CN111126277A - Power failure alarm signal identification method, device, terminal and storage medium - Google Patents
Power failure alarm signal identification method, device, terminal and storage medium Download PDFInfo
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Abstract
The application provides a power failure alarm signal identification method, a device, a terminal and a storage medium, the power failure alarm signal identification method comprises the steps of firstly carrying out primary identification and classification on power failure alarm signals through a failure alarm signal classification model through a two-stage model framework, inputting the power failure alarm signals into a corresponding failure alarm signal identification model according to a classification result to be identified so as to obtain an identification result, and starting to receive the next power failure alarm signal after the current power failure alarm signals are output by the failure alarm signal classification model, so that the parallel processing of the failure alarm signal identification is realized, and the technical problem of low identification efficiency when the existing power failure information identification method faces massive fault information is solved.
Description
Technical Field
The present application relates to the field of power system operation and maintenance technologies, and in particular, to a method, an apparatus, a terminal and a storage medium for identifying a power failure warning signal.
Background
With the increase of the scale of the power grid and the improvement of the automation level of the power grid, the information quantity acquired by the power monitoring system develops towards the direction of mass production, and in the face of the large environment that the acquired information quantity is suddenly increased, the improvement of the information processing efficiency becomes one of the technical problems which must be solved at present.
The existing power failure information identification method generally adopts the steps of constructing a neural network model and inputting acquired data into the neural network model so as to obtain a corresponding identification result, however, the method has the technical problem of low identification efficiency when facing massive failure information.
Disclosure of Invention
The application provides a power failure alarm signal identification method, a device, a terminal and a storage medium, which are used for solving the technical problem that the existing power failure information identification method is low in identification efficiency when facing massive failure information.
In view of the above, a first aspect of the present application provides a power failure warning signal identification method, including:
when a power failure warning signal is received, inputting the power failure warning signal into a failure warning signal classification model to obtain failure classification information corresponding to the power failure warning signal;
according to the fault classification information, determining a target fault alarm signal identification model corresponding to the fault classification information by combining a preset corresponding relation between the fault classification information and a fault alarm signal identification model;
and inputting the power failure alarm signal into the target failure alarm signal identification model for operation so as to obtain an identification result corresponding to the power failure alarm signal.
Optionally, before inputting the power failure warning signal to the target failure warning signal identification model for operation, the method further includes:
and intercepting the power failure alarm signal in a time window intercepting mode so as to input the intercepted power failure alarm signal segment to the target failure alarm signal identification model.
Optionally, the intercepting the power failure warning signal in a time window intercepting manner specifically includes:
the method comprises the steps that a time node receiving a power fault warning signal is taken as a reference time node, and a power fault warning signal before the reference time node is intercepted through a preset first time window to obtain a first power fault warning signal section;
and intercepting the power failure alarm signal after the reference time node through a preset second time window to obtain a second power failure alarm signal section.
Optionally, the fault warning signal classification model is specifically a finite state machine model.
Optionally, the fault warning signal identification models are finite state machine models.
The present application provides in a second aspect a power failure warning signal identification apparatus, comprising:
the classification unit is used for inputting the power failure alarm signal to a failure alarm signal classification model when receiving the power failure alarm signal to obtain the failure classification information corresponding to the power failure alarm signal;
the target identification model determining unit is used for determining a target fault alarm signal identification model corresponding to the fault classification information according to the fault classification information and by combining the preset corresponding relation between the fault classification information and the fault alarm signal identification model;
and the identification unit is used for inputting the power failure alarm signal to the target failure alarm signal identification model for operation so as to obtain an identification result corresponding to the power failure alarm signal.
Optionally, the method further comprises:
and the information intercepting unit is used for intercepting the power failure alarm signal in a time window intercepting mode so as to input the intercepted power failure alarm signal section into the target failure alarm signal identification model.
Optionally, the information intercepting unit specifically includes:
the first intercepting subunit is used for intercepting the power failure alarm signal before the reference time node by taking the time node receiving the power failure alarm signal as the reference time node through a preset first time window to obtain a first power failure alarm signal section;
and the second intercepting subunit is used for intercepting the power failure alarm signal after the reference time node through a preset second time window to obtain a second power failure alarm signal section.
