider the better server of buying performance.Distribution is disposed ETL, BI report form showing instrument, data warehouse by data center; Installation enterprises service bus software, provides the service of unified business data bus, disposes the real-time propagation software of data simultaneously, builds business data switching plane with branch framework.Hydropower industry two-stage data center adopts framework that is flexible, reusable, that concentrate, and all data are all in the unified management of two-stage data center and processing.The design concept at centralized data processing and Enterprise Data center, change in the past by the way that department or business module are independently built, realize the enterprise-level unique data view under the unified management of two-stage data center, make safety, highly efficient, unified IT support platform.
As shown in Figure 2, in hydropower industry two-stage data center generic structure described in the present embodiment, transmitted by MSTP Ethernet Private Line and VPN traffic between described general headquarters framework and branch's framework; Be provided with data center of general headquarters, ESB and application system in described general headquarters framework, in described branch framework, be provided with branch data center and application system; Described general headquarters, drop applications system are based on hydropower industry core business, and user oriented, service-oriented need to carry out demand analysis, and structure meets business development needs, takes into account the application of the abundant business of standardization and personal needs; Utilize the developer component of third party's report tool bag to carry out data exhibiting, comprise decision-assisting analysis, market management analysis, financial analysis, capital management analysis, Analysis on Human Resources, the analysis of equipment goods and materials, project management analysis etc.The present embodiment adopts above-mentioned application system to carry out general headquarters, branch decision supporting platform Applications construct.The business roles of the various different levels of each analysis theme To enterprises.
Embodiment 2:
Hydropower industry two-stage data center generic structure described in the present embodiment, be with the difference of embodiment 1, data center of described general headquarters and branch data central whole framework are consistent, all built by EIL, DW, OLAP technology, and this two-stage data center realizes real-time, two-way exchanges data by data interchange platform, the real-time Replication Tools of data are utilized synchronously to copy, data transmission between the upper and lower two-stage data center of primary responsibility exchanges, and is the sole outlet that data center's outbound data exchanges; As shown in Figure 3, this two-stage data center comprises data source, data backup layer, ODS data Layer, DW data Layer, data set city level, model layer.
Below two-stage data center described in the present embodiment is described in detail:
Described data source comprises the basic business system of hydropower industry: data in financial system, funds systems, investment system, equipment goods and materials system, human resource system, market management system etc.; Also have the data from the manual amended record of business personnel simultaneously.Data Integration is carried out according to the difference that data source systems exists in technology and data; In data file interface standard, importing, cleaning, transfer process, processing process is carried out to data, even take the means of artificial treatment, improve the quality of data, to ensure the quality of Data Warehouse, thus ensure the outcome quality of the application be based upon on data set city level.
Described data backup layer: hydropower industry two-stage data center data, in order to reduce data source systems pressure, improve stability and security, increase data backup layer; Described data backup district is respectively as the Data entries of hydropower industry two-stage data center, and for two-stage, data center provides data supporting.
Described ODS (Operational Data Store, operation data stornge) data Layer: store full dose history and paste source data, for downstream application system provides the historical data access region of subsides source (data structure, data layout, data granularity are preserved consistent with origin system).Namely described ODS data Layer provides unified source system data access services for described two-stage data center.
Described DW data Layer: store data source basic data, the topic model such as finance, human resources, engineering management, performance analysis, equipment goods and materials, engineering management of reference basis data standard builds, the unified calculation of optimized integration data, store and management; This layer carries out system-level, subject matter level Data Integration to data, and for the deduction of follow-up market demand supports, there is a large amount of table Join, Merge, Lookup process this data field.
Described data set city level: application oriented, to meet final user's demand data, the data in Data Mart are denormal, gather.For the application of Decision Support Platform to DW data Layer provides data and efficient data access.
Described model layer: by OLAP technology, the multidimensional analysis models (multi-dimension data cube) utilizing the data of data warehouse to set up according to user's request, model stores in a particular manner, substantially increase the efficiency of front end queried access, user can realize flexibly easily, dynamically, fast, multi-angle, analyze business data at many levels.Meanwhile, also detailed data can be understood by customizing OLTP inquiry flexibly.
