CN113962655A - Index management method, device and system for power grid data - Google Patents

Index management method, device and system for power grid data Download PDF

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CN113962655A
CN113962655A CN202111227786.7A CN202111227786A CN113962655A CN 113962655 A CN113962655 A CN 113962655A CN 202111227786 A CN202111227786 A CN 202111227786A CN 113962655 A CN113962655 A CN 113962655A
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data
power grid
index management
grid data
index
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李波
李世明
卢建刚
赵瑞锋
戴月
黎皓彬
郑文杰
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Abstract

The invention discloses a method, a device and a system for index management of power grid data. The index management device comprises a data acquisition unit, a classification analysis unit and an associated index unit. The index management system comprises an index management module, a user interaction module and a data storage module, wherein the index management module, the user interaction module and the data storage module are in communication connection with each other. The index management method, the index management device and the index management system improve the efficiency of statistics and management of the power grid data.

Description

Index management method, device and system for power grid data
Technical Field
The invention relates to the field of index management of power grid data, in particular to a method, a device and a system for index management of power grid data.
Background
With the continuous development of society, the power consumption requirements of enterprise users and individual users are gradually increased, the power consumption types are more and more diversified, and the corresponding power grid scale is continuously enlarged.
In the prior art, a power system generally adopts a Common Information Model (CIM) to construct a corresponding power grid CIM service model. With the continuous application of related technologies of smart power grids, large power data centers are built in various provincial and urban areas, data middling platforms are built, power grid data comprise structured data, unstructured data, massive historical data, quasi-real-time data, power grid GIS data and the like, and a large amount of diversified data are generated.
However, the prior art still has the following defects: due to the fact that the power grid service data are not uniformly stored and distributed, data quality is uneven, a plurality of information islands are formed, data circulation is blocked, effective unified management cannot be achieved, potential safety hazards exist, data are difficult to classify and manage, data resources cannot be effectively and fully utilized, different requirements cannot be met, and service level cannot be improved.
Therefore, there is a need for a method, an apparatus, and a system for index management of grid data, so as to solve the above problems in the prior art.
Disclosure of Invention
In view of the above technical problems, an object of the present invention is to provide a method, an apparatus and a system for index management of power grid data, so as to improve the efficiency of statistics and management of power grid data.
The invention provides an index management method of power grid data, which comprises the following steps: calling power grid data to be managed and a preset data tag group from a data storage module; the data tag group comprises a plurality of data tags; classifying and analyzing the power grid data in a grading way according to a preset classification analysis method to obtain a power network topological structure and a data label system corresponding to the power grid data; the data label system is generated by establishing the plurality of data labels according to the power network topological structure; and correspondingly associating the power grid data with each data tag, and establishing an index management system according to the data tag system.
In one embodiment, the index management method further includes: acquiring a management object to be managed and management operation; and calling corresponding first power grid data according to the management object and the index management system index, and managing the first power grid data according to the management operation.
In one embodiment, before retrieving the grid data to be managed and the preset data tag group from the data storage module, the index management method further includes: and classifying the power grid data in a grading manner according to a preset grading classification method and various characteristics of the power grid data, and setting corresponding data tags according to a classification result so as to obtain a data tag group.
In one embodiment, after the power grid data is classified and analyzed in a hierarchical manner according to a preset classification analysis method to obtain a power network topology and a data label system corresponding to the power grid data, the index management method further includes: performing label semantic conflict detection on the data label system so as to determine the label level corresponding to each data label; verifying and judging whether the logic relationship between each two data tags in the data tag system is correct or not according to the tag level and the power network topological structure; and if the logical relationship between the two first data labels is wrong, correcting the data label system according to the label levels of the two first data labels.
In one embodiment, the grid data is associated with each data tag, and an index management system is established according to the data tag system, specifically: correspondingly associating the power grid data with the data tags to generate corresponding power grid statistical data; and establishing an index management system according to the data label system, and enabling the index management system to be associated with the power grid statistical data.
In one embodiment, the index management method further includes: and carrying out data disaster tolerance backup on the power grid statistical data and the corresponding indexes at regular time according to preset time.
