Appliance control method and device, appliance and storage medium

Abstract

The present disclosure provides an appliance control method and device, an appliance and a storage medium, wherein the method comprises: in response to determining that a target object exists in an environmental space of a target appliance, emitting a target ultra-wideband signal to the environmental space; detecting a breathing signal and a heartbeat signal of the target object according to an echo signal of the target ultra-wideband signal; and determining a target control parameter of the target appliance according to the breathing signal and the heartbeat signal, wherein the target control parameter is related to the noise size generated when the target appliance operates. By detecting the breathing signal and the heartbeat signal of the user in the environmental space of the target appliance, the control parameter of the target appliance is adjusted to achieve the purpose of noise reduction of the target appliance, improve the accuracy of noise reduction control of the appliance, reduce the influence of the noise of the appliance on the user, and improve the user experience of the appliance.

Description

Technical Field

[0001] This disclosure relates to the field of electrical equipment technology, and in particular to an electrical control method, device, electrical equipment and storage medium. Background Technology

[0002] In existing technologies, noise reduction methods for electrical appliances such as washing machines mainly involve adjusting the motor operating parameters based on preset times to reduce operating noise. However, this method is not intelligent enough and cannot achieve user-centric intelligent noise reduction control, resulting in a poor user experience. Summary of the Invention

[0003] In view of this, the present disclosure provides an electrical control method, apparatus, electrical equipment, and storage medium, which enables the electrical appliance to control the noise during operation based on human characteristics, thereby improving the user's experience of using the electrical appliance.

[0004] According to a first aspect of the present disclosure, an electrical appliance control method is provided, the method comprising:

[0005] In response to determining that a target object exists in the environmental space of the target appliance, a target ultra-wideband signal is transmitted into the environmental space, wherein the environmental space is the space within a preset range where the target appliance is located;

[0006] Based on the echo signal of the target ultra-wideband signal, the respiratory signal and heartbeat signal of the target object are detected;

[0007] Based on the respiratory signal and the heartbeat signal, the target control parameters of the target electrical appliance are determined, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation.

[0008] In one embodiment, the process of determining the existence of a target object within the environmental space includes:

[0009] Periodically transmit a first ultra-wideband signal at a preset frequency into the environmental space;

[0010] The echo signal of the first ultra-wideband signal is received, and the echo signal of the first ultra-wideband signal is analyzed to obtain the respiratory signal and heartbeat signal included in the echo signal of the first ultra-wideband signal.

[0011] In response to the respiratory signal satisfying a preset respiratory frequency range and the heartbeat signal satisfying a preset heartbeat frequency range, it is determined that the target object exists in the environmental space.

[0012] In one embodiment, detecting the respiratory and heartbeat signals of the target object based on the echo signal of the target ultra-wideband signal includes:

[0013] Extract the human body signal from the echo signal of the target ultra-wideband signal;

[0014] The human body signal is filtered to obtain the filtered human body signal;

[0015] The filtered human body signal is analyzed to obtain the respiratory signal and heartbeat signal of the target object.

[0016] In one embodiment, determining the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal includes:

[0017] Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal;

[0018] The target control parameters are determined based on the first adjustment amount and the rated control parameters of the target electrical appliance.

[0019] In one embodiment, determining the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal includes:

[0020] Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target electrical appliance is detected;

[0021] The target control parameters of the target electrical appliance are determined based on the wall thickness grade, the breathing signal, and the heartbeat signal.

[0022] In one embodiment, the target ultra-wideband signal includes multiple sub-signals of different frequencies. Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target electrical appliance is detected, including:

[0023] The propagation delay of each sub-signal is determined based on the transmission time of the sub-signal and the reception time of the echo signal received from the sub-signal.

[0024] Based on the propagation delay of each frequency sub-signal, the degree of dispersion of the propagation delay of the multiple sub-signals of different frequencies is determined;

[0025] Based on a pre-configured second correspondence, a wall thickness level corresponding to the degree of dispersion is determined, wherein the second correspondence represents the correspondence between the degree of dispersion and the wall thickness level, and the wall thickness level is used to represent the wall thickness between the target object and the target appliance.

[0026] In one embodiment, determining the degree of dispersion of the propagation delays of the plurality of sub-signals at different frequencies based on the propagation delay of each frequency sub-signal includes:

[0027] Calculate the average propagation delay of the multiple sub-signals of different frequencies;

[0028] The degree of dispersion is determined based on the average value and the propagation delay of the sub-signal at each frequency.

[0029] In one embodiment, the time interval between the target electrical appliance transmitting the plurality of sub-signals of different frequencies is positively correlated with the frequency of the sub-signals.

[0030] In one embodiment, determining the target control parameters of the target electrical appliance based on the wall thickness rating, the breathing signal, and the heartbeat signal includes:

[0031] Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal;

[0032] Based on a pre-configured third correspondence, a second adjustment amount corresponding to the wall thickness level is determined, wherein the third correspondence represents the correspondence between the second adjustment amount for adjusting the control parameters of the target electrical appliance and the wall thickness level;

[0033] The target control parameters are determined based on the first adjustment amount, the second adjustment amount, and the rated control parameters of the target electrical appliance.

[0034] In one embodiment, after determining the target control parameters of the target electrical appliance, the method further includes:

[0035] Based on the echo signal of the target ultra-wideband signal, the change in distance between the target object and the target electrical appliance is detected;

[0036] In response to the distance change being greater than a preset distance threshold, a change in the wall thickness level is detected;

[0037] Based on the changed wall thickness level, the breathing signal, and the heartbeat signal, the target control parameters of the target electrical appliance are updated.

[0038] In one embodiment, detecting the change in distance between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal includes:

[0039] The initial distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0040] Based on the echo signal intensity corresponding to the initial distance, the change in signal intensity of the echo signal of the target ultra-wideband signal is detected;

[0041] The distance change is determined based on the change in signal strength.

[0042] In one embodiment, determining the initial distance between the target object and the target appliance based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal includes:

[0043] The relative distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0044] Based on the respiratory signal and the heartbeat signal, the displacement of the chest cavity region of the target object is determined;

[0045] The initial distance is determined based on the relative distance and the displacement of the chest cavity region of the target object.

[0046] In one embodiment, before detecting the respiratory and heartbeat signals of the target object based on the echo signal of the target ultra-wideband signal, the method further includes:

[0047] Based on the echo signal of the target ultra-wideband signal, the attitude information of the target object is detected;

[0048] In response to the target object's posture information satisfying preset posture conditions, the target object's breathing signal and heartbeat signal are detected.

[0049] In one embodiment, the target electrical appliance includes at least two UWB antennas, and the step of detecting the attitude information of the target object based on the echo signal of the target ultra-wideband signal includes:

[0050] Based on the time information of the arrival time of the echo signal of the target ultra-wideband signal at the at least two UWB antennas, the time difference between the at least two UWB antennas in receiving the echo signal is determined;

[0051] Based on a pre-configured fourth correspondence, the attitude information of the target object is determined, wherein the fourth correspondence represents the correspondence between the time difference of receiving the echo signal between the at least two UWB antennas and the attitude information.

[0052] In one embodiment, the process of determining that the pose information of the target object satisfies a preset pose condition includes:

[0053] In response to the fact that the posture information of the target object within a preset time period is all preset posture information, it is determined that the posture information of the target object meets the preset posture conditions.

[0054] In one embodiment, the target appliance includes a washing machine, and the target control parameters include the maximum motor speed, the maximum motor acceleration, the maximum continuous rotation-to-stop ratio, and the water level.

[0055] According to a second aspect of the present disclosure, an electrical control device is provided, the device comprising:

[0056] The transmitting unit, in response to determining that a target object exists in the environmental space of the target electrical appliance, transmits a target ultra-wideband signal into the environmental space, wherein the environmental space is the space within a preset range where the target electrical appliance is located;

[0057] The first detection unit is used to detect the respiratory signal and heartbeat signal of the target object based on the echo signal of the target ultra-wideband signal;

[0058] The first determining unit is used to determine the target control parameters of the target electrical appliance based on the breathing signal and the heartbeat signal, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation.

[0059] In one embodiment, the apparatus further includes:

[0060] The transmitting unit is used to periodically transmit a first ultra-wideband signal of a preset frequency into the ambient space.

[0061] The parsing unit is used to receive the echo signal of the first ultra-wideband signal and parse the echo signal of the first ultra-wideband signal to obtain the respiratory signal and heartbeat signal included in the echo signal of the first ultra-wideband signal.

[0062] The second determining unit determines that the target object exists in the environmental space in response to the respiratory signal satisfying a preset respiratory frequency range and the heartbeat signal satisfying a preset heartbeat frequency range.

[0063] In one embodiment, the first detection unit is specifically used for:

[0064] Extract the human body signal from the echo signal of the target ultra-wideband signal;

[0065] The human body signal is filtered to obtain the filtered human body signal;

[0066] The filtered human body signal is analyzed to obtain the respiratory signal and heartbeat signal of the target object.

[0067] In one embodiment, the first determining unit is specifically used for:

[0068] Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal;

[0069] The target control parameters are determined based on the first adjustment amount and the rated control parameters of the target electrical appliance.

[0070] In one embodiment, the first determining unit is specifically used for:

[0071] Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target electrical appliance is detected;

[0072] The target control parameters of the target electrical appliance are determined based on the wall thickness grade, the breathing signal, and the heartbeat signal.

[0073] In one embodiment, the first determining unit is specifically used for:

[0074] The propagation delay of each sub-signal is determined based on the transmission time of the sub-signal and the reception time of the echo signal received from the sub-signal.

[0075] Based on the propagation delay of each frequency sub-signal, the degree of dispersion of the propagation delay of the multiple sub-signals of different frequencies is determined;

[0076] Based on a pre-configured second correspondence, a wall thickness level corresponding to the degree of dispersion is determined, wherein the second correspondence represents the correspondence between the degree of dispersion and the wall thickness level, and the wall thickness level is used to represent the wall thickness between the target object and the target appliance.

[0077] In one embodiment, the first determining unit is specifically used for:

[0078] Calculate the average propagation delay of the multiple sub-signals of different frequencies;

[0079] The degree of dispersion is determined based on the average value and the propagation delay of the sub-signal at each frequency.

