Noise reduction method and device of water purifier, water purifier, storage medium and program product

Abstract

The invention discloses a noise reduction method and device of a water purifier, the water purifier, a storage medium and a program product, and relates to the technical field of intelligent kitchen appliances. The method comprises the following steps: acquiring a first noise value in response to a water purification instruction of a target water purifier; when the first noise value is greater than the target noise value, determining a first noise deviation value between the first noise value and the target noise value; determining a first volume variation of a silencing cavity of the target water purifier based on the first noise deviation value; wherein the silencing cavity is filled with water in the water purification process of the target water purifier; determining a first moving length of a push rod of the target water purifier based on the first volume variation, and determining working parameters of a motor of the target water purifier based on the first moving length. According to the scheme, the problem that the noise of the water purifier is large in the water purification process is solved, the bottleneck of a traditional passive noise reduction mode is broken through, the noise can be continuously and effectively reduced in the water purification process, and the use experience of a user is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent kitchen electrical appliances, and in particular to a noise reduction method and device for a water purifier, the water purifier, a storage medium and a program product. BACKGROUND

[0002] In recent years, with the continuous improvement of science and technology and economic level, people's demand for drinking water is also getting higher and higher. Traditional tap water may be affected by factors such as pipeline aging and secondary water pollution during transportation, and it is difficult to fully meet the demand for healthy drinking water. Under this background, water purification equipment has gradually become a standard product in families, commercial places and even part of industrial scenes. Among them, the reverse osmosis membrane (RO membrane) water purifier has been widely used and favored because it can effectively remove heavy metals, bacteria, viruses, organic matter and dissolved solids and other pollutants in water, and the water quality is close to pure water. Especially the large flux RO membrane water purifier, with its advantages of no need for water storage pressure tank, instant filtration and drinking, fast water output, etc., has become the mainstream development direction in the market.

[0003] However, in actual application, the large flux RO membrane water purifier has a more significant technical pain point in the running process. Since its working principle relies on a high-pressure pump to pressurize the raw water through the RO membrane to achieve efficient separation, this process is usually accompanied by high water pressure fluctuations and fluid dynamic noise. Especially in the stages of water inlet, pressure increase, concentrated water discharge and high-pressure pump start-stop, water flow impact, pipeline vibration, cavitation effect and resonance phenomenon are easy to occur in the waterway system, thereby causing obvious running noise. At present, the common noise reduction methods in the industry mainly include: using a silent pump, increasing a shock pad, optimizing the layout of the pipeline, and wrapping the waterway components with sound insulation materials. These methods all belong to passive noise reduction, and have obvious limitations - the noise reduction effect is fixed and cannot be dynamically adjusted according to the actual running conditions, making it difficult to achieve sustained and effective suppression.

[0004] How to break through the bottleneck of the traditional passive noise reduction mode and achieve sustained and effective reduction of noise in the water purification process to improve the user experience is an important problem in the industry. SUMMARY

[0005] The present application provides a noise reduction method and device for a water purifier, the water purifier, a storage medium and a program product to break through the bottleneck of the traditional passive noise reduction mode, which can achieve sustained and effective reduction of noise in the water purification process and improve the user experience.

[0006] According to an aspect of the present application, a noise reduction method for a water purifier is provided, applied to a water purifier, the water purifier comprising a sound attenuation cavity, the sound attenuation cavity being variable in volume, the method comprising:

[0007] acquire a first noise value in response to a water purification instruction of a target water purifier;

[0008] determine a first noise deviation value between the first noise value and a target noise value when the first noise value is greater than the target noise value;

[0009] determine a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value, wherein the sound attenuation cavity is filled with water during a water purification process of the target water purifier;

[0010] determine a first moving length of a push rod of the target water purifier based on the first volume change amount, and determine an operating parameter of a motor of the target water purifier based on the first moving length.

[0011] According to another aspect of the present application, there is provided a noise reduction device of a water purifier, which is arranged in a water purifier comprising a sound attenuation cavity with a variable volume, and the device comprises:

[0012] a first noise value acquisition module configured to acquire a first noise value in response to a water purification instruction of a target water purifier;

[0013] a first noise deviation value determination module configured to determine a first noise deviation value between the first noise value and a target noise value when the first noise value is greater than the target noise value;

[0014] a first volume change amount determination module configured to determine a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value, wherein the sound attenuation cavity is filled with water during a water purification process of the target water purifier;

[0015] an operating parameter determination module configured to determine a first moving length of a push rod of the target water purifier based on the first volume change amount, and determine an operating parameter of a motor of the target water purifier based on the first moving length.

[0016] According to another aspect of the present application, there is provided a water purifier, which comprises:

[0017] at least one processor; and

[0018] a memory connected to the at least one processor in communication; wherein

[0019] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the noise reduction method of the water purifier according to any one of the embodiments of the present application.

[0020] According to another aspect of the present application, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the noise reduction method of the water purifier according to any of the embodiments of the present application when executed by the processor.

[0021] According to another aspect of the present application, there is provided a computer program product comprising a computer program for implementing the noise reduction method of the water purifier according to any of the embodiments of the present application when executed by a processor.

[0022] The technical solution of the embodiments of the present application comprises the following steps: obtaining a first noise value in response to a water purification instruction of a target water purifier; determining a first noise deviation value between the first noise value and a target noise value when the first noise value is greater than the target noise value; determining a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value, wherein the sound attenuation cavity is filled with water during the water purification process of the target water purifier; determining a first movement length of a push rod of the target water purifier based on the first volume change amount, and determining an operating parameter of a motor of the target water purifier based on the first movement length; determining a noise deviation value between the first noise value and the target noise value, and determining a volume change amount of the sound attenuation cavity based on the noise deviation value; further, the push rod can be driven by changing the operating parameter of the motor to increase the volume of the sound attenuation cavity, so that the volume of the water stored in the sound attenuation cavity is increased, and the sound absorbed is also increased, thereby reducing the noise of the water purifier, solving the problem of high noise during the water purification process of the water purifier, breaking through the bottleneck of the traditional passive noise reduction mode, and continuously and effectively reducing the noise during the water purification process, thereby improving the user experience.

