CN112881789A - Overvoltage signal identification method, device, medium and vehicle - Google Patents
Overvoltage signal identification method, device, medium and vehicle Download PDFInfo
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- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16576—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing DC or AC voltage with one threshold
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Abstract
The application discloses an overvoltage signal identification method, an overvoltage signal identification device and an overvoltage signal identification medium. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved. In addition, the application discloses an overvoltage signal identification device and medium, which correspond to the overvoltage signal identification method and have the same effects.
Description
Technical Field
The present disclosure relates to signal identification technologies, and in particular, to an overvoltage signal identification method, apparatus, medium, and vehicle.
Background
With the development of science and technology, railways have become an important part of long-distance transportation and are also an essential part of human life. With the rapid development of electrified railways, the problem of overvoltage in a traction power supply system influences the stable operation of the railway system.
The existing overvoltage online monitoring device of the traction power supply system can only detect overvoltage and cannot analyze the type of an overvoltage signal, so that the type of overvoltage of a motor train unit cannot be accurately and timely judged, and the overvoltage fault processing is lack of pertinence.
Therefore, how to improve the pertinence and accuracy of fault handling is an urgent problem to be solved by those skilled in the art.
Disclosure of Invention
The purpose of the application is to provide an overvoltage signal identification method, which is used for improving the pertinence and the accuracy of overvoltage treatment. The application aims at further providing an overvoltage signal identification device, a medium and a vehicle.
In order to solve the above technical problem, the present application provides an overvoltage signal identification method, including:
acquiring a target voltage signal;
identifying whether the target voltage signal is an overvoltage signal;
if yes, extracting characteristic data of the target voltage signal;
and determining the type of the target voltage signal according to the characteristic data.
Preferably, the identification of whether the target voltage signal is an overvoltage signal is specifically performed through db wavelet transform;
then, the identifying whether the target voltage signal is an overvoltage signal specifically includes:
obtaining approximate signals and detail signals of each layer according to the db wavelet transform result;
respectively calculating the energy of the approximate signal and the energy of the detail signals of each layer;
calculating a first energy ratio based on the energy of the approximation signal and the energy of all the detail signals;
calculating a second energy ratio according to the energy of the fifth layer detail signal, the energy of the sixth layer detail signal and the energy of all the detail signals;
and determining the target voltage signal as the overvoltage signal under the condition that the first energy ratio is not greater than a first preset threshold value and the second energy ratio is not less than a second preset threshold value.
Preferably, the feature data includes: a duration of the target voltage signal.
Preferably, the determining the type of the target voltage signal according to the characteristic data specifically includes:
determining the target voltage signal to be a lightning overvoltage signal if the duration is between a first threshold and a second threshold;
determining the target voltage signal as an operational overvoltage signal if the duration is between a second threshold and a third threshold;
determining the target voltage signal as a resonant overvoltage signal if the duration is between a fourth threshold and a fifth threshold;
wherein the first threshold is less than the second threshold, the second threshold is less than the third threshold, the third threshold is less than the fourth threshold, and the fourth threshold is less than the fifth threshold.
Preferably, the feature data further includes: an amplitude of the target voltage signal and a current of the target voltage signal.
Preferably, after determining that the target voltage signal is a lightning overvoltage signal, the method further includes:
determining the target voltage signal as an induced lightning overvoltage signal under the condition that the amplitude is between a sixth threshold and a seventh threshold;
under the condition that the amplitude is at an eighth threshold and a ninth threshold, determining that the target voltage signal is a direct lightning overvoltage signal;
wherein the sixth threshold is less than the seventh threshold, the seventh threshold is less than the eighth threshold, and the eighth threshold is less than the ninth threshold;
preferably, after determining that the target voltage signal is an operation overvoltage signal, the method further includes:
determining the target voltage signal as a pantograph overvoltage signal if the current is not greater than a tenth threshold;
determining the target voltage signal as an opening and closing gate overvoltage signal under the condition that the current is not less than an eleventh threshold value;
wherein the tenth threshold is less than the eleventh threshold.
Preferably, the db wavelet transform is specifically: and carrying out db4 wavelet 6-layer decomposition on the target voltage signal.
In order to solve the above technical problem, the present application further provides an overvoltage signal identification device, including:
the first acquisition module is used for acquiring a target voltage signal;
the identification module is used for identifying whether the target voltage signal is an overvoltage signal;
the extraction module is used for extracting the characteristic data of the target voltage signal if the target voltage signal is the same as the target voltage signal;
and the first determining module is used for determining the type of the target voltage signal according to the characteristic data.