[0080] In one embodiment, the time interval between the target electrical appliance transmitting the plurality of sub-signals of different frequencies is positively correlated with the frequency of the sub-signals.

[0081] In one embodiment, the first determining unit is specifically used for:

[0082] Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal;

[0083] Based on a pre-configured third correspondence, a second adjustment amount corresponding to the wall thickness level is determined, wherein the third correspondence represents the correspondence between the second adjustment amount for adjusting the control parameters of the target electrical appliance and the wall thickness level;

[0084] The target control parameters are determined based on the first adjustment amount, the second adjustment amount, and the rated control parameters of the target electrical appliance.

[0085] In one embodiment, the apparatus further includes:

[0086] The second detection unit is used to detect the change in distance between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal.

[0087] The third detection unit detects the change in wall thickness level in response to the distance change being greater than a preset distance threshold.

[0088] The update unit is used to update the current target control parameters of the target electrical appliance based on the changed wall thickness level, the breathing signal, and the heartbeat signal.

[0089] In one embodiment, the second detection unit is specifically used for:

[0090] The initial distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0091] Based on the echo signal intensity corresponding to the initial distance, the change in signal intensity of the echo signal of the target ultra-wideband signal is detected;

[0092] The distance change is determined based on the change in signal strength.

[0093] In one embodiment, the second detection unit is specifically used for:

[0094] The relative distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0095] Based on the respiratory signal and the heartbeat signal, the displacement of the chest cavity region of the target object is determined;

[0096] The initial distance is determined based on the relative distance and the displacement of the chest cavity region of the target object.

[0097] In one embodiment, the apparatus further includes:

[0098] The fourth detection unit is used to detect the attitude information of the target object based on the echo signal of the target ultra-wideband signal;

[0099] The fifth detection unit detects the breathing signal and heartbeat signal of the target object in response to the target object's posture information satisfying a preset posture condition.

[0100] In one embodiment, the fourth detection unit is specifically used for:

[0101] Based on the time information of the arrival time of the echo signal of the target ultra-wideband signal at the at least two UWB antennas, the time difference between the at least two UWB antennas in receiving the echo signal is determined;

[0102] Based on a pre-configured fourth correspondence, the attitude information of the target object is determined, wherein the fourth correspondence represents the correspondence between the time difference of receiving the echo signal between the at least two UWB antennas and the attitude information.

[0103] In one embodiment, the apparatus further includes:

[0104] The third determining unit determines that the target object's posture information satisfies the preset posture conditions in response to the fact that the target object's posture information within a preset time period is all preset posture information.

[0105] In one embodiment, the target appliance includes a washing machine, and the target control parameters include the maximum motor speed, the maximum motor acceleration, the maximum continuous start-stop ratio, and the water level.

[0106] According to a third aspect of the present disclosure, an electrical device is provided, comprising:

[0107] UWB antennas are used to transmit and receive ultra-wideband signals;

[0108] processor;

[0109] Memory used to store processor-executable instructions;

[0110] The processor performs steps to implement any of the methods described in the first aspect above.

[0111] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of any of the methods described in the first aspect above.

[0112] According to a fifth aspect of the present disclosure, a computer program product is provided that, when executed by a processor, implements the steps of any of the methods described in the first aspect above.

[0113] The technical solutions provided in this disclosure may have the following beneficial effects:

[0114] By detecting the user's breathing and heartbeat signals in the environment of the target appliance, the control parameters of the target appliance are adjusted to achieve noise reduction. This improves the accuracy of noise reduction control of electrical equipment, reduces the impact of noise from electrical equipment on users, and enhances the user's experience with the electrical equipment.

[0115] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0116] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0117] Figure 1 This is a flowchart illustrating an electrical control method according to an exemplary embodiment of the present disclosure;

[0118] Figure 2 This disclosure is a schematic diagram illustrating an ultra-wideband signal transmission according to an exemplary embodiment;

[0119] Figure 3 This disclosure is a schematic diagram of a pulse signal according to an exemplary embodiment;

[0120] Figure 4 This disclosure is a flowchart illustrating a process for detecting a target object according to an exemplary embodiment;

[0121] Figure 5 This disclosure is a flowchart illustrating the detection of respiratory and heartbeat signals according to an exemplary embodiment;

[0122] Figure 6(a) is a schematic diagram illustrating a respiratory signal according to an exemplary embodiment of the present disclosure;

[0123] Figure 6(b) is a schematic diagram illustrating a heartbeat signal according to an exemplary embodiment of the present disclosure;

[0124] Figure 7 This disclosure is a flowchart illustrating the determination of target control parameters according to an exemplary embodiment;

[0125] Figure 8 This disclosure is a flowchart illustrating the determination of target control parameters according to an exemplary embodiment;

[0126] Figure 9 This disclosure is a flowchart illustrating a method for detecting wall thickness grades according to an exemplary embodiment;

[0127] Figure 10 This disclosure is a flowchart illustrating, according to an exemplary embodiment, a method for determining the degree of discreteness of propagation delay;

[0128] Figure 11 This disclosure is a flowchart illustrating the determination of target control parameters according to an exemplary embodiment;

[0129] Figure 12 This disclosure is a flowchart illustrating an update of target control parameters according to an exemplary embodiment;

[0130] Figure 13 This disclosure is a flowchart illustrating a method for detecting a change in distance according to an exemplary embodiment;

[0131] Figure 14 This disclosure illustrates a graph showing the relationship between signal strength and distance according to an exemplary embodiment.

[0132] Figure 15 This disclosure is a flowchart illustrating a method for determining an initial distance according to an exemplary embodiment;

[0133] Figure 16 This disclosure is a flowchart illustrating an embodiment of detecting attitude information;

[0134] Figure 17 This is a schematic diagram illustrating a UWB antenna structure according to an exemplary embodiment of the present disclosure;

[0135] Figure 18 This disclosure is a schematic diagram illustrating a principle for detecting attitude information according to an exemplary embodiment;

[0136] Figure 19 This disclosure is a flowchart illustrating an embodiment of detecting attitude information;

[0137] Figure 20This is a block diagram of an electrical control device according to an exemplary embodiment of the present disclosure;

[0138] Figure 21 This is a schematic diagram of an electrical device structure according to an exemplary embodiment of the present disclosure. Detailed Implementation

[0139] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0140] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0141] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0142] Generally, electrical appliances generate some machine noise during operation. This noise can be disruptive when users are in the same space as the appliance, affecting their user experience. This problem is particularly prominent in the home appliance industry. Therefore, noise reduction measures are necessary to improve the user experience.

[0143] For example, taking a washing machine as an example, the basic principle of a washing machine is that the motor drives the washing drum to rotate to clean clothes. During the washing process, the rotation of the washing machine drum, the vibration of the motor, and the movement of water will all generate noise. Especially in the spin-drying mode, the noise generated by the washing machine is relatively high and can easily affect users.

[0144] Current methods for reducing noise in appliances generally involve setting a "quiet mode" for the appliance. Users can manually select to enable the "quiet mode." When the "quiet mode" is enabled, the appliance can reduce noise by sacrificing performance. For example, in quiet mode, a washing machine reduces the noise generated during operation by limiting the maximum motor speed and increasing the rotation-to-stop ratio, thus sacrificing some of the washing machine's cleaning ability. However, this method requires the user to actively select to enable the quiet mode, and the noise reduction algorithm is simplistic, resulting in poor appliance performance and noise reduction effect.

[0145] In related technologies, some electrical appliances can proactively choose whether to activate silent mode based on time. For example, they can automatically activate silent mode at preset times (evening, rest days, etc.) to reduce the impact of noise on users. However, noise is not directly related to time in essence. The time setting is based on the meaning given by the user, assuming that the user needs to rest at night, so noise reduction is implemented. But in reality, users may not rest at night or may not be in the same space as the appliance at night, which can lead to inaccurate noise reduction.

[0146] Furthermore, infrared detection technology can be used to detect the human body of users. When it is determined that a user and an appliance are in the same room, the appliance actively reduces noise to improve the user experience. However, infrared detection also has certain limitations, as infrared rays can only detect the human body of users within the same room and cannot penetrate walls to detect the human body of users in other rooms. For example, if a washing machine is installed on the balcony, and the user is resting in the living room, the washing machine cannot detect the user's human body through infrared, and therefore cannot perform noise reduction. However, since the living room is very close to the balcony, the user may perceive the washing machine noise as very loud.

[0147] Furthermore, narrowband 2.4GHz radio frequency technology (such as Bluetooth and WiFi) can be used to detect liveness, offering better wall-penetrating capabilities compared to infrared. However, 2.4GHz narrowband's wall-penetrating ability is generally limited; it can only detect the presence of live objects within a room, not the wall thickness, and cannot intelligently adjust the noise level of appliances based on wall thickness. For example, the perceived noise level will differ depending on whether the user is separated from the washing machine by one wall or three walls. If 2.4GHz detects a live object, it will control noise reduction, and the reduction intensity will be consistent, which can lead to inaccurate noise reduction.

[0148] In summary, current appliance noise reduction technologies have not yet adequately addressed the issue of achieving intelligent noise reduction in electrical appliances and improving user experience. Therefore, at least one embodiment of this disclosure provides an appliance control method aimed at improving the accuracy of noise reduction control of electrical equipment, reducing the impact of noise from electrical equipment on users, and enhancing the user experience of the electrical equipment.

[0149] Based on this, firstly, at least one embodiment of this disclosure provides an electrical appliance control method. This method can be applied to electrical equipment, and by having a processor in the electrical equipment run the method, intelligent noise reduction control of the electrical appliance can be achieved. (See also...) Figure 1 A flowchart illustrating an electrical appliance control method according to an exemplary embodiment may include the following steps:

[0150] S102. In response to determining that a target object exists in the environmental space of the target electrical appliance, a target ultra-wideband signal is transmitted to the environmental space, wherein the environmental space is the space within a preset range where the target electrical appliance is located.