[0023] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0025] Figure 1 is a flowchart of a noise reduction method of a water purifier according to an embodiment of the present application;

[0026] Figure 2 is a structural schematic diagram of a target water purifier according to an embodiment of the present application;

[0027] Figure 3 is a flow chart for determining the relationship between the noise bias value and the volume change amount according to the second embodiment of the present application;

[0028] Figure 4 is a flow chart for the noise reduction method of the water purifier according to the third embodiment of the present application;

[0029] Figure 5 is a flow chart for the noise reduction method of the water purifier according to the fourth embodiment of the present application;

[0030] Figure 6 is a structural schematic diagram of the noise reduction device of the water purifier according to the fifth embodiment of the present application;

[0031] Figure 7 is a structural schematic diagram of the water purifier for implementing the noise reduction method of the water purifier according to the embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to make the personnel in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by the person of ordinary skill in the art without creative labor should belong to the scope of protection of the present application.

[0033] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0034] Embodiment one

[0035] Figure 1is a flow chart of a noise reduction method of a water purifier according to an embodiment of the present application. The embodiment can be applied to the case of reducing noise in the process of purifying water by the water purifier. The method can be executed by a noise reduction device of the water purifier, which can be implemented in the form of hardware and / or software, and can be configured in the water purifier (for example, a large-flux RO membrane water purifier). In the embodiment, the water purifier can include a sound-absorbing cavity, and the volume of the sound-absorbing cavity can be variable.

[0036] Specifically, as shown in the method includes: Figure 1

[0037] Step 110, in response to the water purification instruction of the target water purifier, obtaining a first noise value.

[0038] In the embodiment, the target water purifier can be a large-flux RO (for example, greater than 400G) membrane reverse osmosis water purifier installed in any home user market or restaurant, which is not limited in the embodiment.

[0039] Optionally, in the embodiment, the noise value of the target water purifier can be obtained in real time after receiving the water purification instruction of the target water purifier, that is, in the case of determining that the pure water faucet of the target water purifier is opened; or the noise value of the target water purifier can be obtained once every interval of a set time interval (for example, 10 seconds, 30 seconds or 1 minute, etc.). In order to facilitate the description, the obtained noise value is referred to as the first noise value, which can also be named as other noise values, such as the current noise value or the reference noise value, etc., which is not limited in the embodiment.

[0040] Optionally, in the embodiment, the target water purifier is deployed with a noise sensor, which is in communication connection with the control module. Figure 2 is a structural diagram of a target water purifier according to an embodiment of the present application, as shown in Figure 2 The target water purifier 200 can include a raw water inlet 201, a pretreatment filter element 202, a water inlet valve 203, a booster pump 204, a sound-absorbing cavity 205, a push rod 206, a motor 207, a waterway 208, a pressure sensor 209, an RO membrane filter element 2010, a wastewater valve 2011, a one-way high-pressure switch 2012, a flow sensor 2013, a pure water faucet 2014, a noise sensor 2015, and a control module 2016.

[0041] In the embodiment, the noise sensor 2015 can be a microphone or other sound collecting module, which is not limited in the embodiment.

[0042] ​Optionally, in the embodiment, the water purification process of the target water purifier 200 can be as follows: the purified water faucet 2014 is opened, the one-way high-voltage switch 2012 is turned on due to the decrease of the pressure value, the system starts the water purification working process, the raw water enters through the raw water inlet 201, is coarsely filtered through the pretreatment filter element 202, is pressurized through the booster pump, and enters the water path 208, part of which enters the sound attenuation cavity 205, after pressurization, the water continues to be filtered through the RO membrane filter element 2010, the purified water is discharged along the flow sensor 2013 and the purified water faucet 2014, and the wastewater is discharged along the wastewater valve 2011; when the water purification is performed, the water inlet valve 203 is opened and the booster pump 204 works, and when the purified water faucet 2014 is closed, the one-way high-voltage switch 2012 is turned off due to the increase of the pipeline pressure value, and the system stops water purification, at this time, the water inlet valve 203 is closed and the booster pump 204 stops working.

[0043] Optionally, in the embodiment, obtaining the first noise value can include: obtaining, by the noise sensor, a first noise value of the booster pump of the target water purifier in real time, and transmitting the first noise value to the control module.

[0044] In an optional implementation manner of the embodiment, the noise sensor 2015 can detect the noise generated by the booster pump 204 of the target water purifier 200 in the water purification process in real time, which is referred to as a first noise value in the embodiment, and further, the noise sensor 2015 can transmit the detected first noise value to the control module 2016, so that the control module 2016 performs subsequent processing based on the first noise value.

[0045] Step 120: determining a first noise deviation value of the first noise value and the target noise value when the first noise value is greater than the target noise value.

[0046] The target noise value can be 53 dB, 52 dB, or 50 dB, and the like, which is not limited in the embodiment; it should be noted that the specific value of the target noise value can be determined based on the manufacturing standard of the water purifier.

[0047] Optionally, in the embodiment, after obtaining the first noise value, if it is determined that the first noise value is greater than the target noise value, that is, it is determined that the current noise of the water purifier exceeds the preset maximum noise value (target noise value), the difference between the first noise value and the target noise value can be further determined, that is, the first noise deviation value can be obtained by the first noise value-target noise value.

[0048] For example, in an example of the embodiment, if the first noise value is 60 dB and the target noise value is 53 dB, the first noise deviation value is 60 dB-53 dB=7 dB.

[0049] Step 130, determining a first volume change of the sound elimination cavity of the target water purifier based on the first noise deviation value.

