Fan noise reduction method and device, electronic equipment and computer readable storage medium

Abstract

The invention provides a fan noise reduction method and device, electronic equipment and a computer readable storage medium, is applied to a controller of a range hood, and relates to the technical field of household appliances. The method comprises the following steps: in response to a gear shifting instruction of the range hood, determining a noise change range; determining a plurality of noise signal target points at equal rotation speed intervals in a plurality of speed regulation intervals within the noise change range, and if the sound pressure level between the adjacent noise signal target points meets a preset condition, performing noise reduction based on a preset noise reduction audio; wherein the noise reduction audio is adjusted based on a target adjustment coefficient, the target adjustment coefficient is predicted and determined by a preset back pressure and adjustment coefficient relation model, and the back pressure and adjustment coefficient relation model can be gradually adjusted in the use process of the fan, so that the prediction result of the model is close to the current use scene; accurate noise reduction in a small range is realized, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of household appliances, and in particular to a fan noise reduction method, device, electronic equipment and computer-readable storage medium. Background Art

[0002] As people's requirements for kitchen cooking environment continue to increase, how to optimize the working state of range hoods is an issue that companies urgently need to solve.

[0003] During the speed regulation process of the range hood fan, noise that is unbearable for users often occurs. In the prior art, a simple active noise reduction is performed through a single audio during the fan speed regulation process. The superimposed sound is sometimes louder and sometimes softer, and even at some moments additional noise is frequently generated due to the noise reduction. The user experience is poor. How to accurately reduce the noise during the speed regulation process is an urgent problem to be solved. Summary of the invention

[0004] The object of the present invention is to provide a fan noise reduction method, device, electronic device and computer-readable storage medium, which divide the speed regulation interval into multiple intervals according to preset equal noise changes, detect the sound pressure level in each interval, and if the fluctuation amplitude is greater than the preset value, perform noise reduction through preset audio, thereby achieving accurate noise reduction in a small range and improving user experience.

[0005] In a first aspect, the present invention provides a fan noise reduction method, which is applied to a range hood controller, comprising:

[0006] Responding to the range hood gear adjustment instruction, determining the range of the adjusted gear;

[0007] Determine the noise variation range based on the preset gear position and noise relationship;

[0008] Divide the noise variation range into multiple speed adjustment intervals according to the preset division intervals;

[0009] The speed of the fan is adjusted based on the speed corresponding to the endpoint of the speed adjustment interval and the preset speed adjustment time;

[0010] During the speed regulation process, a plurality of noise signal target points are determined at equal speed intervals;

[0011] If the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value, noise reduction is performed based on the preset audio.

[0012] In some preferred embodiments of the present invention, the step of performing noise reduction based on the preset audio includes:

[0013] Get the sound pressure level of the range hood;

[0014] If the fluctuation of the sound pressure level is greater than a preset limit value, a target adjustment coefficient corresponding to the sound pressure level is obtained in a preset back pressure and adjustment coefficient relationship model;

[0015] The standard noise reduction audio is adjusted based on the target adjustment coefficient to obtain an adjusted noise reduction audio;

[0016] Performs noise reduction based on the adjusted noise reduction audio.

[0017] In some preferred embodiments of the present invention, the target adjustment coefficient is obtained by adjusting the optimization times, the variance of the sound pressure levels between two adjacent noise signal target points, and the sound pressure level constraint.

[0018] In some preferred embodiments of the present invention, after the step of performing noise reduction based on the adjusted noise reduction frequency, the method further comprises:

[0019] If the variance of the sound pressure level between two adjacent noise signal target points of the noise after noise reduction is greater than a limit value, the optimization times are updated, and the target adjustment coefficient is readjusted based on the updated optimization times until a preset first adjustment frequency is reached.

[0020] In some preferred embodiments of the present invention, after the step of performing noise reduction based on the adjusted noise reduction frequency, the method further comprises:

[0021] If the number of times the standard noise reduction frequency is adjusted based on the target adjustment coefficient reaches a preset second adjustment frequency, the relationship model between the back pressure and the adjustment coefficient is adjusted based on the operating back pressure.