In order to solve the above technical problem, the present application further provides an overvoltage signal identification device, including:
a memory for storing a computer program;
a processor for implementing the steps of the overvoltage signal identification method as described above when executing the computer program.
In order to solve the above technical problem, the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the overvoltage signal identification method as described above.
In order to solve the technical problem, the present application further provides a vehicle including the overvoltage signal identification device as described above.
The overvoltage signal identification method obtains a target voltage signal, extracts characteristic data of the target voltage signal under the condition that the target voltage signal is the overvoltage signal, and determines the type of the target voltage signal according to the characteristic data. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved.
In addition, the overvoltage signal identification device, the medium and the vehicle provided by the application correspond to the overvoltage signal identification method, and the effect is the same.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a flowchart of an overvoltage signal identification method according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating a method for identifying whether a target voltage signal is an overvoltage signal according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an overvoltage signal identification device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of another overvoltage signal identification device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
The core of the application is to provide an overvoltage signal identification method for improving the pertinence and the accuracy of overvoltage processing. The core of the application is that an overvoltage signal identification device, a medium and a vehicle are also provided.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings.
Fig. 1 is a flowchart of an overvoltage signal identification method according to an embodiment of the present disclosure. As shown in fig. 1, the method includes:
s10: and acquiring a target voltage signal.
S11: and identifying whether the target voltage signal is an overvoltage signal, if so, entering S12, and if not, ending.
In the embodiment of the present application, whether the target voltage signal is the overvoltage signal is specifically identified by binary wavelet (db) transformation.
In order to make the skilled person better understand the process of identifying whether the target voltage signal is an overvoltage signal, the following description will be made in detail with reference to the flowchart:
fig. 2 is a flowchart for identifying whether a target voltage signal is an overvoltage signal according to an embodiment of the present disclosure. As shown in fig. 2, S11 specifically includes:
s20: and acquiring an approximate signal and detail signals of each layer according to the db wavelet transform result.
S21: and respectively calculating the energy of the approximate signal and the detail signal of each layer.
S22: a first energy ratio is calculated based on the energy of the approximation signal and the energy of all detail signals.
S23: a second energy ratio is calculated from the energy of the fifth layer detail signal, the energy of the sixth layer detail signal and the energy of all detail signals.
S24: and under the condition that the first energy ratio is not greater than a first preset threshold value and the second energy ratio is not less than a second preset threshold value, determining the target voltage signal as the overvoltage signal.
It should be noted that the formula for calculating the energy of the approximation signal is as follows:
wherein, a (j) is the sampling value of the j point of the approximate signal, and N is the number of the sampling points.
The formula for calculating the energy of each layer detail signal is as follows:
wherein d isi(j) And N is the number of sampling points for the jth point of the ith layer detail signal.
The formula for calculating the first energy ratio from the energy of the approximation signal and the energy of all detail signals is as follows:
wherein E is0To approximate the energy of the signal, EiThe energy of each layer detail signal.
The formula for calculating the second energy ratio from the energy of the fifth layer detail signal, the energy of the sixth layer detail signal and the energy of all detail signals is as follows:
wherein E is5Energy of fifth layer signal, E6Is the energy of the detail signal of the sixth layer.
Further, in order to reduce the workload of calculating the energy of each layer of detail signal, thereby increasing the speed of identifying the type of the overvoltage signal, as a preferred embodiment, the db wavelet transform is specifically: the target voltage signal is subjected to a db4 wavelet (binary wavelet of length 4, Daubechies4) 6-layer decomposition.
It will be appreciated that if a db4 wavelet 6-layer decomposition is performed on the target voltage signal to obtain six layers of detail signals, i is 1,2, …,6 in the above formula for calculating the energy of each new street signal.
It should be further noted that there is no size relationship between the first preset threshold and the second preset threshold, and the specific values of the two are not specifically limited, and may be matched with the user requirements.
S12: and extracting characteristic data of the target voltage signal.
In an embodiment of the application, the characteristic data comprises a duration of the target voltage signal.
S13: the type of the target voltage signal is determined from the characteristic data.
In the case where the characteristic data includes the duration of the target voltage signal, S13 is specifically:
in the case that the duration is between the first threshold and the second threshold, the target voltage signal is determined to be a lightning overvoltage signal.
In the case where the duration is between the second threshold and the third threshold, the target voltage signal is determined to be an operation overvoltage signal.
In the case where the duration is between the fourth threshold and the fifth threshold, the target voltage signal is determined to be a resonant overvoltage signal.