[0151] In this embodiment of the disclosure, the target appliance refers to the appliance that performs the method of the embodiment of the disclosure. It can be any type of appliance suitable for implementation. For example, taking household appliances as an example, the target appliance may include washing machines, refrigerators, air conditioners, heaters, etc. These appliances will generate noise when they are running, so intelligent noise reduction control can be achieved through the method of the embodiment of the disclosure.

[0152] The ambient space refers to the space where the target appliance is located. The target object can be a living being such as a human or an animal. Therefore, with the target appliance as the noise source, all target objects within the ambient space will be affected by the noise. For example, if the target appliance is a washing machine, the home space where the washing machine is located is the ambient space described in this disclosure. Thus, when the washing machine is running, people or animals in the same home space as the washing machine will be affected by the noise from the washing machine.

[0153] In this embodiment of the disclosure, the target electrical appliance can detect target objects in the ambient space to determine whether a target object exists in the ambient space. It is understood that if no target object exists in the ambient space, it means that the noise from the current appliance's operation will not affect the target object, and therefore noise reduction control is unnecessary; the target appliance can simply maintain its default control parameters. Conversely, if a target object is detected in the ambient space, it means that the noise from the current appliance's operation may affect the target object, and therefore the noise reduction control method of this embodiment of the disclosure needs to be executed.

[0154] It should be noted that, in this embodiment of the disclosure, when a target object is detected in the ambient space, the operation of the target electrical appliance is not controlled based on a single noise reduction mode. Instead, it is necessary to further detect the liveness characteristics of the target object and adjust the control parameters of the target electrical appliance based on these liveness characteristics. Liveness characteristics may include, for example, breathing characteristics and heartbeat characteristics, which can reflect the activity state of the target object.

[0155] It's understandable that, taking the human body as an example, the sensitivity to noise varies depending on the human body's activity level. For instance, when the human body is in an excited state, such as during exercise or standing, it is generally not sensitive to noise and can tolerate a certain level of noise interference; however, when the human body is in a low-activity state, such as during sleep or reading, it is highly sensitive to noise and can only receive a very low level of noise.

[0156] Based on this, in this embodiment of the disclosure, when a target object is detected in the environmental space where the target electrical appliance is located, it is necessary to further detect the living characteristics of the target object, including breathing characteristics and heartbeat characteristics, and determine the target control parameters of the target electrical appliance based on these living characteristics, and then control the operating state of the target electrical appliance through the target control parameters.

[0157] In this embodiment, UWB (Ultra Wide Band) technology can be used to detect the heartbeat and breathing characteristics of a target object. Ultra Wide Band signals have significant bandwidth characteristics, making them applicable to wall penetration detection and distance detection. In one embodiment, a schematic diagram of ultra Wide Band signal transmission is shown below. Figure 2 As shown, the UWB radar transmits ultra-wideband signals to the target human body via a transmitting antenna and receives signals reflected from the user's body via a receiving antenna. The ultra-wideband signals involved in this disclosure are all continuous pulse signals, and the time-domain simulation diagram of a single pulse signal is shown below. Figure 3 As shown, according to Figure 3 As can be seen, the pulse width of UWB signals is extremely short, typically on the order of nanoseconds. This short pulse width gives UWB signals high resolution in the time domain, enabling accurate measurement of signal arrival time or propagation delay.

[0158] It should be noted that the size of the ambient space of the target appliance can be a preset range or adjusted according to the user's actual needs, so that the range of the UWB signal emitted by the target appliance can sufficiently cover the ambient space where the target appliance is located.

[0159] In this embodiment of the disclosure, the target electrical appliance may include an ultra-wideband (UWB) antenna module, thereby transmitting a target ultra-wideband signal via a UWB antenna.

[0160] S104. Based on the echo signal of the target ultra-wideband signal, detect the respiratory signal and heartbeat signal of the target object.

[0161] In this embodiment of the disclosure, the echo signal refers to the signal of the transmitted target ultra-wideband signal that returns to the UWB antenna after being reflected by an object. It can be understood that after the UWB antenna transmits the target ultra-wideband signal, the signal is reflected by space or the target object, and the reflected signal can be received by the UWB antenna; this reflected signal is the echo signal of the target ultra-wideband signal. Then, by extracting and filtering the echo signal, the respiratory and heartbeat signals of the target object are detected within the echo signal.

[0162] S106. Based on the respiratory signal and the heartbeat signal, determine the target control parameters of the target electrical appliance, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation.

[0163] In this embodiment of the disclosure, the target control parameter refers to the parameter used to control the operation of the target electrical appliance, and the target control parameter is related to the noise level generated by the target electrical appliance during operation. For example, taking a washing machine as an example, the noise of the washing machine during operation is mainly generated by the rotation of the motor, the rotation of the drum, and the flow of liquid. Therefore, the target control parameter may include the maximum motor speed, the maximum motor acceleration, the maximum continuous rotation-to-stop ratio, and the water level.

[0164] The maximum motor speed refers to the maximum speed at which the motor operates. Higher motor speeds produce more noise, so limiting the maximum speed controls noise levels. The maximum motor acceleration refers to the maximum angular acceleration during operation. Higher acceleration during rotation produces more noise, so limiting the maximum acceleration controls noise levels. The maximum continuous speed-to-stop ratio is the ratio of the time the motor is rotating to the time it is stopped. A higher ratio results in a longer period of noise generation, so limiting the maximum speed-to-stop ratio controls noise levels. The water level refers to the amount of water entering the drum during washing machine operation. Different water levels produce different levels of noise, so controlling the water level also controls noise levels.

[0165] Of course, those skilled in the art will understand that the target control parameters may include only one of the above-mentioned parameters, or a combination of multiple parameters. Furthermore, the target control parameters will differ for different types of target electrical appliances and are not limited to the examples described above. In summary, any target control parameter that can affect the noise level generated during the operation of the target electrical appliance is sufficient; this disclosure does not impose any limitations on this.

[0166] In this embodiment, the respiratory and heartbeat signals of the target object are determined based on the echo signal of the target ultra-wideband signal. As mentioned above, respiratory and heartbeat signals can reflect the current sensory arousal level of the target object. For example, based on respiratory and heartbeat signals, it can be determined whether the human body is currently asleep or in motion. Based on the sensory arousal level of the target object, the target electrical appliance can actively configure its own target control parameters to control the appliance's operating state, thereby controlling the noise level. For example, when it is determined that the user has entered a sleep state based on the user's respiratory and heartbeat signals, the target electrical appliance can select the corresponding target control parameters to reduce the noise of the target appliance, preventing the noise from affecting the user and improving the user experience.

[0167] By detecting the user's breathing and heartbeat signals in the target appliance's environment, the control parameters of the target appliance are adjusted to achieve noise reduction. While ensuring the appliance's operating efficiency, this improves the accuracy of noise control, reduces the impact of appliance noise on the user, and enhances the user's experience with the appliance.

[0168] In this embodiment of the disclosure, the process of determining the existence of a target object in the environmental space is referred to Figure 4 The flowchart shown may include the following steps:

[0169] S402. Periodically send a first ultra-wideband signal of a preset frequency into the environmental space.

[0170] S404. Receive the echo signal of the first ultra-wideband signal and analyze the echo signal of the first ultra-wideband signal to obtain the respiratory signal and heartbeat signal included in the first ultra-wideband signal.

[0171] S406. In response to the respiratory signal satisfying a preset respiratory frequency range and the heartbeat signal satisfying a preset heartbeat frequency range, it is determined that the target object exists in the environmental space.

[0172] In this embodiment of the disclosure, the first ultra-wideband signal refers to the fixed-frequency ultra-wideband signal emitted by the target electrical appliance for detecting whether a target object exists in the environmental space; the echo signal of the first ultra-wideband signal refers to the signal of the emitted first ultra-wideband signal returning to the UWB antenna after being reflected by an object; the preset breathing frequency range refers to the normal breathing frequency range of living organisms such as humans and animals; and the preset heartbeat frequency range refers to the normal heartbeat frequency range of living organisms such as humans and animals.

[0173] In this embodiment of the disclosure, when the target electrical appliance determines whether a target object exists in its ambient space, it first periodically transmits a first ultra-wideband signal at a preset frequency (e.g., 5.8 GHz) into the ambient space via its UWB antenna. Periodically transmitting the first ultra-wideband signal means that the target electrical appliance transmits a segment of the first ultra-wideband signal to the ambient space at regular intervals. The period for transmitting the first ultra-wideband signal can be determined based on the frequency of the first ultra-wideband signal to allow the target electrical appliance sufficient time to process the echo signal. For example, if the target electrical appliance continuously transmits the first ultra-wideband signal for 50 ms, and processing the echo signal requires 30 ms, then the target electrical appliance can transmit the first ultra-wideband signal into the ambient space with a period of 80 ms.

[0174] Then, the target electrical appliance can receive the echo signal of the first ultra-wideband signal through the UWB antenna, and analyze the echo signal of the first ultra-wideband signal through filtering, demodulation and other techniques to obtain the breathing signal and heartbeat signal in it.

[0175] Finally, it is determined whether the respiratory frequency in the obtained respiratory signal meets the preset respiratory frequency range (e.g., 0.2-0.5Hz) and whether the heart rate in the heart rate signal meets the preset heart rate range (e.g., 0.9-1.6Hz). If the respiratory frequency meets the preset respiratory frequency range and the heart rate also meets the preset heart rate range, then it can be determined that there is a target object in the environmental space.

[0176] It should be noted that if no human body is detected in the environment of the target electrical appliance by the first ultra-wideband signal, the target electrical appliance can operate according to its rated maximum parameters without considering noise reduction.

[0177] Furthermore, detecting the presence of a human body within the environment of an appliance is not limited to sending a first ultra-wideband signal; various other technologies can be employed. For example, a camera can be installed on the appliance to capture images of the surrounding space, and computer vision algorithms can be used to detect human figures within those images. This method can determine the presence of someone by detecting their shape, movement, or specific features (such as their face). Alternatively, sound sensors can detect sounds emitted by the human body, such as footsteps or other auditory signals. When someone moves or makes a sound within the target appliance's environment, the sensor can detect the human signal, thus determining the presence of a human body. Other technologies, such as infrared and ultrasonic sensors, can also be used to detect human bodies, which will not be elaborated upon here.

