Detection of target objects on a baffle and intelligent extractor hood

Abstract

The application relates to a detection of a target object on a baffle and an intelligent oil fume exhauster, wherein an ultrasonic wave transmitter and an ultrasonic wave receiver are oppositely arranged on two sides of the baffle; the ultrasonic wave transmitter is used for emitting a first surface wave and a second surface wave; the first surface wave and the second surface wave propagate on the surface of the baffle; the frequency of the first surface wave is greater than that of the second surface wave; the ultrasonic wave receiver is used for outputting a first response signal based on the first surface wave and a second response signal based on the second surface wave; the first response signal and the second response signal are acquired; whether water droplets are attached to the surface of the baffle is judged based on phase difference information of the first response signal and the second response signal, the problem that it is difficult to efficiently and accurately detect the condensed water on the surface of the baffle is solved, the checking sensitivity and the accuracy can be improved through the surface ultrasonic wave, the application is suitable for various scenes, and the detection reliability is ensured.

Description

Technical Field

[0001] This application relates to the field of intelligent detection technology, and in particular to a smart range hood for detecting target objects on a baffle. Background Technology

[0002] Condensation is a common phenomenon in many everyday and industrial applications. It typically occurs on the surfaces of glass or metal surfaces due to temperature differences and changes in ambient humidity, such as the smoke baffles of kitchen range hoods, car windshields, and refrigerator glass doors. In these scenarios, condensation can have various adverse effects. In a kitchen environment, accumulated condensation can drip and contaminate the stovetop or food. In industrial equipment or building components, prolonged condensation can accelerate the corrosion of metal parts and potentially affect the stability and lifespan of the equipment.

[0003] Currently, the detection of condensation on baffles mainly relies on humidity sensors. However, traditional humidity sensors have slow response speeds and can only perform single-point measurements, resulting in a limited detection range and difficulty in efficiently and accurately reflecting the condition of the baffle surface. Summary of the Invention

[0004] This embodiment provides a detection system for target objects on a baffle and an intelligent range hood to solve the problems of low monitoring efficiency and poor accuracy in related technologies.

[0005] In a first aspect, this embodiment provides a method for detecting a target object on a baffle, wherein an ultrasonic transmitter and an ultrasonic receiver are respectively provided on both sides of the baffle;

[0006] The ultrasonic transmitter is used to emit a first surface wave and a second surface wave; the first surface wave and the second surface wave propagate on the surface of the baffle; the frequency of the first surface wave is greater than the frequency of the second surface wave.

[0007] The ultrasonic receiver is used to output a first response signal based on the first surface wave and to output a second response signal based on the second surface wave.

[0008] The method includes:

[0009] Acquire the first response signal and the second response signal;

[0010] Based on the phase difference information between the first response signal and the second response signal, it is determined whether water droplets are attached to the surface of the baffle.

[0011] In some embodiments, the baffle is provided with two pairs of ultrasonic transmitters and ultrasonic receivers, and the lines connecting the positions of the two pairs of ultrasonic transmitters and ultrasonic receivers intersect each other.

[0012] In some embodiments, the frequency of the first surface wave is 40 kHz and the frequency of the second surface wave is 20 kHz.

[0013] In some embodiments, determining whether water droplets are attached to the surface of the baffle based on the phase difference information between the first response signal and the second response signal includes:

[0014] The first phase is extracted from the first response signal;

[0015] A second phase is extracted from the second response signal; a reference phase is calculated based on the second phase and a preset frequency coefficient; the frequency coefficient is obtained based on the frequency ratio of the first surface wave and the second surface wave.

[0016] The phase difference is calculated based on the first phase and the reference phase;

[0017] If the phase difference is greater than the preset warning phase value, it is determined whether water droplets are attached to the surface of the baffle.

[0018] In some embodiments, the method further includes:

[0019] Based on the amplitude ratio of the first response signal and the second response signal, it is determined whether the surface of the baffle is covered with oil.

[0020] In some embodiments, the method further includes:

[0021] If the amplitude of the first response signal decreases by a preset percentage within a preset time interval, it is determined whether there is a crack on the surface of the baffle.

