CN116482995A - Dough kneading task execution method and device, storage medium and electronic equipment - Google Patents
Dough kneading task execution method and device, storage medium and electronic equipment Download PDFInfo
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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
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Abstract
The specification discloses a method, a device, a storage medium and an electronic device for executing dough mixing tasks, and particularly discloses that after a user selects a dough mixing recipe in the dough mixing process by using intelligent dough mixing equipment, the dough mixing equipment can automatically adjust dough mixing parameters corresponding to the dough mixing recipe according to the requirement of the user, can also automatically adjust the dough mixing parameters corresponding to the dough mixing recipe according to temperature and humidity information in the environment where the current dough mixing equipment is located, can monitor the dough state in real time in the dough mixing process, and can automatically adjust the dough mixing parameters according to the dough state, so that the dough mixing effect of the dough finally manufactured by the dough mixing equipment can be guaranteed to be optimal, and the dough mixing experience of the user can be improved.
Description
Technical Field
The present disclosure relates to the field of intelligent cooking technologies, and in particular, to a method and an apparatus for performing dough mixing tasks, a storage medium, and an electronic device.
Background
With the continuous development of computer technology and the continuous popularization of the Internet of things, household appliances enter an artificial intelligence era nowadays, and at present, an intelligent dough kneading machine in existing intelligent dough kneading equipment can intelligently and automatically complete dough kneading processes, so that great convenience is brought to daily life of people.
However, the current intelligent dough kneading equipment can only finish the intelligent automatic dough kneading process, and does not relate to the automatic adjustment of dough kneading parameters used in the dough kneading process according to the environmental information of the actual dough kneading equipment and the taste requirement of a user, so that the dough kneading and fermentation process can be influenced due to the excessively high or excessively low environmental temperature of the dough kneading equipment, and the risk of optimal dough kneading effect can not be realized, thereby influencing the use experience of the user on the intelligent dough kneading equipment.
Disclosure of Invention
The present disclosure provides a method and apparatus for performing dough kneading task to partially solve the above-mentioned problems in the prior art.
The technical scheme adopted in the specification is as follows:
the specification provides a method for performing dough kneading tasks, comprising the following steps:
acquiring an dough kneading recipe and environment information of the environment where intelligent dough kneading equipment is located;
according to the environmental information, adjusting dough mixing parameters corresponding to the dough mixing recipes;
and executing the dough mixing task corresponding to the dough mixing recipe according to the adjusted dough mixing parameters.
Optionally, acquiring the environment information of the environment where the dough kneading recipe and the intelligent dough kneading equipment are located, specifically including:
acquiring weather information of an area where a user is located based on positioning information of a mobile terminal used by the user, wherein the positioning information is determined by a cooking program installed in the mobile terminal;
And acquiring environmental information of the environment where the intelligent dough kneading equipment is located according to the weather information.
Optionally, before adjusting the dough parameters corresponding to the dough recipes according to the environment information, the method further includes:
acquiring demand information of a user;
according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise:
and adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the demand information and the environment information. Optionally, the environmental information includes: at least one of temperature and humidity of an environment where the intelligent dough kneading equipment is located;
according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise:
determining an environment information interval in which the environment information falls;
determining the adjustment amplitude of the dough parameters corresponding to the dough recipe according to the environment information interval in which the environment information falls;
and adjusting the dough mixing parameter according to the adjustment amplitude.
Optionally, the environmental information includes: at least one of temperature and humidity of an environment where the intelligent dough kneading equipment is located;
according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise:
Determining a difference value between the environment information and preset standard environment information;
determining the adjustment amplitude of the dough parameters corresponding to the dough recipe according to the difference value;
and adjusting the dough mixing parameter according to the adjustment amplitude.
Optionally, adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environmental information specifically includes:
determining the priority of each food material required by the dough kneading recipes;
determining the adjustment amplitude of dough mixing parameters corresponding to the food materials according to the priority and the environmental information;
and adjusting the dough mixing parameter according to the adjustment amplitude.
Optionally, adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environmental information specifically includes:
determining the adjustment amplitude of dough parameters corresponding to the dough recipe according to the environment information and the recipe information of the dough recipe;
and adjusting the dough mixing parameter according to the adjustment amplitude.
The specification provides a dough kneading task execution apparatus, comprising:
the acquisition module is used for acquiring the flour mixing recipes and the environment information of the environment where the intelligent flour mixing equipment is located;
the adjusting module is used for adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environmental information;
And the execution module is used for executing the dough mixing task corresponding to the dough mixing recipe according to the adjusted dough mixing parameters.
The present specification provides a computer readable storage medium storing a computer program which when executed by a processor performs a method of performing the above-described dough mixing task.
The present specification provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a method of performing the above-described dough mixing task when executing the program.
