Mute control method and device of electrical equipment, electrical equipment, medium and product

Abstract

The invention relates to the technical field of household appliances, and discloses a mute control method and device of electrical equipment, the electrical equipment, a medium and a product. Sound signals of a user and human body activity frequency in an activity area are collected, and the sound signals and the human body activity frequency are synthesized to determine an environment state index; when it is detected that the environment state index is low and the duration time is long, it is judged that the user enters the deep rest state, and therefore the electrical equipment is controlled to start the mute mode. By integrating the activity frequency of the user and the generated sound, whether the environment state is suitable for starting the mute mode or not is analyzed in a multi-dimensional mode, the control accuracy of the mute mode is improved, the frequency of false triggering and missed triggering is reduced, and therefore a comfortable rest environment is provided for the user.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of household appliances, in particular to a mute control method and device of an electric appliance, an electric appliance, a medium and a product. BACKGROUND

[0002] The mute mode is a common working mode of household appliances. In the mute mode, the household appliances reduce the aerodynamic noise (e.g. wind noise) and mechanical vibration noise generated during operation to achieve the effect of overall noise reduction. In order to reduce noise, the household appliances generally reduce the operating power in the mute mode. Therefore, the mute mode is triggered only when the user wants to sleep, rest or needs to concentrate.

[0003] Many existing household appliances, especially fans, humidifiers, air conditioners and the like used in the bedroom scene, rely on a single sensor (such as a sound detector) to trigger the mute mode, that is, the single sensor is used to detect whether the user has entered sleep or rest. However, user activities are not only related to sound. Sometimes, the sound generated by the user during the activity is also very small. The traditional single-sensor detection mode only relies on single-dimensional information for detection, which leads to inaccurate control of the mute mode of the household appliances. SUMMARY

[0004] The present application provides a mute control method and device of an electric appliance, an electric appliance, a medium and a product to solve the problem that the conventional solution cannot accurately control the mute mode of the household appliances.

[0005] In a first aspect, the present application provides a mute control method of an electric appliance, which comprises: obtaining an activity area of a user, monitoring the human activity frequency of the user in the activity area, and collecting a sound signal of the user; obtaining a noise index according to the sound signal, and obtaining an activity index according to the human activity frequency; obtaining an environment state index according to the noise index and the activity index; if it is detected that the environment state index is less than an environment state index threshold value, and the duration for which the environment state index is less than a preset environment state index reaches a first preset duration, then controlling the electric appliance to start the mute mode.

[0006] This invention collects the user's voice signals and the frequency of human activity within the activity area. By combining these two data, an environmental state index is determined. When a low environmental state index is detected and persists for a prolonged period, it is determined that the user has entered a deep rest state, thereby controlling electrical equipment to activate a silent mode. By comprehensively analyzing the user's activity frequency and the generated sounds, the invention provides a multi-dimensional analysis of whether the environmental state is suitable for activating silent mode, improving the accuracy of silent mode control, reducing false triggers and missed triggers, and thus providing users with a comfortable resting environment.

[0007] In one optional implementation, the environmental state index is obtained based on the noise index and the activity index, including: Determine the first weight corresponding to the noise index and the second weight corresponding to the activity index; The noise index and activity index are weighted and fused according to the first and second weights to obtain the environmental state index.

[0008] This invention constructs an environmental state index to quantitatively judge the multi-dimensional perception of user noise and activity behavior, and then integrates multi-dimensional perception information to determine whether the user has entered a deep rest state, so as to control the silent mode of electrical appliances.

[0009] In one alternative implementation, the method further includes: After each time the electrical appliance is turned on into silent mode, the user's operation to turn off silent mode is monitored within a preset control cycle to obtain the number of times silent mode is falsely triggered. If the number of false triggers reaches the preset number of false triggers, the environmental state index threshold is reduced, and the first and second weights are adjusted according to the relationship between the noise index and the activity index.

[0010] This invention, after each activation of silent mode, monitors the user's actions to deactivate silent mode to determine the number of false triggers. When silent mode is frequently falsely triggered, the environmental state index threshold used to determine whether silent mode is activated is lowered, thereby reducing the trigger frequency of silent mode.

[0011] In one optional implementation, the first weight and the second weight are adjusted according to the relationship between the noise index and the activity index, including: If the noise index is detected to be greater than the activity index, the first weight is increased and the second weight is decreased. If the noise index is detected to be less than the activity index, the first weight is reduced and the second weight is increased.

