Method and device for processing food materials of intelligent kitchen appliance

Abstract

This invention discloses a method and apparatus for controlling food processing in intelligent kitchen appliances. The method includes: acquiring target information for determining the food parameters corresponding to the food to be processed, and determining the food parameters corresponding to the food to be processed based on the target information; determining the processing parameters of the intelligent kitchen appliance based on the food parameters; generating a working control command for the intelligent kitchen appliance based on the processing parameters, and controlling the food processing operation performed by the intelligent kitchen appliance according to the working control command. It is evident that implementing this invention enables intelligent control of the kitchen appliance to process food through processing parameters, eliminating the need for users to constantly monitor the processing progress. This not only simplifies the food processing steps, improving convenience and efficiency, but also enhances the accuracy and effectiveness of food processing, thereby improving the user experience and increasing user loyalty.

Description

Technical Field

[0001] This invention relates to the field of intelligent device technology, and in particular to a method and apparatus for controlling food processing in intelligent kitchen appliances. Background Technology

[0002] As people's living standards improve, the types of kitchen appliances they use are becoming more and more diverse (such as food processors). The emergence of kitchen appliances has simplified the tedious food processing steps. For example, when users need to make fillings, they can directly use a food processor to quickly chop the ingredients to make the fillings, without having to use knives, freeing up users' hands and saving time and energy spent on food processing.

[0003] Currently, kitchen appliances used for food processing are generally equipped with processing utensils and a start button. Users can control the processing utensils to process food by pressing the start button. However, practical experience has shown that during the food processing process, users need to visually observe the degree of processing (such as the degree of chopping). However, due to factors such as user experience and attention span, users often misjudge the degree of processing, resulting in unsatisfactory results. Therefore, improving the food processing efficiency of kitchen appliances to enhance the user experience is crucial. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for controlling the food processing of smart kitchen appliances, which not only simplifies the food processing steps and improves the convenience and efficiency of food processing, but also improves the accuracy of food processing by kitchen appliances and improves the processing effect of kitchen appliances on food.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a method for controlling the food processing of intelligent kitchen appliances, the method comprising:

[0006] Collect at least one target information for determining the ingredient parameters corresponding to the ingredient to be processed, and determine the ingredient parameters corresponding to the ingredient to be processed based on all the target information;

[0007] Based on the ingredient parameters corresponding to the ingredients to be processed, the processing parameters of the smart kitchen appliance are determined; the processing parameters of the smart kitchen appliance include at least one of the following: the running time of the smart kitchen appliance, the running speed of the processing tool of the smart kitchen appliance, the running direction of the processing tool of the smart kitchen appliance, and the running temperature of the processing tool of the smart kitchen appliance.

[0008] Based on the processing parameters, the system generates operating control instructions for the smart kitchen appliance and controls the food processing operations performed by the smart kitchen appliance according to the operating control instructions.

[0009] As an optional implementation, in the first aspect of the present invention, the food parameters corresponding to the food to be processed include one or more of the following: weight parameter of the food to be processed, type parameter of the food to be processed, moisture parameter of the food to be processed, particle size parameter of the food to be processed, temperature parameter of the food to be processed, hardness parameter of the food to be processed, cookedness parameter of the food to be processed, flow parameter of the food to be processed, and crispness parameter of the food to be processed.

[0010] As an optional implementation, in the first aspect of the present invention, all the target information used to determine the food parameters corresponding to the food to be processed includes the target electrical parameters of the smart kitchen appliance collected when the processing tool of the smart kitchen appliance is in operation and / or image data collected for the food to be processed.

[0011] As an optional implementation, in the first aspect of the present invention, the target electrical parameters of the smart kitchen appliance collected by the processing appliance when it is in operation include the target electrical parameters of the smart kitchen appliance collected when the processing appliance performs food processing operations within a target time period; and / or,

[0012] The target electrical parameters of the smart kitchen appliance collected when the processing tool performs food processing operations within the target time period include current parameters; and / or,

[0013] The smart kitchen appliance includes a smart chopper; and / or,

[0014] The processing utensils of the smart kitchen appliance include the chopping utensils of the smart chopper.

[0015] As an optional implementation, in the first aspect of the present invention, the start time of the target time period is the start time of the processing utensils of the smart kitchen appliance, and the duration of the target time period is a preset duration.

[0016] As an optional implementation, in the first aspect of the present invention, before determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed, the method further includes:

[0017] Determine the motor type of the control motor corresponding to the processing tool of the smart kitchen appliance;

[0018] The step of determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed includes:

[0019] The processing parameters of the smart kitchen appliance are determined based on the ingredient parameters corresponding to the ingredients to be processed and the motor type; or,

[0020] Determine the expected processing parameters corresponding to the food to be processed; the expected processing parameters include at least one of the expected weight parameters, moisture parameters, particle size parameters, temperature parameters, hardness parameters, cookedness parameters, flow parameters, and crispness parameters of the food to be processed after processing;

[0021] The processing parameters of the smart kitchen appliance are determined based on the ingredient parameters and the expected processing parameters of the ingredient to be processed.

[0022] As an optional implementation, in the first aspect of the present invention, determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed and the motor type includes:

[0023] Based on the motor type, determine the corresponding information table of processing parameters that match the motor type;

[0024] From the processing parameter correspondence information table matching the motor type, determine the processing parameters that match the food parameters corresponding to the food to be processed, and use these as the processing parameters for the smart kitchen appliance; or,

[0025] Based on the motor type, determine the processing parameters matching the motor type;

[0026] The ingredient parameters corresponding to the ingredients to be processed are input into the processing parameter determination model to obtain the output result of the processing parameter determination model, and the processing parameters of the smart kitchen appliance are determined based on the output result of the processing parameter determination model.

