Range hood and noise reduction method, device, and computer-readable storage medium

Abstract

The present invention discloses a range hood and a noise reduction method, device, and computer-readable storage medium thereof. The method comprises: using a noise reduction signal to actively reduce the noise signal of the range hood, and obtaining a residual signal during the active noise reduction process; optimizing the noise reduction signal in order from high to low frequency bands when the residual signal contains a residual noise reduction signal; and using the optimized noise reduction signal to reduce the noise signal of the range hood again. The present invention can greatly improve the active noise reduction effect of the range hood by actively optimizing the noise reduction signal through the detection of the residual signal, and using the optimized noise reduction signal to actively reduce the noise signal of the range hood.

Description

Technical Field

[0001] The present invention relates to the technical field of range hood noise reduction, and in particular to a range hood and a noise reduction method, device, and computer-readable storage medium thereof. Background Art

[0002] Range hoods have become a must-have appliance in most home kitchens. Range hoods usually generate noise when working, which affects the user experience. In order to reduce the adverse effects of the noise generated by the range hood when working on the user, active noise reduction methods (or active noise reduction methods) are currently mainly used for noise reduction processing.

[0003] The existing active noise reduction method mainly arranges microphones and speakers in the range hood duct, and the speakers play noise reduction signals with the same amplitude and opposite phase as the range hood noise, so that the noise reduction signal cancels out the range hood noise and achieves the noise reduction effect. The installation position of the microphone and speaker, the shape and size of the flue, and the oil stains in the flue will affect the noise reduction effect of the noise reduction signal. If the sound wave energy of the noise reduction signal is high, the excess sound wave energy after cancellation will be reflected multiple times in the flue and generate a large noise. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the above-mentioned defects in the prior art and to provide a range hood and a noise reduction method, device, and computer-readable storage medium thereof.

[0005] The present invention solves the above technical problems through the following technical solutions:

[0006] In a first aspect, a method for reducing noise of a range hood is provided, comprising:

[0007] The noise signal of the range hood is actively reduced by using the noise reduction signal, and a residual signal is obtained in the process of active noise reduction;

[0008] In the case where the residual signal includes a residual noise reduction signal, optimizing the noise reduction signal in descending order of frequency bands;

[0009] The optimized noise reduction signal is used to reduce the noise of the range hood again.

[0010] Optionally, optimizing the noise reduction signal in order of frequency bands from high to low includes:

[0011] Dividing the frequency of the noise reduction signal into multiple frequency bands according to a preset rule;

[0012] The optimization parameters corresponding to each frequency band are determined in order from high to low, and the noise reduction signal of the corresponding frequency band is optimized by using the optimization parameters.

[0013] Optionally, the optimization parameters are obtained by fitting historical denoising data, or the optimization parameters are obtained according to a pre-trained parameter determination model; the parameter determination model is obtained by training a neural network using historical denoising data samples.

[0014] Optionally, it also includes:

[0015] calculating an error signal between the residual signal and the noise signal;

[0016] Determine whether the sound wave energy proportion of the error signal in a preset frequency range is greater than or equal to an energy proportion threshold;

[0017] If the judgment result is yes, it is determined that the residual signal includes a residual noise reduction signal.

[0018] Optionally, it also includes:

[0019] Determine whether the error signal obtained after this round of active noise reduction matches the target signal;

[0020] If there is no match, the partial signal corresponding to the frequency band optimized in this round in the noise reduction signal is filtered out.

[0021] In a second aspect, a noise reduction device for a range hood is provided, comprising:

[0022] A noise reduction module, used to actively reduce the noise signal of the range hood by using a noise reduction signal, and obtain a residual signal during the active noise reduction process;

[0023] an optimization module, configured to optimize the noise reduction signal in descending order of frequency bands when the residual signal contains a residual noise reduction signal;

[0024] The noise reduction module is further used to use the optimized noise reduction signal to reduce the noise signal of the range hood again.

[0025] Optionally, the optimization module includes:

[0026] A division unit, used to divide the frequency of the noise reduction signal into multiple frequency bands according to a preset rule;

[0027] The optimization unit is used to determine the optimization parameters corresponding to each frequency band in order from high to low, and use the optimization parameters to optimize the noise reduction signal of the corresponding frequency band.

[0028] Optionally, the optimization parameters are obtained by fitting historical denoising data, or the optimization parameters are obtained according to a pre-trained parameter determination model; the parameter determination model is obtained by training a neural network using historical denoising data samples.

