KR20220159802A - A method of construction information management system with using big data processing - Google Patents

Abstract

The present invention provides a method of using a big data-based construction project information management system. The method comprises: a data collection step in which source documents including at least one of quantity calculation statements, statements, and schedules are collected as structured and unstructured data in natural language by using big data scraping technology; a data processing step which converts the extracted data into a structured data format by using big data crawling text conversion technology, and processes the same into the information required for information construction; a step of automatically mapping upper level information to data cube by using a construction information standard classification system for each lower level data collected and processed from source information; a data building step of building big data consisting of 5W1H multi-dimensional information structure of who, when, where, where, what, how, and why; and a data mining module which utilizes OLAP and query optimizer to perform multi-dimensional-multi-level (Multi-perspective & LoD) information extraction and high-speed operation. The present invention can improve a high value-added engineering service through database analysis.

Description

How to use big data-based construction project information management system {A METHOD OF CONSTRUCTION INFORMATION MANAGEMENT SYSTEM WITH USING BIG DATA PROCESSING}

The present invention is a big data-based construction project information management system for expanding the domestic construction project database by collecting and analyzing vast construction project management information based on the development of big data mining source technology with dramatically improved information processing capability, and its use It's about how.

Construction project management can be largely divided into cost, process, quality, and safety management. Among them, details and process information are not only closely linked to each other, but are also key management items for objective performance indicators that can be expressed numerically. Despite the development of IT technology, in practice, information synchronization is difficult to manage in the form of a large number of documents.

Relational database-based estimate and details management S/W, process management S/W such as Primavera or MS Project, and PMIS for operating electronic documents are used as auxiliary means for cost and schedule management, and information linkage between data- The process of creating, extracting, and analyzing information is very inefficient due to lack of interoperability, and systematic information management in practice requires considerable time and effort, and is treated as a cumbersome task in practice, minimizing information management and major business after project completion. Management information is lost, but business management relies on individual capabilities.

Accordingly, in the case of the prior art, an Earned Value Management System (EVMS) has been developed. EVMS is recognized as an optimal methodology to provide standards for objective performance measurement, and the application of the technique is mandated as a “measure to improve efficiency in public construction projects”. In order to solve this problem, Percent Allocation Model (1987), Work Element Model (1989), Design Object Model (1989), Work-package Model (1991), Faceted System (1998), A number of models such as Flexible WBS (2004) have been presented over the past 50 years, but there are still technical problems in information integration.

In addition, despite tremendous effort and investment in the development of EVMS technology in the past, there are no cases in which information integration to the (lowest) level has been applied in practice, raising many questions about its effectiveness.

In addition, as another example, 4D & 5D of BIM (Building Information System) may be mentioned. In this case, 4D and 5D functions are the most noteworthy fields among the BIM technologies introduced with the development of computer performance and 3D design technology. Simulation, 3D object-based automatic calculation of quantity, and synchronization of information linked in real time with details can be seen as ideal technologies, and many SW technologies (Vico, Synchro 4D, Innovaya, U-mid system) , 5D With, Arbiese, etc.) have been developed, and a lot of investment is being made recently, mainly by large corporations. It is maintained as it is, requires specialized engineering knowledge, and it is difficult to flexibly respond to design changes, quantity changes, material and method changes linked to object shape information, and operating by linking data information, calculation information, and simulation information to graphic memory In order to activate practical application, high-functional SW / HW is required, and other problems such as slow processing speed, bugs, system errors, information omission, typo, and mistake-related consistency, standardization problems, etc., require considerable technological improvement.

In particular, the current status and problems of domestic construction industry performance data are described as follows.

- standard product

① Out of total 2310 items, only 50 to 60 items are revised every year, and new technology-new method-market transactions are not reflected in a timely manner.

② Decreased utilization due to complex DB composition system, decreased reliability due to product and price set excessively higher than actual

③ From 2004, the standard cost calculation method was changed to the performance construction cost system.

