CN116221160A - Fan noise adjusting method and device, head-mounted display device and storage medium - Google Patents
Fan noise adjusting method and device, head-mounted display device and storage medium Download PDFInfo
- Publication number
- CN116221160A CN116221160A CN202310031604.1A CN202310031604A CN116221160A CN 116221160 A CN116221160 A CN 116221160A CN 202310031604 A CN202310031604 A CN 202310031604A CN 116221160 A CN116221160 A CN 116221160A
- Authority
- CN
- China
- Prior art keywords
- fan
- noise
- bark domain
- noise intensity
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 230000007613 environmental effect Effects 0.000 claims abstract description 63
- 230000008447 perception Effects 0.000 claims abstract description 16
- 230000005236 sound signal Effects 0.000 claims description 54
- 238000001228 spectrum Methods 0.000 claims description 29
- 230000004044 response Effects 0.000 claims description 22
- 230000006870 function Effects 0.000 claims description 21
- 210000005069 ears Anatomy 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 4
- 230000017525 heat dissipation Effects 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 10
- 230000000873 masking effect Effects 0.000 description 16
- 238000006243 chemical reaction Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 229920002430 Fibre-reinforced plastic Polymers 0.000 description 5
- 239000002131 composite material Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000011151 fibre-reinforced plastic Substances 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 230000001105 regulatory effect Effects 0.000 description 2
- GNFTZDOKVXKIBK-UHFFFAOYSA-N 3-(2-methoxyethoxy)benzohydrazide Chemical compound COCCOC1=CC=CC(C(=O)NN)=C1 GNFTZDOKVXKIBK-UHFFFAOYSA-N 0.000 description 1
- YTAHJIFKAKIKAV-XNMGPUDCSA-N [(1R)-3-morpholin-4-yl-1-phenylpropyl] N-[(3S)-2-oxo-5-phenyl-1,3-dihydro-1,4-benzodiazepin-3-yl]carbamate Chemical compound O=C1[C@H](N=C(C2=C(N1)C=CC=C2)C1=CC=CC=C1)NC(O[C@H](CCN1CCOCC1)C1=CC=CC=C1)=O YTAHJIFKAKIKAV-XNMGPUDCSA-N 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000191 radiation effect Effects 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/004—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids by varying driving speed
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20009—Modifications to facilitate cooling, ventilating, or heating using a gaseous coolant in electronic enclosures
- H05K7/20136—Forced ventilation, e.g. by fans
- H05K7/20172—Fan mounting or fan specifications
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20009—Modifications to facilitate cooling, ventilating, or heating using a gaseous coolant in electronic enclosures
- H05K7/20209—Thermal management, e.g. fan control
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2270/00—Control
- F05D2270/30—Control parameters, e.g. input parameters
- F05D2270/333—Noise or sound levels
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Thermal Sciences (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Optics & Photonics (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
The invention discloses a fan noise adjusting method, a device, head-mounted display equipment and a storage medium, wherein the method comprises the following steps: acquiring a recommended fan rotating speed corresponding to a fan, and determining a target bark domain signal corresponding to environmental noise of an environment where the fan is located; inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model for model training, and outputting to obtain a fan noise intensity value; detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value or not; and after the fan noise intensity value is not matched with a preset perceived noise intensity threshold value, adjusting the actual fan rotating speed of the fan until the adjusted noise intensity value is detected to be matched with the perceived noise intensity threshold value. The invention can reduce the noise intensity of the fan perceived by a user while ensuring the heat dissipation effect of the fan.
Description
Technical Field
The present invention relates to the field of fan technologies, and in particular, to a method and an apparatus for adjusting noise of a fan, a head-mounted display device, and a storage medium.
Background
Currently, for a head-mounted display device with a fan, the requirements of users on noise and heat dissipation performance of the fan are increasing. The Bark domain is a psychological scale of sound which is proposed earlier, and noise generated when a fan radiates heat and rotates is difficult to be tolerated by a user in certain application scenes, but if the rotating speed of the fan is directly reduced, equipment is overheated, and the heat radiation effect is reduced. Therefore, how to reduce the noise intensity of the fan perceived by the user while ensuring the heat dissipation effect of the fan is an urgent problem to be solved at present.
Disclosure of Invention
The invention mainly aims to provide a fan noise adjusting method, a device, head-mounted display equipment and a storage medium, and aims to solve the technical problem of how to reduce the fan noise intensity perceived by a user while guaranteeing the heat dissipation effect of a fan.
In order to achieve the above object, the present invention provides a fan noise adjustment method applied to a head-mounted display device in which a fan is provided, the fan noise adjustment method including the steps of:
acquiring a recommended fan rotating speed corresponding to the fan, and converting environmental noise of an environment where the fan is positioned into a bark domain to obtain a target bark domain signal;
Inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model for model training, and outputting to obtain a fan noise intensity value;
detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value or not;
and after the fan noise intensity value is not matched with a preset perceived noise intensity threshold value, adjusting the actual fan rotating speed of the fan until the adjusted noise intensity value is detected to be matched with the perceived noise intensity threshold value.
Optionally, the step of adjusting the actual fan speed of the fan includes:
after the fan noise intensity value is smaller than the perceived noise intensity threshold value, converting a first difference value between the perceived noise intensity threshold value and the fan noise intensity value according to a preset conversion factor to obtain a first rotating speed;
and adjusting the actual rotating speed of the fan according to the sum value of the first rotating speed and the recommended rotating speed of the fan.
Optionally, the step of adjusting the actual fan speed of the fan includes:
after the fan noise intensity value is larger than the perceived noise intensity threshold value, converting a second difference value between the fan noise intensity value and the perceived noise intensity threshold value according to a preset conversion factor to obtain a second rotating speed;
And adjusting the actual rotating speed of the fan according to the difference between the recommended rotating speed of the fan and the second rotating speed.
Optionally, a speaker is disposed in the head-mounted display device, and the step of converting environmental noise of an environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
after detecting that a loudspeaker exists in the head-mounted display device and a microphone does not exist, converting an audio signal played by the loudspeaker into a bark domain as environmental noise to obtain a target bark domain signal;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a bark domain response signal corresponding to the frequency response of an audio signal transmitted to human ears by the loudspeaker and a preset fan noise bark domain spectrum.
