Range hoods and their control methods and devices

Abstract

This invention provides a range hood and its control method and device, relating to the technical field of intelligent control. The method includes: responding to the activation of the control function by acquiring sound signals from the environment where the range hood is located; calculating the objective sound value and subjective sound quality value corresponding to the sound signal; determining whether the sound signal meets a pre-configured control threshold based on the objective sound value and subjective sound quality value; if not, extracting the main contributing factors corresponding to the objective sound value and subjective sound quality value; generating a control sound field based on the main contributing factors; and playing the control sound field for control. The range hood and its control method and device provided by this invention can actively control the sound field of the environment where the range hood is located, which can not only improve the sound field or meet the user's personalized needs for sound experience, but also help meet the user's emotional value needs for sound experience, thereby enhancing the user experience.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, and in particular to a range hood and its control method and device. Background Technology

[0002] A range hood, also known as a kitchen exhaust fan, is a kitchen product that purifies the kitchen environment by using a centrifugal fan installed inside the hood to extract cooking fumes.

[0003] Typically, a centrifugal fan consists of a volute, an impeller mounted within the volute, and a motor that drives the impeller. When the impeller rotates, a negative pressure suction is generated at the center of the fan, drawing in the cooking fumes from below. After being accelerated by the fan, the volute collects and guides the fumes outdoors. Therefore, range hoods generate considerable noise during operation, a significant noise source in homes that negatively impacts user experience. Consequently, the noise level of range hoods has become an important factor for consumers when purchasing such products.

[0004] Currently, all range hood manufacturers and R&D companies are conducting extensive research on vibration reduction and noise reduction of range hoods. As a result, the noise level of range hoods is constantly decreasing, and the user experience is gradually improving.

[0005] However, current noise reduction measures are mainly passive, such as using porous sound-absorbing materials or structures to reduce the noise during the operation of the range hood. While passive noise reduction can basically meet users' needs for low noise, it is difficult to actively control the sound field of the range hood, which can lead to a gradual decline in the user experience and make it difficult to meet users' personalized needs for sound experience. Summary of the Invention

[0006] In view of this, the purpose of the present invention is to provide a range hood and its control method and device to alleviate the above-mentioned technical problems.

[0007] In a first aspect, embodiments of the present invention provide a method for controlling a range hood. This method, applied to a range hood, includes: responding to the activation of a control function by acquiring sound signals from the environment where the range hood is located; calculating the objective sound value and the subjective sound quality value corresponding to the sound signal, wherein the objective sound value characterizes the objective features of the sound signal, and the subjective sound quality value characterizes the subjective features of the sound signal; determining whether the sound signal meets a pre-configured control threshold based on the objective sound value and the subjective sound quality value; if not, extracting the main contributing factors corresponding to the objective sound value and the subjective sound quality value; generating a control sound field based on the main contributing factors; and playing the control sound field to control the sound field corresponding to the sound signal.

[0008] In conjunction with the first aspect, the present invention provides a first possible implementation of the first aspect, wherein the above method further includes: extracting the digital sound signal corresponding to the sound signal and converting the digital sound signal into an analog sound signal; sending the value corresponding to the analog sound signal to a display terminal for display on the display terminal.

[0009] In conjunction with the first aspect, this embodiment of the invention provides a second possible implementation of the first aspect, wherein the step of calculating the objective sound value corresponding to the sound signal includes: extracting the digital sound signal corresponding to the sound signal; calculating the time-domain sound pressure value corresponding to the digital sound signal according to a pre-configured time-domain sound pressure algorithm; performing frequency domain conversion on the time-domain sound pressure value to obtain the corresponding frequency-domain sound pressure value; and determining the frequency-domain sound pressure value as the objective sound value corresponding to the sound signal.

