KR101941989B1 - Project matching method, apparatus and program using blockchain - Google Patents

Abstract

Disclosed is a task matching method performed by a computer, the method comprising the steps of: collecting information on at least one task registration subject; collecting information about at least one task performing subject; collecting information about at least one task; recording the collected information in a block chain; and matching at least one task with at least one performer based on the information recorded in the block chain.

Description

{PROJECT MATCHING METHOD, APPARATUS AND PROGRAM USING BLOCKCHAIN}

The present invention relates to a task matching method, an apparatus, and a program using a block chain.

Block Chain is a data distribution processing technology that distributes and stores all data to be managed by all users participating in the network. Distributed Ledger Technology (DLT) 'or' Public Transaction Book 'in that it is a technology that all participants of a network share, not a transaction entity or a specific institution that holds transaction information. . A block chain is a chain of blocks that contain transactional content.

The block chain is the core concept of de-centralization, which is aimed at P2P (peer-to-peer) transactions, away from the existing financial system that guarantees and manages all transactions in financial institutions. P2P refers to a communication network that connects personal computers without a server or client, and each connected computer acts as a server and a client and shares information.

In the existing financial system, financial companies have stored transaction records in a central server. In the block chain based on P2P method, transaction information is linked in blocks and then all the participants share it.

Virtual currency is also called electronic currency or cryptography, and refers to money that is not traded in bank notes or coins and is traded online. Virtual currencies are valued according to rules set by the original inventor, unlike the general currency issued by governments or central banks. In addition, due to the decentralization feature, government and central banks do not manage transaction details and are distributed based on block chain technology.

MICE is a term preceded by English words such as meetings, incentive trips, conventions, exhibitions and events. In the narrow sense, MICE is a promising industry with international conferences and exhibitions as its main axis. , And the broader concept is the mixed-use industry including participant-oriented reward tourism and mega events.

Registered Patent Publication No. 10-0339055, Registered May 21, 2002

An object of the present invention is to provide a task matching method, an apparatus, and a program using a block chain.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems which are not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a task matching method using a block chain, comprising: collecting information on at least one task registration subject (S101); collecting information about at least one subject (S103), collecting the collected information in a block chain (S104), and determining, based on the information recorded in the block chain, at least one performing entity And matching at least one task (S105).

The step S105 may include receiving a registration request for the first task from the first registering entity (S106), verifying information about the first registering entity using the block chain (S107) And registering the first task in the task pool (S108).

The step S105 may include a step S109 of receiving a matching request from the first performing entity, a step S110 of verifying information on the first performing entity using the block chain, (S111) of determining at least one task to be matched with the first performer in the task pool based on information about the subject, and providing information on the determined task to the first performer (S112 ); . ≪ / RTI >

The step S105 may include receiving a registration request from a second performing entity in operation S113, verifying information on the second performing entity using the block chain in operation S114, And registering the subject in the performing subject pool (S115).

In addition, the step (S105) includes the steps of: receiving a matching request from a second registering entity (S116); acquiring information on a matching subject assignment from the second registering entity (S117) (S118) of determining at least one performer matching the matching subject in the performing subject pool (S118), providing information on the determined subject to the second subject (S119) . ≪ / RTI >

The step S105 may include writing the matching result to the block chain S120, obtaining task performance information according to the matching result S121, (Step S122).

The step (S101) includes the steps of receiving information about the third registration subject from the third registration subject (S123) and paying virtual money as compensation for the information to the third registration subject (S124) Wherein the step (S102) comprises: receiving information on the third performing entity from the third performing entity (S125); and paying virtual money as compensation for the information on the third performing entity (S126), wherein the step (S103) comprises: receiving information about the task from the fourth enrollee and the fourth enrollee (S127); and receiving information about the task received from the fourth enrollee (S128) of cross-validating information on a task received from the fourth entity, and if the cross-validation is successful, paying virtual money as compensation for the information to the fourth enrollment entity and the fourth enforcement entity (S129) The.

In addition, the step (S128) may further include the steps of: (S130) granting a benefit point to the reliability scores of the fourth enrollee and the fourth enrollee when the cross validation is successful (S130) (S131) judging an object to which the erroneous information is uploaded based on the information recorded in the chain, and a step (S132) of giving a penalty to the reliability score of the object to which the erroneous information has been uploaded, (S133) of matching the subject of the registrant whose reliability score is equal to or greater than a preset reference value and the subject whose reliability score is equal to or greater than the reference value with each other.