The invention also provides an index management device of the power grid data, which comprises a data acquisition unit, a classification analysis unit and an associated index unit, wherein the data acquisition unit is used for calling the power grid data to be managed and a preset data tag group from the data storage module; the data tag group comprises a plurality of data tags; the classification analysis unit is used for classifying and analyzing the power grid data in a classification manner according to a preset classification analysis method so as to obtain a power network topological structure and a data label system corresponding to the power grid data; the data label system is generated by establishing the plurality of data labels according to the power network topological structure; and the association index unit is used for correspondingly associating the power grid data with each data tag and establishing an index management system according to the data tag system.
In an embodiment, the index management apparatus further includes a tag setting unit, where the tag setting unit is configured to classify the power grid data in a hierarchical manner according to a preset hierarchical classification method and various characteristics of the power grid data, and set a corresponding data tag according to a classification result, so as to obtain a data tag group.
In one embodiment, the index management apparatus further includes a logic detection unit, and the logic detection unit is configured to: performing label semantic conflict detection on the data label system so as to determine the label level corresponding to each data label; verifying and judging whether the logic relationship between each two data tags in the data tag system is correct or not according to the tag level and the power network topological structure; and if the logical relationship between the two first data labels is wrong, correcting the data label system according to the label levels of the two first data labels.
The invention also provides an index management system of the power grid data, which comprises an index management module, a user interaction module and a data storage module, wherein the index management module, the user interaction module and the data storage module are in communication connection with each other, and the index management module is used for executing the index management method of the power grid data, so that an index management system is established to perform index management on the power grid data; the user interaction module is used for receiving an index establishment instruction sent by a user, calling corresponding second power grid data from the data storage module according to the index establishment instruction, and sending the second power grid data serving as power grid data to be managed to the index management module; receiving an index management instruction sent by a user; the index management instruction comprises a management object and a management operation; the data storage module is used for storing all power grid data.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides an index management method, device and system for power grid data, which are used for uniformly calling power grid data to be managed from a data storage module, performing hierarchical classification analysis on the power grid data to obtain a power topological structure and a data label system of the power grid data, and associating the power grid data with the data label system to establish an index management system for data statistics management.
Furthermore, the index management method, device and system for the power grid data provided by the invention also verify and judge the label level of the data labels in the data label system to verify whether the logic relationship between every two data labels in the data label system is correct, so that the accuracy of index management is improved by improving the accuracy of the data label system.
Drawings
The invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 illustrates a flow diagram of one embodiment of a method for index management of grid data in accordance with the present invention;
FIG. 2 is a flow diagram illustrating another embodiment of a method for index management of grid data according to the present invention;
fig. 3 is a block diagram illustrating an embodiment of an index management apparatus for grid data according to the present invention;
fig. 4 shows a block diagram of an embodiment of an index management system for grid data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Detailed description of the preferred embodiment
The embodiment of the invention first describes an index management method of power grid data. Fig. 1 shows a flow chart of an embodiment of a method for index management of grid data according to the present invention.
As shown in fig. 1, the method comprises the steps of:
and S1, calling the power grid data to be managed and the preset data label group from the data storage module.
In the prior art, structurally, the grid data required to be used generally include: structured data, unstructured data, semi-structured data and other power grid data; the power grid data includes, by nature, voltage class, power consumer basic profile data, service work order information, electricity fee record information, channel contact record, electricity consumption collection information, electricity fee payment time, electricity fee payment mode, user basic data, service work order information, electricity fee record information, channel contact record, electricity consumption collection information, electricity fee payment time, electricity fee payment mode, electricity fee payment delay time, maximum instantaneous power information, voltage class, electricity consumption data, metering collection data, and power consumer profile data.
However, because the types of the databases in the prior art are different, even the entity representations and descriptions are different, so that the problems of conflict, delay and the like exist in creating the big data of the power grid, in order to solve the problems, the embodiment of the present invention directly retrieves the power grid data from the data storage module, and the power grid data in the data storage module is processed into data in a unified data standard format according to a preset data mapping table.
In one embodiment, the predetermined data tag group includes a plurality of data tags, and the data tags are configured according to data types, regional sources and time characteristics of the power grid data.
In one embodiment, the data storage module comprises a data center platform, and the technical complexity of a bottom cloud platform is reduced by introducing the data center platform, so that the use cost of data is lower; and establishing the data assets of the power enterprise through data access and development of a data center station to form a power grid data tag system. And furthermore, the data assets can be managed through the data center station, and the data assets are served to a plurality of businesses of the electric power enterprise.
