Noise reduction system, method, device and equipment for kitchen and medium

Abstract

The invention discloses a noise reduction system, method, device and equipment for a kitchen and a medium. The noise reduction system comprises an image module, a control module, a noise processing module and a projection module, the image module, the noise processing module and the projection module are respectively connected with the control module; the image module and the noise processing module are respectively connected with the projection module; the image module is used for acquiring a human body detection result and a target head position in a kitchen; the control module is used for acquiring kitchen appliance noise corresponding to kitchen appliances in the kitchen under the condition that the human body detection result indicates that the human body exists in the kitchen; when the noise of the kitchen appliance is greater than the first preset noise, the noise processing module and the projection module are started; the noise processing module generates target noise reduction sound waves based on kitchen appliance noise; the projection module is used for projecting the target noise reduction sound wave to the target head position, and the noise reduction system for the kitchen improves the noise reduction accuracy, adaptability and noise reduction efficiency, and further improves the user experience.

Description

Technical Field

[0001] This invention relates to the field of noise control technology, and more specifically, to a noise reduction system, method, apparatus, equipment, and medium for kitchens. Background Technology

[0002] In the kitchen environment, noise pollution is one of the main factors affecting user experience. Current measures to control kitchen noise primarily focus on three levels: source control, propagation path control, and receiver point control. Regarding source control, the most common approach is to optimize the structure of the fan or motor of the noisiest equipment in the kitchen—such as the range hood—to reduce its operating noise. While this method is widely adopted and relatively effective, its noise reduction has a physical limit, making further sensory improvement difficult. Regarding propagation path control, common methods include installing sound-absorbing materials (such as sound-absorbing cotton) inside or around the equipment, or using active noise control (ANC) technology. Sound-absorbing materials have some suppression effect on high-frequency noise, but their effect on low-frequency noise is limited; while active noise cancellation technology, although theoretically advantageous, is susceptible to contamination or aging of components such as speakers in the highly greasy and variable acoustic environment of a kitchen, leading to performance degradation and difficulty adapting to dynamic changes in the noise spectrum. Regarding receiver point control, existing technologies largely rely on users wearing earplugs, noise-canceling headphones, or protective helmets. While such solutions can isolate noise to some extent, they also bring problems such as inconvenience in use, obstruction of normal voice communication, and impact on auditory environmental perception, resulting in a poor user experience.

[0003] In summary, existing kitchen noise control technologies generally suffer from limited noise reduction effects, poor adaptability, and unsatisfactory user experience. There is an urgent need for a new noise reduction system for kitchens to solve the noise reduction problems existing in current technologies. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a noise reduction system, method, device, equipment and medium for kitchens to solve the problems of limited noise reduction effect, poor adaptability and poor user experience in the prior art.

[0005] One aspect of the present invention provides a noise reduction system for a kitchen, the system comprising an image module, a control module, a noise processing module, and a projection module; the image module, the noise processing module, and the projection module are respectively connected to the control module; the image module and the noise processing module are respectively connected to the projection module. The image module is used to acquire human detection results and target head positions in the kitchen; The control module is used to acquire the noise of kitchen appliances corresponding to kitchen appliances in the kitchen when the human detection result obtained by the image module indicates that there is a human body in the kitchen; and to activate the noise processing module and the projection module when the noise of the kitchen appliances is greater than a first preset noise. The noise processing module generates a target noise reduction wave based on the noise from the kitchen appliances obtained by the control module; The projection module is used to project the target noise reduction wave generated by the noise processing module onto the target head position obtained by the image module.

[0006] Another aspect of the present invention provides a noise reduction method for a kitchen, applied to the aforementioned noise reduction system for a kitchen, the method comprising: In response to noise reduction commands, acquire human body detection results and target head position; When the human detection result indicates that a human is present in the kitchen, acquire kitchen appliance noise, preset sound wave file and preset noise; Based on the noise from the kitchen appliances, the preset sound wave file, and the preset noise, a target noise reduction wave is generated, and the target noise reduction wave is projected onto the target head position.

[0007] Another aspect of the present invention provides an electronic device, comprising: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the noise reduction method for kitchens described above.