An apparatus according to an aspect of the invention for solving the above-mentioned problems includes a memory for storing one or more instructions and a processor for executing the one or more instructions stored in the memory, the processor executing the one or more instructions Collecting information on one or more task registration subjects, collecting information on one or more task execution subjects, collecting information on one or more tasks, recording the collected information on a block chain, And performing at least one task matching step with at least one task based on the information recorded in the block chain.

According to an aspect of the present invention, there is provided a computer program stored in a computer-readable recording medium for performing a task matching method using a block chain according to an embodiment of the present invention, do.

Other specific details of the invention are included in the detailed description and drawings.

According to the disclosed embodiment, it is possible to prevent a candidate from bidding on a task based on false information by managing each task information and corresponding applicant information in a block chain using a block chain. For example, support information for the applicant to bid on the assignment information, selection information, and performance information corresponding thereto are all managed through a block chain. If the applicant fails to perform the assignment normally due to false information, the information is also stored And can be managed to make disadvantages in future support.

In addition, since each task bidding information and support, selection, and execution information thereof are transparently managed through a block chain, each business execution information stored in the block chain can be reviewed and verified.

The effects of the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description.

1 is a diagram illustrating a system according to one embodiment.
2 is a flowchart illustrating a task matching method using a block chain according to an exemplary embodiment.
3 is a flowchart illustrating a task registration method according to an embodiment.
4 is a flowchart illustrating a method of matching an assignment according to an exemplary embodiment.
FIG. 5 is a flowchart illustrating an execution subject registration method according to an embodiment.
6 is a flowchart illustrating a method of matching an execution subject according to an embodiment.
7 is a flowchart illustrating a method for recording a task performance result according to an embodiment.
8 is a flowchart illustrating a virtual money payment method according to an embodiment
9 is a flowchart illustrating a reliability evaluation method according to an embodiment.
10 is a configuration diagram of an apparatus according to an embodiment.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, Is provided to fully convey the scope of the present invention to a technician, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element. Like reference numerals refer to like elements throughout the specification and "and / or" include each and every combination of one or more of the elements mentioned. Although "first "," second "and the like are used to describe various components, it is needless to say that these components are not limited by these terms. These terms are used only to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical scope of the present invention.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense that is commonly understood by one of ordinary skill in the art to which this invention belongs. In addition, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

As used herein, the term "part" or "module" refers to a hardware component, such as a software, FPGA, or ASIC, and a "component" or "module" performs certain roles. However, "part" or " module " is not meant to be limited to software or hardware. A "module " or " module " may be configured to reside on an addressable storage medium and configured to play back one or more processors. Thus, by way of example, "a" or " module " is intended to encompass all types of elements, such as software components, object oriented software components, class components and task components, Microcode, circuitry, data, databases, data structures, tables, arrays, and variables, as used herein. Or " modules " may be combined with a smaller number of components and "parts " or " modules " Can be further separated.

In this specification, a computer means all kinds of hardware devices including at least one processor, and may be understood as meaning a software configuration that operates in the corresponding hardware device according to the embodiment. For example, the computer may be understood to include, but is not limited to, smartphones, tablet PCs, desktops, laptops, and user clients and applications running on each device.

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

Although each step described in this specification is described as being performed by a computer, the subject of each step is not limited thereto, and at least some of the steps may be performed in different apparatuses according to the embodiment.

1 is a diagram illustrating a system according to one embodiment.

Referring to FIG. 1, a management server 100, block-chain holding servers 200, and user terminals 300 are shown.

In the disclosed embodiment, each of the user terminals 300 transmits information to at least one of the management server 100 or the block chain holding servers 200, and the transmitted information is propagated to the block chain holding servers 200 And stored and managed on each server.

In the disclosed embodiment, the block chain holding servers 200 authenticate the information on the subject registration subject and the subject of the assignment, task information, task performance information, bid information, selection information, matching information, And a block chain for recording information.