The first threshold is smaller than the second threshold, the second threshold is smaller than the third threshold, the third threshold is smaller than the fourth threshold, and the fourth threshold is smaller than the fifth threshold. In addition, the units of the first threshold, the second threshold, and the third threshold are in the order of microseconds, and the units of the fourth threshold and the fifth threshold are in the order of milliseconds.
It should be noted that, the necessary conditions for the lightning overvoltage signal are: the waveform approximates a flat-top wave. Therefore, in a specific implementation, in order to ensure the accuracy of the lightning overvoltage signal judgment, as a preferred embodiment, the characteristic data further includes the waveform of the target voltage signal.
Then, in the case that the duration is between the first threshold and the second threshold, determining that the target voltage signal is the lightning overvoltage signal specifically includes:
in a case where the duration is between the first threshold value and the second threshold value and the waveform is approximately a flat-top wave, the target voltage signal is determined to be a lightning overvoltage signal.
The overvoltage signal identification method provided by the embodiment of the application obtains the target voltage signal, extracts the characteristic data of the target voltage signal under the condition that the target voltage signal is the overvoltage signal, and determines the type of the target voltage signal according to the characteristic data. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved.
On the basis of the above embodiment, the feature data further includes: the amplitude of the target voltage signal and the current of the target voltage signal.
Then, after determining that the target voltage signal is the lightning overvoltage signal, the method further includes:
and under the condition that the amplitude is between a sixth threshold value and a seventh threshold value, determining the target voltage signal as an inductive lightning voltage signal.
And under the condition that the amplitude is at the eighth threshold value and the ninth threshold value, determining that the target voltage signal is a direct lightning overvoltage signal.
The direct lightning overvoltage refers to overvoltage generated on a high-voltage system and a train body of the motor train unit after a lightning strikes a strut or a contact net/catenary, and the induced lightning overvoltage refers to overvoltage caused by lightning striking on the ground of a railway line or near a building and due to electromagnetic induction.
In addition, after determining that the target voltage signal is the operation overvoltage signal, the method further comprises the following steps:
and in the case that the current is not greater than the tenth threshold value, determining the target voltage signal as a pantograph overvoltage signal.
And under the condition that the current is not less than the eleventh threshold value, determining the target voltage signal as an opening and closing gate overvoltage signal.
The sixth threshold is smaller than the seventh threshold, the seventh threshold is smaller than the eighth threshold, the eighth threshold is smaller than the ninth threshold, and the tenth threshold is smaller than the eleventh threshold. It should be further noted that the units of the sixth threshold, the seventh threshold, the eighth threshold, and the ninth threshold are in the order of ten kilovolts, and the units of the tenth threshold and the eleventh threshold are in the order of milliamps.
It can be understood that the values of the sixth threshold, the seventh threshold, the eighth threshold, the ninth threshold, the tenth threshold and the eleventh threshold are not specifically limited, and may be matched with the user requirements.
According to the overvoltage signal identification method provided by the embodiment of the application, the characteristic data further comprises the amplitude of the target voltage signal and the current of the target voltage signal, so that the lightning overvoltage signal can be refined into a direct lightning overvoltage signal and an inductive lightning overvoltage signal according to the amplitude and the current, the operation overvoltage signal is refined into a lifting bow overvoltage signal and an opening and closing gate overvoltage signal, the type of the overvoltage signal is further identified, and the pertinence and the accuracy of overvoltage processing are improved.
In the above embodiments, the overvoltage signal identification method is described in detail, and the present application also provides corresponding embodiments of the overvoltage signal identification device. It should be noted that the present application describes the embodiments of the apparatus portion from two perspectives, one from the perspective of the function module and the other from the perspective of the hardware.
Fig. 3 is a schematic structural diagram of an overvoltage signal identification device according to an embodiment of the present application. As shown in fig. 3, the apparatus includes, based on the angle of the function module:
the first obtaining module 10 is configured to obtain a target voltage signal.
And the identification module 11 is used for identifying whether the target voltage signal is an overvoltage signal.
And the extraction module 12 is used for extracting the characteristic data of the target voltage signal if the target voltage signal is positive.
A first determining module 13, configured to determine a type of the target voltage signal according to the characteristic data.
Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated here.
As a preferred embodiment, the identification module 11 specifically includes:
and the second acquisition module is used for acquiring the approximate signal and each layer of detail signal according to the target voltage signal.
And the first calculation module is used for calculating the energy of the approximate signal and the detail signals of each layer respectively.