[0050] Wherein, the sound elimination cavity is filled with water during the water purification process of the target water purifier; it can be understood that the noise generated by the booster pump can be effectively absorbed by the water stored in the sound elimination cavity, because when the sound wave passes through the medium such as water, its energy will be gradually absorbed due to various factors, and converted into other forms of energy (such as heat energy).

[0051] Optionally, in the embodiment, after the first noise deviation value is determined based on the first noise value and the target noise value, the volume change of the sound elimination cavity of the target water purifier can be further determined based on the first noise deviation value, which is referred to as the first volume change in the embodiment.

[0052] As shown in Figure 2 The sound elimination cavity 205 involved in the embodiment can be a cuboid cavity. With the up and down movement of the push rod 206 driven by the motor 207, the volume of the sound elimination cavity 205 will change (mainly the height of the sound elimination cavity 205 changes); it can be understood that in the embodiment, the larger the volume of the sound elimination cavity 205, the more noise it can absorb, and the better the noise reduction effect.

[0053] In an optional implementation manner of the embodiment, the relationship between the noise deviation value and the volume change of the sound elimination cavity (for example, linear relationship or nonlinear relationship, which is not limited in the embodiment) can be determined in advance; further, after the first noise deviation value is obtained, the first volume change of the sound elimination cavity can be determined based on the determined relationship between the noise deviation value and the volume change of the sound elimination cavity.

[0054] Step 140, determining a first movement length of the push rod of the target water purifier based on the first volume change, and determining a working parameter of the motor of the target water purifier based on the first movement length.

[0055] Wherein, the working parameter of the motor can include at least one of the following: rotation speed, rotation angle, input voltage, input current and torque.

[0056] Optionally, in the embodiment, after the first volume change of the sound elimination cavity is determined, the movement length of the push rod of the target water purifier can be further determined based on the first volume change of the sound elimination cavity, which is referred to as the first movement length in the embodiment; further, the working parameter of the motor can be determined based on the first movement length, for example, the rotation speed, rotation angle, input voltage, input current or torque of the motor, etc.

[0057] It can be understood that in the embodiment, the volume change of the sound attenuation cavity is mainly caused by the height change of the sound attenuation cavity, so in the embodiment, the height change of the sound attenuation cavity can be determined based on the first volume change amount, and further, the height change can be directly determined as the first movement length of the push rod; further, based on the relationship between the motor and the push rod, the speed change, the rotation angle change or the torque change of the motor under the first movement length can be determined, and further, the motor can be driven based on these change parameters, so as to drive the push rod to move, and further, the volume of the sound attenuation cavity is increased, and the noise absorption amount is increased.

[0058] The technical scheme of the embodiment, in response to the water purification instruction of the target water purifier, acquires a first noise value; in the case that the first noise value is greater than the target noise value, a first noise deviation value between the first noise value and the target noise value is determined; based on the first noise deviation value, a first volume change amount of a sound attenuation cavity of the target water purifier is determined; wherein the sound attenuation cavity is filled with water during the water purification process of the target water purifier; based on the first volume change amount, a first movement length of a push rod of the target water purifier is determined, and based on the first movement length, an operating parameter of a motor of the target water purifier is determined; the noise deviation value between the acquired first noise value and the target noise value is determined, and based on the noise deviation value, the volume change amount of the sound attenuation cavity is determined; further, the push rod can be driven by changing the operating parameter of the motor to increase the volume of the sound attenuation cavity, and the volume of the water stored in the sound attenuation cavity can be increased, so the sound absorbed is also increased, thereby reducing the noise of the water purifier, solving the problem of large noise of the water purifier during the water purification process, breaking through the bottleneck of the traditional passive noise reduction mode, and continuously and effectively reducing the noise during the water purification process, thereby improving the user experience.

[0059] Embodiment two

[0060] Figure 3 It is a flowchart for determining the relationship between the noise deviation value and the volume change amount according to the embodiment two of the application. The technical scheme in the embodiment is a further refinement of the above technical scheme, and can be combined with each optional scheme in one or more of the above embodiments.

[0061] It can be understood that in the embodiment, the relationship between the noise deviation value and the volume change amount of the sound attenuation cavity of the target water purifier can be determined before the target water purifier is shipped or before the target water purifier is formally used, so that in the subsequent use process, the volume change amount of the sound attenuation cavity can be quickly determined based on the noise deviation value, and the execution efficiency of the algorithm is improved; specifically, as shown in Figure 3 The determination of the relationship between the noise deviation value and the volume change amount can include:

[0062] Step 310: Obtain the noise set of the target water purifier during the water purification process through the noise sensor in the target water purifier.

[0063] The noise set includes multiple second noise values, and each second noise value is greater than the target noise value.

[0064] Optionally, in this embodiment, the noise values ​​exceeding the target noise value of the target water purifier can be obtained by the noise sensor in the target water purifier. In this embodiment, these are referred to as the second noise values. For example, if the target noise value is 53dB, then the second noise values ​​in the noise set can be 54dB, 55dB, 56dB, 59dB, 60dB, or 62dB, etc. In this embodiment, the number and specific values ​​of the second noise values ​​are not limited.

[0065] Optionally, in this embodiment, after obtaining each second noise value, a second noise deviation value can also be determined based on the difference between the second noise value and the target noise value. For example, in the above examples, the second noise deviation values ​​are 1dB, 2dB, 3dB, 6dB, 7dB and 9dB respectively.

[0066] Step 320: Determine the second volume of the silencing cavity corresponding to the target second noise value, and move the push rod by the motor until the target second noise value is equal to the target noise value, and determine the third volume of the silencing cavity when the push rod stops moving.

[0067] In this embodiment, based on each second noise value (the volume of the silencing cavity corresponding to the second noise value is referred to as the second volume in this embodiment), the volume of the silencing cavity can be changed by pushing the push rod through the motor. When the noise value detected by the noise sensor decreases from the second noise value to the target noise value or below the target noise value, the motor stops pushing the push rod. In this embodiment, the volume of the silencing cavity at this time is referred to as the third volume.