[0022] Secondly, this embodiment provides an intelligent range hood, including: a baffle and an intelligent control module;

[0023] The baffle is installed at the exhaust port of the smart range hood;

[0024] The intelligent control module is used to implement the steps of the method described in any one of the first aspects.

[0025] In some embodiments, the intelligent control module is also used to calculate the fluctuation characteristics and peak characteristics of the phase difference within a preset time window;

[0026] If the fluctuation characteristic is less than the first threshold, the peak value is less than the second threshold, and the phase difference is greater than the preset warning phase value, then the working environment of the smart range hood is determined to be a steaming environment.

[0027] If the fluctuation characteristic is greater than or equal to the first threshold and the peak value is greater than or equal to the second threshold, then the working environment of the smart range hood is determined to be a stir-frying environment.

[0028] In some embodiments, the surface of the baffle is provided with a heating layer and a hydrophobic layer; the heating layer is connected to the intelligent control module;

[0029] The intelligent control module is also used to control the heating layer to generate heat during the steaming or cooking process.

[0030] In some embodiments, the intelligent range hood further includes a fan drive module; the fan drive module is used to drive the fan to work.

[0031] The intelligent control module is also used to adjust the operating level of the fan drive module based on the phase difference information or amplitude ratio of the first response signal and the second response signal.

[0032] Compared with related technologies, the target object detection and intelligent range hood provided in this embodiment uses an ultrasonic transmitter and an ultrasonic receiver respectively arranged opposite to each other on both sides of the baffle. The ultrasonic transmitter is used to emit a first surface wave and a second surface wave. The first surface wave and the second surface wave propagate on the surface of the baffle. The frequency of the first surface wave is greater than the frequency of the second surface wave. The ultrasonic receiver is used to output a first response signal based on the first surface wave and a second response signal based on the second surface wave. The first response signal and the second response signal are acquired. Based on the phase difference information of the first response signal and the second response signal, it is determined whether water droplets are attached to the surface of the baffle. This solves the problem of difficulty in efficiently and accurately detecting condensation on the surface of the baffle. It can improve the inspection sensitivity and accuracy through surface ultrasonic waves, is applicable to various scenarios, and ensures the reliability of detection.

[0033] 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

[0034] 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:

[0035] Figure 1 This is a hardware structure block diagram of the terminal for the target object detection method on the baffle in the embodiments of this application;

[0036] Figure 2 This is a schematic diagram of the ultrasonic transmitter and ultrasonic receiver on the baffle in an embodiment of this application;

[0037] Figure 3 This is a flowchart illustrating the method for detecting a target object on a baffle in an embodiment of this application;

[0038] Figure 4 This is a schematic diagram illustrating the use of the smart range hood and cooktop after installation in the embodiments of this application;

[0039] Figure 5 This is a schematic diagram of the baffle structure in an embodiment of this application;

[0040] Figure 6 This is a flowchart illustrating the method for detecting a target object on a baffle in a preferred embodiment of this application.

[0041] Reference numerals: 102, processor; 104, memory; 106, transmission device; 108, input / output device; 10, baffle; 11, flat base layer; 12, heating layer; 13, hydrophobic layer; 20, ultrasonic transmitter; 21, first transmitter; 22, second transmitter; 30, ultrasonic receiver; 31, first receiver; 32, second receiver; 100, intelligent range hood; 200, cooktop. Detailed Implementation

[0042] To better understand the purpose, technical solution, and advantages of this application, the application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0043] 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.

