CN111297194A - Intelligent coffee machine system - Google Patents
Intelligent coffee machine system Download PDFInfo
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- CN111297194A CN111297194A CN201911357544.2A CN201911357544A CN111297194A CN 111297194 A CN111297194 A CN 111297194A CN 201911357544 A CN201911357544 A CN 201911357544A CN 111297194 A CN111297194 A CN 111297194A
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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
- A47J31/00—Apparatus for making beverages
- A47J31/40—Beverage-making apparatus with dispensing means for adding a measured quantity of ingredients, e.g. coffee, water, sugar, cocoa, milk, tea
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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
- A47J31/00—Apparatus for making beverages
- A47J31/44—Parts or details or accessories of beverage-making apparatus
- A47J31/4403—Constructional details
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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
- A47J31/00—Apparatus for making beverages
- A47J31/44—Parts or details or accessories of beverage-making apparatus
- A47J31/52—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus
- A47J31/521—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus the electronic control being performed over a network, e.g. by means of a computer or a handheld device
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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
- A47J31/00—Apparatus for making beverages
- A47J31/44—Parts or details or accessories of beverage-making apparatus
- A47J31/52—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus
- A47J31/525—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus the electronic control being based on monitoring of specific process parameters
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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
- A47J2201/00—Devices having a modular construction
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- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- General Engineering & Computer Science (AREA)
- Apparatus For Making Beverages (AREA)
Abstract
The invention discloses an intelligent coffee machine system, which comprises a coffee machine body, a communication module, a processor and a memory, wherein the communication module, the processor and the memory are arranged in the coffee machine body, executable codes are stored in the memory, and the executable codes can be executed by the processor to realize the following steps: acquiring initial coffee brewing parameters set by a user; controlling an intelligent coffee machine to brew coffee according to the initial coffee brewing parameters, and sending brewing completion information to a corresponding user terminal after brewing is completed so as to generate a taste evaluation interface on the user terminal; acquiring taste evaluation information generated by a user based on the taste evaluation interface; and reading a taste-coffee brewing parameter mapping table corresponding to the current coffee type, and adjusting the initial coffee brewing parameter set by the user according to the taste evaluation information and the taste-coffee brewing parameter mapping table.
Description
Technical Field
The invention relates to the field of coffee machines, in particular to an intelligent coffee machine system.
Background
Coffee is one of three major beverages in the world, is a beverage made from roasted coffee beans, and is popular with cocoa and tea in the world. The coffee has the function of refreshing, so that young people can pass high-intensity days every day for life, the coffee can help people to concentrate and pay more attention, and people can feel relaxed in a short time when the people are sleepy or too tired.
In order to meet the requirement of people on coffee brewing, various intelligent coffee machines are available on the market, and the intelligent coffee machines can automatically brew coffee according to parameters set by people. However, unlike tea making, the whole brewing process of coffee is relatively complex, involving the setting of a plurality of parameters (such as water temperature, water amount, powder weight, grinding degree, sugar addition amount, milk addition amount, etc.), and the brewing parameters of different types of coffee are also different, and different people have different taste requirements for coffee, so that for novice users, when facing a coffee machine, the users are likely to be unsuitable, the users may need to search for coffee brewing parameters meeting their own taste after a long time, and the user experience is not good.
Disclosure of Invention
In view of the above problems, the present invention provides an intelligent coffee maker system, which enables a user to quickly obtain coffee brewing parameters meeting the taste requirements of the user.
