CN117910970A - Power grid information management system based on knowledge graph - Google Patents

Power grid information management system based on knowledge graph Download PDF

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Publication number
CN117910970A
CN117910970A CN202410102238.9A CN202410102238A CN117910970A CN 117910970 A CN117910970 A CN 117910970A CN 202410102238 A CN202410102238 A CN 202410102238A CN 117910970 A CN117910970 A CN 117910970A
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data
module
abnormal
information
power grid
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马鑫海
祁云嵩
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Jiangsu University of Science and Technology
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Jiangsu University of Science and Technology
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Priority to CN202410102238.9A priority Critical patent/CN117910970A/en
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Abstract

The invention relates to the technical field of power grid information management, and discloses a power grid information management system based on a knowledge graph, which comprises a central processing control module, wherein the central processing control module is electrically connected with a data information acquisition module, a data information classification integration module, a data information discrimination module, an abnormal data analysis module, an abnormal data recording module, an abnormal data feedback module, a data information display module and a data information retrieval module; when the power grid information management system is used, the original data are re-integrated and divided, the subsequent input keywords are convenient to quickly search, the relevance of the data among departments is improved, related personnel can be quickly reminded through judging the normal and abnormal states of the data, and the abnormal processing records are combined, so that the method adopted by the abnormal processing can be quickly identified, the same abnormal data can be avoided through analysis and feedback, and the efficiency and effect of electric power overhaul are improved.

