CN112348634A - Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium - Google Patents

Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium Download PDF

Info

Publication number
CN112348634A
CN112348634A CN202011191951.3A CN202011191951A CN112348634A CN 112348634 A CN112348634 A CN 112348634A CN 202011191951 A CN202011191951 A CN 202011191951A CN 112348634 A CN112348634 A CN 112348634A
Authority
CN
China
Prior art keywords
food
video
user
intelligent
ordering method
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
Application number
CN202011191951.3A
Other languages
Chinese (zh)
Inventor
傅峰峰
江志强
何静子
肖志鹏
郑佳鑫
余国满
蔡顺发
陈鑫武
郑莉菲
谭家宁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Fugang Life Intelligent Technology Co Ltd
Original Assignee
Guangzhou Fugang Wanjia Intelligent Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangzhou Fugang Wanjia Intelligent Technology Co Ltd filed Critical Guangzhou Fugang Wanjia Intelligent Technology Co Ltd
Priority to CN202011191951.3A priority Critical patent/CN112348634A/en
Publication of CN112348634A publication Critical patent/CN112348634A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635Processing of requisition or of purchase orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73Querying
    • G06F16/735Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73Querying
    • G06F16/738Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/472End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Computational Linguistics (AREA)
  • Library & Information Science (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an intelligent food ordering method, a server, automatic food making equipment, a user terminal, an intelligent food ordering system and a storage medium. The intelligent food ordering method comprises the following steps: and (3) outputting food information: outputting information of a plurality of types of food which can be made by the automatic food making equipment to a user for the user to select; video request step: receiving a video request made by a user for at least one type of food which can be made by automatic food making equipment; a video acquisition step: acquiring a food making video obtained by shooting the making process of food related to the food in the order of the automatic food making equipment in the automatic food making equipment; video output step: outputting the food making video to a user who makes a video request; an order obtaining step: an order generated from a food product selected by a user is obtained. The food intelligent ordering method can assist a user in selecting foods of a heart instrument.

