Control method and device of intelligent range hood, storage medium and intelligent range hood

Abstract

The invention relates to a control method and device of an intelligent range hood, a storage medium and the intelligent range hood. Vibration sound signals acquired by a microphone array on the intelligent range hood are acquired, and multi-source vibration separation processing is performed on the vibration sound signals based on a pre-stored separation matrix; obtaining a thermally induced vibration signal generated when the LED lamp is turned on; according to the method, the thermally induced vibration signal is acquired, spectral analysis is performed on the thermally induced vibration signal, attenuation compensation is performed on the LED lamp based on a spectral analysis result, the light attenuation condition of the LED lamp can be detected on line in the working process of the range hood, and timely adaptive compensation is performed, so that better cooking illumination experience is provided.

Description

Technical Field

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

[0002] In LED lighting applications for range hoods, LED lights inevitably experience light decay over time, meaning their brightness gradually decreases. This light decay not only affects the lighting effect in the stove area, reducing visual comfort during cooking, but may also be accompanied by changes in color temperature, impacting the overall lighting environment of the kitchen.

[0003] Most range hoods use a preset fixed compensation strategy to maintain brightness. However, due to differences in usage frequency, switching cycle, and kitchen environment among different users, the actual aging speed of LEDs varies. The fixed compensation mode is difficult to accurately match the actual decay, which can easily lead to insufficient or excessive brightness compensation, affecting the user experience.

[0004] There is currently no effective solution to the problem of poor reliability of LED light compensation in range hoods in related technologies. Summary of the Invention

[0005] This embodiment provides a control method, device, storage medium, and intelligent range hood to solve the problem of poor reliability of LED light compensation effect in related technologies.

[0006] Firstly, this embodiment provides a control method for an intelligent range hood, the method comprising:

[0007] The vibration sound signal is acquired; the vibration sound signal is collected by the microphone array on the smart range hood; the LED lights on the smart range hood are in the on state;

[0008] The vibration sound signal is subjected to multi-source vibration separation processing based on the pre-stored separation matrix to obtain the thermal vibration signal generated when the LED light is turned on.

[0009] The thermally induced vibration signal is subjected to spectral analysis, and the LED light is attenuated based on the results of the spectral analysis.

[0010] In some embodiments, spectral analysis is performed on the thermally induced vibration signal, and attenuation compensation is applied to the LED lamp based on the results of the spectral analysis, including:

[0011] The frequency of the main resonance peak was obtained by performing spectral analysis on the thermally induced vibration signal.

[0012] The frequency offset is calculated based on the main resonance peak frequency and the calibration frequency corresponding to the LED light.

[0013] Based on the frequency offset, attenuation compensation is performed on the LED light.

[0014] In some embodiments, spectral analysis is performed on the thermally induced vibration signal to obtain the main resonance peak frequency, including:

[0015] Based on the Welch overlapping piecewise averaging method, the thermally induced vibration signal is calculated to obtain the corresponding power spectral density function;

[0016] Based on the power spectral density function, the position of the maximum spectral line is determined, where the position of the maximum spectral line is the frequency point corresponding to the maximum power.

[0017] Based on the quadratic interpolation method, the position of the maximum spectral line is corrected to determine the final peak position and obtain the corresponding main resonance frequency.

[0018] In some embodiments, attenuation compensation is performed on the LED light based on the frequency offset, including:

[0019] If the frequency offset is greater than the preset attenuation threshold, then the preset compensation gain, maximum allowable offset, and original drive current are obtained.

[0020] The compensation coefficient is calculated based on the compensation gain, the maximum allowable offset, and the frequency offset.

[0021] The original drive current is compensated based on the compensation coefficient to obtain a new drive current.

[0022] In some embodiments, the method further includes:

[0023] The vibration sound signal is subjected to multi-source vibration separation processing based on a pre-stored separation matrix to extract the mechanical vibration signal; the mechanical vibration signal is generated by the motor vibration of the smart range hood.

[0024] The mechanical vibration signal is subjected to spectral analysis to obtain the peak frequency and corresponding time-domain amplitude within the target frequency band; the target frequency band is set based on the theoretical rotational frequency of the motor.

[0025] The current acceleration of the motor is calculated based on the peak frequency and corresponding time-domain amplitude within the target frequency band.

[0026] The health status of the motor is assessed based on the current acceleration.

[0027] In some embodiments, the health status of the motor is assessed based on the current acceleration, including:

[0028] If the current acceleration is greater than the first acceleration threshold, an alarm strategy is triggered, which includes reducing the fan speed and generating maintenance reminder information.

