• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.89-97
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• 2022

Recently, various problems such as reduced productivity, insufficient inflow of skilled manpower, reduced quality, and concerns about increasing safety accidents have appeared in the domestic construction industry. Stakeholder of construction project are considering the Off-Site Construction (OSC) method rather than the conventional on-site construction as an alternative. Despite the importance of decision making in the early stage of the adoption of OSC, there is a lack of methodologies for rational decision making. In this study, a decision making system has been developed to derive the final construction cost score by deriving the project characteristics, selecting the construction difficulty index, and developing a cost model for each construction method alternatives to calculate the standard construction cost. Using this system, the OSC method can be effectively evaluated in terms of its feasibility in the early stage of construction

• Smart Structures and Systems
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• v.20 no.5
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• pp.563-572
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• 2017

The safety of structures is closely associated with the structural out-of-plane behavior. In particular, long and slender beam structures have been increasingly used in the design and construction. Therefore, an evaluation of the lateral and torsional behavior of a structure is important for the safety of the structure during construction as well as under service conditions. The current contact measurement method using displacement meters cannot measure independent movements directly and also requires caution when installing the displacement meters. Therefore, in this study, a vision-based system was used to measure the in-plane and out-of-plane displacements of a structure. The image processing algorithm was based on reference objects, including multiple targets in Lab color space. The captured targets were synchronized using a load indicator connected wirelessly to a data logger system in the server. A laboratory beam test was carried out to compare the displacements and rotation obtained from the proposed vision-based measurement system with those from the current measurement method using string potentiometers. The test results showed that the proposed vision-based measurement system could be applied successfully and easily to evaluating both the in-plane and out-of-plane movements of a beam including twisting rotation.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.155-157
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• 2022

기존의 안전교육 교수방법은 강의 방식으로 전달하고 있어 근로자의 참여를 이끌어내는데 한계점이 있으며, 불안전한 행동에 의한 안전사고를 예방하기 위해서는 스마트 체험식 안전교육으로 패러다임을 전환할 필요성이 있다. [연구배경/목적]:스마트 체험식 안전교육은 건설현장에서 근로자들이 보다 더 빠르게 위험을 인지하고 여기에 맞는 안전작업 이행과 위험발생 시 응급대처 능력 등을 향상시키므로 사전사후 학습전이의 효과성을 검정할 수 있다. 이러한 관점에서 안전사고를 예방하기 위한 본 연구는 안전교육의 체험학습방법과 참여방법, 교육콘텐츠 접근방법을 통하여 근로자의 안전행동 유도와 불안전행동 감소에 미치는 영향검증이 목적이다. [연구방향/범위]:실제 건설현장과 동일하게 작업환경을 구성해 놓은 스마트 체험식 안전교육시설에서 추락체험, 낙하물체험, 장비협착체험, 화재, 감전재해 등의 실제 사고를 체험해 볼 수 있도록 만들어진 체험학습 방법과 가상(VR, AR, 메타버스)공간에서 간접경험 할 수 있는 참여방법을 다룰 것이다. 그리고 안전체험교육 사전사후의 분석을 통하여 안전 학습전이 성과를 분석한다. [연구 분석방법]:연구의 주요 변인으로는 Human-Error, 안전행동요인, 불안전행동요인, 위험감수성, 조직특성, 조직의 안전문화, 조직의 역량, 안전교육특성, 교육콘텐츠 변화가 사전사후 분석을 통하여 현장 작업 시 안전 학습전이의 효과성을 검정하였다.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.233-238
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• 2018

SMEs and small enterprises are making various attempts to manage SMEs in terms of equipment, safety and energy management as well as production management. However, SMEs do not have the investment capacity and it is not easy to build a smart factory to improve management and productivity of SMEs. In this paper, we propose a smart factory construction algorithm that partially integrates the factory equipment currently operated by SMEs. The proposed algorithm supports collection, storage, management and processing of product information and release information through IoT device during the whole manufacturing process so that SMEs' smart factory environment can be constructed and operated in stages. In addition, the proposed algorithm is characterized in that central server manages authentication information between devices to automate the linkage between IoT devices regardless of the number of IoT devices. As a result of the performance evaluation, the proposed algorithm obtained 13.7% improvement in the factory process and efficiency before building the Smart Factory environment, and 19.8% improvement in the processing time in the factory. Also, the cost of input of manpower into process process was reduced by 37.1%.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.138-144
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• 2021

In the electronic component assembly business, when product defects occur, it is important to track incoming raw material defects or work defects, and it is important to improve suppliers or work sites according to the results. The core task of the smart factory is to build an integrated data hub to process storage, management, and analysis in real time, and to manage cluster processes, energy, environment, and safety. In order to improve reliability through accurate analysis and collection of production data by real-time monitoring of production site management for electronic parts-related small and medium-sized enterprises (SMEs), the establishment of a smart factory is essential. This paper was developed to be utilized in the construction by defining the system configuration method, smart factory-related technology and application cases, considering the characteristics of SMEs related to electronic components that want to introduce a smart factory.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.19-20
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• 2015