[0068] For example, if the second noise value is 56dB, the volume of the silencing cavity is 20cm². 3 (Second volume); At this point, the push rod can be moved by the motor, and the noise value detected by the noise sensor can be obtained in real time. When the detected noise value is 53dB, the motor stops moving the push rod, and the volume of the silencing cavity is 30cm³. 3 In this embodiment, it is referred to as the third volume.

[0069] Step 330: Determine the second volume change of the silencing cavity based on the third volume and the second volume.

[0070] Optionally, in the embodiment, after the third volume of the sound attenuation cavity and the second volume are obtained, the volume change amount of the sound attenuation cavity, referred to as the second volume change amount in the embodiment, can be further determined based on the difference between the third volume and the second volume. For example, in the above example, the second volume change amount is 30 cm 3 -20 cm 3 =10 cm 3 .

[0071] In step 340, the relationship between the noise deviation value and the volume change amount is determined based on the second noise deviation values and the second volume change amounts.

[0072] Optionally, in the embodiment, after the second noise values and the second volume change amounts are determined, the relationship between the noise deviation value and the volume change amount can be further determined based on the second noise deviation values and the second volume change amounts. It can be understood that the relationship between the noise deviation value and the volume change amount can be a linear relationship or a nonlinear relationship, which is not limited in the embodiment.

[0073] Optionally, determining the relationship between the noise deviation value and the volume change amount based on the second noise deviation values and the second volume change amounts can include: determining a target function; inputting each of the second noise deviation values and each of the second volume change amounts into the target function for solving to obtain a relationship curve between the noise deviation value and the volume change amount; or inputting each of the second noise deviation values and each of the second volume change amounts into a target convolutional neural network for iterative training, and obtaining a target machine learning model under the condition that the iteration is stopped. The input of the target machine learning model is the noise deviation value, and the output is the volume change amount of the sound attenuation cavity.

[0074] In an optional implementation manner of the embodiment, after the second noise values and the second volume change amounts are determined, a target function can be further determined. The target function can be a linear function, for example, f(x)=ax+b, where a and b are constants; or a quadratic function, for example, f(x)=ax 2 +bx+c, where a, b, and c are constants; or f(x)=ax, where a>0 and a≠1; or other forms of functions, which are not limited in the embodiment.

[0075] Further, each of the second noise deviation values and each of the second volume change amounts corresponding to the second noise deviation values can be input into the target function for solving to calculate the specific values of the constants in the target function, so as to obtain the relationship curve between the noise deviation value and the volume change amount.

[0076] In another optional implementation of the embodiment, after the second noise values and the second volume change amounts are determined, the second noise deviation values and the second volume change amounts can be further input into a target convolutional neural network (for example, LeNet network, residual network or dense connection network, etc., which are not limited in the embodiment) for iterative training. In the embodiment, a second noise deviation value and a second volume change amount matched therewith are determined as a data pair. In the training process, the second noise deviation values and the second volume change amounts matched therewith can be input into the target convolutional neural network in the form of data pairs for iterative training. When the iteration stopping condition is met (for example, when the iteration number reaches a set number threshold or the output accuracy reaches a set accuracy threshold), the target machine learning model is obtained.

[0077] In the embodiment, the target machine learning model inputs the noise deviation value and outputs the volume change amount of the sound attenuation cavity, which can be used to determine the volume change amount of the sound attenuation cavity based on the noise deviation value.

[0078] The scheme of the embodiment can quickly and accurately determine the relationship between the noise deviation value and the volume change amount of the sound attenuation cavity of the target water purifier based on different ways before the target water purifier is shipped or before the target water purifier is formally used. In the subsequent use of the target water purifier, the volume change amount of the sound attenuation cavity can be quickly determined based on the noise deviation value, which improves the execution efficiency of the algorithm and provides help for improving the user experience.

[0079] Embodiment three

[0080] Figure 4 is a flowchart of a noise reduction method of a water purifier according to embodiment three of the application. The embodiment is a further refinement of the above technical solution. The technical solution in the embodiment can be combined with one or more optional schemes in the above embodiments. As shown in the figure, the method comprises: Figure 4

[0081] Step 410: acquiring a first noise value of a booster pump of the target water purifier in real time through the noise sensor and transmitting the first noise value to the control module.

[0082] Step 420: determining a first noise deviation value of the first noise value and the target noise value when the first noise value is greater than the target noise value.

[0083] Step 430: determining a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value.

[0084] ​Optionally, determining the first volume change of the sound attenuation cavity of the target water purifier based on the first noise deviation value can include: inputting the first noise deviation value into the relationship curve between the noise deviation value and the volume change to obtain the first volume change; or inputting the first noise deviation value into the target machine learning model to perform iterative calculation to obtain the first volume change.

[0085] In an optional implementation of the embodiment, after the first noise deviation value is determined, the determined first noise deviation value can be further input into the relationship curve between the noise deviation value and the volume change determined in the above embodiment to obtain the first volume change.

[0086] In another optional implementation of the embodiment, after the first noise deviation value is determined, the determined first noise deviation value can be further input into the target machine learning model determined in the above embodiment to perform iterative calculation to obtain the first volume change.

[0087] Step 440, determining the size information of the sound attenuation cavity; determining a height change of the sound attenuation cavity corresponding to the first volume change, and determining the height change as the first movement length.

[0088] The size information includes the length, width, and height of the sound attenuation cavity.

[0089] In the embodiment, the size information of the sound attenuation cavity can be obtained from the product manual of the target water purifier, for example, the length, width, and height of the sound attenuation cavity can be obtained. It can be understood that in the embodiment, the length and width of the sound attenuation cavity are fixed and unchangeable, and the height of the sound attenuation cavity can change with the movement of the push rod.

[0090] In the embodiment, after the size information of the sound attenuation cavity is obtained, the height change of the sound attenuation cavity corresponding to the first volume change can be further determined, and the height change can be further determined as the first movement length.