- Performance construction cost

① A system that collects construction cost information contracted in the past and applies it when determining the construction cost of similar constructions in the future

② Due to excessive competition, the actual market price was not reflected as the actual market price was not reflected due to the gradual decrease in the actual market price due to the repeated application of low-price bidding, ordering and bidding method, and repeated application of past contract unit prices. Changed to standard market unit price system

- Standard market unit price

① Fully introduced standard market unit price system from 2017 with the goal of realizing public construction construction costs by collecting and verifying various price information such as contract unit price, actual construction unit price, bidding unit price, etc.

② While effective system operation is expected, continuous controversy over data reliability

③ While it is necessary to establish a market price that reflects various factors that affect construction costs (scale, region, transportation, working conditions, construction difficulty, market conditions, constraints, bidding method, etc.) to meet the purpose of the standard market unit price system,

④ For the standard market unit price DB, the Ministry of Land, Infrastructure and Transport transferred authority to the Construction Cost Management Center of the Korea Institute of Civil Engineering and Building Technology, presents only a single unit price nationwide, and has financial, physical, and temporal limitations to reflect the diversity of the DB with limited organizational efforts.

⑤ In order to calculate various price information on a standardized basis, it is necessary to collect multiple construction project data with similar project characteristics, and to reduce deviations through statistical processing by region, scale, and project characteristics.

⑥ Rather than establishing a uniform DB in some organizations, by ordering organization (Highway Corporation, LH, SH, Water Resources Corporation, Public Procurement Service) or collection agency (Korea Construction Association, Korea Professional Construction Association, Korea Architects Association, National Geographic Information Institute, local land management office, etc.) Diversity and reliability need to be supplemented through DB establishment and disclosure

That is, various problems are accompanied in the case of management other than this prior art.

The present invention was invented to solve the above conventional problems, in the case of the present invention,

○ Solving social issues 1: Securing source technology for innovative construction project information processing ▶ Data-friendly construction industry

- The proposed new concept big data-based information processing technology is a technology that can freely extract the information requested by practitioners in real time from complex, diverse, diverse, and vast construction project information, and can dramatically improve information processing and operation.

- Proposal of source technology that satisfies technology development of 3 billion won per year and technology demand of 50 billion won

- Improving information accessibility based on information processing efficiency; Contributing to the creation of a data-friendly construction industry

○ Solving social issues 2: Securing scientific decision-making support analysis technology ▶ Data-based decision-making construction industry

- Recognizing that the importance of data and its potential value will increase in the future in the construction industry, thinking about ways to improve the level of data utilization capabilities

- Big data-based decision-making support technology presents various information analysis techniques required for construction business operation, discovers new values, integrates analysis, and serves as a general technology for advancement of management capabilities, knowledge-ization, and scientificization

- Scientific decision-making based on the diversity of information analysis tasks, minimizing unnecessary disputes, and assigning clear responsibilities; Data-based decision-making Contributing to the creation of the construction industry

○ Solving social issues 3: Securing technology for constructing a construction business database ▶ Living together and fair construction industry

- An objective and reliable appropriate construction cost DB is a basic prerequisite for a society where people live together and a fair society, such as fair and transparent budget execution, excellent quality assurance, improvement of unfair practices, subcontracting, and proper payment of workers.

- Utilization of big data mining source technology - Direct participation in a number of construction projects in operation Perform data mining service - Collect vast construction project DB based on quantitative and qualitative data processing capabilities - Statistical analysis of accumulated DB according to project characteristics *?* Various Unit cost and productivity database construction-distribution

- It is possible to build a reliable DB that directly participates in, surveys and discovers, and a diverse construction DB that considers business characteristics.