[0029] Optionally, it also includes:

[0030] A calculation module, used for calculating an error signal between the residual signal and the noise signal;

[0031] The judgment unit judges whether the sound wave energy proportion of the error signal in the preset frequency range is greater than or equal to the energy proportion threshold; and when the judgment result is yes, calls the optimization module.

[0032] Optionally, it also includes:

[0033] The matching module is used to determine whether the error signal obtained after the current round of active noise reduction matches the target signal, and if it does not match, the filtering module is called;

[0034] The filtering module is used to filter out part of the signal corresponding to the frequency band optimized in this round in the noise reduction signal.

[0035] In a third aspect, a range hood is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above-described range hood noise reduction methods when executing the computer program.

[0036] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the noise reduction method of the range hood described above is implemented.

[0037] On the basis of being in accordance with the common sense in the art, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present invention.

[0038] The positive progressive effect of the present invention is that the present invention actively optimizes the noise reduction signal by detecting the residual signal, and uses the optimized noise reduction signal to actively reduce the noise signal of the range hood, which can greatly improve the active noise reduction effect of the range hood. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The present invention is a flowchart of a method for reducing noise of a range hood provided by an exemplary embodiment of the present invention.

[0040] Figure 2 A flow chart of another range hood noise reduction method provided by an exemplary embodiment of the present invention.

[0041] Figure 3 A schematic diagram of a module of a noise reduction device for a range hood provided by an exemplary embodiment of the present invention.

[0042] Figure 4 The present invention provides a schematic structural diagram of a range hood according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0043] The present invention is further described below by way of examples, but the present invention is not limited to the scope of the examples.

[0044] Figure 1 A flowchart of a noise reduction method for a range hood provided by an exemplary embodiment of the present invention, wherein the noise reduction method is applied to a controller, see Figure 1 , the noise reduction method comprises the following steps:

[0045] Step 101: Actively reduce the noise signal of the range hood using a noise reduction signal, and obtain a residual signal during the active noise reduction process.

[0046] In one embodiment, the controller triggers a speaker deployed on the range hood to play a noise reduction signal to offset the noise signal generated by the noise source of the range hood. In order to better offset the noise signal, the speaker and the noise source are deployed almost on the same horizontal line.

[0047] In one embodiment, the controller triggers a microphone deployed on the range hood to collect residual signals. The microphone can be deployed inside the flue, and the microphone can be a single microphone or a microphone array. The embodiment of the present invention does not specifically limit the specific form of the microphone.

[0048] The residual signal may include two parts: one is the residual noise signal after cancellation, and the other is the residual noise reduction signal. The residual noise reduction signal will also generate a large noise after multiple reflections in the smoke duct of the range hood. If the residual signal includes the residual noise reduction signal, it means that the noise reduction signal used in step 101 does not meet expectations and needs to be optimized.

[0049] Step 102: When the residual signal contains the residual noise reduction signal, the noise reduction signal is optimized in descending order of frequency bands.

[0050] The following describes a possible implementation of determining whether the residual signal contains a residual noise reduction signal:

[0051] Calculate the error signal e1(n) between the residual signal d3(n) and the noise signal d1(n), and determine whether the sound wave energy proportion p% of the error signal e1(n) in the preset frequency range [f1, f2] is greater than or equal to the energy proportion threshold P%; if the sound wave energy proportion p% ≥ the energy proportion threshold P%, it is determined that the residual signal contains a residual noise reduction signal, and the reflected sound of the residual noise reduction signal will affect the noise signal at the microphone, and the noise reduction signal needs to be optimized. If the sound wave energy proportion p% < the energy proportion threshold P%, it is determined that the residual signal does not contain a residual noise reduction signal or the content is small, and the reflected sound of the residual noise reduction signal will not affect the noise signal at the microphone, and there is no need to optimize the noise reduction signal, and the subsequent steps are not executed, and the noise reduction signal of step 101 is used to actively reduce the noise of the range hood.

[0052] The noise signal d1(n) is the noise signal of the noise source of the range hood on the transmission path to the microphone, which is collected by the microphone when the range hood is turned on, the speaker is turned off, and the noise signal is triggered. The noise signal d1(n) can be factory set, or it can be collected by the microphone before each active noise reduction, that is, when the range hood noise source is turned on and the speaker is not turned on.

[0053] In one embodiment, the step of optimizing the noise reduction signal in the order of frequency bands from high to low specifically includes:

[0054] Step 102-1: Divide the frequency of the noise reduction signal into n frequency bands according to a preset rule.

