Noise reduction method and device, equipment, storage medium and program product

Abstract

The embodiment of the invention provides a noise reduction method and device, equipment, a storage medium and a program product, and relates to the field of noise control. The method comprises the following steps: acquiring environment information, wherein the environment information comprises the current temperature of first equipment and a first sound wave parameter corresponding to a first sound wave; noise reduction parameters are determined according to the current temperature of the first device and the first sound wave parameter, the noise reduction parameters comprise a first parameter, and the target temperature, corresponding to the first parameter, of the first device is smaller than or equal to a temperature threshold value; and adjusting the shielding area of the noise barrier module to the first sound wave according to the first parameter. According to the method, the noise of the first equipment is reduced, meanwhile, the heat dissipation effect of the first equipment is guaranteed, and the problem that heat dissipation of the first equipment fails due to excessive pursuit of the noise reduction effect is avoided.

Description

Technical Field

[0001] This application relates to the field of noise control, and more particularly to a noise reduction method, apparatus, device, storage medium, and program product. Background Technology

[0002] Because the servers in data center computer rooms run 24 hours a day, performing tasks such as processing, storing and transmitting massive amounts of data, the servers consume a lot of power and generate a lot of heat.

[0003] To prevent equipment from overheating, existing data center server rooms are equipped with cooling systems. In some implementations, data center cooling systems use air-cooled direct expansion air conditioners for heat dissipation.

[0004] However, air-cooled direct expansion air conditioners generate continuous mechanical and airflow noise during operation, so reducing the noise caused by this refrigeration system is an urgent problem to be solved. Summary of the Invention

[0005] This application provides a noise reduction method, apparatus, device, storage medium, and product to solve the noise problem caused by a refrigeration system.

[0006] In a first aspect, this application provides a noise reduction method applied to a noise reduction device, the noise reduction device including a noise barrier module. The method includes: acquiring environmental information, the environmental information including the current temperature of a first device and a first sound wave parameter corresponding to a first sound wave; determining noise reduction parameters based on the current temperature of the first device and the first sound wave parameter, the noise reduction parameters including a first parameter, the target temperature of the first device corresponding to the first parameter being less than or equal to a temperature threshold; and adjusting the shielding area of ​​the noise barrier module for the first sound wave based on the first parameter.

[0007] In one possible implementation, the noise reduction device further includes a noise reduction speaker, and the noise reduction parameters further include a second parameter. The method further includes: generating a second sound wave through the noise reduction speaker according to the second parameter, wherein the second sound wave has the same propagation path as the first sound wave and the second sound wave has the opposite phase to the first sound wave.

[0008] In one possible implementation, the first acoustic wave parameter includes the spectral information of the first acoustic wave. Determining the noise reduction parameter based on the current temperature of the first device and the first acoustic wave parameter includes: determining a corresponding first noise reduction strategy among multiple noise reduction strategies based on the spectral information of the first acoustic wave and / or the current temperature of the first device; and determining the noise reduction parameter based on the first noise reduction strategy, according to the current temperature of the first device and the first acoustic wave parameter.

[0009] In one possible implementation, determining a first noise reduction strategy from multiple noise reduction strategies based on the spectral information of the first sound wave and / or the current temperature of the first device includes: determining a first sound wave type from multiple candidate sound wave types based on the spectral information of the first sound wave and / or the current temperature of the first device, wherein the multiple candidate sound wave types correspond to multiple noise reduction strategies; and determining the noise reduction strategy corresponding to the first sound wave type as the first noise reduction strategy from among the multiple noise reduction strategies.

[0010] In one possible implementation, the first sound wave parameter includes the sound pressure level of the first sound wave, and the noise reduction parameter is determined based on the current temperature of the first device and the first sound wave parameter, including: determining the target sound pressure level based on the current temperature of the first device; and determining the noise reduction parameter based on the sound pressure level of the first sound wave and the target sound pressure level.

[0011] In one possible implementation, the environmental information also includes wind speed, air pressure, air humidity, and vibration information. The noise reduction parameters are determined based on the current temperature of the first device and the first sound wave parameters, including: determining the noise reduction parameters based on wind speed, air pressure, air humidity, vibration information, the current temperature of the first device, and the first sound wave parameters.

[0012] In one possible implementation, the second sound wave propagates in the same direction as the first sound wave.

[0013] In one possible implementation, the noise barrier module includes multiple barrier units, and the connection between the multiple barrier units is a magnetic connection or a latching connection.

[0014] In one possible implementation, the noise barrier module is a multi-layer composite structure composed of multiple materials, including at least one of a low-to-mid frequency noise reduction structure, a broadband sound absorption structure, a high frequency sound insulation structure, and a cavity structure.

[0015] In one possible implementation, multiple barrier units form a noise reduction channel, with one end of the noise reduction channel facing the direction of the sound source of the first sound wave.

