• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.921-924
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• 2007

토목, 건축과 관련된 노동현장은 여느 3D 업종들과 마찬가지로 숙련된 기능공의 부재 및 산업재해 발생으로 인해 어려움을 겪고 있으며 이를 극복하기 위한 노력을 계속하고 있다. 대표적인 토목공사인 토공 작업 역시 위험 혹은 유해한 작업환경으로 인해 토공장비의 안전사고 및 생산성과 품질저하가 발생하며 이를 방지하기 위한 장비의 지능화가 절실하게 요구되고 있다. 이를 위해 최근 지능형 굴삭 시스템 개발을 위한 연구가 진행되고 있으며, 토공작업은 일반적으로 광범위한 작업영역을 가지기 때문에 지능형 굴삭시스템의 개발을 위해서는 효율적인 작업을 수행할 수 있도록 하는 작업계획의 수립이 매우 중요하다. 본 연구에서는 작업계획의 대상을 굴삭로봇과 토사로 구분하였으며, 글로벌 영역에서 단위작업 영역, 로컬 영역으로의 분할을 통해 전체 작업 진행에 대해 효율적으로 작업계획을 수립할 수 있도록 구성하여 계획단계에서부터 토공작업 자동화 및 효율와에 기여하고자한다. 토공작업계획 시스템은 토공 작업자 및 감독자의 작업 특성 및 노하우를 컴퓨터, 즉 두뇌에 부여함으로써 숙련된 장비조종자의 작업 방법 및 특성을 반영하여 토공 작업 프로세스 모델링을 구축하고 실제 작업환경상의 센서에 의해 측정된 데이터를 실제 작업환경과 동일하게 모델링된 컴퓨터내의 가상환경을 바탕으로 영역분할, 최적 플랫폼 위치선정 및 작업 순차생성을 통해 최적의 토공작업계획을 수립할 수 있도록 한다.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.151-155
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• 1996

To automate an excavator the control issues resulting from environmental uncertainties must be solved. In particular the interactions between the excavation tool and the excavation environment are dynamic, unstructured and complex. In addition, operating modes of an excavator depend on working conditions, which makes it difficult to derive the exact mathematical model of excavator. Even after the exact mathematical model is established, it is difficult to design of a controller because the system equations are highly nonlinear and the state variable are coupled. The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbance and performance improvement with the on-line learning in the position control of excavator attachment.

• Korean Journal of Construction Engineering and Management
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• v.10 no.2
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• pp.145-154
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• 2009

For developing an Automation equipment in construction, it is a key issue to develop 3D modeling technology which can be used for automatically recognizing environmental objects. Recently, for the development of "Intelligent Excavating System(IES), a research developing the real-time 3D terrain modeling technology has been implemented from 2006 in Korea and a stereo vision system is selected as the optimum technology. However, as a result of performance tests implemented in various earth moving environment, the 3D images obtained by stereo vision included considerable noise. Therefore, in this study, for getting rid of the noise which is necessarily generated in stereo image matching, the noise elimination algorithm of stereo-vision images for 3D terrain modeling was developed. The consequence of this study is expected to be applicable in developing an automation equipments which are used in field environment.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.4
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• pp.397-403
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• 2015

This paper proposes the development of a method for assessing the system reliability of an unmanned control robot system for an excavator. It then shows the results of the reliability qualification test based on the proposed method. The robot system functions to ensure the safety of the workers who control excavators in dangerous working environments, and the system reliability was calculated by integrating the reliabilities of the system components. Thus, test equipment for the three key units of the robot system were constructed and used in accelerated life testing. From the life testing results, guaranteed mean time between failures for the chosen confidence level was estimated, and the reliability qualification testing method of the robot system using small sample sizes was proposed.

• Journal of Ocean Engineering and Technology
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• v.29 no.6
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• pp.470-474
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• 2015

The demand for subsea cables and pipelines that transfer marine energy resources onshore has recently increased. Laying these underground after trenching is one engineering method to stabilize exposed subsea cables and pipelines. This experimental study found the optimum conditions for operating two types of waterjet arms mounted on an ROV trencher. A waterjet arm for trenching the seabed was scaled down at a ratio of 1:6, and a comparative analysis was conducted using diverse parameters. The results of this research provide a practical fundamental database to assist in making decisions about the ROV trencher performance in advance.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.1183-1187
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• 1993

The objective of this study is to design a fuzzy logic controller(FLC) which controls the position of excavator's attachment a noble FLC is proposed, which is based on simple control rules while offering easy tuning of control parameters by utilizing real operation characteristics of an operator. The proposed FLC consists of two parts, the proportional controller part and the FLC part. Experiments are carried out on a test bed which is built around a commercial excavator. The controller is applied to bhe leveling of excavator's bucket tip, which is one of the main functions in an excavator's operation.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.675-680
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• 1990

According to the recent increase of demands for multi-function and economics on hydraulic excavator, it is required that excavator should have simple operation, higher and operational efficiency. However, it is difficulty for current hydraulic system to satisfy demands fully. This study shows that new control system improves power transmission efficiency, work capability of engine and hydraulic system of current excavator.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.761-762
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• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1107-1108
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.569-570
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• 2009