- Present a new paradigm that can overcome the financial, physical, and temporal limitations of building a vast construction industry DB

- Collection-statistical processing-analysis, public construction DB production-distribution tailored to the public, meeting the needs of the public to know (government 3.0)

- Contributing to the creation of a fair construction industry by establishing and disseminating a reliable, diverse, and representative DB

In order to achieve the above technical problem, the present invention utilizes big data scraping technology to collect source documents including one or more of a quantity calculation statement, a statement, and a process table as structured-unstructured data composed of natural language data. module, data processing module that converts the extracted data into a structured data format using big data crawling text conversion technology and processes it into information required for information construction, and construction information standards for each lowest level data collected and processed from source information 5W1H multi-dimensional information structure of who, when, where (WHERE), what (WHAT), how (HOW), and what method (WHY) A big data-based construction project information management system that includes a data building module for constructing big data consisting of OLAP, Query Optimizer utilization, multi-perspective & LoD information extraction, and a data mining module that achieves high-speed operation provides

According to another aspect of the present invention, the present invention utilizes big data scraping technology, a data collection step of data collection of a source document including one or more of a quantity calculation statement, a statement, and a process table as structured-unstructured data composed of natural language And, using big data crawling text conversion technology, the data processing step of converting the extracted data into a structured data format and processing it into the form of information necessary for information construction, and the construction information standard classification for each lowest-level data collected and processed from source information Using the system, automatic mapping of upper level information to Data Cube, and 5W1H multi-dimensional information structure of who, when, where, what, what, how, and why Using a big data-based construction project information management system that includes data building steps for building configured big data, OLAP, Query Optimizer utilization, multi-perspective & LoD information extraction, and data mining modules that achieve high-speed operation provides a way

The effects of the construction worker safety monitoring system and the control method according to the present invention configured as described above are as follows.

○ Construction project management information extraction and analysis system, decision support system, various DB collection, construction, and expansion system

○ Improving high value-added engineering services through database analysis

○ Commercialization model for future-oriented job creation and employment expansion

○ Creating a fair construction industry through the securing of reliability-diversity-representative DB

○ Technology: preoccupation with domestic and foreign big data technology standards, world technology leadership, entry into big data powerhouse

○ Social: Society living together by paying appropriate construction costs and guaranteeing profitability of successful bids / Eradication of unfair transactions, establishment of order in subcontracting, mutual credit contracts, fair society

○ Securing a solution that satisfies the annual technology development of 3 billion won and the technological demand of 50 billion won, reducing the cost required for information processing and operation by 25%, time by 50%, and effort by more than 75%

1 to 14 are schematic configuration diagrams and flowcharts showing a big data-based construction project information management system and a method of using the same according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, specific details for implementing the configuration of the construction worker safety monitoring system and method according to the present invention will be described based on embodiments with reference to the drawings. These examples are described in sufficient detail to enable one skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different from each other but are not necessarily mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in one embodiment in another embodiment without departing from the spirit and scope of the present invention. Additionally, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the detailed description set forth below is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all equivalents as claimed by those claims. Like reference numbers in the drawings indicate the same or similar function throughout the various aspects.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification can be used in a meaning that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

The present invention is the implementation of a construction project management system for big data mining technology, and the proposed technology sets a specific direction for development of big data mining as shown in Figure 4, and derives invention results through a clear scope and goal of invention development.

Timeliness and urgency Challenge of proposed technology The importance of information is gradually increasing in a super-advanced knowledge society.
Loss of important project management information after project completion
An urgent need to develop an efficient information processing system that can be used in practice First domestic and foreign application of big data technology, a core technology of the 4th industrial revolution, in the field of business management
Proposal of groundbreaking information processing improvement source technology Data is gradually expanding its potential value as a source of decision-making
Relying on personal experience-knowledge-intuition for key decision-making
Significant information that can be used for analysis is absolutely lacking, and it is urgent to develop a database establishment plan for construction management technology Presenting innovative methodologies to support decision-making, such as insights based on data on construction projects, meaningful value analysis, and preemptive measures for problems Unfair trade, contracts of mutual distrust, and non-transparent cost execution stem from unreliable construction unit price information.
Available public DBs are very limited in terms of quality and standard market unit price.
There is an urgent need to develop a diverse DB that can reflect project characteristics, a reliable DB collected directly from the field, and a representative public DB that anyone can use. Presenting a new paradigm that can overcome the financial-physical-time limitations of building a vast construction project DB
Suggesting a role as an infrastructure for a fair society where everyone lives together