Description

Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium
Technical Field
The invention relates to the technical field of automatic food making, in particular to an intelligent food ordering method, a server, automatic food making equipment, a user terminal, an intelligent food ordering system and a storage medium.
Background
In daily life, some people often do not know what to order or do knots back and forth between several dishes when ordering for take-away. Usually, the take-out merchant only gives out the dish pictures, which are specially shot in the past, even some dish pictures are downloaded on the internet, and the dish pictures actually produced on the same day are often far from the pictures. The user can be very vexed when the user tangles whether a certain dish is essential, and can not make a decision according to the dish condition on the same day.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an intelligent food ordering method, a corresponding intelligent food ordering system, a computer readable storage medium for storing a computer program for realizing the method when the computer program is executed by a processor, and a server, automatic food making equipment and a user terminal which use the storage medium.
In order to solve the technical problem, the intelligent food ordering method comprises the following steps of:
and (3) outputting food information: outputting information of a plurality of types of food which can be made by automatic food making equipment to a user for the user to select;
video request step: receiving a video request made by the user for at least one type of food which can be made by the automatic food making equipment;
a video acquisition step: acquiring a food making video obtained by shooting the making process of food related to the food in the order of the automatic food making equipment in the automatic food making equipment;
video output step: outputting the food preparation video to the user who made the video request;
an order obtaining step: an order generated from the food selected by the user is obtained.
Further, the food related to the food is specifically the food, or is a staple food and/or a food made in the same way as the food.
Further, the food preparation video is obtained within a preset time period.
Further, the video request includes the preset time period range parameter.
Further, the preset time period range is a time period range after the video request is made, and before the video acquiring step, the method further comprises an order monitoring step of: and monitoring the orders within the preset time period range, and executing the video acquisition step and the video output step if the orders containing the food related to the food are monitored by other users.
Further, the video output step is specifically to acquire the shot video in real time and output the video to the user in real time during the execution of the video acquisition step, so as to realize live video broadcast of the food related to the food.
Further, if it is monitored that the user who makes the video request stops the video request within the preset time period, the video acquisition step and the video output step are stopped.
Further, in the step of outputting the food information, a video request interface is provided for the user corresponding to at least one type of the food which can be made by the automatic food making equipment, so that the user can make a video request.
Further, the video request interface has a parameter setting entry for the user to input a preset time period range parameter, and the video request interface can trigger a corresponding video request according to the preset time period range parameter input by the user.
A server comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor implementing the food intelligent ordering method as described above when executing the computer program.
An automatic food making device comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the intelligent food ordering method.
A user terminal comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the processor implementing the intelligent food ordering method as described above when executing the computer program.
The server is in communication connection with the user terminal and the automatic food making equipment, the server is the server, the camera device is used for shooting the food in the making process in the automatic food making equipment, and the user terminal is the user terminal.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the method for intelligent ordering of food products as described above.
By utilizing the food intelligent ordering method, when a user selects food, a video request can be made for at least one type of food which can be made by the automatic food making equipment, and the food making video obtained by shooting the food related to the type of food in the order of the automatic food making equipment in the process of making the food in the automatic food making equipment is requested to be obtained. The food making video is a food making video of orders placed by other users, and can truly reflect the food material freshness, the making process and the final product phase of the food, so that the user can visually see the related information of the food which the user wants, measure whether the food accords with the mind of the user, and finally select the food of the psychoscope.
Drawings
FIG. 1 is a block diagram of an intelligent ordering system for food according to a first embodiment;
fig. 2 is a flowchart of a first food intelligent ordering method of the food intelligent ordering system according to the first embodiment or the third embodiment;
fig. 3 is a flowchart of a second food intelligent ordering method of the food intelligent ordering system according to the first or third embodiment;
FIG. 4 is a flowchart of a first food intelligent ordering method of the second food intelligent ordering system according to the second embodiment;
fig. 5 is a flowchart of a second food intelligent ordering method of the second food intelligent ordering system according to the second embodiment.
Detailed Description
The first embodiment is as follows:
the food intelligent ordering system according to the first embodiment is shown in fig. 1, and includes a server and an intelligent cooking device as an automatic food making device, and the server is in communication connection with the intelligent cooking device. The food intelligent ordering system also comprises a user terminal which is in communication connection with the server, namely a mobile phone terminal used by a user, wherein the number of the mobile phone terminals can be multiple. The server comprises a processor and a memory, the memory storing an executable computer program which, when executed by the processor, implements the functionality of the server. The mobile phone terminal comprises a processor and a memory, wherein the memory stores an executable computer program, and the computer program realizes the functions of the mobile phone terminal when being executed by the processor. The intelligent cooking device comprises a processor and a memory, wherein the memory stores executable computer programs, and the computer programs realize the operation of the intelligent cooking device when being executed by the processor.
Referring to fig. 2 or fig. 3, the ordering process of the food intelligent ordering system of the embodiment is as follows:
