CN116631424A - Method, device and medium for separating and eliminating noise interference of acoustic environment of transformer substation - Google Patents

Method, device and medium for separating and eliminating noise interference of acoustic environment of transformer substation Download PDF

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Publication number
CN116631424A
CN116631424A CN202310476884.7A CN202310476884A CN116631424A CN 116631424 A CN116631424 A CN 116631424A CN 202310476884 A CN202310476884 A CN 202310476884A CN 116631424 A CN116631424 A CN 116631424A
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China
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acoustic environment
transformer substation
signal
frame
acoustic
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Inventor
廖正海
万保权
张建功
干喆渊
赵军
胡静竹
周兵
刘兴发
金文德
丰佳
倪园
李妮
王延召
张业茂
谢辉春
路遥
贺伟
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State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
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State Grid Zhejiang Electric Power Co Ltd
China Electric Power Research Institute Co Ltd CEPRI
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Priority to CN202310476884.7A priority Critical patent/CN116631424A/en
Publication of CN116631424A publication Critical patent/CN116631424A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0272Voice signal separating
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention discloses a method, a device and a medium for separating and eliminating noise interference of a transformer substation acoustic environment. The method comprises the following steps: measuring the acoustic environment of the transformer substation according to the noise measuring device to acquire an acoustic environment signal of the transformer substation; framing and windowing the transformer substation acoustic environment signals to obtain transformer substation acoustic environment processing signals of each frame, and respectively calculating the acoustic energy of the transformer substation acoustic environment processing signals of each frame; under the condition that the acoustic energy is not higher than a preset acoustic energy threshold value, judging that the noise interference does not exist in the transformer substation acoustic environment signal of the frame, otherwise, judging that the noise interference exists in the transformer substation acoustic environment signal of the frame; separating the transformer substation acoustic environment processing signal with noise interference from the transformer substation acoustic environment signal to obtain a transformer substation acoustic environment frequency spectrum with noise interference, performing wiener filtering processing to remove the noise interference frequency spectrum, obtaining a pure transformer substation acoustic environment frequency spectrum, and performing short-time Fourier inverse transformation to obtain a pure acoustic environment signal.

Description

Method, device and medium for separating and eliminating noise interference of acoustic environment of transformer substation
Technical Field
The invention relates to the technical field of transformer substation acoustic environment analysis, in particular to a transformer substation acoustic environment noise interference separation and elimination method, device and medium.
Background
The transformer station is a junction point of transmission and distribution links of the ultra-high voltage transmission and transformation project, and mainly comprises equipment such as a transformer, a bus, an isolating switch, a circuit breaker, a grounding switch, a lightning arrester, a transformer, a capacitor, a reactor, a live framework and the like. However, as the transformer, the shunt reactor, the electrified framework, the fan and other devices can directly discharge noise to the environment when in operation, a specific sound environment exists in the transformer substation all the time, the measurement and evaluation of the sound environment of the transformer substation are an essential inspection index for the environmental evaluation and acceptance of the ultra-high voltage power transmission and transformation project.
However, when the transformer substation acoustic environment is measured and evaluated, noise interference with burstiness and instantaneity such as the noise of a worm and bird, the noise of a frog, the noise of a motor vehicle, the noise of a thunder and rain, the noise of a footstep, the noise of a talking person and the like in the transformer substation boundary is superimposed in the acoustic environment measurement result, if the noise is not separated and removed in time, the acoustic environment measurement result is extremely easy to be abnormally high, and the false alarm phenomenon is triggered. However, if an excessive means is adopted in the process of separating and eliminating noise and interference of the noise environment of the transformer substation, the measurement result of the sound environment of the transformer substation is distorted, and the sound environment level of the transformer substation cannot be truly reflected. In order to separate and reject noise interference of the acoustic environment of the transformer substation, the current common method is to combine advanced data processing technologies such as voiceprint recognition and spectral subtraction, separate the noise interference from the original acoustic environment of the transformer substation by pattern recognition of noise interference signals in measurement results, and reject the noise interference from the measurement results by spectral subtraction so as to obtain original acoustic environment signals. Although the method can effectively realize noise interference separation and elimination of the transformer substation acoustic environment, the transformer substation acoustic environment characteristic database is required to be constructed in advance, and the data processing technology can complete pattern recognition only after a preset time, so that the noise interference separation and elimination process is low in efficiency.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method, a device and a medium for separating and eliminating noise interference of a transformer substation acoustic environment.
