CN114004585A - Power consumer data management system - Google Patents
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Abstract
The invention provides a power consumer data management system which is characterized by comprising a management module, an OBS module, an exchange module and a data processing module, wherein the management module, the OBS module and the data processing module are all connected with the exchange module; the management module is used for processing network access and exit, and realizing function online and offline management, remote operation of equipment and monitoring equipment state; the OBS module is used for providing an object storage service and storing bottom data; the switching module is used for providing an access interface for the terminal equipment, providing a convergence interface for each module and carrying out network configuration on each component; the data processing module is used for carrying out centralized processing on data, constructing a label application scene based on a data platform technology, extracting the data to create a data label, finishing a client label portrait and providing data service for the outside. By constructing an application scene, establishing a data tag, accurately constructing a user portrait, improving the data management level, providing accurate statistical data support for services, providing uniform external tag service through the system, and improving the sharing and management capacity of the data tag service.
Description
Technical Field
The invention relates to the technical field of power grid auxiliary systems, in particular to a power consumer data management system.
Background
The method comprises the steps that a power grid enterprise masters massive power user data, the deep excavation of data value is promoted, and the support of data business service becomes the key work task of the power grid enterprise.
Disclosure of Invention
The invention aims to at least solve the technical problems that in the prior art, data information management systems are not uniform, the systems are various, data are scattered, the data analysis capability is insufficient, the analysis result is not accurate enough, and an effective technical scheme cannot be provided for screening user characteristics in different application scenes.
Therefore, the invention provides a power consumer data management system.
The invention provides a power consumer data management system which comprises a management module, an OBS module, an exchange module and a data processing module, wherein the management module, the OBS module and the data processing module are all connected with the exchange module;
the management module is used for processing network access and exit, and realizing function online and offline management, remote operation of equipment and monitoring equipment state;
the OBS module is used for providing an object storage service and storing bottom data;
the switching module is used for providing an access interface for the terminal equipment, providing a convergence interface for each module and carrying out network configuration on each component;
the data processing module is used for carrying out centralized processing on data, constructing a label application scene based on a data platform technology, extracting the data to create a data label, finishing a client label portrait and providing data service for the outside.
The power consumer data management system according to the above technical solution of the present invention may further have the following additional technical features:
further, the data processing module includes a DAYU component, a MRS component, a DWS component, and a BDLC component;
the DAYU component is an intelligent data lake operation platform and is used for monitoring a data flow full link from a source end service system to a data relay station source layer, a sharing layer and an analysis layer; link tracking and fault positioning, and support the incorporation of visual link monitoring into the unified operation management of a data center station;
the MRS component is a data storage and data analysis component and is used for storing structured and unstructured data in a cluster, and performing structural and logical conversion on the data to convert the data into a data model meeting a business target;
the DWS component is an online data processing database based on a public cloud infrastructure and platform and is used for providing an instant-on, extensible and fully hosted analytical database service.
The BDLC component is a label component and is used for generating labels, and constructing report scenes of label portrait, label population analysis, label life cycle monitoring, label on-off management information and label classification statistical information.
Further, the BDLC component comprises a broad table creation module, a label management module and a label portrait module;
the wide table creating module is used for mapping the wide table configuration and the service data table, extracting intermediate result data commonly used by a plurality of labels and uniformly processing the intermediate result data into wide table data;
the label management module is used for generating labels, configuring label information and controlling the deactivation and release of the labels;
the label portrait module is used for analyzing and combining query on the label value and storing label application information such as scene portrait, group analysis and the like required by the service.
Further, a label management module is connected with the DAYU component, and the label management module comprises a label generating unit, a label updating unit, a label analyzing unit and a label issuing unit;
the label generating unit is used for configuring label basic information and service logic rules, configuring label names, catalogs, service meanings, realizing logic and other basic information;
the label updating unit is used for modifying and updating the label content according to the service requirement, optimizing the label and controlling the label to stop use;
the label analysis unit is used for dividing the group to which the label belongs, and classifying and sorting the label data;
the label issuing unit is used for issuing available labels and providing a label data basis for the label pictures.
Furthermore, the BDLC component is connected with a data center platform BI tool, and the data center platform BI tool is a business intelligent analysis tool and is used for integrating data labels, providing label reports and providing decision bases.
Further, the data center station sets an API component, and the API component is an application program interface and is used for providing an application program.
Furthermore, the management module, the OBS module, the data processing module and the exchange module are all set by double routes.
Further, the switch module includes a boundary wall component and a private line gateway component.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: the integrated data management system can acquire various data of a power network and perform centralized processing, establishes a data label through establishing an application scene, accurately establishes a user portrait, improves the data management level, provides accurate statistical data support for business, provides uniform external label service through the system, and improves the sharing and management capacity of the data label service.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic diagram of an overall architecture of a power consumer data management system according to the present invention;
FIG. 2 is a schematic flow diagram of the operation of the data processing module of the present invention;
FIG. 3 is a schematic flow diagram of the operation of the BDLC assembly of the present invention;
FIG. 4 is a network topology diagram of a power consumer data management system according to an embodiment of the present invention;
fig. 5 is a general architecture diagram of a data tag of a power consumer data management system according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein, and thus the scope of the present invention is not limited by the specific embodiments disclosed below.
The invention provides a power consumer data management system which comprises a management module, an OBS module, an exchange module and a data processing module, wherein the management module, the OBS module and the data processing module are all connected with the exchange module;
the management module is used for processing network access and exit, and realizing function online and offline management, remote operation of equipment and monitoring equipment state;
the OBS module is used for providing an object storage service and storing bottom data;
the switching module is used for providing an access interface for the terminal equipment, providing a convergence interface for each module and carrying out network configuration on each component;
the data processing module is used for carrying out centralized processing on data, constructing a label application scene based on a data platform technology, extracting the data to create a data label, finishing a client label portrait and providing data service for the outside.
The data processing module comprises a DAYU component, an MRS component, a DWS component and a BDLC component;
the DAYU component is an intelligent data lake operation platform and is used for monitoring a data flow full link from a source end service system to a data relay station source layer, a sharing layer and an analysis layer; link tracking and fault positioning, and support the incorporation of visual link monitoring into the unified operation management of a data center station;
the MRS component is a data storage and data analysis component and is used for storing structured and unstructured data in a cluster, and performing structural and logical conversion on the data to convert the data into a data model meeting a business target;
the DWS component is an online data processing database based on a public cloud infrastructure and platform and is used for providing an instant-on, extensible and fully hosted analytical database service.
The BDLC component is a label component and is used for generating labels, and constructing report scenes of label portrait, label population analysis, label life cycle monitoring, label on-off management information and label classification statistical information.
The BDLC component comprises a broad table creating module, a label management module and a label portrait module;
the wide table creating module is used for mapping the wide table configuration and the service data table, extracting intermediate result data commonly used by a plurality of labels and uniformly processing the intermediate result data into wide table data;
the label management module is used for generating labels, configuring label information and controlling the deactivation and release of the labels;
the label portrait module is used for analyzing and combining query on the label value and storing label application information such as scene portrait, group analysis and the like required by the service.
The tag management module is connected with the DAYU assembly and comprises a tag generation unit, a tag updating unit, a tag analysis unit and a tag release unit;
the label generating unit is used for configuring label basic information and service logic rules, configuring label names, catalogs, service meanings, realizing logic and other basic information;
the label updating unit is used for modifying and updating the label content according to the service requirement, optimizing the label and controlling the label to stop use;
the label analysis unit is used for dividing the group to which the label belongs, and classifying and sorting the label data;
the label issuing unit is used for issuing available labels and providing a label data basis for the label pictures.
The BDLC component is connected with a data center platform BI tool, the BDLC component is connected with the data center platform BI tool, and the data center platform BI tool is a business intelligent analysis tool and is used for integrating data labels, providing label reports and providing decision bases.
The data center sets API component, the API component is application program interface, and is used for providing application program.
The management module, the OBS module, the data processing module and the exchange module are all set by double routes.
The switch module comprises a boundary wall component and a private line gateway component.
As described in more detail below:
the power consumer data management system is connected with each module through an exchange module, the exchange module divides networks for each module and module components, and the networks formed by all the parts carry out data transmission; the access layer of the switch module provides data access interfaces for various terminal devices, source data on the side of the terminal devices are obtained, data streams are gathered and packaged through the gathering layer and the core layer of the switch module, information is transmitted between other modules, the core layer of the switch module comprises 2 mutually main and standby core switch devices, the switch module further comprises a boundary wall component and a private line gateway component, network attacks are prevented, a private line network is constructed, and the safety and reliability of the system are improved.