And the second calculation module is used for calculating the first energy ratio according to the energy of the approximate signal and the energy of all the detail signals.
And the third calculating module is used for calculating a second energy ratio according to the energy of the fifth layer detail signal, the energy of the sixth layer detail signal and the energy of all the detail signals.
And the second determining module is used for determining the target voltage signal as the overvoltage signal under the condition that the first energy ratio is not greater than the first preset threshold and the second energy ratio is not less than the second preset threshold.
The first determination module 13 includes:
and the third determining module is used for determining that the target voltage signal is the lightning overvoltage signal under the condition that the duration is between the first threshold and the second threshold.
And the fourth determination module is used for determining the target voltage signal as the operation overvoltage signal under the condition that the duration is between the second threshold and the third threshold.
And the fifth determining module is used for determining the target voltage signal as the resonant overvoltage signal under the condition that the duration is between the fourth threshold and the fifth threshold.
The first determination module 13 further includes:
and the sixth determining module is used for determining the target voltage signal as the inductive lightning overvoltage signal under the condition that the amplitude is between the sixth threshold and the seventh threshold.
And the seventh determining module is used for determining the target voltage signal as a direct lightning overvoltage signal under the condition that the amplitude is at the eighth threshold and the ninth threshold.
And the eighth determining module is used for determining the target voltage signal as the pantograph overvoltage signal under the condition that the current is not greater than the tenth threshold value.
And the ninth determining module is used for determining the target voltage signal as an opening and closing gate overvoltage signal under the condition that the current is not less than the eleventh threshold.
The second obtaining module specifically includes:
and the third acquisition module is used for performing db4 wavelet 6-layer decomposition on the target voltage signal to obtain an approximate signal and detail signals of each layer.
The overvoltage signal identification device provided by the embodiment of the application acquires a target voltage signal, extracts the characteristic data of the target voltage signal under the condition that the target voltage signal is the overvoltage signal, and determines the type of the target voltage signal according to the characteristic data. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved.
Fig. 4 is a schematic structural diagram of another overvoltage signal identification device according to an embodiment of the present application.
As shown in fig. 4, the apparatus includes, from the perspective of the hardware configuration:
a memory 20 for storing a computer program;
a processor 21 for implementing the steps of the overvoltage signal identification method as in the above embodiments when executing the computer program.
The processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 21 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a Graphics Processing Unit (GPU) which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 21 may further include an Artificial Intelligence (AI) processor for processing computational operations related to machine learning.
The memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing the following computer program 201, wherein after the computer program 201 is loaded and executed by the processor 21, the relevant steps of the overvoltage signal identification method disclosed in any one of the foregoing embodiments can be implemented. In addition, the resources stored in the memory 20 may also include an operating system 202, data 203, and the like, and the storage manner may be a transient storage manner or a permanent storage manner. Operating system 202 may include, among others, Windows, Unix, Linux, and the like. Data 203 may include, but is not limited to, data involved in over-voltage signal identification methods, and the like.
In some embodiments, the overvoltage signal identification device may further include a display 22, an input/output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.
It will be appreciated by those skilled in the art that the configuration shown in fig. 4 does not constitute a limitation of the overvoltage signal identification means and may include more or fewer components than those shown.
The overvoltage signal identification device provided by the embodiment of the application comprises a memory and a processor, wherein when the processor executes a program stored in the memory, the following method can be realized: and acquiring a target voltage signal, extracting characteristic data of the target voltage signal under the condition that the target voltage signal is an overvoltage signal, and determining the type of the target voltage signal according to the characteristic data. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved.
The application provides a corresponding embodiment of a computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps as set forth in the above-mentioned method embodiments.
It is to be understood that if the method in the above embodiments is implemented in the form of software functional units and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods described in the embodiments of the present application, or all or part of the technical solutions. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The computer readable storage medium provided by the embodiment of the application, the medium is stored with a computer program, and when the computer program is executed by a processor, the following method can be realized: and acquiring a target voltage signal, extracting characteristic data of the target voltage signal under the condition that the target voltage signal is an overvoltage signal, and determining the type of the target voltage signal according to the characteristic data. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved.
Finally, the application also provides a vehicle comprising the overvoltage signal identification device mentioned in the above embodiment.
Since the overvoltage signal identification device is described in detail above, the present embodiment is not described in detail.
