CN113449015A - Power grid fault processing method and device and electronic equipment - Google Patents
Power grid fault processing method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a power grid fault processing method and device and electronic equipment. Wherein, the method comprises the following steps: acquiring fault data aiming at power faults at a preset place; inputting fault data into a power grid panoramic model to obtain a power fault of a predetermined place, wherein the power grid panoramic model is obtained by machine training according to a plurality of groups of first samples, and the plurality of groups of first samples comprise: for sample data of power failure at a predetermined place and power failure corresponding to the sample data, the sample data comprises: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network. The invention solves the technical problem that the obtained fault information is incomplete and incomplete when the power grid fault is researched and judged in the related technology.
Description
Technical Field
The invention relates to the field of computers, in particular to a power grid fault processing method and device and electronic equipment.
Background
The method comprises the steps of independently conducting single item study and judgment analysis on a main network or a power distribution network, concentrating on power grid fault analysis and fault location, analyzing power grid operation information, pushing results and the like.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a power grid fault processing method, a device and electronic equipment, which are used for at least solving the technical problems that the obtained fault information is incomplete and incomplete when power grid faults are researched and judged in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a power grid fault processing method, including: acquiring fault data aiming at power faults at a preset place; inputting the fault data into a power grid panoramic model to obtain the power fault of the predetermined place, wherein the power grid panoramic model is obtained by performing machine training according to multiple groups of first samples, and the multiple groups of first samples comprise: the method comprises the following steps of aiming at sample data of power failure at a preset place and power failure corresponding to the sample data, wherein the sample data comprises the following steps: sample fault data for the predetermined offsite network and sample fault data for the predetermined onsite.
Optionally, after the fault data is input into a power grid panoramic model to obtain a power fault of the predetermined site, the method further includes: determining associated elements associated with the power failure according to the power protection knowledge graph; and generating a fault handling scheme for processing the power fault according to the related elements related to the power fault.
Optionally, generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault includes: determining a degree of association to which each of the plurality of association elements corresponds, when the plurality of association elements associated with the power failure include a plurality of association elements; and generating a fault handling scheme for processing the power fault according to the relevant elements with the relevance degrees larger than the preset degree threshold value.
Optionally, after generating a fault handling scheme for handling the power fault according to the associated element associated with the power fault, the method further includes: acquiring current state data of the power failure and current handling state data for handling the power failure; obtaining global data according to the associated elements and the fault handling scheme associated with the power fault, wherein the global data comprises at least one of the following: image data, video data, text data, voice data related to the fault handling scheme and associated elements associated with the power fault; displaying the current status data, the current treatment status data, and the global data on a screen.
Optionally, displaying the global data on a screen, further includes: and under the condition that the quantity of the displayed global data is greater than a preset quantity threshold value, sorting according to the association degree of the global data, and selecting a preset quantity of global data for displaying.
Optionally, the method according to any one of the preceding claims, the predetermined venue comprising a competition venue.
Optionally, the current status, the current treatment status and the global data are displayed on a screen, including at least one of: the system comprises a power failure brief report, an affected inside-venue power distribution picture, an affected venue power distribution video, an affected venue power tracking picture, an affected substation real-time monitoring picture, a affected area load list, an affected venue current event list, and support personnel information and an area disposal scheme in the affected area.
According to another aspect of the embodiments of the present invention, there is also provided a power grid fault handling apparatus, including: the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring fault data aiming at power faults at a preset place; the processing module is used for inputting the fault data into a power grid panoramic model to obtain the power fault of the predetermined place, wherein the power grid panoramic model is obtained by performing machine training according to a plurality of groups of first samples, and the plurality of groups of first samples comprise: the method comprises the following steps of aiming at sample data of power failure at a preset place and power failure corresponding to the sample data, wherein the sample data comprises the following steps: sample fault data for the off-site network and sample fault data for the on-site network.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement any one of the grid fault handling methods.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, wherein instructions of the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the power grid fault handling methods.
According to another aspect of the embodiments of the present invention, there is also provided a computer program product, including a computer program, which when executed by a processor implements any one of the grid fault handling methods.
In the embodiment of the invention, the power grid panoramic model is adopted to combine the fault data in the preset place with the fault data outside the preset place, and the power fault of the preset place is obtained by comprehensively analyzing various fault data in a plurality of preset places, so that the purpose of comprehensively obtaining fault information is achieved, and the technical problems that the obtained fault information is incomplete and incomplete when the power grid fault is researched and judged in the related technology are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow diagram of a method of grid fault handling according to an embodiment of the invention;
FIG. 2 is a flow diagram of a method for building an emergency response protocol trigger library provided in accordance with an alternative embodiment of the present invention;
FIG. 3 is a schematic diagram of obtaining power failure information based on a panoramic model of a power grid, provided in accordance with an alternative embodiment of the present invention;
fig. 4 is a block diagram of a structure of a grid fault handling apparatus according to an embodiment of the present invention;
FIG. 5 is an apparatus block diagram of a terminal according to an embodiment of the present invention;
fig. 6 is an apparatus block diagram of a server according to an embodiment of the present invention.