Description

Power grid information management system based on knowledge graph
Technical Field
The invention relates to the technical field of power grid information management, in particular to a power grid information management system based on a knowledge graph.
Background
At present, informatization construction of power enterprises is rapid, various information systems are layered endlessly, and therefore a large amount of data is generated. However, after the mass data is generated, interaction between each system and each business department is less, the data is not effectively utilized, the huge data enables users to have no first thread, and the urgency of data asset management is improved. The power system is developed to be highly informatized and automatic, and the power grid scale is increasingly enlarged, so that huge power equipment facility data, power grid business data, user data, planning data and the like need to be managed, and therefore, a power grid information management system based on a knowledge graph is needed.
Through searching, the prior patent (publication number: CN 101290675A) discloses a power grid information management system, which consists of a power grid business database, a data conversion module and a client. Meanwhile, the display method of the power grid information management system is provided, and the display method comprises three steps of data extraction, data conversion and data display. The invention relates to a power grid information management system with low cost, open system, small maintenance workload, convenient operation and high management efficiency and a visual display method thereof.
However, the existing power grid information management system is inconvenient to comprehensively process abnormal data and inconvenient to provide important basis for electric power overhaul.
Disclosure of Invention
The invention mainly solves the technical problem of providing a power grid information management system based on a knowledge graph, which can solve the problems in the background technology.
In order to solve the technical problems, according to one aspect of the invention, a power grid information management system based on a knowledge graph more specifically comprises a central processing control module, wherein the central processing control module is electrically connected with a data information acquisition module, a data information classification integration module, a data information discrimination module, an abnormal data analysis module, an abnormal data recording module, an abnormal data feedback module, a data information display module and a data information retrieval module, the central processing control module is used for processing request data sent by each module and controlling each module to complete corresponding request actions, the data information acquisition module is used for acquiring data information of each power grid department, the data information classification integration module is used for integrating acquired data information of each power grid department and forming a knowledge graph of data information, the data information discrimination module is used for discriminating the classified integrated information and discriminating normal data and abnormal data, the abnormal data analysis module is used for analyzing the discriminated abnormal data and providing basis for electric power overhaul, the abnormal data recording module is used for recording and recording the discriminated abnormal data, processing and processing results, the data feedback module is used for carrying out interaction with the normal data and the abnormal data is used for avoiding the abnormal data to be searched by the data after the feedback module is used for forming the same as the normal data.
Further, the data information classification integration module comprises a data classification integration unit, a data storage unit and a data knowledge graph forming unit, wherein the data classification integration unit is used for classifying and integrating acquired data, the data storage unit is used for storing the classified and integrated data, and the data knowledge graph forming unit is used for forming a knowledge graph for the stored data information.
Furthermore, the data classification integration unit performs classification integration according to the attribution of each part of the power grid when performing classification integration, and classifies the data information of each department of integration.
Furthermore, the judging principle of the data information judging module comprises manual setting and machine learning, wherein the manual setting is realized by a mode of inputting a judging threshold value by a manager, and the machine learning is comprehensively judged by a mode of combining data trend with the threshold value.
Further, the data information discriminating module includes a normal data discriminating unit for discriminating normal data information, an abnormal data discriminating unit for discriminating abnormal data information, and a data discriminating post-classifying storage unit for classifying and storing the discriminated normal data and abnormal data, and obtaining abnormal data information.
Still further, the data information retrieval module includes a normal data retrieval unit for retrieving normal data through keywords and an abnormal data retrieval unit for retrieving abnormal data through keywords.
Furthermore, the normal data retrieval unit and the abnormal data retrieval unit both retrieve the knowledge graph during retrieval.
The power grid information management system based on the knowledge graph has the beneficial effects that:
When the power grid information management system is used, the original data is reintegrated and divided through the data information acquisition module, the data information classifying and integrating module, the data information distinguishing module, the abnormal data analyzing module, the abnormal data recording module, the abnormal data feedback module, the data information display module and the data information retrieval module, so that the subsequent input keywords are convenient to quickly retrieve, the relevance of the data among departments is improved, related personnel can be quickly reminded through judging the normal and abnormal states of the data, and the abnormal processing record is combined, so that the method adopted by the abnormal processing can be quickly identified, the repeated occurrence of the same abnormal data can be avoided through analysis and feedback, and the efficiency and the effect of electric power overhaul are improved.
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The invention will be described in further detail with reference to the accompanying drawings and detailed description.
Fig. 1 is a schematic structural diagram of a power grid information management system based on a knowledge graph.
Detailed Description
The application will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
As shown in fig. 1, according to one aspect of the present invention, there is provided a power grid information management system based on a knowledge graph, including a central processing control module, the central processing control module is electrically connected with a data information acquisition module, a data information classification integration module, a data information discrimination module, an abnormal data analysis module, an abnormal data recording module, an abnormal data feedback module, a data information display module and a data information retrieval module, the central processing control module is used for processing request data sent by each module and controlling each module to complete corresponding request actions, the data information acquisition module is used for acquiring data information of each department of the power grid, the data information classification integration module is used for integrating the acquired data information of each department of the power grid and forming a knowledge graph of the data information, the data information discrimination module is used for discriminating normal data and abnormal data, the abnormal data analysis module is used for analyzing the discriminated abnormal data, and providing basis for electric power overhaul, the abnormal data recording module is used for recording the source of the discriminated abnormal data and recording the processing process and the processing result, the abnormal data feedback module is used for feeding back the abnormal data after analysis, and the next time is used for integrating the same data, the data is used for acquiring the data of each department of the power grid, and the normal data is used for carrying out man-machine information and data information and the data is used for integrating the data and forming the data classification and the data information by the data classification integration module when the data is used for searching and searching the normal data, forming a knowledge graph of data information, discriminating the classified and integrated information through a data information discriminating module, discriminating normal data and abnormal data, analyzing the discriminated abnormal data through an abnormal data analyzing module, providing basis for electric power overhaul, recording the provenance of the discriminated abnormal data through an abnormal data recording module, recording the processing process and the processing result, feeding back the analyzed abnormal data through an abnormal data feedback module, avoiding the same abnormal data from appearing next time, simultaneously displaying the data through a data information displaying module, forming man-machine interaction, and respectively searching keywords of the normal data and the abnormal data through a data information searching module, therefore, when the power grid information management system is used, the original data is reintegrated and divided through the data information acquisition module, the data information classifying and integrating module, the data information distinguishing module, the abnormal data analyzing module, the abnormal data recording module, the abnormal data feedback module, the data information display module and the data information retrieval module, so that the subsequent input keywords are conveniently and rapidly retrieved, the relevance of the data among departments is improved, related personnel can be rapidly reminded through judging the normal and abnormal states of the data, the abnormal processing record is combined, the method adopted by the abnormal processing can be rapidly identified, the repeated occurrence of the same abnormal data can be avoided through analysis and feedback, and the efficiency and the effect of electric power overhaul are improved.
In this embodiment, the data information classification integration module includes a data classification integration unit, a data storage unit and a data knowledge graph forming unit, where the data classification integration unit is used for classifying and integrating acquired data, the data storage unit is used for storing the classified and integrated data, and the data knowledge graph forming unit is used for forming a knowledge graph for the stored data information.
In this embodiment, the data classification integration unit performs classification integration according to the attribution of each part of the power grid when performing classification integration, and classifies the data information of each department of integration.
In this embodiment, the discrimination principle of the data information discriminating module includes a manual setting and a machine learning, the manual setting is implemented by a mode of inputting a discrimination threshold by a manager, and the machine learning performs comprehensive discrimination by a mode of combining data trend with the threshold.
In this embodiment, the data information discriminating module includes a normal data discriminating unit for discriminating normal data information, an abnormal data discriminating unit for discriminating abnormal data information, and a data discriminating post-classifying storage unit for classifying and storing the discriminated normal data and abnormal data, and obtaining abnormal data information.
In this embodiment, the data information retrieval module includes a normal data retrieval unit for retrieving normal data by a keyword and an abnormal data retrieval unit for retrieving abnormal data by a keyword.
In this embodiment, the normal data retrieval unit and the abnormal data retrieval unit both retrieve the knowledge graph when retrieving.
The working principle of the device is as follows: when in use, the data information of each department of the power grid is collected through the data information collecting module, the collected data information of each department of the power grid is integrated through the data information classifying and integrating module, a knowledge graph of the data information is formed, the classified and integrated information is discriminated through the data information discriminating module, normal data and abnormal data are discriminated, the discriminated abnormal data are analyzed through the abnormal data analyzing module, basis is provided for electric power overhaul, the discriminated abnormal data are recorded through the abnormal data recording module, the processing procedure and the processing result are recorded, the analyzed abnormal data are fed back through the abnormal data feedback module, the same abnormal data are prevented from being generated next time, the data are displayed through the data information display module, and human-computer interaction is formed, and the normal data and the abnormal data are respectively searched through the data information searching module, so that the power grid information management system can be used for conveniently and quickly inputting the same abnormal data through the data collecting module, the data classifying and integrating module, the data information analyzing module, the abnormal data recording module, the abnormal data feedback module, the abnormal data information display module and the data searching module, the abnormal data can be conveniently and quickly input through the method of the same, the abnormal data can be conveniently and quickly associated with the abnormal data, the abnormal data can be conveniently and quickly processed through the subsequent method of the discrimination, the abnormal data can be conveniently and quickly combined with the abnormal data, the abnormal data can be conveniently and quickly processed by the personnel, and the personnel can be conveniently and quickly conveniently read by the method and the method by the abnormal data and the staff, thereby contributing to the improvement of the efficiency and effect of the electric power overhaul.
Of course, the above description is not intended to limit the invention, but rather the invention is not limited to the above examples, and variations, modifications, additions or substitutions within the spirit and scope of the invention will be within the scope of the invention.