According to one aspect of the invention, a method for separating and eliminating noise interference of acoustic environment of a transformer substation is provided, which comprises the following steps:
measuring the acoustic environment of the transformer substation according to the noise measuring device to acquire an acoustic environment signal of the transformer substation;
framing and windowing the transformer substation acoustic environment signals to obtain transformer substation acoustic environment processing signals of each frame, and respectively calculating the acoustic energy of the transformer substation acoustic environment processing signals of each frame;
under the condition that the acoustic energy is not higher than a preset acoustic energy threshold value, judging that the noise interference does not exist in the transformer substation acoustic environment signal of the frame, otherwise, judging that the noise interference exists in the transformer substation acoustic environment signal of the frame;
separating the transformer substation acoustic environment processing signal with noise interference from the transformer substation acoustic environment signal to obtain a transformer substation acoustic environment frequency spectrum with noise interference;
and carrying out wiener filtering processing on the transformer substation acoustic environment spectrum, removing the noise interference spectrum, obtaining a pure transformer substation acoustic environment spectrum, and carrying out short-time Fourier transform on the pure transformer substation acoustic environment spectrum to obtain a pure acoustic environment signal.
Optionally, framing and windowing are performed on the transformer substation acoustic environment signals, and the formula for obtaining each frame of transformer substation acoustic environment processing signals is as follows:
y i (n)=y(n)*w(m-n)
wherein y is i (N) is a transformer substation acoustic environment processing signal of an ith frame transformer substation acoustic environment signal, y (N) is a transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, w (m-N) is a hanning window function, m is frame shift, and N is frame length.
Optionally, the formula for calculating the acoustic energy of the acoustic environment processing signal of each frame of transformer substation is as follows:
wherein E is i Power transformation for the ith frameAcoustic energy of the station sound environment signal, y i And (N) is a transformer substation acoustic environment processing signal of the ith frame of transformer substation acoustic environment signal, and N is a frame length.
Optionally, the method further comprises:
and under the condition that the frame of transformer substation acoustic environment signals have interference, calculating transitions of the frame of acoustic environment processing signals:
wherein S is i To jump, y i (N) is the transformer substation acoustic environment processing signal of the ith frame transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, N is the frame length, and when y i (n)-y i When (n-1) is not less than delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that the acoustic environment signal of the transformer substation has positive transitions, when y i (n)-y i When (n-1) is less than or equal to-delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that there is a negative transition in the substation acoustic environment signal, δ is the substation acoustic environment signal threshold;
and under the condition that only positive transitions or negative transitions exist in the frame of transformer substation acoustic environment signals, the condition that the noise interference duration time in the transformer substation acoustic environment exceeds the frame length is explained, the value of the frame length N of the frame of transformer substation acoustic environment signals is improved, and the calculation is carried out again.
Optionally, the formula of the substation acoustic environment spectrum in which noise interference exists is as follows:
Y i (k)=Y i * (k)+D i (k)
wherein Y is i (k) For the acoustic environment spectrum of the transformer substation with noise interference, Y i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, D i (k) The noise interference spectrum, k is the number of frequency points.
Optionally, wiener filtering processing is performed on the transformer substation acoustic environment spectrum, the noise interference spectrum is removed, and the formula for obtaining the pure transformer substation acoustic environment spectrum is as follows:
Y i * (k)=G i (k)Y i (k)
ξ i (k)=αξ i-1 (k)+(1-α)max(γ i (k)-1,0)
γ i (k)=Y i 2 (k)/λ(k)
wherein Y is i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, Y i (k) G for the acoustic environment spectrum of the transformer substation with noise interference i (k) As a filtering function, xi i (k) For a priori signal-to-noise ratio, α is a smoothing factor and λ (k) is the variance of the kth spectral component of the substation acoustic environment signal.