Detailed Description
According to an embodiment of the present invention, there is provided a grid fault handling method embodiment, it should be noted that the steps shown in the flowcharts of the attached figures may be executed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in an order different from the order shown.
Fig. 1 is a flowchart of a grid fault handling method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, acquiring fault data aiming at power failure at a preset place;
step S104, inputting fault data into a power grid panoramic model to obtain power faults of a preset place, wherein the power grid panoramic model is obtained by performing machine training according to multiple groups of first samples, and the multiple groups of first samples comprise: for sample data of power failure occurring in a predetermined site and power failure corresponding to the sample data, the sample data includes: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network.
Through the steps, the power grid panoramic model is adopted to combine the fault data in the preset place with the fault data outside the preset place, and the power fault of the preset place is obtained through comprehensive analysis of various fault data in a plurality of preset places, so that the purpose of comprehensively obtaining fault information is achieved, and the technical problems that the obtained fault information is incomplete and incomplete when the power grid fault is researched and judged in the related technology are solved.
As an alternative embodiment, the predetermined places may be all places using electricity or supplying power, and the predetermined places may be divided based on regions, divided based on application scenes, and the like. For example, the predetermined place may be divided based on regions, where a city a is used as one region, and the predetermined place may include a main power supply network of the city a, a plurality of power supply distribution networks of the city a, a user-side power grid of the city a, and the like; the application scene division can be performed according to important activities or special electricity utilization types, for example, when the application scene is based on the important activities, the predetermined place can comprise a dispatching system side power grid, an acquisition system side power grid, a distribution automation system side power grid and the like. By connecting a plurality of preset places related to the power grid, the power grid fault detection with the full voltage level of 500kV to 380V can be realized, the upper and lower bidirectional influence ranges can be analyzed according to the analyzed fault points, and the comprehensive study and judgment on the fault can be conveniently carried out by using a power grid panoramic model.
As an alternative embodiment, the fault data generated for the predetermined location is obtained, that is, when a fault occurs in the predetermined location, the fault data is detected, wherein the fault data includes a plurality of types, for example, distribution network status data, venue load data, device data, and the like. By acquiring the comprehensive fault data and performing fault processing operation according to the fault data, the problems that fault data information is omitted, and the caused fault problem cannot be solved or cannot be solved in time can be avoided.
As an alternative embodiment, the fault data is input into the power grid panoramic model, and the obtained power fault at the predetermined location is obtained, where the power fault is data obtained in the power grid panoramic model and related to the power fault, that is, information related to the fault information, and the data included in the power fault includes many data, for example, reduced event information, fault line data, power distribution network state data, venue load data, retrieved fault equipment data, equipment topology related data, operation and maintenance data of a fault point and equipment directly affected, measurement data characteristic values, and so on, which are obtained by analyzing the power grid panoramic model. It should be noted that, according to the data in the power failure, the failure prediction operation of the power grid operation risk may also be performed, where the data for failure prediction is many, for example, power grid operation data, primary equipment state information, accurate weather warning information, and the like. When a certain link in a power grid breaks down, electric power operation network data of a plurality of systems are involved, the related data volume is huge, and data related to the fault needs to be extracted at the moment so as to analyze and combine the data related to the fault in a targeted manner and process the fault comprehensively.
As an optional embodiment, the power grid panoramic model may be obtained by comprehensively splicing models of multiple power utilization places, for example, by splicing models of a power transmission network at the periphery of a venue, a power distribution network and a power distribution network inside the venue, so that a power grid panoramic model of the venue from 500kV to 380V can be constructed, and a power fault of a predetermined place can be obtained according to the fault data. Wherein, electric wire netting panorama model carries out the machine training according to the first sample of multiunit and obtains, and the first sample of multiunit includes: for sample data of power failure at a predetermined place and power failure corresponding to the sample data, the sample data comprises: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network. The power grid panoramic model is obtained by adopting a mode that the sample data of the power failure at the preset place and the power failure corresponding to the sample data are used as training sample training models, and the power grid panoramic model is more intelligent and accurate compared with the mode that the sample data of the power failure at the preset place and the sample failure data in the preset place are simply used as the basis.
