CN115112211B - Intelligent kitchen electricity-based food weight intelligent determination method and device - Google Patents

Intelligent kitchen electricity-based food weight intelligent determination method and device Download PDF

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Publication number
CN115112211B
CN115112211B CN202210923064.3A CN202210923064A CN115112211B CN 115112211 B CN115112211 B CN 115112211B CN 202210923064 A CN202210923064 A CN 202210923064A CN 115112211 B CN115112211 B CN 115112211B
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food material
weight
determining
current food
kitchen electricity
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CN115112211A (en
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陈滔
关树开
邓财科
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Foshan Bear Kitchen Electric Appliance Co Ltd
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Foshan Bear Kitchen Electric Appliance Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01G—WEIGHING
    • G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups

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  • General Physics & Mathematics (AREA)
  • Food-Manufacturing Devices (AREA)

Abstract

The invention discloses an intelligent food material weight determining method and device based on intelligent kitchen electricity, wherein the method comprises the following steps: collecting at least one piece of information for determining the weight of the food material; all the information comprises at least one of kitchen electric parameters acquired by the kitchen electric treatment appliance during operation, movement parameters of the treatment appliance and image data acquired for food materials; based on all the information, the weight of the food material is determined. Therefore, the weight of the food material can be quickly and accurately determined even if the food material is in a moving state without weighing the weight of the food material when the food material is in a static state, so that the weight determination efficiency of the food material is improved, the processing efficiency and the cooking efficiency of kitchen electricity on the food material are improved, the reliability and the accuracy of the weight determination of the food material are improved, and the kitchen electricity can accurately process and cook the food material, so that the processing and the cooking effect of the kitchen electricity on the food material are improved.

Description

Intelligent kitchen electricity-based food weight intelligent determination method and device
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to an intelligent food weight determining method and device based on intelligent kitchen electricity.
Background
Along with the improvement of the living standard of people, the types of used kitchen appliances are also more and more diversified (such as a chopper, a cooker and the like). The kitchen appliance simplifies the complicated food material treatment and food material cooking steps, so that the hands of people can be liberated, and the people can enjoy simple and comfortable life as much as possible.
Currently, in the process of processing or cooking food materials by a kitchen appliance, it is often required to determine the weight of the food materials, for example, before the food materials are cooked by a cooker, the weight of the food materials is weighed by an electronic scale built in the cooker, and then the food materials are cooked according to the weight of the food materials. However, through practice, the current food weight determining method adopts a static weighing mode, namely, the weight of the food is weighed when the food is in a static state, and once the food is in a moving state, the accuracy of the determined weight of the food is lower, so that the processing effect and the cooking effect of the intelligent kitchen electricity on the food are affected. It can be seen that for kitchen appliances it is particularly important how to improve the accuracy of the determined weight of the food material.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method and a device for intelligently determining the weight of food materials based on intelligent kitchen electricity, which can improve the determination efficiency of the weight of the food materials, thereby improving the processing efficiency and the cooking efficiency of the kitchen electricity on the food materials, and further improving the determination reliability and the accuracy of the weight of the food materials, so that the kitchen electricity can accurately process and cook the food materials, and further improving the processing and cooking effects of the kitchen electricity on the food materials.
In order to solve the technical problems, the first aspect of the invention discloses an intelligent food material weight determining method based on intelligent kitchen electricity, which comprises the following steps:
Collecting at least one target information for determining a weight parameter corresponding to the current food material; the target information comprises at least one of target electric parameters of the intelligent kitchen electricity, moving parameters of the processing tool and image data acquired for the current food material, wherein the target electric parameters of the intelligent kitchen electricity are acquired by the processing tool of the intelligent kitchen electricity when the processing tool is in an operating state;
and determining weight parameters corresponding to the current food materials according to all the target information.
As an optional implementation manner, in the first aspect of the present invention, before the determining, according to all the target information, a weight parameter corresponding to the current food material, the method further includes:
determining the motor type of a control motor corresponding to the intelligent kitchen electricity treatment appliance;
wherein, the determining the weight parameter corresponding to the current food material according to all the target information includes:
And determining the weight parameter corresponding to the current food material according to the motor type and all the target information.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the motor type and all the target information, a weight parameter corresponding to the current food material includes:
According to the motor type and all the target information, analyzing force parameters formed by the current food materials on the processing tool when the processing tool of the intelligent kitchen electricity is in an operating state; the force parameter includes a resistance parameter;
and determining a weight parameter corresponding to the current food material according to the force parameter formed by the current food material on the processing tool.
As an optional implementation manner, in the first aspect of the present invention, after the determining, according to all the target information, a weight parameter corresponding to the current food material, the method further includes:
Determining target parameters of the current food materials, and judging whether to execute correction operation on weight parameters corresponding to the current food materials according to the target parameters of the current food materials;
And when the judgment result is yes, executing correction operation on the weight parameter corresponding to the current food material.