[0027] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0028] When the smart kitchen appliance is powered on, the smart kitchen appliance is activated so that the processing utensils of the smart kitchen appliance are in a no-load operation state;

[0029] When the processing device of the smart kitchen appliance is in the no-load operation state, the no-load operation electrical parameters of the smart kitchen appliance are collected, and the motor type of the control motor corresponding to the processing device of the smart kitchen appliance is determined based on the no-load operation electrical parameters of the smart kitchen appliance.

[0030] A second aspect of this invention discloses a food processing control device for a smart kitchen appliance, the device comprising:

[0031] The acquisition module is used to acquire at least one target information for determining the food parameters corresponding to the food to be processed;

[0032] The first determining module is used to determine the food parameters corresponding to the food to be processed based on all the target information.

[0033] The second determining module is used to determine the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed; the processing parameters of the smart kitchen appliance include at least one of the following: the running time of the smart kitchen appliance, the running speed of the processing tool of the smart kitchen appliance, the running direction of the processing tool of the smart kitchen appliance, and the running temperature of the processing tool of the smart kitchen appliance.

[0034] The instruction generation module is used to generate working control instructions for the smart kitchen appliance based on the processing parameters.

[0035] The control module is used to control the food processing operations performed by the smart kitchen appliance according to the work control instructions.

[0036] As an optional implementation, in the second aspect of the present invention, the food parameters corresponding to the food to be processed include one or more of the following: weight parameter of the food to be processed, type parameter of the food to be processed, moisture parameter of the food to be processed, particle size parameter of the food to be processed, temperature parameter of the food to be processed, hardness parameter of the food to be processed, cookedness parameter of the food to be processed, flow parameter of the food to be processed, and crispness parameter of the food to be processed.

[0037] As an optional implementation, in a second aspect of the present invention, all the target information used to determine the food parameters corresponding to the food to be processed includes the target electrical parameters of the smart kitchen appliance collected when the processing tool of the smart kitchen appliance is in operation and / or image data collected for the food to be processed.

[0038] As an optional implementation, in a second aspect of the invention, the target electrical parameters of the smart kitchen appliance collected by the processing appliance when it is in operation include the target electrical parameters of the smart kitchen appliance collected when the processing appliance performs food processing operations within a target time period; and / or,

[0039] The target electrical parameters of the smart kitchen appliance collected when the processing tool performs food processing operations within the target time period include current parameters; and / or,

[0040] The smart kitchen appliance includes a smart chopper; and / or,

[0041] The processing utensils of the smart kitchen appliance include the chopping utensils of the smart chopper.

[0042] As an optional implementation, in a second aspect of the present invention, the start time of the target time period is the start time of the processing utensils of the smart kitchen appliance, and the duration of the target time period is a preset duration.

[0043] As an optional implementation, in a second aspect of the invention, the first determining module is further configured to:

[0044] Before the second determining module determines the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed, the motor type of the control motor corresponding to the processing tool of the smart kitchen appliance is determined;

[0045] Specifically, the second determining module determines the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed in the following way:

[0046] The processing parameters of the smart kitchen appliance are determined based on the ingredient parameters corresponding to the ingredients to be processed and the motor type; or,

[0047] Determine the expected processing parameters corresponding to the food to be processed; the expected processing parameters include at least one of the expected weight parameters, moisture parameters, particle size parameters, temperature parameters, hardness parameters, cookedness parameters, flow parameters, and crispness parameters of the food to be processed after processing;

[0048] The processing parameters of the smart kitchen appliance are determined based on the ingredient parameters and the expected processing parameters of the ingredient to be processed.

[0049] As an optional implementation, in a second aspect of the present invention, the second determining module determines the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed and the motor type in the following specific manner:

[0050] Based on the motor type, determine the corresponding information table of processing parameters that match the motor type;

[0051] From the processing parameter correspondence information table matching the motor type, determine the processing parameters that match the food parameters corresponding to the food to be processed, and use these as the processing parameters for the smart kitchen appliance; or,

[0052] Based on the motor type, determine the processing parameters matching the motor type;

[0053] The ingredient parameters corresponding to the ingredients to be processed are input into the processing parameter determination model to obtain the output result of the processing parameter determination model, and the processing parameters of the smart kitchen appliance are determined based on the output result of the processing parameter determination model.

[0054] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0055] The startup module is used to start the smart kitchen appliance when it is powered on, so that the processing utensils of the smart kitchen appliance are in a no-load operation state.

[0056] The acquisition module is also used to acquire the no-load operation electrical parameters of the smart kitchen appliance when the processing utensils of the smart kitchen appliance are in the no-load operation state.

[0057] The first determining module is further configured to determine the motor type of the control motor corresponding to the processing tool of the smart kitchen appliance based on the no-load operation electrical parameters of the smart kitchen appliance.

[0058] A third aspect of this invention discloses another intelligent kitchen appliance food processing control device, the device comprising:

[0059] Memory containing executable program code;

[0060] A processor coupled to the memory;

[0061] The processor calls the executable program code stored in the memory to execute the food processing control method for intelligent kitchen appliances disclosed in the first aspect of the present invention.

[0062] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the food processing control method for intelligent kitchen appliances disclosed in the first aspect of the present invention.

[0063] The fifth aspect of this invention discloses a smart kitchen appliance, characterized in that the smart kitchen appliance includes a housing, a control host, a control motor, and processing utensils, wherein:

[0064] The control host is used to execute the food processing control method for intelligent kitchen appliances disclosed in the first aspect of the present invention.

