KR20220131803A - System for managing export conference based on non-face-to-face business to business - Google Patents

Abstract

An operation system for operating a business to business (B2B)-based contact-free export conference is disclosed. An operation device for operating a B2B-based contact-free export conference comprises: at least one processor; and a memory storing instructions instructing the at least one processor to perform at least one operation. The at least one operation comprises the following steps of: registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference; registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing buyer information for each of the registered buyers and seller information for each of the sellers; matching 1:1 remote consultation between the buyers and sellers participating in the export conference based on artificial intelligence; scheduling the 1:1 remote consultation between the buyers and the sellers according to requests of the buyer terminals and seller terminals; and providing the 1:1 real-time remote consultation between the buyers and the sellers according to the matching or scheduling. According to the present invention, the export conference can be operated online with reduced cost while promptly reflecting requests of participants.

Description

{SYSTEM FOR MANAGING EXPORT CONFERENCE BASED ON NON-FACE-TO-FACE BUSINESS TO BUSINESS}

The present invention relates to a system for operating an export conference, and more particularly, to a system for operating a non-face-to-face B2B-based export conference.

Inviting a large number of foreign buyers to Korea to hold an export conference offline is an opportunity to strengthen the capabilities of domestic companies and increase their export performance, which is an important sales route for domestic companies focusing on exports.

Since such offline-based export conferences have to invite overseas buyers to Korea, there is a problem that it takes a lot of participation and hosting costs, and also costs a lot of time.

In addition, when offline-based export conferences are conducted, there is a limit to collecting and reflecting the requests of a large number of participating companies, which may have dozens or hundreds of operators, and it is difficult to respond immediately to requests. .

In order to solve this problem, it is necessary to replace the offline export conference, but the simple online video conference or consultation system that is not optimized for the export conference is only used for the export conference.

In addition, if the seller and buyer conduct 1:1 consultation through online video conferencing, the buyer cannot check the immediate cost and alternative sellers. It will be decided whether or not to conclude a contract after deferring the contract and conducting follow-up discussions.

Therefore, there is a need to quickly determine whether to conclude a contract by immediately confirming accurate information during the online consultation process and immediately proceeding with the follow-up consultation.

An object of the present invention for solving the above problems is to provide a system for operating a non-face-to-face B2B-based export conference.

Another object of the present invention for solving the above problems is to provide a device for operating a non-face-to-face B2B-based export conference.

Another object of the present invention for solving the above problems is to provide a method for operating a non-face-to-face B2B-based export conference.

One aspect of the present invention for achieving the above object provides an operating device for operating a non-face-to-face B2B (business to business)-based export conference.

An operating device for operating the non-face-to-face B2B (business to business)-based export conference may include: at least one processor; and a memory for storing instructions instructing the at least one processor to perform at least one operation.

The at least one operation may include: registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference; registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing the registered buyer information for each of the buyers and seller information for each of the sellers; matching 1:1 remote consultation between the buyers and the sellers participating in the export consultation based on artificial intelligence; scheduling 1:1 teleconsultation between the buyers and the sellers according to the requests of the buyer terminals and the seller terminals; and providing 1:1 real-time remote consultation between the buyers and the sellers according to the matching or the scheduling.

The buyer information includes the industry field of the product to be purchased, the type of product to be purchased, the desired delivery period, the purchase quantity, the purchase unit price, the history of the seller requesting, and the recognition level of the requested seller.

The seller information includes the industry field of the goods handled by the seller, the type of goods to be sold, the deliverable deadline, the deliverable quantity, the delivery unit price, the seller's business history, and the seller's brand name.

The export conference information includes the name of the export conference, operating period, purpose, organizer information, and participant information.

In the managing of the export conference information, a buyer or seller selected according to a result of comparing the participant information provided from the management terminal with the buyer information or the seller information is recorded in the export conference information as a participant.

The step of providing the 1:1 real-time remote consultation includes creating a remote video consultation interface in which a buyer image in which a buyer is photographed and a seller image in which the seller is photographed face each other, centering on an interpreter image in which an interpreter appears do.

During the 1:1 real-time teleconsultation, the cost competitiveness between the target buyer currently in the process of awarding and the remaining registered buyers is compared based on the buyer information and displayed on the remote video consultation interface.

The 1:1 teleconsult matching may include: determining a seller characteristic matrix based on the seller information; converting the seller feature matrix into a seller feature image and outputting; and inputting the seller feature image to a convolutional neural network and selecting one of the buyers according to an output of the convolutional neural network.

Another aspect of the present invention for achieving the above object provides a method of operating an operating device for operating a non-face-to-face B2B (business to business)-based export conference.

The method includes: registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference; registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing the registered buyer information for each of the buyers and seller information for each of the sellers; matching 1:1 remote consultation between the buyers and the sellers participating in the export consultation based on artificial intelligence; scheduling 1:1 teleconsultation between the buyers and the sellers according to the requests of the buyer terminals and the seller terminals; and providing 1:1 real-time remote consultation between the buyers and the sellers according to the matching or the scheduling.

Another aspect of the present invention for achieving the above object provides a non-transitory recording medium in which a program for executing the operating method is recorded and readable by a computer.

Another aspect of the present invention for achieving the above object is, in an operating device for operating a non-face-to-face B2B (business to business)-based export conference, recorded in a non-transitory recording medium to execute the operating method, a computer program is provided.

Another aspect of the present invention for achieving the above object provides an operating system for operating a non-face-to-face B2B (business to business)-based export conference.

The operating system may include: a management terminal that registers the export conference in an operating device, and manages the consultation status of the export conference through the operating device; a buyer terminal that selects a desired export conference from among the export conferences registered in the operating device, and is registered as a buyer in the selected export conference; a seller terminal that selects a desired export conference from among the export conferences registered in the operating device, and is registered as a seller in the selected export conference; and an operating device that relays the buyer terminal and the seller terminal to provide 1:1 remote consultation, and provides the consultation status to the management terminal.

The operating device, at least one processor (processor); and a memory for storing instructions instructing the at least one processor to perform at least one operation.

The at least one operation may include: registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference; registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing the registered buyer information for each of the buyers and seller information for each of the sellers; matching 1:1 remote consultation between the buyers and the sellers participating in the export consultation based on artificial intelligence; scheduling 1:1 teleconsultation between the buyers and the sellers according to the requests of the buyer terminals and the seller terminals; and providing 1:1 real-time remote consultation between the buyers and the sellers according to the matching or the scheduling.

