• 제목/요약/키워드: Water Sensor

검색결과 1,228건 처리시간 0.027초

동축 공동 공진기를 이용한 물방울 감지 센서 설계에 관한 연구 (Design of the Rain Sensor using a Coaxial Cavity Resonator)

  • 이윤민;김진국
    • 한국인터넷방송통신학회논문지
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    • 제18권5호
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    • pp.223-228
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    • 2018
  • 본 논문은 동축 공동 공진기를 이용한 레인센서를 설계하고 제작한다. 선형적으로 빗방울을 감지할 수 있는 레인센서는 전압 제어 발진기 (VCO), 동축 공동 공진기, RF 스위치, RF 검출기, A / D 컨버터, DAC 및 마이크로 컨트롤러로 구성되었다. 설계된 레인 센서의 작동 주파수 범위는 2.5GHz ~ 3.2GHz이며, 입력 전압과 전류 소스는 24 [V / DC]와 1 [A]이다. 설계된 센서 회로는 VCO, RF 스위치, 고주파수 3GHz에서 소자의 주파수 특성을 변화시키는 RF 검출기를 포함한다. 센서 회로의 주파수 특성에 대한 오차를 교정한다. 이를 위해 공진기에 신호를 보내지 않고 RF 검출기로 신호를 직접 전달하는 기준 경로를 만든다. 시뮬레이션 및 측정 결과에 따르면 시뮬레이션된 공진기 주파수와 제작된 공진기 주파수 사이에 0-50MHz 차이가 있음을 알 수 있다.

선박 평형수 처리 시스템의 안드로이드 원격 모니터링 시스템 (Android Remote Monitoring System of Ballast Water Treatment System)

  • 최휘민;서지노;이광섭;김선종;김주만
    • 한국인터넷방송통신학회논문지
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    • 제15권6호
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    • pp.217-224
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    • 2015
  • 본 논문에서는 안드로이드 기반 장치에서 선박 평형수 처리 시스템의 센서 데이터를 시간과 장소에 구애받지 않고 원격 모니터링이 가능한 시스템을 설명한다. 제안하는 원격 모니터링 시스템은 선박 내에 설치된 선박 평형수 처리 시스템에 문제가 발생하였을 경우 파견되는 엔지니어를 위한 정보를 제공한다. 시스템은 선박으로부터 수집된 센서데이터를 보존하는 서버와 이동이 자유로운 모바일 장치로 구성된다. 서버의 센서 데이터는 모바일 장치에서 원하는 조건을 입력하고 요청한다. 모든 센서 데이터를 수신할 경우 모바일에서 처리되는 시간이 길어져 문제가 발생했을 때 치명적일 수 있는 중요도가 높은 센서 데이터만을 수신하여 사용자에게 제공한다. 서버와 모바일 장치의 데이터 송수신은 안전한 통신을 위해 TCP/IP를 사용한다. 본 시스템에서는 선박 평형수 처리 시스템의 원격 모니터링 정보를 통해 센서의 고장을 예측한다.

액적의 충격력 측정을 위한 유연 멤브레인 센서의 PDMS 변형에 의한 민감도의 영향 (The Effect of the Deformation on the Sensitivity of a Flexible PDMS Membrane Sensor to Measure the Impact Force of a Water Droplet)

  • 강동관;이상민
    • 한국기계가공학회지
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    • 제21권5호
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    • pp.16-21
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    • 2022
  • This study investigates the effect of the deformation on the sensitivity of a flexible polydimethylsiloxane (PDMS) membrane sensor. A PDMS membrane sensor was developed to measure the impact force of a water droplet using a silver nanowire (AgNW). The initial deformation of the membrane was confirmed with the application of a tensile force (i.e., tension) and fixing force (i.e., compressive force) at the gripers, which affects the sensitivity. The experimental results show that as the tension applied to the membrane increased, the sensitivity of the sensor decreased. The initial electrical resistance increased as the fixing force increased, while the sensitivity of the sensor decreased as the initial resistance increased. The movement of the membrane due to the impact force of the water droplet was observed with a high-speed camera, and was correlated with the measured sensor signal. The analysis of the motion of the membrane and droplets after collision confirmed the periodic movement of not only the membrane but also the change in the height of the droplet.