[0029] If the current acceleration is less than or equal to the first acceleration threshold, then determine whether the current acceleration is greater than the second acceleration threshold;

[0030] If the current acceleration is greater than the second acceleration threshold, an early warning strategy is triggered, which includes generating maintenance prompt information.

[0031] If the current acceleration is less than or equal to the second acceleration threshold, then it is confirmed to be normal.

[0032] Secondly, this embodiment provides a control device for an intelligent range hood, the device comprising:

[0033] The signal acquisition module is used to acquire vibration sound signals; the vibration sound signals are collected by the microphone array on the smart range hood; the LED lights on the smart range hood are in the on state;

[0034] The component analysis module is used to perform multi-source vibration separation processing on the vibration sound signal based on a pre-stored separation matrix to obtain the thermal vibration signal generated when the LED light is turned on.

[0035] An attenuation compensation module is used to perform spectral analysis on the thermally induced vibration signal and to perform attenuation compensation on the LED lamp based on the results of the spectral analysis.

[0036] Thirdly, this application also provides an intelligent range hood, including: a lamp assembly, a fan module, and a control module; the lamp assembly includes LED lights and a microphone array;

[0037] The LED light is used for illumination;

[0038] The microphone array is used to collect vibration sound signals;

[0039] The fan module is used to drive the impeller to rotate at high speed via a motor, drawing the gas generated during cooking into the range hood.

[0040] The control module is connected to the LED light, microphone array, and fan module, and is used to implement the steps of the method described in any one of the first aspects.

[0041] In some embodiments, the microphone array includes three microphones;

[0042] The three microphones are arranged in an equilateral triangle and positioned opposite the LED light.

[0043] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described in any one of the first aspects.

[0044] Compared with related technologies, the control method, device, storage medium, and intelligent range hood provided in this embodiment acquire vibration sound signals; the vibration sound signals are collected by a microphone array on the intelligent range hood; the LED lights on the intelligent range hood are in the on state; multi-source vibration separation processing is performed on the vibration sound signals based on a pre-stored separation matrix to obtain the thermally induced vibration signals generated when the LED lights are turned on; spectrum analysis is performed on the thermally induced vibration signals, and attenuation compensation is performed on the LED lights based on the results of the spectrum analysis. This allows for online detection of the light decay of the LED lights during the operation of the range hood, enabling timely adaptive compensation and thus providing a better cooking lighting experience.

[0045] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0046] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0047] Figure 1 This is a schematic diagram of the structure of the intelligent range hood in the embodiments of this application;

[0048] Figure 2 This is a flowchart illustrating the control method of the intelligent range hood in the embodiments of this application;

[0049] Figure 3 This is a schematic diagram of the method for attenuation compensation of LED lights in the embodiments of this application;

[0050] Figure 4 This is a schematic flowchart of the method for calculating the main resonance frequency in the embodiments of this application;

[0051] Figure 5 This is a structural block diagram of the intelligent range hood in the embodiments of this application;

[0052] Figure 6 This is a structural block diagram of the microphone array in an embodiment of this application;

[0053] Figure 7 This is a partially enlarged schematic diagram of the intelligent range hood in the embodiments of this application;

[0054] Figure 8This is a flowchart illustrating the LED compensation control method for an intelligent range hood in a preferred embodiment of this application.

[0055] Figure 9 This is a flowchart illustrating the fan maintenance control method for an intelligent range hood in a preferred embodiment of this application.

[0056] Figure 10 This is a structural block diagram of the control device for the intelligent range hood in the embodiments of this application.

[0057] Reference numerals: 31, lamp assembly; 311, LED lamp; 3111, lamp bead; 3112, diffuser plate; 3113, lampshade; 312, microphone array; 32, fan module; 33, control module; 34, smoke hood. Detailed Implementation

[0058] To better understand the purpose, technical solution, and advantages of this application, the application is described and explained below in conjunction with the accompanying drawings and embodiments.

[0059] Unless otherwise defined, the technical or scientific terms used in this application shall have the general meaning understood by one of ordinary skill in the art to which this application pertains. Words such as “a,” “an,” “an,” “the,” “the,” and “these” used in this application do not indicate quantitative limitation and may be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to these processes, methods, products, or devices. Words such as “connected,” “linked,” and “coupled” used in this application are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. Normally, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," "third," etc., used in this application are merely to distinguish similar objects and do not represent a specific order of objects.