[0091] For example, in an example of the embodiment, the product of the length and width of the sound attenuation cavity is 4 cm 2 , the initial height is 5 cm, the volume is 20 cm 3 , the first volume change is 10 cm 3 , and the changed volume is 30 cm 3 . In the case where the length and width of the sound attenuation cavity are unchanged, that is, the product of the length and width is 4 cm 2At this time, the height of the sound attenuation cavity is 7.5 cm, i.e., the height variation is 2.5 cm. Further, the height variation can be determined as the first movement length, i.e., the first movement length is 2.5 cm.

[0092] Step 450, determining the transmission relationship between the motor and the push rod, determining the working parameter of the motor based on the transmission relationship and the first movement length.

[0093] The working parameter of the motor includes at least one of the following: rotation speed, rotation angle, input voltage, input current and torque.

[0094] In the embodiment, the transmission relationship between the motor and the push rod can be a screw nut mechanism or a gear and rack mechanism, which is not limited in the embodiment.

[0095] Optionally, in the embodiment, after the first movement length of the push rod is determined, the transmission relationship between the motor and the push rod can be further determined, and the working parameter of the motor is determined based on the transmission relationship and the first movement length.

[0096] In an optional implementation manner of the embodiment, if the transmission relationship between the motor and the push rod is a screw nut mechanism, i.e., the motor drives the screw to rotate, the nut moves linearly along the screw to push the push rod, the relationship between the movement length ΔL of the push rod and the rotation number N of the screw and the lead P can be ΔL=NP; wherein N is the rotation number of the screw, and P is the lead of the screw (i.e., the distance of the nut moving per rotation); further, the rotation number of the motor can be determined according to the movement length.

[0097] In another optional implementation manner of the embodiment, if the transmission relationship between the motor and the push rod is a gear and rack mechanism, i.e., the motor drives the rack to move linearly through the gear to push the push rod, the relationship between the movement length ΔL of the push rod and the rotation angle θ of the gear and the pitch p of the gear can be ΔL=θp.

[0098] ;

[0099] Further, the rotation angle of the motor can be determined according to the movement length.

[0100] In a specific example of the embodiment, it is assumed that the movement length ΔL of the push rod is 0.1 m; the screw nut mechanism is used, the lead P of the screw is 0.005 m; the time t for the push rod to complete the movement is 5 s; the total resistance F of the push rod is 50 N; and the radius r of the screw is 0.01 m.

[0101] (1) The rotation number N of the motor is calculated: N=ΔL / P==20 turns;

[0102] (2) Calculate the rotation speed of the motor: RPM=(N / t)×60=240 RPM;

[0103] (3) Calculate the torque of the motor: T=Fxr=0.5 Nm;

[0104] (4) Calculate the power of the motor:

[0105] Angular velocity: ω=(2π×RPM) / 60=8π rad / s;

[0106] Power: P=Txω≈12.57 W.

[0107] The scheme of the embodiment can quickly obtain the first volume change of the sound attenuation cavity in different ways after the first noise value is determined, provide a basis for determining the moving length of the push rod driven by the motor, and quickly determine the working parameters of the motor to help the push rod move a corresponding length, improve the execution efficiency of the algorithm, and quickly achieve the noise reduction of the target water purifier.

[0108] Embodiment Four

[0109] Figure 5 is a flowchart of a noise reduction method of a water purifier provided according to Embodiment Four of the present application. The embodiment is a further refinement of the above technical solution, and the technical solution in the embodiment can be combined with each of the optional schemes in one or more of the above embodiments. As shown in the figure, the method comprises: Figure 5

[0110] Step 510, receiving a first flow value detected by a flow sensor and a first pressure value detected by a pressure sensor; in a case where it is determined that the first pressure value is greater than a target pressure value and the first flow value is less than a target flow value, determining a first pressure deviation value of the first pressure value and the target pressure value, and a first flow deviation value of the first flow value and the target flow value; driving the variable frequency of the booster pump motor based on the first pressure deviation value and the first flow deviation value, so that the rotation speed of the booster pump motor is increased; in a case where it is determined that the first flow value is greater than or equal to the target flow value, stopping driving the variable frequency of the booster pump motor.

[0111] Wherein, the target pressure value can be 95 PSI, and the target flow value can be 2 LPM, which is not limited in the embodiment.

[0112] ​Optionally, in the embodiment, during the water purification process of the target water purifier, the control module of the water purifier can receive the first flow value detected by the flow sensor and the first pressure value detected by the pressure sensor in real time; if it is determined that the first pressure value is greater than the target pressure value and the first flow value is less than the target flow value, the first pressure deviation value can be further determined based on the difference between the first pressure value and the target pressure value, and the first flow deviation value can be determined based on the difference between the first flow value and the target flow value; further, the frequency conversion of the booster pump motor can be driven based on the first pressure deviation value and the first flow deviation value, so that the rotation speed of the booster pump motor is increased; if it is determined that the first flow value is greater than or equal to the target flow value, the frequency conversion of the booster pump motor is stopped.

[0113] In an optional implementation manner of the embodiment, when the control module detects that the pressure is greater than 95 PSI and the flow value is less than 2.0 LPM, there is a deviation from the design, and the control module drives the frequency conversion of the booster pump motor according to the deviation signal, so that the rotation speed is increased (1200<rotation speed<1600); when it is detected that the flow value is greater than or equal to 2.0 LPM, the control module releases the driving of the frequency conversion of the motor, maintains the current state and tends to be stable, so that it can be ensured that the output flow meets the design requirements.

[0114] Step 520, during the driving of the frequency conversion of the booster pump motor based on the first pressure deviation value and the first flow deviation value, if it is detected that the first noise value is greater than the target noise value, the first noise deviation value of the first noise value and the target noise value is determined, the first volume change amount of the sound attenuation cavity of the target water purifier is determined based on the first noise deviation value, the first moving length of the push rod of the target water purifier is determined based on the first volume change amount, and the operation of the working parameter of the motor of the target water purifier is determined based on the first moving length, until the first noise value is less than or equal to the target noise value.