When using the system for operating a non-face-to-face B2B-based export conference according to the present invention as described above, it is possible to operate an export conference based on an online basis, thereby greatly reducing costs and promptly reflecting the requests of each participant to conduct the conference. can operate

In addition, because it is possible to recommend a 1:1 match between seller and buyer based on artificial intelligence, buyers have the advantage of having a high contract completion rate by directly consulting with the recommended seller.

In addition, in the process of online consultation, information on multiple buyers (or sellers) can be immediately checked, compared and analyzed to respond to buyers (or sellers), so it is possible to quickly decide whether to conclude a contract or not. There are advantages.

In addition, since participants participating in 1:1 remote consultation are authenticated using a unique authentication method, it is possible to exclude unauthorized third parties from participating in 1:1 remote consultation and maintain the confidentiality of consultation.

1 is a schematic diagram of a system for operating a non-face-to-face B2B-based export conference according to an embodiment.
FIG. 2 is a block diagram exemplarily showing a functional module of the operating device according to FIG. 1 .
FIG. 3 is a view showing the contents of management of the counseling status provided to the management terminal according to FIG. 1 by way of example;
4 is a diagram illustrating a detailed configuration of the artificial intelligence seller matching unit according to FIG. 2 .
5 is a diagram exemplarily illustrating a seller feature image according to FIG. 4 .
6 is a diagram exemplarily showing the structure of the convolutional neural network according to FIG. 5 .
7 is a diagram illustrating a remote consultation interface controlled by the real-time remote consultation management unit according to FIG. 2 .
FIG. 8 is a conceptual diagram for explaining a process of authenticating participants participating in a conference by the real-time remote consultation management unit according to FIG. 2 .
FIG. 9 is a diagram exemplarily showing a hardware configuration of the operating device according to FIG. 1 .

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention. In describing each figure, like reference numerals have been used for like elements.

Terms such as first, second, A, and B may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being “connected” or “connected” to another component, it may be directly connected or connected to the other component, but it is understood that other components may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a system for operating a non-face-to-face B2B-based export conference according to an embodiment.

Referring to FIG. 1 , a system for operating a B2B (Business to Business)-based export conference includes an operating device 100 , a management terminal 400 , a buyer terminal 200 , and a seller terminal 300 . can

In the present invention as a whole, the export consultation meeting, specifically, may mean conducting online export consultation between a domestic company and foreign buyers, but is not limited thereto, and provides a global or domestic It should be understood to include all kinds of exhibitions, conferences, conferences, talks, etc. that are matched with each other in units to induce them to conclude contracts.

The management terminal 400 is a terminal of the organizer that hosts the export conference, and may register the export conference in the operation device 100 and manage the consultation status of the export conference through the operation device 100 .

Specifically, the management terminal 400 may register the export conference by providing the export conference information including the name, operating period, purpose, organizer information, participant information, and the like of the export conference to the operating device 100 . The organizer information may include the organizer's contact information, e-mail, phone number, and the name of the person in charge. Participation target information is information about a buyer or seller that the organizer wishes to participate, and may include an industry field to which the buyer or seller belongs, the type of goods handled, history, industry type, brand name, and the like.

The operating device 100 may register an export conference based on the information on the export conference provided from the management terminal 400 .

When the export conference is registered in the operating device 100 by one or more management terminals 400 , each of the plurality of buyer terminals 200 and the seller terminals 300 is registered for the export conference in the operating device 100 . You can apply for participation registration.

The buyer terminal 200 may select an export conference to participate in from among the export conferences registered in the operating device 100 , and transmit a buyer registration request for the selected export conference to the operating device 100 . In this case, the buyer registration request may include buyer information. Here, the buyer information may include an industry field, a type of product that one is interested in or wants to purchase, a desired delivery period, a purchase quantity, a purchase unit price, a history of the seller requesting it, and the recognition level of the seller requesting it.

The operating device 100 receives the buyer registration request, verifies the buyer information included in the buyer registration request, and generates a participation token corresponding to the export conference that the verified buyer terminal 200 wants to participate in. can be provided. Here, the participation token may be a random number for authenticating a participant during real-time remote consultation.

The seller terminal 300 may select an export conference to participate in from among the export conferences registered in the operating device 100 , and transmit a seller registration request for the selected export conference to the operating device 100 . The seller registration request may include seller information. The seller information may include the industry field of the product handled by the seller, the type of product to be sold, the delivery available period, the delivery available quantity, the delivery unit price, the seller's business history, the seller's brand name, the seller's awareness, and the like.

The operating device 100 receives the seller registration request, verifies the seller information included in the seller registration request, and generates a participation token corresponding to the export conference requesting the seller terminal 300 to participate in the verification completed. can be provided. That is, the participation token provided here is a random value that is uniquely generated for each export conference, and may be provided to the verified seller terminals 300 and buyer terminals 200 after applying for participation in the export conference.

On the other hand, the operating device 100, when the verification completed seller terminal 300 and the buyer terminal 200 are connected within the operation period of the registered export conference, the consultation schedule between the seller terminal 300 and the buyer terminal 200 can manage

In addition, the operating device 100 may recommend one-to-one matching between the seller terminals 300 and the buyer terminals 200 participating in the registered export conference based on artificial intelligence. In this case, the operating device 100 may pre-match the seller terminals 300 and the buyer terminals 200 with each other in a period specified by the consultation schedule, and determine whether a real-time connection is made and the seller terminal 300 is connected in real-time. Real-time matching may also be performed targeting buyers and buyers terminals 200 .

In addition, the operating device 100 may remotely support real-time video consultation by relaying the pre-matched or real-time matching seller terminal 300 and the buyer terminal 200 to each other, and the real-time video consultation supported here is registered in advance. An interpreter terminal (not shown) may participate. Here, the interpreter terminal may be a terminal owned by the interpreter in charge of interpretation so that communication between the seller and the buyer is smooth during real-time video consultation. To this end, a participation token may be provided in advance also to the interpreter terminal.

FIG. 2 is a block diagram exemplarily showing a functional module of the operating device according to FIG. 1 .

