• Title/Summary/Keyword: industrial networks

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Identification of primary input parameters affecting evacuation in ventilated main control room through CFAST simulations and application of a machine learning algorithm to replace CFAST model

  • Sumit Kumar Singh;Jinsoo Bae;Yu Zhang;Saerin Lim;Jongkook Heo;Seoung Bum Kim;Weon Gyu Shin
    • Nuclear Engineering and Technology
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    • v.56 no.9
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    • pp.3717-3729
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    • 2024

  • Accurately predicting evacuation time in a ventilated main control room (MCR) during fire emergencies is crucial for ensuring the safety of personnel at nuclear power plants. This study proposes to use neural networks alongside consolidated fire and smoke transport (CFAST) simulations to serve as a surrogate model for physics-based simulation tools. Our neural networks can promptly predict the evacuation time in MCRs, proving to be a valuable asset in fire emergencies and eliminating the need for time-consuming rollouts of the CFAST simulations. The CFAST model simulates fire and evacuation scenarios in a ventilated MCR with variations in input parameters such as door conditions, ventilation flow rate, leakage area, and fire propagation time. Target output parameters, such as hot gas layer temperature (HGLT), heat flux (HF), and optical density (OD), are used alongside standardized evacuation variables to train a machine learning model for predicting evacuation time. The findings suggest that high ventilation flow rates help to dilute smoke and discharge hot gas, leading to lower target output parameters and quicker evacuation. Standardized evacuation variables exceed the required abandonment criteria for all door conditions, indicating the importance of proper evacuation procedures. The results show that neural networks can generate evacuation times close to those obtained from CFAST simulations.

  • https://doi.org/10.1016/j.net.2024.04.020 인용 PDF

Evaluation of Risk Factors to Detect Anomaly in Water Supply Networks Based on the PROMETHEE and ANP (상수도관망의 이상징후 판정을 위한 위험요소 평가 - PROMETHEE와 ANP 기법 중심으로)

  • Hong, Sung-Jun;Lee, Yong-Dae;Kim, Sheung-Kown;Kim, Joong-Hoon
    • Journal of Korea Water Resources Association
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    • v.39 no.1 s.162
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    • pp.35-46
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    • 2006

  • In this study, we proposed a layout of the integrated decision support system in order to prevent the contamination and to manage risk in water supply networks for safe and smooth water supply. We evaluated the priority of risk factors to detect anomaly in water supply networks using PROMETHEE and ANP techniques, which are applied to various Multi-Criteria Decision Making area in Europe and America. To develop the model, we selected pH, residual chlorine concentration, discharge, hydraulic pressure, electrical conductivity, turbidity, block leakage and water temperature as the key data item. We also chose pipe corrosion, pipe burst and water pollution in pipe as the criteria and then we present the results of PROMETHEE and ANP analysis. The evaluation results of the priority of risk factors in water supply networks will provide basic data to establish a contingency plan for accidents so that we can establish the specific emergency response procedures.

  • https://doi.org/10.3741/JKWRA.2006.39.1.035 인용 PDF KSCI

A Design of Dynamic Simulator of Articulated Robot (다관절 로봇의 동적 시뮬레이터 설계)

  • Park, In-Man;Jung, Seong-Won
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.2
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    • pp.75-81
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    • 2015

  • This study proposes an articulated robot control system using an on/off-line robot graphic simulator with multiple networks. The proposed robot control system consists of a robot simulator using OpenGL, a robot controller based on a DSP(TMS320) motion board, and the server/client communication by multiple networks. Each client can control the real robot through a server and can compare the real robot motion with the virtual robot motion in the simulation. Also, all clients can check and analyze the robot motion simultaneously through the motion image and data of the real robot. In order to show the validity of the presented system, we present an experimental result for a 6-axis vertical articulated robot. The proposed robot control system is useful, especially, in the industrial fields using remote robot control as well as industrial production automation with many clients.

  • https://doi.org/10.21289/KSIC.2015.18.2.075 인용 PDF

Tabu Search Heuristic Algorithm for Designing Broadband Convergence Networks (BcN 서비스 가입자 망 설계를 위한 타부서치 휴리스틱 알고리즘 개발)

  • Lee, Youngho;Yun, Hyunjung;Lee, Sunsuk;Park, Noik
    • Journal of Korean Institute of Industrial Engineers
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    • v.34 no.2
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    • pp.205-215
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    • 2008

  • convergence networks (BcN). The problem seeks to minimize the total cost of switch and cable while satisfying the requirement of demand and quality of service (QoS). We develop mixed integer programming models to obtain the optimal switch location of the access network. We develop a Tabu Search (TS) heuristic algorithm for finding a good feasible solution within a reasonable time limit. We propose real networks with up to 25 nodes and 180 demands. In order to demonstrate the effectiveness of the proposed algorithm, we generate lower bounds from nonlinear QoS relaxation problem. Computational results show that the proposed heuristic algorithm provides upper bounds within 5% optimality gap in 10 seconds.

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