[0178] However, because sound signals, infrared signals, and ultrasonic signals have poor or no wall-penetrating ability, the above detection methods are limited to the same room where the target appliance is located and cannot detect the presence of a user in other rooms within the ambient space. In contrast, UWB signals have significant broadband characteristics and excellent wall-penetrating ability. Therefore, the preferred method in this solution for detecting the presence of a target object in the ambient space of the target appliance is to transmit a first ultra-wideband signal into the ambient space to monitor the user's heartbeat and respiratory signals, thereby determining whether a user is present in the ambient space.

[0179] Before the target appliance starts adjusting its control parameters based on heartbeat and breathing signals, the presence of a human body in its environment is detected. If no human body is present, the appliance's operating parameters do not need to be adjusted, thus saving the appliance's operating resources.

[0180] In this embodiment of the disclosure, the process of detecting the respiratory and heartbeat signals of the target object based on the echo signal of the target ultra-wideband signal refers to... Figure 5 The flowchart shown may include the following steps:

[0181] S502. Extract the human body signal from the echo signal of the target ultra-wideband signal.

[0182] S504. The human body signal is filtered to obtain the filtered human body signal.

[0183] S506. The filtered human body signal is analyzed to obtain the respiratory signal and heartbeat signal of the target object.

[0184] In this embodiment of the disclosure, human body signal refers to information such as the breathing, heartbeat, or movement status of a living being, such as a human or animal, carried in the echo signal. Because when the target ultra-wideband signal reaches a living being, such as a human or animal, these living beings will affect the echo signal of the ultra-wideband signal, thus causing the echo signal to carry human body signal.

[0185] In this embodiment of the disclosure, when analyzing the echo signal of the target ultra-wideband signal, the human body signal in the echo signal can be extracted first. Specifically, it can be determined based on the range Doppler image of the echo signal. The approximate position of the human body in the environmental space can be determined based on the range Doppler image, thereby extracting the human body signal at that position to obtain the human body signal.

[0186] Then, the extracted human body signals are filtered, for example, by smoothing filtering or bandpass filtering. Specific filtering methods can be implemented using software or hardware. Finally, the filtered signals are analyzed, for example, by performing a Fourier transform on the filtered human body signals to obtain their time-frequency characteristics, thereby obtaining the target object's respiratory and heartbeat signals. The respiratory signal is shown in Figure 6(a), and the heartbeat signal is shown in Figure 6(b).

[0187] By analyzing the echo signal in the target ultrawide signal, the respiratory and heartbeat signals of the target object can be obtained, thereby accurately determining the sensory excitability of the target object and improving the accuracy of subsequent adjustments to the target electrical control parameters.

[0188] In this embodiment of the disclosure, the process of determining the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal is referred to... Figure 7 The flowchart shown may include the following steps:

[0189] S702. Based on a pre-configured first correspondence, determine a first adjustment amount corresponding to the breathing signal and the heartbeat signal, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the breathing signal and the heartbeat signal.

[0190] S704. Determine the target control parameters based on the first adjustment amount and the rated control parameters of the target electrical appliance.

[0191] In this embodiment of the disclosure, the first correspondence refers to the pre-set correspondence between the control parameter adjustment amount and the heartbeat and breathing signals according to the model of the target electrical appliance, so as to adjust the control parameters of the target electrical appliance according to different breathing and heartbeats. The rated control parameters of the electrical appliance refer to the parameters that control the electrical appliance to work normally under the default state.

[0192] In this embodiment of the disclosure, the first adjustment amount is determined by querying the parameter table of the first adjustment amount shown in Table 1, based on the first correspondence between the first adjustment amount of the control parameters of the pre-configured target electrical appliance and the respiratory signal and heartbeat signal.

[0193] Table 1

[0194] <![CDATA[C0~C1]]> <![CDATA[D0~D1]]> Adjustment amount 1 <![CDATA[C1~C2]]> <![CDATA[D1~D2]]> Adjustment amount 2 <![CDATA[C2~C3]]> <![CDATA[D2~D3]]> Adjustment amount 3 …… …… ……

[0195] For example, in the example in Table 1, if the detected respiratory signal frequency is between C1 and C2 and the heartbeat signal frequency is between D1 and D2, then the corresponding first adjustment amount can be determined as "adjustment amount 2" through Table 1.

[0196] After determining the first adjustment amount, the target control parameter can be obtained by subtracting the first adjustment amount from the rated control parameter of the target electrical appliance.

[0197] It should be noted that the target control parameter is the rated control parameter minus the first adjustment amount. Lower respiratory and heart rates indicate lower sensory arousal in the target object, meaning a lower sensitivity to electrical noise. In other words, based on the rated control parameters of the target appliance, lower respiratory and heart rates require a larger first adjustment amount, resulting in a greater reduction in the rated control parameters and thus lower noise levels from the target appliance.

[0198] By adjusting the control parameters of the target electrical appliance based on the breathing and heartbeat signals of the target object, the noise of the target electrical appliance can change with the user's breathing and heartbeat frequencies. This allows the appliance to actively reduce operating noise when the user is sensitive to noise, thereby improving the user experience.

[0199] In this embodiment of the disclosure, the process of determining the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal is referred to... Figure 8 The flowchart shown may include the following steps:

[0200] S802. Based on the echo signal of the target ultra-wideband signal, detect the wall thickness level between the target object and the target electrical appliance.

[0201] S804. Determine the target control parameters of the target electrical appliance based on the wall thickness grade, the breathing signal, and the heartbeat signal.

[0202] In this embodiment of the disclosure, the wall thickness grade is used to indicate the wall thickness between the target object and the target appliance. Specifically, it can be the wall thickness of one wall or the combined wall thickness of multiple walls.

[0203] In this embodiment of the disclosure, in addition to respiratory and heartbeat signals, the wall thickness level between the target object and the target electrical appliance can also be detected based on the echo signal of the target ultra-wideband signal. Because in an indoor environment, the main factor affecting the user's perception of electrical noise is the wall, and walls can effectively insulate against electrical noise, the thicker the wall, the stronger its ability to insulate against electrical noise, and the less impact the electrical noise has on the user.

[0204] After determining the wall thickness level between the target object and the target electrical appliance, the rated control parameters of the target electrical appliance can be adjusted by combining the breathing signal, heartbeat signal of the target object and the wall thickness level, thus determining the final target control parameters.

[0205] In addition to respiratory and heartbeat signals, the detection of wall thickness level is added to improve the detection of the impact of electrical appliance noise on users. Based on respiratory, heartbeat, and wall thickness levels, intelligent noise reduction is applied to target electrical appliances, which can improve the accuracy of controlling the noise level of electrical appliances, thereby improving the user's experience of using electrical appliances.

[0206] In this embodiment of the disclosure, the target ultra-wideband signal includes multiple sub-signals of different frequencies. The process of detecting the wall thickness level between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal is as follows: Figure 9 The flowchart shown may include the following steps:

[0207] S902. Determine the propagation delay of each sub-signal based on the transmission time of the sub-signal and the reception time of the echo signal received from the sub-signal.

[0208] S904. Based on the propagation delay of each frequency sub-signal, determine the degree of dispersion of the propagation delay of the plurality of sub-signals of different frequencies.

[0209] S906. Based on a pre-configured second correspondence, determine the wall thickness level corresponding to the degree of dispersion, wherein the second correspondence represents the correspondence between the degree of dispersion and the wall thickness level, and the wall thickness level is used to represent the wall thickness between the target object and the target appliance.

[0210] In this embodiment of the disclosure, a sub-signal refers to an ultra-wideband signal at a certain frequency within the target ultra-wideband signal. The transmission time of the sub-signal is the time it takes for the target appliance to transmit the sub-signal to its ambient space via a UWB antenna, and the reception time is the time it takes for the target appliance to receive the echo signal of the sub-signal via the UWB antenna. The propagation delay is the time difference between the reception time and the transmission time.

[0211] In this embodiment of the disclosure, the propagation delay of the ultra-wideband signal is related to the propagation distance and the propagation range, and the specific relationship is shown in formula (1):

[0212]

[0213] Where, τ v d(t) represents the propagation delay of a sub-signal, d(t) represents the propagation distance of the sub-signal, which is the distance between the target object and the target electrical appliance, C is the speed of electromagnetic wave propagation in a vacuum, and k is the effect of electromagnetic wave propagation caused by absorption and loss by the wall.

[0214] Because sub-signals of different frequencies experience different losses when absorbed by a wall, their propagation delays back to the target appliance also differ after passing through the wall. Based on this principle, the wall thickness between the target object and the target appliance can be measured according to the difference in propagation delays between sub-signals of different frequencies. The specific method is as follows:

[0215] After the target electrical appliance transmits multiple sub-signals of different frequencies into the ambient space, the echo signal of each sub-signal is received. The propagation delay of each sub-signal is determined based on the transmission time and the reception time of its echo. For example, if the target ultra-wideband signal includes four sub-signals of different frequencies, f0, f1, f2, and f3, and the target electrical appliance transmits the sub-signal at frequency f0 at time t0 and receives it at time t1, then the propagation delay of this sub-signal is t = t1 - t0.

[0216] After determining the propagation delay of each sub-signal, the dispersion of the propagation delays of multiple sub-signals is determined based on the magnitude of the propagation delays of multiple sub-signals at different frequencies. Finally, according to the preset correspondence between the dispersion and wall thickness grades, the wall thickness grade table is consulted to determine the wall thickness between target objects. The wall thickness grade table can be shown in Table 2.

[0217] Table 2

[0218] <![CDATA[E0~E1]]> Level 1 <![CDATA[E1~E2]]> Level 2 <![CDATA[E2~E3]]> Level 3 …… ……

[0219] For example, in the example in Table 2, if the detected dispersion is between E0 and E1, then the corresponding wall thickness level can be determined as "Level 1" using Table 2.

[0220] Based on the wall-penetrating characteristics and high resolution of UWB signals, target appliances can perform wall-penetrating detection of the user's body and accurately detect the wall thickness between the target appliance and the user, thereby improving the accuracy of noise reduction for the target appliance.