[0010] In conjunction with the first aspect, this invention provides a third possible implementation of the first aspect, wherein the step of calculating the subjective sound quality value corresponding to the sound signal includes: extracting the digital sound signal corresponding to the sound signal; extracting the objective sound quality value corresponding to the sound signal based on the digital sound signal, wherein the objective sound quality value includes at least the loudness, roughness, and sharpness of the sound signal; inputting the objective sound quality value into a pre-trained first neural network model, and obtaining the subjective sound quality value corresponding to the objective sound quality value through fitting the first neural network model; wherein the training samples for training the first neural network model are objective sound quality value samples labeled with subjective sound quality value tags.

[0011] In conjunction with the first aspect, this embodiment of the invention provides a fourth possible implementation of the first aspect, wherein the step of determining whether a sound signal meets a pre-configured control threshold based on objective sound values ​​and subjective sound quality values ​​includes: determining whether the objective sound values ​​meet a pre-configured objective threshold, and whether the subjective sound quality values ​​meet a pre-configured subjective threshold; if both are met, then the sound signal is determined to meet the pre-configured control threshold; if any one is not met, then the sound signal is determined not to meet the pre-configured control threshold.

[0012] In conjunction with the first aspect, this invention provides a fifth possible implementation of the first aspect, wherein the step of extracting the main contributing factors corresponding to the objective sound value and the subjective sound quality value includes: inputting the objective sound value and the subjective sound quality value into a pre-trained second neural network model, and extracting the main contributing factors from the objective sound value and the subjective sound quality value through the second neural network model; wherein the training samples for training the second neural network model are samples labeled with the main contributing factors, and the samples are constructed based on the objective sound value and the subjective sound quality value.

[0013] In conjunction with the first aspect, this invention provides a sixth possible implementation of the first aspect, wherein the step of generating a controlled sound field based on the main contributing factors includes: inputting the main contributing factors into a pre-trained third neural network model, generating parameters of the controlled sound field through the third neural network model; wherein the controlled sound field is a sound field signal with the opposite phase to the sound signal; the third neural network model is a pre-trained neural network model with filtering and inverse calculation functions; and generating the controlled sound field based on the parameters of the controlled sound field.

[0014] In conjunction with the fourth possible implementation of the first aspect, this embodiment of the invention provides a seventh possible implementation of the first aspect, wherein the above method further includes: responding to a configuration operation, wherein the configuration operation is an operation of configuring an objective threshold and / or a subjective threshold; extracting configuration parameters corresponding to the configuration operation; and responding to the completion of the configuration operation by updating the objective threshold and / or the subjective threshold based on the configuration parameters.

[0015] Secondly, embodiments of the present invention also provide a control device for a range hood. This device, applied to a range hood, includes: a data acquisition module for acquiring sound signals from the environment surrounding the range hood in response to the activation of the control function; a calculation module for calculating the objective sound value and subjective sound quality value corresponding to the sound signal, wherein the objective sound value characterizes the objective features of the sound signal, and the subjective sound quality value characterizes the subjective features of the sound signal; a judgment module for judging whether the sound signal meets a pre-configured control threshold based on the objective sound value and the subjective sound quality value; an extraction module for extracting the main contributing factors corresponding to the objective sound value and the subjective sound quality value when the judgment result of the judgment module is negative; a control module for generating a control sound field based on the main contributing factors; and playing the control sound field to control the sound field corresponding to the sound signal.

[0016] Thirdly, embodiments of the present invention also provide a range hood, wherein the controller of the range hood is configured with the control device of the range hood in the second aspect; the range hood is configured with a microphone and a speaker connected to the controller; the microphone is used to collect sound signals of the environment in which the range hood is located; and the speaker is used to play and control the sound field.

