Cooking recognition method based on material of pot and intelligent electric appliance

Abstract

The application relates to a cooking recognition method based on a material of a pot and an intelligent electric appliance, and is applied to the field of intelligent electric appliances. A piezoelectric sensor is arranged in the intelligent electric appliance in linkage with the pot. The method comprises the following steps: when the pot is in a cooking state, a collision sound wave signal of the pot collected by the piezoelectric sensor is received; the collision sound wave signal is generated by the collision between the pot and a cooking tool during cooking of a user; based on the collision sound wave signal, a current attenuation time constant corresponding to the pot is determined; the current attenuation time constant is used for representing the speed at which the collision sound wave signal disappears after the current pot collides; according to an initial attenuation time constant of the pot, the current attenuation time constant is compensated to obtain a compensated attenuation time constant; the initial attenuation time constant is related to sound wave characteristics corresponding to pots of different material types; and based on the compensated attenuation time constant, a cooking mode of the pot is recognized. Through the application, the accuracy of cooking mode recognition is improved.

Description

Technical Field

[0001] This application relates to the field of smart appliances, and in particular to a cooking recognition method based on cookware material and a smart appliance. Background Technology

[0002] As people's living standards improve and technologies such as the internet, big data, artificial intelligence, and voice interaction become more widespread, traditional lifestyles are gradually changing, and the use of home appliances is increasingly moving towards intelligentization. While bringing more convenience to users, the functions of various home appliances are also becoming more diversified.

[0003] Smart range hoods / smart gas stoves are essential appliances for daily cooking, designed to improve the user's cooking experience by recognizing the user's current cooking status and adjusting the range hood's fan speed and the gas stove's heat accordingly. Currently, smart appliances typically use cameras to recognize the user's cooking status. However, camera recognition can be affected by user movements or cooking fumes, leading to lower accuracy in identifying cooking modes.

[0004] There is currently no effective solution to the problem of low accuracy in recognizing cooking modes in existing smart range hoods. Summary of the Invention

[0005] This embodiment provides a cooking recognition method and smart appliance based on cookware material to solve the problem of low accuracy in cooking mode recognition in existing smart range hoods.

[0006] Firstly, this embodiment provides a cooking recognition method based on cookware material, applied to a smart appliance linked to the cookware, wherein the smart appliance is equipped with a piezoelectric sensor; the method includes:

[0007] When the cookware is in the cooking state, it receives the impact sound wave signal of the cookware collected by the piezoelectric sensor; the impact sound wave signal is generated by the collision between the cookware and the cooking utensils when the user is cooking;

[0008] Based on the collision sound wave signal, the current decay time constant corresponding to the cookware is determined; the current decay time constant is used to characterize the speed at which the collision sound wave signal disappears after the current cookware is collided.

[0009] The current attenuation time constant is compensated based on the initial attenuation time constant of the cookware to obtain the compensated attenuation time constant; the initial attenuation time constant is related to the acoustic characteristics of cookware of different material types and is used to characterize the speed at which the acoustic signal generated by the cookware disappears after a collision when the cookware is empty.

[0010] The cooking mode of the cookware is identified based on the compensated decay time constant.

[0011] In some embodiments, determining the current decay time constant corresponding to the cookware based on the collision acoustic signal includes:

[0012] Obtain the time-domain voltage value in the collision acoustic wave signal, and determine the envelope signal corresponding to the time-domain voltage value;

[0013] Obtain the signal amplitude and collision time from the collision acoustic signal;

[0014] Based on the preset damped oscillation model, the correlation between the envelope signal corresponding to the time-domain voltage value and the signal amplitude and collision time is used to calculate the current decay time constant of the cookware.

[0015] In some embodiments, the method further includes:

[0016] When the cookware is in an empty state, the empty pot collision signal of the cookware is collected by a piezoelectric sensor; the empty pot collision signal of the cookware is generated by the collision between the cookware and the cooking utensil.

[0017] If the empty pot collision signal is determined to be a valid signal, the preset initial decay time constant of the pot is determined based on the empty pot collision signal.

