CN111290352A - Baking control method and related product - Google Patents
Baking control method and related product Download PDFInfo
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- CN111290352A CN111290352A CN202010076789.4A CN202010076789A CN111290352A CN 111290352 A CN111290352 A CN 111290352A CN 202010076789 A CN202010076789 A CN 202010076789A CN 111290352 A CN111290352 A CN 111290352A
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- 235000013305 food Nutrition 0.000 claims abstract description 279
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- 238000013507 mapping Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 10
- 239000004615 ingredient Substances 0.000 claims description 7
- 230000002349 favourable effect Effects 0.000 abstract description 32
- 238000010586 diagram Methods 0.000 description 7
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- 238000006243 chemical reaction Methods 0.000 description 6
- 238000013473 artificial intelligence Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 239000004278 EU approved seasoning Substances 0.000 description 3
- 241000287828 Gallus gallus Species 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 235000011194 food seasoning agent Nutrition 0.000 description 3
- 235000015278 beef Nutrition 0.000 description 2
- 238000005192 partition Methods 0.000 description 2
- 230000001680 brushing effect Effects 0.000 description 1
- 150000001720 carbohydrates Chemical class 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
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- 235000013372 meat Nutrition 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J37/00—Baking; Roasting; Grilling; Frying
- A47J37/06—Roasters; Grills; Sandwich grills
- A47J37/0623—Small-size cooking ovens, i.e. defining an at least partially closed cooking cavity
- A47J37/0629—Small-size cooking ovens, i.e. defining an at least partially closed cooking cavity with electric heating elements
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2643—Oven, cooking
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Abstract
The embodiment of the application discloses a baking control method and a related product, which are applied to an intelligent oven, wherein the intelligent oven comprises a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy so as to achieve the purpose of baking the food materials to be baked; corresponding baking strategy is formulated through obtaining food material information, control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamic adjustment cure the strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively that the control of curing temperature and time is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
Description
Technical Field
The application relates to the technical field of intelligent ovens, in particular to a baking control method and a related product.
Background
At present, the intelligent culinary art procedure of current oven can be according to eating the material kind, carry out different settlement to the time and the temperature of toasting, the toast time and the toast problem of setting for in this kind of intelligent culinary art procedure, to a certain kind of edible material, go on based on standard specification, however in actual toast process, the edible material kind and the size difference of putting into the oven at every turn are all great, if when toasting multiple different food, can only set up a time, can lead to toasting the effect not good like this, influence the taste of food, user experience is relatively poor, it lacks the intellectuality to toast control.
Disclosure of Invention
The embodiment of the application provides a baking control method and a related product, so that the high efficiency and convenience of baking control are improved.
In a first aspect, an embodiment of the present application provides a baking control method, which is applied to a smart oven, where the smart oven includes; the method comprises the following steps:
the method comprises the steps that a sensor detects food materials to be baked to obtain food material information of the food materials to be baked;
the sensor determines a baking strategy according to the food material information;
and the sensor controls the intelligent oven according to the baking strategy so as to bake the food materials to be baked.
In a second aspect, an embodiment of the present application provides a baking control device, which is applied to a smart oven, where the smart oven includes; the roasting control device comprises a processing unit, a communication unit and a storage unit, wherein,
the processing unit is used for detecting the food materials to be baked by the sensor and acquiring the food material information of the food materials to be baked; and the sensor is used for determining a baking strategy according to the food material information; and the sensor is used for controlling the intelligent oven according to the baking strategy so as to bake the food to be baked.
In a third aspect, embodiments of the present application provide a smart oven, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the steps of any of the methods of the first aspect of the embodiments of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods in the second aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps described in any one of the methods of the second aspect of the present application. The computer program product may be a software installation package.
It can be seen that in the embodiments of the present application, a baking control method and related products are provided, which are applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy, so that the aim of baking the food materials to be baked is fulfilled; it can be seen that corresponding baking strategy is formulated through obtaining food material information, and control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamically adjust the baking strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively controlling the baking temperature and time, is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic block diagram illustrating a baking control method according to an embodiment of the present disclosure;
FIG. 1B is a schematic structural diagram of a sensor provided in an embodiment of the present application;
fig. 2A is a schematic flow chart of a baking control method according to an embodiment of the present application;
fig. 2B is a schematic diagram of a scenario for determining a baking strategy according to an embodiment of the present application;
fig. 2C is a schematic view of a scenario of a baking control method provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart of another baking control method provided in the embodiments of the present application;
FIG. 4 is a schematic flow chart of another baking control method provided in the embodiments of the present application;
fig. 5 is a schematic structural diagram of a smart oven provided in an embodiment of the present application;
fig. 6 is a block diagram of functional units of a baking control device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase 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. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The intelligent oven that this application embodiment related to can include desktop oven and embedded oven, processor and memory in the intelligent oven can be integrated in the smart sensor, and communication interface is used for communicating with the smart sensor to and with high in the clouds, user terminal communication etc..