[0221] In this embodiment of the disclosure, the process of determining the degree of dispersion of the propagation delays of the plurality of sub-signals of different frequencies based on the propagation delay of each frequency sub-signal refers to... Figure 10 The flowchart shown may include the following steps:

[0222] S1002. Calculate the average propagation delay of the multiple sub-signals of different frequencies.

[0223] S1004. Determine the degree of dispersion based on the average value and the propagation delay of the sub-signal at each frequency.

[0224] In this embodiment of the disclosure, when determining the dispersion of the propagation delay of multiple sub-signals of different frequencies, it is necessary to first calculate the average value of the multiple propagation delays, and then determine the dispersion based on the difference between each propagation delay and the average value. In one embodiment, the dispersion can be estimated using the variance between the multiple propagation delays, specifically calculated using the method shown in formula (2):

[0225]

[0226] Among them, W_T 2 Let N represent the variance between multiple propagation delays, and let τ represent the number of sub-signals. i Let be the propagation delay of the i-th sub-signal. This represents the average propagation delay of multiple sub-signals.

[0227] By evaluating the dispersion between the propagation delays of multiple sub-signals of different frequencies, and determining the wall thickness level between the user and the target appliance based on the dispersion, the accuracy of wall thickness level detection is improved.

[0228] In this embodiment of the disclosure, the time interval between the target electrical appliance sending the plurality of sub-signals of different frequencies is positively correlated with the frequency of the sub-signals.

[0229] When a target electrical appliance transmits multiple sub-signals of different frequencies into the ambient space, the time interval between each sub-signal is related to the time required for the target electrical appliance to process the echo signals of the sub-signals. For example, if the target electrical appliance transmits four sub-signals to the ambient space at frequencies f0, f1, f2, and f3, where f0 is 2.4 GHz, f1 is 5.8 GHz, f2 is 10.525 GHz, and f3 is 24 GHz, and the duration of the pulse signal transmission for each frequency sub-signal is 60 ms, then the interval between two adjacent pulses is T0 when transmitting a 2.4 GHz pulse signal, T1 when transmitting a 5.8 GHz pulse signal, T2 when transmitting a 10.525 GHz pulse signal, and T3 when transmitting a 24 GHz pulse signal. T0, T1, T2, and T3 can gradually increase in size because a larger interval provides more time for the target electrical appliance to process the echo signals.

[0230] In this embodiment of the disclosure, the process of determining the target control parameters of the target electrical appliance based on the wall thickness grade, the breathing signal, and the heartbeat signal is as follows: Figure 11 The flowchart shown may include the following steps:

[0231] S1102. Based on a pre-configured first correspondence, determine a first adjustment amount corresponding to the breathing signal and the heartbeat signal, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the breathing signal and the heartbeat signal.

[0232] S1104. Based on a pre-configured third correspondence, determine a second adjustment amount corresponding to the wall thickness level, wherein the third correspondence represents the correspondence between the second adjustment amount for adjusting the control parameters of the target electrical appliance and the wall thickness level.

[0233] S1106. Determine the target control parameters based on the first adjustment amount, the second adjustment amount, and the rated control parameters of the target electrical appliance.

[0234] After detecting the heartbeat and breathing signals of the target object and the wall thickness level between the target object and the target appliance, the first adjustment amount is determined by querying the parameter table of the first adjustment amount shown in Table 1, based on the first correspondence between the first adjustment amount of the pre-configured control parameters of the target appliance and the breathing and heartbeat signals.

[0235] Then, based on the pre-configured correspondence between the second adjustment amount and the wall thickness level, the influence of the wall thickness level on electrical noise is determined, and by consulting the parameter table of the second adjustment amount shown in Table 3, the additive adjustment amount (i.e. the second adjustment amount mentioned above) for the rated control parameters of the target electrical appliance is determined.

[0236] Table 3

[0237] <![CDATA[G0~G1]]> Adjustment amount a <![CDATA[G1~G2]]> Adjustment amount b <![CDATA[G2~G3]]> Adjustment amount c …… ……

[0238] For example, in the example in Table 3, if the wall thickness level is detected to be between G2 and G3, then the corresponding second adjustment amount can be determined as "adjustment amount c" through Table 3.

[0239] Finally, by subtracting the first adjustment amount and adding the second adjustment amount from the rated control parameters of the target electrical appliance, the final target control parameters can be determined. It should be noted that because the wall has a noise-insulating function, the second adjustment amount is positively correlated with the wall thickness; the thicker the wall, the stronger the noise insulation capability, and thus the more efficiently the target electrical appliance can be controlled.

[0240] Based on the user's breathing and heartbeat signals and the wall thickness between the user and the appliance, the impact of appliance noise on the user can be accurately assessed. According to the impact level, the appliance's operating mode can be intelligently adjusted. When the impact of appliance noise on the user is high, the noise level can be reduced to improve the user experience.

[0241] In this embodiment of the disclosure, after determining the target control parameters of the target electrical appliance, the target control parameters can be updated, and the update process refers to... Figure 12 The flowchart shown may include the following steps:

[0242] S1202. Based on the echo signal of the target ultra-wideband signal, detect the change in distance between the target object and the target electrical appliance.

[0243] S1204. In response to the distance change being greater than a preset distance threshold, the change in the wall thickness level is detected.

[0244] S1206. Based on the changed wall thickness level, the breathing signal, and the heartbeat signal, update the current target control parameters of the target electrical appliance.

[0245] In this embodiment of the disclosure, the distance change refers to the change in the distance between the target object and the target electrical appliance relative to the rated distance. The rated distance refers to the distance between the target object and the target electrical appliance when the target control parameters of the target electrical appliance are determined.

[0246] In this embodiment, the target object moves within the environmental space of the target appliance, for example, from one room to another. Therefore, the wall thickness between the target object and the target appliance may change after the target object moves. For instance, if the target object moves to the room where the target appliance is located, there will be no wall between them; or if the target object moves to a room farther away from the target appliance, the wall thickness between them will increase. However, considering the processing resources and power consumption of the target appliance, real-time detection of the wall thickness would be wasteful. Therefore, the distance between the target object and the target appliance is detected to determine whether the wall thickness between them might change. The specific process is as follows:

[0247] First, the change in distance between the target object and the target appliance is detected based on the changes in the echo signal of the target ultra-wideband signal. It should be noted that when detecting the change in distance between the target object and the target appliance, detection can be based on the change of one sub-signal of the target ultra-wideband signal, or it can be based on multiple sub-signals.

[0248] Then, it is determined whether the change in distance between the target object and the target appliance is greater than a preset distance threshold (e.g., 5 meters). If the change in distance is greater than the preset distance threshold, it indicates that the wall thickness between the target object and the target appliance may have changed. In this case, it is necessary to re-detect the wall thickness between the target object and the target appliance based on the echo signal of the target ultra-wideband signal. Based on the wall thickness after the change and the heartbeat and breathing signals of the target object, the current target control parameters of the target appliance are determined by looking up the table and the target control parameters are updated.

[0249] Because changes in the distance between the target object and the target electrical appliance will also cause changes in the perceived noise level, the greater the distance, the less noise the target object perceives; the closer the distance, the greater the noise the target object perceives. Therefore, in some embodiments, the target control parameters of the target electrical appliance can be updated based on the distance between the target object and the target electrical appliance. For example, when the target object is close to the target electrical appliance (e.g., within 2 meters), the target control parameters are decreased to make the target electrical appliance operate at a lower speed, thereby reducing electrical noise. Alternatively, when the target object is far from the target electrical appliance (e.g., more than 10 meters), the target control parameters are increased to improve the operating efficiency of the electrical appliance.

[0250] In summary, by detecting the distance between the user and the appliance in real time, the noise reduction accuracy of the target appliance can be improved.

[0251] In this embodiment of the disclosure, the process of detecting the change in distance between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal refers to... Figure 13 The flowchart shown may include the following steps:

[0252] S1302. Determine the initial distance between the target object and the target appliance based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0253] S1304. Based on the echo signal intensity corresponding to the initial distance, detect the change in signal intensity of the echo signal of the target ultra-wideband signal.

[0254] S1306. Determine the distance change based on the signal strength change.

[0255] In this embodiment of the disclosure, the initial distance refers to the distance between the target electrical appliance and the chest region of the target object. The echo signal intensity corresponding to the initial distance refers to the intensity of the echo signal received by the target electrical appliance when the distance between the target object and the target electrical appliance is the initial distance. The signal intensity change refers to the change in the intensity of the echo signal received by the target electrical appliance as the target object moves.

[0256] In this embodiment of the disclosure, when detecting distance changes, the initial distance between the target object and the target appliance is first calculated based on the time interval between the emission and reception of the target ultra-wideband signal and the propagation speed of the target ultra-wideband signal. Then, the change in echo signal intensity is detected based on the intensity of the echo signal corresponding to the initial distance. In some embodiments, the correspondence between echo signal intensity and distance is as follows: Figure 14 As shown, according to Figure 14 It can be seen that the greater the change in the intensity of the echo signal, the greater the change in distance, and therefore the greater the change in distance. Finally, based on the RSSI (Received Signal Strength Indication) ranging principle, the change in distance to the target object is determined according to the change in the intensity of the echo signal. The relationship between the change in distance and the change in intensity is shown in formula (3):

[0257] PR=A-10*n*lgr (3)

[0258] Where PR represents the power of the echo signal received by the target electrical appliance, A is the RSSI value corresponding to the initial distance, n is the propagation factor, and r represents the distance between the target object and the target electrical appliance.

[0259] In the above formula, PR is the preset power of the target electrical appliance to transmit and receive echo signals, and n is the loss of electromagnetic waves propagating in the medium, which is generally between 2 and 4.

[0260] The distance between users' electrical appliances is detected based on the strength of the echo signal, and the wall thickness level is re-detected when the distance changes significantly. This avoids the waste of electrical appliance resources caused by real-time detection of wall thickness level, improves the operating efficiency of electrical appliances, and saves power consumption.

