CN113654652A - Fault identification method for direct current control protection device and related device - Google Patents
Fault identification method for direct current control protection device and related device Download PDFInfo
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Abstract
The application discloses a fault identification method for a direct current control protection device and a related device, wherein the method comprises the following steps: acquiring an equipment environment voiceprint signal when the direct current protection device operates, and denoising and enhancing the equipment environment voiceprint signal to obtain a body voiceprint preliminary characteristic signal of the direct current protection device; compensating the initial characteristic signal of the vocal print of the body through wavelet transformation to obtain a characteristic signal of the vocal print of the body; acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the direct current protection device; and establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault. Therefore, the technical problems that the fault identification accuracy is poor and the misjudgment condition is easy to occur in the prior art are solved.
Description
Technical Field
The present application relates to the field of power technologies, and in particular, to a method for identifying a fault of a dc protection device and a related device.
Background
The application of the power electronic technology brings a deep revolution to a power grid, the high-voltage direct-current technology enables high-voltage large-capacity long-distance clean electric energy transmission to be possible at the level of a high-voltage transmission network, the flexible direct-current technology can realize flexible interconnection of a power distribution network at the level of the power distribution network, multi-feeder closed-loop operation is realized, flexible scheduling and control of the power distribution network are supported, and important means is provided for flexible access of distributed new energy resources, energy storage, electric vehicles and the like. The direct current protection device is a brain supporting the safe, stable and flexible operation of the direct current distribution network, and can not be used for protecting various types of key power electronic primary equipment when various advanced control technologies are implemented on the ground in the direct current distribution network. At the present stage, the direct current power distribution is in a small-scale trial application stage, various novel direct current control protection devices lack long-time operation iteration, and the operation reliability lacks mature guarantee measures.
The voiceprint is a sound wave signal formed by continuous mechanical vibration generated by equipment in operation and radiating the continuous mechanical vibration to the outside through air, contains the state information of the equipment in operation, and is another important fault monitoring and identifying mode in the electrical field besides modes of vibration, ultrasonic waves, infrared rays and the like. At present, researches on voiceprint recognition of electrical faults mainly focus on feature extraction and recognition algorithms, and the mainly monitored objects are primary equipment with obvious voiceprint features such as transformers and motors, and for secondary equipment of direct current protection devices, due to obvious environmental noise, recognition accuracy is poor; meanwhile, fault identification is carried out only on the basis of voiceprint feature detection, so that the limitation is large, and the situation of misjudgment in normal operation or failure situation is easy to occur.
Disclosure of Invention
The application provides a fault identification method and a related device for a direct current control protection device, which are used for solving the technical problems that the fault identification accuracy is poor and the misjudgment condition is easy to occur in the prior art.
In view of this, a first aspect of the present application provides a method for identifying a fault of a dc protection device, where the method includes:
acquiring an equipment environment voiceprint signal when a direct current protection device operates, and denoising and enhancing the equipment environment voiceprint signal to obtain a body voiceprint preliminary characteristic signal of the direct current protection device;
compensating the initial vocal print characteristic signal of the body through wavelet transformation to obtain a vocal print characteristic signal of the body;
acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the direct current protection device;
and establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault.
Optionally, the obtaining an apparatus environment voiceprint signal during the operation of the direct current protection apparatus, and denoising and enhancing the apparatus environment voiceprint signal to obtain a preliminary voiceprint characteristic signal of a body of the direct current protection apparatus specifically include:
acquiring an equipment environment voiceprint signal when the direct current protection device operates, and carrying out Fourier decomposition on the equipment environment voiceprint signal to obtain a first characteristic frequency, wherein the equipment environment voiceprint signal consists of: the body voiceprint, the peripheral equipment voiceprint and the noise voiceprint of the direct current protection device are overlapped;
acquiring the voiceprint of the peripheral equipment when the direct current protection device does not operate, and performing Fourier decomposition on the voiceprint of the peripheral equipment to obtain a second characteristic frequency;
and eliminating the second characteristic frequency in the first characteristic frequency to obtain a third characteristic frequency of the direct current protection device.
Optionally, the compensating the preliminary vocal print characteristic signal of the body through wavelet transform to obtain a vocal print characteristic signal of the body specifically includes:
respectively performing inverse Fourier transform on the second characteristic frequency and the third characteristic frequency to obtain a body voiceprint signal value and a peripheral equipment voiceprint signal value;
and calculating to obtain a noise voiceprint signal value according to the body voiceprint signal value and the voiceprint signal values of surrounding equipment, and performing wavelet transformation on the noise voiceprint signal value to obtain the body voiceprint characteristic signal.
