CN116108203A - Method, system, storage medium and equipment for constructing power grid panoramic dispatching knowledge graph and managing power grid equipment - Google Patents
Method, system, storage medium and equipment for constructing power grid panoramic dispatching knowledge graph and managing power grid equipment Download PDFInfo
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Abstract
The invention discloses a method, a system, a storage medium and equipment for constructing a power grid panoramic dispatching knowledge graph and managing power grid equipment, wherein the power grid panoramic dispatching knowledge graph construction method comprises the steps of obtaining power panoramic data; preprocessing the acquired electric panoramic data to acquire a plurality of standing book storage tables, wherein each standing book storage table is associated with one power grid device; acquiring power grid characteristic data from a preset power grid knowledge graph system according to keywords of each ledger memory table, and associating the power grid characteristic data with the corresponding ledger memory table; and constructing a power grid panoramic dispatching knowledge graph according to the power grid characteristic data, the standing account storage table, the power grid equipment and the association relation among the power grid characteristic data, the standing account storage table and the power grid equipment, wherein the power grid equipment management method is realized based on the power grid panoramic dispatching knowledge graph obtained by the power grid panoramic dispatching knowledge graph construction method. The invention can improve the accuracy of the knowledge graph in the field of power grids and the efficiency of power grid equipment management work.
Description
Technical Field
The invention relates to a method, a system, a storage medium and equipment for constructing a power grid panoramic dispatching knowledge graph and managing power grid equipment, and belongs to the technical field of power grid management.
Background
Based on a power grid panoramic dispatching multi-layer element model construction system, a hierarchical knowledge graph technology is utilized to research an association relation expression mode and a knowledge graph construction method of a multi-layer power grid model, and knowledge expression of the multi-layer panoramic model is constructed.
The Chinese patent publication No. CN110110379A discloses a power grid panoramic modeling method and a system, wherein a core model and an application system model of a power grid are obtained, the core model is taken as a main body, the application system model is expanded on the outer side of the core model based on a general standard of a power system, the panoramic model of the power grid is built, the unified maintenance and unified management of the power grid model are realized through the panoramic model of the power grid built, the information sharing of each application system is realized, and the device difference of different manufacturers can be avoided through adopting the general standard of the power system, so that a data basis is provided for intelligent analysis of power grid fault diagnosis.
However, the method has the following problems in operation:
the data in the units of the different sources cannot be simultaneously communicated and integrated, so that when the association analysis is carried out on certain power grid equipment in the follow-up process, the data cannot be rapidly processed through the systems of the different sources, the existing knowledge graph is limited to the general semantic field, and the problem of low accuracy in the specific field exists.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a method, a system, a storage medium and equipment for constructing a power grid panoramic dispatching knowledge graph and managing power grid equipment, which can improve the accuracy of the knowledge graph in the use of the power grid field and improve the efficiency of the power grid equipment management work.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
on one hand, the invention provides a power grid panoramic scheduling knowledge graph construction method, which comprises the following steps:
acquiring electric panoramic data;
preprocessing the acquired electric panoramic data to acquire a plurality of standing book storage tables, wherein each standing book storage table is associated with one power grid device;
acquiring power grid characteristic data from a preset power grid knowledge graph system according to keywords of each ledger memory table, and associating the power grid characteristic data with the corresponding ledger memory table;
and constructing a power grid panoramic dispatching knowledge graph according to the power grid characteristic data, the standing book storage table, the power grid equipment and the association relation between the power grid characteristic data, the standing book storage table and the power grid equipment.
Further, the power panoramic data comprises healthy SCADA measurement data, grid topology data, power generation data, load prediction data, maintenance plans, scheduling procedures, scheduling plans, operation tickets, historical fault alarms, geographic information and meteorological information.
Further, the power grid knowledge graph system is selected from one or more of a scheduling specification graph, a scheduling plan graph, a power grid event graph and an abnormal event graph.
Further, each ledger storage table comprises source pasting data, associated power grid equipment names and equipment attributes.
