A calibration method, apparatus and smart stove

Abstract

This disclosure relates to a calibration method, apparatus, and smart cooktop, applied to a sound wave sensing device or a cooktop including a sound wave sensing device. The calibration method includes: performing calibration detection processing based on a target sound wave transmission path including a target cooking container to obtain reference sound wave detection data corresponding to the target cooking container; and obtaining sound wave identification parameters corresponding to the target cooking container based on the reference sound wave detection data. Thus, personalized sound wave identification parameters are established for the target cooking container based on the reference sound wave detection data, which can accurately identify the cooking state of the target cooking container based on the sound wave identification parameters, thus helping to avoid safety hazards caused by overflow, dry burning, etc.

Description

Technical Field

[0001] This disclosure relates to the field of smart appliances, and more particularly to a calibration method, apparatus, and smart cooktop. Background Technology

[0002] With the rapid development of technology, home appliances are becoming increasingly intelligent in their use. Existing cooktop anti-overflow technologies typically rely on thermocouple temperature detection, optical sensors for foam overflow detection, or liquid level detection to identify overflow or dry burning conditions.

[0003] However, thermocouples have a delayed response and cannot provide effective warnings before the pot overflows. Optical sensors used to detect foam are easily contaminated by oil fumes and steam and become ineffective. Neither thermocouple detection nor optical detection can penetrate metal cookware to directly monitor changes in the physical state inside the pot. Liquid level sensors are highly dependent on the cookware. Summary of the Invention

[0004] To address the aforementioned technical problems, this disclosure proposes a calibration method, apparatus, and smart cooktop, particularly a sensing device for identifying the state of cookware through sound wave detection. By establishing sound wave recognition parameters corresponding to different cookware, it is possible to accurately determine the state of the cookware, such as calm, boiling, signs of overflow, or dry burning.

[0005] According to a first aspect of this disclosure, a calibration method is provided, applied to a sound wave sensing device or a cooktop including a sound wave sensing device; the sound wave sensing device includes a sound source component, a sound wave detection component, and an identification processing unit; the sound source component is used to provide a preset sound wave; the sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal; the received sound wave includes a sound wave formed by the preset sound wave being transmitted through a cooking container; and the identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and sound wave identification parameters corresponding to the cooking container. The calibration method includes: Based on the target acoustic wave transmission path including the target cooking container, calibration detection processing is performed to obtain reference acoustic wave detection data corresponding to the target cooking container. The reference acoustic wave detection data is obtained by the acoustic wave detection component detecting the target acoustic wave formed by the transmission of the detection acoustic wave through the target cooking container. The detection acoustic wave is provided by the sound source component. Based on the reference acoustic wave detection data, the acoustic wave recognition parameters corresponding to the target cooking container are obtained.

[0006] Optionally, obtaining the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the reference acoustic wave detection data, acoustic characteristic data corresponding to the target cooking container is obtained. The acoustic characteristic data corresponding to the target cooking container characterizes the acoustic characteristics of the target acoustic wave transmission path of the target cooking container. Based on the acoustic characteristic data, the acoustic wave recognition parameters corresponding to the target cooking container are obtained.

[0007] Optionally, the acoustic characteristic data includes the resonant frequency and reference quality factor corresponding to the target cooking container, the detected sound wave includes a swept-frequency sound wave signal, the reference sound wave detection data includes first detection data, and the calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain the reference sound wave detection data corresponding to the target cooking container includes: A first detection instruction is generated so that the sound source component provides a swept-frequency sound wave signal according to the first detection instruction, and the sound wave detection component performs detection processing on the sound wave formed by the swept-frequency sound wave signal passing through at least the target sound wave transmission path according to the first detection instruction to obtain first detection data; The process of obtaining acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the first detection data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined.

[0008] Optionally, determining the resonant frequency and reference quality factor corresponding to the target cooking container based on the first detection data includes: Based on the first detection data, determine the reference audio frequency response data corresponding to the target cooking container; Based on the reference audio response data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined.

[0009] Optionally, the acoustic characteristic data includes the damping ratio corresponding to the target cooking container, the detected sound wave includes a sound pulse signal, the reference sound wave detection data includes second detection data, and the calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain the reference sound wave detection data corresponding to the target cooking container includes: A second detection instruction is generated so that the sound source component provides a sound wave pulse signal according to the second detection instruction, and the sound wave detection component detects and processes the sound wave formed by the sound wave pulse signal transmitted through at least the target cooking container according to the second detection instruction to obtain second detection data; The process of obtaining acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the second detection data, the damping ratio corresponding to the target cooking container is determined.

[0010] Optionally, the acoustic characteristic data includes reference acoustic wave transmission loss data corresponding to the target cooking container, the detected acoustic wave includes a constant power acoustic wave signal with a preset power, the reference acoustic wave detection data includes third detection data, and the calibration detection processing based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container includes: A third detection instruction is generated so that the sound source component provides a constant power sound wave signal according to the third detection instruction, and the sound wave detection component detects and processes the sound wave formed by the constant power sound wave signal transmitted through at least the target cooking container according to the third detection instruction to obtain third detection data. The process of obtaining acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the third detection data, the reference acoustic wave transmission loss data corresponding to the target cooking container is determined. The reference acoustic wave transmission loss data is used to indicate the energy loss level of the acoustic wave after it is transmitted through the target acoustic wave transmission path.

