CN113506098A - Power plant metadata management system and method based on multi-source data - Google Patents
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Abstract
The invention discloses a power plant metadata management system and method based on multi-source data, which comprises a data source defining module, a data source configuring module, a data source scheduling and collecting module and a metadata management module, wherein the data source defining module is used for defining a data source; the data source defining module is used for acquiring multi-source data and defining adaptation information of a power plant data source according to the data source; the configuration data source module is used for configuring parameter information of a power plant data source according to the adaptation information; the data source scheduling and collecting module is used for automatically or manually executing metadata collection or analytic scheduling in a power plant scene according to the data source adaptation information; and the metadata management module is used for managing metadata related to the power plant data resources. The invention provides a solution for centralized management of data resources for the power plant, provides data source adaptation suitable for different scenes, and lays a solid foundation for constructing the full life cycle management of the data assets of the power plant by integrating and centralized management of all scattered data resources of the power plant.
Description
Technical Field
The invention belongs to the technical field of power plant data resource management, and particularly relates to a power plant metadata management system and method based on multi-source data.
Background
With the pace of the informatization development of power plants, different informatization systems are also deployed in each power plant and each department under a group, so that the work flow is simplified, and the work efficiency of the departments is improved. However, these different business systems further cause a large amount of data islands among power plants, between production departments and other business departments, and how to solve the problem of data islands and how to solve the problem of statistical aperture of business departments becomes an urgent problem to be faced.
The data of the power plant is various and complicated, is mainly divided into production data and business data, and is mainly oriented to production personnel and department business personnel. The production data of the power plant is typically stored in a time series database, while the business data is stored in a relational database. As specific services of a power plant are used, a plurality of service systems exist in the power plant, and the service properties of service personnel are different, the definition interpretation, the statistical aperture and the calculation mode of the same type of data for different use departments are greatly different, so that the method is particularly important for unifying data sources according to different apertures. Moreover, some examined indexes exist in the business system, and how to determine the indexes as the unique source is important.
The power plant data resources are generally distributed in a database of a machine room server of a data center and also distributed in a data processing tool or a data file, so that the production or business data sources of the power plant are diverse, dispersive, complex and special, the dispersive data resources are managed in a centralized manner, users of the data use the data, and managers of the data application manage the data.
The data source adaptation mode is that a source area of the data resource is obtained through demand communication and field investigation, and the type and the classification of the data adaptation source are determined according to the obtained data source information. However, when a data resource source is newly added, a background is required to perform corresponding data source adaptation research and development and test, so that the maintenance cost of the data assets is increased, the data resource application efficiency is reduced, subsequent extensible adaptation of the data sources cannot be flexibly and effectively performed, and the value of the data assets of the power plant cannot be accurately and comprehensively analyzed.
Therefore, the invention provides a power plant metadata management system and method based on multi-source data.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a power plant metadata management system and method based on multi-source data, so that multi-data source adaptation is realized, and comprehensive management and control are performed on scattered data assets in a power plant.
The invention adopts the following technical scheme.
A power plant metadata management system based on multi-source data comprises a definition data source module, a configuration data source module, a data scheduling and collecting module and a metadata management module;
the data source defining module is used for acquiring multi-source data and defining adaptation information of a data source according to the data source; the data source configuration module is used for configuring parameter information of the data source according to the data source adaptation information; the data scheduling and collecting module is used for automatically or manually executing the metadata collection or the analysis scheduling of the power plant service scene according to the data source adaptation information; and the metadata management module is used for managing metadata related to the power plant data resources.
Further, the management of metadata related to the power plant data resources comprises metadata maintenance, metadata relationship analysis, metadata change, metadata subscription, metadata version, full-chain analysis, influence analysis, blood relationship analysis and data maps.
Further, the power plant data comprises production data and business data, the production data source is a time sequence database, and the business data source comprises a traditional relational database, a data tool and a data file.
Further, the adaptation information defining the data source comprises the type, small version, connection driver, link parameter and collection mode of the data source.