Referring to FIG. 2 , the operating device 100 registers an export conference by communicating with the management terminal 400 using a wired/wireless network, and an export conference registration unit 101 that manages information on the registered export conference, buyers A user register 102 that registers and sellers and manages information on registered buyers and sellers, artificial intelligence matching that matches buyers and sellers 1:1 with buyers and sellers participating in a designated export conference based on artificial intelligence Buyer terminal ( 200 ) and a real-time remote consultation management unit 105 that provides real-time remote consultation to the seller terminal 300 .

The export conference registration unit 101 may receive export conference information from the management terminal 400 and register the export conference based on the received export conference information. In addition, the export conference registration unit 101 receives from the real-time remote consultation management unit 105 whether the consultation is in progress or whether the consultation is complete, and uses the received consultation progress or consultation completion to provide export conference information for the registered export conference. can be updated.

The export conference registration unit 101 may receive consultation schedule information corresponding to the consultation for which the consultation schedule has been determined from the consultation schedule management unit 104 , and update the export conference information using the received consultation schedule information.

The export conference registration unit 101 may record each of the buyers and sellers registered by the user registration unit 102 as participants in the export conference information corresponding to the export conference desired to participate.

The export conference registration unit 101 compares the buyer information of the buyers registered by the user registration unit 102 and the seller information of the sellers with the participant information included in each of the plurality of export conference information to determine the export conference, Buyers and sellers may be recorded as participants in the determined export conference and corresponding export conference information. That is, the export conference registration unit 101 compares the participant information provided from the management terminal 400 , which is the host terminal for operating the export conference, with the buyer information (or seller information), and has a high or similar buyer (or seller) can be recorded as a participant.

The export conference registration unit 101 may provide export conference information corresponding to the registered export conference to the management terminal 400 at the request of the management terminal 400 .

The user registration unit 102 receives buyer information and seller information by communicating with a plurality of buyer terminals 200 and a plurality of seller terminals 300 using a wired/wireless network, and the received buyer information and seller information You can register buyers and sellers by referring to them. Here, the registered buyers and sellers may be selectively recorded as participants in the export conference by the export conference registration unit 101 .

The artificial intelligence matching unit 103 may match buyers and sellers recorded as participants in the export conference registration unit 101 1:1 with each other using deep learning-based artificial intelligence. At this time, the artificial intelligence seller matching unit 103 performs the buyer terminals 200 and the seller terminals 300 currently connected to buyers corresponding to the currently connected buyer terminals 200 among the buyer terminals 200 and the seller terminals 300 . Sellers corresponding to can be matched 1:1 with each other.

As another example, the artificial intelligence seller matching unit 103 may match buyers and sellers recorded as participants in a 1:1 ratio in advance before the consultation schedule scheduled by the consultation schedule management unit 104 is set.

That is, the artificial intelligence matching unit 103 may simultaneously support pre-matching and real-time matching.

The consultation schedule management unit 104 receives a consultation request from each of the buyer terminals 200 and the seller terminals 300, and refers to the consultation available time and the consultation target (buyer or seller) included in the received consultation request. Each of the buyer terminals 200 and the seller terminals 300 may determine a consultation schedule.

For example, the consultation schedule management unit 104 may receive a consultation request from the buyer terminals 200, and determine the consultation schedule of the buyer terminals 200 by referring to the consultation available time of the consultation target seller included in the consultation request. have. In the same way, the consultation schedule manager 104 receives the consultation request from the seller terminals 300, and determines the consultation schedule of the seller terminals 300 by referring to the consultation available time of the buyer to be consulted included in the consultation request. have.

That is, the consultation schedule management unit 104 determines a consultation schedule between the buyer terminals 200 and the consultation target (buyer or seller) designated by the seller terminals 300 to determine the consultation schedule between the buyer terminals 200 and the seller terminals 300 . can be provided to

The real-time remote consultation management unit 105 relays the buyer terminal 200 and the seller terminal 300 according to the consultation schedule determined by the consultation schedule management unit 104 to provide real-time remote video consultation to the buyer terminal 200 and the seller terminal 300 . ) can be provided.

FIG. 3 is a view showing the contents of management of the counseling status provided to the management terminal according to FIG. 1 by way of example;

Referring to FIG. 3 , the management terminal 400 may manage the consultation status by monitoring export conference information managed by the export conference registration unit 101 in real time.

For example, the management terminal 400 may receive, as export conference information corresponding to the export conference, the export conference name, operating period, purpose, organizer information, participant information, etc. from the export conference registration unit 101 . .

In addition, the management terminal 400 sets the target number of contracts concluded (target number of buyers in the drawing) in the export conference registered in conjunction with the export conference registration unit 101, the number of achieved contracts that are currently signed, etc. can confirm.

Also, the management terminal 400 may be provided with the number of buyers and sellers registered as participants in the export conference registered by the export conference registration unit 101 , and buyer information and seller information.

In addition, the management terminal 400 may be provided with the number of consultations matched by the artificial intelligence matching unit 103 .

In addition, the management terminal 400 may browse and receive buyer information corresponding to buyers registered as new participants in the export conference or seller information corresponding to sellers.

Accordingly, the management terminal 400 may monitor the export conference and corresponding export conference information in real time by reading and setting a target, and may update or modify the registered export conference information according to the monitoring result.

4 is a diagram illustrating a detailed configuration of the artificial intelligence matching unit according to FIG. 2 . FIG. 5 is a view for explaining an operation of the image converter according to FIG. 4 .

The artificial intelligence matching unit 103 according to an embodiment of the present invention determines a buyer that matches 1:1 with a seller using a convolutional neural network (CNN), or a seller that matches 1:1 with a buyer can be decided

Here, the convolutional neural network has the advantage of high classification performance because a lot of research has been done to classify a given input image into one of a number of classes, but it is difficult to apply to the matching system because it is based on the input image. there are many In order to solve this problem, the present invention applies a method of converting seller information into a seller characteristic matrix first, and converting the seller characteristic matrix into an image for use as input data in a convolutional neural network.

For convenience of explanation, in FIG. 4 and below, it will be described as determining a buyer that matches 1:1 with a seller.

Referring to FIG. 4 , the artificial intelligence matching unit 103 includes a seller characteristic determining unit 103a that receives seller information corresponding to a seller and determines a seller characteristic matrix, and converts the seller characteristic matrix into a seller characteristic image and outputs it It may include an image converter 103b, and a convolutional neural network 103c that receives a seller feature image and selects one of buyers.

