KR101830834B1 - Online Platform System Using System For Matching Of Experts Matching System. - Google Patents

Abstract

The present invention provides an online platform system including a user terminal, a business terminal, an expert terminal, and a matching server connected to the user terminal, the enterprise terminal and the expert terminal through a wired / wireless communication network, A user registration unit for receiving the user information from the user terminal and storing the user information in the user information DB, the company terminal receiving the company information and storing the company information in the company information DB, A search information input unit for inputting search information for searching a user or an expert desired by the user from the user terminal, an association company and an expert from the company information DB and the expert information DB according to the search information input from the search information input unit, Information of A recommendation request information input unit for inputting an appropriate company and expert selection request from the user terminal, and a control unit for, when receiving the appropriate company and expert selection request from the recommendation request information input unit, An information recommendation unit for deriving an appropriate company and expert from the company information DB and the expert information DB according to the information about the user stored in the information DB, extracting the appropriate company and expert information, and transmitting the information to the user terminal, Or an appropriate company and an expert selected by the user among the appropriate companies and experts derived by the information recommendation unit from the user terminal and transmits information and an acceptance request for the user to each terminal of the selected appropriate company and expert For the user, Beam and receives the acceptance of requests from the selected appropriate corporate and each terminal specialist has received the request, accepts and provides an online platform system, comprising: the matching unit for transmitting to the user terminal.

Description

An online platform system that uses an expert matching system. {Online Platform System Using System for Matching Of Experts Matching System.

The present invention relates to an online platform system for connecting a product planner including a factory-less manufacturing company to a professional manufacturing company and an expert. More particularly, the present invention relates to an online platform system that connects a professional manufacturer and an expert When a user requests to select appropriate professional manufacturing companies and experts through the platform, it derives appropriate candidates by using DB information, recommends related information to users, and allows platform users to search technical When a specialist consulting for erotic matters is requested, the concerned expert provides consulting services on-off-line, and the user is about a technology for registering and filing a use evaluation registration through the platform for the provided service.

In recent years, more and more companies are concentrating on areas that have a comparative advantage over the value chain by deviating from its own complete production system in accordance with the erosion of the manufacturing value chain. As a result, the "factory-less manufacturing company" model, which focuses on high value-added downstream industries and outsourcing production, has emerged as a new trend. In order to activate such "factory-less manufacturing companies," it is essential to use specialized manufacturing companies capable of outsourcing production and manufacturing processes. However, there is no specialized manufacturing company utilization infrastructure that is essential for "factory-free manufacturing companies." In Korea, information about professional manufacturing companies at each stage of production is dependent only on the experience of some experts. It is costly and time-consuming to investigate specialized manufacturing companies and establish cooperation processes.

BACKGROUND OF THE INVENTION [0002] The present invention relates to an online transaction using an intermediate platform server, and includes a server and a database. [0003] 2. Description of the Related Art [0004] And a platform for storing vendor information in a database of the intermediate platform and further having a payment platform to connect the user and the seller.

US 2011-0238570 A

Prior Art 1 relates to on-line transaction using an intermediate platform server, and after receiving transaction request information of a user, connects a proper seller to a user through merchandise information of a seller and a seller stored in a database. In this prior art 1, only a simple keyword search is provided instead of an interactive search method in which information of a database is applied to provide reasoning information, and the user is recommended to use the information provided by the user to recommend the appropriate partner, And the user can not be further matched with a third party expert in order to receive necessary consulting by production stage or sector, and the expert consulting service of each stage can not be provided.