[0065] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0066] In this embodiment of the invention, target information for determining the food parameters corresponding to the food to be processed is collected, and the food parameters corresponding to the food to be processed are determined based on the target information; based on the food parameters, the processing parameters of the smart kitchen appliance are determined; based on the processing parameters, the working control instructions of the smart kitchen appliance are generated, and the food processing operations performed by the smart kitchen appliance are controlled according to the working control instructions. It is evident that implementing this invention enables intelligent control of the kitchen appliance to process food through the generated processing parameters, without requiring the user to constantly monitor the degree of food processing. This not only simplifies the food processing steps, improving the convenience and efficiency of food processing, but also enhances the accuracy and effectiveness of food processing by the kitchen appliance, allowing it to greatly meet the user's food processing needs, thereby improving the user experience and increasing user stickiness. Attached Figure Description

[0067] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0068] Figure 1 This is a structural schematic diagram of a smart kitchen appliance disclosed in an embodiment of the present invention;

[0069] Figure 2 This is a flowchart illustrating a method for controlling the food processing of an intelligent kitchen appliance, as disclosed in an embodiment of the present invention.

[0070] Figure 3 This is a flowchart illustrating another method for controlling the food processing of a smart kitchen appliance, as disclosed in an embodiment of the present invention.

[0071] Figure 4 This is a schematic diagram of the structure of a food processing control device for an intelligent kitchen appliance disclosed in an embodiment of the present invention;

[0072] Figure 5 This is a schematic diagram of the structure of another intelligent kitchen appliance food processing control device disclosed in an embodiment of the present invention;

[0073] Figure 6 This is a schematic diagram of the structure of another intelligent kitchen appliance food processing control device disclosed in an embodiment of the present invention. Detailed Implementation

[0074] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0075] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0076] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0077] This invention discloses a method and device for controlling food processing in intelligent kitchen appliances. This method not only simplifies the food processing steps, improving the convenience and efficiency of food processing, but also enhances the accuracy and effectiveness of food processing by the kitchen appliances. Detailed descriptions follow.

[0078] Example 1

[0079] Please see Figure 2 , Figure 2 This is a flowchart illustrating a food processing control method for an intelligent kitchen appliance disclosed in an embodiment of the present invention. Figure 2The described method for controlling the food processing of intelligent kitchen appliances can be applied to control the food processing of different types of intelligent kitchen appliances. Optionally, the intelligent kitchen appliance can be any one of the following: intelligent chopper, intelligent oven, intelligent air fryer, intelligent cooker, intelligent dough mixer, intelligent stir-fry machine, intelligent juicer, intelligent food processor, etc. This embodiment of the invention does not limit the type of intelligent kitchen appliance or the type of food processing performed by it. Further, optionally, the method can be implemented by a food processing control device, which can be integrated into the intelligent kitchen appliance or exist independently of it. Furthermore, when the food processing control device exists independently of the intelligent kitchen appliance, it can be specifically integrated into a control device or control server that controls the food processing flow. The control server can be a local server or a cloud server, etc., and this embodiment of the invention does not limit this. Figure 2 As shown, the food processing control method of this smart kitchen appliance may include the following operations:

[0080] 101. Collect at least one target information for determining the food parameters corresponding to the food to be processed, and determine the food parameters corresponding to the food to be processed based on all target information.

[0081] In this embodiment of the invention, after collecting all target information, the information can be analyzed to determine the corresponding food parameters based on the analysis results. For example, after placing the meat piece into the chopping cup of the intelligent chopper, the chopper is started to begin chopping the meat. At this time, relevant electrical parameters of the intelligent chopper can be collected (e.g., a working current of 1000mA). Since the weight of the meat piece affects the electrical parameter, the weight of the meat piece can be determined to be 100g based on the relationship between the weight and electrical parameters. Similarly, after detecting the arrival of the user-preset start time, the placement of the meat piece in the intelligent roaster is immediately checked to determine if it conforms to the preset placement. If so, the intelligent roaster is immediately started, and infrared image data of the meat piece is collected. During the gradual heating process, the infrared image data can be analyzed using a relevant temperature scale to determine the heating rate of the meat piece.

[0082] Optionally, the food parameters corresponding to the food to be processed may include one or more of the following: weight, type, moisture, particle size, temperature, hardness, doneness, flowability, and crispness. Specifically, the food parameters can be understood as the current food parameters, i.e., the parameters before the smart kitchen appliance performs the food processing operation, such as a current weight of 200g, a current temperature of 100℃, and a current doneness of 5 / 10 (medium-rare).

[0083] Optionally, all target information used to determine the food parameters corresponding to the food to be processed includes the target electrical parameters of the smart kitchen appliance collected when the processing appliance is in operation and / or image data collected for the food to be processed. Specifically, the target electrical parameters of the smart kitchen appliance collected when the processing appliance is in operation can be understood as the target electrical parameters of the smart kitchen appliance collected when the processing appliance is in a loaded operating state, such as the working power, working current, working resistance, working voltage, etc. of the smart chopper during the process of chopping food; while the image data collected for the food to be processed can be understood as image data that can analyze the density, volume, thickness, temperature, type, weight, moisture, particle size, softness and hardness, cookedness, fluidity, crispness, etc. of the food to be processed. For example, by using infrared image data and / or full-color image data, combined with relevant image scales, the volume, thickness, type, etc. of the food can be analyzed.

[0084] Specifically, the target electrical parameters collected by the processing appliances of the smart kitchen appliances when they are in operation include the target electrical parameters collected when the processing appliances of the smart kitchen appliances perform food processing operations within a target time period. The start time of the target time period can be the start time of the processing appliances, and the duration of the target time period can be a preset duration. For example, the target electrical parameters collected by the chopping appliance of a smart chopper when it performs food chopping operations within 3 seconds of starting, or the target electrical parameters collected by the baking appliance of a smart oven when it performs food baking operations within 1 minute of starting, etc. The target electrical parameters collected by the processing appliances of the smart kitchen appliances within the target time period... The target electrical parameters of smart kitchen appliances collected during food processing operations within a segment can include current parameters, as well as other parameters such as power, resistance, and voltage. For example, when a smart chopper performs food chopping operations within 3 seconds, the collected data shows that the smart chopper's operating current is 1000mA and its operating power is 200W. Smart kitchen appliances can include smart choppers (such as meat grinders and vegetable cutters), as well as smart ovens, air fryers, smart cookers, and other smart kitchen appliances. The processing utensils of smart kitchen appliances can include the chopping utensils of smart choppers, as well as the baking utensils of smart ovens, the heating utensils of air fryers, the heating utensils of smart cookers, and so on.

