KR102635381B1 - Method of operating a delivery platform and its system - Google Patents

Abstract

The present invention relates to a method and system for operating a delivery platform.
Additionally, the present invention is a technology that can be used in restaurants, liquor stores, etc., and also relates to a system for an online delivery service platform.
Additionally, the present invention relates to a system that automatically receives delivery information and analyzes information collected through IoT devices.

Description

Method of operating a delivery platform and its system {Method of operating a delivery platform and its system}

The present invention relates to a method and system for operating a delivery platform.

Additionally, the present invention is a technology that can be used in restaurants, liquor stores, etc., and also relates to a system for an online delivery service platform.

Additionally, the present invention relates to a system that automatically receives delivery information and analyzes information collected through IoT devices.

Currently, the delivery of various goods is increasing, and the number of people specializing in delivery is also increasing due to the increase in applications that mediate delivery. Delivery drivers who deliver goods continuously search for delivered goods to increase profits, and even search for delivered goods while on the move.

In relation to this, in Korean Patent No. 10-1190556, which is a prior art document, information on items requested for simultaneous delivery is registered in a database so that multiple mails provided to the same recipient are delivered simultaneously, and the information registered in the database is used to register the mail. are being delivered simultaneously. Likewise, in the prior art literature, in order to increase delivery efficiency, multiple items to be delivered to the same recipient are bundled together and delivered simultaneously.

However, the probability that the items retrieved by a delivery driver who specializes in delivery are the same recipient is very low. For delivery drivers who check and deliver delivery orders in real time, the locations of the origin and destination of goods for delivery vary.

In this way, the origin and destination according to the delivery order increase as the number of delivered items increases. Moreover, delivery drivers must individually decide on their driving routes, taking into account not only the point of origin and destination, but also the situation of urgent quick service or items that require cooking time, such as food. Therefore, there was a problem that it was difficult to set a driving route because the number of things a delivery driver had to consider in order to deliver multiple items increased.

Delivery drivers are still constantly checking delivery order details to increase profits even while delivering a single item, and even while driving. As a result, delivery drivers are unable to concentrate on driving to check delivery order details, increasing the time required for delivery, and checking delivery order details while driving poses a problem that threatens the safety of delivery drivers.

Meanwhile, the above-mentioned background technology is technical information that the inventor possessed for deriving the present invention or acquired in the process of deriving the present invention, and cannot necessarily be said to be known technology disclosed to the general public before filing the application for the present invention. .

Domestic Public Patent No. 10-2013-0007106 (2013.01.18) Domestic Public Patent No. 10-2021-0058625 (2021.05.24)

The purpose of the present invention is to solve such conventional problems and to provide an online food ordering and delivery method and system that allows orderers to order food from various restaurants at the same time.

Another object of the present invention is to provide an online food ordering and delivery method and system that allows restaurants to eliminate labor costs for food delivery. Furthermore, it provides an online food ordering and delivery method and system that can prevent delivery delays even if there are orders from multiple food orderers.

The technical problems to be achieved in an embodiment of the present invention are not limited to the matters mentioned above, and other technical problems not mentioned may be solved by those skilled in the art from the embodiment of the present invention described below. may be considered by the person.

One embodiment of the present invention includes a homepage of a service provider, a server running the homepage, a POS device connected to the server through a network and installed in a number of restaurants, and a database storing information about a number of foods. In the online food ordering and delivery method using an IoT terminal connected to the server and POS device through a wireless network, a food selection step in which the orderer accesses the homepage and selects the food to order to generate food order information. ; A payment step of paying for the selected food; A cooking time calculation step in which the server receives the cooking time of the ordered food from the database and calculates an expected cooking completion time of the food; A delivery person search step of searching for a delivery person located closest to the restaurant among delivery people holding the IoT terminal; A delivery instruction step of transmitting an estimated cooking completion time of the food, location information of the orderer, and a delivery instruction for the ordered food to the searched IoT terminal of the delivery person; A cooking instruction step of transmitting the food order information selected from the homepage to a POS device provided in the restaurant that cooks the ordered food; A food cooking step of cooking the food identified from the food order information at the corresponding restaurant; A delivery step in which, when cooking is completed at the restaurant, the delivery person receives the completed food from the restaurant and delivers it to the orderer who ordered the food; A delivery confirmation step in which the delivery person transmits delivery completion information of the food to the server through the portable wireless network; We propose a food ordering and delivery method using an online platform that includes .

According to one embodiment of the present invention, it includes a driving part, a main body part connected to the driving part, including an upper surface, at least a portion of the side surface is open and has an interior, and a main body container disposed inside the main body part, A serving device is provided in which food or a food container is placed on a main container and the upper surface.

According to an embodiment of the present invention, an IoT robot that transports food and a method of operating the same are provided. The IoT robot and its operating method include: an IoT robot that transports an object to a customer; a communication unit that communicates with an external device; A driving unit that controls the movement of the robot; a storage unit that stores the object; an infrared sensor unit provided on an upper inside of the storage unit, emitting infrared rays at regular intervals, and detecting reflected infrared rays returned after the infrared rays are reflected by the object; a memory storing one or more instructions; and a processor that controls the IoT robot by executing the at least one instruction. It includes, wherein the infrared sensor unit emits the luminous infrared rays toward the object when the object is stored inside the storage unit, and detects the reflected infrared rays to detect food included in the object from the infrared sensor unit. An IoT robot that transports food that measures the distance to the surface, the processor checks whether the object corresponding to cooked food is stored in the storage unit, and controls the moving speed of the driving unit based on the distance. proposes.

The processor may calculate the surface slope of the object based on the distance and control the moving speed of the driving unit based on the surface slope of the object.

When the surface inclination of the object exceeds the reference value, the processor may reduce the moving speed of the driving unit, and when the surface inclination of the object is below the reference value, the processor may increase the moving speed of the driving unit.

The processor receives customer order information from an external server, calculates food urgency based on the received customer order information, and, when the IoT robot is located within a preset distance range from another IoT robot, based on the food urgency. Thus, the moving speed of the IoT robot can be controlled through the driving unit.

The received customer order information may include at least one of entry time, number of customers in the store, call frequency of the customer, and sales price of the object.

According to an embodiment of the present invention, a method of operating an electronic device may be provided.

The method includes: receiving service request information including information about a customer ID (identifier) and information about a store ID; Obtaining a recommended menu list based on output information of a recommendation model obtained in response to input of input information including customer information about the customer corresponding to the customer ID and store information about the store corresponding to the store ID; and transmitting information related to the recommended menu list; It may include:

As the customer information and the store information are input to the recommendation model, one or more first attribute values related to the estimated preference of a customer corresponding to the customer ID among a plurality of preset customers to which different customer IDs are assigned may be obtained. You can.

Among a plurality of preset stores to which different store IDs are assigned, one or more second attribute values may be pre-assigned to each of a plurality of menus available at a store corresponding to the store ID.

The recommended menu list may include one or more menus selected from a plurality of menus available at the store based on a comparison result between the one or more first attribute values and the one or more second attribute values.

The customer information may be obtained based on searching a database according to the customer ID.

The store information may be obtained based on searching the database according to the store ID.

The customer information may include profile information including the customer's date of birth, gender, email, mobile phone, and address, and information about the customer's preferred menu obtained based on the customer's service request history.

The store information includes a plurality of menus available at the store, a popular menu at the store obtained based on the address of the store, a review of the store, and the order history of each of a plurality of menus available at the store. It may include information about.

In the database: (i) Profile information including date of birth, gender, email, mobile phone, and address of each of the plurality of customers may be classified and stored according to different customer IDs assigned to each of the plurality of customers.

(ii) A plurality of menus available from each of the plurality of stores, and information on the order history of each of the plurality of menus available from each of the plurality of stores are assigned to each of the plurality of stores. It can be classified and stored by ID.

The recommendation model may be set in advance based on machine learning being applied to an artificial intelligence (AI) engine for obtaining the recommendation model.

The machine learning: - (a) learning the AI engine based on training data to obtain the recommendation model; - (b) Obtaining feedback information on processed data output in response to test data for verification of the learned AI engine being input to the AI engine; - (c) updating the AI engine based on the feedback information; and - (d) the above (a) to (c) are repeated, wherein the count value, which has an initial value of 0, is increased by 1 each time (a) to (c) are repeated, and the count value is set to a preset count threshold. Terminate based on matching value; It can be performed on the basis of

The training data and the test data may be obtained based on the training data for obtaining the recommendation model.

The learning data may include customer-related learning data and store-related learning data.

The customer-related learning data includes: profile information including date of birth, gender, email, mobile phone, and address of each of the plurality of customers, and preferences of each of the plurality of customers obtained based on the service request history of each of the plurality of customers. May contain information about the menu.

The store-related learning data includes: a plurality of menus that can be provided by each of the plurality of stores, addresses of each of the plurality of stores, reviews for each of the plurality of stores, and a plurality of menus that can be provided by each of the plurality of stores. The menus may include information about popular menus at each of the plurality of stores, which is obtained based on each order history.

Each of the information about the preferred menu and the information about the popular menu may be information classified according to the weather and an order time zone having a predefined length of time.

The store may be operated based on a plurality of IoT robots and a plurality of IoT (internet of things) devices controlled by the electronic device.

Different IDs may be assigned to each of the plurality of IoT robots and the plurality of IoT devices.

The service request may be received from one IoT device among the plurality of IoT devices.

Information related to the recommended menu list may be transmitted to the one IoT device to be output from an output unit included in the one IoT device.

The method: Based on receiving request information for one or more menus among a plurality of menus available at the store in response to information related to the recommended menu list, request information related to the one or more menus is received from the one IoT device. Controlling one or more IoT robots among the plurality of IoT robots to provide a service; It may include more.

The plurality of IoT robots may include one or more first IoT robots and one or more second IoT robots.

One or more of the one or more first IoT robots may be controlled to perform an operation of manufacturing an item corresponding to the one or more menus.

One or more of the one or more second robots may be controlled to deliver to the customer an item corresponding to the one or more menus or an item related to providing a service related to the one or more menus.

The one or more of the one or more second robots, the ID assigned to the one IoT device, the ID assigned to each of the one or more second robots, and the distance between each of the one or more second robots and the one IoT device Based on this, the one or more second robots may be selected.

The one or more second attribute values include a plurality of menus that can be provided by the plurality of stores according to a property value table defined by the property of the menu and the level of the property of the menu. Values may be assigned in advance based on the values assigned to each of the plurality of menus.

The one or more first attribute values are based on a value being assigned to each of one or more estimated preference menus obtained based on the customer's order history at the plurality of stores and the recommendation model according to the attribute value table. can be obtained.

Based on the fact that a value matching a first value among the one or more first attribute values is included in the one or more second attribute values, the recommended menu list may include a menu corresponding to the first value.

Based on the fact that a value matching a second value among the one or more first attribute values is not included in the one or more second attribute values, a similarity score is obtained for each of the second value and the one or more second attribute values. And, the recommended menu list may include a menu corresponding to a value corresponding to the maximum or minimum similarity score among the one or more second attribute values.

A similarity score may be obtained for each of the first value and the one or more second attribute values.

The recommended menu list may further include a menu corresponding to a value corresponding to a similarity score that is above or below a preset threshold among the one or more second attribute values.

The method includes: transmitting an advertising message obtained based on the type of the store and each type of a plurality of menus available at the store; It may include more.

According to an embodiment of the present invention, an electronic device may be provided. The electronic device may include: a database; And it may include one or more processors connected to the database.

The one or more processors: receive service request information including information about a customer ID (identifier) and information about a store ID; Obtaining a recommended menu list based on output information of a recommendation model obtained in response to input of input information including customer information about the customer corresponding to the customer ID and store information about the store corresponding to the store ID; and transmitting information related to the recommended menu list; It can be set to do so.

As the customer information and the store information are input to the recommendation model, one or more first attribute values related to the estimated preference of a customer corresponding to the customer ID among a plurality of preset customers to which different customer IDs are assigned may be obtained. You can.

Among a plurality of preset stores to which different store IDs are assigned, one or more second attribute values may be pre-assigned to each of a plurality of menus available at a store corresponding to the store ID.

The recommended menu list may include one or more menus selected from a plurality of menus available at the store based on a comparison result between the one or more first attribute values and the one or more second attribute values.

The customer information may be obtained based on searching a database according to the customer ID.

The store information may be obtained based on searching the database according to the store ID.

The customer information may include profile information including the customer's date of birth, gender, email, mobile phone, and address, and information about the customer's preferred menu obtained based on the customer's service request history.

The store information includes a plurality of menus available at the store, a popular menu at the store obtained based on the address of the store, a review of the store, and the order history of each of a plurality of menus available at the store. It may include information about.

In the database: (i) Profile information including date of birth, gender, email, mobile phone, and address of each of the plurality of customers may be classified and stored according to different customer IDs assigned to each of the plurality of customers.

In the database: (ii) a plurality of menus available from each of the plurality of stores, information on the order history of each of the plurality of menus available from each of the plurality of stores is allocated to each of the plurality of stores It can be classified and stored by different store IDs.

The recommendation model may be set in advance based on machine learning being applied to an artificial intelligence (AI) engine for obtaining the recommendation model.

The machine learning: - (a) learning the AI engine based on training data to obtain the recommendation model; - (b) Obtaining feedback information on processed data output in response to test data for verification of the learned AI engine being input to the AI engine; - (c) updating the AI engine based on the feedback information; and - (d) the above (a) to (c) are repeated, wherein the count value, which has an initial value of 0, is increased by 1 each time (a) to (c) are repeated, and the count value is set to a preset count threshold. Terminate based on matching value; It can be performed on the basis of

The training data and the test data may be obtained based on the training data for obtaining the recommendation model.

The learning data may include customer-related learning data and store-related learning data.

The customer-related learning data includes: profile information including date of birth, gender, email, mobile phone, and address of each of the plurality of customers, and preferences of each of the plurality of customers obtained based on the service request history of each of the plurality of customers. May contain information about the menu.

The store-related learning data includes: a plurality of menus that can be provided by each of the plurality of stores, addresses of each of the plurality of stores, reviews for each of the plurality of stores, and a plurality of menus that can be provided by each of the plurality of stores. The menus may include information about popular menus at each of the plurality of stores, which is obtained based on each order history.

Each of the information about the preferred menu and the information about the popular menu may be information classified according to the weather and an order time zone having a predefined length of time.

The store may be operated based on a plurality of IoT robots and a plurality of IoT (internet of things) devices controlled by the electronic device.

Different IDs may be assigned to each of the plurality of IoT robots and the plurality of IoT devices.

The service request may be received from one IoT device among the plurality of IoT devices.

Information related to the recommended menu list may be transmitted to the one IoT device to be output from an output unit included in the one IoT device.

The one or more processors: Based on request information for one or more menus among a plurality of menus available at the store being received from the one IoT device in response to information related to the recommended menu list, the one or more menus Controlling one or more IoT robots among the plurality of IoT robots to provide related services; It can be set to do so.

The plurality of IoT robots may include one or more first IoT robots and one or more second IoT robots.

One or more of the one or more first IoT robots may be controlled to perform an operation of manufacturing an item corresponding to the one or more menus.

One or more of the one or more second robots may be controlled to deliver to the customer an item corresponding to the one or more menus or an item related to providing a service related to the one or more menus.

The one or more of the one or more second robots, the ID assigned to the one IoT device, the ID assigned to each of the one or more second robots, and the distance between each of the one or more second robots and the one IoT device Based on this, the one or more second robots may be selected.

The one or more of the one or more second robots, the ID assigned to the one IoT device, the ID assigned to each of the one or more second robots, and the distance between each of the one or more second robots and the one IoT device According to one embodiment of the present invention, which is selected from among the one or more second robots based on the one or more second attribute values, the one or more second attribute values are defined by the property of the menu and the level of the property of the menu. Values may be assigned in advance to each of a plurality of menus including a plurality of menus available at the plurality of stores according to an attribute value table.

The one or more first attribute values are based on a value being assigned to each of one or more estimated preference menus obtained based on the customer's order history at the plurality of stores and the recommendation model according to the attribute value table. can be obtained.

Based on the fact that a value matching a first value among the one or more first attribute values is included in the one or more second attribute values, the recommended menu list may include a menu corresponding to the first value.

Based on the fact that a value matching a second value among the one or more first attribute values is not included in the one or more second attribute values, a similarity score is obtained for each of the second value and the one or more second attribute values. And, the recommended menu list may include a menu corresponding to a value corresponding to the maximum or minimum similarity score among the one or more second attribute values.

A similarity score may be obtained for each of the first value and the one or more second attribute values.

The recommended menu list may further include a menu corresponding to a value corresponding to a similarity score that is above or below a preset threshold among the one or more second attribute values.

The one or more processors: transmit an advertising message obtained based on the type of the store and each type of a plurality of menus available at the store; It can be set to do so.

The above-described embodiment of the present invention is only a part of the preferred embodiments, and various embodiments reflecting the technical features of the present invention will be described in detail below by those skilled in the art. It can be derived and understood based on the explanation.