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems and it is an object of the present invention to provide a method and system for managing a user terminal 1 and a corporate terminal 2 via a user terminal 1, a corporate terminal 2, an expert terminal 3, The matching server 100 receives the user information from the user terminal 1 and transmits the user information to the user information DB 21 in the online platform system including the matching server 100 connected to the expert terminal 3 The expert information DB 23 receives the expert information from the expert terminal 3 and stores the expert information in the expert information DB 23. The expert information DB 23 stores the company information in the company information DB 22, A search information input unit 103 for inputting search information for searching for a company or an expert desired by the user from the user terminal 1, a service provider registration unit 102 for storing the search information input from the search information input unit 103, An information retrieval unit 104 for retrieving information on related companies and experts from the company information DB 22 and the expert information DB 23 according to the received retrieval information and transmitting the extracted information to the user terminal 1, A recommendation request information input unit 105 for receiving an appropriate company and expert selection request from the recommendation request information input unit 105 and a recommendation request information input unit 105 for inputting an appropriate company and expert selection request from the recommendation request information input unit 105, And extracts the appropriate company and expert information from the company information DB 22 and the expert information DB 23 according to the information about the stored user, extracts the appropriate company and expert information, and transmits the information recommendation information to the user terminal 1 (106) and an appropriate enterprise and an expert selected by a user among the appropriate enterprise and an expert derived by the information searching unit (104) or the information recommending unit (106) And transmits the information on the user and the acceptance request to the respective terminals of the selected appropriate company and the expert, receives the information on the user and the acceptance request from the terminal (1) And a matching unit (107) for receiving an acceptance request approval from the user terminal (1) and transmitting the acceptance approval request to the user terminal (1).

Preferably, the matching server 100 of the on-line platform system further comprises a consulting request information input unit 108 for receiving expert consulting request and consulting request items from the user terminal 1, And a consulting function execution unit (109) for receiving the consulting contents and transmitting the consulting contents to the user terminal (1), wherein the information recommendation unit (106) derives a consulting suitable expert corresponding to the consulting request item, The matching unit 107 further performs a function of extracting information on the consulting proper expert from the expert information DB 23 and transmitting the extracted information to the user terminal 1, A consulting right expert who is selected by the user among the right consulting experts is input from the user terminal 1, And transmits the information on the user stored in the user information DB 21 and the consulting acceptance request to the terminal 3, and transmits the information on the user and the consulting acceptance request to the expert terminal 3 to the user terminal 1. The consulting acceptance request is transmitted to the user terminal 1 via the network.

The search information input unit 103 of the on-line platform system may further include a function of receiving an interactive sentence from the user terminal 1 to utilize the interactive search method, (104) analyzes and inferences the interactive sentences input from the search information inputting section (103) and extracts information of related companies and experts from the company information DB (22) and the expert information DB (23) To the user terminal (1).

The present invention can directly search a company and an expert suitable for a process and a technique desired by a user and provides an interactive search UI for providing inference information by applying information of a database instead of a simple keyword search at this time, It is possible to provide a result close to the search result desired by the user. When a user requests the selection of a company and an expert directly through the platform of the present invention, the user inputs information such as an idea and a product requirement specification, derives a suitable candidate company and an expert using the information stored in the database, To provide users with the ability to search for appropriate companies and professionals. It is not merely a link between users and companies, but it also has the advantage of reducing the burdens that users may experience and making better products by connecting specialists so that they can receive necessary consulting for each stage of production or sector.

1 is a schematic diagram showing an embodiment of an online platform system of the present invention.
2 is a schematic diagram showing an embodiment of an online platform system of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise.

In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

In the configuration of the embodiment of the present invention, constituent elements which are not separately described below can be configured by adopting a known configuration within a range obvious to a general technician. For example, a web server or a web application server (WAS Server) should be provided in order to implement a configuration in which an applicant accesses the system through a predetermined account, and a DB server must be provided in the same equipment as the web application server But not limited to these. It is needless to say that various known standard formats such as xml and json may be used for data between the server and the server and between the client and the server. As a principle of search engine operation, the operation principle of known search engines such as Naver, Google, Daum, Amazon, etc. can be used.

Hereinafter, each component of the present invention will be described in detail.

The online platform system of the present invention is an online platform system in which the user terminal 1, the enterprise terminal 2, the expert terminal 3, and the user terminal 3 are connected via the user terminal 1, the enterprise terminal 2, the expert terminal 3, And a matching server 100 connected to the network. The matching server 100 includes a user registration unit 101, a service provider registration unit 102, a search information input unit 103, an information search unit 104, a recommendation request information input unit 105, an information recommendation unit 106, (107).