As an optional embodiment, after inputting the fault data into the power grid panoramic model to obtain the power fault of the predetermined site, the method further includes: and determining the associated elements associated with the power failure according to the power protection knowledge graph. The power-conserving knowledge map is a professional knowledge base which extracts knowledge from different data types such as structured, semi-structured, unstructured text, multi-modal and the like of power faults to obtain associated elements associated with the power faults, wherein the knowledge extraction process comprises various operations, such as data cleaning after analysis in multiple aspects, namely checking the consistency of data and processing invalid and missing data; after data is cleaned, entity identification operation is carried out, namely an event main body expressed in data information is identified, namely key points in each piece of data are identified; after the entity identification operation, performing a relationship extraction operation, namely extracting the entities, and judging whether the entities have a relationship or not and whether a certain relationship exists or not; after the relation is extracted, performing coreference resolution and entity disambiguation, namely judging whether the same entity has different expressions or not, and judging whether the same expression has different expressions in different data environments; and the like, and obtaining the related elements related to the power failure through the steps. The power-protection knowledge map is used for storing data information matched with the associated elements associated with the power failure, and the associated element information associated with the power failure can be obtained through the power failure, so that the power failure information is further simplified. The related elements related to the power failure are a series of information obtained from the power conservation knowledge map after the power failure at the predetermined location is obtained, and for example, the related elements may be obtained as an equipment configuration, a failure influence, a failure cause, a plurality of events, and the like. Branches can be expanded in each related element, for example, the failure cause can comprise a primary cause, a secondary cause and the like; related events may include top events, middle events, base events, and so on. According to the related elements of different power failure association generated by the specific power failure, the power failure can be analyzed in a targeted manner, and the results are generated in a classification manner, so that various related information of the power failure can be known more clearly and definitely to perform failure analysis operation.
As an alternative embodiment, in the case where the associated element associated with the power failure includes a plurality of associated elements, the association degrees corresponding to the plurality of associated elements are determined. The faults are different, the association degree of the association elements associated with the power faults is different, and the association degree corresponding to the association elements is determined according to the power fault information, so that the faults can be processed according to the association degree when being processed, and the processing process is simpler and more effective.
As an alternative embodiment, a fault handling scheme for handling the power fault is generated according to the associated elements corresponding to the associated degree greater than the predetermined degree threshold. Since there are related elements that are not critical to the failure processing procedure among related elements related to the power failure, a predetermined degree threshold is set, and related elements are screened so that related elements having a certain degree of correlation can participate in a failure handling plan for the power failure. The data redundancy is avoided, and the influence of weak related factors on the overall fault processing effect is prevented.
As an optional embodiment, the fault handling scheme is generated according to the associated elements corresponding to the threshold value greater than the predetermined degree, and may be generated in multiple ways, for example, in a power conservation knowledge graph, an emergency plan triggering rule base is established, the associated elements are sorted according to the degree of correlation, and a fault handling scheme is obtained according to the sorting, where; for another example, a decision tree is established, the decision tree includes various branches, the branches represent different associated elements, the associated elements corresponding to the thresholds greater than the predetermined degree are inserted into the decision tree according to the instructions of the decision tree, and the decision tree selects a fault handling scheme; for another example, the method of the emergency plan triggering rule base and the decision tree may be integrated to select the fault disposal scheme; and so on. The fault handling scheme is obtained through the method, the starting condition of the fault handling scheme is converted into quantifiable related elements, and then the related elements are processed. The fault handling scheme corresponding to the fault can be generated according to the fault pertinently, and the accuracy of the fault handling scheme is ensured.
As an optional embodiment, after generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault, the method further includes: acquiring current state data of the power failure and current handling state data for handling the power failure; in the process of generating a fault handling scheme to handle a fault, current state data of the power fault needs to be known to determine the state of a current place where the power fault occurs, namely whether the fault is processed according to the fault handling scheme, whether the fault handling is finished, whether the fault is solved, and the like; there is a need to know the current handling status data for handling power failures, i.e. how the failure handling has progressed after the failure has started to be handled according to the failure handling scheme, etc. By knowing the current state and the handling state of the power failure, the state of the current fault-occurring predetermined place can be more clearly known, and the operation of fault handling is convenient to manage.
As an alternative embodiment, global data is obtained according to the associated element and the fault handling scheme associated with the power fault, where the global data includes at least one of: the related elements related to the power failure are image data, video data, text data, and voice data related to the failure handling scheme. Since the related elements related to the power failure are key information extracted after the failure data, each related element corresponds to some data related to the failure, for example, when the key element is a failure range, monitoring video data of all places in the failure range needs to be called, and the like. In the fault handling scheme, for a specific measure of fault handling, when the fault handling scheme is in effect, many data may be involved, for example, when a faulty location is repaired, the faulty location needs to be called to repair video data, including text data of a repair method, voice data for broadcasting a repair process, and the like. Data can be called out more intuitively and comprehensively by a plurality of elements and fault handling schemes, and fault handling is facilitated.
As an alternative embodiment, the current status data, the current treatment status data and the global data are displayed on a screen. By displaying the failure handling information list on the screen, it is possible to comprehensively understand various information. It should be noted that in the global data displayed on the screen, when the number of the displayed global data is greater than the threshold of the predetermined number, the global data is sorted according to the association degree of the global data, and the predetermined number of the global data is selected for display. Because the global data relates to image data, video data, text data and voice data and the data volume is large, the most critical information is displayed in a limited display area according to the association degree, the fault can be displayed more accurately, and the most critical information is displayed to the maximum extent.
