• 한국정밀공학회지
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• 제16권2호통권95호
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• pp.87-94
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• 1999

The automated die design program is developed for cold forging of axisymmetric parts which are mainly produced by forward extrusion, backward extrusion, composite extrusion and upsetting. For this study, firstly classification of forged parts and investigation of die construction type usually employed in forging industry are carried out and the most proper type from several kinds of die construction is proposed as a standardized one. Based on the die design rules summarized in the references such as handbooks, technical papers, monthly journals, etc. the automated die design program was made using AutoLISP language available in AutoCAD software of personal computer. This program interactively runs for only input data, for example, forging process, shape of forged parts, type of punch, split of die insert and design of shrinkage rings and then displays details of drawings necessary to make a forging die. When a variety of forging processes and forged parts are tested to examine the validity of this program, it was confirmed to give good results applicable to the forging die design in press shop.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1059-1066
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• 2022

In 2020, it was estimated that more than 2.4 million households in South Korea are over 30 years old. That is, more than 40% of all houses in Korea are old and that they require proper rehabilitation. The two options to improve poor living conditions are reconstruction and remodeling. Compared to reconstruction, remodeling has advantages in terms of the construction period, cost, and environmental impact. As such, the current Korean regulations are more favorable for remodeling than reconstruction. Typically, several candidate floor plans are presented in the early stages of an apartment remodeling project. Extracting information about bearing walls and other structural elements from the multiple plans to compare those plans quantitatively is one of the essential tasks during the early stage of a project. To cope with this task, an automated data extraction method for walls and slabs from before and after remodeling plans is developed. Through the developed program, load-bearing walls, non-bearing walls, slabs, and weight changes after remodeling can be analyzed and visualized in a fast and automated manner.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 가을 학술논문 발표대회
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• pp.175-176
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• 2020

As the concrete pouring work relies on manual work, there is a lot of room for automated equipment development. In this study, as a basic study on the development of an automated system for pouring concrete, the trend of patent applications by year, country and detailed technology was investigated. Related technologies were classified into screed automation, CPB automation, and concrete pouring integrated system to analyze patent application trends. As a result, since 1999, patent applications have been steadily in progress, repeating increases and decreases in Japan, Korea, the United States, and Europe. In addition, the growth stage of the market is in the early stages of maturity, and patent applications for related technologies are expected to continue. In the future, based on the patent application trend analyzed in this study, the development direction of the automated concrete pouring system will be reviewed and the redundancy of similar technologies will be reviewed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 추계 학술논문 발표대회
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• pp.133-134
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• 2011

While researches related with construction automation have dramatically increased, a Robot-based Automatic Construction system (RCA system) has developed for high-rise buildings in Korea. At the aspect that wide adoption of the RCA system is dependent on economic efficiency comparing with a conventional method, feasibility study on the RCA system should be implemented. However, due to practical limitations, the RCA system has tested to a seven story building. Based on the test results, this study implements a cost/benefits analysis to a simulated forty story building in order to derive more reliable data on the RCA system's practicability.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.219-220
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• 2021

It is considered that the construction industry is one of the pivotal players in the national economy in terms of Gross Domestic Production (GDP) and employment. Behind the positive role of this industrial sector to the national economy, the construction industry generates approximately 50 % of the total waste generation from all the industrial sectors. There are several measures to mitigate the adverse impacts of the construction waste such as reduce, reuse and recycle. Recycling would be one of the effective strategies for waste minimisation, which would be able to reduce the demand upon new resources as well as enhance reusing the construction materials on sites. The automated construction waste classification system would make it possible not only to reduce the amount of labour input but also mitigate the possibility of errors during the manual classification process. In this study, we proposed an automated waste segmentation and classification system for recycling the construction and demolition waste in the real construction site context. Since the practical application to the real-world construction sites was one of the significant factors to develop the system, a YOLACT (You Only Look At CoefficienTs) algorithm was chosen to conduct the study. In this study, it is expected that the proposed system would make it possible to enhance the productivity as well as the cost efficiency by reducing the manpower for the construction and demolition waste management at the construction site.