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

[0019] Receive multiple empty pot collision signals from the cookware collected by the piezoelectric sensor;

[0020] Obtain the signal frequency range and signal amplitude voltage of the multiple empty pot collision signals;

[0021] A valid empty pot collision signal is defined as one whose frequency range conforms to a preset frequency range and whose amplitude voltage exceeds a preset voltage value.

[0022] If the number of valid empty pot collision signals exceeds a preset threshold, the initial decay time constant of the pot is determined based on the valid empty pot collision signals.

[0023] In some embodiments, the step of compensating the current decay time constant based on the initial decay time constant of the cookware to obtain a compensated decay time constant includes:

[0024] The material type of the cookware is determined based on the initial decay time constant of the cookware.

[0025] Based on the material type, a compensation coefficient for the cookware is determined; the compensation coefficient is used to compensate for the sound wave attenuation of materials with different densities.

[0026] The current attenuation time constant is compensated based on the compensation coefficient and the initial attenuation time constant to obtain the compensated attenuation time constant.

[0027] In some embodiments, identifying the cooking mode of the cookware based on the compensated decay time constant includes:

[0028] The compensated decay time constant is compared with a preset standard cooking threshold to obtain a comparison result; the preset standard cooking threshold is the experimental calibration value of the decay time constant of the cookware under different cooking modes.

[0029] Based on the comparison results, the cooking mode of the cookware is determined.

[0030] Secondly, this embodiment provides a smart appliance that uses the cooking recognition method based on cookware material as described in any one of the first aspects to identify the current cooking mode of the cookware; the smart appliance is one of a range hood and a gas stove.

[0031] In some embodiments, the smart appliance is also used to control the range hood to increase the fan speed and the gas stove to increase the firepower when it is detected that the current cooking mode of the cookware is stir-fry mode.

[0032] Thirdly, this embodiment provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the cooking recognition method based on cookware material described in the first aspect above.

[0033] Fourthly, this embodiment provides a storage medium storing a computer program that, when executed by a processor, implements the cooking recognition method based on cookware material described in the first aspect above.

[0034] Compared with related technologies, the cooking recognition method and smart appliance based on cookware material provided in this embodiment address the issue that the collision sound wave signals generated by cookware and cooking tools differ under different cooking conditions. By acquiring the collision sound wave signals generated by cookware and cooking tools during the user's cooking process, the current decay time constant corresponding to the current collision signal is determined. Combining the different material types of cookware, the initial decay time constant determined by tapping an empty pot is used to compensate for the current decay time constant of the cookware, thus achieving compensation for the collision sound wave signals of cookware of different material types. Based on the calibrated decay time constant obtained after compensation, the current user's cooking state is identified, thereby solving the problem of cooking recognition errors caused by differences in cookware material types.

[0035] 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

[0036] 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:

[0037] Figure 1 This is a hardware structure block diagram of the terminal for the cooking recognition method based on cookware material provided in the embodiments of this application;

[0038] Figure 2 This is a flowchart of a cooking identification method based on cookware material provided in an embodiment of this application;

[0039] Figure 3 This is a schematic diagram of a user cooking scenario provided in this specific embodiment;

[0040] Figure 4 This is a flowchart of the cooking recognition process provided in this specific embodiment;

[0041] Figure 5 This is a flowchart of the material determination and relative value compensation method provided in this specific embodiment;

[0042] Figure 6 This is a flowchart of the method for obtaining the initial decay time constant of a cookware provided in an embodiment of this application;

[0043] Figure 7 This is a flowchart of a method for determining the attenuation constant using acoustic signals, provided in an embodiment of this application.

[0044] Figure 8 This is a flowchart of a cooking recognition method based on cookware material identification and sound wave attenuation damping constant compensation provided in this specific embodiment.

[0045] Reference numerals: 10, intelligent range hood; 11, smoke hood; 12, piezoelectric sensor; 20, cookware; 102, processor; 104, memory; 106, transmission device; 108, input / output device. Detailed Implementation

[0046] 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.

[0047] 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.

[0048] 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 cooking recognition method based on cookware material provided in this application 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 1The 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.

[0049] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the cooking recognition method based on cookware material in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program 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.

[0050] 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.

