• Title/Summary/Keyword: 무인 크레인 시스템

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Extracting Image Information of the unmanned-crane automation system Using an Integrated Vision System (통합 비전 시스템을 이용한 무인 크레인 영상 정보 추출)

  • Lee, Ji-Hyun;Kim, Moo-Hyun;Park, Mu-Hun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.3
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    • pp.545-550
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    • 2011
  • This paper introduces an Integrated Vision System that enables us to detect the image of slabs and coils and get the complete three dimensional location data without any other obstacles in the field of unmanned-crane automation system. Existing vision system research tends to be easily influenced by the environment of the work place and therefore cannot give the exact location information. To overcome these weaknesses, this paper suggests laser scanners should be combined with a CCD camera named Integrated Vision System. The suggested system is expected to help improve the unmanned-crane automation system.

A Study on Development ATCS of Transfer Crane using Neural Network Predictive Control (신경회로망 예측제어에 의한 Transfer Crane의 ATCS 개발에 관한 연구)

  • 손동섭;이진우;이영진;이권순
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2002.11a
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    • pp.113-119
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    • 2002
  • Recently, an automatic crane control system is required with high speed and rapid transportation. During the operation of crane system in container yard it is necessary to control the crane trolley position and loop length so that the swing of the hanging container is minimized We can do development of unmanned automation control system using automation travel control technique and anti-sway technique in crane system. Therefore, we designed a controller for Automation travel control to control the transfer crane system. Analyzed crane system through simulation, and proved excellency of control performance than other conventional controllers.

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Development of Intergrated Vision System for Unmanned-Crane Automation System (무인 크레인 자동화 시스템 구축을 위한 통합 비전 시스템 개발)

  • Lee, Ji-Hyun;Kim, Mu-Hyun;Park, Mu-Hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.259-263
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    • 2010
  • This paper introduces an integrated vision system that enables us to detect the image of Slabs and Coils and get the complete three dimensional location data without any other obstacles in the field of unmanned-crane automation system. Existing researches with laser scanner tend to be easily influenced by environment in the work place so they cannot give the exact location information. Also, CCD camera has some problems recognize the pattern because of intensity of illumination caused in the industrial setting. To overcome these two weaknesses, this thesis suggests laser scanner should be combined with CCD camera named integrated vision system. This system can draw more clear pictures and take the advanced 3D location information. The suggested system is expected to help build unmanned-crane automation system.

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무인선 회수를 위한 히빙라인 발사장치의 해상시험 연구 (1)

  • Kim, Yeon-Gyu;Kim, Seon-Yeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2017.11a
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    • pp.148-150
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    • 2017
  • 무인선은 사람이 탑승하지 않기 때문에 회수에 어려움이 있다. 본 연구에서는 무인선의 회수를 용이하도록 하기 위하여 히빙라인 발사장치를 개발하였고, 히빙라인 발사장치 이용에 대한 검증을 위하여 해상시험을 수행하였다. 무인선 회수 시스템은 히방리인 발사장치, 견인장치, 크레인-무인선 결합장치, 원격조종기로 구성되어 있고, 히빙라인 발사장치는 발사관, 원격 격발장치, 공기통, 견인탄과 히빙라인으로 구성되어 있으며, 히빙라인 발사장치는 원격조종기를 이용하여 모선에서 제어가 가능하다. 제작된 히빙라인 발사장치를 유인선에 설치하여 실제로 해상에서 사용이 가능한지 검토하였다. 히빙라인을 원격으로 발사하고 모선에서 크레인을 이용하여 무인선에 결합하는 해상시험을 수행하였으며, 해상시험을 통하여 히빙라인 발사장치의 유용성을 확인하였다.

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무인차량의 자율주행을 위한 영상기반 지형분류 연구 동향

  • Seong, Gi-Yeol;Yun, Ju-Hong;Yu, Jun
    • ICROS
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    • v.15 no.1
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    • pp.29-36
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    • 2009
  • 무인차량의 야지 자율주행에 있어서 지형 및 환경 인식기술은 다양한 지형/지물에 대한 인식, 분류 및 융합을 통하여 최종적인 자율주행 및 임무 목적용 인식 맴을 제작하기 위한 기술이다. 병렬기구는 조립, 포장, 기계가공, 크레인, 수중공학, 항공 및 해양구조, 비행 및 3D 시뮬레이션, 위성 접시안테나 위치제어, 망원경 자세제어, 그리고 정형외과 수술 등 여러 분야에 사용되고 있다.

A Development of Object Position Information Extraction Algorithm using Stereo Vision (스테레오 비전을 이용한 물체의 위치정보 추출 알고리즘 개발)

  • Kim, Moo-Hyun;Lee, Ji-Hyun;Lee, Seung-Kuy;Kim, Young-Hee;Park, Mu-Hun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.8
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    • pp.1767-1775
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    • 2010
  • As factory automation is getting popular, there has been a lot of research concerned with stereo vision systems as a part of an automation system with unmanned moving equipment. In the stereo vision system, information about an object could be gained by searching through images. Edges which are based on the information about an object are used to find the position of the object and send a message of its position coordinate to a unmanned crain. This thesis proposes an algorithm to find the center point of the object's surface which is connected to the unmanned crain's hookblock, and to recognize the shape of the object by using two CCD cameras. At first, getting information about the edges, and distinguishing each edge's characteristics depend on user's option, and then find the location information by a set of positions that are proposed. This thesis is expected to be devoted to the development of an automation system of unmanned moving equipment.

