KR20230060128A - Method for providing electronic bidding information analysis service using eligibility examination engine - Google Patents

Abstract

A method of providing an electronic bidding information analysis service using a qualification screening engine is provided. The method includes the steps of: configuring a qualification review engine based on evaluation criteria and evaluation methods, including an updated version for each orderer which updates the evaluation elements for each orderer in the bid notice and an updated version for each license; receiving license information and company information from a user terminal; extracting a bid notice in which the license information and company information of the user terminal meet the evaluation criteria in the qualification review engine; and transmitting the extracted bid notice to the user terminal.

Description

Method of providing electronic bidding information analysis service using qualification screening engine

The present invention relates to a method for providing an electronic bidding information analysis service using a qualification examination engine. After updating the qualification examination engine for each owner and license, whether or not participating companies can pass the qualification examination and, if disqualified, information on the reason thereof. provides a way to do it.

In general, when the government or public institution procures goods or implements a public project, the bidder with the lowest price is selected as the successful bidder through competitive bidding. Various types of procurement auctions are being used, such as designating as the successful bidder. In the case of Korea, the method of selecting a successful bidder through competitive bidding is stipulated in Article 42, Paragraph 1 of the Enforcement Decree of the Act on Contracts to which the State is a Party. The qualification screening system, which determines the successful bidder by evaluating the ability to fulfill the contract in the order of bidding with the lowest price, is applied with the highest priority. This is a method of determining a successful bidder by comprehensively examining scores for evaluating non-price factors such as product production capacity and price scores for evaluating bidding prices.

At this time, a method of analyzing whether or not a company is eligible to participate based on qualification evaluation criteria when a bid announcement is received has been researched and developed. 07 announcement) and Korea Patent Publication No. 2007-0089326 (announcement on August 31, 2007), whether to participate in the bidding, including the possibility of participating in the bidding announcement based on the qualification evaluation criteria, the need for an agreement or the non-participation Companies that include region, license, construction capacity evaluation value, construction experience, business period, and credit rating rating to provide real-time analysis information on whether to participate in bidding for each bidding announcement. Collect information, determine whether or not to be subject to qualification review by using performance evaluation or search terms in the bidding announcement, and calculate the average standard value for qualification evaluation items including construction experience and management status for all bidding announcements in the process of bidding, For joint contracts that can be negotiated, the standard construction capacity evaluation amount is additionally calculated, and the performance value of each company is calculated for each evaluation item for each evaluation item subject to qualification evaluation, and the evaluation result is obtained by comparing the company performance value for each evaluation item with the evaluation standard value A configuration for calculating , and a configuration for inputting user information for a qualification score diagnosis request in a user terminal and then driving a qualification diagnosis report program to determine whether or not the user is eligible to participate in a bidding are disclosed.

However, in the case of the above configuration, only the qualification evaluation result is provided, and if the score is not met or the score is not satisfied, it is not possible to inform in which item the score is insufficient or disqualified. In addition, since the licenses, number of technicians, and evaluation criteria required for each bidding announcement are not the same, each bidding announcement must be evaluated according to different criteria. . Therefore, it is required to research and develop a platform that can present user information to users who are participating companies by using the qualification screening engine, and then determine eligibility, but present the items to users if they are not satisfied or disqualified.

In one embodiment of the present invention, an updated version is created by updating qualification evaluation factors for each ordering party, and an updated version is created by updating a license required for each bidding announcement, and the screening criteria of the qualification screening engine, evaluation license, Scores are calculated according to evaluation ratio, construction experience, management status, credit rating, and additional points, and based on the calculated score, it is determined whether or not to pass the qualification test. It is possible to provide an electronic bidding information analysis service providing system using a qualification screening engine, which can intuitively know which part to pass the qualification examination in case of supplementation by guiding the cause. However, the technical problem to be achieved by the present embodiment is not limited to the technical problem as described above, and other technical problems may exist.

As a technical means for achieving the above-described technical problem, an embodiment of the present invention is based on evaluation criteria and an evaluation method including an updated version for each ordering party in which evaluation elements for each ordering party in the bidding notice are updated, and an updated version for each license. Steps of constructing a qualification screening engine based on the above, step of receiving license information and company information from a user terminal, step of extracting a bid notice that satisfies the evaluation criteria in the qualification screening engine from the license information and company information of the user terminal, and extracting the extracted and transmitting the bid notice to the user terminal.

According to any one of the above-described problem solving means of the present invention, an updated version is created by updating qualification evaluation factors for each ordering party, an updated version is created by updating a license required for each bidding announcement, and a qualification examination engine Scores are calculated according to the evaluation criteria, evaluation license, evaluation ratio, construction experience, management status, credit rating, and additional points, and based on the calculated score, it is determined whether or not to pass the qualification evaluation. If it is predicted, it guides the reason and cause so that you can intuitively know which part will pass the qualification test in case of supplementation.