In the traditional computer vision technology, information is acquired by a sensor and then is sent to a background for processing, a signal processing module is used for carrying out effect processing, and the information is transmitted to a computer vision module from the signal processing module for processing. The sensor device provided by the application is the combination of a sensor and a computer vision module, the sensor device directly and locally performs data processing, namely the sensor device performs data acquisition and analysis processing to obtain an identification result, and performs specific control based on the identification result, and an internal algorithm of the sensor device can be updated and optimized through a platform. The overall architecture of the present application is shown in fig. 1A.
The sensor equipment can acquire the information of a specific target through the information acquisition module, and the information acquired by the information acquisition module is transmitted to the sensor/computer vision module; the sensor/computer vision module may process the information and then perform a series of specific operations based on the processing results. In addition, the sensor device can also transmit the acquired original information or the information processed by the sensor/computer vision module to the background, and the background further processes the received data (effect processing).
As shown in fig. 1B, the sensor includes an information acquisition module, a front-end processing module and a computer vision chip, the front-end processing module includes at least one sensor unit, an analog signal processing circuit and an analog-to-digital conversion circuit; the computer vision chip includes a digital signal processor and at least one artificial intelligence processor.
The at least one sensor unit is connected with the analog signal processing circuit and used for receiving a measuring signal (namely, information acquired by the information acquisition module), converting the measuring signal into an electric signal and transmitting the electric signal to the analog signal processing circuit.
The analog signal processing circuit is connected with the analog-to-digital conversion circuit and used for processing the analog signal of the electric signal and transmitting the analog processing result to the analog-to-digital conversion circuit.
The analog-to-digital conversion circuit is used for converting the analog processing result into a digital signal and outputting the digital signal.
The digital signal processor is used for performing digital signal processing according to the electric signal generated by the front-end processing module and outputting a digital signal processing result.
The memory is used for storing the digital signal processing result and comprises a sharing area and n exclusive areas.
The shared area is used for storing various types of information (for different application scenarios, different information needs to be collected for control of different devices for specific processing) that need specific signal processing (for example, format conversion, effect processing). For example, taking image information as an example, the sensor device may include a pixel unit array (i.e., a signal acquisition module), an analog signal processing circuit, an analog-to-digital conversion circuit, a control circuit, an interface circuit, and the like. The external light irradiates the pixel unit array to generate a photoelectric effect, corresponding charges are generated in the pixel unit array, namely the image sensing unit acquires an optical signal, the optical signal is converted into an electric signal, the electric signal is subjected to analog signal processing, an analog processing result is converted into a digital signal under the control of the clock circuit, and the control circuit controls the digital signal to transmit the digital signal to a shared area of the memory through the interface circuit.
The exclusive area is used for storing specific information, and the specific information may include information of a specific target (for example, for different targets, when a specific device to be controlled is controlled, there is a specific differential control), and information of a specific type (for example, some collected information is special, and it is not necessary to perform front-end processing, and it can be used directly by an artificial intelligence processor). (in the specific application, the exclusive corresponding relation between the exclusive area and the artificial intelligence processor can be designed).
The artificial intelligence processor is used for acquiring specific information or digital signal processing results from the memory and executing corresponding artificial intelligence processing operation according to the specific information or digital signal processing results.
The following describes embodiments of the present application in detail.
Referring to fig. 2A, fig. 2A is a schematic flowchart illustrating a baking control method according to an embodiment of the present application, which is applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps:
s201, detecting food materials to be baked by a sensor to acquire food material information of the food materials to be baked;
the method comprises the steps that the sensor detects food materials to be baked, wherein the step that the sensor detects the food materials to be baked in the intelligent oven after receiving a starting request of the intelligent oven; and/or when the sensor detects that a cabin door of the intelligent oven is closed, detecting food materials to be baked in the intelligent oven; and/or when the sensor receives the reserved use time of the intelligent oven and the reserved time is reached, detecting the food materials to be baked in the intelligent oven.
The food material information comprises food material type, volume information and density information of each food material to be baked.
