Cooking control method of intelligent range hood and intelligent range hood

Abstract

The application relates to a cooking control method of an intelligent range hood and the intelligent range hood, and is applied to the field of intelligent electrical appliances, wherein the method comprises the following steps: in a cooking process, acquiring the concentrations of multiple gases in mixed oil fume in an air inlet pipe; the concentrations of the multiple gases are determined after the mixed oil fume in the air inlet pipe is adsorbed by a gas sensor array; the mixed oil fume is obtained by mixing multiple organic compounds; a gas proportion feature vector is constructed based on the concentrations of the multiple gases; the gas proportion feature vector is used for representing the difference between the concentrations of the multiple gases; and a fan gear position of the intelligent range hood is controlled according to the gas proportion feature vector. Through the application, the problem that the accuracy of the cooking state judgment of the current intelligent range hood needs to be improved is solved.

Description

Technical Field

[0001] This application relates to the field of smart appliances, and in particular to a cooking control method for a smart range hood and a smart range hood. Background Technology

[0002] With the improvement of people's living standards and the promotion and popularization of technologies such as the Internet, big data, artificial intelligence, and voice interaction, more and more traditional lifestyles are gradually changing, and the use of home appliances is gradually moving towards intelligence. While bringing more convenience to users, the functions of various home appliances are also becoming more diversified. Among them, smart range hoods are essential smart appliances for daily cooking. As users pay more and more attention to the noise during the cooking process, the fan housing of smart range hoods is often placed in the ceiling. This not only hides the appearance of the smart range hood but also further reduces some of the noise generated by the fan housing, the noise source.

[0003] However, because the fan housing of smart range hoods is located within the ceiling, the cooking fumes expand and dilute as they rise. By the time they reach the ceiling, the VOC (volatile organic compound) concentration per unit volume has significantly decreased, resulting in a low signal-to-noise ratio for VOC detection. This may misinterpret "water vapor fluctuations" during cooking as a "fume burst," reducing the accuracy of cooking status assessment. Currently, no effective solution has been proposed to address the issue of insufficient accuracy in judging the cooking status in current smart range hoods. Summary of the Invention

[0004] This embodiment provides a cooking control method for an intelligent range hood and an intelligent range hood, in order to solve the problem that the accuracy of cooking status judgment in current intelligent range hoods needs to be improved in related technologies.

[0005] In a first aspect, this embodiment provides a cooking control method for an intelligent range hood, wherein the fan housing of the intelligent range hood is installed in the ceiling; a gas sensor array and a temperature sensor are provided in the middle of the air inlet duct of the intelligent range hood, the temperature sensor being used to collect the temperature of the oil fumes in the air inlet duct; the method includes:

[0006] During cooking, the concentrations of various gases in the mixed oil fumes inside the air inlet duct are obtained; the concentrations of these various gases are determined by the gas sensor array after adsorbing the mixed oil fumes in the air inlet duct; the mixed oil fumes are obtained by mixing various organic compounds.

[0007] Based on the concentrations of the various gases, a gas ratio feature vector is constructed; the gas ratio feature vector is used to characterize the differences between the concentrations of the various gases.

[0008] The fan speed in the intelligent range hood is controlled based on the gas ratio feature vector.

[0009] Through the above steps, the gas sensor array installed in the middle of the air inlet duct adsorbs the duct fumes that have been fully mixed and cooled in the first half of the air inlet duct. Then, the gas concentrations of different organic compounds in the mixed fumes are detected to obtain multiple gas concentrations. Through the low temperature and low noise environment unique to the split structure of the range hood, the duct fumes are fully mixed, improving the accuracy of gas concentration detection.

[0010] Subsequently, based on the differences between different gas concentrations, the fan speed in the range hood is controlled. By detecting the concentration of multiple gases in the fumes during cooking, the current cooking status of the smart range hood can be accurately determined, and the fan speed can be adjusted accordingly to improve the active noise reduction effect during cooking.

[0011] In some embodiments, constructing a gas proportion feature vector based on the multiple gas concentrations includes:

[0012] The temperature difference is determined based on the temperature of the oil fume inside the air inlet duct and the reference temperature of the air inlet duct.

[0013] The sensor compensation coefficient is determined based on the temperature difference, the preset temperature coefficient, and the preset characteristic parameters of the temperature sensor.