[0060] This embodiment provides a control method for an intelligent range hood, which is applied to, for example... Figure 1 The smart range hood shown Figure 2 This is a flowchart of the control method for the intelligent range hood in this embodiment. See [link / reference]. Figure 1 and Figure 2 The process includes the following steps:

[0061] Step S210: Obtain vibration sound signal; the vibration sound signal is collected by the microphone array 312 on the smart range hood; the LED light 311 on the smart range hood is in the on state.

[0062] Step S220: Perform multi-source vibration separation processing on the vibration sound signal based on the pre-stored separation matrix to obtain the thermal vibration signal generated when the LED light 311 is turned on.

[0063] Step S230: Perform spectral analysis on the thermally induced vibration signal, and perform attenuation compensation on the LED lamp 311 based on the results of the spectral analysis.

[0064] Specifically, when the LED 311 is powered on, it generates heat, causing the encapsulation material to thermally expand. Because the coefficients of thermal expansion of different materials are different, periodic micro-vibrations occur, with the fundamental frequency f being... v With junction temperature T j satisfy:

[0065] ;

[0066] ;

[0067] Among them, K(T) j ) represents the temperature-dependent equivalent stiffness (N / m), which decreases with increasing temperature; m represents the equivalent mass of the package (kg); α represents the thermal stiffness attenuation coefficient; K0 represents the initial material stiffness (N / m); ΔT j This indicates the change in LED junction temperature (°C).

[0068] When LED light decays, the photoelectric conversion efficiency decreases, and the heat generation increases, leading to a decrease in junction temperature T. j The increase causes a temperature-dependent equivalent stiffness K(T) j The frequency of the fundamental frequency f decreases, ultimately leading to the decrease in the fundamental frequency f. v The frequency is reduced, therefore the fundamental frequency f can be used. v With the initial value of the fundamental frequency f v0 Compare and determine the degree of attenuation.

[0069] This embodiment utilizes a microphone array 312 to capture the weak acoustic signals generated by the thermal vibration of the LED lamp 311 during operation; it also eliminates motor interference, extracts the vibration characteristics of each color temperature LED, and achieves non-contact light decay detection and automatic adjustment of the drive current to compensate for color temperature deviation. The microphone array 312 can be embedded inside the range hood lamp cover 3113, solving the problem of traditional optical detection being easily contaminated by oil stains and improving detection accuracy. The microphone array 312 includes at least three MEMS microphones with a sampling rate of at least 40kHz.

[0070] The microphone array 312 acquires the raw sound pressure signal, such as: p i (t)=A i ×sin(2πfvt+φ i The original sound pressure signal can be further preprocessed, such as by filtering, to obtain a vibration sound signal that can be used for subsequent calculations.

[0071] In step S220, the Independent Component Analysis (ICA) algorithm is used to separate multi-source vibrations. For example, the pre-stored separation matrix W is called, and the separated signal matrix S = [S] is calculated based on the formula: S = W × P. led S motor ] T Where P is the collected vibration sound signal, and S led S is the thermally induced vibration signal generated when LED 311 is turned on. motor This refers to the mechanical vibration signal generated by the motor vibration of a smart range hood.

[0072] In this embodiment, a vibration sound signal is acquired; the vibration sound signal is collected by the microphone array 312 on the smart range hood; the LED light 311 on the smart range hood is in the on state; based on the pre-stored separation matrix, the thermal vibration signal generated when the LED light 311 is turned on is extracted from the vibration sound signal; the thermal vibration signal is subjected to spectrum analysis, and the LED light 311 is attenuated based on the results of the spectrum analysis. The light decay of the LED light 311 can be detected online during the operation of the range hood, and timely adaptive compensation can be performed, thereby providing a better cooking lighting experience.

[0073] In some of these embodiments, see Figure 1 and Figure 3 The thermally induced vibration signal is subjected to spectral analysis. Based on the results of the spectral analysis, attenuation compensation is performed on the LED lamp 311, including:

[0074] Step S231: Perform spectral analysis on the thermally induced vibration signal to obtain the main resonance peak frequency.

[0075] Step S232: Based on the main resonance peak frequency and the calibration frequency corresponding to LED 311, the frequency offset is calculated.

[0076] Step S233: Based on the frequency offset, perform attenuation compensation on LED lamp 311.

[0077] Specifically, the thermally induced vibration signal is converted from the time domain to the frequency domain, and the peak frequency is extracted from the corresponding spectral signal as the characteristic frequency to obtain the main resonance peak frequency. The main resonance peak frequency is then used as the fundamental frequency f. v , and its fundamental frequency initial value f v0That is, calibrating the frequency, comparing it, that is, calculating the frequency offset Δf = |f v0 -f v This allows for the assessment of attenuation based on frequency offset, and the corresponding compensation to be completed.

