CN113208430A - Beverage proportioning data management method and system for automatic beverage dispenser - Google Patents
Beverage proportioning data management method and system for automatic beverage dispenser Download PDFInfo
- Publication number
- CN113208430A CN113208430A CN202110600040.XA CN202110600040A CN113208430A CN 113208430 A CN113208430 A CN 113208430A CN 202110600040 A CN202110600040 A CN 202110600040A CN 113208430 A CN113208430 A CN 113208430A
- Authority
- CN
- China
- Prior art keywords
- user
- beverage
- beverage machine
- automatic
- automatic beverage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- A47J31/007—Apparatus for making beverages for brewing on a large scale, e.g. for restaurants, or for use with more than one brewing container
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F13/00—Coin-freed apparatus for controlling dispensing or fluids, semiliquids or granular material from reservoirs
- G07F13/06—Coin-freed apparatus for controlling dispensing or fluids, semiliquids or granular material from reservoirs with selective dispensing of different fluids or materials or mixtures thereof
- G07F13/065—Coin-freed apparatus for controlling dispensing or fluids, semiliquids or granular material from reservoirs with selective dispensing of different fluids or materials or mixtures thereof for drink preparation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Food Science & Technology (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Beverage Vending Machines With Cups, And Gas Or Electricity Vending Machines (AREA)
Abstract
A beverage proportioning data management method and system for an automatic beverage machine, the method comprises the following steps: judging whether the automatic beverage machine obtains the purchase intention of the user or not; if so, acquiring the identity characteristics of the user; if not, keeping the current state of the automatic beverage machine, and returning to the step of judging whether the automatic beverage machine obtains the purchase intention of the user; the automatic beverage machine is used for proportioning beverages according to the identity characteristics of the users; acquiring a user position; the automatic beverage machine outputs a beverage according to the user position. According to the beverage proportioning data management method and system for the automatic beverage machine, personalized proportioning beverages can be output according to historical purchase information of users and historical search information of the users, so that great convenience is brought to the users, requirements of the users on different tastes are met, and the method and system have a good market effect.
Description
Technical Field
The invention belongs to the technical field of automatic beverage machines, and particularly relates to a beverage proportioning data management method and system of an automatic beverage machine.
Background
The automatic beverage machine can be seen in various places such as squares, markets and the like, and can provide beverages for people to solve the problem of thirst. However, each beverage provided by the current automatic beverage machine is a fixed proportion, and cannot meet the requirements of various tastes of customers.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method for managing beverage proportioning data of an automatic beverage machine, the method comprising the steps of:
judging whether the automatic beverage machine obtains the purchase intention of the user or not;
if so, acquiring the identity characteristics of the user;
if not, keeping the current state of the automatic beverage machine, and returning to the step of judging whether the automatic beverage machine obtains the purchase intention of the user;
the automatic beverage machine is used for proportioning beverages according to the identity characteristics of the users;
acquiring a user position;
the automatic beverage machine outputs a beverage according to the user position.
Preferably, before the step of determining whether the automatic beverage machine obtains the user's will to purchase, the method comprises the steps of:
storing base beverage mix data in the automated beverage machine;
judging whether a mobile terminal exists in a preset range around the automatic beverage machine or not;
if so, establishing a communication link between the mobile terminal and the automatic beverage machine;
if not, keeping the current state of the automatic beverage machine, and returning to the step of storing basic beverage proportioning data in the automatic beverage machine;
and at least displaying a purchasing program and a browser of the automatic beverage machine on the display interface of the mobile terminal.
Preferably, the step of judging whether the automatic beverage machine obtains the user's will of purchase comprises the steps of:
acquiring the operation of a user on a display interface of the mobile terminal;
judging whether a user clicks a purchasing program of the automatic beverage machine on a display interface of the mobile terminal;
if so, judging that the user has the purchase intention of the automatic beverage machine;
if not, judging that the user does not have the purchase intention of the automatic beverage machine.
Preferably, the step of judging whether the automatic beverage machine obtains the user's will of purchase comprises the steps of:
acquiring the operation of a user on a display interface of the mobile terminal;
judging whether a user searches a browser on a display interface of the mobile terminal for a purchase program of the automatic beverage machine;
if so, judging that the user has the purchase intention of the automatic beverage machine;
if not, judging that the user does not have the purchase intention of the automatic beverage machine.