The above-mentioned at least one technical scheme that this specification adopted can reach following beneficial effect:
in the dough mixing task execution method provided by the specification, the dough mixing recipe and the environment information of the environment where the intelligent dough mixing equipment is located are obtained, the dough mixing parameters corresponding to the dough mixing recipe are adjusted according to the environment information, and the dough mixing task corresponding to the dough mixing recipe is executed according to the adjusted dough mixing parameters.
According to the method, in the description, after the user selects the dough mixing recipe in the process of using the intelligent dough mixing device to mix the dough, the dough mixing device can automatically adjust the dough mixing parameters corresponding to the dough mixing recipe according to the requirements of the user and can also automatically adjust the dough mixing parameters corresponding to the dough mixing recipe according to the environmental information in the environment where the current dough mixing device is located, so that the dough mixing effect of the dough finally manufactured by the dough mixing device can be guaranteed to be optimal, and the dough mixing experience of the user can be improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the specification, illustrate and explain the exemplary embodiments of the present specification and their description, are not intended to limit the specification unduly. In the drawings:
FIG. 1 is a flow chart of a method of dough kneading task execution in the present specification;
FIG. 2 is a schematic diagram of multi-terminal interactions involved in performing dough tasks in the present description;
FIG. 3 is a schematic diagram of an apparatus for performing dough kneading tasks provided herein;
fig. 4 is a schematic view of the electronic device corresponding to fig. 1 provided in the present specification.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present specification more apparent, the technical solutions of the present specification will be clearly and completely described below with reference to specific embodiments of the present specification and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present specification. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
The following describes in detail the technical solutions provided by the embodiments of the present specification with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for performing dough kneading task in the present specification, specifically including the following steps:
s101: and acquiring the flour-mixing recipes and the environment information of the environment where the intelligent flour-mixing equipment is located.
The main execution body of the dough kneading task execution method referred in the specification can be dough kneading equipment such as an intelligent dough kneading machine, and also can refer to a client arranged in a mobile terminal such as a mobile phone, a tablet computer and the like, and for convenience of description, the process of dough kneading task execution when the dough kneading equipment is the main execution body will be described below.
When the execution subject is dough kneading equipment, the dough kneading equipment needs to acquire dough kneading recipes and environment information of the environment where the intelligent dough kneading equipment is located.
Specifically, when the flour mixing equipment acquires flour mixing recipes, an interactive interface is arranged on the flour mixing equipment, the flour mixing equipment can display a flour mixing recipe selection window for a user through the interactive interface, the user selects the flour mixing recipes in the flour mixing recipe selection window, and after the user finishes selecting the flour mixing recipes, the flour mixing equipment can download recipe information corresponding to the flour mixing recipes selected by the user from the cloud server.
Of course, the dough kneading device may acquire the user information in other manners, for example, after the user has completed selecting the dough kneading recipe through the dough kneading recipe selection interface of the client in the client, the user may scan the two-dimensional code or the bar code on the dough kneading device by using the client to acquire the identifier information of the dough kneading device, and then, the client may send the acquired identifier of the dough kneading recipe to the server based on the account number logged in by the user, and the server may query the recipe information of the dough kneading recipe selected by the user and send the recipe information to the dough kneading device corresponding to the identifier information.
For another example, in practical applications, both the mobile terminal installed with the client and the dough-mixing device may be provided with a near field communication (Near Field Communication, NFC) module, in which case, after the user has completed the selection of the dough-mixing recipe in the client through the recipe selection interface of the client, the user may establish a near field communication connection between the mobile terminal and the dough-mixing device by bringing the mobile terminal deployed with the client close to the dough-mixing device. The client may then send recipe information for the user-selected dough recipe to the dough kneading device based on the near field communication connection.
Of course, the client may also acquire the identification information of the dough kneading device based on the near field communication connection, and then, the client may send the acquired identification information to the server based on the selected dough kneading recipe, and the server may query the recipe information of the dough kneading recipe and send the recipe information to the dough kneading device corresponding to the identification information.
When the dough kneading equipment obtains the environmental information of the environment where the equipment is located, the weather information of the area where the user is located can be obtained based on the positioning information of the mobile terminal used by the user, the positioning information is determined through a cooking program installed in the mobile terminal, and then the environmental information of the environment where the intelligent dough kneading equipment is located is obtained according to the weather information.
Specifically, if the mobile terminal used by the user is a mobile phone, the positioning information of the mobile phone can be obtained through a cooking program installed in the mobile phone, then the mobile phone can send the obtained positioning information to the server, the server can inquire weather information corresponding to the positioning information, determine the weather information as weather information of an area where the user is located, send the weather information to the mobile phone, and then the mobile phone can determine environmental information of the environment where the intelligent dough kneading equipment is located according to the weather information, wherein the environmental information can be temperature or humidity.