[0051] Existing smart appliances, such as smart range hoods, do not effectively address the issue of detecting cooking processes during the user's cooking process. For example, they lack the ability to detect processes that generate large amounts of smoke, such as stir-frying or adding food to the pan, or processes that generate varying levels of smoke, such as covering the pot or switching from stir-frying to steaming. Furthermore, they lack the ability to detect the user's cooking status by monitoring the frequency and amplitude of hand movements and automatically adjust the range hood's fan speed or setting. Currently, users often need to manually determine the current cooking mode and switch the range hood's fan speed and gas stove's heat level, or use a camera to identify the user's cooking mode. However, camera recognition is susceptible to obstruction by user movements or cooking fumes, resulting in low accuracy in identifying the cooking mode.

[0052] To address the aforementioned issues, this embodiment provides a cooking mode recognition method based on cookware material. By combining the user's initial tapping learning of the empty cookware, a mapping relationship is established between "calibration value - cookware material type - compensation coefficient," thereby eliminating the problem of cooking mode recognition errors caused by differences in cookware material type and improving the accuracy of the current cookware's cooking mode.

[0053] Specifically, Figure 2 This is a flowchart of a cooking identification method based on cookware material provided in an embodiment of this application, such as... Figure 2 As shown, this method is applied to smart appliances that are linked with cookware, and the smart appliance is equipped with a piezoelectric sensor; the process includes the following steps:

[0054] Step S210: When the cookware is in the cooking state, receive the collision sound wave signal of the cookware collected by the piezoelectric sensor; the collision sound wave signal is generated by the collision between the cookware and the cooking utensils when the user is cooking.

[0055] During the cooking process, different cookware materials correspond to different cooking modes. To improve the user's cooking experience, the current cooking mode of the cookware needs to be determined based on the collision sound wave signals generated by the collision between different types of cookware and cooking tools during the cooking process.

[0056] The collision sound wave signal is collected by a piezoelectric sensor. Preferably, lead zirconate titanate piezoelectric ceramic (PZT-5H) is used. The piezoelectric sensor is installed on the non-airflow impact surface of the smart appliance linked with the cookware. A silicone waterproof layer is covered on the outside of the piezoelectric sensor to achieve the effect of withstanding high temperature of 150℃.

[0057] Step S220: Based on the collision sound wave signal, determine the current decay time constant corresponding to the cookware; the current decay time constant is used to characterize the speed at which the collision sound wave signal disappears after the current cookware is collided.

[0058] Furthermore, based on the collision acoustic signal, determining the current decay time constant of the cookware includes: obtaining the time-domain voltage value in the collision acoustic signal and determining the envelope signal corresponding to the time-domain voltage value; obtaining the signal amplitude and collision time in the collision acoustic signal; and calculating the current decay time constant of the cookware according to the correlation between the envelope signal corresponding to the time-domain voltage value and the signal amplitude and collision time in the preset damped oscillation model.

[0059] After acquiring the collision sound wave signal, it is necessary to obtain the current decay time constant of the cookware under the current cooking mode. Then, based on the current decay time constant, a material judgment and relative value compensation process is performed to determine the current cooking mode of the cookware. The preset damped oscillation model is a model used to represent time-domain voltage values.

[0060] To determine the current decay time constant of the cookware corresponding to the collision sound wave signal, the collision sound wave signal is amplified and bandpass filtered at 3-5 kHz. Then, feature extraction is performed on the processed collision sound wave signal to extract the envelope corresponding to the time-domain voltage value in the current collision sound wave signal, thus obtaining the envelope signal. The envelope signal containing the envelope is then processed and linearly fitted to obtain the current decay time constant corresponding to the collision sound wave signal.

[0061] Step S230: Based on the initial attenuation time constant of the cookware, compensate the current attenuation time constant to obtain the compensated attenuation time constant; the initial attenuation time constant is related to the acoustic characteristics of cookware of different material types.

[0062] Because different types of cookware produce sound waves that decay at different rates, the current decay time constant used to characterize the decay rate is not accurate enough. Therefore, after obtaining the collision sound wave signal generated by the user cooking in the cookware using cooking tools under the current cooking mode, and performing signal processing on the collision sound wave signal based on the time-domain voltage signal including the time-domain voltage value to obtain the current decay time constant of the cookware, it is necessary to further compensate for the current decay time constant to improve the accuracy of determining the cooking mode of the cookware based on the current decay time constant.

