Control method and device of intelligent range hood and intelligent range hood

By setting up a thermopile array on the bottom of the smart range hood, and using temperature gradient and eddy current values ​​to recognize gesture features, the problem of reduced sensitivity of optical sensors due to oil stains is solved, achieving higher recognition accuracy and faster response speed.

CN121782613APending Publication Date: 2026-04-03NINGBO FOTILE KITCHEN WARE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-08
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

Existing intelligent range hood control methods have weak anti-interference capabilities, especially the optical sensors whose recognition sensitivity decreases after oil and dirt accumulates, resulting in a high detection failure rate.

Method used

A thermopile array is set on the bottom of the smart range hood. Gesture features are identified by temperature gradient and eddy current value. The thermopile array is used to measure the temperature field between the smart range hood and the stove, and the eddy current value is calculated to identify the gesture, which breaks through the limitations of displacement detection in traditional methods.

Benefits of technology

It improves the accuracy of gesture recognition in oily environments, reduces the impact of oil on recognition, and achieves higher anti-interference ability and faster response speed.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a control method and device of an intelligent range hood and the intelligent range hood, a thermopile array is arranged on the bottom face of the intelligent range hood, and the method comprises the steps that the temperature gradient of a temperature field between the intelligent range hood and a cooking bench is obtained according to output signals of the thermopile array; according to the temperature gradient, a vorticity value in the temperature field is obtained through calculation; comparing the vorticity value with a preset vorticity value interval, and judging whether gesture features are recognized or not according to a comparison result; and if yes, the operation state of the intelligent range hood is adjusted according to the recognized gesture features. By adopting the method, the problem of weak anti-interference capability of the intelligent range hood control method can be solved.
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Description

Technical Field

[0001] This application relates to the field of intelligent range hood control, and in particular to control methods, devices, and intelligent range hoods. Background Technology

[0002] Range hoods are essential appliances for daily cooking, used to remove cooking fumes. As people's living standards improve, traditional lifestyles are changing, and home appliances are increasingly becoming more intelligent. While bringing greater convenience, the functions of various appliances are also becoming more diversified. Therefore, range hood panels often feature both touch and gesture switches, allowing for dual interaction with the appliance. Considering the accumulation of grease and grime on range hoods, users interact more frequently using gestures such as hand gestures compared to touch switches.

[0003] In related technologies, to achieve gesture interaction, optical sensors are often used to recognize gestures. This requires setting up multiple modules on both sides of the range hood to control power on / off and speed adjustment. When placing multiple modules on the panel, reserved windows are needed. However, accumulated grease can easily affect the recognition sensitivity of optical sensors, leading to a high detection failure rate.

[0004] There is currently no effective solution to the problem of weak anti-interference capability in the control methods of intelligent range hoods in related technologies. Summary of the Invention

[0005] Therefore, it is necessary to provide a control method, device, and intelligent range hood that can solve the problem of weak anti-interference capability of intelligent range hood control methods, in order to address the above-mentioned technical problems.

[0006] Firstly, this embodiment provides a control method for an intelligent range hood, wherein a thermopile array is disposed on the bottom surface of the intelligent range hood, and the method includes:

[0007] The temperature gradient of the temperature field between the smart range hood and the stove is obtained based on the output signal of the thermopile array.

[0008] The vorticity value within the temperature field is calculated based on the temperature gradient.

[0009] Compare the vorticity value with a preset vorticity value range, and determine whether the gesture feature has been recognized based on the comparison result;

[0010] If so, the operating status of the smart range hood is adjusted according to the recognized gesture features.

[0011] In some embodiments, the temperature gradient of the temperature field between the smart range hood and the cooktop is obtained based on the output signal of the thermopile array, including:

[0012] Construct a temperature matrix within the temperature field based on the output signal;

[0013] Calculate the temperature gradient based on the first change trend of each grid point in the first horizontal direction and the second change trend of each grid point in the second horizontal direction within the temperature matrix; wherein, the first horizontal direction and the second horizontal direction are orthogonal.

[0014] In some embodiments, constructing the temperature matrix within the temperature field based on the output signal includes:

[0015] Convert the output signals of each thermopile sensor in the thermopile array into temperature values;

[0016] Construct the temperature matrix based on the temperature values and the spatial positions of the corresponding thermopile sensors.

[0017] In some embodiments, calculating the vorticity value within the temperature field based on the temperature gradient includes:

[0018] Convert the temperature gradient into an air flow velocity vector based on the heat conduction characteristics;

[0019] Calculate the first change velocity of the air flow velocity vector in the second horizontal direction in the first horizontal direction, and the second change velocity of the air flow velocity vector in the first horizontal direction in the second horizontal direction;

[0020] Identify the vorticity value based on the difference between the first change velocity and the second change velocity.

[0021] In some embodiments, before comparing the vorticity value with a preset vorticity value range, the method further includes:

[0022] Calculate a change rate based on the change of the vorticity value over time;

[0023] When the change rate is greater than a change rate threshold, calculate the steam rising speed between the smart range hood and the cooking stove based on the temperature gradient;

[0024] When the steam rising speed is less than or equal to a first speed threshold, compare the vorticity value with the preset vorticity value range;

[0025] When the steam rising speed is greater than the first speed threshold and the acceleration of the steam rising speed is greater than an acceleration threshold, increase the operating power of the smart range hood to a preset power;

[0026] If the steam rising speed is greater than a first speed threshold and the acceleration of the steam rising speed is less than or equal to an acceleration threshold, the airflow level of the smart range hood is increased.