[0011] Optionally, obtaining the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data includes: Acquire acoustic wave mapping information, which includes the mapping relationship between acoustic characteristic categories and acoustic wave identification parameters; Based on the reference acoustic wave detection data, the target acoustic characteristic category information corresponding to the target cooking container is determined; Based on the target acoustic characteristic category information and sound wave mapping information, the sound wave recognition parameters corresponding to the target cooking container are obtained.

[0012] Optionally, the calibration and detection processing based on the target acoustic wave transmission path including the target cooking container to obtain reference acoustic wave detection data corresponding to the target cooking container includes: In response to a calibration trigger signal, calibration detection processing is performed based on the target acoustic wave transmission path including the target cooking container to obtain reference acoustic wave detection data corresponding to the target cooking container. The calibration trigger signal is generated when the acoustic wave detection signal meets the calibration trigger condition, or the calibration trigger signal is generated based on input operation information, which is generated according to the input operation or input information received by the input component.

[0013] Optionally, the calibration and detection processing based on the target acoustic wave transmission path including the target cooking container to obtain reference acoustic wave detection data corresponding to the target cooking container includes: In response to a calibration trigger signal, a prompt message is generated, which prompts the target cooking container to be kept in a preset calibration state. Upon receiving the status confirmation information, calibration detection processing is performed based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container. The status confirmation information is generated based on the confirmation operation of the prompt information.

[0014] Optionally, the acoustic recognition parameters include at least one of boiling recognition parameters, overflow precursor recognition parameters, overflow recognition parameters, and dry burning recognition parameters.

[0015] According to a second aspect of this disclosure, a calibration device is provided for use with a sound wave sensing device or a cooktop including a sound wave sensing device; the sound wave sensing device includes a sound source component, a sound wave detection component, and an identification processing unit; the sound source component is used to provide a preset sound wave; the sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal; the received sound wave includes a sound wave formed by the preset sound wave being transmitted through a cooking container; and the identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and sound wave identification parameters corresponding to the cooking container. The calibration device includes: The data acquisition module is used to perform calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain reference sound wave detection data corresponding to the target cooking container. The reference sound wave detection data is obtained by the sound wave detection component detecting the target sound wave formed by the detection sound wave transmitted through the target cooking container. The detection sound wave is provided by the sound source component. The characterization module is used to obtain the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data.

[0016] According to a third aspect of this disclosure, a cooktop, particularly a smart cooktop, is provided. The cooktop includes the sound wave sensing device, which includes a sound source component, a sound wave detection component, and an identification processing unit. The sound source component is used to provide a preset sound wave, and the sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal. The received sound wave includes the sound wave formed by the preset sound wave being transmitted through a cooking container. The identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and the sound wave identification parameters corresponding to the cooking container. The stove adopts the calibration method described in the above technical solution.

[0017] According to a fourth aspect of this disclosure, an electronic device is provided, including at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the calibration method as described above by executing the instructions stored in the memory.

[0018] According to a fifth aspect of this disclosure, a computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or at least one program being loaded and executed by a processor to implement the calibration method as described above.

[0019] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure.

[0020] Implementing this disclosure will have the following beneficial effects: This disclosure provides a calibration method, apparatus, and smart cooktop, applicable to a sound wave sensing device or a cooktop including a sound wave sensing device. The calibration method includes: performing calibration detection processing based on a target sound wave transmission path including a target cooking container to obtain reference sound wave detection data corresponding to the target cooking container; and obtaining sound wave identification parameters corresponding to the target cooking container based on the reference sound wave detection data. Thus, personalized sound wave identification parameters are established for the target cooking container based on the reference sound wave detection data, which can accurately identify the cooking state of the target cooking container based on the sound wave identification parameters, thus helping to avoid safety hazards caused by overflow, dry burning, etc.

[0021] Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0022] To more clearly illustrate the technical solutions and advantages in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 A schematic flowchart of a calibration method according to an embodiment of the present disclosure is shown; Figure 2 A schematic diagram illustrating the process of determining acoustic wave recognition parameters based on reference acoustic wave detection data according to an embodiment of the present disclosure is shown. Figure 3 A schematic diagram of the structure of a calibration apparatus according to an embodiment of the present disclosure is shown. Detailed Implementation

[0024] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0026] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0027] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0028] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more of a plurality of objects. For example, including at least one or more of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0029] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0030] This disclosure provides a calibration method. The calibration method of this invention can be applied to a sound wave sensing device or a stove including a sound wave sensing device. Specifically, it can be used in a sound wave sensing device, a stove, or a smart terminal, such as a control unit of the sound wave sensing device or stove, or a smart terminal communicatively connected to the sound wave sensing device or stove. The smart terminal is used to control the sound wave sensing device or stove. The smart terminal can be a smart appliance control device, a PC, a mobile phone, or a smart wearable device. The smart appliance control device is used to control at least one home appliance. This invention does not limit the scope of the method. This specification provides method operation steps as shown in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operation steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many steps and does not represent a unique execution order. In actual devices, systems, processors, or server products, the method can be executed sequentially according to the embodiments or accompanying drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment).