Specifically, the seller characteristic determination unit 103a is configured to include the industry field of the product handled by the seller included in the seller information, the type of product to be sold, the delivery period, the delivery quantity, the delivery unit price, the seller's business history, and the seller's brand. You can create a seller characteristic matrix using the name.

In this case, the industrial field, the type of article, the delivery available deadline, the delivery available quantity, the delivery unit price, and the seller's history may be digitized and generated as a plurality of vectors. For example, since the quantity, deadline, unit price, history, etc. are already digitized, it is divided into multiple sections based on the upper and lower limits of the quantity, deadline, unit price, and history of registered sellers, and the corresponding Depending on the section to which the quantity, deadline, unit price, work history, etc. belong, it can be converted into a one-hot vector form. Here, the one-hot vector may be a vector in which one component is '1' and the other components are '0'.

However, if the seller's brand name is converted into a vector as it is, there is an insignificant conversion relationship between the brand name and the vector, so it is difficult to reflect the seller's characteristics. Accordingly, the seller characteristic determining unit 103a according to the present invention determines the seller's awareness using the brand name, and applies a method of converting the determined seller's awareness into a vector.

Specifically, the seller characteristic determining unit 103a searches for a document to which a keyword identical or similar to a brand name belongs in conjunction with an external search server (or a portal server such as Google), and for each searched document, A ratio of the number of keywords identical to or similar to the brand name among the number of keywords preset to correspond to the industry field may be calculated.

In Equation 1, fp is the ratio calculated from the searched literature, na is the number of keywords preset to correspond to the industry field of the product handled by the seller in the searched literature, and nb is the number of keywords identical to or similar to the brand name can

Next, the seller characteristic determining unit 103a may determine the seller's awareness according to Equation 2 below using the ratio calculated for each document and the number of retrieved documents.

In Equation 2, fp ⁱ may be a ratio calculated from any i-th document, k may be the number of retrieved documents, and fm may be the seller's awareness.

The seller characteristic determiner 103a may convert the seller's awareness into a one-hot vector according to a section to which the seller's awareness belongs among a plurality of sections. Here, the plurality of sections may be sections obtained by dividing an upper limit and a lower limit of the seller's awareness calculated by using the seller information of each of the registered sellers by a preset number.

The seller characteristic determiner 103a may convert the seller information into a plurality of one-hot vectors, and then generate a seller characteristic matrix having each of the converted one-hot vectors as one column.

The image converter 103b may generate a seller feature image by converting the seller feature matrix into an image form.

Specifically, referring to FIG. 5 , the seller characteristic matrix is composed of n (n is a natural number equal to or greater than 2) vectors in which each column is v1, v2, v3, v4, ??, and vn. For example, v1 may be a one-hot vector indicating an industry sector, v2 may be a one-hot vector indicating a shape of an article, v3 may be a one-hot vector indicating an available delivery date, and v4 may be It may be a one-hot vector indicating a delivery quantity, and vn may be a one-hot vector indicating a seller's awareness. In addition, the number of components of each vector (or the number of rows of the seller characteristic matrix) may be p (p is a natural number equal to or greater than 2 and may be equal to the number of indices constituting the seller information).

In this case, the image conversion unit 103b sets a pixel having a component value of 1 as a pixel value '0' (or a black color) in the seller characteristic matrix, and converts a pixel corresponding to a component value of '0' into a pixel With the value '255' (or white color), a seller feature image composed of n×p pixels horizontally and vertically can be generated. Here, '255' is the maximum pixel value when it has an 8-bit pixel value, and may vary depending on how many bits the pixel is expressed as a pixel value.

As shown in FIG. 5 , since each column constituting the seller characteristic matrix is composed of one-hot vectors v1 to vn, only one component value in each column has '1'. Accordingly, the seller feature image may be an image having one black color pixel per column.

The convolutional neural network 103c may receive a seller feature image, classify it as one of a plurality of pre-learned classes, and output it. Here, each of the classes may correspond to one buyer. To this end, the convolutional neural network 103c may generate a buyer feature image using buyer information corresponding to each of the registered buyers, and pre-train the generated buyer feature image to the convolutional neural network. Here, since the buyer feature image may be generated in the same manner as the seller feature image, a detailed description will be omitted to prevent duplicate description.

That is, when the convolutional neural network 103c receives a seller feature image generated based on seller information, it classifies the seller feature image into one of the classes corresponding to each of a plurality of registered buyers and outputs the classified class. have. Accordingly, it is possible to determine one buyer and one seller through the output of the convolutional neural network 103c.

6 is a diagram exemplarily showing the structure of the convolutional neural network according to FIG. 5 .

Referring to FIG. 6 , the convolutional neural network 103c receives a seller feature image of a preset size, and activates the output using the convolutional layer 11 that extracts a feature map and an activation function for the extracted feature. An activation layer (12) that determines whether or not to ) may include an output layer 15 that finally outputs an output according to the .

The convolutional layer 11 may be a layer that extracts the features of the input data by convolution of the received seller feature image and the filter. Here, the filter is a function that detects a characteristic part of the input image, is generally expressed as a matrix, and may be a function that is determined as it is continuously learned by learning data.

The feature extracted by the convolutional layer 11 may be referred to as a feature map. Also, an interval value for which convolution is performed may be referred to as a stride, and a feature map having a different size may be extracted according to the stride value. In this case, when the size of the filter is smaller than the input image, the feature map has a smaller size than the existing input image. In order to prevent the feature from being lost through several steps, a padding process may be additionally performed. In this case, the padding process may be a process of maintaining the same size of the input image and the size of the feature map by adding a preset value (eg, 0 or 1) to the outside of the generated feature map.

Here, the convolutional layer 11 according to an embodiment of the present invention may use a structure in which a 1×1 convolutional layer and a 3×3 convolutional layer are sequentially and repeatedly connected.

The activation layer 12 is a layer that determines whether to activate by changing the feature extracted with a certain value (or matrix) to a non-linear value according to the activation function. (softmax) function or the like may be used. For example, the softmax function may be a function having a characteristic that all input values are normalized to values between 0 and 1 and the sum of output values is always 1.