Optionally, the acquiring an upper envelope and a lower envelope of the dc protection device specifically includes:
and acquiring equipment energy consumption information of the direct current protection device in various operation modes, and generating the upper envelope line and the lower envelope line according to the equipment energy consumption information.
Optionally, the device energy consumption deviation level calculation formula is:
in the formula, Cup(t) is the upper envelope, Cdown(t) is the lower envelope, Cop(t) the real-time operation energy consumption of the direct current protection device, wherein delta C is the deviation level of the energy consumption of the equipment.
In a second aspect, the present application provides a dc protection device fault identification method, where the system includes:
the denoising unit is used for acquiring an equipment environment voiceprint signal when the direct current protection device operates, denoising and enhancing the equipment environment voiceprint signal, and acquiring a body voiceprint preliminary characteristic signal of the direct current protection device;
the compensation unit is used for compensating the initial vocal print characteristic signal of the body through wavelet transformation to obtain a vocal print characteristic signal of the body;
the calculation unit is used for acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the direct current protection device;
and the matching unit is used for establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct current protection device has a fault.
Optionally, the denoising unit is specifically configured to:
acquiring an equipment environment voiceprint signal when the direct current protection device operates, and carrying out Fourier decomposition on the equipment environment voiceprint signal to obtain a first characteristic frequency, wherein the equipment environment voiceprint signal consists of: the body voiceprint, the peripheral equipment voiceprint and the noise voiceprint of the direct current protection device are overlapped;
acquiring the voiceprint of the peripheral equipment when the direct current protection device does not operate, and performing Fourier decomposition on the voiceprint of the peripheral equipment to obtain a second characteristic frequency;
and eliminating the second characteristic frequency in the first characteristic frequency to obtain a third characteristic frequency of the direct current protection device.
Optionally, the compensation unit is specifically configured to:
respectively performing inverse Fourier transform on the second characteristic frequency and the third characteristic frequency to obtain a body voiceprint signal value and a peripheral equipment voiceprint signal value;
and calculating to obtain a noise voiceprint signal value according to the body voiceprint signal value and the voiceprint signal values of surrounding equipment, and performing wavelet transformation on the noise voiceprint signal value to obtain the body voiceprint characteristic signal.
A third aspect of the present application provides a dc protection device fault recognition apparatus, including a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the dc protection device fault identification method according to the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium for storing a program code, where the program code is configured to execute the dc link fault identification method according to the first aspect.
According to the technical scheme, the method has the following advantages:
the application provides a fault identification method for a direct current control protection device, which comprises the following steps: acquiring an equipment environment voiceprint signal when the direct current protection device operates, and denoising and enhancing the equipment environment voiceprint signal to obtain a body voiceprint preliminary characteristic signal of the direct current protection device; compensating the initial characteristic signal of the vocal print of the body through wavelet transformation to obtain a characteristic signal of the vocal print of the body; acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the direct current protection device; and establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault.
According to the fault identification method for the direct current control protection device, aiming at the problems that the operation and maintenance technology is immature and the voiceprint characteristics are not obvious when the direct current control protection device detects the current stage, firstly, the voiceprint signals are denoised and enhanced; then compensating the voiceprint signal of the direct current protection device through wavelet transformation, thereby further improving the voiceprint recognition accuracy; then, fusing equipment energy consumption information to construct a feature library; and finally, matching a corresponding fault type based on the feature library when the direct current protection device has a fault. The direct current protection device fault identification method fusing the voiceprint features and the equipment energy consumption can remarkably improve the fault identification accuracy of the direct current protection device, can support preventive maintenance work of the direct current protection device, prevents serious consequences caused by further deterioration of small faults of the direct current protection device, and guarantees safe and reliable operation of a direct current power distribution network. Therefore, the technical problems that the fault identification accuracy is poor and the misjudgment condition is easy to occur in the prior art are solved.
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Fig. 1 is a schematic flowchart of a first embodiment of a method for identifying a fault of a dc protection device according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a second embodiment of a method for identifying a fault of a dc protection device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an embodiment of a fault identification system of a dc protection device provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, 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 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.
Referring to fig. 1, a method for identifying a fault of a dc protection device according to an embodiment of the present application includes:
It should be noted that, in this embodiment, first, an apparatus environment voiceprint signal near the time when the direct current protection apparatus operates is collected; the device environment voiceprint signal is mainly formed by superposition of the tested device (direct current protection device) body voiceprint, the surrounding voiceprints of other devices and noise signals in the sampling, coding, transmitting and decoding processes, so the device environment voiceprint signal fΣCan be characterized as:
fΣ＝fd+fe+fn；
wherein f isdFor the direct current control and protection device body voiceprint signal, feFor the voiceprint signals of other surrounding devices, fnIs a noisy voiceprint signal.