For example, the mobile phone can obtain that the positioning information of the mobile phone is a beijing city lake area through a cooking program installed in the mobile phone, and then the mobile phone can send the obtained positioning information of the beijing city lake area to the server, and the server can query that the weather information of the beijing city lake area is: "temperature: 3 ℃, humidity: 18% ", and determining the weather information as weather information of a Beijing city lake area of the area where the user is located, and transmitting the weather information to the mobile phone. Then, the mobile phone can determine that the environmental information of the environment where the intelligent dough kneading equipment is located is the temperature according to the weather information: 3 ℃, humidity: 18%.
In addition, when the dough kneading device acquires the environmental information of the environment where the device is located, if the user can directly acquire the environmental information, the device can also directly determine the environmental information as the environmental information of the environment where the device is located.
That is, when the dough kneading device acquires the environmental information of the environment in which the device is located, if a sensor that can be used to measure the environmental information of the environment in which the device is located is directly installed in the dough kneading device, the device may also determine the environmental information acquired by the sensor as the environmental information of the environment in which the device is located.
Of course, when the dough kneading device acquires the environmental information of the environment in which the device is located, if the dough kneading device can be in communication connection with the device that can be used to measure the environmental information of the environment in which the device is located, the dough kneading device can also determine the environmental information acquired by the device as the environmental information of the environment in which the dough kneading device is located. For example, if the dough kneading device can be in communication connection with the air conditioner, the dough kneading device may also determine the environmental information acquired by the air conditioner as the environmental information of the environment in which the dough kneading device is located.
Because the dough kneading effect is affected by the environmental information of the environment where the dough kneading equipment is located, for example, when the temperature is higher, the time required for dough fermentation is short, and the water absorption capacity of the flour is increased due to the higher temperature, so that the dough is thinner and cannot be agglomerated, and less water is needed for dough kneading; and when the temperature is relatively low, the time required for dough fermentation is long, and more water is required for dough kneading. Therefore, the same recipe may have different actual dough mixing effects due to different air temperatures in different areas, i.e. the dough mixing effect may not be optimal.
Therefore, in the subsequent process, the dough mixing equipment can determine dough mixing parameters corresponding to the dough mixing recipes according to the dough mixing recipes selected by the user, so that the dough mixing parameters corresponding to the dough mixing recipes are adjusted according to the environmental information of the environment where the dough mixing equipment is located, the dough mixing parameters required to be adjusted can be dough mixing time, fermentation time, quality of liquid food materials, temperature of the liquid food materials, yeast adding time during fermentation, butter adding time and the like, and dough mixing effects of dough finally manufactured by the dough mixing equipment can be guaranteed to be optimal, and therefore dough mixing experience of the user can be improved.
In addition, the dough kneading device can adjust dough kneading parameters corresponding to the dough kneading recipes according to the environment information of the environment where the dough kneading device is located, acquire the requirement information of the user, and adjust the dough kneading parameters corresponding to the dough kneading recipes according to the requirement information and the environment information.
The demand information may be a taste demand of the user, i.e. a demand of the user for the taste of the dough obtained by the final dough kneading device, which may particularly represent a requirement for sweetness or saltiness. The consumption of the food materials such as sugar, salt and the like in the dough parameters corresponding to the dough recipes selected by the user can be adjusted according to the taste requirement.
The demand information may also be a characteristic demand of the user, that is, a demand of the user for a characteristic of the dough obtained by the final dough kneading apparatus, and the characteristic demand may specifically be a green tea taste, a cocoa taste, a milk flavor, a wholewheat taste, and the like. The quality of the taste flour in the flour mixing parameters corresponding to the flour mixing recipes selected by the user can be adjusted according to the characteristic requirements, wherein the taste flour can be green tea powder, cocoa powder, milk powder, whole wheat flour and the like.
Of course, the demand information herein may also be a texture demand of the user, i.e. the user's demand for the texture of the dough resulting from the final dough kneading device, which may be used in particular to represent the softness of the dough being kneaded. The quality of the liquid food materials in the dough parameters corresponding to the dough recipes selected by the user can be adjusted according to the texture requirements, wherein the liquid food materials can be the consumption of water, milk or eggs.
In addition, for western style flour mixing recipes, such as toasts, soft europe, bread and pizzas, the demand information may also be the user's gluten demand, i.e. the user's demand for the gluten degree of the dough resulting from the final dough mixing device, so the gluten demand is specifically used to represent the gluten degree of the dough being mixed. The time point of adding butter, vegetable oil and the like when dough is added in dough mixing parameters corresponding to dough mixing recipes selected by a user can be adjusted according to the gluten demand, and the time point of adding the specified food materials is adjusted later as the specified food materials obstruct dough gluten formation when dough mixing.
Therefore, the subsequent dough kneading equipment can also adjust dough kneading parameters corresponding to the dough kneading recipes selected by the user according to the requirement information of the user, so that the personalized requirement of the user on the final dough kneading effect is met, and the dough kneading experience of the user can be improved.