The pooling layer 130 performs subsampling or pooling on the output of the activation layer 12 to select a feature representing the feature map, and has the largest value for a certain region of the feature map. Max pooling for extracting , average pooling for extracting an average value, etc. may be performed. In this case, the pooling layer is not necessarily performed after the activation function, but may be selectively performed.

Also, the convolutional neural network 103c may include a plurality of connection structures of the convolutional layer 11 , the activation layer 12 , and the pooling layer 13 .

7 is a diagram illustrating a remote consultation interface controlled by the real-time remote consultation management unit according to FIG. 2 .

Referring to FIG. 7 , the real-time remote consultation management unit 105 is scheduled by the consultation schedule management unit 104 or matched by the artificial intelligence matching unit 103 between the buyer terminal 200 and the seller terminal 300 . Real-time 1:1 remote consultation can be relayed.

To this end, the real-time remote consultation management unit 105 receives the buyer image photographed through the buyer terminal 200 from the buyer terminal 200 , and receives the seller image photographed through the seller terminal 300 from the seller terminal 300 . Receive, receive an interpreter image taken through a separate interpreter terminal (not shown) from the interpreter terminal, create a remote video consultation interface including a buyer image, a seller image, and an interpreter image, and the buyer terminal 200 and the seller terminal (300), and may be provided to the interpreter terminal. For example, as shown in FIG. 7 , a remote video consultation interface in which a buyer image and a seller image face each other with an interpreter image in the center may be generated.

On the other hand, the real-time remote consultation management unit 105, during the real-time 1:1 remote consultation, using buyer information or seller information to maintain cost competitiveness (or export competitiveness) between the target buyer who is currently consulting and the remaining registered buyers The comparison may be displayed on the remote video consultation interface, one of the remaining registered buyers may be selected based on the comparison result, and the next consultation with the selected buyer may be scheduled and recommended to the seller terminal 300 .

Here, the selected buyer may correspond to a buyer determined to be superior in export cost competitiveness over a target buyer currently under consultation.

For example, the real-time remote consultation management unit 105 calculates the logistics cost for delivery to the target buyer based on the buyer location additionally included in the buyer information, and subtracts the calculated logistics cost from the purchase unit price. It may be determined and provided to the seller terminal 300 in the process of being consulted.

Here, the logistics cost can be calculated based on the freight cost for each transport method according to the delivery deadline as shown in FIG. 6, and the transport method is determined by the seller’s selection or automatically selected as the transport method corresponding to the lowest freight cost. may be

In addition, the real-time remote consultation management unit 105 calculates each deducted cost according to the buyer location with reference to buyer information corresponding to the pre-registered buyers, and sets the buyer with the largest deducted cost as a buyer for the next consultation. can be selected

For example, as shown in FIG. 6 , the deducted cost calculated for Buyer A, which is the target buyer for which consultation is currently in progress, is 365,000 won/piece, and the deducted cost for Buyer B, which has the largest deducted cost among the remaining buyers, is 390000 won/ can be a dog In this case, the real-time remote consultation management unit 105 displays these deducted costs to the seller A in 1:1 consultation with the buyer A, and at the same time recommends the seller A to schedule a 1:1 consultation with the buyer B having an advantage in cost. can do.

In other words, during consultation with Buyer A, Seller A can immediately grasp the cost competitiveness between other buyers and Buyer A through map data representing logistics costs and flows, and the cost competitiveness identified here is It is possible to schedule the next consultation by selecting another buyer B with a higher advantage.

Through this, it is possible to confirm each other's export competitiveness through objective data in advance while conducting 1:1 remote consultation, and reconfirm through 1:1 consultation, and through this, it is possible to provide negotiation competitiveness to sellers, so that it is possible to close a contract quickly. can induce

Meanwhile, in FIG. 7 , it has been described that the seller schedules the next consultation with another buyer who has a competitive edge in cost, but it should be understood that the opposite case is also possible. That is, while the buyer and the seller are conducting 1:1 remote consultation with each other, it is possible to select another seller with an advantage in cost competitiveness to the buyer, schedule it as the next consultation target, and recommend it to the buyer.

FIG. 8 is a conceptual diagram for explaining a process of authenticating participants participating in a conference by the real-time remote consultation management unit according to FIG. 2 .

The real-time remote consultation management unit 105 authenticates the buyer terminal 200 and the seller terminal 300, and the interpreter terminal (not shown) that want to participate in the 1:1 remote consultation based on the participation token paid in advance, Only the buyer terminal 200, the seller terminal 300, and the interpreter terminal may be allowed to participate in the 1:1 remote consultation.

Specifically, the real-time remote consultation management unit 105 determines a return timing value that is commonly applied to the buyer terminal 200 and the seller terminal 300, and/or the interpreter terminal (not shown) to participate in 1:1 remote consultation. can be created and transmitted.

After receiving the return timing value, the buyer terminal 200, the seller terminal 300, and/or the interpreter terminal (not shown) receive a preset number of return values based on the previously received participation token. It can be created sequentially (or chained).

For example, the buyer terminal 200, the seller terminal 300, and/or the interpreter terminal (not shown) generates a first return value based on the participation token, and a second return value based on the first return value. value can be created. In the same way, an i+1-th return value may be generated based on the i-th (i is a natural number equal to or greater than 2) return value.

Specifically, the buyer terminal 200, the seller terminal 300, and/or the interpreter terminal (not shown) XOR the values corresponding to the last 2 bits in the participation token 1111. A first return value 0111 may be generated by performing a right shift operation on the participation token 1111 to correspond to the first bit of 1111 . Here, the right shift operation may correspond to an operation of shifting a value to the right by one bit.

In the same way, the buyer terminal 200, the seller terminal 300, and/or the interpreter terminal (not shown) XOR the values corresponding to the last 2 bits in the first return value 0111 with each other to obtain a value (0) ) corresponds to the first bit of the first return value 0111 , a second return value 0011 may be generated by performing a right shift operation on the first return value 0111 .

When a preset number of return values are generated in this way, the buyer terminal 200, the seller terminal 300, and/or the interpreter terminal (not shown), among the generated return values, corresponds to the return timing value. A return value corresponding to the order may be selected and transmitted to the real-time remote consultation management unit 105 .