Optionally, a microphone is disposed in the head-mounted display device, and the step of converting environmental noise of an environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
After detecting that a microphone exists in the head-mounted display device and a loudspeaker does not exist, converting an audio signal collected by the microphone into a bark domain as environmental noise to obtain a target bark domain signal;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum and a bark domain transfer function of an audio signal collected by the microphone to be transferred to human ears.
Optionally, a microphone and a speaker are simultaneously disposed in the head-mounted display device, and the step of converting environmental noise of an environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
the audio signals played by the loudspeaker and the audio signals collected by the microphone are converted into a bark domain as environmental noise, so that target bark domain signals are obtained;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum, a bark domain transfer function and a bark domain response signal.
Optionally, before the step of detecting whether the fan noise intensity value matches a preset perceived noise intensity threshold, the method includes:
and acquiring a preset perceived fan noise intensity threshold curve, and determining a perceived noise intensity threshold value corresponding to the recommended fan rotating speed in the perceived fan noise intensity threshold curve.
In addition, in order to achieve the above object, the present invention also provides a fan noise adjustment device, which is provided in a head-mounted display apparatus in which a fan is provided, the fan noise adjustment device comprising:
the acquisition module is used for acquiring the recommended fan rotating speed corresponding to the fan, converting the environmental noise of the environment where the fan is positioned into a bark domain, and obtaining a target bark domain signal;
the model training module is used for inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model to perform model training, and outputting to obtain a fan noise intensity value;
the detection module is used for detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value or not;
and the adjusting module is used for adjusting the actual fan rotating speed of the fan after the fan noise intensity value is not matched with the preset perception noise intensity threshold value until the adjusted noise intensity value is detected to be matched with the perception noise intensity threshold value.
In addition, in order to achieve the above object, the present invention also provides a head-mounted display device, which includes a memory, a processor, and a fan noise adjustment program stored on the memory and executable on the processor, the fan noise adjustment program implementing the steps of the fan noise adjustment method as described above when executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a storage medium, on which a fan noise adjustment program is stored, which when executed by a processor, implements the steps of the fan noise adjustment method described above.
According to the invention, the target bark domain signal corresponding to the recommended fan rotating speed and the environmental noise is input into the fan noise model for model training, the fan noise intensity value is obtained by output, and after the fan noise intensity value is not matched with the perceived noise intensity threshold value, the actual fan rotating speed is adjusted until the adjusted fan noise intensity value is matched with the perceived noise intensity threshold value, so that the phenomenon that the fan noise emitted by a user is difficult to tolerate when the fan dissipates heat can be avoided, and the fan noise intensity value is adjusted to be matched with the perceived noise intensity threshold value, so that the fan noise intensity perceived by the user can be reduced through the masking effect of the environmental noise on the fan noise while the fan heat dissipation effect is ensured.
Drawings
FIG. 1 is a schematic diagram of a head mounted display device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a fan noise adjustment method according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of a head mounted display device in a fan noise adjustment method of the present invention;
FIG. 4 is a flow chart of optimizing fan noise in the fan noise adjustment method of the present invention;
FIG. 5 is a schematic diagram of a perceived fan noise model in a fan noise adjustment method of the present invention;
fig. 6 is a schematic block diagram of a fan noise adjusting device according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides a head-mounted display device, and referring to fig. 1, fig. 1 is a schematic structural diagram of a system hardware operation environment related to an embodiment of the head-mounted display device.
As shown in fig. 1, the head mounted display device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage system separate from the processor 1001 described above.
Those skilled in the art will appreciate that the hardware configuration of the head mounted display device shown in fig. 1 does not constitute a limitation of the head mounted display device, and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a fan noise adjustment program may be included in the memory 1005 as one type of readable storage medium. The operating system is a program for managing and controlling the fan noise-based adjusting equipment and software resources, and supports the operation of a network communication module, a user interface module, the fan noise-based adjusting program and other programs or software; the network communication module is used to manage and control the network interface 1004; the user interface module is used to manage and control the user interface 1003.
In the hardware structure of the head-mounted display device shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the processor 1001 may call a fan noise adjustment program stored in the memory 1005 and perform the following operations:
Acquiring a recommended fan rotating speed corresponding to the fan, and converting environmental noise of an environment where the fan is positioned into a bark domain to obtain a target bark domain signal;
inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model for model training, and outputting to obtain a fan noise intensity value;
detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value or not;
and after the fan noise intensity value is not matched with a preset perceived noise intensity threshold value, adjusting the actual fan rotating speed of the fan until the adjusted noise intensity value is detected to be matched with the perceived noise intensity threshold value.
Referring to fig. 2, the present invention provides a fan noise adjustment method, which is applied to a head-mounted display device in which a fan is provided, in a first embodiment of the fan noise adjustment method, the fan noise adjustment method comprising the steps of:
step S10, acquiring a recommended fan rotating speed corresponding to the fan, and converting environmental noise of an environment where the fan is positioned into a bark domain to obtain a target bark domain signal;
since the human ear is able to distinguish slight sounds in a silent environment, but in a noisy environment, these slight sounds are drowned out by the noise, creating a masking effect. Therefore, in the embodiment, the noise generated by the fan in the head-mounted display device is masked by using the environmental noise of the surrounding environment of the head-mounted display device, so that the perception of the fan noise by the user is reduced, and the user experience is improved. For example, noise generated by a fan in a head mounted display device is masked by the speaker and the surrounding environment in the head mounted display device. Wherein the masking effect includes frequency domain masking and time domain masking. In this embodiment only frequency domain masking is illustrated. And because a strong tone in the same frequency domain masks the weak tone of the accessory with which it is sounding at the same time. Therefore, when the environmental noise and the fan noise are detected and the environmental noise is strong and the fan noise is weak, the fan noise can be masked by the environmental noise, so that the user cannot perceive the fan noise. The head-mounted display device may include a smart device with a fan, such as VR glasses.
