CN-122015148-A - Range hood control method based on flame image, range hood and intelligent linkage system
Abstract
The application relates to a range hood control method based on a flame image, a range hood and an intelligent linkage system, wherein the range hood control method based on the flame image comprises the steps of acquiring the flame image, acquiring flame generated when fuel gas is combusted on a kitchen range by an image sensor, arranging the kitchen range and the range hood oppositely, analyzing the flame in the flame image to obtain turbulence characteristics reflecting dynamic changes of the flame, determining gas flow information based on the turbulence characteristics, and adjusting the air quantity gear of the range hood based on the gas flow information, so that the problem of poor reliability of air quantity control of the range hood is solved, the accurate pre-judgment of the change of the fuel gas quantity in the cooking process is realized by efficiently and reliably feeding back the flow condition of the fuel gas by the technical means of image processing, the conditions of adjustment lag and error shutdown are avoided, the reliability of intelligent control is improved, and better cooking experience is brought to users.
Inventors
- HE LIBO
Assignees
- 宁波方太厨具有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260202
Claims (10)
- 1. The control method of the range hood based on the flame image is characterized by comprising the following steps of: Acquiring a flame image, wherein the flame image is acquired by an image sensor through acquiring flame generated when gas on a kitchen range burns; Analyzing the flame in the flame image to obtain turbulence characteristics reflecting the dynamic change of the flame; and determining gas flow information based on the turbulence characteristics, and adjusting the air quantity gear of the range hood according to the gas flow information.
- 2. The control method of the range hood based on the flame image according to claim 1, wherein the analyzing the flame in the flame image to obtain the turbulence characteristic reflecting the dynamic change of the flame comprises the following steps: calculating the coordinate offset of each edge point in the flame contour based on two adjacent frames of the flame images; and calculating the turbulence intensity of the flame based on each coordinate offset, wherein the turbulence intensity is used for representing turbulence characteristics.
- 3. The method for controlling a range hood based on a flame image according to claim 2, wherein calculating the coordinate offset of each edge point in the flame profile based on two adjacent frames of the flame image comprises: Respectively carrying out edge detection on two adjacent frames of flame images to obtain two frames of flame contour images; and calculating the coordinate offset of each edge point in the flame contour based on the two frames of the flame contour images.
- 4. The method for controlling a range hood based on flame images according to claim 3, wherein the edge detection is performed on two adjacent frames of the flame images respectively to obtain two frames of flame contour images, and the method comprises the following steps: Respectively preprocessing two adjacent frames of flame images to obtain two frames of flame gray images, wherein the preprocessing comprises gray processing and filtering processing; and carrying out edge detection on the two frames of flame gray level images to obtain two frames of flame contour images.
- 5. The range hood control method based on flame images according to claim 3, wherein calculating the coordinate offset of each edge point in the flame profile based on two frames of the flame profile images comprises: respectively extracting edge points of two flame contours from the two frames of flame contour images; pairing the edge points of the two flame contours to obtain a coordinate set of the pairing points; And calculating Euclidean distance between the pairing points based on the coordinate set of the pairing points to obtain the coordinate offset of each edge point in the flame profile.
- 6. The flame image based range hood control method of claim 2, wherein determining gas flow information based on the turbulence characteristics, adjusting an air volume gear of the range hood according to the gas flow information, comprises: Determining a flow gear of the gas based on the turbulence intensity; based on the flow gear, correspondingly adjusting the air quantity gear of the range hood.
- 7. The method of claim 1, wherein analyzing the flame in the flame image to obtain turbulence characteristics reflecting dynamic changes of the flame comprises: Acquiring a gray level image corresponding to the flame image; Calculating the distribution probability of gray values for each pixel point in the gray image; and calculating the entropy value of the flame light pattern based on the distribution probability of the gray value, wherein the entropy value of the flame light pattern is used for representing the turbulence characteristic.
- 8. The flame image based range hood control method of claim 7, wherein determining gas flow information based on the turbulence characteristics, adjusting an air volume gear of the range hood according to the gas flow information, comprises: Substituting the entropy of the flame light pattern into a preset flow relation, and calculating to obtain the flow value of the fuel gas, wherein the flow relation is a relation between the preset flame entropy and the fuel gas flow; and correspondingly adjusting the air quantity gear of the range hood based on the flow value.
