• Title/Summary/Keyword: 자동계측시스템

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Development of an Algorithm for Intellectual Control System of Desalination Plants (해수담수화시설의 지능적 운영을 위한 알고리즘 개발)

  • Park, Hyunki;Lee, Dongseop;Han, Kukheon;Kim, Jaeho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.522-522
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    • 2016
  • 우리나라의 488개 유인도 중 강수량 부족 혹은 지하수의 수질문제 등으로 상습적 식수난을 겪고 있는 도서지역은 237개에 이르고 있다. 이들 도서지역은 생활용수를 우물, 간이상수도, 운반급수 등에 의존하고 있지만 이중 47%의 도서는 간이급수시설이 전무한 실정이다. 2015년에는 인천시 옹진군의 소청도, 대청도에 장기간 지속된 가뭄으로 식수원이 고갈되어 3일에 1시간으로 급수를 제한하였고 이로 인해 식수난 문제 외 관광산업의 소득저하 등의 문제가 발생되어 원활한 물공급문제가 해결되지 않으면 도서지역의 위기는 심각할 것으로 우려된다. 도서지역의 기본권인 먹는 물 문제를 해결하기 위해 정부 및 지자체에서는 소규모 유인도서에 해수담수화시설을 설치하여 유지관리 및 운영을 위한 인력을 배치하고 수동으로 조작하거나 단순 자동운전에 의해 운영 및 관리되고 있는 실정이다. 본 연구에서는 해수담수화시설의 안정적이고 효율적인 운영을 위해 지능적 수운영 알고리즘을 개발하였다. 제어시스템, 감시시스템, 계측시스템 등의 ICT 기술과 연계하여 수요를 정확히 예측하고, 실시간 전력비용과 저류량, 사용량 등을 통합적으로 고려하였으며 적시정량을 생산하여 저장 및 공급하며, 목표수질과 수량을 원활하고 안정적으로 공급할 수 있도록 제어 및 감시를 통한 지능적 수운영을 목적으로 연구하였다. 데이터의 수집과 전송, 분석, 제어, 감시 활동이 유기적으로 결합되어 용수의 생산과 분배, 공급활동을 자동화함으로 운영상의 리스크를 줄여주며, 필요시 통합운영센터에서의 의사결정을 지원할 수 있도록 개발하였다. 향후, 해수담수화시설뿐이 아닌 일반 상수도 수운영에 있어서의 취수, 도수, 정수, 배수지관리, 송수, 관망관리까지 자동화된 시스템을 개발하여 지능적 운영관리가 가능하도록 알고리즘 모델 및 프로그램을 제시하고자 한다.

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Development of Statistical/Probabilistic-Based Adaptive Thresholding Algorithm for Monitoring the Safety of the Structure (구조물의 안전성 모니터링을 위한 통계/확률기반 적응형 임계치 설정 알고리즘 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.1-8
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    • 2016
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

Development of SV30 Detection Algorithm and Turbidity Assumption Model using Image Analysis Method (이미지 분석기법을 이용한 SV30 자동감지방법 및 탁도 추정 모델 개발)

  • Choi, Soo-Jung;Kim, Ye-Jin;Yoom, Hoon-Sik;Cha, Jae-Hwan;Choi, Jae-Hoon;Kim, Chang-Won
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.2
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    • pp.168-174
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    • 2008
  • Diagnosis on setteability based on human operator's experimental knowledge, which could be established by long term operation, is a limit factor to construction of automation control system in wastewater treatment plant. On-line SVI(Sludge Volume Index) analyzer was developed which can measure SV30 automatically by image capture and image analysis method. In this paper, information got by settling process was studied using On-line SVI analyzer for better operation & management of WWTPs. First, SV30 detection algorithm was developed using image capture and image analysis for settling test and it showed that automatic detection is feasible even if deflocculation and bulking was occurred. Second, turbidity assessment model was developed using image analysis.