After the dough kneading device obtains the environment information and the requirement information of the user, the dough kneading parameters corresponding to the dough kneading recipes can be adjusted according to the requirement information and the environment information. The specific adjustment mode may be: firstly, dough mixing parameters corresponding to the dough mixing recipes selected by the user are adjusted according to the requirement information, so that the obtained dough can meet the requirement of the user after the subsequent dough mixing equipment executes the dough mixing task according to the adjusted dough mixing parameters. Of course, the dough kneading device can also adjust the adjusted dough kneading parameters again according to the environmental information, so that dough obtained by the dough kneading device executing dough kneading task according to the twice adjusted dough kneading parameters can meet the requirements of users, and meanwhile, the dough kneading device has the best dough kneading effect.
S102: and adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environment information.
In the present specification, after the dough kneading recipe and the environmental information of the environment in which the intelligent dough kneading device is located are obtained, the dough kneading device may adjust dough kneading parameters corresponding to the dough kneading recipe according to the environmental information.
The environmental information here may be temperature or humidity.
When the dough kneading device adjusts dough kneading parameters corresponding to the dough kneading recipes according to the environmental information, the dough kneading parameters can be water content, quality of liquid food materials, dough kneading time, fermentation time, temperature of the liquid food materials, yeast adding time, adding time points of the specified food materials, and the like.
In the embodiment of the present disclosure, there may be various ways to adjust the dough parameters corresponding to the dough recipes according to the environmental information.
One of the above adjustment methods may be to first determine an environment information section in which the environment information falls, then determine an adjustment range of the dough parameters corresponding to the dough recipe according to the environment information section in which the environment information falls, and then adjust the dough parameters according to the adjustment range.
Specifically, the mode of adjusting the dough parameters corresponding to the dough recipe according to the environmental information may be that after the dough equipment obtains the environmental information, the dough equipment determines an environmental information section in which the environmental information falls according to a preset environmental information section and a corresponding relation reference table between the adjustment amplitudes, and then determines the adjustment amplitude corresponding to the environmental information section according to the corresponding relation reference table, and uses the adjustment amplitude as the adjustment amplitude of the dough parameters corresponding to the dough recipe. The dough mixing device may then adjust the dough mixing parameters according to the adjustment amplitude.
In the present embodiment, various dough parameters can be adjusted, and the following will take the water content and the quality of the liquid food material in the dough parameters as examples.
For example, the moisture content herein is the ratio of the moisture content of the liquid food material relative to the mass of the flour. Specifically, the dough kneading device may preset a corresponding water content of each liquid food material, and then, the dough kneading device may determine the water content of the liquid food material in the dough kneading recipe according to the liquid food material corresponding to the dough kneading recipe and a preset correspondence reference table between the liquid food material and the water content. And then, the dough mixing equipment can determine the water content corresponding to the dough mixing recipe according to the quality of flour in the dough mixing recipe, the quality of each liquid food material and the water content of each liquid food material.
For example, when the liquid food material in the dough recipe includes water, milk, egg, the preset water content of the liquid food material is: the water content of the water is 100%, the water content of the milk is 90%, and the water content of the eggs is 75%, so that the water content calculation mode can be expressed by the following water content calculation formula:
water content = (mass of water × 100% + mass of milk × 90% + mass of eggs × 75%)/mass of flour
It should be noted that when the taste requirement is included in the user requirement, the flour quality of the water content calculation formula should contain the quality of the taste flour added according to the taste requirement of the user.
When the dough mixing parameters corresponding to the dough mixing recipes are adjusted according to the temperature in the environment information, the dough mixing equipment is used for adjusting the temperature according to the acquired environment information: 28 ℃, according to the corresponding relation reference table between the preset environmental information and the adjustment amplitude, the temperature interval corresponding to 28 ℃ can be inquired to be [28,30 ], the adjustment amplitude corresponding to the temperature interval is adjusted by 1-2% of the water content, then the water content in the dough parameters corresponding to the dough recipe can be adjusted by 1-2%, and then the quality of the adjusted liquid food material can be determined according to the adjusted water content.
Wherein the correspondence relation reference table mentioned herein may be as shown in the following table 1.
| Environmental information interval/°c | (22,28) | [28,30) | [30, positive infinity ] |
| Adjusting amplitude | Without adjustment | The water content is reduced by 1 to 2 percent | The water content is reduced by 2 to 4 percent |
TABLE 1
When the dough parameters corresponding to the dough recipe are adjusted based on the environmental information, other modes than the above mode may be used.
For example, a difference between the environmental information and the preset standard environmental information may be determined, and according to the difference, an adjustment range of the dough parameters corresponding to the dough recipe may be determined, and then according to the adjustment range, the dough parameters may be adjusted.
Specifically, the mode of adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environment information may be that after the dough mixing equipment obtains the environment information, determining a difference between the environment information and preset standard environment information according to the environment information and preset standard environment information, determining an adjustment amplitude corresponding to the difference according to the difference and a corresponding relation reference table between the preset difference and the adjustment amplitude, and then adjusting the dough mixing parameters according to the adjustment amplitude by the dough mixing equipment.