1 is a diagram for explaining a system for providing an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating an analysis service providing server included in the system of FIG. 1 .
3 and 4 are diagrams for explaining an embodiment in which an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention is implemented.
5 is an operational flowchart illustrating a method of providing an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, this means that it may further include other components, not excluding other components, unless otherwise stated, and one or more other characteristics. However, it should be understood that it does not preclude the possibility of existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

As used throughout the specification, the terms "about", "substantially", etc., are used at or approximating that value when manufacturing and material tolerances inherent in the stated meaning are given, and do not convey an understanding of the present invention. Accurate or absolute figures are used to help prevent exploitation by unscrupulous infringers of the disclosed disclosure. The term "step of (doing)" or "step of" as used throughout the specification of the present invention does not mean "step for".

In this specification, a "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware. On the other hand, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or configured to reproduce one or more processors. Thus, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

In this specification, some of the operations or functions described as being performed by a terminal, device, or device may be performed instead by a server connected to the terminal, device, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed by a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal mean mapping or matching the terminal's unique number or personal identification information, which is the terminal's identifying data. can be interpreted as

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

1 is a diagram for explaining a system for providing an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention. Referring to FIG. 1, the electronic bidding information analysis service providing system 1 using the qualification screening engine includes at least one user terminal 100, an analysis service providing server 300, and at least one ordering agency terminal 400. can include However, since the electronic bidding information analysis service providing system 1 using the qualification screening engine of FIG. 1 is only an embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 .

At this time, each component of FIG. 1 is generally connected through a network (Network, 200). For example, as shown in FIG. 1 , at least one user terminal 100 may be connected to an analysis service providing server 300 through a network 200 . In addition, the analysis service providing server 300 may be connected to at least one user terminal 100 and at least one ordering agency terminal 400 through the network 200 . In addition, at least one ordering agency terminal 400 may be connected to the analysis service providing server 300 through the network 200 .

Here, the network refers to a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers, and examples of such networks include a local area network (LAN) and a wide area network (WAN: Wide Area Network), the Internet (WWW: World Wide Web), wired and wireless data communications networks, telephone networks, and wired and wireless television communications networks. Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), 5th Generation Partnership Project (5GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi , Internet (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC ( A Near-Field Communication (Near-Field Communication) network, a satellite broadcasting network, an analog broadcasting network, a Digital Multimedia Broadcasting (DMB) network, etc. are included, but not limited thereto.

In the following, the term at least one is defined as a term including singular and plural, and even if at least one term does not exist, each component may exist in singular or plural, and may mean singular or plural. It will be self-evident. In addition, the singular or plural number of each component may be changed according to embodiments.

At least one user terminal 100 is a participating company that checks whether or not it can pass the eligibility screening by using a web page, app page, program or application related to the electronic bidding information analysis service using the eligibility screening engine. Alternatively, it may be a terminal of a participating company.

Here, at least one user terminal 100 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser. In this case, at least one user terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one user terminal 100 is, for example, a wireless communication device that ensures portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet ) may include all types of handheld-based wireless communication devices such as terminals, smartphones, smart pads, tablet PCs, and the like.

The analysis service providing server 300 may be a server that provides an electronic bidding information analysis service web page, app page, program or application using a qualification screening engine. In addition, the analysis service providing server 300 may be a server constituting a qualification examination engine after collecting licenses and evaluation factors required for each bid announcement placed by at least one ordering agency terminal 400 . In addition, the analysis service providing server 300 receives participating company (user) information from the user terminal 100, constructs a result report using a qualification screening engine, and transmits the result report to the user terminal 100. can be a server In addition, the analysis service providing server 300 may be a server that proceeds with the price estimate calculation process and guides the result, and provides whether or not the score of any item is insufficient in case of disqualification or insufficient score in the qualification examination. It could be a server that does it.

Here, the analysis service providing server 300 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser.

At least one ordering organization terminal 400, with or without using the web page, app page, program or application related to the electronic bidding information analysis service using the qualification screening engine, the qualification evaluation evaluation element to the analysis service providing server 300 It may be a terminal that provides.

Here, at least one ordering agency terminal 400 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser. At this time, at least one ordering agency terminal 400 may be implemented as a terminal capable of accessing a remote server or terminal through a network. At least one ordering organization terminal 400 is, for example, a wireless communication device that ensures portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular) , PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband) It may include all kinds of handheld-based wireless communication devices such as Internet) terminals, smartphones, smart pads, tablet PCs, and the like.