Further, the configuring of the parameter information of the data source includes setting a basic attribute of the data source, selecting adaptation of the corresponding data source, configuring adaptation parameters, and selecting an acquisition mode.
Furthermore, the data scheduling and collecting module comprises a data unit, a collecting task unit, a scheduling platform unit and a server unit; the data unit is used for storing production and service data resources of the power plant, the collection task unit is used for creating a metadata task for scheduling collection or analyzing the power plant, the scheduling platform unit is used for issuing the created scheduling task to the server unit, and the server unit is used for executing the collection task generated by the scheduling platform according to the collection request and carrying out real-time scheduling monitoring on the collection task.
A power plant metadata management method based on multi-source data, the method comprising the steps of:
step one, according to a power plant production and business data source, defining adaptation information of the power plant data source;
step two, configuring parameter information of a power plant data source according to the adaptation information to complete data source adaptation;
automatically or manually executing power plant service scene metadata acquisition or analysis scheduling according to the data source adaptation condition;
and fourthly, performing metadata management of the power plant data resource association according to the association relationship among the metadata.
Further, in the third step, the metadata path for collecting the metadata under the data source includes JDBC, API encapsulation, file collection, and interface encapsulation.
Further, in the third step, the metadata under the data source is analyzed, and the main foreign key relationship between tables of the metadata is obtained; analyzing the data file in the data tool packaged by the interface, acquiring the data source, the data table and the flow direction relation between the source table and the target table in the data transmission tool, and identifying the data flow direction relation of the metadata.
Further, in the fourth step, the platform database stores the metadata information, the historical metadata, the metadata version and the association relationship among the metadata, and performs metadata management of power plant data resource association according to the association relationship among the metadata, including aggregation relationship and value analysis of the data resources.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a solution for centralized management of data resources for the power plant, and forms a unified view of the data assets of the power plant with clear structure and comprehensive coverage. And the method provides a quick data source adaptation suitable for different scenes for the user. And a solid foundation is laid for constructing the whole life cycle management of the data assets of the power plant by integrating and centrally managing all scattered data resources of the power plant. Through the rapid retrieval of data resources and the panoramic view, data can be really used by data users.
The invention constructs a power plant multi-data-source adaptive acquisition and analysis system, provides the maintenance, management and use capabilities of the system, forms a set of power plant data assets with clear structure, comprehensive coverage and effective data, and carries out all-round management and control on the scattered data assets in the power plant.
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FIG. 1 is a schematic diagram of a multi-source data-based power plant metadata management system according to the present invention;
FIG. 2 is a flow chart diagram of a power plant metadata management method based on multi-source data.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
As shown in FIG. 1, the power plant metadata management system based on multi-source data comprises a defined data source module, a configuration data source module, a data scheduling and collecting module and a metadata management module.
The data source defining module is used for defining source adaptation of the power plant data resources and defining adaptation information of classification of the power plant data sources according to the data sources; the configuration data source module is used for configuring parameter information of a power plant data source according to the adaptation information; the data scheduling and collecting module is used for automatically or manually executing metadata collection or analytic scheduling in a power plant scene according to the data source adaptation condition; and the metadata management module is used for managing metadata related to the power plant data resources.
The method improves the automation degree of metadata acquisition of the power plant, simplifies the product implementation workload, optimizes the metadata acquisition process of the power plant, and ensures the timeliness and the accuracy of the data resources of the power plant and the data association acquisition based on the automatic identification of the data resources.
The power plant data comprises production data and business data, the production data is generally sourced from a time sequence database, and the business data sources comprise a traditional relational database, a data tool, a data file and the like.
The system comprises a data source defining module, a data source classifying module and a data source classifying module, wherein the data source defining module defines the adaptive information of the power plant data source classification of various specifications according to the power plant production and service data sources; specifically, information such as the type, small version, connection driver, link parameter, and acquisition mode setting of the data source is defined.
