Air fryer and processor, cleaning method thereof

Abstract

The application provides an air fryer and a processor and a cleaning method thereof. The cleaning method comprises the following steps: entering an oil stain self-checking program, generating an oil stain detection instruction and executing; obtaining an average oil stain value Y Σ1 ; comparing the average oil stain value Y Σ1 with a preset critical oil stain value Y max , and judging whether the air fryer enters a self-cleaning program; opening a water outlet valve of a cleaning water tank, and spraying cleaning water through a spraying nozzle; opening a water return valve of a sewage tank, and receiving and storing oil stain water; obtaining the average oil stain value Y Σ2 ; comparing the average oil stain value Y Σ2 with Y max ; if Y Σ2 Y max , outputting a cleaning success instruction; if the self-cleaning program execution frequency U is less than an upper limit Umax of the self-cleaning program execution frequency, and Y Σ2 Y max , outputting a self-cleaning instruction; and if Y Σ2 Y max , and U=Umax, outputting an oil stain uncleaned warning instruction.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of kitchen appliances, in particular to an air fryer and a processor thereof, and a cleaning method. BACKGROUND

[0002] An air fryer is a machine that can use air to process food, mainly using air to replace the hot oil in the original frying pan to make food cooked. At the same time, the hot air also blows away the water on the surface of the food, so that the food reaches the effect of oil frying. The working principle of the air fryer is to use high-speed air circulation technology, and the unique combination of fast circulating hot air and internal spiral lines to make the cooking effect reach the effect and taste of oil frying. In simple terms, when heating, high-temperature hot air is generated in the pot body to form a crispy surface on the surface of the food, locking the moisture inside the food, achieving the taste of ordinary fried food.

[0003] Although the air fryer does not need to add extra cooking oil when used, the oil carried by the food itself will also be heated and released. Therefore, if the user does not clean the residual stains in the air fryer in time, the air fryer will adhere to some oil stains, which will become a breeding ground for bacteria over time, and a large amount of mold will grow, seriously threatening the health of the user.

[0004] Prior art example, refer to patent document CN110870695B, discloses a self-cleaning method of a cooking appliance and a cooking appliance, the self-cleaning method of the cooking appliance comprises: obtaining the pollution degree in the cooking appliance and the preset pollution threshold of the cooking appliance; judging whether the cooking appliance needs to enter the self-cleaning program according to the pollution degree and the preset pollution threshold, if it needs to enter the self-cleaning program, generating a self-cleaning instruction; executing the self-cleaning instruction. The present application determines whether the cooking appliance needs to execute the self-cleaning program by detecting the pollution degree and the relationship between the detected pollution degree and the preset pollution threshold, and directly executes the self-cleaning instruction when the judgment result is yes, avoiding the situation that when the cooking appliance is already dirty and the user does not clean the cooking appliance, the dirt in the cooking appliance will mildew and deteriorate, ensuring that the cooking appliance is clean in subsequent use, the whole cleaning process does not need to be confirmed by the user, improving the intelligent degree of the cooking appliance and thus improving the market competitiveness of the product.

[0005] However, there are certain defects in the existing air fryer self-cleaning technology, for example:

[0006] 1. The pollution data is calculated based on the cooking recipe, the cooking times and the cooking duration, so there is a deviation between the actual pollution data and the calculated data, resulting in an unsatisfactory self-cleaning effect; 2. The eating habits in China are diversified, so the types, combinations and methods of actual cooking materials are diversified and personalized, resulting in that the preset cooking parameters cannot meet the actual needs; 3. After the self-cleaning program is performed, there is no self-checking program to determine whether the cleaning is in place, so even after self-cleaning, the appliance may still be contaminated, resulting in a health risk to the user when using the appliance. SUMMARY

[0007] In order to overcome the above-mentioned deficiencies of the prior art, the first aspect of the present application provides a cleaning method for an air fryer, the second aspect provides an air fryer, and the third aspect provides a processor in an air fryer. Thus, the functions of pre-cleaning oil stain self-checking, self-cleaning, post-cleaning oil stain detection, multi-point cleaning and active cleaning spray path training are realized, the oil stain cleaning function of the air fryer is met, the user uses more at ease, and the market competitiveness of the product is ultimately improved.