2 is a block configuration diagram illustrating an analysis service providing server included in the system of FIG. 1, and FIGS. 3 and 4 are implementations of an electronic bid information analysis service using a qualification screening engine according to an embodiment of the present invention. It is a drawing for explaining one embodiment.

Referring to FIG. 2, the analysis service providing server 300 includes a configuration unit 310, an input unit 320, an extraction unit 330, a transmission unit 340, an unsatisfied notification unit 350, and a price calculation unit 360. ) and a report providing unit 370.

The analysis service providing server 300 according to an embodiment of the present invention or another server (not shown) operating in conjunction with the at least one user terminal 100 and at least one ordering organization terminal 400 operates a qualification examination engine. In the case of transmitting the used electronic bidding information analysis service application, program, app page, web page, etc., at least one user terminal 100 and at least one ordering institution terminal 400 analyze electronic bidding information using a qualification screening engine. You can install or open service applications, programs, app pages, web pages, etc. In addition, the service program may be driven in at least one user terminal 100 and at least one ordering agency terminal 400 by using a script executed in a web browser. Here, the web browser is a program that allows users to use the web (WWW: World Wide Web) service, and means a program that receives and displays hypertext described in HTML (Hyper Text Mark-up Language). For example, Netscape , Explorer, Chrome, and the like. In addition, an application means an application on a terminal, and includes, for example, an app running on a mobile terminal (smart phone).

Before describing FIG. 2 , a basic concept for understanding a service according to an embodiment of the present invention will be first described. The basic concepts described below will not be redundantly explained in FIG. 2 .

In Korea, the method of selecting a successful bidder through competitive bidding is stipulated in Article 42, Paragraph 1 of the Enforcement Decree of the Act on Contracts to Which the State is a Party, which is a related law. In other words, prior to bidding or concluding a contract, the qualification screening system that determines the successful bidder by examining the contract fulfillment capability in the order in which the lowest price is lower than the final price determined by the successful bid and the contract amount is to be applied with the highest priority. are doing More specifically, it is a method of determining a successful bidder by comprehensively examining scores for evaluating non-price factors such as product production (construction) capabilities and price scores for evaluating bidding prices. However, the qualification screening system selects a company that has obtained a certain score or higher as the successful bidder in order to prevent quality deterioration of delivered goods or construction and services that may occur due to excessive price competition. Accordingly, if a company participating in the bidding determines that its non-price factor score is the same as that of other companies, it must obtain a certain score or higher to become a successful bidder. The bid price must be presented as a percentage. Therefore, in Korea's qualification screening system, if the scores of non-price factors such as product production (construction) capacity satisfy certain conditions, the bid price offered by the participating companies plays a very important role in determining the successful bidder.

<Eligibility screening target>

The subject of qualification examination is a construction project with an estimated price of less than 10 billion won, and a construction project with an estimated price of 10 billion won or more is subject to comprehensive evaluation (Article 42 Paragraph 1 and Paragraph 4 Paragraph 1 of the Enforcement Decree of the National Contract Act). The method of determining the successful bidder is to determine the successful bidder by examining the ability to fulfill the contract and the job creation performance determined by the Minister of Strategy and Finance in the order of those who bid at the lowest price below the scheduled price. The evaluation of the ability to fulfill the contract at the time of determining the successful bidder is referred to as a qualification review (「(Contract Rules) Eligibility Screening Criteria」 (Ministry of Strategy and Finance Contract Rules No. 536, issued on December 28, 2020, enforced on January 1, 2021) Article 1 ). The announcement of the successful bidder determination method, when the successful bidder is determined according to the qualification examination, the successful bidder determination method, matters pertaining to the qualification examination criteria, documents required for examination, submission deadline, and expected date of notification of the successful bidder, etc. are announced together with the bidding announcement (「(( Rules of Contract) Article 2 of the Qualification Review Criteria).

Contract fulfillment capability review is the performance performance of the relevant bidder, technical ability, financial status, past contract fulfillment diligence, material and manpower procurement price, subcontract management plan, adequacy of outsourcing worker working conditions fulfillment plan, degree of compliance with contract order, past construction work A successful bidder is determined by evaluating qualifications in accordance with the attached table of the 「(Contract Rules) Qualification Criteria」 in comprehensive consideration of the quality level and bidding price of Main text, 「(Contract Regulations) Eligibility Review Criteria」 Article 5 Paragraph 1 and attached table). However, if it is deemed necessary due to the nature of the construction, the head of each central government agency may directly determine the screening standards through consultation with the Minister of Strategy and Finance (proviso to Article 42 (5) of the Enforcement Decree of the Act on Contracts to Which the State is a Party) ). The reference date for each evaluation item shall be the bid announcement date (Article 5 (5) of 「(Contract Rules) Eligibility Review Standards」).