Then, for the device environment voiceprint signal fΣPerforming Fourier decomposition to obtain f from low frequency to high frequency with 50Hz as fundamental frequencyΣSeries of frequency amplitudes A1，A2，A3…An. The following relationships exist:
wherein i 1.
Because the noise frequency is generally higher, the real voiceprint signal frequency is relatively lower, the truncation frequency n of Fourier decomposition is selected according to the voiceprint signal frequency range of actual equipment, and high-frequency noise filtering can be realized through frequency truncation of Fourier decomposition.
And then, extracting the peripheral vocal print signal characteristics of the DC protection device equipment to realize the enhancement of the denoised signal.
Specifically, the data of the embodiment is obtained from the environmental noise f monitored during the maintenance period of the dc protection device when the dc protection device is out of operation (i.e. the dc protection device is not in operation)eTo f foreFourier decomposition is performed to obtain the voiceprint characteristic frequency of the surrounding environment, which is necessarily included in fΣIn the characteristic frequency of (1), here for feThe voiceprint signal f of the body of the direct current protection device can be extracted by removing the characteristic frequency of Fourier decompositiondIs represented by B1，B2，B3…BmIn which B ismThe m-order harmonic amplitude with 50Hz as fundamental frequency is used to obtain the initial characteristic signal of the body voiceprint of the direct current protection device.
And 102, compensating the initial vocal print characteristic signal of the body through wavelet transformation to obtain the vocal print characteristic signal of the body.
It should be noted that, in step 101, based on the fourier transform of the fixed time window, the voiceprint signal f of the dc control and protection device is extracted and enhanceddCharacteristic frequency and amplitude B1，B2，B3…BmThe method can be used for primary fault identification, but the accuracy is poor.
Therefore, step 102 proposes voiceprint feature extraction based on wavelet transform, and compensates the fourier transform of the fixed time window in S1, so as to meet the requirement of fine voiceprint recognition.
Specifically, for the detection condition of the sound emitted during the operation of the direct current protection device, some details of short time scale change are included in the high-frequency noise filtered by frequency truncation in step 101, and the component is subjected to wavelet transform, so that the fine compensation amount of the voiceprint feature can be extracted.
The fourier transform decomposition extracted in step 101The characteristic frequency of the device body and the characteristic frequency of the voiceprint of the surrounding environment can be obtained by the following inverse Fourier transformeAnd fdSignal value:
wherein EiAnd BiI-th harmonic amplitudes at 50Hz as the fundamental frequency, respectively.
Therefore, f containing the refined voiceprint information of the direct current protection equipment can be obtainedn＝fΣ-fd-fe. The wavelet transformation is carried out on the data:
in the formula, a and b are respectively a scaling factor and a translation factor of the wavelet transform, and phi (t) is a wavelet transform base.
At the moment, the refined equipment body characteristic frequency signal delta f can be recovered by the wavelet transformation of the signald：
Wherein, CφA condition for wavelet transform allowance.
Thus, a vocal print characteristic signal f of the body can be obtainedd′＝fd+ΔfdAnd performing Fourier decomposition on the voice print signal to obtain each frequency signal and the amplitude of the voice print signal.
And 103, acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain the real-time operation energy consumption of the direct current protection device.
It should be noted that, the extraction of the device energy consumption information requires installing an independent real-time power measuring instrument for the dc protection device, and recording that the dc protection device is in different operation modesCan form an upper envelope C of the variation of the energy consumption of the equipment with timeup(t) and the lower envelope Cdown(t) evaluating in real time the deviation level ac of the energy consumption of the plant when the plant is in operation, expressed as follows:
wherein, CopAnd (t) converting the above formula to obtain a calculation formula of the real-time operation energy consumption of the direct current protection device.
And 104, establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault.
It can be understood that according to daily monitoring of the voiceprint characteristics and the energy consumption information of the direct-current control protection device, a voiceprint/energy consumption characteristic library for normal operation of the device and a voiceprint/energy consumption characteristic library for fault operation can be established.
The above is a first embodiment of a method for identifying a fault of a dc protection device provided in the embodiment of the present application, and the above is a second embodiment of the method for identifying a fault of a dc protection device provided in the embodiment of the present application.
Referring to fig. 2, a method for identifying a fault of a dc protection device according to a second embodiment of the present application includes:
And 203, eliminating the second characteristic frequency in the first characteristic frequency to obtain a third characteristic frequency of the direct current protection device.