As an alternative embodiment, the grid fault handling method may be applied to a plurality of scenarios, and the predetermined locations included should not be the same, for example, the predetermined locations include a competition venue. It should be noted that the data displayed on the screen is different depending on the predetermined location. For example, in a scenario where the predetermined venue is a competition venue, the current status, the current treatment status, and the global data are displayed on a screen, including at least one of: the system comprises a power failure brief report, an affected inside-venue power distribution picture, an affected venue power distribution video, an affected venue power tracking picture, an affected substation real-time monitoring picture, a affected area load list, an affected venue current event table, affected area support personnel information and an affected area disposal scheme. The power grid fault processing method is more universal, has applicability and can be applied to multiple scenes.
Based on the above embodiments and alternative embodiments, an alternative implementation is provided, which is described in detail below.
In the related art, there are various methods for handling a grid fault. For example, an intelligent analysis method for grid fault diagnosis includes: after the power grid fails, the OGSADAI client automatically detects the transformer substation in the area, and the OGSADAI client captures a packet after finding alarm information and uploads the packet to a fault diagnosis system after analysis; after receiving the alarm data, the fault diagnosis system searches and positions the area with power failure, and compares the information with the data by using a fault diagnosis method of an expert system, so that the fault of the power grid is intelligently analyzed; and when the fault diagnosis system does not detect the fault of the power grid, the operation is automatically stopped, the received alarm information is repeatedly detected after 5ms, and when the fault diagnosis system obtains a detection result according to the alarm information, the result is output. A power distribution network intelligent fault studying and judging system and method comprises a fault acquisition module, a communication module, a server and a visual platform; the fault acquisition module comprises a user arrearage detection module, a user ammeter detection module, a transformer detection module and a power grid line fault detection device; the user arrearage detection module is used for judging whether the fault is caused by user arrearage or not, and is connected with the server through the communication module; faults on the high-voltage side and the user side of the power grid line are comprehensively detected through progressive fault elimination and analysis layer by layer, the fault range is more accurately positioned, and the maintenance rate is improved; the maintenance personnel short message pushing module is arranged, maintenance personnel are enabled to carry out a state to be maintained when a fault occurs, the maintenance personnel are prompted after the fault is confirmed and relieved, maintenance speed is accelerated, and waste of human resources is reduced. A power distribution network active first-aid repair method and a research and judgment system based on multiple fault information sources are disclosed. A power distribution network fault treatment full research and judgment method comprehensively analyzes fault types such as short-circuit faults, earth loss faults, phase failure faults, bus voltage loss, line heavy overload and the like by a power distribution automation system, and performs information interaction and fusion by combining functions of fault treatment processes such as fault sensing, fault analysis, isolation power transfer, fault first-aid repair, power transmission operation, ending and the like. The method establishes a set of complete study and judgment fault processing closed-loop management flow which transversely covers all fault types of the power distribution network, covers the common faults of the power distribution network, such as short-circuit faults, phase failure faults, bus voltage loss, earth loss faults, line heavy overload and the like, switches on the fault processing service of the power distribution network, longitudinally penetrates through the fault sensing, the fault analysis, the isolation power transfer, the fault first-aid repair, the power transmission operation, the ending and other processes; after the DMS system receives the alarm information of various faults, the DMS system carries out active fault study and judgment perception after analyzing and identifying the effectiveness of the fault signals, and comprehensively analyzes the study and judgment results, thereby being convenient for commanding the operations of site search and isolation, supply and the like. An intelligent extraction and classification processing method for power monitoring information comprises the following steps: s1, extracting information of a monitoring system, and finding an information table containing accidents and abnormity from an EMS database; s2, screening monitoring information; s3, acquiring result information screened and defined in the step S2, acquiring alarm content, segmenting the alarm content according to rules, and extracting alarm time, station name, information name, action type and interval ID; s4, judging the state of the interval according to the acquired interval ID, and shielding the information of the interval of the cold standby state; s5, further shielding information which does not need to be processed by editing logical relations among the keywords; and S6, storing the information in a result display, storing the information after screening and processing in a server, and displaying the screening result.
However, when the method is adopted to process the power failure, the problems that the analysis and the fault location are mainly focused on the power grid fault information and the information capturing is incomplete exist; the method has the problems that the main network or the power distribution network is mainly and independently subjected to one-way study and judgment analysis, and the two-way fault study and judgment from the full voltage level of 500kV to 380V is not realized; the method has the problems that the analysis and result pushing are mainly carried out on the power grid operation information, and the pushed information is incomplete; the problems that structured data can not be efficiently and comprehensively captured and analyzed, and unstructured, semi-structured, multi-modal data and the like can not be efficiently and comprehensively captured and analyzed exist; the method has the problems that analysis is mainly carried out based on an automatic system or a GIS system, and fault information penetration type perception based on data twin real-time monitoring is not realized.