[0078] In some of these embodiments, see Figure 4 Spectral analysis of the thermally induced vibration signal yields the main resonance peak frequencies, including:

[0079] Step S231-A: Based on the Welch overlapping piecewise averaging method, the thermally induced vibration signal is calculated to obtain the corresponding power spectral density function PSD.

[0080] Specifically, the Welch overlapping piecewise averaging method, or Welch method, is used to calculate the power spectral density function (PSD). The specific process is as follows:

[0081] The thermal vibration signal S led Divide the graph into K segments (typically, each segment has a length of L = 1024 points), and calculate the periodicity P of each segment. K (f), the average result is obtained based on the periodogram: PSD(f) = (1 / K) × ΣP k (f). The formula for calculating the periodic chart is as follows:

[0082] ;

[0083] Among them, F s The sampling frequency is w[n] (e.g., 40kHz), and w[n] is the window function (e.g., using the Hanning window).

[0084] Step S231-B: Based on the power spectral density function, determine the position of the maximum spectral line, which is the frequency point corresponding to the maximum power.

[0085] Specifically, set the search range to 5-20kHz (avoiding the motor fundamental frequency <1kHz), and first obtain the position of the maximum spectral line f. m It should be noted that the power spectral density function is generally plotted with frequency on the horizontal axis and power on the vertical axis. The position of the maximum spectral line is the frequency point corresponding to the maximum power. Therefore, after completing the power spectral density PSD analysis, the frequency position corresponding to the maximum spectral line can be directly obtained.

[0086] Step S231-C: Based on the quadratic interpolation method, the position of the maximum spectral line is corrected to determine the final peak position and obtain the corresponding main resonance frequency.

[0087] Specifically, because the aforementioned steps divide the signal into k segments, the true peak frequency f v More precise positioning is needed. The true peak frequency f v It may be more frequent than the frequency f of the large spectral line position.m Even higher values ​​can be obtained using the numerical method of quadratic interpolation (parabolic interpolation), with the calculation formula as follows:

[0088] ;

[0089] Where δ is the frequency resolution, δ=F s / L,F s Where L is the sampling frequency and L is the length of each segment.

[0090] In some of these embodiments, attenuation compensation is performed on the LED 311 based on the frequency offset, including:

[0091] In step S233-A, if the frequency offset is greater than the preset attenuation threshold, the preset compensation gain, maximum allowable offset, and original drive current are obtained.

[0092] Step S233-B: Calculate the compensation coefficient based on the compensation gain, maximum allowable offset, and frequency offset.

[0093] Step S233-C: Compensate the original drive current based on the compensation coefficient to obtain a new drive current.

[0094] Specifically, the calculation formula for current compensation is as follows:

[0095] ;

[0096] Among them, I comp I0 is the new drive current, γ is the compensation gain (empirical value of 0.15, which can be set according to different LEDs and products), and Δf is the frequency offset. max For the maximum allowable offset (e.g., 500Hz), f v The main resonant frequency, f v0 To calibrate the frequency, sgn(x) is a standard mathematical function. If x > 0, sgn(x) returns 1, indicating that x is a positive number; if x = 0, sgn(x) returns 0, indicating that x is neither positive nor negative; if x < 0, sgn(x) returns -1, indicating that x is a negative number.

[0097] In some embodiments, the method further includes:

[0098] Step S240: Based on the pre-stored separation matrix, the vibration sound signal is subjected to multi-source vibration separation processing to extract the mechanical vibration signal; the mechanical vibration signal is generated by the motor vibration of the smart range hood.

[0099] Specifically, using the Independent Component Analysis (ICA) algorithm, the pre-stored separation matrix W is invoked, and the separated signal matrix S = [S] is calculated for the acquired vibration sound signal P.led S motor ] T Where P is the collected vibration sound signal, and S led S is the thermally induced vibration signal generated when LED 311 is turned on. motor This refers to the mechanical vibration signal generated by the motor vibration of a smart range hood. Specifically, when the impeller (centrifugal fan) of the range hood becomes unbalanced, it generates a periodic centrifugal force: F. c =mω 2 r and m represent the unbalanced mass (kg), r is the radius of the center of mass offset (m), and ω is the angular velocity (rad / s). ω = 2π × RPM / 60; RPM / 60 is the theoretical rotational frequency. This centrifugal force causes the impeller system to produce periodic vibrations with the following acceleration:

[0100] ;

[0101] Where M is the equivalent mass of the impeller system (kg) and a is the vibration acceleration (m / s²).