In an optional implementation manner, in a first aspect of the present invention, the determining, according to the target parameter of the current food material, whether a correction operation needs to be performed on the weight parameter corresponding to the current food material includes:
According to the target parameters of the current food, analyzing the target condition of the current food on the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in an operating state;
Determining influence relevance of the target condition on all the target information, and judging whether the influence relevance is greater than or equal to a preset influence relevance threshold;
And when the judgment result is yes, determining that the correction operation needs to be executed on the weight parameter corresponding to the current food material.
As an optional implementation manner, in the first aspect of the present invention, the target parameter of the current food material includes at least one of a viscosity parameter of the current food material, a volume parameter of the current food material, a particle size parameter of the current food material, a hardness parameter of the current food material, and a flow condition of the current food material.
As an optional implementation manner, in the first aspect of the present invention, all the target information includes at least one of a target electrical parameter of the smart kitchen electrical power, a movement parameter of the processing appliance, and image data acquired for the current food material, which are acquired by the processing appliance of the smart kitchen electrical power when in an operating state and performing a food material processing operation in a target period of time; and/or the number of the groups of groups,
The target electrical parameters of the intelligent kitchen electricity comprise current parameters; and/or the number of the groups of groups,
The movement parameters of the treatment appliance include a movement rate and/or a movement direction.
The invention discloses an intelligent food material weight determining device based on intelligent kitchen electricity, which comprises:
The acquisition module is used for acquiring at least one target information for determining the weight parameter corresponding to the current food; the target information comprises at least one of target electric parameters of the intelligent kitchen electricity, moving parameters of the processing tool and image data acquired for the current food material, wherein the target electric parameters of the intelligent kitchen electricity are acquired by the processing tool of the intelligent kitchen electricity when the processing tool is in an operating state;
And the first determining module is used for determining the weight parameter corresponding to the current food material according to all the target information.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:
The second determining module is used for determining the motor type of the control motor corresponding to the intelligent kitchen electricity processing appliance before the first determining module determines the weight parameter corresponding to the current food material according to all the target information;
The first determining module determines the weight parameter corresponding to the current food material according to all the target information in the following specific ways:
And determining the weight parameter corresponding to the current food material according to the motor type and all the target information.
In a second aspect of the present invention, the first determining module determines, according to the motor type and all the target information, the weight parameter corresponding to the current food material specifically as follows:
According to the motor type and all the target information, analyzing force parameters formed by the current food materials on the processing tool when the processing tool of the intelligent kitchen electricity is in an operating state; the force parameter includes a resistance parameter;
and determining a weight parameter corresponding to the current food material according to the force parameter formed by the current food material on the processing tool.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:
The third determining module is used for determining the target parameters of the current food material after the first determining module determines the weight parameters corresponding to the current food material according to all the target information;
The judging module is used for judging whether the weight parameter corresponding to the current food material needs to be corrected according to the target parameter of the current food material;
And the correction module is used for executing correction operation on the weight parameter corresponding to the current food material when the judgment result of the judgment module is yes.
In a second aspect of the present invention, the determining module determines, according to the target parameter of the current food material, whether a correction operation needs to be performed on the weight parameter corresponding to the current food material specifically includes:
According to the target parameters of the current food, analyzing the target condition of the current food on the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in an operating state;
Determining influence relevance of the target condition on all the target information, and judging whether the influence relevance is greater than or equal to a preset influence relevance threshold;
And when the judgment result is yes, determining that the correction operation needs to be executed on the weight parameter corresponding to the current food material.
As an optional embodiment, in the second aspect of the present invention, the target parameter of the current food material includes at least one of a viscosity parameter of the current food material, a volume parameter of the current food material, a particle size parameter of the current food material, a hardness parameter of the current food material, and a flow condition of the current food material.
As an optional implementation manner, in the second aspect of the present invention, all the target information includes at least one of a target electrical parameter of the smart kitchen electrical power acquired by the processing appliance of the smart kitchen electrical power when the processing appliance is in an operating state and performs a food material processing operation in a target period of time, a movement parameter of the processing appliance, and image data acquired for the current food material; and/or the number of the groups of groups,
The target electrical parameters of the intelligent kitchen electricity comprise current parameters; and/or the number of the groups of groups,
The movement parameters of the treatment appliance include a movement rate and/or a movement direction.
The third aspect of the invention discloses another intelligent food material weight determining device based on intelligent kitchen electricity, which comprises:
a memory storing executable program code;
A processor coupled to the memory;
The processor calls the executable program codes stored in the memory to execute the intelligent food weight determining method based on intelligent kitchen electricity disclosed in the first aspect of the invention.