In view of this, the optional embodiment of the present invention provides an intelligent and fast capturing and pushing method for power grid fault related information, which can comprehensively analyze information of multiple sources and different dimensions that a commander needs to know in view of a peripheral power grid fault, a venue power distribution network fault, and other scenes, and enable the commander to quickly grasp a field fault state, an influence range, and provide a fault handling speed through intelligent information fusion and active pushing. The fault is synthesized according to the power grid panoramic model, fault brief reports of all source service systems are synthesized, and comprehensive study and judgment of fault information is achieved. The method comprises the steps of analyzing a guarantee object in a fault influence range and resources required by fault handling through intelligent association of fault information, sorting according to intelligent judgment selection information, and actively pushing a current fault state, monitoring information and an interface in a handling process to form multi-screen linkage. And the emergency accident can be solved and quickly positioned, information is provided for commanders, so that the commanders can quickly know various protection factors, personnel distribution conditions, emergency plans and influence ranges, and the commanders can make an auxiliary decision to process the fault. Each of the modules in the alternative embodiments of the present invention will now be described in detail.
1) Panoramic power grid model
And splicing models of the power transmission network and the power distribution network at the periphery of the venue and the power distribution network in the venue to construct a power grid panoramic model of the venue from 500kV to 380V.
2) Construction of an Emergency plan trigger rule base
Fig. 2 is a flowchart of constructing an emergency plan trigger library according to an alternative embodiment of the present invention, as shown in fig. 2, according to the factors of the type of power equipment, the voltage class, the fault type, namely, the relevant elements associated with the power failure are determined according to the power protection knowledge graph, and various emergency plans are classified and analyzed according to the relevant elements, wherein, the related elements related to the power failure determined by the power-conserving knowledge map are obtained by classifying and analyzing the failure data in different data aspects of structuring, semi-structuring, unstructured text, multi-mode and the like, and performing correlation analysis on the starting conditions of each emergency plan through ontology matching and example matching, converting the starting conditions of the plans into quantifiable data, and then hanging the quantifiable data to a decision tree to form an emergency plan triggering rule base and the decision tree.
3) Intelligent fusion analysis of fault information
Fig. 3 is a schematic diagram for acquiring power failure information based on a power grid panoramic model according to an optional embodiment of the present invention, as shown in fig. 3, when an accident occurs, a dispatching and distribution automation system and an acquisition system respectively provide failure brief report or failure alarm information, filter and summarize alarm items, extract failure features through a deep learning model, obtain a simplified event information, and fuse information of each application system to determine a failure line, including affected substation and line of 220kV and 110kV, 10kV distribution line to 10kV demarcation room, study and judge a power incoming line of a venue affected by the failure, further study and judge a network state of the venue power distribution room according to a real-time power flow state, locate a load of the affected venue, and perform event feature analysis on the power failure.
4) Event feature analysis
According to the method, fault equipment data and equipment topology associated data are automatically retrieved by a power fault data system, operation and maintenance data and measured data characteristic values of fault points and directly influenced equipment are extracted and used as input parameters of an emergency plan decision tree, and then an emergency plan corresponding to an event is captured from an emergency plan rule base according to the decision tree.
5) Fault research and judgment information aggregation
In the fault handling process, a commander needs to see a scene interface most relevant to fault handling from various monitoring information scenes, so that the system collects various types of information relevant to guarantee, constructs the association relationship of various power-conserving elements by using an intelligent association algorithm, wherein the association relationship comprises elements such as real-time videos, influence ranges, the commander and a power grid tidal current diagram, namely the association elements associated with power faults and image data, video data, text data and voice data relevant to a fault handling scheme, and can realize fault pre-judgment operation on the power grid operation risk according to the data, such as power grid operation data, primary equipment state information, accurate weather warning information and the like.
6) Electricity-preserving knowledge map
Based on a power grid panoramic model, an emergency plan triggering rule base and a decision tree, intelligent fusion analysis of fault information, event characteristic analysis and fault study and judgment information aggregation are carried out, associated elements related to power faults are constructed in a power-conserving knowledge map, the associated elements include fault knowledge of entity information, and the associated elements related to the power faults are formed into a professional knowledge base for fault disposal.
7) Intelligent sequencing of associated elements associated with power failure
According to the vocabulary semantic similarity calculation method based on the knowledge network, the information association degree of the association elements of the entity and the power failure association is calculated according to the failure content, and then the information is sequenced according to the association degree.
8) Intelligent push
When a fault occurs, a fault entity-influence range-monitoring information template is formed on the basis of a space model according to key named entities in a mining and analyzing fault report, and image data, video data, text data and voice data related to the relevant elements related to the power fault and a fault handling scheme are displayed according to the intelligent sorting result of the relevant elements related to the power fault. And pushing a template-based fault handling information list is realized. And displaying each related information picture in a multi-screen mode, and providing auxiliary information for emergency decision of a command center. On the command large screen, according to the associated elements and the fault handling scheme associated with the power fault, the platform actively pushes information which is to display a plurality of screens, and various information monitoring and interaction screens are spliced from the main screen.
