Smoke detection method, smoke detection device, storage medium and range hood

Abstract

The invention discloses a smoke detection method, a smoke detection device, a computer readable storage medium and an extractor hood. The smoke detection method is used for the extractor hood. The smoke detection method comprises the following steps: emitting detection light to a cooking table top where the extractor hood is located and acquiring an image of the cooking table top; and processing the image of the cooking table top to obtain the current smoke level of the cooking table top. According to the smoke detection method, the detection light is used for irradiating the cooking table top to shoot the image to detect the smoke, the smoke can be detected at the first time when the smoke occurs, smoke detection delay can be avoided, the accuracy and instantaneity of smoke detection can be improved, and therefore oil smoke can be prevented from escaping.

Description

Technical Field

[0001] This invention relates to the field of household appliance technology, and in particular to a smoke detection method, a smoke detection device, a computer-readable storage medium, and a range hood. Background Technology

[0002] In related technologies, smoke detection in range hoods primarily relies on infrared scattering. This method works by detecting the scattering of infrared light by smoke drawn into the detection chamber, which then measures the intensity of the infrared light to determine the smoke concentration. However, this method requires smoke to be drawn into the detection chamber before detection can occur. The detection chamber is typically located at the range hood's fan outlet to allow as much smoke as possible to pass through. This inherent lag in detection leads to ineffective identification of smoke concentration, resulting in problems such as smoke escape. Summary of the Invention

[0003] The present invention provides a smoke detection method, a smoke detection device, a computer-readable storage medium, and a range hood to solve at least one of the aforementioned technical problems.

[0004] An embodiment of the present invention provides a smoke detection method for use in a range hood, the smoke detection method comprising:

[0005] A detection light beam is emitted toward the cooking countertop where the range hood is located, and an image of the cooking countertop is acquired.

[0006] The image of the cooking countertop is processed to obtain the current smoke level of the cooking countertop.

[0007] The smoke detection method described above uses a detection light to illuminate the cooking countertop and capture images to detect smoke. Smoke can be detected as soon as it occurs, avoiding detection delays and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0008] In some implementations, processing the image of the cooking countertop to obtain the current smoke level of the cooking countertop includes:

[0009] The image of the cooking countertop is processed to obtain smoke information;

[0010] Based on the smoke information, determine the current smoke level of the cooking countertop.

[0011] In some embodiments, processing the image of the cooking countertop to obtain smoke information includes:

[0012] The image of the cooking countertop is binarized to obtain a smoke image, which includes a smoke area.

[0013] The smoke area is processed to obtain the smoke information.

[0014] In some embodiments, the smoke information includes smoke concentration information, and processing the smoke area to obtain the smoke information includes:

[0015] The stripes in the smoke area are completed to obtain the striped area in the smoke area;

[0016] The smoke concentration information is obtained based on the width of the striped area.

[0017] In some implementations, the smoke information includes smoke area information, and the processing of the smoke area to obtain the smoke information includes:

[0018] The stripes in the smoke area are completed to form a closed contour that surrounds all the stripes;

[0019] The smoke area information is obtained based on the closed contour.

[0020] In some embodiments, the smoke detection method includes:

[0021] The fan speed of the range hood is controlled according to the current smoke level on the cooking countertop.

[0022] In some embodiments, the smoke detection method includes the following steps prior to binarizing the image of the cooking countertop to obtain a smoke image:

[0023] The image of the cooking countertop is processed to remove noise interference.

[0024] A smoke detection device according to an embodiment of the present invention includes a processor and a memory. The memory stores a computer program, which, when executed by the processor, implements the steps of the smoke detection method described in any of the above embodiments.

[0025] The aforementioned smoke detection device uses detection light to illuminate the cooking countertop and capture images to detect smoke. It can detect smoke as soon as it occurs, avoiding detection delays and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0026] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the smoke detection method described in any of the above embodiments.

[0027] In the aforementioned computer-readable storage medium, smoke is detected by illuminating the cooking countertop with a detection light to capture images. Smoke can be detected as soon as it occurs, avoiding detection delays and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0028] An embodiment of the present invention provides a range hood that includes the smoke detection device described in the above embodiment.