The OBS module passes through TOR (exchange component) with the exchange module and links to each other, the OBS module includes 2 OBS _ LVS (load balancing server) and 3 OBS Node (transfer and file storage object server), the TOR that links to each other with the OBS module includes OBS TOR and OBS rear end TOR, service information passes through OBS TOR and transmits OBS _ LVS and OBS Node respectively, the memory content passes through OBS rear end TOR and transmits to OBS Node.
The management module is connected with the exchange module through a TOR (exchange component), the management module comprises a BMC (platform management) access platform, 3 management nodes and 18 cloud service nodes, the TOR connected with the management module comprises a management TOR and a storage TOR, management information is respectively connected with the BMC access platform, the management nodes and the cloud service nodes through the management TOR, and storage content is respectively connected with the management nodes and the cloud service nodes through the storage TOR.
The data processing module is connected with the exchange module through a TOR (exchange component), the TOR connected with the data processing module comprises a management TOR, a storage TOR and a service TOR, the data processing module comprises 4 network computing fusion nodes, 21 servers, 8 high-order service sink management stations and 42 data middle stations, and the components are respectively connected with the management TOR to perform management data transmission, the service TOR to perform service data transmission and the storage TOR to perform storage content transmission.
The management TOR of each module transmits the management data to the management module, and the storage TOR transmits the storage content to the OBS module.
The DWS is an online data processing database based on a public cloud infrastructure and a public cloud platform, and provides an analysis type database service which is available on the fly, expandable and completely hosted. GaussDB (DWS) is a cloud native service based on a converged data warehouse GaussDB, is compatible with standards ANSI SQL 99 and SQL2003, and is compatible with PostgreSQL/Oracle database ecology.
The MRS is a data storage and data analysis component. MRS supports the storage of structured and unstructured data in clusters and supports multiple efficient formats to meet the requirements of different compute engines. A variety of mainstream computing engines are provided: MapReduce (batch processing), Tez (DAG model), Spark (memory computing), Spark streaming (micro-batch stream computing), Storm (stream computing) and Flink (stream computing), so that the method meets various big data application scenarios, performs structural and logical conversion on data, and converts the data into a data model meeting a business target. Hive (data warehouse), sparkSQL, and Presto interactive queries may be selected based on a pre-defined data model using easy-to-use SQL data analysis.
The DAYU is an intelligent data lake operation platform. Providing full link monitoring of data flow from a source service system to a data relay station source layer, a sharing layer and an analysis layer; the link tracking and the fault quick positioning are supported, fault information can be quickly positioned by calling a link abnormal log, and the problem can be quickly solved by combining a specific fault log; the link visual display is supported, the time consumption of each stage of the link is displayed, and the performance of time consumption information is analyzed; and visual link monitoring is integrated into data center station unified operation management.
The data processing module synchronizes a data table from a source database to a DWS assembly through a DAYU assembly, the data processing, storage, calculation and integration are carried out by an MRS assembly, mapping of a service data table is completed through a wide table creation module after the data processing module enters a BDLC assembly, certain intermediate result data commonly used by a plurality of labels are uniformly processed into wide table data, the label generation speed can be effectively improved, the label management module completes label creation by using the wide table data, a label generation unit configures information such as label basic information, service logic rules and label names in the label creation process, primary creation of the labels is completed, configuration optimization is carried out on the labels through a label updating unit, the labels can be operated to stop using, the labels are abolished, the labels which are optimized and configured pass through a group analysis unit, primary analysis and screening are carried out on the data labels, and finally the labels are issued through a label issuing unit, and completing label creation, wherein the label creation process supports visualization operation. According to the created label content, a label portrait module is used for carrying out label portrait on a user, the label portrait is connected with a BI (business information center) tool, data analysis is carried out on the label portrait according to a constructed label application scene, a report form is rapidly and accurately provided, a decision-making basis is provided, for example, the comprehensive analysis is carried out on the electricity consumption behavior data such as the number of electricity consumption users, electricity consumption addresses, electricity consumption conditions, electricity consumption fluctuation and the like in a target area, the construction of regional building vacancy rate, regional capacity analysis and enterprise energy consumption analysis label construction of enterprise scenic degree enterprises are constructed, the government is assisted to construct an enterprise energy consumption evaluation model by utilizing enterprise electricity data, the matching degree of the enterprise energy consumption level and the operation capacity is analyzed, the production and operation conditions of market enterprises are known, the current market economic environment is macroscopically analyzed, the government is assisted to identify the vacant enterprises, and the loan issuing accuracy rate can be monitored by a government financial supervision department, and credit anti-fraud offer references.