According to another aspect of the present invention, there is provided a transformer substation acoustic environment noise interference separation and elimination device, including:
the measuring module is used for measuring the acoustic environment of the transformer substation according to the noise measuring device and obtaining the acoustic environment signal of the transformer substation;
the first calculation module is used for carrying out framing and windowing on the transformer substation acoustic environment signals, obtaining transformer substation acoustic environment processing signals of each frame, and respectively calculating the acoustic energy of the transformer substation acoustic environment processing signals of each frame;
the judging module is used for judging that the noise interference does not exist in the transformer substation sound environment signal of the frame under the condition that the sound energy is not higher than a preset sound energy threshold value, otherwise, the noise interference exists in the transformer substation sound environment signal of the frame;
the separation module is used for separating the transformer substation acoustic environment processing signal with noise interference from the transformer substation acoustic environment signal to acquire a transformer substation acoustic environment frequency spectrum with noise interference;
the rejecting module is used for carrying out wiener filtering processing on the acoustic environment spectrum of the transformer substation, rejecting the noise interference spectrum, obtaining the acoustic environment spectrum of the pure transformer substation, and carrying out short-time Fourier transform on the acoustic environment spectrum of the pure transformer substation to obtain a pure acoustic environment signal.
According to a further aspect of the present invention there is provided a computer readable storage medium storing a computer program for performing the method according to any one of the above aspects of the present invention.
According to still another aspect of the present invention, there is provided an electronic device including: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the above aspects of the present invention.
Therefore, the invention provides the transformer substation acoustic environment noise interference separation and elimination, and the transformer substation acoustic environment noise interference high-efficiency separation and elimination is realized through noise interference signal frame screening and digital filtering processing. The method solves the problem of low efficiency of the noise interference separation and elimination process of the acoustic environment of the transformer substation.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
fig. 1 is a schematic flow chart of a method for separating and rejecting noise interference in a transformer substation acoustic environment according to an exemplary embodiment of the present invention;
fig. 2 is another flow chart of a method for separating and rejecting noise interference in a transformer substation acoustic environment according to an exemplary embodiment of the present invention;
fig. 3 is a schematic structural diagram of a transformer substation acoustic environmental noise interference separation and elimination device according to an exemplary embodiment of the present invention;
fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
It will be appreciated by those of skill in the art that the terms "first," "second," etc. in embodiments of the present invention are used merely to distinguish between different steps, devices or modules, etc., and do not represent any particular technical meaning nor necessarily logical order between them.
It should also be understood that in embodiments of the present invention, "plurality" may refer to two or more, and "at least one" may refer to one, two or more.
It should also be appreciated that any component, data, or structure referred to in an embodiment of the invention may be generally understood as one or more without explicit limitation or the contrary in the context.
In addition, the term "and/or" in the present invention is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In the present invention, the character "/" generally indicates that the front and rear related objects are an or relationship.
It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and that the same or similar features may be referred to each other, and for brevity, will not be described in detail.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations with electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with the terminal device, computer system, server, or other electronic device include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, mainframe computer systems, and distributed cloud computing technology environments that include any of the foregoing, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment in which tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including memory storage devices.
Exemplary method
Fig. 1 is a flow chart of a method for separating and rejecting noise interference in a transformer substation acoustic environment according to an exemplary embodiment of the present invention. The embodiment can be applied to electronic equipment, as shown in fig. 1, the method 100 for separating and eliminating noise interference of the acoustic environment of the transformer substation comprises the following steps:
step 101, measuring the acoustic environment of the transformer substation according to the noise measuring device, and obtaining the acoustic environment signal of the transformer substation.
The noise measuring device can be a sound level meter or an automatic noise monitoring device.
Specifically, referring to fig. 2, a sound level meter or an automatic noise monitoring device is used to measure the sound environment of the transformer substation, so as to obtain a sound environment signal y (n) of the transformer substation.
Step 102, referring to fig. 2, the transformer substation acoustic environment signals are subjected to framing and windowing processing, each frame of transformer substation acoustic environment processing signals is obtained, and acoustic energy of each frame of transformer substation acoustic environment processing signals is calculated respectively.