The embodiment of the invention provides an intelligent coffee machine system, which comprises a coffee machine body, a communication module, a processor and a memory, wherein the communication module, the processor and the memory are arranged in the coffee machine body, the communication module and the memory are connected with the processor, executable codes are stored in the memory, and the executable codes can be executed by the processor to realize the following steps:
acquiring initial coffee brewing parameters set by a user through a communication module;
controlling an intelligent coffee machine to brew coffee according to the initial coffee brewing parameters, and sending brewing completion information to a corresponding user terminal after brewing is completed so as to generate a taste evaluation interface on the user terminal; wherein the mouthfeel assessment interface comprises at least one mouthfeel assessment item;
acquiring taste evaluation information generated by a user based on the taste evaluation interface; the mouthfeel evaluation information comprises at least one mouthfeel evaluation item and a corresponding mouthfeel degree word;
and reading a taste-coffee brewing parameter mapping table corresponding to the current coffee type, and adjusting the initial coffee brewing parameter set by the user according to the taste evaluation information and the taste-coffee brewing parameter mapping table, so that the adjusted coffee brewing parameter can potentially better meet the taste requirement of the user.
Preferably, the coffee brewing parameters comprise water temperature, water quantity, powder weight, grinding degree, sugar adding quantity and milk adding quantity; the taste evaluation items include coffee alcohol degree, coffee aroma, astringent feeling, sweetness, and bitterness degree.
Preferably, the taste sensation-coffee brewing parameter mapping table defines coffee brewing parameters affecting each taste sensation and the degree of influence thereof, and defines parameter adjustment values of the respective coffee brewing parameters corresponding to the taste sensation degree words.
Preferably, the steps further comprise:
after reading a taste-coffee brewing parameter mapping table corresponding to the current coffee type and adjusting initial coffee brewing parameters set by a user according to the taste evaluation information and the taste-coffee brewing parameter mapping table, the method further comprises the following steps:
when the taste evaluation information of the same taste evaluation item by the user is received again, carrying out personalized optimization on the adjustment value according to the taste degree word in the taste evaluation information; when the taste degree word is the same as the last taste degree word, the parameter adjustment value is increased, and when the taste degree word is opposite to the last taste degree word, the parameter adjustment value is decreased;
and synchronizing the parameter adjustment value to a taste-coffee brewing parameter mapping table of different coffee types.
Preferably, the method further comprises the following steps:
acquiring health state data uploaded by a user through a user terminal;
judging whether all the coffee brewing parameters are matched with the health state data or not; and
and adjusting the unmatched coffee brewing parameters, and sending the adjusted result to the user terminal.
Preferably, the intelligent coffee machine is further provided with a sound pick-up, the sound pick-up is connected with the processor, and a user is allowed to control the work of the intelligent coffee machine through the sound pick-up through voice; said steps further comprise:
acquiring voice data sent by a user through a sound pick-up;
identifying the voice data to acquire the current fatigue degree of the user;
and temporarily adjusting the coffee brewing parameters according to the fatigue degree so as to adjust the concentration of the prepared coffee.
Preferably, the communication module is an NFC module, and the user terminal and the intelligent coffee machine perform data transmission through NFC; or
The communication module is a wifi module, and the user terminal and the intelligent coffee machine transmit data through a cloud server or a local area network.
Preferably, the intelligent coffee machine is further provided with a camera, and the camera is connected with the processor; said steps further comprise:
acquiring identity information of a user currently solved through a camera;
and calling the coffee brewing parameters corresponding to the identity information according to the identity information.
The intelligent coffee machine provided by the embodiment automatically adjusts relevant coffee brewing parameters according to the evaluation by obtaining the evaluation of the user on coffee brewed, so that the user can rapidly brew coffee meeting personal taste requirements even if the user is unfamiliar with the coffee brewing condition, and the use experience of the user is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of an intelligent coffee machine system according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating the operation of an intelligent coffee maker according to an embodiment of the present invention.
Fig. 3 is a schematic view of a taste evaluation interface according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
Referring to fig. 1 and fig. 2, an embodiment of the present invention provides an intelligent coffee machine system, including a coffee machine body, and a communication module 10, a processor 20, and a memory 30 disposed in the coffee machine body, wherein the communication module 10 and the memory 30 are both connected to the processor 20, the memory 30 stores executable codes, and the executable codes can be executed by the processor 20 to implement the following steps:
and S101, acquiring initial coffee brewing parameters set by a user.