[0261] In this embodiment of the disclosure, the process of determining the initial distance between the target object and the target appliance based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal refers to... Figure 15 The flowchart shown may include the following steps:

[0262] S1502. Determine the relative distance between the target object and the target appliance based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0263] S1504. Based on the respiratory signal and the heartbeat signal, determine the displacement of the chest cavity region of the target object.

[0264] S1506. Determine the initial distance based on the relative distance and the displacement of the chest cavity region of the target object.

[0265] In this embodiment of the disclosure, relative distance refers to the distance between the target object as a whole and the target electrical appliance, and displacement of the chest cavity region refers to the minute displacement of the chest cavity region caused by the breathing and heartbeat of the target object.

[0266] To improve the accuracy of detecting the distance between the target object and the target appliance, and the accuracy of detecting wall thickness, the distance between the target appliance and the target object can be measured down to the chest cavity area of ​​the target object. The specific detection method is as follows:

[0267] First, based on the time length between the target appliance transmitting the target ultra-wideband signal and the echo signal receiving the target ultra-wideband signal, and the propagation speed of the ultra-wideband signal, the relative distance d0 between the target object and the target appliance is determined, as shown in formula (4):

[0268]

[0269] Where τ is the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal, and C is the speed of electromagnetic wave propagation in vacuum.

[0270] Then, based on the respiratory rate and respiratory amplitude in the respiratory signal, and the heart rate and heart amplitude in the heartbeat signal, the displacement of the target object's chest cavity region is determined, as shown in formula (5):

[0271] d1=A r sin(2πf r t)+A h sin(2πf h t)

[0272] Among them, A r Indicates the amplitude of breathing, f r Indicates respiratory rate, A h f represents the amplitude of the heartbeat. h This indicates heart rate.

[0273] By summing the relative distance d0 and the displacement d1 of the thoracic region, the initial distance between the final target object and the target electrical appliance can be obtained.

[0274] By pinpointing the distance between the user and the appliance to the chest cavity level, the accuracy of distance detection between the user and the appliance can be improved.

[0275] In this embodiment of the disclosure, before detecting the respiratory and heartbeat signals of the target object based on the echo signal of the target ultra-wideband signal, the attitude information of the target object can also be detected. The specific process is described in [reference needed]. Figure 16 The flowchart shown may include the following steps:

[0276] S1602. Detect the attitude information of the target object based on the echo signal of the target ultra-wideband signal.

[0277] S1604. In response to the target object's posture information satisfying a preset posture condition, detect the target object's breathing signal and heartbeat signal.

[0278] In this embodiment of the disclosure, posture information refers to the posture information of the target object's body, such as whether the target object is lying down, standing, or sitting. The preset posture conditions refer to the posture information of the target object when noise reduction is required for the target electrical appliance.

[0279] Before the target appliance determines the target control parameters based on the target object's breathing and heartbeat signals, the target appliance's operating mode can be selected by the user to determine whether intelligent noise reduction is needed. The start conditions for intelligent noise reduction mode can also be set according to time. For example, between 12:00 am and 7:00 am, the washing machine will automatically turn on intelligent noise reduction. Alternatively, the washing machine can detect the user's posture information to determine whether to turn on intelligent noise reduction mode. For example, when it detects that the user is lying down, it will automatically turn on intelligent noise reduction mode.

[0280] The following will explain how to determine whether to enable the intelligent noise reduction mode based on posture information.

[0281] First, the posture information of the target human body is detected based on the echo signal of the target ultra-wideband signal received by the target electrical appliance. The principle of posture information detection is as follows: Figure 17 The target electrical appliance shown includes at least two UWB antennas, namely the first antenna 1701 and the second antenna 1702, and the two UWB antennas are installed as follows: Figure 17 The vertical arrangement shown, one above the other, is intended to ensure a certain time difference between the arrival of the echo signal from the target's chest cavity region at these two antennas. The transmission principle diagram of the echo signal is as follows: Figure 18 As shown, according to Figure 18It can be seen that when the target is standing, the angle between its chest region and the UWB antenna is relatively large, and the time difference between the echo signal arriving at the two UWB antennas is also relatively large. When the target is lying down, the angle between its chest region and the UWB antenna is relatively small, and the time difference between the echo signal arriving at the two UWB antennas is also relatively small. Different angles between the chest region and the UWB antenna result in different time differences between the echo signal arriving at the two UWB antennas. Therefore, the attitude information of the target can be detected based on the time difference between the echo signal arriving at the two UWB antennas.

[0282] Then, it is determined whether the target object's posture information meets the preset posture conditions (e.g., lying down posture). If the target object meets the preset posture conditions, it means that the target object may need to rest and is more sensitive to the noise of the target appliance. At this time, the target appliance needs to activate the intelligent noise reduction model to reduce noise by adjusting the control parameters.

[0283] Based on the user's posture information, the appliance actively activates the noise reduction mode when the user's appliance is in noise reduction mode, avoiding the appliance from activating the noise reduction mode at unnecessary times and affecting the appliance's working efficiency, thus improving the automation level of the appliance.

[0284] In this embodiment of the disclosure, the target electrical appliance includes at least two UWB antennas, and the process of detecting the attitude information of the target object based on the echo signal of the target ultra-wideband signal refers to... Figure 19 The flowchart shown may include the following steps:

[0285] S1902. Based on the time information of the arrival time of the echo signal of the target ultra-wideband signal at the at least two UWB antennas, determine the time difference between the at least two UWB antennas in receiving the echo signal.

[0286] S1904. Based on a pre-configured fourth correspondence, determine the attitude information of the target object, wherein the fourth correspondence represents the correspondence between the time difference of receiving the echo signal between the at least two UWB antennas and the attitude information.

[0287] In this embodiment of the disclosure, based on the principle of detecting the attitude information of the target object, at least two UWB antennas need to be configured for the target electrical appliance so that the target electrical appliance can detect the attitude information of the target object based on the echo signal of the target ultra-wideband signal.

[0288] The process of detecting the attitude information of the target object by the target electrical appliance will be explained below.

[0289] First, based on the time it takes for each UWB antenna in the target appliance to receive the echo signal of the target ultra-wideband signal, determine the time difference between the received echo signals of at least two UWB antennas. Then, according to the pre-configured fourth correspondence between time difference and attitude information, query the attitude information table to determine the attitude information of the target object. The attitude information table can be shown in Table 4.

[0290] Table 4

[0291] <![CDATA[H0~H1]]> Lying position <![CDATA[H2~H3]]> Standing posture …… ……

[0292] For example, in the example in Table 4, if the time difference between the received echo signals between the two antennas is detected to be between H0 and H1, then the attitude information of the corresponding target object can be determined as "lying down" through Table 4.

[0293] Based on the time difference between the received echo signals between at least two UWB antennas, the user's attitude information is determined, realizing intelligent detection of the user's attitude and improving the intelligence and accuracy of noise reduction in control appliances.

[0294] In this embodiment of the disclosure, the process of determining that the posture information of the target object satisfies the preset posture conditions includes:

[0295] In response to the fact that the posture information of the target object within a preset time period is all preset posture information, it is determined that the posture information of the target object meets the preset posture conditions.

[0296] When determining whether the target object's posture information meets preset conditions, the posture information can be continuously monitored for a preset duration (e.g., 5 minutes). This is because if the user temporarily squats or lies prone, the angle between the target object's chest area and at least two UWB antennas will change, causing the target appliance to misjudge the target object's posture information. Since judging the target object's posture information is to determine whether the target object may have entered a noise-sensitive state such as resting or working, requiring the target appliance to activate intelligent noise reduction mode, continuous monitoring of the target object's posture information over a period of time can confirm whether the target object has truly entered a noise-sensitive state such as resting or working, improving the accuracy of user posture information judgment.

[0297] In this embodiment of the disclosure, the target appliance includes a washing machine, and the target control parameters include the maximum motor speed, the maximum motor acceleration, the maximum continuous rotation-to-stop ratio, and the water level.

[0298] The target appliance can be a washing machine, and the corresponding target control parameters can include the washing machine's maximum motor speed, maximum motor acceleration, maximum continuous spin-to-stop ratio, and water level. It's important to note that the maximum continuous spin-to-stop ratio refers to the ratio between the washing machine's maximum spin speed and the time spent stationary during the entire washing cycle. In other words, it represents the proportion of the time the washing machine spends spinning at high speed to the time it is stopped or stationary throughout the entire washing cycle. For example, if the maximum spin-to-stop ratio is 50%, it means that the washing machine spins at high speed for half of the total washing cycle, while the other half is spent stationary or stationary.

[0299] By controlling the target control parameters of the washing machine, the washing machine can balance washing efficiency with intelligent control of noise levels, thereby improving the user experience.

[0300] Taking a washing machine as an example, the control method for the appliance will be further explained below.

[0301] The washing machine that performs the aforementioned electrical control method includes at least the following components: a UWB module, a main control module (MCU), a frequency converter module, a motor, and a drum.

[0302] After the washing machine starts operating, the user selects whether to activate the "intelligent noise reduction mode." If the user selects to activate intelligent noise reduction mode, under the control of the washing machine's main control module, the UWB module will transmit a UWB signal at a fixed frequency (f) to the ambient space where the washing machine is located via an antenna. The echo signal from this fixed-frequency signal is then received by the UWB module's two antennas and transmitted to the washing machine's main control module as an analog / digital data stream. The main control module analyzes the echo signal to determine whether it contains human breathing and heartbeat signals. Specifically, it checks whether the breathing frequency and heartbeat frequency are within a preset range.

[0303] If detection determines that there is no human body in the environment where the washing machine is located, then the maximum permissible speed V of the washing machine's motor is... MAX Maximum acceleration A MAX Maximum continuous stop-start ratio T MAX and water level WL MAX All values ​​are default. If a user is present around the washing machine, the UWB module sequentially sends multiple ultra-wideband signals of different frequencies to the environment. Based on the time difference between each ultra-wideband signal received by the two antennas of the UWB module, the user's posture is determined, and it is determined whether the user's posture is lying down, sitting, or other similar postures, in order to determine whether to start controlling the operating parameters of the washing machine.