[0012] If this invention detects too many false triggers, it indicates that the weight of the primary sensing factor is too small, resulting in an excessively low calculated environmental state index, which triggers the electrical equipment to enter silent mode. If the detected noise index is greater than the activity index, the first weight is increased and the second weight is decreased to increase the proportion of the noise index; if the detected noise index is less than the activity index, the first weight is decreased and the second weight is increased, thereby avoiding an excessively low calculated environmental state index and preventing false triggering of silent mode.

[0013] In one alternative implementation, the method further includes: When the electrical equipment is not controlled to turn on silent mode, the user's operation to turn on silent mode is monitored within a preset control cycle to obtain the number of missed triggers of silent mode. If the number of missed triggers reaches the preset number of missed triggers, the environmental state index threshold is increased, and the first and second weights are adjusted according to the relationship between the noise index and the activity index.

[0014] This invention, when silent mode is not enabled, obtains the number of missed triggers of silent mode by monitoring the user's actions to enable silent mode. In cases of frequent missed triggers of silent mode, the threshold of the environmental state index used to determine whether silent mode is enabled is increased, thereby improving the trigger sensitivity of silent mode.

[0015] In one optional implementation, the first weight and the second weight are adjusted according to the relationship between the noise index and the activity index, including: If the noise index is detected to be greater than the activity index, the first weight is reduced and the second weight is increased. If the noise index is detected to be less than the activity index, the first weight is increased and the second weight is decreased.

[0016] If this invention detects too many missed triggers, it indicates that the weight of the main sensing factor is too high, leading to an excessively high calculated environmental state index, which in turn causes the electrical equipment to fail to activate silent mode. If the noise index is detected to be greater than the activity index, the proportion of the noise index is reduced by decreasing the first weight and increasing the second weight; if the noise index is detected to be less than the activity index, the first weight is increased and the second weight is decreased to avoid an excessively high calculated environmental state index.

[0017] In one alternative implementation, monitoring the frequency of human activity of a user within an activity area includes: By monitoring the movement signals of heat sources within the activity area, the movement trajectory of the heat sources can be obtained; If the duration of the detected heat source motion signal reaches the second preset duration, and the heat source motion trajectory is a continuous trajectory, then a valid user activity is recorded, and the number of valid user activities within a preset unit time is counted. The frequency of human activity within the activity area is obtained based on the number of valid activities of the user within a preset unit of time.

[0018] This invention verifies the temporal and spatial continuity of heat source motion signals by detecting the duration and trajectory continuity of the heat source motion signals, thereby recording the actual number of effective user activities, eliminating instantaneous electromagnetic interference or brief heat source fluctuations, and obtaining accurate human activity frequencies.

[0019] In one optional implementation, the noise index is obtained based on the sound signal, and the activity index is obtained based on the frequency of human activity, including: Calculate the decibel value of the sound signal for each audio frame, and then calculate the user's sound sample value based on the decibel value for each audio frame. The noise index is obtained by normalizing the user's voice sample values, and the activity index is obtained by normalizing the human activity frequency.

[0020] This invention calculates the user's sound sample value by using the decibel value corresponding to each audio frame, reflecting the noise intensity subjectively perceived by the user's ear and simulating the characteristics of human hearing. Then, the user's sound sample value and the frequency of human activity are normalized to obtain a noise index and an activity index, which measure the intensity of noise generated by the user and the intensity of their activity, in order to determine whether the user has entered a state of rest or sleep.

[0021] In a second aspect, the present invention provides a noise control device for electrical appliances, the device comprising: The acquisition module is used to acquire the user's activity area, monitor the frequency of human activity within the activity area, and collect the user's voice signals. The first processing module is used to obtain the noise index based on the sound signal and the activity index based on the frequency of human activity. The second processing module is used to obtain the environmental state index based on the noise index and the activity index. The third processing module is used to control the electrical equipment to turn on silent mode if the detected environmental state index is less than the environmental state index threshold and the duration of the environmental state index being less than the preset environmental state index reaches a first preset duration.

[0022] Thirdly, the present invention provides an electrical device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the silent control method of the electrical device described in the first aspect or any corresponding embodiment.

[0023] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the silent control method of the electrical device described in the first aspect or any corresponding embodiment thereof.

[0024] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the silent control method of an electrical device according to the first aspect or any corresponding embodiment described above. Attached Figure Description

[0025] 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.