[0085] Alternatively, the collection of all target information for determining the parameters of the food to be processed can begin when the user puts the food into the food container of the smart kitchen appliance and starts the appliance, or it can begin after determining that the relevant parameters of the food to be processed meet the processing requirements (such as the food not overflowing from the container port of the smart kitchen appliance, the food being of moderate softness or firmness, the food being placed in an accurate position, etc.) and after sensing that the user has reached or is about to reach the start time preset by the user. This embodiment of the invention does not limit the scope of the invention.

[0086] 102. Determine the processing parameters of the smart kitchen appliances based on the ingredient parameters corresponding to the ingredients to be processed.

[0087] In this embodiment of the invention, optionally, the processing parameters of the intelligent kitchen appliance include at least one of the following: the running time of the intelligent kitchen appliance, the operating speed of the processing tool of the intelligent kitchen appliance, the operating direction of the processing tool of the intelligent kitchen appliance, and the operating temperature of the processing tool of the intelligent kitchen appliance. For example, the running time of the intelligent chopper is 40 seconds, the operating speed of the chopping tool of the intelligent chopper is 100 revolutions per second and the operating direction is parallel to the table and rotating to the right, and the operating temperature of the intelligent oven is 200°C, etc. For example, if the heating rate of the meat to be processed is determined to be 2°C per second within 1 minute of the intelligent oven starting, then the operating temperature of the baking tool of the intelligent oven can be determined to be 180°C and the running time to be 10 minutes.

[0088] 103. Generate working control instructions for the smart kitchen appliances based on the processing parameters, and control the food processing operations performed by the smart kitchen appliances according to the working control instructions.

[0089] In this embodiment of the invention, during the initial time period when the smart kitchen appliance processes the food to be processed, it is necessary to generate a working control command for the smart kitchen appliance in a timely manner based on the determined processing parameters. This control command is then used to control the current food processing operation of the smart kitchen appliance, so that the processing operation of the food to be processed by the smart kitchen appliance can proceed smoothly.

[0090] As can be seen, implementing the embodiments of the present invention can intelligently control the processing of food ingredients by generating processing parameters, without requiring users to constantly monitor the processing level of the food ingredients. This not only simplifies the processing steps and improves the convenience and efficiency of food processing, but also enhances the accuracy and effectiveness of food processing by the kitchen appliances. This allows the kitchen appliances to greatly meet users' food processing needs, thereby improving the user experience and increasing user loyalty.

[0091] In an optional embodiment, step 102 above, determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredients to be processed, includes:

[0092] Determine the expected processing parameters for the ingredients to be processed;

[0093] Based on the ingredient parameters and expected processing parameters of the ingredients to be processed, the processing parameters of the smart kitchen appliances are determined.

[0094] In this optional embodiment, the expected processing parameters may include at least one of the following: expected weight, moisture content, particle size, temperature, hardness, doneness, flowability, and crispness of the processed food. Further optionally, these expected processing parameters can be derived by analyzing relevant parameters set by the user, such as user-inputted cooking recipes or eating habits, or by analyzing relevant parameters of the food to be processed, such as the type and content of its nutrients. For example, for the same 100g of meat, the processing time of the intelligent chopper might be 4.5 seconds for a user who prefers small pieces, and 4 seconds for a user who prefers large pieces.

[0095] As can be seen, this optional embodiment can combine the expected processing parameters and the food parameters corresponding to the determined food to be processed to determine the processing parameters of the smart kitchen appliance, which is conducive to improving the reliability and accuracy of the determined processing parameters, thereby improving the processing accuracy of the smart kitchen appliance on the food to be processed, and thus improving the processing effect of the smart kitchen appliance on the food to be processed, so that the processed food can meet the user's cooking or eating needs.

[0096] In another optional embodiment, before determining the processing parameters of the smart kitchen appliance based on the ingredient parameters and the expected processing parameters of the ingredient to be processed in the above steps, the method may further include:

[0097] Obtain the current nutritional parameters of the food to be processed, and based on the current nutritional parameters of the food to be processed and the expected processing parameters corresponding to the food to be processed, predict the nutritional changes between the food to be processed and the processed food to be processed; determine whether the nutritional changes are the preset nutritional changes.

[0098] When the judgment result is yes, the operation of determining the processing parameters of the smart kitchen appliance is triggered based on the ingredient parameters and the expected processing parameters of the ingredient to be processed.

[0099] When the judgment result is negative, the processing expected parameters corresponding to the ingredients to be processed are corrected according to the changes in nutrition. The corrected processing expected parameters are obtained, and the operation of determining the processing parameters of the smart kitchen appliance is triggered based on the ingredient parameters and processing expected parameters corresponding to the ingredients to be processed.

[0100] In this optional embodiment, specifically, when it is determined that the nutritional change is not a preset nutritional change, the processing expected parameters in the subsequent triggered operation are the corrected expected parameters. Optionally, the current nutritional parameters of the food to be processed may include the current nutrient type and / or the current nutrient ratio of the food to be processed. Further optionally, the nutritional change may include the type of lost nutrient and / or the proportion of lost nutrient. For example, when the intelligent chopper finely chops the food to be processed, if it is predicted that the loss of nutrients before and after chopping is minor, i.e., the nutritional structure is not severely damaged, the subsequent operation of determining the processing parameters of the intelligent kitchen appliance can be directly executed; however, if it is predicted that the loss of nutrients before and after chopping is severe, i.e., the nutritional structure will be severely damaged, the processing expected parameters can be corrected, such as changing fine chopping to medium chopping, and the processing parameters of the intelligent kitchen appliance can be determined according to the corrected processing expected parameters. In addition, the corrected processing expected parameters can also be sent to the user so that the user is aware of this correction operation.