the server sends information of a plurality of dishes which can be made by the intelligent cooking equipment to the mobile phone terminal. And the mobile phone terminal receives the information of the plurality of types of dishes, generates a dish selection and purchase interface, and lists the plurality of types of dishes in the dish selection and purchase interface. As shown in fig. 1, a user 1 enters a dish purchasing interface on a mobile phone terminal 1 and browses a plurality of dishes listed in the interface. If the user 1 selects dishes, the dishes are added to the shopping cart, then a payment button is clicked to trigger an order generation instruction, after the mobile phone terminal 1 receives the order generation instruction, a to-be-paid order page is generated according to the food selected by the user 1 for the user 1 to pay, after payment information is received, a corresponding order is generated, and the order is sent to the server. And the server receives the order and forwards the order to the intelligent cooking equipment, so that the intelligent cooking equipment cooks dishes according to the order.
This food intelligence system of placing an order includes the camera device of communication connection server, and it can shoot the culinary art video (the food preparation video promptly) that obtains the dish to the process of intelligent cooking equipment culinary art dish. In this embodiment, the camera device may photograph the cooking processes of all ordered dishes, so as to obtain the cooking videos of the dishes and transmit the cooking videos to the server for storage. The mobile phone terminal provides a video request virtual button (namely a video request interface) associated with each type of dish in the dish shopping interface for a user to make a video request, and the video request virtual button is displayed beside the associated dish.
The video request virtual button is used for requesting to acquire a cooking video related to a dish corresponding to the video request virtual button, and the process of requesting to acquire the cooking video by a user is described by taking a fried chicken leg as an example below:
if the user 2 wants to further understand the relevant situation of the fried chicken leg and then decides not to take a bill, the user clicks the video request virtual button beside the fried chicken leg so as to provide a video request. According to the video request provided by the user 2, the mobile phone terminal 2 sends a video request to the server. After receiving the video request, the server judges whether the main food materials are sold as the same batch of fried chicken legs according to the past order, namely whether the adopted chicken legs are sold as the same batch of fried chicken legs with the currently available chicken legs. The past order refers to an order placed by another user before the user 2 makes a video request, for example, the above mentioned order placed by the user 1 is a past order. If the chicken is sold, a cooking video of the sold fried chicken legs is correspondingly obtained, the cooking video is obtained by shooting the process of the intelligent cooking equipment for cooking the sold fried chicken legs through the camera device, and the freshness of the chicken legs, the sanitation condition of the cooking process and the variety of the fried chicken legs can be embodied. If the fried chicken leg is not sold, whether other dish items adopting the chicken leg of the same batch as the currently available chicken leg, namely dish items with the same main food material as the fried chicken leg, such as honeydew chicken leg, garlic-flavored chicken leg and the like, are sold is further judged according to the past order. If a garlic-flavor chicken leg is sold and the same batch of chicken legs as the currently available chicken legs is adopted, a cooking video of the garlic-flavor chicken leg is correspondingly obtained, wherein the cooking video is obtained by shooting the process of cooking the garlic-flavor chicken leg by the intelligent cooking equipment through the camera device, and the freshness of the staple food material, namely the chicken leg, required by chicken leg frying can be reflected. If no other dish is sold, the method further judges whether other dish in the same production mode is sold according to the past order, namely whether other dish cooked in a frying mode, such as fried chicken blocks, fried pork chops and the like is sold. If fried chicken is sold, the fried chicken and the fried chicken leg are both cooked in a frying mode and cooked by the same fryer, a cooking video of the fried chicken is correspondingly acquired, the cooking video is obtained by shooting the process of cooking the fried chicken by the intelligent cooking equipment through the camera device, and the sanitary condition of the frying process can be embodied.
Since the freshness of the food material is affected by the storage time of the food material, if the obtained cooking video is a long-term previous cooking video of dishes of a past order, the freshness of the food material displayed in the cooking video is greatly different from the freshness of the current food material. For this reason, the video request virtual button of the present embodiment has a parameter setting entry. After the user 2 clicks the video request virtual button, a parameter setting page pops up on the dish purchasing interface, and after the user 2 inputs a preset time period range parameter in the parameter setting page, a video request confirmation button is clicked, so that a corresponding video request can be triggered, wherein the video request comprises the preset time period range parameter. Still taking the example of frying a chicken leg, the user 2 immediately makes a corresponding video request within the previous hour of inputting the parameter of the preset time period range at 10 am. According to the video request provided by the user 2, the mobile phone terminal 2 sends a video request to the server. After receiving the video request, the server analyzes that the preset time period range is 9 to 10 points according to the video request, and then sequentially judges whether dishes for frying the chicken legs and dishes with main food materials being the chicken legs or dishes for cooking in a frying mode are sold according to past orders in the period from 9 to 10 points.
If the server does not acquire any related cooking video, the server sends feedback information to the mobile phone terminal 2 of the user 2 who makes a video request, and informs the user 2 that no related cooking video exists. And if the server acquires the related cooking video, the server sends the cooking video to the mobile phone terminal 2 of the user 2 who makes a video request for the user to watch. After the user 2 watches the cooking video, if the user feels that the cooking video meets the requirements of the user, the fried chicken legs can be added to the shopping cart, then a payment button is clicked to trigger an order generation instruction, after the mobile phone terminal 2 receives the order generation instruction, an order page to be paid is generated according to food selected by the user and is used for the user to pay, after payment information is received, a corresponding order is generated, and the order is sent to the server. And the server receives the order and forwards the order to the intelligent cooking equipment, so that the intelligent cooking equipment cooks dishes according to the order. In this embodiment, after the cooking of the dishes is completed, the dishes are distributed to the user by the distributor. If the user 2 feels that the chicken legs are not fresh or the taste is not good, other dishes are selected for learning until the dish of the heart instrument is selected for ordering.
