• Title/Summary/Keyword: 철도관제

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An Investigation on Standardization of Urban Transit's Total Supervision System (도시철도 종합감시시스템의 표준화에 대한 고찰)

  • Baek, Jong-Hyen
    • Proceedings of the KAIS Fall Conference
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    • 2010.11a
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    • pp.123-126
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    • 2010
  • 도시철도 운영기관에서 사용되는 감시카메라 및 센서의 수는 운영기관마다 수천 개 이상에 이르고 있으며, 그 수는 지속적으로 증가하고 있다. 역사 시설뿐만 아니라 현재는 차량 내에도 카메라 및 센서를 설치하고 있거나 설치할 예정이다. 또한 도시철도의 안전에 대한 요구가 증대되면 될수록 이러한 안전설비는 증가할 수밖에 없다. 그러나 현재까지 이렇게 많은 곳에 설치된 카메라 및 센서들과 안전 설비를 효율적으로 관리할 수 있는 방안은 없다. 아직까지 폐쇄회로 텔레비전에 의존한 수동적인 감시체계에서 벗어나지 못하고 있으며, 각종 센서 등도 독립적으로 기능을 수행하고 있어 기능의 중복투자 및 비상시 종합적인 판단을 하기에는 한계를 가지고 있다. 또한 새로운 안전시스템과 기존 시스템과의 호환성 및 확장성 등에 문제를 발생시킬 수 있으며, 종합 관제실 등에서도 종합적인 판단을 실시하고 상황발생시 즉각적인 대응을 하는 데는 많은 문제점을 가지고 있다. 이를 위해 본 논문에서는 도시철도 운영기관별 정보통신시스템 현황 및 종합감시시스템 발주사양서를 비교 분석하여, 도시철도 종합감시시스템에 대한 표준규격을 도출하였다.

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Prediction of Structure-Borne Noise for Floating Floor Using SEA (SEA 기법을 이용한 부유상구조의 구조기인 소음 예측)

  • Park, Hee-Jun;Woo, Kwan-Je
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.258-264
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    • 2007
  • Floating floors, which are mainly used for reducing interior noise levels of railway vehicle, are known to be superior to single structure in respect to sound transmission loss and vibration reduction performances. The stiffness of isolator is one of the important design variables in floating floors. From modal tests, modal properties of underframe, top floor and isolators are derived. They are used as input parameters for predicting structure-borne noise using AUTOSEA.

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Study on the Effect of the Sound-Deadening Paint on the Inside Running Noise in Railway Vehicles (제진도료가 전동차 실내소음에 미치는 영향에 관한 연구)

  • Woo, Kwang-Je
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.702-706
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    • 2009
  • Internal running noise of a vehicle running in open field is the summation of air borne noise and structure-borne noise. In this paper vibration damping characteristics of carbody are investigated to see the effect of sound-deadening paint on the internal running noise. By using SEA method, vibration levels of complete train with and without sound-deadening paint are estimated and structure borne noise levels are estimated.

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Study on the Effect of Vibration Reduction Characteristics of Floors on the Inside Running Noise in Railway Vehicles (전동차 바닥구조의 진동절연특성이 실내소음에 미치는 영향)

  • Woo, Kwan-Je
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.908-912
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    • 2008
  • Structure-borne noise is known to dominate internal running noise levels in open field. In this paper vibration isolation characteristics of floors are investigated to see their effect on the internal running noise. By using the analysis and test results of test specimen of small size, internal running noise level of complete train is estimated. Analysis results show that soft rubber as a vibration isolator has the most favorable effect on the inside running noise.

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Investigation of Vibration Characteristics using Experimental Statistical Energy Analysis(ESEA) (시험적인 통계적 에너지 기법(ESEA)을 적용한 진동 전달 특성 연구)

  • 이화수;우관제;김종년;이태욱
    • Proceedings of the KSR Conference
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    • 2002.10a
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    • pp.113-118
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    • 2002
  • Vibrational characteristics of coupled beam & plate system are considered on simple system, which consists of plates(2-subsystem) and beams(4-subsystem), using experimental statistical energy analysis(ESEA). First, damping and coupling loss factors of the system are determined by power injection method (PIM). Then, energy distribution of all the subsystem is estimated from the power balance equation. Finally, these quantities are compared with measured energy. The correlation of measured and estimated results for the sample problem is reasonably good.