S202, the sensor determines a baking strategy according to the food material information;
the baking strategy comprises controlling the baking temperature and the baking time of the intelligent oven, and controlling the area baking temperature of the intelligent oven in a partitioning mode according to the food material information corresponding to each food material to be baked.
The baking strategy comprises the step of determining and adjusting the real-time position of the food material to be baked according to the baking position information of the food materials to be baked.
And after the baking strategy is determined, dynamically adjusting the baking strategy according to the real-time state information of the food material to be baked.
S203, the sensor controls the intelligent oven according to the baking strategy so as to bake the food materials to be baked.
The step of baking the food material to be baked comprises the steps that the sensor detects real-time state information of the food material to be baked, the real-time state information is sent to a preset intelligent device, and the current baking temperature and the residual baking time are adjusted in real time.
It can be seen that in the embodiments of the present application, a baking control method and related products are provided, which are applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy, so that the aim of baking the food materials to be baked is fulfilled; it can be seen that corresponding baking strategy is formulated through obtaining food material information, and control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamically adjust the baking strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively controlling the baking temperature and time, is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
In one possible example, the sensor detects a food material to be baked, and acquires food material information of the food material to be baked, including: the sensor detects food materials to be baked in the intelligent oven, and determines the food material type, volume information and density information of each food material to be baked; the sensor determines the ingredient information of each food material to be baked according to the food material types; the sensor queries a first mapping relation according to the volume information, the density information and the composition information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the composition information.
Wherein the first mapping is a mapping between the volume information, the density information, the composition information, the baking temperature range, and the baking time range.
Specifically, the food material to be baked is meat, the volume is 243 cubic centimeters, the density information is 0.975 g/cubic centimeter, the ingredient information comprises protein, fat and carbohydrate, the baking temperature range is determined to be between 150 and 200 ℃, the baking time range is determined to be between 15 and 20 minutes, the baking temperature and the baking time have a corresponding relation, and the higher the baking temperature is, the shorter the baking time is.
In the specific implementation, a sensor detects that two food materials to be baked exist in an intelligent oven, determines the food material type, the volume information and the density information of each food material to be baked, determines the component information of each food material to be baked according to the food material type, then queries a first mapping relation according to the volume information, the density information and the component information, and determines the baking temperature range of each food material to be baked and the baking time range of each food material to be baked, which correspond to the volume information, the density information and the component information.
In this example, it can be seen that, the sensor detects food materials to be baked in the smart oven, determines a food material type, volume information and density information of each food material to be baked, then the sensor determines component information of each food material to be baked according to the food material type, then the sensor queries a first mapping relation according to the volume information, the density information and the component information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the component information; the method is favorable for determining a proper baking strategy according to the food material baking temperature and the baking range, and is favorable for improving the accuracy and the efficiency of baking control.
In one possible example, the sensor determines a roasting strategy according to the food material information, comprising: the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked; the sensor sends the recipe to be baked to first preset equipment, and the recipe to be baked is used for the first preset equipment to determine a target baking recipe; the sensor receives the target baking recipe sent by the first preset device; the sensor determines a roasting strategy from the target roasting recipe.
Wherein the recipe database comprises pre-entered baking recipes, and/or baking recipes generated from historical baking data.
The sensor can identify the person information of a user, the person information is sent to the first preset device, the person information can be used for further narrowing the temperature range and the time range on the basis of determining the food material information, and finally the proper baking temperature and the proper baking time are determined according to the age of the user.
The first preset device comprises a mobile phone, a tablet and a computer, and is used for indicating a user to perform control operation to determine a target baking recipe.
Specifically, the mobile phone device of the user receives pending baking recipes K1, K2 and K3, and the user actively selects K2 as a target baking recipe; when the user receives K1, K2, and K3, the predicted baking time, calorie energy information, and suitable consumer age range information of K1, K2, and K3 are also included to better assist the user in selecting a target baking recipe.
In a specific implementation, as shown in fig. 2B, the sensor X queries a preset recipe database according to the food material information to obtain pending baking recipes L1 and L2, sends the pending baking recipes L1 and L2 and related information to the computer Y of the user, the user checks L1 and L2 displayed on the computer, and the predicted baking time, calorie energy information and age range information of suitable eaters of the L1 and L2, and determines that the target baking recipe is L2; the sensor receives the target baking recipe L2 sent from the user's computer; the sensor determines a roasting strategy from the target roasting recipe.