Each of the user terminals 300 transmits / receives information necessary for using the task matching service according to the disclosed embodiment to / from the management server 100. In one embodiment, each of the user terminals 300 may correspond to a task performing entity and a registration entity.

The management server 100 can use the information stored in the block chain holding servers 200 to acquire, store and verify information necessary for platform operation.

The virtual money according to the disclosed embodiment is understood as a concept of collecting all kinds of non-real money in which transaction details are managed through block chains such as electronic money and password.

The virtual money according to the disclosed embodiment may be a virtual money in the form of a coin or a virtual money in the form of a token which utilizes the infrastructure of another coin such as the Ethernet network, It is not limited.

In one embodiment, the task matching service according to the disclosed embodiment may be serviced as a form utilizing an infrastructure of an existing block chain platform such as Ethernet, or may be serviced using a proprietary infrastructure when a main net is developed in the future.

In one embodiment, the virtual currency in accordance with the disclosed embodiment is paid as a reward for the use of the service according to the disclosed embodiment, can be utilized for transactions between users, and can be paid to users who have a stake in the initial ICO have.

In one embodiment, the virtual money paid for each of the user terminals 300 is managed by the management server 100 as already created or issued, and can be paid according to the activity of each of the user terminals 300 .

For example, the management server 100 may perform an operation for generating a block storing information and activity details of the user terminals 300, and may generate a block through a proof of work. According to the embodiment, the management server 100 can receive the virtual money generated in exchange for it and distribute it to the user terminals 300. [

As another example, the management server 100 may manage already issued virtual currency, and may issue additional virtual currency as the case may be. The management server 100 can verify the information stored in the block chain holding servers 200, determine the integrity thereof, and pay the virtual money according to the activity to the user terminals 300 based thereon.

In one embodiment, the management server 100 may verify the information directly or through an external verification server.

In another embodiment, as information is recorded by each of the user terminals 300, virtual money may be generated and paid to the user terminals 300 according to predetermined rules, and the virtual money may be mined (mined) .

In general, the extraction of virtual money is performed by one of the following methods: Proof Of Work, Proof Of Stake, and Proof Of Importance. The above methods are one of the distributed sum algorithms used to guarantee the reliability of the distributed system.

In the disclosed embodiment, the transactions between the user terminals 300 and the corresponding virtual money payment method are performed by a Smart Contract. According to the embodiment, the task execution contract according to the task matching can also be performed by the smart contract, and at least part or all of the compensation according to the task execution may be paid through the virtual money.

In the embodiment shown in FIG. 1, the first user terminal 310 may send and receive necessary information to the management server 100 providing the task matching service according to the disclosed embodiment.

Hereinafter, each of the steps is described as being performed by the management server 100, but the subject performing each step is not limited thereto, and all or a part of each step may be performed by another subject.

2 is a flowchart illustrating a task matching method using a block chain according to an exemplary embodiment.

In this specification, the task is understood to mean, but not limited to, procurement performed by the government and bidding announcement for it. For example, the registrant of the assignment may include, but is not limited to, a public enterprise, a private enterprise, an individual, etc., other than the government.

The types of tasks can also include various types such as in-kind, services, etc., and are not limited to a specific kind. For example, the assignment may be for the delivery of a specific product, or for research services or professional services.

In step S101, the computer collects information on one or more task registration subjects.

In this specification, the task is understood to mean, but not limited to, procurement performed by the government and bidding announcement for it. For example, the registrant of the assignment may include, but is not limited to, a public enterprise, a private enterprise, an individual, etc., other than the government.

In step S102, the computer collects information about one or more task performing subjects.

In this specification, the task performing entity may mean a company (applicant) performing the task bidding, but is not limited thereto. In this specification, the term " business entity " is understood to mean not only a business entity such as an individual business entity or a corporation but also a general person, and does not limit the specific object.

In step S103, the computer collects information about one or more tasks.

In one embodiment, the information on the task can include, but is not limited to, information on the type of task, the task performing entity, the task registration entity and information on each entity, the task execution result, and history. For example, the information on the task may include all of the information on tasks that have already been performed.

In step S104, the computer records the collected information in the block chain.

In one embodiment, the information recorded in the block chain may be stored in the block chain holding servers 200 in a distributed manner.

In step S105, the computer matches at least one task with at least one task based on the information recorded in the block chain.

