• Title/Summary/Keyword: 자동 계측

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On-line Finite Element Model Updating Using Operational Modal Analysis and Neural Networks (운용중 모드해석 방법과 신경망을 이용한 온라인 유한요소모델 업데이트)

  • Park, Wonsuk
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.1
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    • pp.35-42
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    • 2021
  • This paper presents an on-line finite element model updating method for in-service structures using measured data. Conventional updating methods, which are based on numerical optimization, are not efficient for on-line updating because they generally require repeated eigenvalue analyses until convergence criteria are met. The proposed method enables fully automated on-line finite element model updating, almost simultaneously with vibration measurement, without any user intervention or off-line procedures. The automated covariance-driven stochastic subspace identification (Cov-SSI) method is utilized to identify modal frequencies and vectors, and the identified modal data is fed to the neural network of the inverse eigenvalue function to produce the updated finite element model parameters. Numerical examples for a wind excited 20-story building structure shows that the proposed method can update the series of finite element model parameters automatically. It is also shown that sudden changes in the structural parameters can be detected and traced successfully.

Development of Water Velocity Data Preprocessing Method for PAVOs (PAVOs 활용을 위한 유속데이터 전처리 기법 개발)

  • Soyeon Lim;Youngmoo Yu;Sinjae Lee;Yeongil Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.85-85
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    • 2023
  • 유량 측정을 위해 도섭법, 횡측선법 등의 인력에 의한 방법이 적용되고 있으나, 이는 야간 및 휴일 측정, 인력 부족 등 여러 제약으로 인해 고수위 홍수를 측정하는 데에 한계가 있다. 이를 해결하기 위해 시공간적 제약이 없는 도플러 방식 초음파유속계(Acousitc Doppler Velocity Meter, ADVM)와 자동유속관측시스템(Portable Automatic Velocity Observation System; PAVOs)이 제안되었다. 이 방법들은 교량에 설치된 장치를 통해 실시간으로 유속이 계측되어 시공간적 제약이 없으며 홍수 관리에 유용하게 사용될 수 있다. 실시간으로 계측된 유속 데이터는 오·결측 값이 발생하며 ADVM의 경우 수위-유량관계식을 활용하는 등 전처리 방법이 활용되고 있지만 전자파표면유속계를 활용한 PAVOs 데이터의 전처리 방법에 대한 연구는 부족하다. 따라서 본 연구에서는 PAVOs에서 실시간으로 계측된 유속 데이터의 전 처리 과정(Pre-processing)을 개발하였다. PAVOs를 통해 측정된 데이터는 5분 단위로 10개의 유속이 한번에 측정되며 비정상성(Non-stationary)인 특징을 가진다. 이 데이터의 전처리 과정으로 오·결측값에 대한 처리 및 보간법 적용 이후 10개 값 중 실제 유속을 판단하고 잡음제거(Denoising)를 수행하였다. 이를 강원도 홍천강에 위치한 홍천교에서 계측된 유속 데이터에 적용하였다. 그 결과 데이터의 상승부와 하강부에서 일정한 경향성을 파악할 수 있다. 이 데이터를 통해 산정한 유량과 실측 기반의 평균유속과 관계를 통해 계산한 유량을 비교해 보았을 때 낮은 편차율을 가지는 것을 확인하였다. 전 처리 된 실시간 유속 데이터를 활용한다면 최고수위가 발생하였을 경우 홍수량을 산정할 수 있을 것이다. 또한, 강우 또는 하천 공사에 의해 변동하는 수위-유량관계곡선식을 실시간으로 개발할 수 있을 것이며 이는 효과적인 홍수관리에 큰 역할을 할 수 있을 것이다.

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A Case Study on Real-time Discharge Measurement under Backwater Condition by Weirs in 4 Major River (자동유량측정시설을 통한 4대강 보 구간 내 유량측정결과 분석)

