KR102439766B1 - Required technology identification and analysis system - Google Patents

Abstract

A system for identifying and analyzing required skills is disclosed. a new RFP collection module for collecting new RFPs; a required technology identification module for identifying the required technology of the new RFP and the corresponding TBS collected in the new RFP collection module; A new RFP required technology evaluation module is constructed that evaluates the possibility of passing a proposal for a new RFP required technology by referring to the in-house technology for the required technology identified in the required technology identification module. According to the above-described technology identification and analysis system, the required technology based on TBS (technical breakdown structure) is identified in the new RFP, and the in-house technology is identified in the same way in the big data system for mutual analysis and comparison. This has the effect of deriving the required technology TBS possessed by the company and objectively grasping the company's technology for the required technology at a glance. In addition, there is an effect of efficiently and objectively evaluating the possibility of passing a proposal through identification and analysis of required and possessed technologies through text mining and data structuring. On the other hand, in addition to in-house big data, it has the effect of predicting the company's winning rate in advance by performing identification and analysis of these required and possessed technologies for big data from external organizations.

Description

REQUIRED TECHNOLOGY IDENTIFICATION AND ANALYSIS SYSTEM

The present invention relates to a required technology identification and analysis system, and more particularly, to an automated system for identifying and analyzing a required technology required in a request for proposal of a project owner according to an objective standard.

If there is a request for proposal in various fields, including the defense technology field, it is judged whether to write a proposal by identifying the technology required for the request. And whether to write a proposal or not, it is necessary to predict the possibility of passing the proposal in advance based on the current in-house technology.

However, in the past, the required technology identification and analysis is mainly performed through the experience and intuition of experts with specialized knowledge, and analysis of customer needs.

When relying on such a methodology, there is a limitation that is limited to the expertise of the expert, and there is a disadvantage that a lot of time and effort are required to identify and analyze the required technology.

And since the analysis results may be derived differently depending on the expert group, there is a problem in that subjective and stable results cannot be obtained.

In addition, there is a problem in that the fidelity of the identification and analysis of the required technology is low considering the set proposal schedule.

A methodology capable of deriving more objective, efficient and stable analysis results is required.

Laid-Open Patent Publication No. 10-2020-0120452 Laid-Open Patent Publication No. 10-2020-0119967

It is an object of the present invention to provide a system for identifying and analyzing required skills.

Required technology identification and analysis system according to the object of the present invention described above, a new RFP collection module for collecting a new RFP; It may be configured to include a required technology identification module for identifying the required technology of the new RFP and the corresponding TBS collected in the new RFP collection module.

Here, the required technology identification module may be configured to identify the required technology through textmining.

And it may be configured to further include a new RFP required technology evaluation module for evaluating the possibility of passing the proposal for the new RFP required technology with reference to the in-house technology for the required technology identified in the required technology identification module.

According to the above-mentioned technology identification and analysis system, the required technology based on TBS (technical breakdown structure) is identified in the new RFP, and the technology possessed by the company is identified in the same way in the big data system to analyze and compare the TBS-based technology. This has the effect of deriving the required technology TBS possessed by the company and objectively grasping the company's technology for the required technology at a glance.

In addition, there is an effect of efficiently and objectively evaluating the possibility of passing a proposal through identification and analysis of required and possessed technologies through text mining and data structuring.

On the other hand, in addition to in-house big data, it has the effect of predicting the company's winning rate in advance by performing identification and analysis of these required and possessed technologies for big data from external organizations.

1 is a block diagram of a required technology identification and analysis system according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail in the detailed content for carrying out the invention. 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 block diagram of a required skill identification and analysis system 100 according to an embodiment of the present invention.

1, the required technology identification and analysis system 100 according to an embodiment of the present invention is a new proposal request (Request For Proposal, hereinafter referred to as 'RFP') collection module 101, the required technology identification module ( 102), required technology data structuring module 103, possessed technology identification control module 104, possessed technology identification module 105, possessed technology data structuring module 106, weighting module 107, expert verification result reflection module (108), technical breakdown structure (hereinafter referred to as 'TBS') database 109, required technology / possessed technology similarity determination module 110, possessed technology extraction module 111, possessed technology tech tree To be configured to include an extraction module 112, an in-house required technology TBS generation module 113, a new RFP required technology evaluation module 114, an external agency evaluation mode control module 115, and a new RFP evaluation preparation module 116 can

Hereinafter, a detailed configuration will be described.