[0044] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal for the target object detection method on the baffle in this embodiment. For example... Figure 1 As shown, a terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0045] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the target object detection method on the baffle in this embodiment. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0046] The transmission device 106 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0047] This embodiment provides a method for detecting a target object on a baffle, such as Figure 2 As shown, an ultrasonic transmitter 20 and an ultrasonic receiver 30 are respectively arranged on both sides of the baffle 10. The ultrasonic transmitter 20 is used to emit a first surface wave and a second surface wave. The first surface wave and the second surface wave propagate on the surface of the baffle 10. The frequency of the first surface wave is greater than the frequency of the second surface wave. The ultrasonic receiver 30 is used to output a first response signal based on the first surface wave and a second response signal based on the second surface wave. Specifically, the ultrasonic transmitter 20 can be two single-frequency transmitters with different frequencies and two ultrasonic receivers 30 with corresponding frequencies. In other embodiments, the ultrasonic transmitter 20 can also be a dual-frequency ultrasonic transmitter 20. The frequency of the first surface wave is in the range of 30–50 kHz, and its wavelength should be close to the size of a water droplet / crack (5–10 mm). The frequency of the second surface wave can be set in the range of 15–25 kHz. Preferably, the frequency ratio of the first surface wave and the second surface wave is 2:1 (error < ±10%). For example, the frequencies of the first surface wave and the second surface wave are 40 kHz and 20 kHz, or 36 kHz and 18 kHz, respectively.

[0048] Figure 3 This is a flowchart of the target object detection method on the baffle in this embodiment, as follows: Figure 2 and Figure 3 As shown, the process includes the following steps:

[0049] Step S310: Obtain the first response signal and the second response signal.

[0050] Specifically, after the first surface wave and the second surface wave propagate on the surface of the baffle 10, they are detected by the ultrasonic receiver 30. The ultrasonic receiver 30 filters the original signals of the two frequencies and generates the first response signal and the second response signal.

[0051] Step S320: Based on the phase difference information between the first response signal and the second response signal, determine whether water droplets are attached to the surface of the baffle 10.

[0052] Specifically, the adhesion of water causes varying amplitudes in the phase information of surface waves at different frequencies. The first surface wave uses a wavelength closer to the size of a water droplet, while the second surface wave has a wavelength larger than the water droplet size, and the difference between the wavelength of the second surface wave and the water droplet size is greater than that of the first surface wave. Hydrogen bonds in water molecules reduce the sound velocity at the glass surface, especially for the first surface wave with a wavelength close to the typical water droplet size (1-5 mm), which induces Rayleigh scattering and significant abrupt changes in sound velocity. The Rayleigh wave velocity formula is as follows:

[0053] ;

[0054] Where: v represents Poisson's ratio (0.22 for glass, increasing to 0.3 when covered by a water film), E represents the elastic modulus, and ρ represents density. The adhesion of water droplets increases the Poisson's ratio v of the first surface wave, and the wave velocity v R The phase delay is significantly increased. Therefore, by extracting the phase information of the first and second response signals using a lock-in amplifier, and analyzing the difference in phase information changes between the two, the degree of moisture adhesion on the surface of the baffle 10 can be determined. Furthermore, the phase delay of a single-frequency signal is affected by temperature drift, resulting in significant noise. However, the impact of temperature changes on phase information is proportional across different frequencies. Therefore, this embodiment introduces dual-frequency measurement to obtain phase difference information and eliminate temperature drift noise.

[0055] In this embodiment, a first surface wave and a second surface wave of different frequencies propagating on the surface of the baffle 10 are detected to obtain a first response signal and a second response signal. Based on the phase difference information of the first response signal and the second response signal, it is determined whether water droplets are attached to the surface of the baffle 10. This solves the problem of difficulty in efficiently and accurately detecting condensation on the surface of the baffle 10 in the prior art. It can determine the condensation situation in real time through surface ultrasound, improve the inspection sensitivity and accuracy, is applicable to a variety of scenarios, and ensures the reliability of detection.

[0056] In some embodiments, the baffle 10 is provided with two pairs of ultrasonic transmitters 20 and ultrasonic receivers 30, and the lines connecting the positions of the two pairs of ultrasonic transmitters 20 and ultrasonic receivers 30 intersect.

