• Korean Journal of Computational Design and Engineering
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• v.20 no.4
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• pp.401-411
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• 2015

Cybrid virtual plant concept is defined as a cyber plant mimicking a physical plant by using plant engineering data and sensor data coming from sensors attached to facilities of the physical plant. Cybrid virtual plant is a new concept for plant industry so that plant managers and operators' requirements need to be captured for systematic application of the concept to the plant industry. The paper proposed an architecture of the cybrid virtual plant, and provided requirement analysis results for a specific plant company. A database, named smart-cube repository, for the proposed cybrid virtual plant is also proposed and its conceptual data structure is described.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.1065-1066
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• 2015

화학공장, 플랜트 등 대형 기계설비 내에서 발생하는 각종 사고에 대한 대응훈련은 훈련시간 및 비용 증가, 훈련자의 안전 확보가 어렵고 반복적인 훈련 및 평가가 어렵기 때문에 실제 사고상황을 가상공간 내에 구현한 가상현실 기반 훈련 시뮬레이터의 필요성이 증대되고 있다. 본 논문에서는 시뮬레이터 훈련자 평가를 위하여 동작분석 기반 훈련자 평가 모듈을 개발하고 훈련평가에 활용하기 위하여 모션캡쳐 장비를 활용한 훈련 표준동적 DB를 구축하였다. 훈련자의 특정 동작을 구축된 DB를 활용하여 표준동작과의 비교를 통하여 효율적인 훈련을 위한 피드백과 함께 정량화된 평가점수 제공을 통해 정량적인 훈련평가에 활용할 수 있다. 또한 평가 결과의 시각화를 통해 직관적인 훈련개선이 가능하도록 하였다.

• Journal of the Korean Institute of Gas
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• v.21 no.6
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• pp.46-51
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• 2017

The system was constructed so that safety training of the region city gas governor could be carried out using virtual reality. This system was used to survey the general public and it was found that the operation controller has a great influence on the user in the training system. The same survey question was conducted to construct the safety training system of city gas governor using joystick and oculus touch. The results of these two surveys confirm the importance of the operation controller in the safety training system using virtual reality.

• Journal of the Korean Institute of Gas
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• v.21 no.5
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• pp.89-94
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• 2017

The VR(Virtuality Reality) technology provides very close experience to reality by stimulating humans' external recognition with artificial technologies. In order to overcome the limitation of real-environment training, VR is being applied in industry field as a key technology to prevent safety accident and its control procedure training. However, it is difficult to build VR-based training system because 3D modeling and software coding are necessary for materialization of VR environment demands of many development resource. In this research referring to VR based training content implementation, a method to utilizing VRDC(VR-based Dynamic visualization Component) is suggested and by applying it to plant safety training system, it was confirmed its practicality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.617-622
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• 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.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.5
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• pp.788-796
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• 2001

VR(Virtual reality) technologies have given engineers the ability to design, test, and evaluate engineering systems in a virtual environment. The virtual plant is the highlight of the application of the VR technology to plant engineering. Plant design, maintenance, control, management, operation are integrated in the virtual plant. The VR monitoring system including the concept of the virtual plant is developed to replace a current control room that has number of gages and warning lamps in two-dimensional panels which shows the operating status of a plant. The operating status of the plant is displayed in the VR monitoring system through the realistic computer graphics. Sophisticated, realistic and prompt control becomes possible. The VR monitoring system consists of advanced visualization, walk-through simulation and navigation. In the virtual environment, a user can navigate and interact with each component of a plant. In addition, the user can access the information by just clicking interesting component. The VR monitoring system is operated with various modules, such as (1) virtual plant constructed with Graphic Management System (GMS), (2) Touch & Tell System, and (3) Equipment DB System of Part. In order to confirm the usefulness of the VR monitoring system, a pilot gas plant which is currently being used for plant operator training is taken as application. The end of the paper gives an outlook on the future work and a brief conclusion.