And the fan speed in relation to conventional head mounted display devices is only dependent on the temperature of the head mounted display device. In this embodiment, by using the masking effect of the human ear, when the environmental noise of the environment where the head-mounted display device is located is high and the fan noise is in the same bark, the perceived fan noise spectrum and the fan noise intensity perceived by the user are calculated by analyzing the sound pressure level of the environmental noise around the head-mounted display device, the sound pressure level played by the speaker of the device, and the real-time wind speed of the fan in real time. Through this fan noise intensity adjustment fan rotational speed, reduce user perceived fan noise intensity, improve and use experience.
In this embodiment, the fan noise is reduced while the heat dissipation effect of the fan in the head-mounted display device is ensured. The recommended fan speed corresponding to the current temperature may be obtained first. The recommended fan speed may be a fan speed that the user or the head mounted display device expects the fan to reach under the current temperature or the like. And the recommended fan speed may include a theoretical fan speed and an actual fan speed. If the recommended fan speed is the theoretical fan speed, that is, the fan speed that the head-mounted display device wishes to achieve, the recommended fan speed may be taken as the recommended fan speed before the fan has not yet run to the theoretical fan speed. For example, when the temperature is detected to be too high in the head-mounted display device, the fan rotation speed needs to be adjusted to be higher than the current temperature, and the fan rotation speed corresponding to the current temperature can be used as the recommended fan rotation speed. Or the fan rotating speed is detected to be too high in the head-mounted display device, the fan rotating speed needs to be regulated down, and the fan rotating speed after the fan rotating speed is regulated down can be used as the recommended fan rotating speed. Or receiving a specified fan speed input by a user, the specified fan speed may be used as the recommended fan speed.
If the recommended fan speed is the actual fan speed, the current running speed of the fan in the head-mounted display device can be directly collected and used as the recommended fan speed.
In this embodiment, the masking effect is used to reduce the perception of the fan noise by the user, so as to achieve the purpose of reducing the fan noise while ensuring the heat dissipation effect of the fan in the head-mounted display device. Therefore, the recommended fan rotation speed corresponding to the fan is obtained, and meanwhile, the environmental noise of the environment is also required to be obtained, so that the fan noise is masked through the environmental noise.
In this embodiment, the environmental noise needs to be converted into the bark domain, that is, the environmental noise is converted into the bark domain, so as to obtain the target bark domain signal corresponding to the environmental noise. Wherein, because the human ear structure resonates 24 frequency points, the signal also presents 24 critical frequency bands on the frequency band, namely, the bark domain from 1 to 24 respectively. And the ambient noise may be sound generated by the head mounted display device itself, such as game speech, etc. Or may be sound generated by the surrounding environment. In this embodiment, the sound generated by the rotation of the fan may be used as the fan noise, and the other sounds perceived by the head-mounted display device may be used as the environmental noise. For example, if a microphone and a speaker are mounted in the head-mounted display device, both the audio signal output from the speaker and the audio signal collected by the microphone may be used as the environmental noise.
Step S20, inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model for model training, and outputting to obtain a fan noise intensity value;
in this embodiment, a model for calculating the fan noise intensity perceived by the user, i.e. a fan noise model, is provided, and the fan noise model is trained in advance and can be analyzed in real time for input and output.
For example, when a fan, a speaker, and a microphone are present in the head-mounted display device, the bark domain spectrum F of noise acceptable to human ears at different rotational speeds of the fan in the head-mounted display device may be set first 1 (f, rpm), wherein rpm is the fan speed; loudspeaker-to-human ear bark domain response signal H 1 (f) And a transfer function H of the microphone to the audio signal of the human ear in the bark domain 2 (f) A. The invention relates to a method for producing a fibre-reinforced plastic composite Wherein, bark domain spectrum F 1 (f, rpm), bark domain response signal H 1 (f) And transfer function H 2 (f) The device can be set to a fixed value, and can also be adjusted according to the requirements of users. And training the model parameters serving as model parameters of the fan noise model to obtain a pre-trained fan noise intensity model. At this time, the fan noise intensity model is:
wherein L is the fan noise intensity value. R is the recommended fan speed. F (F) 1 (f, R) is the bark domain spectrum of noise acceptable to the human ear at the recommended fan speed. f is the critical band in the bark domain. S is S 1 (f) And S is 2 (f) Is a target bark domain signal, and S 1 (f) Can be the signal generated by the audio signal output by the loudspeaker after the bark domain conversion, S 2 (f) Is the signal generated by the audio signal collected by the microphone after being subjected to the bark domain conversion.
For example, when there are a fan and a speaker in the head-mounted display device and no microphone, the bark domain spectrum F of noise acceptable to human ears at different rotational speeds of the fan in the head-mounted display device may be set first 1 (f, rpm), wherein rpm is the fan speed; loudspeaker to human ear bark domainResponse signal H 1 (f) A. The invention relates to a method for producing a fibre-reinforced plastic composite Wherein, bark domain spectrum F 1 (f, rpm) and bark domain response signal H 1 (f) The device can be set to a fixed value, and can also be adjusted according to the requirements of users. And training the model parameters serving as model parameters of the fan noise model to obtain a pre-trained fan noise intensity model. And at this time the target bark domain signal is S 1 (f)。
For example, when there are a fan and a microphone in the head-mounted display device and no speaker, the bark domain spectrum F of noise acceptable to human ears at different rotational speeds of the fan in the head-mounted display device may be set first 1 (f, rpm), wherein rpm is the fan speed; transfer function H of microphone to human ear audio signal in bark domain 2 (f) A. The invention relates to a method for producing a fibre-reinforced plastic composite Wherein, bark domain spectrum F 1 (f, rpm) and transfer function H 2 (f) The device can be set to a fixed value, and can also be adjusted according to the requirements of users. And training the model parameters serving as model parameters of the fan noise model to obtain a pre-trained fan noise intensity model. And at this time the target bark domain signal is S 2 (f)。
Therefore, after the recommended fan speed and the target bark domain signal are obtained, model conversion may be performed according to the target bark domain signal, that is, a fan noise model corresponding to the target bark domain signal may be selected. And inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model for model training, and outputting to obtain a fan noise intensity value.