[0014] Based on the sensor compensation coefficient, the gas concentrations of the various organic compounds are compensated to obtain the compensated gas concentrations.

[0015] Based on the compensated concentrations of various gases, a gas proportion feature vector is constructed.

[0016] Through the above steps, in order to further improve the accuracy of gas concentration acquisition, the real-time oil fume concentration collected by the temperature sensor is used to compensate for the concentration of various gases, thereby improving the accuracy of gas concentration detection. This facilitates the subsequent accurate acquisition of the cooking status of the smart range hood based on the compensated gas concentration, and then precise control of the fan speed to achieve the effect of active noise reduction.

[0017] In some embodiments, the gas sensor array includes multiple gas sensors, each of which is used to acquire the gas concentration corresponding to each organic compound;

[0018] The step of compensating for the gas concentration of the various organic compounds based on the sensor compensation coefficient includes:

[0019] Obtain the resistance changes of various gas sensors in the gas sensor array;

[0020] The concentrations of various gases after compensation are determined based on the resistance change, the sensor compensation coefficient, and the preset reference clean air resistance value.

[0021] Through the above steps, since the gas sensor undergoes an oxidation-reduction reaction after adsorbing organic compound molecules, the resistance of the gas sensor will change. Therefore, the gas concentration after compensation can be determined by the change in the resistance of the gas sensor, and then the cooking status of the smart range hood can be accurately determined based on the compensated gas concentration.

[0022] In some embodiments, constructing a gas proportion feature vector based on the compensated multiple gas concentrations includes:

[0023] After obtaining the compensated concentrations of various gases, the concentration ratios between each pair of the various gas concentrations are determined.

[0024] Based on the multiple concentration ratios, a gas proportion feature vector is constructed.

[0025] Through the above steps, since different organic compounds correspond to different gas concentrations, and different cooking states correspond to different concentrations of organic compounds, the current cooking state can be determined based on the ratio of different gas concentrations corresponding to different organic compounds. This helps to eliminate the influence of other factors and improve the accuracy of judging the cooking state.

[0026] In some of these embodiments, the gas proportion feature vector includes a first feature and a second feature;

[0027] The step of controlling the fan speed in the smart range hood based on the gas proportion feature vector includes:

[0028] If it is determined that the first feature in the gas proportion feature vector does not exceed the preset first feature threshold, the fan speed in the smart range hood is controlled to be reduced to the preset first fan speed.

[0029] Through the above steps, by determining whether the first feature in the gas ratio feature vector exceeds the first feature threshold, the current cooking state is determined, and then the fan speed is controlled to be lowered / raised according to the current cooking state, thereby achieving accurate control of the intelligent range hood based on the cooking state.

[0030] In some embodiments, controlling the fan speed of the smart range hood based on the gas proportion feature vector further includes:

[0031] If it is determined that the first feature in the gas proportion feature vector exceeds a preset first feature threshold, then it is determined whether the second feature in the gas proportion feature vector exceeds a preset second feature threshold, and a determination result is obtained.

[0032] Based on the judgment result, the fan speed in the intelligent range hood is controlled.

[0033] In some embodiments, controlling the fan speed of the smart range hood based on the determination result includes:

[0034] If the judgment result indicates that the second feature in the gas proportion feature vector exceeds a preset second feature threshold, the fan speed of the smart range hood is increased to a preset second fan speed; the rotation speed corresponding to the second fan speed exceeds the rotation speed corresponding to the first fan speed.

[0035] Through the above steps, by judging whether the second feature in the gas ratio feature vector exceeds the second feature threshold, the current cooking state is determined, and then the fan speed is controlled to be lowered / raised according to the current cooking state, thereby achieving accurate control of the intelligent range hood based on the cooking state.

[0036] Secondly, this embodiment provides a smart appliance that uses the cooking control method of the smart range hood as described in any one of the first aspects to control the fan speed of the smart range hood; the smart appliance is one of a range hood and a stove-and-cooker combo.

[0037] 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 control method of the intelligent range hood described in the first aspect.

[0038] Fourthly, this embodiment provides a storage medium storing a computer program that, when executed by a processor, implements the cooking control method of the intelligent range hood described in the first aspect.

