Choong-Hee Han

Analysis of Pre-construction Processes and Development of KMS Prototype of LNG Plant Projects

Recently, overseas construction projects have beenincreasing in the Middle East andSoutheast Asia regions. These projects require various licensesand technologies for the manufacturing and handling processes. Additionally, the efficiency of the entire process management life cycle determines the success or failure of the business. Nonetheless, there exist various risks involved in the whole life cycle process due to a lack of experience and knowledge of management techniques. The objective of this paper is to analyze the business process of a LNG plant throughout the pre-construction and procurement phases, and to identify the knowledge and information needed for the development of the KMS. The study also plans to build a comprehensive knowledge management system throughout the whole life cycle as its final objective.

Development of Core Technology for Object Detection in Excavation Work Using Laser Sensor

Earthwork is very equipment-intensive task and researches related to automated excavation have been conducted. There is an issue to secure the safety for an automated excavating system. Therefore, this paper focuses on how to improve safety for semi- or fully-automated backhoe excavation. The primary objective of this research is to develop the core technology for automated object detection in excavation work. In order to satisfy the research objective, a diverse sensing technologies are inve stigated and analysed in terms of functions, durability, and reliability. The authors developed detecting algorithm for the objects using laser sensor and verified its performance by several tests. The results of this study would be the basis for developing the automated object detection system.

A Study on Asset Valuation Method in Educational Facilities Delivered by BTL

A number of BTL projects for educational facilities have been augmented because of the increase of newtown development and deflationary policy of class size for learning efficiency. As the operation and maintenance costs rapidly increase, the budget for operation and maintenance is expected to be short. Therefore the asset management maximizing asset value is required to clarify the budget plan and distribution and provide a qualitatively high service. The main objective of this research is to establish asset valuation process in educational facilities delivered by BTL project. In order to meet the research objective, the asset valuation process is established by literature reviews, expert advice, and lessons learned from the developed countries. The developed process includes depreciation by internal accounting law, the core element of valuation, and asset valuation process. The results of the research will be help to offer the qualitatively high service and explain the standard of budget plan. It will assist commencing the asset management system.

Application of Metadata System for Efficient Information Management in Logistics of LNG plant

Abstract : Many research efforts have made on various fields to develop a system which is able to process diverse data in terms of efficiency and accuracy as well as minimizing the error in data-processing. As known, it is obvious that procurement is crucial process for the plant projects due to its importance and impact on the performance. It is strongly required to develop an effective metadata system to assist optimal controlling data for the logistics discipline of procurement processes in plant projects. Therefore, the main purpose of this paper is to apply a metadata system for logistics of the plant projects. The suggested technical module is tested using sample data and evaluated its performance in terms of accuracy and running speed. The results of this research will be extended to the other processes of plant projects in order to achieve a ultimately process-based life-cycle plant project information management system. Keywords : Plant, Logistics, Work Data, Information Management, Metadata

Development of O&M Data Management System for Pipeline Project in Permafrost Area

The securing of alternative energy is essential, since the Republic of Korea (hereafter, ROK) depends on 97% of its supply from overseas. Since G20 Summit Conference of 2011, it became possible to receive natural gas from Russia for 30 years starting from 2015 with mutual cooperative agreement for the procurement of natural gas/oil and minerals. It enabled Korea to advance to pioneering regions of extreme climate. However, it lacks the experience of design and construction of pipeline projects in permafrost area until now as well as the technique for the management of enormous information, which is generated from the project. This study aims to develop engineering data breakdown structure (DBS) and information flow of pipeline projects in permafrost area. The ultimate goal of this research is to develop a hierarchical structure of engineering/construction data for efficient project management in the extreme climate region. In order to achieve the research purpose, domestic and overseas literatures on this research topic are reviewed, and the business process of the design stage of pipeline projects in permafrost area as well as the characteristics of the important items are analyzed. Additionally, the result of this study will be used to build the comprehensive information management system for the entire process.

