• Title/Summary/Keyword: $CO_2$ 모니터링

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Process Monitoring in Laser Beam Cutting by Photo Diode (레이저 절단에서 광소자를 이용한 가공공정 모니터링)

  • Chang, Ook-Jin;Kim, Bong-chae;Kim, Jae-Do
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.12
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    • pp.30-37
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    • 1996
  • On-line process control equipment for CO$_{2}$ laser cutting is not available for industrial applications. The major part of the industrial laser cutting machines are adjusted off-line by highly educated engineers. The quality inspection of the sample is visual and referred to different quality scales. Due to the lack of automation the potential laser users hesitate to implement the cutting method. The first step toward an automation of the process is the development of a process monitoring system and the research is cincentrated on the area of on-line quality monitoring during CO$_{2}$ laser cutting. The method is based on the detection of the emitted light from the cutting front by photo diode. The developed monitoring system consists of the OP Amplifier, A/D convertor, power supply and PC. The signal from the photo diode has been undertaken from Fourier analysis and statistical analysis with real time. The photograph of striation pattern was taken by metallurgical microscope. As a result, it is possible to predict the striation pattern according to the beam traveling speed.

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Development of Smart Platform based on MQTT (MQTT 기반 스마트 플랫폼 개발)

  • Kim, Gwan-hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.283-284
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    • 2021
  • The domestic and overseas IoT (Internet of Things)-based automation industry is developing remarkably, and the development of this automation technology is further accelerated by the development of sensor technology. In recent years, the smart farm industry for the purpose of growing crops based on various sensor technologies is rapidly developing. In the case of smart farms, real-time monitoring and mobile services are provided by measuring representative environmental data such as temperature, humidity, and CO2 required for crop cultivation. Most of these environmental monitoring and control operations use the RS-485-based Modbus (RTU) communication method. In this paper, we intend to test the performance of sensor data and actuator information required for smart farm construction by building a platform for controlling sensor data and actuators based on LabView using MQTT (Message Queuing Telemetry Transport), an IoT standard protocol.

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기판후면 온도 모니터링 및 Fluxmeter를 이용한 CIGS 박막 제조와 고효율 태양전지로의 응용연구

  • Kim, Eun-Do;Jo, Seong-Jin
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.02a
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    • pp.668-668
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    • 2013
  • CIGS 박막태양전지는 다른 박막태양전지에 비해 높은 에너지 변환효율을 보이고 있으며, 광범위한 기술 응용분야를 가지고 있다. CIGS를 광흡수층으로 하는 태양전지의 구조는 5개의 단위박막(배면전극, 광흡수층, 버퍼층, 앞면 투명전극, 반사방지막)을 순차적으로 형성시켜 만든다. 단위박막별로 다양한 종류의 재료와 조성, 또한 제조방법에서는 갖가지 물리적, 화학적 박막 제조방법이 사용된다. 현재 광흡수층인 CIGS층의 경우 동시증발법과 스퍼터링법이 높은 효율을 보이고 있다. 본 연구에서는 CIGS층을 3-stage process를 적용한 동시증발법을 사용하였고, Fluxmeter와 기판후면 온도 모니터링을 이용하여 제조하였으며, 버퍼층은 moving 스퍼터링 법으로 ZnS를 증착하였고, 투명전극층은 PLD (Pulsed Laser Deposition)를 이용하여 제조하였다. 가장 높은 광변환효율을 보인 Al/ZnO/CdS/Mo/SLG박막시료는 유효면적 0.45 $cm^2$에 광변환효율 15.71%, Jsc: 33.64 mA/$cm^2$, Voc: 0.64 V, FF: 73.18%를 얻을 수 있었으며, CdS를 ZnS로 대체한 Al/ZnO/ZnS/Mo/SLG 박막시료는 유효면적 0.45 $cm^2$에 광변환효율 12.13%, Jsc: 33.22 mA/$cm^2$, Voc: 0.60 V, FF: 62.85%를 얻을 수 있었다.

