Joonghwan Shin’s research while affiliated with CNS and other places

The recent fourth industrial revolution and the era of post-COVID-19 have ushered in a series of technologies including a 5G network and online systems, such as cloud computing technology. In other industries, extensive studies on cloud platforms utilizing such technologies were conducted. Although the cloud environment has taken on greater importance in the construction sector as well, it was used only for servers, failing to fully reflect the characteristics of the cloud system. In particular, compared to large architectural design firms, it is challenging for small to medium-sized design firms to establish a virtual cloud computing environment, which requires high capital investment. Targeting small to medium-sized architectural design firms in Korea, this study was conducted to introduce the VDI system, one of the cloud computing technologies that was recently used in other industries, to the BIM environment for initial application, operation, and management. Specifically, after an analysis was carried out to see if the VDI system utilized in other industries may resolve the hindrance faced with the BIM environment in the construction industry, the KBimVdi system was created based on an algorithm for estimating server scales by analyzing the VDI system suitable for the BIM work environment. This was followed by a validation of the KBimVdi system based on selected projects carried out by small to medium-sized architectural firms where BIM was used for design work.

This workshop proceedings contain the final author versions submitted to the CIB World Building Congress 2019. All articles originally appeared in the official proceedings of the CIB World Building Congress 2019 which can be accessed through www.cibworld.nl CIB Working Commission W119 on Customized Industrial Construction has been established as the successor of former TG57 on Industrialization in Construction and as a joint CIB-IAARC Commission. Prof. Dr.-Ing. Thomas Bock, Technical University of Munich, Germany is the appointed Coordinator of this Working Commission. W119 embraces a variety of focused task groups that work on the intersection of architecture and construction-related topics with advanced technologies such as ICRT, sensory, automation, robotics and medical technologies. These technologies provide solutions to future social, economic and environmental challenges. Whereas the yearly workshops of W119 in previous years had a broader scope (e.g. focus on settlements, etc.) regarding the application of automation, robotics technology, and advanced prefabrication solutions in the context of built environment, the 2019 workshop focussed on Automation and Robotics in Construction. Robotic solutions along the construction value chain and the major phases of the actual construction process (component production, logistics, prefabrication, on-site construction, maintenance, etc.) are gaining on a worldwide level more momentum. W119, therefore, saw a need to reflect this with the topic of this year’s workshop. The contributions to this year’s workshop cover key aspects of future automated and robotic construction such as logistics (Smart lift control and monitoring for super high-rise building construction project), building exterior finishing (Developing a roadmap for implementing on-site construction automation and robotics in Hong Kong), the analysis of work procedures (A non-intrusive method for measuring construction workers’ muscle) as well as tools for strategic foresight and requirements engineering (System boundaries of implementing construction robots for buildings). As of late, the development of “hard” physical-mechanical robots and automation systems for the execution of construction tasks are gaining increasing interest. This manifests itself in an increase in academic research activity, joint industry-academia collaboration projects, the emergence of start-ups and a strong and growing interest of large, established organisations. W119 and the contributors to this workshop are dedicated to support further market uptake of such solutions with their research and development activities.

Inaccurate information regarding the terrain in construction projects represents a major challenge to the earthwork process. Both construction quality and productivity have to be addressed by means of efficient construction information management in large earthwork projects in order to ultimately improve the cost-effectiveness of such projects. Research into the technologies for creating precise three-dimensional data and maps of earthwork sites is progressing steadily. These technologies aim to make it possible to conduct unmanned operations, leading to the effective management of earth working equipment. In recent years, as the importance of three-dimensional (3D) shape information management has grown in the construction industry, the research and application of 3D point cloud acquisition methods has likewise increased. The current method for acquiring point cloud data through laser scanning renders it difficult to acquire point clouds in large construction projects, especially in earthwork projects, due to the topographic conditions of the site as well as the physical and material limitations of the laser scanning equipment. In order to overcome and compensate for the limitations of laser scanning, image-processing technology involving unmanned aerial vehicles (UAVs) has been used to acquire point cloud data, although its application has been limited due to its low accuracy. Therefore, this study proposed a method for generating and merging hybrid point cloud data acquired from laser scanning and UAV-based image processing. In addition, a comparison was conducted between the datasets acquired from laser scanning and image processing, using examples from some case studies. Finally, an analytical comparison was performed to verify the accuracy of the UAV-based image processing technology for earthwork projects.

As the height and size of urban buildings constructed in cities in Korea have recently increased, vertical lift planning and operation is a key factor for the successful project of a tall building. Although many studies have attempted to set up a lift planning system at an early stage, a real-time lift operation control system with respect to the construction stage has yet to be proposed. Therefore, in this study, the sensor module and storage device named the Embedded Lift Information System (ELIS) was used to collect the lift operating data for improvement of lift operation efficiency in order to develop an optimum lift operating analysis system which could perform real-time analysis. Finally, the pattern of operation data of the lift was analyzed and the lift event of the next day was derived. In addition, we verified the efficiency of the proposed optimum vertical zoning simulation system using the expected lift event extracted from the operation history data pattern. In this paper, the proposed system provides more efficient vertical zoning alternatives for the lift manager. This simulation based decision making tool reduces the user's queuing time compared with the previous system. This system is expected to contribute to high-rise building construction of over 400 m.

As recent building have been getting higher and larger, vertical lift planning and operation are key factor for successful project. Although many studies have been trying to set up a construction lift planning system at early stage before lift installation, but there are not regarding lift management for on-going project using operation data from the field. In this study In this study, to predict lifting event which may be generated during remained construction schedule, long-term time-series based data analysis was conducted. Data was collected embedded lift monitoring sensor and database. The pattern analysis was carried out reflecting characteristics of Tact based finishing work control. And this study shows an effective value of activity oriented time-series analysis to lift management on high-rise building construction. Lastly, this study has served as a key lead of lift monitoring based decision-making for vertical lift zoning. Therefore, it is anticipated to settle as a system based data-centric construction management technique in the field.

Recently BIM technology has been expanded for using in construction project. However its spread has been delayed than the initial expectations, due to the high-cost of BIM infrastructure development, the lack of regulations, the lack of process and so forth. In design phase, especially, collaboration based on BIM system has being a key factor for successful next generation building project. Through the analysis of current research trend about IT technologies, virtualization and BIM service, data exchange such as drawing, 3D model, object data, properties using cloud computing and virtual server system is defined as a most successful solution. In various industrial fields, cloud computing technology is utilized as a promising solution which can reduce time and cost of hardware infrastructure. Among the cloud computing technology, VDI is receiving a great deal of attention from it market as an essential part cloud computing. VDI enables to host multiple individual virtual machines by using hypervisor. It has an advantage to easy main device management. Therefore, this study implements a step-by-step user`s DaaS by analyzing the desktop resource data of the workers from Pre-design phase to Schematic design, Design develop and Construction design phase. It also develops BIM environment based on test of BIM modeler and designers in architectural design firm. The goal of the study is to enable the cloud computing BIM server. It provides cost saving, high-performance quality of working environment and cooperation`s convenience and high security when doing BIM work in small and medium sized architectural design firm.