- 9. The range hood is characterized by comprising a fan driving module and a control module; The fan driving module is connected with the control module and used for adjusting the air quantity gear; the control module is adapted to perform the steps of the method of any one of claims 1 to 8.
- 10. An intelligent linkage system of a range hood is characterized by comprising an image sensor, a range and the range hood in claim 9.
Description
Range hood control method based on flame image, range hood and intelligent linkage system Technical Field The application relates to the technical field of intelligent household appliances, in particular to a range hood control method based on flame images, a range hood and an intelligent linkage system. Background In modern kitchen environment, the range hood is used as an indispensable household appliance, and the core function of the range hood is to efficiently pump and exhaust oil smoke, peculiar smell and heat generated in the cooking process by utilizing negative pressure generated by a fan. In particular, when high-heat cooking such as quick-frying is performed, a large amount of oil smoke is instantaneously generated, and the emission is particularly severe. At this time, the user often needs to concentrate on the operation of the cooking bench, and is difficult to simultaneously consider the manual regulation of lampblack absorber amount of wind, leads to the lampblack to inhale untimely. Therefore, intelligent control of the range hood is realized, and the intelligent control is a key ring for improving user experience. The traditional scheme is to install an infrared temperature measuring device on the range hood, carry out non-contact temperature measurement to a pot, a furnace end and the like above the kitchen range, judge the opening and closing states of the kitchen range according to temperature change, and control the opening and the air quantity of the range hood. However, the temperature data measured by the scheme is average temperature in a large area of a kitchen range table top, the local temperature rise at the moment of opening and closing has little influence on a measurement result, and under the condition of covering a cooker cover, the measurement value is easy to average by a surrounding low-temperature area. Therefore, the working state of the kitchen range cannot be accurately reflected in the existing scheme, so that the situations of startup lag, error shutdown and the like of the range hood are easy to occur. Aiming at the problem of insufficient control reliability of the range hood in the linkage of the range hood in the related art, no effective solution is proposed at present. Disclosure of Invention The embodiment provides a range hood control method based on flame images, a range hood and an intelligent linkage system, so as to solve the problem of poor control reliability of the range hood in the related technology. In a first aspect, in this embodiment, there is provided a range hood control method based on a flame image, where the method includes: Acquiring a flame image, wherein the flame image is acquired by an image sensor through acquiring flame generated when gas on a kitchen range burns; Analyzing the flame in the flame image to obtain turbulence characteristics reflecting the dynamic change of the flame; and determining gas flow information based on the turbulence characteristics, and adjusting the air quantity gear of the range hood based on the gas flow information. In some of these embodiments, analyzing the flames in the flame image to obtain turbulence characteristics reflecting dynamic changes in the flame, includes: calculating the coordinate offset of each edge point in the flame contour based on two adjacent frames of the flame images; and calculating the turbulence intensity of the flame based on each coordinate offset, wherein the turbulence intensity is used for representing turbulence characteristics. In some embodiments, calculating the coordinate offset of each edge point in the flame contour based on two adjacent frames of the flame images includes: Respectively carrying out edge detection on two adjacent frames of flame images to obtain two frames of flame contour images; and calculating the coordinate offset of each edge point in the flame contour based on the two frames of the flame contour images. In some embodiments, edge detection is performed on two adjacent frames of the flame images, so as to obtain two frames of flame contour images, including: Respectively preprocessing two adjacent frames of flame images to obtain two frames of flame gray images, wherein the preprocessing comprises gray processing and filtering processing; and carrying out edge detection on the two frames of flame gray level images to obtain two frames of flame contour images. In some embodiments, the calculating the coordinate offset of each edge point in the flame contour based on the two frames of the flame contour image includes: respectively extracting edge points of two flame contours from the two frames of flame contour images; pairing the edge points of the two flame contours to obtain a coordinate set of the pairing points; And calculating Euclidean distance between the pairing points based on the coordinate set of the pairing points to obtain the coordinate offset of each edge point in the flame profile. In some of these embodiments, determining gas f