[0304] In addition, preset times (e.g., evening, rest days, etc.) can be used to determine whether to control the operating parameters of the washing machine.

[0305] When it is necessary to control the operating parameters of the washing machine, the main control module of the washing machine will determine the propagation delays τ0, τ1, τ2...τ of the echo signals of multiple ultra-wideband signals of different frequencies received by the UWB module. n The criteria for determining the wall thickness grade are based on calculating the M values ​​of τ0, τ1, τ2...τ collected by the washing machine. n The variance between the two is used to obtain variance data for the wall thickness level. By using the pre-built "wall thickness level table" for the corresponding model, the wall thickness level in the room where the washing machine is located and the room of the target living person can be derived.

[0306] At this point, the washing machine's main control module can adjust the washing machine's operating parameters based on data such as breathing rate, heart rate, and wall thickness. Specifically:

[0307] Based on the preset "heart rate and respiratory rate-excitement level table", a set of washing machine parameter adjustments can be obtained that match the level of human sensory excitement, including the optimal maximum motor speed - V1, maximum acceleration - A1, continuous maximum spin-stop ratio - T1, and water level - WL1.

[0308] Based on the wall thickness level, a set of bonuses for wall sound blocking can be obtained: maximum motor speed +V2, maximum acceleration +A2, continuous maximum rev-stop ratio +T2, and water level +WL2.

[0309] Therefore, the final operating parameters of the washing machine can be obtained as the maximum speed V. MAX -V1+V2, maximum acceleration A MAX -A1+A2. Continuous maximum stop-start ratio T MAX -T1+T2, and water level WL MAX -WL1+WL2.

[0310] Finally, the main control module sends the final operating parameters to the frequency converter module in the form of data encoding. The frequency converter module controls the operation of the washing machine motor and drum, thereby realizing the intelligent noise reduction process of the washing machine.

[0311] For the foregoing method embodiments, in order to simplify the description, they are all described as a series of actions. However, those skilled in the art should know that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps may be performed in other orders or simultaneously.

[0312] Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by this disclosure.

[0313] Corresponding to the aforementioned application function implementation method embodiments, this disclosure also provides embodiments of application function implementation apparatus and corresponding terminals.

[0314] Reference Figure 20 According to an exemplary embodiment, an electrical control device block diagram is shown, the device may include:

[0315] The transmitting unit 2002, in response to determining that a target object exists in the environmental space of the target electrical appliance, transmits a target ultra-wideband signal into the environmental space, wherein the environmental space is the space within a preset range where the target electrical appliance is located;

[0316] The first detection unit 2004 is used to detect the respiratory signal and heartbeat signal of the target object based on the echo signal of the target ultra-wideband signal;

[0317] The first determining unit 2006 is used to determine the target control parameters of the target electrical appliance based on the breathing signal and the heartbeat signal, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation.

[0318] In this embodiment of the disclosure, the apparatus further includes:

[0319] The transmitting unit is used to periodically transmit a first ultra-wideband signal of a preset frequency into the ambient space.

[0320] The parsing unit is used to receive the echo signal of the first ultra-wideband signal and parse the echo signal of the first ultra-wideband signal to obtain the respiratory signal and heartbeat signal included in the first ultra-wideband signal.

[0321] The second determining unit determines that the target object exists in the environmental space in response to the respiratory signal satisfying a preset respiratory frequency range and the heartbeat signal satisfying a preset heartbeat frequency range.

[0322] In this embodiment of the disclosure, the first detection unit 2004 is specifically used for:

[0323] Extract the human body signal from the echo signal of the target ultra-wideband signal;

[0324] The human body signal is filtered to obtain the filtered human body signal;

[0325] The filtered human body signal is analyzed to obtain the respiratory signal and heartbeat signal of the target object.

[0326] In this embodiment of the disclosure, the first determining unit 2006 is specifically used for:

[0327] Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal;

[0328] The target control parameters are determined based on the first adjustment amount and the rated control parameters of the target electrical appliance.

[0329] In this embodiment of the disclosure, the first determining unit 2006 is specifically used for:

[0330] Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target electrical appliance is detected;

[0331] The target control parameters of the target electrical appliance are determined based on the wall thickness grade, the breathing signal, and the heartbeat signal.

[0332] In this embodiment of the disclosure, the first determining unit 2006 is specifically used for:

[0333] The propagation delay of each sub-signal is determined based on the transmission time of the sub-signal and the reception time of the echo signal received from the sub-signal.

[0334] Based on the propagation delay of each frequency sub-signal, the degree of dispersion of the propagation delay of the multiple sub-signals of different frequencies is determined;

[0335] Based on a pre-configured second correspondence, a wall thickness level corresponding to the degree of dispersion is determined, wherein the second correspondence represents the correspondence between the degree of dispersion and the wall thickness level, and the wall thickness level is used to represent the wall thickness between the target object and the target appliance.

[0336] In this embodiment of the disclosure, the first determining unit 2006 is specifically used for:

[0337] Calculate the average propagation delay of the multiple sub-signals of different frequencies;

[0338] The degree of dispersion is determined based on the average value and the propagation delay of the sub-signal at each frequency.

[0339] In this embodiment of the disclosure, the time interval between the target electrical appliance sending the plurality of sub-signals of different frequencies is positively correlated with the frequency of the sub-signals.

[0340] In this embodiment of the disclosure, the first determining unit 2006 is specifically used for:

[0341] Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal;

[0342] Based on a pre-configured third correspondence, a second adjustment amount corresponding to the wall thickness level is determined, wherein the third correspondence represents the correspondence between the second adjustment amount for adjusting the control parameters of the target electrical appliance and the wall thickness level;

[0343] The target control parameters are determined based on the first adjustment amount, the second adjustment amount, and the rated control parameters of the target electrical appliance.

[0344] In this embodiment of the disclosure, the apparatus further includes:

[0345] The second detection unit is used to detect the change in distance between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal.

[0346] The third detection unit detects the change in wall thickness level in response to the distance change being greater than a preset distance threshold.

[0347] The update unit is used to update the current target control parameters of the target electrical appliance based on the changed wall thickness level, the breathing signal, and the heartbeat signal.

[0348] In this embodiment of the disclosure, the second detection unit is specifically used for:

[0349] The initial distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0350] Based on the echo signal intensity corresponding to the initial distance, the change in signal intensity of the echo signal of the target ultra-wideband signal is detected;

[0351] The distance change is determined based on the change in signal strength.

[0352] In this embodiment of the disclosure, the second detection unit is specifically used for:

[0353] The relative distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal.

[0354] Based on the respiratory signal and the heartbeat signal, the displacement of the chest cavity region of the target object is determined;

[0355] The initial distance is determined based on the relative distance and the displacement of the chest cavity region of the target object.

[0356] In this embodiment of the disclosure, the apparatus further includes:

[0357] The fourth detection unit is used to detect the attitude information of the target object based on the echo signal of the target ultra-wideband signal;

[0358] The fifth detection unit detects the breathing signal and heartbeat signal of the target object in response to the target object's posture information satisfying a preset posture condition.

[0359] In this embodiment of the disclosure, the fourth detection unit is specifically used for:

[0360] Based on the time information of the arrival time of the echo signal of the target ultra-wideband signal at the at least two UWB antennas, the time difference between the at least two UWB antennas in receiving the echo signal is determined;

[0361] Based on a pre-configured fourth correspondence, the attitude information of the target object is determined, wherein the fourth correspondence represents the correspondence between the time difference of receiving the echo signal between the at least two UWB antennas and the attitude information.

[0362] In this embodiment of the disclosure, the apparatus further includes:

[0363] The third determining unit determines that the target object's posture information satisfies the preset posture conditions in response to the fact that the target object's posture information within a preset time period is all preset posture information.

[0364] In this embodiment of the disclosure, the target appliance includes a washing machine, and the target control parameters include the maximum motor speed, the maximum motor acceleration, the maximum continuous rotation-to-stop ratio, and the water level.

[0365] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0366] Accordingly, in one aspect, embodiments of this disclosure provide an electrical device, including:

[0367] UWB antennas are used to transmit and receive ultra-wideband signals;

[0368] Processor; memory for storing processor-executable instructions; wherein the processor is configured as follows:

[0369] In response to determining that a target object exists in the ambient space of the target electrical appliance, a target ultra-wideband signal is transmitted into the ambient space.

[0370] Based on the echo signal of the target ultra-wideband signal, the respiratory signal and heartbeat signal of the target object are detected;

[0371] Based on the respiratory signal and the heartbeat signal, the target control parameters of the target electrical appliance are determined, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation.

[0372] Figure 21 This is a schematic diagram illustrating the structure of an electrical device 2100 according to an exemplary embodiment. For example, device 2100 may be a user device, specifically a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, or smart home device such as a washing machine, dishwasher, refrigerator, or air conditioner.

[0373] Reference Figure 21 The device 2100 may include one or more of the following components: a processing component 2102, a memory 2104, a power supply component 2106, a multimedia component 2108, an audio component 2110, an input / output (I / O) interface 2112, a sensor component 2114, and a communication component 2116.

[0374] Processing component 2102 typically controls the overall operation of device 2100, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 2102 may include one or more processors 2121 to execute instructions to perform all or part of the steps of the methods described above. Furthermore, processing component 2102 may include one or more modules to facilitate interaction between processing component 2102 and other components. For example, processing component 2102 may include a multimedia module to facilitate interaction between multimedia component 2108 and processing component 2102.

[0375] Memory 2104 is configured to store various types of data to support the operation of device 2100. Examples of this data include instructions for any application or method operating on device 2100, contact data, phonebook data, messages, pictures, videos, etc. Memory 2104 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0376] Power supply component 2106 provides power to various components of device 2100. Power supply component 2106 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 2100.

[0377] Multimedia component 2108 includes a screen that provides an output interface between the device 2100 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 2108 includes a front-facing camera and / or a rear-facing camera. When the device 2100 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0378] Audio component 2110 is configured to output and / or input audio signals. For example, audio component 2110 includes a microphone (MIC) configured to receive external audio signals when device 2100 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 2104 or transmitted via communication component 2116. In some embodiments, audio component 2110 also includes a speaker for outputting audio signals.