According to the present invention, an online food ordering and delivery method and system are provided that allow an orderer to order food from various restaurants at the same time when ordering food.

In addition, an online food ordering and delivery method and system is provided that allows restaurants to eliminate labor costs for food delivery. Furthermore, an online food ordering and delivery method and system are provided that can prevent delivery delays even if there are orders from multiple food orderers.

The effects that can be obtained from an embodiment of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly apparent to those skilled in the art based on the detailed description below. can be derived and understood.

The accompanying drawings, which are included as part of the detailed description to aid understanding of an embodiment of the present invention, provide an embodiment of the present invention, and together with the detailed description, explain technical features of an embodiment of the present invention.
1 is a diagram illustrating a serving system in which a method of operating a device for providing an order service according to an embodiment of the present invention can be implemented.
Figure 2 is a diagram showing the configuration of a terminal and/or server according to an embodiment of the present invention.
Figure 3 is a configuration diagram of an IoT robot according to an embodiment of the present invention.
Figure 4 is a diagram showing a method of measuring the surface tilt of an object stored in a storage unit through an infrared sensor unit according to an embodiment of the present invention.
Figure 5 is a diagram showing an example of a method of operating an IoT terminal and a server according to an embodiment of the present invention.
Figure 6 is a diagram showing an example of a method of operating an IoT terminal according to an embodiment of the present invention.
Figure 7 is a diagram showing an example of a server operation method according to an embodiment of the present invention.
Figure 8 is a diagram showing an example of a system configuration for operating a service platform according to an embodiment of the present invention.
Figure 9 is a diagram showing an example of a user interface provided through an IoT terminal according to an embodiment of the present invention.
Figure 10 is a diagram illustrating a process for obtaining a recommendation model according to an embodiment of the present invention.
Figure 11 is a diagram illustrating a method of operating a device for obtaining a recommendation model according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

In describing the embodiments, descriptions of technical content that is well known in the technical field to which the present invention belongs and that are not directly related to the present invention will be omitted. This is to convey the gist of the present invention more clearly without obscuring it by omitting unnecessary explanation.

For the same reason, some components are exaggerated, omitted, or schematically shown in the accompanying drawings. Additionally, the size of each component does not entirely reflect its actual size. In each drawing, identical or corresponding components are assigned the same reference numbers.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

At this time, it will be understood that each block of the processing flow diagrams and combinations of the flow diagram diagrams can be performed by computer program instructions. These computer program instructions can be mounted on a processor of a general-purpose computer, special-purpose computer, or other programmable data processing equipment, so that the instructions performed through the processor of the computer or other programmable data processing equipment are described in the flow chart block(s). It creates the means to perform functions. These computer program instructions may also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular manner, so that the computer-usable or computer-readable memory It is also possible to produce manufactured items containing instruction means that perform the functions described in the flowchart block(s). Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a process that is executed by the computer, thereby generating a process that is executed by the computer or other programmable data processing equipment. Instructions that perform processing equipment may also provide steps for executing the functions described in the flow diagram block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative execution examples it is possible for the functions mentioned in the blocks to occur out of order. For example, it is possible for two blocks shown in succession to be performed substantially at the same time, or it is possible for the blocks to be performed in reverse order depending on the corresponding function.

At this time, the term '~unit' used in this embodiment refers to software or hardware components such as FPGA (field-programmable gate array) or ASIC (Application Specific Integrated Circuit), and '~unit' refers to what role perform them. However, '~part' is not limited to software or hardware. The '~ part' may be configured to reside in an addressable storage medium and may be configured to reproduce on one or more processors. Therefore, as an example, '~ part' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or may be further separated into additional components and 'parts'. Additionally, components and 'parts' may be implemented to regenerate one or more CPUs within a device or a secure multimedia card.

In describing the embodiments of the present invention in detail, the main focus will be on the example of a specific system, but the main point claimed in this specification is that the scope disclosed in this specification is applicable to other communication systems and services with similar technical background. It can be applied within a range that does not deviate significantly, and this can be done at the discretion of a person with skilled technical knowledge in the relevant technical field.

1. Serving system implementation

1 is a diagram illustrating a serving system in which a method of operating a device for providing an order service according to an embodiment of the present invention can be implemented.

Referring to FIG. 1, the IoT-based serving system 10 according to an embodiment of the present invention can be implemented in various types of devices. In the description of an embodiment of the present invention, the IoT-based serving system 10 according to an embodiment of the present invention may be implemented by an electronic device. For example, the serving system 10 may be implemented in a server 20, a network 30, an IoT terminal 40, an IoT robot 50, and/or a POS device 60. In other words, the server 20, network 30, IoT terminal 40, IoT robot 50, and/or POS device 60 implements the present invention based on the serving system implemented in each device. The operation according to the example can be performed.

Meanwhile, the serving system 10 is not limited to what is shown in FIG. 1, and may be implemented in more diverse devices and/or servers.

The server 20 may be a device that performs wireless and/or wired communication with the IoT terminals 40 and includes a database with a large storage capacity. For example, the server 20 may be linked with a plurality of IoT terminals 40. Although not shown, a separate device may be provided to control/manage the server 20.

In addition, the server 20 measures customers' satisfaction with the restaurant (or canteen or restaurant) where the serving system 10 is provided based on signals obtained through the IoT terminal 40 and/or the IoT robot 50. An estimating process can be provided, or a process for estimating customers' satisfaction with food (or food items) provided through the IoT robot 50 can be implemented.

The IoT terminal 40 may be installed within a store to provide ordering services according to customer requests. However, the IoT terminal 40 according to an embodiment of the present invention is not limited to this, and for example, a smart device owned by a customer may also be the IoT terminal 40. In this case, the IoT terminal 40, which will be described later, Operations according to one embodiment may be implemented in the form of an application that can operate on the IoT terminal 40.

The IoT robot 50 is a restaurant to which the system 10 of the present invention is applied (or a store where employees are not permanently stationed, or a store where service is not performed by employees (a cafe that provides drinks, meals, and other products, a product store, or Implements the process of serving food, drinks and/or other items, and dishes (or containers) containing them to customers (including establishments such as restaurants and bars). In addition, the IoT robot 50 recognizes the served object in the process of serving objects including food, drinks and/or other items, and dishes (or containers) containing them, and performs an operation to control the movement speed to prevent food from spilling. It can be done. For example, the IoT robot 50 may recognize that an object has been stored through a weight sensor (not shown). Additionally, the IoT robot 50 can identify the tilt and/or dispersion of the food while moving to the position of the table where the customer who ordered the food is located. The IoT robot 50 can control its movement speed according to the inclination and/or dispersion of the food. Through this, the IoT robot 50 and its operating method can quickly deliver food in a bowl to a customer without spilling it.

The IoT robot 50 may be provided with a means of moving through the driving unit 320. For example, the IoT robot 50 may be equipped with a main wheel, an auxiliary wheel, and at least one shaft that becomes the rotation axis of the wheel (i.e., a mechanical element that transmits power or inserts a part that transmits power). The processor 360 of the IoT robot 50 controls the driving unit 320 to move from the current point (e.g., the location where the mobile robot in standby state is waiting or charging power) to a specific point in the store (e.g., the table where the customer is located). can be moved to the corresponding location). Additionally, the IoT robot 50 can set a movement path from the current point to a specific point and move according to the set movement path.

The POS device 60 provides a POS payment service using a pre-installed Point of Sales (POS) program.

The customer places an order through his or her customer terminal (not shown) and/or the IoT terminal 40 provided in the store, and the server 20 receives these orders and records them in the database 230 or the delivery driver terminal. You can control delivery corresponding to the order by sending it to (70). Here, the IoT terminal 40 and/or the delivery driver terminal 70 can be used by installing an application on a smartphone, etc., or a separate terminal can be manufactured and used.

And, when the order received through the customer terminal (not shown) and/or the IoT terminal 40 provided in the store is delivered to the server 20, the POS device 60 processes the order through the server 20. It can be delivered. As another example, the POS device 60 may directly receive orders received through a customer terminal (not shown) and/or an IoT terminal 40 provided in the store.

In addition, orders received through a customer terminal (not shown) and/or an IoT terminal 40 provided in a store may be received first through an external server (not shown), and the external server may receive the received order (e.g.; Second order information may be generated based on the first order information and delivered to the POS device 60 through the server 20, or directly delivered to the POS device 60. To this end, the external server (not shown) and/or the server 20 may create a virtual printer port and control the first order information and/or the second order information to be immediately transmitted. Additionally, examples of external servers (not shown) may include servers operated or managed by delivery agencies such as Baedal Minjok ^TM , Baedaltong ^TM , and Coupang Eats ^TM . Additionally, the first order information may include information about food, beverages, and stores. The second order information is information generated based on the first order information and may include information about the food, beverage, and store included in the first order information, and also information about the food, beverage, and store. It may include information (e.g., identifier (ID)) indicating the delivery company or delivery driver terminal 70 that matches.

Meanwhile, the order received through the customer terminal (not shown) and/or the IoT terminal 40 provided in the store, that is, the first order information is sent to an external server (not shown) ⇒ server 20 ⇒ POS device 60 or external By omitting the server 20 or POS device 60 in the middle of the process that was delivered through the server (not shown) ⇒ POS device 60 ⇒ server 20, the first order information and/or the second order information As order information is delivered more quickly and automatically, the effect of reducing the time gap between order and delivery can be expected. In addition, if the POS device 60 is omitted, it is more efficient because the store staff does not have to go through the process of entering the information elsewhere (e.g., the server 20) after confirming that the first order information has been received. It can be seen that it will happen. Meanwhile, by having an in-store employee input first order information (and/or second order information) into the POS device 60, the corresponding information can be transmitted to the server 20. The delivered information can be delivered to a terminal (or IoT device, artificial intelligence refrigerator, etc.) placed in and/or located in the kitchen in the store to start (and/or prepare) the dish corresponding to the order. .

Serving system 10 may include various modules for operation. Modules included in the serving system perform specified operations by physical devices (e.g., server 20, IoT terminal 40, and/or IoT robot 50) on which the serving system is implemented (or included in the physical device). It may be computer code implemented to do this or one or more instructions. In other words, the physical device on which the serving system 10 is implemented stores a plurality of modules in memory in the form of computer code, and when the plurality of modules stored in the memory are executed, the plurality of modules correspond to the plurality of modules in the physical device. You can perform specified actions.

In addition, the server 20 receives the customer's personal information and first order information from the customer terminal, and determines whether the first order information (and/or the second order information generated based on the first order information) is automatically delivered. You can decide.

For example, the server 20 may omit or proceed with the above depending on whether or not to automatically deliver. Meanwhile, if the first step is omitted, after the second order information is delivered to the delivery driver terminal, third order information generated based on the second order information may be delivered to the POS device 30. At this time, the third order information may be generated based on the second order information and information about the delivery driver terminal, and the third order information may include an estimated delivery time.

Additionally, the server 20 may wait for and/or receive an input as to whether to deliver the first order information (and/or the second order information) to the delivery driver terminal through the POS device (and/or customer terminal). (Step 1). For example, the server inputs whether to deliver the first order information (and/or the second order information) to the delivery driver terminal or is input by the POS device (and/or customer terminal) or the POS device (and/ Alternatively, it may remain in a waiting state until delivered from a customer terminal).

Additionally, the server 20 may generate second order information based on the customer's personal information and first order information and transmit it to the delivery driver terminal (second step). For example, the server may generate second order information based on the customer's personal information, first order information, and restaurant information. For example, the server may generate second order information based on the customer's personal information, first order information, restaurant information, and information about the delivery driver terminal. Information about the delivery driver's terminal may include the delivery driver's personal information, information about the delivery driver's delivery work, and information about the delivery agency. At this time, information about the delivery driver's delivery work may include the cumulative delivery volume over a predetermined period, the same-day delivery volume, and the delivery volume received in real time.

The predetermined period may represent a period such as a year, a month, or a week, or may represent the amount of delivery progressed within a peak time during a unit such as a year, a month, or a week.

The peak time is predefined as a specific time zone such as “12:00 to 1:00” or “18:00 to 19:00”, is defined based on the number of first order information received through the online platform of the present invention, or is defined by the delivery driver It may be determined based on the number of second order information delivered to the terminal.

Additionally, the server 20 (and/or processor 240) may calculate the comprehensive score (CompS) based on Equation 1 below, and proceed with the decision in step S920 based on the comprehensive score. there is.

For example, the server 20 (and/or processor 240) may be controlled to skip the first step and proceed with the second step when CompS in Equation 1 exceeds a predetermined threshold, , If CompS is below a predetermined threshold, the process can be controlled to proceed with the first step (that is, it can wait to receive a request instructing delivery of order information from the customer terminal (or POS device)).

[Equation 1]

CleanS corresponds to the Cleanliness Score, StabS corresponds to the Stability Score, and DisDiff is the distance between the first location information of the POS device (or restaurant) and the second location information of the customer terminal. It may correspond to Distance Difference.

w1 may be a first weight corresponding to the cleanliness score, and w2 and w3 may be second and third weights corresponding to the stability score.

The cleanliness score may refer to a score indicating the cleanliness of the restaurant (i.e., the restaurant corresponding to the POS device) and may be defined as a constant value from 0 to 10. As an example, the cleanliness score is a value assigned based on the number of inspections by external organizations (e.g., Ministry of Food and Drug Safety, other government agencies, local governments, etc.), the rating given by external organizations (e.g., hygiene rating system), and the type of food sold. It can be defined as a constant value from 0 to 10 based on . To this end, the server 20 may receive information indicating the number of times the restaurant has been inspected by an external agency and the rating the restaurant has received from the external agency from an external server corresponding to the external agency.

As an example, the cleanliness score can be defined (and/or calculated) based on Equation 2 below.

[Equation 2]

Count corresponds to the number of times the restaurant (i.e., a restaurant corresponding to a POS device) has been inspected by an external organization (e.g., the Ministry of Food and Drug Safety, other government agencies, local governments, etc.), and the Level corresponds to the number of times the restaurant has been inspected by an external organization. It corresponds to the grade, and the Category may correspond to the (food) category of the food registered as the main menu by the restaurant.

As an example, Count may represent the number of times the restaurant has been inspected by an external agency during a predetermined period (e.g., weekly, monthly, yearly).

As an example, the level may be set to the first value if the rating given to the restaurant by an external organization is the highest, set to the second value if it is the next highest grade, and set to the third value if it is a different grade. The first value may be higher than the second value, and the second value may be higher than the third value. For example, the first value may be set to '2', the second value may be set to '1', and the third value may be set to '0.5'.

As an example, the Category may be set differently depending on the degree to which the food (food) category registered as the main menu by the restaurant changes over time. For example, main dishes change over time after being cooked, such as 'tempura', 'pasta', 'grilled meat', 'sashimi', 'sushi', 'yukhoe', 'ice cream', 'shaved ice', etc. If it is a food category with a relatively large degree of change, Category is set to the fourth value, and if the main menu is a food category with a relatively small degree of change over time after it is cooked, such as 'bread', 'fruit', etc. Category can be set to the fifth value. The fourth value may be higher than the fifth value.

The stability score (StabS) is the estimated arrival time of the delivery (or delivery) of the restaurant (i.e., the restaurant corresponding to the POS device) or the delivery driver (i.e., order information provided by the server 20 to the customer terminal 10). It is a value calculated based on the percentage of normal delivery completion within the expected arrival time (corresponding to the expected arrival time), and can be defined as a constant value from 0 to 10. The estimated arrival time may be determined by the server 20 based on the location information of the customer terminal and the location information of the POS device (or the restaurant), further considering information about the delivery driver terminal and/or stability score (StabS). This may be decided.

For example, if the percentage of deliveries by the restaurant or the delivery driver that was completed normally within the above expected arrival time is between 90 [%] and 100 [%], 10 points, and if it is between 80 [%] and below 90 [%], the score is 10 points. 9 points, 8 points for 70[%] to 80[%], 7 points for 60[%] to 70[%], 6 points for 50[%] to 60[%], 40[%] %] to 50[%], 5 points, 30[%] to 40[%], 4 points, 20[%] to 30[%], 3 points, 10[%] to 20[%] %], the stability score (StabS) can be set to 2 points, and if it is 00 [%] or more but less than 10 [%], the stability score (StabS) can be set to 1 point.

The server 20 can calculate the relative value (RelValue, Relative Value) of Equation 1 based on Equation 3 below.

[Equation 3]

RelValue is a relative value that is the standard for determining the calculation method in Equation 1, and CusPoi is the point accumulated by the customer of the customer terminal by placing several delivery orders through the online platform of the present invention (Customer Point) ), and OrdPri may correspond to the total delivery fee (Order Price) that the customer placed an order with the restaurant.

Figure 2 is a diagram showing the configuration of a terminal and/or server according to an embodiment of the present invention.

Referring to FIG. 2, each of the server 20 and/or terminal 40 may include an input/output unit 210, a communication unit 220, a database 230, and a processor 240.