[0029] The aforementioned range hood uses a detection light to illuminate the cooking countertop and capture images to detect smoke. This allows for the detection of smoke as soon as it occurs, avoiding detection delays and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0030] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0031] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0032] Figure 1 This is a flowchart of the smoke detection method according to an embodiment of the present invention;

[0033] Figure 2 This is a schematic diagram of the structure of the range hood according to an embodiment of the present invention;

[0034] Figures 3 to 5 This is a flowchart of the smoke detection method according to an embodiment of the present invention;

[0035] Figure 6 This is a schematic diagram illustrating the effect of smoke detection according to an embodiment of the present invention;

[0036] Figures 7 to 9 This is a flowchart of the smoke detection method according to an embodiment of the present invention;

[0037] Figure 10 This is a schematic diagram of the modules of the range hood according to an embodiment of the present invention.

[0038] Figure label:

[0039] Range hood 10, laser emitter 12, stripe area 13, camera 14, cooking countertop 15, smoke detection device 16, processor 18, memory 20. Detailed Implementation

[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0041] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0042] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection. They can refer to a mechanical connection or an electrical connection. They can refer to a direct connection or an indirect connection through an intermediate medium, and they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances.

[0043] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0044] This disclosure provides many different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described herein. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. In addition, examples of various specific processes and materials are provided in this invention, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0045] In related technologies, there are two main methods for smoke detection in range hoods. One method is infrared scattering detection, which detects the scattering of infrared light by smoke drawn into the detection chamber, thus determining the smoke concentration by measuring the intensity of the infrared light. This method requires smoke to be drawn into the detection chamber before detection can occur. The detection chamber is generally located at the air outlet of the range hood fan to allow as much smoke as possible to pass through. This detection method leads to detection lag and cannot effectively identify the smoke concentration, resulting in problems such as smoke escape.

[0046] Another detection method is to detect the smoke concentration by measuring the temperature of the cooking pot, but this method is also prone to inaccuracies.

[0047] Please see Figure 1 and Figure 2 An embodiment of the present invention provides a smoke detection method for a range hood 10. The smoke detection method includes:

[0048] Step S101: Emit detection light to the cooking countertop 15 where the range hood 10 is located and acquire an image of the cooking countertop 15;

[0049] Step S103: Process the image of the cooking countertop 15 to obtain the current smoke level of the cooking countertop 15.

[0050] The above-mentioned smoke detection method uses a detection light to illuminate the cooking countertop 15 and capture images to detect smoke. Smoke can be detected as soon as it occurs, avoiding detection delays and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0051] Specifically, the range hood 10 can be a wall-mounted range hood 10, meaning it can be installed on the wall of the kitchen, or it can be positioned above the cooking countertop 15. The cooking countertop 15 is where cooking is performed. Typically, when users cook on the cooking countertop 15, fumes are generated there. The range hood 10, positioned above or on the side wall of the cooking countertop 15, is used to exhaust the fumes generated during cooking to the outside.

[0052] By capturing images of the cooking countertop 15 and processing them, the current smoke level on the cooking countertop 15 is obtained, making the judgment of smoke concentration more accurate. The range hood's fan speed is adjusted according to the smoke level, ensuring the fan speed accurately adapts to the smoke concentration on the stovetop. Since the smoke concentration on the cooking countertop 15 is directly detected, detection delays are avoided, improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0053] In actual cooking, cooking fumes are not difficult to see. In many cases, when the fumes are very faint, they are clearly perceptible, but in a single frame image captured by a camera, the smoke is invisible. According to the Tyndall effect, if a beam of light is shone into the smoke, a distinct beam of light can be seen. Therefore, as... Figure 2 As shown, a laser emitter 12 and a camera 14 are installed on the top of the range hood 10. When detecting cooking fumes, the laser emitter 12 generates a set of structured light beams that cover the cooktop surface. During cooking, the laser passes through the cooking fumes, and according to the Tyndall effect, a noticeably thicker and brighter beam of light appears. The area covered by the detected beam of light represents the area covered by cooking fumes, while the thickness of the beam represents the concentration of fumes in that area.

[0054] By acquiring the image captured by camera 14, processing and calculating the light pillar area in the image, the smoke concentration at this time can be obtained based on the size of the light pillar area.

[0055] The light emitted by laser emitter 12 can be either visible or invisible. A visible light beam can be seen when detecting cooking fumes using visible light.