Referring to FIG. 1, the user accesses the matching server 100 through the wired / wireless communication network through the user terminal 1 when using the online platform system. The user can be, but is not limited to, a factory-less manufacturing company. The user registration unit 101 stores user information in the user information DB 21, which is information on the user inputted through the user terminal 1 from the user. The user information DB 21 is a database that stores information about users. The user information input from the user includes user's idea about the product, product requirement specification desired by the user, major production item, level and capability of production manufacturing technology, field requiring assistance, production manufacturing step requiring help, user's address and contact information And the like. The user information DB 21 stores information on the user, and more specifically, the user information DB 21 includes information on a user's product, a product demand specification desired by the user, a major product item, A production and manufacturing step requiring assistance, user basic information such as a user's address and a contact, and the like as fields.

Service providers include businesses and experts. Companies include soft power companies and professional manufacturing companies. However, the present invention is not limited thereto. Soft power in manufacturing refers to intangible production activities such as planning design prior to unreasonable manufacturing stages, including engineering, design, and embedded software. The service provider registration unit 102 stores enterprise information, which is information on the enterprise that is input from the enterprise through the enterprise terminal 2, in the enterprise information DB 22. [ The company information DB 22 is a database that stores information on a company. In addition, the service provider registration unit 102 stores expert information, which is information related to the experts received from the experts through the expert terminal 3, in the expert information DB 23. The expert information DB 23 is a database for storing information on experts. The above corporate information input by the enterprise may include basic information such as production capacity, technology level, address and telephone number of company, development contents, core competency factors, and the like. The company information DB 22 stores information on a company. More specifically, the company information DB 22 includes company basic information such as production capability, technology level, address and telephone number of a company, development contents, core competence factors, Company information, and excellent company information according to fields can be stored as fields. Expert information received from an expert may include expert basic information such as an expert's address and telephone number, and core competency elements. The expert information DB 23 stores information on experts, and more specifically, expert basic information such as an expert's address and a telephone number, core competency elements, excellent expert information according to production and manufacturing stages, As shown in FIG.

Using the online platform system, users can directly search for companies and experts who are suitable for the desired process and technology. To this end, the search information input unit 103 receives search information from a user through the user terminal 1 to search for a desired company or expert. The information retrieval unit 104 retrieves information about a company and an expert that includes information related to the retrieval information among the information stored in the company information DB 22 and the expert information DB 23 using the retrieval information And transmits the extracted information to the user terminal 1. The information on the transferred company and the expert is outputted through the UI of the user terminal 1 in order of relevance. A known search engine operating principle can be used as a method for extracting information on related companies and experts and arranging them in order of relevance. Or the information retrieval unit 104 compares the words included in the retrieval information with the information stored in the company information DB 22 and the expert information DB 23 to determine that the higher the degree of matching is, It can be a method. However, the present invention is not limited thereto.

Using the online platform system, the user can get recommended company and expert through user related information. The recommendation request information input unit 105 receives an appropriate enterprise and expert selection request from the user terminal 1. When the appropriate company and expert selection request is input from the recommendation request information input unit 105, the information recommendation unit 106 refers to the enterprise information DB 22 using the information about the user stored in the user information DB 21 And extracts the appropriate company and expert information from the expert information DB 23, and transmits the extracted appropriate company and expert information to the user terminal 1. The information about the users used to derive appropriate firms and experts can be user ideas and product requirements in particular. As a method of deriving a proper company and expert with information on such a user, the user is selected by comparing the information about the user with the information about the expert, and then the related experts are selected, and the experts are informed about the user, There may be a matching method. Alternatively, there may be a method of recommending experts and companies having the highest numerical value by comparing the information about the user with the information about the expert and the information about the company and quantifying the similar degree. Or the user can be derived from the company information DB 22 and the expert information DB 23 according to a known search engine operating principle with information on the user.