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Design and Implementation of Integration Control Monitoring System for Fully Artificial Plant Factory based on Sensor Network (센서 네트워크 기반 완전제어형 식물공장의 통합 제어 모니터링 시스템 설계 및 구현)

  • Kim, Hyung-Sun;Kwon, Sook-Youn;Ryu, Jae-Bok;Yu, Tae-Hwan;Lim, Jae-Hyun
    • Proceedings of the KAIS Fall Conference
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    • 2011.12b
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    • pp.679-682
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    • 2011
  • 본 논문에서는 완전제어형 식물공장에서 작물이 생육하는데 필요한 재배환경들의 모니터링 및 제어가 가능한 센서 네트워크 기반의 식물공장 통합 제어 시스템을 설계 및 구축한다. 제안한 시스템은 완전제어형 식물공장에서 각 재배단의 환경 정보를 수집하기 위해 통합 환경정보 센서 및 전력 제어 센서를 설치하고, 통합 컨트롤러를 통해 LED 조명의 제어가 가능하도록 설계 하였다. 환경정보 센서는 온도, 습도, CO2의 데이터가 실시간으로 수집되며 전력제어 센서는 실시간 사용되는 전력량 데이터가 수집 가능하며 센서를 통해 전력의 차단 및 공급이 가능하도록 설계 하였다. 본 시스템은 크게 모니터링과 제어로 구분되며 테스트 베드의 구축을 통해 실시간 환경정보 센서 데이터 수집이 가능하고, LED 조명 및 전력을 제어가 가능함을 확인하였다.

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A Water Environment Monitering System using the RISC Sensor Network Node (RISC 센서 네트워크 노드를 이용한 수질환경 분석 모니터링 시스템)

  • Kim, Seok-Hun;Sung, Kyung
    • Journal of Advanced Navigation Technology
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    • v.12 no.2
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    • pp.109-114
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    • 2008
  • As the Ubiquitous times approach, an interest regarding a Ubiquitous sensor network to be the only during key technology is rising. Currently, The fast development which radio communication technique is creating new services from the industry sector which is various from convenient characteristic and the ease characteristic side. Specially, rise and development of the radio communication technique which is various from environment monitor ring field makes to be improved about sharp curtailment of establishment and logistics relation expense, and collection period of the data which occurs real-time from site, reliability and delivery characteristic. But continuous application and the success about the environment monitor ring field of radio communication technique will be able to trust And It is important to provide time information which is appropriate real-time.

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Vision-based Real-Time Traffic Emission Monitoring System (비전 기반의 실시간 대기오염 모니터링 시스템 개발)

  • Shin, Yunhee;Jung, Jinwoo;Yoo, Daewon;Park, Dongsoo;Kim, Eun Yi;Woo, Jung-Hun;Lim, Sang-Beom;Ju, Jin-Seon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.439-442
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    • 2010
  • 본 논문에서는 비전 기반의 실시간 대기오염 모니터링 시스템을 제안한다. 제안된 시스템은 먼저 실시간으로 제공되는 동영상을 분석하여 차종 별 대수와 평균속도 등의 교통 파라미터를 실시간으로 추출하고, 이를 바탕으로 대기 중의 CO, NO2등의 밀도를 추정하여 시간대별 대기 오염도를 모니터링 한다. 이를 위해 제안된 시스템은 배경모델을 이용한 차량 추출, 차종 별 윤곽선 및 크기 정보를 이용하여 템플릿 기반으로 차종을 인식하고 이를 추적하여 대수 및 속도를 인식한다. 제안된 시스템의 평가를 위해 교통이 밀집된 공간에 설치하여 테스트하였고, 실제 결과와 비교한 결과, 차량 속도에서 정확도 83.3%, 차종인식에서 정확도 86.98%를 보였다. 이러한 실험 결과는 제안된 시스템이 다양한 지역에서 실시간 대기오염물질 배출량을 산정하는데 적용될 수 있음을 보여주었다.

Applicability Evaluation of Deep Learning-Based Object Detection for Coastal Debris Monitoring: A Comparative Study of YOLOv8 and RT-DETR (해안쓰레기 탐지 및 모니터링에 대한 딥러닝 기반 객체 탐지 기술의 적용성 평가: YOLOv8과 RT-DETR을 중심으로)

  • Suho Bak;Heung-Min Kim;Youngmin Kim;Inji Lee;Miso Park;Seungyeol Oh;Tak-Young Kim;Seon Woong Jang
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1195-1210
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    • 2023
  • Coastal debris has emerged as a salient issue due to its adverse effects on coastal aesthetics, ecological systems, and human health. In pursuit of effective countermeasures, the present study delineated the construction of a specialized image dataset for coastal debris detection and embarked on a comparative analysis between two paramount real-time object detection algorithms, YOLOv8 and RT-DETR. Rigorous assessments of robustness under multifarious conditions were instituted, subjecting the models to assorted distortion paradigms. YOLOv8 manifested a detection accuracy with a mean Average Precision (mAP) value ranging from 0.927 to 0.945 and an operational speed between 65 and 135 Frames Per Second (FPS). Conversely, RT-DETR yielded an mAP value bracket of 0.917 to 0.918 with a detection velocity spanning 40 to 53 FPS. While RT-DETR exhibited enhanced robustness against color distortions, YOLOv8 surpassed resilience under other evaluative criteria. The implications derived from this investigation are poised to furnish pivotal directives for algorithmic selection in the practical deployment of marine debris monitoring systems.