It should be noted that the information displayed on the screen includes: the system comprises a power grid fault brief report, an affected venue internal distribution diagram, an affected venue distribution video, an affected venue power tracking diagram, an affected substation real-time monitoring view, an affected important load list, an affected venue current event list, the guarantee personnel information of an affected range object and a guarantee plan.
Through the above alternative embodiment, at least the following advantages can be achieved:
1) constructing a power grid panoramic model of a venue from 500kV to 380V, and bidirectionally analyzing loads of an upper station line and a lower venue which are influenced;
2) converting the starting condition of the plan into quantifiable data to form an emergency plan triggering rule base and a decision tree for subsequent emergency plan matching;
3) based on a space model, active early warning, automatic positioning, intelligent screening and checking of monitoring videos, emergency resources and guarantee force around an event place and assistance of commanders in guarantee command are realized;
4) various data information is accessed based on the system to realize intelligent prejudgment of the power grid operation risk, the command center flattening command scheduling capability is strengthened, and the command center emergency handling strength is improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts or the sequence of acts described, as some steps may be performed in other orders or concurrently according to the present invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is further provided an apparatus for implementing the foregoing power grid fault handling method, and fig. 4 is a block diagram of a structure of the power grid fault handling apparatus according to the embodiment of the present invention, as shown in fig. 4, the apparatus includes: an acquisition module 402 and a processing module 404, which are described in detail below.
An obtaining module 402, configured to obtain fault data of a power failure occurring at a predetermined location; the processing module 404 is connected to the obtaining module 402, and configured to input fault data into the power grid panoramic model to obtain a power fault in a predetermined location, where the power grid panoramic model is obtained by performing machine training according to multiple sets of first samples, and the multiple sets of first samples include: for sample data of power failure at a predetermined place and power failure corresponding to the sample data, the sample data comprises: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network.
It should be noted here that the obtaining module 402 and the processing module 404 correspond to steps S102 to S104 in the first method for processing a grid fault, and a plurality of modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1.
Example 3
The embodiment of the disclosure can provide an electronic device, which may be a terminal or a server. In this embodiment, the electronic device may be any one of computer terminal devices in a computer terminal group as a terminal. Optionally, in this embodiment, the terminal may also be a terminal device such as a mobile terminal.
Optionally, in this embodiment, the terminal may be located in at least one network device of a plurality of network devices of a computer network.
Alternatively, fig. 5 is a block diagram illustrating a structure of a terminal according to an exemplary embodiment. As shown in fig. 5, the terminal may include: one or more processors 51 (only one shown in the figure), a memory 52 for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the grid fault handling method of any one of the above.
The memory may be configured to store software programs and modules, such as program instructions/modules corresponding to the power grid fault handling method and apparatus in the embodiments of the present disclosure, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, so as to implement the power grid fault handling method. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the computer terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: acquiring fault data aiming at power faults at a preset place; inputting fault data into a power grid panoramic model to obtain a power fault of a predetermined place, wherein the power grid panoramic model is obtained by performing machine training according to a plurality of groups of first samples, and the plurality of groups of first samples comprise: aiming at the sample data of the power failure at the preset place and the power failure corresponding to the sample data, the sample data comprises: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network.
Optionally, the processor may further execute the program code of the following steps: after the fault data are input into the power grid panoramic model and the power fault of the predetermined place is obtained, the method further comprises the following steps: determining associated elements associated with the power failure according to the power protection knowledge graph; and generating a fault handling scheme for processing the power fault according to the related elements related to the power fault.
Optionally, the processor may further execute the program code of the following steps: generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault, wherein the fault handling scheme comprises the following steps: determining a degree of association corresponding to each of the plurality of association elements when the plurality of association elements associated with the power failure are included; and generating a fault handling scheme for processing the power fault according to the relevant elements with the relevance degrees larger than the preset degree threshold value.
Optionally, the processor may further execute the program code of the following steps: after generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault, the method further includes: acquiring current state data of the power failure and current handling state data for handling the power failure; acquiring global data according to the associated elements associated with the power failure and the failure handling scheme, wherein the global data comprises at least one of the following: image data, video data, text data, voice data related to the fault handling scheme and associated elements associated with the power fault; the current status data, the current treatment status data and the global data are displayed on a screen.
Optionally, the processor may further execute the program code of the following steps: displaying the global data on a screen, further comprising: and under the condition that the quantity of the displayed global data is greater than a preset quantity threshold value, sorting according to the degree of association of the global data, and selecting the global data with the preset quantity for display.