In this example, the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked, then the sensor sends the recipe to be baked to a first preset device, the recipe to be baked is used for the first preset device to determine a target baking recipe, then the sensor receives the target baking recipe sent by the first preset device, and finally the sensor determines a baking strategy according to the target baking recipe; the method is beneficial to improving the high efficiency and the accuracy of the baking strategy determination, and further is beneficial to improving the high efficiency of the baking control.
In one possible example, after the sensor queries a preset recipe database according to the food material information and obtains at least one recipe to be baked, the method further includes: the sensor determines that a plurality of recipes to be baked exist, and historical baking information is obtained; the sensor determines the occurrence time and the occurrence frequency of each recipe to be baked in the historical baking information according to the historical baking information; the sensor determines a target baking recipe according to the occurrence time and the occurrence frequency; the sensor determines a roasting strategy from the target roasting recipe.
And determining a target baking recipe according to the occurrence time and the occurrence frequency, wherein the step of selecting the undetermined baking recipe appearing in the first time range as the target baking recipe, or selecting the undetermined baking recipe with the highest occurrence frequency as the target baking recipe.
In a specific implementation, the sensor determines that a plurality of pending baking recipes M1, M2, M3 and M4 exist, historical baking information is acquired, the sensor determines that M1 appears 3 times in the historical baking information in the last seven days, M2 appears 0 times in the last seven days and 12 times in the last month in the historical baking information, M3 appears 5 times in the historical baking information in the last seven days, and M4 appears 2 times in the last seven days and 9 times in the last month in the historical baking information according to the historical baking information, the sensor determines a target baking recipe as M4 according to the time and frequency, and the sensor determines a baking strategy according to the target baking recipe M4.
In this example, it can be seen that the sensor determines that a plurality of recipes to be baked exist, obtains historical baking information, determines, according to the historical baking information, occurrence time and occurrence frequency of each recipe to be baked in the plurality of recipes to be baked in the historical baking information, determines, according to the occurrence time and the occurrence frequency, a target baking recipe, and determines a baking strategy according to the target baking recipe; the method is favorable for optimizing the determination method of the target baking recipe, and the accuracy of determining the target baking recipe is improved.
In one possible example, the sensor determines a roasting strategy from the target roasting recipe, comprising: the sensor determines a first food material and a second food material according to the target baking recipe and the food material information; the sensor acquires a first baking temperature and a first baking time of the first food material; the sensor predicts second food material information for the second food material after the first baking time at the first baking temperature; the sensor determines a second baking temperature and a second baking time of the second food material according to the second food material information and the target baking recipe; the sensor determines a baking strategy for the first and second food materials.
The food materials of the first food material and the second food material are different in type, and the baking time range of the first food material is smaller than or equal to the baking time range of the second food material.
Wherein the second baking time comprises a time required for baking at the second baking temperature after the first baking time.
Wherein the second food material information comprises a moisture content and a baking completion degree of the second food material after the first baking time at the first baking temperature.
In a specific implementation, the sensor determines a first food material G1 and a second food material G2 according to the target baking recipe and the food material information, obtains a first baking temperature of 150 degrees and a first baking time of 10 minutes for the first food material G1, then predicts a second food material information moisture loss of 20% and a baking completion of 60% after 10 minutes of the second food material at 150 degrees, determines a second baking temperature of 80 degrees and a second baking time of 5 minutes for the second food material according to the second food material information and the target baking recipe, determines a baking strategy for the first food material and the second food material, and when executing the baking strategy, first uses 150 degrees to bake 10 minutes, then takes out the first food material G1, and uses 80 degrees for second food material G2 to bake for 5 minutes.
In this example, it can be seen that, the sensor determines a first food material and a second food material according to the target baking recipe and the food material information, then the sensor obtains a first baking temperature and a first baking time of the first food material, the sensor predicts second food material information of the second food material after the first baking time at the first baking temperature, then the sensor determines a second baking temperature and a second baking time of the second food material according to the second food material information and the target baking recipe, and according to the above information, the sensor determines a baking strategy for the first food material and the second food material; the individual baking strategy of each food material is refined under the condition that different food materials exist simultaneously, and the accuracy and flexibility of the determination of the baking strategies are improved.
In one possible example, the sensor determines a roasting strategy from the target roasting recipe, comprising: the sensor determines a first baking strategy according to the target baking recipe and the food material information; the sensor acquires baking position information of the food material to be baked; the sensor determines the real-time baking temperature of the intelligent oven according to the first baking strategy; and the sensor determines a second baking strategy according to the baking position information and the real-time baking temperature.