And 204, performing inverse Fourier transform on the second characteristic frequency and the third characteristic frequency respectively to obtain a body voiceprint signal value and a peripheral equipment voiceprint signal value.
And step 205, calculating to obtain a noise voiceprint signal value according to the body voiceprint signal value and the voiceprint signal values of the surrounding devices, and performing wavelet transformation on the noise voiceprint signal value to obtain a body voiceprint characteristic signal.
And step 207, substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain the real-time operation energy consumption of the direct current protection device.
And 208, establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault.
It should be noted that, the steps 201-208 of the present embodiment are similar to the descriptions of the steps 101-104 of the first embodiment, please refer to the descriptions of the steps 101-104, and are not repeated herein.
According to the fault identification method for the direct current control protection device, aiming at the problems that the operation and maintenance technology is immature and the voiceprint characteristics are not obvious when the direct current control protection device detects the current stage, firstly, the voiceprint signals are denoised and enhanced; then compensating the voiceprint signal of the direct current protection device through wavelet transformation, thereby further improving the voiceprint recognition accuracy; then, fusing equipment energy consumption information to construct a feature library; and finally, matching a corresponding fault type based on the feature library when the direct current protection device has a fault. The direct current protection device fault identification method fusing the voiceprint features and the equipment energy consumption can remarkably improve the fault identification accuracy of the direct current protection device, can support preventive maintenance work of the direct current protection device, prevents serious consequences caused by further deterioration of small faults of the direct current protection device, and guarantees safe and reliable operation of a direct current power distribution network. Therefore, the technical problems that the fault identification accuracy is poor and the misjudgment condition is easy to occur in the prior art are solved.
The above is the second embodiment of the method for identifying a fault of a dc protection device provided in the embodiment of the present application, and the above is an embodiment of a system for identifying a fault of a dc protection device provided in the embodiment of the present application.
Referring to fig. 3, a system for identifying a fault of a dc protection device according to a second embodiment of the present application includes:
the denoising unit 301 is configured to obtain an equipment environment voiceprint signal when the direct current protection device operates, denoise and enhance the equipment environment voiceprint signal, and obtain a preliminary body voiceprint characteristic signal of the direct current protection device.
And a compensation unit 302, configured to compensate the preliminary vocal print characteristic signal of the body through wavelet transformation, so as to obtain a vocal print characteristic signal of the body.
The calculating unit 303 is configured to obtain an upper envelope and a lower envelope of the dc protection device, and substitute the upper envelope and the lower envelope into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the dc protection device.
And the matching unit 304 is used for establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault.
According to the fault identification system of the direct current control protection device, aiming at the problems that the direct current control protection device is immature in operation and maintenance detection technology at the present stage and the voiceprint characteristics are not obvious, firstly, the voiceprint signals are denoised and enhanced; then compensating the voiceprint signal of the direct current protection device through wavelet transformation, thereby further improving the voiceprint recognition accuracy; then, fusing equipment energy consumption information to construct a feature library; and finally, matching a corresponding fault type based on the feature library when the direct current protection device has a fault. The direct current protection device fault identification method fusing the voiceprint features and the equipment energy consumption can remarkably improve the fault identification accuracy of the direct current protection device, can support preventive maintenance work of the direct current protection device, prevents serious consequences caused by further deterioration of small faults of the direct current protection device, and guarantees safe and reliable operation of a direct current power distribution network. Therefore, the technical problems that the fault identification accuracy is poor and the misjudgment condition is easy to occur in the prior art are solved.
Further, an embodiment of the present application further provides a dc protection device fault identification apparatus, where the apparatus includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the fault identification method of the direct current control protection device according to the instructions in the program codes.
Further, in an embodiment of the present application, a computer-readable storage medium is further provided, where the computer-readable storage medium is configured to store a program code, and the program code is configured to execute the method for identifying a fault of a dc protection device according to the foregoing method embodiment.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described drawings 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, for example, capable of operation in sequences other than those illustrated or otherwise 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.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
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, the division of the units is only one logical division, and other divisions may be realized in practice, 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 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 application 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 application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in 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 application. 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 fault identification method for a direct current control protection device is characterized by comprising the following steps:
acquiring an equipment environment voiceprint signal when a direct current protection device operates, and denoising and enhancing the equipment environment voiceprint signal to obtain a body voiceprint preliminary characteristic signal of the direct current protection device;
compensating the initial vocal print characteristic signal of the body through wavelet transformation to obtain a vocal print characteristic signal of the body;
acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the direct current protection device;
and establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct-current protection device has a fault.