[0056] In some embodiments, the laser emitter 12 can emit light with strong, concentrated energy that is outside the visible light range. This makes the light beam more prominent in the captured image. Furthermore, selecting invisible light eliminates interference from visible light in the captured image. Additionally, using invisible light avoids affecting the user during smoke detection.

[0057] In one embodiment, the laser emitter 12 emits infrared light while simultaneously capturing images using an infrared camera 14. Using infrared light detection reduces ambient light interference, thus minimizing background image interference. The smoke appears as a distinct white column of light, contrasting sharply with the darker background, enhancing the contrast of the smoke and fumes. This facilitates subsequent image processing, allowing the current smoke concentration level to be assessed by calculating the area of ​​the white column of light.

[0058] Please see Figure 3 In some implementations, step S103 includes:

[0059] Step S1031: Process the image of the cooking countertop 15 to obtain smoke information;

[0060] Step S1033: Determine the current smoke level of the cooking countertop 15 based on the smoke information.

[0061] In this way, effective smoke information can be extracted from the image of the cooking countertop 15, and the current smoke level of the cooking countertop 15 can be determined based on the smoke information.

[0062] Specifically, the detection light emitted by the laser emitter 12 will leave a light column area of ​​different range on the image of the cooking countertop 15 under different smoke concentrations. By evaluating and calculating the size of this area, the current smoke level of the cooking countertop 15 can be obtained.

[0063] Please see Figure 4 In some embodiments, step S1031 includes:

[0064] Step S301: Binarize the image of the cooking countertop 15 to obtain a smoke image, which includes the smoke area;

[0065] Step S303: Process the smoke area to obtain smoke information.

[0066] Thus, binarizing the image of the cooking countertop 15 makes the smoke area of ​​the image of the cooking countertop 15 clearer and more distinguishable, thereby enabling more accurate identification of smoke information.

[0067] Specifically, an image includes the target object, the background, and noise. A common method for directly extracting the target object from a multi-valued digital image is image binarization. Binarization involves setting a preset value to divide the image data into two parts: a group of pixels with values ​​greater than the preset value and a group of pixels with values ​​less than the preset value. In other words, it compares the grayscale values ​​of all pixels in the image with the preset value. For example, the grayscale values ​​of pixels less than the preset value can be set to 0, and the grayscale values ​​of pixels greater than the preset value can be set to 255, thus making the entire image appear as a clear black and white image.

[0068] Since the detection light can appear as a distinct white column in the image of the cooking countertop 15 when there is smoke, the image after binarization can clearly distinguish the smoke area of ​​the image of the cooking countertop 15, namely the white column and its outer contour. Therefore, the smoke level of the current cooking countertop 15 can be determined based on the area of ​​the smoke area and the thickness of the white column in the smoke area.

[0069] It should be noted that the black and white colors used in this description are only used to distinguish between light pillar regions and non-light pillar regions in an image; these colors are not properties of the light pillars themselves. In some implementations, binarization can be used to make light pillar regions black and non-light pillar regions white.

[0070] Please see Figure 5 and Figure 6 In some embodiments, the smoke information includes smoke concentration information, and step S303 includes:

[0071] Step S3031: Complete the stripes in the smoke area to obtain the striped area 13 in the smoke area;

[0072] Step S3033: Obtain smoke concentration information based on the width of stripe region 13.

[0073] Thus, the current smoke concentration level can be assessed by the width of the stripe area 13.

[0074] Specifically, due to the Tyndall effect, the detection light beam in the smoke produces a beam, and the denser the smoke, the thicker the beam. In the image captured by the camera 14, the beam appears as stripes. Since the thickness of the beam is related to the smoke concentration, the stripes in the image of the cooking countertop 15 may be discontinuous when the smoke is light. Therefore, the image of the cooking countertop 15 can be processed according to the smallest cell and the line segment completion rule, that is, based on the position of the detection light beam emitted by the laser emitter 12, to determine multiple discontinuous stripes formed by a single detection light beam, and connect these stripes to form a complete stripe region 13. This allows the current smoke concentration level to be assessed based on the area or width of the stripe region 13. Figure 6 The white stripes in the image represent the detection light shining into the smoke, and the square outline surrounding the white stripes is the stripe area 13.

[0075] Please see Figure 6 and Figure 7 In some implementations, the smoke information includes smoke area information, and step S303 includes:

[0076] Step S3035: Complete the stripes in the smoke area to form a closed outline that surrounds all stripes;

[0077] Step S3037: Obtain smoke area information based on the closed contour.