A third aspect of the present application provides a terminal, comprising: a memory and a processor;
the memory is configured to store program code corresponding to the power failure warning signal identification method of the first aspect of the present application;
the processor is configured to execute the program code.
A fourth aspect of the present application provides a storage medium having stored therein program code corresponding to the power failure warning signal identification method according to the first aspect of the present application.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a power failure alarm signal identification method, which comprises the following steps: when a power failure warning signal is received, inputting the power failure warning signal into a failure warning signal classification model to obtain failure classification information corresponding to the power failure warning signal; according to the fault classification information, determining a target fault alarm signal identification model corresponding to the fault classification information by combining a preset corresponding relation between the fault classification information and a fault alarm signal identification model; and inputting the power failure alarm signal into the target failure alarm signal identification model for operation so as to obtain an identification result corresponding to the power failure alarm signal.
According to the method, through a two-stage model framework, the electric power fault alarm signals are preliminarily identified and classified through a fault alarm signal classification model, the electric power fault alarm signals are input into a corresponding fault alarm signal identification model to be identified according to a classification result so as to obtain an identification result, and when the current electric power fault alarm signals are output to the corresponding fault alarm signal identification model through the fault alarm signal classification model, the next electric power fault alarm signal can be received, so that the parallel processing of fault alarm signal identification is realized, and the technical problem that the identification efficiency is low when the existing electric power fault information identification method faces massive fault information is solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
FIG. 1 is a schematic flow chart diagram illustrating a first embodiment of a power failure warning signal identification method according to the present application;
FIG. 2 is a schematic flow chart diagram illustrating a power failure warning signal identification method according to a second embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a first embodiment of a power failure warning signal identification apparatus provided in the present application;
FIG. 4 is a diagram illustrating a relationship between a fault alarm classification model and a fault alarm identification model according to the present application;
FIG. 5 is a schematic diagram of the internal operation of a fault alarm signal identification model;
fig. 6 is a schematic diagram of the working principle of the finite state machine acceptor.
Detailed Description
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the development of artificial intelligence technology, the existing power failure information identification method usually adopts a method of constructing a neural network model to replace the original artificial identification method, and the acquired data is input into the neural network model to obtain a corresponding identification result, however, the identification method adopts a linear circulation method, namely, the current failure alarm signal is received, the input model is subjected to model operation, the result is output, the next group of failure alarm signals is received, the input model is subjected to model operation, and the result is output.
When the massive fault information is faced, the execution period is long, and the recognition efficiency is low.
The application provides a power failure alarm signal identification method, a device, a terminal and a storage medium, which are used for solving the technical problem that the existing power failure information identification method is low in identification efficiency when facing massive failure information.
Referring to fig. 1, 4 and 5, a first embodiment of the present application provides a power failure warning signal identification method, including:
And 102, determining a target fault alarm signal identification model corresponding to the fault classification information according to the fault classification information by combining the preset corresponding relation between the fault classification information and the fault alarm signal identification model.
In this embodiment, a case where both the fault alarm signal classification model and the fault alarm signal identification model adopt finite state machine models is taken as an example to explain the power fault alarm signal identification method provided in the present application.
First, a finite state machine acceptor including five parts of an input set Σ, an internal state set Q, an initial state Q0, a termination state set F, and a state transition function δ will be described. The working principle is shown in figure 6. In the figure, σ i (σ i ∈ Σ) represents the i-th alarm signal in the alarm signal stream, and the controller is configured to control the processing sequence of the input information. The workflow of the finite state machine acceptor is as follows:
1. at the beginning, the initial state of a finite state machine (also called automaton) is q0Start to accept the first piece of information sigma0；
2. Determining whether the received information satisfies state q0The corresponding state transfer function delta, if satisfied, the automaton transfers to another state q according to the state transfer function1(q1E.g. Q), the controller moves to the right and starts to receive and process the next piece of information; otherwise, the state of the automaton remains q0Finally, outputting a corresponding result according to the state finally maintained by the automaton, wherein at the moment, after the input information is processed, the controller moves to the right, and starts to receive and process the next piece of information;
3. by analogy, the automaton only receives one piece of information each time, only judges whether the state transfer function corresponding to the current state is met, and when the last piece of information is processed, the system state is F (F belongs to F).
