CN114581006A

CN114581006A - Intelligent ordering method, device, system and storage medium

Info

Publication number: CN114581006A
Application number: CN202210199561.3A
Authority: CN
Inventors: 王宇航; 支涛
Original assignee: Beijing Yunji Technology Co Ltd
Current assignee: Beijing Yunji Technology Co Ltd
Priority date: 2022-03-02
Filing date: 2022-03-02
Publication date: 2022-06-03

Abstract

The disclosure relates to the technical field of intelligent ordering and delivering, and provides an intelligent ordering method, device, system and storage medium. The method comprises the following steps: acquiring an order sent by a user for ordering based on an application terminal and positioning information of the application terminal; sending a food preparation instruction to the intelligent food preparation equipment based on the order, so that the intelligent food preparation equipment prepares dishes corresponding to the order; determining dining time of the user based on the positioning information; based on the dining time, the robot is informed to go to the position where the intelligent catering equipment is located to fetch the meal; and under the condition that the robot finishes taking the meal, determining the dining position of the user, and controlling the robot to dispatch the taken meal to the dining position of the user so as to finish the service of the order. The method and the device form closed-loop control over the takeout process of the order, and ensure the catering and delivery efficiency of the order.

Description

Intelligent ordering method, device, system and storage medium

Technical Field

The present disclosure relates to the field of intelligent ordering and delivering technologies, and in particular, to an intelligent ordering method, apparatus, system, and storage medium.

Background

If a current user wants to order take-out, the user generally only needs to use a mobile phone application terminal to place an order, then ordering application software can inform a shop owner of preparing the order-placed commodity, and then a takeout person sends the order, or the user can select a mode of taking the order by oneself. At present, the ordering mode at least needs the participation of three-party application software for ordering and a takeout person, so that a closed loop of a takeout flow cannot be formed, the meal delivery time is determined by the working efficiency of a meal allocating person and the working efficiency of the takeout person, and the meal delivery time is lack of efficiency and is unstable on the whole.

Therefore, how to perform closed control on the takeout process of ordering by the user through the application terminal to further improve the efficiency of takeout on food preparation and delivery is a technical problem in the current takeout field.

Disclosure of Invention

In view of this, the present disclosure provides an intelligent food ordering method, apparatus, system and storage medium, so as to solve the problem in the prior art that how to close and control a takeout process of ordering food by a user through an application terminal to further improve efficiency of takeout on food preparation and food delivery.

In a first aspect of the disclosed embodiment, an intelligent ordering method is provided, including: acquiring an order sent by a user for ordering based on an application terminal and positioning information of the application terminal; sending a food preparation instruction to the intelligent food preparation equipment based on the order, so that the intelligent food preparation equipment prepares dishes corresponding to the order; determining dining time of the user based on the positioning information; based on the dining time, the robot is informed to go to the position where the intelligent catering equipment is located to fetch the meal; and under the condition that the robot finishes taking the meal, determining the dining position of the user, and controlling the robot to dispatch the taken meal to the dining position of the user so as to finish the service of the order.

In a second aspect of the embodiments of the present disclosure, an intelligent food ordering apparatus is provided, which includes: the acquisition module is configured to acquire an order sent by a user for ordering based on the application terminal and positioning information of the application terminal; the meal preparation module is configured to send a meal preparation instruction to the intelligent meal preparation equipment based on the order, so that the intelligent meal preparation equipment prepares dishes corresponding to the order; a determination module configured to determine a dining time of the user based on the positioning information; the notification module is configured to notify the robot to go to the position where the intelligent catering equipment is located to fetch the meal based on the dining time; and the meal delivery module is configured to determine the dining position of the user and control the robot to deliver the taken meal to the dining position of the user to complete the service of the order under the condition that the robot finishes taking the meal.

In a third aspect of the disclosed embodiments, a system is provided, which includes: a robot; an application terminal; intelligent catering equipment; the server is connected with the intelligent catering equipment and the robot network respectively, and at least comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and the steps of the method are realized when the processor executes the computer program.

In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored, which when executed by a processor implements the steps of the above-mentioned method.

Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: the intelligent food preparation equipment and the robot are coordinated to automatically prepare and deliver food for the user corresponding to each order through the server according to the order and the position information sent by the application terminal, so that takeaway corresponding to the order can be quickly and efficiently delivered to the dining position of the user, closed-loop control over the takeaway flow of the order is formed, and food preparation and delivery efficiency of the order is guaranteed.

Drawings

To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.

Fig. 1 is a schematic view of an application scenario of an intelligent ordering system according to an embodiment of the disclosure;

fig. 2 is a schematic flowchart of an intelligent food ordering method provided by the embodiment of the disclosure;

fig. 3 is a schematic structural diagram of an intelligent food ordering apparatus provided by the embodiment of the disclosure;

fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. It will be apparent, however, to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.

An intelligent ordering method and apparatus according to the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

Fig. 1 is a schematic view of an application scenario of an intelligent ordering system according to an embodiment of the present disclosure. As shown in fig. 1, the intelligent ordering system may include an application terminal 2,

robots

3 and 4, an intelligent catering device 5, a server 6, and a network 7. In the application scenario, the user 1 can order food through the application terminal 2, then send the ordered take-out information to the server 6 through the network 6, and the server 6 informs the intelligent food preparation device 5 and the

robot

3 or 4 to realize automatic food preparation and delivery of the take-out, so that closed-loop control of a take-out flow is formed, and the take-out delivery efficiency is improved. In the embodiment of the present disclosure, the intelligent ordering system is suitable for application scenarios such as an individual restaurant site and a fixed dining area, for example, a campus dining room, a public dining room, and the like, and the embodiment of the present disclosure does not limit this.

The application terminal 2 may be hardware or software. When the application terminal 2 is hardware, it may be various electronic devices having a display screen and supporting communication with the server 7, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like; when the application terminal 2 is software, it may be installed in the electronic device as above. The application terminal 2 may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited in the embodiment of the present disclosure. In the embodiment of the present disclosure, the application terminal 2 may preferably be application software installed on a mobile phone, for example, the application terminal 2 is takeout software or an ordering applet installed on a mobile phone.

The

robots

3 and 4 are intelligent devices capable of automatic movement, for example, the

robots

3 and 4 may be AGVs (Automated Guided vehicles) or wheeled moving devices, and the like.

The intelligent catering equipment 5 is machine equipment for automatically taking and catering. Specifically, the intelligent catering device 5 may be implemented by a manner of sending and pushing commodities on an intelligent shelf, or by a manner of placing objects by a mechanical arm, or by a manner of automatically grabbing by the

robot

3 or 4, which is not limited in this disclosure. For example, in practical applications, the intelligent catering device 5 can provide different dishes at different points, and the

robots

3 and 4 only need to reach the corresponding points, and the intelligent catering device 5 automatically places the dishes on the

robots

3 and 4.

The server 6 may be a server providing various services, for example, a background server receiving a food ordering request sent by the application terminal 2 that establishes a communication connection with the server, and the background server may receive and analyze the request sent by the application terminal 2, and generate a processing result of an instruction for controlling the

robots

3 and 4 and the intelligent food preparation device 5. The server 4 may be one server, may also be a server cluster composed of a plurality of servers, or may also be a cloud computing service center, which is not limited in this disclosure.

The server 4 may be hardware or software. When the server 4 is hardware, it may be various electronic devices that provide various services to the application terminal 2, the

robots

3 and 4, and the intelligent catering device 5. When the server 4 is software, it may be multiple software or software modules providing various services for the application terminal 2, the

robots

3 and 4, and the intelligent catering device 5, or may be a single software or software module providing various services for the application terminal 2, the

robots

3 and 4, and the intelligent catering device 5, which is not limited in this disclosure.

The network 7 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, or may be a wireless network that can interconnect various Communication devices without wiring, for example, Bluetooth (Bluetooth), Near Field Communication (NFC), Infrared (Infrared), and the like, which is not limited in the embodiment of the present disclosure.

It should be noted that specific types, numbers, and combinations of the application terminal 2, the

robots

3 and 4, the intelligent catering device 5, the server 6, and the network 7 may be adjusted according to actual requirements of an application scenario, which is not limited in the embodiment of the present disclosure.

