[논문]스마트 건설을 위한 건설산업의 디지털화와 디지털 전환 방안 연구: 데이터 허브와 응용프로그래밍 인터페이스(API) 활용

김지명; 손승현; 윤경철

doi:10.5345/jkibc.2022.22.4.379

스마트 건설을 위한 건설산업의 디지털화와 디지털 전환 방안 연구: 데이터 허브와 응용프로그래밍 인터페이스(API) 활용
A Study on Digitalization and Digital Transformation of the Construction Industry for Smart Construction: Utilization of Data Hub and Application Programming Interface(API) 원문보기

한국건축시공학회지 = Journal of the Korea Institute of Building Construction, v.22 no.4, 2022년, pp.379 - 390

김지명 (Department of Architectural Engineering, Mokpo National University) , 손승현 (Department of Architectural Engineering, Mokpo National University) , 윤경철 (Department of Railway Management, Songwon University)

초록
AI-Helper

다양한 산업분야에서 4차 산업혁명 기술은 그 활용도가 날로 커지고 있다. 건설업계에서도 드론, IoT, 센서기술, 디지털트원 등의 도입을 통해 4차 산업혁명에 걸맞은 변화를 꾀하고 있으나, 그 변화는 타 산업에 비해 더디게 진행되고 있다. 그럼에도 불구하고 최근 불고 있는 건설업계의 디지털화와 디지털 전환은 건설산업이 처해 있는 고질적인 문제들을 개선하고 혁신하는 새로운 패러다임이 될 수 있다. 따라서 본 연구에서는 디지털화와 디지털 전환에 반드시 필요한 데이터 허브와 데이터 허브의 이용을 위한 API를 활용한 케이스 스터디를 진행해 보고, 이를 통해 데이터 허브와 API 활용에 대한 효율성과 타당성에 대해 고찰해 보았다. API 시스템 도입 시 일인 평균 약 23%의 예산 절감 효과가 있는 것으로 나타났으며, 약 4.4배의 비용대비 편익이 발생하는 것으로 나타나 사업 추진 타당성은 매우 높은 것으로 나타났다. 따라서, 본 연구의 결과 및 프레임 워크는 관련 연구의 기초 연구자료가 될 것이며, 관련 기술 도입을 촉진하기 위한 좋은 사례 연구가 될 것이다. 이는 궁극적으로는 건설업의 스마트화를 위한 디지털화와 디지털 전환에 기여 할 것이다.

Abstract ▼ AI-Helper

While the construction industry is striving to make changes suitable for the 4th industrial revolution era through the introduction of 4th industrial revolution technologies, such change is progressing more slowly than in other industries. Nevertheless, the recent digitization and digital transformation of the construction industry can provide a new paradigm to address and innovate the chronic problems faced by the construction industry. Therefore, in this study, a case study using a data hub and API for use of the data hub, which is essential for digitalization and digital transformation, was conducted, and the efficiency and feasibility of using the data hub and API were considered. When the API system was introduced, it was found that the average budget savings per person was about 23%, and the costbenefit ratio was about 4.4 times higher, indicating that the feasibility of the project was very high. The results and framework of this study can serve as fundamental research data for related research, and provide a worthy case study to promote the introduction of related technologies. This will ultimately contribute to digitalization and digital transformation for smartization of the construction industry.

주제어

표/그림 (14)

표 Table 1. Statistics of travel expenses
그림 Figure 1. Example of route search service using API
그림 Figure 2. Implementation of Google Map-based address information latitude and longitude conversion program
그림 Figure 3. Program run screen
표 Table 2. Criteria for travel expense calculation program
표 Table 3. Statistics of travel expenses
그림 Figure 4. Scatterplot of model calculation actual cost vs current payment standard transportation cost
표 Table 4. Pearson correlation analysis results
표 Table 5. Statistics of the actual cost of model calculation and transportation cost based on the current payment
표 Table 6. Difference between the current transportation cost by region and the actual public transportation cost
표 Table 7. Statistical analysis of the difference between the current paid transportation cost by region and the actual public transportation cost
표 Table 8. Difference between paid transportation expenses and actual public transportation expenses
표 Table 9. Changes in travel expense payment standards with API Model
표 Table 10. Results of business feasibility analysis according to API system establishment

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