Further, the attributes of the device include auxiliary attributes and/or primary force attributes.
Further, when the attribute of the device includes an auxiliary attribute, the ledger storage table includes a name of the pre-grid device.
In a second aspect, the present invention provides a power grid panoramic scheduling knowledge graph construction system, including:
the power data acquisition module is used for acquiring power panoramic data;
the power data preprocessing module is used for preprocessing the acquired power panoramic data to acquire a plurality of ledger storage tables, and each ledger storage table is associated with one power grid device;
the association module is used for acquiring the power grid characteristic data from a preset power grid knowledge graph system according to the keywords of each ledger memory table and associating the power grid characteristic data with the corresponding ledger memory table;
the map construction module is used for constructing a power grid panoramic dispatching knowledge map according to the power grid characteristic data, the standing book storage table, the power grid equipment and the association relation among the power grid characteristic data, the standing book storage table and the power grid equipment.
In a third aspect, the present invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform the instructions of the grid panorama scheduling knowledge graph construction method described above.
In a fourth aspect, the present invention provides a computing device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the above-described grid panorama scheduling knowledge graph construction method.
In a fifth aspect, the present invention provides a power grid device management method, comprising the steps of:
acquiring power signals of all power grid equipment;
acquiring power grid characteristic data and a standing book storage table of each power grid device in a power grid panoramic dispatching knowledge graph;
comparing the power signals of all the power grid devices with the power grid characteristic data and the standing book storage table of all the power grid devices in the power grid panoramic dispatching knowledge graph to judge whether the power signals are abnormal or not;
responding to the abnormality of any power signal, and determining the attribute of the power grid equipment corresponding to the abnormal power signal by using a standing account storage table so as to determine equipment to be operated;
extracting Word control library vectors of all equipment to be operated from Word2Vec models of Word libraries in the power grid field;
and overhauling the equipment to be operated one by one according to the alternative keywords in the word control library vector.
Further, comparing the power signal of each power grid device with the power grid characteristic data and the standing book storage table of each power grid device in the power grid panoramic dispatching knowledge graph, and judging whether the power signal is abnormal comprises:
and when the difference value between any power signal of the power grid equipment and the power grid characteristic data corresponding to the power grid equipment in the power grid panoramic dispatching knowledge graph and the corresponding source pasting data in the standing book storage table is larger than a preset threshold value, determining that the power signal is abnormal.
Further, in response to any power signal abnormality, determining, by using the ledger memory table, an attribute of the power grid device corresponding to the abnormal power signal, where determining the device to be operated includes:
in response to any power signal abnormality, identifying a device attribute in a ledger memory table of the power grid device corresponding to the abnormal power signal to determine a device to be operated:
if the equipment attribute is an auxiliary attribute, the equipment to be operated is power grid equipment and preposed power grid equipment corresponding to the abnormal power signal;
if the equipment attribute is the dominant force attribute, the equipment to be operated is power grid equipment corresponding to the abnormal power signal;
if the equipment attribute is the auxiliary attribute and the main force attribute, the equipment to be operated is the power grid equipment and the front-end power grid equipment corresponding to the abnormal power signal.
Further, the elements of the word control library vector are candidate keywords;
the alternative keywords are selected from the corresponding paste source data in the power grid characteristic data or the account storage table.
In a sixth aspect, the present invention provides a grid plant management system, comprising:
the power signal acquisition module is used for acquiring power signals of all power grid equipment;
the power grid equipment information acquisition module is used for acquiring power grid characteristic data and a standing book storage table of each power grid equipment in the power grid panoramic dispatching knowledge graph;
the judging and comparing module is used for comparing the power signals of all the power grid devices with the power grid characteristic data and the standing book storage table of all the power grid devices in the power grid panoramic dispatching knowledge graph and judging whether the power signals are abnormal or not;
the power grid equipment management system comprises a to-be-operated module, a power grid equipment management module and a power grid equipment management module, wherein the to-be-operated module is used for responding to any abnormal power signal, determining the attribute of the power grid equipment corresponding to the abnormal power signal by using a standing account storage table, and determining to-be-operated equipment;
the extraction module is used for extracting Word control library vectors of the equipment to be operated from a Word2Vec model of the Word library in the power grid field;
and the overhaul module is used for overhauling the equipment to be operated one by one according to the alternative keywords in the word control library vector.
