Range hood control method, control device, readable storage medium, and range hood

Abstract

The present application relates to a kind of range hood control method, the method comprises the following steps: S1: starting range hood starts work, obtains real-time temperature image data in cooking area when range hood works;S2: real-time object movement image data in cooking area is obtained by range hood;S3: the working state of range hood is controlled by analyzing real-time temperature image data and real-time object movement image data.The range hood control method of the present application improves the singularity of infrared detection, makes the air volume control of range hood more sensitive, and the effect of smoke suction is more outstanding, and the user does not need to manually adjust the working state of range hood, so that range hood is more intelligent.

Description

Technical Field

[0001] This invention relates to the field of kitchen equipment technology, and in particular to a range hood control method, control device, readable storage medium, and range hood. Background Technology

[0002] As people's living standards improve, health has become a key word in life. Cooking fumes contain a variety of harmful substances, and excessive absorption can cause serious harm to the human body. As a result, range hoods have emerged.

[0003] Currently, most range hoods allow users to adjust the fan speed by selecting a level, while a small number of smart range hoods are equipped with infrared or smoke sensors. In practical applications, when manually adjusting the range hood level, the lag in operation leads to a mismatch between the required suction power and the generated fumes, causing fumes to overflow. When using smart control, existing range hoods primarily rely on infrared or smoke sensors to automatically control the fan speed. Adjusting the airflow based on the detection area of ​​an infrared sensor is prone to misjudgment because the temperature and amount of fumes in the cooking zone are not linearly related. Smoke sensors have a delay in detecting fumes, as there is approximately a 0.5-meter distance between the fumes and the detector, requiring some time for fumes to escape, resulting in poor smoke extraction, negatively impacting the user experience and their health. Therefore, a range hood that can effectively and intelligently remove fumes is a pressing issue in the smart kitchen field. Summary of the Invention

[0004] Therefore, it is necessary to provide an effective control method, control device, readable storage medium, and range hood that can only absorb cooking fumes, in order to address the above-mentioned problems.

[0005] A method for controlling a range hood, the method comprising the following steps: S1: Start the range hood and begin working. While the range hood is working, it acquires real-time temperature image data of the cooking zone. S2: Acquire real-time image data of object movement in the cooking area via the range hood; S3: Controls the operating status of the range hood by analyzing real-time temperature image data and real-time object movement image data.

[0006] This invention discloses a range hood control method. During cooking, heat and fumes are generated. By installing an infrared sensor on the range hood, real-time temperature image data of the cooking area is acquired. Based on the obtained temperature threshold, control commands are output to adjust the operating state of the range hood, thereby achieving intelligent control. Furthermore, by installing an image sensor on the range hood, the presence of fumes, human movement, or cooking utensil movement in the cooking area can be detected, acquiring image data of the movement status of objects in the cooking area. When fumes, human movement, or cooking utensil movement are present in the cooking area, and the temperature threshold undergoes a non-linear change, a control command to increase the airflow is output based on the changing temperature threshold to adjust the operating state of the range hood, further achieving intelligent control. The aforementioned control commands include a power-on command, an airflow adjustment command, and a power-off command.

[0007] To address the inaccuracies in infrared detection, the lag in smoke and odor sensing, the high demands on algorithm and chip performance in image recognition, and the potential for action misjudgment in existing fume monitoring systems, this invention provides a range hood control method. Leveraging the high sensitivity of infrared sensors, it controls the range hood's on / off states based on threshold changes. Furthermore, by incorporating image processing from an image sensor, when object movement occurs in the cooking area and the temperature threshold changes non-linearly, the range hood's speed is adjusted according to the threshold value. This improves upon the limitations of infrared detection, making the range hood's airflow control more sensitive and its smoke extraction effect superior. Moreover, it eliminates the need for manual adjustment of the range hood's operating status, making it more intelligent.

[0008] In some embodiments, the specific steps for starting the range hood and acquiring real-time temperature image data of the cooking area while the range hood is operating are as follows: S11: Identify the obtained temperature image data and use the temperature image data to determine the control command for the range hood.

[0009] The above-mentioned range hood control method is further defined as follows: temperature image data of the cooking area is acquired through an infrared sensor, and the control command of the range hood is determined using the acquired temperature image data. The working state of the range hood is adjusted by outputting the control command.

[0010] In some embodiments, the specific steps for identifying the obtained temperature image data and determining the control command for the range hood using the temperature image data are as follows: S111: Identify the temperature image data obtained from the cooking area and establish a thermal field model; S112: The temperature of the cooking area is determined by the thermal field model to obtain the control command.

[0011] The aforementioned range hood control method further specifies that after acquiring temperature image data of the cooking area through an infrared sensor, the acquired temperature image data is collected and identified to establish a thermal field model before determining the control command. This makes the determination of the control command more accurate and faster. By comparing and judging the temperature of the cooking area through the established thermal field model, a more accurate control command is obtained, making the range hood's airflow control more sensitive.

[0012] In some embodiments, the specific steps for acquiring real-time object movement image data in the cooking area via the range hood are as follows: S21: Determine whether there is a moving object in the cooking area, and use the acquired image data of the moving object to determine the control command of the range hood.

[0013] The above-mentioned range hood control method is further defined as follows: obtaining moving image data of an object through an image sensor, determining the control command of the range hood using the obtained moving image data, and adjusting the working state of the range hood by outputting the control command.

[0014] In some embodiments, the specific steps for determining whether a moving object exists in the cooking area and using the acquired image data of the moving object to determine the control command for the range hood are as follows: S211: Identify the object movement image data acquired in the cooking area, calculate the object movement speed in the monitoring area in real time, and establish a movement model; S212: Determine whether there is object movement in the image area using the motion model, and obtain control instructions for the range hood.

[0015] The aforementioned range hood control method further specifies that after acquiring motion image data of the cooking area through an image sensor, the acquired motion image data is collected and identified before determining the control command, and a motion model is established. This makes the determination of control commands more accurate and faster. By establishing the motion model, the presence or absence of smoke movement in the cooking area is identified and determined, resulting in more accurate control commands and making the range hood's operating status adjustment more sensitive and accurate.

[0016] In some embodiments, the step of determining whether there is object movement in the image region using the motion model to obtain control commands for the range hood includes: S213a: If it is determined that an object is moving in the cooking zone and the temperature image data changes non-linearly, obtain the control command for the range hood's airflow level based on the temperature image data change value.

[0017] The above-mentioned range hood control method further specifies that: since the amount of cooking fumes generated is not linearly related to temperature, and the amount of fumes does not increase linearly as the temperature of the cookware gradually increases, by simultaneously setting infrared sensors and image sensors in the system, when there is movement of objects in the cooking area and the temperature threshold changes, the system calculates the required exhaust air volume based on the range of temperature change, increases the air volume, and adjusts the working state of the range hood.

[0018] In some embodiments, the step of determining whether there is object movement in the image region using the motion model to obtain control commands for the range hood includes: S213b1: If it is determined that the object in the cooking area has not moved, the airflow setting command for the range hood is obtained based on the thermal field model.

[0019] S213b2: Record data as an interference model.

[0020] The aforementioned range hood control method further specifies that when there is a temperature change in the cooking area but no object is moving, the exhaust air volume is adjusted based on the established thermal field model. If there is a temperature change in the cooking area but no object is moving, the data is recorded as an interference model to train the movement model.

[0021] A control device includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the range hood control method as described in any one of claims 1 to 7.

[0022] A readable storage medium storing a program or instructions that, when executed, implement the steps of the range hood control method as described in any one of claims 1 to 7.

[0023] A range hood that implements the steps of the range hood control method as described in any one of claims 1 to 7, the range hood comprising: a housing; a fan assembly located inside the housing; an infrared sensor disposed on the side of the housing near the cooking area; an image sensor disposed on the side of the housing near the cooking area; and a control device disposed on the housing.

[0024] This application also discloses a range hood that uses an infrared sensor and an image sensor installed on the side of the housing near the cooking area to acquire real-time temperature image data of the cooking area and smoke movement image data. The obtained image data is used to form control commands to adjust the range hood's on / off state and adjust the air volume, thereby realizing intelligent control of the range hood. Furthermore, the range hood's speed can be adjusted according to the threshold value, making the air volume control of the range hood more sensitive and the smoke extraction effect more excellent. Attached Figure Description

[0025] Figure 1 This is one of the flowcharts for the range hood control method described in this invention; Figure 2 This is the second flowchart of the range hood control method described in this invention; Figure 3 This is the third flowchart of the range hood control method described in this invention; Figure 4 This is the fourth flowchart of the range hood control method described in this invention. Detailed Implementation

[0026] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0027] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0028] The following description, with reference to the accompanying drawings, outlines some embodiments of a range hood control method, control device, readable storage medium, and range hood.

[0029] like Figure 1 As shown, a range hood control method includes the following steps: S1: Start the range hood and begin working. While the range hood is working, it acquires real-time temperature image data of the cooking zone. S2: Acquire real-time image data of object movement in the cooking area via the range hood; S3: Controls the operating status of the range hood by analyzing real-time temperature image data and real-time object movement image data.

[0030] This invention discloses a range hood control method. During cooking, heat and fumes are generated. By installing an infrared sensor on the range hood, real-time temperature image data of the cooking area is acquired. Based on the obtained temperature threshold, a control command is output to adjust the operating state of the range hood, thereby achieving intelligent control. Furthermore, by installing an image sensor on the range hood, image data of the movement of fumes in the cooking area is acquired. When fumes move in the cooking area and the temperature threshold changes non-linearly, a control command to increase the airflow is output based on the changing temperature threshold, further adjusting the operating state of the range hood and achieving intelligent control. The aforementioned control commands include a power-on command, an airflow adjustment command, and a power-off command.

[0031] To address the inaccuracies in infrared detection, the lag in object and odor sensing in existing fume monitoring systems, the high demands on algorithm and chip performance for image recognition, and the potential for action misjudgment, this invention provides a range hood control method. Leveraging the high sensitivity of infrared sensors, it controls the range hood's on / off states based on threshold changes. Furthermore, by incorporating image processing from an image sensor, when object movement occurs in the cooking area and the temperature threshold changes non-linearly, the range hood's speed is adjusted according to the threshold value. This improves upon the limitations of infrared detection, making the range hood's airflow control more sensitive and its smoke extraction effect superior. Moreover, it eliminates the need for manual adjustment of the range hood's operating status, making it more intelligent.

[0032] like Figure 1 and Figure 2 As shown, in this embodiment, the specific steps for starting the range hood and acquiring real-time temperature image data of the cooking area while the range hood is working are as follows: S11: Identify the obtained temperature image data and use the temperature image data to determine the control command for the range hood.

[0033] The above-mentioned range hood control method is further defined as follows: temperature image data of the cooking area is acquired through an infrared sensor, and the control command of the range hood is determined using the acquired temperature image data. The working state of the range hood is adjusted by outputting the control command.

[0034] like Figure 2 As shown, in this embodiment, the specific steps for identifying the obtained temperature image data and determining the control command for the range hood using the temperature image data are as follows: S111: Identify the temperature image data obtained from the cooking area and establish a thermal field model; S112: The temperature of the cooking zone is determined by the thermal field model, and control commands are obtained.

[0035] The aforementioned range hood control method further specifies that after acquiring temperature image data of the cooking area through an infrared sensor, the acquired temperature image data is collected and identified to establish a thermal field model before determining the control command. This makes the determination of the control command more accurate and faster. By comparing and judging the temperature of the cooking area through the established thermal field model, a more accurate control command is obtained, making the range hood's airflow control more sensitive.

[0036] like Figure 1 and Figure 3 As shown, in this embodiment, the specific steps for acquiring real-time object movement image data in the cooking area using a range hood are as follows: S21: Determine whether there is a moving object in the cooking area, and use the acquired image data of the moving object to determine the control command for the range hood.

[0037] The above-mentioned range hood control method is further defined as follows: obtaining moving image data of an object through an image sensor, determining the control command of the range hood using the obtained moving image data, and adjusting the working state of the range hood by outputting the control command.

[0038] like Figure 1 and Figure 3 As shown, in this embodiment, the specific steps for determining whether there is a moving object in the cooking area and using the acquired image data of the moving object to determine the control command of the range hood are as follows: S211: Identify the moving image data of objects acquired in the cooking area, calculate the moving speed of objects in the monitoring area in real time, and establish a moving model; S212: Determine whether there is object movement in the image area by using a motion model, and obtain the control command for the range hood.

[0039] The aforementioned range hood control method further specifies that after acquiring motion image data of the cooking area through an image sensor, the acquired motion image data is collected and identified before determining the control command, and a motion model is established. This makes the determination of control commands more accurate and faster. By establishing the motion model, the presence or absence of smoke movement in the cooking area is identified and determined, resulting in more accurate control commands and making the range hood's operating status adjustment more sensitive and accurate.

[0040] like Figure 4 As shown, in this embodiment, the motion model is used to determine whether there is object movement in the image area, and the control commands for the range hood are obtained as follows: S213a: If it is determined that an object is moving in the cooking zone and the temperature image data changes non-linearly, obtain the control command for the range hood's airflow level based on the temperature image data change value.

[0041] The above-mentioned range hood control method further specifies that: since the amount of cooking fumes generated is not linearly related to temperature, and the amount of fumes does not increase linearly as the temperature of the cookware gradually increases, by simultaneously setting infrared sensors and image sensors in the system, when there is movement of objects in the cooking area and the temperature threshold changes, the system calculates the required exhaust air volume based on the range of temperature change, increases the air volume, and adjusts the working state of the range hood.

[0042] like Figure 4 As shown, in this embodiment, the motion model is used to determine whether there is object movement in the image area, and the control commands for the range hood are obtained as follows: S213b1: If it is determined that the object in the cooking area has not moved, obtain the control command for the air volume level of the range hood based on the thermal field model.

[0043] S213b2: Record data as an interference model.

[0044] The aforementioned range hood control method further specifies that when there is a temperature change in the cooking area but no object is moving, the exhaust air volume is adjusted based on the established thermal field model. If there is a temperature change in the cooking area but no object is moving, the data is recorded as an interference model to train the movement model.

[0045] A control device includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein when the program or instructions are executed by the processor, they implement the steps of the range hood control method as described in any one of claims 1 to 7.

[0046] A readable storage medium storing a program or instructions, which, when executed, implement the steps of the range hood control method as claimed in any one of claims 1 to 7.

[0047] A range hood that implements the steps of the range hood control method as described in any one of claims 1 to 7, the range hood comprising: a housing; a fan assembly located inside the housing; an infrared sensor disposed on the side of the housing near the cooking area; an image sensor disposed on the side of the housing near the cooking area; and a control device disposed on the housing.

[0048] This application also discloses a range hood that uses an infrared sensor and an image sensor installed on the side of the housing near the cooking area to acquire real-time temperature image data of the cooking area and smoke movement image data. The obtained image data is used to form control commands to adjust the range hood's on / off state and adjust the air volume, thereby realizing intelligent control of the range hood. Furthermore, the range hood's speed can be adjusted according to the threshold value, making the air volume control of the range hood more sensitive and the smoke extraction effect more excellent.

[0049] 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.

[0050] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A method for controlling a range hood, characterized in that, The method includes the following steps: S1: Start the range hood and begin working. While the range hood is working, it acquires real-time temperature image data of the cooking zone. S2: Acquire real-time image data of object movement in the cooking area via the range hood; S3: Controls the working status of the range hood by analyzing real-time temperature image data and real-time object movement image data to obtain control commands; The specific steps for obtaining real-time object movement image data in the cooking area through the range hood are as follows: S21: Determine whether there is a moving object in the cooking area, and use the obtained object movement image data to determine the control command of the range hood; The specific steps for determining whether there is a moving object in the cooking area and using the acquired image data of the moving object to determine the control command of the range hood are as follows: S211: Identify the image data of the moving object acquired in the cooking area, calculate the moving speed of the object in the monitoring area in real time, and establish a movement model; S212: Determine whether there is moving object in the image area through the movement model, and obtain the control command for the range hood. The step of determining whether there is object movement in the image area through the motion model and obtaining the control command for the range hood includes: S213a: If it is determined that an object is moving in the cooking area and the temperature image data changes non-linearly, the control command for the air volume level of the range hood is obtained based on the temperature image data change value. The step of determining whether there is object movement in the image area through the motion model and obtaining the control command for the range hood includes: S213b1: If it is determined that there is no object movement in the cooking area, obtain the control command for the fan speed of the range hood based on the temperature image data; S213b2: Record the data as an interference model to train the motion model.

2. The range hood control method according to claim 1, characterized in that, The specific steps for starting the range hood and acquiring real-time temperature image data of the cooking area while the range hood is working are as follows: S11: Identify the obtained temperature image data and use the temperature image data to determine the control command for the range hood.

3. The range hood control method according to claim 2, characterized in that, The specific steps for identifying the obtained temperature image data and determining the control command for the range hood using the temperature image data are as follows: S111: Identify the temperature image data obtained from the cooking area and establish a thermal field model; S112: The temperature of the cooking area is determined by the thermal field model to obtain the control command.

4. A control device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein when the program or instructions are executed by the processor, they implement the steps of the range hood control method as described in any one of claims 1 to 3.

5. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions, which, when executed, implement the steps of the range hood control method as described in any one of claims 1 to 3.

6. A range hood, characterized in that, The range hood implements the steps of the range hood control method as described in any one of claims 1 to 3. The range hood includes a housing; A fan assembly, the fan assembly being located inside the housing; An infrared sensor is mounted on the housing and located on the side closest to the cooking area; An image sensor is disposed on the housing and located on the side closer to the cooking area; A control device is mounted on the housing.

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