The input/output unit 210 may be various interfaces or connection ports that receive user input or output information to the user. The input/output unit 210 can be divided into an input module and an output module, and the input module receives user input from the user. User input can take various forms, including key input, touch input, and voice input. Examples of input modules that can receive such user input include traditional keypads, keyboards, and mice, as well as touch sensors that detect the user's touch, microphones that receive voice signals, cameras that recognize gestures through image recognition, etc. A proximity sensor consisting of an illumination sensor or an infrared sensor that detects the user's approach, a motion sensor that recognizes the user's movements through an acceleration sensor or a gyro sensor, and various other types of input means that detect or receive various types of user input. It is a comprehensive concept that includes all of the following. Here, the touch sensor may be implemented as a piezoelectric or capacitive touch sensor that detects touch through a touch panel or touch film attached to the display panel, or an optical touch sensor that detects touch by an optical method. In addition, the input module may be implemented in the form of an input interface (USB port, PS/2 port, etc.) that connects an external input device that receives user input instead of a device that detects user input by itself. Additionally, the output module can output various information and provide it to the user. An output module is a comprehensive concept that includes a display that outputs images, a speaker that outputs sound, a haptic device that generates vibration, and various other types of output means. In addition, the output module may be implemented in the form of a port-type output interface that connects the individual output means described above.

As an example, a display-type output module can display text, still images, and moving images. Displays include liquid crystal display (LCD), light emitting diode (LED) display, organic light emitting diode (OLED) display, flat panel display (FPD), and transparent display. display, curved display, flexible display, 3D display, holographic display, projector, and various other types of devices that can perform image output functions. It is a concept that refers to a video display device in a broad sense that includes everything. This display may be in the form of a touch display integrated with the touch sensor of the input module.

The communication unit 220 can communicate with external devices. Accordingly, the terminal and/or server can transmit and receive information with an external device through the communication unit. For example, the terminal and/or server may use the communication unit to communicate with an external device so that information stored and created in the serving system is shared.

Here, communication, that is, transmission and reception of data, can be accomplished wired or wirelessly. To this end, the communication department includes a wired communication module that connects to the Internet, etc. through a LAN (Local Area Network), a mobile communication module that transmits and receives data by connecting to a mobile communication network through a mobile communication base station, and a WLAN (Wireless Local Area Network) such as Wi-Fi. A short-distance communication module using an Area Network-type communication method or a WPAN (Wireless Personal Area Network)-type communication method such as Bluetooth or Zigbee, and a GNSS (Global Navigation Satellite System) such as a GPS (Global Positioning System) ) may be composed of a satellite communication module using a satellite communication module or a combination thereof. Wireless communication technology used for communication may include NB-IoT (Narrowband Internet of Things) for low-power communication. At this time, for example, NB-IoT technology may be an example of LPWAN (Low Power Wide Area Network) technology, and may be implemented in standards such as LTE Cat (category) NB1 and/or LTE Cat NB2, and may be referred to in the above names. It is not limited. Additionally or alternatively, the wireless communication technology implemented in the wireless device according to an embodiment of the present invention may perform communication based on LTE-M technology. At this time, as an example, LTE-M technology may be an example of LPWAN technology, and may be called various names such as eMTC (enhanced Machine Type Communication). For example, LTE-M technologies include 1) LTE CAT 0, 2) LTE Cat M1, 3) LTE Cat M2, 4) LTE non-BL (non-Bandwidth Limited), 5) LTE-MTC, 6) LTE Machine. It can be implemented in at least one of various standards such as Type Communication, and/or 7) LTE M, and is not limited to the above-mentioned names. Additionally or alternatively, the wireless communication technology implemented in the wireless device according to an embodiment of the present invention is at least one of ZigBee, Bluetooth, and Low Power Wide Area Network (LPWAN) considering low-power communication. It may include any one, and is not limited to the above-mentioned names. As an example, ZigBee technology can create personal area networks (PAN) related to small/low-power digital communications based on various standards such as IEEE 802.15.4, and can be called by various names.

The database 230 can store various types of information. A database can store data temporarily or semi-permanently. For example, the database includes an operating program (OS: Operating System) for running a terminal and/or server, data for hosting a website, a program for generating Braille, or data about an application (e.g., a web application). etc. can be stored. Additionally, the database may store modules in computer code form as described above.

Examples of the database 230 include hard disk drive (HDD), solid state drive (SSD), flash memory, read-only memory (ROM), random access memory (RAM), etc. This can be. These databases can be provided as built-in or detachable types.

The processor 240 controls the overall operation of the server 20, IoT terminal 40, and/or IoT robot 50. To this end, the processor 340 can perform computation and processing of various information and control the operation of components of the terminal and/or server. For example, the processor 240 may execute a program or application for providing order services. The processor 240 may be implemented as a computer or similar device based on hardware, software, or a combination thereof. In hardware, the processor 240 may be provided in the form of an electronic circuit that processes electrical signals to perform a control function, and in software, it may be provided in the form of a program that drives the hardware processor 240. Meanwhile, unless otherwise specified in the following description, the operations of the terminal and/or server may be interpreted as being performed under the control of the processor 240. That is, when modules implemented in the serving system are executed, the modules can be interpreted as the processor 240 controlling the terminal and/or server to perform the following operations.

In summary, an embodiment of the present invention may be implemented through various means. For example, an embodiment of the present invention may be implemented by hardware, firmware, software, or a combination thereof.

In the case of hardware implementation, the method according to an embodiment of the present invention uses one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), and programmable logic devices (PLDs). , can be implemented by FPGAs (field programmable gate arrays), processors, controllers, microcontrollers, microprocessors, etc.

In the case of implementation by firmware or software, the method according to an embodiment of the present invention may be implemented in the form of a module, procedure, or function that performs the functions or operations described below. For example, software code can be stored in memory and run by a processor. The memory may be located inside or outside the processor, and may exchange data with the processor through various known means.

In addition, the server 20 is connected to the IoT terminal 40, IoT robot 50, delivery driver terminal 70, etc. through a wired or wireless communication network (i.e., network 30), and the database 230 is connected to the customer Information, store information, and/or delivery driver information may be stored.

The server 20 (and/or processor 240) controls the customer to pay food and delivery costs when ordering through the customer mandal (not shown) and/or the IoT terminal 200, and delivers the food upon receipt of the order. The route can be set and controlled to match the delivery to the delivery driver using the derived route and the delivery driver's information confirmed through the database 230.

In addition, the IoT terminal 40 is equipped with GPS, so the customer can check the current location of the customer terminal (not shown) in real time on the server 20 when ordering, so that the processor 240 can determine the location of the customer from the store to the customer. You can immediately create a route.

In addition, since the delivery driver terminal 70 is also equipped with GPS, the server 20 can check the location of the delivery driver in real time, so when the processor 240 creates a route from the store to the customer's location, the processor 240 240 (and/or communication unit 220) confirms the location of the delivery driver and transmits the delivery order along with the route information to the delivery driver terminal 70 located closest to the store.

Therefore, customers can quickly order and receive the food they want, and when delivery is completed, the customer confirms delivery completion through the IoT terminal 40 and calculates the delivery cost and food cost from the amount paid at the time of ordering. and is assigned to delivery drivers.

Meanwhile, when an additional order is received, the processor 240 sends the delivery driver to the delivery driver of the pre-received order if the delivery route derived through the processor 240 is similar to the delivery route of the pre-received order. Additional delivery orders are assigned through the terminal 70.

Here, since the time required to prepare food varies depending on the food of each order received by the customer, the waiting time for each food is stored in the database 230, and the processor 240 stores the pre-ordered food. The waiting time to allocate additional orders is set considering the waiting time, the location of the store, and the location of the delivery driver. At this time, if an additional order with a similar delivery route is received within the set waiting time, the processor 240 allocates the additional delivery order to the delivery driver of the corresponding pre-order.

Meanwhile, when the processor 240 allocates an additional order, the processor 240 derives an optimal delivery route by considering both pre-orders and additional orders. When deriving the delivery route, the processor 240 , a delivery route is set with priority placed on pre-orders to prevent delays in delivery time as much as possible.

Also, as described above, when there is an additional order and one delivery driver delivers multiple foods, the overall delivery cost can be reduced because multiple foods are delivered in one delivery. Here, when ordering food, the customer pays both the cost of the food and the delivery cost through the customer terminal (not shown) and/or the processor 240. When multiple foods are delivered by one delivery driver, each food Points are allocated to each customer based on the total delivery cost paid by the customer who ordered, minus the actual delivery cost allocated to the delivery driver.

For example, when one delivery driver delivers 4 foods at once, each customer pays 2,000 won for the delivery fee, and 4,000 won is allocated to the delivery driver's delivery fee, so the total delivery cost for the customers is If you deduct the delivery cost of 4,000 won from 8,000 won, 4,000 won will be allocated equally to 4 customers, with 1,000 won as points. The points allocated in this way can be used by customers to pay for delivery costs when ordering in the future, and even when ordering in the future, if multiple deliveries are delivered by one delivery driver, the delivery costs paid with points can also be refunded back to customers. Delivery costs incurred each time you order food can be reduced.

Meanwhile, in the case of delivery drivers, the basic delivery cost is set at 2,000 won, and if additional deliveries are made at the same delivery cost, it is a loss, so the processor 240 determines that if additional deliveries are assigned to each delivery driver, By assigning a set additional amount to each additional delivery in addition to the basic delivery fee, delivery drivers can also receive fair compensation for additional deliveries.

At this time, as described above, the customer may pay both the cost of the food and the delivery cost at the time of ordering, or, although not shown in the drawing, may proceed with payment upon completion of delivery.

In this way, one embodiment of the present invention is a customer terminal (not shown) and/or IoT terminal 40, where a customer applies for an order through an application, and the customer terminal (not shown) and/or IoT terminal 40. A system consisting of a server 20 that accepts orders, a store that receives order orders from the server and prepares food, and a delivery driver terminal 70 that receives delivery orders from the server 20 and notifies them to the delivery driver. suggests.

The server 20 includes a database in which customer information is stored, a database in which store information is stored, a delivery driver DB in which delivery driver information is stored, and a payment module that pays for food and delivery costs when ordering. It may be comprised of a route module that sets a delivery route upon receipt of an order, and a matching module that matches the delivery to the delivery driver through the route derived from the route module and the delivery driver's information confirmed through the delivery driver DB.

The server 20 is further equipped with a delivery support database that stores information on customers who are customers and support delivery, and the matching module is configured to match the route derived from the route module and the delivery driver confirmed through the delivery driver DB and delivery support database. Alternatively, you can match deliveries to delivery-enabled customers.

The delivery support database may include a regular movement storage unit in which information on the regular movement of customers who support delivery is stored, and a one-time movement storage unit in which information is moved sporadically.

The regular movement storage unit and the one-time movement storage unit may store information on the time zone, movement route, and means of movement of the customer supporting the delivery.

The matching module adds additional points according to the location of the store and the customer and the means of transportation if the travel time and travel route among the information of the customer who supported the delivery are similar, but the location of the store and the customer is such that the vehicle can easily move. You can match delivery drivers by giving extra points to vehicles if they are located on a boulevard, giving extra points to motorcycles or bicycles if there are alleys, and giving extra points to people on foot if there are a lot of stairs.

When receiving an additional order, the matching module uses the same delivery driver if the delivery route derived through the route module is similar to the delivery route of the pre-received order, and if the waiting time set from the reception time of the pre-received order has not elapsed. Additional deliveries may be assigned to .

When an additional delivery on a similar route is assigned to a delivery driver, the payment module can allocate the amount of the allocated delivery cost minus the delivery cost paid by orderers of the delivery as points that can be used to pay the delivery cost to each customer. .

The server 20 may be further equipped with an advertising module that transmits advertising information to an IoT terminal and grants points when a customer watches an advertisement. At this time, the advertising module is further equipped with a taste analysis module to analyze the database to determine information on the preferred food for each customer and transmit advertisements related to the preferred food to the customer.

When an additional delivery is assigned from the matching module, the route module can derive an optimal route by considering the current location of the delivery driver, the previously accepted delivery route, and the route of the additionally accepted delivery.

Additionally, an embodiment of the present invention may further include the following features.

The system 10 according to an embodiment of the present invention includes: a server 20 that provides business information of one or more restaurant workers; It is wirelessly connected to the server 20, generates customer order information from the business information of restaurant workers provided by the server 20, and transmits the generated customer order information to the server 20. IoT terminal; A first POS device that is connected to the server 20 by wire or wirelessly, receives the customer's order information transmitted by the IoT terminal, and processes order processing and payment in response to the received order information; and a second POS device wirelessly connected to one selected from the server 20, the first POS device, and a combination thereof, and at least one terminal selected from the second POS device - hereinafter referred to as an intermediate terminal. - Receives the customer's order information transmitted by the IoT terminal according to a setting command of the first POS device, and processes order progress and payment corresponding to the received order information by the intermediate terminal. The order process corresponding to the received order information is performed when the intermediate terminal is selected from among the remaining second POS devices excluding the intermediate terminal among the second POS devices. This is performed by transmitting the order information, and the processing terminal processes order details according to the order information, so that even when the restaurant worker of the first POS device leaves the business space, the restaurant of the first POS device The worker receives the customer's order information transmitted by the IoT terminal through the setting command of the first POS device and causes the intermediate terminal to process the order and payment corresponding to the received order information. You can.

The server 20 provides business information of one or more restaurant workers. Additionally, the server 20 may store customer order information transmitted from the IoT terminal 40. Additionally, the server 20 may receive the progress of the customer's order information from the first POS device or the second POS device in real time or at predetermined time intervals and store it. The customer's order information or the progress status of the order information stored in the server 20 may be provided to the IoT terminal 40, the first POS device, or the second POS device when they request it. In other words, the server 20 may be connected to the additional first POS device at the same time in addition to the first POS device. The server 20 may be a server that manages one business location, or may be a server that manages one or more business locations simultaneously. In the latter case, the first POS device connected to the server 20 and the owner of the additional first POS device can share customer order information, order progress information, payment information, etc., if necessary. In addition, the owner of the first POS device and the additional first POS device can share product inventory information, raw material inventory information, ordered products or product progress, etc. of the business office they manage. Through this, managers of different business offices can exchange goods, raw materials, products, etc. between business offices that have concluded mutual cooperation through the server 20.

The IoT terminal 40 is connected to the server 20 by wire or wirelessly, and receives the business information of restaurant workers provided by the server 20. Additionally, the IoT terminal 40 can receive information about how its order details are progressing from the server 20. Additionally, the IoT terminal 40 may receive information about how its order details are progressing from the first POS device or the second POS device. The IoT terminal 40 generates the customer's order information from the received business information of the restaurant worker and transmits the generated customer's order information to the server 20. The customer's order information may be food order information, for example. As another example, the customer's order information may be product order information for products placed in the restaurant worker's business space. The above example is for understanding, and in addition to the above example, various information may be used as the customer's order information. As another example, unlike what is shown in the drawing, the IoT terminal 40 may be connected to the first POS device or the second POS device wired or wirelessly and receive the business information of the restaurant worker. In this case, the restaurant worker's business information may be received directly from the first POS device or the second POS device, or may be received from the server 20 via the first POS device or the second POS device.

The process by which the IoT terminal 40, which has received the restaurant worker's business information, transmits the customer's order information to the server 20 may be carried out in various ways.

In one embodiment, the process of the IoT terminal 40 receiving the business information of a restaurant worker and transmitting the customer's order information to the server 20 is performed by the holder of the first POS device or the second POS device. This may be done by visiting the customer in person and then directly entering the order information into the first POS device or the second POS device.

In another embodiment, the process of the IoT terminal 40 receiving the business information of a restaurant worker and transmitting the customer's order information to the server 20 is performed using a first POS device or a second POS device having an NFC communication function. It may be carried out through NFC communication between the holder and the customer's IoT terminal 40 with NFC communication function.

In another embodiment, the process of the IoT terminal 40 receiving the business information of a restaurant worker and transmitting the customer's order information to the server 20 may be performed through software. The software can provide a smart menu board that allows small business owners to promote their business and allows customers to easily view information about the small business owners. Customers can easily go to the small business owners' website through the smart menu board, check the information about the small business owners, and purchase products. Additionally, the software may provide social commerce functions. Through the functions provided by the above software, customers can have conversations with multiple customers who have visited the business space utilizing the remote order smart POS system presented in this specification. The business space utilizing the remote order smart POS system may be a business space visited by customers, or may be a business space located nearby or far away. Additionally, through the software, customers can also negotiate prices with restaurant workers regarding products and services they order. Additionally, customers can leave visit reviews, usage reviews, etc. on the server 20 through the software. Additionally, restaurant workers can leave event information taking place in their business space on the server 20, the first POS device, or the second POS device. In this case, customers may apply for the event through the software or transmit information related to the event to the server 20, the first POS device, or the second POS device.