The user selects a desired company and an expert from the appropriate company and expert derived by the information retrieval unit 104 or the information recommendation unit 106 and selects which company and expert is selected based on the user terminal 1 ≪ / RTI > The matching unit 107 receives the company and the expert selected by the user and transmits an acceptance request together with the information on the user to the terminal of the selected company and the expert. When the selected company and the specialist confirm the information about the user through each terminal and then accept the matching, the acceptance request is approved. The matching unit 107 receiving the acceptance request acknowledgment through each of the terminals transmits an acceptance request acknowledgment to the user terminal 1 and informs the user that the acceptance request has been approved.

Referring to FIG. 2, the matching server 100 may further include a consulting request information input unit 108 and a consulting function performing unit 109.

The consulting request information input unit 108 receives the expert consulting request and the consulting request of the user from the user terminal 1. At this time, the consulting request information input unit 108 can receive the consulting request items classified by the manufacturing and manufacturing steps. More specifically, it can be divided into the sub-steps of the production and manufacturing stages, namely, the idea accepting step, the design and drawing step, the raw material determining step, the prototype manufacturing step, the mass production equipment manufacturing step, and the mass production step. In addition, the above consulting request items can be input by sector. For example, it can be divided into categories such as quality management, marketing, and design, which are sub-fields of the manufacturing field. The user can freely create a consulting request item for each step and input it through the user terminal 1. [

The consulting function performing unit 109 receives the consulting contents from the expert terminal 3 and transmits the consulting contents to the user terminal 1. [ At this time, the consulting function performing unit 109 may receive the consulting contents classified by the manufacturing and manufacturing steps. More specifically, it can be divided into the sub-steps of the production and manufacturing stages, namely, the idea accepting step, the design and drawing step, the raw material determining step, the prototype manufacturing step, the mass production equipment manufacturing step, and the mass production step. In addition, the contents of the above consulting can be input by sector. For example, it can be divided into categories such as quality management, marketing, and design, which are sub-fields of the manufacturing field. The expert freely creates the consulting contents for the consulting request sent by the user, inputs the consulting contents to the expert terminal 3, and transmits the inputted consulting contents to the user terminal 1 through the consulting function performing unit 109 .

The information recommendation unit 106 further performs the additional functions by further including the consulting request information input unit 108 and the consulting function performing unit 109 in the matching server 100. The information recommendation unit 106 derives a consulting appropriate expert corresponding to the consulting request item input to the consulting request information input unit 108 from the expert information DB 23, And transmits the extracted information to the user terminal 1. The method of deriving the consulting proper expert from the expert information DB 23 is the same as the method of deriving the consulting request from the expert information DB 23, There may be a method of deriving an expert in which the raw material determination step is stored in the core capability element field from the expert information DB 23. However, it is not limited thereto.

The matching unit 107 further performs a further function as the matching server 100 further includes a consulting request information input unit 108 and a consulting function performing unit 109. The user who receives the information on the consulting proper professional by the information recommendation unit 106 at the user terminal 1 selects one or a plurality of consulting suitable experts among them. The matching unit 107 receives the consulting suitable experts selected by the user from the user terminal 1 among the consulting proper experts derived by the information recommendation unit 106 and transmits the consulting right experts to the respective terminals of the selected consulting proper experts And transmits information on the user stored in the user information DB 21 and a consulting acceptance request. If the selected consulting proper professional wants to comply with the consulting request of the user, the selected consulting proper professional inputs the acceptance request approval through the terminal of the selected consulting proper professional having received the consulting acceptance request, And transmits the approval to the user terminal 1.

Referring to FIG. 2, the matching server 100 may further include a reliability evaluation input unit 110 and a registration decision unit 111.

The reliability evaluation input unit 110 receives a reliability evaluation of a company or an expert to which a registered expert registers newly, through the expert terminal 3 of the experts registered in the past. The reliability evaluation can be entered as a numerical value based on information such as the skill level and capability inputted by the company to be newly registered.