A fourth aspect of the present invention discloses a computer storage medium storing computer instructions for executing the intelligent food material weight determining method based on intelligent kitchen electricity disclosed in the first aspect of the present invention when the computer instructions are called.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
In the embodiment of the invention, at least one piece of target information for determining the weight parameter corresponding to the current food material is acquired; all the target information comprises at least one of target electric parameters of the intelligent kitchen electricity, moving parameters of the processing tool and image data acquired for the current food materials, wherein the target electric parameters of the intelligent kitchen electricity are acquired by the processing tool of the intelligent kitchen electricity when the processing tool is in an operating state; and determining weight parameters corresponding to the current food materials according to all the target information. Therefore, the weight of the food material can be quickly and accurately determined even if the food material is in a moving state without weighing the weight of the food material, and the intelligent determination mode of the weight of the food material is enriched, so that the method is beneficial to improving the determination efficiency of the weight of the food material, the processing efficiency and the cooking efficiency of the intelligent kitchen electricity on the food material, and the reliability and the accuracy of the determination of the weight of the food material, so that the intelligent kitchen electricity can accurately process and cook the food material, and further the processing effect and the cooking effect of the intelligent kitchen electricity on the food material are improved, the processing and the cooking demands of users on the food material are met, and the user viscosity of the intelligent kitchen electricity is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an intelligent food weight determining method based on intelligent kitchen electricity, which is disclosed in the embodiment of the invention;
FIG. 2 is a schematic flow chart of another intelligent food weight determining method based on intelligent kitchen electricity according to the embodiment of the invention;
fig. 3 is a schematic structural diagram of an intelligent food weight determining device based on intelligent kitchen electricity according to an embodiment of the invention;
Fig. 4 is a schematic structural diagram of another intelligent food weight determining device based on intelligent kitchen electricity according to the embodiment of the invention;
fig. 5 is a schematic structural diagram of another intelligent food weight determining device based on intelligent kitchen electricity according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses an intelligent food material weight determining method and device based on intelligent kitchen electricity, which can improve the determining efficiency of the kitchen electricity on the weight of food materials, so as to improve the processing efficiency and cooking efficiency of the kitchen electricity on the food materials, and further improve the determining reliability and accuracy of the kitchen electricity on the weight of the food materials, so that the kitchen electricity can accurately process and cook the food materials, and the processing and cooking effects of the kitchen electricity on the food materials are improved. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent food weight determining method based on intelligent kitchen electricity according to an embodiment of the invention. The intelligent food material weight determining method based on the intelligent kitchen electricity described in fig. 1 can be applied to determining the food material weight of the current food material based on different types of intelligent kitchen electricity. Optionally, the intelligent kitchen electricity may be any one of an intelligent chopper, an intelligent baking machine, an intelligent air frying pan, an intelligent cooking pan, an intelligent dough kneading machine, an intelligent cooking machine, an intelligent juice extractor, an intelligent chef machine, and the like, and the embodiment of the invention is not limited to the type of the intelligent kitchen electricity, the type of food processing to be realized by using the determined weight of the food material, and the type of food cooking. Further optionally, the weight of the current food material may be determined when the current food material is in a moving state, or may be determined when the current food material is in a stationary state, which is not limited by the embodiment of the present invention. Still further, the method may be implemented by a food weight determining device, which may be integrated in the intelligent kitchen electricity or may exist independently of the intelligent kitchen electricity. Still further, when the food weight determining device exists independently of the intelligent kitchen electricity, the food weight determining device may be specifically integrated in a control device or a control server for controlling the food weight parameter determining process, where the control server may be a local server or a cloud server, and the embodiment of the present invention is not limited. As shown in fig. 1, the intelligent food material weight determining method based on intelligent kitchen electricity can include the following operations:
101. at least one target information for determining a weight parameter corresponding to the current food material is collected.
In the embodiment of the present invention, optionally, the current food material may be food material that has not been processed or cooked, may be food material that is being processed or is being cooked, or may be processed or cooked.
Further optionally, the all target information includes at least one of a target electrical parameter of the intelligent kitchen electricity collected by the processing tool of the intelligent kitchen electricity when in an operating state, a moving parameter of the processing tool, and image data collected for the current food material. Specifically, the target electrical parameter of the intelligent kitchen electricity collected by the processing tool of the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in the running state can be understood as the target electrical parameter of the intelligent kitchen electricity collected by the processing tool of the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in the loaded running state, such as working power, working current, working resistance, working voltage and the like of the intelligent chopper in the process of chopping food; the movement parameters of the processing tool collected by the processing tool of the intelligent kitchen electricity in the running state can be understood as the movement parameters of the processing tool collected by the processing tool of the intelligent kitchen electricity in the loaded running state, such as the rotation speed, the rotation direction and the like of the chopping knife of the intelligent chopper in the process of chopping food materials; the image data collected by the processing tool of the intelligent kitchen electricity in the running state aiming at the current food material can be understood to be the image data which is collected by the processing tool of the intelligent kitchen electricity in the loaded running state and can analyze the weight parameter corresponding to the current food material, for example, in the process of baking the current food material by the intelligent baking box, the volume, the thickness, the type, the density and the like of the food material can be obtained by analyzing through the infrared image data and/or the full-color image data and combining with the related image scale, and the weight parameter corresponding to the current food material can be further analyzed; and the intelligent kitchen electricity can comprise an intelligent cooking machine, an intelligent chopper, an intelligent baking machine and the like, wherein the processing appliance of the intelligent kitchen electricity can be a stir-frying appliance of the intelligent cooking machine, a chopping appliance of the intelligent chopper, a baking appliance of the intelligent baking machine and the like.