Preferably, the step of obtaining the identity of the user comprises the steps of:
acquiring product purchase data of a user in a purchase program of the automatic beverage machine in a first time period;
merging the purchased products in the product purchase data according to the product names;
grouping the merged purchased products according to product types;
sorting the purchased products in each group in descending order according to purchase frequency;
summarizing the highest frequency of purchased products in all tenants as a first identity feature;
and calculating the first identity characteristic of the user according to the first identity characteristic.
Preferably, the step of obtaining the identity of the user comprises the steps of:
acquiring product search data of a user in the browser in a second time period;
merging the searched products in the product searching data according to the product names;
grouping the merged search products according to product types;
sorting the search products in each group in a descending order according to the search frequency;
summarizing the search products with the highest frequency in all the sublets as second identity characteristics;
and calculating the second identity characteristic of the user according to the second identity characteristic.
Preferably, the step of obtaining the identity of the user comprises the steps of:
acquiring a first identity characteristic and a second identity characteristic;
acquiring a first weight and a second weight corresponding to the first identity characteristic and the second identity characteristic respectively;
judging whether the first weight is larger than the second weight;
if so, pushing the first identity characteristic to the automatic beverage machine;
and if not, pushing the second identity characteristic to the automatic beverage machine.
Preferably, the proportioning of the beverage by the automatic beverage machine according to the identity of the user comprises the steps of:
acquiring user identity characteristics;
acquiring basic beverage proportioning data;
adding and deleting the basic beverage proportioning data according to the user identity characteristics;
generating feature matching data;
and proportioning the beverage according to the characteristic proportioning data.
Preferably, the beverage automat outputting a beverage according to the user position comprises the steps of:
calculating an orientation of a user relative to the automated beverage machine from the user location;
outputting the beverage from a position facing the user orientation.
The invention also provides a beverage proportioning data management system of the automatic beverage machine, which comprises:
the judging module is used for judging whether the automatic beverage machine obtains the purchase intention of the user or not;
the execution module is used for executing preset operation according to the judgment result of the judgment module;
the beverage proportioning module is used for proportioning the beverage by the automatic beverage machine according to the identity characteristics of the user;
the position acquisition module is used for acquiring the position of a user;
a beverage output module for outputting a beverage by the automatic beverage machine according to the user position;
when the judgment result of the judgment module is yes, the execution module acquires the identity characteristics of the user; and when the judgment result of the judgment module is negative, the execution module keeps the current state of the automatic beverage machine and returns to the step of judging whether the automatic beverage machine obtains the purchase intention of the user.
According to the beverage proportioning data management method and system for the automatic beverage machine, personalized proportioning beverages can be output according to historical purchase information of users and historical search information of the users, so that great convenience is brought to the users, requirements of the users on different tastes are met, and the method and system have a good market effect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for managing beverage formula data of an automatic beverage machine according to the present invention;
fig. 2 is a schematic diagram of the components of a beverage dispenser beverage proportioning data management system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
In an embodiment of the present application, as shown in fig. 1, the present invention provides a beverage ingredient data management method for an automatic beverage machine, the method comprising the steps of:
s1: judging whether the automatic beverage machine obtains the purchase intention of the user or not;
in the embodiment of the present application, before determining whether the automatic beverage machine obtains the user' S desire to purchase in step S1, the method includes the steps of:
storing base beverage mix data in the automated beverage machine;
judging whether a mobile terminal exists in a preset range around the automatic beverage machine or not;
if so, establishing a communication link between the mobile terminal and the automatic beverage machine;
if not, keeping the current state of the automatic beverage machine, and returning to the step of storing basic beverage proportioning data in the automatic beverage machine;
and at least displaying a purchasing program and a browser of the automatic beverage machine on the display interface of the mobile terminal.
In the embodiment of the application, when judging whether the automatic beverage machine obtains the purchase intention of a user, firstly, basic beverage proportioning data are stored in the automatic beverage machine, and whether a mobile terminal exists in a preset range around the automatic beverage machine is judged; when the judgment result is yes, establishing a communication relation between the mobile terminal and the automatic beverage machine; and when the judgment result is no, maintaining the current state of the automatic beverage machine, returning to the step of storing the basic beverage proportioning data in the automatic beverage machine, and then displaying at least a purchase program and a browser of the automatic beverage machine on a display interface of the mobile terminal.