고주파수분센서(FDR)를 활용한 콘크리트 단위수량 평가에 관한 실험적 연구 (An Experimental Study on the Evaluation of Concrete Unit-Water Content Using High Frequency Moisture Sensor (FDR))

  • 이승엽;양현민;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 가을 학술논문 발표대회
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    • pp.59-60
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    • 2021
  • The unit-water content has a major problem in concrete structures which leads to micro cracks on the concrete during drying time. Thus, the compressive strength and durability of the concrete structures are significantly reduced. Several techniques have been developed to measure the unit-water content in concrete structures such as heating drying, unit volume mass, and capacitance measurements. However, these techniques have problems in during measurement such as longer time, expensive and difficult in analysis of data. Frequency Domain Reflectivity (FDR) is one of the sensors which used to measure the water content. This method has several advantages including easy to measure, inexpensive, and capable of measuring moisture in real time. In this study, an attempt has been made to evaluate the unit-water content in concrete using the FDR sensor and interpret the data with deep learning method.

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Reed Switch 센서를 이용한 원격 검침용 상수도 계량기에서 Chattering 오차 감소 방안 연구 (Reduction Chattering Error of Reed Switch Sensor for Remote Measurement of Water Meter)

  • ;권종원;박용만;구상준;김희식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.377-379
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    • 2007
  • To reduce the chattering errors of reed switch sensors used for automatic remote measurement of water supply system, a reed switch sensor was analyzed and improved. The operation of reed switch sensors can be described as a mechanical contact by approximation of permanent magnet piece to generate an electrical pulse. The reed switch sensors are used in measurement application by detecting the rotational or translational displacement. To apply for flow measurement devices, the reed switch sensors should keep high reliability. They are applied for the electronic digital type of water flow meters. The reed switch sensor is just installed simply on the mechanical type flow meter. A small magnet is attached on a pointer of the water meter counter rotor. Inside the reed sensor, two steel leaf springs make mechanical contact and apart as rotation of flow meter counter. The counting electrical contact pulses can be converted as the water flow amount. The MCU sends the digital flow rate data to the server using the wireless communication network. But it occurs data difference or errors by chattering noise. The reed switch sensor contains chattering error by it self at the force equivalent position. The vibrations such as passing car near to the switch sensor installed location. In order to reduce chattering error, most system uses just software methods for example using filter and also statistical calibration methods. The chattering errors were reduced by changing leaf spring structure using mechanical hysteresis characteristics.

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낙동강에서 클로로필(Chlorophyll) 측정을 위한 클로로필 센서와 아세톤 추출법의 비교분석에 관한 연구 (A study on comparison and analysis of chlorophyll sensor with aceton extraction for chlorophyll measurement in the Nakdong River)

  • 박주현;이경진;조재원;전숙례;강선홍
    • 상하수도학회지
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    • 제29권3호
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    • pp.325-335
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    • 2015
  • Concerns about water quality in the Nakdong River have been raised because the Nakdong River will change from a lotic environment to a lentic environmental due to the installation of eight weirs to be constructed as part of the Four Major Rivers Restoration Project. The rapid urbanization and industrialization of the middle and the lower reaches of Nakdong River causes the indiscreet discharge of uncleanly living sewage and industrial wastewater. And the water quality of lower reaches of Nakdong River is getting seriously worse. Owing to the water shortage of Nakdong River and the closing of reaches because of the estuary dyke in the dry season, the velocity of a moving fluid is almost accumulated under 0.03m/sec. Then a pollutant is piled up on the bottom of the river. Polluted sediment is formed and nutrition level of water is increased more and more. The eutrophication state propagated to dark brown or green from eutrophication often comes out. Therefore in this study, we measured Chl. a of chlorophyll sensor (YSI6600V2) and aceton extraction through field observation in the Nakdong River and Samrangjin. And we evaluated the reliability of chlorophyll sensor. In correlation analysis between chlorophyll sensor and aceton extraction, it shows high relation in general. And it also shows high relation among the chlorophyll sensor and aceton extraction of the dominant diatom (Skeletonema costatum), Dinophyta (Prorocentrum minimum) in the Nakdong River estuary by laboratory analysis results.