[0102] Step S250: Perform spectrum analysis on the mechanical vibration signal to obtain the peak frequency and corresponding time-domain amplitude within the target frequency band; the target frequency band is set based on the theoretical rotational frequency of the motor.

[0103] Specifically, the theoretical rotational frequency is typically f0 = RPM / 60 (in Hz). The target frequency band can be set to [0.8f0, 1.2f0]. ​​For the mechanical vibration signal S... motor (The mechanical vibration signal can be denoted as S2(t)), perform FFT to obtain S2(f), and search for the peak frequency f within the target frequency band. p If |f p If -f0|<△f (e.g., △f=0.5Hz), then it is determined to be the current 1x frequency component. Further, the time-domain amplitude A1 of the 1x frequency component is extracted (A1 is the frequency component amplitude extracted from the power spectrum PSD, essentially the velocity amplitude (m / s)):

[0104] ;

[0105] Where δ is the frequency resolution, i.e., the sampling frequency F s / Length of each segment L, f p The peak frequency obtained from the search.

[0106] Step S260: Calculate the current acceleration of the motor based on the peak frequency and the corresponding time-domain amplitude within the target frequency band.

[0107] Specifically, according to the ISO 10816 vibration standard, the vibration velocity threshold for household appliances is ≤1.8 mm / s (RMS). The relationship between acceleration and velocity is: a = 2πfv, where, for simple harmonic motion of a single frequency (such as vibration caused by impeller imbalance), there is a strict mathematical relationship between displacement, velocity, and acceleration:

[0108] Let the displacement equation be: x(t) = Asin(2πft); then the velocity equation (the first derivative of the displacement) is: v(t) = dx / dt = 2πf × Acos(2πft); the velocity amplitude is v peak =2πfA; Acceleration equation (first derivative of velocity / second derivative of displacement): a(t) = dv / dt = (2πf) 2 ×Asin(2πft); then the acceleration amplitude a peak =(2πf) 2 ×A=2πf×2πfA=2πf×v peak .

[0109] Currently at f=f p Time: Current acceleration a peak Represented as:

[0110] ;

[0111] Where A1 represents the time-domain amplitude, f p This represents the peak frequency; further conversion to g value yields: a g =a peak / 9.8.

[0112] Step S270: Assess the health status of the motor based on the current acceleration.

[0113] At f=f0: Allowable peak acceleration a peak0 =2πf0×1.8×10 -3 (Unit: m / s²). Further conversion to g (because 1g = 9.8 m / s²): a g0 =2πf0×1.8×10 -3 / 9.8. When f0 = 25Hz (i.e., RPM = 1500 rpm, f0 = RPM / 60 = 25Hz), the allowable acceleration a g0 ≈0.029g. The current acceleration a peak Compared with allowable acceleration a g0 Compare and judge to assess the health status of the motor.

[0114] In this embodiment, vibration spectrum analysis is extended to simultaneously monitor abnormal vibration of the range hood impeller-motor while compensating for LED light 311, thereby performing health diagnosis and achieving coordinated monitoring of multiple physical quantities.

[0115] In some of these embodiments, the health status of the motor is assessed based on the current acceleration, including:

[0116] Step S271: If the current acceleration is greater than the first acceleration threshold, an alarm strategy is triggered. The alarm strategy includes reducing the fan speed and generating maintenance reminder information.

[0117] Step S272: If the current acceleration is less than or equal to the first acceleration threshold, then determine whether the current acceleration is greater than the second acceleration threshold.

[0118] Step S273: If the current acceleration is greater than the second acceleration threshold, a warning strategy is triggered. The warning strategy includes generating maintenance prompt information.

[0119] Step S274: If the current acceleration is less than or equal to the second acceleration threshold, then it is confirmed to be normal.

[0120] Specifically, in actual engineering, considering detection error and safety margin, the following settings can be made: warning threshold: 0.3g (approximately 10 times the standard to avoid false alarms); alarm threshold: 0.5g (triggering downgrade protection).

[0121] This embodiment provides a smart range hood, see [link / reference] Figure 5 The intelligent range hood includes: a light assembly 31, a fan module 32, and a control module 33; the light assembly 31 includes an LED light 311 and a microphone array 312.

[0122] LED light 311 is used for lighting; microphone array 312 is used for collecting vibration sound signals; fan module 32 is used to drive the impeller to rotate at high speed through a motor to draw the gas generated during cooking into the range hood; control module 33 is connected to LED light 311, microphone array 312 and fan module 32 to implement the steps of any of the above-described intelligent range hood control method embodiments.