[0022] In some preferred embodiments of the present invention, the second adjustment frequency is N times the first adjustment frequency; wherein N is a positive integer.

[0023] In some preferred embodiments of the present invention, the relationship between gear position and noise includes: a power and air volume relationship table and an air volume and noise relationship table;

[0024] The step of determining the noise variation range based on the preset gear position and noise relationship includes:

[0025] Determine the gear position before adjustment and the gear adjustment value corresponding to the range of the adjusted gear position;

[0026] Obtain the power value corresponding to the gear position and the power change value corresponding to the gear position adjustment value;

[0027] Determine the air volume change range based on the power value and the power change value in the power and air volume relationship table;

[0028] Determine the noise value corresponding to the gear position before adjustment and the noise change value corresponding to the gear position adjustment value based on the air volume change range in the air volume and noise relationship table;

[0029] A noise variation range is determined based on the noise value and the noise variation value.

[0030] In a second aspect, the present invention provides a fan noise reduction device, which is applied to a controller of a range hood, comprising:

[0031] The gear determination module is used to respond to the gear adjustment instruction of the range hood and determine the range of the adjusted gear;

[0032] A noise variation range determination module, used to determine the noise variation range based on a preset gear position and noise relationship;

[0033] A speed regulation interval determination module, used to divide the noise variation range into a plurality of speed regulation intervals according to a preset division interval;

[0034] A fan speed control module, used to adjust the fan speed based on the speed corresponding to the speed control interval endpoint and the preset speed control time;

[0035] A collection point determination module is used to determine multiple noise signal target points at equal speed intervals during the speed regulation process;

[0036] The noise reduction module is used to perform noise reduction based on a preset audio if the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value.

[0037] In a third aspect, the present invention provides an electronic device including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the fan noise reduction method of the first aspect.

[0038] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the fan noise reduction method of the first aspect.

[0039] The present invention brings the following beneficial effects:

[0040] The present invention provides a fan noise reduction method, device, electronic device and computer-readable storage medium, which are applied to a controller of a range hood, and include: responding to a gear adjustment instruction of the range hood, determining an interval of an adjusted gear; determining a noise variation range based on a preset gear and noise relationship; dividing the noise variation range into a plurality of speed adjustment intervals according to a preset segmentation interval; adjusting the speed of the fan based on the speed corresponding to the speed of the speed adjustment interval endpoint and a preset speed adjustment time; in the speed adjustment process, determining a plurality of noise signal target points at equal speed intervals; if the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value, performing noise reduction based on a preset audio; dividing the speed adjustment interval into a plurality of intervals according to a preset equal noise variation, detecting the sound pressure level in each interval, and if the fluctuation amplitude is greater than a preset value, performing noise reduction through a preset audio, thereby achieving precise noise reduction in a small range and improving user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 A flow chart of a fan noise reduction method provided by an embodiment of the present invention;

[0043] Figure 2 A diagram of the relationship between air volume and noise provided by an embodiment of the present invention;

[0044] Figure 3 A graph showing the relationship between the rotation speed and the sound pressure level provided by an embodiment of the present invention;

[0045] Figure 4 Another fan noise reduction method is provided for an embodiment of the present invention;

[0046] Figure 5 A schematic structural diagram of a fan noise reduction device provided by an embodiment of the present invention;

[0047] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0048] Icons: 310 - gear determination module; 320 - noise variation range determination module; 330 - speed regulation interval determination module; 340 - fan speed regulation module; 350 - collection point determination module; 360 - noise reduction module; 400 - memory; 401 - processor; 402 - bus; 403 - communication interface. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0050] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0052] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0053] In addition, the terms "horizontal", "vertical", "overhanging" and the like do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0054] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0056] Embodiment 1

[0057] The present invention provides a fan noise reduction method, which is applied to a range hood controller, see Figure 1 A flow chart of a fan noise reduction method provided by an embodiment of the present invention is shown, the method comprising:

[0058] Step S102, start.