[0026] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a schematic flowchart of a first method for controlling the noise of an electrical device according to an embodiment of the present invention; Figure 3 This is a schematic flowchart of a second method for controlling the noise of electrical equipment according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the third process of a silent control method for electrical equipment according to an embodiment of the present invention; Figure 5 This is a structural block diagram of a silent control device for an electrical appliance according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the hardware structure of the electrical device according to an embodiment of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0028] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0029] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0030] As an optional application scenario of this invention, such as Figure 1 As shown, the silent control system of the electrical device may include at least one mobile terminal and at least one server. Figure 1 The example shows that the system includes an electrical appliance 101, a mobile terminal 102, and a server 103, and the terminal devices such as the electrical appliance 101 and the mobile terminal 102 are connected to the server 103 through a network 110.

[0031] Specifically, the mobile terminal can be a smartphone, tablet, laptop, PDA, desktop computer, game console, smart TV, smart wearable device, in-vehicle terminal, VR (Virtual Reality) device, AR (Augmented Reality) device, etc. Server 103 can be a standalone physical server, a server cluster, a distributed system, or a cloud server providing cloud services. Network 110 can be a wired or wireless network, examples of which include, but are not limited to, the Internet, corporate intranet, local area network, wide area network, mobile communication network, and combinations thereof.

[0032] The relevant technical solutions rely on time settings or a single sensor to trigger the silent mode, which has problems such as false triggering (e.g., the user is sitting quietly and is mistakenly identified as sleeping) and missed triggering (e.g., the environment is noisy but the silent mode is not activated).

[0033] This invention provides a method for controlling the silent operation of electrical appliances. It collects both the user's voice signal and the frequency of human activity within the user's activity area. By combining the voice signal and the human activity frequency, an environmental state index is determined. When the environmental state index is detected to be low for a prolonged period, it is determined that the user has entered a resting state, thereby controlling the electrical appliance to activate a silent mode. By comprehensively analyzing the user's activity frequency and the generated sound, the method determines whether the environmental state is suitable for activating the silent mode, improving the accuracy of silent mode control and providing a comfortable resting environment for the user.

[0034] According to an embodiment of the present invention, a method for controlling the silence of an electrical device is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0035] This embodiment provides a method for controlling the noise level of electrical appliances, which can be used in the aforementioned electrical appliances, such as air conditioners, electric fans, humidifiers, etc. Figure 2 This is a flowchart of a method for controlling the quietness of an electrical device according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Obtain the user's activity area, monitor the frequency of human activity within the activity area, and collect the user's sound signal.

[0036] Specifically, electrical devices have various built-in or external sensors, such as microphone sensors and multiple motion detection sensors. The microphone sensor can be used to collect sound signals generated by the user (such as the user's voice, noise generated by the user's movements, etc.), and the motion detection sensors can be used to collect heat source motion signals to determine the frequency of human activity. Among them, the motion detection sensors can be passive infrared (PIR) sensors, millimeter-wave radar, or infrared array sensors to sense human activity.

[0037] In this embodiment, the detection angle and detection distance for each motion detection sensor can be pre-set, allowing each sensor to have a different detection range. Users can set the usage area of ​​electrical appliances via a mobile terminal, such as setting a bedroom air conditioner or a living room air conditioner. Based on the user-set usage area, the electrical appliance obtains the user's activity area and, in conjunction with this area, selects a motion detection sensor with a suitable detection range to monitor the frequency of human activity within that area. The activity area includes, but is not limited to, bedrooms and living rooms.

[0038] Step S202: Obtain the noise index based on the sound signal and the activity index based on the frequency of human activity.

[0039] Specifically, a noise index is calculated based on the sound signal. This noise index measures the intensity of noise generated by the user; the higher the signal value of the sound signal, the louder the sound and noise generated by the user, and the higher the noise index. Furthermore, an activity index is calculated based on the frequency of human activity. This activity index measures the intensity of the user's activity; the higher the frequency of human activity, the higher the activity index.

[0040] Step S203: Obtain the environmental state index based on the noise index and activity index.

[0041] Specifically, based on the noise index and activity index, the environmental state index (EI) is obtained by comprehensively considering the impact of noise and user activities on environmental comfort. The environmental state index is used to characterize the quietness of the environment. The quieter the environment, the less noise and activity users generate, and the lower the environmental state index.

[0042] Step S204: If the environmental state index is detected to be less than the environmental state index threshold, and the duration of the environmental state index being less than the preset environmental state index reaches the first preset duration, then control the electrical equipment to turn on the silent mode.