[0008] Another aspect of the present invention provides a computer-readable storage medium that, when instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the aforementioned noise reduction method for a kitchen.

[0009] This invention provides a noise reduction system, method, apparatus, device, and medium for kitchens, including an image module, a control module, a noise processing module, and a projection module. The image module, noise processing module, and projection module are each connected to the control module and the projection module. The image module acquires human detection results and target head positions within the kitchen, improving the purposefulness and accuracy of noise reduction. The control module acquires the noise of kitchen appliances corresponding to the kitchen appliances when the human detection results acquired by the image module indicate the presence of a human in the kitchen. If the kitchen appliance noise exceeds a first preset noise level, the noise processing module and projection module are activated, improving noise reduction efficiency. The noise processing module generates a target noise reduction wave based on the kitchen appliance noise acquired by the control module, improving the adaptability of the generated noise reduction wave. The projection module projects the target noise reduction wave generated by the noise processing module onto the target head position acquired by the image module, improving the accuracy of noise reduction. This noise reduction system achieves targeted noise reduction, improves noise reduction accuracy, adaptability, and efficiency, and ultimately enhances the user experience. Attached Figure Description

[0010] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of a noise reduction system for a kitchen according to an exemplary embodiment; Figure 2 This is a schematic flowchart of a noise reduction method for a kitchen according to an exemplary embodiment; Figure 3 This is a structural schematic diagram of a noise reduction device for a kitchen, provided according to an exemplary embodiment. Detailed Implementation

[0012] The technical solutions of the embodiments 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, and 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.

[0013] In the embodiments provided in this application, the described system embodiments are merely illustrative. For example, the above-described module division is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between modules or units, and may be electrical or other forms.

[0014] In one specific embodiment, the noise reduction system for kitchens described in this application can be applied to kitchens.

[0015] Figure 1 This is a schematic diagram of a noise reduction system for a kitchen according to an exemplary embodiment. This specification provides method operation steps as shown in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operation steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only possible execution order. In actual system or server product execution, the methods shown in the embodiments or drawings can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment). Specifically, as shown... Figure 1 As shown, this application introduces an embodiment of a noise reduction system for a kitchen. The noise reduction system for the kitchen may include an image module, a control module, a noise processing module, and a projection module; the image module, the noise processing module, and the projection module are respectively connected to the control module; the image module and the noise processing module are respectively connected to the projection module. The image module is used to acquire human detection results and target head positions in the kitchen; The control module is used to acquire the noise of kitchen appliances corresponding to kitchen appliances in the kitchen when the human detection result obtained by the image module indicates that there is a human body in the kitchen; and to activate the noise processing module and the projection module when the noise of the kitchen appliances is greater than a first preset noise. The noise processing module generates a target noise reduction wave based on the noise from the kitchen appliances obtained by the control module; The projection module is used to project the target noise reduction wave generated by the noise processing module onto the target head position obtained by the image module.

[0016] In one specific embodiment, the human body detection result is used to indicate whether there is a human body in the kitchen, the target head position can be the head position of the human body in the kitchen; the kitchen appliance noise can be the noise generated by the appliances when the human body uses the appliances in the kitchen; the first preset noise can be the noise threshold that needs to be noise-treated; the target noise sound wave can be the sound wave that masks the noise. Specifically, the noise reduction system for the kitchen may include an image module, a control module, a noise processing module, and a projection module. The image module, noise processing module, and projection module are each connected to the control module, allowing the control module to obtain the noise of kitchen appliances based on the human detection results received from the image module. This noise is then compared to a first preset noise level. If the kitchen appliance noise is greater than the first preset noise level, the control module activates the noise processing module and the projection module. Optionally, the image module and noise processing module are also connected to the projection module, allowing the projection module to project the target noise-reduced wave generated by the noise processing module onto the target head position obtained by the image module. Specifically, the projection module is equipped with a directional speaker with a pan-tilt unit, enabling the directional speaker to project the target noise-reduced wave onto the target head position. Optionally, after activation, the noise processing module generates a corresponding target noise-reduced wave based on the kitchen appliance noise obtained by the control module.