In this embodiment, the system is in a monitoring state in an initial state, as shown in step 101, when receiving the power failure alarm signal, the system inputs the received power failure alarm signal to a preset fault alarm signal classification model, and performs initial feature identification and classification on the power failure alarm signal by using the fault alarm signal classification model, where the result of classification information includes but is not limited to: accident total signal, 10kV line protection action signal, 35kV line protection action signal and the like.
Then, according to the classification information obtained in step 101, according to the preset fault classification information and fault alarm messageAnd determining a target fault alarm signal identification model corresponding to the fault classification information according to the corresponding relation of the number identification models. It can be understood that the identification method of the present embodiment includes a plurality of fault alarm signal identification models, please refer to fig. 4, and the working cooperation of the "fault alarm signal classification model" and the "fault alarm signal identification model" is shown in fig. 4. In the figure, the fault alarm classification models are shown on the left side, and the multiple fault alarm identification models are shown on the right side M1, M2, M3, and so on. The working process is as follows: accident fault alarm signal identification model M corresponding to accident total signal110kV line fault alarm signal identification model M corresponding to 10kV line protection action signal2Moreover, the specific number of each fault alarm signal identification model may be one or multiple, which is not described herein again.
And finally, inputting the power fault alarm signal into the target fault alarm signal identification model according to the target fault alarm signal identification model determined in the step 102, identifying the power fault alarm signal by the target fault alarm signal identification model, and outputting a corresponding identification result.
More specifically, the working process of the fault alarm signal identification model specifically includes:
taking the 10kV line fault alarm signal identification model (i.e. M2 in fig. 4) as an example, the working flow is shown in fig. 5. Where EOF indicates that the end of the input set is reached and there is no subsequent input information.
The working process is as follows:
1. at the beginning, the automaton is in the initial state q0(suspected of being a 10kV line fault condition), the receiver sequentially accepts the signals in the input set;
2. if the interval switch is received, the automaton is transferred to the state q1(10kV line fault, reclosing state to be judged), and then, starting to execute the step 3; if other signals are received, the automaton maintains state q0And starting to receive the next signal, and continuing to execute the step 2; if the end of the input set has been reached, transition to termination state f1Closing the automaton toThe monitoring system outputs a comprehensive alarm signal: "date and time x station 10kV x line false-fire protection action signal. "wherein," date "and" time "are the date and time when the automaton is closed, and" xx station "and" xx line "are identified from the key alarm signal triggering the son limited receiver;
3. the automaton is in state q1 and the acceptor begins accepting the next signal in the input set;
4. if the automatic machine receives the action signal of the interval reclosing, the automatic machine is transferred to a state q2(10kV line fault, reclosing signal, state of reclosing condition to be judged), and then, starting to execute the step 5; if other signals are received, the automaton maintains state q1And starts to receive the next signal, and continues to execute step 4; if the end of the input set has been reached, transition to termination state f2Closing the automaton, and outputting a comprehensive alarm signal to the monitoring system: the accident of' date time x station 10kV x line tripping, reclosing do not act. ";
5. the automaton is in state q2The acceptor starts accepting the next signal in the input set;
6. if the local interval closing bit signal is received, the automaton is transferred to the state q3(10kV line fault, reclosing action, state of whether reclosing is successful or not is judged), and then, executing the step 7; if other signals are received, the automaton maintains state q2And starts to receive the next signal, and continues to execute step 6; if the end of the input set has been reached, transition to termination state f3Closing the automaton, and outputting a comprehensive alarm signal to the monitoring system: and the accident of' date time x station 10kV x line trip, and the coincidence is unsuccessful. ";
7. the automaton is in state q3The acceptor starts accepting the next signal in the input set;
8. if the interval switch is received, the automaton is transferred to the state q4(10kV line fault, reclosing action unsuccessful state), after that, starting to execute step 9; if other signals are received, the automaton dimensionHold state q3And starts to receive the next signal, and continues to execute step 8; if the end of the input set has been reached, transition to termination state f4Closing the automaton, and outputting a comprehensive alarm signal to the monitoring system: and the accident of' date time x station 10kV x line trip, and the coincidence is successful. ";
9. the automaton is in state q4The acceptor ignores the rest of the input set and transitions to the termination state f3, shutting down the automaton and outputting a synthetic alarm signal to the monitoring system: and the accident of' date time x station 10kV x line trip, and the coincidence is unsuccessful. "
When the time sequence of the alarm information of the monitoring system is consistent with the actual evolution sequence of the power grid faults, the working process is applicable. Considering the situation that the time delays of different alarm signals are not completely the same, and the alarm information time sequence of the monitoring system is inconsistent with the actual evolution sequence of the power grid fault, the above working procedures need to be adjusted: the automaton receives the alarm information sigma i, and if no state transition occurs, the processing process is unchanged; if the state transition occurs, the information is removed from the input set, a new input set is formed again, the current state is maintained, and the receiving and processing are started from the first information of the input set.
According to the embodiment of the application, through a two-stage model framework, the electric power fault alarm signals are firstly preliminarily identified and classified through a fault alarm signal classification model, the electric power fault alarm signals are input to the corresponding fault alarm signal identification model to be identified according to the classification result so as to obtain the identification result, and when the current electric power fault alarm signals are output by the fault alarm signal classification model, the next electric power fault alarm signals can be received, so that the parallel processing of fault alarm signal identification is realized, and the technical problem of low identification efficiency when the existing electric power fault information identification method faces massive fault information is solved.
The above is a detailed description of a first embodiment of a power failure warning signal identification method provided by the present application, and the following is a detailed description of a second embodiment of a power failure warning signal identification method provided by the present application.
Referring to fig. 2, on the basis of the first embodiment of the present application, a method for identifying a power failure warning signal according to a second embodiment of the present application further includes, before step 103:
and step 1021, intercepting the power failure alarm signal in a time window intercepting mode. Considering that the transmission of the power grid signal has a certain time process and that there is a certain delay in sending the alarm information from the fault site to the monitoring system, a time window mechanism is required to process the alarm information stream before the fault alarm signal identification model is started.
More specifically, the time node receiving the power failure warning signal is taken as a reference time node, and the power failure warning signal before the reference time node is intercepted through a preset first time window T1 to obtain a first power failure warning signal section;
and intercepting the power fault alarm signal after the reference time node through a preset second time window T2 to obtain a second power fault alarm signal section.
And intercepting the signal segment within the time from the front T1 to the back T2 of the power fault warning signal according to the obtained combination of the first power fault warning signal segment and the second power fault warning signal segment.
In this embodiment, the setting criteria of the time window parameters T1 and T2 corresponding to the first time window and the second time window are as follows: and counting the time difference between the time of alarm signals related to the fault when the power grid has the fault based on the historical alarm information of the monitoring system, and recording the maximum negative deviation T1 and the maximum positive deviation T2, and setting the maximum negative deviation T1 and the maximum positive deviation T2 as time window parameters.
The above is a detailed description of the second embodiment of the power failure warning signal identification method provided by the present application, and the following is a detailed description of the first embodiment of the power failure warning signal identification apparatus provided by the present application.
Referring to fig. 3, a third embodiment of the present application provides a power failure warning signal identification apparatus, including:
the classification unit 301 is configured to, when receiving a power failure alarm signal, input the power failure alarm signal to a failure alarm signal classification model to obtain failure classification information corresponding to the power failure alarm signal;
a target identification model determining unit 302, configured to determine, according to the fault classification information, a target fault alarm signal identification model corresponding to the fault classification information in combination with a preset correspondence between the fault classification information and the fault alarm signal identification model;
the identifying unit 303 is configured to input the power failure warning signal to the target failure warning signal identifying model for operation, so as to obtain an identifying result corresponding to the power failure warning signal.
Further, the method also comprises the following steps:
and the information intercepting unit 304 is configured to intercept the power failure alarm signal in a time window intercepting manner, so as to input the intercepted power failure alarm signal segment to the target failure alarm signal identification model.
More specifically, the information intercepting unit specifically includes:
the first intercepting subunit is used for intercepting the power failure alarm signal before the reference time node by taking the time node receiving the power failure alarm signal as the reference time node through a preset first time window to obtain a first power failure alarm signal section;
and the second intercepting subunit is used for intercepting the power failure alarm signal after the reference time node through a preset second time window to obtain a second power failure alarm signal section.