The power consumer data management system provides an open application program interface for users based on a DAYU component issuing API (application program interface) component, so that the power consumer data management system is used as a uniform outlet of power enterprise data sharing services.
The communication mode among the modules of the power consumer data management system adopts double-route setting, a standby channel is provided for a data link, the fault occurrence rate is reduced, and the system stability is improved.
The overall architecture of the data of the power consumer data management system comprises the steps of completing label construction through data access, completing data analysis by utilizing a label portrait in a label construction process, providing label service through a DAYU component, supporting label service fast packaging, hot spot label service pre-packaging and design standard data sharing processes, completing label application, constructing report type analysis scenes, providing digital products and the like.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The power user data management system is characterized by comprising a management module, an OBS module, an exchange module and a data processing module, wherein the management module, the OBS module and the data processing module are all connected with the exchange module;
the management module is used for processing network access and exit, and realizing function online and offline management, remote operation of equipment and monitoring equipment state;
the OBS module is used for providing an object storage service and storing bottom data;
the switching module is used for providing an access interface for the terminal equipment, providing a convergence interface for each module and carrying out network configuration on each component;
the data processing module is used for carrying out centralized processing on data, constructing a label application scene based on a data platform technology, extracting the data to create a data label, finishing a client label portrait and providing data service for the outside.
2. The electric power consumer data management system according to claim 1, wherein the data processing module comprises a DAYU component, a MRS component, a DWS component and a BDLC component;
the DAYU component is an intelligent data lake operation platform and is used for monitoring a data flow full link from a source end service system to a data relay station source layer, a sharing layer and an analysis layer; link tracking and fault positioning, and support the incorporation of visual link monitoring into the unified operation management of a data center station;
the MRS component is a data storage and data analysis component and is used for storing structured and unstructured data in a cluster, and performing structural and logical conversion on the data to convert the data into a data model meeting a business target;
the DWS component is an online data processing database based on a public cloud infrastructure and platform and is used for providing an instant-on, extensible and fully hosted analytical database service.
The BDLC component is a label component and is used for generating labels, and constructing report scenes of label portrait, label population analysis, label life cycle monitoring, label on-off management information and label classification statistical information.
3. The electric power consumer data management system of claim 2, wherein the BDLC component comprises a broad table creation module, a tag management module and a tag representation module;
the wide table creating module is used for mapping the wide table configuration and the service data table, extracting intermediate result data commonly used by a plurality of labels and uniformly processing the intermediate result data into wide table data;
the label management module is used for generating labels, configuring label information and controlling the deactivation and release of the labels;
the label portrait module is used for analyzing and combining query on the label value and storing label application information such as scene portrait, group analysis and the like required by the service.
4. The power consumer data management system according to claim 3, wherein a label management module is connected with the DAYU component, and the label management module comprises a label generation unit, a label updating unit, a label analysis unit and a label issuing unit;
the label generating unit is used for configuring label basic information and service logic rules, configuring label names, catalogs, service meanings, realizing logic and other basic information;
the label updating unit is used for modifying and updating the label content according to the service requirement, optimizing the label and controlling the label to stop use;
the label analysis unit is used for dividing the group to which the label belongs, and classifying and sorting the label data;
the label issuing unit is used for issuing available labels and providing a label data basis for the label pictures.
5. The power consumer data management system of claim 4, wherein the BDLC component is connected with a data center BI tool, and the data center BI tool is a business intelligence analysis tool for integrating data tags, providing tag reports and providing decision bases.
6. A power consumer data management system according to any one of claims 1 to 5, wherein the data center sets an API component, the API component being an application program interface for providing an application program.
7. An electricity consumer data management system according to any one of claims 1 to 5, wherein the management module, OBS module, data processing module and switching module all adopt a dual routing arrangement.
8. An electricity consumer data management system according to any one of claims 1 to 5, wherein the switch module includes a border wall component and a private line gateway component.
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| CN116860562A (en) * | 2023-09-04 | 2023-10-10 | 湖南中青能科技有限公司 | Method and system for monitoring data quality of data center |
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