Fig. 2 is a flowchart of an intelligent food ordering method provided by the embodiment of the disclosure. The intelligent ordering method of fig. 2 may be performed by the server 6 of fig. 1. As shown in fig. 2, the intelligent ordering method includes:

s201, obtaining an order sent by a user for ordering based on an application terminal and positioning information of the application terminal;

s202, sending a food preparation instruction to the intelligent food preparation equipment based on the order, and enabling the intelligent food preparation equipment to prepare dishes corresponding to the order;

s203, determining the dining time of the user based on the positioning information;

s204, based on the dining time, the robot is informed to go to the position where the intelligent catering equipment is located to fetch food;

s205, determining the dining position of the user when the robot finishes taking the food, and controlling the robot to dispatch the taken food to the dining position of the user to finish the service of the order.

Here, the application terminal may be an electronic device such as a mobile phone, a tablet computer, a smart wearable computer, and a computer, or may also be application software installed on the electronic device. For example, in the embodiment of the present disclosure, the application terminal is preferably meal ordering application software or an applet installed on a mobile phone, and in combination with the application scenario of fig. 1, the user 1 may order the meal ordering application software or the applet on the mobile phone, so as to generate a corresponding order, and obtain location information of the mobile phone as location information of the user.

Specifically, when receiving an order of a user through a network, the server notifies the intelligent food preparation device to automatically prepare or distribute dishes corresponding to the order in time on one hand, and on the other hand, calculates a position to notify the robot to go to the intelligent food preparation device to take the dishes corresponding to the order at a proper time point according to the positioning information obtained by the application terminal, and notifies or controls the robot to automatically distribute the dishes to the dining position of the user after the robot takes the dishes.

Referring to fig. 1, in practical applications, the intelligent catering device may also send current dish information, dish inventory information, and the like to the server through the network, and update the catalog and quantity of the dishes of the application terminal where the user is located. In addition, according to the number of the orders received by the actual robot and the server, the robot can be informed to take dishes corresponding to one order at a time, or the robot can be informed to take dishes corresponding to two or more orders at the same time, so that the distribution efficiency is improved. For example, in a certain time period, the number of orders received by the server exceeds the number of robots, and at this time, the server allocates a plurality of orders corresponding to the same or close-in-time meal taking time to one robot according to the meal taking time of each order, and controls the robot to respectively deliver the meals to users corresponding to the orders after the orders are completely finished, thereby improving the delivery efficiency.

According to the intelligent ordering method provided by the embodiment of the disclosure, the server coordinates the intelligent food preparation equipment and the robot to automatically prepare and deliver food for the user corresponding to each order according to the order and the position information sent by the application terminal, so that the takeaway corresponding to the order can be quickly and efficiently delivered to the dining position of the user, thereby forming closed-loop control over the takeaway flow of the order and ensuring the food preparation and delivery efficiency of the order.

In addition, considering that the dining position of the user for ordering food comprises an independent dining room field, a fixed dining area and the like, the selection information of the dining position and/or the dining time can be provided at the application terminal, and the dining time of the user can be intelligently estimated according to the positioning information acquired by the application terminal, so that the robot is efficiently coordinated to fetch and deliver food for the user, and unnecessary waiting time in the flow link of order service is avoided.

In some embodiments, determining the user's meal time based on the location information includes: detecting whether the order contains the dining time specified by the user;

if not, calculating the estimated time of the user reaching the target dining area based on the positioning information, and taking the estimated time as the dining time of the user.

Specifically, in the case that the user does not specify the dining time, then, according to the positioning information acquired by the application terminal, the position information and the travel information of the user can be indirectly obtained. For example, the position of the application terminal and the moving speed of the application terminal may be calculated according to the positioning information acquired by the application terminal, and when the target dining area is a known single restaurant site or a fixed dining area, the time when the user of the application terminal arrives at the target dining area may be estimated, so that the estimated time may be taken as the dining time of the user, or the determined dining time may be adjusted according to the estimated time to obtain the dining time of the user, which is not limited in the embodiment of the present disclosure.