All. Application of big data technology to construction management information ▶ Possibility of successful technology implementation ○ Big data has three characteristics: volume, variety, and velocity, and storage technology, collection technology, analysis technology, and visualization Focusing on Technology Recent ① Rapid development of big data processing technology

○ On the other hand, construction project management information related to quantity-cost-schedule-completion is in the form of multiple documents (quantity calculation statement, statement, schedule, work report, completion bill, etc.) by multiple partners ② Massive data is produced momentarily It can be defined as big data in terms of

○ The types of data accumulated by construction companies consist of information related to cost and financial management (74%) and schedule management (49%) (Construction Industry Invention Agency 2014). In particular, cost schedule information is sufficient for PMIS and ERP. While accumulated, utilization is very low, level of simple data storage; ③ Very easy to access and collect data

○ Most of the project management information represented by quantity, details, process, and ready-made information is structured-semi-structured text in the form of electronic documents. ④ It is easy to process, process, transmit, store, and verify data.

○ Big data technology is an information processing technology suitable for complex, diverse, diverse, and vast construction project management information characteristics.

○ Can play a role as a satisfactory solution for technology development worth 3 billion won a year and technology demand worth 50 billion won

○ 2 cases in the 1st year, 2 cases in the 2nd year, on-site verification through 4 test beds, verification of commercialization through 3 contract projects, application of big data technology to a total of 7 construction projects in operation, 3rd stage empirical technology to be verified

la. Creativity and excellence of development technology ▶ Problem solving method and appropriateness of effort

○ The problems of existing construction management information integration methods such as EVMS and BIM 4D&5D are summarized as shown in <Table 2>.

○ The proposed technology is approached with a methodology of a completely new concept as shown in Figure 4, and presents a clear solution to the existing problem.

○ Proposal of technology that guarantees drastic improvement in information construction-processing-analysis capabilities based on the originality and excellence of original technology

Traditional Technology Approach Vs. Proposal technology differentiation

Existing method problem Proposal method
(technical ingenuity) problem solving
(Technical Excellence) Numbering
coding Utilize cost/schedule and related standard classification system
Requires long and difficult to understand code Natural language based metadata Using natural language as metadata without using any code, anyone can easily understand WBS,
CBS,
Build OBS, etc. Hierarchical
When upper-level information is journalized, the number of lower-level information increases exponentially.
Representation of information by linking each information structure, limit of expression of information at various levels cube
(Data Cube) information structure Independent information structure (Facet) based on the 6ha principle
Each face deploys 4 or more levels of information (LoD)
The number of information is constant regardless of the information journalization at the upper level two dimensional
information representation Two-dimensional information representation composed of rows and columns
Multilevel Information LoD Representation Limits
Object, process, history, time, organization, construction method, etc. Limitation of multiple information expression Multi-dimensional - multi-level - multi-functional information representation OLAP function is used for information structure composed of multi-dimensional (6-dimensional) + multi-level (4-level), and required information can be freely extracted DB Sheet vertical integration linkage The 50 billion project requires more than 1 million DB, requiring considerable time to build
Considerable time/effort required to modify information on design, construction method, material change, etc.
Feature-driven limitations of existing databases, such as filters, sorting, journal entries, and consolidation. Hyper Data
Cube: OLAP
High-speed information extraction algorithm Simultaneous parallel processing of 10 to 1000 processors of big data technology
Dramatic reduction in data operation/processing/extraction time: required information extraction within 10 seconds, analysis within 30 seconds, report creation within 60 seconds
Easy conversion to complex DB graphic information Complex system operation such as SQL, Query, RDBMS Professional S/W requirements that require considerable knowledge, operational skills, and costs
Substantial time and effort required for low-level cost schedule integration, lack of practical feasibility Excel-based
interface Big data platform production, high-speed-high-efficiency-high-quality information extraction-analysis-DB creation
Users utilize the Excel-based interface, and anyone can easily extract required information by dragging and dropping the mouse.

mind. Specificity of technologies possessed and maturity of technology implementation ▶ Possibility of commercialization of invention development ○ The maturity level of source technology possessed by the host organization (big data-based information integration algorithm, current TRL 6 level) is a basic premise that determines the success of the present invention proposal.

○ This section specifically explains the technology realization method through a pilot project to which the source technology is applied, and proves the potential for commercialization of the technology.

○ The scope of the database to which big data mining technology is applied includes the scope of the following information required for current construction management management

- Cost information: construction budget report, standard cost invoice, quantity calculation statement, estimate, CBS, construction daily report, contract and change status report, subcontract agreement, advance payment statement, design change statement, standard cost calculation and first-class price, etc.

- Process information: construction plan, work classification step-by-step schedule report, main process report, total/monthly/weekly schedule, resource schedule report, process meeting minutes, process comprehensive analysis report, sluggishness and recovery measures report, etc.

- Work report: Daily (monthly) work report, daily (monthly) process checklist, daily workload plan, daily checklist, etc.

- Performance information: work performance report, construction progress report, completion part supervision report, completion inspection result report, S-curve, EVMS, construction progress plan and performance report, completion calculation statement, comprehensive completion report, etc.

- Resource information: Remaining quantity list by resource, equipment procurement schedule plan, material import report, equipment supplier approval and production request, workshop takeover plan, construction daily report, specifications, quantity calculation report, etc.

- Labor information: Subcontract approval application form, labor input plan, manpower allocation plan, employee life record, new hire management plan, daily dispatch management report, etc.

Step 1: Collect Source Documents (File)
Basic source information collection: quantity calculation statement (2,315 pages), contract statement (28 pages), monthly schedule schedule

Step 2: Extracting text information from the source
Collecting semi-structured data composed of natural language from documents using big data scraping technology <Refer to Figures 5 and 6>

Step 3: Structuring and Sequencing Mixed Raw Data Information

Utilizing big data crawling technology, the properties of extracted raw data are sequenced into each 5W1H information structure

Upper information utilizes logic that automatically determines the standard information classification system (Metadata role)

<Example> When a specific date for a milestone task is determined, year > quarter > month > week > upper level information of the specific date is automatically determined

○ Information extracted from the quantity calculation sheet (calculation standard for each member);

- Spatial information (WHERE): L1 project (4th Asiapolis) > L2 building (401 building) > L3 type (70A+84A+B) > L4 floor (1)

- Object information (WHAT): L3 member (column) > L4 member name (AC2).

○ In the same way, information structure is established by serializing extracted information from statements/process tables.

○ It is possible to build a multi-axis-multi-level information system as shown in <Table 3> by linking quantity-description-process information

Step 4: Build big data with 5W1H Data Cube structure

28 axes extracted from source information (Column: composed of 21 independent variables and 7 dependent variables)

Apply extracted 1,282,520 items; Building big data consisting of 35,910,560 Cells

Step 5: OLAP-based high-speed request information extraction

Data mining utilizes the Slice, Dice, Rotation, Rollup, and Drill-down functions of OLAP (Online Analytical Processing),

Mouse drag & drop method in Excel, Multi-Perspective-Multi-Level of Detail information extraction and analysis

Pilot Project Verification Results:

Dramatic reduction of information construction and processing time, real-time extraction of various information

Current technology Requires about 20 man hours ▶ Currently, some use big data technology, apply semi-automation method, about 70 min. Required ▶ End of invention, development of complete automation technology for information processing, 10 min. can be shortened to less than

Free real-time extraction of various user-required information required for cost management, quantity calculation, ready-made verification, and process management

end goal Development of big data mining commercialization technology for construction industry DB infrastructure expansion detailed goal Development of construction project management information integration source technology for breakthrough information processing capability improvement Development of big data analysis technology to support scientific decision-making Development of database construction technology for construction industry DB infrastructure expansion

All. Yearly Invention Development Goals and Details ▶ Clearance of Intermediate Results

1) Construction project management information integration source technology for drastic improvement of information processing capability

○ 1-1. Collection of documents related to construction project management and investigation of information operation status

- Collection of documents related to project management by construction project participants

- Investigation of construction project management SW utilization status and information operation process

- Development SW development and system requirements, system architecture production

- Investigation of details and level of required information by document and purpose of use

○ 1-2. Source technology for big data-based construction project management information integration

- Construction project management information integration methodology and problem analysis

- Information Integration Algorithm for Ensuring Consistency-Integrity

- Construction Project Management Big Data Module 1-5

- Performance review of developed technology through test bed operation

④ Invention Details

1-2. Invention content Development of Big Data Meaning Software Module 1: Text Mining
Automatic Text & Semantic Mining Structured-unstructured data collection technology composed of natural language in source documents (quantity calculation statement, statement, process table, etc.) using big data scraping technology Module 2: Data Transformation
Data Parsing Utilizing big data crawling text conversion technology, converting extracted data into structured data format, and processing technology into information required for information construction Module 3: Metadata Mapping
Metadata Mapping Utilizing the construction information standard classification system for each lowest-level data collected and processed from source information, automatic mapping technology for upper-level information to Data Cube Module 4: Building Big Data
Big Data Building Big data construction technology composed of 5W1H multi-dimensional information structure of who, when, where, where, what, how, and why Module 5: Data Mining
Data Mining OLAP, Query Optimizer utilization, multi-perspective & LoD information extraction and high-speed computation technology

2) Development of big data analysis technology to support scientific decision-making ① Development goal

target Performance 2-1. Big data analysis technique to support decision-making in construction management 50 types of information analysis-insight-prediction-action automatic templates for decision support
Information analysis within 30 seconds, report creation within 60 seconds
Excel-based user-customized interface, easy information analysis by anyone with 30-minute training 2-2. Construction project management big data mining integrated platform 2-3. Extract-Analysis Database Reliability Review

② Main content and scope of invention ○ 2-1. Big data analysis technique to support decision-making in construction management

- Domestic and foreign big data utilization technology status survey

- Decision-making support analysis technique optimized for construction project management

○ 2-2. Construction project management big data mining integrated platform

- Construction Project Management Big Data Module 6-7

- Construction project management big data mining integrated platform

- On-site demonstration of developed technology, performance review of developed technology through test bed operation

- S/W user convenience survey and deduction of improvement points

④ Invention Details

2-1. Invention content Development of construction project management information analysis technique statistical analysis DB reliability review through general statistics and descriptive statistics, etc. CM theory analysis Direct/indirect cost minimization analysis, resource leveling optimization analysis, period reduction numerical analysis, etc. Earned Value Analysis Analysis of various project performance indicators such as SV, SPI, CV, CPI, EAC, and ACV time series analysis Data trend analysis according to time flow, project status identification Data Clustering Pattern Analysis Data correlation analysis through data decomposition-combination Other analysis Discovery of meaningful knowledge through Machine Learning, Genetic Algorithm, etc. 2-2. Invention development contents Development of big data mining software element technology <organized by Ninety-Nine Co., Ltd.> Module 6: Data Analysis
Data Analysis Big data analysis support tools (Statistics, Association Rule Mining, Classification
Analysis, etc.), various analysis technologies optimized for construction project management Module 7: Data Visualization
DB Visualization Utilization of big data visualization support tools (KendoUI, R, Python, etc.), automatic report & visualization (table, graph) implementation technology of analyzed information Integrated Platform Development: Modules Integrated in a Single Platform Development of a platform that integrates Modules 1 to 7 and operates as one system

3) 3rd year: Development of database construction technology for construction industry DB infrastructure expansion

① Development goal

development goal Qualitative Performance Goals 3-1. Development of construction project management advancement-knowledge-scientization methodology Construction project management advancement-knowledge-ization-scientific methodology using DB
10,000 project DB, public construction DB Book production-distribution
Securing database diversity such as unit price, work hours and productivity information, approximate estimate DB, etc.
Data mining service contract during the invention period: KRW 60 million 3-2. Production and distribution of construction project DB and public DB 3-3. Invention of systems and policies for building and disseminating construction business DB infrastructure 3-4. Construction project DB reliability verification and analysis technology performance review