[0008] The technical solution of the present application to solve the technical problem is: a cleaning method for an air fryer, comprising the following steps:

[0009] S1. In the initial boot state or the state of not heating for a certain time, the air fryer enters an oil stain self-checking program, generates an oil stain detection instruction and executes it;

[0010] S2. The oil stain in the air fryer is detected multiple times to obtain actual oil stain values Y1, Y2, Y3……Y N , and the average oil stain value Y Σ1 = (Y1, Y2, Y3……Y N ) / N is taken;

[0011] S3. The average oil stain value Y Σ1 is compared with a preset critical oil stain value Y max to determine whether the air fryer enters a self-cleaning program, and if so, a self-cleaning execution instruction is output;

[0012] S4. After receiving the self-cleaning instruction, the water outlet valve of the cleaning water tank is opened, and cleaning water is sprayed into the air fryer through the spray nozzle;

[0013] S5. The water return valve of the sewage tank is opened to receive and store the oil stain water from the air fryer;

[0014] S6. Repeat step S2 to obtain the average oil stain value Y Σ2 = (Y1, Y2, Y3……Y N ) / N;

[0015] S7, outputting a cleaning success instruction if the average oil stain value Y Σ2 and the preset critical oil stain value Y max In contrast, if Y Σ2 < Y max , outputting a cleaning success instruction; the number of consecutive executions of the self-cleaning program is U, and there is a maximum number of executions Umax of the self-cleaning program, if Y Σ2 ≥ Y max and U < Umax, outputting a self-cleaning instruction and repeating steps S3-S7; if Y Σ2 ≥ Y max and U = Umax, outputting a warning instruction that the oil stain has not been cleaned.

[0016] In any of the above technical solutions, preferably, in step S2, the detection points in the air fryer include any one or more of a fan position detection point, a heating pipe position detection point, a basket position detection point, and a pot body position detection point.

[0017] In any of the above technical solutions, preferably, in step S4, the spray nozzle is provided with a plurality of spray paths with independent motion trajectories, forming a spray path L1 corresponding to the fan position detection point, a spray path L2 corresponding to the heating pipe position detection point, a spray path L3 corresponding to the basket position detection point, and a spray path L4 corresponding to the pot body position detection point.

[0018] Further to the above technical solution, the training method of the active cleaning spray path L5 is also included: sampling spray path parameters at nearly M times of cleaning, analyzing the spray path parameters to obtain the active cleaning spray path L5, and the spray path L5 responding to the active cleaning instruction issued by the user.

[0019] When the total number of uses does not reach M times, the active cleaning spray path is not yet produced, and the active cleaning function will not be enabled after the user issues an active cleaning instruction.

[0020] More specifically, the spray path parameters include M1 times of spray path L1, M2 times of spray path L2, M3 times of spray path L3, and M4 times of spray path L4, where M = M1 + M2 + M3 + M4.

[0021] The cleaning duration of the active cleaning spray path L5 is T, and the motion trajectory of the trained spray path L5 includes ((M1 / M)*T) of spray path L1, ((M2 / M)*T) of spray path L2, ((M3 / M)*T) of spray path L3, and ((M4 / M)*T) of spray path L4.

[0022] In any of the above technical solutions, preferably, the detection device executing the oil stain detection instruction comprises any one or a combination thereof of: an image detection device, an odor detection device, and a solution component detection device.

[0023] If a plurality of devices are combined, the image detection device has a weighting coefficient A1 for obtaining an oil stain value, the odor detection device has a weighting coefficient A2 for obtaining an oil stain value, and the solution component detection device has a weighting coefficient A3 for obtaining an oil stain value.

[0024] In any of the above technical solutions, preferably, in step S2, a softening oil stain execution instruction is output, so as to start the heating device to heat the oil stain.

[0025] In step S6, a spray nozzle dynamic execution instruction is output, so as to start the booster pump to boost the cleaning water in the water outlet pipeline, and start the rotating mechanism to reverse the spray nozzle.

[0026] According to another aspect of the present application, a processor of an air fryer is provided, which is applied to the cleaning method of the air fryer as described above, and comprises:

[0027] A first response module is configured to output a self-cleaning execution instruction in response to a self-cleaning program of the air fryer.