[0059] Specifically, the range hood is turned on and runs in a stable gear, waiting for user instructions or operation information sent by the linkage device at any time; or the range hood is in a power-on standby state, waiting for a power-on operation instruction.

[0060] Step S104, responding to the range hood adjustment instruction and determining the range of the adjustment gear.

[0061] Specifically, during the use of the range hood, the user may adjust the working gear of the range hood according to different cooking needs. The controller will first detect whether there is a new gear adjustment request, which is usually achieved by sending a signal through the user interface (such as a button, touch screen or remote control application). It can also automatically adjust the gear according to the adjustment of the firepower of the linked stove. Once the gear adjustment instruction is detected, the controller immediately parses the instruction and identifies the new gear level that the user wants to achieve. According to the internal preset gear mapping relationship, this gear level is converted into the corresponding working parameter range, such as speed range, air volume, etc.

[0062] Step S106, determining the noise variation range based on the preset relationship between the gear position and the noise.

[0063] Specifically, in order to effectively control the noise level during fan operation, it is crucial to establish a detailed correspondence between gears and noise in advance. Based on the known gear information, the controller uses a database or algorithm model pre-stored in the system to predict or calculate the range of noise changes that may occur at that gear. These data may come from previous experimental tests, theoretical analysis, or a comprehensive evaluation of historical operating data. The system can estimate the acoustic performance that may occur under different working conditions without directly measuring the actual noise. This helps in the formulation of subsequent noise control strategies and makes the entire noise reduction process more proactive and preventive.

[0064] Furthermore, the relationship between gear and noise includes: a power and air volume relationship table and an air volume and noise relationship table; the step of determining the noise variation range based on the preset gear and noise relationship includes: determining the gear before adjustment and the gear adjustment value corresponding to the adjusted gear interval; obtaining the power value corresponding to the gear and the power change value corresponding to the gear adjustment value; determining the air volume variation range based on the power value and the power change value in the power and air volume relationship table; determining the noise value corresponding to the gear before adjustment and the noise change value corresponding to the gear adjustment value based on the air volume variation range in the air volume and noise relationship table; determining the noise variation range based on the noise value and the noise change value.

[0065] For details, see Figure 2 The embodiment of the present invention shown in the figure provides a relationship diagram between air volume and noise. The diagram is generated based on the measured data of the prototype. Q represents the air volume, N represents the noise, and the noise value is obtained when Q is known. In addition, the speed of the range hood is adjusted by the speed S, and the speed S is adjusted by the power W; therefore, if the air volume Q is adjusted, the input power can be adjusted to adjust the speed, thereby achieving adjustment. At the same time, it is worth noting that the Q, N curve is obtained by fitting, representing the trend of air volume and noise changes.

[0066] First, the current wind speed level of the range hood and its corresponding power value are obtained through the sensors and memory inside the controller. According to the user's instructions (for example, switching from low gear to medium gear), the wind speed level to be adjusted and the corresponding power change value are determined, and the power value and air volume value corresponding to the new level are further found based on the power and air volume comparison table. Using the air volume and noise relationship table, the noise change range is determined according to the new air volume value. There is usually a certain correlation between air volume and noise, that is, the greater the air volume, the higher the noise.

[0067] Step S108: dividing the noise variation range into a plurality of speed adjustment intervals according to preset division intervals.

[0068] Specifically, after determining the range of noise variation, these continuous noise values ​​are subdivided into several manageable speed ranges. This allows the fan to more precisely match the noise control requirements at different speeds. Each speed range represents a specific speed range, and the speeds within this range are believed to produce similar levels of noise output. For example, each speed range corresponds to a 1dB noise increase. Through such a division, it can be ensured that when the fan switches from one speed to another, the noise changes it produces are smooth and controllable, avoiding unnecessary noise shocks caused by sudden and large adjustments. In addition, this division also facilitates the individual processing and optimization of the noise characteristics in each interval in subsequent steps.