<Qualification screening method>

Regarding the screening process, the lowest bidder below the expected price must submit the documents necessary for qualification screening (「(Contract Rules) Qualification Screening Criteria」 Article 4 Paragraph 1), and the submitted qualification screening documents will begin on the submission deadline or supplementation date. Review within 7 days. However, in unavoidable cases, the period can be extended within the range of 3 days (Article 7 (2) of 「(Contract Rules) Qualification Review Standards」). The detailed screening criteria are prepared to select eligible companies, and in the case of construction, the points allocation limit for each field in the attached table is comprehensively considered by the characteristics, purpose, and contents of each type of construction, such as bridges, tunnels, subways, electricity, and information and communication. (Excluding the bidding price) can be adjusted by adding or subtracting within the range of 20%, and details for each item (excluding credit rating) can be added or excluded (「(Contract Rules) Eligibility Review Criteria」 Article 6 and 「Public Procurement Service Facility Construction Eligibility Detailed Standards for Examination” (Public Procurement Service Guidelines No. 1320, issued and enforced on February 15, 2021), Article 2 (1)).

The evaluation criteria for constructions with an estimated price of less than 10 billion won and more than 5 billion won are, according to Annex 3 of the 「Detailed Standards for Qualification Examination for Facilities Construction by the Public Procurement Service」, and the estimated price is less than 5 billion won and more than 1 billion won (50 According to Annex 4 of the "Detailed Standards for Qualification Evaluation for Public Procurement Service Facility Construction", the evaluation criteria for construction works with an estimated price of less than 1 billion won and 300 million won or more are "Detailed Standards for Qualification Examination for Facilities Construction 」 According to Attachment 5, the evaluation criteria for constructions with an estimated price of less than 300 million won and more than 200 million won (less than 300 million won and more than 80 million won for electricity, information communication, firefighting facilities, cultural heritage construction, etc.) According to Annex 6, the evaluation criteria for constructions whose estimated price is less than KRW 200 million (less than KRW 80 million for electricity, information communication, firefighting facilities, cultural heritage construction, etc.) are in accordance with Annex 7 of the 「Detailed Standards for Qualification Examination for Public Procurement Service Facility Construction」.

In the case of a joint contract, the review of the joint contract body follows the following screening criteria, but in the case of a joint contract to supplement the disclosed construction capacity, performance, technology holding status, etc. (Article 7 (3) of 「(Contract Rules) Eligibility Review Criteria」). Construction experience and technical capacity are calculated by multiplying the construction experience and technical capacity of each member of the joint contractor by the share ratio (hereinafter referred to as construction ratio) participating in the construction, and then adding them up. For management status and credibility, the scores calculated for each member of the joint supply body are multiplied by the construction rate and added together. In the case of limiting bidding qualifications according to the nature and scale of the construction, the method of evaluating the construction performance capability of the members of the Joint Contract Body may be separately determined in the detailed screening criteria (「(Contract Rules) Eligibility Review Criteria」 Article 7 Paragraph 4) ).

As for the decision of the successful bidder, if the overall score is 92 points or higher as a result of the evaluation, the successful bidder is determined (the main body of Article 8 (1) of 「(Contract Rules) Eligibility Review Standards」). In the case of a construction project with an estimated price of less than KRW 10 billion, a successful bidder is determined only when the overall score is 95 points or higher (proviso to Article 8 (1) of the 「(Contract Rules) Eligibility Review Standards」), and the lowest bidder’s overall score can be determined as a successful bidder. If the score is less than the score, the bidder is evaluated in the order of the next lowest priced bidder, and the successful bidder is determined if the score exceeds the score necessary for determining the successful bidder (「(Contract Rules) Eligibility Review Criteria」 Article 8 Paragraph 2). Regarding the re-examination process, when a person who has been notified of disqualification requests a re-examination of the examination results within 3 days from the date of notification, the re-examination is conducted within 3 days from the date of receipt of the re-examination request unless there is a special reason. 9(1)).

<Bid Price Evaluation Criteria of Qualification Review System>

As an example of the application of the qualification review system, let's take a look at the criteria for selecting successful bidders for construction projects with an estimated price of more than 10 billion won and less than 30 billion won. According to Article 8 of the eligibility screening criteria, a successful bidder is determined only when the overall score for price and non-price factors is 92 points or higher. In the determination of the successful bidder under Article 8 (1), it is stipulated that in the case of the examination under Article 7 (1), the contracting officer shall determine the successful bidder if the overall score is 92 points or more, provided that the estimated price is KRW 10 billion In the case of a construction project with an overall score of 95 or higher, the successful bidder is determined. At this time, the applied price factor has a perfect score of 30 and the score of the non-price factor has a score of 70. The rating formula of the bid price according to the eligibility screening criteria is as follows: Equation 1.