[0057] For details, see Figure 2 The ultrasonic transmitter 20 includes a first transmitter 21 and a second transmitter 22, and the ultrasonic receiver 30 includes a first receiver 31 and a second receiver 32. The first transmitter 21 and the second transmitter 22 are spaced apart on one side of the baffle 10. The first transmitter 21 emits a first surface wave, and the second transmitter 22 emits a second surface wave. The first receiver 31 and the second receiver 32 are spaced apart on the other side of the baffle 10. The first receiver 31 is paired with the first transmitter 21 to receive the first surface wave, and the second receiver 32 is paired with the second transmitter 22 to receive the second surface wave. The two pairs of ultrasonic transmitters 20 and ultrasonic receivers 30 are staggered, meaning the line connecting the locations of the first transmitter 21 and the first receiver 31 intersects the line connecting the locations of the second transmitter 22 and the second receiver 32. In other embodiments, the first transmitter 21 and the second receiver 32 may be located on the same side of the baffle 10, and the second transmitter 22 and the first receiver 31 may be located on the other side of the baffle 10.

[0058] In this embodiment, two pairs of ultrasonic transmitters 20 and ultrasonic receivers 30 are cross-mounted, which can maximize the detection of the entire surface of the baffle 10 and improve the reliability of the detection results.

[0059] In some of these embodiments, the frequency of the first surface wave is 40 kHz and the frequency of the second surface wave is 20 kHz.

[0060] Specifically, the 40kHz surface ultrasonic wavelength (λ≈8.5mm) is close to the typical water droplet size (1-5mm) and microcrack scale (0.1-1mm), making it more sensitive to targets on baffled surfaces such as water droplets and cracks. The 20kHz surface ultrasonic wavelength is longer (λ≈17mm), has strong penetrating power, provides a stable reference signal, and is particularly sensitive to oil film attenuation (attenuation coefficient ∝ f). 2 Suitable for oil stain detection.

[0061] In some embodiments, determining whether water droplets are attached to the surface of the baffle 10 based on the phase difference information of the first response signal and the second response signal includes:

[0062] Step S321: Extract the first phase φ from the first response signal. 高 .

[0063] Step S322: Extract the second phase φ from the second response signal. 低Based on the second phase φ 低 The reference phase Δφ is calculated using the preset frequency coefficient k; the frequency coefficient k is based on the frequency ratio of the first surface wave and the second surface wave.

[0064] Step S323: Calculate the phase difference based on the first phase and the reference phase.

[0065] Specifically, as temperature increases, the change in sound speed causes a phase shift satisfying φ∝f×L / v(T) (where L is the path length, v(T) is the temperature-dependent sound speed, and f is the frequency). The temperature change affects the phase shift of the first and second surface waves φ. 高 and φ 低 The influence ratio is the same (Δφ) 低 / Δφ 高 =f 低 / f 高 Therefore, the formula for calculating the phase difference is: Δφ = φ 40 -kφ 20 This offsets the linear phase shift caused by temperature changes, where k is determined experimentally (k≈f). 高 / f 低 For example, when using surface ultrasound at 40 kHz and 20 kHz, the extracted phases are φ, respectively. 40 and φ 20 Construct the formula for calculating the phase difference: Δφ = φ 40 -2φ 20 .

[0066] Step S324: If the phase difference is greater than the preset warning phase value, it is determined whether water droplets are attached to the surface of the baffle 10.

[0067] In this embodiment, the frequency coefficient k satisfies the linear relationship of phase delay, which enables the calculation of phase difference value after eliminating temperature drift noise, and the use of warning phase value for rapid threshold judgment.

[0068] In some embodiments, the method further includes:

[0069] Step S330: Based on the amplitude ratio of the first response signal and the second response signal, determine whether oil stains are attached to the surface of the baffle 10.

[0070] Specifically, the oil film causes sound wave attenuation, satisfying the Stokes-Kirchhoff attenuation formula:

[0071] ;

[0072] Where: α represents the attenuation coefficient, ρ represents the medium density, v represents the wave propagation speed in the medium, η represents the dynamic viscosity (e.g., edible oil ≈ 0.08 Pa·s), and ω represents the angular frequency. Therefore, it can be seen that when surface ultrasonic waves pass through an oil film, the high-frequency amplitude attenuation is stronger. Using the low-frequency signal as a reference, the amplitude can be compared to determine whether there is oil residue adhering to the surface.