In this embodiment, generally, various buttons are provided on the intelligent coffee machine or a touch screen is provided for a user to set coffee brewing parameters. Of course, the user may also effect the setting of the coffee brewing parameters by means of said communication module 10.
In one implementation, the communication module 10 may be an NFC module, and the user may send the coffee brewing parameters set by the user on the user terminal to the intelligent coffee machine through a user terminal (such as a smart phone) with NFC function as well.
In another implementation manner, the communication module 10 may be a wifi module, and the intelligent coffee maker system may be connected to the user terminal through a local area network or a cloud server, so as to set coffee brewing parameters. For convenience of explanation, the following description will be given taking this implementation as an example.
In this embodiment, the coffee brewing parameters may include water temperature, water amount, powder weight, grinding degree, sugar adding amount, milk adding amount, and the like, which are specifically determined by different coffee types, and the details of the present invention are not repeated herein.
S102, controlling the intelligent coffee machine to brew coffee according to the coffee brewing parameters, and sending brewing completion information to a corresponding user terminal after brewing is completed so as to generate a taste evaluation interface on the user terminal; wherein the mouthfeel assessment interface comprises at least one mouthfeel assessment item, each mouthfeel assessment item having at least one mouthfeel extent word.
In this embodiment, after the intelligent coffee machine obtains the coffee brewing parameters set by the user, the intelligent coffee machine can control the coffee brewing, after the coffee brewing is completed, the intelligent coffee machine sends brewing completion information to the user terminal, and meanwhile, a taste evaluation interface is displayed on the user terminal so that the user can evaluate the brewed coffee.
As shown in fig. 3, the mouthfeel evaluation interface has at least one mouthfeel evaluation item, and a user can input a mouthfeel degree word for the mouthfeel evaluation item. For example, the taste evaluation item may include coffee alcohol degree, coffee aroma, astringency, sweetness, bitterness degree. The term of degree of mouthfeel is used to evaluate the corresponding mouthfeel, such as a little lack of coffee alcohol degree, insufficient coffee aroma, too bitter taste, etc.
S103, acquiring taste evaluation information generated by a user based on the taste evaluation interface; the mouthfeel evaluation information comprises at least one mouthfeel evaluation item and a corresponding mouthfeel degree word.
And S104, reading a taste-coffee brewing parameter mapping table corresponding to the current coffee type, and adjusting initial coffee brewing parameters set by a user according to the taste evaluation information and the taste-coffee brewing parameter mapping table, so that the adjusted coffee brewing parameters can potentially better meet the taste requirements of the user.
In this embodiment, a taste-coffee brewing parameter mapping table corresponding to each coffee type is provided in the intelligent coffee maker, and the taste-coffee brewing parameter mapping table defines coffee brewing parameters affecting each taste and defines parameter adjustment values of each coffee brewing parameter corresponding to the taste degree words.
After receiving taste evaluation information sent by a user, the intelligent coffee machine inquires a taste-coffee brewing parameter mapping table corresponding to the current coffee type, and then inquires coffee brewing parameters corresponding to the current taste in the taste-coffee brewing parameter mapping table. And then, determining parameter adjustment values corresponding to the coffee brewing parameters according to the taste degree words, and finally adjusting the coffee brewing parameters by using the parameter adjustment values.
For example, if the taste evaluation information sent by the user indicates that the sweetness of the coffee is slightly sweet, the intelligent coffee machine determines that the coffee brewing parameter corresponding to the taste is the sugar adding amount, and the corresponding parameter adjustment value is reduced by 10%, so that the intelligent coffee machine adjusts the sugar adding amount according to the adjustment. If the taste evaluation information sent by the user indicates that the sweetness of the coffee is too sweet, the intelligent coffee machine judges that the coffee brewing parameter corresponding to the taste is the sugar adding amount, the corresponding parameter adjustment value is reduced by 30%, and the intelligent coffee machine adjusts the sugar adding amount according to the adjustment value.
Of course, it should be noted that the taste of the coffee may be related to a plurality of coffee brewing parameters, and the plurality of coffee brewing parameters may be adjusted at the same time, which is not described herein again.