Step S30, detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value;
in this embodiment, the threshold value of perceived noise intensity may be set to a fixed value or may be set to a dynamic value, which may be specifically set according to the user requirement. After the fan noise intensity value is obtained through the fan noise intensity model, the fan noise intensity value and the perceived noise intensity threshold value can be compared, and if the fan noise intensity value and the perceived noise intensity threshold value are consistent, the fan noise intensity value and the perceived noise intensity threshold value are determined to be matched. If the fan noise intensity value and the perceived noise intensity threshold value are inconsistent, the fan noise intensity value and the perceived noise intensity threshold value are not matched.
Further, before the step of detecting whether the fan noise intensity value matches the preset perceived noise intensity threshold in step S30, the method includes:
step x, obtaining a preset perceived fan noise intensity threshold curve, and determining a perceived noise intensity threshold value corresponding to the recommended fan rotating speed in the perceived fan noise intensity threshold curve.
In this embodiment, the perceived noise intensity threshold value needs to be acquired as well. Since different noise is generated by the fan at different speeds in the head-mounted display device, the perceived fan noise intensity threshold curve can be set in advance according to different fan speeds of the fan and the fan noise generated by the fan at different fan speeds. The threshold curve of the perceived fan noise intensity comprises the fan rotating speed and a threshold value of the perceived noise intensity corresponding to the fan rotating speed.
After the perceived fan noise intensity threshold curve is obtained, the recommended fan speed can be matched with each fan speed in the fan noise intensity threshold curve to determine the fan speed matched with the recommended fan speed, the perceived noise intensity threshold value corresponding to the matched fan speed in the fan noise intensity threshold curve is used as a preset perceived noise intensity threshold value, and then the step of detecting whether the fan noise intensity value is matched with the preset perceived noise intensity threshold value is performed.
Step S40, adjusting the actual fan rotation speed of the fan after the fan noise intensity value is not matched with the preset perceived noise intensity threshold value.
After detecting that the fan noise intensity value and the perceived noise intensity threshold value do not match, the actual fan speed of the fan may be adjusted. The actual fan rotational speed may be a rotational speed of the fan when the fan is running at the current time. And the manner of adjustment may include increasing the fan speed, or decreasing the fan speed. And after the actual fan rotation speed of the fan is adjusted, the step S10 can be continuously executed with the adjusted actual fan rotation speed as the recommended fan rotation speed until the fan noise intensity value and the perceived noise intensity threshold value are detected to be matched.
In addition, to assist in understanding the principles of fan noise adjustment described above, an example is described below.
For example, as shown in fig. 3, the head-mounted display device includes a radiator fan, a talk microphone, and a speaker. Firstly, setting a bark domain spectrum F of noise acceptable by human ears under different rotation speeds of fans in head-mounted display equipment 1 (f, rpm), wherein rpm is the fan speed; loudspeaker-to-human ear bark domain response signal H 1 (f) And a transfer function H of the audio signal of the conversation microphone to the human ear in the bark domain 2 (f) A. The invention relates to a method for producing a fibre-reinforced plastic composite And according to the parameters and transfer functions of the model requirements are collected as shown in FIG. 4, wherein the parameters and transfer functions include the bark domain spectrum F 1 (f, rpm), bark domain response signal H 1 (f) And transfer function H 2 (f) Etc. And acquire speaker output S in real time 1 (f) Microphone input S 2 (f) And recommending the fan rotating speed R, calculating the perceived fan noise intensity L in real time, and detecting whether L is larger than L_limit. If the speed is larger than the preset speed, the fan rotating speed is increased, and if the speed is smaller than the preset speed, the fan rotating speed is reduced. The model may be a perceived fan noise model, among other things. As shown in fig. 5, the perceived fan noise model is:
and model parameters consistent with each product are determined in advance, wherein the model parameters comprise a perceived fan noise intensity threshold value L_limit (namely a perceived noise intensity threshold value) at each fan rotating speed, and the rotating speed-intensity difference conversion factor k. And suggesting different model-required transfer functions, such as fan noise bark spectrum F, for each product 1 (f, rpm), speaker bark domain response H 1 (f) And a microphone-to-human ear bark domain transfer function H 2 (f) A. The invention relates to a method for producing a fibre-reinforced plastic composite And requires real-time acquired model inputs, including: recommended fan speed R at current temperature, downlink output bark domain signal S 1 (f) And an uplink input bark domain signal S 2 (f) And after model training, outputting to obtain the perceived fan noise L.
In this embodiment, a target bark domain signal corresponding to the recommended fan speed and the environmental noise is input into a fan noise model for model training, a fan noise intensity value is obtained by output, and after the fan noise intensity value is not matched with a perceived noise intensity threshold value, the actual fan speed is adjusted until the adjusted fan noise intensity value is matched with the perceived noise intensity threshold value, so that the phenomenon that the fan noise emitted during fan heat dissipation is difficult for a user to tolerate can be avoided, and the fan noise intensity value is adjusted to be matched with the perceived noise intensity threshold value, so that the fan noise intensity perceived by the user can be reduced through the masking effect of the environmental noise on the fan noise while the fan heat dissipation effect is ensured.
Further, based on the first embodiment of the present invention, a second embodiment of the fan noise adjustment method of the present invention is provided, in this embodiment, step S40 of the above embodiment, the step of thinning the step of adjusting the actual fan rotation speed of the fan includes:
step a, after the fan noise intensity value is smaller than the perceived noise intensity threshold value, converting a first difference value between the perceived noise intensity threshold value and the fan noise intensity value according to a preset conversion factor to obtain a first rotating speed;
And b, adjusting the actual rotating speed of the fan according to the sum value of the first rotating speed and the recommended rotating speed of the fan.
In this embodiment, after detecting that the fan noise intensity value and the perceived noise intensity threshold are not matched and detecting that the fan noise intensity value is smaller than the perceived noise intensity threshold, the fan rotation speed may be increased to increase the heat dissipation effect. In order to ensure that the masking effect of the environmental noise on the fan noise is optimal, an adjusting value for adjusting the rotating speed of the fan can be set, and then a conversion factor which is set in advance can be acquired. The conversion factor may be a conversion factor between the rotational speed and the intensity difference. The difference in intensity between the perceived noise intensity threshold value and the fan noise intensity value may be determined first and taken as a first difference. And converting the first difference value by a conversion factor, and taking the converted rotating speed as a first rotating speed. At this time, the first rotational speed may be continuously increased based on the recommended rotational speed of the fan, and the actual rotational speed of the fan (i.e., the actual rotational speed of the fan) may be increased and adjusted, that is, the actual rotational speed of the fan may be increased and adjusted to be equal to the sum of the recommended rotational speed of the fan and the first rotational speed. For example, if the fan noise intensity value is L, the perceived noise intensity threshold value is l_limit (R), the recommended fan speed is R, and the conversion factor is k, the sum between the first speed and the recommended fan speed is: r+k (L_limit (R) -L). The actual rotational speed of the fan is then adjusted to R+k (L_limit (R) -L).