[0031] The sound wave sensing device injects sound waves, especially ultrasonic waves, into the cooking container and receives and detects the sound wave feedback signal formed by the injected sound waves transmitted through the cooking container. Based on the sound wave feedback signal, it analyzes the characteristics of the sound wave vibration transmitted by the cooking container itself, thereby accurately determining the physical state of the liquid in the cooking container (such as calm, boiling, or signs of overflow) and whether dry burning has occurred. Based on this, it can intelligently adjust the firepower of the stove to achieve intelligent cooking.

[0032] Specifically, the sound wave sensing device includes a sound source component, a sound wave detection component, and an identification and processing unit. The sound source component provides a preset sound wave and includes a sound wave generator, preferably an ultrasonic wave, which can be a piezoelectric ceramic transducer. The sound source component is connected to a sound wave transmission component, which transmits the sound waves generated by the sound wave generator directly or indirectly to the cooking container. For example, the cooktop includes a support for the cooking container, which includes a plurality of spaced-apart legs. One end of the sound wave transmission component is connected to the sound wave generator, and the other end is connected to one of the legs of the support. Thus, the sound waves generated by the sound wave generator can be transmitted to the cooking container at least via the sound wave transmission component and the legs.

[0033] Optionally, the sound generator operates at a frequency greater than or equal to 20 kHz, preferably 25 kHz to 300 kHz, and especially 30 kHz to 150 kHz, such as 40 kHz, 50 kHz, 70 kHz, 80 kHz or 100 kHz, thereby enabling silent operation.

[0034] The acoustic wave detection component is used to detect and process received acoustic waves to obtain an acoustic wave detection signal. The received acoustic waves include acoustic waves formed by the transmission of the preset acoustic waves through the cooking container. For example, the acoustic wave detection component includes a vibration sensor, which can be an acoustic wave sensor, such as a piezoelectric ceramic transducer. The vibration sensor is connected to an acoustic wave transmission member. Optionally, one end of the acoustic wave transmission member is connected to the vibration sensor, and the other end is connected to another leg of the support used to support the cooking container. Thus, the acoustic waves generated by the acoustic wave generator can be transmitted to the cooking container at least through the acoustic wave transmission member and the leg, and at least a portion of the acoustic waves transmitted through the cooking container are transmitted to the vibration sensor through the other leg and the acoustic wave transmission member. The vibration sensor obtains an acoustic wave detection signal based on the received acoustic waves.

[0035] Optionally, the acoustic wave detection component may also include a low-noise amplifier and a filter, which are used to amplify and filter the received electrical signal including the acoustic wave detection signal, respectively.

[0036] The identification processing unit is used to determine the cooking state of the cooking container based on the acoustic detection signal and the acoustic identification parameters corresponding to the cooking container. The acoustic identification parameters are determined according to the acoustic characteristics of the acoustic waves transmitted by the cooking container. The acoustic identification parameters are used to identify the cooking state of the cooking container. Optionally, the acoustic identification parameters can also be used to identify the cooking container.

[0037] Specifically, the acoustic wave recognition parameters can be set empirically. For example, the same acoustic wave recognition parameters can be used for multiple identical cooking containers. Exemplarily, the acoustic wave recognition parameters are obtained from a cloud server or a backend server, especially in advance. In an alternative example, the acoustic wave recognition parameters are obtained by calibrating the cooking containers.

[0038] For example, the cooktop is equipped with a sound wave sensing device and at least one cooking container. For the at least one cooking container, the sound wave recognition parameters corresponding to the at least one cooking container are pre-stored, or the sound wave recognition parameters corresponding to the same cooking container are obtained from the cloud or a back-end server and stored as the sound wave recognition parameters corresponding to the at least one cooking container.

[0039] In an alternative example, the acoustic recognition parameters are obtained by calibrating the cooking container, thereby enabling cooking status recognition for different cooking containers by acquiring the acoustic recognition parameters for different cooking containers.

[0040] Figure 1 This diagram illustrates a flow chart of a calibration method according to an embodiment of the present disclosure. The calibration method is applied to the sound wave sensing device or a cooktop including the sound wave sensing device, such as... Figure 1 As shown, the calibration method includes: Step S101: Based on the target sound wave transmission path of the target cooking container under a preset state, a calibration detection process is performed to obtain reference sound wave detection data corresponding to the target cooking container. The reference sound wave detection data is obtained by the sound wave detection component detecting the target sound wave formed by the transmission of the detection sound wave through the target cooking container. The detection sound wave is provided by the sound source component.