[0017] The embodiments of the present invention bring the following beneficial effects:

[0018] The range hood and its control method and device provided in this invention can collect sound signals from the environment where the range hood is located in response to the activation of the control function; calculate the objective sound value and subjective sound quality value corresponding to the sound signal, and determine whether the sound signal meets the pre-configured control threshold based on the objective sound value and subjective sound quality value; if not, extract the main contributing factors corresponding to the objective sound value and subjective sound quality value, and then generate a control sound field based on the main contributing factors; play the control sound field to control the sound field corresponding to the sound signal, thereby realizing active control of the sound field of the environment where the range hood is located. This not only improves the sound field or meets the user's personalized needs for sound experience, but also helps to meet the user's emotional value needs for sound experience, thereby improving the user's experience.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0020] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 A schematic diagram of a range hood provided in an embodiment of the present invention;

[0023] Figure 2 A flowchart illustrating a method for controlling a range hood according to an embodiment of the present invention;

[0024] Figure 3 A flowchart illustrating another method for controlling a range hood provided in an embodiment of the present invention;

[0025] Figure 4 A schematic diagram of a control device for a range hood provided in an embodiment of the present invention;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0027] Reference numerals: 10-Smoke collection chamber; 20-Chassis; 30-Microphone; 40-Speaker. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Currently, most noise reduction measures for range hoods are passive, such as using porous sound-absorbing materials or structures to reduce noise during operation. However, this method cannot meet the user's need to actively control the sound field of the range hood, thus reducing the user experience.

[0030] Based on this, the range hood and its control method and device provided in the embodiments of the present invention can effectively alleviate the above problems.

[0031] To facilitate understanding of this embodiment, a method for controlling a range hood disclosed in this embodiment of the invention will first be described in detail.

[0032] In one possible implementation, this invention provides a method for controlling a range hood. Specifically, the range hood in this embodiment is equipped with a microphone and a speaker connected to a controller. The microphone is used to collect sound signals from the environment where the range hood is located. For example, after the range hood is started, it can monitor the noise in the kitchen environment in real time and transmit the noise to the controller of the range hood. The speaker is used to play a sound field for control. When the noise of the range hood needs to be controlled, it can emit sound under the control of the controller to actively control the sound field of the kitchen environment.

[0033] For ease of understanding, Figure 1 A schematic diagram of a range hood is shown, in which, Figure 1 The perspective shown is from below, which shows the smoke collection chamber 10, the housing 20, and the microphone 30 and speaker 40 located in a preset position in the smoke collection chamber.

[0034] In a specific implementation, the microphone 30 and the speaker 40 can communicate with the range hood controller via wired or wireless communication. The controller can be a controller installed on the range hood body or a controller installed on the back-end server side that communicates wirelessly with the range hood body. The specific configuration can be made according to the actual usage situation, and this embodiment of the invention does not impose any restrictions on this.

[0035] based on Figure 1 The range hood shown is Figure 2 A flowchart illustrating a method for controlling a range hood is shown, specifically as follows: Figure 2As shown, it includes the following steps:

[0036] Step S202: The response control function is activated, and the sound signal of the environment where the range hood is located is collected;

[0037] In actual use, the range hood's control function can be automatically activated after the range hood is started, or it can be activated when triggered by the user. For example, the user can choose not to actively control the sound field of the range hood, or they can actively activate the control function as needed during the operation of the range hood. At this time, the range hood's controller can respond to the control function and then execute the process of step S202 mentioned above.

[0038] Furthermore, when collecting sound signals from the environment where the range hood is located, the controller can drive... Figure 1 The microphone 30 shown monitors the sound field signal of the kitchen in real time, collects a sound signal of a certain length, and transmits it to the control controller, which then performs the following process.

[0039] Step S204: Calculate the objective sound value and subjective sound quality value corresponding to the sound signal;

[0040] In this embodiment of the invention, the objective sound value is used to characterize the objective features of the sound signal, while the subjective sound quality value is used to characterize the subjective features of the sound signal.

[0041] Step S206: Determine whether the sound signal meets the pre-configured control threshold based on the objective sound value and the subjective sound quality value;

[0042] Step S208: If not, extract the main contributing factors corresponding to the objective value of sound and the subjective value of sound quality;

[0043] Step S210: Generate a controlled sound field based on the main contributing factors;

[0044] Step S212: Play and adjust the sound field to adjust the sound field corresponding to the sound signal.