[0027] In some embodiments, after adjusting the operating state of the smart range hood based on the recognized gesture features, the method further includes:

[0028] Based on the temperature gradient, the steam rise rate between the smart range hood and the stove is calculated;

[0029] Determine the velocity threshold range corresponding to the steam rise velocity;

[0030] Adjust the airflow level of the smart range hood to the level corresponding to the speed threshold range; wherein, the greater the steam rising speed, the greater the airflow of the smart range hood.

[0031] In some embodiments, after adjusting the operating state of the smart range hood based on the recognized gesture features, the method further includes:

[0032] Construct a temperature matrix within the temperature field based on the output signal;

[0033] Based on the temperature gradient, the steam rise rate between the smart range hood and the stove is calculated;

[0034] The alarm mode of the smart range hood is triggered when the steam rising speed is less than or equal to the second speed threshold and the maximum temperature value in the temperature matrix is ​​greater than the preset temperature threshold.

[0035] In some embodiments, the method further includes:

[0036] Construct a temperature matrix within the temperature field based on the output signal;

[0037] Once the gesture features are identified, the gesture center height is obtained based on the temperature matrix;

[0038] The operating height of the smart range hood is adjusted based on the height of the gesture center.

[0039] Secondly, this embodiment provides a control device for an intelligent range hood, the device comprising:

[0040] The gradient calculation module is used to obtain the temperature gradient of the temperature field between the smart range hood and the stove based on the output signal of the thermopile array; wherein, the thermopile array is disposed on the bottom surface of the smart range hood;

[0041] The vortex calculation module is used to calculate the vortex value in the temperature field based on the temperature gradient.

[0042] The judgment module is used to compare the vorticity value with a preset vorticity value range, and determine whether the gesture feature has been recognized based on the comparison result;

[0043] An adjustment module is used to adjust the airflow of the smart range hood according to the gesture features when the gesture features are recognized.

[0044] Thirdly, this embodiment provides an intelligent range hood, wherein the thermopile array is disposed on the bottom surface of the intelligent range hood, and the intelligent range hood adopts the control method of the intelligent range hood described in the first aspect above.

[0045] The aforementioned control method, device, and intelligent range hood achieve accurate identification of the temperature gradient between the intelligent range hood and the stove by setting a thermopile array on the bottom surface of the intelligent range hood. The vorticity value is calculated based on the temperature gradient, and the gesture features are identified based on the vorticity value. This breaks through the limitations of traditional methods that use displacement for gesture detection and improves the anti-interference ability of the range hood when recognizing gestures. Attached Figure Description

[0046] Figure 1 This is an application environment diagram of the control method for an intelligent range hood in one embodiment;

[0047] Figure 2 This is a flowchart illustrating the control method of a smart range hood in one embodiment;

[0048] Figure 3 This is a schematic diagram of the installation of a thermopile array in one embodiment;

[0049] Figure 4 This is a schematic diagram of the control and detection of a smart range hood in one embodiment;

[0050] Figure 5 This is a schematic diagram illustrating the process of controlling the motherboard to control the smart range hood in one embodiment;

[0051] Figure 6 This is a schematic diagram of a height calibration method in one embodiment;

[0052] Figure 7 This is a schematic diagram illustrating the adjustment of the height of the smoke hood or air intake in one embodiment;

[0053] Figure 8 This is a schematic diagram illustrating the connection between the control motherboard and other modules of the smart range hood in one embodiment.

[0054] Figure 9 This is a structural block diagram of the control device for a smart range hood in one embodiment;

[0055] Figure 10 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0057] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal of a control method for an intelligent range hood according to an embodiment of this application. For example... Figure 1 As shown, a terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0058] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the control method of the intelligent range hood in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0059] The transmission device 106 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0060] This embodiment provides a control method for an intelligent range hood, in which a thermopile array is installed on the bottom surface of the intelligent range hood. A miniature thermopile array sensor can be integrated into the bottom of the range hood panel or the smoke collection hood. Optionally, the thermopile array is installed in the area near the airflow channel below the smoke collection hood or panel, with the thermopile array facing downwards to detect temperature and at a certain height above the cooktop surface. Furthermore, the surface of the thermopile array is covered with a transparent protective layer that is high-temperature resistant and oil-resistant. The thermopile's resistance to oil interference based on temperature detection is significantly improved compared to traditional infrared window gesture detection methods. For example, taking an oil layer accumulation of less than 0.3mm on the protective cover as an example, the oil layer on the protective cover affects the infrared transmission of the thermopile sensor by less than 5%, while the failure rate of ordinary optical sensors is greater than 70% when an oil layer accumulates on the protective cover.

[0061] Figure 2 This is a flowchart of the control method for the intelligent range hood in this embodiment, as shown below. Figure 2 As shown, the method includes:

[0062] Step 202: Based on the output signal of the thermopile array, obtain the temperature gradient of the temperature field between the smart range hood and the stove.

