CN110490761B - Power grid distribution network equipment ledger data model modeling method - Google Patents
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Abstract
The invention discloses a method for modeling a network distribution equipment ledger data model of a power grid, which comprises the following steps: determining a service scene; confirming service key points and data sources according to the service scene; determining a design principle of the data model field according to the unique data source of the data model field determined by the data source, and forming a data model analysis result; designing a power grid distribution network equipment ledger data model according to the data model analysis result; designing a data model database according to the power grid distribution network equipment ledger data model; and verifying the power grid distribution network equipment ledger data model by an external data application system. According to the method for modeling the ledger data model of the power grid distribution network equipment, data combing, analysis and modeling are carried out under the driving of a business scene, so that business requirements are met; unified service semantics, service codes and technical standards are provided for all service systems, a unified distribution network equipment ledger data model is established, and equipment ledger data sharing and interaction efficiency is improved.
Description
Technical Field
The invention relates to the technical field of distribution automation, in particular to a method for modeling a network equipment ledger data model of a power grid distribution network.
Background
The power grid enterprise builds a distribution network service information system related to a distribution network equipment account in the business fields of production, marketing, scheduling, metering and the like, and assists various business departments in developing business operation and decision, so that a large amount of data interaction and cooperative operation need to be carried out on equipment account data among different distribution network service information systems.
Because each distribution network service information system is constructed, the data standardization degree is not high, metadata management is not sufficiently performed in a system planning stage, and a data model has certain difference on each system; in the system implementation stage, the typical business design and the data architecture design of each system cannot be fully implemented, each system is not completely built according to the originally planned data model, and a large amount of actual data physical models and the planned data models are found to have certain difference after data extraction and integration; the data model lacks version management, and changes to the data model greatly affect system data integration and application, so that sharing and interconnection of equipment ledger data are difficult.
Disclosure of Invention
The invention aims to provide a power grid distribution network equipment ledger data model modeling method to solve the problem that equipment ledger data sharing and intercommunication are difficult due to low data standardization degree of an existing distribution network service information system.
In order to achieve the above purpose, the invention provides the following technical scheme: a power grid distribution network equipment ledger data model modeling method comprises the following steps: determining a service scene; confirming service key points and data sources according to the service scene; determining a design principle of the data model field according to the unique data source of the data model field determined by the data source, and forming a data model analysis result; designing a power grid distribution network equipment ledger data model according to the data model analysis result; designing a data model database according to the power grid distribution network equipment ledger data model; and verifying the power grid distribution network equipment ledger data model by an external data application system.
Preferably, the step of specifying a unique data source for the data model field from the data source comprises: combing the data information of the data source, and analyzing the data model field in the data source; and determining a data source to which the data model field belongs to form a distribution network equipment data access principle.
Preferably, combing the data information of the data source comprises:
combing and scheduling service system data sources; combing a production service system data source; combing a GIS service system data source; combing a marketing business system data source;
The data information of the data source comprises one or more of a data dictionary, a specification, a technical requirement, a service template, a report and a data table of the data source.
Preferably, when analyzing the data model field in the data source, at least one or more of the business meaning, the field type, the field length, the precision and the value range of the field are included.
Preferably, the design principle of the data model field is as follows: only one first field is reserved for repeated or similar first fields existing in a plurality of data sources, and the type, the length and the precision of the first field in the data sources determined by the data fetching principle of the distribution network equipment are used as the standard; for a second field that is not repeated or similar, the second field is reserved.
Preferably, for a second field that is not repeated or similar, the data source to which the second field belongs confirms whether to retain.
Preferably, the design principle of the data model field further includes: reserving a third field for a non-homed data source proposed by the external data application system.
Preferably, the power grid distribution network equipment standing book data model modeling method further comprises a step of combing data verification rules after the step of forming a data model analysis result or after the step of designing a data model database: and verifying the data of the power grid distribution network equipment ledger data model and the data of the data source to form a data rectification suggestion.