Optionally, framing and windowing are performed on the transformer substation acoustic environment signals, and the formula for obtaining each frame of transformer substation acoustic environment processing signals is as follows:
y i (n)=y(n)*w(m-n)
wherein y is i (N) is a transformer substation acoustic environment processing signal of an ith frame transformer substation acoustic environment signal, y (N) is a transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, w (m-N) is a hanning window function, m is frame shift, and N is frame length.
Optionally, the formula for calculating the acoustic energy of the acoustic environment processing signal of each frame of transformer substation is as follows:
wherein E is i Acoustic energy for the i frame substation acoustic environment signal, y i And (N) is a transformer substation acoustic environment processing signal of the ith frame of transformer substation acoustic environment signal, and N is a frame length.
Step 103, referring to fig. 2, in the case that the acoustic energy is not higher than the preset acoustic energy threshold, it is determined that the noise interference does not exist in the substation acoustic environment signal of the frame, otherwise, the noise interference exists in the substation acoustic environment signal of the frame.
The acoustic energy threshold is calculated according to the historical transformer substation acoustic signal measurement data.
In particular, if E i ≤E * If yes, judging that noise interference does not exist in the transformer substation acoustic environment signal of the ith frame, and at the moment, measuring the transformer substation acoustic environment signal y by a sound level meter or a noise automatic monitoring device i (n) is the pure sound environment signalI.e.Otherwise, judging that noise interference exists in the transformer substation acoustic environment signal of the ith frame.
Optionally, referring to fig. 2, further includes:
and under the condition that the frame of transformer substation acoustic environment signals have interference, calculating transitions of the frame of acoustic environment processing signals:
wherein S is i To jump, y i (N) is the transformer substation acoustic environment processing signal of the ith frame transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, N is the frame length, and when y i (n)-y i When (n-1) is not less than delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that the acoustic environment signal of the transformer substation has positive transitions, when y i (n)-y i When (n-1) is less than or equal to-delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that there is a negative transition in the substation acoustic environment signal, δ is the substation acoustic environment signal threshold;
and under the condition that only positive transitions or negative transitions exist in the frame of transformer substation acoustic environment signals, the condition that the noise interference duration time in the transformer substation acoustic environment exceeds the frame length is explained, the value of the frame length N of the frame of transformer substation acoustic environment signals is improved, and the calculation is carried out again.
Delta is a threshold value of the acoustic environment signal of the transformer substation, and is calculated according to the historic measured acoustic environment signal of the pure transformer substation.
Step 104, referring to fig. 2, the transformer substation acoustic environment processing signal with noise interference in the frame is separated from the transformer substation acoustic environment signal, so as to obtain a transformer substation acoustic environment frequency spectrum with noise interference.
Optionally, the formula of the substation acoustic environment spectrum in which noise interference exists is as follows:
Y i (k)=Y i * (k)+D i (k)
wherein Y is i (k) For the acoustic environment spectrum of the transformer substation with noise interference, Y i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, D i (k) The noise interference spectrum, k is the number of frequency points.
Step 105, referring to fig. 2, wiener filtering is performed on the transformer substation acoustic environment spectrum, the noise interference spectrum is removed, the pure transformer substation acoustic environment spectrum is obtained, and short-time inverse fourier transform is performed on the pure transformer substation acoustic environment spectrum, so as to obtain a pure acoustic environment signal.
Optionally, wiener filtering processing is performed on the transformer substation acoustic environment spectrum, the noise interference spectrum is removed, and the formula for obtaining the pure transformer substation acoustic environment spectrum is as follows:
Y i * (k)=G i (k)Y i (k)
ξ i (k)=αξ i-1 (k)+(1-α)max(γ i (k)-1,0)
γ i (k)=Y i 2(k)/λ(k)
wherein Y is i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, Y i (k) G for the acoustic environment spectrum of the transformer substation with noise interference i (k) As a filtering function, xi i (k) For a priori signal-to-noise ratio, α is a smoothing factor and λ (k) is the variance of the kth spectral component of the substation acoustic environment signal.
Wherein the wiener filtering process is a digital filter based on a minimum mean square error calculation process.