[0101] As can be seen, this optional embodiment can correct the expected processing parameters by predicting the nutritional changes of the food to be processed before and after processing. This can improve the reliability and accuracy of the generated expected processing parameters, thereby improving the reliability and accuracy of the processing parameters of the smart kitchen appliance. This ensures that the food processing operations performed by the smart kitchen appliance will not cause serious damage to the nutritional structure of the food to be processed.

[0102] Example 2

[0103] Please see Figure 3 , Figure 3 This is a flowchart illustrating a food processing control method for an intelligent kitchen appliance disclosed in an embodiment of the present invention. Figure 3The described method for controlling the food processing of intelligent kitchen appliances can be applied to control the food processing of different types of intelligent kitchen appliances. Optionally, the intelligent kitchen appliance can be any one of the following: intelligent chopper, intelligent oven, intelligent air fryer, intelligent cooker, intelligent dough mixer, intelligent stir-fry machine, intelligent juicer, intelligent food processor, etc. This embodiment of the invention does not limit the type of intelligent kitchen appliance or the type of food processing performed by it. Further, optionally, the method can be implemented by a food processing control device, which can be integrated into the intelligent kitchen appliance or exist independently of it. Furthermore, when the food processing control device exists independently of the intelligent kitchen appliance, it can be specifically integrated into a control device or control server that controls the food processing flow. The control server can be a local server or a cloud server, etc., and this embodiment of the invention does not limit this. Figure 3 As shown, the food processing control method of this smart kitchen appliance may include the following operations:

[0104] 201. Collect at least one target information for determining the food parameters corresponding to the food to be processed, and determine the food parameters corresponding to the food to be processed based on all target information.

[0105] 202. Determine the motor type of the control motor corresponding to the processing tools of the smart kitchen appliance.

[0106] In this embodiment of the invention, determining the motor type can be understood as analyzing the operating power, operating current, operating voltage, etc. of the control motor when the processing appliance of the smart kitchen appliance is in a no-load operating state, thereby determining the motor type of the control motor. For example, for a smart chopper, when the operating current of the control motor is less than 790mA, the control motor type is a small-bias motor, and when it is greater than or equal to 790mA, the control motor type is a large-bias motor. Optionally, the motor type of the control motor can be a new motor type determined by performing type detection on the control motor when the food to be processed needs to be processed, or it can be a motor type obtained from historical motor type detection results. For example, during the current processing of the food to be processed, the detection result of the initial motor type detection of the smart kitchen appliance can be used as the motor type of the control motor for this current processing.

[0107] 203. Determine the processing parameters of the smart kitchen appliance based on the ingredient parameters and motor type.

[0108] In this embodiment of the invention, for example, since the operating parameters of the control motors of the same type of smart kitchen appliances may be inconsistent, the motor type and the food parameters can be combined for analysis to determine the processing parameters of the smart kitchen appliances. For example, for the same amount of 100g of meat, the processing time of the smart chopper is 4.5 seconds for a small-biased motor and 4 seconds for a large-biased motor.

[0109] 204. Generate working control instructions for the smart kitchen appliances based on the processing parameters, and control the food processing operations performed by the smart kitchen appliances according to the working control instructions.

[0110] In this embodiment of the invention, for other descriptions of steps 201 and 204, please refer to the detailed descriptions of steps 101 and 103 in Embodiment 1, respectively. These descriptions will not be repeated in this embodiment of the invention.

[0111] As can be seen, implementing the embodiments of the present invention can determine the processing parameters of the smart kitchen appliance by combining the determined motor type and the corresponding food parameters of the food to be processed, which enriches the intelligent determination method of the processing parameters of the smart kitchen appliance, and helps to improve the reliability and accuracy of the determined processing parameters, thereby improving the processing accuracy of the smart kitchen appliance on the food to be processed, and thus improving the processing effect of the smart kitchen appliance on the food to be processed.

[0112] In an optional embodiment, step 203 above, determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredients to be processed and the motor type, includes:

[0113] Based on the motor type, determine the corresponding information table of processing parameters that match the motor type;

[0114] From the information table of processing parameters that match the motor type, determine the processing parameters that match the food parameters of the food to be processed, and use them as the processing parameters of the smart kitchen appliance.

[0115] In this optional embodiment, the corresponding information table for processing parameters will differ depending on the motor type, thus resulting in different processing parameters. Further, in this optional embodiment, determining processing parameters that match the food parameters corresponding to the food to be processed from the processing parameter correspondence table matching the motor type, and using these as the processing parameters for the smart kitchen appliance, may include: determining the expected processing parameters corresponding to the food to be processed; and determining processing parameters that match both the food parameters and the expected processing parameters from the processing parameter correspondence table matching the motor type, and using these as the processing parameters for the smart kitchen appliance.

[0116] For example, for a smart roasting machine, the processing parameters matched with a low-power motor are shown in Table A. If the amount of meat to be processed is 100g, and the meat is to be roasted until fully cooked, the processing parameters matched with 100g of meat can be determined from Table A as a running time of 10 minutes and a running temperature of 180℃. On the other hand, the processing parameters matched with a high-power motor are shown in Table B. If the amount of meat to be processed is 100g, and the meat is to be roasted until fully cooked, the processing parameters matched with 100g of meat can be determined from Table B as a running time of 8 minutes and a running temperature of 200℃.

[0117] As can be seen, this optional embodiment can determine the processing parameters of smart kitchen appliances in a targeted and evidence-based manner by processing the information table corresponding to the processing parameters. This further enriches the intelligent determination method of processing parameters of smart kitchen appliances, which is conducive to improving the reliability and accuracy of the determined processing parameters. In turn, it is conducive to improving the reliability and accuracy of the processing of food ingredients by smart kitchen appliances, thereby meeting the food processing needs and effects required by users and increasing user stickiness of smart kitchen appliances.

