Wind turbine generator voiceprint correction method and related device

Abstract

The invention discloses a voiceprint correction method for a wind turbine generator and a related device. The voiceprint correction method comprises the following steps: acquiring operation parameters of the wind turbine generator; calculating a fog drop scattering coefficient, a corrected sound velocity and a corrected sound path distance difference according to the operation parameters of the wind turbine generator; dynamically reconstructing a sound spectrum according to the fog drop scattering coefficient, the corrected sound velocity and the corrected sound path distance difference; and obtaining the corrected voiceprint according to the dynamically reconstructed sound spectrum. The method and the related device can accurately detect the voiceprint signal of the wind turbine generator.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of voiceprint detection, and relates to a wind turbine voiceprint correction method and related device. BACKGROUND

[0002] Under strong fog, the voiceprint signal is easy to be distorted, resulting in poor detection level and fault recognition rate. In heavy fog, high-density water molecules can absorb and scatter sound wave energy, leading to sound propagation attenuation, and high-frequency sound waves are more easily weakened. The increase in humidity reduces air density, slightly increases sound speed, and further affects the resonance peak frequency shift. The publication CN114233580B discloses a correction method for wind turbine nacelle wind speed, comprising: obtaining the running parameters of the target unit collected at each sampling time within a preset sampling time length, and constructing a correction parameter matrix according to the running parameters; inputting the correction parameter matrix into a wind speed correction model to obtain the free stream wind speed of the target unit output by the wind speed correction model; wherein the wind speed correction model is trained based on the correction parameter matrix sample and the free stream wind speed label corresponding to the correction parameter matrix sample. The correction parameter matrix is constructed based on the running parameters of the target unit collected at each sampling time within a preset sampling time length, comprising: within the preset sampling time length, the nacelle wind speed of the target unit and the wind field free stream wind speed of the wind field are obtained at each sampling time according to a preset sampling frequency; the wind speed value of each nacelle wind speed is normalized to obtain the first expression value corresponding to each nacelle wind speed; the wind speed value of each wind field free stream wind speed is normalized to obtain the second expression value corresponding to each wind field free stream wind speed; the correction parameter matrix is constructed by all first expression values and all second expression values. The running parameters of the target unit also include the nacelle temperature of the target unit; accordingly, within the preset sampling time length, the nacelle temperature of the target unit is obtained at each sampling time according to the preset sampling frequency; the temperature value corresponding to each nacelle temperature is normalized to obtain the third expression value corresponding to each nacelle temperature; the correction parameter matrix is constructed by all first expression values, all second expression values and all third expression values. The wind speed correction model is constructed and trained by collecting the running data of the dedicated unit, to utilize the nonlinear fitting capability of the wind speed correction model to realize the rapid correction of the nacelle wind speed of all wind turbines in the wind field, and the corrected free stream wind speed is more accurate compared to the traditional linear transfer function.

[0003] Currently, there are processing and correction techniques for filtering and denoising voiceprint detection data, but the influence of heavy fog concentration and particle size on detection data is not considered. The traditional sound attenuation model only considers distance attenuation and does not introduce the influence factors of fog droplet scattering, so the detection accuracy of wind turbine voiceprint is poor. SUMMARY

[0004] The present application aims to overcome the above-mentioned shortcomings of the prior art, and provides a wind turbine soundprint correction method and related device, which can accurately detect the soundprint signal of the wind turbine.

[0005] To achieve the above-mentioned purpose, the present application discloses a wind turbine soundprint correction method, comprising: obtaining the operating parameters of the wind turbine; calculating the fog droplet scattering coefficient, the corrected sound speed and the corrected sound path difference according to the operating parameters of the wind turbine; dynamically reconstructing the sound spectrum according to the fog droplet scattering coefficient, the corrected sound speed and the corrected sound path difference; obtaining the corrected soundprint according to the dynamically reconstructed sound spectrum.

[0006] The wind turbine soundprint correction method further improves in that: Further, the fog droplet scattering coefficient is:

[0007] wherein V is the visibility, which is measured in real time by a laser visibility meter; is the sound wave frequency; is the average radius of the fog droplets; is the Mie scattering efficiency factor.

[0008] Further, the corrected sound speed c is:

[0009] wherein RH is the humidity measured in real time by a humidity sensor.

[0010] Further, the corrected sound path difference AL is:

[0011] wherein c0 is the reference sound speed; ΔRH is the humidity change rate; d is the sound source distance.