[0069] Step S110, adjusting the speed of the fan based on the speed corresponding to the endpoint of the speed adjustment interval and the preset speed adjustment time.

[0070] Specifically, after determining a clear speed regulation interval, the actual speed of the fan is adjusted according to the boundary conditions of each interval. This step involves the application of a precise control algorithm, which will design a progressive speed adjustment scheme based on the speed values ​​corresponding to the endpoints of the speed regulation interval and the preset speed regulation time parameters. In this way, the fan will not jump to the target speed immediately, but will gradually approach it at a gentle speed, thereby minimizing the instantaneous noise increase caused by the sudden change in speed. At the same time, a reasonable speed regulation time setting can also take into account the inertial characteristics of the mechanical system, avoid excessive stress on the motor and fan blades, and extend the service life of the equipment. The entire speed regulation process requires real-time monitoring of the operating status of the fan to ensure that it transitions smoothly in strict accordance with the predetermined trajectory.

[0071] Step S112: during the speed adjustment process, a plurality of noise signal target points are determined at equal speed intervals.

[0072] Specifically, by selecting these points at equal speed intervals, it is possible to ensure that there are corresponding noise control targets available for tracking and comparison throughout the speed range. This approach allows the system to quickly evaluate whether the current noise conditions meet the expected standards after each speed change, and make adjustments as needed. This dynamic adjustment mechanism improves the flexibility and adaptability of the system, and can better cope with uncertainties and changes in actual use.

[0073] Step S114: if the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value, noise reduction is performed based on the preset audio.

[0074] Specifically, during the entire speed regulation process, if the sound pressure level variance between two adjacent noise signal target points is monitored to exceed the preset threshold, this indicates that the current noise level fluctuation is beyond the acceptable range. In this case, the system will automatically trigger the preset noise reduction program. This may include measures such as adjusting the operating parameters of the fan (such as further fine-tuning the speed), activating additional sound insulation materials, or starting other auxiliary noise reduction equipment. It is important that these noise reduction actions should be based on the results of audio analysis, that is, targeted processing of noise components within a specific frequency range. In this way, not only can the overall noise level be effectively reduced, but the performance of the range hood can also be kept unaffected, providing users with a quiet and efficient kitchen environment.

[0075] Step S116, end.

[0076] Specifically, the range hood ends the noise reduction gear adjustment and stably operates at the adjusted gear.

[0077] The present invention provides a fan noise reduction method, which is applied to a controller of a range hood, comprising: responding to a gear adjustment instruction of the range hood to determine an interval of an adjusted gear; determining a noise variation range based on a preset gear and noise relationship; dividing the noise variation range into a plurality of speed adjustment intervals according to a preset segmentation interval; adjusting the speed of the fan based on the speed corresponding to the speed of the speed adjustment interval endpoint and a preset speed adjustment time; in the speed adjustment process, determining a plurality of noise signal target points at equal speed intervals; if the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value, performing noise reduction based on a preset audio; dividing the speed adjustment interval into a plurality of intervals according to a preset equal noise variation, detecting the sound pressure level in each interval, and if the fluctuation amplitude is greater than a preset value, performing noise reduction through a preset audio, thereby achieving precise noise reduction in a small range and improving user experience.

[0078] Embodiment 2

[0079] The embodiment of the present invention provides another fan noise reduction method. On the basis of the above embodiment, the noise reduction frequency is further optimized by obtaining the sound pressure level of the range hood.

[0080] Furthermore, in some preferred embodiments of the present invention, the step of performing noise reduction based on preset audio includes: obtaining the sound pressure level of the range hood; if the fluctuation of the sound pressure level is greater than a preset limit value, obtaining a target adjustment coefficient corresponding to the sound pressure level in a preset back pressure and adjustment coefficient relationship model; adjusting the standard noise reduction audio based on the target adjustment coefficient to obtain an adjusted noise reduction audio; and performing noise reduction based on the adjusted noise reduction audio.