Specifically, wiener filtering processing is carried out on the transformer substation acoustic environment spectrum with noise interference, the noise interference spectrum is removed, and a pure transformer substation acoustic environment spectrum Y is obtained i * (k)。
For the acoustic environment spectrum Y of a pure transformer substation i * (k) An inverse short-time fourier transform is performed,obtaining clean acoustic environment signals
Therefore, the invention provides the transformer substation acoustic environment noise interference separation and elimination, and the transformer substation acoustic environment noise interference high-efficiency separation and elimination is realized through noise interference signal frame screening and digital filtering processing. The method solves the problem of low efficiency of the noise interference separation and elimination process of the acoustic environment of the transformer substation.
Exemplary apparatus
Fig. 3 is a schematic structural diagram of a transformer substation acoustic environment noise interference separation and elimination device according to an exemplary embodiment of the present invention. As shown in fig. 3, the apparatus 300 includes:
the measurement module 310 is configured to measure the acoustic environment of the transformer substation according to the noise measurement device, and obtain a transformer substation acoustic environment signal;
the first calculation module 320 is configured to perform framing and windowing processing on the transformer substation acoustic environment signal, obtain a transformer substation acoustic environment processing signal of each frame, and calculate acoustic energy of the transformer substation acoustic environment processing signal of each frame respectively;
a judging module 330, configured to judge that, if the acoustic energy is not higher than a preset acoustic energy threshold, no noise interference exists in the substation acoustic environment signal of the frame, otherwise, noise interference exists in the substation acoustic environment signal of the frame;
the separation module 340 is configured to separate the substation acoustic environment processing signal with noise interference from the substation acoustic environment signal, and obtain a substation acoustic environment spectrum with noise interference;
the rejection module 350 is configured to perform wiener filtering processing on the transformer substation acoustic environment spectrum, reject the noise interference spectrum, obtain a pure transformer substation acoustic environment spectrum, and perform short-time inverse fourier transform on the pure transformer substation acoustic environment spectrum to obtain a pure acoustic environment signal.
Optionally, the first calculation module 320 performs framing and windowing processing on the substation acoustic environment signal, and the formula for obtaining the substation acoustic environment processing signal of each frame is as follows:
y i (n)=y(n)*w(m-n)
wherein y is i (N) is a transformer substation acoustic environment processing signal of an ith frame transformer substation acoustic environment signal, y (N) is a transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, w (m-N) is a hanning window function, m is frame shift, and N is frame length.
Optionally, the formula for calculating the acoustic energy of the acoustic environment processing signal of each frame of transformer substation in the first calculation module 320 is as follows:
wherein E is i Acoustic energy for the i frame substation acoustic environment signal, y i And (N) is a transformer substation acoustic environment processing signal of the ith frame of transformer substation acoustic environment signal, and N is a frame length.
Optionally, the apparatus 300 further comprises:
the second calculating module is used for calculating the transition of the frame sound environment processing signal under the condition that the frame sound environment signal of the transformer substation is interfered:
wherein S is i To jump, y i (N) is the transformer substation acoustic environment processing signal of the ith frame transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, N is the frame length, and when y i (n)-y i When (n-1) is not less than delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that the acoustic environment signal of the transformer substation has positive transitions, when y i (n)-y i When (n-1) is less than or equal to-delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that there is a negative transition in the substation acoustic environment signal, δ is the substation acoustic environment signal threshold;
and the recalculation module is used for indicating that the noise interference duration time in the transformer substation acoustic environment exceeds the frame length under the condition that only positive transition or negative transition exists in the frame transformer substation acoustic environment signal, improving the value of the frame length N of the frame transformer substation acoustic environment signal, and recalculating.
Optionally, the formula of the substation acoustic environment spectrum in which noise interference exists in the separation module 340 is as follows:
Y i (k)=Y i * (k)+D i (k)
wherein Y is i (k) For the acoustic environment spectrum of the transformer substation with noise interference, Y i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, D i (k) The noise interference spectrum, k is the number of frequency points.