[0123] In this application, a vibration sound signal is acquired; the vibration sound signal is collected by the microphone array 312 on the smart range hood; the LED light 311 on the smart range hood is in the on state; based on the pre-stored separation matrix, the thermal vibration signal generated when the LED light 311 is turned on is extracted from the vibration sound signal; the thermal vibration signal is subjected to spectrum analysis, and the LED light 311 is attenuated based on the results of the spectrum analysis. This allows for online detection of the light decay of the LED light 311 during the operation of the range hood, enabling timely adaptive compensation and thus providing a better cooking lighting experience.

[0124] In some of these embodiments, see Figure 6The microphone array 312 includes three microphones; the three microphones are arranged in an equilateral triangle and are positioned opposite the LED light 311.

[0125] In some of these embodiments, see Figure 7 and Figure 1 The LED light 311 includes an LED bead 3111, a light diffuser plate 3112, and a lamp cover 3113. The light diffuser plate 3112 is arranged opposite to the LED bead 3111. Both the LED bead 3111 and the light diffuser plate 3112 are arranged inside the lamp cover 3113. The light emitted by the LED bead 3111 passes through the light diffuser plate 3112 and shines onto the stove.

[0126] In some of these embodiments, see Figure 7 and Figure 1 LED light 311 is installed on the smoke collection hood 34 of the smart range hood.

[0127] In some of these embodiments, see Figure 7 and Figure 1 The microphone array 312 is disposed inside the lamp cover 3113 of the LED lamp 311. Specifically, the microphone array 312 is disposed between the LED beads 3111 and the light diffuser 3112.

[0128] In some of these embodiments, the microphone has a sensitivity of -38 dBV / Pa and a sampling frequency of 40 kHz.

[0129] The present embodiment will now be described and illustrated through preferred embodiments.

[0130] This preferred embodiment of the application provides a smart range hood, see [link]. Figure 1 , Figure 5 and Figure 7 The intelligent range hood includes: a light assembly 31, a fan module 32, and a control module 33; the light assembly 31 includes an LED light 311 and a microphone array 312, and the light assembly 31 is mounted on the smoke collection hood 34 of the intelligent range hood.

[0131] LED light 311 is used for illumination; microphone array 312 is used for collecting vibration sound signals; wherein, microphone array 312 includes three microphones; the three microphones are arranged in an equilateral triangle and are positioned opposite to LED light 311. Microphone array 312 is disposed inside lampshade 3113 of LED light 311, and the microphones have a sensitivity of -38dBV / Pa and a sampling frequency of 40kHz.

[0132] The fan module 32 is used to drive the impeller to rotate at high speed via a motor, drawing the gas generated during cooking into the range hood.

[0133] Control module 33 is connected to LED light 311, microphone array 312, and fan module 32. It is used to implement LED compensation control methods; see [link / reference]. Figure 8 The specific process is as follows:

[0134] S1. After the intelligent range hood is turned on, it collects or reads the calibrated frequency f of the stored LED light 311. v0 .

[0135] S2. Acquire the vibration sound signal collected by the microphone array 312.

[0136] S3. Based on the pre-stored separation matrix, perform multi-source vibration separation processing on the vibration sound signal to obtain the thermally induced vibration signal S generated when the LED light 311 is turned on. led The mechanical vibration signal S generated by the motor vibration of the smart range hood motor .

[0137] S4, regarding the thermally induced vibration signal S led Spectral analysis was performed, and the power spectral density function (PSD) was calculated to obtain the main resonance frequency f. v .

[0138] S5, Based on the main resonance peak frequency f v The calibrated frequency f corresponding to LED light 311 v0 The frequency offset Δf is calculated. The frequency offset Δf is then compared with the first threshold Δf. m (500) and the first threshold Δf n (150) Compare.

[0139] S6. If Δf is greater than Δf m If the prompt indicates that the light needs to be replaced, then proceed to step S9 after the replacement is completed.

[0140] S7. If Δf is less than Δf m And greater than △f n Then, obtain the preset compensation gain, maximum allowable offset, and original drive current; calculate the compensation coefficient based on the compensation gain, maximum allowable offset, and frequency offset; compensate the original drive current based on the compensation coefficient to obtain a new drive current; control the LED lamp 311 to emit light based on the new drive current, and then execute step S9 after completion.

[0141] S8. If △f is less than △f n If the attenuation is small, no further action will be taken, and step S9 will be executed.