In the present embodiment, various dough parameters can be adjusted, and the following will take the water content and the quality of the liquid food material in the dough parameters as examples.
For example, when the dough mixing parameters corresponding to the dough mixing recipes are adjusted according to the temperature in the environmental information, the dough mixing device sets the environmental temperature according to the acquired environmental information: 28 ℃, and the preset standard environmental information is standard temperature: and (3) determining that the difference between the environment information and the preset standard environment information is 3 ℃, determining that the adjustment amplitude corresponding to the 3 ℃ is the water content down adjustment of 1-4% according to the corresponding relation reference table between the preset difference and the adjustment amplitude, and adjusting the water content in the dough mixing parameters according to the adjustment amplitude.
Wherein the correspondence relation reference table mentioned herein may be as shown in the following table 2.
| Difference/. Degree.C | [-2,2] | (2, positive infinity) | (minus infinity, -2) |
| Adjusting amplitude | Without adjustment | The water content is reduced by 1 to 4 percent | The water content is up-regulated by 1 to 4 percent |
TABLE 2
Wherein the difference in table 2 refers to the result of subtracting the standard temperature from the ambient temperature.
In addition, when adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environment information, the priority of each food material required by the dough mixing recipes can be firstly determined, then, according to the priority and the environment information, the adjustment range of the dough mixing parameters corresponding to each food material is determined, and then, according to the adjustment range, the dough mixing parameters are adjusted.
Specifically, the priority of each food material required by the dough recipe is determined according to the food material in the dough recipe and a preset corresponding relation reference table between the food material and the priority, then the adjustment range of the dough parameters corresponding to each food material is determined according to the priority and the environmental information, and then the dough parameters are adjusted according to the adjustment range.
For example, when determining the quality of the adjusted liquid food material according to the adjusted water content, the liquid food material with the highest priority may be determined as the liquid food material to be adjusted according to the preset priority of the liquid food material, where the priority may be arranged from high to low according to the water content of the liquid food material. And then, according to the adjusted water content, the dough parameters corresponding to the dough recipes and the water content calculation formula, adjusting the quality of the liquid food material to be adjusted so as to determine the quality of the adjusted liquid food material.
If the adjustment range is that the water content is adjusted by 1%, the flour quality corresponding to the flour recipe selected by the user is 300g, the water content is 60%, and the liquid food material is milk: 180g and 30g of eggs. The preset priority of the liquid food materials is as follows from high to low: water, milk and egg.
Then, the adjusted water content may be determined to be 59%, and when the quality of the adjusted liquid food material is determined according to the adjusted water content, the liquid food material with the highest priority in the dough recipe may be determined to be milk according to the preset priority of the liquid food material, so that the milk is the liquid food material to be adjusted. And then according to the adjusted water content: 59% of liquid food materials, namely milk and egg mass, 30g of egg and a water content calculation formula: water content = (water mass 100% + milk mass 90% + egg mass 75%)/flour mass, the adjusted milk mass can be determined to be 154.5g.
In addition, when the dough parameters corresponding to the dough recipe are adjusted according to the environment information, the adjustment range of the dough parameters corresponding to the dough recipe can be determined according to the environment information and the recipe information of the dough recipe, and then the dough parameters can be adjusted according to the adjustment range.
Specifically, when the dough parameters corresponding to the dough recipes are adjusted according to the environmental information, the adjustment ranges corresponding to the different dough recipes may be different. Therefore, the adjustment range corresponding to the dough recipe under the environment information can be determined according to the corresponding relation among the environment information, the recipe information of the dough recipe, the preset environment information, the recipe information and the adjustment range.
For example, when the environmental information acquired by the dough kneading device is the environmental temperature: when the temperature of the environment is 29 ℃, and the flour recipe is a recipe name of the dumpling in the recipe information, the adjusted water content of the dumpling corresponding to the flour recipe is 43% according to the corresponding relation reference table among the environment information, the recipe information of the flour recipe, preset environment information, recipe information and the adjusted range.
Wherein the correspondence mentioned here may be as shown in table 3 below.
TABLE 3 Table 3
Of course, when adjusting the dough parameters corresponding to the dough recipes according to the environmental information, the dough parameters may be other parameters such as dough time and fermentation time, as well as the water content and the quality of the liquid food material.
For example, taking the parameters to be adjusted as dough kneading time and fermentation time as examples, when the environment information acquired by dough kneading equipment is the environment temperature: when the temperature of the environment is 30 ℃, and the flour recipe is a recipe name in recipe information, according to the environment information, the recipe information of the flour recipe, the preset environment information, the recipe information and the corresponding relation reference table, the adjustment range corresponding to the flour recipe of the steamed stuffed bun can be determined to be 10-15 minutes when the temperature of the environment is 30 ℃, and the fermentation time is adjusted to be 30-50 minutes.
