CN-122004671-A - Intelligent control method and system for air fryer

Abstract

The application relates to an intelligent control method and system for an air fryer, and relates to the technical field of household appliances; the method comprises the steps of determining a food material placing area and a food material placing type according to an internal image of a frying basket, constructing a random blowing operation direction and heating operation temperature as a heating treatment scheme, determining theoretical holding temperatures of all position points according to the heating treatment scheme and the food material placing area, determining food material required temperatures corresponding to the food material placing type according to a preset temperature matching relation, calculating difference values according to the food material required temperatures and the theoretical holding temperatures to determine food material deviation temperatures, analyzing according to all the food material deviation temperatures to determine a scheme proper value, defining a heating treatment scheme corresponding to the maximum scheme proper value as an optimal treatment scheme, and controlling an air frying pan to automatically operate according to the optimal treatment scheme. The application has the function of improving the overall use effect of the air fryer.

Inventors

• ZHANG YULONG

Assignees

• 宁波晶戈星电子有限公司

Dates

Publication Date

20260512

Application Date

20260331

Claims (8)

1. 1. An intelligent control method for an air fryer, comprising: Acquiring an image of the interior of the frying basket; performing characteristic recognition analysis according to the internal image of the frying basket to determine a food material placement area and a food material placement type; constructing a random blowing operation direction and heating operation temperature as a heating treatment scheme, and analyzing according to the heating treatment scheme and the food placement area to determine the theoretical holding temperature of each position point; determining a food material demand temperature corresponding to the food material placement type according to a preset temperature matching relation, and performing difference calculation according to the food material demand temperature and a theoretical holding temperature to determine a food material deviation temperature; and analyzing according to all the food material deviation temperatures to determine a proper scheme value, defining a heating treatment scheme corresponding to the maximum proper scheme value as an optimal treatment scheme, and controlling the air fryer to automatically operate according to the optimal treatment scheme.
2. 2. The intelligent control method for an air fryer according to claim 1, wherein the step of performing a feature recognition analysis from the basket interior image to determine the food material placement area comprises: Performing characteristic recognition analysis according to the internal image of the frying basket to determine food material characteristic points, and determining characteristic separation distances according to the food material characteristic points; Inducing two food material characteristic points with characteristic spacing less than a preset similar spacing distance into the same preset initial empty characteristic storage set; connecting the food material characteristic points in each characteristic storage set to construct an external enclosing outline, and determining an external enclosing line segment according to the external enclosing outline; according to the characteristic points of the food material which are not positioned on the outer enclosing outline, taking a vertical point on an outer enclosing line segment, defining the characteristic points of the food material when the vertical point is positioned on the outer enclosing line segment as the accompanying points of the outer enclosing line segment, and determining accompanying distance according to the accompanying points; defining an accompanying point corresponding to the minimum accompanying distance as an expanding point of the outer enclosing line segment, correcting the outer enclosing line segment according to the expanding point, and redetermining the outer enclosing contour according to the corrected outer enclosing line segment until any expanding point does not exist, and determining a region enclosed by the outer enclosing contour as a food material placing region.
3. 3. The intelligent control method for an air fryer according to claim 2, wherein after the expansion point is determined, the intelligent control method for an air fryer further comprises: counting in the case that a single concomitant point is defined as an expansion point to determine the concomitant expansion times; judging whether the number of the concomitant expansion is greater than one; If the number of the concomitant expansion is not more than one, maintaining the corresponding relation between the currently determined expansion point and the external enclosing line segment; If the number of the concomitant expansion is greater than one, determining the length of an external line segment according to the external enclosing line segment, and calculating according to the length of the external line segment and the corresponding concomitant distance to determine the inward contraction area; And eliminating the corresponding relations except the corresponding relation between the expansion point corresponding to the maximum shrinking area and the outer enclosing line segment.
4. 4. The intelligent control method for an air fryer according to claim 3, wherein the step of performing a feature recognition analysis based on the basket interior image to determine the food material placement type comprises: Determining the area of a placement area according to the food material placement area, and calculating according to the area of the placement area to determine the required representative quantity; randomly generating detection points in the food material placing area according to the demand representative quantity, and defining a detection area according to the detection points; counting according to all the food material characteristic points to determine the internal characteristic quantity, and calculating according to the food material characteristic points in the detection area and the internal characteristic quantity to determine the internal coverage ratio; And performing feature recognition according to the detection area determined by the maximum internal coverage ratio to determine the local type of the food material, and analyzing according to the local type of each food material to determine the placement type of the food material.
5. 5. The intelligent control method for an air fryer according to claim 4, wherein after the internal coverage ratio is determined, the intelligent control method for an air fryer further comprises: Counting according to food material characteristic points in a single detection area to determine the number of single characteristics; determining a monomer correction coefficient corresponding to the number of the monomer features according to a preset correction matching relationship; and calculating according to all the monomer correction coefficients to determine an overall correction coefficient, and updating the internal coverage duty ratio according to the overall correction coefficient.
6. 6. The intelligent control method for an air fryer according to claim 1, wherein the step of analyzing to determine a recipe appropriate value based on all food material offset temperatures comprises: determining upper limit deviation temperature and temperature sensitivity feedback corresponding to food placement types according to a preset food matching relationship; judging whether the deviation temperature of the food materials is larger than the corresponding upper limit deviation temperature; outputting a first proper value if the food material deviation temperature is greater than the corresponding upper limit deviation temperature, wherein the first proper value is a negative value; if the food deviation temperature is not greater than the corresponding upper limit deviation temperature, calculating according to the temperature sensitivity feedback and the food deviation temperature to determine a second proper value; a calculation is performed based on all of the first suitable values and the second suitable values to determine a protocol suitable value.
7. 7. The intelligent control method for an air fryer according to claim 6, wherein after the determination of the recipe proper value, the intelligent control method for an air fryer further comprises: Judging whether the maximum scheme proper value is larger than a preset reference proper value or not; if the maximum proper value of the scheme is larger than the reference proper value, determining an optimal processing scheme to perform automatic operation; if the maximum proper value of the scheme is not greater than the reference proper value, outputting an adjusting signal, defining a food placement type corresponding to the proper value smaller than a preset proper value of the requirement as a requirement change type, and defining a food placement area corresponding to the requirement change type as a change simulation area; And randomly placing the change simulation area in a preset available placement area to construct an adjustment processing scheme, determining a scheme proper value according to the adjustment processing scheme, and defining the adjustment processing scheme corresponding to the maximum scheme proper value as an effective processing scheme and outputting the effective processing scheme.
8. 8. An intelligent control system for an air fryer for implementing an intelligent control method for an air fryer according to any one of claims 1-7, comprising: The acquisition module is used for acquiring an image of the interior of the frying basket; the processing module is connected with the acquisition module and used for storing and processing information; the processing module performs characteristic recognition analysis according to the internal image of the frying basket to determine a food material placement area and a food material placement type; The processing module constructs a random blowing operation direction and heating operation temperature as a heating treatment scheme, and analyzes according to the heating treatment scheme and the food material placement area to determine the theoretical holding temperature of each position point; The processing module determines food material demand temperature corresponding to the food material placement type according to a preset temperature matching relation, and calculates a difference value according to the food material demand temperature and the theoretical holding temperature to determine food material deviation temperature; the processing module analyzes according to all the food material deviation temperatures to determine a proper scheme value, defines a heating treatment scheme corresponding to the maximum proper scheme value as an optimal treatment scheme, and controls the air fryer to automatically operate according to the optimal treatment scheme.