• 한국건설관리학회논문집
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• 제11권6호
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• pp.14-23
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• 2010

건설 산업의 재해 중 상당 부분은 작업자의 이동 중 발생한다. 건설 현장의 안전관리는 작업을 중심으로 수행되며, 이는 이동 경로에 존재하는 위험원에 대한 안전관리 수준을 상대적으로 낮게 만든다. 많은 연구자들이 위험원을 인지하는 것이 안전관리의 기본임을 제시하였다. 따라서 본 연구에서는 자동화 데이터 수집기술(Automated Data Collection)을 이용하여 작업자의 이동경로에 존재하는 위험원에 대한 안전관리자의 인지를 지원하는 모델을 개발하였다. 모델은 실시간 위치추적기술 기반의 작업자의 위치정보와 BIM을 통한 최적이동 동선의 비교를 통해 일차적으로 위험 가능 지역을 찾는다. 그리고 기존 위험지역과 작업지역을 필터링함으로써 위험 가능 지역을 폭을 좁힌다. 이를 바탕으로 안전 관리자는 위험원이 존재할 가능성이 높은 지역에 대한 정보를 제공받고, 현장의 상황에 맞는 안전관리대책을 수립할 수 있을 것이다. 본 연구에서 제시된 모델을 통해 발견하지 못한 채 남을 수 있는 위험지역을 인지함으로써 안전관리 프로세스 범위에 속하지 않는 위험원을 줄일 수 있으며, 이를 통해 건설 현장의 안전 향상에 도움을 줄 것이라 예상된다.

• 한국건설관리학회논문집
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• 제7권4호
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• pp.78-90
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• 2006

대부분의 건축 토목공사의 기초공사 시 사용하는 기성콘크리트 파일공사의 굴착 및 파일 매입 작업의 경우 국내 시방기준에는 파일을 연직으로 시공해야한다는 것만이 명시되어 있을 뿐, 이에 대한 측정기준 및 시공기준이 제시되어있지 않으며, 대부분의 시공현장에서는 숙련노무자의 경험을 통한 육안측정에 의존하고 있는 실정이다. 본 연구의 목적은 기수행된 PHC 파일 시공성능 향상을 위한 연직 자동제어기 파일롯타입(pilot-type) 연구를 바탕으로 PHC파일 시공 시 균일한 시공품질을 확보하고 작업의 안전성 확보 및 생산성 향상을 위한 파일 연직 자동제어기 프로토타입(prototype)을 개발하는 것이다. 본 연구를 통해 제시된 PHC 파일 연직 자동제어기가 현장에 적용될 경우, PHC 파일 연직도 측정 및 제어의 자동화를 통해 품질 및 안전성 향상이 가능할 것으로 기대된다.

• 대한토목학회논문집
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• 제41권4호
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• pp.429-439
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• 2021

고령화로 인한 건설인력 감소에 대응하고 건설현장의 생산성 향상을 위해 일본에서는 2016년부터 정보통신기술을 활용한 자동화시공을 추진하고 있다. 일본 국토교통성은 ICT를 활용한 토공 자동화 시공을 뒷받침 할 새로운 비용 산정기준, 발주제도, 정부지원 정책을 마련하여 시행하고 있고 현장에서 활용할 수 있는 자동화 시공의 종류를 확대하고 있다. 우리나라도 ICT를 건설 현장에 원활하게 적용하기 위해서는 일본에서와 같이 우선적으로 ICT를 활용한 자동화 시공 관련 법과 제도, 정책 등을 정비해야 한다. 본 논문은 일본과 한국의 ICT를 활용한 자동화시공 관련 제도 및 정책을 비교·분석하여 벤치마킹하는 방법으로 연구하고 이로부터 시사점을 찾고자 했다. 연구 결과, 국내 건설현장에서 ICT기술을 활용하기 위해서는 한국 정부가 선도적으로 ICT기술 관련 비용 산정기준, 발주체계, 경제지원 정책 등을 마련해야 한다는 결론에 이르게 되었다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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• pp.76-77
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• 2016

This paper presents an automated construction quality nonconformity control method. Existing quality control process are confined attributed to the dependence on human quality personnels. They are inefficiency for continuos quality improvements and may cause project schedule delays when any nonconformity is handled timely fashion. For sure, It is important to identify the add hoc quality nonconformity control processes and to implement them into an automated system that controls its' work-flow. It would be desirable to develop the construction project quality nonconformity control system using Building information modeling(BIM) and Information and Communications Technologies(ICT). It may provide an effective platform to prevent quality issues that exist in the existing quality management practice.