[0012] Further, the dynamically reconstructed sound spectrum is represented as:

[0013] wherein, α fog ( f ) is the fog droplet scattering coefficient; c is the corrected sound speed; AL is the corrected sound path difference; d is the sound source distance; f is the sound wave frequency.

[0014] The present application discloses a wind turbine soundprint correction system, comprising: obtaining an operating parameter of the wind turbine; calculating a fog droplet scattering coefficient, a corrected sound speed and a corrected sound path difference according to the operating parameter of the wind turbine; dynamically reconstructing a sound spectrum according to the fog droplet scattering coefficient, the corrected sound speed and the corrected sound path difference; obtaining a corrected acoustic print according to the dynamically reconstructed sound spectrum.

[0015] The wind turbine acoustic print correction system further improves in that: Further, the fog droplet scattering coefficient is:

[0016] wherein V is the visibility, which is measured in real time by a laser visibility meter; is the sound wave frequency; is the average radius of the fog droplets; is the Mie scattering efficiency factor.

[0017] Further, the corrected sound speed c is:

[0018] wherein RH is the humidity measured in real time by a humidity sensor.

[0019] The application discloses a computer device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the wind turbine acoustic print correction method when executing the computer program.

[0020] The application discloses a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the wind turbine acoustic print correction method when executed by a processor.

[0021] The application has the following beneficial effects: The wind turbine acoustic print correction method and related device have the following advantages: according to the operating parameter of the wind turbine, the fog droplet scattering coefficient, the corrected sound speed and the corrected sound path difference are calculated, the sound spectrum is dynamically reconstructed according to the fog droplet scattering coefficient, the corrected sound speed and the corrected sound path difference, the corrected acoustic print is obtained according to the dynamically reconstructed sound spectrum, and then the influence factors of distance attenuation and fog droplet scattering are introduced into the acoustic print detection of the wind turbine, so that the detection accuracy is higher. BRIEF DESCRIPTION OF DRAWINGS

[0022] The accompanying drawings, which form a part of this specification, are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification. The drawings illustrate one illustrative embodiment of the application and, although the application can not be limited to the illustrative embodiments presented herein, and thus specific embodiments described herein are not intended to be limiting, but rather are presented as being illustrative of the various alternatives. Figure 1 is a schematic diagram of the present application; Figure 2 is a flow chart of the method of the present application; Figure 3 is a block diagram of the system of the present application. DETAILED DESCRIPTION

[0023] 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. Obviously, the described embodiments are some of the embodiments of the present application but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0024] In the description of the present application, it should be understood that the terms "including" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and / or components but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0025] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0026] It should be further understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations thereof, and includes these combinations, for example, A and / or B can mean the existence of A alone, the existence of B alone, and the existence of both A and B. In addition, the character " / " in the present application generally represents an "or" relationship between the front and rear associated objects.

[0027] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present application to describe a predetermined range, etc., these predetermined ranges should not be limited to these terms. These terms are only used to distinguish the predetermined ranges from each other. For example, the first predetermined range can also be referred to as the second predetermined range, and similarly, the second predetermined range can also be referred to as the first predetermined range without departing from the scope of the embodiments of the present application.

[0028] Depending on the context, the word "if' can be interpreted to mean "when" or "upon" or "in response to determining" or "in response to detecting." Similarly, the phrase "if it is determined" or "if [a stated condition or event] is detected" can be interpreted to mean "upon determining" or "in response to determining" or "upon detecting [the stated condition or event]" or "in response to detecting [the stated condition or event]."

[0029] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings of the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application but not all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without creative work based on the embodiments in the present application belong to the scope of protection of the present application.

[0030] Various structural schematic diagrams according to the disclosed embodiments of the present application are shown in the accompanying drawings. These diagrams are not drawn to scale, in which some details are exaggerated for the purpose of clarity and some details can be omitted. The shapes of various regions, layers and the relative size and position relationship therebetween shown in the diagrams are only exemplary, and in actuality, there can be deviations due to manufacturing tolerances or technical limitations, and regions / layers with different shapes, sizes and relative positions can be additionally designed by those skilled in the art according to actual needs.

[0031] Embodiment one With reference to Figure 1 The wind turbine voiceprint correction method described in the present application comprises the following steps: 1) Obtain the operating parameters of the wind turbine, including the sound information, visibility, temperature and humidity of the wind turbine; Specifically, the sound, visibility, temperature, humidity and other parameters of the wind turbine are collected in real time by using a sound sensor, a visibility laser instrument and a temperature and humidity sensor.