In some embodiments, after detecting whether the order includes the user-specified meal time, the method further comprises: if yes, estimating whether the user can reach the target dining area within the dining time specified by the user or not based on the positioning information; under the condition that the user cannot arrive at the target dining area on time, sending dining time selection information to the application terminal to remind the user whether to modify the specified dining time; determining the dining time of the user based on the selection of the dining time selection information by the user.

Specifically, when the user specifies a meal time in the order, the robot is only required to be notified to deliver the meal to the meal position of the user in advance or on time according to the specified meal time. If the actual moving speed of the current user cannot reach the dining position at the specified time or the current user will reach the dining position in advance according to the positioning information acquired by the application terminal, the dining time selection information can be sent in time to remind the user whether the dining time needs to be changed or not, so that the user can timely or early obtain ordered meals when reaching the dining position.

The dining time of the user is determined through the positioning information acquired based on the application terminal, and then the corresponding robot is reasonably distributed according to the dining time to take the meal, so that the meal taking efficiency is improved, and meanwhile, the user can be guaranteed to have the meal in time when arriving at the dining position.

Furthermore, the target dining area generally comprises a plurality of dining positions, and the user can be uncertain about which dining position the user specifically has a meal, so that the robot can be informed to deliver the meal to the user after the user selects the dining position, and the condition that the dining position is occupied by the advanced meal delivery to reduce the channel change efficiency is avoided.

In some embodiments, determining the dining location of the user comprises: when the robot is informed to fetch food, sending selection information of the dining position to an application terminal of a user; and receiving a selection result of the user responding to the selection information to obtain the dining position of the user.

Specifically, the state information of all dining positions in the target dining area, that is, the state information that the dining positions are currently idle or occupied, can be sent to the server in real time, and then the server sends the real-time information of the dining positions to the user for selection when informing the robot to take the meal, so that the user presets the dining positions in advance during the period that the robot takes the meal, and the time that the robot finishes taking the meal and waits for the meal delivery is shortened.

In some embodiments, determining the dining location of the user comprises: when detecting that the corresponding application terminal reaches a preset target dining area based on the positioning information, acquiring a face image of the target dining area where the position of the application terminal is located; and recognizing the face image by using a face recognition algorithm, determining the dining position of the user in the target dining area, and associating the order with the registered face information of the user.

Specifically, when the user is determined to enter the target dining area according to the positioning information of the application terminal, the face image of the target dining area is identified by adopting a face identification technology, and the dining position selected by the user is determined, so that the dining position of the user is automatically determined. The face information of the user can be acquired when the user orders and associated with the order, or acquired when the user registers.

The embodiment of the disclosure is suitable for member users or users frequently visiting, the dining position of the user in the target dining area is intelligently determined through the face recognition technology, the user does not need to be actively inquired or selected, and the efficiency of the robot for delivering food to the user can be further improved while the intellectualization of food ordering of the user is realized.

In some embodiments, determining the dining location of the user comprises: receiving a telephone number input by a user on electronic equipment preset on a dining table and a position number of the electronic equipment; determining an order corresponding to the telephone number based on the telephone number, wherein the order comprises the telephone number of the user; the dining location of the user of the order is determined based on the table previously associated with the location number.

Specifically, compared with the scheme based on the face recognition technology and enabling the user to select the dining position in advance, if the user uses the application terminal to order for others, or the mobile phone is out of power during the process of going to dining, and the like, the user only needs to input the ordering mobile phone number into the electronic equipment at any dining position in the target dining area, and the backstage service desk can determine the dining position of the user according to the phone number and then send the meal to the user in time. In addition, if the mobile phone of the user has accidents such as power failure and the like, the background server cannot acquire the dining time of the user in time, and after the user inputs a telephone number according to the electronic equipment at the dining position, the server receives the mobile phone number, informs the robot to preferentially fetch the meal of the order corresponding to the mobile phone number and distribute the meal to the corresponding dining position in time.

According to the embodiment of the invention, the electronic equipment for sending the mobile phone number to the background server is arranged at the dining position of the target dining area in advance, so that the background can timely know the dining position of the user and timely inform the robot of delivering the meal corresponding to the order form for the user, and the defect that the dining position of the user cannot be determined due to accidents in other modes for determining the dining position of the user is overcome.