[0028] A second response module is configured to output an active cleaning execution instruction in response to an active cleaning instruction program of the air fryer.

[0029] An oil stain detection module is configured to output an oil stain detection execution instruction in response to an oil stain self-checking program of the air fryer.

[0030] A human-computer interaction module is configured to communicate with the second response module in response to an operation input instruction of a user.

[0031] According to another aspect of the present application, an air fryer is provided, which comprises:

[0032] A housing having a pot body;

[0033] A frying basket detachably connected to the pot body;

[0034] A fan assembly and a heating assembly, both of which are assembled in the housing;

[0035] A cleaning water tank communicated with the pot body through a water outlet pipeline, and a water outlet valve is arranged in the water outlet pipeline;

[0036] A sewage tank communicated with the pot body through a water return pipeline, and a water return valve is arranged in the water return pipeline;

[0037] A plurality of spray nozzles arranged on the pot body and communicated with the water outlet pipeline;

[0038] A human-computer operation assembly arranged on the housing;

[0039] An electric control board is communicatively connected with the human-machine operation assembly, used for controlling various electrical components in the air fryer, and integrated with a memory and a processor.

[0040] In the preferred embodiment of the air fryer scheme of the present application, a heating device is further included, which is arranged in any one or more of the cleaning water tank, the water outlet pipeline, the spray nozzle and the pot body.

[0041] Further, the spray nozzle is connected to the pot body through a rotating mechanism, so as to form a rotating cooperation with the pot body.

[0042] The water outlet pipeline is further connected with a booster pump.

[0043] The rotating mechanism and the booster pump are both communicatively connected with the electric control board.

[0044] The present application has the following beneficial effects:

[0045] I. The functions of self-checking of oil stains before cleaning, self-cleaning, checking of oil stains after cleaning, and warning of incomplete cleaning are realized, the oil stain cleaning function of the air fryer is met, the user uses more at ease, and the market competitiveness of the product is ultimately improved.

[0046] II. The multi-point detection and cleaning function is added. Through the multi-point detection, the pollution degree of oil stains in each area can be more comprehensively and truly reflected. The multiple spraying paths are adapted to the detection points, and the cleaning can be independently started according to the pollution degree of each point, so as to improve the cleaning efficiency.

[0047] III. The active cleaning spraying path training function is added, so that the product is more intelligent and personalized, and the movement trajectories of the spraying paths L5 obtained by training are different, so as to better meet the cleaning needs of each user.

[0048] IV. The composite detection device is preferably adopted, including but not limited to an image detection device, an odor detection device and a solution component detection device, which effectively improves the convenience, recognition efficiency and recognition accuracy of oil stain detection.

[0049] V. The oil stain heating function is provided, and the heated oil stains also help to improve the cleaning effect in step S4.

[0050] VI. The spray nozzle dynamic execution function is provided, so that the booster pump is started to boost the cleaning water in the water outlet pipeline, and the rotating mechanism is started to reverse the spray nozzle. The cleaning water sprayed by the spray nozzle is boosted and directed in a specified direction, which can effectively remove stubborn dirt under the double settings and improve the cleaning effect. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1A schematic flow chart of the air fryer cleaning method in the present application is shown.

[0052] Figure 2 A schematic flow chart of the oil stain self-checking method in the present application is shown.

[0053] Figure 3 A schematic flow chart of the active cleaning spray path training method in the present application is shown.

[0054] Figure 4 A schematic flow chart of the active cleaning method in the present application is shown.

[0055] Figure 5 A schematic diagram of the cleaning water path in the present application is shown.

[0056] Figure 6 A schematic diagram of the air fryer with a cleaning water tank and a sewage tank in the present application is shown.

[0057] Figure 7 A sectional view of the air fryer in the present application is shown.

[0058] Figure 8 A structural diagram of the ball head type rotating structure in the present application is shown.