In this embodiment, after the fan noise intensity value is smaller than the perceived noise intensity threshold value, the first rotation speed is determined according to the conversion factor, and the actual rotation speed of the fan is adjusted according to the sum value between the first rotation speed and the recommended fan rotation speed, so that the fan noise intensity perceived by the user can be reduced while the fan heat dissipation effect is better improved, and the masking effect of the environmental noise on the fan noise can be guaranteed to be optimal.
Further, the step of adjusting the actual fan speed of the fan includes:
c, after the fan noise intensity value is larger than the perceived noise intensity threshold value, converting a second difference value between the fan noise intensity value and the perceived noise intensity threshold value according to a preset conversion factor to obtain a second rotating speed;
and d, adjusting the actual rotating speed of the fan according to the difference between the recommended rotating speed of the fan and the second rotating speed.
In this embodiment, after detecting that the fan noise intensity value and the perceived noise intensity threshold are not matched and detecting that the fan noise intensity value is greater than the perceived noise intensity threshold, the fan rotation speed may be reduced to reduce the fan noise intensity perceived by the user. In order to ensure that the masking effect of the environmental noise on the fan noise is optimal, an adjusting value for adjusting the rotating speed of the fan can be set, and then a conversion factor which is set in advance can be acquired. The conversion factor may be a conversion factor between the rotational speed and the intensity difference. The difference in intensity between the fan noise intensity value and the perceived noise intensity threshold value may be determined first and used as a second difference. And converting the second difference value by a conversion factor, and taking the converted rotating speed as a second rotating speed. At this time, the first rotation speed may be continuously reduced based on the recommended rotation speed of the fan, and the actual rotation speed of the fan (i.e., the actual rotation speed of the fan) may be reduced and adjusted, that is, the actual rotation speed of the fan may be adjusted to be equal to the difference between the recommended rotation speed of the fan and the first rotation speed. For example, if the fan noise intensity value is L, the perceived noise intensity threshold value is l_limit (R), the recommended fan speed is R, and the conversion factor is k, the difference between the recommended fan speed and the second speed is: r-k (L-L_limit (R)). The actual rotational speed of the fan is then adjusted to R-k (L-L_limit (R)).
In this embodiment, after the fan noise intensity value is greater than the perceived noise intensity threshold value, the second rotation speed is determined according to the conversion factor, and the actual rotation speed of the fan is adjusted according to the difference between the recommended rotation speed of the fan and the second rotation speed, so that the masking effect of the environmental noise on the fan noise can be better ensured, and the heat dissipation effect can be ensured.
In addition, in an embodiment, a speaker is disposed in the head-mounted display device, and the step of converting environmental noise of an environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
step e, after detecting that a loudspeaker exists in the head-mounted display device and a microphone does not exist, converting an audio signal played by the loudspeaker into a bark domain as environmental noise to obtain a target bark domain signal;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and f, determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a bark domain response signal corresponding to the frequency response of an audio signal transmitted to human ears by the loudspeaker and a preset fan noise bark domain spectrum.
In this embodiment, when the speaker and the fan are provided in the head-mounted display device, but the microphone is not provided, the intensity of the fan noise perceived by the user can also be reduced by the masking effect of the ambient noise on the fan noise at this time. That is, after detecting that a speaker is present in the head-mounted display device and a microphone is not present, an audio signal played by the speaker may be directly used as ambient noise. Such as game sounds played by speakers in a computer, etc.
And the audio signal played by the loudspeaker can be converted into the bark domain, and the converted bark domain signal is the target bark domain signal.
After the target bark domain signal is determined, the fan noise model corresponding to the target bark domain signal can be directly selected according to the target bark domain signal, then the target bark domain signal and the recommended fan rotating speed are input into the selected fan noise model for model training, and the fan noise intensity value corresponding to the target bark domain signal is output.
Wherein, since the speaker and the fan are arranged in the head-mounted display device and the microphone is not arranged, a fan noise model without considering the microphone can be selected at the moment, and model parameters in the fan noise model can only comprise a bark domain response signal corresponding to the frequency response of the audio signal transmitted to the human ear by the speaker and a preset fan noise bark domain spectrum. The fan noise bark domain spectrum is used for representing the bark domain corresponding to the noise accepted by the human ear under different rotating speeds of the fan. And at this time, S will not exist in the fan noise model 2 (f) And H 2 (f)。
In this embodiment, after detecting that a speaker is present in the head-mounted display device and a microphone is not present, the audio signal collected by the microphone may be directly used as ambient noise to perform bark domain conversion, so as to obtain a target bark domain signal, and then a corresponding fan noise model is determined, so that it is ensured that a fan noise intensity value can be accurately predicted according to the fan noise model.
In addition, in an embodiment, a microphone is disposed in the head-mounted display device, and the step of converting environmental noise of an environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
step g, after detecting that a microphone exists in the head-mounted display device and a loudspeaker does not exist, converting an audio signal collected by the microphone into a bark domain as environmental noise to obtain a target bark domain signal;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and h, determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum and a bark domain transfer function of an audio signal collected by the microphone to be transferred to human ears.
In this embodiment, when the microphone and the fan are provided in the head-mounted display device, but the speaker is not provided, the fan noise intensity perceived by the user can also be reduced by the masking effect of the ambient noise on the fan noise at this time. I.e. after detecting the presence of a microphone in the head mounted display device and the absence of a loudspeaker, the ambient noise can be determined directly from the audio signal collected by the microphone.
And the base domain conversion can be performed according to the audio signals collected by the microphone, the audio signals are converted into the base domain, and the converted base domain signals are used as target base domain signals. In addition, the audio signal can be filtered through a transfer function, the filtered audio signal is used as environmental noise, and the environmental noise is subjected to bark domain conversion to obtain a target bark domain signal.