[0115] Optionally, in an optional implementation manner of the embodiment, during the driving of the frequency conversion of the booster pump motor based on the first pressure deviation value and the first flow deviation value, if it is detected that the first noise value is greater than the target noise value, the first noise deviation value of the first noise value and the target noise value is determined, the first volume change amount of the sound attenuation cavity of the target water purifier is determined based on the first noise deviation value, the first moving length of the push rod of the target water purifier is determined based on the first volume change amount, and the operation of the working parameter of the motor of the target water purifier is determined based on the first moving length, until the first noise value is less than or equal to the target noise value, so that it can be prevented that the noise becomes larger during the increase of the booster pump, and it can be ensured that the water purification amount of the water purifier and the noise of the water purifier are not too large.

[0116] The scheme of the embodiment can be summarized as follows: in the process of water purification, the control module of the water purifier can receive a first flow value detected by a flow sensor and a first pressure value detected by a pressure sensor in real time; if it is determined that the first pressure value is greater than a target pressure value and the first flow value is less than a target flow value, a first pressure deviation value can be determined based on the difference between the first pressure value and the target pressure value, and a first flow deviation value can be determined based on the difference between the first flow value and the target flow value; further, the first pressure deviation value and the first flow deviation value can be used to drive the variable frequency of the booster pump motor, so that the rotation speed of the booster pump motor is increased; if it is determined that the first flow value is greater than or equal to the target flow value, the variable frequency of the booster pump motor is stopped, so that the water purification amount of the water purifier can be ensured, and the noise of the water purifier can be prevented from being too large.

[0117] In order to better understand the noise reduction method of the water purifier involved in the embodiment, Table 1 is the experimental data of the water purifier with a flux of 800G under the condition of normal water purification, and the total water purification amount is 2000L, which adopts the noise reduction method of the water purifier involved in the embodiment:

[0118] Table 1

[0119]

[0120] From Table 1, it can be seen that when the pressure sensor pressure value is 95PSI, the cavity X value is 30cm 2 , and the noise sensor is 53dB, the water production system is in the best working state, and the flow output by the flowmeter meets the flow requirement of the system design (800G design standard: flow greater than 2.0LPM, 95PSI).

[0121] According to the above experimental data, it is assumed that the standard noise value of the water production system is equal to 53dB, the water production pressure is equal to 95PSI, the flow value is 2.0LPM, the rotation speed of the booster pump motor is equal to 1200r / min (the maximum rotation speed is 1600r / min), and 20< cavity X <90cm 2 ; after the system runs for a period of time, because the filter system is blocked or the filter performance is attenuated, the water production pressure will rise, and the noise value will be high (generally positive), and the flow value will be small (negative).

[0122] The scheme of the embodiment of the application can automatically adjust the volume of the noise reduction cavity according to the different noise values, so that the noise is stabilized at the minimum value, and the user's experience is improved.

[0123] Embodiment five

[0124] Figure 6is a structural schematic view of a noise reduction device of a water purifier provided according to Embodiment Five of the present application, which is arranged in a water purifier, the water purifier comprising a sound attenuation cavity, the sound attenuation cavity being variable in volume. As shown in Figure 6 The device comprises a first noise value acquisition module 610, a first noise deviation value determination module 620, a first volume change amount determination module 630, and a working parameter determination module 640.

[0125] The first noise value acquisition module 610 is configured to acquire a first noise value in response to a water purification instruction of a target water purifier.

[0126] The first noise deviation value determination module 620 is configured to determine a first noise deviation value of the first noise value and a target noise value when the first noise value is greater than the target noise value.

[0127] The first volume change amount determination module 630 is configured to determine a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value, wherein the sound attenuation cavity is filled with water during a water purification process of the target water purifier.

[0128] The working parameter determination module 640 is configured to determine a first moving length of a push rod of the target water purifier based on the first volume change amount, and determine a working parameter of a motor of the target water purifier based on the first moving length.

[0129] The scheme of the present embodiment acquires a first noise value in response to a water purification instruction of a target water purifier through the first noise value acquisition module, determines a first noise deviation value of the first noise value and a target noise value when the first noise value is greater than the target noise value through the first noise deviation value determination module, determines a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value through the first volume change amount determination module, wherein the sound attenuation cavity is filled with water during a water purification process of the target water purifier, and determines a first moving length of a push rod of the target water purifier based on the first volume change amount, and determines a working parameter of a motor of the target water purifier based on the first moving length through the working parameter determination module, thereby solving the problem of large noise during the water purification process of the water purifier, breaking through the bottleneck of the traditional passive noise reduction mode, and achieving continuous and effective reduction of noise during the water purification process, and improving the user experience.

[0130] In an optional implementation manner of the present embodiment, the noise reduction device of the water purifier further comprises a relationship determination module configured to:

[0131] acquire a noise set of the target water purifier during the water purification process through a noise sensor in the target water purifier, wherein the noise set comprises a plurality of second noise values, and each second noise value is greater than the target noise value.

[0132] determining a second volume of the sound attenuation cavity corresponding to a target second noise value, moving the push rod by the motor until the target second noise value is equal to the target noise value, determining a third volume of the sound attenuation cavity when the push rod stops moving;

[0133] determining a second volume change of the sound attenuation cavity based on the third volume and the second volume;

[0134] determining a relationship between the noise deviation value and the volume change based on each second noise deviation value and each second volume change;

[0135] In an optional implementation of the embodiment, the relationship determining module is further configured to:

[0136] determining a target function;

[0137] inputting each second noise deviation value and each second volume change into the target function for solving to obtain a relationship curve between the noise deviation value and the volume change;

[0138] alternatively,

[0139] inputting each second noise deviation value and each second volume change into a target convolutional neural network for iterative training, and obtaining a target machine learning model under a condition that iteration is stopped;

[0140] wherein, the target machine learning model takes the noise deviation value as input and outputs the volume change of the sound attenuation cavity.