  • Cho, Sang UK;Kim, Dong Su;Roh, Youngsin;Jung, Sung Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.504-504
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    • 2017
  • 4대강 본류 하천에 다기능보가 설치되면서 과거와는 다른 변화된 수리조건으로 인해 전통적인 방법으로는 유량자료의 생산이 불가능하기 때문에 ADVM(Acoustic Doppler Velocity Meter)과 같은 첨단계측장비를 활용한 자동유량측정시설의 필요성이 증대되었으며, 수위-유량관계를 개발이 불가능한 감조하천이나 배수영향을 받는 지점에 우선적으로 설치되어 현재까지(2016년 12월 기준) 총 58개소가 설치되어 운영 중에 있으며, 4대강 본류의 다기능 보구간내에는 총 24개소가 되었다. 본 연구에서는 자동유량측정시설 중 다기능보로 인해 하도통제를 받는 조건의 한강 본류 구간(충주조정지댐~서울시(한강대교)), 9개소, 낙동강 본류 구간(안동조정지댐~낙동강하굿둑) 16개소, 금강 본류 구간(대청조정지댐~금강 하굿둑) 6개소, 영산강 본류 구간(마륵~영산강 하굿둑) 5개소를 대상으로 2016년 유량측정결과를 토대로 보구간 내 유량변화와 상하류 유출량을 비교 분석하였다. 자동유량측정시설의 운영결과를 검토한 결과, 보 운영에 따른 구간내 유량변화가 정상적으로 측정되는 것으로 나타났으며, 본류 구간내 지점별 유출량도 정상적인 상하류 관계를 보이는 것으로 나타났다. 다만, 낙동강 본류의 경우 각 구간 별로 하천수 사용에 따른 취수가 많이 이루어지기 때문에 일부 구간에서 상하류 유량반전이 발생하는 것으로 나타났다. 따라서, 하천수취수량 검토를 추가적인 물수지 분석을 통한 검증이 필요할 것으로 판단되며, 이를 통해 효율적인 하천유량관리가 가능할 것으로 기대된다.

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Development of Measurement System for Welding Bead Shape using LabVIEW (LabVIEW를 이용한 용접비드 형상 계측시스템 개발)

  • Kang, Hoon-Hyo;Lee, Da-Hye;Jeon, Euy-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.2
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    • pp.189-194
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    • 2007
  • Recently, as consumer's claim fur car safety is increased, quality inspection method fur welding zone is strengthened. Therefore, from the methods that depend on welding zone bead shape size of seat frame in macrography or passive examination, the quality control by whole recording inspection is required. In this study, the system that is measuring automatically if worker checks welding bead fur quality inspection of seat frame is developed using LabVIEW. If the quality standard for the bead width and length of welding zone is inputted, the system measures automatically whether welding zone is bead length or bead width. Measured data is preserved by points and quality recording of welding zone is stored. The car seat きme welding zone is applied and experimented. The results gave good influence o9 the quality control of work efficiency.

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The Study on Index of Greeness in Streets of Seoul by Using Automatic Measurement Techniques (자동 계측 기법을 이용한 서울 주요 가로의 녹시율 분석)

  • Nam, Chang Jin;Bang, Jae Sung;Jang, Dae Hee
    • KIEAE Journal
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    • v.12 no.2
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    • pp.93-101
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    • 2012
  • In this study, we measured the Index of Greeness(I.O.G) and analyzed factors that affect in downtown street of Seoul. The aim of this article is to provide an ways of improving I.O.G, with an emphasis on accuracy of measurement. We utilized the autimatic measurment techniques proposed by Tonosaki to solve the problem of accuracy in measurement. The result is as follows : Firstly, the average I.O.G of Gwanghwamun Plaza is 15.76%, Jongno is 11.48% and Dasanro(from Yaksu station to Beotigogae station) is 6.36%. According to the comprehensive analysis in three reseach areas, it shows that I.O.G is intimately linked with planting method, species of trees and the presence of wall planting. Secondly, it was analyzed that grass and ground-cover planting promote I.O.G better than other method. The I.O.G of photo which contains grass is 45.47%. According to the comparative analysis between tree planting and multi-planting method, the presence of lower planting showed a difference about 8.77% of I.O.G.. From the persipective of I.O.G, tree planting with two lines is more effective than one. The difference of two ways is about 3.24%. Thirdly, it is an efficint way to use the wall planting or vertical planting in order to promote I.O.G.. In Dasanro, The I.O.G of photo which contains wall planting or vertical planting is 45.47% in contrast to the average of I.O.G. is 6.36%. Fourthly, the difference of I.O.G between broadleaf tree and needleleaf tree was larger than we thought. If look closely confined to this study, the I.O.G of street planted by Pine is 3.61% and Eastern Sycamore Family Bottonwood is 12.55%.

Improved X-ray Center Beam Alignment Evaluation Method (개선된 X선 중심선속정렬평가 측정법)

  • Choi, Seokyoon
    • Journal of the Korean Society of Radiology
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    • v.14 no.6
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    • pp.827-832
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    • 2020
  • X-ray equipment, which is frequently used in radiology and treatment, is the most common and most used equipment in clinical practice. Equipment must provide accurate information to patients through continuous quality control. In case of manual quality control measurement, reproducibility may be poor and there may be a problem with reliability of evaluation results. In this study, an automated program was developed and attempted to measure how much the central ray between the focus of the X-ray tube and the variable aperture of the diagnostic X-ray generator used in clinical practice coincides. As a result of the experiment, it succeeded in calculating the coordinates of the two center points, and the distance between the two points was calculated in pixels and applied to the judgment and the automatic judgment value for whether the center line coincidence is within the normal angle or the abnormal angle is presented. The results of this study are considered to be very helpful in the quality control of the X-ray apparatus.