And S2, classifying and analyzing the power grid data in a grading way according to a preset classification analysis method to obtain a power network topological structure and a data label system corresponding to the power grid data.
After the power grid data to be managed are called, the power grid data need to be classified according to business classification, region classification, time classification and theme classification, classification and classification are carried out on the power grid data through a classification analysis algorithm, after classification and classification, corresponding data labels can be determined according to classification and classification results, a power network topological structure is obtained, and finally, the logical relation among different data labels is determined according to the power network topological structure level nodes.
In one embodiment, the classification analysis algorithm includes a decision tree algorithm, a logistic regression algorithm, and other algorithms commonly found in the art.
In one embodiment, before classification, region data corresponding to the power grid data is acquired, and data conversion is performed on the power grid data and the region data according to a preset data conversion rule.
In one embodiment, the traffic classification includes: user service and relationship, electric charge management, electric energy metering information acquisition and market and demand side information acquisition; the topic classification includes: user theme, service theme, operation theme, business resource theme, big data analysis theme and basic business theme. In fact, more service classifications and topic classifications can be set in a detailed manner according to the actual requirements of the user.
In one embodiment, the data tag system is generated for the plurality of data tags according to the power network topology establishment.
And S3, correspondingly associating the power grid data with each data label, and establishing an index management system according to the data label system.
In order to realize accurate search, in one embodiment, the step specifically includes: correspondingly associating the power grid data with the data tags to generate corresponding power grid statistical data; and establishing an index management system according to the data label system, and enabling the index management system to be associated with the power grid statistical data.
The embodiment of the invention discloses an index management method of power grid data, which is characterized in that power grid data to be managed are uniformly retrieved from a data storage module, the power grid data are classified and analyzed in a grading way to obtain a power topological structure and a data label system of the power grid data, and the power grid data and the data label system are associated to establish an index management system for data statistics management.
Detailed description of the invention
Furthermore, another method for managing the index of the power grid data is also described in the embodiment of the invention. Fig. 2 shows a flowchart of another embodiment of a method for index management of grid data according to the present invention.
As shown in fig. 2, the method comprises the steps of:
a1, classifying the power grid data according to a preset classification method and various characteristics of the power grid data, and setting corresponding data labels according to classification results to obtain a data label group.
Due to the massive and diversified power grid data, the power grid data needs to be provided with labels according to a preset label setting rule so as to facilitate subsequent big data analysis. The preset label setting rules can be classified according to application scenes of the power industry (for example, the preset label setting rules can be divided into business fields of user service and relationship, electric charge management, electric energy metering information acquisition, market and demand sides and the like), and can also be classified according to support applications and themes, and then corresponding labels are respectively set.
In one embodiment, the data tags of the grid data may be set using a clustering and classification algorithm. Specifically, in one embodiment, the power grid data is subjected to clustering analysis to obtain a corresponding clustering result, and a corresponding clustering data tag is generated according to the clustering result.
In one embodiment, the preset hierarchical classification method includes a K-means clustering algorithm, a fuzzy C-means clustering algorithm, a fusion clustering algorithm, and the like. By the method, the unknown classified power grid data can be classified, and the corresponding clustering data labels are set according to the classification result. According to the embodiment of the invention, the classification data labels and the clustering data labels are associated with the corresponding power grid data and are correspondingly integrated into the power grid data label system, so that the obtained power grid data label system is more comprehensive and more accurate.
And A2, calling the power grid data to be managed and the preset data label group from the data storage module.
In the prior art, structurally, the grid data required to be used generally include: structured data, unstructured data, semi-structured data and other power grid data; the power grid data includes, by nature, voltage class, power consumer basic profile data, service work order information, electricity fee record information, channel contact record, electricity consumption collection information, electricity fee payment time, electricity fee payment mode, user basic data, service work order information, electricity fee record information, channel contact record, electricity consumption collection information, electricity fee payment time, electricity fee payment mode, electricity fee payment delay time, maximum instantaneous power information, voltage class, electricity consumption data, metering collection data, and power consumer profile data.
However, because the types of the databases in the prior art are different, even the entity representations and descriptions are different, so that the problems of conflict, delay and the like exist in creating the big data of the power grid, in order to solve the problems, the embodiment of the present invention directly retrieves the power grid data from the data storage module, and the power grid data in the data storage module is processed into data in a unified data standard format according to a preset data mapping table.