Optionally, the removing module 350 performs wiener filtering processing on the substation acoustic environment spectrum, removes the noise interference spectrum, and obtains the formula of the pure substation acoustic environment spectrum as follows:
Y i * (k)=G i (k)Y i (k)
ξ i (k)=αξ i-1 (k)+(1-α)max(γ i (k)-1,0)
γ i (k)=Y i 2 (k)/λ(k)
wherein Y is i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, Y i (k) G for the acoustic environment spectrum of the transformer substation with noise interference i (k) As a filtering function, xi i (k) For a priori signal-to-noise ratio, α is a smoothing factor and λ (k) is the variance of the kth spectral component of the substation acoustic environment signal.
Exemplary electronic device
Fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention. As shown in fig. 4, the electronic device 40 includes one or more processors 41 and memory 42.
The processor 41 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
Memory 42 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that may be executed by the processor 41 to implement the methods of the software programs of the various embodiments of the present invention described above and/or other desired functions. In one example, the electronic device may further include: an input device 43 and an output device 44, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
In addition, the input device 43 may also include, for example, a keyboard, a mouse, and the like.
The output device 44 can output various information to the outside. The output device 44 may include, for example, a display, speakers, a printer, and a communication network and remote output apparatus connected thereto, etc.
Of course, only some of the components of the electronic device relevant to the present invention are shown in fig. 4 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
Exemplary computer program product and computer readable storage Medium
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the invention described in the "exemplary methods" section of this specification.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the invention may also be a computer-readable storage medium, having stored thereon computer program instructions, which when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the invention described in the "exemplary method" section of the description above.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present invention have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be considered as essential to the various embodiments of the present invention. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the invention is not necessarily limited to practice with the above described specific details.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, systems, apparatuses, systems according to the present invention are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, systems, apparatuses, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The method and system of the present invention may be implemented in a number of ways. For example, the methods and systems of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
It is also noted that in the systems, devices and methods of the present invention, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the invention to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.

Claims (10)

1. The method for separating and eliminating noise interference of the acoustic environment of the transformer substation is characterized by comprising the following steps of:
measuring the acoustic environment of the transformer substation according to the noise measuring device to acquire an acoustic environment signal of the transformer substation;
framing and windowing the transformer substation acoustic environment signals to obtain transformer substation acoustic environment processing signals of each frame, and respectively calculating the acoustic energy of the transformer substation acoustic environment processing signals of each frame;
under the condition that the acoustic energy is not higher than a preset acoustic energy threshold value, judging that the noise interference does not exist in the transformer substation acoustic environment signal of the frame, otherwise, judging that the noise interference exists in the transformer substation acoustic environment signal of the frame;
separating the transformer substation acoustic environment processing signal with noise interference from the transformer substation acoustic environment signal to obtain transformer substation acoustic environment frequency spectrum with noise interference;
and carrying out wiener filtering processing on the transformer substation acoustic environment spectrum, removing a noise interference spectrum, obtaining a pure transformer substation acoustic environment spectrum, and carrying out short-time Fourier transform on the pure transformer substation acoustic environment spectrum to obtain a pure acoustic environment signal.
2. The method of claim 1, wherein the substation acoustic environment signals are framed and windowed to obtain the substation acoustic environment processing signals for each frame according to the following formula:
y i (n)=y(n)*w(m-n)
wherein y is i (N) is a transformer substation acoustic environment processing signal of an ith frame transformer substation acoustic environment signal, y (N) is a transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, w (m-N) is a hanning window function, m is frame shift, and N is frame length.
3. The method of claim 1, wherein the formula for calculating the acoustic energy of the substation acoustic environment processing signal for each frame separately is as follows:
wherein E is i Acoustic energy for the i frame substation acoustic environment signal, y i And (N) is a transformer substation acoustic environment processing signal of the ith frame of transformer substation acoustic environment signal, and N is a frame length.
4. The method as recited in claim 1, further comprising:
and under the condition that the transformer substation acoustic environment signal of the frame has interference, calculating transitions of the frame acoustic environment processing signal:
wherein S is i To jump, y i (N) is the transformer substation acoustic environment processing signal of the ith frame transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, N is the frame length, and when y i (n)-y i When (n-1) is not less than delta, sgn [ |y i (n)-y i (n-1)|]=1, indicating that the acoustic environment signal of the transformer substation has positive transitions, when y i (n)-y i When (n-1) is less than or equal to-delta, sgn [ |y i (n)-y i (n-1)|]=1, description variantNegative transitions exist in the acoustic environment signal of the power station, and delta is the threshold value of the acoustic environment signal of the power station;
and under the condition that only positive transitions or negative transitions exist in the frame of transformer substation acoustic environment signals, the condition that the noise interference duration time in the transformer substation acoustic environment exceeds the frame length is explained, the value of the frame length N of the frame of transformer substation acoustic environment signals is improved, and the calculation is carried out again.