[0032] 2) Calculate the fog droplet scattering coefficient α α fog (α f ), the corrected sound velocity c and the corrected sound path difference ΔL according to the operating parameters of the wind turbine; 3) Calculate the corrected sound velocity c and the corrected sound path difference ΔL according to the fog droplet scattering coefficient α fog(f) the corrected sound speed c and the corrected sound path difference AL dynamically reconstruct the sound spectrum; 4) obtaining the corrected voiceprint according to the dynamically reconstructed sound spectrum.

[0033] The fog droplet scattering coefficient in step 2) is

[0034] Wherein, V is the visibility, which is measured by a laser visibility instrument in real time; is the sound wave frequency; is the average radius of the fog droplets; is the Mie scattering efficiency factor.

[0035] The corrected sound speed c in step 2) is

[0036] Wherein, RH is the humidity measured by a humidity sensor in real time; The corrected sound path difference AL in step 2) is

[0037] Wherein, c0 is the reference sound speed, that is, 340 m / s, ΔRH is the humidity change rate, and d is the sound source distance.

[0038] The dynamically reconstructed sound spectrum in step 3) is represented as

[0039] It should be noted that the present application uses a sound sensor, a visibility laser instrument and a temperature and humidity sensor to collect parameters such as sound, visibility, temperature and humidity of a wind turbine in real time, and performs fog droplet scattering physical model and adaptive spectrum compensation on voiceprint data based on various data, which is extremely practical.

[0040] Embodiment two The wind turbine voiceprint correction system provided by the present application has the characteristics that it comprises: A first acquisition module is configured to acquire operation parameters of a wind turbine. A calculation module is configured to calculate a fog droplet scattering coefficient, a corrected sound speed and a corrected sound path difference according to the operation parameters of the wind turbine. A reconstruction module is configured to dynamically reconstruct a sound spectrum according to the fog droplet scattering coefficient, the corrected sound speed and the corrected sound path difference. A second acquisition module is configured to acquire a corrected voiceprint according to the dynamically reconstructed sound spectrum.

[0041] The fog droplet scattering coefficient in the embodiment is ​​

[0042] wherein, V is the visibility, measured in real time by a laser visibility meter; is the frequency of the sound wave; is the average radius of the fog droplets; is the Mie scattering efficiency factor.

[0043] In this embodiment, the corrected sound speed c is:

[0044] wherein, RH is the humidity measured in real time by a humidity sensor.

[0045] In this embodiment, the corrected sound path difference AL is:

[0046] wherein, c0 is the reference sound speed; ΔRH is the humidity change rate; d is the sound source distance.

[0047] In this embodiment, the dynamically reconstructed sound spectrum is represented as:

[0048] wherein, α fog f is the fog droplet scattering coefficient; c is the corrected sound speed; AL is the corrected sound path difference; d is the sound source distance; f is the frequency of the sound wave.

[0049] The division of the modules in the embodiments of the present application is illustrative, and is merely a logical function division. In actual implementation, another division manner can be used. In addition, the function modules in each embodiment of the present application can be integrated in one processor, or can be physically separated, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software function module.

[0050] Embodiment three A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the wind turbine voiceprint correction method when executing the computer program, for example, including: 1) obtaining the operating parameters of the wind turbine, the operating parameters of the wind turbine including the sound information, the visibility, the temperature, and the humidity of the wind turbine; specifically, using a sound sensor, a visibility laser instrument, and a temperature and humidity sensor to collect the sound, the visibility, the temperature, and the humidity of the wind turbine in real time. 2) calculating the fog droplet scattering coefficient α fog f ​​), the corrected sound velocity c and the corrected sound path difference AL; 3) reconstructing the sound spectrum dynamically according to the fog droplet scattering coefficient a fog (f), the corrected sound velocity c and the corrected sound path difference AL; 4) obtaining the corrected voiceprint according to the dynamically reconstructed sound spectrum. Specifically, the memory can include a memory, such as a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface, and the memory are connected to each other through an internal bus, which can be an industry standard architecture bus, a peripheral component interconnect standard bus, an extended industry standard structure bus, etc., and the bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs, specifically, the programs can include program codes, and the program codes include computer operation instructions. The memory can include a memory and a non-volatile memory, and provide instructions and data to the processor.