The customer can install the software on the IoT terminal 40 through a download path known in advance or by looking at the download path suggested in promotional materials placed at a predetermined location in the restaurant worker's business space. In this case, the software can also provide information about the server 20 to the IoT terminal 40. The software may be installed on the IoT terminal 40 in the form of an application, for example. The customer can connect to the server 20 wired or wirelessly through the software installed on the IoT terminal 40 and receive the business information of restaurant workers provided by the server 20. The customer can use the business information of the restaurant worker received by the IoT terminal 40 to create the customer's order information and then transmit it to the server 20 through the IoT terminal 40.

As another example, a customer can install the software on the IoT terminal 40 through an NFC tag placed at a predetermined location in the restaurant worker's business space. In this case, the software can also provide information about the server 20 to the IoT terminal 40. The NFC tag can provide information about the software and server 20 to the IoT terminal 40 through NFC (Near Field Communication) communication with the IoT terminal 40. The customer can connect to the server 20 wired or wirelessly through the software installed on the IoT terminal 40 and receive the business information of restaurant workers provided by the server 20. The customer can use the business information of the restaurant worker received by the IoT terminal 40 to create the customer's order information and then transmit it to the server 20 through the IoT terminal 40. Meanwhile, the NFC tag may include the predetermined location information of the restaurant worker's business space. The predetermined location information of the restaurant worker's business space may help the server 20 or the first POS device determine the customer's location. In other words, the restaurant worker processes the customer's order details from the customer's order information transmitted to the server 20 through the IoT terminal 40. Thereafter, in the process of delivering the order result to the customer, the predetermined location information of the business space of the restaurant worker included in the NFC tag can be used. Through this, the order results can be prevented from being delivered to other locations, allowing restaurant workers to effectively manage orders.

The first POS device is connected to the server 20 by wire or wirelessly and receives the customer's order information transmitted by the IoT terminal 40. In the drawing, only one first POS device is shown as an example, but it is obvious that there can be multiple first POS devices depending on the convenience of restaurant workers. For convenience of explanation below, as shown in the drawings, the description will be made using one first POS device as the first POS device. It is obvious that this description does not limit the scope of rights of the remote ordering smart POS system disclosed in this specification.

The first POS device processes orders and payments in response to the received order information. Additionally, the first POS device may transmit the progress of the customer's order information to the server 20 in real time or at predetermined time intervals. The process of order processing and payment processing in response to the order information received by the first POS device may be carried out in various ways.

In one embodiment, the process of order processing and payment processing in response to the order information received by the first POS device is performed by the restaurant worker holding the first POS device or the restaurant worker in charge of the business space. It can be performed directly by the person in charge. For convenience of explanation below, the restaurant worker holding the first POS device or the person in charge of the restaurant worker's business space will be referred to as a master. After receiving the customer's order information stored in the server 20, the master can directly deliver the order result to the customer. In this case, the master himself may directly place an order based on the order information, or the order may be placed by delivering the order information to an employee. Additionally, the master may provide the order information or order progress status to the customer. Since the detailed description of this can be inferred from the detailed description of the function of the second POS device, it will be omitted for convenience of explanation. In other words, the functions of the second POS device mentioned in the detailed description of the functions of the second POS device may also be performed by the first POS device. It is obvious to those skilled in the art related to the content disclosed in this specification that the functions of the second POS device mentioned in the detailed description of the role of the second POS device can be easily adopted in the first POS device. . Additionally, the master may directly process payment for the order information. For example, payment for the order information may proceed through the following process. The master transmits the customer's card information to the card company server (not shown) through a wired or wireless method through the first POS device. In this case, the customer's card information may be transmitted to the card company server via the server 20. The card company server compares the received card information of the customer with the customer's information in a database (data base) stored in the card company server. If the received customer's card information matches the customer's information in the DB of the card company server, payment approval information is generated. The generated payment approval information is stored and managed in the DB of the card company server and is also transmitted to the first POS device. In this case, the payment approval information may be transmitted to the first POS device via the server 20. It is clearly stated that the term "customer's card information" used in this specification is used to encompass all known information related to the customer's credit transaction in addition to OTP security information, one-time Secure Click PIN information, or card information.

In other words, the first POS device is connected to the server 20 by wire or wirelessly and can receive the customer's order information transmitted by the IoT terminal 40. Through this, the first POS device can generate at least one selected from sales data by business period, purchase data, National Tax Service electronic reporting data, and a combination thereof from the customer's order information received. In addition, the first POS device can check the customer's purchase tendency, purchase frequency, etc. from the received credit information such as the customer's card information. Through this, the remote order smart POS system disclosed in this specification can efficiently manage orders, sales, purchases, customer management, etc. that occur in the business space of the business operator with just the first POS device. Additionally, the first POS device can provide the restaurant worker with information that allows the restaurant worker to monitor the mission assigned to the second POS device in real time or at a predetermined time interval. The monitoring information may be stored in the memory of the first POS device or in the memory of the server 20. Restaurant workers can check the monitoring information stored in the memory of the first POS device or the memory of the server 20 through the first POS device, thereby effectively managing work.

In another embodiment, the process of order processing and payment processing by the first POS device in response to the received order information may be performed as a process of order processing by the first POS device and payment processing through a peripheral device. Since the payment process through the POS device is substantially the same as the payment process through the first POS device, detailed description thereof is omitted for convenience of explanation. The POS device that made the payment may transmit the customer's information collected through a peripheral device to the first POS device or server 20 by wire or wirelessly. Through this, the first POS device or server 20 can receive and manage the customer's information. In this case, the first POS device may function as an input means for inputting card information, payment information, etc. of the POS device. In other words, the POS device can receive the customer's information displayed on the screen of the first POS device or through an input button attached to the body of the first POS device. A detailed explanation of this will be provided in the detailed description of POS devices and peripheral devices.

In another embodiment, the process of order processing and payment processing in response to the order information received by the first POS device may be performed using the second POS device. If necessary, the first POS device can grant store management authority, payment authority related to customer payment, etc. to a specific second POS device. A detailed description of this will be provided in the detailed description of the functions of the second POS device. The functions of the second POS device mentioned in the detailed description of the functions of the second POS device may also be performed by the first POS device. It is obvious to those skilled in the art related to the content disclosed in this specification that the functions of the second POS device mentioned in the detailed description of the role of the second POS device can be easily adopted in the first POS device. . Accordingly, a detailed description of the functions of the second POS device that the first POS device can perform will be omitted.

The NFC tag is placed at a predetermined location in the business space of the restaurant worker. The NFC tag provides the IoT terminal 40 with information on the software and server 20 for generating and transmitting the customer's order information through NFC communication with the IoT terminal 40. Meanwhile, the NFC tag may provide the IoT terminal 40 with the predetermined location information of the restaurant worker's business space.

The second POS device may be connected wired or wirelessly to one selected from the server 20, the first POS device, and a combination thereof. In one embodiment, the IoT terminal 40 may transmit the customer's identification number to the server 20. The second POS device may receive the customer's identification number through conversation with the customer or NFC communication with the IoT terminal 40. Through this, the second POS device can receive the customer's order information or order progress status by transmitting the received identification number of the customer to the server 20 or the first POS device. In other words, an employee holding the second POS device 120 can receive the customer's identification number verbally or through NFC communication from the customer if requested or necessary by a customer visiting the business space of the restaurant worker. You can. By using the received identification number of the customer, the order information ordered by the customer can be confirmed, and through this, the progress of the order information ordered by the customer can be provided to the customer. The identification number of the customer may be, for example, the customer's mobile phone number. The mobile phone number of the customer may be transmitted to the server 20 in the process of the customer transmitting the order information to the server 20 through the IoT terminal 40.

In another embodiment, the second POS device may receive the predetermined location information of the business space through NFC communication with the IoT terminal 40. The second POS device may transmit the received predetermined location information to the server 20 or the first POS device to receive the customer's order information or order progress status generated at the predetermined location. In other words, if a customer who visits the business space of the restaurant worker requests or needs it, an employee holding the second POS device 120 may conduct the business through NFC communication with the IoT terminal 40 occupied by the customer. The predetermined location information in space can be received. By using the predetermined location information of the business space, order information ordered by the customer can be confirmed, and through this, the progress of the order information ordered by the customer can be provided to the customer. For example, the predetermined location information of the business space may be the seat number of the seat where the customer is seated. The customer's seat number may be transmitted to the server 20 in the process of the customer transmitting the order information to the server 20 through the IoT terminal 40.

In another embodiment, the second POS device is placed at a predetermined location in the restaurant worker's business space and can perform NFC communication with an NFC tag containing the predetermined location information of the restaurant worker's business space. there is. The second POS device can receive the predetermined location information of the business space through NFC communication with the NFC tag. The second POS device may transmit the received predetermined location information to the server 20 or the first POS device to receive the customer's order information or order progress status generated at the predetermined location. In other words, an employee holding the second POS device 120 may, when requested or necessary by a customer visiting the business space of the restaurant worker, locate the predetermined location of the business space of the restaurant worker occupied by the customer. The predetermined location information of the business space can be received through NFC communication with an NFC tag placed in. By using the predetermined location information of the business space, order information ordered by the customer can be confirmed, and through this, the progress of the order information ordered by the customer can be provided to the customer. For example, the predetermined location information of the business space may be the seat number of the seat where the customer is seated. The customer's seat number may be transmitted to the server 20 in the process of the customer transmitting the order information to the server 20 through the IoT terminal 40.

In another embodiment, the second POS device may be assigned a role according to a setting command from the first POS device. The role may be, for example, distribution of roles to an area in charge of an employee who is the holder of the second POS device. As another example, the role may be role distribution for tasks handled by the employee who is the owner of the second POS device. The tasks handled by the above-mentioned employees may include, for example, production tasks, delivery tasks, cooking tasks, payment tasks, and transportation tasks. The above example is for understanding purposes only. In addition to the above examples, the first POS device may distribute various tasks to the second POS device. The first POS device may transmit the customer's order information to at least one terminal selected from the second POS devices. Hereinafter, at least one terminal selected from among the second POS devices will be referred to as a first processing terminal. The first processing terminal or a restaurant worker at the first processing terminal processes order details according to the customer's order information transmitted by the first POS device. When the processing of the order details is completed, the first processing terminal notifies the first POS device of the completion of order processing. In this case, the first POS device may notify at least one terminal selected from among the second POS devices excluding the first processing terminal to deliver the completed order result to the customer. Hereinafter, at least one terminal selected from among the second POS devices excluding the first processing terminal will be referred to as a first delivery terminal. The first delivery terminal or a restaurant worker of the first delivery terminal may deliver the order result to the customer according to a notification from the first POS device.

Restaurant workers can maximize work efficiency by receiving order information through the IoT terminal 40 and processing the order information and delivering order results through a second POS device with distinct roles. Specific details regarding this will be described with reference to FIG. 2 .

Among the second POS devices, the first processing terminal is designated as the 2-1 POS device, and the first delivery terminal is designated as the 2-2 POS device. For example, the first POS device may check the customer's order information stored in the server 20 and transmit the order information to the 2-1 POS device. In this case, the customer's order information may be transmitted to the 2-1 POS device through the first POS device. Alternatively, the customer's order information may be transmitted to the 2-1 POS device through the server 20. At this time, the first POS device may issue a command to the 2-1 POS device to process the order details after receiving the customer's order information from the server 20. The 2-1 POS device or an employee holding the 2-1 POS device processes order details according to the order information transmitted by the 1st POS device. When the processing of the order details is completed, the 2-1 POS device notifies the first POS device of the completion of order processing. The first POS device that receives the order processing completion notification may notify the 2-2 POS device to deliver the completed order result to the customer. In this case, information about the order result that has been processed may be transmitted to the 2-2 POS device through the first POS device. Alternatively, information about the order result that has been processed may be transmitted to the 2-2 POS device through the server 20. At this time, the first POS device may receive information about the order result that has been processed from the server 20 to the 2-2 POS device and then issue a command to deliver the completed order result to the customer. The 2-2 POS device or an employee holding the 2-2 POS device delivers the order result to the customer according to the delivery information transmitted by the first POS device. If the customer's order information must be performed by a plurality of employees, the first POS device may transmit the order information to the 2-n POS device in addition to the 2-1 POS device. Likewise, if the process of delivering the order result must be performed by a plurality of employees, the first POS device can transmit the delivery information to a second POS device other than the 2-1 POS device. By distinguishing the roles of the second POS device, an employee who owns the second POS device only has to handle tasks designated by the first POS device. Restaurant workers can check the tasks assigned to each employee through the first POS device, enabling comprehensive management of information such as product sales and order information processing.

In the case of conventional order management systems, receiving order information, processing orders, and delivering order results were often performed directly by specific employees. In this case, problems such as a concentration of orders for a specific employee and unnecessary waste of time due to the long movement line of a specific employee often occur. Additionally, in the case of conventional order management systems, there are many cases where individual employees directly make payments. In this case, embezzlement of payment funds by employees, overwork at the counter due to indiscriminate management of cash receipt issuance and low-value card payment details, and difficulties in managing sales-related data may occur. In the case of the remote order smart POS system disclosed in this specification, customers can efficiently manage orders by entering orders directly into the server 20 through the IoT terminal 40. Through this, it is possible to systematically and uniformly manage data related to sales made in the business space of restaurant workers. Additionally, by placing the second POS device under the management of the first POS device, it is possible to prevent unpleasant situations such as embezzlement of payment by employees. In addition, by placing the second POS device under the management of the first POS device, it is possible to manage the workload of the employee holding the second POS device and the employee's movement path, which prevents work from being concentrated on a specific employee. This can prevent unnecessary waste of time. In addition, the second POS device can be placed under the management of the first POS device and, if necessary, store management rights, payment rights related to customer payments, etc. can be granted to a specific second POS device. By granting 1st POS device-level authority to some of the 2nd POS devices, employees holding 2nd POS devices that have been granted 1st POS device-level authority can manage the store on behalf of restaurant workers when the restaurant workers are absent. there is. Additionally, in the case of a large store, by having employees with the authority of a restaurant worker, the restaurant worker can efficiently manage the large store with employees with the authority of a restaurant worker. Additionally, the second POS device may transmit the progress of the customer's order information to the server 20 in real time or at predetermined time intervals. Through this, the IoT terminal 40 can receive information about how its order details are progressing from the server 20.

In another embodiment, at least one terminal selected from among the second POS devices receives the customer's order information transmitted by the IoT terminal 40 according to a setting command of the first POS device, and responds to the received order information. We can process corresponding orders and payments. Hereinafter, at least one terminal selected from among the second POS devices that receives the customer's order information according to the setting command of the first POS device and processes the order and payment will be referred to as an intermediate terminal. The intermediate terminal may take over the role of the first POS device when the first POS device breaks down or the first POS device leaves the business space of a restaurant worker. In addition, the intermediate terminal may perform substantially the same role as the first POS device together with the first POS device in order to facilitate the restaurant worker's work convenience when the restaurant worker's business space is wide. Additionally, the intermediate terminal may be assigned the role of the second POS device other than the intermediate terminal according to a setting command of the first POS device. The role may be, for example, distribution of roles to an area in charge of an employee who is the holder of the second POS device. As another example, the role may be role distribution for tasks handled by the employee who is the owner of the second POS device. The tasks handled by the above-mentioned employees may include, for example, production tasks, delivery tasks, cooking tasks, payment tasks, and transportation tasks. The above examples are for understanding purposes only. In addition to the above examples, the intermediate terminal may distribute various tasks to the second POS device within the range of the setting command of the first POS device. In other words, the intermediate terminal may transmit the customer's order information to at least one terminal selected from among the second POS devices excluding the intermediate terminal. Hereinafter, at least one terminal selected from among the second POS devices excluding the intermediate terminal will be referred to as a second processing terminal. The second processing terminal or a restaurant worker at the second processing terminal processes order details according to the customer's order information transmitted by the intermediate terminal. When processing of the order details is completed, the second processing terminal notifies the intermediate terminal of the completion of order processing. In this case, the intermediate terminal notifies at least one terminal selected from among the second POS devices, excluding the intermediate terminal and the second processing terminal, to deliver the completed order result to the customer. You can. Hereinafter, among the second POS devices, at least one terminal selected from among the second POS devices excluding the intermediate terminal and the second processing terminal will be referred to as a second delivery terminal. The second delivery terminal or a restaurant worker at the second delivery terminal may deliver the order result to the customer according to a notification from the intermediate terminal.

Restaurant workers can maximize work efficiency by receiving order information through the IoT terminal 40 and processing the order information and delivering order results through a second POS device with distinct roles. In particular, through the intermediate terminal, restaurant workers can effectively manage work in their absence or in a large business space.

Among the second POS devices, the intermediate terminal is set as the 2-n POS device, the second processing terminal is set as the 2-1 POS device, and the second delivery terminal is set as the 2-2 POS device. In the drawing, as an example, only one intermediate terminal is shown, but it is obvious that there can be a plurality of intermediate terminals depending on the convenience of the restaurant worker. For convenience of explanation below, as shown in the drawing, one 2-n POS device will be used as the intermediate terminal. It is obvious that this description does not limit the scope of rights of the remote ordering smart POS system disclosed in this specification.