[0043] Specifically, when the environmental state index EI is less than the environmental state index threshold (e.g., 0.2) and the duration is not less than the first preset duration (e.g., 30 seconds), the user is determined to be in a deep rest state, and the electrical appliance automatically triggers the silent mode.

[0044] For example, taking an air conditioner as an example, when the electrical appliance is controlled to turn on the silent mode, the fan is controlled to run at a reduced speed and the compressor runs intermittently to reduce the noise of the air conditioner.

[0045] This invention provides a method for controlling the silent operation of electrical appliances. It collects the user's voice signal and the frequency of human activity within the activity area, and determines an environmental state index by combining the voice signal and the human activity frequency. When a low environmental state index is detected and persists for a long period, it is determined that the user has entered a deep rest state, thereby controlling the electrical appliance to activate a silent mode. By comprehensively analyzing the user's activity frequency and the generated sound, the method determines whether the environmental state is suitable for activating the silent mode, improving the accuracy of silent mode control, reducing false triggers and missed triggers, and thus providing users with a comfortable resting environment.

[0046] This embodiment provides a method for controlling the noise level of electrical appliances, which can be used in the aforementioned electrical appliances, such as air conditioners, electric fans, humidifiers, etc. Figure 3 This is a flowchart of a method for controlling the quietness of an electrical device according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps: Step S301: Obtain the user's activity area, monitor the frequency of human activity within the activity area, and collect the user's sound signals.

[0047] Specifically, step S301 includes: Step S3011: Obtain the user's activity area, monitor the heat source movement signal within the activity area, and obtain the heat source movement trajectory.

[0048] Specifically, the motion detection sensor scans the active area at a fixed interval (every 5 seconds) to acquire the motion signal of the heat source within the active area. The heat source motion signal includes the location information of the heat source. By observing the change of the heat source motion signal over time, the trajectory of the heat source is obtained.

[0049] Step S3012: If the duration of the detected heat source motion signal reaches the second preset duration, and the heat source motion trajectory is a continuous trajectory, then record one valid user activity and count the number of valid user activities within a preset unit time.

[0050] Specifically, when a heat source motion signal is detected, if the duration of the heat source motion signal reaches a second preset duration (e.g., 0.5 seconds) and the heat source motion trajectory is continuous, then the number of valid activities of the user is incremented by one to obtain the number of valid activities of the user within a preset unit time (e.g., 1 minute).

[0051] In some embodiments, the motion detection sensor includes multiple fan-shaped sensing areas. If the motion trajectory of the heat source is detected to be triggered sequentially in multiple adjacent fan-shaped sensing areas, that is, the heat source is displaced in the adjacent sensing areas, and there is a real displacement behavior on the surface.

[0052] Step S3013: Based on the number of valid activities of the user within a preset unit time, obtain the frequency of human activity of the user in the activity area.

[0053] Specifically, the main control unit of the electrical equipment counts the number of effective activities within a preset unit of time (e.g., 1 minute) as the human activity frequency F (unit: times / minute).

[0054] This embodiment verifies the temporal and spatial continuity of the heat source motion signal by detecting the duration and trajectory continuity of the heat source motion signal, thereby recording the actual number of effective user activities to eliminate instantaneous electromagnetic interference or brief heat source fluctuations and obtain an accurate human activity frequency.

[0055] Step S302: Obtain the noise index based on the sound signal and the activity index based on the frequency of human activity.

[0056] Specifically, step S302 includes: Step S3021: Calculate the decibel value of the sound signal corresponding to each audio frame, and calculate the user's sound sampling value based on the decibel value corresponding to each audio frame.

[0057] Specifically, the built-in microphone sensor of the electrical appliance converts the collected sound pressure signal into an electrical signal. After analog-to-digital conversion, the electrical signal is input to the main control unit of the electrical appliance, enabling the main control unit to obtain the user's voice signal and process the data.

[0058] In some embodiments, for ease of processing, the sound signal is segmented into a series of consecutive audio frames, each audio frame comprising multiple discrete audio samples. For each audio frame of the sound signal, the root mean square (RMS) value of the audio samples within that audio frame is calculated to obtain the equivalent sound pressure level of that audio frame. The RMS calculation is performed on the audio samples of each audio frame to measure the effective energy (i.e., sound pressure level intensity) of the sound signal within that time period (e.g., 1 second).