[0016] In one possible implementation, the noise barrier module includes an adjustable mechanism, with different adjustment positions of the adjustable mechanism corresponding to different shielding areas of the noise reduction channel. Adjusting the shielding area of ​​the noise barrier module for the first sound wave according to a first parameter includes: adjusting the position of the adjustable mechanism from a first position to a second position according to the first parameter.

[0017] Secondly, this application provides a noise reduction device, comprising:

[0018] The control module is used to acquire environmental information, including the current temperature of the first device and the first sound wave parameters corresponding to the first sound wave; and to determine noise reduction parameters based on the current temperature of the first device and the first sound wave parameters. The noise reduction parameters include a first parameter, and the target temperature of the first device corresponding to the first parameter is less than or equal to a temperature threshold.

[0019] A noise barrier module is used to adjust the shielding area for the first sound wave according to a first parameter.

[0020] Thirdly, this application provides an electronic device, including: a processor and a memory communicatively connected to the processor;

[0021] The memory stores instructions that the computer executes;

[0022] The processor executes computer-executable instructions stored in memory to implement any of the methods of the first aspect.

[0023] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method of any one of the first aspects.

[0024] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method of any one of the first aspects.

[0025] The noise reduction method provided in this application determines noise reduction parameters based on the current temperature of the first device and the first sound wave parameters. The current temperature of the first device corresponding to the first parameter is less than or equal to a temperature threshold. This reduces the noise of the first device while ensuring the heat dissipation effect of the first device, thus avoiding the problem of heat dissipation failure of the first device due to excessive pursuit of noise reduction effect. Attached Figure Description

[0026] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0027] Figure 1 This is a schematic diagram of the structure of a noise reduction device provided in an embodiment of this application;

[0028] Figure 2 A flowchart illustrating a noise reduction method provided in an embodiment of this application;

[0029] Figure 3 A schematic diagram of a noise reduction method provided in an embodiment of this application;

[0030] Figure 4 A cross-sectional schematic diagram of a noise reduction channel provided in an embodiment of this application;

[0031] Figure 5 This is a schematic diagram of another noise reduction device provided in an embodiment of this application;

[0032] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0033] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0034] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0035] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of the relevant data all comply with the relevant laws, regulations, and standards of the relevant countries and regions, have taken necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation access points for users to choose to authorize or refuse.

[0036] It should be noted that the noise reduction methods, apparatus, equipment, storage media and products provided in this application can be used in the field of noise control, or in any field other than noise control. The application fields of the noise reduction methods, apparatus, equipment, storage media and products in this application are not limited.

[0037] Because the servers in data center computer rooms run 24 hours a day, performing tasks such as processing, storing and transmitting massive amounts of data, the servers consume a lot of power and generate a lot of heat.

[0038] To prevent equipment from overheating, existing data center server rooms are equipped with cooling systems. In some implementations, the data center cooling system uses air-cooled direct expansion air conditioners for cooling and heat dissipation.

[0039] However, air-cooled direct expansion air conditioners generate continuous mechanical and airflow noise during operation, so reducing the noise caused by this refrigeration system is an urgent problem to be solved.

[0040] The noise reduction method provided in this application aims to solve the above-mentioned technical problems of the prior art.

[0041] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0042] Figure 1 This is a schematic diagram of a noise reduction device 100 provided in an embodiment of this application. The noise reduction device 100 includes a control module 101 and a noise barrier module 102, wherein:

[0043] The control module 101 is used to acquire environmental information of the environment surrounding the noise reduction device. The environmental information may include the current temperature of the first device in the surrounding environment and the first sound wave parameters corresponding to the first sound wave. The first sound wave is the sound wave in the environment surrounding the noise reduction device, that is, the noise that needs to be processed.

[0044] Then, the control module 101 can determine the corresponding noise reduction parameters based on the current temperature of the first device and the first acoustic parameters. The noise reduction parameters include the first parameter and the second parameter. The current temperature of the first device corresponding to the noise reduction parameters is less than or equal to the temperature threshold.

[0045] The noise barrier module 102 is used to adjust the shielding area for the first sound wave according to the first parameter.

[0046] In some embodiments, the noise reduction device 100 further includes a noise reduction speaker 103 for generating a second sound wave according to a second parameter, the second sound wave being out of phase with the first sound wave.

[0047] In some embodiments, this may include a sensor module 104 for acquiring information about the surrounding environment.

[0048] The noise reduction device in this application embodiment can be applied in various scenarios requiring noise reduction. The following example illustrates the noise reduction method provided in this application embodiment, using the installation of the noise reduction device on the cooling equipment installed on the server in the data center as an example:

[0049] Figure 2 This is a flowchart illustrating a noise reduction method provided in an embodiment of this application, as shown below. Figure 2 As shown, the method includes:

[0050] S201, The noise reduction device acquires environmental information, including the current temperature of the first device and the parameters of the first sound wave corresponding to the first sound wave.