In summary, the intelligent coffee maker provided by this embodiment automatically adjusts the relevant coffee brewing parameters according to the evaluation by obtaining the evaluation of the user on the brewed coffee, so that the user can rapidly brew coffee meeting the personal taste requirement even if the user is unfamiliar with the coffee brewing, and the use experience of the user is improved.
Preferably, the method further comprises the following steps:
when the taste evaluation information of the same taste evaluation item by the user is received again, carrying out personalized optimization on the adjustment value according to the taste degree word in the taste evaluation information; when the taste degree word is the same as the last taste degree word, the parameter adjustment value is increased, and when the taste degree word is opposite to the last taste degree word, the parameter adjustment value is decreased;
and synchronizing the parameter adjustment value to a taste-coffee brewing parameter mapping table of different coffee types.
In this embodiment, since each user has different understanding and acceptance of taste, the given taste evaluation words have different meanings. For example, if the amount of sugar is adjusted down by 30% for user a who gives coffee with too sweet taste, user a may be evaluated to give insufficient sweetness at the next time of brewing coffee. Whereas for user B, when he gives a somewhat sweet taste to the coffee, if the amount of sugar is adjusted down by 10%, an evaluation may occur that user B still gives too sweet after the next coffee brewing.
Therefore, in the embodiment, when the user sends out the evaluation which does not meet the taste requirement of the same taste evaluation item for two or more times, the intelligent coffee machine adjusts the taste receiving degree of the user according to the evaluation, namely adjusts the parameter adjusting value corresponding to the taste degree word, so that the coffee brewing parameters meeting the taste of the user can be found more quickly.
For example, for user a, its parameter adjustment value will be adjusted down, and for user B, its parameter adjustment value will be adjusted up. Meanwhile, in consideration of the consistency of the tastes of the users, the intelligent coffee machine can synchronize the parameter adjusting value to the taste-coffee brewing parameter mapping table of other coffee types so as to accelerate the users to obtain the coffee meeting the taste.
Preferably, the method further comprises the following steps:
acquiring health state data uploaded by a user through a user terminal;
judging whether all the coffee brewing parameters are matched with the health state data or not; and
and adjusting the unmatched coffee brewing parameters, and sending the adjusted result to the user terminal.
In this embodiment, for some users with health risks, they may not know how to set the coffee brewing parameters to have no impact on their health, for example, a patient with diabetes may not know how much or not to add sugar. At this time, the user can input the health state data through the user terminal, the intelligent coffee machine can analyze the coffee brewing parameters set by the user according to the health state data of the user, and adjust the coffee brewing parameters which are not suitable for the current health state data of the user, such as reducing the sugar adding amount.
Preferably, the intelligent coffee machine is further provided with a sound pick-up 40, wherein the sound pick-up 40 is connected with the processor 20 and allows a user to control the work of the intelligent coffee machine through the sound pick-up 40 through voice; said steps further comprise:
acquiring voice data sent by a user through a sound pick-up;
identifying the voice data to acquire the current fatigue degree of the user;
and temporarily adjusting the coffee brewing parameters according to the fatigue degree so as to adjust the concentration of the prepared coffee.
In this embodiment, when the user controls the intelligent coffee machine to work through voice, the intelligent coffee machine analyzes the current fatigue degree of the user according to the voice data of the user, and if the user is judged to be in a relatively fatigue state currently, the intelligent coffee machine temporarily adjusts the concentration of coffee, so that the user can obtain a relatively good mental state.
The fatigue recognition based on voice can be realized by training voice samples containing fatigue and non-fatigue through a neural network model, and related research results exist at present, and the invention is not repeated herein.
Preferably, the intelligent coffee machine is further provided with a camera 50, and the camera 50 is connected with the processor 20; said steps further comprise:
acquiring identity information of a user currently solved through a camera;
and calling the coffee brewing parameters corresponding to the identity information according to the identity information.