[0073] Specifically, the first amplitude A is extracted from the first response signal. 高 From the second response signal, the amplitude A is extracted. 低 ; Calculate the amplitude ratio: K=A 高 / A 低 If the amplitude ratio is less than the warning amplitude value, it is determined that oil stains are attached to the surface of baffle 10, and an oil stain cleaning reminder is output. Furthermore, based on the magnitude of the amplitude ratio K, the amount of oil stains is determined; the smaller K is, the more oil stains have accumulated, and the degree of oil stain accumulation can be indicated in the oil stain cleaning reminder. If the amplitude ratio is greater than or equal to the warning amplitude value, it is determined that no oil stains are attached to the surface of baffle 10.

[0074] In this embodiment, the oil stains on the surface of the baffle 10 are taken as the target object, and the oil stain adhesion is quickly determined by using the amplitude ratio of the first response signal and the second response signal.

[0075] In some embodiments, the method further includes:

[0076] Step S340: If the amplitude of the first response signal decreases by a preset percentage within a preset time interval, it is determined whether there is a crack on the surface of the baffle 10.

[0077] Specifically, the crack size (0.1-1 mm) is typically close to 1 / 100th of the wavelength of the higher-frequency first response signal, such as the wavelength of a 40 kHz sound wave (λ ≈ 75 mm), thus inducing Rayleigh scattering, causing a sharp drop in the amplitude of the 40 kHz sound wave, and a decrease in scattering intensity I. s satisfy:

[0078] ;

[0079] Where d represents the crack size and λ represents the wavelength. Therefore, if a sudden drop in the amplitude of the first response signal is detected, it indicates that there is a crack on the surface of the baffle 10.

[0080] In this embodiment, the crack on the surface of the baffle 10 is taken as the target object, and the judgment is quickly completed by utilizing the sudden drop in the amplitude of the first response signal.

[0081] This embodiment provides a smart range hood, such as Figure 4As shown, the intelligent range hood 100 is installed correspondingly to the cooktop 200 to promptly exhaust exhaust fumes generated during cooking. The intelligent range hood 100 includes a baffle 10 and an intelligent control module. The baffle 10 is made of glass or aluminum alloy. The baffle 10 is located at the exhaust port of the intelligent range hood 100.

[0082] Cooking typically generates a large amount of oil fumes and steam. As these fumes and steam are drawn into the range hood from the exhaust vent, water droplets and grease easily condense on the lower surface of the baffle 10. These droplets or grease can easily fall into the cookware, affecting the user experience, or condense on the baffle 10 (in cases where some operating areas are integrated onto the baffle 10), affecting user button interaction. The intelligent control module of this embodiment is used to implement the steps of the target object detection method on the baffle in any of the above method embodiments, thus solving the aforementioned problems.

[0083] The intelligent control module controls the ultrasonic transmitting module to propagate first and second surface waves of different frequencies on the surface of the baffle 10, and controls the ultrasonic receiving module to collect the corresponding first and second response signals. Based on the phase difference information of the first and second response signals, it determines whether water droplets are attached to the surface of the baffle 10. This solves the problem of difficulty in efficiently and accurately detecting condensation on the surface of the baffle 10 in the prior art. It can judge the condensation situation in real time through surface ultrasonic waves, improve the sensitivity and accuracy of inspection, is applicable to a variety of scenarios, and ensures the reliability of detection.

[0084] In some embodiments, the intelligent control module is further configured to calculate the fluctuation and peak characteristics of the phase difference within a preset time window. If the fluctuation characteristic is less than a first threshold, the peak characteristic is less than a second threshold, and the phase difference is greater than a preset warning phase value, then the working environment of the intelligent range hood 100 is determined to be a steaming / cooking environment. If the fluctuation characteristic is greater than or equal to the first threshold and the peak characteristic is greater than or equal to the second threshold, then the working environment of the intelligent range hood 100 is determined to be a stir-frying environment.