For example, if the return timing value is 1, the first return value generated first after the participation token 1111 may be selected and transmitted to the real-time remote consultation management unit 105, and if the return timing value is 5, the participation token After 1111 , the fifth generated return value 0100 may be selected and transmitted to the real-time remote consultation management unit 105 .

The real-time remote consultation management unit 105, when the return values provided from the buyer terminal 200, the seller terminal 300, and the interpreter terminal (not shown) match each other, the buyer terminal 200 and the seller terminal ( 300), and the interpreter terminal (not shown) may be allowed to receive remote consultation to relay the consultation.

As such, the real-time remote consultation management unit 105 according to an embodiment of the present invention generates a plurality of return values based on the respective participation tokens of the buyer terminal 200, the seller terminal 300, and the interpreter terminal (not shown). and return values corresponding to the return timing values are selected and returned, so if the participation tokens are not legally paid or even if the participation tokens are paid, the return values according to the preceding description cannot be sequentially generated. :1 Cannot participate in remote consultation. Accordingly, since only buyers, sellers, and interpreters authenticated by the real-time remote consultation management unit 105 can participate in 1:1 remote consultation, there is an advantage in that the confidentiality of consultation contents can be guaranteed.

FIG. 9 is a diagram exemplarily showing a hardware configuration of the operating device according to FIG. 1 .

Referring to FIG. 9 , the operating device 100 stores at least one processor 110 and instructions for instructing the at least one processor 110 to perform at least one operation. It may include memory.

The at least one operation may include the components 101 to 105 of the above-described operating device 100 or other functions or operation methods.

Here, the at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. can Each of the memory 120 and the storage device 160 may be configured as at least one of a volatile storage medium and a non-volatile storage medium.

For example, the memory 120 may be one of a read only memory (ROM) and a random access memory (RAM), and the storage device 160 is a flash-memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

In addition, the operating device 100 may include a transceiver 130 for performing communication through a wireless network. In addition, the operating device 100 may further include an input interface device 140 , an output interface device 150 , a storage device 160 , and the like. Each of the components included in the operating device 100 may be connected by a bus 170 to communicate with each other.

For example, the operating device 100 that can communicate, a desktop computer (desktop computer), a laptop computer (laptop computer), a notebook (notebook), a smart phone (smart phone), a tablet PC (tablet PC), a mobile phone (mobile phone) ), smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) It may be a player, a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, a personal digital assistant (PDA), or the like.

10 is a diagram illustrating a wireless communication system that can be applied in a communication process according to an embodiment of the present invention. 11 is a diagram illustrating a base station in the wireless communication system according to FIG. 10 . 12 is a diagram illustrating a terminal in the wireless communication system according to FIG. 10 . 13 is a diagram illustrating a communication interface in the wireless communication system according to FIG. 10 .

Hereinafter, an example of a wireless communication network system supporting communication between the operating device 100 and the terminals 200 to 400 and the base station will be described in detail as an example, and the operating device 100 and the terminals 200 to 400 ) may be referred to as a node or a terminal for convenience of description. In the following description, a first node (device) may be an anchor/donor node or a centralized unit (CU) of an anchor/donor node, and a second node (device) may be an anchor/donor node or a distributed unit (DU) of a relay node. can be

As a part of a node using a radio channel in a wireless communication system, a base station (BS), a terminal, a server, and the like may be included.

A base station is a network infrastructure that provides wireless access to a terminal. A base station has coverage defined as a certain geographic area according to the distance over which signals can be transmitted.

A base station is an "access point (AP)", "enodeb (eNB)", "5th generation (5G) node", "wireless point", " It may be referred to as a "transmission/reception point (TRP)".

The base station and the terminal may transmit and receive radio signals in millimeter wave (mmWave) bands (eg, 28 GHz, 30 GHz, 38 GHz, 60 GHz). In this case, the base station and the terminal may perform beamforming to improve the channel gain. Beamforming may include transmit beamforming and receive beamforming. That is, the base station and the terminal may impart directivity to the transmitted signal and the received signal. To this end, the base station and the terminal may select a serving beam through a beam search procedure or a beam management procedure. Thereafter, communication may be performed using a resource that is in a quasi co-located relationship with a resource carrying the serving beam.

The first antenna port and the second antenna port are considered quasi-co-located if the large-scale properties of the channel through which the symbol of the first antenna port is carried can be inferred from the channel through which the symbol of the second antenna port is carried. The large-scale attribute may include one or more of delay spread, Doppler spread, Doppler shift, average gain, average delay, and spatial Rx parameters.

Hereinafter, a base station is exemplified in the above-described wireless communication system. The terms "-module", "-unit" or "-er" used hereinafter may mean a unit that processes at least one function or operation, and includes hardware, software, or hardware and software. can be implemented as a combination of

The base station may include a wireless communication interface, a backhaul communication interface, a storage unit and a controller.

The wireless communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to a physical layer standard of the system. For example, in data transmission, a wireless communication interface encodes and modulates a stream of transmitted bits to produce complex symbols. In addition, upon data reception, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

The wireless communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to a physical layer standard of the system. For example, in data transmission, a wireless communication interface encodes and modulates a stream of transmitted bits to produce complex symbols. In addition, upon data reception, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

In addition, the wireless communication interface up-converts the base band signal into a radio frequency (RF) band signal, transmits the converted signal through the antenna, and then down-converts the RF band signal received through the antenna into a base band signal. To this end, the wireless communication interface includes a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a digital-to-analog converter (DAC), It may include an analog-to-digital converter (ADC) and the like. Also, the wireless communication interface may include a plurality of transmission/reception paths. Further, the wireless communication interface may include at least one antenna array including a plurality of antenna elements.

In terms of hardware, the wireless communication interface may include a digital unit and an analog unit, and the analog unit may include a plurality of sub-units according to operating power, operating frequency, and the like. The digital unit may be implemented with at least one processor (eg, a digital signal processor (DSP)).

The wireless communication interface transmits and receives signals as described above. Accordingly, a wireless communication interface may be referred to as a "transmitter", "receiver" or "transceiver". In addition, in the following description, transmission/reception performed through a wireless channel may be used to include processing performed in a wireless communication interface as described above.

The backhaul communication interface provides an interface for performing communication with other nodes in the network. That is, the backhaul communication interface converts the bit stream transmitted to another node, for example, another access node, another base station, a higher node or a core network from a base station converts the physical signal received from the other node into a physical signal. convert to stream

The storage unit stores data such as basic programs, applications, and setting information for operation of the base station. The storage unit may include a volatile memory, a non-volatile memory, or a combination of a volatile memory and a non-volatile memory.