In the disclosed embodiment, the computer can use the block chain to securely manage the previously performed tasks and the information about each registration subject and the execution subject. The information stored by the block chain can be acknowledged because it is difficult for forgery and falsification. Thus, as with procurement bids in public institutions, the process of requesting and bidding, selecting and executing tasks among private companies can be carried out without a separate intermediate manager.

Depending on the embodiment, a block chain system according to the embodiment disclosed in the global MICE task can be used. For example, if a foreign company (subject registration) searches for a company (performer) to perform a MICE task in Korea, it would have to contract through an agency. However, the information about the entity that the agency can provide is limited, and the reliability of the information provided is not guaranteed either.

According to the disclosed embodiment, it is possible to perform matching between a registration subject and an execution subject by using a platform based on a block chain without an agency, and even if the agency mediates, the registration subject and the execution subject can receive more accurate and rich information have.

In addition, since it is possible to replace the official certificate by using the block chain, the overseas matching company can use the task matching service without the intermediary (agency).

In one embodiment, the respective task information and the corresponding performing entity information can be managed in a block chain, from which the performing entity can be prevented from bidding on the task based on the false information. For example, support information, selection information, and performance information that are bidded by the performing entity to the task information are all managed through a block chain. If the task is not normally performed due to false information, the information is also transmitted through the block chain It can be stored and managed to make disadvantages in future support.

In addition, since each task bidding information and support, selection, and execution information thereof are transparently managed through a block chain, each business execution information stored in the block chain can be reviewed and verified.

3 is a flowchart illustrating a task registration method according to an embodiment.

In the above-described step S105, the computer can perform the step S106 of receiving the registration request for the first task from the first registration subject.

That is, the computer receives the registration request for the first task from the task registration subject who requests to perform the task, and the registration request includes information on the task registration subject and information on the first task.

Further, the computer may perform step S107 of verifying information on the first registrant using the block chain.

In one embodiment, the computer can verify information about the challenges registered by the first and second registration subjects based on information previously stored in the block chain. If the verification result shows that there is an error in the information about the first registrant, the computer may request correction or request proof.

Further, the computer may perform the step of registering the first task in the task pool (S108).

In one embodiment, the computer may have a database for providing a matching service in accordance with the disclosed embodiment separately from the block chain. In one embodiment, the computer may create and manage task pools that store matching tasks. When the information about the subject registration subject and the information about the subject uploaded by the subject registration subject is verified, the computer can register the subject in the subject pool.

4 is a flowchart illustrating a method of matching an assignment according to an exemplary embodiment.

In the above-described step S105, the computer can perform the step S109 of receiving the matching request from the first performing entity.

According to the embodiment shown in FIG. 4, the computer receives the task matching request from the task performing entity, thereby matching the appropriate task and providing information.

In addition, the computer may perform step S110 of verifying information on the first performer using the block chain.

As in FIG. 3, the computer verifies information associated with the first performer using information stored in the block chain. If the verification fails, the computer may request the first performing entity to correct the information or request the proof.

In addition, the computer may perform the step (S111) of determining at least one task to be matched with the first performing entity in the task pool, based on the information on the first performing entity.

In addition, the computer may perform step S112 of providing information on the determined task to the first performing entity.

In one embodiment, the computer can match the task based on the selectability and feasibility of each task of the first performer.

For example, it may not be possible to succeed (i.e., be selected) for the task information by satisfying the qualifications included in each task information. Therefore, the computer analyzes and compares the contents of the subject information and each task information, so that the probability that the subject can be selected for each task information can be calculated.

Various artificial intelligence models can be used to calculate the probability. For example, an artificial intelligence model capable of outputting the selection probability based on the subject information and the task information as learning models based on machine learning can be utilized.

In one embodiment, the artificial intelligence model can extract parameters for calculating the selection probability from each execution subject information and task information through natural language processing. The computer can input the extracted parameters into the artificial intelligence model and obtain the selection probability as an output to it. The artificial intelligence model can be learned by using the big data including the already finished task information and the information about the selected subject corresponding to each task information as the learning data. Depending on the embodiment, the learned model may include parameters obtained by preprocessing the big data.