Claims (7)

1. The utility model provides a power grid information management system based on knowledge graph, includes central processing control module, its characterized in that: the system comprises a central processing control module, a data information collecting module, a data information classifying and integrating module, a data information discriminating module, an abnormal data analyzing module, an abnormal data recording module, an abnormal data feedback module, a data information displaying module and a data information retrieving module, wherein the central processing control module is used for processing request data sent by each module and controlling each module to complete corresponding request actions, the data information collecting module is used for collecting data information of each department of a power grid, the data information classifying and integrating module is used for integrating the collected data information of each department of the power grid and forming a knowledge graph of the data information, the data information discriminating module is used for discriminating the classified and integrated information and discriminating normal data and abnormal data, the abnormal data analyzing module is used for analyzing the discriminated abnormal data and providing basis for electric power overhaul, the abnormal data recording module is used for recording the provenance of the discriminated abnormal data and recording the processing process and the processing result, the abnormal data feedback module is used for feeding back the abnormal data after analysis and avoiding the same abnormal data appearing next time, the data information displaying module is used for displaying data in an interaction mode and forming a man-machine, and the normal data retrieving module is used for searching the normal data and the normal data respectively.
2. The knowledge-graph-based power grid information management system of claim 1, wherein: the data information classifying and integrating module comprises a data classifying and integrating unit, a data storage unit and a data knowledge graph forming unit, wherein the data classifying and integrating unit is used for classifying and integrating acquired data, the data storage unit is used for storing the classified and integrated data, and the data knowledge graph forming unit is used for forming a knowledge graph for the stored data information.
3. The knowledge-graph-based power grid information management system of claim 2, wherein: and the data classification integration unit performs classification integration according to attribution of each part of the power grid when performing classification integration, and classifies data information of each department at the integration position.
4. The knowledge-graph-based power grid information management system of claim 1, wherein: the judging principle of the data information judging module comprises manual setting and machine learning, wherein the manual setting is realized by a mode of inputting a judging threshold value by a manager, and the machine learning is comprehensively judged by a mode of combining data trend with the threshold value.
5. The knowledge-graph-based power grid information management system of claim 1, wherein: the data information discriminating module comprises a normal data discriminating unit, an abnormal data discriminating unit and a data discriminating and classifying storage unit, wherein the normal data discriminating unit is used for discriminating normal data information at a position, the abnormal data discriminating unit is used for discriminating abnormal data information at the position, and the data discriminating and classifying storage unit is used for classifying and storing the discriminated normal data and abnormal data and obtaining abnormal data information.
6. The knowledge-graph-based power grid information management system of claim 1, wherein: the data information retrieval module comprises a normal data retrieval unit and an abnormal data retrieval unit, wherein the normal data retrieval unit is used for retrieving normal data through keywords, and the abnormal data retrieval unit is used for retrieving abnormal data through keywords.
7. The knowledge-graph-based power grid information management system as set forth in claim 6, wherein: and the normal data retrieval unit and the abnormal data retrieval unit both retrieve the knowledge graph when retrieving.
CN202410102238.9A 2024-01-25 2024-01-25 Power grid information management system based on knowledge graph Pending CN117910970A (en)

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Application Number Priority Date Filing Date Title
CN202410102238.9A CN117910970A (en) 2024-01-25 2024-01-25 Power grid information management system based on knowledge graph

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410102238.9A CN117910970A (en) 2024-01-25 2024-01-25 Power grid information management system based on knowledge graph

Publications (1)

Publication Number Publication Date
CN117910970A true CN117910970A (en) 2024-04-19

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Application Number Title Priority Date Filing Date
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