The bid price score of Equation 1 is perfect when it is 88% of the estimated price, but the bidder has an incentive to bid lower than this according to his non-price factor score. This is because the bidder who offered the lowest price is evaluated on the ability to fulfill the contract, and the successful bidder is selected if the overall score is 92 points or higher. For example, if the bidder's non-price factor score is 70 out of 10 and is expected to be the same as that of competitive bidders, the optimal strategy may be for the bidder to offer a lower bid price than if the bidder offered a bid price of 88% of the expected price. This is because if other bidders offer a lower price than this, they can be selected as the successful bidder after undergoing a contract performance evaluation first. Therefore, if you anticipate that your non-price factor score is 70 out of 10 or that your non-price factor is the same as that of other bidders, you can increase your chances of becoming a successful bidder by presenting a bid price that allows you to accurately receive a passing score of 92 points in the qualification review. can be maximized. At this time, in order to receive a price rating of 22 points (92 points - 70 points), the ratio of the bid price to the expected price proposed by the bidder (80% in this case) becomes the Minimum Winning Bid.

The rating calculation formula currently applied in the qualification screening standard uses the value obtained by subtracting A value from the bid price and estimated price, respectively. Here, the value A is the sum of the national pension, health insurance, retirement benefits, long-term care insurance for the elderly, occupational safety and health management expenses, and safety management expenses. However, if the value A is considerably smaller than the expected price, the effect on the ratio in the absolute value is small, so Equation 1 may be used.

Referring to FIG. 2 based on the above-described basic concept, the configuration unit 310 determines the evaluation criteria and evaluation method including the updated version for each ordering party and the updated version for each license in which the evaluation elements for each ordering party in the tender notice are updated. Based on this, a qualification examination engine can be configured. At this time, the updated version for each owner includes evaluation factors including performance and management status, performance is the score calculated by the perfect score standard and point calculation standard, and management status is the score calculated by the perfect score standard and score calculation standard. can be The renewal version for each license includes the date of announcement of results, the date of announcement of average ratio by industry, and whether or not mutual entry is made through license coding. . At this time, the updated version means that when the State Contract Act is revised for each bidding announcement, the reflected figures and ranges change, and since the elements to be evaluated by each ordering party are different, the version with each evaluation element updated for each bidding announcement. it means.

For example, in the case of the tender notice number 20210223468-00, which is a traffic signal maintenance work, download the document classification: notice.hwp file among the attached files and check the eligibility screening method. At this time, if there is a keyword "eligibility review" in the estimated price and the method of determining the successful bidder, find 「 」, a symbol indicating laws, next to this keyword, and search for letters between 「 and 」, for example, 「Local government Article 42 of the Enforcement Decree of the Act on Contracts to which Local Governments Are Parties If it is stated as the criteria for determining successful bidders in local government bidding, the Enforcement Decree of the Act on Contracts to which Local Governments are Parties can be found at the National Law Information Center (www.law.go.kr). You can search for Article 42 at Or, if it is written "Chapter 2 Detailed Criteria for Qualification Examination for Facility Construction <Appendix 5>, the evaluation criteria for bidding constructions whose estimated price is less than 1 billion won and over 300 million won are applied", the above-mentioned basic concept formula can be extracted. In this case, calculation formulas or evaluation criteria may be stored in advance for each attached sheet, and when the keyword <Appendix 5> is extracted, a calculation formula or evaluation criteria pre-mapped thereto may be extracted. Since the criteria for determining the successful bidder are all different for each ordering organization, it must be based on the standards specified in the announcement, and at this time, each evaluation element can be updated to update the qualification screening engine.

Macrobots can be used to find attachments in each bid notice and what their criteria are. Access the site using a macro bot, set the location coordinates (X, Y) of the cell corresponding to the bidding announcement in the site according to the resolution, click the cell in the location coordinates and enter enter, After searching for the attached file, download it, run the attached file, search for the keyword "qualification test", and then search for 「 」, a symbol representing the law, extract the standard, and then The version can be updated (updated) by applying calculation formulas or evaluation factors to the qualification screening engine. This process is all executed in the macrobot and can be checked periodically or in real time.

The input unit 320 may receive license information and company information from the user terminal 100 . When receiving license information and company information from the user terminal 100 in the input unit 320, the license information includes business period, construction capability evaluation amount, and actual amount, and company information includes credit evaluation, renewal period, debt ratio and It can include the management status including the current ratio and the current status of technicians.