In another embodiment, a model capable of extracting a parameter may be separately learned and used. Alternatively, after the computer guesses a parameter, an inferred result is provided to the performing entity, and then a parameter selected by the performing entity is input to the AI model So that the selection probability can be calculated.

For example, when the bidding for each task information is successful, the computer determines, based on the resource information of the performing entity, whether or not the corresponding performing entity has a resource capable of performing the task task, The possibility of performance can be evaluated.

In one embodiment, the computer may determine whether to duplicate bids and multiple bids of the performing entity. For example, the computer can determine how many times the resource of the performing entity should be provided with the task information.

Further, the computer may calculate the expanded resource of the performing entity based on the resource information of the performing entity and the multiple bid multiplier. For example, the computer can calculate the enlarged resource of the performing entity by multiplying the resource information of the performing entity by a multiple of multiple bids.

In one embodiment, the computer may provide the executing entity with a number of pieces of task information that the executing entity can support, based on the magnified resource. For example, when the multiple bidding multiple is three times, the computer can provide the executing entity with the amount of task information corresponding to three times the resource of the executing entity.

In one embodiment, the computer provides the task information based on the magnified resource, but when the required resource of the single task information exceeds the resource of the performing subject, the task information may not be provided to the performing subject. That is, the computer can provide the task information that requests the resource less than the resource of the performing subject, and provides the task information of a number such that the required resource of the entire task information is equal to or less than the extended resource of the executing subject.

FIG. 5 is a flowchart illustrating an execution subject registration method according to an embodiment.

In the above-described step S105, the computer can perform the step S113 of receiving the registration request from the second performing entity.

That is, the computer receives a registration request from the subject performing the task to support the task, and the registration request includes information on the subject performing the task.

In addition, the computer may perform step S114 of verifying information on the second performing entity using the block chain.

In one embodiment, the computer can verify information about the challenges that the second performer and the second performer have supported and performed based on the information previously stored in the block chain. If the verification result shows that there is an error in the information about the second performer, the computer may request correction or request proof.

In addition, the computer may perform the step S115 of registering the second performing entity in the execution subject pool.

In one embodiment, the computer may have a database for providing a matching service in accordance with the disclosed embodiment separately from the block chain. In one embodiment, the computer may create and manage a pool of performing principals that store matching subjects. When the verification of the information on the task execution subject is completed, the computer can register the execution subject in the execution subject pool.

6 is a flowchart illustrating a method of matching an execution subject according to an embodiment.

In the above-described step S105, the computer can perform the step S116 of receiving the matching request from the second registration subject.

According to the embodiment shown in FIG. 6, the computer receives the execution subject matching request for the task from the task registration subject, and can provide information by matching an appropriate execution subject accordingly.

In addition, the computer may perform step S117 of acquiring information on a matching subject task from the second registration subject.

In addition, the computer may perform the step of determining at least one performing entity matching the matching subject task in the performing subject pool (S118) based on the information on the matching subject task.

In addition, the computer may perform step S119 of providing the determined second entity with the information on the determined entity.

When the matching is performed according to the method described above with reference to Figs. 2 to 6, the computer can assist the performance of the assignment contract according to the matching using the block chain-based smart contract, and record the result in the block chain . In addition, information on the process and result of the task can be obtained, verified and evaluated, and then recorded and stored in the block chain again.

7 is a flowchart illustrating a method for recording a task performance result according to an embodiment.

In the above-described step S105, the computer may perform the step of recording the matching result in the block chain (S120).

Further, the computer may perform step S121 of acquiring task performance information according to the matching result.

The computer may further perform the step S122 of recording the obtained task performance information in the block chain.

In one embodiment, the task performance information may include evaluation information on the task performance process and results.

8 is a flowchart illustrating a virtual money payment method according to an embodiment

In the above-described step S101, the computer can perform the step S123 of receiving the information on the third registrant from the third registrant.

Further, the computer may perform the step (S124) of paying the virtual money as the compensation for the information to the third registering entity.

For example, when information is not sufficiently collected in a block chain, it is necessary to receive and record information from each subject. In this process, it is possible to induce the activation of information provision by providing compensation to the subjects who provided the information.

Therefore, the computer can pay virtual money to the subjects who provided the information. The virtual currency may be used to pay a service usage fee according to the disclosed embodiment, and may be used to pay a contract fee according to a matching result.