The present embodiment is built on the basis of data center, and data center is responsible for Decision Support Platform and provides Data support.Decision Support Platform by important analysis index extraction relevant for relational users out, with visual pattern directly perceived, reconfigure and configuration, integrated and represent at unified interface, realize dynamic inquiry and analyse in depth, for user provides a comprehensive Decision Support Platform.User, by a main interface, directly enters into the Decision Support Platform of enterprise, operates and analyze all operations index neatly, reaches the object that the overall situation is controlled.
The main user oriented leadership of described Decision Support Platform, business personnel, marketing personal etc., its content covers the comprehensive operation situation of enterprise and unit at different levels, comprises following plate: decision-assisting analysis, market management analysis, financial analysis, Analysis on Human Resources, capital management analysis, the analysis of equipment goods and materials, project management analysis, investment analysis, power plant analyze.Being responsible for carrying out front end by form platform to represent and application integration, by generating the modes such as graphic interface, form and multidimensional exhibition, each index being represented.Decision analysis platform by the monitoring of index and early warning, report query, comprehensively to analyze, the figure of abundant business model, multidimensional shows that the running status of the enterprise of reflection in real time by the visualizing data gathered, visualize, is specialized.
The present invention is in two-stage Constructing data center process, because normative standard work is element task, implementing the standard card cage specification of basis of formation in early stage, and according to two-stage data center system and subunits performance in building process, write detailed, enforceable standard criterion, specifically comprise following specification: " hydropower industry two-stage data center architecture System Construction standard " (comprising software and hardware architecture environmental standard, level standard, regional standard etc.); " hydropower industry data acquisition specification "; " hydropower industry Data Data fairground design specifications "; " hydropower industry data exhibiting design specifications "; " hydropower industry centralization ESB Services Integration specification "; " hydropower industry exchanges data and Services Integration specification "; " hydropower industry decision support index system standard criterion " etc.
Below to involved in the present invention to portion of techniques term be described:
SOA(Services Oriented Achitecture) be a component model, it is by the different function units (being called service) of application program, by defining good interface and contract connects between these services.Service layer is the basis of SOA, can directly be employed to call, thus artificial dependence mutual with ageng in effective control system;
ETL(data warehouse technology) to be used for describing by data from source terminal through extraction, transposition, to be loaded on the process of destination.ETL is the important ring building data warehouse, and user extracts required data from data source, through data cleansing, finally according to the data warehouse model pre-defined, by Data import in data warehouse;
ODS(Operational Data Store) be a selective sections in data warehouse architecture, ODS possesses the Partial Feature of data warehouse and the Partial Feature of OLTP system, and it is " subject-oriented, integrated, current or close to current, constantly change " data;
DW is the What You See Is What You Get Web page editor integrating webpage making and managing web of MACROMEDIA company of U.S. exploitation, DW is the visualization HTML Developing tool that first set develops especially for professional webpage designer, utilizes it to produce easily and crosses over the webpage being full of innervation that platform limited and crossed over browser restriction;
Data Mart (Data Mart), is also Data Market, is a warehouse collecting data from the data of operation and other the data source for certain special professional's community services.From scope, data are database, data warehouse from enterprise-wide, or extract in more professional data warehouse;
OLAP(on-line analytical processing) be shared multidimensional information, for particular problem on line data access and analyze Fast Software technology.On-line analysing processing system is the topmost application of data warehouse, specialized designs is for supporting complicated analysis operation, stress the decision support to decision-maker and senior management staff, can according to the requirement of analyst fast, carry out the complex query processing of big data quantity neatly, and with a kind of form directly perceived and understandable, Query Result is supplied to decision-maker.
Above-mentioned embodiment is only concrete case of the present invention; scope of patent protection of the present invention includes but not limited to above-mentioned embodiment; any claims according to the invention and any person of an ordinary skill in the technical field to its suitable change done or replacement, all should fall into scope of patent protection of the present invention.

