• Title/Summary/Keyword: V-Factory system

Search Result 26, Processing Time 0.027 seconds

The development of automated control system for the growth of shaped sapphire crystals: combined control

  • Borodin, A.V.;Borodin, V.A.;Petkov, I.S.;Sidorov, V.V.
    • Journal of the Korean Crystal Growth and Crystal Technology
    • /
    • v.9 no.4
    • /
    • pp.437-440
    • /
    • 1999
  • New method of control based upon a physical model of the Stepanov growth technique has been developed. The controller keeps the system stable and completely denies operator's interference into the process. The system demonstrates very reliable results under commercial production of shaped sapphire crystals.

  • PDF

Development of the Educational V-Factory system combining Virtual Reality (가상현실을 접목한 교육용 V-Factory 시스템 개발)

  • Seo, Kyeong-Jun;Yun, Jung-Ho;Nam, Ki-Seon;Kim, Sung-Gaun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.4
    • /
    • pp.617-622
    • /
    • 2018
  • In industries such as automobiles and semiconductors, a lot of components are produced using PLCs based on an automatic production system. Therefore, an educational platform is needed to provide training in the use of PLCs in the industrial sites. Conventional educational systems, in which PLCs are employed to control sensors and actuators, have been continuously developed. However, these systems present their circuits only in 2D on the screen, which makes it difficult to understand them during the learning process. To overcome these disadvantages, we propose an educational V-Factory system capable of providing PLC training using virtual reality. In addition, thousands of sensors and actuators can be controlled by the V-Factory system through the proposed virtual I/O driver. The motion of the automatic production system can be visualized using virtual reality.

THE DEVELOPMENT OF AUTOMATED CONTROL SYSTEM FOR THE GROWTH OF SHAPED SAPPHIRE CRYSTALS: COMBINED CONTROL

  • Borodin, A.V.;Borodin, V.A.;Petkov, I.S.;Sidorov, V.V.
    • Proceedings of the Korea Association of Crystal Growth Conference
    • /
    • 1999.06a
    • /
    • pp.361-369
    • /
    • 1999
  • New method of control based upon a physical model of the Stepanov growth technique has been developed. The controller keeps the system stable and completely denies operator's interference into the process. The system demonstrates very reliable results under commercial production of shaped sapphire crystals.

  • PDF

Characteristics Analysis of Sustainable Manufacturing System and V&V Strategy (지속가능생산시스템의 특성 분석 및 V&V 전략)

  • Yoon, SooCheol;Suh, Suk-Hwan
    • Journal of the Korean Society of Systems Engineering
    • /
    • v.10 no.2
    • /
    • pp.51-58
    • /
    • 2014
  • Manufacturing industry is one of the core sectors providing national competitiveness and economical impact Today's manufacturing industry is required to fulfill so called Sustainable Factory paradigm from the perspectives of environmental and social development. To cope with the requirements, researches for achieving sustainability in manufacturing system are actively carried out in the world from various perspectives. In this paper, we analyzed systemic characteristics of sustainable manufacturing system, and developed verification & validation strategy based on traceability between system requirement and functionality. The developed methods were applied to a European Project called the Foundation for the Sustainable Factory of the Future (FoFdation). Specifically, we analyzed and verified the deliverables of FoFdation by deriving systems architecture in terms of Component, Function, and Items. The results indicated that the FoFdation is pretty much compliant with the concept of Ubiquitous Factory, and can be used as an International Reference Model for the Smart Factoy, a world wide hot topic under the paradigm of IOT (Internet-Of-Things), if information processing part is supplemented.