[0051] In some embodiments, the noise reduction device includes a temperature sensor, which can be used to obtain the current temperature of the first device corresponding to the noise reduction device. For example, it can include at least one of the ambient air temperature of the noise reduction device, the temperature of the noise reduction device, the temperature of the server in the computer room, the set temperature of the cooling equipment (e.g., the condenser), the inlet air temperature of the cooling equipment, and the outlet air temperature.

[0052] In this embodiment, the first device corresponding to the noise reduction device is a device that needs to ensure its heat dissipation effect while achieving noise reduction. For example, taking the area around the cooling equipment installed on the server in the computer room as an example, a noise reduction device can be installed on the cooling equipment, but the heat dissipation effect of the cooling equipment needs to be ensured. The corresponding first device is the cooling equipment.

[0053] In some embodiments, the noise reduction device may include a microphone array, which may be located inside and / or outside the noise reduction device, for acquiring relevant parameters of a first sound wave in the environment surrounding the noise reduction device, which is the noise that needs to be processed.

[0054] In some embodiments, the first acoustic wave parameter may include at least one of the following: sound pressure level, frequency, amplitude, phase, spectrum, wavelength, and waveform of the first acoustic wave, without being limited here.

[0055] In some embodiments, such as Figure 3 As shown, the first sound wave can be a sound wave inside the noise reduction device. Alternatively, the first sound wave can also be a sound wave outside the noise reduction device. The specific type is not limited here.

[0056] In some embodiments, the environmental information may also include other information, such as wind speed and air pressure, air humidity, vibration information of the surrounding environment, etc.

[0057] In this embodiment of the application, the environmental information may also include other information that the noise reduction device needs to acquire and that can be used for noise reduction. Correspondingly, the noise reduction device may include sensors corresponding to other information, such as wind speed sensors, air pressure sensors, air humidity sensors, and vibration sensors, etc., which are not specifically limited here.

[0058] S202. The noise reduction device determines noise reduction parameters based on the current temperature of the first device and the first sound wave parameters. The noise reduction parameters include a first parameter, the target temperature of the first device corresponding to the first parameter being less than or equal to a temperature threshold. The first parameter is used to adjust the noise barrier module.

[0059] It is understood that in this embodiment of the noise reduction device, the noise barrier module will affect the heat dissipation of the first device. Therefore, when adjusting the noise barrier module, the noise reduction device needs to consider the impact on the heat dissipation of the first device and should not excessively affect the heat dissipation capacity of the first device to avoid the temperature of the first device exceeding the temperature threshold. Therefore, the target temperature of the first device corresponding to the determined first parameter needs to be less than or equal to the temperature threshold.

[0060] For example Figure 3 As shown, the noise barrier module includes an adjustable mechanism. Adjusting the position of this mechanism from the second position to the first position enhances the noise reduction effect of the noise barrier module on the noise source at the air outlet. However, it reduces the airflow through the noise reduction channel formed by the noise barrier module, thus reducing the heat dissipation capacity of the first device. Therefore, the position of the adjustable mechanism corresponding to the determined first parameter needs to ensure that the first device has a certain heat dissipation capacity, so that the temperature of the first device is less than or equal to a temperature threshold. This temperature threshold can be the critical value for the safe operation of the first device.

[0061] In this possible approach, noise reduction parameters are determined based on the current temperature of the first device and the first acoustic parameters. The current temperature of the first device corresponding to the first parameter in the noise reduction parameters is less than or equal to a temperature threshold. This reduces the noise of the first device while ensuring its heat dissipation effect, thus avoiding the problem of heat dissipation failure of the first device due to excessive pursuit of noise reduction effect.

[0062] In some embodiments, the environmental information also includes information such as wind speed and air pressure, and vibration information of the surrounding environment. When determining the noise reduction parameters, the noise reduction device can also determine the noise reduction parameters based on these environmental parameters, which are not specifically limited here.

[0063] In some embodiments, the first acoustic wave parameters include the spectral information of the first acoustic wave. The noise reduction device can first determine the corresponding first noise reduction strategy from multiple candidate noise reduction strategies based on the spectral information of the first acoustic wave and / or the current temperature of the first device. Then, based on the first noise reduction strategy, the noise reduction parameters are determined according to the current temperature of the first device and the first acoustic wave parameters.

[0064] In this possible implementation, the corresponding first sound wave type is determined from multiple candidate sound wave types by using the spectrum information of the first sound wave and / or the current temperature of the first device. Different noise reduction strategies can be adopted for different types of sound waves, and precise noise control can be performed for different types of sound waves, thereby improving noise reduction efficiency and enhancing noise reduction effect.