[0017] In an optional embodiment, the image module is further configured to acquire a kitchen image and determine the human body detection result and the target head position based on the kitchen image.

[0018] In one specific embodiment, the image module includes an image sensor, preferably a CMOS or CCD sensor, whose resolution, frame rate, and dynamic range are specially selected to adapt to changes in kitchen lighting. For example, high dynamic range (HDR) technology is used to simultaneously capture details in the bright areas of the stove flames and the dark areas of the cabinet shadows; an optical lens is also provided, with an appropriate focal length and angle of view (such as a wide-angle lens) selected according to the size of the kitchen space to ensure coverage of the main operating areas (such as the stove, sink, and worktop).

[0019] Specifically, the image module continuously acquires images at a fixed frame rate (e.g., 15fps) to meet the real-time response requirements of the noise reduction system. Optionally, the image module employs a corresponding deep learning processing algorithm to process the acquired images. Specifically, a deep learning-based object detection model can be used for object detection, and either a single-stage detector (e.g., YOLO, SSD) or a two-stage detector (e.g., Faster) can be used. A variant of R-CNN, optionally, the model is first trained using a large-scale, carefully labeled human body dataset in a kitchen scene. This dataset should include various occlusion scenarios (half the body obscured by a cabinet), various poses (bending over to pick something up, standing on tiptoe to retrieve an object), various lighting conditions, and users wearing different clothing to ensure the model's generalization ability. The detection model is then optimized. Optionally, considering the limited computing resources of embedded kitchen devices, optimization operations such as pruning, quantization, and knowledge distillation are needed to enable real-time operation at the edge. The model takes the acquired kitchen image as input and outputs human body detection results, specifically human bounding boxes, which are rectangular boxes that define the position and size of each human instance in the image. Further, based on the detected human bounding boxes, human pose estimation algorithms (such as OpenPose, HRNet, and MoveNet) are used to predict the two-dimensional coordinates of multiple key joints of the human body. Specifically, key points such as the nose, eyes, ears, shoulders, and elbows are regressed within the human bounding boxes. Key points of the head (such as the center of the nose or eyes) are directly used to calculate the target head position.

[0020] In the above embodiments, by setting the model algorithm in the image module to acquire and process images in the kitchen, the human body detection results and the target head position are obtained, which realizes the convenience and accuracy of image processing, improves the accuracy of the acquisition results and positions, and thus improves the accuracy and convenience of noise processing.

[0021] In an optional embodiment, the control module is further configured to acquire a preset noise and a preset sound wave file, and the noise processing module is further configured to generate the target noise reduction wave based on the preset noise, the preset sound wave file and the kitchen appliance noise acquired by the control module.

[0022] In one specific embodiment, a preset sound wave file is used to store noise comparison results, denoised noise waves, and the correspondence between the noise comparison results and the denoised noise waves. Optionally, the comparison results are used to indicate the magnitude comparison between the kitchen appliance noise and the preset noise. Specifically, when the human detection results obtained by the image processing module indicate the presence of a human body, the control module also obtains the preset noise and the preset sound wave file. Optionally, the preset sound wave file can be set by the user at the initial stage of using the noise reduction system. Correspondingly, the user can also modify the preset sound wave file before using the noise reduction system and store the preset sound wave file in the noise reduction system so that the noise reduction system can call the preset sound wave file. Further, when the control module obtains the kitchen appliance noise, the preset noise, and the preset sound wave file, a target denoised noise wave is generated based on the obtained kitchen appliance noise, the preset noise, and the preset sound wave file.

[0023] In the above embodiments, the noise processing module generates a target noise reduction wave by using the preset noise, kitchen appliance noise and preset sound wave file obtained by the control module, thereby reducing the complexity of the target noise reduction wave and improving the user experience.

[0024] In an optional embodiment, the noise processing module is further configured to compare the noise of the kitchen appliance with the preset noise to obtain a noise comparison result; and to generate the target noise reduction wave based on the noise comparison result and the preset sound wave file.