[0118] In another optional embodiment, step 203 above, determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredients to be processed and the motor type, includes:

[0119] Based on the motor type, determine the processing parameters that match the motor type to determine the model;

[0120] Input the ingredient parameters corresponding to the ingredients to be processed into the processing parameter determination model, obtain the output results of the processing parameter determination model, and determine the processing parameters of the smart kitchen appliance based on the output results of the processing parameter determination model.

[0121] In this optional embodiment, the processing parameters will be determined differently depending on the type of motor, resulting in different processing parameters. For example, for a smart chopper, model A is used to determine the processing parameters for a small-biased motor. If the amount of meat to be chopped is 100g, and the goal is to chop 100g of meat into small particles, then after inputting the amount of meat to be chopped into model A and analyzing the output of model A, the processing parameters for the smart chopper can be determined to be a running time of 13 seconds. On the other hand, model B is used to determine the processing parameters for a large-biased motor. If the amount of meat to be chopped is 100g, and the goal is to chop 100g of meat into small particles, then after inputting the amount of meat to be chopped into model B and analyzing the output of model B, the processing parameters for the smart chopper can be determined to be a running time of 10 seconds.

[0122] As can be seen, this optional embodiment can determine the processing parameters of the smart kitchen appliance in a targeted and evidence-based manner by processing the working parameters to determine the model. This reflects the flexibility in determining the processing parameters and helps to further improve the reliability and accuracy of the determined processing parameters. In turn, it helps to further improve the reliability and accuracy of the smart kitchen appliance in processing the food to be processed, thereby greatly meeting the user's food processing needs and the food processing effect, and enhancing the user's experience of using the smart kitchen appliance.

[0123] In yet another optional embodiment, the method may further include:

[0124] When the smart kitchen appliance is powered on, start the smart kitchen appliance so that the processing tools of the smart kitchen appliance are in a no-load operation state;

[0125] When the processing equipment of the smart kitchen appliance is in a no-load operation state, the no-load operation electrical parameters of the smart kitchen appliance are collected, and the motor type of the control motor corresponding to the processing equipment of the smart kitchen appliance is determined based on the no-load operation electrical parameters of the smart kitchen appliance.

[0126] In this optional embodiment, the detection of the motor type of the control motor can optionally be performed during any power-on of the smart kitchen appliance, such as the initial power-on or every 20 power-ons. For example, for a smart chopper, upon initial power-on, the chopper is started to allow it to idle (i.e., no food is placed in the chopper cup). At this time, the idle electrical parameters (such as idle current parameters) of the smart chopper are collected. If the idle current parameter is less than 790mA, the motor type of the control motor is a small-bias motor; if the idle current parameter is greater than or equal to 790mA, the motor type of the control motor is a large-bias motor.

[0127] As can be seen, this optional embodiment can determine the motor type of the control motor corresponding to the processing tool of the smart kitchen appliance in a targeted and evidence-based manner by using the no-load electrical parameters of the smart kitchen appliance. This helps to improve the reliability and accuracy of the determined motor type, and in turn, improves the reliability and accuracy of the subsequent determined processing parameters of the smart kitchen appliance, thereby enabling the smart kitchen appliance to precisely process the food to be processed.

[0128] Example 3

[0129] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of a food processing control device for an intelligent kitchen appliance disclosed in an embodiment of the present invention. Figure 4 As shown, the food processing control device of this smart kitchen appliance may include:

[0130] The acquisition module 301 is used to acquire at least one target information for determining the food parameters corresponding to the food to be processed;

[0131] The first determining module 302 is used to determine the ingredient parameters corresponding to the ingredient to be processed based on all target information;

[0132] The second determining module 303 is used to determine the processing parameters of the smart kitchen appliance based on the food parameters corresponding to the food to be processed.

[0133] The instruction generation module 304 is used to generate working control instructions for smart kitchen appliances based on the processing parameters.

[0134] The control module 305 is used to control the food processing operations performed by the smart kitchen appliances according to the work control instructions.

[0135] In this embodiment of the invention, the processing parameters of the smart kitchen appliance include at least one of the following: the running time of the smart kitchen appliance, the running speed of the processing tool of the smart kitchen appliance, the running direction of the processing tool of the smart kitchen appliance, and the running temperature of the processing tool of the smart kitchen appliance; the food parameters corresponding to the food to be processed include one or more combinations of the following: the weight parameter of the food to be processed, the type parameter of the food to be processed, the moisture parameter of the food to be processed, the particle size parameter of the food to be processed, the temperature parameter of the food to be processed, the softness / hardness parameter of the food to be processed, the cookedness parameter of the food to be processed, the flow parameter of the food to be processed, and the crispness parameter of the food to be processed; all target information used to determine the food parameters corresponding to the food to be processed includes the processing tool of the smart kitchen appliance at the time of processing. The target electrical parameters of the smart kitchen appliance collected during operation and / or image data collected for the food to be processed; the target electrical parameters of the smart kitchen appliance collected when the processing tool is in operation include the target electrical parameters of the smart kitchen appliance collected when the processing tool performs food processing operations within a target time period; and / or, the target electrical parameters of the smart kitchen appliance collected when the processing tool performs food processing operations within a target time period include current parameters; and / or, the smart kitchen appliance includes a smart chopper; and / or, the processing tool of the smart kitchen appliance includes the chopping tool of the smart chopper; the start time of the target time period is the start time of the processing tool of the smart kitchen appliance, and the duration of the target time period is a preset duration.