After the target bark domain signal is determined, the fan noise model corresponding to the target bark domain signal can be directly selected according to the target bark domain signal, then the target bark domain signal and the recommended fan rotating speed are input into the selected fan noise model for model training, and the fan noise intensity value corresponding to the target bark domain signal is output.
Wherein, since the microphone and the fan are arranged in the head-mounted display device at the moment, there is no The speaker is set, at which time a fan noise model that does not take the speaker into account may be selected, and the model parameters in this fan noise model may include only the bark domain transfer function of the audio signal collected by the microphone to the human ear and a preset fan noise bark domain spectrum. The fan noise bark domain spectrum is used for representing the bark domain corresponding to the noise accepted by the human ear under different rotating speeds of the fan. And at this time, S will not exist in the fan noise model 1 (f) And H 1 (f)。
In this embodiment, after detecting that a microphone exists in the head-mounted display device and a speaker does not exist, the audio signal played by the speaker can be directly used as environmental noise to perform the bark domain conversion, so as to obtain a target bark domain signal, and then a corresponding fan noise model is determined, so that the fan noise intensity value can be accurately predicted according to the fan noise model.
In addition, in an embodiment, a microphone and a speaker are simultaneously disposed in the head-mounted display device, and the step of converting environmental noise of an environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
step i, converting an audio signal played by the loudspeaker and an audio signal collected by the microphone into a bark domain as environmental noise to obtain a target bark domain signal;
After the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
step j, determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum, a bark domain transfer function and a bark domain response signal.
In this embodiment, when the microphone, the speaker, and the fan are provided in the head-mounted display device, the intensity of the fan noise perceived by the user can also be reduced by the masking effect of the ambient noise on the fan noise at this time. I.e. after detecting the presence of a microphone and a speaker in the head mounted display device, the ambient noise can be determined directly from the audio signal collected by the microphone and the audio signal played by the speaker.
At this time, the audio signals collected by the microphone can be subjected to the bark domain conversion, the audio signals played by the loudspeaker are subjected to the bark domain conversion, and the audio signals collected by the microphone and the audio signals played by the loudspeaker are converted into the bark domain so as to obtain target bark domain signals. For example, converting a digital audio signal output to a speaker in real time by an audio downlink of a head-mounted display device to a bark domain, to obtain S 1 (f) The method comprises the steps of carrying out a first treatment on the surface of the Converting digital audio signals collected by an audio uplink microphone of the head-mounted display device into a bark domain to obtain S 2 (f) The method comprises the steps of carrying out a first treatment on the surface of the Will S 1 (f) And S is 2 (f) As a target bark domain signal.
After the target bark domain signal is determined, the fan noise model corresponding to the target bark domain signal can be directly selected according to the target bark domain signal, then the target bark domain signal and the recommended fan rotating speed are input into the selected fan noise model for model training, and the fan noise intensity value corresponding to the target bark domain signal is output.
In this case, since the microphone, the fan, and the speaker are provided in the head-mounted display device, a fan noise model in which the speaker, the microphone, and the fan are simultaneously considered, for example, a perceived fan noise model as shown in fig. 5, may be selected. And the model parameters in the fan noise model may include a bark domain transfer function of an audio signal collected by the microphone transferred to the human ear, a bark domain response signal corresponding to a frequency response of an audio signal transferred by the speaker to the human ear, and a preset fan noise bark domain spectrum. The fan noise bark domain spectrum is used for representing the bark domain corresponding to the noise accepted by the human ear under different rotating speeds of the fan.
In this embodiment, after detecting that a speaker and a microphone exist in the head-mounted display device, the audio signal collected by the microphone and the audio signal played by the speaker may be directly used as environmental noise to perform bark domain conversion, so as to obtain a target bark domain signal, and then a corresponding fan noise model is determined, so that it is ensured that a fan noise intensity value can be accurately predicted according to the fan noise model.
In addition, referring to fig. 6, the present invention further provides a fan noise adjustment device, where the fan noise adjustment device is disposed in a head-mounted display device, and a fan is disposed in the head-mounted display device, and the fan noise adjustment device includes:
the acquisition module A10 is used for acquiring the recommended fan rotating speed corresponding to the fan, converting the environmental noise of the environment where the fan is positioned into a bark domain, and obtaining a target bark domain signal;
the model training module A20 is used for inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model to perform model training, and outputting to obtain a fan noise intensity value;
the detection module A30 is used for detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value;
And the adjusting module A40 is used for adjusting the actual fan rotating speed of the fan after the fan noise intensity value is not matched with the preset perception noise intensity threshold value until the adjusted noise intensity value is detected to be matched with the perception noise intensity threshold value.
Optionally, the adjusting module a40 is further configured to:
after the fan noise intensity value is smaller than the perceived noise intensity threshold value, converting a first difference value between the perceived noise intensity threshold value and the fan noise intensity value according to a preset conversion factor to obtain a first rotating speed;
and adjusting the actual rotating speed of the fan according to the sum value of the first rotating speed and the recommended rotating speed of the fan.
Optionally, the adjusting module a40 is further configured to:
after the fan noise intensity value is larger than the perceived noise intensity threshold value, converting a second difference value between the fan noise intensity value and the perceived noise intensity threshold value according to a preset conversion factor to obtain a second rotating speed;
and adjusting the actual rotating speed of the fan according to the difference between the recommended rotating speed of the fan and the second rotating speed.
Optionally, a speaker is disposed in the head-mounted display device, and the obtaining module a10 is further configured to:
After detecting that a loudspeaker exists in the head-mounted display device and a microphone does not exist, converting an audio signal played by the loudspeaker into a bark domain as environmental noise to obtain a target bark domain signal;
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a bark domain response signal corresponding to the frequency response of an audio signal transmitted to human ears by the loudspeaker and a preset fan noise bark domain spectrum.
Optionally, a microphone is disposed in the head-mounted display device, and the obtaining module a10 is further configured to:
after detecting that a microphone exists in the head-mounted display device and a loudspeaker does not exist, converting an audio signal collected by the microphone into a bark domain as environmental noise to obtain a target bark domain signal;
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum and a bark domain transfer function of an audio signal collected by the microphone to be transferred to human ears.