The controller controls the overall operation of the base station. For example, the controller transmits and receives signals through a wireless communication interface or a backhaul communication interface. The controller also writes data to the storage and reads the recorded data. The controller can perform the function of the protocol stack required by the communication standard. According to another implementation, the protocol stack may be included in a wireless communication interface. To this end, the controller may include at least one processor.

According to an embodiment, the controller may control the base station to perform an operation according to an embodiment of the present invention.

According to various embodiments, a donor node of a wireless communication system includes at least one processor, a transceiver operatively coupled to the at least one processor, and a plurality of radio bearers for a terminal accessing the relay node. and send to the relay node a first message including first information related to the donor node regarding receive, from the relay node, a second message including second information related to the relay node regarding a plurality of radio bearers for the terminal; Data for the terminal may be transmitted to the relay node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may aggregate a plurality of radio bearers. the at least one processor is further configured to determine a radio bearer for the terminal accessing the relay node and a multiple radio bearer aggregated by the radio bearer; Alternatively, a radio bearer for a terminal accessing the relay node may be determined.

According to various embodiments, the first message may include one or more of the following: identification of a terminal accessing the relay node; display information indicating the type of terminal accessing the relay node; information on a radio bearer of a terminal accessing a relay node; information on the radio bearer delivered by the terminal accessing the relay node; information on the tunnel established for the radio bearer between the donor node and the relay node; information on the aggregated multiple radio bearers; radio bearer mapping information; information about the address on the side of the donor node; information on the address of the relay node side; indication information corresponding to a radio bearer of a terminal accessing a relay node; indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; a list of address information that cannot be used by a relay node that transmits data of a radio bearer of a terminal accessing the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of the following: identification of a terminal accessing the relay node; information on radio bearers accepted by the relay node; information on radio bearers not acknowledged by the relay node; information on radio bearers partially granted by the relay node; radio bearer mapping information; configuration information of a terminal accessing the relay node generated by the relay node; information on the address of the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information on the integrated multi-radio bearer.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distributed unit of the donor node.

According to various embodiments, a relay node of a wireless communication system includes at least one processor, a transceiver operatively coupled to the at least one processor, and a plurality of terminals accessing the relay node from a donor node. configured to receive a first message including first information related to a donor node regarding a radio bearer of ; transmit a second message including second information related to the relay node regarding the plurality of radio bearers to the terminal to the donor node; It is possible to receive data for the terminal from the donor node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may aggregate a plurality of radio bearers. the at least one processor is further configured to determine a radio bearer for the terminal accessing the relay node and a multiple radio bearer aggregated by the radio bearer; Alternatively, multiple radio bearers aggregated by the radio bearer may be determined.

According to various embodiments, the first message may include one or more of the following: identification of a terminal accessing the relay node; display information indicating the type of terminal accessing the relay node; information on a radio bearer of a terminal accessing a relay node; information on the radio bearer delivered by the terminal accessing the relay node; information on the tunnel established for the radio bearer between the donor node and the relay node; information on the aggregated multiple radio bearers; radio bearer mapping information; information about the address on the side of the donor node; information on the address of the relay node side; indication information corresponding to a radio bearer of a terminal accessing a relay node; indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; a list of address information that cannot be used by a relay node that transmits data of a radio bearer of a terminal accessing the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of the following: identification of a terminal accessing the relay node; information on radio bearers accepted by the relay node; information on radio bearers not acknowledged by the relay node; information on radio bearers partially granted by the relay node; radio bearer mapping information; configuration information of a terminal accessing the relay node generated by the relay node; information on the address of the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information on the integrated multi-radio bearer.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distributed unit of the donor node.

Hereinafter, components of a terminal in the above-described wireless communication system are illustrated. The components of the terminal described below may be merged or integrated with the components of the terminal according to the above-described contents as components of a general-purpose terminal supported by the wireless communication system. Contents described with reference may be interpreted as having priority. The terms “-module”, “-unit” or “-er” used below may refer to a unit that processes at least one function.

The terminal includes a communication interface, a storage unit and a controller.

The communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the communication interface performs a conversion function between a baseband signal and a bit stream according to the physical layer standard of the system. For example, in data transmission, a communication interface encodes and modulates a stream of transport bits to produce complex symbols. In addition, upon data reception, the communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream. In addition, the communication interface up-converts the base band signal into an RF band signal, transmits the converted signal through the antenna, and then down-converts the RF band signal received through the antenna into a base band signal. For example, the communication interface may include a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, and a digital-to-analog converter (DAC). , an analog-to-digital converter (ADC), and the like.

Also, the communication interface may include a plurality of transmission/reception paths. Further, the communication interface may include at least one antenna array including a plurality of antenna elements. On the hardware side, the wireless communication interface may include a digital circuit and an analog circuit (eg, a radio frequency integrated circuit, RFIC). The digital circuit may be implemented with at least one processor (eg, DSP). The communication interface may include a plurality of RF chains. The communication interface may perform beamforming.

The communication interface transmits and receives signals as described above. Accordingly, a communication interface may be referred to as a "transmitter", "receiver" or "transceiver". In addition, in the following description, transmission/reception performed through a wireless channel may be used to include processing performed in a communication interface as described above.

The storage unit stores data such as basic programs, applications, and setting information for the operation of the terminal. The storage unit may include a volatile memory, a non-volatile memory, or a combination of a volatile memory and a non-volatile memory. In addition, the storage unit provides the stored data according to the request of the controller.

The controller controls the overall operation of the terminal. For example, the controller sends and receives signals through a communication interface. The controller also writes data to the storage and reads the recorded data. The controller can perform the function of the protocol stack required by the communication standard. According to another implementation, the protocol stack may be included in the communication interface. To this end, the controller may include at least one processor or microprocessor or may reproduce a part of the processor. Also, a part of the communication interface or controller may be referred to as a communication processor (CP).

According to an embodiment of the present invention, the controller may control the terminal to perform the operation according to the embodiment of the present invention.

Hereinafter, a communication interface in a wireless communication system is exemplified.

The communication interface includes encoding and modulation circuitry, digital beamforming circuitry, a plurality of transmission paths, and analog beamforming circuitry.