Since 2013, Seoul Metropolitan Government (SMG) has introduced big data initiatively in administration and put into practices in transportation, safety, welfare in order to overcome limited resources and conflicting interests. For establishing a new midnight bus service, SMG prepared optimized midnight bus routes by analyzing big data from mobile phone Call Data Record (CDR) through collaboration with a telecommunication company. Despite of limited budget and resources, newly identified routes can cover over 42% of the citizen with 9 routes and less than 1% of buses compare with day time operation. In addition to solve transportation problem, SMG utilizes big data to resolve location selection problem for choosing new facility locations such as life double cropping centers and senior citizen leisure centers. As results, SMG demonstrates big data as a good tool to make policies and to build smarter city by overcome space-time limitation of resources, mediation of conflicts, and maximizes benefit of the citizen.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.157-158
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• 2023

본 연구는 건설기계에 의한 협착 및 충돌재해의 예방을 위해 사용하고 있는 스마트 안전관리 시스템 중 건설기계 근접 방지시스템의 재해예방 효과를 분석하여 그 안전성을 실증하고자 하였다. 건설기계 중 재해다발 및 위험성이 높은 굴삭기를 대상으로 스마트 안전관리 시스템의 유무에 따라 근로자(1,000명 기준)의 행동 변화를 라이다 센스 장비를 활용하여 분석하였다. 근로자-건설기계와 최단 이격거리, 위험구역 내 근로자의 체류시간, 위험구역 주변 근로자의 이동 경로 및 체류시간에 따른 근로자의 분포도 등 근로자의 행동 패턴을 분석한 결과스마트 안전관리 시스템을 설치한 건설기계가 미설치한 건설기계보다 근로자와의 이격거리 확보와 위험구역내 체류시간을 단축한 결과를 도출하였다. 이는 스마트 안전관리 시스템이 건설기계와 관련한 협착 및 충돌 등에 의한 재해로부터 근로자의 안전성을 확보한 결과라 분석되었다.

• Journal of the Korean Society of Safety
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• v.25 no.3
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• pp.83-90
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• 2010

In this study, it is conducted that the performance verification of the ambient load carrying capacity algorithm using long-term measurement systems of bridges. For this purpose, a steel-box type model bridge is fabricated and the public load carrying capacity of a steel-box model bridge is estimated by conducting the numerical analysis and load test. In addition, we compare the public load carrying capacity with the estimated result of a steel-box model bridge using the ambient load carrying capacity algorithm. By the assessment result, it is shown that the estimated ambient load carrying capacity is the difference of approximately 6.0 percentages as compared with the public load carrying capacity.

• Smart Structures and Systems
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• v.31 no.2
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• pp.141-154
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• 2023

After an earthquake, information regarding potential damage to buildings close to the epicenter is very important during the initial emergency response. This study proposes the use of crowdsourced measured acceleration response data collected from smartphones located within buildings to perform system identification of building structures during earthquake excitations, and the feasibility of the proposed approach is studied. The principal advantage of using crowdsourced smartphone data is the potential to determine the condition of millions of buildings without incurring hardware, installation, and long-term maintenance costs. This study's goal is to assess the feasibility of identifying the lowest fundamental natural frequencies of buildings without knowing the orientations and precise locations of the crowds' smartphones in advance. Both input-output and output-only identification methods are used to identify the lowest fundamental natural frequencies of numerical finite element models of a real building structure. The effects of time synchronization and the orientation alignment between nearby smartphones on the identification results are discussed, and the proposed approach's performance is verified using large-scale shake table tests of a scaled steel building. The presented results illustrate the potential of using crowdsourced smartphone data with the proposed approach to identify the lowest fundamental natural frequencies of building structures, information that should be valuable in making emergency response decisions.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.85-94
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• 2022

Construction industry is facing difficult challenges in terms of productivity, manpower, and industrial accidents. Currently, along with the 4th Industrial Revolution, various high-tech technologies are emerging, and efforts are being made to solve the problem by applying the technologies related to the 4th Industrial Revolution to the construction industry. As part of these efforts, research is being conducted to develop a construction equipment control system to increase productivity and safety at earthworks sites where many and various types of construction equipment are involved, and the system needs a function to increase productivity by optimizing the moving path of construction equipment. In the case of trucks, the location of the temporary road must be optimized in order to optimize the path of movement in the construction site. However, only matters related to the quality standard of temporary roads have been suggested so far, and there is no standardized process for efficiently determining the location of temporary roads. In this paper, the factors and its importance related to the location of the temporary road were identified through field surveys and interviews with experts, and a method for determining the location of the temporary road was presented. It was confirmed that the suggested method through a case study could improve the productivity of earthwork.