[0065] In some embodiments, when the control module of the noise reduction device determines the corresponding first noise reduction strategy from multiple candidate noise reduction strategies based on the frequency of the first sound wave and / or the current temperature of the first device, it can determine the corresponding first sound wave type from multiple candidate sound wave types based on the spectral information of the first sound wave, where multiple candidate sound wave types correspond to multiple noise reduction strategies. Then, among the multiple noise reduction strategies, the noise reduction strategy corresponding to the first sound wave type is determined as the first noise reduction strategy.

[0066] Since sound waves emitted by different sound sources have different spectral information, that is, sound waves emitted by the same type of sound source have similar spectral information, when determining the corresponding first sound wave type among multiple candidate sound wave types based on the spectral information of the first sound wave, it is also possible to classify based on the sound source of the first sound wave. That is, classifying based on the sound source type is also an implementation method based on spectral information.

[0067] For example, the sound wave type of the first sound wave can be a type classified by sound source, such as human voice, fan noise, motor sound, alarm sound, and air compressor noise; or it can be a type classified by sound wave frequency, such as ultra-low frequency sound waves with a frequency below 20Hz, low frequency sound waves with a frequency of 20Hz-200Hz, mid frequency sound waves with a frequency of 200Hz-2000Hz, high frequency sound waves with a frequency of 2000Hz-20000Hz, and ultra-high frequency sound waves with a frequency above 20000Hz.

[0068] In addition, the type of sound wave of the first sound wave can be more than that, but no specific type is specified here.

[0069] In some embodiments, the control module of the noise reduction device can determine the corresponding first sound wave type from multiple candidate sound wave types based on the spectral information of the first sound wave and models such as convolutional neural networks and recurrent neural networks. The specific type is not limited here.

[0070] It is understandable that different types of sound waves have different sound wave characteristics. In order to achieve better noise reduction, different noise reduction strategies can be pre-set for different types of sound waves. Therefore, the noise reduction device can first determine the first noise reduction strategy corresponding to the first sound wave, and then determine the corresponding noise reduction parameters according to the type of the first sound wave.

[0071] In this embodiment, the noise reduction device includes an adjustable noise barrier module and a noise reduction speaker. The noise barrier module and the noise reduction speaker have different noise reduction effects for different types of sound waves. The noise barrier module has a better noise reduction effect for high-frequency sound waves, while the noise reduction speaker has a better noise reduction effect for low-frequency sound waves. Therefore, the noise reduction device can be set with different noise reduction strategies to improve the noise reduction effect.

[0072] For example, for high-frequency sound waves, the control module of the noise reduction device could choose a strategy that increases the shielding area of ​​the channel formed by the noise barrier module for the first sound wave. For broadband sound waves that include both low and high frequencies, the noise reduction device could choose a strategy that increases the shielding area of ​​the channel formed by the noise barrier module for the first sound wave and increases the output power of the noise reduction speaker.

[0073] On the other hand, to ensure the server temperature does not exceed the temperature threshold, different noise reduction strategies are determined based on the difference between the server temperature and the temperature threshold. For example, if the server temperature is already above the temperature threshold, the focus is on cooling the server. Therefore, the channels formed by the noise barrier modules can be maximized to increase the cross-sectional area of ​​the server's cooling system's exhaust duct. If the difference between the server temperature and the temperature threshold is large, resulting in a lower server temperature, the focus is on reducing the noise generated by the server's cooling system. Therefore, the noise reduction device can reduce the channels formed by the noise barrier modules to a smaller size, decreasing the cross-sectional area of ​​the server's cooling system's exhaust duct and increasing the shielding area of ​​the noise barrier modules on the server's cooling system.

[0074] In some embodiments, different weights can be assigned to the spectral information of the first sound wave and the current temperature of the first device to obtain a combined noise reduction strategy. For example, the weight of the spectral information of the first sound wave is 0.3, and the weight of the current temperature of the first device is 0.7. Based on the noise reduction strategy 1 determined by the spectral information of the first sound wave, the channel area formed by the noise barrier module should be 0.3 square meters. Based on the noise reduction strategy 2 determined by the current temperature of the first device, the channel area formed by the noise barrier module should be 0.5 square meters. Therefore, the combined channel area formed by the noise barrier module should be 0.3*0.3+0.7*0.5=0.44 square meters.

[0075] In addition, other noise reduction strategies may be included, but specific ones are not limited here.

[0076] In this possible implementation, different noise reduction strategies can be adopted for different types of sound waves, which can achieve precise noise control, improve noise reduction efficiency, and enhance noise reduction effect.

[0077] In some embodiments, the first acoustic wave parameter includes the sound pressure level of the first acoustic wave. When determining the noise reduction parameter, the control module of the noise reduction device can first determine the target sound pressure level based on the current temperature of the first device, and then determine the noise reduction parameter based on the sound pressure level of the first acoustic wave and the target sound pressure level.