Preferably, the power grid distribution network equipment ledger data model modeling method further comprises a data source sorting step arranged after the data verification rule combing step: and analyzing the data dictionary of the data source to form a data source modification suggestion.
Preferably, the step of designing a data model database according to the power grid distribution network equipment standing book data model comprises the following steps: and designing the data model database according to the data model field and the database of the data source.
Compared with the prior art, the method for modeling the network equipment ledger data model of the power grid distribution network has the following advantages:
the invention provides a method for modeling a network distribution equipment ledger data model of a power grid, which is driven by a service scene to carry out data combing, data analysis and data modeling, wherein the service scene drives the established network distribution equipment ledger data model to better meet service requirements, preferentially serve services and avoid inconsistency of the data model and service information; and when a data model analysis result is formed, a data model field has a unique data source, so that uniform service semantics, service codes and technical standards are provided for each service system, the service data standards are standardized, a uniform distribution network equipment ledger data model is established, each distribution network service information system can be identified and applied, the equipment ledger data sharing and interaction efficiency is improved, and the data quality level is obviously improved.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. In the drawings:
fig. 1 is a flowchart illustrating steps of a power grid distribution network device ledger data model modeling method according to a preferred embodiment of the present invention;
fig. 2 is a flowchart of steps of a power grid distribution network device ledger data model modeling method according to another preferred embodiment of the present invention.
Detailed Description
The present invention provides many applicable inventive concepts that can be embodied in a wide variety of specific contexts. The specific examples described in the following embodiments of the present invention are merely illustrative of specific embodiments of the present invention and do not limit the scope of the invention.
The invention is further described with reference to the following figures and detailed description of embodiments.
Example 1
As shown in fig. 1, fig. 1 is a flowchart illustrating steps of a power grid distribution network device ledger data model modeling method according to a preferred embodiment of the present invention. The embodiment provides a power grid distribution network equipment ledger data model modeling method, which comprises the following steps:
S1, determining a service scene;
s2, confirming service key points and data sources according to the service scene;
s3, determining the design principle of the data model field according to the unique data source of the data model field determined by the data source, and forming a data model analysis result;
s4, designing a power grid distribution network equipment ledger data model according to the data model analysis result;
s5, designing a data model database according to the power grid distribution network equipment ledger data model;
and S6, verifying the power grid distribution network equipment ledger data model by an external data application system.
The invention provides a method for modeling a network distribution equipment ledger data model of a power grid, which is driven by a service scene to carry out data combing, data analysis and data modeling, wherein the service scene drives the established network distribution equipment ledger data model to better meet service requirements, preferentially serve services and avoid inconsistency of the data model and service information; and when a data model analysis result is formed, a data model field has a unique data source, so that uniform service semantics, service codes and technical standards are provided for each service system, the service data standards are standardized, a uniform distribution network equipment ledger data model is established, each distribution network service information system can be identified and applied, the equipment ledger data sharing and interaction efficiency is improved, and the data quality level is obviously improved.
Specifically, each step will be described in detail below.
Step S1, determining a service scene: and determining according to the service management requirement and the system application requirement.
In actual service, service systems and data are complex, so that the range can be initially reduced by determining a service scene, the data modeling is driven by the service scene, the data volume and the system quantity are reduced, the actual requirements are better met, and the service is convenient to arrange in priority. When a business scene is determined, in the aspect of business management requirements, information such as a business system, a business process, data trend and the like are all factors to be considered; in terms of system application requirements, factors to be considered are business refinement and business working efficiency.
In this embodiment, the distribution network planning application is used as a service scenario, and of course, the method is also applicable to other service scenarios.
And step S2, confirming the service key points and the data source according to the service scene.
After the service scene is determined, the systems related to the service scene, including related devices, systems and data tables, are analyzed, and the service range is further combed out so as to determine service key points and data sources.