Still further alternatively, all the target information includes at least one of a target electric parameter of the smart kitchen electricity, a movement parameter of the processing appliance, and image data acquired for the current food material, which are acquired when the processing appliance of the smart kitchen electricity is in an operating state and performs a food material processing operation within a target time period, wherein the target time period may be a time period from a starting time of the processing appliance, or may be any time period when the processing appliance is in an operating state, such as 5 seconds after a shredder of the smart shredder is started; the target electric parameter of the intelligent kitchen electricity can be specifically a current parameter of the intelligent kitchen electricity, for example, the working current of the intelligent chopper is 1000mA; the movement parameters of the treatment appliance may be in particular the movement rate and/or the movement direction of the treatment appliance, such as the speed of the intelligent chopper being 20 revolutions per second.
102. And determining weight parameters corresponding to the current food materials according to all the target information.
In the embodiment of the invention, after all the target information is acquired, all the target information can be analyzed, so that the weight parameter corresponding to the current food material can be determined according to the analysis result. For example, after the fruit to be shredded is placed inside the shredder cup of the intelligent shredder, the intelligent shredder is started to start shredding the fruit, and at this time, the relevant movement parameters of the shredder blades of the intelligent shredder (such as 20 revolutions per second) can be acquired. Since the weight of the fruit can influence the moving parameter, the weight of the fruit can be analyzed to be 100g according to the parameter relation between the weight parameter and the moving parameter; and if the setting position of the meat block to be processed in the intelligent baking machine is detected to be in accordance with the preset setting position, the intelligent baking machine can be started immediately, and infrared image data aiming at the meat block can be acquired. And then analyzing the infrared image data by combining a relevant scale, and further analyzing the volume and the density of the meat mass, so that the weight of the meat mass can be analyzed.
Further, as an optional embodiment, before determining the weight parameter corresponding to the current food material according to all the target information, the method may include: processing all the acquired target information to obtain all the processed target information, and triggering and executing the operation of determining the weight parameter corresponding to the current food material according to all the target information, wherein all the target information is all the processed target information. Alternatively, the processing of all the collected target information may be the average processing of a plurality of data of the same kind of target information, or may be the acquisition of data with stable trend from a plurality of data of the same kind of target information. For example, with the intelligent chopper, since the weight of the current food affects the operation current of the intelligent chopper during the chopping of the food, the operation current thereof may be collected multiple times through the current sampling resistor within 0-3 seconds after the intelligent chopper is started, and the operation current collected multiple times is averaged as a target current value for analyzing the weight parameter corresponding to the current food.
Therefore, the embodiment of the invention can quickly and accurately determine the weight of the food material without weighing the weight of the food material in a static state, even if the food material is in a moving state, enriches the intelligent determination mode of the weight of the food material, is beneficial to improving the determination efficiency of the weight of the food material, thereby improving the processing efficiency and the cooking efficiency of the intelligent kitchen electricity on the food material, is beneficial to improving the determination reliability and the accuracy of the weight of the food material, ensures that the intelligent kitchen electricity can accurately process and cook the food material, and further improves the processing effect and the cooking effect of the intelligent kitchen electricity on the food material, thereby meeting the processing and cooking requirements of users on the food material and improving the user viscosity of the intelligent kitchen electricity.
In an optional embodiment, after determining the weight parameter corresponding to the current food material according to all the target information in step 102, the method may further include:
Determining target parameters of the current food material, and judging whether to execute correction operation on weight parameters corresponding to the current food material according to the target parameters of the current food material;
And when the judgment result is yes, executing the correction operation on the weight parameter corresponding to the current food material.
In this optional embodiment, optionally, the target parameter of the current food material includes at least one of a viscosity parameter of the current food material, a volume parameter of the current food material, a particle size parameter of the current food material, a hardness parameter of the current food material, and a flow condition of the current food material. Specifically, the target parameter of the current food material may be understood as other parameters that can affect the numerical value of all the target information, in addition to the weight parameter of the current food material. For example, if the value of the volume parameter of the current food material in the chopping cup of the intelligent chopper is too large, the current food material extrudes the chopping cup and/or the chopping knife, so that the rotation speed of the collected chopping knife is affected, and the determined weight parameter corresponding to the current food material is affected.
Therefore, according to the alternative embodiment, the weight parameter corresponding to the current food material can be corrected in a targeted manner through the target parameter of the current food material, the intelligent processing mode of the weight determining device for the food material weight parameter is enriched, the reliability and the accuracy of the determined weight parameter corresponding to the current food material are improved, and further the intelligent kitchen electricity is beneficial to accurately processing or cooking the food material according to the corrected weight parameter, so that the processing effect and the cooking effect of the intelligent kitchen electricity on the food material are guaranteed.
In another optional embodiment, the determining, according to the target parameter of the current food material, whether to perform the correction operation on the weight parameter corresponding to the current food material in the step includes:
according to the target parameters of the current food materials, analyzing the target conditions of the current food materials on the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in an operating state;
Determining influence relevance of the target condition on all target information, and judging whether the influence relevance is greater than or equal to a preset influence relevance threshold;
And when the judgment result is yes, determining that the correction operation needs to be executed on the weight parameter corresponding to the current food material.