[0063] The thermopile array includes multiple thermoelectric sensors, which are used to non-contactly measure the temperature distribution in the area between the smart range hood and the stove.

[0064] Optionally, the thermopile array absorbs the infrared radiation from the tested stove, generating a voltage signal proportional to temperature based on the Seebeck effect. This voltage signal is then amplified and converted from analog to digital to obtain the output signal. Based on the sensitivity of the thermopile array and the reference temperature of the sensors within it, the temperature corresponding to each pixel in the array is calculated. The temperatures of each pixel are then integrated to obtain a temperature matrix of the temperature field. Finally, the temperature gradient is calculated based on the rate of change of each element in the temperature matrix.

[0065] Step 204: Calculate the vorticity value in the temperature field based on the temperature gradient.

[0066] Eddy power is used to represent the degree of local rotation of an air mass within a temperature field. The absolute value of the eddy power reflects the strength of the rotation, while the sign of the eddy power indicates the direction of rotation. When a user applies a gesture, the temperature gradient of the temperature field changes. The curl of the velocity field between the smart range hood and the cooktop can then be calculated based on the rate of change of the temperature gradient in each direction, and the eddy power can be calculated from the curl of the velocity field.

[0067] Step 206: Compare the vorticity value with the preset vorticity value range, and determine whether the gesture feature has been recognized based on the comparison result.

[0068] The preset vorticity range refers to the range of vorticity values ​​that may be generated in the temperature field when a user applies a specified gesture. Gesture characteristics include, but are not limited to, the direction and amplitude of the gesture. For example, when the gesture is a leftward wave, the temperature gradient decreases in the direction of the +x-axis, and the corresponding preset vorticity range is -8.2 ± 1.5 rad / s; when the gesture is a rightward wave, the temperature gradient decreases in the direction of the -x-axis, and the corresponding preset vorticity range is +7.6 ± 1.3 rad / s. The preset vorticity range can be obtained through multiple experiments, and no numerical limit is imposed on the preset vorticity range here.

[0069] Optionally, multiple preset vortex value ranges corresponding to gesture features are obtained, and it is determined whether the vortex value is within any preset vortex value range. If so, it is determined that the gesture feature has been recognized; otherwise, it is determined that the surgical feature has not been recognized.

[0070] Step 208: If yes, adjust the operating status of the smart range hood according to the recognized gesture features.

[0071] Different gestures correspond to different operating states. Adjusting the operating state of a smart range hood includes, but is not limited to, one or more of the following: turning the smart range hood on and off, adjusting the suction power of the smart range hood, adjusting the lights of the smart range hood, etc.

[0072] In the above-mentioned control method for intelligent range hoods, the temperature gradient is measured by a thermopile array. Based on the influence of gestures on the temperature field, the temperature gradient is converted into vorticity values. A direct correspondence is established between vorticity in fluid mechanics and gesture characteristics. This breaks through the limitations of traditional methods that use displacement for gesture detection. It also avoids the problem of reduced recognition sensitivity of optical sensors due to oil accumulation, thus improving the anti-interference ability of intelligent range hoods when recognizing gestures.

[0073] In one embodiment, obtaining the temperature gradient of the temperature field between the smart range hood and the stove according to the output signal of the thermopile array includes: constructing a temperature matrix within the temperature field according to the output signal; calculating the temperature gradient according to the first change trend of each grid point in the first horizontal direction and the second change trend of each grid point in the second horizontal direction in the temperature matrix; where the first horizontal direction and the second horizontal direction are orthogonal.

[0074] Where the first horizontal direction and the second horizontal direction can be set according to the installation requirements of the smart range hood. Optionally, the first horizontal direction can be the x-axis and the second horizontal direction is the y-axis orthogonal to the x-axis; or, the first horizontal direction can be the y-axis and the second horizontal direction is the x-axis orthogonal to the y-axis.

[0075] Optionally, after constructing the temperature matrix, spatial filtering preprocessing can also be performed on the space where the temperature matrix is located to remove noise in the data and improve the accuracy of temperature gradient calculation.

[0076] Optionally, solve the partial derivative of the collected temperature corresponding to each grid point in the first horizontal direction to obtain the first change trend; solve the partial derivative of the collected temperature corresponding to each grid point in the second horizontal direction to obtain the second change trend, and obtain the temperature gradient.

[0077] Exemplarily, the temperature gradient The calculation formula is as follows:

[0078] ;

[0079] Where, Δx is the distance between adjacent grid points on the x-axis, and Δy is the distance between adjacent grid points on the y-axis.

[0080] Further, in one embodiment, constructing the temperature matrix within the temperature field according to the output signal includes: converting the output signals of each thermopile sensor in the thermopile array into temperature values; constructing a temperature matrix based on the temperature values and the spatial positions of the corresponding thermopile sensors.

[0081] Where the formula for the thermopile output signal is as follows:

[0082] ;

[0083] Where, is the thermopile output signal, is the thermopile sensitivity, and a typical value can be selected as 50 μV / °C; is the temperature collected by the sensor corresponding to the grid point (i, j) in the thermopile array, where i is the row index of the sensor in the thermopile array and j is the column index of the sensor in the thermopile array; The reference end temperature is measured by a reference temperature sensor built into the thermopile.