Optionally, the processor may further execute the program code of the following steps: according to any of the methods, the predetermined venue comprises a competition venue.
Optionally, the processor may further execute the program code of the following steps: displaying on a screen a current status, a current treatment status, and global data, including at least one of: the system comprises a power failure brief report, an affected inside-venue power distribution picture, an affected venue power distribution video, an affected venue power tracking picture, an affected substation real-time monitoring view, a affected area load list, an affected venue current event list, and support personnel information and an area disposal scheme in the affected area.
In the embodiment of the present disclosure, the electronic device serves as a server, and fig. 6 is a block diagram illustrating a structure of a server according to an exemplary embodiment. As shown in fig. 6, the server 60 may include: one or more (only one shown) processing components 61, a memory 62 for storing instructions executable by the processing components 61, a power supply component 63 for supplying power, a network interface 64 for implementing communication with an external network, and an I/O input/output interface 65 for data transmission with the outside; wherein the processing component 61 is configured to execute instructions to implement any of the above described grid fault handling methods.
The memory may be configured to store software programs and modules, such as program instructions/modules corresponding to the power grid fault handling method and apparatus in the embodiments of the present disclosure, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, so as to implement the power grid fault handling method. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the computer terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processing component can call the information and the application program stored in the memory through the transmission device to execute the following steps: acquiring fault data aiming at power faults at a preset place; inputting fault data into a power grid panoramic model to obtain a power fault of a predetermined place, wherein the power grid panoramic model is obtained by performing machine training according to a plurality of groups of first samples, and the plurality of groups of first samples comprise: aiming at the sample data of the power failure at the preset place and the power failure corresponding to the sample data, the sample data comprises: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network.
Optionally, the processing component may further execute program codes of the following steps: after the fault data are input into the power grid panoramic model and the power fault of the predetermined place is obtained, the method further comprises the following steps: determining related elements related to power failure according to the power protection knowledge graph; and generating a fault handling scheme for processing the power fault according to the related elements related to the power fault.
Optionally, the processing component may further execute program codes of the following steps: generating a fault handling scheme for processing the power fault according to the associated elements associated with the power fault, wherein the fault handling scheme comprises the following steps: determining a degree of association to which each of the plurality of association elements corresponds, when the plurality of association elements associated with the power failure include a plurality of association elements; and generating a fault handling scheme for processing the power fault according to the relevant elements with the relevance degrees larger than the preset degree threshold value.
Optionally, the processing component may further execute program codes of the following steps: after generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault, the method further includes: acquiring current state data of the power failure and current handling state data for handling the power failure; acquiring global data according to the associated elements associated with the power failure and the failure handling scheme, wherein the global data comprises at least one of the following: image data, video data, text data, voice data related to the fault handling scheme and associated elements associated with the power fault; displaying the current state data, the current treatment state data and the global data on a screen.
Optionally, the processing component may further execute program codes of the following steps: displaying the global data on a screen, further comprising: and under the condition that the quantity of the displayed global data is greater than a preset quantity threshold value, sorting according to the degree of association of the global data, and selecting the global data with the preset quantity for display.
Optionally, the processing component may further execute program codes of the following steps: according to any of the methods, the predetermined venue comprises a competition venue.
Optionally, the processing component may further execute program codes of the following steps: displaying on a screen a current status, a current treatment status, and global data, including at least one of: the system comprises a power failure brief report, an affected inside-venue power distribution picture, an affected venue power distribution video, an affected venue power tracking picture, an affected substation real-time monitoring view, a affected area load list, an affected venue current event list, and support personnel information and an area disposal scheme in the affected area.
It can be understood by those skilled in the art that the structures shown in fig. 5 and fig. 6 are only schematic, for example, the terminal may also be a terminal device such as a smart phone (e.g., an Android phone, an IOS phone, etc.), a tablet computer, a palmtop computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 5 and 6 do not limit the structure of the electronic device. For example, it may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in fig. 5, 6, or have a different configuration than shown in fig. 5, 6.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Example 4
In an exemplary embodiment, there is also provided a computer readable storage medium comprising instructions which, when executed by a processor of a terminal, enable the terminal to perform any of the above described grid fault handling methods. Alternatively, the computer readable storage medium may be a non-transitory computer readable storage medium, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Optionally, in this embodiment, the computer-readable storage medium may be used to store the program codes executed by the grid fault processing method provided in the foregoing embodiment.