[0039] Compared to related technologies, the cooking control method and intelligent range hood provided in this embodiment utilize a gas sensor array located in the middle of the air inlet duct. This array adsorbs the already fully mixed and cooled fumes from the front half of the duct. The method then detects the concentrations of different organic compounds in the mixed fumes, obtaining multiple gas concentrations. The low-temperature, low-noise environment unique to the split-type structure of the range hood ensures thorough mixing of the fumes, improving the accuracy of gas concentration detection. Subsequently, based on the differences in gas concentrations, the fan speed of the range hood is controlled. This allows for accurate determination of the current cooking status of the intelligent range hood by detecting multiple gas concentrations in the fumes during cooking, enabling targeted control of the fan speed to improve active noise reduction during cooking.

[0040] 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

[0041] 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:

[0042] Figure 1 This is a schematic diagram of the installation structure of the intelligent range hood provided in the embodiments of this application;

[0043] Figure 2 This is a side view of the intelligent range hood provided in the embodiment of this application;

[0044] Figure 3 This is a flowchart of the cooking control method for the intelligent range hood provided in the embodiments of this application;

[0045] Figure 4 This is a flowchart of the fan speed control decision-making process provided in this specific embodiment;

[0046] Figure 5 This is a flowchart of an intelligent cooking mode control method based on long-path multi-gas ratio recognition of a split-type range hood, provided in this specific embodiment.

[0047] Reference numerals: 10, wall cabinet; 20, floor slab; 30, user kitchen ceiling; 40, smart range hood; 41, fan housing; 411, fan motor; 42, exhaust hood; 43, exhaust duct; 44, smoke collection hood panel; 45, connecting hose; 451, gas sensor array; 452, temperature sensor. Detailed Implementation

[0048] 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.

[0049] 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.

[0050] Range hoods and cooktops are essential kitchen appliances for daily cooking, and as users become increasingly focused on user experience, there's a growing emphasis on noise reduction and discreet design during cooking. This has led to the popularity of products with ceiling-mounted fan housings. While ceiling-mounted, split-type smart appliances reduce noise by housing the fan housing within the kitchen ceiling, making them slightly quieter than standard integrated range hoods, they still contribute to the overall appeal of these appliances.

[0051] However, since the fan housing of a smart range hood is placed inside the ceiling, the oil fume plume expands and dilutes continuously as it rises. By the time it reaches the ceiling, the concentration of VOCs (volatile organic compounds) per unit volume has been significantly reduced, resulting in a low signal-to-noise ratio for VOC detection. This may lead to misjudging "water vapor fluctuations" during cooking as a "fume burst," thus reducing the accuracy of the cooking status assessment.

[0052] Meanwhile, the multi-blade fan blades in ceiling-mounted smart range hoods typically have 48 to 80 blades, compared to the 5 to 18 blades commonly found in range hoods. This results in a higher blade passing frequency (BPF). Furthermore, the noise energy radiated by the impeller shifts towards the mid-to-high frequencies, falling precisely within the range most sensitive to human hearing (rather than the low-frequency band below 500Hz, which is easier to reduce with traditional active noise cancellation). Because traditional broadband noise reduction algorithms cannot accurately capture the harmonic groups generated by these densely packed blades, and because the distance between the noise source of a traditional range hood fan and the human ear is too close, the reverse sound waves are unlikely to cancel out slightly higher frequency noise. This makes ordinary active noise cancellation solutions ineffective in kitchen environments.

[0053] Furthermore, the actuators used in traditional active noise cancellation, such as microphone structures, are large and occupy valuable fluid channel space. Moreover, as diaphragm structures, they are easily contaminated by oil and require frequent maintenance or cleaning, further increasing the after-sales costs for users.

[0054] To address the issues of low accuracy in judging cooking status and the difficulty in achieving effective noise reduction with conventional active noise cancellation solutions, this embodiment provides a smart appliance. Taking a smart range hood as an example, Figure 1 This is a schematic diagram of the installation structure of the intelligent range hood provided in an embodiment of this application. (Reference) Figure 1 The intelligent range hood 40 is embedded in the semi-enclosed area formed by the wall cabinet 10 and the floor slab 20, and the fan housing 41, exhaust hood 42, and exhaust pipe 43 of the intelligent range hood 40 are located in the space formed by the floor slab 20 and the user's kitchen ceiling 30; the intelligent range hood 40 integrates a smoke collection hood panel 44. The controller is located in... Figure 1 The left side of the stroke unit housing (not shown in the picture).