[0025] In one specific embodiment, the target noise reduction wave can be set to pleasant masking sound waves of different levels, optionally, such as music sound waves; the preset noise includes a first preset noise, a second preset noise, and a third preset noise. Optionally, the first preset noise is less than the second preset noise, and the second preset noise is less than the third preset noise. Accordingly, the kitchen appliance noise is first compared with the first preset noise. If the kitchen appliance noise is greater than the first preset noise, the kitchen appliance noise is then compared with the second preset noise. If the kitchen appliance noise is less than or equal to the second preset noise, a first noise comparison result is generated. Based on the first noise comparison result and the preset sound wave file, a first target noise reduction wave is generated. Optionally, the first target noise reduction wave can be a first-level target noise reduction wave, i.e., the lowest-level noise reduction wave. Optionally, if the kitchen appliance noise is greater than the second preset noise, the kitchen appliance noise is then compared with the third preset noise. The system compares noise levels. If the kitchen appliance noise is less than or equal to a third preset noise level, a second noise comparison result is generated. Based on this second noise comparison result and a preset sound wave file, a second target noise reduction wave is generated. Optionally, the second target noise reduction wave can be a second-level target noise reduction wave, i.e., a noise reduction wave one level higher than the lowest level noise reduction wave. Optionally, if the kitchen appliance noise is greater than a third preset noise level, a third noise comparison result is generated. Based on this third noise comparison result and a preset sound wave file, a third target noise reduction wave is generated. Optionally, the third target noise reduction wave can be a third-level target noise reduction wave, i.e., the highest level noise reduction wave. Optionally, this application can also set multiple different preset noise levels and kitchen appliance noise comparisons when setting preset noise and preset sound wave files, thereby generating more levels of target noise reduction waves based on the preset sound wave files to better improve the user experience.

[0026] In the above embodiments, the convenience of generating target noise reduction waves is improved by generating noise comparison results by comparing kitchen appliance noise with preset noise and generating target noise reduction waves from preset sound wave files; and by generating target noise reduction waves of different levels based on different noise comparison results, the adaptability and noise reduction effect of noise reduction are improved, thereby enhancing the user experience.

[0027] In an optional embodiment, the system further includes a communication module connected to the control module; The control module is also used to acquire sound detection results outside the kitchen, and when the sound detection results indicate that there is sound outside the kitchen, to activate the communication module and generate communication commands. The communication module is used to respond to the communication command generated by the control module, acquire the target sound outside the kitchen, and play the target sound.

[0028] In one specific embodiment, the sound detection result is used to indicate whether there is sound outside the kitchen; the communication command is used to indicate whether to start sound acquisition and play sound; specifically, the system also includes a communication module, which is connected to the control module. Optionally, the control module uses a sound detector to detect sound outside the kitchen. Optionally, the sound detector can be located outside the kitchen. Optionally, the sound detector is equipped with a recognition system to recognize human voices. Accordingly, when the sound detector detects human voices, it generates a sound detection result indicating that there is sound outside the kitchen and transmits it to the control module. Accordingly, the control module obtains the corresponding sound detection result, generates a communication command, and starts the communication module. Further, upon receiving the communication command, the communication module responds to the communication command, that is, it begins communication between the inside and outside of the kitchen. Optionally, the communication module acquires the target sound and plays the target sound.

[0029] In the above embodiments, by setting the communication module to enable communication between people inside and outside the kitchen under noise conditions, the smoothness and convenience of communication between people inside and outside the kitchen are improved, thereby enhancing the user experience.

[0030] In an optional embodiment, the communication module includes a sound pickup unit and a sound playback unit, the sound pickup unit and the sound playback unit being connected. The sound pickup unit is used to acquire the target sound; The sound playback unit is used to play the target sound acquired by the sound pickup unit.

[0031] In one specific embodiment, the communication module includes a sound pickup unit and a sound playback unit. The sound pickup unit and the sound playback device are connected so that the sound picked up by the sound pickup unit is transmitted to the sound playback unit for playback. Specifically, when the communication module starts communication, the sound pickup unit is activated to pick up human voices. Specifically, the sound pickup unit uses a sound pickup device to pick up the sound. Optionally, the sound pickup device can be a microphone or other device. Further, the sound pickup unit acquires the target sound and transmits the target sound to the sound playback unit. Correspondingly, the sound playback unit uses a sound playback device to play the target sound. Optionally, the sound playback device can be a speaker or other device.