The baking position information comprises temperature partitions of the intelligent oven, the food material to be baked is located in any temperature partition of the intelligent oven, and the upper surface temperature and the lower surface temperature of the food material to be baked are determined according to the baking position information.
Wherein the baking position information comprises relative position information between a plurality of food materials to be baked.
In specific implementation, as shown in fig. 2C, a food material E and a food material F are placed in an oven R, a sensor J of the oven R determines a first baking strategy "baking the food material E and the food material F at a high temperature for 10 minutes" according to the target baking recipe "baking time is 20 minutes, whole food material E is baked at a high temperature, one side of the food material F is baked at a low temperature, the other side of the food material F is baked at a high temperature" and the food material information; the sensor acquires baking position information of the food material to be baked, namely that the food material E is positioned above the food material F; the sensor determines that the real-time baking temperature of the intelligent oven is 170 ℃ according to the first baking strategy, and the sensor determines a second baking strategy that the positions of the food material E and the food material F are interchanged, the food material F is turned over, and the high-temperature baking is continued for 10 minutes according to the baking position information and the real-time baking temperature.
In this example, it can be seen that the sensor determines a first baking strategy according to the target baking recipe and the food material information, the sensor acquires baking position information of the food material to be baked, the sensor determines a real-time baking temperature of the smart oven according to the first baking strategy, and the sensor determines a second baking strategy according to the baking position information and the real-time baking temperature; the intelligent baking requirement under various conditions is favorably met, and the high efficiency and the convenience of baking control are favorably improved.
In one possible example, when the sensor controls the smart oven according to the baking policy to bake the food material to be baked, the method further includes: the sensor sends real-time baking information to second preset equipment; and receiving a real-time baking control instruction from the second preset device, and baking the food material to be baked.
The real-time baking control instruction can be generated through intelligent analysis of the second preset device according to the real-time baking information.
The second preset device comprises an intelligent bracelet, a mobile phone and a computer.
When the intelligent oven is baked, only seasonings required during baking can be placed in a material box of the intelligent oven, and different seasonings are added at different time intervals during baking.
Specifically, when the chicken wings are baked, the seasonings can be automatically added when the chicken wings are baked to 50 degrees, and when the chicken wings are baked to 60 degrees, the oil brushing operation is performed.
Wherein, when the intelligent oven is baking, the sensor can communicate with the user terminal, the temperature data and the moisture data in the baking process are sent to the terminal, and the user can remotely control the oven according to the temperature data and the moisture data.
Specifically, in baking beef, when the temperature reaches 50 degrees, the user prefers to be well done, feels that baking is not to be continued, and the baking operation may be interrupted in advance.
Specifically, when the moisture content is less than 2% when beef is roasted, the user feels that the moisture content is less, and the watering operation can be remotely controlled.
When the intelligent oven is used for baking, data interaction can be carried out between the intelligent oven and the cloud end through the sensor, the cloud end can carry out intelligent learning according to the data baked each time, the algorithm is optimized, and the personalized baking strategy which accords with the oven user is obtained.
Specifically, the user terminates the baking each time the baking is to 50 degrees, then the oven may change the original strategy of stopping the baking to 60 degrees to 50 degrees.
In this example, it can be seen that the sensor sends real-time baking information to the second preset device; receiving a real-time baking control instruction from the second preset device, and baking the food material to be baked; the intelligent degree of baking control can be optimized, and the high efficiency and convenience of baking control can be improved.
Referring to fig. 3, in accordance with the embodiment shown in fig. 2A, fig. 3 is a schematic flowchart of another baking control method provided in the embodiment of the present application, which is applied to a smart oven, where the smart oven includes a sensor; as shown in the figure, the baking control method includes:
s301, detecting food materials to be baked in the intelligent oven by the sensor, and determining the food material type, volume information and density information of each food material to be baked;
s302, determining the ingredient information of each food material to be baked according to the food material types by the sensor;
s303, the sensor inquires a first mapping relation according to the volume information, the density information and the component information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the component information;
s304, the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked;
s305, the sensor sends the recipe to be baked to first preset equipment, and the recipe to be baked is used for the first preset equipment to determine a target baking recipe;
s306, the sensor receives the target baking recipe sent by the first preset device;
s307, the sensor determines a baking strategy according to the target baking recipe;
s308, the sensor controls the intelligent oven according to the baking strategy so as to bake the food materials to be baked.