The 2-n POS device receives the customer's order information transmitted by the IoT terminal 40 according to the setting command of the first POS device, and can process order processing and payment corresponding to the received order information. . For example, the 2-n POS device may check the customer's order information stored in the server 20 and transmit the order information to the 2-1 POS device. In this case, the customer's order information may be transmitted to the 2-1 POS device through the 2-n POS device. Alternatively, the customer's order information may be transmitted to the 2-1 POS device through the server 20. At this time, the 2-n POS device may issue a command to the 2-1 POS device to process the order details after receiving the customer's order information from the server 20. The 2-1 POS device or an employee holding the 2-1 POS device processes order details according to the order information transmitted by the 2-n POS device. When the processing of the order details is completed, the 2-1 POS device notifies the 2-n POS device that order processing is complete. The 2-n POS device that receives the order processing completion notification may notify the 2-2 POS device to deliver the completed order result to the customer. In this case, information about the order result that has been processed may be transmitted to the 2-2 POS device through the 2-n POS device. Alternatively, information about the order result that has been processed may be transmitted to the 2-2 POS device through the server 20. At this time, the 2-n POS device may receive information about the order result that has been processed from the server 20 to the 2-2 POS device and then issue a command to deliver the completed order result to the customer. . The 2-2 POS device or an employee holding the 2-2 POS device delivers the order result to the customer according to the delivery information transmitted by the 2-n POS device. If the customer's order information must be performed by a plurality of employees, the 2-n POS device may transmit the order information to a second POS device (not shown) other than the 2-1 POS device. Similarly, if the process of delivering the order result must be performed by a plurality of employees, the 2-n POS device may transmit the delivery information to a second POS device (not shown) other than the 2-1 POS device. You can. By distinguishing the roles of the second POS device, the employee who owns the second POS device only has to handle tasks designated by the second-n POS device. Employees authorized by the first POS device can check the tasks assigned to each employee through the second-n POS device, enabling comprehensive management of information such as product sales and order information processing. The restaurant worker then receives information from the 2-n POS device and manages information such as product sales and order information processing in the absence of the restaurant worker or in a space other than the business space handled by the restaurant worker in a large business space. can do. Since the payment process through the 2nd-n POS device is substantially the same as the payment process through the first POS device, detailed description thereof is omitted for convenience of explanation.

Additionally, an embodiment of the present invention may further include the following features.

The method of implementing the system 10 according to an embodiment of the present invention is: When delivery is made from a delivery company, the IoT terminal is delivered together with a delivery order for the companion delivery menu, which is an order menu from another orderer within the set delivery range. Delivery order request process of selecting a possible orderer menu and requesting delivery to the server; The server transmits an order request message to the delivery driver terminal using the companion delivery menu and delivery address requested from the other orderer, the orderer menu and the orderer delivery address requested from the IoT terminal as a single delivery order. order relay process; And a delivery order display process in which the delivery driver terminal receives the order request message and displays the accompanying delivery menu and accompanying delivery address, the orderer menu and the orderer delivery address as a single delivery order, and requesting the delivery order. The process is: a location information registration process of registering the location information of the IoT terminal as the orderer's delivery address to the server; An orderer menu transmission process of receiving an order menu, which is an order menu, from the orderer and transmitting it to the server; A reception waiting process of waiting to receive a list of delivery companies that can deliver the orderer's menu from the server for a set waiting time; When a delivery company capable of delivering the orderer menu is received from the server, a delivery company display process of displaying a list of the received delivery companies; And a customer menu ordering process of selecting a delivery company from the orderer from the list of delivery companies and transmitting it to the server along with the orderer menu. The delivery order relay process includes: the orderer menu transmission process from the IoT terminal to the orderer. When a menu is received, a delivery company search process that searches for whether there is a delivery company that has received an order for a companion delivery menu that allows a single delivery order along with the orderer menu; When a delivery company is searched, a delivery company first list transmission process of transmitting the list of searched delivery companies to the IoT terminal; If the delivery company is not searched, the IoT registers the orderer's menu as a standby candidate, waits for the waiting time to receive orders from other orderers who can deliver along with the orderer's menu, and creates a list of delivery companies that can deliver. Process of transmitting the second list of delivery companies to the terminal; And sending an order request message to the delivery driver terminal by combining the orderer menu and orderer delivery address ordered by the orderer menu ordering process, and the accompanying delivery menu and accompanying delivery address that can be delivered together with the orderer menu as a single delivery order. An order request message transmission process including; wherein the delivery company search process is: a process of searching for a delivery company that has received an order for a companion delivery menu that can be delivered together with the orderer menu among delivery companies within the delivery range, A screen view selection process of displaying a waiting orderer menu ordered by another waiting orderer on the IoT terminal through screen view selection before transmitting the orderer menu after the location information registration process; It may be characterized as further comprising:

When delivery is made by a delivery company, the IoT terminal 40 selects an orderer menu that can be delivered along with a delivery order for the accompanying delivery menu, which is an order menu for other orders within the set delivery range, and sends a delivery request to the server 20. You can proceed.

Additionally, the IoT terminal 40 (and/or the server 20) may register the location information of the IoT terminal 40 as the orderer delivery address in the server 20. For location information registration, the GPS location information of the IoT terminal 40 may be automatically transmitted and registered, or the delivery person may directly input the location information.

In addition, the IoT terminal 40 can receive an order menu, which is an order menu, from the orderer and transmit it to the server 20. The orderer menu is a menu that can be delivered even if it is not the minimum order unit. For example, it is a menu that allows you to partially order food even if it is not a whole chicken, such as half a chicken or two chicken legs. The orderer menu entered in this way is transmitted to the server 20.

After transmission of the orderer menu, the IoT terminal 40 may wait to receive a list of delivery companies that can deliver the orderer menu from the server 20 for a set waiting time. In other words, it waits for the waiting time to receive a list of delivery companies that have received orders for companion delivery menus that can be delivered together with the orderer menu. This waiting time is a time that can be set by the orderer, and may be, for example, 3 minutes, 5 minutes, 10 minutes, 15 minutes, etc. After the reception waiting process, if you do not receive a list of delivery companies that can deliver the orderer's menu during the waiting period, you can cancel or extend the order of the orderer's menu.

On the other hand, when a delivery company that can deliver the orderer's menu is received from the server 20, the IoT terminal 40 can display the list of the received delivery companies.

In the process of displaying delivery companies, delivery companies can be sorted in order of shortest total delivery distance or in order of longest waiting time.

For example, the distance from the first delivery company to delivery to the order delivery address of the first orderer, delivery to the accompanying delivery address, which is the address of the second orderer, and return to the first delivery company is 24 [km]. Also, the distance from departure from the second delivery company to delivery to the order delivery address of the first orderer, delivery to the accompanying delivery address, which is the address of the second orderer, and return to the second delivery company is 20 [km]. In this case, the second delivery company is displayed first at the top and the first delivery company is displayed later.

After the delivery company display process as described above, a delivery company is selected by the orderer from the list of delivery companies and transmitted to the server 20 along with the orderer menu to complete the order of the orderer menu. For example, when a second delivery company is selected by the orderer, the IoT terminal 40 transmits information on the selected delivery company and the orderer menu to the server 20.

Meanwhile, as described above, without the orderer menu transmission process, a list of all orders waiting for a companion orderer can be retrieved in real time, and the orderer can select a desired menu from among them and place an order. Some orderers may be worried about what to eat, and in this case, rather than going through the menu selection process, the purpose is to allow them to see the currently waiting orders and place an order right away if they like it.

To this end, after the location information registration process described above and before the orderer menu transmission process, the IoT terminal 40 may additionally have a separate screen view selection process.

Additionally, the IoT terminal 40 has a process of displaying the waiting orderer menu, which is a matching menu, when the orderer requests to display the waiting orderer menu ordered by another waiting orderer through the screen view selection. In other words, it displays a waiting orderer menu that can be immediately matched among all menus (chicken, pizza, sweet and sour pork, etc.), for example, half a bulgogi pizza, half a sweet and sour pork, half a seasoned chicken, half a fried chicken, etc. The orderer menu is displayed as a matching menu.

In displaying this standby orderer menu, a filter function can be provided so that the user can view only the menus they want to see, such as chicken or chicken fried food.

When the IoT terminal 40 receives from the server a delivery company that can deliver the orderer menu selected by the orderer from among the waiting orderer menus after selecting the desired menu, the IoT terminal 40 displays a list of the received delivery companies. has

The IoT terminal 40 has a customer menu ordering process in which a delivery company is selected by the orderer from a list of delivery companies and is transmitted to the server along with the orderer menu.

On the other hand, when the delivery order request process is completed through the login process, location information registration process, orderer menu transmission process, reception waiting process, delivery company display process, and orderer menu order process described above, the server 20 is sent to the delivery driver terminal ( 70) has a delivery order relay process that relays the order contents.

In the delivery order relay process, the server 20 orders the accompanying delivery menu and accompanying delivery address requested by the other orderer, and the orderer menu and orderer delivery address requested from the IoT terminal 40 as a single delivery order. This is the process of transmitting a request message to the delivery driver terminal 70.

This delivery order relay process may include a delivery company search process, a delivery company first list transmission process, a delivery company second list transmission process, and an order request message transmission process.

The delivery company search process is a process of searching whether there is a delivery company that has received an order for a companion delivery menu that allows a single delivery order along with the orderer menu when the orderer menu is received from the IoT terminal 40 through the orderer menu transmission process. have For example, when the first orderer orders half a soy sauce chicken as a customer menu, a search is performed to see if there is a delivery company with another orderer who also ordered half a soy sauce chicken as a companion delivery menu. This delivery company search process searches for a delivery company that has received an order for a companion delivery menu that can be delivered together with the orderer's menu among delivery companies within the delivery range.

When the first orderer attempts to place an order with delivery company A, the order is matched with the second orderer, another orderer, within the maximum round-trip delivery distance (e.g., 20 [km]) set by the delivery company.

Assuming that when the first orderer and the second orderer are matched, the total round-trip delivery distance is 20 [km], and when the first orderer and the third orderer are matched, the total round-trip delivery distance is 24 [km], the first delivery company When attempting to place an order, you will not be matched with a third orderer who is outside the maximum round-trip delivery distance of 20 [km] set by the first delivery company.

Additionally, when the first orderer attempts to place an order with the first delivery company, he or she attempts to match with other orderers in order of shortest total round-trip delivery distance within the maximum round-trip delivery distance of 20 [km] set by the first delivery company. At this time, delivery available menu matching can be set by the delivery company.

Meanwhile, when a delivery company is found as a search result, a first list of delivery companies is transmitted to the IoT terminal 40.

When an orderer searches for a delivery company with a matching orderer, a list of delivery companies available for real-time matching delivery is created in order of the total possible delivery distance and provided to the IoT terminal 40. This is so that it can be used when quick matching is prioritized over menu selection. For example, a delivery request can be made by matching the first orderer and the second orderer at the first delivery company, and in this case, the total delivery distance is 20 [km], and at the second delivery company, the first orderer and the third orderer are matched. A delivery request can be made, and if the total delivery distance is 18 [km], the second delivery company can be displayed at the top of the screen of the IoT terminal 40.

On the other hand, if the delivery company is not found in the search results, the orderer's menu is registered as a standby candidate and the order of other orderers who can be delivered along with the orderer's menu is placed on standby during the waiting period, and a list of delivery companies that can receive and deliver orders from other orderers is provided. There may be a second list transmission process of delivery companies that transmits to the IoT terminal 40.

For matching, you can wait for orders from other orderers with matching conditions for a preset waiting time (e.g., within 5 minutes). If matching is not possible during the waiting time, you can either place an order without matching or cancel the order. You can set it.

By selecting multiple desired menus when attempting to order, you can easily match each menu with other orderers. This increases the probability of matching for consumers who do not want to eat just one thing on the menu and do not mind eating any of several items, thereby making up for the case where there are no other consumers who want to be matched in real time when ordering, which is a disadvantage of this system. You can.

Additionally, by not selecting the desired menu when attempting to order, it is possible to match with various other orderers who have attempted to order each menu. This increases the probability of matching for consumers who do not want to eat just one thing on the menu and do not mind eating any of several items, thereby making up for the case where there are no other consumers who want to be matched in real time when ordering, which is a disadvantage of this system. You can.

On the other hand, if the list of delivery companies is transmitted as described above, the orderer menu and orderer delivery address ordered through the orderer menu ordering process, and the accompanying delivery menu and accompanying delivery address that can be delivered along with the orderer menu are made into a single delivery order. It has an order request message transmission process for transmitting an order request message to the delivery driver terminal 70.

Therefore, the delivery driver terminal 70 displays the received server 20, allowing the delivery company to deliver the order.

To this end, the delivery driver terminal 70 has a delivery order display process that receives an order request message and displays the companion delivery menu and companion delivery address, the orderer menu, and the orderer delivery address as a single delivery order.

*The delivery driver terminal 70 may have a process of registering the delivery company's location information on the server 20 and a process of registering the delivery company's business advertisement information and menu information.

In addition, the delivery driver terminal 70 has a process of registering information on the delivery area. This is because delivery companies must be able to register areas where they can deliver.

There can be two ways to register a region. The first is to limit it to a specific address based on the address. For example, designate up to Gwanak-gu, Seoul, or Buksu-ri, Gwanak-gu, Seoul, or designate and register addresses from 1 to 300 in Buksu-ri, Gwanak-gu, Seoul. Another method is to register based on the round-trip delivery distance. For example, you can register by specifying 'round-trip 10 [km]'.

Registration settings for these two delivery areas can be set only one or both depending on the company's judgment. For reference, the orderer must belong to a delivery area during the delivery company list transmission process.

Afterwards, when a delivery order request message is received from the server 20, it is determined whether the delivery order is approved, and if approved by the delivery company manager, the delivery order order is printed and delivery is performed. If the delivery order is not approved by the delivery company manager, the reason for non-delivery is selected and transmitted to the server 20, and the server 20 relays this to the IoT terminal 40.

2. Operation of a device according to an embodiment of the present invention

Below, an embodiment of the present invention will be described in more detail based on the above technical idea. An embodiment of the present invention described below may be combined in whole or in part to form another embodiment of the present invention, unless mutually exclusive, and this will be clearly understood by those skilled in the art. It can be understood.

The contents of Section 1 described above may be applied to an embodiment of the present invention described below. For example, operations, functions, terms, etc. that are not defined in an embodiment of the present invention described below may be performed and explained based on the contents of Section 1.

Unless specifically stated otherwise, in the description of an embodiment of the present invention, A/B/C may mean A and/or B and/or C.

Unless specifically stated otherwise, in the description of an embodiment of the present invention, greater than/above A may be replaced with greater than/above A.

Unless specifically stated otherwise, in the description of an embodiment of the present invention, less than/less than B may be replaced with less than/less than B.

Unless specifically stated otherwise, in the description of an embodiment of the present invention, the menu refers to items that are sold/provided and/or can be sold/provided at a store where the method for providing an ordering service according to an embodiment of the present invention is implemented. and/or services. For example, in the case of a coffee shop, the menu may include one or more of the beverages (e.g., Americano, cafe latte, espresso, cold brew, ade, herbal tea, etc.) and/or other desserts served at the coffee shop. there is. For example, in the case of a restaurant, one or more types of food sold/offered at the restaurant may be a menu.

Unless specifically stated otherwise, in the description of an embodiment of the present invention, a store includes a store and/or an affiliated store subscribed to a service and/or service platform related to a method for providing an ordering service according to an embodiment of the present invention. can do. For example, an IoT terminal 40 may be installed/furnished in a store, but an embodiment of the present invention is not limited thereto, and services and/or services related to a method of providing an order service according to an embodiment of the present invention Any store that has subscribed to the platform and receives service requests/order requests, etc. from an external IoT terminal 40 may be included.

Below, an IoT terminal and an IoT (internet of things) device installed in a store according to an implementation example of the IoT terminal 40 according to an embodiment of the present invention are described, but other devices that perform similar functions are also described. It can be a terminal.

Below, a server according to an implementation example of the server 20 according to an embodiment of the present invention will be described, but other devices that perform similar functions may also be servers.

For example, the terminal/server may include a personal digital assistant (PDA), a cellular phone, a personal communication service (PCS) phone, a Global System for Mobile (GSM) phone, a wideband CDMA (WCDMA) phone, It may be an MBS (Mobile Broadband System) phone, a smart phone, or a multi-mode multi-band (MM-MB: Multi Mode-Multi Band) terminal. Alternatively, the terminal/server may be a PC, laptop PC, hand-held PC, tablet PC, ultrabook, slate PC, digital broadcasting terminal, or PMP (portable multimedia player). ), navigation, wearable devices (e.g., watch type terminal (smartwatch), glass type terminal (smart glass), HMD (head mounted display), etc. For example, a drone is a wireless device without a person riding it. It may be an aircraft that flies by control signals. For example, an HMD may be a display device worn on the head. For example, an HMD may be used to implement VR or AR.