[0084] Based on the formula for the thermopile output signal, and given the output signal, sensitivity, and reference junction temperature, it is possible to deduce the following: By integrating the temperatures collected by various sensors, a temperature matrix is ​​constructed.

[0085] In this embodiment, since the thermopile array can quickly capture temperature changes through infrared light, it can avoid the failure problem of traditional optical sensors due to oil stains. At the same time, it can also convert the voltage signal output by the thermopile array into a temperature gradient, thereby accurately and quickly capturing the influence of the human hand temperature on the temperature distribution between the smart range hood and the stove when the user makes a gesture, thus improving the accuracy and response speed of the smart range hood control.

[0086] In one embodiment, calculating the vorticity value within the temperature field based on the temperature gradient includes: converting the temperature gradient into an airflow velocity vector based on thermal conductivity characteristics; calculating a first rate of change of the airflow velocity vector in the second horizontal direction in the first horizontal direction, and a second rate of change of the airflow velocity vector in the first horizontal direction in the second horizontal direction; and identifying the vorticity value based on the difference between the first rate of change and the second rate of change.

[0087] Here, thermal conductivity refers to the ability of a medium to transfer heat when a temperature gradient exists. Optionally, a pre-constructed physical model based on Fourier's law of thermal conductivity is obtained, and the physical model follows the following formula:

[0088] ;

[0089] T represents the temperature field distribution (°C) between the smart range hood and the cooktop, i.e., the calculated temperature gradient; t represents time (s); and α represents the air thermal diffusivity (≈2.2 × 10⁻⁶). -5 m² / s); This represents the airflow velocity vector (m / s). The temperature gradient is input into the physical model to obtain the airflow velocity vector. .

[0090] The vorticity value is used to indicate vortex intensity. The first rate of change is the rate of change of the velocity in the first horizontal direction in the second horizontal direction; the second rate of change is the rate of change of the velocity in the second horizontal direction in the first horizontal direction. Optionally, the first rate of change is obtained by solving for the partial derivative of the airflow velocity vector in the second horizontal direction with respect to the first horizontal direction; the second rate of change is obtained by solving for the partial derivative of the airflow velocity vector in the first horizontal direction with respect to the second horizontal direction; the temperature gradient is obtained from the difference between the first and second rates of change.

[0091] For example, the first horizontal direction is the direction of the x-axis, the second horizontal direction is the direction of the x-axis, and the vorticity value is calculated as follows:

[0092] ;

[0093] in, The vorticity is the value along the vertical z-axis, and its magnitude is proportional to the magnitude of the temperature gradient. and direction . This is the airflow velocity vector in the second horizontal direction; This is the airflow velocity vector in the first horizontal direction.

[0094] In this embodiment, the temperature gradient is converted into eddy current value. By calculating the spatiotemporal changes of the eddy current value, the gesture motion trajectory is reconstructed, thereby improving the accuracy of gesture recognition in oily environments.

[0095] Furthermore, based on the sign of the vorticity value, it can be determined whether the gesture is a rightward or leftward wave. Specifically, when the gesture is a left-to-right movement, i.e., a rightward wave, the vorticity value is [value missing] when the hand pushes the airflow to generate a clockwise rotating vortex. The vorticity value is calculated as follows:

[0096] ;

[0097] When the gesture is a right-to-left movement, i.e., a leftward wave, the vortex value is [value missing]. The vorticity value is calculated as follows:

[0098] ;

[0099] For example, when the gesture is a rightward wave, the fan speed is increased; when the gesture is a leftward wave, the fan speed is decreased. The correspondence between gesture characteristics and the operating status of the smart range hood can be set according to different needs.

[0100] For example, to improve the accuracy of gesture recognition, after determining whether the gesture is a right or left wave based on the sign of the vortex value, the center position of the vortex in the flow field is located, the stream function of the vortex is solved, and the velocity field is reconstructed. The vortex core's motion path over time is tracked by trajectory integration in the velocity field, thereby accurately identifying the gesture features and improving the accuracy of intelligent range hood control.

[0101] To further differentiate between different gestures, in one embodiment, before comparing the vorticity value with a preset vorticity value range, the method further includes: calculating the rate of change of the vorticity value over time; if the rate of change is greater than a rate of change threshold, calculating the steam rising speed between the smart range hood and the stove based on the temperature gradient; if the steam rising speed is less than or equal to a first speed threshold, comparing the vorticity value with a preset vorticity value range; if the steam rising speed is greater than the first speed threshold and the acceleration of the steam rising speed is greater than an acceleration threshold, increasing the operating power of the smart range hood to a preset power; if the steam rising speed is greater than the first speed threshold and the acceleration of the steam rising speed is less than or equal to an acceleration threshold, increasing the airflow level of the smart range hood.

[0102] The rate of change threshold is the rate of change of vorticity over time when the gesture is characterized by a fast waving speed. When the rate of change is greater than the threshold, the gesture can be identified as a rapid wave; otherwise, the gesture is not considered a rapid wave. Optionally, the rate of change of vorticity with time is calculated by taking the partial derivative of the vorticity value with respect to time. , which is the rate of change of vorticity over time.