Extraction unit 330, the license information and company information of the user terminal 100 may extract a bid announcement that satisfies the evaluation criteria within the qualification examination engine. In addition, the extraction unit 330 analyzes the randomness of the open competitive bidding method using deep learning technology to identify patterns, predicts the successful bid price (estimated price) and the closest bid price, and then sends the user terminal 100 may also provide. For example, in the method of selecting a construction company through open competitive bidding, ① 15 multiple reserve prices are randomly generated within the range of ± 3% based on the construction price determined by the client. ② Each construction company selects two of the multiple reserve prices generated at the time of bidding. ③ After bidding is completed, the expected price is determined by an arithmetic formula using the four most selected multiple reserve prices among multiple reserve prices. ④ The company that submitted the bid with the construction amount closest to the bottom of the projected price will be selected. As mentioned above, the open competitive bidding method is a fair method because it selects a construction company by an arbitrary method. Deep learning technology is a technology that can solve various problems based on arbitrary arithmetic methods that were expected to have no pattern. there is.

Accordingly, the extraction unit 330 may predict a bid price that is closest to the successful bid price (predicted price) in the bidding announcement that can pass the qualification test. First, for example, bidding-related data for the last N years, for example, basic amount, estimated price, bid rate, etc., are automatically collected in a database using a web crawler. The collected data may be learned using a deep learning algorithm. For example, a representative deep learning algorithm, a Long Short-Term Memory (LSTM) algorithm, may be used. The LSTM algorithm is an algorithm suitable for time series data. After training is completed, the accuracy of the model built through M test datasets can be cross-validated and evaluated. As a result of the accuracy evaluation, if the prediction result of the system compared to the actual successful bid price is within the average error range of 5%, the prediction can be considered meaningful. can

The transmitter 340 may transmit the extracted bid notice to the user terminal 100 . It can be transmitted as shown in FIG. 4b or FIG. 4c. As described above, when providing a tender notice, the bid amount may also be presented together. At this time, in addition to the above-mentioned bid amount, a reservation price calculated as a plurality of reserve prices can be predicted with at least one artificial intelligence algorithm learned and tested on big data built as a successful bid information database. In this case, the at least one artificial intelligence algorithm may be a Multi Layer Perceptron (MLP) algorithm and an Adaptive Neural Fuzzy Inference System (ANFIS) algorithm.

<MLP Algorithm>

A multi-layer perceptron is a combination of several layers made of perceptrons, and consists of one or more hidden layers between the input layer and the output layer. It consists of one input layer, one or more hidden layers, and one output layer. Each layer is composed of nodes, which are processing elements, and these nodes are connected by lines to which connection weights are assigned, and individual nodes calculate the output value of the previous step. The hidden layer is called a node or a neuron and can be written as in Equation 2.

where W is the weight vector, X is the input vector, b is the bias, ψ is the activation function, and T is the transpose of the matrix.

<ANFIS Algorithm>

The Adaptive Neural Fuzzy Inference System is a model that combines the IF-THEN concept of FIS (Fuzzy Inference System) and the learning ability of ANNs. The ANFIS algorithm learns fuzzy rules and membership functions from given data, and functionally has the same network as the fuzzy inference system. Based on the given input and output data sets, it can be defined as a fuzzy inference system in which the parameter values of the membership function are adjusted by using the back propagation algorithm or the hybrid-learning algorithm back propagation and least squares method combined. there is. The structure of ANFIS consists of five layers as shown in Table 1.

Layer 1 Computing membership values of antecedent subvariables with the fuzzification layer Layer 2 Calculate the influence of Rule Layer 3 Normalize the strength of influence Layer 4 Consequent parameters (pv, qv, rl) Layer 5 Calculate the total output value

Min-Max Normalization changes the category of data to a value between 0 and 1 and is expressed as in Equation 3.

Min-max regularization has a disadvantage that it is highly affected by outliers. Standardization is also called Z-Score Normalization and is represented by Equation 4 as a method of data normalization that avoids outlier problems.

In Equations 3 and 4, x is a corresponding value, xmax is the maximum value, xmin is the minimum value, m is the average, and σ is the standard deviation.

<Artificial Intelligence Algorithm Modeling>

Among the electronic bidding data that have been successful in the past, the successful bid price for construction in each field is collected. For the past 5 to 10 years, the successful bid information data ordered through the Nara Marketplace of the Public Procurement Service can be used as a sample, and the modeling method is ① data collection on public and private client data, ② data preprocessing, ③ data modeling (MLP, ANFIS), and ④ bidding It can go through the process of price prediction, comparison of models using regression indicators, and ⑤ model evaluation. After collecting successful bidding data from specialized bidding sites and the Public Procurement Service and pre-processing the data, the four characteristics of basic price, estimated price, example price (multiple reserve price) range, and minimum successful bid rate are set as input variables, and the successful bid amount is set as output variable. After training with training data and test data at a ratio of 7:3 using Python and TensorFlow, the winning bid data of the last 3 months can be designated as actual data. Since the winning bid amount data is large, after scaling it using Min-Max (Min-Max Normalization) and Std (Standardization), prediction experiments can be performed using the MLP algorithm and ANFIS algorithm model, which are deep learning techniques. Set the epoch for each model, change the learning rate, and repeat the experiment more than N times. In the ANFIS algorithm, the number of fuzzy rule rules can be set as n = 4 control variables (input variables), fuzzy language variables (greater than the lower bid limit, smaller than the lower bid limit) m = 2, and the maximum number of control rules m ⁿ = 16 there is.