[0059] Furthermore, for each audio frame, an A-weighting filter is applied to its corresponding root mean square value to obtain the decibel value (i.e., A-weighted decibel value, dBA) for that audio frame, reflecting the noise intensity subjectively perceived by the user's ear. Since the human ear has different sensitivities to different frequencies of sound—sensitive to mid-frequency sounds and insensitive to low and high-frequency sounds—the A-weighting filter is used to weight the audio signal, simulating the characteristics of human hearing. The specific process of the A-weighting filter can be found in the descriptions of relevant technologies and will not be elaborated upon here.

[0060] In some embodiments, the decibel values ​​of multiple consecutively acquired audio frames are smoothed to obtain the user voice sample value L. For example, within a sliding window, the average or median of the decibel values ​​of multiple audio frames is used as the user voice sample value L to reduce the impact of instantaneous noise fluctuations. The calculated user voice sample value L can be output every 5 seconds for subsequent calculation of the environmental state index.

[0061] Step S3022: Normalize the user's voice sample values ​​to obtain the noise index, and normalize the human activity frequency to obtain the activity index.

[0062] Specifically, the main control unit of the electrical equipment normalizes the collected user voice sampling value L and human activity frequency F. Through normalization, the values ​​in different units, namely the user voice sampling value L in dBA and the human activity frequency F in times / minute, are converted into decimals between 0 and 1, so that the two can be multiplied and compared fairly, thereby calculating the environmental state index.

[0063] For example, the normalization formula for the user's voice sample value L is:

[0064] in, This represents the noise level.

[0065] For example, the normalized formula for the human activity frequency F is:

[0066] in, This is the activity index.

[0067] This embodiment calculates the user's sound sample value using the decibel value corresponding to each audio frame to reflect the noise intensity subjectively perceived by the user's ear, simulating the characteristics of human hearing. Then, the user's sound sample value and the frequency of human activity are normalized to obtain a noise index and an activity index, which measure the intensity of noise generated by the user and the intensity of their activity, in order to determine whether the user has entered a state of rest or sleep.

[0068] Step S303: Obtain the environmental state index based on the noise index and activity index.

[0069] Specifically, step S303 includes: Step S3031: Determine the first weight corresponding to the noise index and the second weight corresponding to the activity index.

[0070] Specifically, determine the first weight corresponding to the noise index. And the second weight corresponding to the activity index ,in, + = 1, and It can be set based on the physiological characteristic that humans are more sensitive to sound than to movement, that is .

[0071] Step S3032: Based on the first weight and the second weight, the noise index and the activity index are weighted and fused to obtain the environmental state index.

[0072] Specifically, the noise index and activity index are weighted and fused according to the following formula:

[0073] in, This is an environmental status index.

[0074] This embodiment constructs an environmental state index to achieve quantitative judgment of multi-dimensional perception of user noise and activity behavior, and then integrates multi-dimensional perception information to determine whether the user has entered a deep rest state, so as to control the silent mode of electrical appliances.

[0075] Step S304: If the environmental state index is detected to be less than the environmental state index threshold, and the duration of the environmental state index being less than the preset environmental state index reaches the first preset duration, then control the electrical equipment to turn on the silent mode.

[0076] In some optional implementations, after performing step S304, the following steps are performed: Step a1: After each time the electrical device is turned on into silent mode, monitor the user's operation to turn off silent mode within a preset control cycle to obtain the number of times silent mode is falsely triggered.

[0077] Specifically, each time the silent mode is automatically activated, it records whether the user manually deactivated the silent mode. If the user's deactivation is detected, it means that the user has not yet rested. Within a preset time period (e.g., 5 minutes) after each time the electrical appliance is activated in silent mode, if the user's deactivation is detected, it is recorded as one false trigger, and the number of false triggers within a preset control period (e.g., 24 hours) is counted.

[0078] Step a2: If the number of false triggers reaches the preset number of false triggers, the environmental state index threshold is reduced, and the first weight and the second weight are adjusted according to the relationship between the noise index and the activity index.

[0079] Specifically, if the number of false triggers is too high, reaching the preset number of false triggers (e.g., 3 times, which can be set according to the actual scenario), it indicates that the electrical equipment is not good at recognizing user noise and activity, resulting in frequent misjudgments. The trigger frequency of silent mode can be reduced by lowering the environmental state index threshold.