In the above-described step S102, the computer may perform the step S125 of receiving information on the third performing entity from the third performing entity.

Further, the computer may perform the step S126 of paying the virtual money as the compensation for the information to the third performing entity.

In the above-described step S103, the computer can perform the step S127 of receiving information on the task from the fourth enrollee and the fourth enrollee.

The information on the task may include information on the registered task, support information on the task, information on the selection, information on the selected company and the registered company, information on the task execution history and performance results.

In addition, the computer may perform step S128 of cross-validating the information on the task received from the fourth enrollee and the information on the task received from the fourth enrollee.

That is, the computer receives the task execution history from the registrant and the execution subject, respectively, and then cross-verifies the fact and confirms the fact.

In addition, when the cross validation is successful, the computer may perform the step S129 of paying virtual money as compensation for information to the fourth enrollee and the fourth enrollee.

9 is a flowchart illustrating a reliability evaluation method according to an embodiment.

In the step S128, if the cross validation is successful, the computer may perform a step S130 of assigning a benefit point to the reliability scores of the fourth enrollee and the fourth enrollee.

In one embodiment, a confidence score may be utilized when matching tasks and performers. The reliability score may be used to assign a point of interest or weight in matching, to be used as a minimum criterion requirement, or to classify each task, subject, and subject.

In addition, if the cross validation fails, the computer may perform step S131 of determining an object to which the erroneous information is uploaded based on the information recorded in the block chain.

In addition, the computer may perform a step S132 of imposing a penalty on the reliability score of the object to which the erroneous information is uploaded.

That is, if the verification through cross validation fails, the authenticity of each information can be evaluated based on the reliable information stored in the block chain. Even when the same information is not stored in the block chain, the related background information can be obtained and the authenticity of the information can be evaluated from this. Users who have uploaded the wrong information can deduct credibility scores.

In one embodiment, in this case, the user who uploaded the correct information may be given a credit score, and may be provided to confirm each other's uploaded information in the cross validation step according to the embodiment. In this case, additional information may be added to the reliability score if the information is provided on the wrong information.

In the above-described step S105, the computer may perform the step (S133) of matching the subjects of the registrant whose reliability score is equal to or greater than a predetermined reference value and the subject whose reliability score is equal to or greater than the reference value with each other.

10 is a configuration diagram of an apparatus according to an embodiment.

The processor 102 may include one or more cores (not shown) and a connection path (e.g., a bus, etc.) to transmit and receive signals to and / or from a graphics processing unit (not shown) .

The processor 102 in accordance with one embodiment performs the method described with respect to Figures 1-9 by executing one or more instructions stored in the memory 104. [

For example, processor 102 may collect information about one or more task enrollment subjects by executing one or more instructions stored in memory, collect information about one or more task performing entities, collect information about one or more tasks Records the collected information in a block chain, and matches at least one task with at least one task based on the information recorded in the block chain.

The processor 102 may include a random access memory (RAM) (not shown) and a read-only memory (ROM) for temporarily and / or permanently storing signals (or data) , Not shown). In addition, the processor 102 may be implemented as a system-on-chip (SoC) including at least one of a graphics processing unit, a RAM, and a ROM.

The memory 104 may store programs (one or more instructions) for processing and control of the processor 102. Programs stored in the memory 104 may be divided into a plurality of modules according to functions.

The steps of a method or algorithm described in connection with the embodiments of the present invention may be embodied directly in hardware, in software modules executed in hardware, or in a combination of both. The software module may be a random access memory (RAM), a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, a CD- May reside in any form of computer readable recording medium known in the art to which the invention pertains.

The components of the present invention may be embodied as a program (or application) and stored in a medium for execution in combination with a computer which is hardware. The components of the present invention may be implemented in software programming or software components, and similarly, embodiments may include various algorithms implemented in a combination of data structures, processes, routines, or other programming constructs, such as C, C ++ , Java (Java), assembler, and the like. Functional aspects may be implemented with algorithms running on one or more processors.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

100: Server
200: Block chain holding servers
300: user terminal
310: first user terminal

Claims (10)