In this optional embodiment, optionally, the target condition of forming the smart kitchen electricity by the current food material when the processing tool of the smart kitchen electricity is in the operation state includes at least one of an adhesion condition of forming the current food material to a dish tool contact side of the smart kitchen electricity, an adhesion condition of forming the current food material to the processing tool of the smart kitchen electricity, an extrusion condition of forming the current food material to a dish tool contact side of the smart kitchen electricity, an extrusion condition of forming the current food material to the processing tool of the smart kitchen electricity, and a collision condition of forming the current food material to the processing tool of the smart kitchen electricity.
Further, in this alternative embodiment, the method may further include: when the influence association degree is judged to be smaller than the preset influence association degree threshold value, it is determined that correction operation is not required to be executed on the weight parameter corresponding to the current food material.
For example, if the viscosity parameter value of the current food material in the pan of the intelligent cooker is too large, the current food material is adhered to the contact side of the pan or the stir-frying tool, so that the determined weight parameter corresponding to the current food material is affected, and the cooking control of the intelligent cooker on the current food material, such as the cooking duration, the component of the added ingredients and the like, is affected.
Therefore, according to the alternative embodiment, the target condition formed by the current food material on the intelligent kitchen electricity can be corrected and judged in a targeted manner, so that the intelligent correction and judgment mode of the weight determining device for the weight parameters of the food material is enriched, the correction reliability and correction accuracy of the weight parameters corresponding to the current food material are improved, and the reliability and accuracy of the corrected weight parameters corresponding to the current food material are ensured.
Example two
Referring to fig. 2, fig. 2 is a flow chart of an intelligent food weight determining method based on intelligent kitchen electricity according to an embodiment of the invention. The intelligent food material weight determining method based on the intelligent kitchen electricity described in fig. 2 can be applied to determining the food material weight of the current food material based on different types of intelligent kitchen electricity. Optionally, the intelligent kitchen electricity may be any one of an intelligent chopper, an intelligent baking machine, an intelligent air frying pan, an intelligent cooking pan, an intelligent dough kneading machine, an intelligent cooking machine, an intelligent juice extractor, an intelligent chef machine, and the like, and the embodiment of the invention is not limited to the type of the intelligent kitchen electricity, the type of food processing to be realized by using the determined weight of the food material, and the type of food cooking. Further optionally, the weight of the current food material may be determined when the current food material is in a moving state, or may be determined when the current food material is in a stationary state, which is not limited by the embodiment of the present invention. Still further, the method may be implemented by a food weight determining device, which may be integrated in the intelligent kitchen electricity or may exist independently of the intelligent kitchen electricity. Still further, when the food weight determining device exists independently of the intelligent kitchen electricity, the food weight determining device may be specifically integrated in a control device or a control server for controlling the food weight parameter determining process, where the control server may be a local server or a cloud server, and the embodiment of the present invention is not limited. As shown in fig. 2, the intelligent food material weight determining method based on intelligent kitchen electricity can include the following operations:
201. At least one target information for determining a weight parameter corresponding to the current food material is collected.
In the embodiment of the present invention, for other descriptions of step 201, please refer to the detailed description of step 101 in the first embodiment, and the description of the embodiment of the present invention is omitted.
202. And determining the motor type of the control motor corresponding to the intelligent kitchen electric treatment appliance.
In the embodiment of the invention, determining the motor type can be understood as analyzing the working power, the working current, the working voltage and the like of the control motor when the processing appliance of the intelligent kitchen electricity is in a no-load operation state, so as to determine the motor type of the control motor, for example, when the working current of the control motor is smaller than 790mA for the intelligent chopper, the control motor type is a small deflection motor, and when the working current of the control motor is larger than or equal to 790mA, the control motor type is a large deflection motor. Optionally, the motor type of the control motor may be a new motor type determined by performing type detection on the control motor when the current food material needs to be processed or cooked, or may be a motor type obtained from a historical motor type detection result, for example, in the current processing or cooking process of the current food material, a detection result of performing motor type detection for the first time by using the intelligent kitchen electric power is used as the motor type of the control motor.
203. And determining weight parameters corresponding to the current food materials according to the motor type and all target information.
In the embodiment of the present invention, for example, since the same type of intelligent kitchen electricity may have inconsistent working parameters of the control motor, so as to affect the determined weight parameter corresponding to the current food material, the motor type may be further combined with all target information for analysis, so as to determine the weight parameter corresponding to the current food material, for example, in the process of cutting the current food material, the working currents of the intelligent cutting machine a and the intelligent cutting machine B are all 1000mA, but because the intelligent cutting machine a adopts a small deflection motor, the determined weight parameter corresponding to the current food material is 200g, and because the intelligent cutting machine B adopts a large deflection motor, the determined weight parameter corresponding to the current food material is 180g.
Therefore, by implementing the embodiment of the invention, the weight parameter corresponding to the current food material can be determined by combining the determined motor type and all the acquired target information, the intelligent determination mode of the food material weight determining device on the weight parameter of the food material is enriched, the reliability and the accuracy of the determined weight parameter of the food material are improved, and the processing and cooking accuracy of the follow-up intelligent kitchen electricity on the current food material are improved, so that the processing and cooking effect of the intelligent kitchen electricity on the current food material are improved.