[0055] The noise reduction signal y(n) is an information function of amplitude and phase, and its effective noise reduction frequency range is [X1, X n ], the effective noise reduction frequency range [X1, X n ] is divided into n frequency bands, and is arranged from low frequency to high frequency in order [X1, X2), [X2, X3), [X3, X4), …, [X n-1 , X n ];

[0056] The preset rules can be set according to actual conditions, that is, the number of n and the span range of each frequency band can be set according to actual needs, and the span range of each frequency band can be the same or different. It can be understood that the greater the number of n, the more accurate the optimization of the noise reduction signal.

[0057] Step 102-2: Determine the optimization parameters corresponding to each frequency band in order from high to low, and use the optimization parameters to optimize the noise reduction signal of the corresponding frequency band.

[0058] Since the active noise reduction effect is achieved by the noise reduction signal in a lower frequency band, the noise reduction signal is optimized in a descending order in the implementation of the present invention, which will not affect the effect of the active noise reduction and can effectively optimize the noise reduction signal.

[0059] Optimizing the noise reduction signal means optimizing the amplitude of the noise reduction signal, reducing the amplitude of the noise reduction signal to reduce or eliminate the residual noise reduction signal contained in the residual signal. The optimization formula may be, but is not limited to, expressed as follows:

[0060] A′=K i A;

[0061] Among them, K i represents the optimization parameter corresponding to the i-th frequency band, K i <1, 1≤i≤n; A represents the amplitude of the i-th frequency band of the noise reduction signal before optimization; A′ represents the amplitude of the i-th frequency band of the noise reduction signal after optimization.

[0062] In one embodiment, the optimization parameters corresponding to each frequency band are the same.

[0063] In one embodiment, the optimization parameters corresponding to each frequency band are different. For example, the optimization parameters corresponding to each frequency band are positively correlated with the frequency band, that is, the optimization parameters gradually decrease as the frequency bands are ordered from high to low.

[0064] The optimization parameters can be determined by fitting the historical noise reduction data of the range hood or by experience, and the optimization parameters can also be obtained by a pre-trained parameter determination model; the parameter determination model is obtained by training a neural network using historical noise reduction data samples. The historical noise reduction data includes at least one of the following parameters: operating condition information of the range hood, frequency band of the noise reduction signal, optimization parameters, optimization effect, noise reduction effect, etc.

[0065] Step 103: Use the optimized noise reduction signal to actively reduce the noise signal of the range hood again.

[0066] In the embodiment of the present invention, by detecting the residual signal, the noise reduction signal is actively optimized, and the optimized noise reduction signal is used to actively reduce the noise signal of the range hood, which can greatly improve the active noise reduction effect of the range hood.

[0067] In one embodiment, in order to achieve a better optimization effect, steps 101 to 103 are repeatedly performed until the residual signal does not contain the residual noise reduction signal. For example, the noise reduction signal is first optimized in the frequency band [X n-1 , X n] to reduce and optimize the amplitude within the frequency band [X], and obtain the optimized noise reduction signal y(n)', and use the optimized noise reduction signal y(n)' to actively reduce the noise signal of the range hood again. If the residual signal collected this time contains the residual noise reduction signal, the noise reduction signal in the frequency band [X n-2 , X n-1 ) is optimized by reducing the amplitude within ; if the residual signal collected this time does not contain the residual noise reduction signal, the optimization of the noise reduction signal is stopped, and the noise reduction signal y(n)' is subsequently used to actively reduce the noise signal of the range hood.

[0068] In one embodiment, using [X n-1 , X n ], and then the optimized noise reduction signal is used to actively reduce the noise signal of the range hood again, and then it is further determined whether the error signal e1(n) matches the target signal e1(dn). If the error signal e1(n) matches the target signal e1(dn), it means that the noise reduction signal meets the requirements, and then the optimization of the noise reduction signal is stopped; if the error signal e1(n) does not match the target signal e1(dn), it means that the noise reduction signal does not meet the requirements, and then the noise reduction signal [X n-1 , X n ] frequency band, and then filter out the frequency band [X n-2 , X n-1 ) is optimized by reducing the amplitude within it, and so on.

[0069] The following takes two rounds of optimization of the noise reduction signal as an example to further illustrate the noise reduction process of the range hood. Figure 2 A flowchart of another noise reduction method for a range hood provided by an exemplary embodiment of the present invention, the noise reduction method comprising the following steps:

[0070] Step 201: Actively reduce the noise signal of the range hood using a noise reduction signal, and obtain a residual signal during the active noise reduction process.