[0041] Specifically, the sound waves provided by the sound source component are transmitted sequentially through one leg of the support for the cooking container, the cooking container, and the other leg of the support to the sound wave detection component. The one leg and the other leg are spaced apart, preferably being the two legs furthest apart in the support. In this process, the sound wave transmission path includes one leg of the support for the cooking container, the cooking container, and the other leg of the support. For the target cooking container to be calibrated, the sound wave transmission path including the target cooking container is constituted as the target sound wave transmission path. During the calibration process, at least a portion of the sound waves provided by the sound source component are transmitted to the sound wave detection component via the target cooking container, that is, via the target sound wave transmission path.

[0042] The sound waves provided by the sound source component are also directly transmitted to the sound wave detection component via the support (including the aforementioned one leg and the other leg). Therefore, some of the sound waves provided by the sound source component are transmitted to the sound wave detection component via the support without passing through the cooking container. Furthermore, the sound waves provided by the sound source component are also transmitted to the sound wave detection component via air propagation and other paths. The sound waves received by the sound wave detection component include those transmitted to the sound wave detection component via different transmission paths. The sound wave detection component generates detection information based on the received sound waves. During calibration, the detection information corresponding to the target sound wave formed by the detection sound wave provided by the sound source component transmitted through the target cooking container is used as the reference sound wave detection data. For example, the reference sound wave detection data can be obtained by extracting and processing the detection information generated by the sound wave detection component based on the received sound waves.

[0043] Step S102: Based on the reference acoustic wave detection data, obtain the acoustic wave recognition parameters corresponding to the target cooking container.

[0044] Specifically, based on the reference acoustic wave detection data corresponding to the target cooking container, characteristic processing is performed to obtain the acoustic wave recognition parameters corresponding to the target cooking container. Therefore, based on the reference acoustic wave detection data, the acoustic characteristics of the target cooking container are calibrated, and personalized acoustic wave recognition parameters are established for the target cooking container. These acoustic wave recognition parameters can accurately identify the cooking state of the target cooking container, which helps to avoid safety hazards such as overflowing or dry burning.

[0045] Figure 2 This diagram illustrates a flowchart of determining acoustic wave recognition parameters based on reference acoustic wave detection data according to an embodiment of the present disclosure, such as... Figure 2 As shown, obtaining the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data includes: Step S201: Based on the reference acoustic wave detection data, obtain the acoustic characteristic data corresponding to the target cooking container. The acoustic characteristic data corresponding to the target cooking container characterizes the acoustic characteristics of the target acoustic wave transmission path of the target cooking container.

[0046] Specifically, the material, shape, and size of cooking containers affect their acoustic properties. For example, the material includes iron, aluminum, stainless steel, or ceramic; the shape includes flat bottom, round bottom, wok, or saucepan; and the size includes thickness, width, and height. Different cooking containers transmit sound waves with different acoustic properties, resulting in different sound waves formed after the same sound wave is transmitted through different cooking containers. Based on the reference sound wave detection data obtained by detecting the target sound wave formed by the detection sound wave transmitted through the target cooking container, the acoustic property data corresponding to the target cooking container is obtained, thereby quantifying the acoustic properties of the target cooking container.

[0047] Step S202: Based on the acoustic characteristic data, obtain the acoustic wave recognition parameters corresponding to the target cooking container.

[0048] Based on the reference acoustic wave detection data, the acoustic characteristics of the target cooking container are calibrated, and then the acoustic wave identification parameters corresponding to the target cooking container are obtained. These acoustic wave identification parameters correspond to the acoustic characteristics of the target cooking container, and thus the cooking state of the target cooking container can be accurately identified through these acoustic wave identification parameters.

[0049] In an optional implementation, the acoustic characteristic data includes the resonant frequency and reference quality factor corresponding to the target cooking container, the detected acoustic wave includes a swept-frequency acoustic wave signal, the reference acoustic wave detection data includes first detection data, and the calibration detection processing based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container includes: A first detection instruction is generated so that the sound source component provides a swept-frequency sound wave signal according to the first detection instruction, and the sound wave detection component performs detection processing on the sound wave formed by the swept-frequency sound wave signal passing through at least the target sound wave transmission path according to the first detection instruction to obtain first detection data.

[0050] Specifically, the swept frequency acoustic signal is a frequency-varying acoustic signal, and the frequency of the swept frequency acoustic signal is located in the frequency range of 20kHz-300kHz, preferably in the frequency range of 20kHz-200kHz, and especially in the frequency range of 20kHz-150kHz.

[0051] For example, the minimum acoustic frequency of the swept frequency acoustic signal is 20kHz, 22kHz, 25kHz, 28kHz, 30kHz, 32kHz, 35kHz, 40kHz or 50kHz, and the maximum acoustic frequency of the swept frequency acoustic signal is 90kHz, 100kHz, 120kHz, 160kHz, 180kHz or 250kHz.

[0052] Accordingly, obtaining the acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the first detection data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined.

[0053] Specifically, based on the first detection data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined. For different cooking containers, such as those differing in material, shape, and size, the corresponding resonant frequency and quality factor under the same conditions are typically different. The quality factor is a dimensionless parameter used to describe at least the frequency selectivity and energy loss characteristics of a vibrating or resonant system (such as a cooking container), particularly its frequency selectivity (sharpness) and energy loss characteristics near the resonant frequency, where the energy loss characteristic can be the rate of energy loss. For example, a dry-heated cookware has a high quality factor, low energy loss, and minimal damping of sound waves; once excited to vibrate, the vibration lasts a long time before decaying, and the resonance peak is very sharp and narrow. A cookware used for normal cooking has a relatively low temperature compared to a dry-heated cookware; this cookware typically has a low quality factor, high energy loss, and minimal damping of sound waves; once excited to vibrate, its vibration stops quickly, and the resonance peak is very broad and flat.

[0054] The target cooking container has different quality factors in different states. The benchmark quality factor is the quality factor of the target cooking container when it is in a preset state.

[0055] Optionally, determining the resonant frequency and reference quality factor corresponding to the target cooking container based on the first detection data includes: Based on the first detection data, determine the reference audio frequency response data corresponding to the target cooking container; Based on the reference audio response data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined.

[0056] The reference audio response data is used to indicate the frequency response characteristics of the target cooking container. Specifically, the reference audio response data is used to indicate the propagation characteristics of sound waves within a certain frequency range corresponding to the target cooking container. This reference audio response data can indicate the propagation characteristics of sound waves within the frequency range corresponding to the swept-frequency sound wave signal of the target cooking container.

[0057] The sweeping acoustic signal provided by the sound source component is transmitted through the target acoustic transmission path including the target cooking container. The reference acoustic response data is the frequency response characteristic of the target acoustic transmission path. For the same stove, supporting different cooking containers will constitute different acoustic transmission paths. The frequency response characteristic of the acoustic transmission path changes with the different cooking containers it includes. The resonant frequency and reference quality factor of the acoustic transmission path also change with the different cooking containers it includes. The resonant frequency corresponding to the target cooking container is the resonant frequency of the target acoustic transmission path, and the reference quality factor corresponding to the target cooking container is the reference quality factor of the target acoustic transmission path.

[0058] In an optional implementation, the acoustic characteristic data includes the damping ratio corresponding to the target cooking container, the detected sound wave includes a sound pulse signal, the reference sound wave detection data includes second detection data, and the calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain the reference sound wave detection data corresponding to the target cooking container includes: A second detection instruction is generated so that the sound source component provides a sound wave pulse signal according to the second detection instruction, and the sound wave detection component detects and processes the sound wave formed by the sound wave pulse signal transmitted through at least the target cooking container according to the second detection instruction to obtain second detection data.

[0059] Optionally, the acoustic pulse signal can be a matrix-type or Hanning window acoustic pulse, or other forms of acoustic pulse. The repetition period of the acoustic pulse signal is greater than the decay time of the vibration of the target cooking container. For example, the acoustic pulse signal covers a frequency range of 20-200kHz, preferably 20-150kHz, especially 20-100kHz, with a center frequency of 60kHz, 70kHz, 80kHz, 90kHz, 100kHz, or 110kHz. The acoustic pulse signal includes pulses of at least one cycle, such as pulses of 1-5 cycles, such as pulses of 2 or 3 cycles, with a pulse width of 10-50 μs, preferably 15-40 μs, such as 16.7 μs, 20 μs, 25 μs, 30 μs, or 33.3 μs.

[0060] Accordingly, obtaining the acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the second detection data, the damping ratio corresponding to the target cooking container is determined.

[0061] Specifically, the attenuation waveform of the sound wave signal is analyzed based on the second detection data, and the damping ratio of the target sound wave transmission path is obtained, which is used as the damping ratio corresponding to the target cooking container.

[0062] In an optional implementation, the acoustic characteristic data includes reference acoustic wave transmission loss data corresponding to the target cooking container, the detected acoustic wave includes a constant power acoustic wave signal with a preset power, the reference acoustic wave detection data includes third detection data, and the calibration detection processing based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container includes: A third detection instruction is generated so that the sound source component provides a constant power sound wave signal according to the third detection instruction, and the sound wave detection component detects and processes the sound wave formed by the constant power sound wave signal transmitted through at least the target cooking container according to the third detection instruction to obtain third detection data.

[0063] Specifically, the frequency difference between the frequency of the constant-power acoustic wave signal and the aforementioned resonant frequency is less than a preset frequency threshold. Preferably, the frequency of the constant-power acoustic wave signal is the aforementioned resonant frequency. For example, after determining the resonant frequency corresponding to the target cooking container, the sound source component is controlled to generate the constant-power acoustic wave signal according to the resonant frequency based on a third detection command. Specifically, the sound source component can be controlled to emit the constant-power acoustic wave signal at or near the resonant frequency.

[0064] Accordingly, obtaining the acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the third detection data, a reference acoustic wave transmission loss data corresponding to the target cooking container is determined. The reference acoustic wave transmission loss data is used to indicate the energy loss level of the acoustic wave after it is transmitted through the target acoustic wave transmission path.

[0065] Specifically, the reference acoustic wave transmission loss data is used to indicate the acoustic wave transmission loss level of the target acoustic wave transmission path. Optionally, the reference acoustic wave transmission loss data may be the average amplitude of the acoustic wave formed by the constant power acoustic wave signal transmitted through at least the target cooking container, i.e., the reference average amplitude, or the energy loss ratio of the acoustic wave formed by the constant power acoustic wave signal transmitted through at least the target cooking container relative to the constant power acoustic wave signal, i.e., the reference energy loss ratio.

[0066] In one optional implementation, the acoustic identification parameters include at least one of boiling identification parameters, overflow precursor identification parameters, overflow identification parameters, and dry burning identification parameters.

[0067] Optionally, the dry-burn judgment condition corresponding to the target cooking container is set according to the acoustic characteristic data of the target cooking container. For example, the dry-burn judgment condition corresponding to the target cooking container can be determined based on the reference quality factor and reference sound wave transmission loss data of the target cooking container. For example, the dry-burn judgment condition corresponding to the target cooking container is: Q_c>m*Q_b, and A_c>n*A_b, where Q_c is the real-time quality factor of the target cooking container during cooking or status recognition, Q_b is the reference quality factor of the target cooking container, A_c is the real-time average signal amplitude of the target cooking container during cooking or status recognition, A_b is the reference average amplitude of the target cooking container, m and n are constants, which can be set or optimized based on experience. For example, m>1, preferably 1.5-5, especially 1.8-3, such as 2, 2.1 or 2.5, and n is 1.1-4, preferably 1.2-3, such as 1.5, 1.8, 2 or 2.5. Based on the dry burning judgment condition, dry burning identification parameters corresponding to the target cooking container are generated.

[0068] Optionally, the boiling determination condition for the target cooking container is set based on the acoustic characteristic data of the target cooking container. For example, the boiling determination condition for the target cooking container can be determined based on the reference acoustic wave transmission loss data of the target cooking container. For instance, the boiling state of the target cooking container is identified based on the real-time signal noise level and the real-time signal average amplitude. If the real-time signal noise level is greater than or equal to a signal noise level threshold and the real-time signal average amplitude is greater than or equal to an amplitude growth threshold, the target cooking container is determined to be in a boiling state. The signal noise level threshold and the amplitude growth threshold are determined based on the reference average amplitude A_b of the target cooking container. Based on this boiling determination condition, boiling identification parameters for the target cooking container are generated.

[0069] In an alternative implementation, obtaining the acoustic wave identification parameters corresponding to the target cooking container based on the reference acoustic wave detection data includes: Acquire acoustic wave mapping information, which includes the mapping relationship between acoustic characteristic categories and acoustic wave identification parameters; Based on the reference acoustic wave detection data, the target acoustic characteristic category information corresponding to the target cooking container is determined; Based on the target acoustic characteristic category information and sound wave mapping information, the sound wave recognition parameters corresponding to the target cooking container are obtained.

[0070] Optionally, based on the reference acoustic wave detection data, acoustic characteristic data or acoustic characteristic parameters corresponding to the target cooking container are determined. The acoustic characteristic data may include at least one of reference acoustic frequency response data, resonant frequency, reference quality factor, damping ratio, and reference acoustic wave transmission loss data. The acoustic characteristic parameters are used to indicate the acoustic characteristics corresponding to the target cooking container. Based on the acoustic characteristic data or acoustic characteristic parameters, target acoustic characteristic category information corresponding to the target cooking container is determined. The target acoustic characteristic category information is used to indicate the acoustic characteristic category corresponding to the target cooking container. The acoustic characteristic category is a classification based on acoustic characteristics.

[0071] Optionally, the acoustic wave mapping information includes multiple preset mapping relationships, which are the correspondence between acoustic characteristic categories and acoustic wave recognition parameters. This acoustic wave mapping information can be pre-stored in memory or retrieved from the cloud or a backend server.

[0072] In an optional implementation, the calibration detection process based on the target acoustic wave transmission path including the target cooking container to obtain reference acoustic wave detection data of the target cooking container includes: In response to the calibration trigger signal, calibration detection processing is performed based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container.

[0073] Specifically, the calibration trigger signal is generated when the acoustic wave detection signal meets the calibration trigger condition. The calibration trigger signal can also be generated based on input operation information, which is generated according to input operations or input information received by the input component. Thus, the user triggers the calibration of the target cooking container by inputting an operation or sending input information to the acoustic wave sensing device or a cooktop including the acoustic wave sensing device.

[0074] Optionally, before performing calibration detection processing based on the target acoustic wave transmission path including the target cooking container in response to the calibration trigger signal to obtain the reference acoustic wave detection data corresponding to the target cooking container, the process includes: Acquire sound wave detection signals, for example, periodically acquire sound wave detection signals, or acquire sound wave detection signals based on the activation of the sound wave sensing device. When the acoustic wave detection signal meets the calibration trigger condition, a calibration trigger signal is generated.

[0075] For example, when the acoustic wave detection signal indicates that the acoustic characteristics of the cooking container have undergone a step change and continue for more than a set time threshold, it is determined that a new cooking container has been placed, a calibration trigger signal is generated, and the new cooking container is automatically calibrated.