[0136] It is evident that implementation Figure 4 The described intelligent kitchen appliance's food processing control device can intelligently control the appliance to process food through generated processing parameters, eliminating the need for users to constantly monitor the processing progress. This not only simplifies the food processing steps, improving convenience and efficiency, but also enhances the accuracy and effectiveness of the appliance's processing. Ultimately, this allows the appliance to better meet users' food processing needs, improving their user experience and increasing user loyalty.

[0137] In an optional embodiment, the first determining module 302 is further configured to:

[0138] Before the second determining module 303 determines the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed, it determines the motor type of the control motor corresponding to the processing tool of the smart kitchen appliance.

[0139] Specifically, the second determining module 303 determines the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredients to be processed in the following way:

[0140] Based on the food parameters and motor type, determine the processing parameters of the smart kitchen appliance; or,

[0141] Determine the expected processing parameters for the ingredients to be processed;

[0142] Based on the ingredient parameters and expected processing parameters of the ingredients to be processed, the processing parameters of the smart kitchen appliances are determined.

[0143] In this optional embodiment, the expected processing parameters include at least one of the following: expected weight parameters, moisture parameters, particle size parameters, temperature parameters, hardness parameters, cookedness parameters, flow parameters, and crispness parameters of the processed food.

[0144] It is evident that implementation Figure 5 The described intelligent kitchen appliance's food processing control device, on the one hand, can determine the processing parameters of the intelligent kitchen appliance by combining the determined motor type and the corresponding food parameters of the food to be processed. This enriches the intelligent determination method of the processing parameters of the intelligent kitchen appliance, which helps to improve the reliability and accuracy of the determined processing parameters, thereby improving the processing precision of the intelligent kitchen appliance and thus improving the processing effect of the food. On the other hand, it can also determine the processing parameters of the intelligent kitchen appliance by combining the expected processing parameters and food parameters of the food to be processed. This helps to improve the reliability and accuracy of the determined processing parameters, thereby improving the processing precision of the intelligent kitchen appliance and thus improving the processing effect of the food, so that the processed food can meet the user's cooking or consumption needs.

[0145] In another optional embodiment, the second determining module 303 determines the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredients to be processed and the motor type in the following specific way:

[0146] Based on the motor type, determine the corresponding information table of processing parameters that match the motor type;

[0147] From the table of processing parameters that match the motor type, determine the processing parameters that match the food parameters of the food to be processed, and use these as the processing parameters for the smart kitchen appliance; or,

[0148] Based on the motor type, determine the processing parameters that match the motor type to determine the model;

[0149] Input the ingredient parameters corresponding to the ingredients to be processed into the processing parameter determination model, obtain the output results of the processing parameter determination model, and determine the processing parameters of the smart kitchen appliance based on the output results of the processing parameter determination model.

[0150] It is evident that implementation Figure 5 The described food processing control device for smart kitchen appliances, on the one hand, can determine the processing parameters of the smart kitchen appliance in a targeted and evidence-based manner through a processing parameter correspondence information table. This further enriches the intelligent determination method of processing parameters for smart kitchen appliances, which helps improve the reliability and accuracy of the determined processing parameters. This, in turn, improves the reliability and precision of the smart kitchen appliance's processing of food, thereby meeting the user's food processing needs and achieving the desired results, and increasing user stickiness. On the other hand, it can also determine the processing parameters of the smart kitchen appliance in a targeted and evidence-based manner through a processing parameter determination model. This demonstrates the flexibility in determining processing parameters, further improving the reliability and accuracy of the determined processing parameters. This, in turn, further improves the reliability and precision of the smart kitchen appliance's processing of food, thereby greatly meeting the user's food processing needs and achieving the desired results, and enhancing the user experience of the smart kitchen appliance.

[0151] In yet another alternative embodiment, the device may further include:

[0152] The startup module 306 is used to start the smart kitchen appliance when it is powered on, so that the processing utensils of the smart kitchen appliance are in a no-load operation state.

[0153] The data acquisition module 301 is also used to acquire the no-load operating electrical parameters of the smart kitchen appliance when the processing utensils of the smart kitchen appliance are in a no-load operating state.

[0154] The first determining module 302 is also used to determine the motor type of the control motor corresponding to the processing tool of the smart kitchen appliance based on the no-load operation electrical parameters of the smart kitchen appliance.

[0155] It is evident that implementation Figure 5 The food processing control device of the described smart kitchen appliance can determine the motor type of the control motor corresponding to the processing utensils of the smart kitchen appliance in a targeted and evidence-based manner by using the no-load electrical parameters of the smart kitchen appliance. This helps to improve the reliability and accuracy of the determined motor type, and in turn, improves the reliability and accuracy of the subsequent determined processing parameters of the smart kitchen appliance, thereby enabling the smart kitchen appliance to precisely process the food to be processed.

[0156] Example 4

[0157] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of a food processing control device for another type of intelligent kitchen appliance disclosed in an embodiment of the present invention. For example... Figure 6 As shown, the food processing control device of this smart kitchen appliance may include:

[0158] Memory 401 storing executable program code;

[0159] Processor 402 coupled to memory 401;

[0160] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the food processing control method of the intelligent kitchen appliance described in Embodiment 1 or Embodiment 2 of the present invention.

[0161] Example 5

[0162] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the food processing control method for intelligent kitchen appliances described in Embodiment 1 or Embodiment 2 of this invention.

[0163] Example 6

[0164] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the food processing control method for intelligent kitchen appliances described in Embodiment 1 or Embodiment 2.

[0165] Example 7

[0166] This invention discloses a smart kitchen appliance, which includes a housing, a control unit, a control motor, and processing utensils, wherein:

[0167] The control host is used to execute the steps in the food processing control method of the smart kitchen appliance as described in Embodiment 1 or Embodiment 2.