In an optional embodiment, determining the weight parameter corresponding to the current food material according to the motor type and all the target information in step 203 includes:
According to the type of the motor and all target information, analyzing force parameters formed by the current food materials on the processing tool when the processing tool of the intelligent kitchen electricity is in an operating state;
and determining a weight parameter corresponding to the current food material according to the force parameter formed by the current food material on the processing tool.
In this alternative embodiment, wherein the force parameter comprises a resistance parameter. For example, in the process of cutting the food materials by the intelligent cutter, the running resistance of the cutter for a few seconds is affected by the weight of the food materials, and the resistance can be represented by the working current of the intelligent cutter, so that after the working current of the intelligent cutter is collected, the running resistance of the cutter by the current food materials can be analyzed, and the weight parameter corresponding to the current food materials can be determined according to the analyzed running resistance of the cutter by the current food materials.
Further, in this optional embodiment, the determining, in step 203, the weight parameter corresponding to the current food material according to the motor type and all the target information includes:
According to the motor type, determining a food weight parameter corresponding information table matched with the motor type;
Determining the weight parameters of the food materials matched with all target information from a corresponding information table of the weight parameters of the food materials matched with the motor type, and taking the weight parameters as the weight parameters corresponding to the current food materials; and/or the number of the groups of groups,
According to the motor type, determining a food weight parameter determination model matched with the motor type;
And inputting all target information into the food material weight parameter determination model to obtain an output result of the food material weight parameter determination model, and determining a weight parameter corresponding to the current food material according to the output result of the food material weight parameter determination model.
In this alternative embodiment, the determined weight parameter of the food material corresponds to different information tables for different motor types, so that the determined weight parameter corresponding to the current food material also varies. For example, if for an intelligent cooker, the table a is the table corresponding to the weight parameter of the food material matched with the low-power motor, and when the working current of the intelligent cooker is 1000mA during stir-frying of the meat chunk, it can be determined from the table a that the weight parameter of the food material matched with the working current of the intelligent cooker is 100g, that is, the meat chunk in stir-frying is 100g; on the other hand, the table B is the information table corresponding to the weight parameters of the food materials matched with the high-power motor, and when the working current of the intelligent cooking machine is 1000mA during stir-frying of the meat blocks, the table B can determine 120g of the weight parameters of the food materials matched with the working current of the intelligent cooking machine, namely 120g of the meat blocks during stir-frying. Similarly, the determined weight parameter determination model of the food material may be different for different motor types, so that the determined weight parameter corresponding to the current food material may be different. For example, for an intelligent chopper, a model A is determined by a weight parameter of food matched with a small deflection motor, and when the intelligent chopper chops meat, the running speed of the chopper is 20 revolutions per second, and at the moment, the running speed of the chopper is input into the model A for analysis, and then the weight parameter corresponding to the meat is determined to be 100g according to the analysis result; on the other hand, the weight parameter of the food material matched with the large deflection motor is determined to be a model B, and when the intelligent chopper chops the meat blocks, the running rotating speed of the chopper is 20 revolutions per second, and at the moment, after the running rotating speed of the chopper is input into the model B for analysis, the weight parameter corresponding to the meat blocks can be determined to be 120g according to the analysis result.
Therefore, according to the alternative embodiment, the weight parameters corresponding to the current food materials can be flexibly determined through the force parameters, the food material weight parameter corresponding information table and the food material weight parameter determining model formed by the analyzed current food materials on the processing tool, the intelligent determining mode of the food material weight determining device on the food material weight parameters is further enriched, the reliability and the accuracy of the determined food material weight parameters are improved, and therefore the follow-up intelligent kitchen electric energy can accurately process the current food materials and accurately cook the food materials.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent food weight determining device based on intelligent kitchen electricity according to an embodiment of the present invention. As shown in fig. 3, the intelligent food material weight determining device based on intelligent kitchen electricity may include:
The acquisition module 301 is configured to acquire at least one target information for determining a weight parameter corresponding to a current food material;
The first determining module 302 is configured to determine a weight parameter corresponding to the current food material according to all the target information.
In an embodiment of the present invention, optionally, all the target information includes at least one of a target electrical parameter of the smart kitchen electrical collected by the processing appliance of the smart kitchen electrical in the running state, a movement parameter of the processing appliance, and image data collected for the current food material.
Further optionally, all the target information includes at least one of a target electrical parameter of the intelligent kitchen electricity collected by the processing appliance of the intelligent kitchen electricity when the processing appliance is in an operating state and performs food processing operation in a target time period, a moving parameter of the processing appliance, and image data collected for a current food; and/or, the target electrical parameters of the intelligent kitchen electrical include current parameters; and/or the movement parameters of the treatment appliance comprise a movement rate and/or a movement direction.