The encoding and modulation circuitry performs channel encoding. At least one of a low-density parity check (LDPC) code, a convolutional code, and a polar code may be used for channel encoding. The encoding and modulation circuitry generates modulation symbols by performing constellation mapping.

The digital beamforming circuit performs beamforming on a digital signal (eg, a modulation symbol). To this end, the digital beamforming circuit multiplexes the modulation symbols by the beamforming weight value. The beamforming weight may be used to change the size and phrase of a signal, and may be referred to as a “precoding matrix” or a “precoder”. The digital beamforming circuit outputs digital beamformed modulation symbols to a plurality of transmission paths. In this case, modulation symbols may be multiplexed or the same modulation symbol may be provided to a plurality of transmission paths according to a multiple-antenna technology (multiple input multiple output, MIMO) transmission method.

The plurality of transmission paths converts the digital beamformed digital signal into an analog signal. To this end, each of the plurality of transmission paths may include an inverse fast Fourier transform (IFFT) calculation unit, a cyclic prefix (CP) insertion unit, a DAC, and an up-conversion unit. The CP insertion unit is for an orthogonal frequency division multiplexing (OFDM) method and may be omitted when other physical layer methods (eg, a filter bank multi-carrier: FBMC) are applied. That is, the plurality of transmission paths provide independent signal processing processes for a plurality of streams generated through digital beamforming. However, depending on the implementation, some elements of a plurality of transmission paths may be used in common.

The analog beamforming circuit performs beamforming on an analog signal. To this end, the digital beamforming circuit multiplexes the analog signal by the beamforming weight value. Beamformed weights are used to change the size and text of the signal. More specifically, according to a connection structure between the plurality of transmission paths and the antenna, the analog beamforming circuit may be configured in various ways. For example, each of the plurality of transmission paths may be connected to one antenna array. In another example, a plurality of transmission paths may be coupled to one antenna array. In another example, the plurality of transmission paths may be adaptively coupled to one antenna array or may be coupled to two or more antenna arrays.

The methods according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer readable medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software.

Examples of computer-readable media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as at least one software module to perform the operations of the present invention, and vice versa.

In addition, the above-described method or apparatus may be implemented by combining all or part of its configuration or function, or may be implemented separately.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

Claims (9)

As an operating device for non-face-to-face B2B (business to business)-based export conference,
at least one processor; and
and a memory for storing instructions instructing the at least one processor to perform at least one operation,
The at least one operation is
Registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference;
registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing the registered buyer information for each of the buyers and seller information for each of the sellers;
matching 1:1 remote consultation between the buyers and the sellers participating in the export consultation based on artificial intelligence;
scheduling 1:1 teleconsultation between the buyers and the sellers according to the requests of the buyer terminals and the seller terminals; and
and providing 1:1 real-time remote consultation between the buyers and the sellers according to the matching or the scheduling. In claim 1,
The buyer information is
Including the industry field of the goods to be purchased, the type of goods to be purchased, the desired delivery period, the quantity to be purchased, the purchase unit price, the history of the seller requesting, and the recognition of the seller requesting;
The seller information is
The operating device, including the industry sector of the goods handled by the seller, the type of goods sold, the delivery time period, the deliverable quantity, the delivery unit price, the seller's business history, and the seller's brand name. In claim 1,
The export conference information includes the name, operating period, purpose, organizer information, and participant information of the export conference,
The step of managing the export conference information is,
An operating device for recording, as a participant, a buyer or seller selected according to a result of comparing the participant information provided from the management terminal with the buyer information or the seller information in the export conference information. In claim 1,
The step of providing the 1:1 real-time remote consultation,
Creating a remote video consultation interface in which the buyer image in which the buyer is photographed and the seller image in which the seller is photographed face each other, centering on the interpreter image in which the interpreter appears,
During the 1:1 real-time remote consultation, based on the buyer information, the cost competitiveness between the target buyer who is currently in the process of being awarded an award and the remaining registered buyers are compared and displayed on the remote video consultation interface. In claim 2,
The step of matching the 1:1 remote consultation includes:
determining a seller characteristic matrix based on the seller information;
converting the seller feature matrix into a seller feature image and outputting; and
and inputting the seller feature image to a convolutional neural network and selecting one of the buyers according to an output of the convolutional neural network. A non-face-to-face operation method of an operating device for operating a B2B (business to business)-based export conference,
Registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference;
registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing the registered buyer information for each of the buyers and seller information for each of the sellers;
matching 1:1 remote consultation between the buyers and the sellers participating in the export consultation based on artificial intelligence;
scheduling 1:1 teleconsultation between the buyers and the sellers according to the requests of the buyer terminals and the seller terminals; and
and providing 1:1 real-time teleconsultation between the buyers and the sellers according to the matching or the scheduling. A non-transitory recording medium in which a program for executing the operating method according to claim 6 is recorded and readable by a computer. In an operating device for operating a non-face-to-face B2B (business to business)-based export conference, a computer program recorded on a non-transitory recording medium to execute the operating method according to claim 6 . As an operating system for non-face-to-face B2B (business to business)-based export conference,
a management terminal that registers the export conference in the operating device and manages the consultation status of the export conference through the operating device;
a buyer terminal that selects a desired export conference from among the export conferences registered in the operating device, and is registered as a buyer in the selected export conference;
a seller terminal that selects a desired export conference from among the export conferences registered in the operating device, and is registered as a seller in the selected export conference; and
An operating device providing 1:1 remote consultation by relaying the buyer terminal and the seller terminal, and providing the consultation status to the management terminal,
The operating device is
at least one processor; and
and a memory for storing instructions instructing the at least one processor to perform at least one operation,
The at least one operation is
Registering an export conference by communicating with a management terminal using a wired/wireless network, and managing export conference information for the registered export conference;
registering buyers and sellers by communicating with buyer terminals and seller terminals, and managing the registered buyer information for each of the buyers and seller information for each of the sellers;
matching 1:1 remote consultation between the buyers and the sellers participating in the export consultation based on artificial intelligence;
scheduling 1:1 teleconsultation between the buyers and the sellers according to the requests of the buyer terminals and the seller terminals; and
and providing 1:1 real-time remote consultation between the buyers and the sellers according to the matching or the scheduling.

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