Optionally, a microphone and a speaker are simultaneously provided in the head-mounted display device, and the acquisition module a10 is further configured to:
The audio signals played by the loudspeaker and the audio signals collected by the microphone are converted into a bark domain as environmental noise, so that target bark domain signals are obtained;
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum, a bark domain transfer function and a bark domain response signal.
Optionally, the detection module a30 is configured to:
and acquiring a preset perceived fan noise intensity threshold curve, and determining a perceived noise intensity threshold value corresponding to the recommended fan rotating speed in the perceived fan noise intensity threshold curve.
The steps of implementing the fan noise adjustment device can refer to various embodiments of the fan noise adjustment method of the present invention, and are not described herein.
In addition, the present invention also provides a head-mounted display device, including: a memory, a processor, and a fan noise adjustment program stored on the memory; the processor is configured to execute the fan noise adjustment program to implement the steps of the embodiments of the fan noise adjustment method described above.
The present invention also provides a storage medium, which may be a computer readable storage medium storing one or more programs, where the one or more programs may be further executed by one or more processors to implement the steps of the embodiments of the fan noise adjustment method described above.
The specific implementation manner of the storage medium of the present invention is basically the same as that of each embodiment of the fan noise adjustment method, and will not be repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A fan noise adjustment method, wherein the fan noise adjustment method is applied to a head-mounted display device in which a fan is provided, the fan noise adjustment method comprising the steps of:
acquiring a recommended fan rotating speed corresponding to the fan, and converting environmental noise of an environment where the fan is positioned into a bark domain to obtain a target bark domain signal;
inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model for model training, and outputting to obtain a fan noise intensity value;
detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value or not;
and after the fan noise intensity value is not matched with a preset perceived noise intensity threshold value, adjusting the actual fan rotating speed of the fan until the adjusted noise intensity value is detected to be matched with the perceived noise intensity threshold value.
2. The fan noise adjustment method as set forth in claim 1, wherein the step of adjusting an actual fan rotational speed of the fan includes:
after the fan noise intensity value is smaller than the perceived noise intensity threshold value, converting a first difference value between the perceived noise intensity threshold value and the fan noise intensity value according to a preset conversion factor to obtain a first rotating speed;
and adjusting the actual rotating speed of the fan according to the sum value of the first rotating speed and the recommended rotating speed of the fan.
3. The fan noise adjustment method as set forth in claim 1, wherein the step of adjusting an actual fan rotational speed of the fan includes:
after the fan noise intensity value is larger than the perceived noise intensity threshold value, converting a second difference value between the fan noise intensity value and the perceived noise intensity threshold value according to a preset conversion factor to obtain a second rotating speed;
and adjusting the actual rotating speed of the fan according to the difference between the recommended rotating speed of the fan and the second rotating speed.
4. The method for adjusting noise of a fan according to claim 1, wherein a speaker is provided in the head-mounted display device, and the step of converting the environmental noise of the environment in which the fan is located into a bark domain to obtain a target bark domain signal includes:
After detecting that a loudspeaker exists in the head-mounted display device and a microphone does not exist, converting an audio signal played by the loudspeaker into a bark domain as environmental noise to obtain a target bark domain signal;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a bark domain response signal corresponding to the frequency response of an audio signal transmitted to human ears by the loudspeaker and a preset fan noise bark domain spectrum.
5. The method for adjusting noise of a fan as claimed in claim 1, wherein a microphone is disposed in the head-mounted display device, and the step of converting the environmental noise of the environment where the fan is located into a bark domain to obtain a target bark domain signal includes:
after detecting that a microphone exists in the head-mounted display device and a loudspeaker does not exist, converting an audio signal collected by the microphone into a bark domain as environmental noise to obtain a target bark domain signal;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
And determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum and a bark domain transfer function of an audio signal collected by the microphone to be transferred to human ears.
6. The method for adjusting noise of a fan as claimed in claim 1, wherein a microphone and a speaker are simultaneously disposed in the head-mounted display device, and the step of converting the environmental noise of the environment where the fan is located into a bark domain to obtain a target bark domain signal comprises:
the audio signals played by the loudspeaker and the audio signals collected by the microphone are converted into a bark domain as environmental noise, so that target bark domain signals are obtained;
after the step of determining the target bark domain signal corresponding to the environmental noise of the environment where the fan is located, the step of determining the target bark domain signal comprises the following steps:
and determining a pre-trained fan noise model corresponding to the target bark domain signal, wherein the fan noise model comprises model parameters, and the model parameters comprise a preset fan noise bark domain spectrum, a bark domain transfer function and a bark domain response signal.
7. The fan noise adjustment method of claim 1, wherein before the step of detecting whether the fan noise intensity value matches a preset perceived noise intensity threshold value, comprising:
And acquiring a preset perceived fan noise intensity threshold curve, and determining a perceived noise intensity threshold value corresponding to the recommended fan rotating speed in the perceived fan noise intensity threshold curve.
8. A fan noise adjustment device, characterized in that the fan noise adjustment device is disposed in a head-mounted display device, in which a fan is disposed, the fan noise adjustment device comprising:
the acquisition module is used for acquiring the recommended fan rotating speed corresponding to the fan, converting the environmental noise of the environment where the fan is positioned into a bark domain, and obtaining a target bark domain signal;
the model training module is used for inputting the recommended fan rotating speed and the target bark domain signal into a pre-trained fan noise model to perform model training, and outputting to obtain a fan noise intensity value;
the detection module is used for detecting whether the fan noise intensity value is matched with a preset perception noise intensity threshold value or not;
and the adjusting module is used for adjusting the actual fan rotating speed of the fan after the fan noise intensity value is not matched with the preset perception noise intensity threshold value until the adjusted noise intensity value is detected to be matched with the perception noise intensity threshold value.
9. A head-mounted display device, the head-mounted display device comprising: memory, a processor and a fan noise adjustment program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the fan noise adjustment method of any of claims 1 to 7.