[0081] For details, see Figure 3 The embodiment of the present invention shown provides a relationship diagram between the rotation speed and the sound pressure level. The sound pressure levels corresponding to two adjacent noise signal target points are connected based on fitting based on theoretical values ​​or experimental data. It can be seen that the sound pressure levels corresponding to multiple rotation speeds between the two points fluctuate. If the fluctuation is greater than a preset limit value, the limit value may be 5% beyond the range. The operating back pressure of the range hood is collected, and the target adjustment coefficient corresponding to the sound pressure level is obtained in the preset back pressure and adjustment coefficient relationship model. The preset back pressure and adjustment coefficient relationship model can be obtained by fitting the data tested in the laboratory before the prototype leaves the factory, or it can be obtained by multiple fittings during the initial use by the user. The standard noise reduction audio is adjusted by the target adjustment coefficient, and the noise reduction is performed by the adjusted noise reduction audio.

[0082] In some preferred embodiments of the present invention, the standard noise reduction frequency can be expressed as a sine wave, for example: Among them, y is the standard noise reduction frequency, A is the first coefficient, x is the second coefficient, is the offset; the adjusted audio can be expressed as: y1 is the adjusted noise reduction frequency, and K is the adjustment coefficient.

[0083] Furthermore, in some preferred embodiments of the present invention, the target adjustment coefficient is obtained by adjusting the optimization times, the variance of the sound pressure level between two adjacent noise signal target points, and the sound pressure level constraint.

[0084] Specifically, the adjustment coefficient can be expressed as: K = n × S / spl; the variance is divided by the sound pressure level and then multiplied by the optimization number n. S is the variance of the sound pressure level between two adjacent noise signal target points, n is the adjustment optimization number, and spl is the sound pressure level.

[0085] Furthermore, in some preferred embodiments of the present invention, after the step of performing noise reduction based on the adjusted noise reduction frequency, the method further includes:

[0086] If the variance of the sound pressure level between two adjacent noise signal target points of the noise after noise reduction is greater than a limit value, the optimization times are updated, and the target adjustment coefficient is readjusted based on the updated optimization times until a preset first adjustment frequency is reached.

[0087] Specifically, the first adjustment frequency can be set according to the specific situation, generally set to 10 times, and the adjustment coefficient is gradually adjusted through the above adjustment coefficient formula and fitted with the back pressure value. This method can establish a relationship model between back pressure and adjustment coefficient when the user initially uses the range hood.

[0088] Furthermore, in some preferred embodiments of the present invention, after the step of performing noise reduction based on the adjusted noise reduction frequency, the method further includes:

[0089] If the number of times the standard noise reduction frequency is adjusted based on the target adjustment coefficient reaches a preset second adjustment frequency, the relationship model between the back pressure and the adjustment coefficient is adjusted based on the operating back pressure.

[0090] Specifically, the back pressure and adjustment coefficient relationship model established earlier can be gradually adjusted during subsequent use by the user. The updated adjustment coefficient and the corresponding operating back pressure are monitored cyclically before reaching the second adjustment frequency. The model is updated once each time the number of monitored and recorded data reaches the second adjustment frequency. The model can be updated gradually, and good active noise reduction can still be performed after the equipment ages.

[0091] Furthermore, in some preferred embodiments of the present invention, the second adjustment frequency is N times the first adjustment frequency; wherein N is a positive integer.

[0092] Specifically, a relationship is established in which the second adjustment frequency is the first adjustment frequency, so that the model adjustment has consistency.