[0078] Understandably, the noise barrier module of the noise reduction device will affect the heat dissipation of the first device. Therefore, when adjusting the noise barrier module, the noise reduction device needs to consider its impact on the heat dissipation of the first device and avoid excessively affecting its heat dissipation capacity. Thus, the higher the current temperature of the first device, the more important heat dissipation becomes, and the less important noise reduction becomes, resulting in a higher target sound pressure level (i.e., a higher acceptable noise sound pressure level). Conversely, the lower the current temperature of the first device, the less important heat dissipation becomes, and the more important noise reduction becomes, resulting in a lower target sound pressure level (i.e., a lower acceptable noise sound pressure level).

[0079] For example, when the temperature of the first device is (20, 30) degrees Celsius, the coefficient between the target sound pressure level and the temperature of the first device is 1 dB / degree Celsius. For example, if the temperature of the first device is 25 degrees Celsius, the target sound pressure level is 25 dB. When the temperature of the first device is [30, 60] degrees Celsius, the coefficient between the target sound pressure level and the temperature of the first device is 0.9 dB / degree Celsius. For example, if the temperature of the first device is 50 degrees Celsius, the target sound pressure level is 45 dB. When the temperature of the first device is [61, 100] degrees Celsius, the coefficient between the target sound pressure level and the temperature of the first device is 0.8 dB / degree Celsius. For example, if the temperature of the first device is 80 degrees Celsius, the target sound pressure level is 64 dB. When the temperature of the first device is above 100 degrees Celsius, the target sound pressure level can be fixed at 80 dB.

[0080] The above is merely an example illustrating the correspondence between the current temperature of the first device and the target sound pressure level. Other correspondences may also exist, but are not limited here.

[0081] In this possible implementation, the target sound pressure level is determined by the current temperature of the first device, which avoids the target sound pressure level being too small (a small target sound pressure level corresponds to the need for strong noise reduction processing, which would affect the heat dissipation of the first device). While reducing the noise of the first device, the heat dissipation effect of the first device is guaranteed, avoiding the problem of heat dissipation failure of the first device due to excessive pursuit of noise reduction effect.

[0082] In this embodiment, while reducing the noise of the server's cooling system, it is also necessary to consider that the server temperature should not exceed a threshold. Therefore, the target sound pressure level can be determined based on different server temperatures. The lower the server temperature, the better the noise reduction processing can be, and the smaller the corresponding noise decibel target value; the higher the server temperature, the worse the noise reduction processing can be, and the larger the corresponding noise decibel target value.

[0083] Then, the noise reduction parameters can be determined based on the sound pressure level of the first sound wave and the target sound pressure level. The larger the difference between the sound pressure level of the first sound wave and the target sound pressure level, the more stringent the noise reduction processing needs to be, and therefore the stronger the noise reduction effect of the determined noise reduction parameters; the smaller the difference between the sound pressure level of the first sound wave and the target sound pressure level, the more lenient the noise reduction processing needs to be, and therefore the weaker the noise reduction effect of the determined noise reduction parameters.

[0084] In some embodiments, the target sound pressure level is different for different time periods. For example, the noise reduction effect of the determined noise reduction parameters is stronger for noise-sensitive periods (such as nighttime) and weaker for noise-insensitive periods (such as daytime).

[0085] In some embodiments, after determining the noise reduction parameters, the control module of the noise reduction device can also save the noise reduction parameters under different operating conditions to a historical database. When determining the noise reduction parameters, the control module can also determine the noise reduction parameters based on historical noise reduction parameters in the historical database and using machine learning algorithms.

[0086] In some embodiments, the control module of the noise reduction device can determine the noise reduction parameters and optimize the noise reduction strategy using machine learning algorithms such as linear regression, decision tree regression, gradient boosting tree, logistic regression, and deep Q network. The specific method is not limited here.

[0087] S203. The noise reduction device adjusts the shielding area of ​​the noise barrier module for the first sound wave according to the first parameter.

[0088] After determining the first parameter, the noise reduction device can adjust the shielding area of ​​the noise barrier module for the first sound wave according to the first parameter.

[0089] In some embodiments, such as Figure 3 As shown, the noise barrier module includes an adjustable mechanism. Different adjustment positions of the adjustable mechanism correspond to different shielding areas of the noise reduction channel. When the noise reduction device adjusts the shielding area of ​​the noise barrier module for the first sound wave according to the first parameter, it can adjust the position of the adjustable mechanism from the first position to the second position according to the first parameter. The shielding areas corresponding to the first position and the second position are different.

[0090] For example, the adjustable mechanism is an electric louver valve, which can be adjusted to different opening degrees according to the first parameter. During noise-sensitive periods or when the wind speed is high, the opening degree indicated by the corresponding first parameter is smaller, and the electric louver valve reduces its opening degree to enhance noise reduction; when the temperature of the first device is too high, the opening degree indicated by the corresponding first parameter is larger, and the electric louver valve increases its opening degree to prioritize heat dissipation.

[0091] In some embodiments, the shielding area of ​​the noise reduction channel can be the projected area of ​​the adjustable mechanism on the cross-section of the noise reduction channel. For example... Figure 4 The cross-section of the noise reduction channel shown indicates that when the position of the adjustable mechanism is adjusted from the first position to the second position, the corresponding shielding area changes from the first shielding area to the second shielding area.

[0092] In this possible implementation, by adjusting the shielding area of ​​the noise barrier module against the first sound wave, the noise reduction effect of the noise barrier module against the first sound wave can be adjusted. At the same time, the heat dissipation channel specifications of the first device can also be adjusted, which enhances the flexibility of the noise reduction device, improves the noise reduction efficiency, and enhances the noise reduction effect.

[0093] For example, the adjustable mechanism can be an electric louver valve, butterfly valve, or cyclone valve; the specific type is not limited here.

[0094] In some embodiments, such as Figure 3 As shown, the noise barrier module can include multiple barrier units, which can be standard components, each with a preset standard size. The multiple barrier units can be connected by magnetic or interlocking connections, allowing for rapid assembly.

[0095] In this possible implementation, multiple barrier units can be magnetically connected through magnetic connectors; or they can be locked together through locking connectors. The barrier units can be quickly assembled, which improves the flexibility and scalability of the noise reduction device and reduces the deployment cost and difficulty of the noise reduction device.

[0096] In some embodiments, the noise barrier module is a multi-layer composite structure composed of multiple materials, including at least one of a low-to-mid frequency noise reduction structure, a broadband sound absorption structure, a high frequency sound insulation structure, and a cavity structure.

[0097] For example, the multi-layer composite structure includes a low-frequency noise reduction structure, a broadband sound absorption structure, a high-frequency sound insulation structure, and a cavity structure. The low-frequency noise reduction structure can be a perforated plate or a micro-perforated plate targeting low-frequency sound waves. The broadband sound absorption structure can be centrifugal glass wool / rock wool. The high-frequency sound insulation structure can be a damping sound insulation structure or a high-density sound insulation board. The cavity structure can be a Helmholtz resonator structure, a plate / membrane resonant sound absorption structure, or a distributed cavity structure, etc. In addition, it can include more structures, which are not limited here.

[0098] In this possible approach, a multi-layered composite structure is used to achieve effective noise reduction for a wide frequency band, applicable to noise in various frequency bands, improving noise reduction efficiency and enhancing noise reduction effect.

[0099] In some embodiments, the plurality of barrier units form a noise reduction channel, one end of which is opposite to the sound source of the first sound wave, and the other end of which is an air outlet.

[0100] For example Figure 3 As shown, one end of the noise reduction channel is opposite the air outlet of the refrigeration equipment (the source of the first sound wave), and the other end of the noise reduction channel is the air outlet.

[0101] In some embodiments, to improve the noise reduction effect, the noise reduction channel can be a noise reduction channel where sound waves cannot propagate in a straight line and can only propagate through refraction and / or reflection, for example... Figure 3 The L-shaped channel shown can be replaced with other types of channels, such as U-shaped channels, but this is not a specific limitation here.

[0102] In this possible implementation, a noise reduction channel is formed by multiple barrier units, which ensures smooth airflow while effectively blocking noise from spreading outward.

[0103] In some embodiments, the noise reduction device further includes a noise reduction speaker, and the noise reduction parameters further include a second parameter. The noise reduction method provided in this application embodiment may further include step S204:

[0104] S204. The noise reduction device generates a second sound wave through a noise reduction speaker according to the second parameter. The propagation path of the second sound wave is the same as that of the first sound wave, and the phase of the second sound wave is opposite to that of the first sound wave.

[0105] In some embodiments, in order to achieve the cancellation effect of the second sound wave on the first sound wave, the second sound wave is out of phase with the first sound wave, the propagation direction of the second sound wave is the same as that of the first sound wave, and the amplitude of the second sound wave is the same as that of the first sound wave.

[0106] In some embodiments, for low-frequency noise (e.g., low-frequency tonal noise), the noise reduction device can install an active noise-canceling speaker in the noise reduction channel composed of a noise barrier module, collect the remaining sound waves after noise reduction by the noise barrier module through a microphone, and generate a corresponding second sound wave with opposite phase, same propagation direction and same amplitude. The first sound wave and the second sound wave have the same propagation path in the noise reduction device, thereby canceling out the sound waves, which can effectively reduce low-frequency sound waves and reduce noise.

[0107] In some embodiments, such as Figure 3 As shown, the active noise-canceling speaker of the noise reduction device can be installed in the noise reduction channel. After the first sound wave is processed by the noise barrier module, the noise-canceling speaker performs noise reduction processing on the first sound wave again, which further improves the noise reduction effect of the noise reduction device.

[0108] In this possible implementation, low-frequency noise is effectively reduced by using a noise-canceling speaker, thereby improving noise reduction efficiency and enhancing the noise reduction effect.