The system comprises a data source configuration module, a data source acquisition adapter for configuring a data source of the adaptive data scheduling acquisition module, and a parameter configuration module, wherein the data source acquisition adapter is used for configuring parameters of the data source according to adaptive information of power plant data sources of various specifications and providing technical support for configuring the power plant data sources.
Setting basic attributes of the data source according to actual data requirements, selecting information such as corresponding data source adaptation, configuring adaptation parameters, selecting an acquisition mode and the like, and testing the accuracy of parameter configuration of the data source after the setting is finished.
The configuration data source module supports various parameter configuration JDBC for the power plant data source, also supports various acquisition channels for providing jar packets or program code link data sources, supports custom adaptation, and can expand and define adaptation information according to actual requirements.
The data scheduling and collecting module comprises a data source unit, a collecting task unit, a scheduling platform unit and a server unit; the data source unit is connected with the collection task unit, the collection task unit is connected with the scheduling platform unit, and the scheduling platform unit is connected with the server unit.
The data unit is used for storing production and service data resources of the power plant, the collection task unit is used for creating a metadata task for scheduling collection or analyzing a service scene of the power plant, the scheduling platform unit is used for issuing the created scheduling task to the server unit, and the server unit is used for executing the collection task generated by the scheduling platform according to the collection request and carrying out real-time scheduling monitoring on the collection task.
And the data scheduling and collecting module automatically (or manually) executes metadata collection or analyzes scheduling tasks according to the adaptation condition of the power plant data source, extracts technical metadata from boring power plant data resources, maintains the metadata and intelligently identifies the metadata relationship.
The metadata management module manages metadata associated with the power plant data resources, and at least comprises the following steps: the system comprises metadata maintenance, metadata relationship analysis, metadata change, metadata subscription, metadata version, full-chain analysis, influence analysis, blood relationship analysis and a data map, and is used for standard management and standard operation and maintenance of power plant level data resource associated metadata.
The method carries out metadata management on metadata acquired based on multiple modes of data source adaptation, and carries out standard management and standard operation and maintenance on the associated metadata of the power plant level data resources.
The invention also comprises a data sensitive protection module which is used for data security protection in the data transmission process. And in the data transmission process, sensitive data is set for data sensitivity protection, the sensitive data is extracted, and MD5 encryption of the sensitive data is performed to ensure data security.
The invention relates to acquisition adaptation of time sequence data sources, which realizes the adaptation of various versions of time sequence databases such as VeStore, VeStore-TSDB and the like and the measurement point information of batch (or single) acquisition time sequence databases by packaging API service interfaces, INI system acquisition configuration and calling dll system configuration of various versions corresponding to various time sequence data sources. The metadata management of the time sequence database is realized through module functions of measuring point acquisition, Chinese localization maintenance, batch updating, version management and the like of the time sequence data source.
As shown in fig. 2, the present invention further provides a power plant metadata management method based on multi-source data, which includes the following specific steps:
step one, defining adaptive information of power plant data source classification according to a power plant production and business data source; specifically, information such as the type, small version, connection driver, link parameter, and acquisition mode setting of the data source is defined.
Available power plant data source adaptation information that can be supported in this embodiment includes:
the power plant data source of the relational database is various mainstream DB databases (including domestic databases such as Dameng), and the acquisition mode is JDBC and metadata acquisition;
the power plant data sources of the time sequence database are VeStore3.0/5.0 and VeStore-TSDB, and the collection mode is API packaging and metadata collection;
the power plant data source of the data modeling tool is PowerDesigner, and the collection mode is interface packaging and metadata analysis;
the power plant data source of the data transmission tool is ETL (keyboard), and the collection mode is interface packaging and metadata analysis;
the power plant data source of the data file is Excel, Xml and text, and the acquisition mode is file acquisition; and custom toolkits or service packages, etc.
Step two, configuring parameter information of a power plant data source according to the adaptation information to complete data source adaptation;
specifically, the basic attribute of the data source is set according to the actual data requirement, information such as corresponding data source adaptation, adaptive parameter configuration, acquisition mode selection and the like is selected, and the accuracy of data source parameter configuration is tested after the setting is finished.