[0080] Furthermore, if the number of false triggers is too high, it indicates that the weight of the primary sensing factor is too small, resulting in an excessively low calculated environmental state index, which in turn triggers the electrical equipment to enter silent mode. If the noise level at this time is detected... Greater than the activity index By increasing the first weight and reduce the second weight. Increase noise level The proportion of [something] should be considered to avoid underestimating the calculated environmental state index. Similarly, if a noise index is detected... Less than the activity index Then reduce the first weight. and increase the second weight. .

[0081] This embodiment monitors the user's actions to turn off silent mode each time it is enabled, thus determining the number of times silent mode is falsely triggered. If silent mode is frequently falsely triggered, the environmental state index threshold used to determine whether silent mode is enabled is lowered, thereby reducing the trigger frequency of silent mode.

[0082] In some optional implementations, if the detected environmental state index is not less than an environmental state index threshold, the electrical appliance is controlled to turn off the silent mode. Furthermore, when controlling the electrical appliance to turn off the silent mode or maintain the silent mode off state, the following steps are performed: Step b1: When the electrical equipment is not controlled to turn on the silent mode, monitor the user's operation to turn on the silent mode within a preset control cycle to obtain the number of missed triggers of the silent mode.

[0083] Specifically, after the silent mode has not been started, the system monitors whether the user manually turns on the silent mode. If the user's action is detected, it means that the user is about to enter a rest period. As long as the user's action to turn on the silent mode is detected, a missed trigger count is recorded, and the number of missed triggers within the preset control period (e.g., 24 hours) is counted.

[0084] Step b2: If the number of missed triggers reaches the preset number of missed triggers, increase the environmental state index threshold, and adjust the first weight and the second weight according to the relationship between the noise index and the activity index.

[0085] Specifically, if the number of missed triggers is too high, reaching the preset number of missed triggers (e.g., 3 times, which can be set according to the actual scenario), it indicates that the electrical equipment often fails to trigger the silent mode due to excessive noise or excessive activity, and its response to the quiet environment is sluggish. By increasing the environmental state index threshold, the trigger sensitivity of the silent mode can be improved.

[0086] Furthermore, if there are too many missed triggers, it indicates that the weight of the primary sensing factor is too high, leading to an excessively high calculated environmental state index, which in turn causes the electrical equipment to fail to activate silent mode. If the noise level at this time is detected... Greater than the activity index By reducing the first weight and increase the second weight. Reduce noise level The proportion should be adjusted to avoid overestimating the calculated environmental state index. Similarly, if a noise index is detected... Less than the activity index Then increase the first weight. and reduce the second weight. .

[0087] This invention, when silent mode is not enabled, obtains the number of missed triggers of silent mode by monitoring the user's actions to enable silent mode. In cases of frequent missed triggers of silent mode, the threshold of the environmental state index used to determine whether silent mode is enabled is increased, thereby improving the trigger sensitivity of silent mode.

[0088] It should be noted that, in the above embodiments, the first weight... Second weight When performing adaptive adjustment, it should be maintained + =1, and ensure To prevent parameter instability.

[0089] This embodiment adaptively adjusts the weight configuration and dynamically adjusts w1 and w2 based on user feedback regarding silent mode (such as frequent manual shutdown or startup), making the Environmental State Index (EI) more closely match the user's actual work and rest habits and improving the accuracy of the judgment.

[0090] The silent control method for electrical appliances provided in this embodiment integrates environmental noise and human activity to construct an environmental state index, enabling quantitative judgment through multi-dimensional perception. It also introduces a weighted adaptive mechanism based on user feedback to dynamically adjust the influence weights of each factor, making silent mode control increasingly accurate with use. This not only significantly improves the accuracy and personalization of silent mode triggering but also forms a complete closed loop of perception, decision-making, execution, and learning, providing a scalable technical framework for intelligent control of home appliances.

[0091] The following describes the noise control scheme for electrical equipment according to the present invention with a specific application example.

[0092] like Figure 4 As shown, after the system is powered on, the electrical equipment is initialized and the system determines whether the silent mode is enabled. If it is not enabled, the system controls the various detection modules (such as various sensors) used in the silent mode to operate at low power consumption, thereby reducing the energy consumption of the electrical equipment.

[0093] If silent mode is enabled, the system collects the user's human activity frequency and sound decibel level, normalizes these parameters, and calculates a weighted Environmental State Index (EI). The EI quantifies the activity level of the user's area, and the system adjusts the silent mode of electrical appliances (on or off) based on this EI. Furthermore, it adaptively adjusts the weights based on user feedback, making the EI more closely match the user's actual lifestyle and improving accuracy.