<model evaluation>

Model evaluation compares the predicted value and the actual value with the algorithm model using regression indicators of mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and mean absolute proportion error (MAPE).

In Equations 5 to 8, n is the number of data, yi is an actual observed value, (hat)yi is a predicted value, and ε is an error.

The best learning rate can be found by comparing the results of the MLP algorithm and the ANFIS algorithm, and an algorithm with a high accuracy rate that does not have a large difference between the actual value and the predicted value is applied, and re-learning can be continued using feedback data. However, due to the nature of the multi-price lottery method, it is difficult to accurately predict the probability of a successful bid, but it can help speedy decision-making by simply informing you where you are among the participating companies and what the probability is. Due to the nature of the winning bid method (random number system) of electronic bidding, even if the error is small and the accuracy is high, as in the test result in the bidding price prediction, it may not match the actual lottery result. It can be improved, and it can provide a clue for decision-making to each participant, so it can help participating companies.

After receiving the license information and company information from the user terminal 100 in the input unit 320, the unsatisfied notification unit 350, at least If one evaluation criterion is not satisfied, a message about unfulfillment of at least one evaluation criterion may be displayed. In this case, as shown in FIG. 4C , the message for not satisfying at least one evaluation criterion may include calculation failure, qualification confirmation, insufficient score, and single failure.

The price calculator 360 may transmit the bid notice extracted by the transmitter 340 to the user terminal 100 and then proceed with a price calculation process of the extracted bid notice. The price calculation process calculates the price based on the A value and the net construction cost, and the A value can be the sum of the national pension, health insurance, retirement mutual aid payment, long-term care insurance for the elderly, occupational safety and health management cost, and safety management cost. there is.

After receiving license information and company information from the user terminal 100 in the input unit 320, the report providing unit 370 may output a result report calculated by the qualification examination engine. At this time, as shown in FIG. 4B, the result report is a report comparing the scores according to the items of evaluation criteria, evaluation license, evaluation ratio, construction experience, business status, credit rating, additional points, and other items with the evaluation criteria, and construction experience is the actual amount and scores according to the accreditation period, and management status may include scores according to average current ratio evaluation criteria, average debt ratio evaluation criteria, and business period.

Hereinafter, an operation process according to the configuration of the above-described analysis service providing server of FIG. 2 will be described in detail with reference to FIGS. 3 and 4 as examples. However, it will be apparent that the embodiment is only any one of various embodiments of the present invention, and is not limited thereto.

Referring to FIG. 3A , the analysis service according to an embodiment of the present invention can input by owner, input by user as shown in FIG. 3B , and output details of the input by owner as shown in FIG. 3C . there is. In addition to this, the analysis service of the present invention also analyzes the qualification examination score. If the bidding amount is 70 points and the eligibility test is assigned 30 points, the above-mentioned bid score informs the former amount or increases the possibility to make it close to 70 points, the qualification examination engine according to an embodiment of the present invention The latter, that is, if you make the qualification score close to 30 points or if there are unsatisfied scores or items, this is to tell you what and how to supplement them further. Based on the concept of FIG. 4a, a result report as shown in FIG. 4b and a notification for each item as shown in FIG. 4c are guided.

Matters not described in the method of providing the electronic bidding information analysis service using the qualification examination engine of FIGS. 2 to 4 are the same as those described in the method of providing the electronic bidding information analysis service using the qualification examination engine through FIG. Since it can be easily inferred from the same or described contents, the following description will be omitted.

5 is a diagram illustrating a process of transmitting and receiving data between components included in the system for providing an electronic bidding information analysis service using the qualification examination engine of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process of transmitting and receiving data between each component will be described through FIG. 5, but the present application is not limited to such an embodiment, and according to various embodiments described above, It is obvious to those skilled in the art that a process of transmitting and receiving data may be changed.

Referring to FIG. 5, the analysis service providing server configures the qualification screening engine based on the evaluation criteria and evaluation method including the updated version for each owner and the updated version for each license in which the evaluation elements for each owner in the tender notice are updated. (S5100), license information and company information are received from the user terminal (S5200).