Virtual Manufacturing for an Automotive Company(V) - Parametric Modeling of the Digital General Assembly Shop using Object-Oriented Methods (자동차 가상생산 기술 적용(V) - 객체지향 방법에 의한 디지털 조립공장의 파라메트릭 모델링)

  • Park, Tae-Keun;Kim, Gun-Yeon;Noh, Sang-Do;Park, Young-Jin
    • IE interfaces
    • /
    • v.18 no.1
    • /
    • pp.94-103
    • /
    • 2005
  • Digital Manufacturing is a technology to facilitate effective product developments and agile productions by digital environments representing the physical and logical schema and the behavior of real manufacturing system including manufacturing resources, processes and products. A digital factory as a well-designed and integrated environment is essential for successful applications of this technology. In this research, we constructed a sophisticated digital factory of an automotive company’ general assembly shop by measuring and 3-D CAD modeling using parametric methods. Specific parameters of each objects were decided by object-oriented schema of the general assembly shop. It is expected that this method is very useful for constructions of a digital factory, and helps to manage diverse information and re-use 3D models.

Effects of Nutrient Solution Application Methods and Rhizospheric Ventilation on Vegetative Growth of Young Moth Orchids without a Potting Medium in a Closed-Type Plant Factory

  • Min, Sang Yoon;Oh, Wook
    • Journal of People, Plants, and Environment
    • /
    • v.23 no.5
    • /
    • pp.545-554
    • /
    • 2020
  • Background and objective: Moth orchids in the vegetative stage are suitable for a multi-layer growing environment in a closed-type plant factory which can be a good alternative that can reduce production costs by reducing cultivation time and energy cost per plant. This study was conducted to find out the optimal rhizospheric environment for different irrigation methods without a potting medium and rhizospheric ventilation for the vegetative growth of young Phalaenopsis hybrid 'Blanc Rouge' (P. KV600 × P. Kang 1) and Phalaenopsis Queen Beer 'Mantefon' in a closed-type plant factory system. Methods: The one-month-old clonal micropropagules with bare roots rapped with a sponges were fixed on the holes of styrofoam plates above growth beds, and were watered using the ebb-and-flow (EBB) and aeroponic (AER) methods with Ichihashi solution (0.5 strength) once a day at 06:00 (P) or 18:00 (S), and both (PS). Rhizospheric ventilation (V) was also applied to change the temperature, relative humidity, and CO2 concentration of the beds. Plants potted into sphagnum moss and watered once a week were used as the control group. Results: After 12 months of treatment, the growth characteristics of the EBB groups were the best among the treatment groups without a medium, but no effect of irrigation timing was observed. V reduced the temperature, relative humidity and CO2 concentration of the beds. Whereas, EBB+V (ebb-and-flow with ventilation) improved plant growth and reduced the occurrence of disorders and withering. Especially, EBB+V showed a similar performance to the control group. Conclusion: The results indicated that the optimal irrigation method without a potting medium for producing middle-aged potted moth orchids was the EBB system with forced rhizospheric ventilation. Therefore, further studies on the optimal ventilation method and moisture control of the crown need to be carried out to develop the irrigation system without a potting medium for vertical farming in closed-type plant factories.

An adoption of the HFPD measuring system using directional coupler sensors to XLPE cable & accessories (방향성센서를 이용한 고주파 부분방전 측정시스템의 XLPE 케이블 및 접속함 적용)

  • Yu, In-Kee;Kim, Ki-Young;Jeong, Young-Woo
    • Proceedings of the KIEE Conference
    • /
    • 2002.07c
    • /
    • pp.1674-1676
    • /
    • 2002
  • In this paper, High Frequency PD measuring system using directional coupler sensors(DCS) is introduced. Especially the principles of the DCS and characteristics of the system are introduced. Evaluation of this system was carried by an adoption to the test circuit of 345kV XLPE $2000mm^2$ cable and EB-A, EB-G, PIJ, PNJ. In the test a PD measurement was carried out without shieldroom and under the on-line state and in the high frequency range at the remote site from the test object. The test result was satisfactory and this is due to the use of DCS and using a high frequency range and specific filter for radio and TV signal and low pass. This system can be used to the test of a new construction of cable and accessories and measuring of long-term deterioration of cable and accessories. And this will bring us the reliability of a power transmission.