In a seventh aspect, the present invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform the instructions of the grid device management method described above.
In an eighth aspect, the present invention provides a computing device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the above-described grid device management method.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the electric power panoramic data is utilized to correlate the network characteristic data, the standing book storage table and the power grid equipment, and the power grid panoramic dispatching knowledge graph is constructed according to the power grid characteristic data, the standing book storage table, the power grid equipment and the correlation thereof, so that the limitation of the existing knowledge graph is overcome, and the use accuracy of the knowledge graph in the power grid field is improved.
According to the power grid panoramic dispatching knowledge graph obtained by the power grid panoramic dispatching knowledge graph construction method, whether the power signals are abnormal or not is judged, and abnormal power grid equipment and equipment to be operated are determined according to the abnormal power signals, so that the equipment to be operated is subjected to purposeful maintenance, the judgment accuracy can be improved, the pertinence of maintenance operation can be improved, and the efficiency of power grid equipment management work can be improved.
Drawings
FIG. 1 is a flowchart of an embodiment of a method for constructing a power grid panoramic scheduling knowledge graph of the present invention;
FIG. 2 is a flow chart of an embodiment of a method of grid plant management of the present invention;
fig. 3 is a flowchart of an embodiment of the power grid device management method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in a specific case.
Example 1
The embodiment introduces a power grid panoramic scheduling knowledge graph construction method.
Referring to fig. 1, the power grid panoramic scheduling knowledge graph construction method of the embodiment includes the following steps:
s11, acquiring power panoramic data.
S12, preprocessing the acquired electric panoramic data to obtain a plurality of ledger storage tables, wherein each ledger storage table is associated with one power grid device.
S13, acquiring power grid characteristic data from a preset power grid knowledge graph system according to keywords of each ledger memory table, and associating the power grid characteristic data with the corresponding ledger memory table.
When the method is applied, the keywords are real words in the standing book storage table.
S14, constructing a power grid panoramic dispatching knowledge graph according to the power grid characteristic data, the standing book storage table, the power grid equipment and the association relation between the power grid characteristic data, the standing book storage table and the power grid equipment.
According to the invention, the electric power panoramic data is utilized to correlate the network characteristic data, the standing book storage table and the power grid equipment, and the power grid panoramic dispatching knowledge graph is constructed according to the power grid characteristic data, the standing book storage table, the power grid equipment and the correlation thereof, so that the limitation of the existing knowledge graph is overcome, and the use accuracy of the knowledge graph in the power grid field is improved.
Example 2
On the basis of the embodiment 1, the embodiment describes the electric power panoramic data, the power grid knowledge graph system, the standing book storage table and the power grid characteristic data in detail.
1. Electric panoramic data
The electric power panoramic data of the embodiment includes healthy SCADA measurement data, grid topology data, power generation data, load prediction data, maintenance plans, scheduling regulations, scheduling plans, operation tickets, historical fault alarms, geographic information and meteorological information.
2. Power grid knowledge graph system
The power grid knowledge graph system of the embodiment is selected from one or more of a scheduling specification graph, a scheduling plan graph, a power grid event graph and an abnormal event graph.
The scheduling specification map is used for presenting scheduling operation rules and notes of the current power grid situation; the scheduling plan map is used for providing intelligent inquiry and refining and pushing key information in an accident plan applicable to the current power grid risk situation in the intelligent inquiry process; the power grid event map is used for similarity reasoning, and in the similarity reasoning, effective key features and corresponding operation information in historical power grid events are extracted and pushed; the abnormal event map is used for similarity reasoning, and in the similarity reasoning, effective key features and corresponding operation information in the historical abnormal event are extracted and pushed.