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A Model Using IOT Based Railway Infrastructure Sensor Data for Recognition of Abnormal state (IOT기반 철도인프라 데이터를 활용한 이상상황 인식모델)

  • Jang, Gyu-JIn;Ahn, Tae-Ki;Kim, Young-Nam;Jung, Jae-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.771-773
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    • 2018
  • 인공지능(AI), 사물인터넷(IoT)등의 4차 산업기술은 철도안전의 핵심수단으로 부상하고 있으며 차량, 위험관리, 운행관리, 보안관리 등의 점진적인 적용분야 확장을 통해 철도안전에 대한 신뢰성을 향상시킬 수 있는 방안에 대한 관심이 집중되고 있다. 본 논문에서는 IoT 기반의 다양한 철도인프라 데이터를 활용하여 열차주행상태에 영향을 줄 수 있는 이상상황 인식 모델 및 열차자율주행을 위한 제어기술에 필요한 정보로 인프라 상태를 제공하는 방식을 제안한다. 철도 인프라 상황인지에 필요한 데이터는 레일온도, 선로 지정물, 승객 수, 선로 적설량을 지정하였고, 제안 인식모델의 스게노 퍼지추론 방식을 적용한 후 철도차량 운전관련 취급규정 및 취급세척을 기반으로 퍼지규칙(Fuzzy Rule)을 15개 생성하였다. 인프라데이터셋을 활용하여 제안모델의 인식률 평가에 사용하였으며 인식률 결과는 약 86%의 정확성을 보였다. 퍼지추론 기반 방식의 철도인프라 이상상태 인식모델을 철도분야에 접목시킨다면 기존의 관제기반 방식보다 효율적인 철도인프라 상황인식이 가능할 것으로 판단된다.

A Study to Improve the Database for the Efficiency on Railway Traffic Control System (철도관제 시스템의 효율성을 위한 데이터베이스 개선 방안 연구)

  • Jung, Hye-Ran;Cho, Woo-Sic
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1275-1281
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    • 2011
  • Most of the railway traffic control systems are using in the DBMS(Database Management System)is a disk-based DBMS. When the train schedule and the event data is inputted and referred at real time on Disk-based DBMS, it is characteristic of the slow access time and the data is preserved permanently. For this reason, this paper suggests the way of improving for Railway Traffic Control System by the hybrid DBMS using a combination of memory and disk. We apply the Hybrid DBMS to Railway Traffic Control System and compare the existing method with suggested one using the same data. As a result of comparison, we have come to the conclusion that suggested method is far more performance to shorten data access time and process a mass information than the previous methods.

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A Study on the Reduction of Structure-borne Noise in a Train (철도차량 구조기인 소음의 저감에 관한 연구)

  • Woo, Kwan-Je;Kim, Seock-Hyun
    • Journal of the Korean Society for Railway
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    • v.11 no.6
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    • pp.519-523
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    • 2008
  • Inside noise levels of running train is the summation of air borne noise and structure-borne noise. In this paper, structure-borne noise, which is known to dominate inside noise level in open field, is investigated. Structure borne noise is analyzed in terms of vibration sources, transmission path and noise generating part so as to reduce inside noise levels.

A Study for behavior mode frequency of railway vehicle using ramp device (Ramp장치를 이용한 철도차량 거동모드 주파수에 관한 연구)

  • Yang, Hee-Joo;Woo, Kwan-Je;Seong, Jae-Ho
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.30-35
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    • 2010
  • The railway vehicle is a multi-body system running on the track which consists of carbody, bogie and wheelset, each of components is connected with rigid mass, spring and damper. each of components has translation motions of longitudinal (X axis), lateral(Y axis) and vertical(Z axis) direction, and rotation motions of X, Y, Z axis which are named Rolling, Pitching and Yawing. The vibration mode of railway vehicle is difficult to find the characteristics of motion during the operation on the track because these happen to independence or duplication motion caused by vehicle, wheel/rail and track irregularity etc. This paper presents the result of ramp test to show the bounce, roll, pitch and yaw mode frequency of the railway vehicle.

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Analysis of Types and Characteristics of the Railway Traffic Signaller's Tasks (철도 관제사 직무 유형 및 특성 분석)

  • Ko, Jong-Hyun;Han, Kyu-Min;Jung, Won-Dea
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.502-506
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    • 2007
  • Railway accidents/incidents occur because of many reasons. Human error by the railway staff or personnel takes a major part of those reasons. In order to reduce and prevent railway accidents/incidents, appropriate measures should be developed to remove root causes induced in human error. A systematic study for analysing causes of human errors and for developing an effective management is necessary. Detailed analysis of the railway traffic signaller's tasks should be preferentially performed for this purpose. This paper introduces the results of analysis for the types and characteristics of the railway traffic signaller's tasks. As a result of the analysis, the railway traffic signaller's tasks can be decomposed into 24 tasks in total, and also be divided into the general task and the emergency task. The railway traffic signaller's tasks are characterized to require continual confirmation and observation activities, and sometimes immediate decision and action.

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