[0055] Figure 2 This is a side view of the intelligent range hood provided in an embodiment of this application. (Reference) Figure 2 The air intake pipe of a smart range hood is... Figure 2 The connecting hose 45 is the channel for the smart range hood to draw in cooking fumes. The connecting hose 45, i.e. the air inlet pipe, is equipped with a gas sensor array 451 and a temperature sensor 452. The temperature sensor 452 is used to collect the temperature of the cooking fumes in the air inlet pipe. The fan housing of the smart range hood is placed in the ceiling, and the fan motor 411 is installed in the fan housing.

[0056] The aforementioned smart range hood employs a cooking control method to control the fan speed within the smart range hood; the smart appliance is one type of range hood or integrated range hood and cooktop unit. Figure 3 This is a flowchart of the cooking control method for an intelligent range hood provided in this application embodiment, such as... Figure 3 As shown, the process includes the following steps:

[0057] Step S310: During the cooking process, the concentrations of various gases in the mixed oil fumes inside the air inlet duct are obtained; the concentrations of various gases are determined by a gas sensor array after adsorbing the mixed oil fumes in the air inlet duct; the mixed oil fumes are obtained by mixing various organic compounds.

[0058] Among them, because the gas sensor array is set in the air inlet duct, Figure 2 The connecting hose is located in the middle section, so the oil fumes drawn in by the smart range hood can be fully mixed in the front part of the air inlet pipe, thereby collecting the gas concentration of various organic compounds in the fully mixed oil fumes in the air inlet pipe.

[0059] In actual cooking, the organic compounds in mixed cooking fumes generally include ethanol, acrolein, and n-decane, among which ethanol (C2H5OH) is a marker for cooking; acrolein (C3H4O) is a marker for frying; and n-decane (C...)... 10 H 22 These are indicators of stir-frying activity. Therefore, by collecting the gas concentrations of the aforementioned organic compounds using a gas sensor array, the current cooking status of the smart range hood can be determined.

[0060] Preferably, the split-type range hood is installed inside the ceiling, at a distance of more than 2m from the stove, and the airflow path in the air intake pipe is a long path, set to 1.5m to 2m, so that the oil fumes in the air intake pipe can be turbulently diffused to achieve full mixing.

[0061] Specifically, according to Fick's law of diffusion, the homogenization time of gas concentration is positively correlated with the diffusion distance, which can be expressed by the formula:

[0062] ;

[0063] Where t represents the gas concentration homogenization time, L represents the diffusion distance, and D represents the diffusion coefficient. Therefore, a longer diffusion distance allows organic compounds to mix thoroughly within the pipeline, avoiding detection fluctuations caused by airflow short-circuiting in traditional models.

[0064] The gas sensor array is set in the middle section of the ceiling-mounted connecting duct of the split range hood (more than 1.8m away from the stove), and the long-path diffusion of the air inlet pipe is used to achieve full mixing of VOCs (Volatile Organic Compounds).

[0065] Traditional range hoods are located close to the stove area, and their temperature range during cooking is generally between 60-80℃. This can increase the baseline drift of the gas sensor and reduce its lifespan. In contrast, the split-type intelligent range hood provided in this application is located in the ceiling area, and its temperature range during cooking is generally between 30-40℃, which helps to further improve the working temperature stability of the gas sensor.

[0066] Furthermore, since the temperature coefficient of resistance in the gas sensor is constant, when the ambient temperature of a split-type range hood decreases, the temperature drift error of the gas sensor is reduced by 50%, which helps to further improve the detection accuracy of gas concentration. It can be represented as:

[0067] ;

[0068] Where R represents the resistance value of the gas sensor, and T represents the ambient temperature of the gas sensor.

[0069] Therefore, by positioning the split-type intelligent range hood, the ambient temperature of the gas sensor is lowered. This allows the gas sensor to adsorb various organic compounds in the mixed cooking fumes at a lower ambient temperature, resulting in an oxidation-reduction reaction that generates a change in resistance. This change in resistance is then collected in real time by a Wheatstone bridge. The gas concentration is then determined based on the change in resistance. It can be expressed by the formula:

[0070] ;

[0071] ;

[0072] in, This indicates the factory-specified basic clean air resistance value. and This represents the characteristic parameters of the gas sensor, where i represents different types of organic compounds. Indicates gas concentration.