Automatically or manually executing metadata acquisition or analysis scheduling of a power plant service scene according to the condition of data source adaptation;
acquiring metadata, namely acquiring data described by data in a data source, namely metadata including tables, fields, views, functions, storage processes and the like, generally by means of JDBC, API encapsulation, file acquisition, interface encapsulation and the like; and automatically packaging according to the technology and management attributes in the metadata information under the acquired data source, and perfecting the technical ledger and partial management ledger information of the metadata.
Analyzing metadata, generally in a JDBC or interface packaging implementation method, analyzing sql statements in a view or storage process under a data source obtained by the JDBC, and intelligently obtaining a main foreign key relation between tables for acquiring the metadata; data files in a data tool (such as an ETL tool) packaged through an interface are collected and analyzed, a data source, a data table and a flow direction relation between a source table and a target table in the data transmission tool are obtained, and the data flow direction relation of metadata is intelligently identified.
And fourthly, performing power plant data resource integration management according to the incidence relation among the metadata.
Specifically, the platform database stores metadata information, historical metadata, metadata versions and relationships among the metadata, and performs aggregation relationship and value analysis on data resources according to incidence relationships (or isolated relationships) among the metadata, so that metadata maintenance, metadata relationship analysis, metadata change, metadata subscription, metadata versions, full-chain analysis, influence analysis, blood relationship analysis, data map and version tracing requirements of metadata management application are met.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a solution for centralized management of data resources for the power plant, and forms a unified view of the data assets of the power plant with clear structure and comprehensive coverage. And the method provides a quick data source adaptation suitable for different scenes for the user. And a solid foundation is laid for constructing the whole life cycle management of the data assets of the power plant by integrating and centrally managing all scattered data resources of the power plant. Through the rapid retrieval of data resources and the panoramic view, data can be really used by data users.
The invention constructs a power plant multi-data-source adaptive acquisition and analysis system, provides the maintenance, management and use capabilities of the system, forms a set of power plant data assets with clear structure, comprehensive coverage and effective data, and carries out all-round management and control on the scattered data assets in the power plant.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
Claims (10)
1. A power plant metadata management system based on multi-source data is characterized by comprising a definition data source module, a configuration data source module, a data scheduling and collecting module and a metadata management module;
the data source defining module is used for acquiring multi-source data and defining adaptation information of a data source according to the data source; the data source configuration module is used for configuring parameter information of the data source according to the data source adaptation information; the data scheduling and collecting module is used for automatically or manually executing the metadata collection or the analysis scheduling of the power plant service scene according to the data source adaptation information; and the metadata management module is used for managing metadata related to the power plant data resources.
2. The multi-source data-based plant metadata management system of claim 1,
the management of metadata associated with the power plant data resources comprises metadata maintenance, metadata relationships, metadata changes, metadata subscriptions, metadata versions, full-chain analysis, impact analysis, blood relationship analysis and data maps.
3. The multi-source data-based plant metadata management system of claim 1,
the power plant data comprises production data and business data, the production data source is a time sequence database, and the business data source comprises a traditional relational database, a data tool and a data file.
4. The multi-source data-based plant metadata management system of claim 1,
the adaptation information defining the data source comprises the type, small version, connection drive, link parameter and collection mode of the data source.
5. The multi-source data-based plant metadata management system of claim 1,
the parameter information of the configuration data source comprises setting basic attributes of the data source, selecting adaptation of the corresponding data source, configuring adaptation parameters and selecting an acquisition mode.
6. The multi-source data-based plant metadata management system of claim 1,
the data scheduling and collecting module comprises a data unit, a collecting task unit, a scheduling platform unit and a server unit;
the data unit is used for storing production and service data resources of the power plant, the collection task unit is used for creating a metadata task for scheduling collection or analyzing the power plant, the scheduling platform unit is used for issuing the created scheduling task to the server unit, and the server unit is used for executing the collection task generated by the scheduling platform according to the collection request and carrying out real-time scheduling monitoring on the collection task.