② Main content and scope

○ 3-1. Construction project management advancement - knowledge - scientific methodology

○ 3-2. Production and distribution of construction project DB and public construction DB

- Construction project DB production and public construction DB production-distribution

④ Invention development details

3-1. Invention content Construction project management advancement - knowledge - scientific technique development Techniques for advanced construction management Work simplification through DB processing automation; Information extraction-analysis-reporting of regular/repetitive tasks; Implementation of One Click Report function; Management work efficiency improvement technique through information sharing Techniques for building construction management knowledge Plans for high value-added management technology such as commercialization of big data-based business management accumulation DB and economic assetization Construction project management scientific technique Data-based problem discovery, cause analysis, risk allocation, time/cost optimization scenario development; Database of construction project management knowledge 3-2. Invention content Production of project DB and public construction DB project DB

Accumulation of various databases from 4 test beds and 3 services Project Operation DB: Structural/Physical/Functional Database
Project Duration DB: Database by Week/Month/Quarter/Year Period
Project Analysis DB: Various analysis databases based on big data
Project decision-making DB: problem prediction-discovery-action-anticipation related database
DB by project participants: client, implementer, CM company, other specialized construction companies, etc.
DB by project management function: DB by management function such as quantity/cost/process/readiness/productivity, etc. Public construction DB

Statistics, analysis, and processing of the project DB are meaningful.
DB creation, distribution to public DB Statistical processing procedure and application to minimize DB deviation, public DB content big data standard (draft), public DB utilization guide production, DB reliability assurance
Area-facility-scale-space-method-work type-securing DB diversity by process
Produce unit-based DB, such as unit price information by unit area, productivity information by work type, and approximate production estimate information by facility, and secure DB representativeness 3-3. Invention content System and policy invention for building and disseminating DB infrastructure Report on Establishment of Institutional and Policy Strategies for Establishment and Expansion of Public Construction DB Understanding domestic and overseas construction DB construction status and analyzing domestic construction DB problems
Direction setting and policy invention for discovery and diversification of public construction DB
Development direction in connection with the current standard market unit price system
Industry-academia-research institute and government department cooperation plan for institutional-policy utilization
Policy proposal for establishment and expansion of public construction DB infrastructure

4. Utilization of Invention Results and Expected Effects 4-1. Utilization of Invention Development Results

○ Utilization plan for construction business operation

Used as an information extraction system required for project operation such as material management, labor management, productivity management, cost management, completion management, and process management in construction projects

Integrated analysis and insight on construction projects, and use as a meaningful information analysis system

Used as a decision-making support system such as discovery of various problems that occur during construction business operation, identification of causes, analysis of possible measures, cost-time optimization, etc.

- Collect various DBs generated during operation and use them as a DB construction system that is the basis for future project estimates and various comparative data

○ Utilization plan by subject

Designer: Accumulation of reliable design unit price, used as a means of reviewing design alternatives at various unit prices

Construction project manager: Inducing more improved decision-making of the owner through multi-angle analysis of construction method and material changes, such as construction period, cost, and productivity; Securing evidence data through DB, mediating disputes; Used as a means of objective performance measurement, clear payment, reasonable dispute mediation and dispute minimization, and systematic report writing

Owner: Leading construction project operation through clear execution of ready-made projects through easy and quick DB analysis, elimination of unfair transactions and establishment of subcontracting order, and improvement of management capabilities; Accumulate construction cost information by ordering agency in the long term and operate construction projects suitable for the characteristics of each agency

Construction companies and specialized construction companies: improving construction methods-productivity-operating procedures through data analysis; seek ways to expand our strengths and cover our weaknesses; Development of high-quality engineering services for owners and contractors, and use as a way to improve competitiveness in winning overseas orders based on DB utilization capabilities