[0059] In the figure: 1, outer shell; 101, inner container; 102, motor bracket; 103, air guide disc; 2, pot body; 201, baking tray; 4, fan assembly; 5, heating assembly; 6, cleaning water tank; 7, sewage tank; 8, spray nozzle; 9, human-computer operation assembly; 10, electric control board; 11, detection device; 1201, fixed base; 1202, rotating ball head; 1203, rotating control circuit board; 1204, spherical rotating shaft; 1205, first rotating motor; 1206, gear rack; 1207, second rotating motor. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0061] Embodiment one

[0062] Reference Figures 1-2 The present embodiment mainly provides a cleaning method of an air fryer, including the following steps:

[0063] S1, the air fryer enters the oil stain self-checking program in the initial start-up state or the state of not heating for a certain time, generates an oil stain detection instruction and executes the same;

[0064] S2, the oil stain in the air fryer is detected multiple times to obtain actual oil stain values Y1, Y2, Y3, …, Y N , and an average oil stain value Y Σ1 is obtained. N = (Y1, Y2, Y3, …, Y Σ1 ) / N.

[0065] S3, the average oil stain value Y max is compared with a preset critical oil stain value Y Σ2 to determine whether the air fryer enters the self-cleaning program, and a self-cleaning execution instruction is output if necessary.

[0066] S4, after receiving the self-cleaning instruction, the water outlet valve of the cleaning water tank 6 is opened, and cleaning water is sprayed into the air fryer through the spray nozzle 8.

[0067] S5, the water return valve of the sewage tank 7 is opened to receive and store the oil stain water from the air fryer.

[0068] S6, the average oil stain value Y N = (Y1, Y2, Y3, …, Y Σ2 ) / N is obtained by repeating step S2.

[0069] S7, the average oil stain value Y max is compared with the preset critical oil stain value Y Σ2 , if Y max < Y Σ2 , a cleaning success instruction is output, the number of consecutive executions of the self-cleaning program is U, and the upper limit Umax of the number of executions of the self-cleaning program is set, if Y max ≥ Y Σ2 and U < Umax, a self-cleaning instruction is output, and steps S3-S7 are repeated, if Y max ≥ Y Σ1 and U = Umax, an oil stain cleaning warning instruction is output.

[0070] The above content is a basic embodiment of the air fryer cleaning method provided by the present application, which first needs to start the oil stain self-checking program in the case of air fryer opening and power-on and not heating (preferably initial start-up state or state of not heating for a certain time), and compare the detected average oil stain value Y max with the preset critical oil stain value Y Σ1 . If Y max < Y Σ1≥Y max , represents that the pollution degree is larger, and a cleaning success instruction is output, valve doors are opened, and self-cleaning is started. After each self-cleaning is completed, a post-cleaning detection program is performed, and the detected average oil pollution value Y Σ2 is compared with the preset critical oil pollution value Y max , and a comparison mode is referred to Y Σ1 and the preset critical oil pollution value Y max . Details are not repeated. In the case of extreme pollution, even if repeated self-cleaning is performed multiple times, the oil pollution cannot be removed, so if the number of times of continuous self-cleaning programs reaches the upper limit Umax, an oil pollution non-cleaning warning instruction is output, prompting the user to perform manual cleaning, and preventing the case of accelerating the damage of components due to uninterrupted execution of the self-cleaning program.

[0071] In the cleaning method based on the application, the oil pollution self-detection function before cleaning, the self-cleaning function, the oil pollution detection function after cleaning, and the warning function of incomplete cleaning are integrated, thereby meeting the oil pollution cleaning function of the air fryer, making the user use more at ease, and ultimately improving the market competitiveness of the product.

[0072] Embodiment Two

[0073] It can be realized that when the oil pollution detection instruction is executed, multi-point oil pollution detection can be performed to make more comprehensive detection and judgment on the pollution degree of the air fryer, and output more accurate self-cleaning instructions.

[0074] To meet the above needs, the embodiment is improved on the basis of Embodiment One, specifically: in step S2, the detection points in the air fryer include any one or more of the fan position detection point, the heating pipe position detection point, the basket position detection point, and the pot body 2 position detection point. Through multi-point detection, the oil pollution degree of each region can be more comprehensively and truly reflected.

[0075] Further, to better realize the cleaning function: in step S4, the spray nozzle 8 is provided with multiple spray paths with independent movement trajectories, forming a spray path L1 corresponding to the fan position detection point, a spray path L2 corresponding to the heating pipe position detection point, a spray path L3 corresponding to the basket position detection point, and a spray path L4 corresponding to the pot body 2 position detection point. The multiple spray paths are matched with the detection points, and cleaning can be independently started according to the pollution degree of each point.