Claims (6)

1. hydropower industry two-stage data center generic structure, it is characterized in that, comprise general headquarters' framework and branch's framework, containing data center of general headquarters in described general headquarters framework, containing branch data center in described branch framework, two-stage data center is formed centrally in data center of described general headquarters and branch data, data interchange platform is built between two-stage data center, data center of general headquarters is by data interchange platform down-transmitting data to data center of branch offices, and data center of branch offices passes through data interchange platform uploading data to data center of general headquarters.
2. hydropower industry two-stage data center generic structure according to claim 1, is characterized in that, be also provided with general headquarters' united portal management platform, head office business system and general headquarters' Decision Support Platform in described general headquarters framework; Branch's united portal management platform, branch's operation system and branch decision supporting platform is also provided with in described branch framework; Described data center is responsible for Decision Support Platform and provides Data support.
3. hydropower industry two-stage data center generic structure according to claim 2, is characterized in that, also dispose a set of ESB in described general headquarters framework, realize the application integration of head office business system, branch's operation system.
4. hydropower industry two-stage data center generic structure according to claim 3, it is characterized in that, described branch data center is gathered by local branch operation system, integral data forms general data source, simultaneously by data center of data interchange platform Real-time Obtaining general headquarters data, form branch data warehouse, and on the basis of data warehouse service-oriented, user oriented, build Data Mart, the index system of formation standard, build the branch decision supporting platform of branch's individual demand, branch decision supporting platform carries out integrated representing by branch's united portal management platform simultaneously.
5. hydropower industry two-stage data center generic structure according to claim 1, is characterized in that, is transmitted between described general headquarters framework and branch's framework by MSTP Ethernet Private Line and VPN traffic; Described two-stage data center is all provided with application system; Described application system is based on hydropower industry core business, user oriented, service-oriented need to carry out demand analysis, utilize the developer component of third party's report tool bag to carry out data exhibiting, its content comprises decision-assisting analysis, market management analysis, financial analysis, capital management analysis, Analysis on Human Resources, the analysis of equipment goods and materials, project management analysis.
6. hydropower industry two-stage data center generic structure according to claim 1 or 5, it is characterized in that, data center of described general headquarters and branch data central whole framework are consistent, all built by EIL, DW, OLAP technology, this two-stage data center comprises data source, data backup layer, ODS data Layer, DW data Layer, data set city level, model layer.
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Cited By (6)

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Publication number Priority date Publication date Assignee Title
CN105678468A (en) * 2016-01-21 2016-06-15 国家电网公司 Application method of two-dimension code in construction process management in water conservancy and hydropower industry
CN107908672A (en) * 2017-10-24 2018-04-13 深圳前海微众银行股份有限公司 Application report implementation method, equipment and storage medium based on Hadoop platform
CN110188149A (en) * 2019-06-04 2019-08-30 宁波银行股份有限公司 A kind of data warehouse
CN110390475A (en) * 2019-07-10 2019-10-29 国电南京自动化股份有限公司 A kind of early warning and decision support method based on group's big data
CN111145843A (en) * 2019-11-27 2020-05-12 陕西医链区块链集团有限公司 Multi-center integration platform and method based on medical big data
CN112363998A (en) * 2020-11-12 2021-02-12 浙江非线数联科技有限公司 Data application framework based on data standard and implementation method

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CN104102973A (en) * 2014-07-04 2014-10-15 云南电力调度控制中心 Realization method of integral operation and distributed deployment provincial and prefectural electric power scheduling data center
CN104134121A (en) * 2014-07-30 2014-11-05 国家电网公司 Method for achieving visualization of power grid information system business data

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CN104102973A (en) * 2014-07-04 2014-10-15 云南电力调度控制中心 Realization method of integral operation and distributed deployment provincial and prefectural electric power scheduling data center
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Publication number Priority date Publication date Assignee Title
CN105678468A (en) * 2016-01-21 2016-06-15 国家电网公司 Application method of two-dimension code in construction process management in water conservancy and hydropower industry
CN107908672A (en) * 2017-10-24 2018-04-13 深圳前海微众银行股份有限公司 Application report implementation method, equipment and storage medium based on Hadoop platform
CN110188149A (en) * 2019-06-04 2019-08-30 宁波银行股份有限公司 A kind of data warehouse
CN110390475A (en) * 2019-07-10 2019-10-29 国电南京自动化股份有限公司 A kind of early warning and decision support method based on group's big data
CN111145843A (en) * 2019-11-27 2020-05-12 陕西医链区块链集团有限公司 Multi-center integration platform and method based on medical big data
CN112363998A (en) * 2020-11-12 2021-02-12 浙江非线数联科技有限公司 Data application framework based on data standard and implementation method
CN112363998B (en) * 2020-11-12 2021-06-29 浙江非线数联科技股份有限公司 Data application system and method based on data standard

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Application publication date: 20150513