The registration decision unit 111 decides whether to register the company or expert to be newly registered based on the reliability evaluations, and the registration decision method includes, for example, an average reliability evaluation value , There may be a method of allowing registration. The registration decision unit 111 stores the company information or the expert information of the company or expert to be newly registered in the company information DB 22 or the expert information DB 23 Register.

As the matching server 100 further includes the reliability evaluation input unit 110 and the registration determination unit 111, the company information DB 22 and the expert information DB 23 may further include a reliability evaluation field . The reliability evaluation field stores the reliability evaluation.

The service provider registration unit 102 may be configured such that the matching server 100 further includes the reliability evaluation input unit 110 and the registration determination unit 111 so that the company or expert (2) or the expert terminal (3), the company information and the expert information of the company or expert to be newly registered are transmitted to the expert terminal 3). The pre-registered expert performs the reliability evaluation through the company information and the expert information of the newly registered company or expert received through the expert terminal 3, and the reliability evaluation is performed by the expert terminal 3, To the reliability evaluation input unit 110. [

Referring to FIG. 2, the matching server 100 may further include a user evaluation input unit 112.

The user evaluation input unit 112 receives a usage evaluation of a service provided from an enterprise or an expert matched through the on-line platform system of a previously registered user through the user terminal 1. The use evaluation may include a use period, a rating, and the like.

As the matching server 100 further includes the user evaluation input unit 112, the company information DB 22 and the expert information DB 23 further include an existing user evaluation field in which the existing user evaluation is stored . The existing user evaluation is provided to the user as one of the information about the enterprise or the expert when the user or the enterprise or the expert is searched or recommended.

2, the search information input unit 103 of the matching server 100 can further perform an operation of receiving an interactive sentence from the user terminal 1 in order to utilize the interactive search method have. At this time, the interactive search method includes a known interactive search method, typically Google's interactive search method. The user terminal 1 may further include a speech recognition unit for recognizing the user's voice and converting the received user's interactive sentence into data and transmitting the data to the search information input unit 103. When the user speaks an interactive sentence to the speech recognition unit, the speech recognition unit recognizes the text and converts the text into text and transmits the text to the search information input unit 103. [

The information retrieval unit 104 analyzes and inferences the interactive sentences input from the retrieval information input unit 103 and obtains information on related companies and experts from the company information DB 22 and the expert information DB 23 And transmits the extracted information to the user terminal 1. The method of analyzing and inferring the interactive sentences may be followed by a known interactive retrieval method. Or a known data mining method can be used. For example, Google's interactive search method is the same as the existing keyword search method when the user first conducts an interactive search. However, if an interactive search is performed after the first, the interactive sentence used before the search and the Use the search results to determine the intent of the user. More specifically, if the user first interactively searches with an interactive sentence called "Who is Tom Cruise", it will display search results for a person named Tom Cruise, similar to the traditional keyword search method. If the user subsequently interactively searches for the phrase "How old is he", then based on the previous "Who is Tom Cruise" and "Tom Cruise" "he" in the interactive sentence "is he" corresponds to Tom Cruise, showing the age of Tom Cruise as a search result.