[0085] Specifically, by analyzing the fluctuation amplitude and frequency characteristics of the phase difference Δφ in the time domain, and combining this with the differences in the physical properties of water vapor and cooking fumes, a seamless recognition of cooking modes can be achieved. For example, in a steaming or boiling environment, a large amount of water vapor is continuously generated, resulting in consistently high humidity and minimal fluctuations in area 10 of the baffle (stable release of water vapor), with Δφ remaining consistently high (consistently greater than, for example, 0.35 rad) and fluctuating gently (fluctuation amplitude less than 0.2 rad). In a stir-frying environment, the generation of cooking fumes is explosive (e.g., a large amount of cooking fumes are generated the instantaneously when adding ingredients), with less water vapor and accompanying oil mist, resulting in pulsed fluctuations in Δφ (a momentary spike in Δφ value occurs with each cooking action, with a single fluctuation amplitude ≥, for example, 0.2 rad, and a frequency ≥, for example, 3 times / minute).

[0086] The fluctuation characteristics can be calculated based on the standard deviation of the phase difference Δφ within a preset time window T to reflect the fluctuation intensity. The calculation formula is as follows:

[0087] ;

[0088] Where, Δφ i Δφ represents the phase difference at time i within the time window T. m The average phase difference within a time window T is expressed by the following formula:

[0089] ;

[0090] Here, Δφ(t) represents the phase difference as a function of time.

[0091] Peak characteristics can be calculated based on the number of peak values ​​of phase difference Δφ within a time window T, reflecting the fluctuation frequency.

[0092] The peak detection algorithm is as follows: Within a time window T (example: T = 1 minute), count the instantaneous pulse count of Δφ. A complete pulse waveform is formed when Δφ rises above a threshold θth (e.g., 0.2 rad) and subsequently decreases. The specific peak counting method is as follows: Step 1: Perform a moving average filter on Δφ(t) to eliminate high-frequency noise; Step 2: A fixed threshold θth can be set, or a dynamic threshold mechanism is recommended: θth = μ + α × σ (where μ is the mean, σ is the standard deviation, and α is 1.0–1.5); Step 3: Detect continuous time periods where Δφ > θth, and record each independent spike as one peak (to avoid false positives due to noise).

[0093] In this embodiment, time series fluctuation analysis and statistical feature extraction are used to accurately distinguish between steaming and frying modes.

[0094] In some of these embodiments, such as Figure 5 As shown, the surface of the baffle 10 is provided with a heating layer 12 and a hydrophobic layer 13.

[0095] Specifically, the baffle 10 includes a flat substrate 11, a heating layer 12, and a hydrophobic layer 13. The flat substrate 11 is made of glass or aluminum alloy; the heating layer 12 and the hydrophobic layer 13 are sequentially disposed on one side surface of the flat substrate 11. The heating layer 12 is a heating film or heating wire, such as a nickel-chromium alloy wire. The heating layer 12 can be deposited on the surface of the flat substrate 11 using a deposition process or applied to the surface of the flat substrate 11. The heating layer 12 can cover the entire surface of the flat substrate 11 or be disposed in sections on the surface of the flat substrate 11. The hydrophobic layer 13 is a nano-hydrophobic coating covering the surface of the baffle 10, which serves as insulation. The overall thickness of the heating layer 12 and the hydrophobic layer 13 is very thin, less than 0.1 mm, while acoustic energy is generally concentrated at a depth of 0.5-1.2 mm on the surface of the baffle 10, so surface waves can propagate and be detected normally.

[0096] The heating layer 12 is connected to the intelligent control module; the intelligent control module is also used to control the heating layer 12 to generate heat in the steaming environment.

[0097] In this embodiment, the additional auxiliary heating of the baffle surface accelerates the evaporation of the water film and water droplets, and also reduces the temperature difference between the baffle surface and the environment, preventing water vapor from condensing into water droplets.

[0098] In some embodiments, the smart range hood further includes a fan drive module; the fan drive module is used to drive the fan to work; the smart control module is also used to adjust the working level of the fan drive module based on the phase difference information or amplitude ratio of the first response signal and the second response signal.