[0063] The initial decay time constant is used to characterize the speed at which the sound wave signal generated after the pot is struck in an empty pot state disappears.

[0064] The initial decay time constant of the cookware is determined by tapping an empty pot. Specifically, when the cookware is in an empty pot state, the empty pot collision signal of the cookware is collected by a piezoelectric sensor. The empty pot collision signal of the cookware is generated by the collision between the cookware and the cooking utensil. If the empty pot collision signal is determined to be a valid signal, the initial decay time constant of the cookware is determined based on the empty pot collision signal.

[0065] The validity of the empty pot collision signal is determined by checking whether its frequency is within a preset range and whether its voltage value meets a preset range. If the signal is deemed invalid, the user is prompted to tap the pot again.

[0066] In some embodiments, the current attenuation time constant is compensated based on the initial attenuation time constant of the cookware to obtain a compensated attenuation time constant, including: determining the material type of the cookware based on the initial attenuation time constant of the cookware; determining the compensation coefficient of the cookware based on the material type; the compensation coefficient is used to compensate for the sound wave attenuation of materials with different densities; and compensating the current attenuation time constant based on the compensation coefficient and the initial attenuation time constant to obtain a compensated attenuation time constant.

[0067] This is mainly achieved by compensating for the current decay time constant based on the initial decay time constant of the cookware, using a preset correction formula. The formula can be expressed as:

[0068] ;

[0069] in, Indicates the current decay time constant; Indicates the initial decay time constant; This represents the attenuation time constant after compensation; represents the laboratory calibration value; k represents the compensation coefficient for the cookware determined based on the material type.

[0070] By using the above method of tapping an empty pot, the initial decay time constant and the corresponding k value for different types of cookware can be obtained, as shown in Table 1.

[0071] Table 1 Compensation coefficients for different cookware types

[0072]

[0073] S240 identifies the cooking mode of the cookware based on the compensated decay time constant.

[0074] Specifically, the method includes: comparing the compensated decay time constant with a preset standard cooking threshold to obtain a comparison result; the preset standard cooking threshold is the experimental calibration value of the decay time constant of the cookware under different cooking modes; and determining the cooking mode of the cookware based on the comparison result.

[0075] Through the above steps, based on the different collision sound wave signals generated by pots and cooking tools under different cooking states, the system obtains the collision sound wave signals generated by pots and cooking tools during the user's cooking process, determines the current decay time constant corresponding to the current collision signal, and compensates for the current decay time constant of the pot by using the initial decay time constant determined by tapping an empty pot, combined with the different material types of pots. This achieves compensation for the collision sound wave signals of pots of different material types. Then, based on the calibrated decay time constant obtained after compensation, the system identifies the current user's cooking state, thus solving the problem of cooking recognition errors caused by differences in pot material types.

[0076] This embodiment also provides a smart appliance that uses the cooking recognition method based on cookware material as described above to identify the current cooking mode of the cookware; the smart appliance is either a range hood or a gas stove.

[0077] In some embodiments, the smart appliance is also used to control the range hood to increase the fan speed and the gas stove to increase the firepower when it is detected that the current cooking mode of the cookware is stir-fry mode.

[0078] The present embodiment will be described and explained below through specific examples.

[0079] Taking smart appliances as an example, smart range hoods Figure 3 This is a schematic diagram of a user cooking scenario provided in this specific embodiment. (Reference) Figure 3 A piezoelectric sensor 12 is installed on the inner side of the smoke collection hood 11 of the smart range hood 10. When the user is cooking in the pot 20, the piezoelectric sensor 12 collects the collision sound wave signal generated by the pot 20 and the cooking tool, as well as the collision signal of the empty pot.

[0080] As a preferred embodiment, refer to Figure 4 , Figure 4 This is a flowchart of the cooking recognition process provided in this specific embodiment. Taking a spatula as an example, during the user's cooking process, the spatula and the inner wall of the pot will collide. The sound waves generated by the collision are collected by a piezoelectric sensor to obtain the collision sound wave signal. Then, the collision sound wave signal is amplified and subjected to a 3-5KHz bandpass filter to obtain the processed collision sound wave signal.