The new RFP collection module 101 collects new RFPs, and refers to the data of the defense-related project database 10, the technology management system 20, and the defense science and technology survey database 30 in relation to the collected new RFPs to TBS (technical breakdown structure) may be configured to collect.

Here, the new RFP collection module 101 may collect new RFPs from an agency server (not shown) such as the Defense Acquisition Program Administration.

And the defense science and technology survey stored in the defense science and technology survey database 30 is data derived from element technology by analyzing and identifying the necessary items of the weapon system by applying the survey/analysis technique based on the work breakdown structure (WBS). It consists of command and control/communication, surveillance/reconnaissance, maneuver/firepower, aviation, guidance/ammunition, ships, and defense M&S/SW.

The data stored in the defense science and technology research paper, the defense-related project database 10, and the technology management system 20 may have TBSs that can be referenced to generate the TBS of the new RFP.

The required technology identification module 102 may be configured to identify the new RFP collected in the new RFP collection module 101 and the required technology of the corresponding TBS. For example, one new RFP may consist of hundreds of required technologies.

The required technology identification module 102 includes a first technology name clustering unit 102a, a first text mining unit 102b, a first new term complementation unit 102c, and a first identification technology-word matrix generation unit 102d. , the first word exposure frequency counting unit 102e. Hereinafter, a detailed configuration will be described.

The first descriptive name-specific clustering unit 102a may be configured to cluster descriptive names from text information of the new RFPs collected by the new RFP collection module 101 with reference to the standard terminology dictionary.

The first text mining unit 102b may be configured to extract keywords by performing text mining on the text information of the new RFPs collected by the new RFP collection module 101 with reference to the standard terminology dictionary. .

Specifically, the first text mining unit 102b removes incidental words from the text, and then separates the root by excluding the affixes of the words. In addition, it may be configured to compare the frequency of appearance of the separated root with a predetermined minimum number, and according to the comparison result, preferentially present as a keyword a root indicating the frequency of appearance of the minimum number or more as a keyword.

On the other hand, when the keyword extracted by the first text mining unit 102b is a new term, the first new term complementing unit 102c sets the keyword by selectively applying techniques such as multivariate analysis, topic modeling, and factor analysis. can be configured.

The first identification technology-word matrix generating unit 102d may be configured to generate an identification technology-word matrix composed of the identification technology name and related words using the keyword extracted from the first text mining unit 102b.

The first word exposure frequency counting unit 102e may be configured to count the exposure frequency of a corresponding word from the identification technology-word matrix generated by the first identification technology-word matrix generator and input it into the identification technology-word matrix.

The required technology data structuring module 103 may be configured to structure the required technology data of the new RFP identified in the required technology identification module 102 and generate a required technology TBS. More specifically, the TBS of the required technology may be composed of the technology name of the new RFP and the required technologies constituting it.

When the required technology data is structured in the required technology data structuring module 103, the possessed technology identification control module 104 may be configured to control to identify the in-house technology at that time.

Here, the in-house technology is a product developed by the company, and may include various in-house technical documents, in-house papers, in-house patents, in-house registration programs, various certifications, and the like. When evaluating a proposal, it is desirable to identify the in-house technology by using this in-house technology big data, because the certified data such as these papers, patents, and registration programs possessed can have a better effect on the evaluation.

Since the in-house technology is newly accumulated at every point in time, it is preferable that the possessed technology identification control module 104 controls to cumulatively identify the new in-house technology at each point in time when the required technology data is to be identified.

The possessed technology identification module 105 is stored in the in-house technical document database 40, the in-house thesis database 50, the in-house patent database 60, and the in-house registration program database 70 under the control of the possessed technology identification control module 104. Each of the previously stored in-house technical documents, in-house papers, in-house patents, and in-house registration programs can be configured to automatically identify the possessed technology.

The possessed technology identification module 105 includes a second technology name clustering unit 105a, a second text mining unit 105b, a second new term complementation unit 105c, and a second identification technology-word matrix generation unit 105d. , the second word exposure frequency counting unit 105f may be included. Hereinafter, a detailed configuration will be described.

The second technology name-specific clustering unit 105a may be configured to cluster technology names from text information of the retained technology automatically identified in the possessed technology identification module 105 with reference to the standard terminology dictionary.

The second text mining unit 105b may be configured to extract keywords by performing text mining on text information of the retained technology automatically identified by the possessed technology identification module 105 with reference to the standard terminology dictionary.