In some embodiments, notifying the robot to go to the location where the intelligent catering device is located to fetch food based on the meal time includes: calculating the time consumed by the robot for completing meal taking based on the order; determining meal taking time for informing the robot to start taking meals based on the dining time and consumed time of the user; and when the meal taking time is up, the robot is informed to go to the position of the intelligent meal distribution equipment to take the meal of the order.

Specifically, the user orders different orders, and notifies the robot of the time point of taking the meal and necessarily the first time of receiving the order to take the meal, and if the meal time of the user is far longer than the time required by the robot to take the meal, the time for the robot to wait for the meal delivery or the time for taking the meal position can be increased. Therefore, under the condition that the dining time of the user is determined, the time for the robot to take each type of dishes at the position of the intelligent catering equipment, the waiting time in line and the like are fixed or can be calculated according to the types and the numbers of the dishes in the order, so that the robot can be informed to go to the position of the intelligent catering equipment to take the dishes at a proper time point in advance when the dining time of the user and the time consumed by the robot to take the dishes according to the order are determined, the middle time for the user to wait for the robot to send the dishes is shortened, and the distribution efficiency is improved.

All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.

Fig. 3 is a schematic diagram of an intelligent food ordering apparatus provided by the embodiment of the disclosure. As shown in fig. 3, the intelligent ordering apparatus includes:

an obtaining module 301, configured to obtain an order sent by a user for ordering based on an application terminal, and location information of the application terminal;

a meal preparation module 302 configured to send a meal preparation instruction to the intelligent meal preparation device based on the order, so that the intelligent meal preparation device prepares a dish corresponding to the order;

a determining module 303 configured to determine a dining time of the user based on the positioning information;

a notification module 304 configured to notify the robot to go to the location where the intelligent catering equipment is located to fetch food based on the dining time;

and a meal delivery module 305 configured to determine the dining position of the user in the case that the robot finishes taking the meal, and control the robot to deliver the taken meal to the dining position of the user to finish the service of the order.

According to the technical scheme provided by the embodiment of the disclosure, the intelligent food preparation equipment and the robot are coordinated to automatically prepare and deliver food for the user corresponding to each order through the server according to the order and the position information sent by the application terminal, so that the takeaway corresponding to the order can be quickly and efficiently delivered to the dining position of the user, thereby forming closed-loop control over the takeaway flow of the order and ensuring the food preparation and delivery efficiency of the order.

In some embodiments, the determination module 303 of FIG. 3 detects whether the order contains a user-specified meal time; if not, calculating the estimated time of the user reaching the target dining area based on the positioning information, and taking the estimated time as the dining time of the user.

In some embodiments, the determination module 303 in fig. 3 estimates whether the user can reach the target dining area within the user-specified dining time based on the positioning information when detecting that the order contains the user-specified dining time; under the condition that the user cannot arrive at the target dining area on time, sending dining time selection information to the application terminal to remind the user whether to modify the specified dining time; determining the dining time of the user based on the selection of the dining time selection information by the user.

In some embodiments, the intelligent ordering device further comprises: a first position determination module 306 configured to send selection information of the dining position to an application terminal of a user when the robot is notified to take a meal; and receiving a selection result of the user responding to the selection information to obtain the dining position of the user.

In some embodiments, the intelligent ordering apparatus further comprises: the second position determining module 307 is configured to, when detecting that the corresponding application terminal reaches the preset target dining area based on the positioning information, obtain a face image of the target dining area where the position of the application terminal is located; and recognizing the face image by using a face recognition algorithm, determining the dining position of the user in the target dining area, and associating the order with the registered face information of the user.

In some embodiments, the intelligent ordering device further comprises: a third position determining module 308 configured to receive a telephone number input by a user at an electronic device preset on the dining table and a position number of the electronic device; determining an order corresponding to the telephone number based on the telephone number, wherein the order comprises the telephone number of the user; the dining location of the user of the order is determined based on the table previously associated with the location number.