In this embodiment, in a scenario where the distribution network planning application is a service, the data source includes a scheduling service system, a production service system, a GIS service system, and a marketing service system, and the service key points include a transformer substation, a 10kV outgoing line switch in the transformer substation, and a distribution transformer.
And S3, determining the design principle of the data model field according to the unique data source of the data source definite data model field, and forming a data model analysis result.
Preferably, the step of specifying a unique data source for the data model field from the data source comprises:
combing the data information of the data source, and analyzing the data model field in the data source;
and determining a data source to which the data model field belongs to form a distribution network equipment data access principle.
The data model field is defined, uniform service semantics, service codes and technical standards are provided for each service system, the service data standard is standardized, and when a data model analysis result is formed at the later stage, if a certain data model field is defined in a plurality of data sources, judgment and selection can be carried out according to the data access principle of the distribution network equipment.
Preferably, combing the data information of the data source comprises:
combing and scheduling service system data sources;
combing a production service system data source;
Combing a GIS service system data source;
and combing a data source of the marketing business system.
When the data source is combed, the data source comprises the device type managed by the system, the maintained device attribute, the service jurisdiction range and the like, and meanwhile, the data information is collected and sorted.
The data information of the data source comprises one or more of a data dictionary, a specification, a technical requirement, a service template, a report and a data table of the data source. The more data information that is collected, the more accurate the analysis results.
Preferably, when analyzing the data model field in the data source, at least one or more of the business meaning, the field type, the field length, the precision and the value range of the field are included. The more content is analyzed, the more convenient is uniform definition.
And when a data source to which the data model field belongs is determined and a distribution network equipment data access principle is formed, the access is determined by the data source to which the data model field belongs due to the fact that specific equipment belongs to a specific department or system management, and the method is more practical.
In this embodiment, in a scenario where the distribution network planning application is a service, the related distribution network devices are classified into four types according to the data source and the service key point, and the four types are a substation and an in-station device, a distribution transformer, a power transmission line, a distribution network line and a line accessory device, respectively; the service key points comprise a transformer substation, a 10kV outgoing switch in the transformer substation and a distribution transformer, wherein the transformer substation and the 10kV outgoing switch in the transformer substation are in the type of the transformer substation and in-station equipment; distribution transformers are of the type; the transmission line, the distribution network line and the line auxiliary equipment are other equipment connected with the service key points.
The data fetching principle of the distribution network equipment is shown in table 1.
Table 1 distribution network equipment data access principle
In table 1, for the substation and the in-station device, the only data of the data model field is from the production service system; for the power transmission line, the only data of the data model field is from the production service system; for the distribution network line and the line accessory equipment, the unique data of the data model field is from a production service system, but the unique data of the data model field of the public/special line identification is from a marketing service system; for the distribution transformer, the unique data of the data model field of the public transformer is derived from a production business system, the unique data of the data model field of the special transformer is derived from a marketing business system, and the unique data of the data model field of the public/special transformer identification is derived from the marketing business system.
Preferably, the design principle of the data model field is as follows:
only one first field is reserved for repeated or similar first fields existing in a plurality of data sources, and the type, the length and the precision of the first field in the data sources determined by the data fetching principle of the distribution network equipment are used as the standard;
For a second field that is not repeated or similar, the second field is reserved.
Specifically, a duplicate or similar first field is processed:
and comparing the data model fields in the data source according to the Chinese name and the English name of the data model fields, finding out repeated or similar first fields, combing the information of the source table names, the field description, the field English name, the field Chinese name, the field type, the necessity of filling, the data value range, the precision, the length, the format and the like of the fields in each data source, and keeping the information in a data model field comparison table.
Taking the total capacity of the main transformer of the transformer substation as an example, the data model field comparison table is shown in table 2.
Table 2 data model field comparison table (taking total capacity of main transformer of transformer station as an example)
Specifically, the second field, which is not repeated or similar, is processed:
after processing the repeated or similar first fields, the second fields which are not repeated or dissimilar are combed out and gathered to the table of the non-repeated or dissimilar fields for reservation.