The above is a detailed description of a second embodiment of a power failure warning signal identification apparatus provided in the present application, and the following is a detailed description of embodiments of a terminal and a storage medium provided in the present application.
A fourth embodiment of the present application provides a terminal, including: a memory and a processor;
the memory is used for storing program codes corresponding to the power failure warning signal identification method of the first aspect of the application;
the processor is used for executing the program codes.
A fifth embodiment of the present application provides a storage medium having stored therein program code corresponding to the power failure warning signal identification method of the first aspect of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, 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, devices or units, and may be in an electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
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 network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the 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 removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A power failure warning signal identification method, comprising:
when a power failure warning signal is received, inputting the power failure warning signal into a failure warning signal classification model to obtain failure classification information corresponding to the power failure warning signal;
according to the fault classification information, determining a target fault alarm signal identification model corresponding to the fault classification information by combining a preset corresponding relation between the fault classification information and a fault alarm signal identification model;
and inputting the power failure alarm signal into the target failure alarm signal identification model for operation so as to obtain an identification result corresponding to the power failure alarm signal.
2. The power failure warning signal identification method according to claim 1, wherein before inputting the power failure warning signal to the target failure warning signal identification model for operation, further comprising:
and intercepting the power failure alarm signal in a time window intercepting mode so as to input the intercepted power failure alarm signal segment to the target failure alarm signal identification model.
3. The method according to claim 2, wherein the intercepting the power failure warning signal by a time window intercepting manner specifically comprises:
the method comprises the steps that a time node receiving a power fault warning signal is taken as a reference time node, and a power fault warning signal before the reference time node is intercepted through a preset first time window to obtain a first power fault warning signal section;
and intercepting the power failure alarm signal after the reference time node through a preset second time window to obtain a second power failure alarm signal section.
4. The power failure warning signal identification method according to claim 1, characterized in that the failure warning signal classification model is a finite state machine model.
5. The power failure alarm signal identification method of claim 1, wherein the fault alarm signal identification models are finite state machine models.
6. A power failure warning signal identification apparatus, comprising:
the classification unit is used for inputting the power failure alarm signal to a failure alarm signal classification model when receiving the power failure alarm signal to obtain the failure classification information corresponding to the power failure alarm signal;
the target identification model determining unit is used for determining a target fault alarm signal identification model corresponding to the fault classification information according to the fault classification information and by combining the preset corresponding relation between the fault classification information and the fault alarm signal identification model;
and the identification unit is used for inputting the power failure alarm signal to the target failure alarm signal identification model for operation so as to obtain an identification result corresponding to the power failure alarm signal.
7. The power failure alarm signal identifying device of claim 6, further comprising:
and the information intercepting unit is used for intercepting the power failure alarm signal in a time window intercepting mode so as to input the intercepted power failure alarm signal section into the target failure alarm signal identification model.
8. The power failure warning signal identification device according to claim 7, wherein the information intercepting unit specifically includes:
the first intercepting subunit is used for intercepting the power failure alarm signal before the reference time node by taking the time node receiving the power failure alarm signal as the reference time node through a preset first time window to obtain a first power failure alarm signal section;
and the second intercepting subunit is used for intercepting the power failure alarm signal after the reference time node through a preset second time window to obtain a second power failure alarm signal section.
9. A terminal, comprising: a memory and a processor;
the memory is used for storing program codes corresponding to the power failure warning signal identification method of any one of claims 1 to 5;
the processor is configured to execute the program code.
10. A storage medium having stored therein program code corresponding to the power failure warning signal identification method according to any one of claims 1 to 5.
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Address after: Room 501-503, annex building, Huaye building, No.1-3 Chuimao new street, Xihua Road, Yuexiu District, Guangzhou City, Guangdong Province 510000 Applicant after: China Southern Power Grid Power Technology Co.,Ltd. Address before: Room 501-503, annex building, Huaye building, No.1-3 Chuimao new street, Xihua Road, Yuexiu District, Guangzhou City, Guangdong Province 510000 Applicant before: GUANGDONG ELECTRIC POWER SCIENCE RESEARCH INSTITUTE ENERGY TECHNOLOGY Co.,Ltd. |
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