In one embodiment, the predetermined data tag group includes a plurality of data tags, and the data tags are configured according to data types, regional sources and time characteristics of the power grid data.
A3, classifying and analyzing the power grid data in a grading way according to a preset classification analysis method to obtain a power network topological structure and a data label system corresponding to the power grid data.
After the power grid data to be managed are called, the power grid data need to be classified according to business classification, region classification, time classification and theme classification, classification and classification are carried out on the power grid data through a classification analysis algorithm, after classification and classification, corresponding data labels can be determined according to classification and classification results, a power network topological structure is obtained, and finally, the logical relation among different data labels is determined according to the power network topological structure level nodes.
In one embodiment, the classification analysis algorithm includes a decision tree algorithm, a logistic regression algorithm, and other algorithms commonly found in the art.
In one embodiment, before classification, region data corresponding to the power grid data is acquired, and data conversion is performed on the power grid data and the region data according to a preset data conversion rule.
In one embodiment, the traffic classification includes: user service and relationship, electric charge management, electric energy metering information acquisition and market and demand side information acquisition; the topic classification includes: user theme, service theme, operation theme, business resource theme, big data analysis theme and basic business theme. In fact, more service classifications and topic classifications can be set in a detailed manner according to the actual requirements of the user.
In one embodiment, the data tag system is generated for the plurality of data tags according to the power network topology establishment.
A4, correspondingly associating the power grid data with each data label, and establishing an index management system according to the data label system.
In order to realize accurate search, in one embodiment, the step specifically includes: correspondingly associating the power grid data with the data tags to generate corresponding power grid statistical data; and establishing an index management system according to the data label system, and enabling the index management system to be associated with the power grid statistical data.
In one embodiment, when the index management system established in the foregoing steps is used to perform index management on the power grid data, the index management method further includes the following steps:
a: acquiring a management object to be managed and management operation;
b: and calling corresponding first power grid data according to the management object and the index management system index, and managing the first power grid data according to the management operation.
The accuracy of the data label system determines the accuracy and efficiency of subsequent index management on the data, so that the accuracy of the data label system is crucial, and in order to ensure the accuracy of the data label system, the data label system can be verified and detected after being obtained.
Specifically, firstly, the uniqueness of the label semantics of the data labels is determined, and whether the label semantics corresponding to different data labels are the same or not is judged by detecting the label semantics of the data labels, so that the data labels corresponding to different power grid data with different classification results are different; secondly, detecting the level hierarchy of different data labels, and at the moment, performing label semantic conflict detection on the data label system so as to determine the label levels corresponding to the different data labels. The label level can be determined according to the power network topology and the service classification, the region classification, the time classification and the theme classification.
On the basis, in an embodiment, in order to verify whether the logical relationship between each two data tags in the data tag system is correct, so as to improve the accuracy of index management by improving the accuracy of the data tag system, the index management method further includes the following steps:
c101: performing label semantic conflict detection on the data label system so as to determine the label level corresponding to each data label;
c102: verifying and judging whether the logic relationship between each two data tags in the data tag system is correct or not according to the tag level and the power network topological structure;
c103: and if the logical relationship between the two first data labels is wrong, correcting the data label system according to the label levels of the two first data labels.
In one embodiment, to further improve the stability and security of the index management system, the index management method further includes: and carrying out data disaster tolerance backup on the power grid statistical data and the corresponding indexes at regular time according to preset time.
The embodiment of the invention describes another index management method for power grid data, which is characterized in that power grid data to be managed are uniformly retrieved from a data storage module, the power grid data are classified and analyzed in a grading manner to obtain a power topological structure and a data label system of the power grid data, and the power grid data and the data label system are associated to establish an index management system for data statistics management, so that the index management method improves the efficiency of statistics and management of the power grid data; furthermore, the index management method for the power grid data described in the embodiment of the present invention also verifies and judges the label level of the data label in the data label system to verify whether the logical relationship between each two data labels in the data label system is correct, so as to improve the accuracy of index management by improving the accuracy of the data label system.
Detailed description of the preferred embodiment
Besides the method, the embodiment of the invention also describes an index management device of the power grid data. Fig. 3 is a block diagram illustrating an embodiment of an index management apparatus for grid data according to the present invention.