[0076] Embodiment Three

[0077] In combination with the scheme of Embodiment Two, the embodiment further includes a training method of the active cleaning spray path L5, specifically: referring to Figures 3-4, the spraying path parameters at the time of M times of cleaning are sampled, and the active cleaning spraying path L5 is analyzed based on the spraying path parameters, and the spraying path L5 is responsive to the active cleaning instruction issued by the user. More specifically, the spraying path parameters include M1 times of spraying path L1, M2 times of spraying path L2, M3 times of spraying path L3, and M4 times of spraying path L4, where M = M1 + M2 + M3 + M4; the cleaning time of the active cleaning spraying path L5 is T, and the motion trajectory of the trained spraying path L5 includes ((M1 / M)*T) of the spraying path L1, ((M2 / M)*T) of the spraying path L2, ((M3 / M)*T) of the spraying path L3, and ((M4 / M)*T) of the spraying path L4.

[0078] The data M1, M2, M3, and M4 are obtained by sampling a limited number (M times) of parameters, and the motion trajectory of the trained spraying path L5 is ((M1 / M)*T) of the spraying path L1, ((M2 / M)*T) of the spraying path L2, ((M3 / M)*T) of the spraying path L3, and ((M4 / M)*T) of the spraying path L4.

[0079] It should be noted that when the total number of cleanings does not reach M times, the active cleaning spraying path is not generated, and the active cleaning function will not be enabled when the user issues an active cleaning instruction, and a corresponding warning instruction is output. In other embodiments, the spraying path parameters of the active cleaning can also be pre-set in the initial state, such as M1 = M2 = M3 = M4 = M / 4; when the number of cleanings of the user reaches M times, the use habits of the user are adapted and modified to meet the cleaning needs of the user.

[0080] Since the cooking habits of each user when using the air fryer are different, the data M1, M2, M3, and M4 obtained by sampling a limited number (M times) of parameters are different, and the motion trajectory of the trained spraying path L5 is different, thereby better meeting the cleaning needs of each user.

[0081] Embodiment Four

[0082] In any of the above technical solutions, preferably, with reference to Figure 2 The detection device 11 that executes the oil stain detection instruction includes any one or a combination thereof: an image detection device, an odor detection device, and a solution component detection device.

[0083] If a single detection device 11 is used, the average oil stain value can be obtained according to the actual detection data; if multiple devices are combined, the image detection device obtains the weighted coefficient A1 of the oil stain value (Y 图像 ), the odor detection device obtains the weighted coefficient A2 of the oil stain value (Y 气味weighting coefficient A2 of the solution component detection device, the oil stain value (Y 溶液 weighting coefficient A3. The weighting is due to the image detection, odor detection, and solution component detection being different in accuracy of the pollution degree detection, so the weights taken in the adjustment calculation are different. The more excellent detection method (such as the solution component detection) is higher in accuracy, and the weight is greater; and the comprehensive data obtained after the weighting (the calculation formula is preferably Y 综合 = A1*Y 图像 + A2*Y 气味 + A3*Y 溶液 , the average value of a plurality of Y 综合 is taken as Y Σ1 ), so that the accuracy of the pollution degree detection is further improved.

[0084] The image detection device preferably outputs the oil stain value (Y 图像 obtained by the image detection device by comparing the pixel points in the image with a preset pollution pixel point threshold value and by the similarity ratio.

[0085] The odor detection device preferably outputs the oil stain value (Y 气味 obtained by the odor detection device by comparing the oil stain component concentration in the gas with a preset oil stain component concentration threshold value and by the similarity ratio.

[0086] The solution component detection device preferably outputs the oil stain value (Y 溶液 obtained by the solution component detection device by detecting the components in the solution, first spraying a certain amount of cleaning water into the air fryer through the spray nozzle 8, obtaining the mixed solution with the oil stain, and detecting and analyzing the components in the mixed solution, comparing the obtained data with a preset oil stain solution data threshold value, and outputting the solution component detection device Y

[0087] The above three are only the preferred detection devices 11 of the embodiment, and are not specially limited. In the embodiment, the detection convenience, recognition efficiency, recognition accuracy, and use cost of the image detection device, the odor detection device, and the solution component detection device are different, and can be selected according to actual needs.