Example two:
the structure and composition of the food intelligent ordering system in the second embodiment are the same as those in the first embodiment, only the differences between the first embodiment and the second embodiment will be described below, and the technical content not mentioned is the same as that in the first embodiment and will not be described again.
Referring to fig. 4 or 5, the ordering process of the intelligent food ordering system of the embodiment is as follows:
in this embodiment, the user 2 may set the preset time period range parameter as a future time period. Still taking the example of frying a chicken leg, the user 2 inputs the parameter of the preset time period range at 10 am to be within one hour in the future, and then makes a corresponding video request. After the server receives the video request, resolving a preset time period range from 10 to 11 am according to the video request, monitoring orders placed in the period from 10 to 11 am, and if the orders placed by other users contain dishes with fried chicken legs and main food materials being chicken legs or dishes cooked in an oil frying mode, sending a shooting instruction to a camera device, so that the camera device shoots the process of cooking the dishes with fried chicken legs and main food materials being chicken legs or the dishes cooked in the oil frying mode by the intelligent cooking equipment. The server acquires videos shot by the camera device in real time and sends the videos to the mobile phone terminal 2 of the user 2 who makes a video request in real time, and live video broadcast of the cooking process of the dishes is achieved. During the period from 10 am to 11 am, if the server monitors that the user 2 who makes the video request has placed an order, the server stops executing the response operation of the video request, and no longer acquires and outputs the corresponding cooking video for the video request. The present embodiment takes the following order as a way of stopping the video request.
Unlike the first embodiment, in the present embodiment, the camera only starts shooting according to the received shooting instruction, and does not shoot the cooking processes of all ordered dishes.
In other embodiments, the camera device may capture the cooking process of all ordered dishes, so that when the server receives the video request including the parameter of the preset time period range, the server does not monitor the order within the preset time period range any more, but monitors the cooking video obtained within the preset time period range instead. If the cooking video obtained by shooting the process of cooking the fried chicken legs, the dishes with the main food materials being the chicken legs or the dishes cooked in the frying mode by the intelligent cooking equipment is monitored, the cooking video is sent to the mobile phone terminal of the user who makes a video request.
Example three:
compared with the first embodiment, the first embodiment cancels the server and the mobile phone terminal, only the intelligent cooking device and the camera device are reserved, the operations executed by the server and the operations executed by the mobile phone terminal are transferred to the intelligent cooking device to be executed, and the camera device is connected with the intelligent cooking device in a communication mode instead.
Referring to fig. 2 or fig. 3, the ordering process of the food intelligent ordering system of the embodiment is as follows:
the intelligent cooking equipment generates a dish purchasing interface according to information of a plurality of types of dishes which can be cooked by the intelligent cooking equipment, and the plurality of types of dishes are listed in the dish purchasing interface. The intelligent cooking equipment is provided with a touch screen, a user enters a dish purchasing interface on the touch screen, browses a plurality of dishes listed in the interface, adds the dishes to a shopping cart if the dishes are selected, and then clicks to pay to complete ordering. The intelligent cooking equipment cooks dishes according to an order placed by a user. In the embodiment, the cooking video shot by the camera device is transmitted to the intelligent cooking equipment for storage. The intelligent cooking equipment provides a video request virtual button associated with each type of dish in a dish purchasing interface corresponding to the type of dish for a user to provide a video request, and the video request virtual button is displayed beside the associated dish.
The video request virtual button is used for requesting to acquire a cooking video related to a dish corresponding to the video request virtual button, and the process of requesting to acquire the cooking video by a user is described by taking a fried chicken leg as an example below:
if the user wants to further understand the relevant conditions of the fried chicken leg and then decides not to order, the user clicks the video request virtual button beside the fried chicken leg so as to provide a video request. In response to a video request made by a user, the intelligent cooking device judges whether fried chicken legs adopting the same batch of chicken legs as the currently available chicken legs are sold according to past orders. If the intelligent cooking equipment is sold, a cooking video obtained by shooting the process of frying the chicken legs by the same batch of chicken legs by the camera device is correspondingly obtained. If not, further judging whether other dishes adopting the same batch of chicken legs as the currently available chicken legs, namely dishes with the same main food materials as the fried chicken legs, such as honeydew chicken legs, garlic-flavored chicken legs and the like, are sold according to the past order. If the garlic-flavor chicken legs are sold, the cooking video shot by the camera device in the process of cooking the garlic-flavor chicken legs adopting the same batch of chicken legs by the intelligent cooking equipment is correspondingly obtained. If no other dish is sold, the method further judges whether other dish in the same production mode is sold according to the past order, namely whether other dish cooked in a frying mode, such as fried chicken blocks, fried pork chops and the like is sold. If the fried chicken is sold, a cooking video obtained by shooting the process of cooking the fried chicken by the intelligent cooking equipment in a frying mode through the camera device is correspondingly obtained. And displaying the obtained cooking video on a touch screen for a user to watch.
After watching the cooking video, the user can add the fried chicken leg to the shopping cart and pay to complete the order if the user feels that the cooking video meets the requirements of the user. The mobile phone terminal sends the order placed by the user to the server, and the server forwards the order to the intelligent cooking equipment after receiving the order, so that the intelligent cooking equipment cooks dishes according to the order. If the user feels that the chicken leg is not fresh or the taste is not good, other dishes are selected for learning until the dish of the heart instrument is selected for ordering.