[0045] In actual use, the pre-configured control threshold in step S206 is actually a relatively comfortable threshold range determined by the user's perception of sound. For example, when the objective value of the sound signal and the subjective value of the sound quality are both within the threshold range, it means that the sound signal is acceptable to the user. That is, the judgment result of step S206 is that the sound signal meets the pre-configured control threshold, and there is no need to control the sound field corresponding to the sound signal.

[0046] If either the objective value of the sound signal or the subjective value of the sound quality exceeds the threshold range, that is, if the judgment result of step S206 is negative, it means that the sound signal at this time may cause discomfort to the user, that is, it is necessary to further adjust the sound field corresponding to the sound signal, that is, to execute the process of steps S208 to S212 above.

[0047] The range hood control method provided in this invention can collect sound signals from the environment where the range hood is located in response to the activation of the control function; calculate the objective sound value and subjective sound quality value corresponding to the sound signal, and determine whether the sound signal meets the pre-configured control threshold based on the objective sound value and subjective sound quality value; if not, extract the main contributing factors corresponding to the objective sound value and subjective sound quality value, and then generate a control sound field based on the main contributing factors; play the control sound field to control the sound field corresponding to the sound signal, thereby realizing active control of the sound field of the environment where the range hood is located. This not only improves the sound field or meets the user's personalized needs for sound experience, but also helps to meet the user's emotional value needs for sound experience, thereby improving the user experience.

[0048] In practical use, the collected sound signals can also be quantitatively displayed. For example, the collected sound signals can be converted into data and displayed to the user, which can give the user a more intuitive sound experience. Therefore, in this embodiment of the invention, after collecting the sound signals, the corresponding digital sound signals can be extracted and converted into analog sound signals. Then, the values ​​corresponding to the analog sound signals are sent to the display terminal for display.

[0049] Specifically, this process can also be called the sound display calculation process. Correspondingly, the process of calculating the objective value of sound and the subjective value of sound quality in step S204 above can be called the sound objective value calculation process and the sound quality subjective value calculation process.

[0050] Correspondingly, the three calculation processes described above can be executed simultaneously after the sound signal is acquired in step S202. Therefore, in practical use, the algorithms used in these three calculation processes can be integrated into a sound field calculation model so that the sound field calculation model can be triggered to execute the three calculation processes simultaneously after the sound signal is acquired.

[0051] For ease of understanding, Figure 2 On this basis, Figure 3 A flowchart of another range hood control method is also shown, further explaining the above three calculation processes and the subsequent sound field control process, such as... Figure 3 As shown, it includes the following steps:

[0052] When the range hood is turned on, the control function can be activated automatically or triggered by the user. In this case, the range hood can respond by executing the following steps.

[0053] Step S302: The response control function is activated, and the sound signal of the environment where the range hood is located is collected;

[0054] Step S304: Call the sound field calculation model to calculate the sound analog signal, sound objective value, and sound quality subjective value;

[0055] Specifically, the calculation process of the sound field calculation model includes: sound display calculation, objective sound value calculation, and subjective sound quality value calculation. For example... Figure 3 As shown, it specifically includes the following:

[0056] (1) Sound display calculation:

[0057] The controller transmits the sound signal to the sound field calculation model. The sound field calculation model extracts the digital sound signal and converts it into an analog sound signal using a digital-to-analog conversion algorithm. The controller then transmits the corresponding value of the analog sound signal to a display terminal, such as the screen display terminal of a range hood or the graphical user interface of a user terminal, so that the display terminal displays the value corresponding to the analog sound signal, such as the sound pressure level. During the cooking process, the user can then view the kitchen sound field in real time through the display terminal and customize the sound field accordingly to obtain a more comfortable and acceptable sound field.