[0103] The first speed threshold is the rate of vapor rise when hot oil comes into contact with food, resulting in a large amount of volatile steam between the stove and the smart range hood. Optionally, the steam rise rate can be calculated based on the temperature gradient using the following formula:

[0104] ;

[0105] in, The steam rise velocity (m / s) As a calibration coefficient, k is related to the installation height of the smart range hood and can be obtained through prior testing and calibration. Optionally, increasing the operating power of the smart range hood to the preset power includes: increasing the airflow of the smart range hood to the maximum airflow, and / or, increasing the wind pressure of the smart range hood to the maximum wind pressure.

[0106] In this embodiment, when the gesture is a rapid wave, if the steam rising speed is greater than a first speed threshold and the acceleration of the steam rising speed is greater than an acceleration threshold, increasing the operating power of the smart range hood to a preset power can improve instantaneous smoke extraction efficiency and meet cooking needs. If the steam rising speed is greater than the first speed threshold, but the acceleration of the steam rising speed is less than or equal to the acceleration threshold, then there is a large amount of steam between the stove and the smart range hood, but the steam change phase is stable, and increasing the fan speed of the smart range hood is sufficient to handle the current cooking state. Correspondingly, if the steam rising speed is less than or equal to the first speed threshold, there is no need to increase the operating power of the smart range hood to a preset power. Furthermore, by recognizing gesture features through a preset vortex value range, the possibility of misjudgment due to a rapid wave by the user can be reduced.

[0107] In one embodiment, after adjusting the operating state of the smart range hood based on the recognized gesture features, the method further includes: calculating the steam rising speed between the smart range hood and the stove based on the temperature gradient; determining the speed threshold range corresponding to the steam rising speed; and adjusting the airflow level of the smart range hood to the level corresponding to the speed threshold range; wherein, the greater the steam rising speed, the greater the airflow of the smart range hood.

[0108] When the steam rises at a low speed, minimal oil fumes are produced during cooking. Adjusting the fan speed of the smart range hood to a low setting reduces the airflow, meeting the current cooking needs. When the steam rises at a high speed, a certain amount of oil fumes are produced. Increasing the fan speed of the smart range hood to a higher setting increases its operating power, meeting the current cooking needs.

[0109] Furthermore, if the steam rising speed is greater than the first speed threshold, the steam rising change rate can be calculated. If the steam rising change rate is greater than the corresponding preset threshold, the operating power of the smart range hood can be increased to the preset power to improve control accuracy.

[0110] In this embodiment, after adjusting the operating status of the smart range hood based on non-contact gesture interaction, the air volume can be intelligently adjusted according to the steam rising speed to meet various cooking needs.

[0111] In one embodiment, after adjusting the operating state of the smart range hood based on the recognized gesture features, the method further includes: constructing a temperature matrix within the temperature field based on the output signal; calculating the steam rise rate between the smart range hood and the stove based on the temperature gradient; and triggering an alarm mode for the smart range hood when the steam rise rate is less than or equal to a second speed threshold and the maximum temperature value in the temperature matrix is ​​greater than a preset temperature threshold.

[0112] The preset temperature threshold is the temperature reached when the cooking cookware is dry-burning. If the steam rise rate is low and high temperatures exist in the temperature matrix, there is a possibility that the cooking utensils on the stovetop may dry-burn. Optionally, the alarm mode includes one or more of the following: outputting a preset voice message, adjusting the lighting mode in the smart range hood, or sending a preset message to the user terminal associated with the smart range hood.

[0113] In this embodiment, the steam rise rate is combined with the temperature matrix to determine the dry burning condition, thereby improving the safety of the cooking process.

[0114] In one embodiment, the method further includes: constructing a temperature matrix within the temperature field based on the output signal; obtaining the gesture center height based on the temperature matrix when gesture features are recognized; and adjusting the operating height of the smart range hood based on the gesture center height.

[0115] Optionally, the gesture center height can be determined based on the extreme points in the temperature matrix, or the regions in the temperature matrix with the largest abrupt changes in temperature gradient or abnormal directions. Based on the correlation between the gesture center height and the height of the smart range hood, the required adjustable height of the smart range hood is calculated, and a control signal is output to drive the lifting motor of the smart range hood to adjust to the target height.

[0116] In this embodiment, the height of the intelligent range hood is automatically adjusted based on the gesture center height, improving the user's cooking comfort.

[0117] In one embodiment, a smart range hood is provided, wherein the thermopile array is disposed on the bottom surface of the smart range hood, and the smart range hood implements the steps in the above-described method embodiments.

[0118] In one embodiment, Figure 3 A schematic diagram of the installation of a thermopile array is provided, such as... Figure 3 As shown, the intelligent range hood features a smoke collection hood and air inlet beneath its fan frame. The smoke collection hood or air inlet can be raised and lowered along the fan frame. Near the airflow channel at the bottom of the intelligent range hood, a 5×5 miniature thermopile array is embedded. This thermopile array consists of 5×5 planar grid units, approximately 100mm×100mm in size, with each unit spaced 20mm apart (Δx=20mm, Δy=20mm). It is positioned at a certain height above the cooktop and covered with a high-temperature resistant, oil-resistant transparent protective cover, such as 0.5mm glass (temperature resistance >300℃), facing downwards to detect the temperature of the hot steam. The distance between the thermopile array and the cooktop surface can be within a range of 600±50mm.