2. The method for identifying the fault of the direct current protection device according to claim 1, wherein the obtaining of the device environment voiceprint signal during the operation of the direct current protection device, and the denoising and enhancing of the device environment voiceprint signal are performed to obtain a preliminary voiceprint characteristic signal of a body of the direct current protection device specifically include:
acquiring an equipment environment voiceprint signal when the direct current protection device operates, and carrying out Fourier decomposition on the equipment environment voiceprint signal to obtain a first characteristic frequency, wherein the equipment environment voiceprint signal consists of: the body voiceprint, the peripheral equipment voiceprint and the noise voiceprint of the direct current protection device are overlapped;
acquiring the voiceprint of the peripheral equipment when the direct current protection device does not operate, and performing Fourier decomposition on the voiceprint of the peripheral equipment to obtain a second characteristic frequency;
and eliminating the second characteristic frequency in the first characteristic frequency to obtain a third characteristic frequency of the direct current protection device.
3. The method for identifying the fault of the direct current control protection device according to claim 2, wherein the compensating the preliminary vocal print characteristic signal of the body through wavelet transformation to obtain the vocal print characteristic signal of the body specifically comprises:
respectively performing inverse Fourier transform on the second characteristic frequency and the third characteristic frequency to obtain a body voiceprint signal value and a peripheral equipment voiceprint signal value;
and calculating to obtain a noise voiceprint signal value according to the body voiceprint signal value and the voiceprint signal values of surrounding equipment, and performing wavelet transformation on the noise voiceprint signal value to obtain the body voiceprint characteristic signal.
4. The method for identifying the fault of the direct current protection device according to claim 1, wherein the acquiring the upper envelope and the lower envelope of the direct current protection device specifically comprises:
and acquiring equipment energy consumption information of the direct current protection device in various operation modes, and generating the upper envelope line and the lower envelope line according to the equipment energy consumption information.
5. The method for identifying the fault of the direct current control protection device according to claim 1, wherein the calculation formula of the deviation level of the energy consumption of the equipment is as follows:
in the formula, Cup(t) is the upper envelope, Cdown(t) is the lower envelope, Cop(t) the real-time operation energy consumption of the direct current protection device, wherein delta C is the deviation level of the energy consumption of the equipment.
6. A DC control protection device fault identification system is characterized by comprising:
the denoising unit is used for acquiring an equipment environment voiceprint signal when the direct current protection device operates, denoising and enhancing the equipment environment voiceprint signal, and acquiring a body voiceprint preliminary characteristic signal of the direct current protection device;
the compensation unit is used for compensating the initial vocal print characteristic signal of the body through wavelet transformation to obtain a vocal print characteristic signal of the body;
the calculation unit is used for acquiring an upper envelope line and a lower envelope line of the direct current protection device, and substituting the upper envelope line and the lower envelope line into an equipment energy consumption deviation level calculation formula to obtain real-time operation energy consumption of the direct current protection device;
and the matching unit is used for establishing a feature library of normal operation voiceprints, fault operation voiceprints and corresponding energy consumption according to the body voiceprint feature signals and the real-time operation energy consumption, and matching corresponding fault types based on the feature library when the direct current protection device has a fault.
7. The system for identifying faults of a direct current protection device according to claim 6, wherein the denoising unit is specifically configured to:
acquiring an equipment environment voiceprint signal when the direct current protection device operates, and carrying out Fourier decomposition on the equipment environment voiceprint signal to obtain a first characteristic frequency, wherein the equipment environment voiceprint signal consists of: the body voiceprint, the peripheral equipment voiceprint and the noise voiceprint of the direct current protection device are overlapped;
acquiring the voiceprint of the peripheral equipment when the direct current protection device does not operate, and performing Fourier decomposition on the voiceprint of the peripheral equipment to obtain a second characteristic frequency;
and eliminating the second characteristic frequency in the first characteristic frequency to obtain a third characteristic frequency of the direct current protection device.
8. The system according to claim 7, wherein the compensation unit is specifically configured to:
respectively performing inverse Fourier transform on the second characteristic frequency and the third characteristic frequency to obtain a body voiceprint signal value and a peripheral equipment voiceprint signal value;
and calculating to obtain a noise voiceprint signal value according to the body voiceprint signal value and the voiceprint signal values of surrounding equipment, and performing wavelet transformation on the noise voiceprint signal value to obtain the body voiceprint characteristic signal.
9. A dc link failure recognition apparatus, comprising:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the direct current protection device fault identification method according to any one of claims 1 to 5 according to instructions in the program code.
10. A computer-readable storage medium for storing a program code for executing the dc link failure recognition method according to any one of claims 1 to 5.
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