[0093] For example, see Figure 4The embodiment of the present invention shown provides another fan noise reduction method, inputting laboratory data into the controller of the range hood, the laboratory data mainly includes the relationship between the gear and the noise, etc.; deriving the noise speed data based on the above relationship; obtaining the instruction to adjust the gear, determining the user gear adjustment range; determining the speed change; further determining the noise change; obtaining the preset unit noise adjustment time; performing linear proportional fitting according to the adjustment time and the noise change, and outputting the adjustment data once; performing linear speed adjustment according to the adjustment data once, and the specific process includes: confirming the adjustment time, linearly adjusting the fan; recording the sound signal during the adjustment process, the recorded value can be the sound pressure level, and performing deviation judgment. If the deviation value is less than or equal to the limit value, the operation is maintained; if the deviation value is greater than the limit value, active noise reduction correction will be performed, and initially only the standard noise reduction frequency can be used for noise reduction. Further, after the back pressure and adjustment coefficient relationship model is established, back pressure monitoring can also be performed, and the adjustment coefficient is output according to the preset back pressure and adjustment coefficient relationship model, and the noise reduction frequency is optimized according to the adjustment coefficient. Continuously monitor whether the noise after active noise reduction meets the deviation requirements, if not, continue to maintain the correction operation; if yes, record the adjustment coefficient K and back pressure P. Specifically, the back pressure P can be continuously monitored to determine whether the back pressure fluctuation is greater than the limit value. If not, the back pressure P is continuously monitored; if yes, active noise reduction correction is performed, and the corrected noise is continuously monitored to see whether it meets the deviation requirements; and a back pressure and adjustment coefficient relationship model is established based on the adjustment coefficient K and back pressure P that meet the deviation requirements. Generally, the basic model can be established after recording data for 10 consecutive times.

[0094] Furthermore, if the number of recorded adjustment coefficients K and back pressure P is greater than 10 times, the optimization model can be gradually updated based on the recorded data.

[0095] Specifically, the prediction model is output, the input demand is confirmed, the prediction adjustment is output, and cyclic monitoring is performed. If the number of data records is greater than 10(N+1) times, the prediction model is output, the optimization model is updated, and the optimized model is run.

[0096] The purpose of the embodiment of the present invention is to establish a large model for the active noise reduction correction coefficient based on historical data, and optimize the active noise reduction correction coefficient at the same time. When a certain amount of samples are accumulated, the prediction model is used to predict the correction coefficient.

[0097] Specifically, first determine the adjustment gear during the first operation of the machine. Based on the laboratory imported data, the speed change range can be known. Based on the change in speed, the corresponding change value of the noise can be known, which is a positively correlated change.

[0098] According to the settings, set the duration of each adjustment. The setting time is not explained in detail here. The method of obtaining it can be based on the subjective evaluation method, that is, play the operation sound of the range hood at each adjustment duration, and select the most appropriate time interval through subjective evaluation and scoring.

[0099] Linear fitting is performed based on primary data. The method is that once the initial noise value is known, the subsequent noise is adjusted according to the slope of the first and last function. This adjustment is made according to the slope of the linear function. Of course, some sections may deviate from the linear function during the adjustment process, resulting in a greater impact. If active noise reduction is performed solely in this way, it will also be affected by the resistance of the public flue and will involve many factors.

[0100] The speed is divided into segments, and the sound pressure level deviation of each segment is calculated, that is, whether the variance S within the segment is greater than the set value. The specific set value is determined by the actual category. If it does not exceed the limit, normal operation is maintained.

[0101] If the limit is exceeded, active noise reduction is applied. The noise reduction uses the original active noise reduction value. It is worth noting that since it is pre-set, its value will definitely deviate from the pre-set value, so it needs to be iteratively optimized. The original sine waveform is y=Asin(ωx+φ), so the adjustment is made according to y=KAsin(ωx+φ), where the K value K=n×S / spl, which is the variance divided by the sound pressure level multiplied by the optimization number n, until the deviation value meets the requirements, and the correlation coefficient K and back pressure are recorded.

[0102] The system is iterated, and when the number of records reaches 10, a prediction model can be generated. In addition, cyclic monitoring is performed, and each record is a multiple of 10, the model space parameters are optimized. The corresponding correlation coefficient K can be obtained through parameters such as back pressure, and it is no longer necessary to perform iterative search.