• Journal of KIISE
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• v.42 no.7
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• pp.840-845
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• 2015

In recent years, Big Data has been a topic of great interest for the production and operation work of offshore plants as well as for enterprise resource planning. The ability to predict future equipment performance based on historical results can be useful to shuttling assets to more productive areas. Specifically, a centrifugal compressor is one of the major piece of equipment in offshore plants. This machinery is very dangerous because it can explode due to failure, so it is necessary to monitor its performance in real time. In this paper, we present stream data processing architecture that can be used to compute the performance of the centrifugal compressor. Our system consists of two major components: a virtual tag stream generator and a real-time data stream manager. In order to provide scalability for our system, we exploit a parallel programming approach to use multi-core CPUs to process the massive amount of stream data. In addition, we provide experimental evidence that demonstrates improvements in the stream data processing for the centrifugal compressor.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.22-30
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• 2022

In order to prevent chemical accidents caused by human error, a chemical accident prevention and response training program using advanced technology was developed. After designing a virtual process based on the previously built pilot plant, chemical accident response contents were developed. A part of the pilot facility was remodeled for content realization and a remote control function was given. In addition, a DCS program that can control facilities in a virtual environment was developed, and chemical process operator training (OTS) that can finally respond to virtual chemical accidents was developed in conjunction with AR. Through this, trainees can build driving skills by directly operating the device, and by responding to virtual chemical accidents, they can develop emergency response capabilities. If the next-generation OTS like this study is widely distributed in the chemical industry, it is expected to greatly contribute to the prevention of chemical accidents caused by human error.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.935-940
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• 2023

Digital-twin technology is emerging as an innovative solution for all industries, including manufacturing and production lines. Therefore, this paper optimizes all the energy used in a biomass plant based on unused resources. We will then implement a digital-twin prototype for biomass plants and evaluate its performance in order to improve the efficiency of plant operations. The proposed digital-twin prototype applies a standard communication platform between the framework and the gateway and is implemented to enable real-time collaboration. and, define the message sequence between the client server and the gateway. Therefore, an interface is implemented to enable communication with the host server. In order to verify the performance of the proposed prototype, we set up a virtual environment to collect data from the server and perform a data collection evaluation. As a result, it was confirmed that the proposed framework can contribute to energy optimization and improvement of operational efficiency when applied to biomass plants.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.13-16
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• 2011

에너지플랜트는 위험성이 높은 유해화학물질을 취급해서 누출사고가 발생 할 가능성이 높다. 유해화학물질이 누출되어 대기 중에 확산되면 강한 유독성으로 인해 대형피해를 불러온다. 유해화학물질의 누출로 인한 대기 중의 확산피해 최소화하는 방안에는 확산 될 범위를 산출하여 적절한 사고대응조치를 취하는 것이다. 대기확산모델의 시뮬레이션을 이용한 대기확산범위 산출은 가상으로 설정 된 시나리오의 데이터를 사용자가 수동으로 입력하여 결과를 도출한다. 가상 데이터로 산출 된 결과는 정확성이 결여 될 수 있으며 실시간 대기확산범위 산출이 불가능하다. 본 연구에서는 유해화학물질의 대기확산범위를 즉각적으로 산출 할 수 있는 실시간 대기확산시스템을 설계하고 구현한다. 대기확산범위 산출에 필요한 데이터는 실시간으로 수집 된 실제 데이터를 이용한다. 실시간으로 수집된 실 데이터를 토대로 데이터마이닝기법을 통해 자율적인 누출사고를 탐지하고 누출지점을 특정 할 수 있는 지능화모듈을 설계한다. 대기확산모델은 유해화학물질의 증기운의 무게에 따라 가우시안과 SLAB모델을 이용한다. 실시간으로 산출 된 대기확산범위는 ERPG의 각 단계의 농도 기준에 근거하여 총 3단계로 구분해서 GIS맵 상의 유저인터페이스에 표현한다. 산출된 대기확산피해범위는 현장 작업자의 모바일기기로 사고와 관련 된 대응조치와 함께 신속히 전파할 수 있도록 구현해서 누출로 인한 유해화학물질의 확산사고피해 최소화를 도모한다.