5. The method of claim 1, wherein the formula for the substation acoustic environment spectrum in the presence of noise interference is as follows:
Y i (k)=Y i * (k)+D i (k)
wherein Y is i (k) For the acoustic environment spectrum of the transformer substation with noise interference, Y i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, D i (k) The noise interference spectrum, k is the number of frequency points.
6. The method of claim 1, wherein the substation acoustic environment spectrum is wiener filtered to remove a noise interference spectrum, and the formula for obtaining a clean substation acoustic environment spectrum is as follows:
Y i * (k)=G i (k)Y i (k)
ξ i (k)=αξ i-1 (k)+(1-α)max(γ i (k)-1,0)
γ i (k)=Y i 2 (k)/λ(k)
wherein Y is i * (k) For purifying the acoustic environment frequency spectrum of the transformer substation, Y i (k) G for the acoustic environment spectrum of the transformer substation with noise interference i (k) As a filtering function, xi i (k) For a priori signal-to-noise ratio, α is a smoothing factor and λ (k) is the variance of the kth spectral component of the substation acoustic environment signal.
7. The utility model provides a transformer substation sound environment noise interference separation remove device which characterized in that includes:
the measuring module is used for measuring the acoustic environment of the transformer substation according to the noise measuring device and obtaining the acoustic environment signal of the transformer substation;
the first calculation module is used for carrying out framing and windowing on the transformer substation acoustic environment signals, obtaining transformer substation acoustic environment processing signals of each frame, and respectively calculating the acoustic energy of the transformer substation acoustic environment processing signals of each frame;
the judging module is used for judging that the noise interference does not exist in the transformer substation sound environment signal of the frame under the condition that the sound energy is not higher than a preset sound energy threshold value, otherwise, the noise interference exists in the transformer substation sound environment signal of the frame;
the separation module is used for separating the transformer substation acoustic environment processing signal with noise interference from the transformer substation acoustic environment signal to acquire a transformer substation acoustic environment frequency spectrum with noise interference;
the rejecting module is used for carrying out wiener filtering processing on the transformer substation acoustic environment spectrum, rejecting a noise interference spectrum and obtaining a pure transformer substation acoustic environment spectrum;
and the acquisition module is used for carrying out short-time inverse Fourier transform on the acoustic environment frequency spectrum of the pure transformer substation to acquire a pure acoustic environment signal.
8. The apparatus of claim 7, wherein the first computing module frames and windows the substation acoustic environment signal to obtain the formula for each frame of substation acoustic environment processing signal as follows:
y i (n)=y(n)*w(m-n)
wherein y is i (N) is a transformer substation acoustic environment processing signal of an ith frame transformer substation acoustic environment signal, y (N) is a transformer substation acoustic environment signal, N is more than or equal to 0 and less than or equal to N-1, w (m-N) is a hanning window function, m is frame shift, and N is frame length.
9. A computer readable storage medium, characterized in that the storage medium stores a computer program for executing the method of any of the preceding claims 1-7.
10. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any of the preceding claims 1-7.
CN202310476884.7A 2023-04-28 2023-04-28 Method, device and medium for separating and eliminating noise interference of acoustic environment of transformer substation Pending CN116631424A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117288129A (en) * 2023-11-27 2023-12-26 承德华实机电设备制造有限责任公司 Method for detecting thickness of irradiation material contained in tray

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117288129A (en) * 2023-11-27 2023-12-26 承德华实机电设备制造有限责任公司 Method for detecting thickness of irradiation material contained in tray
CN117288129B (en) * 2023-11-27 2024-02-02 承德华实机电设备制造有限责任公司 Method for detecting thickness of irradiation material contained in tray

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