[0051] Embodiment four A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the wind turbine voiceprint correction method, for example, including: 1) obtaining the operating parameters of the wind turbine, the operating parameters of the wind turbine including the sound information, the visibility, the temperature and the humidity of the wind turbine; specifically, the sound, the visibility, the temperature, the humidity and other parameters of the wind turbine are collected in real time by using a sound sensor, a visibility laser instrument and a temperature and humidity sensor. 2) calculating the fog droplet scattering coefficient a according to the operating parameters of the wind turbine α fog ( f ), the corrected sound velocity c and the corrected sound path difference AL; 3) reconstructing the sound spectrum dynamically according to the fog droplet scattering coefficient a fog (f), the corrected sound velocity c and the corrected sound path difference AL; 4) obtaining the corrected voiceprint according to the dynamically reconstructed sound spectrum. Specifically, the computer readable storage medium includes but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory can include a random access memory and / or a cache memory, etc. The non-volatile memory can include a read-only memory, a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0052] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media having computer-usable program code.

[0053] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks. Figure 1 one or more flow or blocks.

[0054] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks. Figure 1 one or more flow or blocks.

[0055] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks. ​ one or more flow or blocks.

[0056] Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the present application be limited only by the scope of the appended claims, including the proper construction of equivalents to which they are entitled. It will be appreciated that details of the foregoing embodiments, given only by way of example, are not intended to limit the scope of the application, but rather to provide a description of the principles and operation of the application. The true scope of the application is indicated by the appended claims.

[0057] It is to be understood that the application is not limited to the precise construction described in the specification and shown in the drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is indicated by the appended claims, and all changes that come within the meaning and range of equivalents are intended to be embraced therein.

[0058] The above description is only the preferred embodiment of the application, and is not intended to limit the application to any of the above-described embodiments. Any simple modification, change, and equivalent structural change made to the above-described embodiments according to the technical essence of the application shall still fall within the protection scope of the technical solution of the application.

Claims

1. A wind turbine unit acoustic signature correction method, characterized by, The method comprises: acquiring an operating parameter of a wind turbine; calculating a fog droplet scattering coefficient, a corrected sound speed, and a corrected sound path difference according to the operating parameter of the wind turbine; dynamically reconstructing a sound spectrum according to the fog droplet scattering coefficient, the corrected sound speed, and the corrected sound path difference; acquiring a corrected acoustic fingerprint according to the dynamically reconstructed sound spectrum.

2. The wind turbine unit acoustic fingerprint correction method of claim 1, wherein, The fog droplet scattering coefficient is: Wherein, V is the visibility, measured by laser visibility meter in real time; is the frequency of the sound wave; is the average radius of the fog droplets; is the Mie scattering efficiency factor.

3. The wind turbine unit acoustic signature correction method of claim 1, wherein, The corrected sound speed c is: where RH is a humidity measured in real time by a humidity sensor.

4. The wind turbine unit acoustic signature correction method of claim 1, wherein, The corrected sound path difference AL is: where c0 is a reference sound speed; ARH is a humidity change rate; and d is a sound source distance.

5. The wind turbine unit acoustic signature correction method of claim 1, wherein, The dynamically reconstructed sound spectrum is expressed as: wherein α fog ( f ) is the droplet scattering coefficient; c is the corrected sound speed; AL is the corrected path difference; d is the sound source distance; and f is the sound wave frequency.

6. A wind turbine unit acoustic signature correction system characterized by, The method comprises: a first acquiring module configured to acquire an operating parameter of a wind turbine; a calculating module configured to calculate a fog droplet scattering coefficient, a corrected sound speed, and a corrected sound path difference according to the operating parameter of the wind turbine; a reconstructing module configured to dynamically reconstruct a sound spectrum according to the fog droplet scattering coefficient, the corrected sound speed, and the corrected sound path difference; a second acquiring module configured to acquire a corrected acoustic fingerprint according to the dynamically reconstructed sound spectrum.

7. The wind turbine unit acoustic fingerprint correction system of claim 6, wherein, The fog droplet scattering coefficient is: Wherein, V is the visibility, measured by laser visibility meter in real time; is the frequency of the sound wave; is the average radius of the fog droplets; is the Mie scattering efficiency factor.

8. The wind turbine unit acoustic fingerprint correction system of claim 6, wherein, The corrected sound speed c is: where RH is a humidity measured in real time by a humidity sensor.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the wind turbine acoustic fingerprint correction method according to any one of claims 1-5.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to implement the steps of the wind turbine acoustic fingerprint correction method according to any one of claims 1-5.

Images