[0058] (2) Calculation of objective sound values:

[0059] Specifically, in this embodiment of the invention, when calculating the objective sound value corresponding to a sound signal, the sound field calculation model can extract the digital sound signal corresponding to the sound signal; then, according to a pre-configured time-domain sound pressure algorithm, calculate the time-domain sound pressure value corresponding to the digital sound signal; perform frequency-domain conversion on the time-domain sound pressure value to obtain the corresponding frequency-domain sound pressure value; and then determine the frequency-domain sound pressure value as the objective sound value corresponding to the sound signal. This is because frequency-domain sound pressure values, such as the frequency of sound in decibels, are more easily associated with human senses. Therefore, in this embodiment of the invention, the frequency-domain sound pressure value is used as the objective sound value corresponding to the sound signal.

[0060] (3) Calculation of subjective sound quality values:

[0061] Specifically, in this embodiment of the invention, calculating the subjective sound quality value corresponding to the sound signal includes: extracting the digital sound signal corresponding to the sound signal; the sound field calculation model extracts the objective sound quality value corresponding to the sound signal based on the digital sound signal, wherein the objective sound quality value in this embodiment of the invention includes at least the loudness, roughness, and sharpness of the sound signal; then the objective sound quality value is input into a pre-trained first neural network model, and the subjective sound quality value corresponding to the objective sound quality value is obtained by fitting the first neural network model.

[0062] The training samples for training the first neural network model are objective sound quality samples labeled with subjective sound quality values. For example, in practical use, the above-mentioned training samples can be prepared in advance. The training samples can be the loudness, roughness, and sharpness of sound signals generated under any working condition, as well as the corresponding subjective labels. The subjective labels are usually numerical representations of subjective values, that is, the subjective perception values ​​of a person under different loudness, roughness, and sharpness. For example, a higher value can indicate that a person is more annoyed, and a lower value can indicate that a person is less annoyed, etc. Training samples are constructed in this way to train the initialized neural network model. After the training is completed, the first neural network model in this embodiment of the invention can be obtained. When the objective sound quality values, including parameters such as loudness, roughness, and sharpness, are input, they can be fitted by the first neural network model to obtain the subjective sound quality values ​​in this embodiment of the invention.

[0063] The specific training samples, as well as the structure and training process of the initialized neural network model, can be set according to the actual use case, and the embodiments of the present invention do not impose any restrictions on this.

[0064] Furthermore, corresponding to the above sound field calculation model, in this embodiment of the invention, a sound field determination model can also be constructed to determine whether the sound signal meets the pre-configured control threshold. Therefore, after the above sound field calculation model obtains the objective sound value and subjective sound quality value containing the frequency domain sound pressure value, it is further transmitted to the sound field determination model for further determination.

[0065] Specifically, it includes the following steps:

[0066] Step S306: Call the sound field determination model to determine whether the sound signal meets the pre-configured control threshold; if yes, return to step S302, and the sound signal of the next cycle can be collected again; if no, proceed to step S308.

[0067] In this process, the sound field determination model needs to determine whether the objective value of the sound meets the pre-configured objective threshold, and whether the subjective value of the sound quality meets the pre-configured subjective threshold. If both are met, the sound signal is determined to meet the pre-configured control threshold. If any one is not met, the sound signal is determined not to meet the pre-configured control threshold.

[0068] For example, if the frequency domain sound pressure value exceeds the pre-configured objective threshold, or the sound quality subjective value exceeds the pre-configured subjective threshold, it indicates that the sound field may cause annoyance or discomfort to the user, that is, the noise is too loud and affects the user's senses. Therefore, further adjustment is needed.

[0069] In practical use, the judgment process of the above sound field judgment model can be divided into adaptive judgment and user-defined judgment. Adaptive judgment is based on the thresholds (objective threshold and subjective threshold) set in the sound field judgment model without user intervention. User-defined judgment is based on the thresholds defined by the user. That is, the above objective threshold and subjective threshold can be set by the designer based on experience or experimental values ​​during the design stage, and can also be set by the user according to their sensitivity to sound or noise during use. In other words, the user can customize the objective threshold and subjective threshold so that the sound field control process of the range hood can better meet their personalized needs.