3. Standing book storage table
Each ledger storage table of the embodiment comprises source pasting data, associated power grid equipment names and equipment attributes.
Wherein the attributes of the device include auxiliary attributes and/or primary force attributes. When the attribute of the device includes an auxiliary attribute, the ledger store table includes the name of the pre-grid device.
In application, the power grid panoramic scheduling knowledge graph of the embodiment comprises a core model and an application system model which adopt global unified coding. The core model is used for preprocessing the acquired electric panoramic data to acquire a plurality of ledger storage tables, and each ledger storage table is associated with one power grid device.
In practical application, the core model comprises a primary equipment model and a secondary equipment model in the power grid. The primary equipment model is obtained from an open control system or a power grid dispatching automation system and is constructed through IEC61970/61968 CIM; the secondary equipment model is obtained from a relay protection fault information system and is constructed through a substation configuration description language of IEC61850 standard.
3. Grid characteristic data
The power grid characteristic data of the embodiment are obtained from a preset power grid knowledge graph system according to the preprocessed power panoramic data through a named entity recognition mode and a text extraction mode.
In the application, the power grid characteristic data comprises named entity objects consisting of personnel objects, unit objects, project objects and project yield objects.
Example 3
On the basis of the embodiment 2, the embodiment describes the intelligent query process of the scheduling plan map in detail.
The specific implementation of the intelligent query process of the scheduling plan map in this embodiment includes the following steps:
s31, acquiring a query request to obtain a query text.
S32, preprocessing the query text, segmenting words of the preprocessing result of the query text to obtain a controlled word stock, and constructing space vectors according to the controlled word stock.
When the method is actually applied, firstly, each document contained after the pretreatment of the query text is determined, and each document is segmented according to a word stock in the field to which the document belongs; then training a Word2Vec model by using the segmented document to obtain a Word2Vec model of a Word stock in the field; and substituting each affiliated alternative keyword in each document into the obtained Word2Vec model to obtain Word vectors of a plurality of dimensions formed by the corresponding alternative keywords in each document, and outputting the Word vectors as space vectors.
And S33, carrying out clustering evaluation according to the space vector to obtain key information in an accident plan applicable to the current power grid risk situation in the scheduling plan map.
Example 4
The embodiment provides a power grid panoramic scheduling knowledge graph construction system, which comprises:
the power data acquisition module is used for acquiring power panoramic data;
the power data preprocessing module is used for preprocessing the acquired power panoramic data to acquire a plurality of ledger storage tables, and each ledger storage table is associated with one power grid device;
the association module is used for acquiring the power grid characteristic data from a preset power grid knowledge graph system according to the keywords of each ledger memory table and associating the power grid characteristic data with the corresponding ledger memory table;
the map construction module is used for constructing a power grid panoramic dispatching knowledge map according to the power grid characteristic data, the standing book storage table, the power grid equipment and the association relation among the power grid characteristic data, the standing book storage table and the power grid equipment.
The method for realizing the specific functions of the functional modules is based on the methods described in embodiments 1 to 3.
Example 5
The present embodiment provides a computer-readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by a computing device, cause the computing device to execute the instructions of the power grid panorama scheduling knowledge graph construction method described in embodiments 1 to 3.
Example 6
The present embodiment provides a computing device including one or more processors, a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for executing the power grid panoramic scheduling knowledge map construction method described in embodiments 1 to 3.
Example 7
On the basis of embodiment 1 or 2, this embodiment provides a power grid device management method.
Referring to fig. 2, the power grid equipment management method of the present embodiment includes the following steps:
s21, acquiring power signals of all power grid equipment.
S22, acquiring power grid characteristic data and a standing account storage table of each power grid device in the power grid panoramic dispatching knowledge graph.
S23, comparing the power signals of all the power grid devices with the power grid characteristic data and the standing book storage table of all the power grid devices in the power grid panoramic dispatching knowledge graph, and judging whether the power signals are abnormal.
S34, responding to the abnormality of any power signal, and determining the attribute of the power grid equipment corresponding to the abnormal power signal by using a standing account storage table so as to determine equipment to be operated.