In addition, the analysis service providing server extracts a bid notice that satisfies the evaluation criteria in the qualification examination engine with license information and company information of the user terminal (S5300), and transmits the extracted bid notice to the user terminal (S5400).

The order between the above-described steps (S5100 to S5400) is only an example, and is not limited thereto. That is, the order of the above-described steps (S5100 to S5400) may be mutually changed, and some of the steps may be simultaneously executed or deleted.

Matters not explained in the method of providing the electronic bidding information analysis service using the qualification screening engine of FIG. 5 are the same as those described in the method of providing the electronic bidding information analysis service using the qualification screening engine through FIGS. 1 to 4. Since it can be easily inferred from the same or described content, the following description will be omitted.

The method for providing an electronic bidding information analysis service using a qualification screening engine according to an embodiment described with reference to FIG. 5 is in the form of a recording medium containing instructions executable by a computer, such as an application or program module executed by a computer. can also be implemented. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer readable media may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above-described method for providing an electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention is an application basically installed in a terminal (this may include a program included in a platform or operating system basically installed in the terminal) ), or an application (that is, a program) installed directly in the master terminal through an application providing server such as an application store server, an application, or a web server related to the corresponding service. In this sense, the above-described method for providing electronic bidding information analysis service using a qualification screening engine according to an embodiment of the present invention is implemented as an application (i.e., a program) that is basically installed in a terminal or directly installed by a user, and is implemented in a terminal, etc. can be recorded on a computer-readable recording medium.

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

Claims (10)

In the analysis service providing method executed in the analysis service providing server,
Configuring a qualification screening engine based on evaluation criteria and evaluation methods including an updated version for each owner and an updated version for each license in which evaluation elements for each owner in the bidding notice are updated;
Receiving license information and company information from a user terminal;
Extracting a bid announcement in which license information and company information of the user terminal satisfy evaluation criteria in the qualification examination engine; and
Transmitting the extracted bid announcement to the user terminal;
A method for providing an electronic bidding information analysis service using a qualification screening engine comprising a.
According to claim 1,
The update version for each ordering party is,
Include evaluation factors including performance and management status,
The performance is a score calculated based on a perfect score standard and a score calculation standard,
The method of providing electronic bidding information analysis service using a qualification screening engine, characterized in that the management status is a score calculated based on a perfect score standard and a score calculation standard.
According to claim 1,
The renewal version for each license,
Including the date of announcement of performance, the date of announcement of average ratio by industry, and whether mutual entry is made through license coding,
The method of providing electronic bidding information analysis service using a qualification screening engine, characterized in that whether the mutual entry is based on whether the mutual market entry is permitted or whether the mutual market entry is permitted or not.
According to claim 1,
In the step of receiving license information and company information from the user terminal,
The license information includes business period, construction capability evaluation amount, and performance amount,
The method of providing electronic bidding information analysis service using a qualification screening engine, characterized in that the company information includes a credit evaluation, renewal period, management status including debt ratio and current ratio, and technician retention status.
According to claim 1,
After the step of receiving license information and company information from the user terminal,
displaying a message about unsatisfaction of at least one evaluation criterion when the license information and company information of the user terminal input to the qualification examination engine do not satisfy at least one evaluation criterion;
Method for providing electronic bidding information analysis service using a qualification screening engine, characterized in that it further comprises.
According to claim 5,
The method of providing an electronic bidding information analysis service using a qualification screening engine, characterized in that the message about the failure to meet the at least one evaluation criterion includes calculation failure, qualification confirmation, insufficient score, and independent failure.
According to claim 1,
After the step of transmitting the extracted bid announcement to the user terminal,
proceeding with a price calculation process of the extracted bid announcement;
Method for providing electronic bidding information analysis service using a qualification screening engine, characterized in that it further comprises.
According to claim 7,
The price calculation process calculates the price based on the A value and the net construction cost,
The value A is the sum of the national pension, health insurance, retirement contributions, long-term care insurance for the elderly, occupational safety and health management costs, and safety management costs.
According to claim 1,
After the step of receiving license information and company information from the user terminal,
outputting a result report calculated by the qualification examination engine;
A method for providing an electronic bidding information analysis service using a qualification screening engine, characterized in that it further comprises.
According to claim 9,
The result report is
It is a report that compares the scores according to the items of evaluation criteria, evaluation license, evaluation ratio, construction experience, management status, credit rating, additional points and other items with evaluation criteria,
The construction experience includes scores according to the actual amount and the recognition period,
The method of providing electronic bidding information analysis service using a qualification examination engine, characterized in that the management condition includes an average current ratio evaluation standard, an average debt ratio evaluation standard, and a score according to a business period.

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