[0070] Therefore, the range hood control method provided in this embodiment of the invention can also respond to configuration operations, which are operations to configure the aforementioned objective thresholds and / or subjective thresholds; then, it extracts the configuration parameters corresponding to the configuration operation; and upon completion of the configuration operation, it updates the objective thresholds and / or subjective thresholds based on the configuration parameters. That is, users can configure the objective thresholds or subjective thresholds separately, or configure both objective and subjective thresholds simultaneously, depending on actual use, and this embodiment of the invention does not impose any limitations on this.

[0071] Step S308: Input the objective sound value and the subjective sound quality value into the pre-trained second neural network model, and extract the main contributing factors from the objective sound value and the subjective sound quality value through the second neural network model;

[0072] In this embodiment of the invention, the training samples for training the second neural network model are samples labeled with the main contributing factors, which are constructed based on objective sound values ​​and subjective sound quality values.

[0073] In practical use, sound signals generated under any working condition can also be collected to construct training samples. For example, each training sample includes elements such as frequency domain sound pressure value, loudness, roughness, and sharpness. In this training sample, the value of which element has a greater impact on human perception is marked with a corresponding label, indicating that the element is the main contributing factor. Training samples are constructed in this way to train the initialized neural network model. After the training is completed, the second neural network model in this embodiment of the invention can be obtained. When the various parameters including the objective value of sound and the subjective value of sound quality are input, the above-mentioned main contributing factors and the specific data corresponding to the main contributing factors can be obtained through the second neural network model.

[0074] For example, the main contributing factor is loudness, and the corresponding frequency band or frequency is 100Hz, etc. Furthermore, after obtaining the main contributing factor, a control sound field can be generated based on the main contributing factor, such as a sound field signal with the same loudness and frequency but opposite phase, so as to control the current sound field.

[0075] Specifically, it includes the following steps:

[0076] Step S310: Input the main contributing factors into the pre-trained third neural network model, and generate parameters for regulating the sound field through the third neural network model;

[0077] Step S312: Generate a controlled sound field based on the parameters of the controlled sound field;

[0078] Step S314: Play and adjust the sound field to adjust the sound field corresponding to the sound signal.

[0079] Among them, the control sound field is a sound field signal with the opposite phase to the sound signal; the third neural network model is a pre-trained neural network model with filtering and reverse calculation functions.

[0080] After step S314 is completed, the entire control process ends.

[0081] In practical use, the process of generating the controlled sound field in steps S310 to S312 can be configured as a sound field generation model, which can include the algorithm corresponding to the third neural network model mentioned above. Simultaneously, this sound field generation model can also adaptively generate parameters for the controlled sound field based on the main contributing factors, or it can generate a controlled sound field based on the main contributing factors and referencing user-defined sound pressure levels or subjective sound quality values, etc., to obtain a controlled sound field that is relatively satisfactory to the user or provides a higher level of experience. The specific user-defined parameters for the controlled sound field can be set according to actual usage, and this embodiment of the invention does not impose any limitations on this.

[0082] Furthermore, for the aforementioned third neural network model, training samples for the response can be pre-constructed. For example, for the main contributing factors under any working condition, corresponding parameters for the matching control sound field are labeled to generate in-phase, same-frequency sound signals to cancel or eliminate the actual sound signal. Therefore, the aforementioned third neural network model can also be called a filtering inverse calculation network model. The control sound field generated by this network model can filter and inversely eliminate the main contributing factors in the sound signal. The specific third neural network model can be configured according to actual usage, and this embodiment of the invention does not impose any limitations on it.

[0083] In practical use, the above-mentioned sound field calculation model, sound field judgment model, and sound field generation model can be referred to as the sound field AI model. That is, the range hood control method provided in this embodiment of the invention can monitor kitchen environmental noise in real time and transmit the sound signal corresponding to the noise to the controller, so that the sound field AI model in the controller can judge the noise level and sound quality. For sound fields exceeding the threshold, the sound field AI model can output the control sound field and make the controller control the speaker to emit the sound signal corresponding to the control sound field, thereby realizing the active control of the noise sound field of the kitchen environment.