S25, extracting Word control library vectors of the equipment to be operated from a Word2Vec model of the Word library in the power grid field.
S26, overhauling equipment to be operated one by one according to the alternative keywords in the word control library vector.
According to the power grid panoramic dispatching knowledge graph obtained by the power grid panoramic dispatching knowledge graph construction method, whether the power signals are abnormal or not is judged, and abnormal power grid equipment and equipment to be operated are determined according to the abnormal power signals, so that the equipment to be operated is subjected to purposeful maintenance, the judgment accuracy can be improved, the pertinence of maintenance operation can be improved, and the efficiency of power grid equipment management work can be improved.
Example 8
On the basis of embodiment 7, the present embodiment describes in detail the specific steps of judging whether or not the power signal is abnormal, and determining the device to be operated.
1. Judging whether the power signal is abnormal
Determining that any power signal of the power grid equipment is abnormal when the difference value between the power grid characteristic data corresponding to the power grid equipment in the power grid panoramic dispatching knowledge graph and the corresponding source pasting data in the standing book storage table is larger than a preset threshold value;
and when the difference value between any power signal of the power grid equipment and the power grid characteristic data corresponding to the power grid equipment in the power grid panoramic dispatching knowledge graph and the corresponding source pasting data in the standing book storage table is smaller than or equal to a preset threshold value, determining that the power signal is normal.
2. Determining a device to be operated
In response to any power signal abnormality, identifying a device attribute in a ledger memory table of the power grid device corresponding to the abnormal power signal to determine a device to be operated:
if the equipment attribute is an auxiliary attribute, the equipment to be operated is power grid equipment and preposed power grid equipment corresponding to the abnormal power signal;
if the equipment attribute is the dominant force attribute, the equipment to be operated is power grid equipment corresponding to the abnormal power signal;
if the equipment attribute is the auxiliary attribute and the main force attribute, the equipment to be operated is the power grid equipment and the front-end power grid equipment corresponding to the abnormal power signal.
In the application, the elements of the word control library vector are alternative keywords, and the alternative keywords are selected from the power grid characteristic data or the corresponding paste source data in the account storage table.
Example 9
On the basis of embodiment 7 or 8, the present embodiment describes in detail a power grid device management method.
After receiving the power grid equipment corresponding to the abnormal power signal, the power grid panoramic dispatching knowledge graph obtained through the embodiment 1 or 2 obtains the CPU residual occupancy rate and the cache residual occupancy rate of the middle platform at the current moment, and calculates according to the CPU residual occupancy rate, the cache residual occupancy rate, the CPU usage occupancy rate and the cache usage occupancy rate of each power grid equipment panoramic model in operation, so as to obtain the number of the operational power grid panoramic dispatching knowledge graphs.
If the attribute of the abnormal power grid equipment is auxiliary attribute, acquiring a corresponding data transmission path, wherein each abnormal power grid equipment is provided with an electric energy transmission path or a data transmission path which is preset in correspondence with the corresponding abnormal power grid equipment, acquiring all the preposed power grid equipment of the abnormal power grid equipment in the data transmission path, and taking the abnormal power grid equipment and the acquired preposed power grid equipment as equipment to be operated.
The power grid panoramic dispatching knowledge graph, namely a power grid model, an automatic generation system acquires a city information model (City Information Modeling, CIM) of a power grid from an Energy Management System (EMS), acquires a plant station coordinate file from a geographic information system (geographic information system, GIS), establishes an electrical connection relation and a position relation between plant stations through topology analysis, automatically generates a geographic tidal current diagram meeting the geographic relative position and a corresponding plant station primary wiring diagram at a mapping workstation, and guides the map into the EMS system through SVG files, and is shown in fig. 3.
And establishing and storing the relationship of the middle compartment of the CIM model according to the SVG, mapping and describing CIM model specifications, thereby realizing the establishment of the position relationship of each device and the drawing of each device line, establishing a data input relationship table according to the integrated graph-model structure and the CIM model, storing corresponding related data in a database, and mapping that the related data have specific relationship from a specific framework.