[0081] The feature extraction module extracts the envelope from the processed collision acoustic signal, and then calculates the original detection decay time constant, i.e., the current decay time constant, based on the envelope signal corresponding to the envelope. Then, through material judgment and relative value compensation processes, the following steps are performed: Converted to calibrated That is, the attenuation time constant after compensation.

[0082] in, Figure 5 This is a flowchart of the material determination and relative value compensation method provided in this specific embodiment, see reference. Figure 5 When it is necessary to adjust the current decay time constant When performing compensation, the material calibration process is initiated, using the method of obtaining the current decay time constant. The method is to obtain the reference mean, i.e., the initial decay time constant. Based on Table 1 above, the cookware material type corresponding to the initial attenuation time constant τ0 and the corresponding compensation coefficient k are determined. Finally, the compensated attenuation time constant is calculated based on the compensation coefficient k. .

[0083] The cooking state of the cookware (i.e., the cooking mode in the aforementioned embodiment) is determined by the compensated decay time constant, and the fan speed of the range hood is controlled by the fan control unit.

[0084] As a preferred embodiment, when the cookware is made of stainless steel, its compensation coefficient k is 1.2, and the measured initial attenuation time constant is... The value is 70ms; when detecting the current decay time constant. At 55ms, the compensated decay time constant of the cookware can be obtained. The time constant is 32ms. Since the preset standard cooking threshold for stir-fry mode is 50ms, the current compensated decay time constant τ is... 校准值 The time constant is 32ms, which is less than 50ms, satisfying the decay time constant of the stir-fry mode. Therefore, the cooking mode of the current cookware is determined to be stir-fry mode, and the range hood fan speed and gas stove firepower are increased accordingly. If not calibrated, judging from the current decay time constant of 55ms as greater than 50ms would be mistakenly identified as steaming or boiling mode.

[0085] Since the initial decay time constant is a calibration value and needs to be accurate, multiple data acquisitions and calculations are required when obtaining the initial decay time constant. Figure 6 This is a flowchart illustrating the method for obtaining the initial decay time constant of a cookware according to an embodiment of this application. (Refer to...) Figure 6 When the initial decay time constant needs to be collected, the calibration button needs to be pressed and held for 3 seconds to clear the buffer currently used to store the initial decay time constant. Then, a loop count is performed from i=1 to 10. After a collision between the pot and cooking utensil is detected, the collision signal generated by the collision between the pot and cooking utensil in an empty pot state is collected by a piezoelectric sensor, which is the empty pot collision signal in the aforementioned embodiment. The validity of the empty pot collision signal is then detected based on the frequency range and voltage. If the frequency range of the empty pot collision signal meets the condition of [3KHz, 5KHz] and the corresponding voltage value is greater than 0.5V, the current empty pot collision signal is determined to be a valid signal. If either the frequency range or the voltage value of the empty pot collision signal does not meet the above validity detection conditions, the current empty pot collision signal is determined to be an invalid signal, prompting the user to tap again.

[0086] After determining that the current empty pot collision signal is valid, the current empty pot collision signal is stored. After determining that the number of taps has reached 10, the maximum and minimum values ​​among the multiple empty pot collision signals are discarded, and the average value of the remaining empty pot collision signals is calculated to obtain the initial decay time constant. The data is then written to the storage area to complete the data collection.

[0087] Preferably, Figure 7 This is a flowchart of a method for determining an attenuation constant using an acoustic signal, provided in an embodiment of this application. This method can be applied to determining the current attenuation time constant using a collision acoustic signal, or to determining the initial attenuation time constant using an empty pot collision signal.

[0088] Since the sound wave signal generated by the collision of a spatula and a pot conforms to the physical law of damped simple harmonic oscillation, the voltage corresponding to the output signal of the piezoelectric sensor can be described by a damped oscillation model:

[0089] ;

[0090] Where V(t) represents the time-domain voltage signal detected by the sensor; V0 represents the signal amplitude; and t represents time (ms). f0 represents the decay time constant, which is calculated by envelope fitting; f0 represents the dominant vibration frequency (typical value 4kHz), which is obtained by fast Fourier transform analysis of the collision signal.