In some embodiments, the notification module 304 in fig. 3 calculates the elapsed time for the robot to complete the meal based on the order; determining meal taking time for informing the robot to start taking meals based on the dining time and consumed time of the user; and when the meal taking time is up, the robot is informed to go to the position of the intelligent meal distribution equipment to take the meal of the order.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

Fig. 4 is a schematic diagram of an electronic device 400 provided by an embodiment of the disclosure. As shown in fig. 4, the electronic apparatus 400 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.

Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 403 in the electronic device 400.

In the disclosed embodiment, the electronic device 400 in fig. 4 may be the server 6 in the application scenario of fig. 1. The electronic device 400 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of an electronic device 400 and does not constitute a limitation of electronic device 400, and may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.

The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 402 may be an internal storage unit of the electronic device 400, for example, a hard disk or a memory of the electronic device 400. The memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc., provided on the electronic device 400. Further, the memory 402 may also include both internal storage units and external storage devices of the electronic device 400. The memory 402 is used for storing computer programs and other programs and data required by the electronic device. The memory 402 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, and multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.

The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.

Claims

1. An intelligent ordering method, comprising:

acquiring an order sent by a user for ordering based on an application terminal and positioning information of the application terminal;

sending a food preparation instruction to intelligent food preparation equipment based on the order, so that the intelligent food preparation equipment prepares dishes corresponding to the order;

determining dining time of the user based on the positioning information;

based on the dining time, informing the robot to go to the position where the intelligent catering equipment is located to fetch the meal;

and under the condition that the robot finishes taking the meal, determining the dining position of the user, and controlling the robot to dispatch the taken meal to the dining position of the user so as to finish the service of the order.

2. The method of claim 1, wherein determining the user's meal time based on the location information comprises:

detecting whether the order contains the dining time specified by the user;

3. The method of claim 2, wherein said detecting whether said order includes a user-specified meal time further comprises:

if yes, estimating whether the user can reach a target dining area within the dining time specified by the user or not based on the positioning information;

under the condition that the user cannot arrive at the target dining area on time, sending dining time selection information to the application terminal to remind the user whether to modify the specified dining time;

determining the dining time of the user based on the user's selection of the dining time selection information.

4. The method of claim 1, wherein the determining the dining location of the user comprises:

when the robot is informed to fetch food, sending selection information of dining positions to an application terminal of the user;

and receiving a selection result of the user responding to the selection information to obtain the dining position of the user.

5. The method of claim 1, wherein the determining the dining location of the user comprises:

when detecting that the corresponding application terminal reaches a preset target dining area based on the positioning information, acquiring a face image of the target dining area where the position of the application terminal is located;

and recognizing the face image by using a face recognition algorithm, determining the dining position of the user sitting in the target dining area, and associating the order with the registered face information of the user.

6. The method of claim 1, wherein the determining the dining location of the user comprises:

receiving a telephone number input by a user on electronic equipment preset on a dining table and a position number of the electronic equipment;

determining an order corresponding to the telephone number based on the telephone number, wherein the order comprises the telephone number of the user;

determining dining positions of the users of the orders based on dining tables which are associated with the position numbers in advance.

7. The method of any of claims 1-6, wherein notifying the robot to go to the location where the intelligent catering device is located to pick up the meal based on the meal time comprises:

calculating the time consumed by the robot for completing the meal taking based on the order;

determining meal taking time for informing the robot to start taking meals based on the dining time of the user and the consumed time;

and when the meal taking time is up, the robot is informed to go to the position of the intelligent meal distribution equipment to take the meal of the order.

8. An intelligent ordering device, comprising:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is configured to acquire an order sent by a user for ordering based on an application terminal and positioning information of the application terminal;

the meal preparation module is configured to send a meal preparation instruction to the intelligent meal preparation equipment based on the order, so that the intelligent meal preparation equipment prepares dishes corresponding to the order;

a determination module configured to determine a dining time of the user based on the location information;

the notification module is configured to notify the robot to go to the position where the intelligent catering equipment is located to fetch the meal based on the dining time;

and the meal delivery module is configured to determine the dining position of the user and control the robot to deliver the taken meal to the dining position of the user to complete the service of the order under the condition that the robot finishes taking the meal.

9. A system, comprising:

a robot;

an application terminal;

intelligent catering equipment;

server connected to the intelligent catering device and the robot network, respectively, comprising at least a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method according to any of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.