• Korean Journal of Computational Design and Engineering
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• v.20 no.4
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• pp.420-430
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• 2015

Operator Training Simulators (OTSs) provide macroscopic training environment for plant operation. They are equipped with simulation systems for the emulation of remote monitoring and controlling operations. OTSs typically provide 2D block diagram-based graphic user interface (GUI) and connect to process simulation tools. However, process modeling for OTSs is a difficult task. Furthermore, conventional OTSs do not provide real plant field information since they are based on 2D human machine interface (HMI). In order to overcome the limitation of OTSs, we propose a new type of plant training system. This system has the capability required for collaborative training between operators and field workers. In addition, the system provides 3D virtual training environment such that field workers feel like they are in real plant site. For this, we designed system architecture and developed essential functions for the system. For the verification of the proposed system design, we implemented a prototype training system and performed experiments of collaborative training between one operator and two field workers with the prototype system.

• Journal of the Korean Institute of Gas
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• v.23 no.5
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• pp.44-51
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• 2019

The system components and implementation methods to be considered when constructing a system for plant safety training in a virtual environment were classified according to plant characteristics. When constructing a safety training system based on VR, the necessary components may be different according to the characteristics of the plant, and the basic system components to be built according to the target plant are presented. In order to support the proposed system, we implemented a city gas governor safety training system, which is a relatively simple facility. Through this, we propose guidelines for the construction of a suitable VR-based plant safety training system in the plant to be applied.

• Journal of the Korean Institute of Gas
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• v.21 no.1
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• pp.34-42
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• 2017

We developed the safety training methods which improve the current methods by overcoming the single scenario-based one-way communication between trainee and training system. We improved the design and implementation of the safety training scenarios, which is one of the most important components of the plant safety training system for safe operation of the city gas governor. The diversity and training effects of the training scenarios can be improved by interactive training between the plant safety training system and operators. The interactive training methods were developed based on Finite State Machine model which is applicable to and based on plant safety training platform. We could see the possibility of applying this method of safety training scenario system to other domain of plant safety training system.

• Journal of the Korean Institute of Gas
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• v.23 no.2
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• pp.55-60
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• 2019

To develop a plant safety training system using virtual reality technology, we constructed a training system for a large scale plant. Compared with safety training for small plants or unit equipment, many system configurations such as virtual plant model, in-process data processing, work instruction, etc. are required and integrated system works have been carried out. The target plant, RDS process, is a high-risk process(high-temperature, high-pressure) that takes into account the training scenarios that can be taken in the event of a leaking fire in the range and refer to the actual shutdown procedure. The proposed safety training integration system can be used in similar situations that can occur in the RDS process and can be a platform for safety training using virtual reality in a large plant.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.1
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• pp.28-35
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• 2018

Front End Engineering Design (FEED), currently dominated by a few advanced countries, creates the highest added-value in the in plant construction industry. In the domestic plant engineering industry, it is difficult to acquire its own technology capability and experience due to lack of experience and shortage of experts in advanced design fields such as basic design and FEED. To achieve competitiveness with the advanced countries, it is necessary to establish smart training system for advanced plant design and FEED engineers. This study aims to design an integrated training framework for plant engineering and FEED using system engineering to build a smart plant engineering education system that learns design knowledge based on educational content and experience based on design stage for chemical plant.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.179-182
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• 1997

In a training simulator for power plant, operator's action in the MCR(Main Control Room) are given to plant process and computer system model as an inputs, and the same response as in real power plant is provided in real time. Inter-process communication and synchronization are especially important among various inputs. In the plant simulator, to simulate the digital control system such as FOXBORO SPEC-200 Micro control system, modification and adaptation of control card(CCC) and its continuous display station(CDS) is necessary. This paper describes the modeling and simulation of FOXBORO SPEC-200 Micro control system applied to Younggwang nuclear power plant unit #3 & 4, and its integration process to the full-scope replica type training simulator. In a simulator, display station like CDS of FOXBORO SPEC-200 Micro control system is classified as ITI(Intelligent Type Instrument), which has a micro processor inside to process information and the corresponding alphanumeric display, and the stimulation of ITI limits the important functions in a training simulator such as backtrack, replay, freeze and IC reset. Therefore, to achieve the better performance of the simulator, modification of CDS and special firmware is developed to simulate the FOXBORO SPEC-200 Micro control system. Each control function inside control card is modeled and simulated in generic approach to accept the plant data and control parameter conveniently, and debugging algorithms are applied for massive coding developed in short period.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1392-1394
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• 2003

This paper presents the actual test data of 3 phase, 9 pole, 3.6 [kw] synchronized wind-power generator controlled by hinged vane system and the possibilities of the small mount wind-power generations at the south-east coast of Ul-san. It also shows the data of the wind-velocity acquired by wind-direction sensor, calculation and analysis of the estimated electrical generation power, energy storage systems, and the efficient usages of the wind-power system.

• Journal of the Ergonomics Society of Korea
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• v.32 no.1
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• pp.107-115
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• 2013

Objective: The aim of this study is to identify the training requirements of new nuclear power plant by a comprehensive literature review. Background: The design of instrumental and control systems for New NPP is applied fully digitalized systems. For example, soft-control, large display panels(LDP), and an advanced alarm system were applied to the APR-1400 or SMART. Method: The NUREG-0711 and international guideline of training program was analyzed from the following four phases of SAT(Systemic Approach to Training): Analysis, Design, Development, Implementation and Evaluation. Results: To identify the requirement of training program, 'Feedback' phase was considered and each phase of SAT was classified. Conclusion: A more systematic requirement of training program is needed which considers the computerized system was applied to the new NPP. Application: The results of the publishing can be useful for standardization of the systematic training program for the operators of NPP.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.4
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• pp.551-560
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• 1998

This paper presents a neural network model representing complex hydro-thermo-dynamic characteristics of a steam generator in nuclear power plants. The key modeling processes include training data gathering process, analysis of system dynamics and determining of the neural network structure, training process, and the final process for validation of the trained model. In this paper, we suggest a training data gathering method from an unstable steam generator so that the data sufficiently represent the dynamic characteristics of the plant over a wide operating range. In addition, we define the inputs and outputs of neural network model by analyzing the system dimension, relative degree, and inputs/outputs of the plant. Several types of neural networks are applied to the modeling and training process. The trained networks are verified by using a class of test data, and their performances are discussed.

• Current Research on Agriculture and Life Sciences
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• v.14
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• pp.61-65
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• 1996

This study was carried out to determine the effect of fruit-set position and number of fruit set per plant on yield and quality including netting in "Super VIP" melon cultivated in spring season. 1) In training system of one fruit per plant, index of netting was acceptable, regardless of the node position of fruit-set. The higher node order of fruit set was, the heavier, longer, bigger in diameter the fruit set was, and the thicker the flesh was. However, soluble suger content and storability was decreased with increased node order. 2) In training system of two fruit per plant, the higher the fruit-set position in node order was, the better the netting index, fruit quality including fruit weight, length, diameter, and thickness of flesh were, but there was no difference in storability. 3) Fruits produced by one-fruit-per-plant training were superior to those produced by two-fruit-per-plant training in maker quality including netting, sugar content, stcrability. The fruit set on 12th node in one-fruit-per-plant training were the best in market quality. 4) Yield was increased by two-fruit-per-plant training.