Design of Automatic Monitoring Network for the Water Quality Management of River Basin (하천 및 호소수 수질관리를 위한 자동측정망의 설계)

  • Choi, Ji-Yong;Park, Won-Kqyu;Lee, Sang-Il
    • Water for future
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    • v.29 no.2
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    • pp.167-178
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    • 1996
  • In designing automatic water quality monitoring networks for a river basin, determination of measurement locations and items is critical to the effectiveness of the total system. In this paper we studied how to decide these two design factors when a monitoring network is designed for the purposse of water quality surveillance and emergency alarm. For measurement locations, candidate sites are chosen based on the intake amount for water supply and the point sources of contamination. Then, detailed locations are decided according to the contaminant flow distance. As for measurement items, characteristics and the accident history of water pollution in the basin must be taken into account. Considering economic aspects, we proposed a two-stage measurement plan: basic components for all locations and selective ones variable for different locations. Proposed methodology is demonstrated through a case study for Nak-dong River Basin.

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Evaluation of Precipitation Variability using Grid-based Rainfall Data Based on Satellite Image (위성영상 기반 격자형 강우자료를 활용한 강수량 변동성 평가)

  • Park, Gwang-Su;Nam, Won-Ho;Mun, Young-Sik;Yang, Mi-Hye;Lee, Hee-Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.330-330
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    • 2022
  • 우리나라에서 발생하는 기상 재해 현상은 주로 태풍, 집중호우, 장마 등 인명 및 경제적인 피해가 크며, 단기간에 국지적으로 나타난다. 현재 재해 감시 및 예보는 주로 종관기상관측체계를 이용하고 있다. 하지만, 우리나라의 복잡한 지형, 인구 밀집 지형, 관측 시기가 일정하지 않은 지형과 같은 조건에서 미계측 자료 및 지역이 다수 존재 때문에 강수의 공간 분포와 강도에 대한 정밀한 정보를 제공하지 못하는 실정이다. 최근 광범위한 관측영역과 공간 분해능의 개선, 자료추출 알고리즘의 개발로 전세계적으로 위성영상 기반 기상관측 자료의 활용성이 증대되고 있다. 본 연구에서는 한반도 지역의 지상 관측데이터와 전지구 격자형 위성 강우자료를 비교하여 한반도의 적용성을 분석하고자 한다. 다양한 위성영상 기반 기상자료인 Climate Hazards Groups InfraRed Precipitation with Station (CHIRPS), Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), Global Precipitation Climatology Centre (GPCC), Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Cloud Classification System (PERSIANN-CCS) 4개의 강우위성영상을 수집하여, 1991년부터 2020년까지 30년 데이터를 활용하였다. 강수량 변동성 비교를 위하여 기상청의 종관기상관측장비 (Automated Synoptic Observation System, ASOS), 자동기상관측시설 (Automatic Weather System, AWS) 데이터와 상관 분석을 수행하고, 강우위성영상의 국내 적합성을 판단하고자 한다.

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Tunneling-induced Building Damage Risk Assessment System (터널굴착에 따른 인접건물 손상위험도 평가시스템)

  • Park, Yong-Won;Yoon, Hyo-Seok
    • Journal of the Korean Geotechnical Society
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    • v.18 no.3
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    • pp.51-59
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    • 2002
  • This paper deals with development of a damage risk assessment system for adjacent buildings to under-passing tunnel face considering 3D-ground movement. The system consists of building and ground information module, monitoring data module, settlement evaluation module, and building damage risk assessment module. The major modules, settlement evaluation module and building damage assessment module, are based on settlement estimation model suggested by Attewell et al (1982) and the building damage assessment method by Mair et al. (1996). After estimating 3D-ground movements due to tunneling with settlement evaluation module, damage assessment far buildings is performed using building damage risk assessment module. The developed system has two major functions; 1) calculation of 3D-settlement with ground loss ($V_{s}$)or maximum settlement ($w_{max}$) and inflection point (i) using various empirical formulae, monitoring data, numerical results, and so on; 2) assessment of damage risk for adjacent buildings of arbitrary section with position change of tunnel face. The field data given by Boscadin and Cording (1989) leer the case of two-storied masonry building near the Metro tunnel in Washington D.C. was simulated to verify the applicability of the developed system.