Claims (14)

1. An intelligent food ordering method is characterized by comprising the following steps of:
and (3) outputting food information: outputting information of a plurality of types of food which can be made by automatic food making equipment to a user for the user to select;
video request step: receiving a video request made by the user for at least one type of food which can be made by the automatic food making equipment;
a video acquisition step: acquiring a food making video obtained by shooting the making process of food related to the food in the order of the automatic food making equipment in the automatic food making equipment;
video output step: outputting the food preparation video to the user who made the video request;
an order obtaining step: an order generated from the food selected by the user is obtained.
2. The intelligent food ordering method as claimed in claim 1, wherein: the food related to the food is specifically the food, or the main food and/or the food made in the same way as the food.
3. The intelligent food ordering method as claimed in claim 1, wherein: the food preparation video is obtained within a preset time period range.
4. The intelligent food ordering method as claimed in claim 3, wherein: the video request includes the preset time period range parameter.
5. The intelligent food ordering method according to claim 3 or 4, characterized in that: the preset time period range is a time period range after the video request is made, and the method further comprises an order monitoring step before the video acquiring step: and monitoring the orders within the preset time period range, and executing the video acquisition step and the video output step if the orders containing the food related to the food are monitored by other users.
6. The intelligent food ordering method as claimed in claim 1, wherein: the video output step is specifically to acquire the shot video in real time and output the video to the user in real time in the process of executing the video acquisition step, so as to realize live video broadcast of the food related to the food.
7. The intelligent food ordering method as claimed in claim 5, wherein: and if the user who proposes the video request is monitored to stop the video request within the preset time period, stopping executing the video acquisition step and the video output step.
8. The intelligent food ordering method as claimed in claim 1, wherein: in the step of outputting the food information, a video request interface is provided for the user corresponding to at least one type of the food which can be made by the automatic food making equipment, so that the user can make a video request.
9. The intelligent food ordering method as claimed in claim 8, wherein: the video request interface is provided with a parameter setting inlet for the user to input preset time period range parameters, and the video request interface can trigger a corresponding video request according to the preset time period range parameters input by the user.
10. A server comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein: the processor, when executing the computer program, implements the food intelligent ordering method of any one of claims 1 to 9.
11. An automated food preparation apparatus comprising a processor, a memory and a computer program stored on said memory and operable on said processor, characterized in that: the processor, when executing the computer program, implements the food intelligent ordering method of any one of claims 1 to 9.
12. A user terminal comprising a processor, a memory, and a computer program stored on the memory and operable on the processor, characterized in that: the processor, when executing the computer program, implements the food intelligent ordering method of any of claims 1-4, 8 and 9.
13. The utility model provides a food intelligence system of ordering, includes server, automatic preparation equipment of food, camera device and user terminal, the server communication connection the user terminal with automatic preparation equipment of food, characterized by: the server is the server according to claim 10, the camera is used for shooting the food in the automatic food making equipment, and the user terminal is the user terminal according to claim 12.
14. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, may implement the food intelligent ordering method of any one of claims 1 to 9.
CN202011191951.3A 2020-10-30 2020-10-30 Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium Pending CN112348634A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011191951.3A CN112348634A (en) 2020-10-30 2020-10-30 Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011191951.3A CN112348634A (en) 2020-10-30 2020-10-30 Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium

Publications (1)

Publication Number Publication Date
CN112348634A true CN112348634A (en) 2021-02-09

Family

ID=74356422

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011191951.3A Pending CN112348634A (en) 2020-10-30 2020-10-30 Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium

Country Status (1)

Country Link
CN (1) CN112348634A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104463722A (en) * 2014-12-01 2015-03-25 北京云知声信息技术有限公司 Method and system for achieving intelligent voice dish ordering
CN106326995A (en) * 2016-11-01 2017-01-11 合肥华贝信息科技有限公司 Marketing platform based on food safety
CN107682401A (en) * 2017-09-01 2018-02-09 深圳市盛路物联通讯技术有限公司 Information inspection method and relevant device
CN111526294A (en) * 2020-04-30 2020-08-11 广东智源机器人科技有限公司 Food production system, video recording and playing method, system and storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104463722A (en) * 2014-12-01 2015-03-25 北京云知声信息技术有限公司 Method and system for achieving intelligent voice dish ordering
CN106326995A (en) * 2016-11-01 2017-01-11 合肥华贝信息科技有限公司 Marketing platform based on food safety
CN107682401A (en) * 2017-09-01 2018-02-09 深圳市盛路物联通讯技术有限公司 Information inspection method and relevant device
CN111526294A (en) * 2020-04-30 2020-08-11 广东智源机器人科技有限公司 Food production system, video recording and playing method, system and storage medium

Similar Documents

Publication Publication Date Title
US8430302B2 (en) Enabling interactive activities for content utilizing matrix codes
US20180101608A1 (en) Meal preparation orchestrator
CN113133682B (en) Cooking equipment, cooking curve adjusting method and adjusting device
US9572361B2 (en) System for automating cooking steps
US10320582B1 (en) System for smart spoilage alerts
US11183078B2 (en) Meal preparation orchestrator
CN111568153A (en) Kitchen electrical system for realizing dish cooking procedure recommendation
CN110598890A (en) Cooking recommendation method and system for kitchen system and kitchen system
CN112100484A (en) Menu recommendation method and system and intelligent refrigerator
CN111219753A (en) Cooking processing method, device, equipment and computer readable medium
CN110989377B (en) Method and device for managing multimedia data in smart home operating system
CN113077135A (en) Food preparation safety monitoring method, device and system
CN113158014A (en) Menu recommendation method, refrigerator and computer-readable storage medium
CN107763694A (en) Cook linked system, method and cigarette machine
CN108013733A (en) Cooking control method, device and system
CN113662446A (en) Internet of things-based cooking assistance method and device, intelligent terminal and storage medium
CN112348634A (en) Intelligent food ordering method, server, automatic food making equipment, user terminal, intelligent food ordering system and storage medium
CN111541868A (en) Cooking state monitoring method, device and system
CN111195081A (en) Cooking method and device
CN112330399A (en) Intelligent cooking method convenient for sharing user-defined dishes, computer-readable storage medium and intelligent cooking equipment
CN112263135A (en) Intelligent cooking method capable of outputting cooking video, computer readable storage medium and intelligent cooking equipment
CN112099372A (en) Menu generation method and device, cooking equipment, mobile terminal and storage medium
CN110097431A (en) A kind of intelligent restaurant synergy data platform based on technology of Internet of things
CN111178035A (en) Method and device for generating electronic menu set, storage medium and terminal
KR20210074039A (en) Integrated management system for cooking and delivering of chef robot

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
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20211025

Address after: 510700 501-2, Guangzheng science and Technology Industrial Park, No. 11, Nanyun 5th Road, Science City, Huangpu District, Guangzhou City, Guangdong Province

Applicant after: GUANGZHOU FUGANG LIFE INTELLIGENT TECHNOLOGY Co.,Ltd.

Address before: 510700 501-1, Guangzheng science and Technology Industrial Park, No. 11, Yunwu Road, Science City, Huangpu District, Guangzhou City, Guangdong Province

Applicant before: GUANGZHOU FUGANG WANJIA INTELLIGENT TECHNOLOGY Co.,Ltd.