[0032] In the above embodiments, sound is picked up by the sound pickup unit and played by the sound playback unit, which improves communication efficiency, saves resources, and enhances user experience.

[0033] This invention provides a noise reduction system for a kitchen, including an image module, a control module, a noise processing module, and a projection module. The image module, noise processing module, and projection module are all connected to the control module. The image module is used to acquire human detection results and target head positions within the kitchen, improving the purposefulness and accuracy of noise reduction. The control module, when the human detection results acquired by the image module indicate the presence of a human in the kitchen, acquires the noise of the corresponding kitchen appliances. If the kitchen appliance noise exceeds a first preset noise level, the noise processing module and projection module are activated, improving noise reduction efficiency. The noise processing module generates a target noise reduction wave based on the kitchen appliance noise acquired by the control module, improving the adaptability of the generated noise reduction wave. The projection module projects the target noise reduction wave generated by the noise processing module onto the target head position acquired by the image module, improving the accuracy of noise reduction. This noise reduction system achieves targeted noise reduction, improves noise reduction accuracy, adaptability, and efficiency, and ultimately enhances the user experience.

[0034] The following describes a noise reduction method for a kitchen provided by an embodiment of this application. This method is based on the aforementioned noise reduction system for a kitchen. Figure 2 This is a flowchart illustrating a noise reduction method for a kitchen, provided as an embodiment of this application. It should be noted that this specification provides the operational steps of the method described in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operational steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual system or product execution, the methods shown in the embodiments or drawings can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment). Specifically, as shown... Figure 2 As shown, the above method may include: S201: In response to noise reduction commands, acquire human detection results and target head position in the kitchen; S203: When the human body detection result indicates that a human body is present in the kitchen, acquire the kitchen appliance noise, preset sound wave file and preset noise of the kitchen appliances; S205: Based on kitchen appliance noise, preset sound wave files and preset noise, generate target noise reduction wave and control the projection of the target noise reduction wave onto the target head position.

[0035] In one specific embodiment, the noise reduction system in the user's kitchen continuously issues noise reduction commands based on a preset time interval. Correspondingly, the noise reduction system responds to the noise reduction commands by continuously acquiring the human body detection results and the target head position in the kitchen. Then, when the human body detection results indicate the presence of a human body in the kitchen, the noise of the kitchen appliances is acquired. Optionally, the noise reduction system also continuously acquires the noise of the kitchen appliances, and simultaneously acquires a preset sound wave file and a preset noise. The kitchen appliance noise and the preset noise are then compared to obtain a noise comparison result. Based on the noise comparison result and the preset sound wave file, a target noise reduction wave is generated, and the target noise reduction wave is projected onto the target head position to achieve specified noise reduction for the human body. Optionally, the process of generating the target noise reduction wave will not be described in detail here.

[0036] This invention provides a noise reduction method for kitchens. It obtains human body detection results and target head position. When the human body detection results indicate the presence of a human body in the kitchen, it obtains the noise of kitchen appliances, preset noise, and preset sound wave files. Then, based on the kitchen appliance noise, preset noise, and preset sound wave files, it generates a target noise reduction wave and projects the target noise reduction wave onto the target head position, thereby achieving targeted noise reduction, improving the accuracy and adaptability of noise reduction, and thus improving noise reduction efficiency and user experience.

[0037] Figure 3 This is a structural schematic diagram of a noise reduction device for a kitchen according to an exemplary embodiment. The following describes an embodiment of a noise reduction device for a kitchen according to this application, specifically, as follows... Figure 3 As shown, the device includes: The response module 301 is used to respond to the noise reduction command and obtain the human body detection results and the target head position in the kitchen; The acquisition module 303 is used to acquire the kitchen appliance noise, preset sound wave file and preset noise of the kitchen appliances when the human body detection result indicates that there is a human body in the kitchen; The projection module 305 is used to generate a target noise reduction wave based on the noise of the kitchen appliance, the preset sound wave file and the preset noise, and control the projection of the target noise reduction wave onto the target head position.