Hereinafter, a description will be given of a process in which a user who is a factory-less manufacturing company uses an online platform system of the present invention to match a company and an expert suitable for a desired process and technology. Users can use two methods to find suitable companies and professionals. First, a user can directly search for a suitable company and an expert through a user UI provided through the user terminal 1. [ When a user enters a desired process and technology into the search box, a list of the specialists possessing the process and technology and the expert knowledge of such process and technology are displayed. The user may input the interactive sentence " who is the authority of the quality management field " through the voice recognition unit of the user terminal 1 to output the interactive search result. The user can select a company and an expert desired by the user from the list of the output company and the expert, and send the acceptance request to the selected company and the expert through the user terminal 1. [ Second, users can get the right companies and experts from online platform systems. When the user inputs the idea and the product requirement specification to be implemented through the user terminal 1, the online platform system makes use of the company information DB 22 and the expert information DB 23, . The appropriate company and expert candidates list is displayed to the user through the user UI of the user terminal 1. The user selects a company and an expert desired by the user from the output list, Can send an acceptance request to. The company and the specialist who received the acceptance request can accept it. When the acceptance request is accepted, the approval of the acceptance request is transmitted to the user terminal 1. Through the online platform of the present invention, the enterprise and the expert matched with the user can provide various services and consulting services corresponding to the production, manufacturing stage, field, etc. to the user through the online platform of the present invention. When the user wishes to receive consulting from an expert, the user inputs an expert consulting request via the user terminal 1. At this time, the user inputs the consulting request together. A variety of requests can be freely entered into the consulting request, such as the implementation of detailed design content and process analysis for mass production. Based on the consulting request, the information recommendation unit 106 derives a consulting suitable expert from the expert information DB 23 and transmits it to the user terminal 1. The user selects one or more suitable consulting experts based on the information on the consulting proper professional received by the user terminal 1 and inputs the selected expert to the user terminal 1. [ And transmits information about the user stored in the user information DB 21 and a consulting acceptance request to the expert terminal 3 of each consulting and appropriate expert selected by the user. Upon receipt of the information on the user and approval of the consulting acceptance request from the selected consulting proper expert terminal 3 having received the consulting acceptance request, the approval of the consulting acceptance request is transmitted to the user terminal 1. [ The matching user and the expert can freely exchange query and consulting contents through the online platform system. After the user receives the service provision from the matching company and the expert through the online platform system, the user can input the user evaluation for each company and the expert. User evaluation can be freely created and entered. The input user evaluation is stored in the user evaluation field of the company information DB 22 and the expert information DB 23. The user evaluation is utilized as information of a company and an expert provided when another user searches for an enterprise and an expert.

If a new company or expert who is not an existing registered company or an expert wants to register, a new company or expert will apply for registration through each terminal. At this time, the enterprise or the expert should input information such as production capacity, technology level, enterprise basic information, core competency element, and expert basic information through each terminal. Such information is transmitted to a terminal of existing registered experts. Based on such information, reliability evaluation of existing registered experts is input to each expert terminal 3. The reliability evaluation is input by evaluating the factors such as the skill level and capability of the new company or the expert. When the average of the reliability evaluation values becomes equal to or more than a predetermined value, a new company or an expert is registered, and the information is stored in the company information DB 22 or the expert information DB 23, respectively.

The foregoing description sets forth the best mode of the invention, and is provided to illustrate the invention and to enable those skilled in the art to make and use the invention. The written description is not intended to limit the invention to the specific terminology presented.

Thus, while the present invention has been described in detail with reference to the above examples, those skilled in the art will be able to make adaptations, modifications, and variations on these examples without departing from the scope of the present invention. In other words, in order to attain the intended effect of the present invention, all the functions shown in the drawings are separately included or all the steps shown in the drawings are not necessarily followed in the order shown, and the technical scope of the present invention In the following description.

1: User terminal
2: Enterprise terminal
3: Expert terminal
4: Network
100: matching server
101: User registration section
102: Service Provider Register
103: Search information input section
104: Information retrieval unit
105: Recommendation request information input unit
106: Information Recommendation Department
107:
108: Consulting request information input unit
109: Consulting function performing department
110: reliability evaluation input unit
111: registration decision unit
112: user evaluation input section
21: User information DB
22: Company Information DB
23: Expert Information DB

Claims (9)