[0119] based on Figure 3 The thermopile array shown, Figure 4 A schematic diagram of the control and detection of an intelligent range hood is provided, such as... Figure 4As shown, the stove and cooking pots generate hot steam, forming an upward steam flow field; the thermopile array detects the temperature distribution of the upward steam flow field. The user's gestures can disturb the flow field and change the temperature distribution. A signal processor for receiving the thermopile array signal is located at the bottom of the range hood panel. The control board obtains the output signal from the thermopile array from the signal processor and controls the intelligent range hood. The control board can adjust the airflow of the intelligent range hood's fan system, and the range hood's display panel provides feedback on the current operating status of the control board.

[0120] Figure 5 A flowchart illustrating the control process of a motherboard for a smart range hood is provided, such as... Figure 5 As shown, when the smart range hood is turned on, the thermoelectric array scans and acquires the temperature matrix, calculates the temperature gradient based on the temperature matrix, and calculates the vorticity value within the temperature field based on the temperature gradient. It then determines whether there is a sudden change in vorticity. Optionally, if the vorticity value changes by a specified amount within a specified time period, a sudden change in vorticity is determined to exist; otherwise, no sudden change in vorticity is determined to exist.

[0121] If no vorticity abrupt change is detected, the thermopile array continues scanning. If a vorticity abrupt change is detected, the gesture direction and corresponding gesture type are identified. Optionally, Table 1 provides a gesture recognition rule:

[0122] Table 1

[0123]

[0124] Here, x represents the user's waving direction. When Δx / Δt > 0.2 m / s, the corresponding gesture type is a rightward wave at normal speed, which can be determined by whether the vortex value is greater than 0; when Δx / Δt < -0.2 m / s, the corresponding gesture type is a leftward wave at normal speed, which can be determined by whether the vortex value is less than 0; when the rate of change of the wave is greater than the rate of change threshold, the corresponding gesture type is a rapid wave, which can be determined by the rate of change of the vortex value. To determine this, where 5 is the rate of change threshold in the above embodiments.

[0125] If the gesture is identified as a wave to the left, the fan speed is reduced; if the gesture is identified as a wave to the right, the fan speed is increased. The rate of change of the vortex value over time is calculated, and the steam rising speed between the smart range hood and the cooktop is calculated. If the gesture is determined to be a rapid wave based on the rate of change, and the steam rising speed is greater than a first speed threshold... When the system is in an accelerated state, the stir-fry mode is activated. In stir-fry mode, the operating power of the smart range hood is increased to the preset power. If the steam rising speed is less than or equal to the first speed threshold, the fan speed is increased.

[0126] After recognizing the gesture, the system simultaneously analyzes the steam rising speed and automatically adjusts the airflow level.

[0127] Optionally, the fan is activated, and the airflow display is updated. The automatic airflow adjustment rules are as follows:

[0128] ;

[0129] in, , Two preset speed thresholds, Less than , Less than , This is a first velocity threshold; The steam rise rate, denoted as , where is the acceleration of the rising steam, and 2 is the threshold value corresponding to the rate of change of the rising steam. , , The thresholds 1 and 2 can be modified as needed.

[0130] Furthermore, the control board can also implement a dry-burn warning: when a dry-burn warning is detected... but When this occurs, an alarm is triggered:

[0131] ;

[0132] Wherein, Ta is the preset temperature threshold in the above embodiments. This represents the maximum temperature value in the temperature matrix.

[0133] The control method in this embodiment can avoid the problems of traditional optical sensors failing due to oil stains and the mismatch between manual airflow adjustment and cooking status. At the same time, it can improve the accuracy of gesture recognition in oily environments to over 95%, shorten the response time of automatic airflow adjustment to within 0.5 seconds, and improve the accuracy of stir-fry mode recognition to over 90%.

[0134] Furthermore, the control board can recognize gestures and determine height based on the gesture's height coordinates. Simultaneously, it adjusts the height of the smoke hood or air intake while automatically adjusting the airflow level. The target height of the smoke hood or air intake is... as follows:

[0135] ;

[0136] in, The default height; The height of the gesture center can be obtained through a thermopile array; The reference height can be obtained in the laboratory beforehand or through initial installation calibration; This is a proportionality coefficient, which is an empirical value obtained from previous laboratory work, such as 0.8. Figure 6 A schematic diagram of a height calibration method is provided, such as... Figure 6 As shown, a first-time use prompt is generated, prompting the user to wave through the detection zone and recording the gesture height. Determine if the gesture height is within a reasonable range. If so, set... for and store If not, a recalibration prompt will be given.