Implementation of Efficient Container Number Recognition System at Automatic Transfer Crane in Container Terminal Yard (항만 야드 자동화크레인(ATC)에서 효율적인 컨테이너번호 인식시스템 개발)

  • Hong, Dong-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.9
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    • pp.57-65
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    • 2010
  • This paper describes the method of efficient container number recognition in colored container image with number plate at ATC(Automatic Transfer Crane) in container terminal yard. At the Sinseondae terminal gate in Busan, the container number recognition system is installed by "intelligent port-logistics system technology development", that is government research and development project. It is the method that it sets up the tunnel structure inside camera on the gate and it recognizes the container number in order to recognize the export container cargo automatically. However, as the automation equipment is introduced to the container terminal and the unmanned of a task is gradually accomplished, the container number recognition system for the confirmation of the object of work is required at ATC in container terminal yard. Therefore, the container number recognition system fitted for it is necessary for ATC in container terminal yard in which there are many intrusive of the character recognition through image including a sunlight, rain, snow, shadow, and etc. unlike the gate. In this paper, hardware components of the camera, illumination, and sensor lamp were altered and software elements of an algorithm were changed. that is, the difference of the brightness of the surrounding environment, and etc. were regulated for recognize a container number. Through this, a shadow problem, and etc. that it is thickly below hung with the sunlight or the cargo equipment were solved and the recognition time was shortened and the recognition rate was raised.

A Study on the Development of an Center Point Extraction Algorithm of Object Using a Orthogonal Stereo Vision System (직교식 스테레오 비전을 이용한 물체의 중심점 추출 알고리즘 개발에 관한 연구)

  • Lee, Seung-Kyu;Kwak, Sung-Hwan;Lee, Seung-Jae;Kim, Young-Sik;Choi, Joong-Koung;Park, Mu-Hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.207-212
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    • 2008
  • 최근 공장 자동화가 보편화됨에 따라 무인 운반설비의 자동화 시스템 개발의 한 부분으로써 Stereo Vision 장치를 이용하여 입력된 영상의 에지(Edge)를 추출하고, 추출된 에지를 이용하여 물체의 위치적 특징을 찾고 무인크레인이 이동해야할 위치좌표를 전달한다. 본 연구에서는 실제 산업현장에 가장 보편적인 형상인 판재와 원통을 기준으로 CCD 카메라 2대를 이용하여 물체의 형상을 인식하고, 그 물체의 중심점을 찾는 알고리즘을 제안하였다. 우선 에지를 추출하고 사용자의 선택에 따라 추출된 에지의 특징을 판별하여 판재와 원통을 구분하여 원하는 물체의 위치정보를 찾아낸다. 본 연구는 무인 운반설비의 자동화 시스템 개발에 도움이 될 것으로 기대된다.

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A Development of Object Shape Recognition Module using Laser Sensor (레이저 센서를 이용한 물체의 형상인식 모듈 개발)

  • Kwak, Sung-Hwan;Lee, Seung-Kyu;Lee, Seung-Jae;Kim, Young-Sik;Choi, Joong-Koung;Park, Mu-Hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.215-221
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    • 2008
  • 무인 운반설비의 자동화 시스템 개발의 한 부분으로써 여러 Vision 센서 중 레이저 센서를 이용하여 작업공간상에 있는 판재류와 코일류의 경계부분을 인식한다. 다음으로 인식한 물체의 경계를 이용하여 3차원 공간상의 위치좌표를 추출하여 무인크레인에 이동해야할 위치좌표를 전달한다. 본 연구에서는, 첫 번째 레이저 센서를 이용한 물체의 경계 추출, 두 번째 레이저 센서의 z축 기울기 각 추출, 세 번째 인식한 경계를 이용하여 물체의 2차원 위치좌표 추출, 네 번째 레이저 센서를 이용하여 판재와 코일의 판별, 다섯 번째 물체 판별의 결과에 따른 판재와 코일의 3차원 위치좌표 추출을 목적으로 한다. 본 연구의 결과는 무인 운반설비의 자동화 시스템 개발에 상당한 도움이 될 것으로 기대된다.

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Development of Automatic Coil-Handling Crane Control System (크레인 무인 자동 운전 시스템 개발)

  • Choi Chintae;Shin K.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2004.08a
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    • pp.126-133
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    • 2004
  • Lots of researches and applications on the automated overhead cranes in shops have been done for some decades, but a few successful results are reported. Integrated crane control systems designed by famous engineering companies are still expensive and are not satisfactory in view of maintenance and reliability. A more reasonable control system fit to requirements of manufacturing industries is suggested in the study. The new deigned system has superior capabilities for anti-sway of rope and position control. The controller for automated operations is composed of a Linux-based PC for non real-time control and a high-speed PLC for hard real-time control. Some algorithms required for coil yard operations as well as main control algorithms such as reference position generation, position control and anti-sway control have been designed and fully tested on the new crane simulator. The designed crane control system showed satisfactory performance on position control accuracy and anti-sway of rope. The maximum positional error is 8mm and the maximum sway error is 0.1 degrees. The suggested control strategies have been successfully applied to the 10-1 crane in No. 4 CGL of in the Kwangyang Steel Works and in commercial operation.

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