Wherein the correspondence relation reference table mentioned herein may be as shown in the following table 4.
TABLE 4 Table 4
Of course, when the dough parameters corresponding to the dough recipe are adjusted according to the environmental information, the dough parameters may be, in addition to the time-to-water ratio, the quality of the liquid food, the dough mixing time, and the fermentation time, the temperature of the liquid food, the yeast addition time, and the like, and when the temperature is greater than the maximum value in the preset temperature range, the temperature of the liquid food may be reduced, or the yeast addition time may be delayed, and when the temperature is less than the minimum value in the preset temperature range, the temperature of the liquid food may be increased, or the yeast addition time may be provided. The specific manner is not described in detail.
S103: and executing the dough mixing task corresponding to the dough mixing recipe according to the adjusted dough mixing parameters.
After the adjustment of the dough mixing parameters corresponding to the dough mixing recipes is completed according to the environment information, the dough mixing equipment can execute the dough mixing tasks corresponding to the dough mixing recipes according to the adjusted dough mixing parameters.
The dough kneading task mentioned in the specification can comprise two steps, namely a dough kneading step and a fermentation step, wherein the dough kneading device can continue to execute the fermentation step after the dough kneading step is executed, and the dough kneading task is completed after the fermentation step is executed.
Based on the above, when the dough kneading device executes the dough kneading step in the dough kneading task according to the adjusted dough kneading recipe, whether the dough kneading is finished can be judged according to the dough kneading time, the glossiness of the dough can be obtained in real time through an infrared ray/image recognition technology, and whether the dough kneading task corresponding to the dough kneading step is finished is determined by judging whether the real-time glossiness of the dough meets the preset dough glossiness. If the real-time glossiness of the dough is determined to meet the preset glossiness of the dough, the dough mixing device can end the dough mixing step, and if the real-time glossiness of the dough is determined not to meet the preset glossiness of the dough, the dough mixing device needs to continue to execute the dough mixing step until the real-time glossiness of the dough meets the preset glossiness of the dough.
Of course, when the dough mixing device executes the fermentation step according to the adjusted dough mixing recipe, besides judging whether the fermentation step is finished according to the fermentation time, the real-time dough size of the dough during fermentation can be obtained in real time through an infrared/image recognition technology, and judging whether the ratio of the real-time dough size during fermentation to the dough size during the dough mixing step is satisfied with a preset ratio according to the dough size during the dough mixing step and the real-time dough size during fermentation, if the ratio of the real-time dough size during fermentation to the dough size during the dough mixing step is satisfied with the preset ratio, the fermentation step is ended, and if the ratio of the real-time dough size during fermentation to the dough size during the dough mixing step is not satisfied with the preset ratio, the fermentation step is continued until the ratio of the real-time dough size during fermentation to the dough size during the dough mixing step is satisfied with the preset ratio.
Of course, the dough kneading device can execute the dough kneading task according to the adjusted dough kneading recipe, and in the process of executing the dough kneading task, dough kneading parameters corresponding to the dough kneading recipe can be adjusted in real time by monitoring the dough state in the dough kneading device in real time.
For example, for western flour mixing recipes, assuming that the specified food material corresponding to the flour mixing recipe is butter, when the dough finally obtained by the flour mixing device is required to meet the requirement of the gluten degree preset by the user, when the flour mixing device executes the flour mixing task corresponding to the flour mixing recipe, besides adding butter based on the time point of adding butter in the adjusted flour mixing parameters, the flour mixing device can also acquire the glossiness of the dough through an infrared/image recognition technology in real time, and according to the glossiness of the dough, the time point of adding butter in the flour mixing parameters is adjusted in real time, namely, the flour mixing device determines the real-time gluten degree of the dough according to the glossiness of the dough and the corresponding relation between the preset glossiness and the gluten degree, and because the butter can obstruct the gluten formation of the dough during flour mixing, the flour mixing device is required to be adjusted to the time point of adding butter in the dough mixing parameters according to the preset gluten degree requirement of the user, thereby completing the flour mixing task.
According to the dough kneading device, the dough kneading parameters corresponding to the dough kneading recipes can be automatically adjusted according to the requirements of the user in the dough kneading task execution process, the dough kneading parameters corresponding to the dough kneading recipes can be automatically adjusted according to the temperature and humidity information in the environment where the current dough kneading device is located, the dough kneading state can be monitored in real time in the dough kneading process, and the dough kneading parameters can be automatically adjusted according to the dough state, so that the dough kneading effect of the dough finally manufactured by the dough kneading device can be guaranteed to be optimal, and the dough kneading experience of the user can be improved.
The above description describes the procedure of performing the dough kneading task when the execution body is the dough kneading device, and of course, in the embodiment of the present specification, the whole dough kneading task is not necessarily performed by taking the dough kneading device as the execution body, and the execution body of some of the steps herein may also be a client provided in a mobile terminal such as a mobile phone, a tablet computer, or the like.