7. A power plant metadata management method based on multi-source data is characterized by comprising the following steps:
step one, according to a power plant production and business data source, defining adaptation information of the power plant data source;
step two, configuring parameter information of a power plant data source according to the adaptation information to complete data source adaptation;
automatically or manually executing power plant service scene metadata acquisition or analysis scheduling according to the data source adaptation condition;
and fourthly, performing metadata management of the power plant data resource association according to the association relationship among the metadata.
8. The multi-source data-based plant metadata management method of claim 7,
in the third step, the metadata collecting way under the data source comprises JDBC, API packaging, file collecting and interface packaging.
9. The multi-source data-based plant metadata management method of claim 7,
in the third step, the metadata under the data source is analyzed, and the main foreign key relation between tables of the metadata is obtained; analyzing the data file in the data tool packaged by the interface, acquiring the data source, the data table and the flow direction relation between the source table and the target table in the data transmission tool, and identifying the data flow direction relation of the metadata.
10. The multi-source data-based plant metadata management method of claim 7,
in the fourth step, the platform database stores the metadata information, the historical metadata, the metadata version and the incidence relation among the metadata, and performs metadata management of power plant data resource incidence according to the incidence relation among the metadata, including aggregation relation and value analysis of the data resources.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115049316A (en) * | 2022-08-12 | 2022-09-13 | 青岛巨商汇网络科技有限公司 | Digital management method for operation data |
| CN116881319A (en) * | 2023-09-06 | 2023-10-13 | 杭州比智科技有限公司 | Metadata acquisition system and method for rapidly realizing metadata acquisition and storage |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069690A (en) * | 2015-06-11 | 2015-11-18 | 国家电网公司 | Power grid operating data processing method |
| CN108846076A (en) * | 2018-06-08 | 2018-11-20 | 山大地纬软件股份有限公司 | The massive multi-source ETL process method and system of supporting interface adaptation |
| CN110765337A (en) * | 2019-11-15 | 2020-02-07 | 中科院计算技术研究所大数据研究院 | Service providing method based on internet big data |
| CN112163724A (en) * | 2020-08-05 | 2021-01-01 | 宁夏无线互通信息技术有限公司 | Environment information data resource integration system |
| CN112396404A (en) * | 2020-11-27 | 2021-02-23 | 广州光点信息科技有限公司 | Data center system |
| CN112699175A (en) * | 2021-01-15 | 2021-04-23 | 广州汇智通信技术有限公司 | Data management system and method thereof |
-
2021
- 2021-09-10 CN CN202111058893.1A patent/CN113506098A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069690A (en) * | 2015-06-11 | 2015-11-18 | 国家电网公司 | Power grid operating data processing method |
| CN108846076A (en) * | 2018-06-08 | 2018-11-20 | 山大地纬软件股份有限公司 | The massive multi-source ETL process method and system of supporting interface adaptation |
| CN110765337A (en) * | 2019-11-15 | 2020-02-07 | 中科院计算技术研究所大数据研究院 | Service providing method based on internet big data |
| CN112163724A (en) * | 2020-08-05 | 2021-01-01 | 宁夏无线互通信息技术有限公司 | Environment information data resource integration system |
| CN112396404A (en) * | 2020-11-27 | 2021-02-23 | 广州光点信息科技有限公司 | Data center system |
| CN112699175A (en) * | 2021-01-15 | 2021-04-23 | 广州汇智通信技术有限公司 | Data management system and method thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115049316A (en) * | 2022-08-12 | 2022-09-13 | 青岛巨商汇网络科技有限公司 | Digital management method for operation data |
| CN116881319A (en) * | 2023-09-06 | 2023-10-13 | 杭州比智科技有限公司 | Metadata acquisition system and method for rapidly realizing metadata acquisition and storage |
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Application publication date: 20211015 |