Specifically, the second text mining unit 105b removes incidental words from the text, and then removes the affixes of the words to separate the roots. In addition, it may be configured to compare the frequency of appearance of the separated root with a predetermined minimum number, and according to the comparison result, preferentially present as a keyword a root indicating the frequency of appearance of the minimum number or more as a keyword.

When the keyword extracted from the second text mining unit 105b is a new term, the second new term complementation unit 105c may be configured to set keywords by selectively applying the techniques of multivariate analysis, topic modeling, and factor analysis. have.

The second identification technology-word matrix generating unit 105d may be configured to generate an identification technology-word matrix composed of the identification technology name and related words using the keyword extracted from the second text mining unit 105b.

The second word exposure frequency counting unit 105e is configured to count the exposure frequency of the corresponding word in the identification technology-word matrix generated by the second identification technology-word matrix generating unit 105d and input it into the identification technology-word matrix. can

The possessed technology data structuring module 106 may be configured to structure the possessed technology data according to the identification result of the possessed technology identification module 105 and generate a TBS for each possessed technology. More specifically, the TBS of the possessed technology can be composed of the technology name of the existing system already completed and the possessed technologies constituting it.

The weighting module 107 may be configured to assign a weight to the retained technology data structured in the retained technology data structuring module 106 with reference to the publication year of the defense science and technology survey of the defense science and technology survey database 30. .

The Defense Science and Technology Survey is issued approximately every three years. If there is a matching technology in the defense science and technology survey, the more recent the publication year of the defense science and technology survey is, the higher the weight can be given to the technology in question. That is, a higher weight can be given to the latest technology.

The expert verification result reflection module 108 may be configured to reflect the verification result of the expert group on whether or not the weight is valid with respect to the retained technology data weighted by the weighting module 107 .

The possessed technology TBS database 109 may be configured to store the TBS of the possessed technology data in which the verification result is reflected in the expert verification result reflection module 108 .

The required technology / possessed technology similarity determination module 110 may be configured to determine the similarity of the required technology data structured in the required technology data structuring module 103 for each TBS of the possessed technology data stored in the possessed technology TBS database 109. .

When displaying the structured form in one matrix, the first row consists of the name of the system and the new RFP technology name, and the first column contains the name of each system and the various owned and required technologies linked to the new RFP technology name. can be listed.

In addition, in each input column of the matrix, a check mark may be displayed on the possessed technology linked to each possessed system name, and a required technology corresponding to the new RFP technology name may be checked.

The possessed technology extraction module 111 may be configured to extract the possessed technology determined to be similar to the required technology data according to a predetermined criterion as a result of the determination of the required technology / possessed technology similarity determination module 110 . For example, if the technologies possessed by a specific holding system and the required technologies of the new RFP are mostly identical, the technologies possessed by the relevant holding system can be extracted as they are. The required technology for the new RFP is 358, and if there is a retention system with approximately 350 matching technologies, the technology possessed by the system can be extracted and used as it is.

The possessed technology tech tree extraction module 112 determines that the required technology / possessed technology similarity determination module 110 is similar to the partial configuration of the TBS of the required technology data according to a predetermined criterion as a result of the determination of the possessed technology tech-tree. may be configured to extract

Although not as consistent as in the case of the possessed technology extraction module 111 described above, if some systems of the possessed system are similar, only the tech tree of the corresponding system can be extracted.

The in-house required technology TBS generation module 113 generates the required technology TBS possessed in-house by using the possessed technology extracted from the possessed technology extraction module 111 or the possessed technology tech tree extracted from the possessed technology tech tree extraction module 112 can be configured to

The new RFP required technology evaluation module 114 may be configured to evaluate the new RFP using the in-house required technology TBS generated by the in-house required technology TBS generation module 113 .

Required technologies owned by the company Through the TBS, it is possible to know how many similar technologies among the technologies required for a new RFP are possessed in-house, and through this, the possibility of passing the proposal can be estimated in advance.

When the evaluation of the new RFP in the new RFP required technology evaluation module 114 is completed, the external institution evaluation mode control module 115 identifies and retains the technology possessed by the external institution using the external institution database 80 It can be configured to structure the technical data, determine the required technology/required technology similarity, generate the required technology TBS possessed by an external organization, and control to perform evaluation on the new RFP using the generated technology TBS possessed by the external organization.

In other words, you can change the database to do the same, which will allow you to pre-evaluate your competitor's chances of passing the proposal.