It can be seen that in the embodiments of the present application, a baking control method and related products are provided, which are applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy, so that the aim of baking the food materials to be baked is fulfilled; it can be seen that corresponding baking strategy is formulated through obtaining food material information, and control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamically adjust the baking strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively controlling the baking temperature and time, is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
In addition, the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked, then the sensor sends the recipe to be baked to first preset equipment, the recipe to be baked is used for the first preset equipment to determine a target baking recipe, then the sensor receives the target baking recipe sent by the first preset equipment, and finally the sensor determines a baking strategy according to the target baking recipe; the method is beneficial to improving the high efficiency and the accuracy of the baking strategy determination, and further is beneficial to improving the high efficiency of the baking control.
Referring to fig. 4, in accordance with the embodiment shown in fig. 2A, fig. 4 is a schematic flowchart of another baking control method provided in the embodiment of the present application, which is applied to a smart oven, where the smart oven includes a sensor; as shown in the figure, the baking control method includes:
s401, detecting food materials to be baked in the intelligent oven by the sensor, and determining the food material type, volume information and density information of each food material to be baked;
s402, determining the ingredient information of each food material to be baked by the sensor according to the food material types;
s403, the sensor inquires a first mapping relation according to the volume information, the density information and the component information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the component information;
s404, the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked;
s405, the sensor determines that a plurality of recipes to be baked exist, and historical baking information is obtained;
s406, the sensor determines the occurrence time and the occurrence frequency of each recipe to be baked in the plurality of recipes to be baked in the historical baking information according to the historical baking information;
s407, determining a target baking recipe according to the occurrence time and the occurrence frequency by the sensor;
s408, determining a baking strategy by the sensor according to the target baking recipe;
s409, the sensor controls the intelligent oven according to the baking strategy so as to bake the food materials to be baked.
It can be seen that in the embodiments of the present application, a baking control method and related products are provided, which are applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy, so that the aim of baking the food materials to be baked is fulfilled; it can be seen that corresponding baking strategy is formulated through obtaining food material information, and control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamically adjust the baking strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively controlling the baking temperature and time, is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
In addition, the sensor determines that a plurality of recipes to be baked exist, historical baking information is obtained, the sensor determines the occurrence time and the occurrence frequency of each recipe to be baked in the plurality of recipes to be baked in the historical baking information according to the historical baking information, the sensor determines a target baking recipe according to the occurrence time and the occurrence frequency, and the sensor determines a baking strategy according to the target baking recipe; the method is favorable for optimizing the determination method of the target baking recipe, and the accuracy of determining the target baking recipe is improved.
In accordance with the embodiments shown in fig. 2A, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of a smart oven 500 according to an embodiment of the present application, as shown in the figure, the smart oven 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for performing the following steps;
the method comprises the steps that a sensor detects food materials to be baked to obtain food material information of the food materials to be baked;
the sensor determines a baking strategy according to the food material information;
and the sensor controls the intelligent oven according to the baking strategy so as to bake the food materials to be baked.
It can be seen that in the embodiments of the present application, a baking control method and related products are provided, which are applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy, so that the aim of baking the food materials to be baked is fulfilled; it can be seen that corresponding baking strategy is formulated through obtaining food material information, and control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamically adjust the baking strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively controlling the baking temperature and time, is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
In one possible example, the sensor detects a food material to be baked, and obtains food material information of the food material to be baked, and the instructions in the program are specifically configured to perform the following operations: the sensor detects food materials to be baked in the intelligent oven, and determines the food material type, volume information and density information of each food material to be baked; the sensor determines the ingredient information of each food material to be baked according to the food material types; the sensor inquires a first mapping relation according to the volume information, the density information and the component information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the component information, wherein the first mapping relation is the mapping relation among the volume information, the density information, the component information, the baking temperature range and the baking time range.
In one possible example, the sensor determines a roasting strategy from the food material information, and the instructions in the program are specifically configured to: the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked; the sensor sends the recipe to be baked to first preset equipment, and the recipe to be baked is used for the first preset equipment to determine a target baking recipe; the sensor receives the target baking recipe sent by the first preset device; the sensor determines a roasting strategy from the target roasting recipe.
In a possible example, the sensor queries a preset recipe database according to the food material information, and after at least one recipe to be baked is obtained, the instructions in the program are specifically configured to perform the following operations: the sensor determines that a plurality of recipes to be baked exist, and historical baking information is obtained; the sensor determines the occurrence time and the occurrence frequency of each recipe to be baked in the historical baking information according to the historical baking information; the sensor determines a target baking recipe according to the occurrence time and the occurrence frequency; the sensor determines a roasting strategy from the target roasting recipe.
In one possible example, the sensor determines a roasting strategy from the target roasting recipe, the instructions in the program being specifically configured to: the sensor determines a first food material and a second food material according to the target baking recipe and the food material information; the sensor acquires a first baking temperature and a first baking time of the first food material; the sensor predicts second food material information for the second food material after the first baking time at the first baking temperature; the sensor determines a second baking temperature and a second baking time of the second food material according to the second food material information and the target baking recipe; the sensor determines a baking strategy for the first and second food materials.
In one possible example, the sensor determines a roasting strategy from the target roasting recipe, the instructions in the program being specifically configured to: the sensor determines a first baking strategy according to the target baking recipe and the food material information; the sensor acquires baking position information of the food material to be baked; the sensor determines the real-time baking temperature of the intelligent oven according to the first baking strategy; and the sensor determines a second baking strategy according to the baking position information and the real-time baking temperature.
In one possible example, when the sensor controls the smart oven according to the baking policy to bake the food material to be baked, the instructions in the program are specifically configured to: the sensor sends real-time baking information to second preset equipment; and receiving a real-time baking control instruction from the second preset device, and baking the food material to be baked, wherein the real-time baking control instruction can be generated through intelligent analysis of the second preset device according to the real-time baking information.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the smart oven includes corresponding hardware structures and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the intelligent oven may be divided into the functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a block diagram showing functional units of a roasting control apparatus 600 according to an embodiment of the present application. The baking control device 600 is applied to a smart oven comprising sensors, the baking control device comprises a processing unit 601, a communication unit 602 and a storage unit 603, wherein,
the processing unit 601 is configured to detect a food material to be baked by the sensor, and acquire food material information of the food material to be baked; and the sensor is used for determining a baking strategy according to the food material information; and the sensor is used for controlling the intelligent oven according to the baking strategy so as to bake the food to be baked.
It can be seen that in the embodiments of the present application, a baking control method and related products are provided, which are applied to a smart oven, where the smart oven includes a sensor; the method comprises the following steps: the method comprises the steps that a sensor detects food materials to be baked, food material information of the food materials to be baked is obtained, then the sensor determines a baking strategy according to the food material information, and then the sensor controls an intelligent oven according to the baking strategy, so that the aim of baking the food materials to be baked is fulfilled; it can be seen that corresponding baking strategy is formulated through obtaining food material information, and control the intelligent oven cures, is favorable to realizing that the intelligence of food cures, can dynamically adjust the baking strategy simultaneously at the in-process that cures, is favorable to realizing more accurately effectively controlling the baking temperature and time, is favorable to improving the user demand who satisfies user's variety, is favorable to optimizing user's use and experiences.
It can be understood that, since the method embodiment and the apparatus embodiment are different presentation forms of the same technical concept, the content of the method embodiment portion in the present application should be synchronously adapted to the apparatus embodiment portion, and is not described herein again.
In one possible example, the sensor detects a food material to be baked, and obtains food material information of the food material to be baked, and the processing unit 601 is specifically configured to: the sensor detects food materials to be baked in the intelligent oven, and determines the food material type, volume information and density information of each food material to be baked; the sensor determines the ingredient information of each food material to be baked according to the food material types; the sensor inquires a first mapping relation according to the volume information, the density information and the component information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the component information, wherein the first mapping relation is the mapping relation among the volume information, the density information, the component information, the baking temperature range and the baking time range.
In a possible example, the sensor determines a baking strategy according to the food material information, and the processing unit 601 is specifically configured to: the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked; the sensor sends the recipe to be baked to first preset equipment, and the recipe to be baked is used for the first preset equipment to determine a target baking recipe; the sensor receives the target baking recipe sent by the first preset device; the sensor determines a roasting strategy from the target roasting recipe.
In a possible example, the sensor queries a preset recipe database according to the food material information, and after obtaining at least one recipe to be baked, the processing unit 601 is specifically configured to: the sensor determines that a plurality of recipes to be baked exist, and historical baking information is obtained; the sensor determines the occurrence time and the occurrence frequency of each recipe to be baked in the historical baking information according to the historical baking information; the sensor determines a target baking recipe according to the occurrence time and the occurrence frequency; the sensor determines a roasting strategy from the target roasting recipe.
In one possible example, the sensor determines a roasting strategy from the target roasting recipe, and the processing unit 601 is specifically configured to: the sensor determines a first food material and a second food material according to the target baking recipe and the food material information; the sensor acquires a first baking temperature and a first baking time of the first food material; the sensor predicts second food material information for the second food material after the first baking time at the first baking temperature; the sensor determines a second baking temperature and a second baking time of the second food material according to the second food material information and the target baking recipe; the sensor determines a baking strategy for the first and second food materials.