A computation model for Resource-based Lifting loads of the lift-cars for super high-rise buildings

Constructing super-tall buildings is significantly different from constructing general ones in every technological and managerial aspects. Especially lift-car operations planning and management is one of core parts among various management techniques required during the course of the whole construction process of the super-tall buildings because vertical movements of physical resources enormously affect the efficiency of the construction processes. However, discrepancy between lifting plans and actual lifting operations causes serious efficiency problems. As an effort to solve the problem, this research suggests an improved method of estimating resource-based lifting load. The computing model developed as a result of this research facilitates more accurate computation of the total operation time and the maximum lifting capacity of the lift-cars. Further, this research can be developed as a decision support system for the total lift-car operations management.

Development of Omnidirectional Object Detecting Technology for a Safer Excavator

The demand for the development of automated construction equipments is gradually increasing to deal with the current problems of construction technology, such as a lack of experienced workers, the aging of engineers, safety issues, etc. In particular, earth work such as excavation is very machine-dependent, and there has been a great deal of research on the development of an intelligent excavator, which involves great safety concerns. Thus, the objective of this study is to develop the technology to enhance the safety of intelligent excavation systems by developing an omnidirectional object detection technology for the intelligent excavator and applying it to a user-friendly system. The existing literature was reviewed, and the function of various sensor technologies was investigated and analyzed. Then, the best laser sensor was selected for an experiment to determine its effectiveness. An omnidirectional object detection algorithm was developed for a user interface program, and this can be used as the fundamental technology for the development of a safety management system for an intelligent excavator.

Development of Object Detection Technology Using Laser Sensor for Intelligent Excavation Work

The demand for the development of intelligent construction equipments is increasing gradually to deal with the current problems of construction technology such as lack of skilled workers, aging of engineers, safety issues, etc. Especially, earth work such as excavation is very machine-dependent, and there have been many researches on the development of intelligent excavator. This requires a great safety concern. Thus, the objective of this study is to develop the technology of enhancing the safety of intelligent excavation system by developing the essential technology of object detection for the intelligent excavator and applying it to a user-friendly system. Literature was reviewed, and the function of various sensor technologies was investigated and analyzed. Then, the best laser sensor was selected for an experiment to determine its effectiveness. Object detection algorithm was developed for a user interface program, and this can be used as the fundamental technology for the development of a safety management system for intelligent excavation work.

A Study on Optimal Inspection Interval for the Major Components of Construction Lift

One of recent concerns for super-tall buildings is how to manage hoisting plans and equipment efficiently. Disasters are frequently occurred in relation to electromotive hoists and cranes which are commonly used in construction sites. For construction lifts, particularly, it is highly important to conduct regular inspections or prepare against breakdown in terms of safety. However, unfortunately the reality is that regular inspections are only flatly conducted according to operating hours only. A lift, whose life span is subject to the complicated considerations such as operating hours, loading condition, and the like of each component, is far too invalid as a means of maintenance. As a way to resolve this problem and improve its convenience and safety for users, this study intends to calculate individual inspection interval for the main components of lifts by measuring their actual operating hours with sensing technology and analyzing their historical data. The findings of study include calculation of inspection intervals for the main components of lifts and classification of components to check by the actual operating hours of lift (40, 90, 130, 400 hours), which are drawn up into tables. This will make an opportunity to suggest efficient maintenance measures by enabling prevention of safety accidents and enhancement of safety for workers. Also, it will lead to increasing productivity of works by eliminating sources of delaying the term due to the breakdown of lifts.

Development of Tilt Module for Object Detection of Excavator

The construction industry has achieved many benefits through the mechanization of the construction. However, due to accidents for construction machinery, the mortality rate has increased rapidly. Thus, the objective of this study is to develop of tilt modules for object detection system of excavator. The modified laser sensor that increase the efficiency of object detection system was tested. Based on these results, tilt modules were developed through the conceptual design and detailed design. Then, this tilt modules can be applied to the safety management system of excavator and using this tilt modules will be able to improve the efficiency of the system.