[0073] Therefore, the corresponding gas concentration value can be obtained by measuring the change in resistance on the gas sensor.

[0074] Step S320: Construct a gas proportion feature vector based on multiple gas concentrations; the gas proportion feature vector is used to characterize the differences between multiple gas concentrations.

[0075] In this process, after determining the gas concentrations of various organic compounds (VOCs) in the mixed cooking fumes, a fingerprint feature, namely a gas proportion feature vector, is constructed using the differences in the proportions of VOCs produced by different cooking methods. .

[0076] Based on the compensated concentrations of multiple gases, a gas proportion feature vector is constructed, including: after obtaining the compensated concentrations of multiple gases, determining multiple concentration ratios between each pair of gas concentrations; and constructing a gas proportion feature vector based on the multiple concentration ratios.

[0077] ;

[0078] For example, C1, C2, and C3 represent the gas concentrations of different types of organic compounds, such as C1 representing the gas concentration of ethanol, C2 representing the gas concentration of acrolein, and C3 representing the gas concentration of n-decane. The ratio of these different gas concentrations reflects the proportion of different organic compounds in the current mixed cooking fumes, thereby determining the corresponding cooking mode.

[0079] Through the above steps, since different organic compounds correspond to different gas concentrations, and different cooking states correspond to different concentrations of organic compounds, the current cooking state can be determined based on the ratio of different gas concentrations corresponding to different organic compounds. This helps to eliminate the influence of other factors and improve the accuracy of judging the cooking state.

[0080] Step S330: Control the fan speed in the smart range hood according to the gas ratio feature vector.

[0081] Based on different gas ratio characteristic vectors and corresponding cooking modes, the fan speed of the smart range hood is controlled to improve the user's cooking experience. At the same time, when a high fan speed is not required, the fan speed is reduced to further reduce the fan noise of the smart range hood.

[0082] Through the above steps, the gas sensor array installed in the middle of the air inlet duct adsorbs the duct fumes that have been fully mixed and cooled in the first half of the air inlet duct. Then, the gas concentrations of different organic compounds in the mixed fumes are detected to obtain multiple gas concentrations. Through the low temperature and low noise environment unique to the split structure of the range hood, the duct fumes are fully mixed, improving the accuracy of gas concentration detection.

[0083] Subsequently, based on the differences between different gas concentrations, the fan speed in the range hood is controlled. By detecting the concentration of multiple gases in the fumes during cooking, the current cooking status of the smart range hood can be accurately determined, and the fan speed can be adjusted accordingly to improve the active noise reduction effect during cooking.

[0084] In some embodiments, step S320 involves constructing a gas proportion feature vector based on multiple gas concentrations, including: determining a temperature difference based on the temperature of the oil fume inside the air inlet duct and the reference temperature of the air inlet duct; determining a sensor compensation coefficient based on the temperature difference, a preset temperature coefficient, and the characteristic parameters of a preset temperature sensor; compensating for the gas concentrations of multiple organic compounds based on the sensor compensation coefficient to obtain the compensated gas concentrations; and constructing a gas proportion feature vector based on the compensated gas concentrations.

[0085] The gas sensor array includes multiple gas sensors, each of which is used to acquire the gas concentration of a corresponding organic compound; acquire the resistance change of multiple gas sensors in the gas sensor array; and determine the compensated concentration of multiple gases based on the resistance change, sensor compensation coefficient, and preset reference clean air resistance value.

[0086] In order to further solve the temperature drift caused by the gas sensor, it is necessary to perform temperature compensation on the gas concentration of various organic compounds detected by the gas sensor. Specifically, the temperature of the oil fume in the air inlet pipe is collected by a temperature sensor installed in the middle and rear section of the air inlet pipe at a distance L≥1.5m from the lower end of the pot surface.

[0087] The temperature sensor surface is recommended to be covered with an oleophobic nano-coating (PTFE film), with an oil contact angle >110°, physically isolating oil molecule contamination. The electrostatic oil collection plate features ion wind self-cleaning (cooperative split-type electrostatic system).