The vehicle provided by the embodiment of the application comprises an overvoltage signal identification device, and the overvoltage signal identification device can realize the following method: and acquiring a target voltage signal, extracting characteristic data of the target voltage signal under the condition that the target voltage signal is an overvoltage signal, and determining the type of the target voltage signal according to the characteristic data. After the target voltage signal is detected to be the overvoltage signal, the overvoltage type of the target voltage signal is judged according to the characteristic data of the target voltage signal, so that the overvoltage can be processed in a targeted manner during subsequent fault processing, and the pertinence and the accuracy of the overvoltage processing are improved.
The overvoltage signal identification method, the overvoltage signal identification device, the overvoltage signal identification medium and the vehicle are described in detail above. The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (11)
1. An overvoltage signal identification method, comprising:
acquiring a target voltage signal;
identifying whether the target voltage signal is an overvoltage signal;
if yes, extracting characteristic data of the target voltage signal;
and determining the type of the target voltage signal according to the characteristic data.
2. The overvoltage signal identification method according to claim 1, wherein the identifying whether the target voltage signal is an overvoltage signal is specifically identified by db wavelet transform;
then, the identifying whether the target voltage signal is an overvoltage signal specifically includes:
obtaining approximate signals and detail signals of each layer according to the db wavelet transform result;
respectively calculating the energy of the approximate signal and the energy of the detail signals of each layer;
calculating a first energy ratio based on the energy of the approximation signal and the energy of all the detail signals;
calculating a second energy ratio according to the energy of the fifth layer detail signal, the energy of the sixth layer detail signal and the energy of all the detail signals;
and determining the target voltage signal as the overvoltage signal under the condition that the first energy ratio is not greater than a first preset threshold value and the second energy ratio is not less than a second preset threshold value.
3. The overvoltage signal identification method of claim 1, wherein the characterization data comprises: a duration of the target voltage signal.
4. The overvoltage signal identification method according to claim 3, wherein the determining the type of the target voltage signal according to the characteristic data specifically comprises:
determining the target voltage signal to be a lightning overvoltage signal if the duration is between a first threshold and a second threshold;
determining the target voltage signal as an operational overvoltage signal if the duration is between a second threshold and a third threshold;
determining the target voltage signal as a resonant overvoltage signal if the duration is between a fourth threshold and a fifth threshold;
wherein the first threshold is less than the second threshold, the second threshold is less than the third threshold, the third threshold is less than the fourth threshold, and the fourth threshold is less than the fifth threshold.
5. The overvoltage signal identification method of claim 4, wherein the characterization data further comprises: an amplitude of the target voltage signal and a current of the target voltage signal.
6. The overvoltage signal identification method according to claim 5, wherein after determining that the target voltage signal is a lightning overvoltage signal, the method further comprises:
determining the target voltage signal as an induced lightning overvoltage signal under the condition that the amplitude is between a sixth threshold and a seventh threshold;
under the condition that the amplitude is at an eighth threshold and a ninth threshold, determining that the target voltage signal is a direct lightning overvoltage signal;
wherein the sixth threshold is less than the seventh threshold, the seventh threshold is less than the eighth threshold, and the eighth threshold is less than the ninth threshold;
after the target voltage signal is determined to be the operation overvoltage signal, the method further comprises the following steps:
determining the target voltage signal as a pantograph overvoltage signal if the current is not greater than a tenth threshold;
determining the target voltage signal as an opening and closing gate overvoltage signal under the condition that the current is not less than an eleventh threshold value;
wherein the tenth threshold is less than the eleventh threshold.
7. The overvoltage signal identification method according to claim 2, wherein the db wavelet transform is specifically:
and carrying out db4 wavelet 6-layer decomposition on the target voltage signal.
8. An overvoltage signal identification device, characterized in that the device comprises:
the first acquisition module is used for acquiring a target voltage signal;
the identification module is used for identifying whether the target voltage signal is an overvoltage signal;
the extraction module is used for extracting the characteristic data of the target voltage signal if the target voltage signal is the same as the target voltage signal;
and the first determining module is used for determining the type of the target voltage signal according to the characteristic data.
9. An overvoltage signal identification device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the overvoltage signal identification method of any one of claims 1 to 7 when executing said computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the overvoltage signal identification method according to one of claims 1 to 7.
11. A vehicle characterized by comprising the overvoltage signal recognition device as claimed in claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110377183.9A CN112881789B (en) | 2021-04-08 | 2021-04-08 | Overvoltage signal identification method, device, medium and vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110377183.9A CN112881789B (en) | 2021-04-08 | 2021-04-08 | Overvoltage signal identification method, device, medium and vehicle |
Publications (2)
| Publication Number | Publication Date |
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| CN112881789A true CN112881789A (en) | 2021-06-01 |
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