In the embodiment of the present application, the step of determining whether the automatic beverage machine obtains the user' S desire to purchase in step S1 includes the steps of:
acquiring the operation of a user on a display interface of the mobile terminal;
judging whether a user clicks a purchasing program of the automatic beverage machine on a display interface of the mobile terminal;
if so, judging that the user has the purchase intention of the automatic beverage machine;
if not, judging that the user does not have the purchase intention of the automatic beverage machine.
In the embodiment of the application, when judging whether the automatic beverage machine obtains the purchase intention of the user, firstly obtaining the operation of the user on the display interface of the mobile terminal, such as clicking operation, then judging whether the user clicks the purchase program of the automatic beverage machine on the display interface of the mobile terminal, and if so, judging that the user has the purchase intention of the automatic beverage machine; otherwise, judging that the user does not have the purchase intention of the automatic beverage machine.
In the embodiment of the present application, the step of determining whether the automatic beverage machine obtains the user' S desire to purchase in step S1 includes the steps of:
acquiring the operation of a user on a display interface of the mobile terminal;
judging whether a user searches a browser on a display interface of the mobile terminal for a purchase program of the automatic beverage machine;
if so, judging that the user has the purchase intention of the automatic beverage machine;
if not, judging that the user does not have the purchase intention of the automatic beverage machine.
In the embodiment of the application, when judging whether the automatic beverage machine obtains the purchase intention of a user, firstly obtaining the operation of the user on a display interface of the mobile terminal, judging whether the user searches a purchase program of the automatic beverage machine in a browser on the display interface of the mobile terminal, and if so, judging that the user has the purchase intention of the automatic beverage machine; and when the judgment result is no, judging that the user does not have the purchase intention of the automatic beverage machine.
S2: if so, acquiring the identity characteristics of the user;
in this embodiment of the present application, the acquiring of the user identity feature in step S2 includes the steps of:
acquiring product purchase data of a user in a purchase program of the automatic beverage machine in a first time period;
merging the purchased products in the product purchase data according to the product names;
grouping the merged purchased products according to product types;
sorting the purchased products in each group in descending order according to purchase frequency;
summarizing the highest frequency of purchased products in all tenants as a first identity feature;
and calculating the first identity characteristic of the user according to the first identity characteristic.
In the embodiment of the application, when the identity characteristics of the user are obtained, specifically, product purchase data of the user in a purchase program of the automatic beverage machine in a first time period is obtained, and purchased products in the product purchase data are merged according to product names; then grouping the merged purchased products according to product types, and sequencing the purchased products in each group in a descending order according to purchase frequency; the purchased products with the highest frequency in all tenants are then aggregated as a first identity feature, and the first identity feature of the user is derived from the first identity feature.
In this embodiment of the present application, the acquiring of the user identity feature in step S2 includes the steps of:
acquiring product search data of a user in the browser in a second time period;
merging the searched products in the product searching data according to the product names;
grouping the merged search products according to product types;
sorting the search products in each group in a descending order according to the search frequency;
summarizing the search products with the highest frequency in all the sublets as second identity characteristics;
and calculating the second identity characteristic of the user according to the second identity characteristic.
In the embodiment of the application, when the identity characteristics of the user are obtained, specifically, product search data of the user in the browser in a second time period is obtained first, and search products in the product search data are merged according to product names; then grouping the merged search products according to product types, and sequencing the search products in each group in a descending order according to search frequency; and then summarizing the search products with the highest frequency in all the leases as second identity characteristics, and calculating the second identity characteristics of the user according to the second identity characteristics.
In this embodiment of the present application, the acquiring of the user identity feature in step S2 includes the steps of:
acquiring a first identity characteristic and a second identity characteristic;
acquiring a first weight and a second weight corresponding to the first identity characteristic and the second identity characteristic respectively;
judging whether the first weight is larger than the second weight;
if so, pushing the first identity characteristic to the automatic beverage machine;
and if not, pushing the second identity characteristic to the automatic beverage machine.
In the embodiment of the application, when the user identity characteristic is obtained, after a first identity characteristic and a second identity characteristic are obtained, a first weight and a second weight corresponding to the first identity characteristic and the second identity characteristic respectively are obtained, and whether the first weight is greater than the second weight is judged; when the first identity characteristic is judged to be positive, pushing the first identity characteristic to the automatic beverage machine; and when the judgment result is yes, pushing the second identity characteristic to the automatic beverage machine.