Description

Intelligent control method and system for air fryer Technical Field The application relates to the technical field of household appliances, in particular to an intelligent control method and system for an air fryer. Background The air fryer is widely popular as a household appliance for cooking by utilizing a high-speed circulating hot air technology, and has the core working principle that a built-in heating element is matched with a high-speed fan to form high-temperature turbulence in a cavity, and food is heated by forced convection heat transfer, so that the crispy taste similar to frying is realized. At present, a thermal field inside the air fryer is formed by blowing a fan to bring out heat on a heating point, a temperature sensor is arranged at each position point in the air fryer for monitoring the temperature, when the temperature of the position point is detected to deviate from an allowable range, the temperature adjustment is realized by adjusting the operation direction of the fan, for example, when the temperature of a certain position point is lower, the operation direction of the fan is adjusted to blow towards the position point, so that the temperature is raised. In the above related art, when the temperature deviation occurs in the position of the air fryer, the temperature of the rest positions is easy to change through the adjustment of the positions of the fans, so that the temperature of the rest positions is not satisfied, and the fans are required to be frequently adjusted, so that the overall use effect is poor. Disclosure of Invention In order to improve the overall use effect of the air fryer, the application provides an intelligent control method and system for the air fryer. In a first aspect, the present application provides an intelligent control method for an air fryer, which adopts the following technical scheme: an intelligent control method for an air fryer comprising: Acquiring an image of the interior of the frying basket; performing characteristic recognition analysis according to the internal image of the frying basket to determine a food material placement area and a food material placement type; constructing a random blowing operation direction and heating operation temperature as a heating treatment scheme, and analyzing according to the heating treatment scheme and the food placement area to determine the theoretical holding temperature of each position point; determining a food material demand temperature corresponding to the food material placement type according to a preset temperature matching relation, and performing difference calculation according to the food material demand temperature and a theoretical holding temperature to determine a food material deviation temperature; and analyzing according to all the food material deviation temperatures to determine a proper scheme value, defining a heating treatment scheme corresponding to the maximum proper scheme value as an optimal treatment scheme, and controlling the air fryer to automatically operate according to the optimal treatment scheme. Optionally, the step of performing feature recognition analysis according to the basket interior image to determine the food material placement area includes: Performing characteristic recognition analysis according to the internal image of the frying basket to determine food material characteristic points, and determining characteristic separation distances according to the food material characteristic points; Inducing two food material characteristic points with characteristic spacing less than a preset similar spacing distance into the same preset initial empty characteristic storage set; connecting the food material characteristic points in each characteristic storage set to construct an external enclosing outline, and determining an external enclosing line segment according to the external enclosing outline; according to the characteristic points of the food material which are not positioned on the outer enclosing outline, taking a vertical point on an outer enclosing line segment, defining the characteristic points of the food material when the vertical point is positioned on the outer enclosing line segment as the accompanying points of the outer enclosing line segment, and determining accompanying distance according to the accompanying points; defining an accompanying point corresponding to the minimum accompanying distance as an expanding point of the outer enclosing line segment, correcting the outer enclosing line segment according to the expanding point, and redetermining the outer enclosing contour according to the corrected outer enclosing line segment until any expanding point does not exist, and determining a region enclosed by the outer enclosing contour as a food material placing region. Optionally, after the expansion point is determined, the intelligent control method for the air fryer further comprises: counting in the case that a single concomita