Therefore, the intelligent food material weight determining device based on the intelligent kitchen electricity, which is described in the implementation of fig. 3, can quickly and accurately determine the weight of the food material without weighing the weight of the food material when the food material is in a static state, even if the food material is in a moving state, enriches the intelligent determining mode of the weight of the food material, is beneficial to improving the determining efficiency of the weight of the food material, thereby improving the processing efficiency and the cooking efficiency of the intelligent kitchen electricity to the food material, is beneficial to improving the determining reliability and the accuracy of the weight of the food material, ensures that the intelligent kitchen electricity can accurately process and cook the food material, and further improves the processing effect and the cooking effect of the intelligent kitchen electricity to the food material, thereby meeting the processing and cooking demands of users to the food material and improving the user viscosity of the intelligent kitchen electricity.
In an alternative embodiment, the apparatus may further include:
The second determining module 303 is configured to determine a motor type of a control motor corresponding to a processing appliance of the smart kitchen electric power before the first determining module 302 determines a weight parameter corresponding to a current food according to all the target information;
the first determining module 302 determines, according to all the target information, the weight parameters corresponding to the current food materials according to the following specific ways:
And determining weight parameters corresponding to the current food materials according to the motor type and all target information.
Therefore, the intelligent food material weight determining device based on the intelligent kitchen electricity, which is described in fig. 4, can combine the determined motor type and all the collected target information to determine the weight parameter corresponding to the current food material, enriches the intelligent determining mode of the food material weight determining device on the weight parameter of the food material, is beneficial to improving the reliability and the accuracy of the determined weight parameter of the food material, and further is beneficial to improving the processing and cooking accuracy of the follow-up intelligent kitchen electricity on the current food material, so that the processing and cooking effect of the intelligent kitchen electricity on the current food material are improved.
In another alternative embodiment, the first determining module 302 determines the weight parameter corresponding to the current food material according to the motor type and all the target information specifically as follows:
According to the type of the motor and all target information, analyzing force parameters formed by the current food materials on the processing tool when the processing tool of the intelligent kitchen electricity is in an operating state;
and determining a weight parameter corresponding to the current food material according to the force parameter formed by the current food material on the processing tool.
In this alternative embodiment, the force parameter comprises a resistance parameter.
Therefore, the intelligent food material weight determining device based on intelligent kitchen electricity, which is described in fig. 4, can determine the weight parameter corresponding to the current food material through the force parameter formed by the analyzed current food material to the processing tool, so that the intelligent determining mode of the food material weight determining device to the food material weight parameter is further enriched, the reliability and the accuracy of the determined food material weight parameter are improved, and the follow-up intelligent kitchen electricity can accurately process the current food material and accurately cook the food material.
In yet another alternative embodiment, the apparatus may further include:
a third determining module 304, configured to determine the target parameter of the current food material after the first determining module 302 determines the weight parameter corresponding to the current food material according to all the target information;
A judging module 305, configured to judge whether a correction operation is required to be performed on a weight parameter corresponding to the current food material according to the target parameter of the current food material;
and a correction module 306, configured to perform a correction operation on the weight parameter corresponding to the current food material when the determination result of the determination module 305 is yes.
In this alternative embodiment, the target parameter of the current food material includes at least one of a viscosity parameter of the current food material, a volume parameter of the current food material, a particle size parameter of the current food material, a hardness parameter of the current food material, and a flow condition of the current food material.
Therefore, the intelligent food material weight determining device based on the intelligent kitchen electricity described in fig. 4 can purposefully correct the weight parameter corresponding to the current food material through the target parameter of the current food material, enriches the intelligent processing mode of the food material weight determining device on the weight parameter of the food material, is beneficial to improving the reliability and the accuracy of the determined weight parameter corresponding to the current food material, and further is beneficial to accurately processing or cooking the food material by the intelligent kitchen electricity according to the corrected weight parameter, thereby being beneficial to ensuring the processing effect and the cooking effect of the intelligent kitchen electricity on the food material.
In yet another alternative embodiment, the determining module 305 determines, according to the target parameter of the current food material, whether the correction operation needs to be performed on the weight parameter corresponding to the current food material specifically includes:
according to the target parameters of the current food materials, analyzing the target conditions of the current food materials on the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in an operating state;
Determining influence relevance of the target condition on all target information, and judging whether the influence relevance is greater than or equal to a preset influence relevance threshold;
And when the judgment result is yes, determining that the correction operation needs to be executed on the weight parameter corresponding to the current food material.
Therefore, the intelligent food material weight determining device based on the intelligent kitchen electricity described in fig. 4 can conduct targeted correction and judgment on the weight parameter corresponding to the current food material through the target condition formed by the current food material on the intelligent kitchen electricity, enriches the intelligent correction and judgment mode of the food material weight determining device on the weight parameter of the food material, and is beneficial to improving the correction reliability and correction accuracy of the weight parameter corresponding to the current food material so as to ensure the reliability and accuracy of the corrected weight parameter corresponding to the current food material.
Example IV
Referring to fig. 5, fig. 5 is a schematic structural diagram of another intelligent food weight determining device based on intelligent kitchen electricity according to an embodiment of the present invention. As shown in fig. 5, the intelligent food material weight determining device based on intelligent kitchen electricity may include:
a memory 401 storing executable program codes;
a processor 402 coupled with the memory 401;
the processor 402 invokes executable program codes stored in the memory 401 to execute the steps in the intelligent food weight determining method based on intelligent kitchen electricity described in the first embodiment or the second embodiment of the present invention.