[0099] In this embodiment, based on phase difference information or amplitude, it is possible to predict whether condensate and oil will be generated, thereby adjusting the fan speed in advance, increasing the air volume in time to discharge water vapor and oil fumes, or adaptively reducing the air volume to reduce energy consumption and noise.

[0100] The present embodiment will now be described and illustrated through preferred embodiments.

[0101] In a preferred embodiment, a smart range hood is provided, such as... Figure 4 and Figure 5 As shown, it includes: baffle 10, fan drive module and intelligent control module.

[0102] A baffle 10 is installed at the exhaust port of the intelligent range hood 100. A heating layer 12 and a hydrophobic layer 13 are provided on the surface of the baffle 10. An ultrasonic transmitter 20 and an ultrasonic receiver 30 are respectively installed on both sides of the baffle 10; two pairs of ultrasonic transmitters 20 and ultrasonic receivers 30 are installed on the baffle 10, and the lines connecting the positions of the two pairs of ultrasonic transmitters 20 and ultrasonic receivers 30 intersect. The ultrasonic transmitters 20 are used to emit a first surface wave and a second surface wave; the first and second surface waves propagate on the surface of the baffle 10; the frequency of the first surface wave is greater than the frequency of the second surface wave; the ultrasonic receivers 30 are used to output a first response signal based on the first surface wave and a second response signal based on the second surface wave.

[0103] The intelligent control module is used to execute the detection method for the target object on the baffle, such as... Figure 6 As shown:

[0104] S1. After powering on, determine whether intelligent detection is activated. If not, enter normal working mode; if activated, control the ultrasonic transmitter to emit surface ultrasonic waves, which include a first surface wave and a second surface wave. The frequency of the first surface wave is 40kHz, and the frequency of the second surface wave is 20kHz.

[0105] S2. Obtain response signals from the ultrasonic receiver 30 in real time. The response signals include a first response signal and a second response signal.

[0106] S3. Extract the first phase from the first response signal; extract the second phase from the second response signal.

[0107] S4. Based on the second phase and the preset frequency coefficient 2, the reference phase is calculated; based on the first phase and the reference phase, the phase difference Δφ is calculated.

[0108] S5. Determine whether the phase difference Δφ is greater than the preset first warning phase value of 0.35 rad.

[0109] S6. If the phase difference is greater than the preset first warning phase value, determine whether there are water droplets on the surface of the baffle 10, and determine whether the phase difference is greater than the preset second warning phase value of 0.6 rad.

[0110] S7. If the phase difference is greater than the preset second warning phase value, then control the heating layer 12 to start.

[0111] S8. If the phase difference is less than or equal to the preset second warning phase value, the fan drive module is controlled to increase the speed by 2 gears or the highest gear. After 15 seconds, the phase difference Δφ is checked again to see if it is less than or equal to the preset first warning phase value. If it is, the fan drive module is restored to its original gear and the monitoring of the response signal is resumed. Otherwise, the process returns to step S5 and repeats steps S5 to S8.

[0112] S9. If the phase difference is less than or equal to the first warning phase value, the first amplitude is extracted from the first response signal; the second amplitude is extracted from the second response signal; the amplitude ratio is calculated; and it is determined whether the amplitude ratio is less than the warning amplitude value of 0.7.

[0113] S10. If the amplitude ratio is less than the warning amplitude value, it is determined that oil stains are attached to the surface of the baffle 10, and an oil stain cleaning reminder is output.

[0114] S11. If the amplitude ratio is greater than or equal to the warning amplitude value, determine whether the first amplitude has suddenly dropped by 70%. If so, output a crack warning; otherwise, return to continue monitoring.

[0115] S12. Calculate fluctuation characteristics and peak characteristics based on continuous phase difference data.

[0116] S13. If the fluctuation characteristic is less than the first threshold, the peak characteristic is less than the second threshold, and the phase difference is greater than the preset warning phase value, then the working environment of the intelligent range hood 100 is determined to be a steaming environment, and the heating layer 12 is controlled to heat up to 40°C.

[0117] S14. If the fluctuation characteristic is greater than or equal to the first threshold and the peak characteristic is greater than or equal to the second threshold, then the working environment of the intelligent range hood 100 is determined to be a stir-fry environment, and the fan drive module is controlled to speed up by 1 level.