[0071] The noise reduction signal in step 201 can be a factory-set noise reduction signal or a noise reduction signal after the previous round of optimization. The frequency of the noise reduction signal can be divided into n frequency bands, which are arranged from low frequency to high frequency in order [X0, X1), [X1, X2), [X2, X3), ..., [X n-1 , X n ].

[0072] Step 202: Determine whether the residual signal contains a residual noise reduction signal.

[0073] In step 202, if the judgment result is yes, then step 203 is executed; if the judgment result is no, then step 208 is executed.

[0074] Step 203: Use frequency band [Xn-1 , X n ], the optimization parameters for the mid-frequency band [X n-1 , X n ] part is eliminated and optimized to obtain the optimized noise reduction signal.

[0075] Step 204: Actively reduce the noise signal of the range hood using the optimized noise reduction signal, and obtain a residual signal during the active noise reduction process.

[0076] Step 205: Calculate an error signal according to the residual signal and the noise signal.

[0077] The calculation formula may be, but is not limited to, error signal e1(n)=residual signal d3(n)−noise signal d1(n).

[0078] Step 206: Determine whether the error signal matches the target signal.

[0079] In step 206, if the judgment result is no match, then step 207 is executed. In step 206, if the judgment result is a match, then step 208 is executed.

[0080] Step 207: Filter out the mid-frequency band of the noise reduction signal [X n-1 , X n ] and uses the frequency band [X n-2 , X n-1 ) is the optimized parameter for the filtered noise reduction signal mid-frequency band [X n-2 , X n-1 ) is optimized to obtain an optimized noise reduction signal. Then, the process returns to step 201.

[0081] Step 208: Stop optimizing the noise reduction signal.

[0082] Corresponding to the aforementioned embodiment of the noise reduction method for a range hood, the present invention also provides an embodiment of a noise reduction device for a range hood.

[0083] Figure 3 A schematic diagram of a module of a noise reduction device for a range hood is provided as an exemplary embodiment of the present invention. The noise reduction device comprises:

[0084] The noise reduction module 31 is used to actively reduce the noise signal of the range hood by using the noise reduction signal, and obtain the residual signal in the process of active noise reduction;

[0085] an optimization module 32, configured to optimize the noise reduction signal in descending order of frequency bands when the residual signal contains a residual noise reduction signal;

[0086] The noise reduction module 31 is further used to use the optimized noise reduction signal to reduce the noise signal of the range hood again.

[0087] Optionally, the optimization module includes:

[0088] A division unit, used to divide the frequency of the noise reduction signal into multiple frequency bands according to a preset rule;

[0089] The optimization unit is used to determine the optimization parameters corresponding to each frequency band in order from high to low, and use the optimization parameters to optimize the noise reduction signal of the corresponding frequency band.

[0090] Optionally, the optimization parameters are obtained by fitting historical denoising data, or the optimization parameters are obtained according to a pre-trained parameter determination model; the parameter determination model is obtained by training a neural network using historical denoising data samples.

[0091] Optionally, it also includes:

[0092] A calculation module, used for calculating an error signal between the residual signal and the noise signal;

[0093] The judgment unit judges whether the sound wave energy proportion of the error signal in the preset frequency range is greater than or equal to the energy proportion threshold; and when the judgment result is yes, calls the optimization module.

[0094] Optionally, it also includes:

[0095] The matching module is used to determine whether the error signal obtained after the current round of active noise reduction matches the target signal, and if it does not match, the filtering module is called;

[0096] The filtering module is used to filter out part of the signal corresponding to the frequency band optimized in this round in the noise reduction signal.

[0097] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The device embodiment described above is only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of the present invention. Ordinary technicians in this field can understand and implement it without paying creative work.

[0098] Figure 4 This is a schematic structural diagram of a range hood according to an exemplary embodiment of the present invention, and shows a block diagram of an exemplary range hood 40 suitable for implementing the embodiment of the present invention. Figure 4 The range hood 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0099] like Figure 4 As shown, the range hood 40 may be in the form of a general computing device, for example, it may be a server device. The components of the range hood 40 may include but are not limited to: at least one processor 41, at least one memory 42, and a bus 43 connecting different system components (including the memory 42 and the processor 41).

[0100] The bus 43 includes a data bus, an address bus, and a control bus.