[0088] After acquiring the oil fume temperature in the air inlet duct through a temperature sensor, the oil fume temperature inside the air inlet duct and the preset reference temperature of the air inlet duct (e.g., 25℃) are determined, and the temperature difference is calculated. Based on temperature difference , Pre-calibrated temperature coefficient and the preset temperature sensor characteristic parameters The sensor compensation coefficient is determined by the following formula:

[0089] ;

[0090] Furthermore, combining the above formula for determining gas concentration based on resistance change, the gas concentration is compensated to obtain compensated concentrations of various gases. This can be expressed as a formula:

[0091] .

[0092] Through the above steps, in order to further improve the accuracy of gas concentration acquisition, the real-time oil fume concentration collected by the temperature sensor is used to compensate for the concentration of various gases, thereby improving the accuracy of gas concentration detection. This facilitates the subsequent accurate acquisition of the cooking status of the smart range hood based on the compensated gas concentration, and then precise control of the fan speed to achieve the effect of active noise reduction.

[0093] Because the gas sensor undergoes an oxidation-reduction reaction after adsorbing molecules of organic compounds, the resistance of the gas sensor will change. Therefore, the gas concentration after compensation can be determined by the change in the resistance of the gas sensor, and then the cooking status of the smart range hood can be accurately determined based on the compensated gas concentration.

[0094] In some embodiments, the gas proportion feature vector includes a first feature and a second feature; step S330, controlling the fan speed of the smart range hood according to the gas proportion feature vector, includes: if it is determined that the first feature in the gas proportion feature vector does not exceed a preset first feature threshold, controlling the fan speed of the smart range hood to be reduced to a preset first fan speed.

[0095] Among them, the gas proportion eigenvector The feature includes a first feature f1, a second feature f2, and a third feature f3. For example, in practical applications, such as mixed cooking fumes including acrolein / ethanol and acrolein, the cooking state can be predicted using the first, second, and third features. This is used to distinguish between frying and steaming / boiling cooking methods; This is used to distinguish between stir-frying and steaming / boiling cooking methods; It is used to filter out interference from oil temperature fluctuations.

[0096] Traditional single-component analysis methods have only one feature dimension, which cannot distinguish cooking scenarios or determine the current cooking state. Traditional principal component analysis methods using multiple sensors for individual detection require more than ten dimensions of data, extensive training, low anti-interference capability, and matrix operations, resulting in high computational complexity. In contrast, the split-type intelligent range hood provided in this application only requires three dimensions of data compared to traditional solutions. It has high anti-interference capability and only needs to perform proportional calculations during computation, resulting in lower complexity.

[0097] Through the above steps, by determining whether the first feature in the gas ratio feature vector exceeds the first feature threshold, the current cooking state is determined, and then the fan speed is controlled to be lowered / raised according to the current cooking state, thereby achieving accurate control of the intelligent range hood based on the cooking state.

[0098] In some embodiments, step S330, which controls the fan speed of the smart range hood based on the gas ratio feature vector, further includes: if it is determined that the first feature in the gas ratio feature vector exceeds a preset first feature threshold, determining whether the second feature in the gas ratio feature vector exceeds a preset second feature threshold, and obtaining a determination result; and controlling the fan speed of the smart range hood based on the determination result.

[0099] If the judgment result shows that the second feature in the gas proportion feature vector exceeds the preset second feature threshold, the fan speed in the smart range hood is increased to the preset second fan speed; the speed corresponding to the second fan speed exceeds the speed corresponding to the first fan speed.

[0100] Through the above steps, by judging whether the second feature in the gas ratio feature vector exceeds the second feature threshold, the current cooking state is determined, and then the fan speed is controlled to be lowered / raised according to the current cooking state, thereby achieving accurate control of the intelligent range hood based on the cooking state.

[0101] The present embodiment will be described and explained below through specific examples.

[0102] Preferred, Figure 4 This is a flowchart of the fan speed control decision-making process provided in this specific embodiment. (Reference) Figure 4 In judging the first feature If the preset first characteristic threshold of 1.8 is not exceeded, the fan speed of the smart range hood is reduced to the preset first fan speed so that the current fan speed of the smart range hood is adapted to the steaming mode.