[0091] refer to Figure 7 After obtaining the original signal V(t), the envelope is obtained by taking the absolute value of the original signal V(t), that is:

[0092] .

[0093] Where V0 represents the signal amplitude; t represents time (ms); This represents the decay time constant.

[0094] Subsequently, a logarithmic linearization operation is performed. This transforms the exponential decay into an intuitive linear relationship by taking the natural logarithm of the envelope, which can be expressed by the formula:

[0095] ;

[0096] Based on this, let:

[0097] ;

[0098] The linear equation can be obtained:

[0099] ;

[0100] By performing least-squares fitting on discrete sampling points over a period of time, the slope k in the linear equation can be expressed as:

[0101] ;

[0102] Where n represents the number of sampling points, for example, setting a fixed window of 100 points for sampling; Represents the coordinates of a point in time. This represents the logarithmic envelope value.

[0103] After obtaining the slope k value, through Calculated Among them, due to e -1 ≈0.368, therefore This indicates the time required for the amplitude to decay to 36.8% of its initial value.

[0104] For example, suppose the measurement data is: The envelope is obtained by taking the absolute value of the collision signal: .

[0105] Then the logarithmic envelope is calculated: ;

[0106] We can obtain: ;

[0107] The value of k is calculated to be 0.04, thus obtaining the attenuation constant. It is -1 / 0.04, which is 25ms.

[0108] Therefore, by combining the above solutions, a cooking recognition solution based on cookware material identification and sound wave attenuation damping constant compensation can be achieved. Figure 8 This is a flowchart of the cooking recognition method based on cookware material identification and sound wave attenuation damping constant compensation provided in this specific embodiment. (Reference) Figure 8 When the user is cooking, the smart range hood is turned on, and a piezoelectric sensor installed on the hood continuously detects sound wave signals; after detecting a 3-5kHz pulse, it calculates the corresponding... The value is calculated based on the compensation coefficient k, the initial decay time constant τ0, and the laboratory calibration value obtained from the storage area. Calculations yielded In judgment If the count of the current stir-fry event does not exceed the preset attenuation threshold, such as 50ms, increment the count of the current stir-fry event by 1 until the count of the current stir-fry event exceeds 5 within 10 seconds. Then, confirm that the cooking state of the current pot is the stir-fry state, control the fan control unit to start the strong wind mode and maintain strong wind for 120s, and continuously detect the sound wave signal.

[0109] In judgment If the decay threshold is exceeded, for example, 50ms, continue the judgment. Does it exceed a preset decay threshold, such as 200ms? (This is the determination process.) If the attenuation threshold is exceeded, for example, 200ms, it is determined that the current event is a cooking event, and the fan control unit is controlled to switch to medium mode and the count value is reset, while the sound wave signal is continuously detected.

[0110] In practical applications, when <50ms indicates a hard metal-on-metal collision, corresponding to typical stir-frying and tossing, requiring an increase in the airflow of the smart range hood / the firepower level of the gas stove; when 50ms < A time frame <200ms indicates an atypical action, and the cooking mode recognition will not be triggered in this case. If the time is >200ms, it means that the pot lid is closed / steam is released, and the airflow of the smart range hood / the firepower level of the gas stove needs to be reduced.

[0111] It should be noted that the steps shown in the above process or in the flowcharts in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions.

[0112] This embodiment also provides a cooking recognition device based on the cookware material. This device is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. The terms "module," "unit," "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.

[0113] 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.

[0114] This embodiment also provides an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0115] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0116] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0117] S1, when the cookware is in the cooking state, receives the collision sound wave signal of the cookware collected by the piezoelectric sensor; the collision sound wave signal is generated by the collision between the cookware and the cooking utensils when the user is cooking.

[0118] S2, Based on the collision sound wave signal, determine the current decay time constant corresponding to the cookware; the current decay time constant is used to characterize the speed at which the collision sound wave signal disappears after the current cookware is collided.

[0119] S3, based on the initial attenuation time constant of the cookware, compensate the current attenuation time constant to obtain the compensated attenuation time constant; the initial attenuation time constant is related to the acoustic characteristics corresponding to different types of cookware.