Unless specifically stated otherwise, in the description of an embodiment of the present invention below, the information used by the device/information output/displayed by the device, etc. is information directly identified/obtained by the device, or information stored in a database included in the device. It may be information, or it may be one or more pieces of information received from a server and/or other external devices.

2.1. Service provision behavior

In the following description, an embodiment of the present invention has been described on the premise that the server 20, which has obtained service request information from the IoT terminal 40, performs an operation related to a response to the service request information. However, the scope of the present invention According to an embodiment, the IoT terminal 40 that obtains service request information from the server 20 may perform an operation related to a response to the service request information. Alternatively, according to an embodiment of the present invention, each of the server 20 and/or the IoT terminal 40 directly obtains service request information (e.g., input directly from the user), and provides information about the service request information. You can also perform actions related to the response. Alternatively, according to an embodiment of the present invention, a plurality of IoT terminals 40 and/or a plurality of servers 20 are provided, and a plurality of IoT terminals 40 and/or a plurality of servers 20 are provided. Operations related to transmitting and receiving service request information and responding to service request information may be distributed to each operation and performed separately.

Figure 3 is a configuration diagram of an IoT robot according to an embodiment of the present invention, and Figure 4 is a diagram showing a method of measuring the surface tilt of an object stored in a storage unit through an infrared sensor unit according to an embodiment of the present invention. .

The IoT robot 50 according to an embodiment of the present invention includes a communication unit 310 for communicating with an external device, a driving unit 320 for moving the position of the IoT robot 50, food cooked in the kitchen (and/or a storage unit 330 capable of storing (tableware, other items), an infrared sensor unit 340 provided on the upper side of the storage unit 330, a memory 350 for storing one or more instructions, and the at least one It may include a processor 360 that controls the IoT robot 50 by executing instructions. The storage unit 330 may store objects to be transported (eg, containers containing food, cooked food, and other tableware).

Meanwhile, the IoT robot 50 described in the present invention includes a weight sensor (not shown) that detects the weight of the cooked food and the container containing the food, and/or an alarm unit (not shown) that generates an alarm with light or sound. More may be included. The weight sensor may be interpolated (and/or installed) in the lower part of the storage unit 330. Additionally, the weight sensor may correspond to a piezoelectric sensor. At this time, the piezoelectric sensor may include a device that converts and measures changes in pressure, acceleration, temperature, strain, and/or force into electric charges using the piezoelectric effect. However, it is not limited to this and various sensors that can measure weight can be used as weight sensors.

The weight sensor of the IoT robot 50 can detect the weight of the object placed inside the storage unit 330. When an object is stored inside the storage unit 330, the weight sensor can measure a physical quantity (eg, weight) by converting applied pressure, force, etc. into an electrical signal. Here, the method of storing the object can be accomplished by having an employee present in the store place the object into the storage unit 330 of the IoT robot 50.

The weight sensor (not shown) of the IoT robot 50 can detect the weight of the object and transmit a signal for storing the object to the processor 360. For example, the storage signal of the object may include weight information of the object (eg, 500g of food, 800g of bowl) and information about the food included in the object. At this time, the object may be food, tableware, or other items.

The processor 360 of the IoT robot 50 may receive customer order information from the server 20. Customer order information may include the food ordered by the customer, the time the customer requested the order, the table number and location where the customer is seated, and the number of customers. Here, the table number may be a predetermined number assigned to each of a plurality of tables in the store based on the table arrangement of the store.

Referring to FIG. 4, the processor 360 may transmit an infrared light emission signal to the infrared sensor unit 340. When the infrared sensor unit 340 receives an infrared light emitting signal, it may emit infrared light toward the object through the infrared light emitting unit (step S005).

Looking at (a) of FIG. 4, the infrared light emitting unit may emit infrared light in parallel at regular intervals. In addition, the time at which the infrared light-emitting signal is received may correspond to the time before the IoT robot 50 stores and moves the object.

The infrared light receiving unit included in the infrared sensor unit 340 may detect reflected infrared light emitted from the infrared light emitting unit and reflected from an object.

The infrared sensor unit 340 may measure the distance from the infrared sensor to a plurality of points on the surface of food included in the object. A plurality of points may refer to a plurality of points located on the surface of the food. For example, the infrared sensor unit 340 emits infrared rays at 100 points located on the surface of the food, detects the reflected infrared rays, and determines the distance from the infrared sensor unit 340 to the corresponding point for each 100 points. can be calculated for each point. The plurality of points from which the infrared sensor unit 340 measures the distance may correspond to 100 points, but the number of points is not limited to this.

The processor 360 may determine whether the food stored in the storage unit 330 includes soup based on customer order information. For example, if it is judged to be a soup-type food that contains soup, the food ordered by the customer is 'Gopchang hotpot', 'Budae stew', 'Seafood ramen', 'rice noodles', 'kimchi stew', and This may be the case for ‘soybean paste stew’, etc. Additionally, in cases where it is judged to be a non-soup food, the food ordered by the customer may be 'tofu kimchi', 'cream risotto', 'pad thai', 'bibimbap', etc.

The infrared sensor unit 340 may transmit distance information to the processor 360. Distance information may include a distance calculated for each of a plurality of points.

If the food contained in the object is determined to be a soup-type food, the processor 360 may calculate the surface slope of the object in real time. The processor 360 may calculate the surface slope of the object based on the distance information received from the infrared sensor unit 340. The method of calculating the surface slope of an object will be explained in detail with reference to FIG. 4, which will be described later.

If the food included in the object is determined to be non-soup type food, the processor 360 may calculate the dispersion degree of the object in real time. For example, when food is placed in a flat bowl, the dispersion of the food before the IoT robot 50 moves is calculated by detecting infrared rays through the infrared sensor unit 340, and the IoT robot 50 moves. After starting, you can calculate the dispersion of food in real time. When calculating the dispersion of food, the infrared sensor unit 340 measures the distance to a plurality of points located within a preset radius distance from the center of the object, and based on the distance to the measured plurality of points, the infrared sensor unit 340 measures the distance of the food. The degree of dispersion can be calculated.

The processor 360 may adjust the moving speed of the driving unit 320 based on the surface inclination of the object or the degree of dispersion of the food. Specifically, when the food included in the object is soup, the processor 360 may control the movement speed of the IoT robot 50 based on the surface inclination of the food. If the food included in the object is a non-soup product, the processor 360 may control the movement speed of the IoT robot 50 based on the degree of dispersion of the food.

Through this, the IoT robot 50 of the present invention can provide soup and/or non-soup food to customers without spilling it out of the container. Through this process, customers' satisfaction with food and quality of service can be improved, and restaurant sales can be increased.

Referring to FIG. 4, when an object is stored inside the storage unit 330 of the IoT robot 50, we will look in detail at a method of calculating the tilt of the food contained in the object. Here, the object may include soup-type food.

Figure 4(a) shows the appearance of the object before the IoT robot 50 moves. The infrared sensor unit 340 may receive an infrared light emitting signal from the processor 360 (S004) and emit infrared light toward an object (S005). As shown in (a) of FIG. 4, since the IoT robot 50 is before moving, the surface slope of the food included in the object may converge to 0.

At this time, the method by which the infrared sensor unit 340 calculates the surface slope of the food is that the infrared sensor unit 340 emits luminous infrared rays toward a plurality of points, detects reflected infrared rays, and moves from the infrared sensor to a plurality of points. The distance can be measured. Here, the plurality of points may correspond to portions of the surface of the food in contact with the bowl. The processor 360 may specify the closest point and the farthest point from the infrared sensor unit 340 among the distances measured for each of the plurality of points. The nearest point may correspond to the point where the surface of the food is highest. Additionally, the furthest point may correspond to the point at which the height of the food surface is lowest.

As another example, the infrared sensor unit 340 may include a plurality of infrared light emitting units (not shown) for measuring the height of a plurality of food surfaces. Each of the plurality of infrared light emitting units may be installed at the upper end of the storage unit 330 at a position and direction to emit infrared rays in a vertical downward direction. By collecting signals reflected by infrared rays emitted vertically downward using each of the plurality of infrared light emitting units, the infrared sensor unit 340 measures the height of the food surface located below the plurality of infrared light emitting units. You will be able to. Through this, the infrared sensor unit 340 can calculate (and/or obtain) a plurality of food surface heights measured through each of the plurality of infrared light emitting units.

The processor 360 may determine whether the food stored in the storage unit 330 is a soup category or a non-soup category by considering the surface heights of the plurality of foods. As an example, the processor 360 may identify the highest food surface height and the lowest food surface height among the plurality of food surface heights, including the highest food surface height (e.g., the height of the highest food point B). ) and the lowest food surface height (e.g., the height of the lowest point (C)), the slope of the surface of the food stored in the storage unit 330 (i.e., the food surface) can be calculated. For example, if the inclination of the food surface exceeds the preset food surface inclination standard, the processor 360 determines that the food stored in the storage unit 330 is a non-soup food, and the inclination of the food surface exceeds the preset food surface inclination standard. If the slope of the food surface is less than the standard, the food stored in the storage unit 330 can be judged to be soup.

In addition, when information indicating whether the food stored in the storage unit 330 is soup or non-soup is input to the server 20 and/or IoT robot 50, the information and the processor 360 When the matching rate becomes lower than a predetermined threshold rate, the preset food surface slope standard may be reset, or a message requesting resetting the preset food surface slope standard may be delivered to the server 20.

Next, the processor 360 uses the central point (A) of the food surface before the IoT robot 50 moves as a reference, the highest point (B) of the food identified through the infrared sensor unit 340, and The slope when the point with the lowest height (C) is connected with a straight line in two dimensions is calculated, and the slope can be recognized as the slope of the food surface.

The processor 360 can receive distance information about a plurality of points in real time from the infrared sensor unit 340, and calculate the slope of the surface of the food included in the object in real time based on the received distance information.

Figure 4(b) shows the object when the IoT robot 50 is accelerating and moving (toward the right). In one embodiment, the processor 360 may reduce the moving speed of the driving unit 320 when the surface slope of the food exceeds a preset reference value.

Specifically, as shown in (b) of FIG. 4, the surface of the food is tilted downward to the right, so the processor 360 interprets the surface slope of the food as having a negative slope. can do. At this time, if the analyzed slope of the surface of the food corresponds to a preset standard value or less, the processor 360 may control the moving speed of the driving unit 320 so that the slope of the surface of the food corresponds to the preset first slope. . The processor 360 uses the movement speed of the driving unit 320 to determine the slope of the surface of the food (for example, -30), the previously stored weight of the IoT robot 50, the weight of the object measured through the weight sensor, and the current It can be determined based on the movement speed and acceleration of the IoT robot 50.

Conversely, as shown in (c) of FIG. 4, when the slope of the surface of the food is interpreted as a positive slope, the processor 360 determines the moving speed of the driving unit 320 based on the slope of the surface of the food. The moving speed of the driving unit 320 may be increased to reach the set second slope. The processor 360 determines the movement speed of the driving unit 320 by calculating the slope of the surface of the food (e.g., +45), the previously stored weight of the IoT robot 50, the weight of the object measured through the weight sensor, and the current It can be determined based on the movement speed and acceleration of the IoT robot 50. The present invention accurately controls the speed of the IoT robot 50 and reduces sudden speed changes by controlling the movement speed based on the inclination of the food surface. In addition, the contents of the food contained in the object can be quickly delivered to the customer without spilling it on the tray, and the customer's service satisfaction can be improved.

Figure 5 is a diagram showing an example of a method of operating an IoT terminal and a server according to an embodiment of the present invention.

Figure 6 is a diagram showing an example of a method of operating an IoT terminal according to an embodiment of the present invention.

Figure 7 is a diagram showing an example of a server operation method according to an embodiment of the present invention.

Referring to Figures 5 to 7, in operations S301, S401, and S501 according to an embodiment of the present invention, the IoT terminal may transmit service request information, and the server may receive it.

According to an embodiment of the present invention, a service request may be information requesting provision of a service/menu through a service provision platform according to an embodiment of the present invention. According to one embodiment of the present invention, a service request may be generated based on a user's touch input on a user input interface of an IoT terminal. However, the user's input method according to an embodiment of the present invention is not limited to touch input, and any input method that can be obtained from the input/output unit described in FIG. 2 can be applied.

According to one embodiment of the present invention, the service request may include a customer ID (identifier) (or user ID). According to an embodiment of the present invention, the customer ID may be identification information for an IoT terminal and/or a user/customer using the IoT terminal and/or a user/customer subscribed to a service provision platform operated by a server. According to one embodiment of the present invention, different customer ID information may be assigned to each IoT terminal and/or each user/customer using the IoT terminal and/or a user/customer subscribed to a service provision platform operated by the server. . According to an embodiment of the present invention, customer ID information is understood as information requesting that an IoT terminal provide a service/menu to a server through a service provision platform and/or provide a service/menu through a service provision platform. Information that corresponds to information requested to be provided and/or is included in information requesting provision of a service/menu through a service provision platform and/or information requesting provision of a service/menu through a service provision platform It may be transmitted in addition to and/or separately.

According to one embodiment of the present invention, the service request may include a store ID. According to one embodiment of the present invention, the store ID is an identification for identifying the store where the user requested to provide a menu based on the user's touch input on the user input interface of the IoT terminal and/or where the IoT terminal is installed/equipped. It could be information. According to one embodiment of the present invention, different store ID information may be assigned to each store subscribed to the service providing platform operated by the server. According to an embodiment of the present invention, store ID information is understood as information requesting that the IoT terminal provide a service/menu to the server through a service provision platform and/or provide a service/menu through a service provision platform. Information that corresponds to information requested to be provided and/or is included in information requesting provision of a service/menu through a service provision platform and/or information requesting provision of a service/menu through a service provision platform It may be transmitted in addition to and/or separately.

In operation 503 according to an embodiment of the present invention, the server may obtain a recommended menu list. According to one embodiment of the present invention, the server may input input information including customer information and store information into a recommendation model and obtain a recommended menu list based on the output information of the recommendation model.

According to one embodiment of the present invention, the customer information may be information about the customer corresponding to the customer ID. According to an embodiment of the present invention, different customer ID information may be given to each IoT terminal and/or user/customer using the IoT terminal and/or user/customer subscribed to the service provision platform operated by the server. According to an embodiment of the present invention, customer information corresponding to each user/customer subscribed to the service provision platform operated by the IoT terminal and/or the user/customer using the IoT terminal and/or the server is classified and stored by customer ID. It can be done, and customer information can be searched/obtained based on customer ID. For example, customer information corresponding to the customer ID included in the service request information may be obtained. For example, customer information may include profile information including the customer's date of birth, gender, email, mobile phone, and address, and information about the customer's preferred menu obtained based on the customer's service request history.

According to an embodiment of the present invention, the store information may be information about the store corresponding to the store ID included in the service request information. According to one embodiment of the present invention, different store ID information may be assigned to each store subscribed to the service providing platform operated by the server. According to one embodiment of the present invention, store information corresponding to each store subscribed to a service provision platform operated by a server can be classified and stored by store ID, and store information can be searched/obtained based on the store ID. . For example, store information corresponding to the store ID included in the service request information may be obtained. For example, store information is information about popular menus in the store obtained based on the plurality of menus available in the store, the address of the store, reviews about the store, and the order history of each of the plurality of menus available in the store. may include, and (in the case of a manned store) may further include information about the evaluation of employees/employees.

According to one embodiment of the present invention, customer information and store information can be obtained based on a database. According to one embodiment of the present invention, customer information for each of a plurality of customers may be classified and stored according to a plurality of customer IDs to identify each of the plurality of customers. According to one embodiment of the present invention, store information for each of a plurality of stores may be classified and stored according to a plurality of store IDs for identifying each of the plurality of stores.

According to one embodiment of the present invention, the server may obtain customer information corresponding to the customer ID based on searching the database according to the customer ID, which is identification information of the customer requesting the service, included in the service request information. . According to one embodiment of the present invention, the server obtains store information corresponding to the store ID based on a search in the database according to the store ID, which is identification information of the store for which service is requested, included in the service request information. can do.

According to an embodiment of the present invention, the input information may further include other information in addition to customer information and store information. For example, other information may include the time zone in which the service request information was received (e.g., the number of time zones that include the point in time at which the service request information was received among a plurality of time zones in which a certain total time section is divided into a certain time size. (For example, it may be (but is not limited to) morning/afternoon/evening. For example, it may be used to identify popular menus corresponding to that time period), when service request information is received, and/or service Weather and/or expected weather (e.g., the average time required for the menu to be provided from the time the service request information is received plus the average time required to provide the menu) based on the time the request information is received. For example, clear, cloudy, rain, showers, lightning, snow, hail, etc. For example, it may be used to identify popular menus corresponding to the weather and/or expected weather).