[0142] S9. Detect the shutdown signal; if the shutdown signal is detected, shut down the system; if the shutdown signal is not detected, re-enter the main loop and start executing from step S2.

[0143] Control module 33 is also used to implement wind turbine maintenance control methods, see [link / reference] Figure 9 Following step S3 above, the following process is also included:

[0144] S10, for mechanical vibration signal S motor Perform a Fast Fourier Transform (FFT) to obtain the corresponding motor frequency domain signal S2(f).

[0145] S11. Search for the peak frequency f in the target frequency band [0.8f0, 1.2f0]. p Where f0 is the theoretical rotational frequency of the motor, and if the peak frequency f p If the difference between the peak frequency f0 and the theoretical rotational frequency f0 is less than the safety threshold, the fan is considered to be functioning normally and requires no intervention; if the peak frequency f0 is less than the theoretical rotational frequency f0, the fan is considered to be functioning normally and requires no intervention. p If the difference between the motor frequency and the theoretical rotational frequency f0 is greater than the safety threshold, it is determined that there is an abnormality in the motor, and then step S12 is executed.

[0146] S12. Calculate the time-domain amplitude A1 based on the peak frequency f. p The current acceleration a of the motor is calculated using the corresponding time-domain amplitude A1. g .

[0147] S13, if the current acceleration a g If the acceleration exceeds the first acceleration threshold (e.g., 0.5g), an alarm strategy is triggered, which includes reducing the fan speed and generating a maintenance reminder message.

[0148] S14. If the current acceleration a g If the acceleration is less than the first acceleration threshold (e.g., 0.5g), then determine whether the current acceleration is greater than the second acceleration threshold (e.g., 0.3g).

[0149] S15. If the current acceleration is greater than the second acceleration threshold, a warning strategy is triggered, which includes generating maintenance prompts; if the current acceleration is less than or equal to the second acceleration threshold, normal operation is confirmed.

[0150] In this preferred embodiment, a microphone array 312 is embedded inside the smart range hood lampshade 3113 to capture the weak acoustic signals generated by the thermal vibration of the LED beads 3111 during operation. A multi-source vibration separation algorithm is used to eliminate motor interference and extract the vibration characteristic spectrum of each color temperature LED bead 3111. A quantitative relationship model between heat dissipation changes caused by light decay and vibration spectrum shift is established, enabling non-contact light decay detection and automatic adjustment of the drive current to compensate for color temperature deviations. This also solves the problem of traditional optical detection being easily contaminated by oil. Furthermore, the multi-source vibration separation algorithm can be used to extract the motor's vibration signal, expand vibration spectrum analysis, and simultaneously monitor abnormal vibration of the range hood impeller-motor for health diagnosis. This achieves coordinated monitoring and automatic compensation of multiple physical quantities, improves the control efficiency and accuracy of the smart range hood, and enhances the user experience.

[0151] It should be noted that the steps shown in the above process or in the flowchart of the accompanying figures can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0152] This embodiment also provides a control device for an intelligent range hood, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. The terms "module," "unit," and "subunit," etc., used below refer to combinations of software and / or hardware that achieve a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0153] Figure 10 This is a structural block diagram of the control device for the intelligent range hood in this embodiment, as shown below. Figure 10 As shown, the device includes: a signal acquisition module 41, a component analysis module 42, and an attenuation compensation module 43.

[0154] Signal acquisition module 41 is used to acquire vibration sound signals; the vibration sound signals are acquired by the microphone array on the smart range hood; the LED lights on the smart range hood are in the on state;

[0155] The component analysis module 42 is used to perform multi-source vibration separation processing on the vibration sound signal based on the pre-stored separation matrix to obtain the thermal vibration signal generated when the LED light is turned on.

[0156] The attenuation compensation module 43 is used to perform spectral analysis on the thermally induced vibration signal and to perform attenuation compensation on the LED lamp based on the results of the spectral analysis.

[0157] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0158] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated in this embodiment.

[0159] Furthermore, in conjunction with the control method for the intelligent range hood provided in the above embodiments, this embodiment can also provide a storage medium for implementation. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the intelligent range hood control methods described in the above embodiments.

[0160] It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. All other embodiments derived by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0161] Obviously, the accompanying drawings are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar situations based on these drawings without any creative effort. Furthermore, it is understood that although the work done in this development process may be complex and lengthy, for those skilled in the art, certain design, manufacturing, or production modifications made based on the technical content disclosed in this application are merely conventional technical means and should not be considered as insufficient disclosure of this application.