[0141] In an optional implementation of the embodiment, the target water purifier is deployed with a noise sensor, and the noise sensor is in communication connection with the control module.

[0142] Correspondingly, the first noise value obtaining module 610 is specifically configured to:

[0143] obtaining a first noise value of the booster pump of the target water purifier in real time through the noise sensor, and transmitting the first noise value to the control module.

[0144] In an optional implementation of the embodiment, the first volume change determining module 630 is specifically configured to:

[0145] inputting the first noise deviation value into the relationship curve between the noise deviation value and the volume change for solving to obtain the first volume change;

[0146] alternatively,

[0147] The first noise bias value is input into the target machine learning model for iterative calculation to obtain the first volume change amount.

[0148] In an optional implementation of the present embodiment, the working parameter determination module 640 is specifically configured to:

[0149] determine size information of the sound attenuation cavity, the size information including length, width and height of the sound attenuation cavity;

[0150] determine a height change amount of the sound attenuation cavity corresponding to the first volume change amount, and determine the height change amount as the first movement length.

[0151] In an optional implementation of the present embodiment, the working parameter determination module 640 is further specifically configured to:

[0152] determine a transmission relationship between the motor and the push rod, and determine the working parameter of the motor based on the transmission relationship and the first movement length;

[0153] The working parameter of the motor includes at least one of the following:

[0154] rotational speed, rotation angle, input voltage, input current and torque.

[0155] In an optional implementation of the present embodiment, the noise reduction device of the water purifier further includes a booster pump driving module configured to:

[0156] receive a first flow value detected by the flow sensor and a first pressure value detected by the pressure sensor;

[0157] determine a first pressure bias value between the first pressure value and a target pressure value, and a first flow bias value between the first flow value and a target flow value, when the first pressure value is greater than the target pressure value and the first flow value is less than the target flow value;

[0158] drive the booster pump motor frequency conversion based on the first pressure bias value and the first flow bias value, so that the rotational speed of the booster pump motor is increased;

[0159] stop driving the booster pump motor frequency conversion when the first flow value is greater than or equal to the target flow value.

[0160] In an optional implementation of the present embodiment, the noise reduction device of the water purifier further includes a second noise reduction module configured to:

[0161] In the process of driving the variable frequency of the booster pump motor based on the first pressure deviation value and the first flow deviation value, if the first noise value is greater than the target noise value, the first noise deviation value of the first noise value and the target noise value is determined, the first volume change amount of the sound attenuation cavity of the target water purifier is determined based on the first noise deviation value, the first moving length of the push rod of the target water purifier is determined based on the first volume change amount, and the operation of the working parameter of the motor of the target water purifier is determined based on the first moving length until the first noise value is less than or equal to the target noise value.

[0162] The noise reduction device of the water purifier provided by the embodiment of the present application can execute the noise reduction method of the water purifier provided by any embodiment of the present application, and has the function modules and beneficial effects corresponding to the execution method.

[0163] In the technical scheme of the embodiment of the present application, the collection, storage, use, processing, transmission, provision and disclosure of the parameter information (such as pressure value, flow value, noise value, etc.) of the water purifier all comply with the relevant legal regulations and do not violate public order and good customs.

[0164] Embodiment six

[0165] Figure 7 A structural schematic diagram of a water purifier 10 that can be used to implement embodiments of the present application is shown. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described herein and / or claimed.

[0166] As shown in Figure 7 The water purifier 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is in communication connection with the at least one processor 11, wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the water purifier 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0167] The water purifier 10 further includes a sound attenuation cavity 20, the volume of which is changed based on the motor pushing the push rod, and the sound attenuation cavity is filled with water during the water purification process of the water purifier.

[0168] A plurality of components in the water purifier 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the water purifier 10 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0169] The processor 11 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as a noise reduction method of a water purifier, which includes: in response to a water purification instruction of a target water purifier, obtaining a first noise value; when the first noise value is greater than a target noise value, determining a first noise deviation value of the first noise value and the target noise value; determining a first volume change amount of a sound attenuation cavity of the target water purifier based on the first noise deviation value; wherein the sound attenuation cavity is filled with water during a water purification process of the target water purifier; determining a first movement length of a push rod of the target water purifier based on the first volume change amount, and determining an operating parameter of a motor of the target water purifier based on the first movement length.

[0170] In some embodiments, the noise reduction method of the water purifier can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the water purifier 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the noise reduction method of the water purifier described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the noise reduction method of the water purifier by any other appropriate means, such as by means of firmware.

[0171] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system on a chip systems (SOCs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0172] Computer programs used to implement the processes of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program

[0173] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0174] To provide for interaction with a user, the systems and techniques described here can be implemented on a water purifier having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the water purifier. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0175] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0176] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0177] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in a different order, as long as the desired results of the present disclosure are achieved, and the present disclosure is not limited herein.

[0178] The above detailed description does not limit the scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principles of the present disclosure shall fall within the scope of the present disclosure.

[0179] The embodiment of the present application further provides a computer program product comprising a computer program which, when executed by a processor, implements the database detection method provided by any of the embodiments of the present application.

[0180] In implementing the computer program product, the computer program code for performing the operations of the present application can be written in one or more programming languages or combinations of languages including object oriented programming languages such as Java, Smalltalk, C++ or conventional procedural programming languages such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0181] It should be noted that in the embodiments of the present application, some software, components, models and other prior art solutions can be mentioned, which should be considered as exemplary, and the purpose is only to illustrate the feasibility of the implementation of the technical solutions of the present application, but does not mean that the applicant has or will necessarily use the solutions.