[0118] In this preferred embodiment, the presence of water droplets, oil stains, cracks, or other target objects on the baffle 10 can be detected, facilitating real-time suppression of target object adhesion or timely alerts, thereby enhancing scene adaptability through intelligent control and providing a better cooking experience.

[0119] 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.

[0120] 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.

[0121] Furthermore, in conjunction with the target object detection method on the baffle provided in the above embodiments, this embodiment can also provide a storage medium for implementation. The storage medium stores a computer program; when executed by a processor, the computer program implements any of the target object detection methods on the baffle in the above embodiments.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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 method for detecting a target object on a baffle, characterized in that, An ultrasonic transmitter and an ultrasonic receiver are respectively installed on both sides of the baffle. The ultrasonic transmitter is used to emit a first surface wave and a second surface wave; the first surface wave and the second surface wave propagate on the surface of the baffle; the frequency of the first surface wave is greater than the frequency of the second surface wave. The ultrasonic receiver is used to output a first response signal based on the first surface wave and to output a second response signal based on the second surface wave. The method includes: Acquire the first response signal and the second response signal; Based on the phase difference information between the first response signal and the second response signal, it is determined whether water droplets are attached to the surface of the baffle.

2. The method for detecting a target object on a baffle according to claim 1, characterized in that, The baffle is provided with two pairs of ultrasonic transmitters and ultrasonic receivers, and the lines connecting the positions of the two pairs of ultrasonic transmitters and ultrasonic receivers intersect.

3. The method for detecting a target object on a baffle according to claim 1, characterized in that, The frequency of the first surface wave is 40 kHz, and the frequency of the second surface wave is 20 kHz.

4. The method for detecting a target object on a baffle according to any one of claims 1 to 3, characterized in that, Based on the phase difference information between the first response signal and the second response signal, determining whether water droplets are attached to the surface of the baffle includes: The first phase is extracted from the first response signal; A second phase is extracted from the second response signal; a reference phase is calculated based on the second phase and a preset frequency coefficient; the frequency coefficient is obtained based on the frequency ratio of the first surface wave and the second surface wave. The phase difference is calculated based on the first phase and the reference phase; If the phase difference is greater than the preset warning phase value, it is determined whether water droplets are attached to the surface of the baffle.

5. The method for detecting a target object on a baffle according to claim 4, characterized in that, The method further includes: Based on the amplitude ratio of the first response signal and the second response signal, it is determined whether the surface of the baffle is covered with oil.

6. The method for detecting a target object on a baffle according to claim 4, characterized in that, The method further includes: If the amplitude of the first response signal decreases by a preset percentage within a preset time interval, it is determined whether there is a crack on the surface of the baffle.

7. A smart range hood, characterized in that, include: baffle and intelligent control module; The baffle is installed at the exhaust port of the smart range hood; The intelligent control module is used to implement the steps of the method according to any one of claims 1 to 6.

8. The intelligent range hood according to claim 7, characterized in that, The intelligent control module is also used to calculate the fluctuation characteristics and peak characteristics of the phase difference within a preset time window; If the fluctuation characteristic is less than the first threshold, the peak value is less than the second threshold, and the phase difference is greater than the preset warning phase value, then the working environment of the smart range hood is determined to be a steaming environment. If the fluctuation characteristic is greater than or equal to the first threshold and the peak value is greater than or equal to the second threshold, then the working environment of the smart range hood is determined to be a stir-frying environment.

9. The intelligent range hood according to claim 8, characterized in that, The surface of the baffle is provided with a heating layer and a hydrophobic layer; the heating layer is connected to the intelligent control module. The intelligent control module is also used to control the heating layer to generate heat during the steaming or cooking process.

10. The intelligent range hood according to claim 7, characterized in that, The intelligent range hood also includes a fan drive module; the fan drive module is used to drive the fan to work. The intelligent control module is also used to adjust the operating level of the fan drive module based on the phase difference information or amplitude ratio of the first response signal and the second response signal.

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