• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.105-112
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• 2010

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.

• Korean Journal of Construction Engineering and Management
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• v.7 no.4 s.32
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• pp.78-90
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• 2006

There is no specific code and/or standard described in the specifications to check verticality for Pre-tensioned Spun High Strength Concrete pile installation process. The most commonly used method for the vertical PHC pile installation is a naked-eye measurement or water level measurement conducted by assistant crew in the construction sites. The main objective of the research is to develop the automated vertical controllable prototype equipment for PHC piles in order to achieve uniform construction qualify as well as improving safety and productivity. The paper explains the literature review on PHC pile and pile installation process, development of prototype, field test of the prototype and its performance evaluation in terms of quality and safety as well as productivity. The results of the research will lead the further researches on the automated pile installation system.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.177-181
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• 2007

The construction industry is still more labor-intensive than other manufacturing industries. Because of that, it is recognize as a 3D industry. So, many researches to solve it increase to apply robots as to construction sites. Robots are recognized to alleviate the problem of construction industry as the alternative. Therefore in this study, automatic construction system for high-rise building based on robots is developed with high profit as a better research than Japanese it which have gone in advance of robot technology in the world.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.187-188
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• 2015

The construction finishing work is emphasized according to high dependence on labor and long term that occupy approximately 40% in construction period, so that it is required for the alternatives such as automation technology. However, it is insufficient to develop the automation technology of construction finishing work compared to other works, for instance, frame work. Also it is not enough about this preliminary research which survey the improvement needs to select the development object. Therefore, this study aimed at derivation of detail works required improvement in ceiling finishing work by the questionnaire survey. These results may provide the basic information to develop the automation technology of construction finishing work.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.10a
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• pp.140-141
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• 2016

Dynamic nature and diverse requirements on construction sites make the automation technology harder to be employed actively. In this study, we analyzed optimal type of automation system and importance of core technologies for developing efficient construction automation system on 11 construction operations. As a result, it showed that man-machine cooperation system may be the most suitable for most operations, while autonomous robot will be best suited in hard working environment such as maintenance of exterior wall. In elemental technology, ease and accuracy of control and operation showed higher priority than others regardless of automation system type. These findings will provide useful information for developing the construction automation system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.05a
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• pp.111-115
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• 2008

The productivity is the one of the primary elements to evaluate the new systems performance for building construction along with the economic efficiency, the safety, and the quality improvement. At present the on-site construction automation systems(we will call it as Construction Factory or CF hereafter) is under the development by research group for construction automation of high-rise building. The system includes many sub-systems such as a robotic crane, a construction factory, bolting robots, a building material management system using RFID and so on. In this study we discuss and propose the method to evaluate for these hybrid on-site automation system fundamentally. In future we devise a framework of evaluation modules for the on-site building automation system on the basis of this discuss.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.59-60
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• 2012

A large-scale construction project relies much on the efficiency of construction equipment. Therefore, efficient and accurate measurement on the productivity of construction equipment is one of important task in the construction industry. Based on the motivation, this paper proposes a 11-axis composite sensor for an automatic measurement of construction equipment. A 11-axis composite sensor is composed of a gyroscope, geomagnetic and accelerometer sensor for the purpose of real-time motion captures of construction equipment. It is expected that the proposed system can save considerable time, effort and cost of measuring a efficiency of construction equipment.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.109-110
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• 2015

Estimation of rebar quantity may be used as an index to evaluate the economic feasibility of structural designs. However, when using the software to estimate the rebar quantity, there may be some limitations such as data loss caused by human errors and estimation delays caused by increased input time, since the information on arrangement of rebar is inserted manually. To solve the problems of such quantity estimation software, it is necessary to develop a method on automatic input/output of structural design information for quantity estimation and an algorithm for accurate estimation of rebar quantity. The purpose of this study is to improve the existing rebar quantity estimation by connecting with the database on information related to rebar estimation and the algorithm for rebar estimation, in order to develop an algorithm to estimate an accurate, net rebar quantity. The study result can be used as basic data for development of software for efficient structural designs and automatic framework estimation of buildings.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.209-212
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• 2009

During the last few decades, several companies and research laboratories have developed construction robots in an effort to improve productivity, quality, and reduce construction time and safety concerns. Recently, domestic construction industry is also interested in developing the construction robots. However, the studies on the research and development process is impossible in real field. A existing research's object is the development of the research on the assumption that construction's environment is a fixed form, But real construction's environment is very dynamic and atypical. So it is very difficult that we apply construction automation and robots. In order to solve this problem, this study deduce influential factors on decision making of frame construction scheduling for automated construction.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.160-161
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• 2013

Progress measurement is one of key tasks for cost and schedule management in construction management. However, there has been shortage of effort to implement for automated progress measurement. This paper proposes to use a face recognition (FR) technology for automated progress measurement and management in construction sites. The FR technology can acquire detailed progress data that includes the in and out information of labors by location. The expected effectiveness of the proposed system is to provide accurate labor information for progress measurement by utilizing automated data acquisition technology (DAT) with high-speed reading face. In addition, it could be applied to real-time safety and quality management by using the camera images.