[0101] The memory 42 may include a volatile memory, such as a random access memory (RAM) 421 and / or a cache memory 422 , and may further include a read-only memory (ROM) 423 .

[0102] The memory 42 may also include a program tool 425 (or utility) having a set (at least one) of program modules 424, such program modules 424 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0103] The processor 41 executes various functional applications and data processing by running the computer program stored in the memory 42, such as the method provided in any of the above embodiments.

[0104] The range hood 40 may also communicate with one or more external devices 44. Such communication may be performed via an input / output (I / O) interface 45. Furthermore, the model-generated range hood 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 46. As shown, the network adapter 46 communicates with other modules of the model-generated range hood 40 via a bus 43. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the model-generated range hood 40, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.

[0105] It should be noted that although several units / modules or sub-units / modules of the range hood are mentioned in the above detailed description, such division is merely exemplary and not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more units / modules described above may be embodied in one unit / module. Conversely, the features and functions of one unit / module described above may be further divided to be embodied by multiple units / modules.

[0106] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the method provided by any of the above embodiments is implemented.

[0107] The readable storage medium may include but is not limited to: a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device or any suitable combination of the above.

[0108] In a possible implementation manner, the embodiment of the present invention may also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute a method for implementing any of the above embodiments.

[0109] The program code for executing the present invention may be written in any combination of one or more programming languages, and may be executed entirely on a user device, partially on a user device, as an independent software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0110] Although the specific embodiments of the present invention are described above, it should be understood by those skilled in the art that this is only for illustration and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A method for reducing noise of a range hood, characterized in that: include: The noise signal of the range hood is actively reduced by using the noise reduction signal, and a residual signal is obtained in the process of active noise reduction; calculating an error signal between the residual signal and the noise signal; Determine whether the sound wave energy proportion of the error signal in a preset frequency range is greater than or equal to an energy proportion threshold; If the judgment result is yes, determining that the residual signal includes a residual noise reduction signal; In the case where the residual signal includes a residual noise reduction signal, the frequency of the noise reduction signal is divided into a plurality of frequency bands according to a preset rule, the optimization parameters corresponding to each frequency band are determined in order from high to low, and the noise reduction signal of the corresponding frequency band is optimized by using the optimization parameters; the optimization parameters are obtained by fitting historical noise reduction data, or the optimization parameters are obtained according to a pre-trained parameter determination model; The parameter determination model is obtained by training a neural network using historical noise reduction data samples; The optimized noise reduction signal is used to reduce the noise of the range hood again.

2. The noise reduction method for a range hood according to claim 1, characterized in that: Also includes: Determine whether the error signal obtained after this round of active noise reduction matches the target signal; If there is no match, the partial signal corresponding to the frequency band optimized in this round in the noise reduction signal is filtered out.

3. A noise reduction device for a range hood, characterized in that: The noise reduction method for the range hood according to claim 1 or 2 comprises: A noise reduction module, used to actively reduce the noise signal of the range hood by using a noise reduction signal, and obtain a residual signal during the active noise reduction process; an optimization module, configured to optimize the noise reduction signal in descending order of frequency bands when the residual signal contains a residual noise reduction signal; The noise reduction module is further used to use the optimized noise reduction signal to reduce the noise signal of the range hood again; The optimization module includes: A division unit, used to divide the frequency of the noise reduction signal into multiple frequency bands according to a preset rule; An optimization unit, used to determine the optimization parameters corresponding to each frequency band in order from high to low, and optimize the noise reduction signal of the corresponding frequency band by using the optimization parameters; The optimization parameters are obtained by fitting the historical denoising data, or the optimization parameters are obtained according to a pre-trained parameter determination model; the parameter determination model is obtained by training a neural network using historical denoising data samples; A calculation module, used for calculating an error signal between the residual signal and the noise signal; The judgment unit judges whether the sound wave energy proportion of the error signal in the preset frequency range is greater than or equal to the energy proportion threshold; and when the judgment result is yes, calls the optimization module.

4. The noise reduction device for a range hood according to claim 3, characterized in that: Also includes: The matching module is used to determine whether the error signal obtained after the current round of active noise reduction matches the target signal, and if it does not match, the filtering module is called; The filtering module is used to filter out part of the signal corresponding to the frequency band optimized in this round in the noise reduction signal.

5. A range hood, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the noise reduction method for the range hood according to any one of claims 1 to 2 is implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the noise reduction method for a range hood according to any one of claims 1 to 2 is implemented.

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