[0109] The first sound wave in this embodiment is the sound wave to be noise-reduced. After being refracted and / or reflected by the noise barrier module, it propagates to the vicinity of the noise-reducing speaker and is also the first sound wave.

[0110] In this embodiment of the application, the execution order of steps 203 and 204 is not limited. That is, step 203 can be executed first or step 204 can be executed first. The specific order is not limited here.

[0111] Figure 5 This is a schematic diagram of the structure of a noise reduction device provided in an embodiment of this application, as shown below. Figure 5 As shown, the noise reduction device 500 provided in this embodiment includes:

[0112] Control module 501 is used to acquire environmental information, including the current temperature of the first device and the first sound wave parameters corresponding to the first sound wave; and to determine noise reduction parameters based on the current temperature of the first device and the first sound wave parameters. The noise reduction parameters include a first parameter, and the target temperature of the first device corresponding to the first parameter is less than or equal to a temperature threshold.

[0113] The noise barrier module 502 is used to adjust the shielding area for the first sound wave according to the first parameter.

[0114] In one possible implementation, the noise reduction device further includes a noise reduction speaker 503, which generates a second sound wave according to a second parameter. The second sound wave has the same propagation path as the first sound wave and the second sound wave has the same phase as the first sound wave.

[0115] In one possible implementation, the first acoustic wave parameters include the spectrum information of the first acoustic wave. The control module 501 is specifically used to: determine a corresponding first noise reduction strategy among multiple noise reduction strategies based on the spectrum information of the first acoustic wave and / or the current temperature of the first device; and determine noise reduction parameters based on the first noise reduction strategy, according to the current temperature of the first device and the first acoustic wave parameters.

[0116] In one possible implementation, the control module 501 is further configured to: determine the corresponding first sound wave type from multiple candidate sound wave types based on the spectrum information of the first sound wave and / or the current temperature of the first device, wherein the multiple candidate sound wave types correspond to multiple noise reduction strategies; and determine the noise reduction strategy corresponding to the first sound wave type as the first noise reduction strategy from among the multiple noise reduction strategies.

[0117] In one possible implementation, the first sound wave parameters include the sound pressure level of the first sound wave. The control module 501 is further configured to: determine the target sound pressure level based on the current temperature of the first device; and determine noise reduction parameters based on the sound pressure level of the first sound wave and the target sound pressure level.

[0118] In one possible implementation, the environmental information also includes wind speed, air pressure, air humidity, and vibration information. The control module 501 is specifically used to determine the noise reduction parameters based on the wind speed, air pressure, vibration information, the current temperature of the first device, and the first sound wave parameters.

[0119] In one possible implementation, the second sound wave propagates in the same direction as the first sound wave.

[0120] In one possible implementation, the noise barrier module includes multiple barrier units, and the connection between the multiple barrier units is a magnetic connection or a latching connection.

[0121] In one possible implementation, the noise barrier module is a multi-layer composite structure composed of multiple materials, including at least one of a low-to-mid frequency noise reduction structure, a broadband sound absorption structure, a high frequency sound insulation structure, and a cavity structure.

[0122] In one possible implementation, multiple barrier units form a noise reduction channel, with one end of the noise reduction channel facing the direction of the sound source of the first sound wave.

[0123] In one possible implementation, the noise barrier module includes an adjustable mechanism, and different adjustment positions of the adjustable mechanism correspond to different shielding areas of the noise reduction channel. The noise barrier module 502 is further used to: adjust the position of the adjustable mechanism from a first position to a second position according to a first parameter.

[0124] The noise reduction device provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0125] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 6 As shown, the electronic device 60 may include a memory 601 and a processor 602. Optionally, the electronic device may also include a transceiver 603, wherein the memory 601 and the processor 602 communicate; for example, the memory 601, the processor 602 and the transceiver 603 may communicate via a communication bus 604, the memory 601 is used to store a computer program, and the processor 602 executes the computer program to implement the method of the above embodiments.

[0126] Optionally, the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps in the method embodiments disclosed in this application can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0127] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the methods in any of the above method embodiments.

[0128] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the methods in any of the above method embodiments.

[0129] All or part of the steps in the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable memory. When the program is executed, it performs the steps of the above method embodiments; and the aforementioned memory (storage medium) includes: read-only memory (ROM), RAM, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof.

[0130] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processing unit of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0131] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0132] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0133] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.

[0134] In this application, the term "comprising" and its variations can refer to non-limiting inclusion; the term "or" and its variations can refer to "and / or". The terms "first", "second", etc., in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. In this application, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0135] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0136] It should be further noted that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0137] It should be understood that the above-described device embodiments are merely illustrative, and the device of this application can also be implemented in other ways. For example, the division of units / modules in the above embodiments is only a logical functional division, and there may be other division methods in actual implementation. For example, multiple units, modules, or components may be combined, or integrated into another system, or some features may be ignored or not executed.