[0168] In an embodiment of the present invention, for example, Figure 1 This is a structural schematic diagram of a smart kitchen appliance disclosed in an embodiment of the present invention, as shown below. Figure 1As shown in -A, when the smart kitchen appliance is a smart chopper, it may include a control motor (parts marked 2 and 4), a control unit (marked 3), a processing tool (marked 6, i.e., the chopping blade), and a housing (marked 8, i.e., the chopping cup). It may also include a housing cover (marked 5, i.e., the cup lid) covering the housing port. Specifically, after the user places the meat pieces to be processed (marked 7) into the chopping cup, closes the cup lid, and assembles the control unit onto the cup lid, the user can access the chopper via the control panel (e.g., ...). Figure 1 Input the expected processing parameters (e.g., fine particles) for the meat piece (as shown in markings 3.1-3.3 in section -B), then press and release the start button (marked 1) of the intelligent chopper. The chopper blades will then start, and the control unit will collect the current parameters (e.g., 1150mA) of the blades within 3 seconds of start-up. Based on these current parameters, the control unit will determine the meat weight to be 100g. Subsequently, the control unit can determine the processing parameters of the intelligent chopper (e.g., 13 seconds of operation) based on these expected processing parameters and the meat weight. This allows the control unit to control the chopping operation of the intelligent chopper according to these parameters, until the chopping operation ends after 13 seconds.

[0169] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0170] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0171] Finally, it should be noted that the food processing control method and device for intelligent kitchen appliances disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling food processing in a smart kitchen appliance, characterized in that, The method includes: Collect at least one target information for determining the ingredient parameters corresponding to the ingredient to be processed, and determine the ingredient parameters corresponding to the ingredient to be processed based on all the target information; Based on the ingredient parameters corresponding to the ingredients to be processed, the processing parameters of the smart kitchen appliance are determined; the processing parameters of the smart kitchen appliance include at least one of the following: the running time of the smart kitchen appliance, the running speed of the processing tool of the smart kitchen appliance, the running direction of the processing tool of the smart kitchen appliance, and the running temperature of the processing tool of the smart kitchen appliance. Based on the processing parameters, the system generates control instructions for the smart kitchen appliance and controls the food processing operations performed by the smart kitchen appliance according to the control instructions. The step of determining the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed includes: Determine the expected processing parameters corresponding to the food to be processed; the expected processing parameters include at least one of the expected weight parameters, moisture parameters, particle size parameters, temperature parameters, hardness parameters, cookedness parameters, flow parameters, and crispness parameters of the food to be processed after processing; The current nutritional parameters of the food to be processed are obtained, and based on the current nutritional parameters of the food to be processed and the expected processing parameters corresponding to the food to be processed, the nutritional changes between the food to be processed and the processed food to be processed are predicted; the current nutritional parameters include current nutrient type parameters and / or current nutrient ratio parameters, and the nutritional changes include lost nutrient type parameters and / or nutrient ratio parameters. Determine whether the nutritional changes are the preset nutritional changes; When the judgment result is yes, the processing parameters of the smart kitchen appliance are determined according to the ingredient parameters corresponding to the ingredient to be processed and the expected processing parameters corresponding to the ingredient to be processed. When the judgment result is negative, the processing expected parameters corresponding to the ingredient to be processed are corrected according to the nutritional changes to obtain the corrected processing expected parameters. Based on the ingredient parameters corresponding to the ingredient to be processed and the corrected processing expected parameters, the processing parameters of the smart kitchen appliance are determined.

2. The food processing control method for intelligent kitchen appliances according to claim 1, characterized in that, The food parameters corresponding to the food to be processed include one or more of the following: weight parameter, type parameter, moisture parameter, particle size parameter, temperature parameter, hardness parameter, cookedness parameter, flow parameter, and crispness parameter.

3. The food processing control method for intelligent kitchen appliances according to claim 1 or 2, characterized in that, All the target information used to determine the food parameters corresponding to the food to be processed includes the target electrical parameters of the smart kitchen appliance collected when the processing tool of the smart kitchen appliance is in operation and / or the image data collected for the food to be processed.

4. The food processing control method for intelligent kitchen appliances according to claim 3, characterized in that, The target electrical parameters of the smart kitchen appliance collected when the processing tool is in operation include the target electrical parameters of the smart kitchen appliance collected when the processing tool performs food processing operations within a target time period; and / or, The smart kitchen appliance includes a smart chopper; and / or, The processing utensils of the smart kitchen appliance include the chopping utensils of the smart chopper.

5. The food processing control method for intelligent kitchen appliances according to claim 4, characterized in that, The start time of the target time period is the start time of the processing utensils of the smart kitchen appliance, and the duration of the target time period is a preset duration.

6. A food processing control device for an intelligent kitchen appliance, characterized in that, The device is used to perform the food processing control method of the intelligent kitchen appliance as described in any one of claims 1-5, and the device comprises: The acquisition module is used to acquire at least one target information for determining the food parameters corresponding to the food to be processed; The first determining module is used to determine the food parameters corresponding to the food to be processed based on all the target information. The second determining module is used to determine the processing parameters of the smart kitchen appliance based on the ingredient parameters corresponding to the ingredient to be processed; the processing parameters of the smart kitchen appliance include at least one of the following: the running time of the smart kitchen appliance, the running speed of the processing tool of the smart kitchen appliance, the running direction of the processing tool of the smart kitchen appliance, and the running temperature of the processing tool of the smart kitchen appliance. The instruction generation module is used to generate working control instructions for the smart kitchen appliance based on the processing parameters. The control module is used to control the food processing operations performed by the smart kitchen appliance according to the work control instructions.

7. A food processing control device for an intelligent kitchen appliance, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the food processing control method of the smart kitchen appliance as described in any one of claims 1-5.

8. A smart kitchen appliance, characterized in that, The intelligent kitchen appliance includes a housing, a control unit, a control motor, and processing utensils, wherein: The control host is used to execute the food processing control method of the intelligent kitchen appliance as described in any one of claims 1-5.

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