  • PDF

Chemical Properties of Indoor Individual Particles Collected at the Daily Behavior Spaces of a Factory Worker

  • Ma, Chang-Jin;Kang, Gong-Unn;Sakai, Takuro
    • Asian Journal of Atmospheric Environment
    • /
    • v.11 no.2
    • /
    • pp.122-130
    • /
    • 2017
  • The main purpose of the study was to clarify the properties of individual particles collected at each behavior space of a factory worker. The samplings of size-segregated ($PM_{2.1-1.1}$ and $PM_{4.7-3.3}$) indoor particles were conducted at three different behavior spaces of a factory worker who is engaged in an auto parts manufacturing plant (i.e., his home, his work place in factory, and his favorite restaurant). Elemental specification (i.e., relative elemental content and distribution in and/or on individual particles) was performed by a micro-PIXE system. Every element detected from the coarse particulate matters of home was classified into three groups, i.e., a group of high net-counts (Na, Al, and Si), a group of intermediate net-counts (Mg, S, Cl, K, and Ca), and a group of minor trace elements (P, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, and Pb). The results of EF for $PM_{4.7-3.3}$ in home indicated that several heavy metals were generated from the sources within the house itself. An exceptional feature shown in the individual particles in workplace is that Cr, Mn, and Co were clearly detected in both fine and coarse particles. Cluster analysis suggested that the individual coarse particles ($PM_{4.7-3.3}$) collected at the indoor of factory were chemically heterogeneous and they modified with sea-salt, mineral, and artificially derived elements. The principal components in individual coarse particles collected at restaurant were sea-salt and mineral without mixing with harmful trace elements like chromium and manganese. Compared to the indoor fine particles of home and restaurant, many elements, especially, Cl, Na, Cr, Mn, Pb, and Zn showed overwhelmingly high net-counts in those of factory.

Virtual FMS Architecture for FMS Prototyping

  • Park, Byoungkyu;Park, Beumchul;Donghwan Hwang
    • Proceedings of the Korea Society for Simulation Conference
    • /
    • 2000.11a
    • /
    • pp.174-179
    • /
    • 2000
  • Proposed in the paper is a V-FMS (Virtual Flexible Manufacturing System) model to be used as a prototyping tool for FMS design. The proposed V-FMS framework follows an object-oriented modeling (OOM) paradigm and is based on a set of user requirements for FMS prototyping. The V-FMS model consists of four types of object: virtual device, transfer handler, state manager and flow controller. A virtual device model, which corresponds to a static model in OOM, consists of two parts, shell and core, for reusability. A transfer handler corresponds to a functional model of OOM and it stores low level device commands required to perform job flow operations between giving and taking devices. The state manager and the flow controller constitute a dynamic model of OOM. The proposed V-FMS model has been implemented for a couple of linear type FMS-lines

  • PDF

Development of surface detection model for dried semi-finished product of Kimbukak using deep learning (딥러닝 기반 김부각 건조 반제품 표면 검출 모델 개발)

  • Tae Hyong Kim;Ki Hyun Kwon;Ah-Na Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.17 no.4
    • /
    • pp.205-212
    • /
    • 2024
  • This study developed a deep learning model that distinguishes the front (with garnish) and the back (without garnish) surface of the dried semi-finished product (dried bukak) for screening operation before transfter the dried bukak to oil heater using robot's vacuum gripper. For deep learning model training and verification, RGB images for the front and back surfaces of 400 dry bukak that treated by data preproccessing were obtained. YOLO-v5 was used as a base structure of deep learning model. The area, surface information labeling, and data augmentation techniques were applied from the acquired image. Parameters including mAP, mIoU, accumulation, recall, decision, and F1-score were selected to evaluate the performance of the developed YOLO-v5 deep learning model-based surface detection model. The mAP and mIoU on the front surface were 0.98 and 0.96, respectively, and on the back surface, they were 1.00 and 0.95, respectively. The results of binary classification for the two front and back classes were average 98.5%, recall 98.3%, decision 98.6%, and F1-score 98.4%. As a result, the developed model can classify the surface information of the dried bukak using RGB images, and it can be used to develop a robot-automated system for the surface detection process of the dried bukak before deep frying.