According to the design principle of the data model field, a data model analysis result is formed, data attributes can be extracted from a clear data source and assembled into a uniform data model, and the data standardization degree is improved.
Preferably, for a second field that is not repeated or similar, whether it is retained is confirmed by the data source to which the second field belongs. And confirming whether the second field is applied to the actual service or not and whether the second field needs to be added to the data model or not again, and avoiding adding fields which are not maintained by the actual service and cannot be maintained in the later period to the data model, so that the data volume is reduced, and the practicability is improved.
Preferably, the design principle of the data model field further includes:
reserving a third field for a third field of a non-homed data source proposed by the external data application system.
Specifically, the third field of the homeless data source is processed:
according to the service requirement in step S1, combing the data model field comparison table generated when processing the repeated or similar first field and the non-repeated or dissimilar field table generated when processing the non-repeated or dissimilar second field to obtain the third field of the non-attributive data source, and summarizing the third field into the non-attributive data source field table for reservation.
The design principle of the data model field also considers fields which are possibly not maintained in the existing service system but appear in the actual service, and the fields are provided and reserved by an external data application system, so that the comprehensiveness is improved, and the data model is ensured to be more consistent with the actual service.
And S4, designing a power grid distribution network equipment ledger data model according to the data model analysis result.
Deducing a Conceptual Model (CDM) of the power grid distribution network equipment ledger Data according to the Data Model analysis result, and describing the name, contained attributes, relationships among equipment and the like of the power grid distribution network equipment; and further designing a logic Model (Logical Data Model, LDM) of the ledger Data of the power grid distribution network equipment, determining a Data structure of the power grid distribution network equipment, and determining the name, type, length and the like of equipment attributes.
And S5, designing a data model database according to the power grid distribution network equipment ledger data model.
Preferably, designing a Data Model database according to the power grid distribution network equipment standing book Data Model, that is, designing a Physical Model (PDM) of the power grid distribution network equipment standing book Data, includes the steps of:
and designing the data model database according to the data model field and the database of the data source.
And comprehensively considering the extracted data model field and the database of the data source, designing the data model database, and defining a data table structure and a table association relation.
And S6, verifying the power grid distribution network equipment ledger data model by an external data application system.
And after the data model is created and the service data is imported, providing data support for an external data application system, verifying whether the power grid distribution network equipment ledger data model is available through a service application scene, and if the power grid distribution network equipment ledger data model cannot meet the service application requirement, providing the change of the data model so as to further improve the performance.
Example 2
As shown in fig. 2, fig. 2 is a flowchart of steps of a power grid distribution network device ledger data model modeling method according to another preferred embodiment of the present invention.
The difference between the power grid distribution network equipment ledger data model modeling method provided in this embodiment and the power grid distribution network equipment ledger data model modeling method provided in embodiment 1 is only that:
the modeling method of the network distribution equipment ledger data model of the power grid comprises a step of combing data verification rules, wherein the step of combing data verification rules comprises the following steps:
and verifying the data of the power grid distribution network equipment ledger data model and the data of the data source to form a data rectification suggestion.
According to step S3, when analyzing the data model field in the data source according to the data information of the data source, the data verification rules may be combed, including verifying the data of the data model and the data of the data source, mainly verifying whether the data is filled, whether the filled data meets the specification, and the like, and meanwhile, the data is combed to form a data rectification suggestion, so as to provide guidance for subsequent problem data rectification.
Preferably, the power grid distribution network equipment ledger data model modeling method further comprises a data source sorting step arranged after the data verification rule combing step:
and analyzing the data dictionary of the data source to form a data source modification suggestion.
And analyzing the data dictionary of the data source to find out possible functional problems, field problems and the like in the data dictionary, and forming a data source modification suggestion.