[0103] In determining the first feature If the value exceeds the preset first feature threshold of 1.8, the second feature in the gas proportion feature vector is further determined. Does it exceed the preset second characteristic threshold of 5.0? If it does, the fan speed of the smart range hood is adjusted to the preset second fan speed to adapt the current fan speed of the smart range hood to the frying mode. If it does not exceed the threshold, the fan speed of the smart range hood is increased to adapt the current fan speed of the smart range hood to the stir-fry mode.

[0104] Simultaneously, the third feature in the gas proportion feature vector is continuously detected. If the value exceeds 3.5, the fan speed of the smart range hood will be increased to adapt to the stir-fry mode.

[0105] In the preferred embodiment, the first feature threshold 1.8 is the minimum acrolein / ethanol ratio obtained by frying eggs 50 times at 180°C with olive oil, and the critical value for acrolein production from oil cracking; the second feature threshold 5.0 in the preferred embodiment is the n-decane peak value of the Maillard reaction in meat obtained by spectral analysis of stir-fried pork; and 3.5 in the preferred embodiment is the oil overheat warning line obtained by infrared thermal imaging correlation calibration.

[0106] Figure 5 This is a flowchart of the intelligent cooking mode control method based on long-path multi-gas ratio recognition of a split-type range hood provided in this specific embodiment, as shown below. Figure 5 As shown, the method includes the following steps:

[0107] When the user needs to cook, the smart range hood starts at the preset setting. If it determines that smart monitoring is not required, it switches to manual mode. If it determines that smart monitoring is required, it switches to smart mode. Simultaneously, the gas sensor array and temperature sensor of the smart range hood are preheated to 90%, and the actual oil fume temperature T in the air intake duct and the resistance change in the gas sensor are read respectively. The gas concentration is obtained, and the gas concentration is compensated based on the temperature compensation method described above to obtain the compensated gas concentration Ci (including C1, C2, and C3).

[0108] Then, based on the compensated gas concentration, the gas proportion feature vector is determined. ( Figure 5 (where F is the middle), and based on Figure 4 The control decision classification process determines the current cooking status, which in turn controls the fan speed of the smart range hood.

[0109] Specifically, in determining the first feature If the preset first characteristic threshold of 1.8 is not exceeded, the fan speed in the smart range hood is controlled to a low level, such as 800 rpm, and the fresh air system is controlled to be OFF, i.e., closed.

[0110] In determining the first feature Exceeding the preset first feature threshold of 1.8, and the second feature in the gas proportion feature vector If the preset second characteristic threshold of 5.0 is not exceeded, the fan speed in the smart range hood will be controlled to the medium level, such as 1200 rpm, and the fresh air system will be turned on after 5 minutes.

[0111] The second feature in determining the gas proportion eigenvector If the speed exceeds the preset second characteristic threshold of 5.0, the fan speed in the smart range hood will be controlled to the high level, such as 1800 rpm, and the fresh air supply will be turned on immediately.

[0112] After making the above decision, wait 2 seconds for the gas proportion feature vector. ( Figure 5 Update (F is in the middle).

[0113] It should be noted that the steps shown in the above process or in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions.

[0114] This embodiment also provides an intelligent range hood device for implementing the above embodiments and preferred embodiments; details already described will not be repeated. The terms "module," "unit," and "subunit," etc., used below refer to combinations of software and / or hardware that achieve a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0115] The intelligent range hood device includes: a main controller, and communication modules for lamp modules, temperature sensors, gas sensor arrays, switch modules, fan drive modules, and linked fresh air supply devices, as well as optional lifting drive modules (for driving the smoke hood or air inlet to lift) and storage modules, all controlled by the main controller.

[0116] The main controller in this intelligent range hood executes the cooking control method described above, controlling the fan speed of the intelligent range hood to address the issue that the accuracy of current intelligent range hood cooking status judgment needs improvement.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0121] S1, during the cooking process, the concentrations of various gases in the mixed oil fumes inside the air intake duct are obtained; the concentrations of various gases are determined by a gas sensor array after adsorbing the mixed oil fumes in the air intake duct; the mixed oil fumes are obtained by mixing various organic compounds.

[0122] S2, based on multiple gas concentrations, constructs a gas proportion feature vector; the gas proportion feature vector is used to characterize the differences between multiple gas concentrations.