[0162] The term "embodiment" in this application refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily imply the same embodiment, nor does it imply that it is mutually exclusive with or independent of other embodiments. It will be clearly or implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0163] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of patent protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims

1. A control method for an intelligent range hood, characterized in that, The method includes: The vibration sound signal is acquired; the vibration sound signal is collected by the microphone array on the smart range hood; the LED lights on the smart range hood are in the on state; The vibration sound signal is subjected to multi-source vibration separation processing based on the pre-stored separation matrix to obtain the thermal vibration signal generated when the LED light is turned on. The thermally induced vibration signal is subjected to spectral analysis, and the LED light is attenuated based on the results of the spectral analysis.

2. The control method for an intelligent range hood according to claim 1, characterized in that, Perform spectral analysis on the thermally induced vibration signal, and perform attenuation compensation on the LED lamp based on the results of the spectral analysis, including: The frequency of the main resonance peak was obtained by performing spectral analysis on the thermally induced vibration signal. The frequency offset is calculated based on the main resonance peak frequency and the calibration frequency corresponding to the LED light. Based on the frequency offset, attenuation compensation is performed on the LED light.

3. The control method for an intelligent range hood according to claim 2, characterized in that, The thermally induced vibration signal is subjected to spectral analysis to obtain the main resonance peak frequency, including: Based on the Welch overlapping piecewise averaging method, the thermally induced vibration signal is calculated to obtain the corresponding power spectral density function; Based on the power spectral density function, the position of the maximum spectral line is determined, where the position of the maximum spectral line is the frequency point corresponding to the maximum power. Based on the quadratic interpolation method, the position of the maximum spectral line is corrected to determine the final peak position and obtain the corresponding main resonance frequency.

4. The control method for an intelligent range hood according to claim 2, characterized in that, Based on the frequency offset, attenuation compensation is performed on the LED light, including: If the frequency offset is greater than the preset attenuation threshold, then the preset compensation gain, maximum allowable offset, and original drive current are obtained. The compensation coefficient is calculated based on the compensation gain, the maximum allowable offset, and the frequency offset. The original drive current is compensated based on the compensation coefficient to obtain a new drive current.

5. The control method for an intelligent range hood according to claim 1, characterized in that, The method further includes: The vibration sound signal is subjected to multi-source vibration separation processing based on a pre-stored separation matrix to extract the mechanical vibration signal; the mechanical vibration signal is generated by the motor vibration of the smart range hood. The mechanical vibration signal is subjected to spectral analysis to obtain the peak frequency and corresponding time-domain amplitude within the target frequency band; the target frequency band is set based on the theoretical rotational frequency of the motor. The current acceleration of the motor is calculated based on the peak frequency and corresponding time-domain amplitude within the target frequency band. The health status of the motor is assessed based on the current acceleration.

6. The control method for an intelligent range hood according to claim 5, characterized in that, Based on the current acceleration, assess the health status of the motor, including: If the current acceleration is greater than the first acceleration threshold, an alarm strategy is triggered, which includes reducing the fan speed and generating maintenance reminder information. If the current acceleration is less than or equal to the first acceleration threshold, then determine whether the current acceleration is greater than the second acceleration threshold; If the current acceleration is greater than the second acceleration threshold, an early warning strategy is triggered, which includes generating maintenance prompt information. If the current acceleration is less than or equal to the second acceleration threshold, then it is confirmed to be normal.

7. A control device for an intelligent range hood, characterized in that, The device includes: The signal acquisition module is used to acquire vibration sound signals; the vibration sound signals are collected by the microphone array on the smart range hood; the LED lights on the smart range hood are in the on state; The component analysis module is used to perform multi-source vibration separation processing on the vibration sound signal based on a pre-stored separation matrix to obtain the thermal vibration signal generated when the LED light is turned on. An attenuation compensation module is used to perform spectral analysis on the thermally induced vibration signal and to perform attenuation compensation on the LED lamp based on the results of the spectral analysis.

8. A smart range hood, characterized in that, include: The system comprises a lighting assembly, a fan module, and a control module; the lighting assembly includes LED lights and a microphone array. The LED light is used for illumination; The microphone array is used to collect vibration sound signals; The fan module is used to drive the impeller to rotate at high speed via a motor, drawing the gas generated during cooking into the range hood. The control module is connected to the LED light, microphone array, and fan module, and is used to implement the steps of the method according to any one of claims 1 to 6.

9. The intelligent range hood according to claim 8, characterized in that, The microphone array includes three microphones; The three microphones are arranged in an equilateral triangle and positioned opposite the LED light.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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