Earticle

초록

영어

In the information age today, data are getting more and more important. While other industries achieve tangible improvement by applying cutting edge IT technology, the construction industry is still far from being enough. The imperfect methodology integrating cost and schedule data is the fundamental cause behind the times. The purpose of this research is to propose a new method to integrate cost and schedule data using big data technology, still remained as an unsolved assignment in the construction industry. The proposed method is designed to provide data integrity and flexibility in the integration process; considerable time reduction on building and changing database; and practical use in a construction site. It is expected that the proposed method can transform the current way that field engineers regard information management as one of the troublesome tasks into a data-friendly way.

목차

Abstract
1. 서론
1.1 연구의 배경 및 목적
1.2 연구의 방법 및 절차
2. 문제점 분석
2.1 현행 비용-일정 관리방법
2.2 EVMS
2.3 BIM 기반 4D&5D 시스템
2.4 빅데이터(Big date) 기술
3. 다차원-다수준 데이터 규브(Data cube) 정보구조
3.1 비용-일정 정보통합기술의 요구성능
3.2 다차원-다수준 정보의 개념
3.3 데이터 큐브(Data cube) 정보구조의 개념
4. 빅데이터 기반 다차원-다수준 데이터 큐브 시스템
4.1 정의
4.2 시스템 구현
5. 사례 연구
5.1 개요
5.2 세부 절차
5.3 요구성능에 대한 검증 및 분석
6. 결론
REFERENCES

저자

• 조대구 [ Cho, Daegu | ㈜나인티나인 기술연구소 연구소장, 공학박사 ]
• 이명도 [ Lee, Myungdo | ㈜연우테크놀러지 기술연구소 연구소장, 공학박사 ] Corresponding Author

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