[0182] Note that the above are only the preferred embodiments of the present application and the technical principles applied. Those skilled in the art will understand that the present application is not limited to the specific embodiments herein, and those skilled in the art can make various obvious changes, readjustments and substitutions without departing from the scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A noise reduction method for a water purifier, applied to the water purifier, wherein the water purifier includes a sound-absorbing cavity, the volume of which is variable, characterized in that, The noise reduction methods for the water purifier include: In response to the water purification command from the target water purifier, the first noise value is obtained; When the first noise value is greater than the target noise value, a first noise deviation value between the first noise value and the target noise value is determined. The first volume change of the silencing cavity of the target water purifier is determined based on the first noise deviation value; wherein the silencing cavity is filled with water during the water purification process of the target water purifier; The first moving length of the push rod of the target water purifier is determined based on the first volume change, and the operating parameters of the motor of the target water purifier are determined based on the first moving length.

2. The noise reduction method for a water purifier according to claim 1, characterized in that, Prior to responding to the water production command from the target water purifier, it also includes: The noise set of the target water purifier during the water purification process is obtained by a noise sensor in the target water purifier; wherein the noise set includes multiple second noise values, and each second noise value is greater than the target noise value; Determine the second volume of the silencing cavity corresponding to the target second noise value, and move the push rod by the motor until the target second noise value is equal to the target noise value. Determine the third volume of the silencing cavity when the push rod stops moving. The change in the second volume of the silencing cavity is determined based on the third volume and the second volume. The relationship between the noise deviation value and the volume change is determined based on each second noise deviation value and each second volume change.

3. The noise reduction method for a water purifier according to claim 2, characterized in that, The determination of the relationship between the noise deviation value and the volume change based on each second noise deviation value and each second volume change includes: Determine the objective function; Each of the second noise deviation values ​​and each of the second volume changes are input into the objective function for solving, and the relationship curve between the noise deviation value and the volume change is obtained. or, Each of the second noise deviation values ​​and each of the second volume change values ​​are input into the target convolutional neural network for iterative training. Under the condition of stopping the iteration, the target machine learning model is obtained. The target machine learning model takes noise deviation as input and outputs the volume change of the silencing cavity.

4. The noise reduction method for a water purifier according to claim 1, characterized in that, The target water purifier is equipped with a noise sensor, which is communicatively connected to the control module. Accordingly, obtaining the first noise value includes: The noise sensor acquires the first noise value of the booster pump of the target water purifier in real time and transmits the first noise value to the control module.

5. The noise reduction method for a water purifier according to claim 3, characterized in that, The step of determining the first volume change of the sound-absorbing cavity of the target water purifier based on the first noise deviation value includes: The first noise deviation value is input into the relationship curve between the noise deviation value and the volume change to obtain the first volume change. or, The first noise deviation value is input into the target machine learning model for iterative calculation to obtain the first volume change.

6. The noise reduction method for a water purifier according to claim 1, characterized in that, Determining the first moving length of the push rod of the target water purifier based on the first volume change includes: Determine the dimensions of the silencing cavity; the dimensions include the length, width, and height of the silencing cavity. Determine the height change of the silencing cavity corresponding to the first volume change, and define the height change as the first moving length.

7. The noise reduction method for a water purifier according to claim 1, characterized in that, Determining the operating parameters of the motor based on the first moving length includes: Determine the transmission relationship between the motor and the push rod, and determine the operating parameters of the motor based on the transmission relationship and the first moving length; The operating parameters of the motor include at least one of the following: Rotation speed, rotation angle, input voltage, input current, and torque.

8. The noise reduction method for a water purifier according to claim 1, characterized in that, The method further includes: Receive the first flow rate value detected by the flow sensor and the first pressure value detected by the pressure sensor; If it is determined that the first pressure value is greater than the target pressure value and the first flow value is less than the target flow value, a first pressure deviation value between the first pressure value and the target pressure value, and a first flow deviation value between the first flow value and the target flow value are determined. Based on the first pressure deviation value and the first flow deviation value, the booster pump motor is driven to increase the speed of the booster pump motor. If the first flow rate value is determined to be greater than or equal to the target flow rate value, stop driving the booster pump motor frequency converter.

9. The noise reduction method for a water purifier according to claim 8, characterized in that, The method further includes: During the process of driving the booster pump motor frequency converter based on the first pressure deviation value and the first flow deviation value, if the first noise value is detected to be greater than the target noise value, the operation of determining the first noise deviation value between the first noise value and the target noise value continues; determining the first volume change of the silencing cavity of the target water purifier based on the first noise deviation value; determining the first moving length of the push rod of the target water purifier based on the first volume change; and determining the operating parameters of the motor of the target water purifier based on the first moving length, until the first noise value is less than or equal to the target noise value.

10. A noise reduction device for a water purifier, deployed in the water purifier, the water purifier comprising a sound-absorbing cavity, the volume of the sound-absorbing cavity being variable, characterized in that, include: The first noise value acquisition module is used to acquire the first noise value in response to the water purification command of the target water purifier. The first noise deviation value determination module is used to determine a first noise deviation value between the first noise value and the target noise value when the first noise value is greater than the target noise value. The first volume change determination module is used to determine the first volume change of the silencing cavity of the target water purifier based on the first noise deviation value; wherein the silencing cavity is filled with water during the water purification process of the target water purifier; The working parameter determination module is used to determine the first moving length of the push rod of the target water purifier based on the first volume change, and to determine the working parameters of the motor of the target water purifier based on the first moving length.

11. A water purifier, characterized in that, The water purifier includes: At least one processor; The noise-absorbing cavity has a volume that is changed by a motor-driven push rod, and the noise-absorbing cavity is filled with water during the water purification process of the water purifier. And, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the noise reduction method of the water purifier according to any one of claims 1-9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the noise reduction method of the water purifier according to any one of claims 1-9.

13. A computer program product comprising a computer program that, when executed by a processor, implements the noise reduction method for a water purifier according to any one of claims 1-9.

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