Optionally, in this embodiment, the computer-readable storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: acquiring fault data aiming at power faults at a preset place; inputting fault data into a power grid panoramic model to obtain a power fault of a predetermined place, wherein the power grid panoramic model is obtained by machine training according to a plurality of groups of first samples, and the plurality of groups of first samples comprise: the method comprises the following steps of aiming at sample data of power failure at a preset place and power failure corresponding to the sample data, wherein the sample data comprises the following components: sample fault data for a predetermined offsite network and sample fault data for a predetermined onsite network.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: after the fault data are input into the power grid panoramic model and the power fault of the predetermined place is obtained, the method further comprises the following steps: determining associated elements associated with the power failure according to the power protection knowledge graph; and generating a fault handling scheme for processing the power fault according to the related elements related to the power fault.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault, wherein the fault handling scheme comprises the following steps: determining a degree of association corresponding to each of the plurality of association elements when the plurality of association elements associated with the power failure are included; and generating a fault handling scheme for processing the power fault according to the relevant elements with the relevance degrees larger than the preset degree threshold value.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: after generating a fault handling scheme for handling the power fault according to the related elements related to the power fault, the method further includes: acquiring current state data of the power failure and current handling state data for handling the power failure; acquiring global data according to the associated elements associated with the power failure and the failure handling scheme, wherein the global data comprises at least one of the following: image data, video data, text data, voice data related to the fault handling scheme and associated elements associated with the power fault; and displaying the current state data, the current treatment state data and the whole office data on a screen.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: displaying the global data on a screen, further comprising: and under the condition that the quantity of the displayed global data is greater than the preset quantity threshold value, sorting according to the association degree of the global data, and selecting the global data with the preset quantity for displaying.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: according to any of the methods, the predetermined venue comprises a competition venue.
Optionally, in this embodiment, the computer readable storage medium is configured to store program code for performing the following steps: displaying on a screen a current status, a current treatment status, and global data, including at least one of: the system comprises a power failure brief report, an affected inside-venue power distribution picture, an affected venue power distribution video, an affected venue power tracking picture, an affected substation real-time monitoring picture, a affected area load list, an affected venue current event table, and support personnel information and an area disposal scheme in the affected area.
In an exemplary embodiment, a computer program product is also provided, which, when executed by a processor of an electronic device, enables the electronic device to perform the power grid fault handling method of any of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.
Claims (11)
1. A grid fault handling method is characterized by comprising the following steps:
acquiring fault data aiming at power faults at a preset place;
inputting the fault data into a power grid panoramic model to obtain the power fault of the predetermined place, wherein the power grid panoramic model is obtained by performing machine training according to multiple groups of first samples, and the multiple groups of first samples comprise: the method comprises the following steps of aiming at sample data of power failure at a preset place and power failure corresponding to the sample data, wherein the sample data comprises the following steps: sample fault data for the predetermined offsite network and sample fault data for the predetermined onsite network.
2. The method of claim 1, wherein after inputting the fault data into a grid panoramic model to obtain the power fault at the predetermined site, further comprising:
determining associated elements associated with the power failure according to the power protection knowledge graph;
and generating a fault handling scheme for processing the power fault according to the related elements related to the power fault.
3. The method of claim 2, wherein generating a fault handling scheme for handling the power fault from the associated elements associated with the power fault comprises:
determining a degree of association to which each of the plurality of association elements corresponds, when the plurality of association elements associated with the power failure include a plurality of association elements;
and generating a fault handling scheme for processing the power fault according to the relevant elements with the relevance degrees larger than the preset degree threshold value.
4. The method of claim 2, wherein after generating a fault handling scheme for handling the power fault according to the associated elements associated with the power fault, further comprising:
acquiring current state data of the power failure and current handling state data for handling the power failure;
obtaining global data according to the associated elements and the fault handling scheme associated with the power fault, wherein the global data comprises at least one of the following: image data, video data, text data, voice data related to the fault handling scheme and associated elements associated with the power fault;
displaying the current status data, the current treatment status data, and the global data on a screen.
5. The method of claim 4, wherein displaying the global data on a screen further comprises:
and under the condition that the quantity of the displayed global data is greater than a preset quantity threshold value, sorting according to the association degree of the global data, and selecting the global data with the preset quantity for displaying.
6. The method of any one of claims 1 to 5, wherein the predetermined venue comprises a competition venue.
7. The method of claim 6, wherein displaying the current status, the current treatment status, and the global data on a screen comprises at least one of: the system comprises a power failure brief report, an affected inside-venue power distribution picture, an affected venue power distribution video, an affected venue power tracking picture, an affected substation real-time monitoring picture, a affected area load list, an affected venue current event list, and support personnel information and an area disposal scheme in the affected area.
8. A grid fault handling device, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring fault data aiming at power faults at a preset place;
the processing module is used for inputting the fault data into a power grid panoramic model to obtain the power fault of the predetermined place, wherein the power grid panoramic model is obtained by performing machine training according to multiple groups of first samples, and the multiple groups of first samples comprise: the method comprises the following steps of aiming at sample data of power failure at a preset place and power failure corresponding to the sample data, wherein the sample data comprises the following steps: sample fault data for the predetermined offsite network and sample fault data for the predetermined onsite network.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the grid fault handling method of any of claims 1 to 7.
10. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the grid fault handling method of any of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the grid fault handling method of any of claims 1 to 7.
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Application publication date: 20210928 |