Example five
The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing the steps in the intelligent food weight determining method based on intelligent kitchen electricity described in the first embodiment or the second embodiment of the invention when the computer instructions are called.
Example six
An embodiment of the present 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 intelligent food weight determining method based on intelligent kitchen electricity described in the first embodiment or the second embodiment.
The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (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 (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses an intelligent food weight determining method and device based on intelligent kitchen electricity, which are disclosed as a preferred embodiment of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (8)

1. An intelligent food material weight determining method based on intelligent kitchen electricity is characterized by comprising the following steps:
collecting a plurality of target information for determining weight parameters corresponding to the current food materials; the target information comprises target electric parameters of the intelligent kitchen electricity, moving parameters of the processing tool and image data acquired for the current food, wherein the target electric parameters of the intelligent kitchen electricity are acquired by the processing tool of the intelligent kitchen electricity when the processing tool is in an operating state, and the target electric parameters of the intelligent kitchen electricity comprise current parameters;
Determining weight parameters corresponding to the current food materials according to all the target information;
And before determining the weight parameter corresponding to the current food material according to all the target information, the method further comprises:
determining the motor type of a control motor corresponding to the intelligent kitchen electricity treatment appliance;
wherein, the determining the weight parameter corresponding to the current food material according to all the target information includes:
According to the motor type and all the target information, analyzing force parameters formed by the current food materials on the processing tool when the processing tool of the intelligent kitchen electricity is in an operating state; the force parameter includes a resistance parameter;
and determining a weight parameter corresponding to the current food material according to the force parameter formed by the current food material on the processing tool.
2. The intelligent kitchen electricity-based food material weight determining method according to claim 1, wherein after determining the weight parameter corresponding to the current food material according to all the target information, the method further comprises:
Determining target parameters of the current food materials, and judging whether to execute correction operation on weight parameters corresponding to the current food materials according to the target parameters of the current food materials;
And when the judgment result is yes, executing correction operation on the weight parameter corresponding to the current food material.
3. The intelligent kitchen electricity-based food material weight determining method according to claim 2, wherein the determining whether the correction operation is required for the weight parameter corresponding to the current food material according to the target parameter of the current food material comprises:
According to the target parameters of the current food, analyzing the target condition of the current food on the intelligent kitchen electricity when the processing tool of the intelligent kitchen electricity is in an operating state;
Determining influence relevance of the target condition on all the target information, and judging whether the influence relevance is greater than or equal to a preset influence relevance threshold;
And when the judgment result is yes, determining that the correction operation needs to be executed on the weight parameter corresponding to the current food material.
4. A method for intelligently determining the weight of a food material based on intelligent kitchen electricity as set forth in claim 3, wherein the target parameter of the current food material includes at least one of a viscosity parameter of the current food material, a volume parameter of the current food material, a particle size parameter of the current food material, a hardness parameter of the current food material, and a flow condition of the current food material.
5. The intelligent kitchen electricity-based food weight determining method according to claim 1, wherein all the target information includes a target electric parameter of the intelligent kitchen electricity acquired by a processing appliance of the intelligent kitchen electricity when the processing appliance is in an operating state and performs a food material processing operation in a target period of time, a movement parameter of the processing appliance, and image data acquired for the current food material; and/or the number of the groups of groups,
The movement parameters of the treatment appliance include a movement rate and/or a movement direction.
6. Food weight intelligence determining means based on intelligence kitchen electricity, its characterized in that, the device includes:
the acquisition module is used for acquiring a plurality of target information for determining weight parameters corresponding to the current food materials; the target information comprises target electric parameters of the intelligent kitchen electricity, moving parameters of the processing tool and image data acquired for the current food, wherein the target electric parameters of the intelligent kitchen electricity are acquired by the processing tool of the intelligent kitchen electricity when the processing tool is in an operating state, and the target electric parameters of the intelligent kitchen electricity comprise current parameters;
the first determining module is used for determining weight parameters corresponding to the current food materials according to all the target information;
And, the apparatus further comprises:
The second determining module is used for determining the motor type of the control motor corresponding to the intelligent kitchen electricity processing appliance before the first determining module determines the weight parameter corresponding to the current food material according to all the target information;
The first determining module determines the weight parameter corresponding to the current food material according to all the target information in the following specific ways:
According to the motor type and all the target information, analyzing force parameters formed by the current food materials on the processing tool when the processing tool of the intelligent kitchen electricity is in an operating state; the force parameter includes a resistance parameter;
and determining a weight parameter corresponding to the current food material according to the force parameter formed by the current food material on the processing tool.
7. Food weight intelligence determining means based on intelligence kitchen electricity, its characterized in that, the device includes:
a memory storing executable program code;
A processor coupled to the memory;
The processor invokes the executable program code stored in the memory to perform the smart food weight determination method based on smart kitchen electricity as claimed in any one of claims 1-5.
8. A computer storage medium storing computer instructions for performing the intelligent kitchen electricity-based food weight determination method according to any one of claims 1-5 when called.
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