The new RFP evaluation preparation module 116 compares the new RFP evaluation result of the new RFP required technology evaluation module 114 and the evaluation result of the new RFP of the external institution by the control of the external institution's technology evaluation mode control module 115 to calculate and display the winning rate. That is, when making a proposal to a new RFP like a competitor, it can be configured to predict the winning rate of the company and make a judgment on whether to make a proposal in advance.

Although described with reference to the above embodiments, those skilled in the art can understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the following claims. There will be.

101: New RFP Acquisition Module
102: required technology identification module
102a: clustering unit by first technical name
102b: first text mining unit
120c: first new term supplementary part
102d: first identification technology-word matrix generator
102e: first word exposure frequency counting unit
103: Required technology data structuring module
104: technology identification control module
105: technology identification module
105a: clustering unit by second technical name
105b: second text mining unit
150c: Second new term supplementary part
105d: second identification technology-word matrix generator
105e: second word exposure frequency counting unit
106: own technology data structuring module
107: weighting module
108: Expert verification result reflection module
109: Owned technology TBS database
110: Required technology / possessed technology similarity determination module
111: technology extraction module
112: technology tree extraction module possessed
113: Required technology TBS generation module possessed by the company
114: New RFP required technology evaluation module
115: external agency evaluation mode control module
116: New RFP Assessment Preparation Module

Claims (3)

A new proposal that collects new proposal requests (RFPs) and collects the technical decomposition structure (TBS) of the collected new proposal requests with reference to the first data stored in the defense-related project database, technology management system, and defense science and technology research database request collection module;
a required technology identification module for identifying a plurality of required technologies of the new proposal request by performing textmining on the text information of the new proposal request;
Required technology for structuring the identified required technologies of the new proposal request form to create a technical decomposition structure of the required technology consisting of the first technical name of the new proposal request and a plurality of required technologies constituting the first technical name data structuring module;
a technology identification module possessed by performing text mining on the text information of the second data stored in the in-house technical document database, the in-house thesis database, the in-house patent database, and the in-house registration program database to identify the plurality of technologies possessed in the company at the present time;
a possessive technology data structuring module for structuring the identified retained technologies to generate a technology decomposition structure of the retained technology comprising a second technology name of the previously completed retention system and a plurality of retained technologies constituting the second technology name;
a required technology/owned technology similarity determination module for determining a degree of similarity by comparing the technology decomposition structure of the required technology with the decomposition structure of the possessed technology;
a possessed technology extraction module for extracting a possessed technology similar to the required technology from the identified possessed technologies according to a predetermined criterion of a determination result of the required technology/required technology similarity determination module;
a possessed technology tech tree extraction module for extracting a tech tree of a possessed technology similar to a partial configuration of a technical decomposition structure of the required technology according to a predetermined criterion of a determination result of the required technology/own technology similarity determination module;
an in-house required technology decomposition structure generation module for generating a decomposition structure of the required technology possessed in the company by using the extracted technology and the extracted technology tree; and
Using the technology decomposition structure of the required technology possessed in the company, it is checked whether at least one similar technology among the required technologies of the request for new proposal is possessed in-house, and the Skills Requirement Identification and Analysis System, including a Skills Assessment Module for New Proposal Requests for Evaluating Proposal Passability.
The method of claim 1,
The required technology identification module,
a clustering unit for each first technology name for clustering the first technology names in the text information of the new proposal request with reference to the standard terminology dictionary;
a first text mining unit for extracting a first keyword by performing text mining on the text information of the new proposal request with reference to the standard terminology dictionary;
a first identification technology-word matrix generator for generating a first identification technology-word matrix composed of the first description name and words related to the first description name by using the first keyword; and
and a first word exposure frequency counting unit for counting the exposure frequency of words included in the first identification technology-word matrix and inputting the first identification technology-word matrix into the first identification technology-required technology identification and analysis system.
The method of claim 1,
The holding technology identification module,
a clustering unit for each second technology name for clustering the second technology name in the text information of the retained technology with reference to the standard terminology dictionary;
a second text mining unit for extracting a second keyword by performing text mining on the text information of the retained technology with reference to the standard terminology dictionary;
a second identification technology-word matrix generator for generating a second identification technology-word matrix composed of the second description name and words related to the second description name by using the second keyword; and
and a second word exposure frequency counting unit for counting the exposure frequency of words included in the second identification technology-word matrix and inputting the second identification technology-word matrix to the required technology identification and analysis system.

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