A Study on the Development of iGPS 3D Probe for RDS for the Precision Measurement of TCP (RDS(Robotic Drilling System)용 TCP 정밀계측을 위한 iGPS 3D Probe 개발에 관한 연구)

  • Kim, Tae-Hwa;Moon, Sung-Ho;Kang, Seong-Ho;Kwon, Soon-Jae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.6
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    • pp.130-138
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    • 2012
  • There are increasing demands from the industry for intelligent robot-calibration solutions, which can be tightly integrated to the manufacturing process. A proposed solution can simplify conventional robot-calibration and teaching methods without tedious procedures and lengthy training time. iGPS(Indoor GPS) system is a laser based real-time dynamic tracking/measurement system. The key element is acquiring and reporting three-dimensional(3D) information, which can be accomplished as an integrated system or as manual contact based measurements by a user. A 3D probe is introduced as the user holds the probe in his hand and moves the probe tip over the object. The X, Y, and Z coordinates of the probe tip are measured in real-time with high accuracy. In this paper, a new approach of robot-calibration and teaching system is introduced by implementing a 3D measurement system for measuring and tracking an object with motions in up to six degrees of freedom. The general concept and kinematics of the metrology system as well as the derivations of an error budget for the general device are described. Several experimental results of geometry and its related error identification for an easy compensation / teaching method on an industrial robot will also be included.

Development of Automated Non-Destructive Ultrasonic Inspection Equipment for Welding Crack Inspection (용접크랙검사용 비파괴 초음파탐상 자동화검사장비 개발)

  • Chai, Yong-Yoong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.1
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    • pp.101-106
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    • 2020
  • This research is related to a development of the ultrasonic detector for an internal defect detection of various assembly part's welding zone. In this research, measurement S/Ws including system's motion control, S/W ultrasonic transmitter/receiver control, defect judgment standard setting, etc. have been designed for ultrasonic detection, and welding defects sample network, etc. were also designed for comparison between products in good condition and defective products. Through this kind of system, automatic detection function can be performed for the depth and the defect location of the assembly parts welding zone, and the system is able to make a judgment of internal defect detection which is used to be performed by an expert in the past.

Fabrication of High Frequency Magnetic Characteristics Measurement System Using Digital Oscilloscope and Computer Remote Control (디지털 오실로스코프와 컴퓨터 제어기법을 이용한 고주파 자기특성 측정장치 제작)

  • 김기옥;이재복;송재성;민복기
    • Journal of the Korean Magnetics Society
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    • v.7 no.6
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    • pp.327-333
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    • 1997
  • We designed and constructed the high frequency magnetic characteristics measurement system to measure core loss, B-H curve, permeability of toroidal ferrite core, amorphous core and various materials for high frequency application. The system consists of universal equipments such as digitizing oscilloscope, signal generator, power amplifier, PC in order to make upgrade easily. The power source is composed of waveform synthesizer and power amplifier ranging from DC to 20 MHz, and output signal H and B from sample core are digitized by oscilloscope with sampling rate 1 GS/ s per channel. Computer controls power source and oscilloscope, reads data from oscilloscope, displays analyzed waveform and saves data with file. The entire procedures finishes within few seconds.

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Implementation of Virtual Instrumentation based Realtime Vision Guided Autopilot System and Onboard Flight Test using Rotory UAV (가상계측기반 실시간 영상유도 자동비행 시스템 구현 및 무인 로터기를 이용한 비행시험)

  • Lee, Byoung-Jin;Yun, Suk-Chang;Lee, Young-Jae;Sung, Sang-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.9
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    • pp.878-886
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    • 2012
  • This paper investigates the implementation and flight test of realtime vision guided autopilot system based on virtual instrumentation platform. A graphical design process via virtual instrumentation platform is fully used for the image processing, communication between systems, vehicle dynamics control, and vision coupled guidance algorithms. A significatnt ojective of the algorithm is to achieve an environment robust autopilot despite wind and an irregular image acquisition condition. For a robust vision guided path tracking and hovering performance, the flight path guidance logic is combined in a multi conditional basis with the position estimation algorithm coupled with the vehicle attitude dynamics. An onboard flight test equipped with the developed realtime vision guided autopilot system is done using the rotary UAV system with full attitude control capability. Outdoor flight test demonstrated that the designed vision guided autopilot system succeeded in UAV's hovering on top of ground target within about several meters under geenral windy environment.