[0379] I / O interface 2112 provides an interface between processing component 2102 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0380] Sensor assembly 2114 includes one or more sensors for providing status assessments of various aspects of device 2100. For example, sensor assembly 2114 can detect the on / off state of device 2100, the relative positioning of components such as the aforementioned display and keypad of device 2100, changes in the position of device 2100 or a component of device 2100, the presence or absence of user contact with device 2100, the orientation or acceleration / deceleration of device 2100, and temperature changes of device 2100. Sensor assembly 2114 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 2114 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 2114 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0381] Communication component 2116 is configured to facilitate wired or wireless communication between device 2100 and other devices. Device 2100 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, 4G LTE, 5G NR, or combinations thereof. In one exemplary embodiment, communication component 2116 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the aforementioned communication component 2116 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0382] In an exemplary embodiment, device 2100 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0383] In an exemplary embodiment, a non-transitory computer-readable storage medium is also provided, such as a memory 2104 including instructions, which, when executed by the processor 2121 of the device 2100, enables the device 2100 to perform a method for sending information, the method including:

[0384] In response to determining that a target object exists in the ambient space of the target electrical appliance, a target ultra-wideband signal is transmitted into the ambient space.

[0385] Based on the echo signal of the target ultra-wideband signal, the respiratory signal and heartbeat signal of the target object are detected;

[0386] Based on the respiratory signal and the heartbeat signal, the target control parameters of the target electrical appliance are determined, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation.

[0387] The non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0388] 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 disclosure 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.

[0389] 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. An electrical control method, characterized in that, The method includes: In response to determining that a target object exists in the environmental space of the target appliance, a target ultra-wideband signal is transmitted into the environmental space, wherein the environmental space is the space within a preset range where the target appliance is located; Based on the echo signal of the target ultra-wideband signal, the respiratory signal and heartbeat signal of the target object are detected; Based on the respiratory signal and the heartbeat signal, the target control parameters of the target electrical appliance are determined, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation; The step of determining the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal includes: Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target appliance is detected; the target ultra-wideband signal includes multiple sub-signals of different frequencies, and the time delay of the sub-signals of different frequencies returning to the target appliance after passing through the wall is different; based on the difference in the propagation time delay between the sub-signals of different frequencies, the wall thickness level between the target object and the target appliance is measured. Based on the wall thickness grade, the breathing signal, and the heartbeat signal, the target control parameters of the target electrical appliance are determined; Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target electrical appliance is detected, including: The propagation delay of each sub-signal is determined based on the transmission time of the sub-signal and the reception time of the echo signal received from the sub-signal. Based on the propagation delay of each frequency sub-signal, the degree of dispersion of the propagation delay of the multiple sub-signals of different frequencies is determined; Based on a pre-configured second correspondence, a wall thickness level corresponding to the degree of dispersion is determined, wherein the second correspondence represents the correspondence between the degree of dispersion and the wall thickness level, and the wall thickness level is used to represent the wall thickness between the target object and the target appliance.

2. The method according to claim 1, characterized in that, Determining the existence of the target object within the environmental space includes: Periodically transmit a first ultra-wideband signal at a preset frequency into the environmental space; The echo signal of the first ultra-wideband signal is received, and the echo signal of the first ultra-wideband signal is analyzed to obtain the respiratory signal and heartbeat signal included in the echo signal of the first ultra-wideband signal. In response to the respiratory signal satisfying a preset respiratory frequency range and the heartbeat signal satisfying a preset heartbeat frequency range, it is determined that the target object exists in the environmental space.

3. The method according to claim 1 or 2, characterized in that, The step of detecting the respiratory and heartbeat signals of the target object based on the echo signal of the target ultra-wideband signal includes: Extract the human body signal from the echo signal of the target ultra-wideband signal; The human body signal is filtered to obtain the filtered human body signal; The filtered human body signal is analyzed to obtain the respiratory signal and heartbeat signal of the target object.

4. The method according to claim 1, characterized in that, The step of determining the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal includes: Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal; The target control parameters are determined based on the first adjustment amount and the rated control parameters of the target electrical appliance.

5. The method according to claim 1, characterized in that, Based on the propagation delay of each frequency sub-signal, the degree of dispersion of the propagation delay of the plurality of sub-signals at different frequencies is determined, including: Calculate the average propagation delay of the multiple sub-signals of different frequencies; The degree of dispersion is determined based on the average value and the propagation delay of the sub-signal at each frequency.

6. The method according to claim 1, characterized in that, The time interval between the target electrical appliance sending the multiple sub-signals of different frequencies is positively correlated with the frequency of the sub-signals.

7. The method according to claim 1, characterized in that, Based on the wall thickness rating, the respiratory signal, and the heartbeat signal, the target control parameters of the target electrical appliance are determined, including: Based on a pre-configured first correspondence, a first adjustment amount corresponding to the respiratory signal and the heartbeat signal is determined, wherein the first correspondence represents the correspondence between the first adjustment amount for adjusting the control parameters of the target electrical appliance and the respiratory signal and the heartbeat signal; Based on a pre-configured third correspondence, a second adjustment amount corresponding to the wall thickness level is determined, wherein the third correspondence represents the correspondence between the second adjustment amount for adjusting the control parameters of the target electrical appliance and the wall thickness level; The target control parameters are determined based on the first adjustment amount, the second adjustment amount, and the rated control parameters of the target electrical appliance.

8. The method according to claim 1, characterized in that, After determining the target control parameters of the target electrical appliance, the method further includes: Based on the echo signal of the target ultra-wideband signal, the change in distance between the target object and the target electrical appliance is detected; In response to the distance change being greater than a preset distance threshold, a change in the wall thickness level is detected; Based on the changed wall thickness level, the breathing signal, and the heartbeat signal, the target control parameters of the target electrical appliance are updated.

9. The method according to claim 8, characterized in that, The step of detecting the change in distance between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal includes: The initial distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal. Based on the echo signal intensity corresponding to the initial distance, the change in signal intensity of the echo signal of the target ultra-wideband signal is detected; The distance change is determined based on the change in signal strength.

10. The method according to claim 9, characterized in that, Determining the initial distance between the target object and the target appliance based on the time length between the transmission of the target ultra-wideband signal and the reception of the echo signal of the target ultra-wideband signal by the target appliance includes: The relative distance between the target object and the target appliance is determined based on the time length between the target appliance transmitting the target ultra-wideband signal and receiving the echo signal of the target ultra-wideband signal. Based on the respiratory signal and the heartbeat signal, the displacement of the chest cavity region of the target object is determined; The initial distance is determined based on the relative distance and the displacement of the chest cavity region of the target object.

11. The method according to claim 1, characterized in that, Before detecting the respiratory and heartbeat signals of the target object based on the echo signal of the target ultra-wideband signal, the method further includes: Based on the echo signal of the target ultra-wideband signal, the attitude information of the target object is detected; In response to the target object's posture information satisfying preset posture conditions, the target object's breathing signal and heartbeat signal are detected.

12. The method according to claim 11, characterized in that, The target electrical appliance includes at least two UWB antennas. The step of detecting the attitude information of the target object based on the echo signal of the target ultra-wideband signal includes: Based on the time information of the arrival time of the echo signal of the target ultra-wideband signal at the at least two UWB antennas, the time difference between the at least two UWB antennas in receiving the echo signal is determined; Based on a pre-configured fourth correspondence, the attitude information of the target object is determined, wherein the fourth correspondence represents the correspondence between the time difference of receiving the echo signal between the at least two UWB antennas and the attitude information.

13. The method according to claim 11, characterized in that, The process of determining that the pose information of the target object satisfies the preset pose conditions includes: In response to the fact that the posture information of the target object within a preset time period is all preset posture information, it is determined that the posture information of the target object meets the preset posture conditions.

14. The method according to claim 1, characterized in that, The target appliance includes a washing machine, and the target control parameters include the maximum motor speed, the maximum motor acceleration, the maximum continuous rotation-to-stop ratio, and the water level.

15. An electrical control device, characterized in that, The device includes: The transmitting unit is configured to transmit a target ultra-wideband signal into the ambient space in response to determining that a target object exists in the ambient space of the target electrical appliance, wherein the ambient space is the space within a preset range where the target electrical appliance is located; The first detection unit is used to detect the respiratory signal and heartbeat signal of the target object based on the echo signal of the target ultra-wideband signal; The first determining unit is configured to determine the target control parameters of the target electrical appliance based on the respiratory signal and the heartbeat signal, wherein the target control parameters are related to the noise level generated by the target electrical appliance during operation; The first determining unit is specifically used for: Based on the echo signal of the target ultra-wideband signal, the wall thickness level between the target object and the target appliance is detected; the target ultra-wideband signal includes multiple sub-signals of different frequencies, and the time delay of the sub-signals of different frequencies returning to the target appliance after passing through the wall is different; based on the difference in the propagation time delay between the sub-signals of different frequencies, the wall thickness level between the target object and the target appliance is measured. Based on the wall thickness grade, the breathing signal, and the heartbeat signal, the target control parameters of the target electrical appliance are determined; The first determining unit, when used to detect the wall thickness level between the target object and the target electrical appliance based on the echo signal of the target ultra-wideband signal, is specifically used for: The propagation delay of each sub-signal is determined based on the transmission time of the sub-signal and the reception time of the echo signal received from the sub-signal. Based on the propagation delay of each frequency sub-signal, the degree of dispersion of the propagation delay of the multiple sub-signals of different frequencies is determined; Based on a pre-configured second correspondence, a wall thickness level corresponding to the degree of dispersion is determined, wherein the second correspondence represents the correspondence between the degree of dispersion and the wall thickness level, and the wall thickness level is used to represent the wall thickness between the target object and the target appliance.

16. An electrical appliance, characterized in that, include: UWB antennas are used to transmit and receive ultra-wideband signals; processor; Memory used to store processor-executable instructions; The processor performs the steps of the method according to any one of claims 1 to 14.

17. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method described in any one of claims 1 to 14.

18. A computer program product, characterized in that, When the computer program product is executed by a processor, it implements the steps of the method described in any one of claims 1 to 14.

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