[0038] In an exemplary embodiment, an electronic device is also provided, including: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement a noise reduction method for a kitchen as described in the embodiments of this disclosure.

[0039] In an exemplary embodiment, a computer-readable storage medium is also provided, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the noise reduction method for a kitchen according to embodiments of the present disclosure. In an exemplary embodiment, a computer program product or computer program is also provided, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the noise reduction method for a kitchen provided in the various alternative implementations described above.

[0040] It is understood that in the specific embodiments of the present invention, data related to patrol administrators is involved. When the above embodiments of the present invention are applied to specific products or technologies, the permission or consent of the patrol administrator is required, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0041] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0042] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0043] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A noise reduction system for a kitchen, characterized in that, The system includes an image module, a control module, a noise processing module, and a projection module; the image module, the noise processing module, and the projection module are each connected to the control module; the image module and the noise processing module are each connected to the projection module. The image module is used to acquire human detection results and target head positions in the kitchen; The control module is used to acquire the noise of kitchen appliances corresponding to kitchen appliances in the kitchen when the human detection result obtained by the image module indicates that there is a human body in the kitchen; and to activate the noise processing module and the projection module when the noise of the kitchen appliances is greater than a first preset noise. The noise processing module generates a target noise reduction wave based on the noise from the kitchen appliances obtained by the control module; The projection module is used to project the target noise reduction wave generated by the noise processing module onto the target head position obtained by the image module.

2. The system according to claim 1, characterized in that, The system also includes a communication module, which is connected to the control module; The control module is also used to acquire sound detection results outside the kitchen, and when the sound detection results indicate that there is sound outside the kitchen, to activate the communication module and generate communication commands. The communication module is used to respond to the communication command generated by the control module, acquire the target sound outside the kitchen, and play the target sound.

3. The system according to claim 2, characterized in that, The communication module includes a sound pickup unit and a sound playback unit, and the sound pickup unit and the sound playback unit are connected. The sound pickup unit is used to acquire the target sound; The sound playback unit is used to play the target sound acquired by the sound pickup unit.

4. The system according to claim 1, characterized in that, The control module is also used to acquire preset noise and preset sound wave files, and the noise processing module is also used to generate the target noise reduction wave based on the preset noise, the preset sound wave files and the kitchen appliance noise acquired by the control module.

5. The system according to claim 4, characterized in that, The noise processing module is further configured to compare the noise of the kitchen appliance with the preset noise to obtain a noise comparison result; and to generate the target noise reduction wave based on the noise comparison result and the preset sound wave file.

6. The system according to claim 1, characterized in that, The image module is also used to acquire kitchen images and determine the human body detection results and the target head position based on the kitchen images.

7. A noise reduction method for a kitchen based on the system described in any one of claims 1-6, characterized in that, The method includes: In response to noise reduction commands, acquire human detection results and target head positions within the kitchen; When the human detection result indicates that a human is present in the kitchen, acquire the kitchen appliance noise, preset sound wave file and preset noise of the kitchen appliances; Based on the noise from the kitchen appliances, the preset sound wave file, and the preset noise, a target noise reduction wave is generated, and the target noise reduction wave is projected onto the target head position.

8. A noise reduction device for a kitchen based on the system described in any one of claims 1-6, characterized in that, The device includes: The response module is used to respond to noise reduction commands and obtain the human detection results and target head position in the kitchen; The acquisition module is used to acquire the kitchen appliance noise, preset sound wave file and preset noise of the kitchen appliances when the human body detection result indicates that a human body is present in the kitchen; The projection module is used to generate a target noise reduction wave based on the noise of the kitchen appliances, the preset sound wave file and the preset noise, and control the projection of the target noise reduction wave onto the target head position.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the noise reduction method for a kitchen as described in claim 7.

10. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device is able to perform the noise reduction method for a kitchen as described in claim 7.

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