[0076] In an optional implementation, the calibration and detection processing based on the target acoustic wave transmission path including the target cooking container to obtain reference acoustic wave detection data corresponding to the target cooking container includes: In response to a calibration trigger signal, a prompt message is generated, which prompts the target cooking container to be kept in a preset calibration state. Upon receiving the status confirmation information, calibration detection processing is performed based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container. The status confirmation information is generated based on the confirmation operation of the prompt information.

[0077] Specifically, the target cooking container has different acoustic characteristics in different states. The preset calibration state can include at least one of an empty state, a room temperature state, and a non-heated state. Therefore, a prompt message alerts the user that the target cooking container is in the preset calibration state. The user confirms the target cooking container is in the preset calibration state by inputting a confirmation operation, and the state confirmation information is generated based on the user's confirmation operation. The target cooking container remains in the preset calibration state during the calibration process.

[0078] Figure 3 This diagram illustrates a block diagram of a calibration apparatus according to an embodiment of the present disclosure. The calibration apparatus is applied to the sound wave sensing device or a cooktop including the sound wave sensing device. The sound wave sensing device includes a sound source component, a sound wave detection component, and an identification processing unit. The sound source component provides a preset sound wave. The sound wave detection component detects and processes the received sound wave to obtain a sound wave detection signal. The received sound wave includes the sound wave formed by the preset sound wave being transmitted through a cooking container. The identification processing unit determines the cooking state of the cooking container based on the sound wave detection signal and sound wave identification parameters corresponding to the cooking container. Figure 3 As shown, the above calibration device includes: The data acquisition module is used to perform calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain reference sound wave detection data corresponding to the target cooking container. The reference sound wave detection data is obtained by the sound wave detection component detecting the target sound wave formed by the detection sound wave transmitted through the target cooking container. The detection sound wave is provided by the sound source component. The characterization module is used to obtain the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data.

[0079] In some embodiments, the calibration apparatus provided in this disclosure may have functions or include modules that can be used to perform the calibration method described in the above embodiments. The specific implementation can be referred to the description in the above embodiments, and for the sake of brevity, it will not be described again here.

[0080] This disclosure also proposes an intelligent cooktop, which includes the sound wave sensing device. The sound wave sensing device includes a sound source component, a sound wave detection component, and an identification processing unit. The sound source component is used to provide a preset sound wave. The sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal. The received sound wave includes the sound wave formed by the preset sound wave being transmitted through a cooking container. The identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and the sound wave identification parameters corresponding to the cooking container. The stove adopts the calibration method described in the above technical solution.

[0081] This disclosure also proposes a computer-readable storage medium storing at least one instruction or at least one program segment, which is loaded and executed by a processor to implement the calibration method described above. The computer-readable storage medium may be a non-volatile computer-readable storage medium.

[0082] This disclosure also proposes an electronic device, including at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the calibration method as described above by executing the instructions stored in the memory.

[0083] Electronic devices can be provided as terminals, servers, or other forms of devices.

[0084] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A calibration method, characterized in that, An appliance is applied to or includes a sound wave sensing device; the sound wave sensing device includes a sound source component, a sound wave detection component, and an identification processing unit. The sound source component is used to provide a preset sound wave, the sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal, the received sound wave includes the sound wave formed by the preset sound wave being transmitted through a cooking container, and the identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and the sound wave identification parameters corresponding to the cooking container. The calibration method includes: Based on the target acoustic wave transmission path including the target cooking container, calibration detection processing is performed to obtain reference acoustic wave detection data corresponding to the target cooking container. The reference acoustic wave detection data is obtained by the acoustic wave detection component detecting the target acoustic wave formed by the transmission of the detection acoustic wave through the target cooking container. The detection acoustic wave is provided by the sound source component. Based on the reference acoustic wave detection data, the acoustic wave recognition parameters corresponding to the target cooking container are obtained.

2. The calibration method according to claim 1, characterized in that, The step of obtaining the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the reference acoustic wave detection data, acoustic characteristic data corresponding to the target cooking container is obtained. The acoustic characteristic data corresponding to the target cooking container characterizes the acoustic characteristics of the target acoustic wave transmission path of the target cooking container. Based on the acoustic characteristic data, the acoustic wave recognition parameters corresponding to the target cooking container are obtained.

3. The calibration method according to claim 1, characterized in that, The acoustic characteristic data includes the resonant frequency and reference quality factor corresponding to the target cooking container; the detected sound wave includes a swept-frequency sound wave signal; the reference sound wave detection data includes first detection data; the calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain the reference sound wave detection data corresponding to the target cooking container includes: A first detection instruction is generated so that the sound source component provides a swept-frequency sound wave signal according to the first detection instruction, and the sound wave detection component performs detection processing on the sound wave formed by the swept-frequency sound wave signal passing through at least the target sound wave transmission path according to the first detection instruction to obtain first detection data; The process of obtaining acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the first detection data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined.