[0094] In related technologies, the silent mode triggering of household appliances relies on a single sensor (such as timing, infrared sensing or sound detection), which can easily lead to false triggering (such as misjudging that no one is present when the user is sitting still) or missed triggering (such as when the environment is quiet but human activity is frequent). This invention is based on multi-dimensional environmental perception fusion, which can accurately identify the user's silent needs and automatically trigger the silent mode, with higher accuracy.

[0095] This embodiment also provides a silent control device for electrical equipment, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0096] This embodiment provides a noise control device for electrical equipment, such as... Figure 5 As shown, it includes: The acquisition module 501 is used to acquire the user's activity area, monitor the frequency of human activity within the activity area, and collect the user's sound signals. The first processing module 502 is used to obtain the noise index based on the sound signal and the activity index based on the human activity frequency; The second processing module 503 is used to obtain the environmental state index based on the noise index and the activity index; The third processing module 504 is used to control the electrical equipment to turn on silent mode if the detected environmental state index is less than the environmental state index threshold and the duration of the environmental state index being less than the preset environmental state index reaches a first preset duration.

[0097] In some optional implementations, the acquisition module 501 is further configured to: By monitoring the movement signals of heat sources within the activity area, the movement trajectory of the heat sources can be obtained; If the duration of the detected heat source motion signal reaches the second preset duration, and the heat source motion trajectory is a continuous trajectory, then a valid user activity is recorded, and the number of valid user activities within a preset unit time is counted. The frequency of human activity within the activity area is obtained based on the number of valid activities of the user within a preset unit of time.

[0098] In some alternative implementations, the first processing module 502 is further configured to: Calculate the decibel value of the sound signal for each audio frame, and then calculate the user's sound sample value based on the decibel value for each audio frame. The noise index is obtained by normalizing the user's voice sample values, and the activity index is obtained by normalizing the human activity frequency.

[0099] In some optional implementations, the second processing module 503 is further configured to: Determine the first weight corresponding to the noise index and the second weight corresponding to the activity index; The noise index and activity index are weighted and fused according to the first and second weights to obtain the environmental state index.

[0100] In some optional implementations, the third processing module 504 is further configured to: After each time the electrical appliance is turned on into silent mode, the user's operation to turn off silent mode is monitored within a preset control cycle to obtain the number of times silent mode is falsely triggered. If the number of false triggers reaches the preset number of false triggers, the environmental state index threshold is reduced, and the first and second weights are adjusted according to the relationship between the noise index and the activity index.

[0101] In some optional implementations, the third processing module 504 is further configured to: If the noise index is detected to be greater than the activity index, the first weight is increased and the second weight is decreased. If the noise index is detected to be less than the activity index, the first weight is reduced and the second weight is increased.

[0102] In some optional embodiments, the device further includes: a fourth processing module, configured to: monitor the user's operation to activate the silent mode within a preset control cycle when the electrical equipment is not controlled to activate the silent mode, and obtain the number of missed triggers of the silent mode; If the number of missed triggers reaches the preset number of missed triggers, the environmental state index threshold is increased, and the first and second weights are adjusted according to the relationship between the noise index and the activity index.

[0103] In some optional implementations, the fourth processing module is further configured to: If the noise index is detected to be greater than the activity index, the first weight is reduced and the second weight is increased. If the noise index is detected to be less than the activity index, the first weight is increased and the second weight is decreased.

[0104] The noise control device for electrical appliances provided in this embodiment of the invention can execute the noise control method for electrical appliances provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the various modules and units described above are the same as in the corresponding embodiments described above, and will not be repeated here.

[0105] Figure 6 This is a schematic diagram of the structure of an electrical device provided in an embodiment of the present invention.

[0106] The following is a detailed reference. Figure 6 The diagram illustrates a structural schematic suitable for implementing an electrical device according to an embodiment of the present invention. The electrical device may include a processor (e.g., a central processing unit, graphics processor, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from memory 608 into random access memory (RAM) 603. The RAM 603 also stores various programs and data required for the operation of the electrical device. The processor 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0107] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 608 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows electrical equipment to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 Electrical equipment with various devices is shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0108] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 609, or installed from a memory 608, or installed from a ROM 602. When the computer program is executed by the processor 601, it performs the functions defined in the silent control method for electrical equipment according to embodiments of the present invention.

[0109] Figure 6 The electrical equipment shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention.