Example 10
The present embodiment provides a power grid device management system, including:
the power signal acquisition module is used for acquiring power signals of all power grid equipment;
the power grid equipment information acquisition module is used for acquiring power grid characteristic data and a standing book storage table of each power grid equipment in the power grid panoramic dispatching knowledge graph;
the judging and comparing module is used for comparing the power signals of all the power grid devices with the power grid characteristic data and the standing book storage table of all the power grid devices in the power grid panoramic dispatching knowledge graph and judging whether the power signals are abnormal or not;
the power grid equipment management system comprises a to-be-operated module, a power grid equipment management module and a power grid equipment management module, wherein the to-be-operated module is used for responding to any abnormal power signal, determining the attribute of the power grid equipment corresponding to the abnormal power signal by using a standing account storage table, and determining to-be-operated equipment;
the extraction module is used for extracting Word control library vectors of the equipment to be operated from a Word2Vec model of the Word library in the power grid field;
and the overhaul module is used for overhauling the equipment to be operated one by one according to the alternative keywords in the word control library vector.
The method for realizing the specific functions of the functional modules is based on the methods described in examples 7 to 8.
Example 11
The present embodiment provides a computer-readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by a computing device, cause the computing device to perform the instructions of the grid device management method described in the above embodiments 7 to 8.
Example 12
The present embodiment provides a computing device including one or more processors, a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for executing the grid device management method described in the foregoing embodiments 7 to 8.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are all within the protection of the present invention.
Claims (16)
1. The power grid panoramic scheduling knowledge graph construction method is characterized by comprising the following steps of:
acquiring electric panoramic data;
preprocessing the acquired electric panoramic data to acquire a plurality of standing book storage tables, wherein each standing book storage table is associated with one power grid device;
acquiring power grid characteristic data from a preset power grid knowledge graph system according to keywords of each ledger memory table, and associating the power grid characteristic data with the corresponding ledger memory table;
and constructing a power grid panoramic dispatching knowledge graph according to the power grid characteristic data, the standing book storage table, the power grid equipment and the association relation between the power grid characteristic data, the standing book storage table and the power grid equipment.
2. The power grid panoramic scheduling knowledge graph construction method according to claim 1, wherein the power panoramic data comprises healthy SCADA measurement data, power grid topology data, power generation data, load prediction data, maintenance plans, scheduling regulations, scheduling plans, operation tickets, historical fault alarms, geographic information and meteorological information.
3. The power grid panoramic scheduling knowledge graph construction method according to claim 1, wherein the power grid knowledge graph system is selected from one or more of a scheduling specification graph, a scheduling plan graph, a power grid event graph and an abnormal event graph.
4. The power grid panoramic scheduling knowledge graph construction method according to claim 1, wherein each standing book storage table comprises source pasting data, associated power grid equipment names and equipment attributes.
5. The power grid panoramic scheduling knowledge graph construction method according to claim 4, wherein the attributes of the equipment comprise auxiliary attributes and/or dominant force attributes.
6. The grid panorama dispatching knowledge graph construction method according to claim 4, wherein when the attribute of the device comprises an auxiliary attribute, the ledger memory table comprises a name of a pre-grid device.
7. The utility model provides a power grid panorama scheduling knowledge graph construction system which is characterized by comprising:
the power data acquisition module is used for acquiring power panoramic data;
the power data preprocessing module is used for preprocessing the acquired power panoramic data to acquire a plurality of ledger storage tables, and each ledger storage table is associated with one power grid device;
the association module is used for acquiring the power grid characteristic data from a preset power grid knowledge graph system according to the keywords of each ledger memory table and associating the power grid characteristic data with the corresponding ledger memory table;
the map construction module is used for constructing a power grid panoramic dispatching knowledge map according to the power grid characteristic data, the standing book storage table, the power grid equipment and the association relation among the power grid characteristic data, the standing book storage table and the power grid equipment.
8. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-6.
9. A computing device comprising one or more processors, memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-6.
10. The power grid equipment management method is characterized by comprising the following steps of:
acquiring power signals of all power grid equipment;
acquiring power grid characteristic data and a standing book storage table of each power grid device in a power grid panoramic dispatching knowledge graph;
comparing the power signals of all the power grid devices with the power grid characteristic data and the standing book storage table of all the power grid devices in the power grid panoramic dispatching knowledge graph to judge whether the power signals are abnormal or not;
responding to the abnormality of any power signal, and determining the attribute of the power grid equipment corresponding to the abnormal power signal by using a standing account storage table so as to determine equipment to be operated;
extracting Word control library vectors of all equipment to be operated from Word2Vec models of Word libraries in the power grid field;
and overhauling the equipment to be operated one by one according to the alternative keywords in the word control library vector.
11. The method for managing power grid equipment according to claim 10, wherein comparing the power signal of each power grid equipment with the power grid characteristic data and the ledger memory table of each power grid equipment in the power grid panoramic dispatching knowledge graph, and determining whether the power signal is abnormal comprises:
and when the difference value between any power signal of the power grid equipment and the power grid characteristic data corresponding to the power grid equipment in the power grid panoramic dispatching knowledge graph and the corresponding source pasting data in the standing book storage table is larger than a preset threshold value, determining that the power signal is abnormal.
12. The power grid equipment management method according to claim 10, wherein in response to any one of the power signals being abnormal, determining the attribute of the power grid equipment corresponding to the abnormal power signal using the ledger memory table, and determining the equipment to be operated includes:
in response to any power signal abnormality, identifying a device attribute in a ledger memory table of the power grid device corresponding to the abnormal power signal to determine a device to be operated:
if the equipment attribute is an auxiliary attribute, the equipment to be operated is power grid equipment and preposed power grid equipment corresponding to the abnormal power signal;
if the equipment attribute is the dominant force attribute, the equipment to be operated is power grid equipment corresponding to the abnormal power signal;
if the equipment attribute is the auxiliary attribute and the main force attribute, the equipment to be operated is the power grid equipment and the front-end power grid equipment corresponding to the abnormal power signal.
13. The grid equipment management method of claim 10, wherein the elements of the word control library vector are alternative keywords;
the alternative keywords are selected from the corresponding paste source data in the power grid characteristic data or the account storage table.
14. A power grid equipment management system, comprising:
the power signal acquisition module is used for acquiring power signals of all power grid equipment;
the power grid equipment information acquisition module is used for acquiring power grid characteristic data and a standing book storage table of each power grid equipment in the power grid panoramic dispatching knowledge graph;
the judging and comparing module is used for comparing the power signals of all the power grid devices with the power grid characteristic data and the standing book storage table of all the power grid devices in the power grid panoramic dispatching knowledge graph and judging whether the power signals are abnormal or not;
the power grid equipment management system comprises a to-be-operated module, a power grid equipment management module and a power grid equipment management module, wherein the to-be-operated module is used for responding to any abnormal power signal, determining the attribute of the power grid equipment corresponding to the abnormal power signal by using a standing account storage table, and determining to-be-operated equipment;
the extraction module is used for extracting Word control library vectors of the equipment to be operated from a Word2Vec model of the Word library in the power grid field;
and the overhaul module is used for overhauling the equipment to be operated one by one according to the alternative keywords in the word control library vector.
15. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 10-13.
16. A computing device comprising one or more processors, memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 10-13.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116910130A (en) * | 2023-09-08 | 2023-10-20 | 中国长江电力股份有限公司 | Construction method of industrial data middle platform frame for hydropower equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116910130A (en) * | 2023-09-08 | 2023-10-20 | 中国长江电力股份有限公司 | Construction method of industrial data middle platform frame for hydropower equipment |
| CN116910130B (en) * | 2023-09-08 | 2023-12-26 | 中国长江电力股份有限公司 | Construction method of industrial data middle platform frame for hydropower equipment |
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