A computer-implemented task matching method comprising:
Collecting information on at least one task registration subject (S101);
Collecting information on at least one task performing entity (S102);
Collecting information on at least one task (S103);
Recording the collected information in a block chain (S104); And
(S105) matching at least one task with at least one performing entity based on the information recorded in the block chain; Lt; / RTI >
The step (S103)
A step (S127) of receiving information on the task from the fourth enrollee and the fourth enrollee; And
(S128) cross-verifying information on a task received from the fourth enrollee and information on a task received from the fourth enrollee; Lt; / RTI >
The step (S128)
(S130), when the cross validation is successful, adding a benefit point to the reliability scores of the fourth enrollee and the fourth enrollee;
If the cross validation fails, determining (S131) an object to which the erroneous information is uploaded based on the information recorded in the block chain; And
A step (S132) of adding a penalty point to the reliability score of the object to which the erroneous information is uploaded; Lt; / RTI >
The step (S105)
(S133) matching the subject of the registrant whose reliability score is equal to or greater than a preset reference value and the subject whose reliability score is equal to or greater than the reference value with each other; Lt; / RTI >
The step (S105)
Evaluating the probability of selecting one or more subjects performing the at least one task; And
Evaluating the feasibility of the one or more task performing bodies for each of the one or more tasks based on the resource information of the one or more task performing bodies; Lt; / RTI >
Wherein evaluating the feasibility comprises:
Determining whether a duplicate bidding is made and a duplicate bidding multiple;
Wherein the step of calculating the expansion resource of the one or more task performing entity based on the resource information of the at least one task performing entity and the multiple multiple of bids is performed by multiplying the amount of each resource of the one or more task performing entity by the overlap multiple number, Calculating a resource; And
Wherein the at least one task performing entity provides information on tasks that can be supported by the at least one task performing entity to the at least one task performing entity based on the expanded resource, And the sum of the necessary resources of the entire task provided to the specific task performing entity is equal to or less than the extended resource of the specific task performing entity; / RTI >
Task matching method using block chain. The method according to claim 1,
The step (S105)
Receiving a registration request for a first task from a first registering entity (S106);
(S107) verifying information on the first registrant using the block chain; And
Registering the first task in the task pool (S108); / RTI >
Task matching method using block chain. 3. The method of claim 2,
The step (S105)
Receiving a matching request from the first performing entity (S109);
(S110) verifying information on the first performer using the block chain;
Determining (S111) at least one task to be matched with the first performer in the task pool based on the information about the first performer; And
Providing information on the determined task to the first performing entity (S112); / RTI >
Task matching method using block chain. The method according to claim 1,
The step (S105)
Receiving a registration request from a second performing entity (S113);
Verifying information about the second performing entity using the block chain (S114); And
Registering the second performing entity in the performing subject pool (S115); / RTI >
Task matching method using block chain. 5. The method of claim 4,
The step (S105)
Receiving a matching request from a second registering entity (S116);
A step (S117) of acquiring information on a task to be matched from the second registering entity;
Determining (S118) at least one performing entity matching the matching subject task in the performing subject pool based on the information on the matching subject task (S118);
Providing information on the determined performing entity to the second enrollment entity (S119); / RTI >
Task matching method using block chain. ◈ Claim 6 is abandoned due to the registration fee. The method according to claim 1,
The step (S105)
Recording the matching result in the block chain (S120);
Acquiring task performance information according to the matching result (S121); And
Recording the obtained task performance information in the block chain (S122); ≪ / RTI >
Task matching method using block chain. ◈ Claim 7 is abandoned due to registration fee. The method according to claim 1,
The step (S101)
A step (S123) of receiving information on the third enrollee from a third enrollee; And
(S124) paying virtual money as compensation for information to the third registering entity; Lt; / RTI >
The step (S102)
Receiving information on the third performing entity from the third performing entity (S125); And
Paying virtual money as compensation for information to the third performing entity (S126); Lt; / RTI >
The step (S128)
(S129) paying virtual money as compensation for information to the fourth enrollee and the fourth enrollee when the cross validation is successful; / RTI >
Task matching method using block chain. delete A memory for storing one or more instructions; And
And a processor executing the one or more instructions stored in the memory,
The processor executing the one or more instructions,
12. An apparatus for performing the method of claim 1. A computer program stored in a computer readable recording medium in combination with a computer which is hardware and which is capable of performing the method of claim 1. Description:

Images