[0110] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the silent control method for electrical equipment shown in the above embodiments is implemented.

[0111] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0112] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for controlling the noise level of an electrical appliance, characterized in that, The method includes: The system acquires the user's activity area, monitors the frequency of human activity within the activity area, and collects the user's voice signals. The noise index is obtained based on the sound signal, and the activity index is obtained based on the human activity frequency; The environmental state index is obtained based on the noise index and the activity index; If the environmental state index is detected to be less than the environmental state index threshold, and the duration for which the environmental state index is less than the preset environmental state index reaches a first preset duration, then the electrical equipment is controlled to enter silent mode.

2. The method for controlling the noise of electrical equipment according to claim 1, characterized in that, The process of obtaining the environmental state index based on the noise index and the activity index includes: Determine the first weight corresponding to the noise index and the second weight corresponding to the activity index; The noise index and the activity index are weighted and fused according to the first weight and the second weight to obtain the environmental state index.

3. The method for controlling the noise of electrical equipment according to claim 2, characterized in that, The method further includes: After each time the electrical appliance is turned on into silent mode, the user's operation to turn off the silent mode is monitored within a preset control cycle to obtain the number of times the silent mode is falsely triggered. If the number of false triggers is detected to reach the preset number of false triggers, the environmental state index threshold is reduced, and the first weight and the second weight are adjusted according to the relationship between the noise index and the activity index.

4. The method for controlling the noise of electrical equipment according to claim 3, characterized in that, The step of adjusting the first weight and the second weight based on the relationship between the noise index and the activity index includes: If the noise index is detected to be greater than the activity index, then the first weight is increased and the second weight is decreased; If the noise index is detected to be less than the activity index, the first weight is reduced and the second weight is increased.

5. The method for controlling the noise of electrical equipment according to claim 2, characterized in that, The method further includes: When the electrical equipment is not controlled to turn on the silent mode, the user's operation to turn on the silent mode is monitored within a preset control cycle to obtain the number of missed triggers of the silent mode. If the number of missed triggers is detected to reach the preset number of missed triggers, the environmental state index threshold is increased, and the first weight and the second weight are adjusted according to the relationship between the noise index and the activity index.

6. The method for controlling the noise of electrical equipment according to claim 5, characterized in that, The step of adjusting the first weight and the second weight based on the relationship between the noise index and the activity index includes: If the noise index is detected to be greater than the activity index, then the first weight is reduced and the second weight is increased; If the noise index is detected to be less than the activity index, the first weight is increased and the second weight is decreased.

7. The method for controlling the noise of electrical equipment according to any one of claims 1-6, characterized in that, The monitoring of the frequency of human activity of users within the activity area includes: Monitor the heat source movement signal within the activity area to obtain the heat source movement trajectory; If the duration of the detected heat source motion signal reaches the second preset duration, and the heat source motion trajectory is a continuous trajectory, then a valid user activity is recorded, and the number of valid user activities within a preset unit time is counted. The frequency of human activity within the activity area is obtained based on the number of valid activities performed by the user within a preset unit of time.

8. The method for controlling the noise of electrical equipment according to any one of claims 1-6, characterized in that, The step of obtaining the noise index based on the sound signal and the activity index based on the human activity frequency includes: Calculate the decibel value of the sound signal for each audio frame, and calculate the user's sound sample value based on the decibel value for each audio frame; The user's voice sample values ​​are normalized to obtain the noise index, and the human activity frequency is normalized to obtain the activity index.

9. A silent control device for electrical equipment, characterized in that, The device includes: The acquisition module is used to acquire the user's activity area, monitor the frequency of human activity within the activity area, and collect the user's sound signals. The first processing module is used to obtain a noise index based on the sound signal and an activity index based on the human activity frequency. The second processing module is used to obtain the environmental state index based on the noise index and the activity index; The third processing module is used to control the electrical equipment to turn on silent mode if it is detected that the environmental state index is less than the environmental state index threshold and the duration of the environmental state index being less than the preset environmental state index reaches a first preset duration.

10. An electrical appliance, characterized in that, include: A memory and a processor are communicatively connected, the memory stores computer instructions, and the processor executes the computer instructions to perform the silent control method of the electrical device according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the silent control method of the electrical device according to any one of claims 1 to 8.

12. A computer program product, characterized in that, Includes computer instructions for causing a computer to execute the silent control method for the electrical equipment according to any one of claims 1 to 8.

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