Specifically, when the executing body of the partial steps is a client, the client can specifically complete the process of executing the dough kneading task through interaction with a server or dough kneading equipment, as shown in fig. 2.
FIG. 2 is a schematic diagram of multi-terminal interactions involved in the performance of dough tasks provided herein.
Fig. 2 includes a server deployed in a cloud, a client and a dough kneading device installed in a mobile terminal used by a user, where the server, the client and the dough kneading device may communicate with each other. The mobile terminal referred to herein may refer to an electronic device such as a mobile phone, tablet computer, or the like.
For example, in the embodiment of the present disclosure, the steps of obtaining the dough recipe, the environmental information of the environment where the intelligent dough mixing device is located, and adjusting the dough parameters of the dough recipe may be performed by a client.
That is, the client may directly obtain the flour-mixing recipe selected by the user and the input user demand information, and send the recipe identifier of the flour-mixing recipe to the server, and the server may query the recipe information of the recipe according to the received recipe identifier, and send the recipe information to the client, and the client may also obtain the positioning information, obtain the environmental information of the environment where the flour-mixing device is located, and adjust the flour-mixing parameter of the flour-mixing recipe according to the environmental information, or adjust the flour-mixing parameter of the flour-mixing recipe according to the user demand information, so that the adjusted flour-mixing recipe not only meets the user demand, but also meets the flour-mixing effect.
The client can acquire the identification information of the dough kneading equipment, send the adjusted dough kneading recipes to the server, and send the adjusted dough kneading recipes to the dough kneading equipment corresponding to the identification information. Or if the communication connection relation between the client and the dough kneading equipment is established, the client can send the adjusted dough kneading recipes to the dough kneading equipment through the communication connection. So that the dough kneading device can execute dough kneading tasks according to the adjusted dough kneading recipes.
The above method for performing the dough mixing task provided for one or more embodiments of the present specification further provides a corresponding apparatus for performing the dough mixing task based on the same concept, as shown in fig. 3.
Fig. 3 is a schematic diagram of an apparatus for performing dough kneading tasks provided in the present specification, specifically including:
the acquisition module 301 acquires the flour mixing recipes and the environment information of the environment where the intelligent flour mixing equipment is located;
the adjusting module 302 adjusts the dough parameters corresponding to the dough recipes according to the environmental information;
and the execution module 303 executes the dough mixing task corresponding to the dough mixing recipe according to the adjusted dough mixing parameters.
Optionally, the acquiring module 301 is specifically configured to acquire weather information of an area where the user is located based on positioning information of a mobile terminal used by the user, where the positioning information is determined by a cooking program installed in the mobile terminal; and acquiring environmental information of the environment where the intelligent dough kneading equipment is located according to the weather information.
Optionally, the acquiring module 301 is specifically configured to acquire requirement information of a user; according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise: and adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the demand information and the environment information.
Optionally, the environmental information includes: at least one of temperature and humidity of an environment where the intelligent dough kneading equipment is located; according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise: determining an environment information interval in which the environment information falls; determining the adjustment amplitude of the dough parameters corresponding to the dough recipe according to the environment information interval in which the environment information falls; and adjusting the dough mixing parameter according to the adjustment amplitude.
Optionally, the environmental information includes: at least one of temperature and humidity of an environment where the intelligent dough kneading equipment is located; according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise: determining a difference value between the environment information and preset standard environment information; determining the adjustment amplitude of the dough parameters corresponding to the dough recipe according to the difference value; and adjusting the dough mixing parameter according to the adjustment amplitude.
Optionally, the adjusting module 302 is specifically configured to determine a priority of each food material required by the dough recipe; determining the adjustment amplitude of dough mixing parameters corresponding to the food materials according to the priority and the environmental information; and adjusting the dough mixing parameter according to the adjustment amplitude.
Optionally, the adjusting module 302 is specifically configured to determine, according to the environmental information and recipe information of the dough recipe, an adjustment range of a dough parameter corresponding to the dough recipe; and adjusting the dough mixing parameter according to the adjustment amplitude.
The present specification also provides a computer readable storage medium storing a computer program operable to perform the method of dough task execution provided in fig. 1 above.
The present specification also provides a schematic structural diagram of the electronic device shown in fig. 4. At the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile storage, as described in fig. 4, although other hardware required by other services may be included. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs to implement the method of performing the dough mixing task described above with respect to fig. 1. Of course, other implementations, such as logic devices or combinations of hardware and software, are not excluded from the present description, that is, the execution subject of the following processing flows is not limited to each logic unit, but may be hardware or logic devices.