[0088] Embodiment Five

[0089] It is conceivable that the oil stain is more likely to gather and form hard blocks at low temperatures, which on one hand increases the detection difficulty (for example, the odor is not emitted, the oil stain is not dissolved in the detection solution, and the like), so that the actual oil stain value data obtained is distorted; and on the other hand, the cleaning difficulty is increased.

[0090] Based on the cleaning problem caused by the oil stain block, the solution provided by the embodiment is as follows:

[0091] I. In step S2, the softened oil dirt execution instruction is output, so that the heating device is started to heat the oil dirt, so that the detection result of the heated oil dirt is more true and accurate. At the same time, the heated oil dirt is also helpful to improve the cleaning effect in step S4.

[0092] II. In step S6, the dynamic execution instruction of the spray nozzle 8 is output, so that the booster pump is started to pressurize the cleaning water in the water outlet pipeline, and the rotating mechanism is started to reverse the spray nozzle 8. The cleaning water sprayed by the spray nozzle 8 is pressurized and directed, which can effectively remove stubborn dirt and improve the cleaning effect under the double setting.

[0093] Example six

[0094] An air fryer satisfying the above cleaning method, referring to Figures 5-7 , comprising: a shell 1 having a pot body 2; a frying basket (which can be replaced by a baking tray 201) detachably connected with the pot body 2 for containing food; a fan assembly 4 and a heating assembly 5 both assembled in the shell 1 for heating air and promoting circulation of hot air; a cleaning water tank 6 in communication with the pot body 2 through a water outlet pipeline, and a water outlet valve is arranged in the water outlet pipeline; a sewage tank 7 in communication with the pot body 2 through a water return pipeline (preferably a water return pump is connected in the water return pipeline), and a water return valve is arranged in the water return pipeline; a plurality of spray nozzles 8 arranged on the pot body 2 and in communication with the water outlet pipeline; a man-machine operation assembly 9 arranged on the shell 1; an electric control panel 10 in communication connection with the man-machine operation assembly 9 for controlling each electrical component in the air fryer, and integrated with a memory and a processor.

[0095] Preferably, the water outlet pipeline is a hose, which is convenient to install and also conducive to the rotation of the spray nozzle 8. At the same time, the spray nozzle 8 has multiple and is respectively directed towards the fan assembly 4 and the heating assembly 5, the pot body 2, and the frying basket in the initial state. Specifically, an inner container 101 is arranged in the shell 1, the pot body 2 is arranged in the inner container 101, a motor frame 102 and an air guide disc 103 are arranged in the shell 1 above the pot body 2, and the air guide disc 103 covers the fan assembly 4 and the heating assembly 5; two spray nozzles 8 are arranged on the motor frame 102 and extend into the air guide disc 103, or are holed at the corresponding positions of the air guide disc 103, so that the spray nozzles 8 clean the fan assembly 4 and the heating assembly 5; the remaining spray nozzles 8 are arranged on the inner container 101 and holed at the corresponding positions of the pot body 2, so as to facilitate the spray nozzles 8 to clean the inside of the pot body 2 and the frying basket in the pot body 2.

[0096] The memory stores a computer program, and the computer program is executed by the processor to realize the steps in the foregoing cleaning method, so as to have all the technical effects of the cleaning method, which will not be repeated here.

[0097] Further, the processor (which can include a central processing unit, or a specific integrated circuit, or can be configured as one or more integrated circuits required by the invention) in this embodiment is applied to the cleaning method of the air fryer as described above, which includes: a first response module for outputting a self-cleaning execution instruction in response to a self-cleaning program of the air fryer; a second response module for outputting an active cleaning execution instruction in response to an active cleaning instruction program of the air fryer; an oil stain detection module for outputting an oil stain detection execution instruction in response to an oil stain self-checking program of the air fryer; and a human-computer interaction module for responding to the operation input instruction of the user and being in communication connection with the second response module.

[0098] In the preferred embodiment of the air fryer scheme of the present application, in order to realize the softening of oil stains, a heating device is further included, which is arranged in any one or more of the cleaning water tank 6, the water outlet pipeline, the spray nozzle 8, and the pot body 2, and the heating device is in communication connection with the processor and receives the softening of oil stains execution instruction from the processor. The heating device preferably adopts an electric heating tube, or shares the existing heating assembly 5, and the specific form is not specially limited.