A matching server 100 connected to the user terminal 1, the enterprise terminal 2 and the expert terminal 3 via the user terminal 1, the enterprise terminal 2, the expert terminal 3 and the wired / And an online platform system,
The matching server (100)
A user registration unit 101 for receiving user information from the user terminal 1 and storing the received user information in the user information DB 21;
A service provider registration unit 102 for receiving enterprise information from the enterprise terminal 2 and storing the enterprise information in the enterprise information DB 22 and receiving the expert information from the expert terminal 3 and storing the information in the expert information DB 23 );
A search information input unit 103 for inputting search information for searching for a company or an expert desired by the user from the user terminal 1;
Extracts information on related companies and experts from the company information DB 22 and the expert information DB 23 according to the search information input from the search information input unit 103 and transmits the extracted information to the user terminal 1 (104);
A recommendation request information input unit 105 for receiving an appropriate company and expert selection request from the user terminal 1;
When receiving the appropriate company and expert selection request from the recommendation request information input unit 105, the company information DB 22 and the expert information DB 23 An information recommendation unit 106 for deriving an appropriate company and an expert from the user and extracting the appropriate company and expert information and transmitting the information to the user terminal 1; And
The appropriate company and expert selected by the user from the appropriate enterprise and experts derived by the information retrieval unit 104 or the information recommendation unit 106 are received from the user terminal 1 And transmits the information on the user and the acceptance request to the terminal of the user terminal 1, A matching unit 107 for transmitting the data to the mobile station;
Lt; / RTI >
The matching server (100)
A consulting request information input unit 108 for receiving expert consulting requests and consulting requests from the user terminal 1;
A consulting function performing unit 109 for receiving consulting contents from the expert terminal 3 and transmitting the consulting contents to the user terminal 1;
A reliability evaluation input unit 110 receiving a reliability evaluation of an enterprise or an expert who is newly registered through the expert terminal 3 of previously registered experts; And
Based on the reliability evaluation, whether to register the company information or the expert information of the company or expert to be newly registered in the company information DB 22 or the expert information DB 23 111);
Further comprising:
The information recommendation unit 106,
Extracting a consulting appropriate expert corresponding to the consulting request item and extracting information on the consulting appropriate professional from the expert information DB 23 and transmitting the extracted information to the user terminal 1,
The matching unit (107)
The consulting right expert who is selected by the user among the consulting right experts derived by the information recommendation unit 106 from the user terminal 1 and transmits the user information DB to the expert terminal 3 of each selected consulting right expert Receives the consultation acceptance request from the expert terminal (3) of the selected expert consulting expert who has received the information on the user and the consulting acceptance request transmitted thereto To the user terminal 1,
The service provider registration unit (102)
When the company or expert to be newly registered inputs the company information or the expert information through the enterprise terminal 2 or the expert terminal 3,

And transmits the company information and the expert information to each of the expert terminals (3) of the previously registered experts.
The method according to claim 1,
The user information DB (21)
User idea, product requirement, main product, production

Manufacturing skills level and competence, areas that need help, production that needs help

A manufacturing step, and user basic information as fields.
The method according to claim 1,
The company information DB 22,
Production capacity, technology level, basic information of company, development contents, core competence factor, production

An excellent company information by manufacturing step, and an excellent company information by field.
The method according to claim 1,
In the expert information DB 23,
Expert basic information, core competence factor, production

An excellent expert information for each step of manufacturing, and excellent expert information for each field.
delete The method according to claim 1,
The consulting request information input unit 108,
When the expert consulting request and the consulting request are inputted from the user terminal 1, the consulting request is classified into an idea accepting step, a design and drawing step, a raw material determining step, a prototype manufacturing step, a mass production equipment manufacturing step, Performing an expert consulting request and receiving the consulting request;
The consulting function performing unit 109,
When the consulting contents are received from the expert terminal 3, the consulting contents are classified into an idea reception step, a design and drawing step, a raw material determination step, a prototype production step, a mass production equipment production step, and a mass production step, Wherein the online platform system
delete The method according to claim 1,
The matching server (100)
A user evaluation input unit 112 receiving an existing user evaluation on a service provided from a matching company or an expert through the user terminal 1;
Further comprising:
The enterprise information DB 22 further includes an existing user evaluation field in which the existing user evaluation is stored;
Wherein the expert information DB (23) further includes an existing user evaluation field in which the existing user evaluation is stored.
9. The method according to any one of claims 1 to 4, 6, and 8,
The search information inputting section 103,
And further receives an interactive sentence from the user terminal 1 to utilize the interactive search method,
The information retrieval unit 104,
Analyzes and inferences the interactive sentences received from the search information input unit 103 and extracts information on related companies and experts from the company information DB 22 and the expert information DB 23, To the online platform system.

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