S3: if not, keeping the current state of the automatic beverage machine, and returning to the step of judging whether the automatic beverage machine obtains the purchase intention of the user;
in the embodiment of the application, when the automatic beverage machine is judged not to acquire the purchase intention of the user, the current state of the automatic beverage machine is maintained, and the step of judging whether the automatic beverage machine acquires the purchase intention of the user is returned.
S4: the automatic beverage machine is used for proportioning beverages according to the identity characteristics of the users;
in the embodiment of the present application, the step S4 of proportioning the beverage by the automatic beverage machine according to the identity of the user includes the steps of:
acquiring user identity characteristics;
acquiring basic beverage proportioning data;
adding and deleting the basic beverage proportioning data according to the user identity characteristics;
generating feature matching data;
and proportioning the beverage according to the characteristic proportioning data.
In this embodiment of the application, when the automatic beverage machine mixes beverages according to the user identity characteristics, specifically, first, user identity characteristics and basic beverage mixing data are obtained, the basic beverage mixing data are beverage fixed mixing data pre-stored in the beverage machine, then the basic beverage mixing data are added or deleted according to the user identity characteristics, that is, the fixed mixing data are added or deleted according to the user identity characteristics, feature mixing data are generated, and then beverages are mixed according to the feature mixing data.
S5: acquiring a user position;
in the embodiment of the application, the position of the user can be acquired by acquiring the position information of the mobile terminal of the user.
S6: the automatic beverage machine outputs a beverage according to the user position.
In an embodiment of the present application, the beverage automatic dispenser in step S6 outputting a beverage according to the user position includes the steps of:
calculating an orientation of a user relative to the automated beverage machine from the user location;
outputting the beverage from a position facing the user orientation.
In the embodiment of the application, when the beverage dispenser outputs the beverage according to the user position, specifically, the position of the user relative to the beverage dispenser is calculated according to the user position, namely the specific position of the user on the left side, the right side and the like of the beverage dispenser is calculated, and then the beverage is output from the position opposite to the user position.
In an embodiment of the present application, as shown in fig. 2, the present invention further provides a beverage ingredient data management system for an automatic beverage machine, the system comprising:
the judging module 10 is used for judging whether the automatic beverage machine obtains the purchase intention of the user;
an executing module 20, configured to execute a preset operation according to the determination result of the determining module 10;
a beverage proportioning module 30 for proportioning the beverage according to the user identity characteristics of the automatic beverage machine;
a position obtaining module 40, configured to obtain a user position;
a beverage output module 50 for outputting a beverage according to the user position by the automatic beverage machine;
when the judgment result of the judgment module 10 is yes, the execution module 20 obtains the user identity feature; when the judgment result of the judgment module 10 is negative, the execution module 20 keeps the current state of the automatic beverage machine, and returns to the step of judging whether the automatic beverage machine obtains the user's purchase intention.
In the embodiment of the present application, the present invention provides a beverage ratio data management system of an automatic beverage machine, which can be implemented by using the beverage ratio data management method of the automatic beverage machine, and is not described herein again.
According to the beverage proportioning data management method and system for the automatic beverage machine, personalized proportioning beverages can be output according to historical purchase information of users and historical search information of the users, so that great convenience is brought to the users, requirements of the users on different tastes are met, and the method and system have a good market effect.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. A method of managing beverage mix data for an automated beverage machine, the method comprising the steps of:
judging whether the automatic beverage machine obtains the purchase intention of the user or not;
if so, acquiring the identity characteristics of the user;
if not, keeping the current state of the automatic beverage machine, and returning to the step of judging whether the automatic beverage machine obtains the purchase intention of the user;
the automatic beverage machine is used for proportioning beverages according to the identity characteristics of the users;
acquiring a user position;
the automatic beverage machine outputs a beverage according to the user position.
2. The beverage dispenser ratio data management method according to claim 1, comprising, before the determining whether the beverage dispenser has acquired the user's will to purchase, the steps of:
storing base beverage mix data in the automated beverage machine;
judging whether a mobile terminal exists in a preset range around the automatic beverage machine or not;
if so, establishing a communication link between the mobile terminal and the automatic beverage machine;
if not, keeping the current state of the automatic beverage machine, and returning to the step of storing basic beverage proportioning data in the automatic beverage machine;
and at least displaying a purchasing program and a browser of the automatic beverage machine on the display interface of the mobile terminal.