[0138] Furthermore, unless otherwise specified, the functional units / modules in the various embodiments of this application can be integrated into one unit / module, or each unit / module can exist physically separately, or two or more units / modules can be integrated together. The integrated units / modules described above can be implemented in hardware or as software program modules.

[0139] When integrated units / modules are implemented in hardware, the hardware can be digital circuits, analog circuits, etc. The physical implementation of the hardware structure includes, but is not limited to, transistors, memristors, etc. Unless otherwise specified, the processor can be any suitable hardware processor, such as a CPU, GPU, FPGA, DSP, and ASIC, etc. Unless otherwise specified, the storage unit can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc.

[0140] If the integrated unit / module is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0141] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0142] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0143] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A noise reduction method applied to a noise reduction device, the noise reduction device comprising a noise barrier module, characterized in that, Acquire environmental information, including the current temperature of the first device and the first sound wave parameters corresponding to the first sound wave; The noise reduction parameters are determined based on the current temperature of the first device and the first acoustic parameters. The noise reduction parameters include a first parameter, and the target temperature of the first device corresponding to the first parameter is less than or equal to a temperature threshold. The shielding area of ​​the noise barrier module for the first sound wave is adjusted according to the first parameter.

2. The method of claim 1, wherein, The noise reduction device further includes a noise-reducing speaker, the noise reduction parameters further include a second parameter, and the method further includes: According to the second parameter, a second sound wave is generated through the noise-canceling speaker. The second sound wave has the same propagation path as the first sound wave, and the phase of the second sound wave is opposite to that of the first sound wave.

3. The method of claim 2, wherein, The first acoustic wave parameters include the spectral information of the first acoustic wave. The step of determining the noise reduction parameters based on the current temperature of the first device and the first acoustic wave parameters includes: Based on the spectral information of the first sound wave and / or the current temperature of the first device, determine the corresponding first noise reduction strategy among multiple noise reduction strategies; Based on the first noise reduction strategy, the noise reduction parameters are determined according to the current temperature of the first device and the first acoustic parameters.

4. The method of claim 3, wherein, The step of determining the corresponding first noise reduction strategy among multiple noise reduction strategies based on the spectral information of the first sound wave and / or the current temperature of the first device includes: Based on the spectral information of the first sound wave and / or the current temperature of the first device, a corresponding first sound wave type is determined from multiple candidate sound wave types, and the multiple candidate sound wave types correspond to multiple noise reduction strategies; Among the multiple noise reduction strategies, the noise reduction strategy corresponding to the first sound wave type is determined to be the first noise reduction strategy.

5. The method of claim 4, wherein, The first acoustic wave parameter includes the sound pressure level of the first acoustic wave, and the step of determining the noise reduction parameters based on the current temperature of the first device and the first acoustic wave parameter includes: The target sound pressure level is determined based on the current temperature of the first device; The noise reduction parameters are determined based on the sound pressure level of the first sound wave and the target sound pressure level.

6. The method of claim 5, wherein, The environmental information also includes wind speed, air pressure, air humidity, and vibration information. The step of determining the noise reduction parameters based on the current temperature of the first device and the first sound wave parameters includes: The noise reduction parameters are determined based on wind speed, air pressure, vibration information, the current temperature of the first device, and the first sound wave parameters.

7. The method of claim 6, wherein, The propagation direction of the second sound wave is the same as that of the first sound wave.

8. The method according to any one of claims 1 to 7, characterized in that, The noise barrier module includes multiple barrier units, and the multiple barrier units are connected by magnetic connection or latching connection.

9. The method according to claim 8, characterized in that, The noise barrier module is a multi-layer composite structure composed of multiple materials, including at least one of a low-to-medium frequency noise reduction structure, a broadband sound absorption structure, a high-frequency sound insulation structure, and a cavity structure.

10. The method according to claim 9, characterized in that, The plurality of barrier units form a noise reduction channel, one end of which is opposite to the sound source direction of the first sound wave.

11. The method according to claim 10, characterized in that, The noise barrier module includes an adjustable mechanism, and different adjustment positions of the adjustable mechanism correspond to different shielding areas of the noise reduction channel. Adjusting the shielding area of ​​the noise barrier module for the first sound wave according to the first parameter includes: The position of the adjustable mechanism is adjusted from the first position to the second position according to the first parameter.

12. A noise reduction device, characterized in that, The device includes: The control module is used to acquire environmental information, including the current temperature of the first device and the first sound wave parameters corresponding to the first sound wave; and to determine noise reduction parameters based on the current temperature of the first device and the first sound wave parameters, wherein the noise reduction parameters include a first parameter, and the target temperature of the first device corresponding to the first parameter is less than or equal to a temperature threshold. A noise barrier module is used to adjust the shielding area for the first sound wave according to the first parameter.

13. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 11.

14. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 11.

15. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 11.

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