As shown in the figure, the index management apparatus includes a data acquisition unit 11, a classification parsing unit 12, and an association index unit 13.
The data obtaining unit 11 is configured to retrieve the power grid data to be managed and a preset data tag group from the data storage module. The set of data tags includes a plurality of data tags.
The classification analysis unit 12 is configured to classify and analyze the power grid data in a classified manner according to a preset classification analysis method, so as to obtain a power network topology and a data label system corresponding to the power grid data. And the data label system is generated by establishing the plurality of data labels according to the power network topological structure.
The association index unit 13 is configured to perform corresponding association between the power grid data and each data tag, and establish an index management system according to the data tag system.
When a power grid data index needs to be established for subsequent efficient statistical management, firstly, power grid data to be managed and a preset data tag group are called from a data storage module through a data acquisition unit 11; then, classifying and analyzing the power grid data by a classification analysis unit 12 according to a preset classification analysis method to obtain a power grid topology structure and a data label system corresponding to the power grid data; and finally, correspondingly associating the power grid data with each data tag through an association index unit 13, and establishing an index management system according to the data tag system.
In one embodiment, the index management apparatus further includes a tag setting unit, where the tag setting unit is configured to classify the power grid data in a hierarchical manner according to a preset hierarchical classification method and various characteristics of the power grid data, and set a corresponding data tag according to a classification result, so as to obtain a data tag group.
In one embodiment, the index management apparatus further includes a logic detection unit, configured to: performing label semantic conflict detection on the data label system so as to determine the label level corresponding to each data label; verifying and judging whether the logic relationship between each two data tags in the data tag system is correct or not according to the tag level and the power network topological structure; and if the logical relationship between the two first data labels is wrong, correcting the data label system according to the label levels of the two first data labels.
In an embodiment, the index management device further includes a data backup unit, where the data backup unit is configured to perform disaster recovery backup on the power grid statistical data and the corresponding index at regular time according to a preset time.
In one embodiment, the index management apparatus further includes a management operation unit, where the management operation unit is configured to obtain a management object to be managed and a management operation; and calling corresponding first power grid data according to the management object and the index management system index, and managing the first power grid data according to the management operation.
The embodiment of the invention describes an index management device for power grid data, which is characterized in that power grid data to be managed are uniformly retrieved from a data storage module, the power grid data are classified and analyzed in a grading way to obtain a power topological structure and a data label system of the power grid data, and the power grid data and the data label system are associated to establish an index management system for data statistics management, so that the index management and device improve the efficiency of statistics and management of the power grid data; furthermore, the index management and device for power grid data described in the embodiment of the present invention also verifies and judges the label level of the data label in the data label system to verify whether the logical relationship between each two data labels in the data label system is correct, so as to improve the accuracy of index management by improving the accuracy of the data label system.
Detailed description of the invention
Besides the method and the device, the embodiment of the invention also describes an index management system of the power grid data. Fig. 4 shows a block diagram of an embodiment of an index management system for grid data according to the present invention.
As shown in the figure, the index management system comprises an index management module 1, a user interaction module 2 and a data storage module 3, wherein the index management module 1, the user interaction module 2 and the data storage module 3 are in communication connection with each other.
The index management module 1 is configured to execute the index management method for the power grid data, so as to establish an index management system to perform index management on the power grid data.
The user interaction module 2 is configured to receive an index establishment instruction sent by a user, retrieve corresponding second grid data from the data storage module 3 according to the index establishment instruction, and send the second grid data to the index management module 1 as to-be-managed grid data; and receiving an index management instruction sent by a user. In one embodiment, the index management instructions include management objects and management operations. In one embodiment, the user interaction module 2 comprises a touch/non-touch display screen, an input keyboard, a virtual keyboard, an indicator light, a microphone, an earpiece, and combinations of one or more of the foregoing.
The data storage module 3 is used for storing all power grid data. In one embodiment, the data storage module 3 comprises a data staging station.
The embodiment of the invention describes an index management system for power grid data, which is characterized in that power grid data to be managed are uniformly retrieved from a data storage module, the power grid data are classified and analyzed in a grading way to obtain a power topological structure and a data label system of the power grid data, and the power grid data and the data label system are associated to establish an index management system for data statistics management, so that the index management system improves the efficiency of statistics and management of the power grid data; furthermore, the index management system for power grid data described in the embodiment of the present invention also verifies and judges the label level of the data label in the data label system to verify whether the logical relationship between each two data labels in the data label system is correct, so as to improve the accuracy of index management by improving the accuracy of the data label system.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.