3. The beverage dispenser ratio data management method of claim 1, wherein the determining whether the beverage dispenser obtains a user's will to purchase comprises the steps of:
acquiring the operation of a user on a display interface of the mobile terminal;
judging whether a user clicks a purchasing program of the automatic beverage machine on a display interface of the mobile terminal;
if so, judging that the user has the purchase intention of the automatic beverage machine;
if not, judging that the user does not have the purchase intention of the automatic beverage machine.
4. The beverage dispenser ratio data management method of claim 1, wherein the determining whether the beverage dispenser obtains a user's will to purchase comprises the steps of:
acquiring the operation of a user on a display interface of the mobile terminal;
judging whether a user searches a browser on a display interface of the mobile terminal for a purchase program of the automatic beverage machine;
if so, judging that the user has the purchase intention of the automatic beverage machine;
if not, judging that the user does not have the purchase intention of the automatic beverage machine.
5. The beverage dispenser ratio data management method according to claim 1, wherein the obtaining of the user identity characteristic comprises the steps of:
acquiring product purchase data of a user in a purchase program of the automatic beverage machine in a first time period;
merging the purchased products in the product purchase data according to the product names;
grouping the merged purchased products according to product types;
sorting the purchased products in each group in descending order according to purchase frequency;
summarizing the highest frequency of purchased products in all tenants as a first identity feature;
and calculating the first identity characteristic of the user according to the first identity characteristic.
6. The beverage dispenser ratio data management method according to claim 1, wherein the obtaining of the user identity characteristic comprises the steps of:
acquiring product search data of a user in the browser in a second time period;
merging the searched products in the product searching data according to the product names;
grouping the merged search products according to product types;
sorting the search products in each group in a descending order according to the search frequency;
summarizing the search products with the highest frequency in all the sublets as second identity characteristics;
and calculating the second identity characteristic of the user according to the second identity characteristic.
7. The beverage dispenser ratio data management method according to claim 1, wherein the obtaining of the user identity characteristic comprises the steps of:
acquiring a first identity characteristic and a second identity characteristic;
acquiring a first weight and a second weight corresponding to the first identity characteristic and the second identity characteristic respectively;
judging whether the first weight is larger than the second weight;
if so, pushing the first identity characteristic to the automatic beverage machine;
and if not, pushing the second identity characteristic to the automatic beverage machine.
8. The beverage dispenser of claim 1, wherein the beverage dispenser proportioning beverages according to the user identity characteristic comprises the steps of:
acquiring user identity characteristics;
acquiring basic beverage proportioning data;
adding and deleting the basic beverage proportioning data according to the user identity characteristics;
generating feature matching data;
and proportioning the beverage according to the characteristic proportioning data.
9. The beverage dispenser ratio data management method according to claim 8, wherein the beverage dispenser outputting a beverage according to the user location comprises the steps of:
calculating an orientation of a user relative to the automated beverage machine from the user location;
outputting the beverage from a position facing the user orientation.
10. A beverage dispenser beverage mix data management system, the system comprising:
the judging module is used for judging whether the automatic beverage machine obtains the purchase intention of the user or not;
the execution module is used for executing preset operation according to the judgment result of the judgment module;
the beverage proportioning module is used for proportioning the beverage by the automatic beverage machine according to the identity characteristics of the user;
the position acquisition module is used for acquiring the position of a user;
a beverage output module for outputting a beverage by the automatic beverage machine according to the user position;
when the judgment result of the judgment module is yes, the execution module acquires the identity characteristics of the user; and when the judgment result of the judgment module is negative, the execution module keeps the current state of the automatic beverage machine and returns to the step of judging whether the automatic beverage machine obtains the purchase intention of the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600040.XA CN113208430A (en) | 2021-05-31 | 2021-05-31 | Beverage proportioning data management method and system for automatic beverage dispenser |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110600040.XA CN113208430A (en) | 2021-05-31 | 2021-05-31 | Beverage proportioning data management method and system for automatic beverage dispenser |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113208430A true CN113208430A (en) | 2021-08-06 |