○ How to utilize reliability-diversity-representative database

division Short-term utilization plan Long-term utilization plan private
business Scientific construction project management by DB, risk minimization
Objective performance measurement, clear payment, minimization of disputes
Securing evidence data through DB, mediating disputes
Activation of communication through activation of information sharing
Improving the quality of intellectual service provided to the client DB commercialization, knowledge development, and economic assetization
Development of high value-added services through DB accumulation
Guaranteed bidding profitability by improving approximate estimate DB accuracy
Strengthen construction project management knowledge and technological competitiveness
Improvement of corporate image through advanced management technology public
business Transparent and clear ready-made payment by data
Leading operation and management of construction projects
Comparison with existing construction projects, identification of problems in current projects, and derivation of improvement plans for future projects
Source data for eradication of unfair transactions and establishment of order in subcontracting Domestic construction industry DB infrastructure
Establishment of low-cost DB, accumulation of various DBs reflecting the characteristics of each ordering organization
Efficient execution of public budget, realization of transparent administration
Use as source data for institutional and policy improvement
Satisfying the people's right to know through the expansion of public DB

4-2. Expected effects of invention development achievements ○ Technological ripple effects

- Securing big data technology that will dramatically improve informatization of outdated construction projects

- Securing advanced, knowledge-oriented, and scientific technologies for construction project management, such as work efficiency, diversification of analysis, and high value-added knowledge

- Securing economic feasibility-efficiency-future scalable big data-based construction project DB operating system

- Reinforcing company-department-private information competitiveness and vitalizing communication by improving information accessibility

- Active use of data in construction management tasks, induce data-friendly construction culture

- Improving approximate estimating technology and guaranteeing successful bidding profitability by securing reliable and diverse DB

- Development of new value in construction business through integrated analysis and insight

- Prioritize construction project management big data and data mining technology standards in overseas markets

- Leading global market technology, entering construction big data powerhouse

○ Social ripple effect

- Induce the conversion of a construction culture of mutual trust, such as data-based decision-making culture, minimization of disputes, and eradication of unfair transactions

- Image improvement from 3D industry, labor-oriented industry to high value-added-technology-oriented-future-oriented construction industry

- Government 3.0 Satisfying the people's right to know and expanding public services through active construction DB discovery

Expansion of Domestic Construction DB Infrastructure Diversity

- Realization of a society where people live together by paying appropriate construction costs and guaranteeing profitability of successful bids

- Disclosure of transparent cost information, elimination of unfair transactions, establishment of order in subcontracting, mutual credit contracts, realization of a fair society

○ Economic ripple effect

- Securing a solution that satisfies the annual technology development of 3 billion won and the technology demand of 50 billion won

- Reasonable dispute mediation based on data, minimization of dispute costs

- Reduction of 25% of information processing and operation expenses, 50% of time, and 75% of effort

- Saving of time, cost, and effort required to build a construction project DB such as standard market unit price

- Economic assetization of accumulated database, commercialization of management knowledge

- Improving data-based high value-added engineering services, strengthening competitiveness in winning orders in domestic and overseas construction markets

- Pioneering new markets for data mining service and DB establishment and sales with large potential ripple effects

- 4th industrial revolution technology, future-oriented high value-added job creation

In the above, the present invention has been shown and described in relation to preferred embodiments for illustrating the principles of the present invention, but the present invention is not limited to the configuration and operation as shown and described. Rather, it will be appreciated by those skilled in the art that many changes and modifications may be made to the present invention without departing from the spirit and scope of the appended claims.

Claims (1)

Using big data scraping technology, a data collection step of collecting data as structured-unstructured data composed of natural language source documents including one or more of a quantity calculation statement, a statement, and a schedule;
A data processing step of converting the extracted data into a structured data format using big data crawling text conversion technology and processing it into information required for information construction;
Using the construction information standard classification system for each lowest-level data collected and processed from source information, the automatic mapping step of upper-level information to Data Cube;
Data building steps for building big data consisting of a 5W1H multi-dimensional information structure of WHO, WHEN, WHERE, WHAT, HOW, and WHY;
How to use OLAP, Query Optimizer utilization, multi-perspective & LoD information extraction and big data-based construction project information management system including data mining module that achieves high-speed operation.

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