In the 90 s of the 20 th century, improvements to one technology could clearly be distinguished as improvements in hardware (e.g., improvements to circuit structures such as diodes, transistors, switches, etc.) or software (improvements to the process flow). However, with the development of technology, many improvements of the current method flows can be regarded as direct improvements of hardware circuit structures. Designers almost always obtain corresponding hardware circuit structures by programming improved method flows into hardware circuits. Therefore, an improvement of a method flow cannot be said to be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (e.g., field programmable gate array (Field Programmable Gate Array, FPGA)) is an integrated circuit whose logic function is determined by the programming of the device by a user. A designer programs to "integrate" a digital system onto a PLD without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Moreover, nowadays, instead of manually manufacturing integrated circuit chips, such programming is mostly implemented by using "logic compiler" software, which is similar to the software compiler used in program development and writing, and the original code before the compiling is also written in a specific programming language, which is called hardware description language (Hardware Description Language, HDL), but not just one of the hdds, but a plurality of kinds, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), lava, lola, myHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are currently most commonly used. It will also be apparent to those skilled in the art that a hardware circuit implementing the logic method flow can be readily obtained by merely slightly programming the method flow into an integrated circuit using several of the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers, and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller may thus be regarded as a kind of hardware component, and means for performing various functions included therein may also be regarded as structures within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. One typical implementation is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present specification.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.
The foregoing is merely exemplary of the present disclosure and is not intended to limit the disclosure. Various modifications and alterations to this specification will become apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of the present description, are intended to be included within the scope of the claims of the present description.
Claims (10)
1. A method of performing dough kneading tasks, comprising:
acquiring an dough kneading recipe and environment information of the environment where intelligent dough kneading equipment is located;
according to the environmental information, adjusting dough mixing parameters corresponding to the dough mixing recipes;
and executing the dough mixing task corresponding to the dough mixing recipe according to the adjusted dough mixing parameters.
2. The method of claim 1, wherein obtaining the dough kneading recipe and the environment information of the environment in which the intelligent dough kneading device is located, specifically comprises:
Acquiring weather information of an area where a user is located based on positioning information of a mobile terminal used by the user, wherein the positioning information is determined by a cooking program installed in the mobile terminal;
and acquiring environmental information of the environment where the intelligent dough kneading equipment is located according to the weather information.
3. The method of claim 1, wherein prior to adjusting the dough parameters corresponding to the dough recipes based on the environmental information, the method further comprises:
acquiring demand information of a user;
according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise:
and adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the demand information and the environment information.
4. The method of claim 1, wherein the environmental information comprises: at least one of temperature and humidity of an environment where the intelligent dough kneading equipment is located;
according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise:
determining an environment information interval in which the environment information falls;
determining the adjustment amplitude of the dough parameters corresponding to the dough recipe according to the environment information interval in which the environment information falls;
And adjusting the dough mixing parameter according to the adjustment amplitude.
5. The method of claim 1, wherein the environmental information comprises: at least one of temperature and humidity of an environment where the intelligent dough kneading equipment is located;
according to the environmental information, adjusting the dough mixing parameters corresponding to the dough mixing recipes, wherein the dough mixing parameters specifically comprise:
determining a difference value between the environment information and preset standard environment information;
determining the adjustment amplitude of the dough parameters corresponding to the dough recipe according to the difference value;
and adjusting the dough mixing parameter according to the adjustment amplitude.
6. The method of claim 1, wherein adjusting the dough parameters corresponding to the dough recipes according to the environmental information, specifically comprises:
determining the priority of each food material required by the dough kneading recipes;
determining the adjustment amplitude of dough mixing parameters corresponding to the food materials according to the priority and the environmental information;
and adjusting the dough mixing parameter according to the adjustment amplitude.
7. The method of claim 1, wherein adjusting the dough parameters corresponding to the dough recipes according to the environmental information, specifically comprises:
Determining the adjustment amplitude of dough parameters corresponding to the dough recipe according to the environment information and the recipe information of the dough recipe;
and adjusting the dough mixing parameter according to the adjustment amplitude.
8. An apparatus for performing dough mixing tasks, comprising:
the acquisition module is used for acquiring the flour mixing recipes and the environment information of the environment where the intelligent flour mixing equipment is located;
the adjusting module is used for adjusting the dough mixing parameters corresponding to the dough mixing recipes according to the environmental information;
and the execution module is used for executing the dough mixing task corresponding to the dough mixing recipe according to the adjusted dough mixing parameters.
9. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method of any of the preceding claims 1-7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of the preceding claims 1-7 when executing the program.
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| CN117546887A (en) * | 2024-01-12 | 2024-02-13 | 武汉市巽皇食品有限公司 | Automatic dough kneading control method and system based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117546887A (en) * | 2024-01-12 | 2024-02-13 | 武汉市巽皇食品有限公司 | Automatic dough kneading control method and system based on Internet of things |
| CN117546887B (en) * | 2024-01-12 | 2024-03-29 | 武汉市巽皇食品有限公司 | Automatic dough kneading control method and system based on Internet of things |
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