In one possible example, the sensor determines a roasting strategy from the target roasting recipe, and the processing unit 601 is specifically configured to: the sensor determines a first baking strategy according to the target baking recipe and the food material information; the sensor acquires baking position information of the food material to be baked; the sensor determines the real-time baking temperature of the intelligent oven according to the first baking strategy; and the sensor determines a second baking strategy according to the baking position information and the real-time baking temperature.
In a possible example, when the sensor controls the smart oven according to the baking policy to bake the food material to be baked, the processing unit 601 is specifically configured to: the sensor sends real-time baking information to second preset equipment; and receiving a real-time baking control instruction from the second preset device, and baking the food material to be baked, wherein the real-time baking control instruction can be generated through intelligent analysis of the second preset device according to the real-time baking information.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. The baking control method is characterized by being applied to a smart oven, wherein the smart oven comprises a sensor; the method comprises the following steps:
the method comprises the steps that a sensor detects food materials to be baked to obtain food material information of the food materials to be baked;
the sensor determines a baking strategy according to the food material information;
and the sensor controls the intelligent oven according to the baking strategy so as to bake the food materials to be baked.
2. The method of claim 1, wherein the sensor detects the food material to be baked, and the obtaining of the food material information of the food material to be baked comprises:
the sensor detects food materials to be baked in the intelligent oven, and determines the food material type, volume information and density information of each food material to be baked;
the sensor determines the ingredient information of each food material to be baked according to the food material types;
the sensor inquires a first mapping relation according to the volume information, the density information and the component information, and determines a baking temperature range and a baking time range corresponding to the volume information, the density information and the component information, wherein the first mapping relation is the mapping relation among the volume information, the density information, the component information, the baking temperature range and the baking time range.
3. The method of claim 2, wherein the sensor determines a roasting strategy from the food material information, comprising:
the sensor queries a preset recipe database according to the food material information to obtain at least one recipe to be baked;
the sensor sends the recipe to be baked to first preset equipment, and the recipe to be baked is used for the first preset equipment to determine a target baking recipe;
the sensor receives the target baking recipe sent by the first preset device;
the sensor determines a roasting strategy from the target roasting recipe.
4. The method according to claim 3, wherein the sensor queries a preset recipe database according to the food material information, and after obtaining at least one recipe to be baked, the method further comprises:
the sensor determines that a plurality of recipes to be baked exist, and historical baking information is obtained;
the sensor determines the occurrence time and the occurrence frequency of each recipe to be baked in the historical baking information according to the historical baking information;
the sensor determines a target baking recipe according to the occurrence time and the occurrence frequency;
the sensor determines a roasting strategy from the target roasting recipe.
5. The method of claim 4, wherein the sensor determines a baking strategy from the target baking recipe, comprising:
the sensor determines a first food material and a second food material according to the target baking recipe and the food material information;
the sensor acquires a first baking temperature and a first baking time of the first food material;
the sensor predicts second food material information for the second food material after the first baking time at the first baking temperature;
the sensor determines a second baking temperature and a second baking time of the second food material according to the second food material information and the target baking recipe;
the sensor determines a baking strategy for the first and second food materials.
6. The method of claim 4, wherein the sensor determines a baking strategy from the target baking recipe, comprising:
the sensor determines a first baking strategy according to the target baking recipe and the food material information;
the sensor acquires baking position information of the food material to be baked;
the sensor determines the real-time baking temperature of the intelligent oven according to the first baking strategy;
and the sensor determines a second baking strategy according to the baking position information and the real-time baking temperature.
7. The method of claim 1, wherein the sensor controls the smart oven according to the baking strategy to bake the food material to be baked, the method further comprising:
the sensor sends real-time baking information to second preset equipment;
and receiving a real-time baking control instruction from the second preset device, and baking the food material to be baked, wherein the real-time baking control instruction can be generated through intelligent analysis of the second preset device according to the real-time baking information.
8. The baking control device is characterized by being applied to a smart oven, wherein the smart oven comprises a sensor; the baking temperature control device comprises a processing unit, a communication unit and a storage unit, wherein,
the processing unit is used for detecting the food materials to be baked by the sensor and acquiring the food material information of the food materials to be baked; and the sensor is used for determining a baking strategy according to the food material information; and the sensor is used for controlling the intelligent oven according to the baking strategy so as to bake the food to be baked.
9. A smart oven comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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