[0103] Embodiment 3

[0104] Based on the above embodiments, the present invention provides a fan noise reduction device, which is applied to a range hood controller, see Figure 5 The structural schematic diagram of a fan noise reduction device provided by an embodiment of the present invention is shown, and the device includes:

[0105] The gear determination module 310 is used to respond to the gear adjustment instruction of the range hood and determine the range of the adjusted gear;

[0106] A noise variation range determination module 320, for determining a noise variation range based on a preset relationship between a gear position and noise;

[0107] A speed adjustment interval determination module 330, used to divide the noise variation range into a plurality of speed adjustment intervals according to a preset division interval;

[0108] The fan speed regulating module 340 is used to regulate the speed of the fan based on the speed corresponding to the endpoint of the speed regulating interval and the preset speed regulating time;

[0109] The collection point determination module 350 is used to determine a plurality of noise signal target points at equal speed intervals during the speed adjustment process;

[0110] The noise reduction module 360 ​​is configured to perform noise reduction based on a preset audio if the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value.

[0111] Furthermore, in some preferred embodiments of the present invention, the noise reduction module 360 ​​is used to obtain the sound pressure level of the range hood; if the fluctuation of the sound pressure level is greater than a preset limit value, a target adjustment coefficient corresponding to the sound pressure level is obtained in a preset back pressure and adjustment coefficient relationship model; the standard noise reduction audio is adjusted based on the target adjustment coefficient to obtain an adjusted noise reduction audio; and noise reduction is performed based on the adjusted noise reduction audio.

[0112] Furthermore, in some preferred embodiments of the present invention, the target adjustment coefficient is obtained by adjusting the optimization times, the variance of the sound pressure level between two adjacent noise signal target points, and the sound pressure level constraint.

[0113] Furthermore, in some preferred embodiments of the present invention, the device also includes: an adjustment coefficient optimization module, which is used to update the optimization times if the variance of the sound pressure level between two adjacent noise signal target points of the noise after noise reduction is greater than a limited value, and readjust the target adjustment coefficient based on the updated optimization times until the preset first adjustment frequency is reached.

[0114] Furthermore, in some preferred embodiments of the present invention, the relationship model optimization module is used to adjust the relationship model between back pressure and adjustment coefficient based on operating back pressure if the number of times the standard noise reduction frequency is adjusted based on the target adjustment coefficient reaches a preset second adjustment frequency.

[0115] Furthermore, in some preferred embodiments of the present invention, the second adjustment frequency is N times the first adjustment frequency; wherein N is a positive integer.

[0116] Furthermore, in some preferred embodiments of the present invention, the relationship between gear and noise includes: a power and air volume relationship table and an air volume and noise relationship table; a noise change range determination module 320, which is used to determine the noise change range based on the preset gear and noise relationship, including the following steps: determining the gear before adjustment and the gear adjustment value corresponding to the adjusted gear interval; obtaining the power value corresponding to the gear and the power change value corresponding to the gear adjustment value; determining the air volume change range based on the power value and the power change value in the power and air volume relationship table; determining the noise value corresponding to the gear before adjustment and the noise change value corresponding to the gear adjustment value based on the air volume change range in the air volume and noise relationship table; determining the noise change range based on the noise value and the noise change value.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the fan noise reduction device described above can refer to the corresponding process in the aforementioned embodiment of the fan noise reduction method, and will not be repeated here.

[0118] Embodiment 4

[0119] The embodiment of the present invention also provides an electronic device for running a fan noise reduction method; see Figure 6 The structural schematic diagram of an electronic device provided by an embodiment of the present invention is shown, and the electronic device includes a memory 400 and a processor 401, wherein the memory 400 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 401 to implement the above-mentioned fan noise reduction method.

[0120] Further, Figure 6 The electronic device shown further includes a bus 402 and a communication interface 403 , and the processor 401 , the communication interface 403 and the memory 400 are connected via the bus 402 .

[0121] The memory 400 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 402 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0122] The processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 401. The above processor 401 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 400, and the processor 401 reads the information in the memory 400 and completes the steps of the method of the above embodiment in combination with its hardware.