[0137] Figure 7 A schematic diagram is provided for adjusting the height of the smoke hood or air intake, such as... Figure 7 As shown, this includes: recording the current gesture center height when a valid gesture is detected. ; Calculate height deviation: ; Calculate the target elevation or depression height based on the elevation deviation, where the target elevation is: Drive the actuator. For example, drive the lifting motor to adjust to the target height. The display interface of the smart range hood is updated. Optionally, the control board can also recognize the gesture type, calculate the target height, and synchronously execute the steps of adjusting the air volume and driving the actuator of the smart range hood, and update the display interface of the smart range hood. Table 2 provides a height adjustment table for a smart range hood:

[0138] Table 2

[0139]

[0140] Figure 8 A connection diagram between the control motherboard and other modules of the smart range hood is provided, such as... Figure 8 As shown, the control motherboard and main controller are included. The smart range hood can also be equipped with a light module, thermopile array, storage module, switch module, fan drive module, communication module, and lifting drive module that communicate with the control motherboard. Specifically, when the alarm mode of the smart range hood is triggered, the light module and communication module can operate based on a preset alarm mode; the lifting drive module is used to drive the raising and lowering of the smoke hood or air inlet according to the height of the gesture center; the switch module is used to adjust the opening and closing of the smart range hood; the fan drive module is used to adjust the fan speed; and the storage module is used to store data generated by the control motherboard during operation. Through the execution of multiple control functions by these modules, the intelligent control of the range hood is achieved, providing a better intelligent interactive experience and improving the user experience of using this smart appliance.

[0141] For example, if the control motherboard does not have the function of adjusting the height of the range hood according to the height of the gesture center, the smart range hood may not need to be equipped with a lifting drive module.

[0142] In this embodiment, by integrating a micro thermopile array sensor into the panel or bottom of the smart range hood, the hot steam flow field generated by the cooktop is used as a gesture detection medium. Gestures are recognized by reconstructing the airflow vortex trajectory through temperature gradient changes. Simultaneously, the steam flow rate is analyzed to calculate cooking safety inside the pot, and gestures are used to detect whether the height of the fume hood or air inlet needs adjustment, automatically adapting to the user's height and improving cooking ergonomics. This enhances resistance to oil stains while achieving the dual technical effects of non-contact gesture interaction and intelligent airflow linkage.

[0143] Based on the same inventive concept, this application also provides a control device for an intelligent range hood that implements the control method for the intelligent range hood described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the control device for the intelligent range hood provided below can be found in the limitations of the control method for the intelligent range hood described above, and will not be repeated here.

[0144] In one embodiment, such as Figure 9 As shown, a control device for an intelligent range hood is provided, comprising:

[0145] The gradient calculation module is used to obtain the temperature gradient of the temperature field between the smart range hood and the stove based on the output signal of the thermopile array; wherein, the thermopile array is set on the bottom surface of the smart range hood;

[0146] The vortex calculation module is used to calculate the vortex value in the temperature field based on the temperature gradient.

[0147] The judgment module is used to compare the vorticity value with a preset vorticity value range, and determine whether the gesture feature has been recognized based on the comparison result.

[0148] The adjustment module is used to adjust the airflow of the smart range hood based on the gesture characteristics it recognizes.

[0149] In one embodiment, the gradient calculation module obtains the temperature gradient of the temperature field between the smart range hood and the stove based on the output signal of the thermopile array, including: constructing a temperature matrix in the temperature field based on the output signal; calculating the temperature gradient based on the first trend of each grid point in the temperature matrix in the first horizontal direction and the second trend of each grid point in the second horizontal direction; wherein the first horizontal direction and the second horizontal direction are orthogonal.

[0150] Optionally, constructing a temperature matrix within the temperature field based on the output signal includes: converting the output signal of each thermopile sensor in the thermopile array into a temperature value; and constructing a temperature matrix based on the temperature value and the spatial position of the corresponding thermopile sensor.

[0151] In one embodiment, the vorticity value in the temperature field is calculated based on the temperature gradient, including: converting the temperature gradient into an airflow velocity vector based on thermal conduction characteristics; calculating a first rate of change of the airflow velocity vector in the second horizontal direction in the first horizontal direction, and a second rate of change of the airflow velocity vector in the first horizontal direction in the second horizontal direction; and identifying the vorticity value based on the difference between the first rate of change and the second rate of change.

[0152] In one embodiment, before comparing the vorticity value with a preset vorticity value range, the determination module is further configured to calculate the rate of change based on the change of the vorticity value over time; if the rate of change is greater than a rate of change threshold, calculate the steam rising speed between the smart range hood and the stove based on the temperature gradient; if the steam rising speed is less than or equal to a first speed threshold, compare the vorticity value with a preset vorticity value range; if the steam rising speed is greater than the first speed threshold, the adjustment module increases the operating power of the smart range hood to a preset power.

[0153] In one embodiment, after adjusting the operating state of the smart range hood based on the recognized gesture features, the adjustment module is further configured to calculate the steam rising speed between the smart range hood and the stove based on the temperature gradient; determine the speed threshold range corresponding to the steam rising speed; and adjust the air volume level of the smart range hood to the level corresponding to the speed threshold range; wherein, the greater the steam rising speed, the greater the air volume of the smart range hood.

[0154] In one embodiment, the control device of the smart range hood further includes an alarm module. After adjusting the operating state of the smart range hood according to the recognized gesture features, the alarm module is used to construct a temperature matrix in the temperature field based on the output signal; calculate the steam rising speed between the smart range hood and the stove based on the temperature gradient; and trigger the alarm mode of the smart range hood when the steam rising speed is less than or equal to a second speed threshold and the maximum temperature value in the temperature matrix is ​​greater than a preset temperature threshold.