[0078] Thus, striped region 13 represents the appearance of light pillars in the smoke, that is, the size of the smoke is determined by the closed outline formed by all the stripes in the smoke image.

[0079] Specifically, after acquiring the infrared image, binarization preprocessing yields effective smoke column information, i.e., the white stripes in the image. The stripes are then extended and completed, following the rules of the smallest cell and connecting two points with line segments to form a closed contour enclosing all stripes. The size of the smoke area can be calculated by measuring the area of ​​the closed contour. Simultaneously, the thickness of the white stripes indicates the local smoke density; the size of the thicker stripe contour is calculated, and the actual oil fume classification is determined based on the area size and contour thickness.

[0080] Please see Figure 8 In some embodiments, the smoke detection method includes:

[0081] Step S105: Control the fan speed of the range hood 10 according to the current smoke level of the cooking countertop 15.

[0082] In this way, by detecting the current smoke level on the cooking countertop 15 in real time, the fan speed of the range hood 10 can be controlled. Thus, the fan speed of the range hood 10 can be adjusted according to the smoke level, so that the range hood 10 has a better smoke extraction effect and reduces the escape of oil fumes.

[0083] Specifically, the range hood 10 adjusts its fan speed according to the current smoke level on the cooking countertop 15. When smoke is detected, the range hood 10 can automatically turn on and adjust its fan speed according to the detected smoke level. This avoids situations where the range hood 10's speed remains unchanged despite changes in smoke volume, resulting in poor smoke extraction or requiring the user to manually adjust the range hood 10's speed, which would be inconvenient.

[0084] Therefore, through actual machine operation testing, the correspondence between the current smoke level of the cooking countertop 15 and the speed of the range hood 10 can be obtained and preset. After obtaining the current smoke level of the cooking countertop 15, the fan speed of the range hood 10 can be controlled according to the current smoke level of the cooking countertop 15.

[0085] There is a certain correlation between the current smoke level of the cooking countertop 15 and the width of the striped area 13 within the smoke area. For example, the current smoke level of the cooking countertop 15 is positively correlated with the width of the striped area 13. The wider the striped area 13, the higher the current smoke level of the cooking countertop 15, and the higher the fan speed of the range hood 10. This results in a greater amount of smoke from the cooking countertop 15, a stronger fan speed from the range hood 10, and better smoke extraction. Conversely, less smoke from the cooking countertop 15 results in a weaker fan speed from the range hood 10, preventing it from operating at a high speed when strong smoke extraction is not required. This avoids noise from continuous operation of the range hood 10 and saves energy by reducing the electricity required for operation.

[0086] Please see Figure 9 In some embodiments, prior to step S301, the smoke detection method includes:

[0087] Step S300: Remove noise interference from the image of the cooking countertop 15.

[0088] In this way, distracting elements in the image of the cooking countertop 15 can be removed.

[0089] Specifically, since smoke detection is continuous throughout the cooking process, during which a person's arm or other cooking tools may be captured in the image of the cooking countertop 15, noise interference in the image needs to be processed before processing the image of the cooking countertop 15. Because the optical path of the detection light emitted by the laser emitter 12 is predictable, its approximate range and shape in the image of the cooking countertop 15 are known. Therefore, noise interference can be removed from the image of the cooking countertop 15, thus eliminating interfering factors and ensuring detection accuracy.

[0090] In one embodiment, laser emitter 12 emits infrared light and infrared camera 14 captures an image of cooking countertop 15. A human arm appears as a spot of light in the image, and the influence of errors caused by the human arm can be eliminated based on the approximate range of the detected light in the image of cooking countertop 15 and the approximate shape of the image.

[0091] In summary, by capturing images of the cooking countertop 15 and processing them to obtain the current smoke level on the countertop 15, the range hood's fan speed is adjusted according to the smoke level, ensuring that the fan speed accurately adapts to the smoke concentration on the stovetop. Since the smoke concentration on the cooking countertop 15 is directly detected, smoke detection delays are avoided, improving the accuracy and timeliness of smoke detection, thereby preventing the escape of cooking fumes.

[0092] Please see Figure 10 A smoke detection device 16 according to an embodiment of the present invention includes a processor 18 and a memory 20. The memory 20 stores a computer program, which, when executed by the processor 18, implements the steps of the smoke detection method of any of the above embodiments.