[0123] An embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned business recommendation method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0124] The computer program product of the fan noise reduction method, device and electronic device provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method in the previous method embodiment. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0125] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and / or device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0126] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0127] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A fan noise reduction method, characterized in that: Controllers used in range hoods include: Responding to the range hood gear adjustment instruction, determining the range of the adjusted gear; Determine the noise variation range based on the preset gear position and noise relationship; Dividing the noise variation range into a plurality of speed adjustment intervals according to preset division intervals; Adjusting the speed of the fan based on the speed corresponding to the endpoint of the speed regulation interval and the preset speed regulation time; During the speed regulation process, a plurality of noise signal target points are determined at equal speed intervals; If the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value, noise reduction is performed based on the preset audio.

2. The fan noise reduction method according to claim 1, characterized in that: The steps of performing noise reduction based on preset audio include: Obtaining the sound pressure level of the range hood; If the fluctuation of the sound pressure level is greater than a preset limit value, obtaining a target adjustment coefficient corresponding to the sound pressure level in a preset back pressure and adjustment coefficient relationship model; Adjusting the standard noise reduction audio frequency based on the target adjustment coefficient to obtain an adjusted noise reduction audio frequency; Performs noise reduction based on the adjusted noise reduction audio.

3. The fan noise reduction method according to claim 2, characterized in that: The target adjustment coefficient is obtained by adjusting the optimization times, the variance of the sound pressure level between two adjacent noise signal target points, and the sound pressure level constraint.

4. The fan noise reduction method according to claim 3, characterized in that: After the step of performing noise reduction based on the adjusted noise reduction frequency, the method further includes: If the variance of the sound pressure level between two adjacent noise signal target points of the noise after noise reduction is greater than the limit value, the optimization times are updated, and the target adjustment coefficient is readjusted based on the updated optimization times until a preset first adjustment frequency is reached.

5. The fan noise reduction method according to claim 4, characterized in that: After the step of performing noise reduction based on the adjusted noise reduction frequency, the method further includes: If the number of times the standard noise reduction frequency is adjusted based on the target adjustment coefficient reaches a preset second adjustment frequency, the back pressure and adjustment coefficient relationship model is adjusted based on the sound pressure level.

6. The fan noise reduction method according to claim 5, characterized in that: The second adjustment frequency is N times the first adjustment frequency; wherein N is a positive integer.

7. The fan noise reduction method according to claim 1, characterized in that: The relationship between gear position and noise includes: a power and air volume relationship table and an air volume and noise relationship table; The step of determining the noise variation range based on the preset gear position and noise relationship includes: Determine the gear position before adjustment and the gear adjustment value corresponding to the range of the adjusted gear position; Obtaining a power value corresponding to the gear position and a power change value corresponding to the gear position adjustment value; Determine the air volume variation range based on the power value and the power variation value in the power and air volume relationship table; Determine, in the air volume and noise relationship table, the noise value corresponding to the gear position before adjustment and the noise change value corresponding to the gear position adjustment value based on the air volume change range; The noise variation range is determined based on the noise value and the noise variation value.

8. A fan noise reduction device, characterized in that: Controllers used in range hoods include: A gear determination module (310), used to respond to the gear adjustment instruction of the range hood and determine the range of the adjusted gear; A noise variation range determination module (320), used to determine the noise variation range based on a preset relationship between gear position and noise; A speed regulation interval determination module (330), used for dividing the noise variation range into a plurality of speed regulation intervals according to preset segmentation intervals; A fan speed regulation module (340), used for regulating the speed of the fan based on the speed corresponding to the endpoint of the speed regulation interval and a preset speed regulation time; A collection point determination module (350) is used to determine a plurality of noise signal target points at equal rotational speed intervals during the rotational speed adjustment process; The noise reduction module (360) is used to perform noise reduction based on preset audio if the variance of the sound pressure level between two adjacent noise signal target points is greater than a preset limit value.

9. An electronic device, characterized in that: It comprises a processor (401) and a memory (400), wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the fan noise reduction method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to implement the fan noise reduction method according to any one of claims 1 to 7.

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