[0155] In one embodiment, the adjustment module is used to construct a temperature matrix within the temperature field based on the output signal when the gesture features are recognized; obtain the gesture center height based on the temperature matrix; and adjust the operating height of the smart range hood based on the gesture center height.

[0156] The various modules in the control device of the aforementioned intelligent range hood can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0157] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 10 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a control method for an intelligent range hood.

[0158] Those skilled in the art will understand that Figure 10 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0159] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0160] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0161] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0162] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0163] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0164] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. 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 protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A control method for an intelligent range hood, characterized in that, The method of setting a thermopile array on the bottom surface of the intelligent range hood includes: The temperature gradient of the temperature field between the smart range hood and the stove is obtained based on the output signal of the thermopile array. The vorticity value within the temperature field is calculated based on the temperature gradient. Compare the vorticity value with a preset vorticity value range, and determine whether the gesture feature has been recognized based on the comparison result; If so, the operating status of the smart range hood is adjusted according to the recognized gesture features.

2. The control method for an intelligent range hood according to claim 1, characterized in that, Based on the output signal of the thermopile array, the temperature gradient of the temperature field between the intelligent range hood and the stove is obtained, including: Construct a temperature matrix within the temperature field based on the output signal; The temperature gradient is calculated based on the first trend of change of each grid point in the temperature matrix in the first horizontal direction and the second trend of change of each grid point in the second horizontal direction; wherein the first horizontal direction and the second horizontal direction are orthogonal.

3. The control method for an intelligent range hood according to claim 2, characterized in that, Constructing a temperature matrix within the temperature field based on the output signal includes: The output signals of each thermopile sensor in the thermopile array are converted into temperature values; The temperature matrix is ​​constructed based on the temperature value and the spatial location of the corresponding thermopile sensor.

4. The control method for an intelligent range hood according to claim 1, characterized in that, Based on the temperature gradient, the vorticity value within the temperature field is calculated, including: Based on thermal conductivity characteristics, the temperature gradient is converted into an airflow velocity vector; Calculate the first rate of change of the airflow velocity vector in the second horizontal direction in the first horizontal direction, and the second rate of change of the airflow velocity vector in the first horizontal direction in the second horizontal direction; The vorticity value is identified based on the difference between the first rate of change and the second rate of change.

5. The control method for an intelligent range hood according to claim 1, characterized in that, Before comparing the vorticity value with a preset vorticity value range, the method further includes: Calculate the rate of change of the vorticity value over time; When the rate of change is greater than the rate of change threshold, the steam rise rate between the smart range hood and the stove is calculated based on the temperature gradient. If the steam rising speed is less than or equal to a first speed threshold, the vorticity value is compared with a preset vorticity value range. If the steam rising speed is greater than a first speed threshold and the acceleration of the steam rising speed is greater than an acceleration threshold, the operating power of the smart range hood is increased to a preset power. If the steam rising speed is greater than a first speed threshold and the acceleration of the steam rising speed is less than or equal to an acceleration threshold, the airflow level of the smart range hood is increased.

6. The control method for an intelligent range hood according to claim 1 or 5, characterized in that, After adjusting the operating state of the smart range hood based on the recognized gesture features, the method further includes: Based on the temperature gradient, the steam rise rate between the smart range hood and the stove is calculated; Determine the velocity threshold range corresponding to the steam rise velocity; Adjust the airflow level of the smart range hood to the level corresponding to the speed threshold range; wherein, the greater the steam rising speed, the greater the airflow of the smart range hood.

7. The control method for an intelligent range hood according to claim 1, characterized in that, After adjusting the operating state of the smart range hood based on the recognized gesture features, the method further includes: Construct a temperature matrix within the temperature field based on the output signal; Based on the temperature gradient, the steam rise rate between the smart range hood and the stove is calculated; The alarm mode of the smart range hood is triggered when the steam rising speed is less than or equal to the second speed threshold and the maximum temperature value in the temperature matrix is ​​greater than the preset temperature threshold.

8. The method according to claim 1, characterized in that, The method further includes: Construct a temperature matrix within the temperature field based on the output signal; Once the gesture features are identified, the gesture center height is obtained based on the temperature matrix; The operating height of the smart range hood is adjusted based on the height of the gesture center.

9. A control device for an intelligent range hood, characterized in that, The device includes: The gradient calculation module is used to obtain the temperature gradient of the temperature field between the smart range hood and the stove based on the output signal of the thermopile array; wherein, the thermopile array is disposed on the bottom surface of the smart range hood; The vortex calculation module is used to calculate the vortex value in the temperature field based on the temperature gradient. The judgment module is used to compare the vorticity value with a preset vorticity value range, and determine whether the gesture feature has been recognized based on the comparison result; An adjustment module is used to adjust the airflow of the smart range hood according to the gesture features when the gesture features are recognized.

10. A smart range hood, characterized in that, A thermopile array is disposed on the bottom surface of the intelligent range hood, and the intelligent range hood adopts the control method of the intelligent range hood as described in any one of claims 1 to 8.