[0084] Furthermore, based on the above embodiments, this invention also provides a control device for a range hood, which is applied to a range hood, such as... Figure 4 The diagram shows a control device for a range hood, which includes:

[0085] Acquisition module 41 is used to acquire sound signals from the environment where the range hood is located in response to the activation of the control function;

[0086] The calculation module 42 is used to calculate the objective sound value and subjective sound quality value corresponding to the sound signal, wherein the objective sound value is used to characterize the objective features of the sound signal, and the subjective sound quality value is used to characterize the subjective features of the sound signal.

[0087] The judgment module 43 is used to judge whether the sound signal meets the pre-configured control threshold based on the objective value of the sound and the subjective value of the sound quality;

[0088] Extraction module 44 is used to extract the main contributing factors corresponding to the objective value of sound and the subjective value of sound quality when the judgment result of the judgment module is negative;

[0089] The control module 45 is used to generate a control sound field based on the main contributing factors; and to play the control sound field to control the sound field corresponding to the sound signal.

[0090] Furthermore, this embodiment of the invention also provides a range hood, the controller of which is equipped with the aforementioned range hood control device; wherein, the range hood is equipped with a microphone and a speaker connected to the controller; the microphone is used to collect sound signals of the environment in which the range hood is located; the speaker is used to play and control the sound field.

[0091] The range hood control device and range hood provided in this embodiment of the invention have the same technical features as the range hood control method provided in the above embodiments, so they can also solve the same technical problems and achieve the same technical effects.

[0092] Furthermore, embodiments of the present invention also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0093] This invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described method.

[0094] Furthermore, embodiments of the present invention also provide a schematic diagram of the structure of an electronic device, such as... Figure 5 The diagram shows the structure of the electronic device, which includes a processor 51 and a memory 50. The memory 50 stores computer-executable instructions that can be executed by the processor 51, and the processor 51 executes the computer-executable instructions to implement the above-described method.

[0095] exist Figure 5 In the illustrated embodiment, the electronic device further includes a bus 52 and a communication interface 53, wherein the processor 51, the communication interface 53, and the memory 50 are connected via the bus 52.

[0096] The memory 50 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 53 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 52 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 52 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0097] Processor 51 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 51 or by instructions in software form. Processor 51 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 gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this invention can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in the memory, and the processor 51 reads the information in the memory and uses its hardware to complete the aforementioned method.

[0098] The computer program product of the range hood and its control method and 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 methods in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0099] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the range hood and device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0100] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0101] If the aforementioned functions are implemented as 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 this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0102] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0103] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for controlling a range hood, characterized in that, The method is applied to a range hood, and the method includes: The response control function is activated, and the sound signal of the environment in which the range hood is located is collected; Calculate the objective sound value and subjective sound quality value corresponding to the sound signal, wherein the objective sound value is used to characterize the objective features of the sound signal, and the subjective sound quality value is used to characterize the subjective features of the sound signal; the objective sound value is characterized by a frequency domain sound pressure level; the subjective sound quality value is used to reflect the subjective perception value of a person under different objective sound quality values, and the objective sound quality value includes at least the loudness, roughness, and sharpness of the sound signal; Based on the objective sound value and the subjective sound quality value, determine whether the sound signal meets the pre-configured control threshold; If not, extract the main contributing factors corresponding to the objective sound value and the subjective sound quality value; the main contributing factors are used to reflect the elements in the objective sound value and the subjective sound quality value that have a greater impact on human perception; A controlled sound field is generated based on the aforementioned main contributing factors; Play the controlled sound field to control the sound field corresponding to the sound signal.

2. The method according to claim 1, characterized in that, The method further includes: Extract the digital audio signal corresponding to the audio signal, and convert the digital audio signal into an analog audio signal; The numerical value corresponding to the analog sound signal is sent to the display terminal for display.