4. The calibration method according to claim 3, characterized in that, The step of determining the resonant frequency and reference quality factor corresponding to the target cooking container based on the first detection data includes: Based on the first detection data, determine the reference audio frequency response data corresponding to the target cooking container; Based on the reference audio response data, the resonant frequency and reference quality factor corresponding to the target cooking container are determined.

5. The calibration method according to any one of claims 1-4, characterized in that, The acoustic characteristic data includes the damping ratio corresponding to the target cooking container; the detected sound wave includes a sound pulse signal; the reference sound wave detection data includes second detection data; and the calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain the reference sound wave detection data corresponding to the target cooking container includes: A second detection instruction is generated so that the sound source component provides a sound wave pulse signal according to the second detection instruction, and the sound wave detection component detects and processes the sound wave formed by the sound wave pulse signal transmitted through at least the target cooking container according to the second detection instruction to obtain second detection data; The process of obtaining acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the second detection data, the damping ratio corresponding to the target cooking container is determined.

6. The calibration method according to any one of claims 1-4, characterized in that, The acoustic characteristic data includes reference acoustic wave transmission loss data corresponding to the target cooking container; the detected acoustic wave includes a constant power acoustic wave signal with a preset power; the reference acoustic wave detection data includes third detection data; the calibration detection processing based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container includes: A third detection instruction is generated so that the sound source component provides a constant power sound wave signal according to the third detection instruction, and the sound wave detection component detects and processes the sound wave formed by the constant power sound wave signal transmitted through at least the target cooking container according to the third detection instruction to obtain third detection data. The process of obtaining acoustic characteristic data corresponding to the target cooking container based on the reference acoustic wave detection data includes: Based on the third detection data, the reference acoustic wave transmission loss data corresponding to the target cooking container is determined. The reference acoustic wave transmission loss data is used to indicate the energy loss level of the acoustic wave after it is transmitted through the target acoustic wave transmission path.

7. The calibration method according to any one of claims 1-4, characterized in that, The step of obtaining the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data includes: Acquire acoustic wave mapping information, which includes the mapping relationship between acoustic characteristic categories and acoustic wave identification parameters; Based on the reference acoustic wave detection data, the target acoustic characteristic category information corresponding to the target cooking container is determined; Based on the target acoustic characteristic category information and sound wave mapping information, the sound wave recognition parameters corresponding to the target cooking container are obtained.

8. The calibration method according to any one of claims 1-4, characterized in that, The calibration and detection process based on the target acoustic wave transmission path including the target cooking container, to obtain reference acoustic wave detection data corresponding to the target cooking container, includes: In response to a calibration trigger signal, calibration detection processing is performed based on the target acoustic wave transmission path including the target cooking container to obtain reference acoustic wave detection data corresponding to the target cooking container. The calibration trigger signal is generated when the acoustic wave detection signal meets the calibration trigger condition, or the calibration trigger signal is generated based on input operation information, which is generated according to the input operation or input information received by the input component.

9. The calibration method according to claim 7, characterized in that, The calibration and detection process based on the target acoustic wave transmission path including the target cooking container, to obtain reference acoustic wave detection data corresponding to the target cooking container, includes: In response to a calibration trigger signal, a prompt message is generated, which prompts the target cooking container to be kept in a preset calibration state. Upon receiving the status confirmation information, calibration detection processing is performed based on the target acoustic wave transmission path including the target cooking container to obtain the reference acoustic wave detection data corresponding to the target cooking container. The status confirmation information is generated based on the confirmation operation of the prompt information.

10. The calibration method according to any one of claims 1-4, characterized in that, The acoustic identification parameters include at least one of the following: boiling identification parameters, overflow precursor identification parameters, overflow identification parameters, and dry burning identification parameters.

11. A calibration device, characterized in that, An appliance is applied to or includes a sound wave sensing device; the sound wave sensing device includes a sound source component, a sound wave detection component, and an identification processing unit. The sound source component is used to provide a preset sound wave, the sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal, the received sound wave includes the sound wave formed by the preset sound wave being transmitted through a cooking container, and the identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and the sound wave identification parameters corresponding to the cooking container. The calibration device includes: The data acquisition module is used to perform calibration detection processing based on the target sound wave transmission path including the target cooking container to obtain reference sound wave detection data corresponding to the target cooking container. The reference sound wave detection data is obtained by the sound wave detection component detecting the target sound wave formed by the detection sound wave transmitted through the target cooking container. The detection sound wave is provided by the sound source component. The characterization module is used to obtain the acoustic wave recognition parameters corresponding to the target cooking container based on the reference acoustic wave detection data.

12. A smart stove, characterized in that, The cooktop includes the sound wave sensing device, which includes a sound source component, a sound wave detection component, and an identification processing unit. The sound source component is used to provide a preset sound wave, the sound wave detection component is used to detect and process the received sound wave to obtain a sound wave detection signal, the received sound wave includes the sound wave formed by the preset sound wave being transmitted through the cooking container, and the identification processing unit is used to determine the cooking state of the cooking container based on the sound wave detection signal and the sound wave identification parameters corresponding to the cooking container. The stove is calibrated using the method described in any one of claims 1-10.

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