[0123] S3 controls the fan speed in the smart range hood based on the gas proportion feature vector.

[0124] 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.

[0125] Furthermore, in conjunction with the cooking control method for the intelligent range hood provided in the above embodiments, this embodiment can also provide a storage medium. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the cooking control methods for the intelligent range hood described in the above embodiments.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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 control method for an intelligent range hood, characterized in that, The fan housing of the intelligent range hood is installed in the ceiling; a gas sensor array and a temperature sensor are installed in the middle of the air inlet duct of the intelligent range hood, the temperature sensor being used to collect the temperature of the oil fumes in the air inlet duct; the method includes: During the cooking process, the concentrations of various gases in the mixed oil fumes inside the air inlet duct are obtained; the concentrations of these various gases are determined by the gas sensor array after adsorbing the mixed oil fumes in the air inlet duct; the mixed oil fumes are obtained by mixing various organic compounds. Based on the concentrations of the various gases, a gas ratio feature vector is constructed; the gas ratio feature vector is used to characterize the differences between the concentrations of the various gases. The fan speed in the intelligent range hood is controlled based on the gas ratio feature vector.

2. The cooking control method for an intelligent range hood according to claim 1, characterized in that, The construction of a gas proportion feature vector based on the concentrations of the various gases includes: The temperature difference is determined based on the temperature of the oil fume inside the air inlet duct and the reference temperature of the air inlet duct. The sensor compensation coefficient is determined based on the temperature difference, the preset temperature coefficient, and the preset characteristic parameters of the temperature sensor. Based on the sensor compensation coefficient, the gas concentrations of the various organic compounds are compensated to obtain the compensated gas concentrations. Based on the compensated concentrations of various gases, a gas proportion feature vector is constructed.

3. The cooking control method for an intelligent range hood according to claim 2, characterized in that, The gas sensor array includes multiple gas sensors, each of which is used to acquire the gas concentration of a corresponding organic compound; The step of compensating for the gas concentration of the various organic compounds based on the sensor compensation coefficient includes: Obtain the resistance changes of various gas sensors in the gas sensor array; The concentrations of various gases after compensation are determined based on the resistance change, the sensor compensation coefficient, and the preset reference clean air resistance value.

4. The cooking control method for an intelligent range hood according to claim 2, characterized in that, The construction of a gas proportion feature vector based on the compensated concentrations of multiple gases includes: After obtaining the compensated concentrations of various gases, the concentration ratios between each pair of the various gas concentrations are determined. Based on the multiple concentration ratios, a gas proportion feature vector is constructed.

5. The cooking control method for an intelligent range hood according to any one of claims 1 to 4, characterized in that, The gas proportion feature vector includes a first feature and a second feature; The step of controlling the fan speed in the smart range hood based on the gas proportion feature vector includes: If it is determined that the first feature in the gas proportion feature vector does not exceed the preset first feature threshold, the fan speed in the smart range hood is controlled to be reduced to the preset first fan speed.

6. The cooking control method for an intelligent range hood according to claim 5, characterized in that, The step of controlling the fan speed in the intelligent range hood based on the gas proportion feature vector further includes: If it is determined that the first feature in the gas proportion feature vector exceeds a preset first feature threshold, then it is determined whether the second feature in the gas proportion feature vector exceeds a preset second feature threshold, and a determination result is obtained. Based on the judgment result, the fan speed in the intelligent range hood is controlled.

7. The cooking control method for an intelligent range hood according to claim 6, characterized in that, The step of controlling the fan speed in the smart range hood based on the judgment result includes: If the judgment result indicates that the second feature in the gas proportion feature vector exceeds a preset second feature threshold, the fan speed of the smart range hood is increased to a preset second fan speed; the rotation speed corresponding to the second fan speed exceeds the rotation speed corresponding to the first fan speed.

8. A smart appliance, characterized in that, The cooking control method of the intelligent range hood as described in any one of claims 1 to 7 is used to control the fan speed of the intelligent range hood; the intelligent appliance is one of a range hood and a stove-and-hood combo.

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 control method of the intelligent range hood according to any one of claims 1 to 7.

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 control method of the intelligent range hood according to any one of claims 1 to 7.

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