[0120] S4 identifies the cooking mode of the cookware based on the compensated decay time constant.

[0121] 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.

[0122] Furthermore, in conjunction with the cooking identification method based on cookware material 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 cooking identification methods based on cookware material in the above embodiments.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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 cooking identification method based on cookware material, characterized in that, The method is applied to a smart appliance that is linked with a cookware, wherein the smart appliance is equipped with a piezoelectric sensor; the method includes: When the cookware is in the cooking state, it receives the impact sound wave signal of the cookware collected by the piezoelectric sensor; the impact sound wave signal is generated by the collision between the cookware and the cooking utensils when the user is cooking; Based on the collision sound wave signal, the current decay time constant corresponding to the cookware is determined; the current decay time constant is used to characterize the speed at which the collision sound wave signal disappears after the current cookware is collided. The current attenuation time constant is compensated based on the initial attenuation time constant of the cookware to obtain the compensated attenuation time constant; the initial attenuation time constant is related to the acoustic characteristics of cookware of different material types and is used to characterize the speed at which the acoustic signal generated by the cookware disappears after a collision when the cookware is empty. The cooking mode of the cookware is identified based on the compensated decay time constant.

2. The cooking identification method based on cookware material according to claim 1, characterized in that, The step of determining the current decay time constant corresponding to the cookware based on the collision acoustic signal includes: Obtain the time-domain voltage value in the collision acoustic wave signal, and determine the envelope signal corresponding to the time-domain voltage value; Obtain the signal amplitude and collision time from the collision acoustic signal; Based on the preset damped oscillation model, the correlation between the envelope signal corresponding to the time-domain voltage value and the signal amplitude and collision time is used to calculate the current decay time constant of the cookware.

3. The cooking identification method based on cookware material according to any one of claims 1 or 2, characterized in that, The method further includes: When the cookware is in an empty state, the empty pot collision signal of the cookware is collected by a piezoelectric sensor; the empty pot collision signal of the cookware is generated by the collision between the cookware and the cooking utensil. If the empty pot collision signal is determined to be a valid signal, the preset initial decay time constant of the pot is determined based on the empty pot collision signal.

4. The cooking identification method based on cookware material according to claim 3, characterized in that, The method further includes: Receive multiple empty pot collision signals from the cookware collected by the piezoelectric sensor; Obtain the signal frequency range and signal amplitude voltage of the multiple empty pot collision signals; A valid empty pot collision signal is defined as one whose frequency range conforms to a preset frequency range and whose amplitude voltage exceeds a preset voltage value. If the number of valid empty pot collision signals exceeds a preset threshold, the initial decay time constant of the pot is determined based on the valid empty pot collision signals.

5. The cooking identification method based on cookware material according to claim 3, characterized in that, The step of compensating the current decay time constant based on the initial decay time constant of the cookware to obtain the compensated decay time constant includes: The material type of the cookware is determined based on the initial decay time constant of the cookware. Based on the material type, a compensation coefficient for the cookware is determined; the compensation coefficient is used to compensate for the sound wave attenuation of materials with different densities. The current attenuation time constant is compensated based on the compensation coefficient and the initial attenuation time constant to obtain the compensated attenuation time constant.

6. The cooking identification method based on cookware material according to claim 1, characterized in that, The step of identifying the cooking mode of the cookware based on the compensated decay time constant includes: The compensated decay time constant is compared with a preset standard cooking threshold to obtain a comparison result; the preset standard cooking threshold is the experimental calibration value of the decay time constant of the cookware under different cooking modes. Based on the comparison results, the cooking mode of the cookware is determined.

7. A smart appliance, characterized in that, The cooking recognition method based on cookware material, as described in any one of claims 1 to 6, is used to identify the current cooking mode of the cookware; the smart appliance is one of a range hood and a gas stove.

8. The intelligent electrical appliance according to claim 7, characterized in that, The smart appliance is also used to control the range hood to increase its fan speed and the gas stove to increase its heat output when it is detected that the cooking mode of the current cookware is stir-fry mode.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the cooking identification method based on cookware material as described in any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the cooking identification method based on cookware material as described in any one of claims 1 to 6.

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