[0099] In the preferred embodiment of the air fryer scheme of the present application, in order to realize the reversing function of the spray nozzle 8, the spray nozzle 8 is connected to the pot body 2 through a rotating mechanism, thereby forming a rotating cooperation with the pot body 2. The structure scheme of the rotating mechanism is various, and is not specially limited here. On the other hand, a booster pump is further connected in the water outlet pipeline to realize the water outlet pressure boosting function. In the above, the rotating mechanism and the booster pump are both in communication connection with the electric control board 10 and receive the corresponding execution instruction from the processor.

[0100] A ball head type rotating structure is preferably adopted, which has a multi-angle rotating function. Examples of the ball head type rotating structure are as follows: Figure 8 The ball head type rotating structure includes a fixed base 1201 fixed in the shell 1, a rotating ball head 1202, and a rotating control circuit board 1203 in communication connection with the electric control board 10 in the air fryer; the spray nozzle 8 is fixed on the rotating ball head 1202, and a spherical rotating shaft 1204 is arranged between the fixed base 1201 and the rotating ball head 1202; a first rotating motor 1205 is arranged in the fixed base 1201, which acts on the rotating ball head 1202 (a gear and rack 1206 (the rack is movable) transmission cooperation structure can be adopted) to enable the rotating ball head 1202 to rotate relative to the fixed base 1201 with a first rotating shaft as the center; a second rotating motor 1207 is arranged in the rotating ball head 1202, which acts on the rotating ball head 1202 (a gear and rack 1206 (the rack is fixed) transmission cooperation structure can be adopted) to enable the rotating ball head 1202 to rotate relative to the fixed base 1201 with a second rotating shaft as the center.

[0101] The above is only the preferred embodiment of the present application, and does not limit the present application, and any simple modification, change and equivalent structure change of the above embodiment according to the technical essence of the present application are still within the protection scope of the technical scheme of the present application.

Claims

1. A cleaning method for an air fryer, characterized in that, Includes the following steps: S1. When the air fryer is initially turned on or after a certain period of time without heating, it enters the oil stain self-check program, generates an oil stain detection command and executes it. S2. Repeatedly test the oil stains inside the air fryer to obtain the actual oil stain values. Y1 , Y2 , Y3 ... YN Take the average oil stain value Y Σ1 =( Y1 , Y2 , Y3 ... YN ) / N, where N is any natural number greater than or equal to 1; Among them, Y 综合 = A1*Y 图像 +A2*Y 气味 +A3*Y 溶液 Take multiple Y 综合 The average value of Y Σ1 The image detection device acquires the oil stain value Y. 图像 The weighting coefficient A1 and the oil stain value Y obtained by the odor detection device. 气味 The weighting coefficient A2 and the oil stain value Y obtained by the solution composition detection device. 溶液 The weighting coefficient A3; The image detection device identifies pixels in an image and compares them with a preset threshold of contaminated pixels. It then outputs the oil stain value Y based on the similarity ratio. 图像 ; The odor detection device identifies the concentration of oily components in a gas and compares it with a preset oily component concentration threshold. It then outputs the oily component value Y based on the similarity ratio. 气味 ; The solution composition detection device determines the result by detecting the components in the solution. First, a certain amount of cleaning water is sprayed into the air fryer through the spray nozzle (8), resulting in a mixed solution containing oil. The mixed solution is returned to the solution composition detection device, where the components are detected and analyzed. The obtained data is compared with a preset oil solution data threshold, and the solution composition detection device outputs the similarity ratio Y. 溶液 ; S3, Average oil stain value Y Σ1 Compared with the preset critical oil stain value Ymax By comparison, determine whether the air fryer has entered the self-cleaning program; if so, output a self-cleaning execution command. S4. After receiving the self-cleaning instruction, the outlet valve of the cleaning water tank (6) is opened, and cleaning water is sprayed into the air fryer through the spray nozzle (8). S5. The return valve of the wastewater tank (7) is opened to receive and store the oily wastewater from the air fryer; S6. Repeat step S2 to obtain the average oil stain value Y. Σ2 =( Y1 , Y2 , Y3 ... YN ) / N; S7, Average oil stain value Y Σ2 Compared with the preset critical oil stain value Ymax In comparison, if Y Σ2 < Ymax If Y is positive, a cleaning success command will be output; the number of consecutive executions of the self-cleaning program is U, and there is a maximum limit Umax for the number of executions of the self-cleaning program. Σ2 ≥ Ymax If U < Umax, then output a self-cleaning instruction and repeat steps S3-S7; if Y Σ2 ≥ Ymax If U = Umax, then a warning command indicating that the oil stains have not been cleaned will be output. In step S2, the detection points inside the air fryer include any one or more of the following: fan position detection point, heating tube position detection point, frying basket position detection point, and pot body (2) position detection point; In step S4, the spray nozzle (8) is pre-set with multiple spray paths with independent movement trajectories, forming a spray path L1 corresponding to the fan position detection point, a spray path L2 corresponding to the heating tube position detection point, a spray path L3 corresponding to the frying basket position detection point, and a spray path L4 corresponding to the pot body (2) position detection point. It also includes training methods for the active cleaning spray path L5: The spray path parameters were sampled during the last M cleaning cycles. The active cleaning spray path L5 was obtained by analyzing the spray path parameters. The spray path L5 responds to the active cleaning command issued by the user. When the total number of cleaning cycles has not reached M, the active cleaning spray path will not be generated. After the user issues an active cleaning command, the active cleaning function will not be activated and a corresponding warning command will be output.