3. The method according to claim 1, characterized in that, The steps for calculating the objective sound value corresponding to the sound signal include: Extract the digital audio signal corresponding to the audio signal; The time-domain sound pressure value corresponding to the digital sound signal is calculated according to the pre-configured time-domain sound pressure algorithm. The time-domain sound pressure value is transformed into the frequency domain to obtain the corresponding frequency-domain sound pressure value; The frequency domain sound pressure value is determined as the objective sound value corresponding to the sound signal.

4. The method according to claim 1, characterized in that, The steps for calculating the subjective sound quality value corresponding to the sound signal include: Extract the digital audio signal corresponding to the audio signal; Based on the digital sound signal, the objective sound quality value corresponding to the sound signal is extracted, wherein the objective sound quality value includes at least the loudness, roughness, and sharpness of the sound signal; The objective sound quality value is input into a pre-trained first neural network model, and the subjective sound quality value corresponding to the objective sound quality value is obtained by fitting the first neural network model; wherein, the training samples for training the first neural network model are objective sound quality value samples labeled with subjective sound quality values.

5. The method according to claim 1, characterized in that, The step of determining whether the sound signal meets the pre-configured control threshold based on the objective sound value and the subjective sound quality value includes: Determine whether the objective value of the sound meets a pre-configured objective threshold, and whether the subjective value of the sound quality meets a pre-configured subjective threshold; If all conditions are met, then the sound signal is determined to meet the pre-configured control threshold. If any one of the conditions is not met, then the sound signal is determined to not meet the pre-configured control threshold.

6. The method according to claim 1, characterized in that, The steps for extracting the main contributing factors corresponding to the objective sound value and the subjective sound quality value include: The objective sound value and the subjective sound quality value are input into a pre-trained second neural network model, and the second neural network model extracts the main contributing factors from the objective sound value and the subjective sound quality value. The training samples for training the second neural network model are samples labeled with the main contributing factors, and these samples are constructed based on the objective values ​​of sound and the subjective values ​​of sound quality.

7. The method according to claim 1, characterized in that, The steps for generating a modulated sound field based on the main contributing factors include: The main contributing factors are input into a pre-trained third neural network model, and the parameters for controlling the sound field are generated by the third neural network model. Wherein, the controlled sound field is a sound field signal with the opposite phase to the sound signal; the third neural network model is a pre-trained neural network model with filtering and reverse calculation functions; The controlled sound field is generated based on the parameters of the controlled sound field.

8. The method according to claim 5, characterized in that, The method further includes: The response configuration operation is an operation to configure the objective threshold and / or the subjective threshold; Extract the configuration parameters corresponding to the configuration operation; Upon completion of the configuration operation, the objective threshold and / or the subjective threshold are updated based on the configuration parameters.

9. A control device for a range hood, characterized in that, The device is used in a range hood, and the device includes: The acquisition module (41) is used to acquire the sound signal of the environment where the range hood is located in response to the start of the control function; The calculation module (42) is used to calculate the objective sound value and subjective sound quality value corresponding to the sound signal. The objective sound value is used to characterize the objective features of the sound signal, and the subjective sound quality value is used to characterize the subjective features of the sound signal. The objective sound value is characterized by the frequency domain sound pressure value. The subjective sound quality value is used to reflect the subjective perception value of a person under different objective sound quality values. The objective sound quality value includes at least the loudness, roughness, and sharpness of the sound signal. The judgment module (43) is used to judge whether the sound signal meets the pre-configured control threshold based on the objective sound value and the subjective sound quality value; The extraction module (44) is used to extract the main contributing factors corresponding to the objective value of the sound and the subjective value of the sound quality when the judgment result of the judgment module is negative; the main contributing factors are used to reflect the elements in the objective value of the sound and the subjective value of the sound quality that have a greater impact on human perception. The control module (45) is used to generate a control sound field based on the main contributing factors; and play the control sound field to control the sound field corresponding to the sound signal.

10. A range hood, characterized in that, The controller of the range hood is equipped with the control device of the range hood as described in claim 9; The range hood is equipped with a microphone and a speaker connected to the controller; The microphone is used to collect sound signals from the environment in which the range hood is located; The loudspeaker is used to play and control the sound field.

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