Claims (10)

1. An index management method for power grid data is characterized by comprising the following steps:
calling power grid data to be managed and a preset data tag group from a data storage module; the data tag group comprises a plurality of data tags;
classifying and analyzing the power grid data in a grading way according to a preset classification analysis method to obtain a power network topological structure and a data label system corresponding to the power grid data; the data label system is generated by establishing the plurality of data labels according to the power network topological structure;
and correspondingly associating the power grid data with each data tag, and establishing an index management system according to the data tag system.
2. The index management method for grid data according to claim 1, further comprising:
acquiring a management object to be managed and management operation;
and calling corresponding first power grid data according to the management object and the index management system index, and managing the first power grid data according to the management operation.
3. The index management method for grid data according to claim 2, wherein before retrieving the grid data to be managed and the preset data tag set from the data storage module, the index management method further comprises:
and classifying the power grid data in a grading manner according to a preset grading classification method and various characteristics of the power grid data, and setting corresponding data tags according to a classification result so as to obtain a data tag group.
4. The index management method for power grid data according to claim 3, wherein after the power grid data is classified and analyzed in a hierarchical manner according to a preset classification analysis method to obtain a power network topology and a data label system corresponding to the power grid data, the index management method further comprises:
performing label semantic conflict detection on the data label system so as to determine the label level corresponding to each data label;
verifying and judging whether the logic relationship between each two data tags in the data tag system is correct or not according to the tag level and the power network topological structure;
and if the logical relationship between the two first data labels is wrong, correcting the data label system according to the label levels of the two first data labels.
5. The index management method for power grid data according to claim 4, wherein the power grid data is associated with each data tag correspondingly, and an index management system is established according to the data tag system, specifically:
correspondingly associating the power grid data with the data tags to generate corresponding power grid statistical data;
and establishing an index management system according to the data label system, and enabling the index management system to be associated with the power grid statistical data.
6. The index management method for grid data according to any one of claims 1 to 5, further comprising:
and carrying out data disaster tolerance backup on the power grid statistical data and the corresponding indexes at regular time according to preset time.
7. The index management device of the power grid data is characterized by comprising a data acquisition unit, a classification and analysis unit and an associated index unit,
the data acquisition unit is used for calling power grid data to be managed and a preset data tag group from the data storage module; the data tag group comprises a plurality of data tags;
the classification analysis unit is used for classifying and analyzing the power grid data in a classification manner according to a preset classification analysis method so as to obtain a power network topological structure and a data label system corresponding to the power grid data; the data label system is generated by establishing the plurality of data labels according to the power network topological structure;
and the association index unit is used for correspondingly associating the power grid data with each data tag and establishing an index management system according to the data tag system.
8. The index management device for power grid data according to claim 7, further comprising a tag setting unit, wherein the tag setting unit is configured to classify the power grid data according to a preset classification method and various characteristics of the power grid data, and set corresponding data tags according to classification results, so as to obtain a data tag group.
9. The index management device of grid data according to claim 8, further comprising a logic detection unit, wherein the logic detection unit is configured to:
performing label semantic conflict detection on the data label system so as to determine the label level corresponding to each data label;
verifying and judging whether the logic relationship between each two data tags in the data tag system is correct or not according to the tag level and the power network topological structure;
and if the logical relationship between the two first data labels is wrong, correcting the data label system according to the label levels of the two first data labels.
10. Index management system of power grid data, characterized in that, the index management system comprises an index management module, a user interaction module and a data storage module, the index management module, the user interaction module and the data storage module are connected with each other in communication, wherein,
the index management module is used for executing the index management method of the power grid data according to any one of claims 1 to 6, so as to establish an index management system for index management of the power grid data;
the user interaction module is used for receiving an index establishment instruction sent by a user, calling corresponding second power grid data from the data storage module according to the index establishment instruction, and sending the second power grid data serving as power grid data to be managed to the index management module; receiving an index management instruction sent by a user; the index management instruction comprises a management object and a management operation;
the data storage module is used for storing all power grid data.
CN202111227786.7A 2021-10-21 2021-10-21 Index management method, device and system for power grid data Pending CN113962655A (en)

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