10. A storage medium having stored thereon a fan noise adjustment program which, when executed by a processor, implements the steps of the fan noise adjustment method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310031604.1A CN116221160A (en) | 2023-01-06 | 2023-01-06 | Fan noise adjusting method and device, head-mounted display device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310031604.1A CN116221160A (en) | 2023-01-06 | 2023-01-06 | Fan noise adjusting method and device, head-mounted display device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116221160A true CN116221160A (en) | 2023-06-06 |
Family
ID=86581782
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310031604.1A Pending CN116221160A (en) | 2023-01-06 | 2023-01-06 | Fan noise adjusting method and device, head-mounted display device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116221160A (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080243497A1 (en) * | 2007-03-28 | 2008-10-02 | Microsoft Corporation | Stationary-tones interference cancellation |
| CN108735196A (en) * | 2017-04-21 | 2018-11-02 | 阿尔派株式会社 | Active oise damping means and error route characteristic model modification method |
| CN110447041A (en) * | 2017-05-20 | 2019-11-12 | 渊慧科技有限公司 | Noise neural net layer |
| CN110491407A (en) * | 2019-08-15 | 2019-11-22 | 广州华多网络科技有限公司 | Method, apparatus, electronic equipment and the storage medium of voice de-noising |
| WO2021119102A1 (en) * | 2019-12-09 | 2021-06-17 | Dolby Laboratories Licensing Corporation | Adjusting audio and non-audio features based on noise metrics and speech intelligibility metrics |
| CN113160845A (en) * | 2021-03-29 | 2021-07-23 | 南京理工大学 | Speech enhancement algorithm based on speech existence probability and auditory masking effect |
| CN113534936A (en) * | 2021-09-14 | 2021-10-22 | 苏州浪潮智能科技有限公司 | Server fan rotating speed control method, device, equipment and medium |
| CN114121031A (en) * | 2021-12-08 | 2022-03-01 | 思必驰科技股份有限公司 | Device voice noise reduction, electronic device, and storage medium |
| US20220208207A1 (en) * | 2020-12-28 | 2022-06-30 | Shenzhen Shokz Co., Ltd. | Audio signal processing method and system for echo suppression |
| CN115419608A (en) * | 2022-08-23 | 2022-12-02 | 歌尔科技有限公司 | Fan noise reduction method, system, device and medium for head-mounted display equipment |
-
2023
- 2023-01-06 CN CN202310031604.1A patent/CN116221160A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080243497A1 (en) * | 2007-03-28 | 2008-10-02 | Microsoft Corporation | Stationary-tones interference cancellation |
| CN108735196A (en) * | 2017-04-21 | 2018-11-02 | 阿尔派株式会社 | Active oise damping means and error route characteristic model modification method |
| CN110447041A (en) * | 2017-05-20 | 2019-11-12 | 渊慧科技有限公司 | Noise neural net layer |
| CN110491407A (en) * | 2019-08-15 | 2019-11-22 | 广州华多网络科技有限公司 | Method, apparatus, electronic equipment and the storage medium of voice de-noising |
| WO2021119102A1 (en) * | 2019-12-09 | 2021-06-17 | Dolby Laboratories Licensing Corporation | Adjusting audio and non-audio features based on noise metrics and speech intelligibility metrics |
| CN114830233A (en) * | 2019-12-09 | 2022-07-29 | 杜比实验室特许公司 | Adjusting audio and non-audio features based on noise indicator and speech intelligibility indicator |
| US20220208207A1 (en) * | 2020-12-28 | 2022-06-30 | Shenzhen Shokz Co., Ltd. | Audio signal processing method and system for echo suppression |
| CN113160845A (en) * | 2021-03-29 | 2021-07-23 | 南京理工大学 | Speech enhancement algorithm based on speech existence probability and auditory masking effect |
| CN113534936A (en) * | 2021-09-14 | 2021-10-22 | 苏州浪潮智能科技有限公司 | Server fan rotating speed control method, device, equipment and medium |
| CN114121031A (en) * | 2021-12-08 | 2022-03-01 | 思必驰科技股份有限公司 | Device voice noise reduction, electronic device, and storage medium |
| CN115419608A (en) * | 2022-08-23 | 2022-12-02 | 歌尔科技有限公司 | Fan noise reduction method, system, device and medium for head-mounted display equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11615802B2 (en) | Methods and apparatus for biometric processes | |
| WO2017101067A1 (en) | Ambient sound processing method and device | |
| US8369549B2 (en) | Hearing aid system adapted to selectively amplify audio signals | |
| CN107995360B (en) | Call processing method and related product | |
| US20180152163A1 (en) | Noise control method and device | |
| US10838686B2 (en) | Artificial intelligence to enhance a listening experience | |
| CN107172256B (en) | Earphone call self-adaptive adjustment method and device, mobile terminal and storage medium | |
| CN109410973B (en) | Sound changing processing method, device and computer readable storage medium | |
| CN109686347A (en) | Sound effect treatment method, sound-effect processing equipment, electronic equipment and readable medium | |
| CN111083289B (en) | Audio playing method and device, storage medium and mobile terminal | |
| US20160372099A1 (en) | Noise control method and device | |
| CN112767908B (en) | Active noise reduction method based on key voice recognition, electronic equipment and storage medium | |
| CN111508510A (en) | Audio processing method and device, storage medium and electronic equipment | |
| CN112216294A (en) | Audio processing method and device, electronic equipment and storage medium | |
| US20230095163A1 (en) | Voice call method and apparatus, terminal, and storage medium | |
| CN113949955A (en) | Noise reduction processing method and device, electronic equipment, earphone and storage medium | |
| CN113176870B (en) | Volume adjustment method and device, electronic equipment and storage medium | |
| CN116980804A (en) | Volume adjustment method, device, equipment and readable storage medium | |
| CN116221160A (en) | Fan noise adjusting method and device, head-mounted display device and storage medium | |
| CN111800700B (en) | Method and device for prompting object in environment, earphone equipment and storage medium | |
| CN113593612A (en) | Voice signal processing method, apparatus, medium, and computer program product | |
| CN115731914A (en) | Noise reduction method, device, equipment and computer readable storage medium | |
| CN114125128A (en) | Anti-eavesdropping recording method, device and terminal | |
| JP2010239542A (en) | Voice processor | |
| JP7251007B1 (en) | Method, electronic device and program for processing acoustic signals supplied to equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |