A method and system for discharging smoke based on an intelligent stove of internet of things technology

Abstract

The present application relates to the technical field of household appliances, in particular to a smoke exhaust method of an intelligent cooking appliance based on Internet of Things technology, comprising the following steps: S1, simultaneously collecting images of smoke in the cooking appliance at the same position by using multiple image collection units; S2, transmitting the multiple different images to an image analysis unit, the image analysis unit being configured to analyze the definition of each image and the smoke concentration in each image; and S3, a control unit regulating the smoke exhaust amount of a smoke exhaust device according to the definition of each image and the smoke concentration in each image. The technical scheme provided by the present application can make the smoke exhaust device accurately and rapidly exhaust the actual smoke generated by the cooking appliance in real time.

Description

Technical Field

[0001] This invention relates to the field of household appliance technology, and specifically to a method and system for exhausting smoke from a smart stove based on Internet of Things (IoT) technology. Background Technology

[0002] A stove uses electricity or gas to cook food. When a stove is in use, it produces smoke, which is then discharged outdoors through a smoke extraction system.

[0003] Currently, the main method used in the industry to detect the concentration of cooking fumes in exhaust equipment is to use image acquisition equipment to detect the smoke generated by the stove in real time, transmit the acquired images to the image analysis unit, and when the image analysis unit detects smoke in the image, it controls the exhaust equipment to start to remove the smoke.

[0004] The disadvantage of image acquisition is that after prolonged use, smoke or dust can adhere to the surface of the image acquisition device, affecting the clarity of the image and making it impossible to accurately control the smoke extraction volume of the exhaust system. For example, because the acquired image is blurry, it is impossible to accurately analyze the smoke concentration in the image. This may result in the smoke concentration analyzed from the image being lower than the actual smoke concentration produced by the stove, causing the exhaust system to start at a lower fan speed, thus failing to completely remove the generated smoke. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art, the purpose of this invention is to provide a smoke extraction method for a smart stove based on Internet of Things technology, which can enable the smoke extraction device to accurately and quickly exhaust the smoke actually generated by the stove in real time.

[0006] Another object of the present invention is to provide a smoke exhaust system for an intelligent stove.

[0007] An embodiment of the present invention provides a method for smoke extraction of a smart stove based on Internet of Things (IoT) technology, comprising the following steps:

[0008] S1. Simultaneously acquire images of smoke at the same location using multiple image acquisition units;

[0009] S2. The multiple different images are transmitted to an image analysis unit, which is used to analyze the clarity of each image and the smoke concentration in each image;

[0010] S3. The control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the clarity of each image and the smoke concentration in each image, including the following steps:

[0011] The sharpness of each image output by the image analysis unit is compared with the preset sharpness corresponding to the image acquisition unit that acquired the image:

[0012] If the comparison difference is within the range of the first preset threshold, the smoke concentration in each of the images is superimposed to obtain the average value of the superimposed smoke concentration. The control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the average value of the superimposed smoke concentration.

[0013] If at least one of the comparison differences exceeds the range of the first preset threshold, the control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the smoke concentration in the image with the highest image clarity.

[0014] In some embodiments, if the comparison differences are all within the range of a first preset threshold, the clarity of each image output by the image analysis unit is compared with each other. If the comparison difference of at least one group exceeds the range of a second preset threshold, the control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the smoke concentration in the image with the highest image clarity.

[0015] In some embodiments, the image acquisition ports of the plurality of image acquisition units are all aligned with the smoke outlet of the stove.

[0016] In some embodiments, the smoke concentration is classified according to the air volume level of the exhaust device in the stove, and the control unit controls the smoke exhaust volume of the exhaust device according to the smoke concentration level in the stove corresponding to the smoke concentration in the image.

[0017] In some embodiments, if the difference between the clarity of each image output by the image analysis unit and the preset clarity corresponding to the image acquisition unit that acquired each image exceeds the range of a first preset threshold, then the image acquisition unit is cleaned up.

[0018] To achieve another objective of the present invention, one embodiment of the present invention provides a smoke extraction system for an intelligent stove, used to implement the above-mentioned smoke extraction method, comprising:

[0019] Multiple image acquisition units are used to acquire images of smoke at the same location;

[0020] An image analysis unit is used to analyze the sharpness of each image and the smoke concentration in each image;

[0021] The control unit receives the clarity of each image and the smoke concentration in each image transmitted by the image analysis unit, and adjusts the smoke exhaust volume of the smoke exhaust device according to the clarity of each image and the smoke concentration in each image.

[0022] In some embodiments, it may further include:

[0023] The data processing unit is used to receive and process the clarity of each image, the smoke concentration in each image, the preset clarity corresponding to the image acquisition unit that acquired each image, the first preset threshold and the second preset threshold transmitted by the image analysis unit. The control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the signal transmitted by the data processing unit.

[0024] The beneficial effects of this invention are:

[0025] The clarity of the image and the smoke concentration in the image obtained by the technical solution of this invention are used to adjust the smoke exhaust volume of the smoke exhaust device. This allows the control unit to accurately control the smoke exhaust device according to the actual amount of smoke generated by the stove, and to open the appropriate air volume level. This reduces the influence of internal factors such as oil fumes and dust attached to the surface of the image acquisition unit, and enables the smoke exhaust device to exhaust all the smoke actually generated by the stove quickly. Attached Figure Description

[0026] Figure 1 The following is a flowchart of an embodiment of the smoke extraction method for a stove in this invention. Figure 1 ;

[0027] Figure 2 The following is a flowchart of an embodiment of the smoke extraction method for a stove in this invention. Figure 2 ;

[0028] Figure 3 The following is a flowchart of an embodiment of the smoke extraction method for a stove in this invention. Figure 3 ;

[0029] Figure 4 The following is a flowchart of an embodiment of the smoke extraction method for a stove in this invention. Figure 4 ;

[0030] Figure 5 This is a schematic diagram of the smoke extraction system of the intelligent stove of the present invention.

[0031] Label Explanation:

[0032] 1. Image acquisition unit; 2. Image analysis unit; 3. Data processing unit; 4. Control unit. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. Furthermore, the technical features involved in the different embodiments of the invention described below may be combined with each other as long as they do not conflict with each other.

[0035] The inventive concept of this technical solution is to ensure that multiple image acquisition units simultaneously acquire images of the same location in the stove in essentially the same environment, and to adjust the smoke exhaust volume of the smoke exhaust device based on the clarity of the acquired images and the smoke concentration in the images.

[0036] Reference Figure 1 An embodiment of the present invention provides a method for exhausting smoke from a smart stove based on Internet of Things (IoT) technology, comprising at least the following steps:

[0037] S1. Multiple image acquisition units 1 are used to simultaneously acquire images of smoke at the same location in the smart stove, thereby obtaining multiple images;

[0038] S2. The plurality of images are transmitted to the image analysis unit 2, which is used to analyze the clarity of each image and the smoke concentration in each image;

[0039] S3, Control Unit 4 adjusts the smoke exhaust volume of the smoke exhaust device according to the clarity of each image and the smoke concentration in each image.

[0040] The smoke extraction principle of this invention

[0041] Reference Figure 1 Multiple image acquisition units 1 are used to acquire images of smoke at the same location. The environmental factors affecting the images acquired by these multiple units are essentially the same, meaning the clarity and smoke concentration in the images are minimally affected by environmental factors. These environmental factors can include light intensity and wind at the smoke outlet. The environment can be considered an external factor affecting image clarity, while oil fumes and dust adhering to the surface of the image acquisition units 1 can be considered internal factors affecting image clarity, ensuring that the objective conditions are essentially the same during image acquisition.

[0042] Multiple image acquisition units 1 simultaneously acquire images of smoke from the same location on the stove, ensuring that the smoke concentrations obtained from multiple images are basically the same.

[0043] Therefore, the smoke extraction volume of the smoke extraction equipment is adjusted based on the image clarity and smoke concentration in the image obtained using this technical solution.

[0044] First, the control unit 4 can accurately control the smoke exhaust equipment according to the actual amount of smoke generated by the stove, and open the appropriate air volume level. This reduces the phenomenon that the smoke exhaust equipment cannot completely exhaust the smoke actually generated by the stove due to the influence of internal factors such as oil fumes and dust attached to the surface of the image acquisition unit 1, thereby enabling the smoke exhaust equipment to accurately and quickly exhaust the generated smoke.

[0045] Second, the control unit 4 opens the appropriate airflow level to expel the smoke in a timely manner, which can avoid excessive waste of electricity.

[0046] Reference Figure 1 and Figure 2 Preferably, in step S3, the method by which the control unit 4 adjusts the smoke exhaust volume of the smoke exhaust device based on the image clarity and the smoke concentration in the image may include the following steps:

[0047] The clarity of each image output by the image analysis unit 2 is compared with the preset clarity of the image acquisition unit 1 that acquired the image.

[0048] If the comparison difference is within the range of the first preset threshold, the smoke concentration in each of the images is superimposed to obtain the average value of the superimposed smoke concentration. The control unit 4 adjusts the smoke exhaust volume of the smoke exhaust device according to the average value of the superimposed smoke concentration.

[0049] If at least one of the comparison differences exceeds the range of the first preset threshold, the control unit 4 adjusts the smoke exhaust volume of the smoke exhaust device according to the smoke concentration in the image with the highest image clarity.

[0050] Although multiple image acquisition units 1 acquire images of smoke at the same location, the angles from which they acquire the smoke at the same location are different. Even if the environment of the images acquired by multiple image acquisition units 1 is the same, and the difference between the clarity of the multiple images output by the image analysis unit 2 and the preset clarity corresponding to the image acquisition unit 1 that acquired each image is within the range of the first preset threshold, this will also affect the airflow level of the smoke exhaust device controlled by the control unit 4.

[0051] By adopting the above technical solution, when the difference between the clarity of multiple images analyzed by the image analysis unit 2 and the preset clarity corresponding to the image acquisition unit 1 that acquired each image is within the range of the first preset threshold, and the smoke exhaust volume of the smoke exhaust device is controlled by using the average value of the superimposed smoke concentration, the adverse effects of the image acquisition unit 1 on the image due to different acquisition angles can be overcome, that is, the influence of the different acquisition angles of the image acquisition unit 1 on the control unit 4's control of the smoke exhaust device's opening air volume level can be reduced.

[0052] Reference Figure 1 and Figure 3 Preferably, the clarity of each image output by the image analysis unit 2 is compared with each other. If the difference between at least one set exceeds the range of the second preset threshold, the control unit 4 adjusts the smoke exhaust volume of the smoke exhaust device according to the smoke concentration in the image with the highest clarity.

[0053] The image analysis unit 2 compares the clarity of multiple images output by itself. If the difference in the comparison value of at least one group exceeds the range of the second preset threshold, it indicates that there is a large deviation in the clarity of each image acquisition unit 1. If the smoke exhaust volume of the smoke exhaust device is then adjusted based on the average smoke concentration, it will cause a large error in the airflow setting controlled by the control unit 4.

[0054] By adopting the above technical solution, the smoke concentration in the image with the highest image clarity is used to regulate the smoke exhaust volume of the smoke exhaust device, which can overcome the problem and improve the accuracy of the control unit 4 in controlling the smoke exhaust device.

[0055] Reference Figure 1 and Figure 4 Preferably, in step S3, the method by which the control unit 4 adjusts the smoke exhaust volume of the smoke exhaust device based on the image clarity and the smoke concentration in the image may include the following steps:

[0056] The image analysis unit 2 compares the clarity of multiple images output by the image analysis unit 2 with the preset clarity of the image acquisition unit 1 that acquired those images. If the difference between at least one set of comparisons exceeds the range of the first preset threshold, it indicates that the clarity of a certain image acquisition unit 1 deviates significantly from its preset clarity. If the smoke exhaust volume of the smoke exhaust device is then adjusted using the average smoke concentration or other values, it will cause a large error in the airflow setting controlled by the control unit 4.

[0057] By adopting the above technical solution, the smoke concentration in the image with the highest resolution is used to regulate the smoke exhaust volume of the smoke exhaust device, which can overcome this problem and improve the accuracy of the control unit 4 in controlling the smoke exhaust device.

[0058] Reference Figure 1 Preferably, the image acquisition points of the multiple image acquisition units 1 are all aligned with the smoke outlet of the stove.

[0059] Because the smoke diffuses after it comes out of the smoke outlet, the density of the smoke at other locations is chaotic compared to the smoke at the smoke outlet. If the image acquisition point of the image acquisition unit 1 is set at other locations, the smoke concentration in different images may vary greatly, resulting in inaccurate calculation of the amount of smoke produced by the stove per unit time, or even the inability to calculate the amount of smoke produced by the stove per unit time.

[0060] Compared with setting the image acquisition points of multiple image acquisition units 1 separately in other locations on the stove, this technical solution, which uses the smoke outlet of the stove as the image acquisition point of multiple image acquisition units 1, has the following advantages or beneficial effects:

[0061] 1. The smoke concentration in the images acquired by multiple image acquisition units 1 will be basically the same, which is beneficial to improving the accuracy of the control unit 4 in controlling the smoke exhaust equipment;

[0062] 2. Obtaining the smoke concentration emitted from the smoke outlet facilitates the calculation of the amount of smoke generated by the stove per unit time, thereby helping to adjust the smoke exhaust equipment to the appropriate airflow level.

[0063] Preferably, the smoke concentration is classified according to the air volume level of the smoke exhaust device in the stove, and the control unit 4 controls the smoke exhaust volume of the smoke exhaust device according to the smoke concentration level in the stove corresponding to the smoke concentration in the image.

[0064] The above technical solution makes it easier for the control unit 4 to adjust the smoke exhaust equipment to the appropriate air volume level.

[0065] Preferably, if the difference between the clarity of each image output by the image analysis unit 2 and the preset clarity corresponding to the image acquisition unit 1 that acquired each image exceeds the range of the first preset threshold, then the image acquisition unit 1 is cleaned up.

[0066] If the difference between the clarity of multiple images output by image analysis unit 2 and the preset clarity corresponding to image acquisition unit 1 that acquired each image exceeds the first preset threshold, it indicates that the images acquired by each image acquisition unit 1 are significantly different from the images acquired by the unused image acquisition unit 1. This will cause the control unit 4 to make a large error in adjusting the smoke exhaust volume of the smoke exhaust device based on the image clarity and the smoke concentration in the image.

[0067] By adopting the above technical solution, when the clarity of the image acquisition unit does not meet the requirements, the image acquisition unit can be cleaned in time, so that the control unit 4 can control the smoke exhaust equipment to open the appropriate air volume level.

[0068] Reference Figure 5 A smoke extraction system for an intelligent stove, the system may include at least: multiple image acquisition units 1, image analysis units 2 and control units 4.

[0069] Multiple image acquisition units 1 are used to simultaneously acquire images of smoke at the same location. An image analysis unit 2 is used to analyze the clarity and smoke concentration of each image. A control unit 4 receives the clarity and smoke concentration of each image transmitted by the image analysis units 2, and adjusts the smoke exhaust volume of the smoke extraction device based on the clarity and smoke concentration of each image.

[0070] Preferably, the smoke exhaust system of the smart stove further includes: a data processing unit 3, used to receive and process the clarity of each of the images transmitted by the image analysis unit, the smoke concentration in each of the images, the preset clarity corresponding to the image acquisition unit 1 that acquires each image, the first preset threshold and the second preset threshold, and the control unit 4 adjusts the smoke exhaust volume of the smoke exhaust device according to the signal transmitted by the data processing unit 3. Specific Implementation

[0072] This specific embodiment is explained by controlling the smoke output of a range hood in a kitchen.

[0073] Reference Figure 1 A method for exhausting smoke from a smart stove based on Internet of Things (IoT) technology includes the following steps:

[0074] S1. Multiple image acquisition units 1 are used to simultaneously acquire images of smoke at the same location in the smart stove, thereby obtaining multiple images.

[0075] Specifically, three image acquisition units 1 are used to simultaneously acquire images of smoke from the same location. The number of image acquisition units depends on the size of the stove or the kitchen and is not limited to three. The image acquisition points of all three image acquisition units 1 are aligned with the smoke outlet of the stove. For example, the wok can be considered as the smoke outlet, or the entire stove can be considered as the smoke outlet; the image acquisition range of the image acquisition units 1 should cover the entire stove.

[0076] The installation positions of the three image acquisition units 1 can be specially designed, such as placing them on the same side of the smoke outlet. Placing the three image acquisition units on the same side of the smoke outlet will result in more consistent smoke concentrations captured by the different units. This is because the image acquisition units further reduce interference from environmental factors during image acquisition. For example, wind can cause smoke concentrations at the same location to vary on different surfaces. Placing the three image acquisition units on the same side can further improve the accuracy of the control unit in controlling the smoke output of the range hood.

[0077] Preferably, all three image acquisition units 1 are mounted on the ceiling to capture images of the smoke from the smoke outlet from top to bottom. By mounting the three image acquisition units 1 on the ceiling, the coverage of the smoke acquisition by the image acquisition units 1 is wider, that is, the acquisition angle of the smoke is more comprehensive, enabling the image analysis unit 2 to more accurately analyze the smoke concentration in the image.

[0078] Preferably, the three image acquisition units 1 can be dynamically configured, such as by using a rotatable camera to change the image acquisition position of the three image acquisition units 1. For ease of distinction, the smoke acquisition position when the image acquisition unit 1 is not rotated is regarded as the first smoke acquisition point, and the smoke acquisition position after the image acquisition unit 1 is rotated is regarded as the second smoke acquisition point.

[0079] Image analysis unit 2 analyzes the smoke concentration in the image acquired from the second smoke acquisition point. The average smoke concentration acquired from the first and second smoke acquisition points is used as the activation condition for controlling the exhaust power of the range hood. Because image acquisition unit 1 uses the same set of equipment, the clarity of image acquisition unit 1 will not change due to changes in the smoke acquisition location. Using the average value of the smoke concentrations from different locations to control the range hood can further improve the accuracy of smoke extraction.

[0080] S2. The three acquired images are transmitted to the image analysis unit 2, which analyzes the clarity of the three images and the smoke concentration in the three images.

[0081] S3, Control Unit 4 controls the smoke exhaust volume of the range hood based on the clarity of the three images and the smoke concentration in the three images.

[0082] This specific embodiment discloses three methods by which the control unit 4 controls the smoke output of the range hood based on the image clarity and the smoke concentration in the image.

[0083] The first method

[0084] Reference Figure 1 , Figure 2 and Figure 5Image analysis unit 2 transmits the sharpness of the three images to data processing unit 3. Data processing unit 3 compares the sharpness of the three images output by image analysis unit 2 with the preset sharpness corresponding to each of the image acquisition units 1. Sharpness comparison means subtracting the sharpness of the images acquired by multiple image acquisition units 1 from the preset sharpness corresponding to each image acquisition unit 1. The preset sharpness corresponding to image acquisition unit 1 refers to the sharpness it possesses when the surface of image acquisition unit 1 is free of smoke or dust; it can also be understood as the sharpness it possesses when image acquisition unit 1 is not in use or the sharpness of the images acquired when the image acquisition unit is used for the first time.

[0085] A first preset threshold is set in the system. The first preset threshold refers to the allowable range of image sharpness degradation after the image acquisition unit 1 is used. For example, the range of the first preset threshold can be 0dpi~5dpi, 0dpi~8dpi, 0dpi~10dpi, 0dpi~20dpi, or one of other reasonable ranges. The range of the first preset threshold depends on the smoke extraction accuracy of the range hood. The higher the required smoke extraction accuracy of the range hood, the narrower the range of the first preset threshold; conversely, the lower the required smoke extraction accuracy, the wider the range of the first preset threshold.

[0086] If the difference between the sharpness of the three images obtained by the data processing unit 3 and the preset sharpness of their respective image acquisition units 1 is within the range of the first preset threshold, then the smoke concentrations in the three images are superimposed to obtain the average value of the superimposed smoke concentration. The control unit 4 controls the smoke exhaust volume of the range hood based on the average value of the superimposed smoke concentration. For example, if the range of the first preset threshold is 0 dpi to 8 dpi, and the difference between the sharpness of the three images obtained by the data processing unit 3 and the preset sharpness of their respective image acquisition units 1 all fall within the range of 0 dpi to 8 dpi, then the average value of the smoke concentration is used to control the smoke exhaust volume of the range hood.

[0087] By adopting the above technical solution, the impact of different acquisition angles of the image acquisition unit 1 on the control unit 4's control of the smoke exhaust equipment's airflow level is reduced.

[0088] The second method

[0089] Reference Figure 1 , Figure 3 and Figure 5If the differences between the sharpness of the three images compared by data processing unit 3 and the preset sharpness of their respective images acquired by image acquisition unit 1 are all within the range of the first preset threshold, then a second preset threshold is set in the system. The second preset threshold refers to the allowable range of sharpness difference between the images acquired by the two image acquisition units 1 after subtraction. For example, the range of the second preset threshold can be 0dpi to 2dpi, 0dpi to 3dpi, or one of other reasonable ranges. The range of the second preset threshold depends on the smoke extraction accuracy of the range hood. The higher the required smoke extraction accuracy of the range hood, the narrower the range of the second preset threshold; conversely, the lower the required smoke extraction accuracy, the wider the range of the second preset threshold.

[0090] Image analysis unit 2 transmits the sharpness of three images to data processing unit 3. Data processing unit 3 compares the sharpness of the three images output by image analysis unit. If the comparison difference of at least one set of data output by data processing unit exceeds the range of a second preset threshold, the control unit controls the smoke output of the range hood based on the smoke concentration in the image with the highest sharpness. For example, if the range of the second preset threshold is 0 dpi to 3 dpi, and the data processing unit finds that one set of comparison differences exceeds the range of the second preset threshold, or two sets of comparison differences exceed the range of the second preset threshold, or all three sets of comparison differences exceed the range of the second preset threshold, then the control unit controls the smoke output of the range hood based on the smoke concentration in the image with the highest sharpness.

[0091] The sharpness comparison of the three images refers to: labeling the three images obtained by the three image acquisition units 1 as the first image, the second image, and the third image in sequence; comparing the sharpness of the first image with the sharpness of the second image; comparing the sharpness of the first image with the sharpness of the third image; and comparing the sharpness of the second image with the sharpness of the third image.

[0092] By adopting the above technical solution, the influence of the control unit 4 on controlling the smoke exhaust equipment to open the appropriate air volume level can be overcome when there is a large deviation in the clarity of each image acquisition unit 1.

[0093] The third method

[0094] Reference Figure 1 , Figure 4 and Figure 5 The image analysis unit 2 transmits the sharpness of the three images to the data processing unit 3. The data processing unit 3 compares the sharpness of the three images output by the image analysis unit with the preset sharpness corresponding to each of the image acquisition units 1. The preset sharpness corresponding to the image acquisition unit 1 has been specifically explained above and will not be repeated here.

[0095] If at least one of the comparison differences in the data output by the data processing unit 3 exceeds the range of the first preset threshold (the first preset threshold has been specifically explained above and will not be repeated here), the control unit 4 will control the smoke exhaust volume of the range hood based on the smoke concentration in the image with the highest clarity.

[0096] The control unit 4 controls the range hood's smoke output based on image clarity and smoke concentration, but not only the three methods mentioned above. For example, when there are more than three image acquisition units, if the difference between the clarity of multiple images compared by the data processing unit 3 and the preset clarity comparison corresponding to each image acquisition unit is within a first preset threshold, and after comparing the clarity of multiple images, the multiple sets of data output by the data processing unit 3 are within a second preset threshold, then the smoke concentration in the image with the highest clarity and the smoke concentration in the image with the lowest clarity can be removed, and the average smoke concentration in the other images can be used to control the range hood's smoke output.

[0097] Using the above technical solution, the clarity of multiple images output by image analysis unit 2 is compared with the preset clarity corresponding to image acquisition unit 1 that acquired the image. If the difference between at least one set of comparisons exceeds the range of a first preset threshold, it indicates that the clarity of a certain image acquisition unit 1 deviates significantly from its preset clarity. If the smoke exhaust volume of the smoke exhaust device is then adjusted using the average smoke concentration or other values, it will cause a large error in the airflow setting controlled by control unit 4.

[0098] By adopting the above technical solution, the smoke concentration in the image with the highest resolution is used to regulate the smoke exhaust volume of the smoke exhaust device. This can overcome the influence of a large deviation between the resolution of the image acquisition unit 1 and its preset resolution on the control unit 4's control of the smoke exhaust device to open the appropriate air volume level, thereby improving the accuracy of the control unit 4 in controlling the smoke exhaust device.

[0099] In this example, the smoke concentration is graded based on the range hood's fan speed setting. The control unit adjusts the range hood's exhaust volume according to the smoke concentration level in the image. For example, if the range hood's fan speed settings are divided into three units: A, B, and C, and the smoke concentration in the image acquired by the image acquisition unit is 'a', then the control unit will turn on the range hood at setting A.

[0100] In this example, if the difference between the sharpness of the three images output by the data processing unit and the preset sharpness corresponding to their respective image acquisition units all exceeds the range of the first preset threshold, then the three image acquisition units are cleaned. An alarm device, such as a sound alarm, can be set up. When the difference between the sharpness of the three images and the preset sharpness corresponding to their respective image acquisition units all exceeds the range of the first preset threshold, the alarm device will sound an alarm and clean the image acquisition units.

[0101] By adopting the above technical solution, when the clarity of the image acquisition unit does not meet the requirements, the image acquisition unit can be cleaned in time, so that the control unit 4 can control the smoke exhaust equipment to open the appropriate air volume level.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for exhausting smoke from a smart stove based on Internet of Things (IoT) technology, characterized in that: Includes the following steps: S1. Simultaneously capture images of smoke at the same location in the smart stove using multiple image acquisition units; S2. Transmit multiple images to an image analysis unit, which analyzes the clarity of each image and the smoke concentration in each image. S3. The control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the clarity of each image and the smoke concentration in each image, including the following steps: The sharpness of each image output by the image analysis unit is compared with the preset sharpness corresponding to the image acquisition unit that acquired the image: If the comparison difference is within the range of the first preset threshold, the smoke concentration in each of the images is superimposed to obtain the average value of the superimposed smoke concentration. The control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the average value of the superimposed smoke concentration. If at least one of the comparison differences exceeds the range of the first preset threshold, the control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the smoke concentration in the image with the highest image clarity.

2. The smoke extraction method for a smart stove based on Internet of Things technology according to claim 1, characterized in that: If the comparison difference is within the range of the first preset threshold, the clarity of each image output by the image analysis unit is compared with each other. If the comparison difference of at least one group exceeds the range of the second preset threshold, the control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the smoke concentration in the image with the highest image clarity.

3. The smoke extraction method for a smart stove based on Internet of Things technology according to claim 1, characterized in that: The image acquisition ports of all the aforementioned image acquisition units are aligned with the smoke outlet of the stove.

4. The smoke extraction method for a smart stove based on Internet of Things technology according to claim 1, characterized in that: The smoke concentration is classified according to the air volume level of the smoke exhaust device in the stove, and the control unit controls the smoke exhaust volume of the smoke exhaust device according to the smoke concentration level in the stove corresponding to the smoke concentration in the image.

5. The smoke extraction method for a smart stove based on Internet of Things technology according to claim 1, characterized in that: If the difference between the clarity of each image output by the image analysis unit and the preset clarity corresponding to the image acquisition unit that acquired the image exceeds the range of the first preset threshold, then the image acquisition unit is cleaned up.

6. A smoke extraction system for an intelligent cooktop, characterized in that, A method for implementing the smoke extraction of a smart stove based on Internet of Things technology as described in any one of claims 1-5 includes: Multiple image acquisition units are used to simultaneously acquire images of smoke at the same location in the stove and obtain multiple images; An image analysis unit receives the multiple images transmitted by the image acquisition unit and analyzes the clarity of each image and the smoke concentration in each image. The control unit receives the clarity of each image and the smoke concentration in each image transmitted by the image analysis unit, and adjusts the smoke exhaust volume of the smoke exhaust device according to the clarity of each image and the smoke concentration in each image.

7. The smoke extraction system of the intelligent stove according to claim 6, characterized in that, The exhaust system of the smart stove also includes: The data processing unit receives and processes the clarity of each image and the smoke concentration in each image transmitted by the image analysis unit, as well as the preset clarity, first preset threshold and second preset threshold corresponding to the image acquisition unit that acquired each image. The control unit adjusts the smoke exhaust volume of the smoke exhaust device according to the signal transmitted by the data processing unit.

Images