According to an embodiment of the present invention, the server transforms (e.g., matrix transforms) input information including one or more of customer information, store information, or other information so that it can be input to the recommendation model, and the recommendation model inputs it, Based on the output, a recommended menu list can be obtained.

According to an embodiment of the present invention, as input information is input to the recommendation model, one or more first attribute values related to the estimated preference of the customer corresponding to the customer ID included in the service request information among the plurality of customers may be obtained. there is.

According to one embodiment of the present invention, the customer's estimated preference and/or one or more first attribute values related to the customer's estimated preference are stored in a plurality of stores including a store corresponding to the store ID included in the service request information (e.g. For example, among all stores operated/controlled by the server and/or among all stores operated/controlled by the server, stores of the same type as the store corresponding to the store ID (e.g., stores corresponding to the store ID In the case of this restaurant, the restaurant may be selected among all stores operated/controlled by the server. As another example, the store corresponding to the store ID is a specific type of restaurant (e.g., Korean restaurant, Japanese restaurant, Chinese restaurant). (restaurant, Indian restaurant, snack bar, fast food restaurant, izakaya, wine bar, franchise family restaurant, etc.), the same specific type of restaurant may be selected) and/or on the service platform according to an embodiment of the present invention. Multiple stores provided by all registered stores/all stores and/or all stores/all stores registered to the service platform according to an embodiment of the present invention, stores of the same type as the store corresponding to the store ID) Can be assigned to each of the menus.

According to one embodiment of the present invention, one or more second attribute values may be obtained for each of a plurality of menus that can be provided at a store corresponding to a store ID included in the service request information among the plurality of stores.

According to one embodiment of the present invention, the recommended menu list may be obtained based on a comparison result between one or more first attribute values and one or more second attribute values. According to an embodiment of the present invention, the recommended menu list is based on a comparison result between one or more first attribute values and one or more second attribute values, and stores corresponding to the store ID included in the service request information among a plurality of stores. It may include one or more menus selected from a plurality of menus available in .

According to an embodiment of the present invention, a comparison result between one or more first attribute values and one or more second attribute values may be obtained based on a similarity score. According to one embodiment of the present invention, the similarity score is an integer/float value of 0 or more, and can be understood as an evaluation score/evaluation value indicating the level of similarity between one or more first attribute values and one or more second attribute values. You can. For example, similarity can be understood as high (or low) depending on the ascending (and/or descending) order of similarity scores. For example, if the similarity score is 0, it can be understood as having the highest (or lowest) similarity. For example, the similarity score may be obtained based on the difference between one or more first attribute values and one or more second attribute values. For example, the difference between one or more first attribute values and one or more second attribute values can be a similarity score. As another example, the similarity score may be determined based on a difference value and a weight value between one or more first attribute values and one or more second attribute values. For example, a difference value between one or more first attribute values and one or more second attribute values multiplied (or divided) and/or added (or subtracted) by a weight value may be a similarity score. For example, a weight value may be obtained for each of one or more second attribute values and may be obtained based on one or more of the information included in the above-described other information.

As described above, according to an embodiment of the present invention, one or more first attribute values are assigned to a plurality of menus that can be provided by a plurality of stores including a store corresponding to the store ID included in the service request information. On the other hand, since one or more second attribute values are assigned to a plurality of menus that can be provided in a store corresponding to the store ID included in the service request information, at least some of the values included in the one or more first attribute values There may be cases where the menu corresponding to the value is not provided at the store corresponding to the store ID included in the service request information.

According to an embodiment of the present invention, if a value that matches the first value among one or more first attribute values (corresponding to the case with the highest degree of similarity) is included in one or more second attribute values, the value corresponding to the first value This may be the case when the menu is provided at the store. According to an embodiment of the present invention, in this case, the recommended menu list may include a menu corresponding to the first value. According to one embodiment of the present invention, in this case, the recommended menu list is similar to the first value of one or more second attribute values (e.g., has a similarity score above or below a certain threshold) even if it does not match the first value. (if present) the menu corresponding to the value may be included in the recommended menu list.

According to one embodiment of the present invention, if a value matching the second value among one or more first attribute values is not included in the one or more second attribute values, the menu corresponding to the second value is not provided in the store. You can. According to an embodiment of the present invention, in this case, a menu to be included in the recommended menu list may be determined based on the similarity score for each of the second value and one or more second attribute values. For example, if similarity is understood to be high in ascending order of similarity scores, a menu corresponding to the value corresponding to the lowest similarity score among the values included in one or more second attribute values may be included in the recommended menu list. . For example, if the similarity score is understood to be high in descending order of similarity scores, a menu corresponding to the value corresponding to the highest similarity score among the values included in one or more second attribute values may be included in the recommended menu list. there is. For example, if there are a plurality of values with the same similarity score among the values included in one or more second attribute values, all menus corresponding to the plurality of values are included in the recommended menu list and/or are randomly selected among the plurality of values. A menu corresponding to one selected value may be included in the recommended menu list.

According to an embodiment of the present invention, the property value including one or more first property values and one or more second property values is an property value table defined by the property of the menu and the level of the property of the menu. Can be acquired/assigned based on (table). According to one embodiment of the present invention, a plurality of attribute value tables corresponding to the types of a plurality of stores including the store corresponding to the store ID and/or the types of a plurality of menus that can be provided by the plurality of stores are defined/set in advance. /can be arranged. According to an embodiment of the present invention, a separate attribute value table may be defined/set/prepared depending on the type of menu property.

For example, for an attribute value table for a restaurant, the type of food and/or the type of restaurant (e.g., Korean restaurant, Japanese restaurant, Chinese restaurant, Indian restaurant, snack bar, fast food restaurant, izakaya, wine) The nature of the menu (may include sub-items such as bars, franchise family restaurants, etc.), specific tastes (e.g., may include sub-items such as sweet, salty, spicy, bitter, astringent, umami, etc.) and/or the type of menu nature). For example, the degree value for preference/consistency for each type of food and/or type of restaurant and/or preference/consistency for a specific taste may correspond to the degree of the nature of the menu. For example, the degree of a menu characteristic may be expressed as an integer/float value greater than or equal to 0, and may be interpreted as a higher preference in ascending order, but may not be limited thereto.

An example of an attribute value table according to an embodiment of the present invention may be as shown in Table 1.

Referring to Table 1, according to an embodiment of the present invention, XX1 may be an attribute value table ID given/assigned to the attribute value table to classify/distinguish/identify the attribute value table. According to one embodiment of the present invention, the attribute value table can be separately defined/set/prepared according to the type of menu nature, and can be identified based on the attribute value table ID. According to one embodiment of the present invention, a plurality of attribute value tables may be stored in a database and may be selected based on a search according to an attribute value table ID.

According to one embodiment of the present invention, A, B, C, etc. may be sub-items related to the properties of each menu. According to one embodiment of the present invention, 0, 1, 2, etc. may indicate preference/concordance for each A, B, and C. For example, the maximum preference value may be commonly defined for each sub-item and/or a different maximum value may be defined for each sub-item. For example, the maximum value of preference/consistency corresponding to A may be 4, the maximum value of preference/consistency corresponding to B may be 4, and the maximum value of preference/consistency corresponding to C may be 2.

According to one embodiment of the present invention, the attribute value table can be used to assign/interpret attribute values. For example, if a specific menu corresponds to a level of property A of 2, a level of property B of 3, and a level of property C of 1, then the specific menu will have A2B3C1 (and/or the bit value corresponding to A2B3C1). Can be assigned a value. As another example, if A2B3C1 is assigned to a specific menu, the specific menu can be interpreted as corresponding to a level of property A of 2, a level of property B of 3, and a level of property C of 1.

In operation 505 according to an embodiment of the present invention, the server may transmit information related to the recommended menu list, and the IoT terminal may receive it. According to an embodiment of the present invention, the recommended menu list may include visual/auditory information that can be output from the output unit of the IoT terminal. For example, when the recommended menu list includes visual information, the server may determine the display location and/or display time at which the recommended menu list will be displayed on the display unit included in the output unit of the IoT terminal. For example, to determine the display location, a preset/defined template may be used. For example, the preset/defined template predetermines the position on the screen displayed on the display unit of each piece of information included in the visual information for service provision in the store, including visual information corresponding to the recommended menu list. It may be. As another example, the location on the screen displayed on the display unit of each piece of information included in the visual information for service provision in the store, including visual information corresponding to the recommended menu list, is determined by the application running on the IoT terminal. ) may be determined by . For example, the application can determine each location of visual information for service provision in a store provided from the server using a preset/saved template.

According to an embodiment of the present invention, the IoT terminal may transmit information requesting a menu included in the recommended menu list, and in this case, the server may perform an operation to provide the requested menu.

According to one embodiment of the present invention, the IoT terminal may include not only a recommended menu list, but also a list of all menus (recommended menu list) that can be provided from the store corresponding to the store ID, and the menus included in the recommended menu list are other may be displayed prior to and/or highlighted over the menu). According to one embodiment of the present invention, the IoT terminal may transmit information requesting a menu that is not included in the recommended menu list, and in this case, the server may perform an operation to provide the requested menu. In addition, according to an embodiment of the present invention, the server determines that the recommended menu list obtained/generated from the recommendation model is inaccurate, and provides information requesting menus not included in the recommended menu list to increase the accuracy of the recommendation model. You can obtain/generate feedback information about the recommendation model from and use this to feedback/update the recommendation model.

According to one embodiment of the present invention, the server may obtain feedback information about the recommended menu list using other methods. For example, feedback information may be collected in the form of likes (likes, dislikes, etc.) or comments on a recommended menu list, or may be obtained by distributing a survey to customers and collecting response results to the survey. In addition, for example, the server determines that the recommended media content list obtained/generated from the media content recommendation model is inaccurate, and requests media content not included in the recommended media content list to increase the accuracy of the media content recommendation model. Feedback information for the media content recommendation model can be obtained/generated from the information and used to feedback/update the media content recommendation model. According to one embodiment of the present invention, the server can update the recommendation model using feedback information.

According to one embodiment of the present invention, the server can remove noise included in feedback information. For example, the feedback information may include various contents (for example, comments or chatter, etc.) rather than an evaluation of the recommended menu list itself. Accordingly, the server can remove such noises from feedback information and obtain only feedback that includes evaluation information about the recommended menu list itself.

Figure 8 is a diagram showing an example of a system configuration for operating a service platform according to an embodiment of the present invention. Figure 8 can be understood as a diagram showing an example of implementation of an IoT-based serving system according to an embodiment of the present invention.

Referring to FIG. 8, a system operating a service platform according to an embodiment of the present invention may include one or more of a server, IoT terminal, POS, IoT robot, IoT device, and/or middleware.

In FIG. 8, the IoT terminal and IoT device are shown separately, but this is an example and the IoT terminal may be included in the IoT device.

In Figure 8, one server, IoT terminal, POS (POS device), IoT robot, IoT device, and middleware are each shown, but this is an example and multiple servers, multiple IoT terminals, multiple POSs, and multiple middleware are shown. IoT robots, multiple IoT devices, and/or multiple middleware may be included in the system. For example, each of one or more servers may be distinguished by being assigned a different server ID. For example, each of one or more devices may be distinguished by being assigned a different IoT terminal ID. For example, each of one or more POS may be distinguished by being assigned a different POS ID. For example, each of one or more IoT robots may be distinguished by being assigned a different IoT robot ID. For example, each of one or more middleware may be distinguished by being assigned a different middleware ID. For example, each ID can be transmitted and received through wired and wireless communication between each device included in the system (including communication via a server in addition to direct communication between each device).

According to an embodiment of the present invention, servers, IoT terminals, POS, IoT robots, IoT devices, and/or middleware may be installed/provided/included within a specific store, or at least some of them may be installed/provided/included outside the store. For example, a server may be installed outside a specific store, and other devices may be included inside a specific store.

According to one embodiment of the present invention, the server is configured to support other devices included in the system that operates the service platform (e.g., one or more IoT terminals, one or more POS, one or more IoT robots, one or more IoT devices, and one or more middleware ) to communicate with other devices and/or control other devices (e.g., the server may transmit control information that controls/commands specific operations to other devices). You can. According to one embodiment of the present invention, the server may be a plurality of servers that perform different functions and communicate wired and wirelessly with each other, or may be one server including a plurality of modules that perform different functions. For example, the plurality of servers may include a DB (database) server, REDIS (Remote Dictionary Server), and MQ (Message Queue) server. For example, the DB server can perform data collection and analysis, obtain/operate recommendation models, etc. For example, REDIS can exchange information with IoT terminals and operate API (Application Programming Interface) (e.g., generate/deliver information for applications running on IoT terminals). For example, REDIS and/or MQ servers can operate/control other devices included in the system. As a counter example, the operation/role of each server can be understood as the operation of modules included in one server. For example, each module may be a plurality of processors included in the server and/or may be a plurality of software running on one processor included in the server.

(1) According to an embodiment of the present invention, the server can receive service request information from the IoT terminal. According to an embodiment of the present invention, the service request information may include one or more of a customer ID, a store ID, and/or an IoT terminal ID of the IoT terminal transmitting the service request information.

(2) According to an embodiment of the present invention, the server provides a recommendation obtained after inputting input information including customer information about the customer corresponding to the customer ID and store information about the store corresponding to the store ID into the recommendation model. A recommended menu list can be obtained based on the output information of the model. According to one embodiment of the present invention, the server may transmit information related to the recommended menu list to the IoT terminal that transmitted the service request information.

(3) According to an embodiment of the present invention, the server may receive request information for one or more menus from the menus available in the store, including menus included in the recommended menu list, from the IoT terminal.

(4) According to one embodiment of the present invention, the server (control module included in) controls one or more of the other devices included in the system to perform operations that provide services related to providing one or more menus. can do. For example, the server generates commands to control one or more of the other devices included in the system to perform operations that provide services related to providing one or more menus, and sends commands to one or more of the other devices. Can be sent/delivered. According to an embodiment of the present invention, a device that has received a command can perform an operation to provide a corresponding service.

According to an embodiment of the present invention, the IoT terminal may be installed/furnished to be detachable at a certain location within the store (for example, each table within the store, etc.). According to an embodiment of the present invention, an IoT terminal may provide a user interface for providing services to customers based on information provided from a pre-installed application and/or server.

Figure 9 is a diagram showing an example of a user interface provided through an IoT terminal according to an embodiment of the present invention.

In Figure 9, a user interface based on the Korean language is illustrated, but according to an embodiment of the present invention, a user interface based on multiple languages (English, Japanese, Chinese, Arabic, Spanish, Italian, etc.) may be provided, and a user interface for language switching may be provided. Icons may be displayed in one or more of the first to fourth areas 701 to 707 of the display unit.

Referring to FIG. 9, according to an embodiment of the present invention, an IoT terminal can provide a user interface based on visual information through a display unit. However, an embodiment of the present invention is not limited to this, and a user interface based on auditory information may be provided. For example, an IoT terminal can acquire input information according to a user's touch input, but the user's input method according to an embodiment of the present invention is not limited to touch input, and the input/output method described in FIG. 2 Any input method that can be obtained from the department can be applied.

According to one embodiment of the present invention, a symbol, text, video, image, or other visual information representing a 'main item' may be displayed in the first area 701 of the display unit. For example, the characters 'Main Menu', 'Add Sari', and 'Gonggilbap' may be displayed in the first area 701 of the display unit, and for the selected 'Main Menu' item, corresponding visual information and/or The background containing visual information may be highlighted, such as by highlighting it in a different color. Highlighting the selected item may apply generally to one embodiment of the present invention.

According to an embodiment of the present invention, the first area 701 of the display unit includes an icon for moving to another item and/or a number of a table where the IoT terminal is installed/prepared (which may correspond to the ID of the IoT terminal). can be displayed.

According to one embodiment of the present invention, the second area 703 of the display unit contains a symbol, text, video, image, or other visual information indicating a 'sub item' included in a selected item among the items displayed in the 'main item'. This may be displayed. For example, the characters 'main snack', 'special snack', 'basic snack', '1,000 won for main order', 'alcohol', and 'drink', which are sub-items included in the selected 'main menu', may be displayed. In addition, the selected 'main snack' item may be highlighted by highlighting the corresponding visual information and/or the background containing the visual information in a different color, etc.

According to one embodiment of the present invention, a menu included in the selected sub-item may be displayed in the third area 705 of the display unit. According to one embodiment of the present invention, the menu displayed in the third area 705 corresponds to each menu's photo, configuration example, name, price, and, in the case of a popular menu, highlighting such as 'Best' and 'Hit'. It may be based on symbols, text, videos, images or other visual information. According to one embodiment of the present invention, information about menus displayed in the third area 705 may be based on information related to a recommended menu list transmitted from the server. For example, menus included in the recommended menu list may be displayed separately and/or given a separate highlight and/or arranged preferentially from the upper left corner of the third area 705.

According to one embodiment of the present invention, an advertising message may be displayed in at least a portion of the third area 705 of the display unit where a menu included in the selected sub-item will be displayed. For example, the location of the area for displaying the menu included in the sub-item may be determined based on the above-described template, and the area for displaying the menu corresponding to the location of at least some of the areas is where the advertising message is displayed. can be replaced

According to one embodiment of the present invention, an advertising message may include symbols, characters, videos, images, or other visual information (the letter 'A' in FIG. 9 and corresponding photos, prices, etc.). According to one embodiment of the present invention, an advertising message may be transmitted from a server to an IoT terminal. According to one embodiment of the present invention, the server determines the type of store (e.g., industry, type of product/item provided at the store, etc.) and/or menus available at the store (e.g., the store at least some of the menus available in may be advertised), customer information, menus selected/requested by the customer (e.g., menus presumed/identified to match the menu selected/requested by the customer may be advertised, e.g. For example, in estimating/identifying a menu that is estimated/identified as matching the menu selected/requested by the customer, the recommendation model according to an embodiment of the present invention described above may be used and/or big data may be used), the store An advertising message may be generated based on one or more of order data from a plurality of stores including. According to one embodiment of the present invention, advertising revenue based on the advertising message may be paid back from the advertiser to the store owner.

According to one embodiment of the present invention, icons for other services may be provided in the fourth area 707 of the display unit.

For example, a symbol, text, video, image, or other visual information indicating 'sign up' may be displayed in the fourth area 707 of the display unit so that the customer can sign up for the service platform.

For example, an icon for providing another pre-linked service may be displayed in the fourth area 707 of the display unit. For example, symbols, text, videos, images, or other visual information indicating 'designated driving' may be provided to provide services through a designated driver company that is previously linked to a store and/or server. For example, when the customer requests the provision of another pre-linked service, the server provides the customer's information and/or store location information and/or other information (e.g., in the case of a designated driver service, the arrival location requested by the customer) information) can be delivered to a company that provides other pre-linked services. For example, when the customer requests the provision of another pre-linked service, the server may provide the customer with a discount coupon that can be used to use the other pre-linked service.

For example, icons for menu search, sorting, Internet use, view switching (simple view), and/or displaying a shopping cart may be displayed in the fourth area 707 of the display unit.

Referring again to FIG. 8, according to one embodiment of the present invention, a point of sale (POS) may be hardware and/or software that performs point-of-sale information management. According to one embodiment of the present invention, POS can be used to collect and process all sales information in real time and comprehensively analyze and evaluate the information for each section. According to one embodiment of the present invention, POS can check and manage the store's operating status in real time through wired and wireless communication, and collect, transmit and receive data such as system maintenance and real-time sales.

According to one embodiment of the present invention, an IoT robot may be hardware that performs operations related to providing store services. According to an embodiment of the present invention, when a server receives a request for one or more menus from an IoT terminal, the server can control an IoT robot (one or more IoT robots among a plurality of IoT robots) to provide services related to one or more menus. there is. For example, the server may transmit control commands and/or control information to the IoT robot to provide services related to one or more menus, and the IoT robot may perform actions based on the control commands and/or control information. there is.

According to an embodiment of the present invention, the IoT robot may include one or more of a collaborative robot (first IoT robot) and a serving robot (second IoT robot).

According to one embodiment of the present invention, the collaborative robot can cook and/or manufacture menus based on control commands and/or control information, and may have the form of a robot arm, but is not limited thereto. According to one embodiment of the present invention, the collaborative robot determines one or more of the order order and/or cooking order and/or manufacturing order and/or the same menu and/or table movement based on the control command and/or control information. Based on this, cooking and/or manufacturing of the menu can be performed.

According to one embodiment of the present invention, the serving robot (and/or IoT robot 50) provides a requested menu (and/or customer Goods or services corresponding to the requested menu) and/or other goods (and/or services) (e.g., goods related to service provision such as spoons, chopsticks, water, wet towels, etc.) may be delivered. According to an embodiment of the present invention, the serving robot is based on a control command and/or control information, one of the following: table movement line, distance, location, requested menu, goods necessary/related to provision of service, and/or order of provision of goods. The above can be determined, and the requested menu and/or other items can be delivered based on this.

For example, an IoT terminal may be installed/furnished (separably) in each table, and the number/position of each table may be confirmed/identified based on the ID assigned to the IoT terminal, which is used to control the IoT robot. You can utilize it. For example, when a plurality of serving robots are included in a store, the serving robot that will perform the operation of delivering the requested menu and/or other items to the customer and/or the table at which the customer is seated is an IoT terminal and a plurality of It may be selected from a plurality of serving robots based on the distance between each serving robot. For example, a serving robot located closest to the IoT terminal can be used.

According to an embodiment of the present invention, IoT devices include personal portable terminals, cellular phones, personal communication service phones, GSM phones, WCDMA phones, MBS phones, smart phones (phones or multi-mode multi-band terminals, PCs, laptop PCs, handhelds). PC, tablet PC, ultrabook, slate PC, digital broadcasting terminal, PMP, navigation, wearable device (e.g., watch type terminal (smartwatch), glass type terminal (smart glass), HMD (head mounted display), etc. and/or according to an embodiment of the present invention, the IoT device performs operations related to providing store-related services by exchanging data with a server and/or other devices based on IoT technology. For example, IoT devices may include body temperature sensors, cameras, heating and cooling devices, table lights, air purifiers, AI speakers, etc.

According to one embodiment of the present invention, the operation of an IoT device can be controlled by a server. For example, the control operation of the server's IoT device may be based on an AI model. The model acquisition operation according to an embodiment of the present invention described below is explained by taking the above-described recommendation model acquisition operation as an example, but in a similar manner, the control operation of the IoT device can obtain an AI model. For example, when a customer's entrance is confirmed through a camera, the heating/cooling device, air purifier, and smart speaker may be activated, and the customer's body temperature may be measured/reported based on the body temperature measurement sensor. For example, when it is confirmed that a customer is seated at a table through a camera, lighting for each table can be activated. For example, order cancellation, lack of food ingredients, kitchen recipes, etc. may be controlled and/or guided by an IoT terminal included in the speaker and/or IoT device using voice and/or visual information.

According to an embodiment of the present invention, middleware is hardware and/or software for linking with other stores/businesses other than the store and/or other stores/businesses that are not subscribed to the service platform according to an embodiment of the present invention. You can. According to an embodiment of the present invention, the middleware can identify and transmit one or more of information needed by and/or requested from other stores/businesses, main business logic, and events.

2.2. Model acquisition behavior

An artificial intelligence system is a computer system that implements human-level intelligence, and unlike existing rule-based smart systems, it is a system in which machines learn and make decisions on their own and become smarter. As artificial intelligence systems are used, the recognition rate improves and users' preferences can be more accurately understood, and existing rule-based smart systems are gradually being replaced by deep learning-based artificial intelligence systems.

Artificial intelligence technology consists of machine learning (deep learning) and element technologies using machine learning.

Machine learning is an algorithmic technology that classifies/learns the characteristics of input data on its own, and elemental technology is a technology that uses machine learning algorithms such as deep learning to mimic the functions of the human brain such as cognition and judgment, including linguistic understanding and visual It consists of technical areas such as understanding, reasoning/prediction, knowledge expression, and motion control.

The various fields where artificial intelligence technology is applied are as follows. Linguistic understanding is a technology that recognizes and applies/processes human language/characters and includes natural language processing, machine translation, conversation systems, question and answer, and voice recognition/synthesis. Visual understanding is a technology that recognizes and processes objects like human vision, and includes object recognition, object tracking, image search, person recognition, scene understanding, spatial understanding, and image improvement. Inferential prediction is a technology that judges information to make logical inferences and predictions, and includes knowledge/probability-based reasoning, optimization prediction, preference-based planning, and recommendations. Knowledge expression is a technology that automatically processes human experience information into knowledge data, and includes knowledge construction (data creation/classification) and knowledge management (data utilization). Motion control is a technology that controls the autonomous driving of vehicles and the movement of robots, and includes motion control (navigation, collision, driving), operation control (behavior control), etc.

In the following description, an embodiment of the present invention is described on the premise that the server 20 performs a model acquisition operation. However, according to an embodiment of the present invention, another server outside the server 20 performs a model acquisition operation. It can also be done. Alternatively, according to an embodiment of the present invention, a plurality of IoT terminals 40 and/or a plurality of servers 20 are provided, and a plurality of IoT terminals 40 and/or a plurality of servers 20 are provided. Each operation of the model acquisition operation may be distributed and performed separately.

Figure 10 is a diagram illustrating a process for obtaining a recommendation model according to an embodiment of the present invention.

Figure 11 is a diagram illustrating a method of operating a device for obtaining a recommendation model according to an embodiment of the present invention.

Referring to FIG. 10, according to an embodiment of the present invention, the server may collect training data. According to an embodiment of the present invention, the learning data may include customer-related learning data and store-related learning data.

For example, customer-related learning data includes profile information including date of birth, gender, email, mobile phone, and address of each of a plurality of customers, and preferred menus for each of a plurality of customers obtained based on the service request history of each of the multiple customers. It may contain one or more of the information about.

For example, store-related learning data includes a plurality of menus that can be provided by each of a plurality of stores, addresses of each of the plurality of stores, reviews of each of the plurality of stores, and a plurality of menus that can be provided by each of the plurality of stores. The menu may include one or more of information about popular menus at each of a plurality of stores obtained based on the order history of each menu. For example, each of the information about the preferred menu and the information about the popular menu is an order time slot having a predefined constant time length (e.g., a certain total time section may be each time section divided into a certain time size) For example, it may be, but is not limited to, morning/afternoon/evening. For example, it may be used to identify popular menus corresponding to that time period) and weather (e.g., sunny, cloudy, rainy, It may be information classified according to showers, lightning, snow, hail, etc. For example, it may be used to identify popular menus corresponding to the weather and/or expected weather.

According to an embodiment of the present invention, the server may obtain training data based on training data. For example, the learning data may be pre-processed/converted so that the learning data can be input to the AI engine for learning. For example, learning data may include training data and testing data.

For example, the server may classify learning data into training data and testing data. For example, training data can be used to learn a model, and testing data can be used to verify and update the learned AI engine.

For example, the server can train an AI engine based on training data. For example, an AI engine may be an artificial intelligence engine that can be trained based on artificial intelligence algorithms. For example, artificial intelligence engines include Convolutional Neural Network (CNN), Deep Neural Network (DNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), and Bidirectional Recurrent Deep Neural Network (BRDNN). ) or Deep Q-Networks, but are not limited to these.

According to an embodiment of the present invention, the server may obtain processed data for testing data based on a learned model.

According to one embodiment of the present invention, the server can obtain feedback information about processed data.

For example, feedback information may be input from a server administrator.

As another example, if there is pre-processed learning data for the corresponding processed data, the server may compare the pre-processed learning data with the processed data and generate feedback information based on the comparison result. there is. For example, the learning data may include pre-processed and post-processed versions of the data, and the server processes the pre-processed data based on the learned model to generate processed data, and the processed data included in the processed data and the learning data. You can also compare versions and obtain feedback based on the comparison results.

According to one embodiment of the present invention, the server may update the learned model based on feedback.

For example, the server modifies the characteristics of the learned model (e.g., CNN characteristics) based on feedback, processes test data based on the modified model, and obtains feedback again to update the process. It can be repeated.

According to one embodiment of the present invention, when the number of repetitions reaches a preset threshold (for example, 7-9 times), the server may terminate the operation and obtain the learned AI engine as a recommendation model.

Referring to FIG. 11, according to an embodiment of the present invention, in operation 901, the server trains the AI engine based on training data among training data and test data obtained based on processing the training data. You can.

According to one embodiment of the present invention, in operation 903, the server may obtain feedback information about processed data output in response to test data being input into the learned AI engine.

According to one embodiment of the present invention, in operation 905, the server may update the AI engine based on feedback information.

According to one embodiment of the present invention, in operation 907, the server may compare the number of times operations 901 to 905 are repeated with a preset threshold (N_TH). For example, a count value corresponding to the number of repetitions of operations 901 to 905 may be set. For example, the initial value of the count value may be 0. For example, each time operations 901 to 905 are repeated once, the count value may be increased by 1. For example, the server may compare this count value to a preset threshold (N_TH).

For example, if the number of repetitions does not match the preset threshold (i.e., if the number of repetitions is less than the preset threshold), the server may return to operation 901 and re-perform operations 901 to 905.

For example, the server may terminate a process if the number of iterations matches a preset threshold.

An embodiment of the present invention may be embodied in another specific form without departing from its technical idea and essential features. Accordingly, the above detailed description should not be construed as restrictive in all respects and should be considered illustrative. The scope of an embodiment of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of an embodiment of the present invention are included in the scope of an embodiment of the present invention. In addition, claims that do not have an explicit reference relationship in the patent claims can be combined to form an embodiment or included as a new claim through amendment after filing.

Claims (1)

In the system for the delivery platform,
server; customer terminal; Multiple IoT (internet of things) terminals; One or more serving robots; point of sales (POS) devices; and delivery driver terminal; Including,
Said server:
Receive service request information including information about the customer identifier and information about the store ID,
Obtaining a recommended menu list based on the output information of the recommendation model obtained in response to input of input information including customer information about the customer corresponding to the customer ID and store information about a specific store corresponding to the store ID. do,
As the customer information and the store information are input to the recommendation model, one or more first attribute values related to the estimated preference of a customer corresponding to the customer ID among a plurality of preset customers to which different customer IDs are assigned are obtained; ,
Among a plurality of preset stores assigned different store IDs, one or more second attribute values are pre-assigned to each of a plurality of menus available at a specific store corresponding to the store ID,
The plurality of IoT terminals and the one or more serving robots are provided in the specific store,
Said server:
The service request information is received from one IoT terminal among the plurality of IoT terminals, wherein the customer ID corresponds to the customer who is a user using the one IoT terminal, and the store ID is an IoT terminal where the one IoT terminal is installed. Corresponds to the store,
Transmitting the recommended menu list to the one IoT terminal so that it is output from an output unit included in the one IoT terminal,
Said server:
A value for each of a plurality of menus including a plurality of menus that can be provided by the plurality of stores according to a property value table defined by the property of the menu and the level of the property of the menu. assigning the one or more second attribute values based on this assignment;
Obtaining the one or more first attribute values based on a value being assigned to each of one or more estimated preference menus obtained based on the customer's order history at the plurality of stores and the recommendation model according to the attribute value table. do,
① an ID assigned to the one IoT terminal, ② an ID assigned to each of the one or more serving robots, and ③ a specific serving robot among the one or more serving robots based on the distance between each of the one or more serving robots and the one IoT terminal. Select ,
Based on the request information for one or more menus among a plurality of menus available at the specific store being received from the one IoT terminal in response to the recommended menu list, at least one of food and beverage corresponding to the one or more menus Controlling the specific serving robot to perform an operation of delivering any one to the customer,
Based on the fact that a value matching a first value among the one or more first attribute values is included in the one or more second attribute values, including a menu corresponding to the first value in the recommended menu list,
Based on the fact that a value matching the second value among the one or more first attribute values is not included in the one or more second attribute values, a similarity score is calculated for each of the second value and the one or more second attribute values. However, the recommended menu list includes a menu corresponding to a value corresponding to the maximum or minimum similarity score among the one or more second attribute values,
Said server:
Receive first delivery order information from the customer terminal,
Generating second delivery order information based on the customer personal information corresponding to the customer terminal and the first delivery order information,
Calculate a comprehensive score (CompS) based on Equation 1 below,
If the overall score is below a predetermined threshold, waiting to receive request information indicating whether to deliver the second delivery order information to the delivery driver terminal from the POS device,
If the overall score exceeds the predetermined threshold, the waiting process is skipped and the second delivery order information is automatically delivered to the delivery driver terminal,
[Equation 1]

StabS corresponds to the stability score, DisDiff corresponds to the distance difference between the first location information of the specific store and the second location information of the customer terminal, and w1 corresponds to the cleanliness score. is the first weight, and w2 and w3 are the second and third weights respectively corresponding to the stability score,
The cleanliness score (CleanS) is calculated based on Equation 2 below,
[Equation 2]

Count corresponds to the number of times the specific store has been inspected by an external agency, Level corresponds to the cleanliness-related grade given to the specific store by the external agency, and Category is based on the category of food registered as the main menu by the specific store. It is a value determined by, and the external organization corresponds to at least one of the Ministry of Food and Drug Safety, other government agencies, or local governments,
The stability score (StabS) is a value calculated based on the percentage of normal delivery completed within the expected arrival time set by the specific store,
The relative value (RelValue, Relative Value) of Equation 1 is calculated based on Equation 3 below,
[Equation 3]

CusPoi corresponds to the points accumulated by the customer of the customer terminal (Customer Point), OrdPri corresponds to the total delivery fee (Order Price) that the customer of the customer terminal placed an order to the specific store,
The Category is set to a higher value as the degree to which the food category registered as the main menu by the specific store changes over time after being cooked is greater.