In this embodiment, considering that the intelligent coffee maker is usually used by multiple people, such as the common use of people in an office or the common use of multiple family members, and the coffee brewing parameters of each person are certainly different, the present embodiment obtains the identity information of the user by adding the camera 50 and by face recognition, and calls the coffee brewing parameters of the user who needs to use the intelligent coffee maker according to the identity information, so that the user can obtain the coffee brewing parameters required by the user without additional settings, and the user experience is improved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (8)
1. An intelligent coffee machine system, comprising a coffee machine body, characterized by further comprising a communication module, a processor and a memory arranged in the coffee machine body, wherein the communication module and the memory are connected with the processor, the memory stores executable code, and the executable code can be executed by the processor to realize the following steps:
acquiring initial coffee brewing parameters set by a user;
controlling an intelligent coffee machine to brew coffee according to the initial coffee brewing parameters, and sending brewing completion information to a corresponding user terminal after brewing is completed so as to generate a taste evaluation interface on the user terminal; wherein the mouthfeel assessment interface comprises at least one mouthfeel assessment item;
acquiring taste evaluation information generated by a user based on the taste evaluation interface; the mouthfeel evaluation information comprises at least one mouthfeel evaluation item and a corresponding mouthfeel degree word;
and reading a taste-coffee brewing parameter mapping table corresponding to the current coffee type, and adjusting the initial coffee brewing parameter set by the user according to the taste evaluation information and the taste-coffee brewing parameter mapping table, so that the adjusted coffee brewing parameter can better meet the taste requirement of the user.
2. The intelligent coffee machine system of claim 1, wherein the coffee brewing parameters include water temperature, water volume, powder weight, grind size, sugar add amount, milk add amount; the taste evaluation items include coffee alcohol degree, coffee aroma, astringent feeling, sweetness, and bitterness degree.
3. The intelligent coffee brewing method according to claim 1, wherein the taste sensation-coffee brewing parameter mapping table defines coffee brewing parameters affecting each taste sensation, and defines parameter adjustment values of the coffee brewing parameters corresponding to the taste sensation degree words.
4. The intelligent coffee machine system of claim 3, said steps further comprising:
after reading a taste-coffee brewing parameter mapping table corresponding to the current coffee type and adjusting initial coffee brewing parameters set by a user according to the taste evaluation information and the taste-coffee brewing parameter mapping table, the method further comprises the following steps:
when the taste evaluation information of the same taste evaluation item by the user is received again, carrying out personalized optimization on the adjustment value according to the taste degree word in the taste evaluation information; when the taste degree word is the same as the last taste degree word, the parameter adjustment value is increased, and when the taste degree word is opposite to the last taste degree word, the parameter adjustment value is decreased;
and synchronizing the parameter adjustment value to a taste-coffee brewing parameter mapping table of different coffee types.
5. The intelligent coffee machine system of claim 1, further comprising:
acquiring health state data uploaded by a user through a user terminal;
judging whether all the coffee brewing parameters are matched with the health state data or not; and
and adjusting the unmatched coffee brewing parameters, and sending the adjusted result to the user terminal.
6. The intelligent coffee machine system of claim 1, further provided with a sound pickup connected to the processor and allowing a user to control the operation of the intelligent coffee machine system by voice through the sound pickup; said steps further comprise:
acquiring voice data sent by a user through a sound pick-up;
identifying the voice data to acquire the current fatigue degree of the user;
and temporarily adjusting the coffee brewing parameters according to the fatigue degree so as to adjust the concentration of the prepared coffee.
7. The intelligent coffee machine system according to claim 1, wherein the communication module is an NFC module, and the user terminal and the intelligent coffee machine perform data transmission through NFC; or
The communication module is a wifi module, and the user terminal and the intelligent coffee machine transmit data through a cloud server or a local area network.
8. The intelligent coffee machine system of claim 1, wherein the intelligent coffee machine is further provided with a camera, the camera being connected with the processor; said steps further comprise:
acquiring identity information of a user currently solved through a camera;
and calling the coffee brewing parameters corresponding to the identity information according to the identity information.
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