In this embodiment, the step of combing the data verification rules is step S4, the step of sorting the data source is step S5, and is provided after the step S3 of forming the data model analysis result, and of course, the steps S4 and S5 may also be provided after the step of designing the data model database, and different designs are performed according to the construction process of the ledger data model of the power grid distribution network device, which all provide technical support for subsequent data rectification and system rectification.
In the above embodiments, the steps in the method provided by the present invention are described, and the implementation is performed by a computer. Corresponding software is pre-installed in a computer, and the power grid distribution network equipment ledger data model modeling method is executed by running the software. Software for realizing the power grid distribution network equipment ledger data model modeling method can be stored in a computer readable storage medium and executed by a processor; wherein the processor may be implemented as one or more processor chips or may be part of one or more Application Specific Integrated Circuits (ASICs), and the aforementioned storage media may include, but are not limited to, the following types of storage media: various media that can store program codes, such as a Flash Memory (Flash Memory), a Read Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim.
Claims (8)
1. A power grid distribution network equipment ledger data model modeling method is characterized by comprising the following steps:
determining a service scene;
confirming service key points and data sources according to the service scene;
determining a design principle of the data model field according to the unique data source of the data model field determined by the data source, and forming a data model analysis result;
the step of specifying a unique data source for the data model field from the data source comprises:
combing the data information of the data source, and analyzing the data model field in the data source;
determining a data source to which the data model field belongs to form a distribution network equipment data access principle;
the design principle of the data model field is as follows:
Only one first field is reserved for repeated or similar first fields existing in a plurality of data sources, and the type, the length and the precision of the first field in the data sources determined by the data access principle of the distribution network equipment are used as the standard;
for a second field that is not repeated or similar, reserving the second field;
designing a power grid distribution network equipment ledger data model according to the data model analysis result;
designing a data model database according to the power grid distribution network equipment ledger data model;
and verifying the power grid distribution network equipment ledger data model by an external data application system.
2. The power grid distribution network equipment ledger data model modeling method of claim 1, wherein the combing the data information of the data source comprises:
combing and scheduling service system data sources;
combing a production service system data source;
combing a GIS service system data source;
combing a marketing business system data source;
the data information of the data source comprises one or more of a data dictionary, a specification, a technical requirement, a service template, a report and a data table of the data source.
3. The power grid distribution network equipment ledger data model modeling method of claim 1, wherein when analyzing the data model field in the data source, at least one or more of a business meaning, a field type, a field length, an accuracy, and a value range of the field is included.
4. The power grid distribution network equipment ledger data model modeling method of claim 1, wherein for a second field that is not repeated or similar, whether to remain is confirmed by a data source to which the second field belongs.
5. The power grid distribution network equipment ledger data model modeling method of claim 1, wherein the design principle of the data model field further comprises:
reserving a third field for a third field of a non-homed data source proposed by the external data application system.
6. The power grid distribution network equipment ledger data model modeling method of claim 1, characterized in that the power grid distribution network equipment ledger data model modeling method further comprises a data-combing-rule checking step provided after the data model analysis result forming step or after the data model database is designed:
and verifying the data of the power grid distribution network equipment ledger data model and the data of the data source to form a data rectification suggestion.
7. The power grid distribution network equipment ledger data model modeling method of claim 6, wherein the power grid distribution network equipment ledger data model modeling method further comprises a data source arrangement step after the data verification rule combing step:
And analyzing the data dictionary of the data source to form a data source modification suggestion.
8. The power grid distribution network equipment ledger data model modeling method of claim 1, wherein designing a data model database based on the power grid distribution network equipment ledger data model comprises:
and designing the data model database according to the data model field and the database of the data source.
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| CN112612842A (en) * | 2020-12-30 | 2021-04-06 | 南方电网深圳数字电网研究院有限公司 | Standing book information input method and device, electronic equipment and storage medium |
| CN113642850A (en) * | 2021-07-20 | 2021-11-12 | 国网江苏省电力有限公司南通供电分公司 | Data fusion method and terminal for power distribution network planning |
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