효모균을 이용한 BOD Biosensor (Yeast Loading BOD Biosensor)

  • 김말남
    • 한국균학회지
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    • 제23권4호통권75호
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    • pp.354-358
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    • 1995
  • 용존 유기물의 농도를 BOD로 신속히 측정하여 폐수처리 공정에 feed back할 수 있는 Yeast BOD sensor 를 제작하여 BOD 측정의 거동을 조사하였다. BOD sensor의 감응도는 yeast의 활성이 가장 높은 pH 7.0 및 온도 $30^{\circ}C$에서 가장 높게 나타났다. Sensor에 충전되는 효모의 양도 감응도에 영향을 미치며 투석막 단위면적당 $ 0.14\;mg/cm^2$가 최적의 균체량이었다. 오염물질의 종류에 따라 BOD sensor의 출력 신호가 다르게 나타났으며 각각의 오염물질 속에 효모균를 전처리 시킨 후 sensor에 충전할 경우 sensor 의 감응도가 크게 증가하였다.

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고주파수분센서를 활용한 분체 비율별 모르타르 단위수량 평가에 관한 실험적 연구 (An Experimental Study on the Evaluation of Mortat Unit-Water Content by Powder Ratio Using Frequency Domain Reflectometry Sensor)

  • 윤지원;이승엽;위광우;양현민;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.109-110
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    • 2022
  • Currently, interest in the quality of concrete is increasing. Among the important factors for evaluating the quality of concrete, interest in unit-water content is also increasing. Currently, the air-meter method, the microwave oven drying method, the capacitance method, and the microwave penetration method are used to measure the unit-water content of concrete.. Among the above methods, except for the microwave method, the measurement method is complicated, portability is reduced, and economic efficiency is reduced. This research aims to measure a unit-water content by using a Frequency Domain Reflectometry(FDR) sensor that is economical, simple to measure, and portable among microwave methods. In addition, it is an experimental study to determine the accuracy of unit-water content using a single input residual model during deep learning to solve the limitations of the FDR sensor.

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딥러닝과 머신러닝을 이용한 FDR 센서의 콘크리트 단위수량 평가에 관한 연구 (A Study on the Evaluation of Concrete Unit-Water Content of FDR Sensor Using Deep Learning and Machine Learning)

  • 이승엽;윤지원;위광우;양현민;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.29-30
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    • 2022
  • The unit-water content has a very significant effect on the durability of the construction structure and the quality of concrete. Although there are various methods for measuring the unit-water content, there are problems of time required for measurement, precision, and reproducibility. Recently, there is an FDR sensor capable of measuring moisture content in real time through an apparent dielectric constant change of electromagnetic waves. In addition, various artificial intelligence techniques that can non-linearly supplement the accuracy of FDR sensors are being studied. In this study, the accuracy of unit-water content measurement was compared and evaluated using machine learning and deep learning techniques after normalizing the data secured in concrete using frequency domain reflectometry (FDR) sensors used to measure soil moisture at home and abroad. The result of comparing the accuracy of machine learning and deep learning is judged to be excellent in the accuracy of deep learning, which can well express the nonlinear relationship between FDR sensor data and concrete unit-water content.

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Disposable Nitrate-Selective Optical Sensor Based on Fluorescent Dye

  • Kim, Gi-Young;Sudduth, Kenneth A.;Grant, Sheila A.;Kitchen, Newell R.
    • Journal of Biosystems Engineering
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    • 제37권3호
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    • pp.209-213
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    • 2012
  • Purpose: This study was performed to develop a simple, disposable thin-film optical nitrate sensor. Methods: The sensor was fabricated by applying a nitrate-selective polymer membrane on the surface of a thin polyester film. The membrane was composed of polyvinylchloride (PVC), plasticizer, fluorescent dye, and nitrate-selective ionophore. Fluorescence intensity of the sensor increased on contact with a nitrate solution. The fluorescence response of the optical nitrate sensor was measured with a commercial fluorospectrometer. Results: The optical sensor exhibited linear response over four concentration decades. Conclusions: Nitrate ion concentrations in plant nutrient solutions can be determined by direct optical measurements without any conditioning before measurements.