2. The cleaning method for an air fryer according to claim 1, characterized in that: The spray path parameters include: M1 spray path L1, M2 spray path L2, M3 spray path L3, and M4 spray path L4, where M = M1 + M2 + M3 + M4, and M, M1, M2, M3, and M4 are any natural numbers greater than or equal to 1. The cleaning duration of the active cleaning spray path L5 is T. The motion trajectory of the trained spray path L5 includes: spray path L1 of (M1 / M)*T, spray path L2 of (M2 / M)*T, spray path L3 of (M3 / M)*T, and spray path L4 of (M4 / M)*T.

3. The cleaning method for an air fryer according to claim 1, characterized in that: In step S2, a softening oil stain execution command is output, thereby activating the heating device to heat the oil stain; In step S6, the output spray nozzle (8) dynamically executes the command, thereby starting the booster pump to pressurize the clean water in the outlet pipeline, and starting the rotating mechanism to change the direction of the spray nozzle (8).

4. A processor for an air fryer, used in the cleaning method for an air fryer as described in any one of claims 1-3, characterized in that, include: The first response module, which responds to the air fryer's self-cleaning program, is used to output self-cleaning execution instructions; The second response module, which responds to the active cleaning instruction program of the air fryer, is used to output active cleaning execution instructions; The oil stain detection module responds to the air fryer's oil stain self-check program and is used to output oil stain detection execution commands; The human-computer interaction module responds to user input commands and communicates with the second response module.

5. An air fryer, characterized in that, include: The outer shell (1) has a pot body (2); The frying basket is detachably connected to the pot body (2); The fan assembly (4) and the heating assembly (5) are both assembled in the outer casing (1); The cleaning water tank (6) is connected to the pot body (2) through the water outlet pipe, and the water outlet pipe is equipped with a water outlet valve; The sewage tank (7) is connected to the boiler body (2) through the return water pipe, and the outlet water pipe is equipped with a return water valve; Several spray nozzles (8) are installed on the pot body (2) and connected to the water outlet pipe; Human-machine interface component (9) is mounted on housing (1); The control board (10), which is communicatively connected to the human-machine interface (9), is used to control the various electrical components inside the air fryer and integrates a memory and a processor as described in claim 4.

6. The air fryer according to claim 5, characterized in that: It also includes a heating device, which is installed in one or more of the cleaning water tank (6), the water outlet pipe, the spray nozzle (8), and the pot body (2).

7. The air fryer according to claim 6, characterized in that: The spray nozzle (8) is connected to the pot body (2) through a rotating mechanism, thereby forming a rotating fit with the pot body (2); A booster pump is also connected to the water outlet pipeline; The rotating mechanism and the booster pump are both connected to the electronic control board (10) via communication.

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