Development of an Automatic Transverse and Longitudinal Road Profile Measurement System (노면 종.횡단 요철 자동 측정 시스템 개발)

  • Eom, Jung-Hyun;Seo, Dong-Sun;Huh, Woong;Roo, Myong-Chan;Kim, Joon-Bum
    • Journal of IKEEE
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    • v.5 no.1 s.8
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    • pp.75-84
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    • 2001
  • The reliable data relating to the condition of road surface is of increasing importance to deliver the road condition to driver and road management authority. This paper describes the development of a new high-speed. automatic, road data collection system, which collects the longitudinal road data with ${\sim}30cm$ interval covering full width of the road at 100km/h speed. The system calculates the international roughness index (IRI) from the collected data and displays the IRI and road profile data on the screen. To develope the system, we implement an optical range finder, advanced distance and motion detectors, and signal processing and display modules. The measurement accuracy of the system at 70km/h operation speed shows ${\pm}0.1m/km$ in the IRI for the standard road. To confirm the performance of the developed system, we also measure the IRI of a deployed highway road and compare the results with a conventional system and human eye measurement results.

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A Study on Optical Current Sensor and Voltage Sensor for automation of power distribution (배전자동화 개폐기 내장형 광 전류 및 광 전압 센서에 관한 연구)

  • 양승국;오상기;박해수;김인수;김요희;홍창희
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.1
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    • pp.89-98
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    • 2002
  • Optical current sensor and optical voltage sensor modules were designed and fabricated to improve measurement error and insulation in automatic power distributor By using Faraday effect, optical current sensor with an $\alpha$-iron core was designed and fabricated to minimize current induction of the other phase and was optimized to maintain linearity. Optical voltage sensor was fabricated owing to the pockets effect and adopted spatial electric field type because of small room in an automatic power distributor. To connect a distributor with an external terminal for signal processing, optical multi connector was designed, fabricated and tested for coupling loss and gas leakage. The linearity of optical current sensor for applied current maintains variation of smaller than 2.5% for applied current range from 20A to 700A. The linearity of optical voltage sensor was smaller than 1% for appling voltage from 6.6kV to 19.8kV. Since the measured characteristics are good, these devices can be considered as being applicable in practice.

Development of a Series Hybrid Propulsion System for Bimodal Tram (바이모달 트램용 직렬형 하이브리드 추진시스템 개발)

  • Bae, Chang-Han;Lee, Kang-Won;Mok, Jai-Kyun;You, Doo-Young;Bae, Jong-Min
    • The Transactions of the Korean Institute of Power Electronics
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    • v.16 no.5
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    • pp.494-502
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    • 2011
  • Bimodal tram is designed to run on a dedicated path in automatic mode using a magnetic track system in order to realize a combination of the accessibility of a bus and the constant regularity of a railroad. This paper presents design and test results of the series hybrid propulsion system of the bimodal tram on both test track and public road, which uses CNG (Compressed Natural Gas) engine and Lithium polymer battery pack. This paper describes the real-time data measuring equipment for the series hybrid propulsion system of the bimodal tram. Using this measurement equipment, the performance of the prototype vehicle's driving on test track and public road was verified and the fuel consumption and the efficiency of CNG engine have been investigated.

Airspeed Estimation Through Integration of ADS-B, Wind, and Topology Data (ADS-B, 기상, 지형 데이터의 통합을 통한 대기속도 추정)

  • Kim, Hyo-Jung;Park, Bae-Seon;Ryoo, Chang-Kyung;Lee, Hak-Tae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.1
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    • pp.67-74
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    • 2022
  • To analyze the motion of aircraft through computing the dynamics equations, true airspeed is essential for obtaining aerodynamic loads. Although the airspeed is measured by on-board instruments such as pitot tubes, measurement data are difficult to obtain for commercial flights because they include sensitive data about the airline operations. One of the commonly available trajectory data, Automatic Dependent Surveillance-Broadcast data, provide aircraft's speed in the form of ground speed. The ground speed is a vector sum of the local wind velocity and the true airspeed. This paper present a method to estimate true airspeed by combining the trajectory, meteorological, and topology data available to the public. To integrate each data, we first matched the coordinate system and then unified the altitude reference to the mean sea level. We calculated the wind vector for all trajectory points by interpolating from the lower resolution grid of the meteorological data. Finally, we calculate the true airspeed from the ground speed and the wind vector. These processes were applied to several sample trajectories with corresponding meteorological data and the topology data, and the estimated true airspeeds are presented.