[0093] The smoke detection device 16 described above uses a detection light to illuminate the cooking countertop 15 and capture images to detect smoke. It can detect smoke as soon as it occurs, avoiding delays in smoke detection and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0094] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor 18, implements the steps of the smoke detection method of any of the above embodiments.

[0095] In the aforementioned computer-readable storage medium, images are captured by illuminating the cooking countertop 15 with detection light to detect smoke. Smoke can be detected as soon as it occurs, avoiding delays in smoke detection and improving the accuracy and immediacy of smoke detection, thereby preventing the escape of cooking fumes.

[0096] In one implementation, the steps of the smoke detection method implemented by the computer program when executed by the processor 18 include:

[0097] Step S101: Emit detection light to the cooking countertop 15 where the range hood 10 is located and acquire an image of the cooking countertop 15;

[0098] Step S103: Process the image of the cooking countertop 15 to obtain the current smoke level of the cooking countertop 15.

[0099] An embodiment of the present invention provides a range hood 10 that includes the smoke detection device 16 described in the above embodiment.

[0100] The aforementioned range hood 10 uses a detection light to illuminate the cooking countertop 15 and capture images to detect smoke. Smoke can be detected as soon as it occurs, avoiding delays in smoke detection and improving the accuracy and immediacy of smoke detection, thereby preventing smoke from escaping.

[0101] Specifically, such as Figure 2 As shown, the range hood 10 also includes a laser emitter 12 and a camera 14, which are electrically connected to each other. When the range hood 10 is not running, the camera 14 can remain on to capture images of the cooking countertop 15 at a certain frequency and transmit them to the smoke detection device 16. By comparing the changes in the images, the device determines whether cooking is currently taking place on the cooking countertop 15. If cooking is determined to be taking place, the device controls the laser emitter 12 to emit detection light to begin smoke detection.

[0102] It should be noted that the above explanation of the implementation method and beneficial effects of the smoke detection method also applies to the smoke detection device 16, computer-readable storage medium and range hood 10 of the embodiments of this application. To avoid redundancy, they will not be elaborated in detail here.

[0103] It is understood that a computer program includes computer program code. Computer program code can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable storage media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, external hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), and software distribution media, etc. The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0104] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0105] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A smoke detection method for use in a range hood, characterized in that, The smoke detection method includes: A detection light beam is emitted toward the cooking countertop where the range hood is located, and an image of the cooking countertop is acquired. The image of the cooking countertop is processed to obtain the current smoke level of the cooking countertop.

2. The smoke detection method according to claim 1, characterized in that, The process of processing the image of the cooking countertop to obtain the current smoke level of the cooking countertop includes: The image of the cooking countertop is processed to obtain smoke information; Based on the smoke information, determine the current smoke level of the cooking countertop.

3. The smoke detection method according to claim 2, characterized in that, The process of processing the image of the cooking countertop to obtain smoke information includes: The image of the cooking countertop is binarized to obtain a smoke image, which includes a smoke area. The smoke area is processed to obtain the smoke information.

4. The smoke detection method according to claim 3, characterized in that, The smoke information includes smoke concentration information, and the process of processing the smoke area to obtain the smoke information includes: The stripes in the smoke area are completed to obtain the striped area in the smoke area; The smoke concentration information is obtained based on the width of the striped area.

5. The smoke detection method according to claim 3, characterized in that, The smoke information includes smoke area information, and the process of processing the smoke area to obtain the smoke information includes: The stripes in the smoke area are completed to form a closed contour that surrounds all the stripes; The smoke area information is obtained based on the closed contour.

6. The smoke detection method according to claim 1, characterized in that, The smoke detection method includes: The fan speed of the range hood is controlled according to the current smoke level on the cooking countertop.

7. The smoke detection method according to claim 3, characterized in that, Before the step of binarizing the image of the cooking countertop to obtain a smoke image, the smoke detection method includes: The image of the cooking countertop is processed to remove noise interference.

8. A smoke detection device, characterized in that, include: processor; and, A memory storing a computer program that, when executed by the processor, implements the steps of the smoke detection method according to any one of claims 1-7.

9. 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 smoke detection method according to any one of claims 1-7.

10. A range hood, characterized in that, Includes the smoke detection device as described in claim 8.

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