Family
ID=77082000
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110600040.XA Pending CN113208430A (en) | 2021-05-31 | 2021-05-31 | Beverage proportioning data management method and system for automatic beverage dispenser |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113208430A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1378430A (en) * | 1999-08-14 | 2002-11-06 | 宝洁公司 | Methods and systems for utilizing delayed dilution to provide customized varieties of fresh-brewed coffee on demand |
| JP2005258803A (en) * | 2004-03-11 | 2005-09-22 | Nec Corp | Purchase information management system and purchase information management method |
| CN106910108A (en) * | 2017-01-24 | 2017-06-30 | 武汉奇米网络科技有限公司 | A kind of items list methods of exhibiting and system |
| CN107369254A (en) * | 2010-12-16 | 2017-11-21 | 布里格有限公司 | The apparatus and method made for modulating drink and concentrated coffee drink |
| CN109166007A (en) * | 2018-08-23 | 2019-01-08 | 深圳码隆科技有限公司 | A kind of Method of Commodity Recommendation and its device based on automatic vending machine |
| CN111222839A (en) * | 2019-11-05 | 2020-06-02 | 异起(上海)智能科技有限公司 | Method and device for running legs or remotely replacing work |
| CN112102025A (en) * | 2020-07-10 | 2020-12-18 | 齐喝彩(上海)管理咨询有限公司 | Remote purchase method and system for unmanned vending machine |
-
2021
- 2021-05-31 CN CN202110600040.XA patent/CN113208430A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1378430A (en) * | 1999-08-14 | 2002-11-06 | 宝洁公司 | Methods and systems for utilizing delayed dilution to provide customized varieties of fresh-brewed coffee on demand |
| JP2005258803A (en) * | 2004-03-11 | 2005-09-22 | Nec Corp | Purchase information management system and purchase information management method |
| CN107369254A (en) * | 2010-12-16 | 2017-11-21 | 布里格有限公司 | The apparatus and method made for modulating drink and concentrated coffee drink |
| CN106910108A (en) * | 2017-01-24 | 2017-06-30 | 武汉奇米网络科技有限公司 | A kind of items list methods of exhibiting and system |
| CN109166007A (en) * | 2018-08-23 | 2019-01-08 | 深圳码隆科技有限公司 | A kind of Method of Commodity Recommendation and its device based on automatic vending machine |
| CN111222839A (en) * | 2019-11-05 | 2020-06-02 | 异起(上海)智能科技有限公司 | Method and device for running legs or remotely replacing work |
| CN112102025A (en) * | 2020-07-10 | 2020-12-18 | 齐喝彩(上海)管理咨询有限公司 | Remote purchase method and system for unmanned vending machine |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105677831B (en) | Method and device for determining recommended merchants | |
| CN110569432B (en) | Commodity sequence calculating method, commodity sequence calculating device, computer equipment and storage medium | |
| CN107656969A (en) | A kind of information recommendation method and device | |
| CN103188626B (en) | Mobile phone advertisement distribution system, method and device, data maintaining method and device | |
| CN105761099A (en) | Business information recommendation system and method based on behavior data of multi-business channel | |
| CN108229876B (en) | E-commerce transaction method and E-commerce transaction system based on big data | |
| US10223726B2 (en) | Information provisioning device, method, and medium for evaluating and estimating gift candidates | |
| CN111507772A (en) | Coupon management method, device and storage medium | |
| CN107481052A (en) | A kind of transmitting advertisement information method and terminal | |
| CN103970767A (en) | Network commodity transaction system | |
| JP2002534743A (en) | Online ordering system especially for grocery stores and how to operate this type of online ordering system | |
| CN111522735B (en) | Shunting method and device for test experiment | |
| CN110210887A (en) | A kind of processing method and processing device of user's right data | |
| WO2021129531A1 (en) | Resource allocation method, apparatus, device, storage medium and computer program | |
| CN111753210A (en) | Resource pushing method and device, computer equipment and computer readable storage medium | |
| CN103810626A (en) | Method for online shopping and online shopping intermediary | |
| CN111460301B (en) | Object pushing method and device, electronic equipment and storage medium | |
| CN109325822A (en) | Drug buys automatic matching method, device, electronic equipment and storage medium | |
| CN107330769A (en) | Client's marketing management system that a kind of network is sold directly to households | |
| WO2005055099A1 (en) | System and method for processing a price information request | |
| CN109447722A (en) | A kind of merchandise valuation method of electric business platform | |
| CN109409957A (en) | A kind of method for sending information, information transmitting apparatus, server and storage medium | |
| CN113208430A (en) | Beverage proportioning data management method and system for automatic beverage dispenser | |
| CN106104618A (en) | A kind of method setting up interactive relation and interactive device | |
| US20230196439A1 (en) | System for dynamically generating recommendations to purchase sustainable items |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |