KR20230043659A - Method of operating a delivery platform and its system - Google Patents

Abstract

The present invention relates to a method of operating a delivery platform and a system thereof. In addition, the present invention is a technology which can be used in restaurants, liquor stores, etc. The present invention also relates to a system for a delivery service online platform. In addition, the present invention relates to a system for automatically receiving delivery information and analyzing information collected through an IoT device.

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.

In addition, the present invention is a technology that can be utilized in restaurants, liquor stores, and the like, and also relates to a system for a delivery service online platform.

In addition, the present invention relates to a system for automatically receiving delivery information and analyzing information collected through an IoT device.

Currently, delivery of various items is on the rise, and the number of people specializing in delivery is also on the rise due to the increase in applications that mediate delivery. Delivery drivers who deliver goods are constantly searching for delivery goods to increase their profit rate, and even while on the move.

In this regard, Korean Patent Registration No. 10-1190556, which is a prior art document, registers information on items requested for simultaneous delivery in a database so that a plurality of mails provided to the same recipient are delivered simultaneously, and uses the information registered in the database to deliver postal items. are delivered at the same time. As such, in the prior art literature, several items to be delivered to the same recipient are bundled together and delivered at the same time in order to increase delivery efficiency.

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

In this way, the starting point and the destination according to the delivery order increase as the number of delivery items increases. Moreover, the delivery driver must determine the driving route one by one considering not only the starting point and destination, but also the situation of urgent quick service or items that require cooking time, such as food. Therefore, in order for the delivery driver to deliver a plurality of items, there is a problem in that it is difficult to set a driving route due to an increase in matters to be considered.

Even while delivering a single item, the delivery driver continuously checks the delivery order details to increase the rate of return, and even while driving. As a result, the delivery driver cannot concentrate on driving to check the delivery order details, so the time required for delivery increases, and checking the delivery order details while driving threatens the safety of the delivery driver.

On the other hand, the above-mentioned background art is technical information that the inventor possessed for derivation of the present invention or acquired in the process of derivation of the present invention, and cannot necessarily be said to be known art disclosed to the general public prior to filing the present invention. .

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

An object of the present invention is to solve such conventional problems, and to provide a food ordering and delivery method using online and a system for ordering food from various restaurants at the same time when ordering food.

Another object of the present invention is to provide a food ordering and delivery method and system using online, which can eliminate labor costs required for food delivery by restaurants. Moreover, it is to provide a food ordering and delivery method and system using online that can prevent delivery delay even if there are orders from a large number of food orderers.

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

An embodiment of the present invention is a homepage of a service provider, a server that drives the homepage, a POS device installed in a plurality of restaurants connected to the server through a network, a database storing information on a plurality 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, the food selection step of generating food order information by accessing the homepage and selecting food to be ordered by the orderer. ; 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 estimated cooking completion time of the food; a delivery employee search step of searching for a delivery employee located closest to the restaurant among delivery employees possessing 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 of the ordered food to the IoT terminal of the searched delivery employee; a cooking instruction step of transmitting the food order information selected from the homepage to a POS device provided in a corresponding restaurant that cooks the ordered food; a food cooking step of cooking the food identified from the food order information in the corresponding restaurant; a delivery step in which, when cooking is completed at the corresponding restaurant, the delivery employee receives the food from the restaurant and delivers the food to the orderer who ordered the food; a delivery confirmation step in which the delivery employee 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 including.

According to one embodiment of the present invention, a driving unit, a main body portion connected to the driving unit, including an upper surface, and at least a part of the side surface having an open interior, and a main body container disposed inside the main body unit, wherein the A main body container and a serving device in which food or food containers are disposed on the upper surface are provided.

According to one embodiment of the present invention, an IoT robot for transporting food and an operating method thereof are provided. The IoT robot and its operating method, in the IoT robot transporting the object to the customer, a communication unit for performing communication with an external device; a driving unit that controls movement of the robot; a storage unit for accommodating the object; an infrared sensor unit provided on an upper side of the inside of the storage unit, emitting infrared rays at regular intervals, and detecting reflected infrared rays that are returned after the infrared rays are reflected by the object; a memory that stores one or more instructions; and a processor controlling the IoT robot by executing the at least one instruction. When the object is accommodated in the storage unit, the infrared sensor unit emits the emitted infrared rays toward the object and detects the reflected infrared rays to detect the food included in the object from the infrared sensor unit. The IoT robot for transporting food that measures the distance to the surface, the processor checks whether the object corresponding to the cooked food is stored in the storage unit, and controls the moving speed of the drive unit based on the distance. suggests

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

The processor may decrease the movement speed of the driving unit when the surface slope of the object exceeds a reference value, and increase the movement speed of the driving unit when the surface slope of the object is below the reference value.

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 other IoT robots, 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 an entry time, the number of customers located in the store, a call frequency of the customer, and a sales price of the object.

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

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

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

One or more second attribute values may be assigned in advance to each of a plurality of menus that can be provided by a store corresponding to the store ID among a plurality of preset stores to which different store IDs are assigned.

The recommended menu list may include one or more menus selected from among a plurality of menus available in 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 is a popular menu in the store that is obtained based on a plurality of menus that can be provided in the store, an address of the store, a review about the store, and an order history of each of the plurality of menus that can be provided in the store. may contain information about

In the database: (i) Profile information including date of birth, gender, e-mail address, mobile phone number, 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 that can be provided at each of the plurality of stores and information about order history of each of the plurality of menus that can be provided at each of the plurality of stores, each of which is different from each other to which the plurality of stores are assigned It may be classified and stored by IDs.

The recommendation model may be preset based on the application of machine learning to an artificial intelligence (AI) engine for acquiring the recommendation model.

The machine learning includes: - (a) learning the AI engine based on training data for obtaining the recommendation model; - (b) obtaining feedback information on processed data output in response to the input of test data for verification of the learned AI engine to the AI engine; - (c) update the AI engine based on the feedback information; and - (d) the above (a) to (c) are repeated, but each time (a) to (c) is repeated, the count value having the initial value of 0 is increased by 1, and the count value is a preset count threshold terminate based on match value; can be performed based on

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

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

The customer-related learning data is: Profile information including the 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 service request history of each of the plurality of customers. It may contain information about the menu.

The store-related learning data includes: a plurality of menus that can be provided in each of the plurality of stores, an address of each of the plurality of stores, a review of each of the plurality of stores, and a plurality of items that can be provided in each of the plurality of stores. It may include information about popular menus in each of the plurality of stores obtained based on the order history of each of the menus of the .

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

The store may be operated based on a plurality of IoT robots and a plurality of internet of things (IoT) 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 recommendation 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 that can be provided in the store in response to information related to the recommended menu list from the one IoT device, Control one or more IoT robots of the plurality of IoT robots to provide a service; may further include

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 an item corresponding to the one or more menus or an item related to providing a service related to the one or more menus to the customer.

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

The at least one second attribute value includes a plurality of menus that can be provided in the plurality of stores according to a table of attribute values defined by a property of a menu and a level of the property of the menu. It may be pre-allocated based on the value assigned to each of a plurality of menus.

The one or more first attribute values are assigned values to each of the one or more estimated preference menus obtained based on the customer's order history in 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 the first value among the one or more first attribute values is included in the one or more second attribute values, the recommendation menu list may include a menu corresponding to the first value.

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 for each of the one or more second attribute values is obtained. and the recommendation menu list may include a menu corresponding to a value corresponding to a maximum or minimum similarity score among the one or more second attribute values.

Similarity scores for each of the first value and the one or more second attribute values may be obtained.

The recommendation menu list may further include a menu corresponding to a value corresponding to a similarity score equal to or lower than a preset threshold among the one or more second attribute values.

The method may include: transmitting an advertisement message obtained based on the type of the store and each type of a plurality of menus that can be provided in the store; may further include

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

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

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

One or more second attribute values may be assigned in advance to each of a plurality of menus that can be provided in a store corresponding to the store ID among a plurality of preset stores to which different store IDs are assigned.

The recommended menu list may include one or more menus selected from among a plurality of menus available in 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, e-mail, mobile phone, and address, and information about the customer's preferred menu obtained based on the customer's service request history.

The store information is a popular menu in the store that is obtained based on a plurality of menus that can be provided in the store, an address of the store, a review about the store, and an order history of each of the plurality of menus that can be provided in the store. may contain information about

In the database: (i) Profile information including date of birth, gender, e-mail address, mobile phone number, 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 that can be provided at each of the plurality of stores and information on order history of each of the plurality of menus that can be provided at each of the plurality of stores is allocated to each of the plurality of stores It may be classified and stored for each different stored store ID.

The recommendation model may be preset based on the application of machine learning to an artificial intelligence (AI) engine for acquiring the recommendation model.

The machine learning includes: - (a) learning the AI engine based on training data for obtaining the recommendation model; - (b) obtaining feedback information on processed data output in response to the input of test data for verification of the learned AI engine to the AI engine; - (c) update the AI engine based on the feedback information; and - (d) the above (a) to (c) are repeated, but each time (a) to (c) is repeated, the count value having the initial value of 0 is increased by 1, and the count value is a preset count threshold terminate based on match value; can be performed based on

The training data and the test data may be obtained based on learning 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 is: Profile information including the 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 service request history of each of the plurality of customers. It may contain information about the menu.

The store-related learning data includes: a plurality of menus that can be provided in each of the plurality of stores, an address of each of the plurality of stores, a review of each of the plurality of stores, and a plurality of items that can be provided in each of the plurality of stores. It may include information about popular menus in each of the plurality of stores obtained based on the order history of each of the menus of the .

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

The store may be operated based on a plurality of IoT robots and a plurality of internet of things (IoT) 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 recommendation 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 that can be provided in the store being received from the one IoT device in response to information related to the recommended menu list, the one or more menus Control one or more IoT robots among the plurality of IoT robots to provide services related to; can be set to

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 an item corresponding to the one or more menus or an item related to providing a service related to the one or more menus to the customer.

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

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

The one or more first attribute values are assigned values to each of the one or more estimated preference menus obtained based on the customer's order history in 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 the first value among the one or more first attribute values is included in the one or more second attribute values, the recommendation menu list may include a menu corresponding to the first value.

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 for each of the one or more second attribute values is obtained. and the recommendation menu list may include a menu corresponding to a value corresponding to a maximum or minimum similarity score among the one or more second attribute values.

Similarity scores for each of the first value and the one or more second attribute values may be obtained.

The recommendation menu list may further include a menu corresponding to a value corresponding to a similarity score equal to or lower than a preset threshold among the one or more second attribute values.

The one or more processors may: transmit an advertisement message obtained based on the type of the store and each type of a plurality of menus that can be provided in the store; can be set to

The above-described embodiments of the present invention are only some of the preferred embodiments, and various embodiments reflecting the technical features of one embodiment of the present invention will be described in detail below by those of ordinary skill in the art. It can be derived and understood based on the description.

According to the present invention, there is provided a food ordering and delivery method and system using online, in which an orderer can simultaneously order food from various restaurants when ordering food.

In addition, a method and system for ordering and delivering food using online, which can eliminate labor costs required for food delivery by restaurants, are provided. Moreover, an online food ordering and delivery method and system capable of preventing delivery delay even if there are orders from a plurality of food orderers are provided.

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

BRIEF DESCRIPTION OF THE DRAWINGS 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, describe technical features of one embodiment of the present invention.
1 is a diagram for explaining a serving system in which a method of operating an apparatus for providing an order service according to an embodiment of the present invention can be implemented.
2 is a diagram showing the configuration of a terminal and/or a server according to an embodiment of the present invention.
3 is a configuration diagram of an IoT robot according to an embodiment of the present invention.
4 is a diagram illustrating a method of measuring a surface inclination of an object stored in a storage unit through an infrared sensor unit according to an embodiment of the present invention.
5 is a diagram illustrating an example of a method of operating an IoT terminal and a server according to an embodiment of the present invention.
6 is a diagram illustrating an example of an operating method of an IoT terminal according to an embodiment of the present invention.
7 is a diagram illustrating an example of a method of operating a server according to an embodiment of the present invention.
8 is a diagram showing an example of a system configuration for operating a service platform according to an embodiment of the present invention.
9 is a diagram illustrating an example of a user interface provided through an IoT terminal according to an embodiment of the present invention.
10 is a diagram illustrating a process of obtaining a recommendation model according to an embodiment of the present invention.
11 is a diagram illustrating an operating method of an apparatus 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 accompanying drawings.

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

For the same reason, in the accompanying drawings, some components are exaggerated, omitted, or schematically illustrated. Also, the size of each component does not entirely reflect the actual size. In each figure, the same reference number is assigned to the same or corresponding component.

Advantages and features of the present invention, and methods for achieving them, will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs It is provided to fully inform the holder of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

At this time, it will be understood that each block of the process flow chart diagrams and combinations of the flow chart diagrams can be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment are described in the flowchart block(s). It creates means to perform functions. These computer program instructions may also be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular way, such that the computer usable or computer readable memory The instructions stored in are also capable of producing an article of manufacture containing instruction means that perform the functions described in the flowchart block(s). The computer program instructions can also be loaded 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 computer-executed process to generate computer or other programmable data processing equipment. Instructions for performing processing equipment may also provide steps for carrying out the functions described in the flowchart 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). It should also be noted that in some alternative implementations it is possible for the functions mentioned in the blocks to occur out of order. For example, two blocks shown in succession may in fact be executed substantially concurrently, or the blocks may sometimes be executed in reverse order depending on their function.

At this time, the term '~unit' used in this embodiment means software or a hardware component such as a field-programmable gate array (FPGA) or application specific integrated circuit (ASIC), and what role does '~unit' have? perform them However, '~ part' is not limited to software or hardware. '~bu' may be configured to be in an addressable storage medium and may be configured to reproduce one or more processors. Therefore, as an example, '~unit' 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. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

In describing the embodiments of the present invention in detail, an example of a specific system will be the main target, but the main subject matter to be claimed in this specification extends the scope disclosed herein to other communication systems and services having a similar technical background. It can be applied within a range that does not deviate greatly, and this will be possible with the judgment of those skilled in the art.

1. Serving system implementation

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

Referring to Figure 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 the server 20, the network 30, the IoT terminal 40, the IoT robot 50, and/or the POS device 60. In other words, the server 20, the network 30, the IoT terminal 40, the IoT robot 50 and / or the POS device 60 are based on the serving system implemented in each device, according to one embodiment of the present invention. An operation according to the example may be performed.

Meanwhile, the serving system 10 is not limited to that shown in FIG. 1 and may be implemented in more various 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 having a large storage capacity. For example, the server 20 may be interworked with a plurality of IoT terminals 40 . Although not shown, a separate device for controlling/managing the server 20 may be provided.

In addition, the server 20 determines customer satisfaction with respect to the restaurant (or canteen, restaurant) where the serving system 10 is provided based on the signal obtained through the IoT terminal 40 and/or the IoT robot 50. A process for estimating may be provided, or a process for estimating customer satisfaction with food (or food) provided through the IoT robot 50 may be implemented.

The IoT terminal 40 may be installed in a store to provide an ordering service according to a customer's request. However, the IoT terminal 40 according to an embodiment of the present invention is not limited thereto, and for example, a smart device possessed by a customer may also be the IoT terminal 40. In this case, the IoT terminal 40 described later An operation according to an embodiment may be implemented in the form of an application operable in 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 an employee is not resident or a store where serving is not performed by an employee (a cafe that provides drinks, meals, and other products, a product store, or Implements the process of serving food, beverages and/or other items, and the vessels (or containers) that contain them, to customers (including establishments such as restaurants and bars). In addition, the IoT robot 50 performs an operation of controlling a moving speed so as not to spill food by recognizing an object to be served in the process of serving an object including food, drink, and/or other items, and a bowl (or container) containing the same. can be done For example, the IoT robot 50 may recognize that an object is stored through a weight sensor (not shown). In addition, the IoT robot 50 may identify the gradient and/or degree of 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 may control the moving speed according to the gradient and/or dispersion of food. Through this, the IoT robot 50 and its operating method can quickly deliver the food in the bowl to the customer without spilling it.

The IoT robot 50 may have a moving means through the driving unit 320 . For example, the IoT robot 50 may include a main wheel, an auxiliary wheel, and at least one shaft serving as a rotational axis of the wheel (ie, 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 a current point (eg, a position where a mobile robot in a standby state waits or recharges power) to a specific point in the store (eg, a table where a customer is located). corresponding position). In addition, the IoT robot 50 may set a movement path from a 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 receives an order through his/her customer terminal (not shown) and/or the IoT terminal 40 provided in the store, and the server 20 receives the order and records it in the database 230, or the delivery driver terminal (70) to control the delivery corresponding to the order. Here, the IoT terminal 40 and/or the delivery driver terminal 70 may be used by installing an application on a smartphone or the like, or may be manufactured and used as a separate terminal.

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

In addition, the order received through the customer terminal (not shown) and / or the IoT terminal 40 provided in the store may be first received through an external server (not shown), and the external server receives the received order (eg; Second order information may be generated based on the first order information) and transmitted to the POS device 60 through the server 20 or directly transmitted to the POS device 60 . To this end, an 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. In addition, 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 . Also, the first order information may include information on food, beverage, and stores. The second order information is information generated based on the first order information, and may include information on food, beverages, and stores included in the first order information, and information on food, beverages, and stores. It may include information (eg, an identifier (ID)) representing a delivery company or delivery driver terminal 70 that matches the .

On the other hand, 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 an external server (not shown) ⇒ server 20 ⇒ POS device 60 or external Server (not shown) ⇒ POS device 60 ⇒ server 20, by omitting the server 20 or POS device 60 in the middle, 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 ordering and delivery can be expected. In addition, when the POS device 60 is omitted, it is more efficient because the in-store employee does not have to go through the process of inputting the information to another place (eg, the server 20) after confirming that the first order information has been received. it can be seen that Meanwhile, by inputting first order information (and/or second order information) into the POS device 60 by an employee in the store, the corresponding information can be transmitted to the server 20, and the server 20 The delivered information is delivered to and/or terminals (or IoT devices, artificial intelligence refrigerators, etc.) placed in the kitchen in the store to start (and/or prepare) a dish corresponding to the order. .

The serving system 10 may include various modules for operation. Modules included in the serving system perform designated operations by physical devices (eg, server 20, IoT terminal 40, and/or IoT robot 50) in which the serving system is implemented (or included in the physical device). It may be computer code or one or more instructions implemented to do so. In other words, the physical device in which the serving system 10 is implemented stores a plurality of modules in a 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. to perform specified actions.

In addition, the server 20 receives the customer's personal information and the first order information from the customer terminal, and determines whether or not the first order information (and/or the second order information generated based on the first order information) is automatically delivered. can decide

For example, the server 20 may omit or proceed with the automatic delivery or not, depending on whether or not to automatically deliver. Meanwhile, when the first step is omitted, third order information generated based on the second order information may be transmitted to the POS device 30 after the second order information is transmitted to the delivery driver terminal. In this case, the third order information may be generated based on the second order information and information on the delivery driver's terminal, and the third order information may include an expected delivery time.

In addition, the server 20 may wait for and/or receive an input regarding whether to deliver the first order information (and/or second order information) to the delivery driver terminal through the POS device (and/or customer terminal). (Step 1). For example, the server determines whether or not to deliver the first order information (and/or second order information) to the delivery driver terminal. Alternatively, a standby state may be maintained until delivery from the customer terminal).

In addition, the server 20 may generate second order information based on the customer's personal information and the first order information and transmit the second order information to the delivery driver's terminal (step 2). 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 on the delivery driver's terminal. The information on the delivery driver's terminal may include personal information of the delivery driver, information on the delivery service of the delivery driver, and information on a delivery agency. At this time, the information on the delivery work of the delivery driver may include a cumulative delivery amount for a predetermined period, a same-day delivery amount, a delivery amount received in real time, and the like.

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

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 delivery driver It may be determined based on the number of second order information transmitted to the terminal.

In addition, the server 20 (and / or processor 240) may calculate the comprehensive score (CompS, comprehensive score) 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 the processor 240) may be controlled to omit the first step and proceed to the second step when CompS in Equation 1 exceeds a predetermined threshold, , If CompS is less than or equal to a predetermined threshold, the first step may be controlled to proceed (that is, it may wait to receive a request instructing delivery of order information from a customer terminal (or POS device)).

[Equation 1]

CleanS corresponds to the cleanliness score, StabS corresponds to the stability score, and DisDiff corresponds to the distance between the first location information of the corresponding POS device (or the corresponding restaurant) and the second location information of the customer terminal. It may correspond to a 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 safety score.

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

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

[Equation 2]

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

For example, Count may indicate the number of times the corresponding restaurant has been inspected by an external institution for a predetermined period (eg, weekly, monthly, yearly).

For example, Level may be set as a first value if the restaurant has the highest rating from an external institution, set as a second value if it is the next highest rating, and may be set as a third value if it is a different rating. And, 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'.

For example, the Category may be set differently according to the degree to which the (food) category of the food registered as the main menu of the corresponding restaurant changes over time. For example, the main menu changes over time after being cooked, such as 'tempura', 'pasta', 'grilled meat', 'sashimi', 'sushi', 'yukhoe', 'ice cream', 'bingsu', etc. When the category is set to the fourth value and the main menu is a food category with a relatively small degree of change over time after cooking, such as 'bread' and 'fruit' Category may be set to a fifth value. The fourth value may be higher than the fifth value.

The stability score (StabS) is the expected arrival time of delivery (or delivery) of the corresponding restaurant (ie, the restaurant corresponding to the POS device) or the corresponding delivery driver (ie, order information provided by the server 20 to the customer terminal 10). It is a value calculated based on the rate at which delivery is normally completed within the estimated arrival time corresponding to), and may be defined as a constant value between 0 and 10. The expected 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 corresponding restaurant), further considering the information on the delivery driver terminal and/or the stability score (StabS). may be determined.

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

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

[Equation 3]

RelValue is a relative value that is a reference for determining the calculation method in Equation 1, and CusPoi is a point (Customer Point ), and OrdPri may correspond to the total delivery fee (Order Price) that the customer places an order at the restaurant.

2 is a diagram showing the configuration of a terminal and/or a 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 may be divided into an input module and an output module, and the input module receives a user input from a user. User input may be made in various forms including key input, touch input, and voice input. Examples of input modules capable of receiving such user input include a traditional keypad, keyboard, and mouse, as well as a touch sensor that detects a user's touch, a microphone that receives a voice signal, a camera that recognizes gestures through image recognition, A proximity sensor composed of an illuminance sensor or infrared sensor that detects user approach, a motion sensor that recognizes user motion through an acceleration sensor or 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 Here, the touch sensor may be implemented as a piezoelectric or capacitive touch sensor that detects a touch through a touch panel attached to a display panel or a touch film, an optical touch sensor that detects a touch by an optical method, and the like. In addition, the input module may be implemented in the form of an input interface (USB port, PS/2 port, etc.) connecting an external input device that receives a user input instead of a device that detects a user input by itself. In addition, the output module may output various types of information and provide them to the user. The output module is a comprehensive concept including a display that outputs an image, a speaker that outputs sound, a haptic device that generates vibration, and other various types of output means. In addition, the output module may be implemented in the form of a port type output interface connecting the above-described individual output means.

For example, an output module in the form of a display may display text, still images, and moving images. Displays include liquid crystal displays (LCDs), light emitting diodes (LEDs) displays, organic light emitting diodes (OLEDs) displays, flat panel displays (FPDs), and transparent displays. display), curved display, flexible display, 3D display, holographic display, projector, and other various types of devices capable of performing image output functions. It is a concept meaning an image display device in a broad sense including all. Such a display may be in the form of a touch display integrally formed with the touch sensor of the input module.

The communication unit 220 may communicate with an external device. Accordingly, the terminal and/or the server may transmit/receive information with the external device through the communication unit. For example, the terminal and/or the server may communicate with an external device using a communication unit to share information stored and generated in the serving system.

Here, communication, that is, transmission and reception of data may be performed by wire or wireless. To this end, the communication unit includes a wired communication module that accesses the Internet through a LAN (Local Area Network), a mobile communication module that accesses a mobile communication network through a mobile communication base station to transmit and receive data, and a wireless local area network (WLAN) such as Wi-Fi. Area Network)-based communication method or WPAN (Wireless Personal Area Network)-based communication method such as Bluetooth or Zigbee, a short-distance communication module, or GNSS (Global Navigation Satellite System) such as GPS (Global Positioning System) ), or a combination thereof. A wireless communication technology used for communication may include Narrowband Internet of Things (NB-IoT) 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. It is not limited. Additionally or alternatively, a wireless communication technology implemented in a 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 are 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 Type Communication, and/or 7) It may be implemented in at least one of various standards such as LTE M, and is not limited to the above-mentioned names. Additionally or alternatively, a wireless communication technology implemented in a wireless device according to an embodiment of the present invention includes 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. For example, ZigBee technology can generate personal area networks (PANs) related to small/low-power digital communication based on various standards such as IEEE 802.15.4, and can be called various names.

The database 230 may store various types of information. A database may temporarily or semi-permanently store data. For example, the database includes an operating system (OS) for driving a terminal and/or a server, data for hosting a website, or data for a program or application (eg, web application) for generating Braille characters. etc. can be stored. In addition, the database may store the modules in the form of computer code as described above.

Examples of the database 230 include a hard disk drive (HDD), a solid state drive (SSD), a flash memory, a read-only memory (ROM), a random access memory (RAM), and the like. This can be. This database may be provided in a built-in type or a detachable type.

The processor 240 controls overall operations of the server 20, the IoT terminal 40, and/or the IoT robot 50. To this end, the processor 340 may perform calculations and processing of various types of information and may control operations of components of a terminal and/or a server. For example, the processor 240 may execute a program or application for providing an order service. Processor 240 may be implemented as a computer or similar device according to hardware software or a combination thereof. In terms of hardware, the processor 240 may be provided in the form of an electronic circuit that processes electrical signals to perform control functions, and in terms of software, it may be provided in the form of a program that drives the processor 240 in hardware. Meanwhile, in the following description, unless otherwise noted, 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 may be interpreted as controlling the processor 240 to perform the following operations on the terminal and/or the server.

In summary, an embodiment of the present invention may be implemented through a variety of 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 includes one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), and programmable logic devices (PLDs). , field programmable gate arrays (FPGAs), 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 functions or operations described below. For example, software codes 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 by various means known in the art.

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

The server 20 (and/or the 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 delivery when ordering is received. It is possible to set a route and control to match the delivery to the delivery driver through the derived route and information on the delivery driver confirmed through the database 230 .

In addition, since the IoT terminal 40 is equipped with a GPS, the customer can check the current location of the customer terminal (not shown) in real time from the server 20 when ordering, so that the processor 240 can travel from the store to the customer's location. Routes can be created immediately.

In addition, since the delivery driver terminal 70 is also equipped with a GPS and the server 20 can check the location of the delivery driver in real time, 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 route information to the delivery driver terminal 70 located closest to the store.

Therefore, the customer can quickly order and receive the desired food, and when the delivery is completed, the customer confirms the completion of the delivery through the IoT terminal 40, and the delivery cost and the cost for the food are each stored from the amount paid at the time of ordering. and assigned to delivery drivers.

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

Here, since the time required to prepare the food differs according to 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 determines the number of pre-ordered food. The waiting time for allocating additional orders is set by considering the waiting time, the location of the store, and the location of the delivery driver. At this time, if an additional order having a similar delivery route is received within the set waiting time, the processor 240 allocates the additionally ordered 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 considering both the pre-order and the additional order. When the processor 240 derives the delivery route, In this case, delivery routes are set with priority given to pre-orders to prevent delays in delivery time as much as possible.

And, as described above, when one delivery driver delivers multiple meals due to additional orders, the delivery cost can be reduced because the multiple meals are delivered with one delivery. Here, when a customer orders food, both the food cost and the delivery cost are paid through a customer terminal (not shown) and/or the processor 240. When a plurality of foods are delivered by one delivery driver, each food Points are allocated to each customer by subtracting the delivery cost allocated to the actual delivery driver from the total delivery cost paid by the customer who ordered .

For example, if one delivery driver delivers 4 meals at once, each customer pays 2,000 won for delivery, and 4,000 won is allocated to the delivery driver's delivery cost, so the total delivery cost for customers is If you subtract 4,000 won for delivery from 8,000 won, you will allocate 1,000 won as points equally to 4 customers. The points allocated in this way will allow customers to pay for delivery costs when placing future orders, and if multiple deliveries are delivered by a single delivery driver even for future orders, the delivery costs paid with points can also be refunded back to points. You will be able to reduce the delivery cost incurred every time you order food.

On the other hand, in the case of a delivery driver, the basic delivery cost is set at 2,000 won. If additional delivery is made, delivery at the same delivery cost is a loss, so the processor 240 assigns additional delivery to each delivery driver. By allocating an additional amount set for each additional delivery to the basic delivery fee, the delivery driver can also receive a fair price for the additional delivery.

At this time, as described above, the customer may pay both the food cost and delivery cost when ordering, or may proceed with payment when delivery is completed, although not shown in the drawing.

As such, one embodiment of the present invention is from a customer terminal (not shown) and / or IoT terminal 40 through which a customer requests an order through an application, and the customer terminal (not shown) and / or IoT terminal 40 A system consisting of a server 20 that receives an order, a store that receives an order from the server and prepares food, and a delivery driver terminal 70 that receives a delivery order from the server 20 and notifies the delivery driver. suggests

The server 20 includes a database for storing customer information, a database for storing store information, a delivery driver DB for storing information on delivery drivers, a payment module for paying for food and delivery costs when receiving an order, It may consist of a route module for setting a delivery route when receiving an order, and a matching module for matching delivery to a delivery driver through the route derived from the route module and information on the delivery driver confirmed through the delivery driver DB.

The server 20 further includes a delivery support database storing information of customers who support delivery as well as customers, and the matching module includes the route derived from the route module, the delivery driver DB, and the delivery driver confirmed through the delivery support database. Alternatively, you can match deliveries to delivery support customers.

The delivery support database may include a regular movement storage unit for storing information on which customers who support delivery regularly move, and a one-time movement storage unit for intermittent movement.

The periodic 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 who supported the delivery.

The matching module adds additional points according to the location of the store and the customer and the means of transportation when the moving time zone and the moving route are similar among the information of the customer who supported the delivery, but the location of the store and the customer is such that the vehicle can easily move. If possible, give additional points to vehicles if they are on the side of the road, give additional points to motorcycles or bicycles where there are alleys, and add additional points to pedestrians when there are many stairs, so that delivery drivers can be matched.

When receiving an additional order, the matching module determines whether the delivery route derived through the route module is similar to the delivery route of the pre-received order, and when the waiting time set from the reception time of the pre-received order has not elapsed, the same delivery driver may assign additional deliveries to

When an additional delivery of a similar route is allocated to a delivery driver, the payment module may allocate an amount obtained by subtracting the allocated delivery cost from the delivery cost paid by orderers of the corresponding delivery as points that can be used to pay for delivery to each customer. .

The server 20 may further include an advertisement module that transmits advertisement information to the IoT terminal and gives points when the customer views the advertisement. At this time, the advertisement module may further include a taste analysis module to analyze the database to determine preferred food information for each customer and transmit an advertisement related to the preferred food to the customer.

When an additional delivery is allocated from the matching module, the route module may derive an optimal route in consideration of the current delivery driver's location, the pre-accepted delivery route, and the additionally received delivery route.

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

System 10 according to an embodiment of the present invention includes: a server 20 providing business information of one or more restaurant workers; Connected to the server 20 wirelessly, generating customer order information from the business information of the restaurant worker provided by the server 20, and transmitting the generated order information of the customer to the server 20 IoT terminal; A first POS device that is connected to the server 20 by wire or wirelessly, receives the order information of the customer 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 any one selected from the server 20, the first POS device, and a combination thereof, wherein at least one terminal selected from the second POS device is an intermediate terminal below the second POS device. Receiving the order information of the customer transmitted by the IoT terminal according to the setting command of the first POS device, and processing order processing and payment corresponding to the received order information, by the intermediate terminal The order processing corresponding to the received order information is performed by the intermediate terminal at least one terminal selected from among the second POS devices other than the intermediate terminal among the second POS devices - hereinafter referred to as a processing terminal - by the customer. It is performed by transmitting the order information of and the processing terminal processing the 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 order information of the customer transmitted by the IoT terminal through the setting command of the first POS device and causes the intermediate terminal to process the order processing and payment corresponding to the received order information. can

The server 20 provides business information of one or more restaurant workers. In addition, the server 20 may store customer order information transmitted from the IoT terminal 40 . In addition, the server 20 may receive and store 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. The customer's order information or the progress 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 upon request. In other words, the additional first POS device other than the first POS device may be simultaneously connected to the server 20 . The server 20 may be a server that manages one business place or a server that simultaneously manages one or more business places. 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, and the like, 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 status of the business office they manage. Through this, managers of different sales offices can exchange products, raw materials, products, etc. between the sales offices that have entered into mutual cooperation through the server 20 .

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

A process in which the IoT terminal 40 receiving the business information of the restaurant worker transmits the order information of the customer to the server 20 may be performed in various ways.

In one embodiment, the process of the IoT terminal 40 receiving the business information of the restaurant worker and transmitting the order information of the customer to the server 20 is performed by the owner of the first POS device or the second POS device. After directly visiting the customer, the order information may be directly input 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 the restaurant worker and transmitting the order information of the customer to the server 20 is a first POS device or a second POS device having an NFC communication function. It may be carried out by NFC communication between the possessor and the customer's IoT terminal 40 having an NFC communication function.

In another embodiment, a process in which the IoT terminal 40 receives the business information of the restaurant worker and transmits the order information of the customer to the server 20 may be performed through software. The software can provide a smart menu board through which small business owners can publicize their businesses and customers can easily view the information of the small business owners. Customers can easily move to the website of the small business owners through the smart menu board, check the information of the small business owners, and proceed with purchasing products. In addition, the software may provide a social commerce function. Through the functions provided by the software, customers can communicate with several customers who have visited the business space utilizing the remote ordering smart POS system presented in this specification. The business space utilizing the remote ordering smart POS system may be a business space visited by a customer, or may be a business space located at a short distance or a long distance. In addition, customers may negotiate a price with a restaurant worker in relation to products and services they order through the software. In addition, customers can leave visit reviews, usage reviews, etc. on the server 20 through the software. In addition, the restaurant worker may leave event information in the business space of 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 in the IoT terminal 40 through a pre-recognized download path or by looking at a download path suggested by promotional materials disposed at a predetermined location in the restaurant worker's business space. In this case, the software may also provide the information of the server 20 to the IoT terminal 40. The software may be installed in the IoT terminal 40 in the form of an application, for example. The customer may be connected to the server 20 by wire or wirelessly through the software installed in the IoT terminal 40 to receive the business information of the restaurant worker provided by the server 20 . The customer may generate the order information of the customer by utilizing the business information of the restaurant worker received by the IoT terminal 40 and transmit it to the server 20 through the IoT terminal 40 .

As another example, the customer may install the software in the IoT terminal 40 through an NFC tag disposed at a predetermined location in the restaurant worker's business space. In this case, the software may also provide the information of the server 20 to the IoT terminal 40. The NFC tag may provide the software and information of the server 20 to the IoT terminal 40 through Near Field Communication (NFC) communication with the IoT terminal 40 . The customer may be connected to the server 20 by wire or wirelessly through the software installed in the IoT terminal 40 to receive the business information of the restaurant worker provided by the server 20 . The customer may generate the order information of the customer by utilizing the business information of the restaurant worker received by the IoT terminal 40 and transmit it to the server 20 through the IoT terminal 40 . Meanwhile, the NFC tag may include the predetermined location information of the business space of the restaurant worker. The predetermined location information of the restaurant worker's business space may help the server 20 or the first POS device to determine the customer's location. In other words, from the customer's order information transmitted to the server 20 through the IoT terminal 40, the restaurant worker processes the customer's order details. Thereafter, in a process of delivering an order result to a customer, the predetermined location information of the business space of the restaurant worker included in the NFC tag may be utilized. Through this, it is possible to prevent the order results from being delivered to other places, so that the restaurant worker can effectively manage orders.

The first POS device is connected to the server 20 by wire or wirelessly, and receives the order information of the customer transmitted by the IoT terminal 40. Although only one first POS device is shown as an example in the drawings, it is obvious that a plurality of first POS devices may be provided according to the convenience of a restaurant worker. Hereinafter, for convenience of description, as shown in the drawing, a first POS device will be described using one first POS device. It will be obvious that this description does not limit the scope of rights of the remote order smart POS system disclosed in this specification.

The first POS device processes order processing and payment in response to the received order information. In addition, 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. A process in which the first POS device processes order processing and payment in response to the received order information may be performed in various ways.

In one embodiment, the process of processing the order and payment in response to the order information received by the first POS device is the restaurant worker holding the first POS device or the restaurant worker in charge of the business space. This can be done directly by the person in charge. For convenience of description below, the restaurant worker possessing the first POS device or the manager in charge of the business space of the restaurant worker will be referred to as a master. After receiving the customer's order information stored in the server 20, the master may directly deliver the order result to the customer. In this case, the master himself may place an order for the order information directly or may proceed with the order by delivering the order information to the employee. In addition, the master may provide the order information or order progress status to the customer. A detailed description of this can be inferred from the detailed description of the function of the second POS device, so it will be omitted for convenience of description. 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 that those skilled in the art related to the contents disclosed in this specification can easily employ the functions of the second POS device mentioned in the detailed description of the role of the second POS device in the first POS device. . In addition, the master may directly process the payment for the order information. Payment for the order information may proceed in the following process, for example. The master transmits the customer's card information to a card company server (not shown) via 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 information of the customer in a database (DB) stored in the card company server. When the received card information of the customer matches the information of the customer 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 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 "card information of the customer" used in this specification is used as a concept encompassing all known information related to the customer's credit transaction in addition to OTP security information, one-time safe 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 order information of the customer transmitted by the IoT terminal 40. Through this, the first POS device may generate at least one selected from sales data by business period, purchase data, electronic report data to the National Tax Service, and a combination thereof from the received order information of the customer. In addition, the first POS device may check the customer's purchase propensity, 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. generated in the operator's business space with one first POS device. In addition, the first POS device may provide the restaurant worker with information for monitoring tasks assigned by the restaurant worker to the second POS device in real time or with a predetermined time difference. The monitoring information may be stored in the memory of the first POS device or in the memory of the server 20 . The restaurant worker 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, so that work can be effectively managed.

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

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

The NFC tag is disposed at a predetermined location in the business space of the restaurant worker. The NFC tag provides the IoT terminal 40 with the information of the software and server 20 for generating and transmitting the order information of the customer 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 wired or wirelessly connected to any one selected from the server 20, the first POS device, and combinations thereof. In one embodiment, the IoT terminal 40 may transmit the identification number of the customer to the server 20 . The second POS device may receive the identification number of the customer through a conversation with the customer or NFC communication with the IoT terminal 40 . Through this, the second POS device may transmit the received identification number of the customer to the server 20 or the first POS device to receive the order information or order progress of the customer. In other words, the employee holding the second POS device 120 can receive the identification number of the customer from the customer verbally or through NFC communication, if requested or necessary by a customer visiting the business space of the restaurant worker. can It is possible to check order information ordered by the customer by utilizing the received identification number of the customer, and through this, the progress status 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 mobile phone number of the customer. The mobile phone number of the customer may be transferred 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 visiting the business space of the restaurant worker requests or is necessary, the employee holding the second POS device 120 communicates with the IoT terminal 40 occupied by the customer through NFC communication. The predetermined location information in space may be received. It is possible to check order information ordered by the customer by utilizing the predetermined location information of the business space, and through this, the progress status of the order information ordered by the customer can be provided to the customer. The predetermined location information of the business space may be, for example, a seat number of a seat where the customer is seated. The seat number of the customer may be transmitted to the server 20 in a process in which the customer transmits the order information to the server 20 through the IoT terminal 40 .

In another embodiment, the second POS device is disposed at a predetermined location in the restaurant worker's business space and can perform NFC communication with an NFC tag including the predetermined location information of the restaurant worker's business space. there is. The second POS device may receive the predetermined location information of the business space through NFC communication with an 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, the employee holding the second POS device 120 is located at the predetermined location of the restaurant worker's business space occupied by the customer, if requested or necessary by a customer visiting the business space of the restaurant worker. The predetermined location information of the business space may be received through NFC communication with an NFC tag disposed thereon. It is possible to check order information ordered by the customer by utilizing the predetermined location information of the business space, and through this, the progress status of the order information ordered by the customer can be provided to the customer. The predetermined location information of the business space may be, for example, a seat number of a seat where the customer is seated. The seat number of the customer may be transmitted to the server 20 in a process in which the customer transmits the order information to the server 20 through the IoT terminal 40 .

In another embodiment, the role of the second POS device may be assigned according to a setting command of the first POS device. The role may be, for example, distribution of roles for areas occupied by an employee who is a holder of the second POS device. As another example, the role may be a role distribution for tasks performed by the employee who is the owner of the second POS device. The work in charge of the employee may be, for example, production work, delivery work, cooking work, payment work, transportation work, and the like. The above example is an example for understanding, and in addition to the above example, the first POS device may allocate various tasks to the second POS device. The first POS device may transmit the order information of the customer to at least one terminal selected from the second POS devices. Hereinafter, the at least one terminal selected from the second POS devices will be referred to as a first processing terminal. The first processing terminal or the cafeteria attendant of the first processing terminal processes order details according to the order information of the customer transmitted by the first POS device. When processing of the order details is completed, the first processing terminal notifies the first POS device of order processing completion. In this case, the first POS device may notify at least one terminal selected from second POS devices other than the first processing terminal among the second POS devices to deliver the processed order result to the customer. Hereinafter, at least one terminal selected from among the second POS devices other than the first processing terminal among the second POS devices will be referred to as a first delivery terminal. The first delivery terminal or the cafeteria worker of the first delivery terminal may deliver the order result to the customer according to the notification of the first POS device.

By receiving order information through the IoT terminal 40 and processing orders for the order information and delivery of order results through the second POS device having distinct roles, the restaurant worker can maximize work efficiency. Specific details related to this will be described with reference to FIG. 2 .

Among the second POS devices, the first processing terminal is determined as a 2-1 POS device, and the first delivery terminal is determined as a 2-2 POS device. For example, the first POS device may check the order information of the customer stored in the server 20 and transmit the order information to the 2-1 POS device. In this case, the order information of the customer may be transferred to the 2-1 POS device through the first POS device. Alternatively, the order information of the customer 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 order details after receiving the order information of the customer from the server 20 . The 2-1 POS device or the employee possessing the 2-1 POS device processes order details according to the order information transmitted by the 1st POS device. When processing of the order details is completed, the 2-1 POS device notifies the first POS device of order processing completion. The first POS device receiving the order processing completion notification may notify the 2-2 POS device to deliver the order result, which has been processed, to the customer. In this case, information on the order result for which processing has been completed may be delivered to the 2-2 POS device through the first POS device. Alternatively, information on the order result for which processing has been completed may be delivered to the 2-2 POS device through the server 20 . At this time, the first POS device may issue a command to the 2-2 POS device to receive information on the order result processed by the server 20 and deliver the processed order result to the customer. The 2-2 POS device or the employee possessing the 2-2 POS device delivers the order result to the customer according to the delivery information transmitted by the 1st POS device. When the order information of the customer is to be performed by a plurality of employees, the first POS device may transmit the order information to the 2-n POS devices in addition to the 2-1 POS device. Similarly, when the process of delivering the order result is to be performed by a plurality of employees, the first POS device may transmit the delivery information to other second POS devices other than the 2-1 POS device. By dividing the role of the second POS device, the employee who owns the second POS device only needs to process the tasks designated by the first POS device. The restaurant worker can check the tasks assigned to each employee through the first POS device, so that collective management of information such as product sales and order information processing is possible.

In the case of a conventional order management system, order information reception, order processing, delivery of order results, and the like are often directly performed by specific employees. In this case, problems such as a phenomenon in which orders are flocked to a specific employee and an unnecessary waste of time due to a long movement of a specific employee often occur. In addition, in the case of a conventional order management system, there are many cases in which individual employees directly proceed with payment. In this case, employee embezzlement of payments, issuance of cash receipts, and indiscriminate management of small-amount card payment details may cause counter work overload and difficulty in managing sales-related data. In the case of the remote order smart POS system disclosed in this specification, the customer can efficiently manage the order by directly entering the order into the server 20 through the IoT terminal 40. Through this, it is possible to systematically and collectively manage data related to sales in the restaurant worker's business space. In addition, by putting the second POS device under the management of the first POS device, it is possible to prevent unsavory situations such as embezzlement of payments 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 who owns the second POS device and the employee's movement path, that is, the employee's movement, so that work is concentrated on a specific employee. This can prevent unnecessary wastage of time. In addition, the second POS device may be placed under the management of the first POS device, and store management authority, payment authority related to customer payment, and the like may be granted to a specific second POS device if necessary. By granting the first POS device-level authority to some of the second POS devices, the employee possessing the second POS device with the first POS-level authority can manage the store on behalf of the restaurant worker in the absence of the restaurant worker. there is. In addition, in the case of a large store, by having an employee with restaurant worker-level authority, the restaurant worker can efficiently manage the large store together with the employee with restaurant worker-level authority. In addition, 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 may receive information about how its order details are progressing from the server 20 .

In another embodiment, at least one terminal selected from the second POS device receives the order information of the customer transmitted by the IoT terminal 40 according to the setting command of the first POS device, and the received order information It can process the corresponding order processing and payment. Hereinafter, at least one terminal selected from second POS devices that receives the order information of the customer according to the setting command of the first POS device and processes order processing and payment is 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 when the first POS device leaves the restaurant worker's business space. In addition, the intermediate terminal may perform substantially the same role as the first POS device together with the first POS device to promote work convenience of the restaurant worker when the business space of the restaurant worker is wide. In addition, the intermediate terminal may designate the role of the second POS device other than the intermediate terminal according to the setting command of the first POS device. The role may be, for example, distribution of roles for areas occupied by an employee who is a holder of the second POS device. As another example, the role may be a role distribution for tasks performed by the employee who is the owner of the second POS device. The work in charge of the employee may be, for example, production work, delivery work, cooking work, payment work, transportation work, and the like. The above example is an example for understanding, and other than the above example, the intermediate terminal may allocate various tasks to the second POS device within the setting command range of the first POS device. In other words, the intermediate terminal may transmit the order information of the customer to at least one terminal selected from second POS devices other than the intermediate terminal among the second POS devices. Hereinafter, the at least one terminal selected from the remaining second POS devices excluding the intermediate terminal among the second POS devices will be referred to as a second processing terminal. The second processing terminal or the cafeteria attendant of the second processing terminal processes order details according to the order information of the customer transmitted by the intermediate terminal. When processing of the order details is completed, the second processing terminal notifies the intermediate terminal of order processing completion. In this case, the intermediate terminal notifies at least one terminal selected from among the second POS devices other than the intermediate terminal and the second processing terminal to deliver the processed order result to the customer. can Hereinafter, at least one terminal selected from among the second POS devices other than the intermediate terminal and the second processing terminal among the second POS devices will be referred to as a second delivery terminal. The second delivery terminal or a restaurant worker of the second delivery terminal may deliver the order result to the customer according to a notification from the intermediate terminal.

By receiving order information through the IoT terminal 40 and processing orders for the order information and delivery of order results through the second POS device having distinct roles, the restaurant worker can maximize work efficiency. In particular, through the intermediate terminal, a restaurant worker can effectively manage his or her work in a wide business space or in his/her absence.

Among the second POS devices, the intermediate terminal is designated as a 2-n POS device, the second processing terminal is designated as a 2-1 POS device, and the second delivery terminal is designated as a 2-2 POS device. Although only one intermediate terminal is shown as an example in the drawing, it is obvious that a plurality of intermediate terminals may be provided according to the convenience of a restaurant worker. Hereinafter, for convenience of description, as shown in the drawing, it will be described using one 2-n POS device as the intermediate terminal. It will be obvious that this description does not limit the scope of rights of the remote order smart POS system disclosed in this specification.

The 2-n POS device may receive the order information of the customer transmitted by the IoT terminal 40 according to the setting command of the first POS device, and process order processing and payment corresponding to the received order information. . For example, the 2-n POS device may check the order information of the customer stored in the server 20 and transmit the order information to the 2-1 POS device. In this case, the order information of the customer may be transferred to the 2-1 POS device through the 2-n POS device. Alternatively, the order information of the customer 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 order details after receiving the customer's order information from the server 20 . The 2-1 POS device or the employee possessing the 2-1 POS device processes order details according to the order information transmitted by the 2-n POS device. When processing of the order details is completed, the 2-1 POS device notifies the 2-n POS devices of order processing completion. The 2-n POS device receiving the order processing completion notification may notify the 2-2 POS device to deliver the order result, which has been processed, to the customer. In this case, information on the order result for which processing is completed may be transferred to the 2-2 POS device through the 2-n POS device. Alternatively, information on the order result for which processing has been completed may be delivered to the 2-2 POS device through the server 20 . At this time, the 2-n POS device may issue a command to the 2-2 POS device to receive information about the order result processed by the server 20 and then deliver the processed order result to the customer. . The 2-2 POS device or the employee possessing the 2-2 POS device delivers the order result to the customer according to the delivery information transmitted by the 2-n POS device. When the customer's order information is to 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, when the process of delivering the order result is to be performed by a plurality of employees, the 2-n POS device transmits the delivery information to a second POS device (not shown) other than the 2-1 POS device. can By dividing the role of the second POS device, the employee who owns the second POS device only needs to process the tasks specified by the 2-n POS device. Employees authorized by the first POS device can check the tasks assigned to each employee through the 2-n POS device, so that collective management of information such as product sales and order information processing is possible. Afterwards, the restaurant worker receives information from the 2-n POS device and collectively 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 in charge of the restaurant worker among large business spaces. can do. Since the payment process through the 2-n POS device is substantially the same as the payment process through the first POS device, a detailed description thereof will be omitted for convenience of description.

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

The implementation method of the system 10 according to an embodiment of the present invention is: When an IoT terminal is delivered from a delivery company, it is delivered along with a delivery order for an accompanying delivery menu, which is an order menu of another orderer within a set delivery available distance. Delivery order request process of requesting delivery to the server by selecting a customer menu that can be selected; Delivery in which the server transmits, to the delivery driver terminal, an order request message in which the accompanying delivery menu and accompanying delivery address requested from the other orderer, the orderer menu and the orderer's delivery address requested from the IoT terminal are made into 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, and the orderer's menu and orderer's delivery address as a single delivery order. The process includes: a location information registration process of registering the location information of the IoT terminal to the server as a delivery address of the orderer; a process of transmitting a customer menu, which is an order menu, from an orderer and transmitting the orderer menu to the server; a reception standby process of waiting to receive a list of delivery companies that can deliver orderer menus from the server for a set waiting time; a delivery company display process of displaying a list of received delivery companies when a delivery company capable of delivering the orderer menu is received from the server; and ordering a customer menu ordering process of receiving a delivery company selected from the orderer from the list of delivery companies and transmitting the orderer menu together with the orderer menu to the server, wherein the delivery order relaying process includes: the orderer from the IoT terminal by the orderer menu transmission process. When the menu is received, a delivery company search process of searching whether there is a delivery company that has received an order for an accompanying delivery menu that allows a single delivery order together with the orderer's menu; When a delivery company is found, a first delivery company list transmission step of transmitting the searched delivery company list to the IoT terminal; If the delivery company is not found, the list of delivery companies that can receive orders from other orderers and deliver orders by registering the orderer menu as a standby candidate and waiting for orders from other orderers that can be delivered together with the orderer menu during the waiting time is displayed as the IoT a process of transmitting a second list of delivery companies to the terminal; and sending an order request message to a delivery driver's terminal by making the orderer's menu and delivery address ordered by the orderer's menu ordering process, and the accompanying delivery menu and accompanying delivery address that can be delivered together with the orderer's menu, into a single delivery order. and a process of transmitting an order request message, wherein the process of searching for a delivery company is a process of searching for a delivery company that has received an order for an accompanying delivery menu that can be delivered together with the orderer menu among delivery companies within the deliverable distance, a screen view selection process of displaying a standby orderer menu ordered by another orderer on standby on the IoT terminal through screen view selection before transmission of the orderer menu after the location information registration process; It may be characterized in that it further includes.

When delivery is made by a delivery company, the IoT terminal 40 receives an orderer menu that can be delivered together with a delivery order for an accompanying delivery menu, which is an order menu of another orderer within a set deliverable distance, and sends a delivery request to the server 20. can proceed

In addition, the IoT terminal 40 (and/or the server 20) may register location information of the IoT terminal 40 with the server 20 as an orderer delivery address. 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 may receive an orderer menu, which is an ordering 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 a minimum order unit, and is a menu that can partially order food even if it is not a single chicken, such as half a chicken or two chicken legs. The orderer menu input in this way is transmitted to the server 20 .

After the orderer menu is transmitted, the IoT terminal 40 may wait to receive a list of delivery companies capable of delivering the orderer menu from the server 20 for a set waiting time. That is, it waits for the waiting time to receive the list of delivery companies that have received an order for an accompanying delivery menu that can be delivered along with the orderer's menu. This waiting time is a time that the orderer can set, and may correspond to, for example, 3 minutes, 5 minutes, 10 minutes, 15 minutes, and the like. After waiting for reception, if the list of delivery companies that can deliver the orderer's menu is not received during the waiting time, the order for the orderer's menu can be canceled or extended.

On the other hand, when a delivery company capable of delivering orderer menus is received from the server 20, the IoT terminal 40 may display a list of the received delivery companies.

In the process of displaying delivery companies, the delivery companies may be sorted in order of short delivery distance or the order of longest waiting time.

For example, the distance from the first delivery company to the orderer delivery address of the first orderer, delivery to the accompanying delivery address of another second orderer, and return to the first delivery company is 24 [km]. In addition, the distance from the second delivery company to the orderer delivery address of the first orderer, delivery to the accompanying delivery address, which is the address of the other second orderer, and return to the second delivery company is 20 [km]. When it is said, the second delivery company is displayed first and the first delivery company is displayed later.

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

Meanwhile, in the above, without the orderer menu transmission process, all order lists waiting for the accompanying orderer may be called in real time, and the orderer may select and order a desired menu from among them. There may be cases among orderers who are thinking about what to eat, but in this case, rather than going through the menu selection process, it is to see the order that is currently waiting and order immediately if there is an order that they like.

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

Further, the IoT terminal 40 has a process of displaying a waiting orderer menu, which is a menu that can be matched, when a request is received from an orderer to display a waiting orderer menu ordered by another waiting orderer through screen view selection. That is, among all menus (chicken, pizza, sweet and sour pork, etc.), a waiting orderer menu that can be matched immediately is displayed. For example, half a bulgogi pizza, half sweet and sour pork, half seasoned chicken, half fried chicken, etc. The orderer menu is displayed as a matchable menu.

In displaying such a standby orderer menu, it may have a filter function so that the user can see only the menus he or she wants to see, such as chicken or fried chicken.

When the IoT terminal 40 receives a delivery company capable of delivering the orderer menu selected from the orderer from the standby orderer menu after selection of the desired menu, the delivery company display process of displaying the list of received delivery companies have

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

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

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

The delivery order relay process may include a process of searching for a delivery company, a process of transmitting a first list of delivery companies, a process of transmitting a second list of delivery companies, and a process of transmitting an order request message.

In the delivery company search process, when the orderer menu is received from the IoT terminal 40 through the orderer menu transmission process, 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 together with the orderer menu. have For example, when the first orderer orders half soy sauce chicken as an orderer's menu, it is searched for a delivery company with another orderer who ordered half soy sauce chicken as an accompanying delivery menu. In this delivery company search process, a delivery company that has received an order for an accompanying delivery menu that can be delivered together with the orderer's menu is searched among delivery companies within a delivery available distance.

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

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

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

Meanwhile, when a delivery company is found as a result of the search, a first delivery company list transmission process of transmitting the searched delivery company list to the IoT terminal 40 is performed.

When the orderer searches for a delivery company with a matchable orderer, a list of delivery companies capable of real-time matching delivery is generated in order of shortest total delivery distance and provided to the IoT terminal 40 . This is to be used when priority is given to quick matching rather than menu selection. For example, the first orderer and the second orderer can match and request delivery to the first delivery company. At this time, the total delivery distance is 20 [km], and the first orderer and the third orderer are matched to the second delivery company. In this case, if the total delivery distance is 18 [km], the second delivery company may be displayed at the top of the screen of the IoT terminal 40.

On the other hand, if no delivery company is found in the search results, the list of delivery companies that can receive orders from other orderers and deliver them by registering the orderer's menu as a standby candidate and waiting for orders from other orderers that can be delivered along with the orderer's menu during the waiting time may have a process of transmitting the second list of delivery companies to the IoT terminal 40.

You can wait for orders from other orderers who can match during the waiting time set in advance for matching (eg, within 5 minutes), and if matching is not possible during the waiting time, you can decide whether to place an order without matching or cancel the order. can be set

When trying to order, by selecting several desired menus, it is possible to easily 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 one particular menu, but do not mind eating any of several, to compensate for the case where there are no other consumers who want matching in real time when ordering, which is a disadvantage of this system. can

In addition, by not selecting a desired menu when attempting to order, it is possible to match each menu with various other orderers who have attempted to order. This increases the probability of matching for consumers who do not want to eat one particular menu, but do not mind eating any of several, to compensate for the case where there are no other consumers who want matching in real time when ordering, which is a disadvantage of this system. can

On the other hand, if the delivery company list is transmitted as described above, 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 are made into a single delivery order It has an order request message transmission process of transmitting the order request message to the delivery driver terminal 70 .

Accordingly, the delivery driver terminal 70 displays the received server 20 so that the delivery company can order and deliver.

To this end, the delivery driver terminal 70 has a delivery order display process of receiving the order request message and displaying the accompanying delivery menu and accompanying delivery address, the orderer's menu and the orderer's delivery address as a single delivery order.

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

Then, the delivery driver terminal 70 has a process of registering delivery area information. This is because delivery companies must be able to register areas where delivery is possible.

There may be two methods of regional registration. The first is to limit the address to a specific address based on the address. For example, it is designated up to Gwanak-gu, Seoul, Buksu-ri, Gwanak-gu, Seoul, or 1 to 300 Buksu-ri, Gwanak-gu, Seoul for registration. Another method is to register based on the round-trip delivery distance, and can be registered by designating, for example, 'round-trip 10 [km]'.

Registration settings of these two delivery areas may be set only one or both may be set according to the company's judgment. For reference, in the process of transmitting the delivery company list, the orderer must be in a delivery area.

Thereafter, when receiving a delivery order request message from the server 20, it is determined whether or not the delivery order is approved, and when approved by the delivery company manager, a delivery order order is output 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 it to the IoT terminal 40.

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

Hereinafter, an embodiment of the present invention will be described in more detail based on the above technical idea. One embodiment of the present invention described below may be combined in whole or in part to constitute another embodiment of the present invention unless mutually exclusive, which will be clear to those skilled in the art. 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, and terms not defined in an embodiment of the present invention described below may be performed and described 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 one embodiment of the present invention, more than/more than A may be replaced with more than/more than A.

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

Unless specifically stated otherwise, in the description of an embodiment of the present invention, a menu is an item that is sold/provided and/or can be sold/provided at a store where the order service providing method according to an embodiment of the present invention is implemented. and/or services. For example, in the case of a coffee shop, one or more of the beverages (eg, Americano, cafe latte, espresso, cold brew, ade, herbal tea, etc.) and/or other desserts served at the coffee shop may be on the menu. there is. For example, in the case of a restaurant, one or more types of food sold/provided by the corresponding 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 affiliate stores subscribed to a service and/or service platform related to the order service providing method according to an embodiment of the present invention can do. For example, an IoT terminal 40 may be installed/provided in a store, but an embodiment of the present invention is not limited thereto, and a service and/or service related to an order service providing method according to an embodiment of the present invention Any store that has joined the platform and receives a service request/order request by an external IoT terminal 40 may be included.

Hereinafter, an IoT terminal and an internet of things (IoT) 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 performing similar functions are also described. can be a terminal.

Hereinafter, a server according to an implementation example of the server 20 according to an embodiment of the present invention is described, but other devices performing similar functions may also be servers.

For example, the terminal/server may be 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 a Mobile Broadband System (MBS) phone, a smart phone, or a Multi Mode-Multi Band (MM-MB) terminal. Alternatively, the terminal/server may be a PC, notebook PC, hand-held PC, tablet PC, ultrabook, slate PC, digital broadcasting terminal, PMP (portable multimedia player) ), navigation, a wearable device (eg, a watch type terminal (smartwatch), a glass type terminal (smart glass), a head mounted display (HMD), etc. For example, a drone is a wireless device without a human being) It may be an air vehicle that flies by a control signal.For example, the HMD may be a display device worn on the head.For example, the HMD may be used to implement VR or AR.

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

2.1. service delivery behavior

In the following description, an embodiment of the present invention has been described on the premise that the server 20 that has obtained service request information from the IoT terminal 40 performs an operation related to a response to the service request information, but one embodiment of the present invention According to the embodiment, the IoT terminal 40 that has obtained 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 one server 20 and/or IoT terminal 40 directly obtains service request information (eg, directly input from a user), Actions related to the response may be performed. 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 between the plurality of IoT terminals 40 and/or the plurality of servers 20 Operations related to transmission/reception of service request information and response to service request information may be distributed for each operation and separately performed.

3 is a block diagram of an IoT robot according to an embodiment of the present invention, and FIG. 4 is a diagram illustrating a method of measuring a surface inclination 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 communication with an external device, a drive unit 320 for position movement of the IoT robot 50, food cooked in the kitchen (and/or a storage unit 330 capable of storing dishes and other items), an infrared sensor unit 340 provided on the inside 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, other tableware, etc.).

On the other hand, the IoT robot 50 described in the present invention includes a weight sensor (not shown) for detecting the weight of cooked food and a container containing the food, and/or an alarm unit (not shown) for generating an alarm with light or sound. can include more. The weight sensor may be interpolated (and/or installed) in the lower part of the housing 330 . Also, the weight sensor may correspond to a piezoelectric sensor. In this case, the piezoelectric sensor may include a device that converts changes in pressure, acceleration, temperature, deformation, and/or force into electric charge using a piezoelectric effect and measures the change. However, it is not limited thereto, and various sensors capable of measuring weight may be used as the weight sensor.

The weight sensor of the IoT robot 50 may detect the weight of an object placed inside the storage unit 330 . The weight sensor may measure a physical quantity (eg, weight) by converting an applied pressure, force, or the like into an electrical signal when an object is accommodated in the storage unit 330 . Here, the method of storing the object may be performed by a method in which an employee present in the store puts the object into the storage unit 330 of the IoT robot 50.

A weight sensor (not shown) of the IoT robot 50 may detect the weight of an object and transmit an accommodation signal of the object to the processor 360 . For example, the accommodation signal of the object may include weight information of the object (eg, food 500g, bowl 800g) and food information included in the object. In this case, 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 . The customer order information may include the food ordered by the customer, the time at which the order was requested, the table number and location at which 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 table layout of the store.

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

Referring to (a) of FIG. 4 , the infrared emitting unit may emit infrared rays in parallel at regular intervals. In addition, the time of receiving the infrared light emitting signal 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 distances from the infrared sensor to a plurality of points on the surface of the food included in the object. A plurality of points may mean a plurality of points located on the surface of the food. For example, the infrared sensor unit 340 emits infrared rays with respect to 100 points located on the surface of the food, detects the reflected infrared rays, and measures the distance from the infrared sensor unit 340 to the corresponding points for each 100 points. can be calculated for each point. A plurality of points at which the infrared sensor unit 340 measures the distance may correspond to 100 points, but the number of points is not limited thereto.

The processor 360 may determine whether broth is included in the food stored in the storage unit 330 based on the customer order information. For example, when it is judged as a soup-type food that includes soup, the food ordered by the customer is 'gopchang hot pot', 'budae stew', 'seafood ramen', 'rice noodles', 'kimchi stew', and It may be a case of 'soybean paste stew'. In addition, when the food is determined as non-soup food, the food ordered by the customer may correspond to 'tofu kimchi', 'cream risotto', 'pad Thai', 'bibimbap', and the like.

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

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

When the food included in the object is determined to be non-soup food, the processor 360 may calculate the degree of dispersion of the object in real time. For example, when food is put 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, the dispersion of food can be calculated in real time. When calculating the degree of dispersion of food, the infrared sensor unit 340 measures the distance to a plurality of points located within a predetermined radial distance from the center of the object, and measures the distance of the food based on the measured distance to the plurality of points. Dispersion can be calculated.

The processor 360 may adjust the moving speed of the driver 320 based on the surface inclination of the object or the dispersion of food. Specifically, when the food included in the object is soup, the processor 360 may control the moving speed of the IoT robot 50 based on the surface gradient of the food. When the food included in the object is non-soup type, the processor 360 may control the moving 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 containing the bowl. Through this process, customer 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 in the storage unit 330 of the IoT robot 50, a method of calculating the gradient of food included in the object will be described in detail. 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 emission signal from the processor 360 (S004) and emit infrared light toward an object (S005). As shown in (a) of FIG. 4, before the IoT robot 50 moves, the surface gradient of the food included in the object may converge to 0.

At this time, the method for the infrared sensor unit 340 to calculate the surface inclination of the food is that the infrared sensor unit 340 emits infrared light toward a plurality of points, detects the reflected infrared rays, and detects the reflected infrared rays from the infrared sensor to the plurality of points. 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 nearest point and the farthest point from the infrared sensor unit 340 among the measured distances for each of the plurality of points. The closest point may correspond to a point where the surface of the food is the highest. Further, the farthest point may correspond to a point where the height of the food surface is lowest.

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

The processor 360 may determine whether the food stored in the container 330 is a soup category or a non-soup category by considering the surface heights of the plurality of foods. For example, the processor 360 may identify the highest food surface height and the lowest food surface height among the plurality of food surface heights, and the highest food surface height (eg, the height of the highest food point B). ) and the lowest food surface height (eg, the height of the lowest point C), the slope of the surface of the food stored in the storage unit 330 (ie, the surface of the food) may be calculated. For example, the processor 360 determines that the food stored in the storage unit 330 is non-soup food when the inclination of the surface of the food exceeds a preset food surface inclination criterion, and the inclination of the food surface is the preset food surface inclination criterion. If the surface slope of the food is less than or equal to the criterion, the food stored in the storage unit 330 may be determined 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 the IoT robot 50, the information and the processor 360 If the matched (matched) ratio is lower than a predetermined threshold ratio, the preset food surface inclination criterion may be reset or a message requesting resetting of the preset food surface inclination criterion may be transmitted to the server 20.

Next, the processor 360 determines the highest point of food (B) and The slope when the point (C) with the lowest height 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 may receive distance information on a plurality of points from the infrared sensor unit 340 in real time, and based on the received distance information, may calculate the slope of the surface of the food included in the object in real time.

Figure 4 (b) shows the appearance of the object in a state where the IoT robot 50 accelerates and moves (rightward). In one embodiment, the processor 360 may reduce the moving speed of the driving unit 320 when the slope of the surface of the food exceeds a predetermined reference value.

Specifically, as shown in (b) of FIG. 4, since the surface of the food is inclined downward to the right, the processor 360 interprets the slope of the surface of the food as having a negative slope. can do. At this time, if the slope of the analyzed surface of the food corresponds to a predetermined reference 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 first predetermined slope. . The processor 360 analyzes the moving speed of the driving unit 320, the slope of the surface of the food (eg, -30), the pre-stored weight of the IoT robot 50, the weight of the object measured through the weight sensor, the current It can be determined based on the moving 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 the set second slope. The processor 360 analyzes the moving speed of the drive unit 320, the slope of the surface of the food (eg, +45), the pre-stored weight of the IoT robot 50, the weight of the object measured through the weight sensor, the current It can be determined based on the moving 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 moving speed based on the inclination of the surface of the food. In addition, the contents of the food included in the object can be quickly delivered to the customer without spilling on the tray, and the customer's service satisfaction can be improved.

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

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

7 is a diagram illustrating an example of a method of operating a server according to an embodiment of the present invention.

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

According to an embodiment of the present invention, the service request may include a customer identifier (ID) (or user ID). According to an embodiment of the present invention, the customer ID may be identification information on an IoT terminal and/or a user/customer using the IoT terminal and/or a user/customer subscribed to a service providing platform operated by a server. According to an embodiment of the present invention, different customer ID information may be assigned to IoT terminals and/or users/customers using the IoT terminals and/or users/customers subscribed to a service providing platform operated by a server. . According to an embodiment of the present invention, customer ID information is understood as information requesting an IoT terminal to provide a service/menu through a service providing platform to a server and/or providing a service/menu through a service providing platform. Corresponding to information requesting service and/or included in information requesting service/menu provision through service provision platform and/or information requesting provision of service/menu through service provision platform may be transmitted in addition to and/or separately from

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

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

According to an embodiment of the present invention, customer information may be information about a customer corresponding to a customer ID. According to an embodiment of the present invention, different customer ID information may be assigned to IoT terminals and/or users/customers using IoT terminals and/or users/customers subscribed to a service providing platform operated by a server. According to an embodiment of the present invention, customer information corresponding to each user/customer subscribed to a service providing platform operated by an IoT terminal and/or a user/customer using the IoT terminal and/or a server is classified and stored by customer ID. and customer information can be searched/obtained based on the customer ID. For example, customer information corresponding to a customer ID included in service request information may be obtained. For example, 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.

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

According to an embodiment of the present invention, customer information and store information may be obtained based on a database. According to an embodiment of the present invention, customer information of each of a plurality of customers may be classified and stored according to a plurality of customer IDs for identifying each of a plurality of customers. According to an embodiment of the present invention, store information of 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 an embodiment of the present invention, the server acquires store information corresponding to the store ID based on searching the database according to the store ID, which is identification information of the store to which the 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 other than customer information and store information. For example, the other information may include the time zone at which the service request information is received (eg, the number of time zones including the time point at which the service request information is received among a plurality of time zones in which a predetermined total time interval is divided into a predetermined time size) Yes, for example, but not limited to morning/afternoon/evening (for example, it can be used to identify popular menus corresponding to that time period), when service request information was received and/or service Weather and/or expected weather at an expected service provision time point obtainable based on the time the request information is received (eg, the time when the average time required for the menu to be provided is added from the time the service request information is received) For example, it may include information about sunny, cloudy, rain, showers, lightning, snow, hail, etc. For example, it may be used to identify popular menus corresponding to corresponding weather and/or expected weather.

According to an embodiment of the present invention, the server transforms input information including at least one of customer information, store information, or other information into a recommendation model (eg, matrix transformation), and the recommendation model inputs the input information, Based on the output thereof, a recommended menu list may 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 a customer corresponding to a customer ID included in service request information among a plurality of customers may be obtained. there is.

According to one embodiment of the present invention, the customer's estimated preference and/or the one or more first attribute values related to the customer's estimated preference may include a plurality of stores including a store corresponding to a store ID included in the service request information (eg, For example, among all stores operated/controlled by the server and/or all stores operated/controlled by the server, stores of the same type as the store corresponding to the store ID (eg, store corresponding to the store ID) In the case of this restaurant, the restaurant can be selected from among all stores operated/controlled by the server. As another example, a store corresponding to a 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 can be selected) and / or 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 among all affiliated stores/all stores and/or all stores/all stores affiliated with the service platform according to an embodiment of the present invention) Can be assigned to each of the menus of.

According to an 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 by a store corresponding to a store ID included in service request information among a plurality of stores.

According to an 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 one 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 a store corresponding to a store ID included in the service request information among a plurality of stores. It may include one or more menus selected from among 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/real number value of 0 or more, and can be understood as an evaluation score/evaluation value representing a level of similarity between one or more first attribute values and one or more second attribute values. can For example, high (or low) similarities may be understood according to ascending (and/or descending) similarity scores. For example, when the similarity score is 0, it may be understood as having the highest (or lowest) similarity. For example, a similarity score may be obtained based on a difference 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 may be a similarity score. As another example, the similarity score may be determined based on a weight value and a difference value between one or more first attribute values and one or more second attribute values. For example, a value obtained by multiplying (or dividing) and/or adding (or subtracting) a weight value to a difference value between one or more first attribute values and one or more second attribute values may be a similarity score. For example, the weight value may be obtained for each of one or more second attribute values, and may be obtained based on one or more of 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 in a plurality of stores including a store corresponding to a 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 a menu corresponding to the value is not provided in a store corresponding to a store ID included in the service request information.

According to an embodiment of the present invention, when a value matching the first value among one or more first attribute values (corresponding to the case where the degree of similarity is highest) is included in one or more second attribute values, the value corresponding to the first value This may be a case where the menu is provided in the store. According to one embodiment of the present invention, in this case, the recommended menu list may include a menu corresponding to the first value. According to an embodiment of the present invention, in this case, even if the recommendation menu list does not match the first value, the first value is similar to the first value among one or more second attribute values (eg, a similarity score equal to or lower than a predetermined threshold value). If it has), a menu corresponding to the value may be included in the recommended menu list.

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

According to one embodiment of the present invention, the attribute value including one or more first attribute values and one or more second attribute values is an attribute value table defined by a menu property and a level of the menu property. It can be acquired/allocated 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 stores corresponding to store IDs and/or the types of a plurality of menus that can be provided by the plurality of stores are predefined/configured. / can be provided. According to an embodiment of the present invention, a separate attribute value table may be defined/set/prepared according to the type of menu property.

For example, for an attribute value table for restaurants, type of food and/or 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 bar, franchise family restaurant, etc.), specific tastes (eg, may include sub-items such as sweet, salty, spicy, bitter, astringent, umami), etc. and/or the type of property of the menu). For example, the degree of preference/conformity for each type of food and/or type of restaurant and/or preference/conformity for a specific taste may correspond to the degree of the nature of the menu. For example, the degree of a property of a menu may be expressed as an integer/real number value of 0 or more, and may be interpreted as a preference higher 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 shown in Table 1.

Referring to Table 1, according to an embodiment of the present invention, XX1 may be assigned/assigned to an attribute value table and may be an attribute value table ID for classifying/distinguishing/identifying the attribute value table. According to one embodiment of the present invention, the attribute value table may be separately defined/set/prepared according to the type of menu property, and may 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 nature of each menu. According to an embodiment of the present invention, 0, 1, 2, etc. may represent the preference/consistent degree for each A, B, and C. For example, the maximum value of preference may be commonly defined for each sub-item and/or different maximum values may be defined for each sub-item. For example, the maximum value of preference/consistency corresponding to A is 4, the maximum value of preference/consistency corresponding to B is 4, and the maximum value of preference/consistency corresponding to C is 2.

According to one embodiment of the present invention, the attribute value table may be used for assignment/interpretation of attribute values. For example, if a specific menu corresponds to the degree of property A being 2, the degree of property B being 3, and the degree of property C being 1, the specific menu has A2B3C1 (and/or bit value corresponding to A2B3C1) as the attribute can be assigned a value. As another example, when A2B3C1 is assigned to a specific menu, it may be interpreted that the specific menu corresponds to a property A having a degree of 2, a property B having a degree of 3, and a property C having a degree 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/audible information that can be output from an output unit of an IoT terminal. For example, when the recommended menu list includes visual information, the server may determine the display position and/or display time at which the recommendation menu list is to be displayed on the display unit included in the output unit of the IoT terminal. For example, a preset/defined template may be used to determine an expression position. For example, the pre-set/defined template predetermines the location on the screen displayed on the display unit of each piece of information included in visual information for providing service in a store, including visual information corresponding to a recommended menu list. it may be As another example, the position on the screen displayed on the display unit of each information included in the visual information for providing service in the store, including the visual information corresponding to the recommended menu list, is an application running in the IoT terminal. ) may be determined by For example, the application may determine each position of visual information for service provision in a store provided from a server by using a preset/stored 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 an embodiment of the present invention, the IoT terminal may include not only a recommended menu list, but also a list of all menus that can be provided from a store corresponding to a store ID (recommended menu list may be included, and menus included in the recommended menu list may include other menus). may be displayed prior to the menu and/or highlighted) may be provided. According to an embodiment of the present invention, the IoT terminal may transmit information requesting a menu 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 recommendation menu list obtained/generated from the recommendation model is inaccurate, and information for requesting menus not included in the recommendation menu list to increase the accuracy of the recommendation model. Feedback information on the recommendation model may be acquired/generated from and the recommendation model may be fed back/updated using this.

According to one embodiment of the present invention, the server may obtain feedback information on the recommendation menu list in another method. For example, feedback information may be collected in the form of sympathy (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. Also, 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 that is not included in the recommended media content list to increase the accuracy of the media content recommendation model. Feedback information on the media content recommendation model may be obtained/generated from the information to be used, and the media content recommendation model may be fed back/updated using the feedback information. According to an embodiment of the present invention, the server may update a recommendation model using feedback information.

According to an embodiment of the present invention, the server may remove noise included in feedback information. For example, the feedback information may include various contents (eg, comments or small talk) other than evaluation of the recommended menu list itself. Accordingly, the server can remove such noises from the feedback information and obtain only feedback including evaluation information on the recommendation menu list itself.

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

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

Although the IoT terminal and the IoT device are shown separately in FIG. 8, this is exemplary and the IoT terminal may be included in the IoT device.

In FIG. 8, each of a server, IoT terminal, POS (POS device), IoT robot, IoT device, and middleware is shown, but this is exemplary and a plurality of servers, a plurality of IoT terminals, a plurality of POS, a plurality of middleware IoT robots, a plurality of IoT devices, and/or a plurality of middleware may be included in the system. For example, one or more servers may be distinguished by being assigned different server IDs. For example, one or more devices may be distinguished by being assigned different IoT terminal IDs. For example, one or more POSs may be distinguished by being assigned different POS IDs. For example, one or more IoT robots may be distinguished by being assigned different IoT robot IDs. For example, one or more middlewares may be distinguished by being assigned different middleware IDs. For example, each ID may be mutually transmitted and received according to wired/wireless communication between devices included in the system (including communication via a server as well as direct communication between devices).

According to one embodiment of the present invention, the server, IoT terminal, POS, IoT robot, IoT device and / or middleware may be installed / provided / included in 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 an embodiment of the present invention, the server includes other devices (eg, one or more IoT terminals, one or more POS, one or more IoT robots, one or more IoT devices, and one or more middleware) included in a system that operates a service platform. ) and is wired or wirelessly connected to communicate with and/or control other devices (eg, the server can transmit control information for controlling/commanding specific operations to other devices). can According to an embodiment of the present invention, the server may be a plurality of servers that perform different functions and communicate with each other by wire or wirelessly, or may be one server including a plurality of modules that perform different functions. For example, the plurality of servers may include a database (DB) server, a remote dictionary server (REDIS), and a message queue (MQ) server. For example, the DB server may perform data collection and analysis, acquisition/operation of a recommendation model, and the like. For example, REDIS can exchange information with IoT terminals and operate API (Application Programming Interface) (eg, create/transmit information for applications running in IoT terminals). For example, REDIS and/or MQ servers can operate/control other devices included in the system. As an opposite example, the operation/role of each server can be understood as the operation of modules included in one server. For example, each of the modules may be a plurality of processors included in the server and/or a plurality of software executed on one processor included in the server.

(1) According to an embodiment of the present invention, the server may 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 an IoT terminal transmitting the service request information.

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

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

(4) According to one embodiment of the present invention, the server (a control module included in) controls one or more of the other devices included in the system to perform an operation of providing a service related to providing one or more menus. can do. For example, the server generates a command for controlling one or more of the other devices included in the system, and sends the command to one or more of the other devices to perform an operation of providing a service related to providing one or more menus. Can send/forward. According to an embodiment of the present invention, a device receiving a command may perform an operation of providing a corresponding service.

According to an embodiment of the present invention, the IoT terminal may be installed/prepared to be detachable at a predetermined location in the store (eg, each table in the store). According to an embodiment of the present invention, an IoT terminal may provide a user interface for providing a service to a customer based on a pre-installed application and/or information provided from a server.

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

Although a user interface based on a Korean language is illustrated in FIG. 9 , a user interface based on a plurality of languages (English, Japanese, Chinese, Arabic, Spanish, Italian, etc.) may be provided according to an embodiment of the present invention. An icon may be displayed on one or more of the first area 701 to the fourth area 707 of the display unit.

Referring to FIG. 9 , according to an embodiment of the present invention, an IoT terminal may provide a user interface based on visual information through a display unit. However, an embodiment of the present invention is not limited thereto, and a user interface based on auditory information may be provided. For example, an IoT terminal may obtain 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 described in FIG. 2 All input methods obtainable from the unit may be applied.

According to an embodiment of the present invention, a symbol representing a 'main item', text, video, image, or other visual information may be displayed on the first area 701 of the display unit. For example, the first area 701 of the display unit may display characters such as 'main menu', 'add sari', and 'air rice', and for the selected 'main menu' item, corresponding visual information and/or A background including visual information may be highlighted in a different color or the like. The highlighting of the selected item may apply generally to one embodiment of the present invention.

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

According to one embodiment of the present invention, in the second region 703 of the display unit, a symbol representing a 'sub item' included in a selected item among items displayed in a 'main item', text, video, image, or other visual information, etc. this can be displayed. For example, the sub-items included in the selected 'main menu', such as 'main snack', 'special snack', 'basic snack', '1,000 won for main order', 'liquor', and 'drink' may be displayed. In addition, for the selected 'main snack' item, the corresponding visual information and/or the background including the visual information may be highlighted in a different color or the like.

According to an embodiment of the present invention, a menu included in the selected sub-item may be displayed on the third area 705 of the display unit. According to one embodiment of the present invention, the menu displayed on the third area 705 corresponds to a picture of each menu, a configuration example, a name, a price, and a highlight display such as 'Best' and 'Hit' in the case of a popular menu. It may be based on symbols, text, images, images or other visual information that is used. According to one embodiment of the present invention, the information on the menu displayed in the third region 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 separately displayed and/or given a separate highlight mark and/or preferentially arranged from the upper left corner of the third region 705 .

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

According to an embodiment of the present invention, the advertisement message may include symbols, texts, images, images, or other visual information (character 'A' in FIG. 9 and corresponding pictures, prices, etc.). According to an embodiment of the present invention, the advertisement message may be transmitted from the server to the IoT terminal. According to an embodiment of the present invention, the server determines the type of corresponding store (eg, industry type, type of product/article provided in the store, etc.) and/or menus available in the corresponding store (eg, corresponding store At least some of the available menus may be advertised), customer information, and menus selected/requested by the customer (eg, menus presumed/identified to match the menus selected/requested by the customer may be advertised. For example, For example, in estimating/identifying a menu that is estimated/identified to match 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 corresponding store An advertisement message may be generated based on one or more of order data from a plurality of stores including. According to an embodiment of the present invention, advertising revenue based on advertising messages may be paid back from advertisers to store owners.

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

For example, a sign, text, video, image, or other visual information indicating 'subscribing' may be displayed on the fourth area 707 of the display unit so that the customer can subscribe to the service platform.

For example, an icon for providing another previously linked service may be displayed on the fourth area 707 of the display unit. For example, in order to provide a service through a designated driver service company associated with a store and/or server in advance, a sign, text, video, image, or other visual information indicating 'driver service' may be provided. For example, if the provision of other services linked in advance is requested from the customer, the server provides the customer's information and/or store location information and/or other information (for example, in the case of a chauffeur service, the arrival location requested by the customer). Information) can be forwarded to a company that provides other related services in advance. For example, if provision of another service linked in advance is requested from the customer, the server may provide the customer with a discount coupon usable for using the other service linked in advance.

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

Referring back to FIG. 8 , according to an 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, the POS can be used to collect and process all sales information in real time and comprehensively analyze and evaluate information for each part. According to an embodiment of the present invention, the POS can check and manage the operation status of the store in real time through wired/wireless communication, and can collect, transmit and receive data such as system maintenance and real-time sales.

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

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

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

According to one embodiment of the present invention, the serving robot (and / or IoT robot 50) is a menu (and / or customer requested to the customer and / or the table where the customer is seated) based on the control command and / or control information. Goods or services corresponding to the requested menu) and/or other goods (and/or services) (eg, items related to service provision, such as spoons, chopsticks, water, and wet towels) may be delivered. According to one embodiment of the present invention, the serving robot is one of table movement, distance, location, requested menu, items necessary for provision of services, and/or the order of providing items based on control commands and/or control information. An abnormality can be determined, and based on this, the requested menu and/or other items can be delivered.

For example, an IoT terminal can be installed/prepared (separably) in each table, and the number/position of each table can be confirmed/identified based on the ID given to the IoT terminal, which is useful for IoT robot control. can be utilized For example, when a plurality of serving robots are included in a store, the serving robot that will perform an operation of delivering a menu and/or other items requested to a customer and/or a table where the customer is seated is an IoT terminal and a plurality of serving robots. It may be selected from among a plurality of serving robots based on a distance between each of the serving robots. For example, a serving robot that is closest to the IoT terminal may be utilized.

According to an embodiment of the present invention, the IoT device is a personal portable terminal, cellular phone, personal communication service phone, GSM phone, WCDMA phone, MBS phone, smart (phone or multimode multiband terminal, PC, notebook PC, handheld PC, tablet PC, ultrabook, slate PC, digital broadcast terminal, PMP, navigation, wearable device (e.g., watch type terminal (smartwatch), glass type terminal (smart glass), including HMD (head mounted display), etc.) And / or according to an embodiment of the present invention, the IoT device performs an operation related to providing a service related to a store by exchanging data with a server and / or other devices based on IoT technology. For example, the IoT device may include a body temperature measurement sensor, a camera, a heating/cooling device, a lamp for each table, an air purifier, an AI speaker, and the like.

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

According to an embodiment of the present invention, middleware may be hardware and/or software for interworking with stores/businesses other than the corresponding store and/or other stores/businesses not subscribed to the service platform according to an embodiment of the present invention. can According to an embodiment of the present invention, the middleware may check and transmit one or more of information required by and/or requested from other stores/business sites, 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, machines learn, judge, and become smarter on their own. The more AI systems are used, the higher the recognition rate and the more accurate understanding of user preferences. Existing rule-based smart systems are gradually being replaced by deep learning-based AI systems.

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

Machine learning is an algorithm technology that classifies/learns the characteristics of input data by itself, and element technology is a technology that uses machine learning algorithms such as deep learning to mimic functions such as recognition and judgment of the human brain. It consists of technical fields such as understanding, inference/prediction, knowledge expression, and motion control.

The various fields where artificial intelligence technology is applied are as follows. Linguistic understanding is a technology for recognizing and applying/processing human language/characters, including natural language processing, machine translation, dialogue systems, question and answering, voice recognition/synthesis, and the like. Visual understanding is a technology for recognizing and processing objects like human vision, and includes object recognition, object tracking, image search, person recognition, scene understanding, space understanding, image improvement, and the like. Inference prediction is a technique of reasoning and predicting logically by judging information, and includes knowledge/probability-based reasoning, optimization prediction, preference-based planning, and recommendation. 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 for controlling the autonomous driving of a vehicle and the movement of a robot, and includes motion control (navigation, collision, driving), manipulation control (action control), and the like.

In the following description, an embodiment of the present invention has been described on the premise that the server 20 performs a model acquisition operation, but according to an embodiment of the present invention, another server outside the server 20 performs a model acquisition operation. 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 between the plurality of IoT terminals 40 and/or the plurality of servers 20 Each operation of the model acquisition operation may be distributed and executed separately.

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

11 is a diagram illustrating an operating method of an apparatus 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 learning 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, the customer-related learning data is a preference menu of each of a plurality of customers obtained based on profile information including date of birth, gender, e-mail, mobile phone, and address of each of a plurality of customers, and a service request history of each of the plurality of customers. It may include one or more of the information about.

For example, the store-related learning data includes a plurality of menus that can be provided in each of a plurality of stores, an address of each of the plurality of stores, a review of each of the plurality of stores, and a plurality of items that can be provided in each of the plurality of stores. It may include one or more of information about popular menus in each of a plurality of stores obtained based on the order history of each of the menus. For example, each of the information on the preferred menu and the information on the popular menu may be an order time slot having a predefined constant time length (eg, each time slot in which a certain total time interval is divided into a certain time size) For example, but not limited to morning/afternoon/evening, for example, may be used to identify popular menus corresponding to that time period) and weather (eg, sunny, cloudy, rainy, shower, lightning, snow, hail, etc. For example, it may be used to identify a popular menu corresponding to corresponding weather and/or expected weather).

According to an embodiment of the present invention, the server may obtain learning data based on the learning 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, the training data may include training data and test data.

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

For example, the server may learn the AI engine based on training data. For example, the AI engine can be an artificial intelligence engine that can be learned based on artificial intelligence algorithms. For example, artificial intelligence engines can include Convolutional Neural Network (CNN), Deep Neural Network (DNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Bidirectional Recurrent Deep Neural Network (BRDNN). ) or deep Q-networks (Deep Q-Networks), but is not limited thereto.

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

According to an embodiment of the present invention, the server may obtain feedback information on 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 training data may include pre-processing and post-processing versions of the data, and the server generates processed data by processing the pre-processing data based on the learned model, and the processed data and the after-processing included in the training data. The versions may be compared and feedback may be obtained based on the result of the comparison.

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

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

According to an embodiment of the present invention, when the number of iterations reaches a preset threshold (eg, 7 to 9 times), the server may terminate the operation and acquire 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 is configured to train the AI engine based on training data among training data and test data obtained by processing the training data. can

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

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

According to an embodiment of the present invention, in operation 907, the server may compare the number of repetitions of operations 901 to 905 with a preset threshold value (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, whenever 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, the server may return to operation 901 and re-perform operations 901 to 905 if the number of repetitions does not match a preset threshold (ie, if the number of repetitions is less than the preset threshold).

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

An embodiment of the present invention may be embodied in other specific forms without departing from its technical idea and essential characteristics. Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered illustrative. The scope of one embodiment of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent range of one embodiment of the present invention are included in the scope of one embodiment of the present invention. In addition, claims that do not have an explicit citation relationship in the claims may be combined to form an embodiment or may be included as new claims by amendment after filing.

Claims (1)

In the system for the delivery platform,
server; customer terminal; A plurality of internet of things (IoT) terminals; one or more serving robots; point of sales (POS) devices; and a delivery driver terminal; including,
The server:
Receive service request information including information on a customer ID (identifier) and information on a store ID;
Obtain a recommended menu list based on output information of a recommendation model obtained in response to input information including customer information on a customer corresponding to the customer ID and store information on a specific store corresponding to the store ID do,
As the customer information and store information are input to the recommendation model, one or more first attribute values related to the estimated preference of the customer corresponding to the customer ID among a plurality of preset customers assigned different customer IDs are obtained; ,
One or more second attribute values are pre-assigned to each of a plurality of menus that can be provided in a specific store corresponding to the store ID among a plurality of preset stores to which different store IDs are assigned;
The plurality of IoT terminals and the one or more serving robots are provided in the specific store,
The server:
The service request information is received from one IoT terminal among the plurality of IoT terminals, the customer ID corresponds to the customer who is a user using the one IoT terminal, and the shop ID corresponds to the one IoT terminal where the one IoT terminal is installed. corresponding 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;
The server:
A value for each of a plurality of menus including a plurality of menus that can be provided in 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. Allocating the one or more second attribute values based on the assignment;
The one or more first attribute values are obtained based on a value being assigned to each of one or more estimated preference menus obtained based on the customer's order history in the plurality of stores and the recommendation model according to the attribute value table. do,
① ID assigned to the one IoT terminal, ② 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 request information for one or more menus among a plurality of menus that can be provided in the specific store in response to the recommended menu list is received from the one IoT terminal, at least one of food and beverages corresponding to the one or more menus is received. Control the specific serving robot to perform an operation of delivering 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, a menu corresponding to the first value is included in the recommendation 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 for each of the second value and the one or more second attribute values is calculated. However, the recommended menu list includes a menu corresponding to a value corresponding to a maximum or minimum similarity score among the one or more second attribute values,
The server:
Receiving first delivery order information from the customer terminal;
Second delivery order information is generated based on the customer personal information corresponding to the customer terminal and the first delivery order information;
A comprehensive score (CompS) is calculated based on Equation 1 below,
When the total score is less than or equal to a predetermined threshold, waiting for reception of request information indicating whether to deliver the second delivery order information to the delivery driver terminal from the POS device;
When the total score exceeds the predetermined threshold, the waiting process is omitted, and the second delivery order information is automatically delivered to the delivery driver terminal,
[Equation 1]

StabS corresponds to a stability score, DisDiff corresponds to a 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 a first weight, and w2 and w3 are a second weight and a third weight corresponding to the stability score, respectively;
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 institution, Level corresponds to the cleanliness-related rating given to the specific store by the external institution, and Category is based on the category of food registered as the main menu of 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 rate at which delivery is normally 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 (Customer Points) accumulated by the customer of the customer terminal, and OrdPri corresponds to the total amount of delivery charges (Order Price) that the customer of the customer terminal placed an order in the specific store,
The Category is set to a higher value as the degree of change over time after the category of food registered as the main menu by the specific store is cooked.

Images