Time-lapse crosswell seismic tomography for monitoring injected $CO_2$ in an onshore aquifer, Nagaoka, Japan (일본 Nagaoka의 육상 대수층에 주입된 $CO_2$의 관찰을 위한 시간차 시추공간 탄성파 토모그래피)

  • Saito, Hideki;Nobuoka, Dai;Azuma, Hiroyuki;Xue, Ziqiu;Tanase, Daiji
    • Geophysics and Geophysical Exploration
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    • v.9 no.1
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    • pp.30-36
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    • 2006
  • Japan's first pilot-scale $CO_2$ sequestration experiment has been conducted in Nagaoka, where 10400 t of $CO_2$ have been injected in an onshore aquifer at a depth of about 1100 m. Among various measurements conducted at the site for monitoring the injected $CO_2$, we conducted time-lapse crosswell seismic tomography between two observation wells to determine the distribution of $CO_2$ in the aquifer by the change of P-wave velocities. This paper reports the results of the crosswell seismic tomography conducted at the site. The crosswell seismic tomography measurements were carried out three times; once before the injection as a baseline survey, and twice during the injection as monitoring surveys. The velocity tomograms resulting from the monitoring surveys were compared to the baseline survey tomogram, and velocity difference tomograms were generated. The velocity difference tomograms showed that velocity had decreased in a part of the aquifer around the injection well, where the injected $CO_2$ was supposed to be distributed. We also found that the area in which velocity had decreased was expanding in the formation up-dip direction, as increasing amounts of $CO_2$ were injected. The maximum velocity reductions observed were 3.0% after 3200 t of $CO_2$ had been injected, and 3.5% after injection of 6200 t of $CO_2$. Although seismic tomography could map the area of velocity decrease due to $CO_2$ injection, we observed some contradictions with the results of time-lapse sonic logging, and with the geological condition of the cap rock. To investigate these contradictions, we conducted numerical experiments simulating the test site. As a result, we found that part of the velocity distribution displayed in the tomograms was affected by artefacts or ghosts caused by the source-receiver geometry for the crosswell tomography in this particular site. The maximum velocity decrease obtained by tomography (3.5%) was much smaller than that observed by sonic logging (more than 20%). The numerical experiment results showed that only 5.5% velocity reduction might be observed, although the model was given a 20% velocity reduction zone. Judging from this result, the actual velocity reduction can be more than 3.5%, the value we obtained from the field data reconstruction. Further studies are needed to obtain more accurate velocity values that are comparable to those obtained by sonic logging.

A Study on Heating Energy Monitoring of a Rural Detached House Applying Passive House Design Components (패시브 하우스 디자인 요소를 적용한 농촌지역 단독주거건물의 난방에너지 모니터링 연구)

  • Cho, Kyung-Min;Lee, Tae-Goo;Han, Young-Hae
    • KIEAE Journal
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    • v.13 no.2
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    • pp.39-46
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    • 2013
  • Recently, the field of construction is putting a variety of effort into reducing CO2, since global warming is being accelerated due to climate changes and the increase of greenhouse gas. For reduction of CO2 in the field of construction, it is required to make plans to cut down heating energy of buildings and especially, it is urgently needed to cut down energy of residential buildings in rural area where occupies the majority of consumption of petroleum-based energy sources. Therefore, this research compared and analyzed the actual energy consumption, by evaluating energy performance of a detached house applying passive house design components for reduction of energy. As the result, energy consumption showed remarkable differences, according to the operation of a heat recovery ventilation unit which is one of passive house design components, and building energy consumption displayed remarkable differences, too, depending on the difference of airtightness performance during building energy simulation conducted in process of design. Based on these results, the importance of airtightness performance of passive house was verified. The result of the actual measurement of energy consumption demonstrated that LNG was most economical amongst several heat resources yielded, on the basis of LPG source energy consumption measured within a certain period of time, and it was followed by kerosene. LPG was analyzed to have a low economic efficiency, when used for heating.

Design and Implementation of LED Control System based on Context-Awareness for Plant Cultivation (상황인식기반 식물재배용 LED 제어시스템 설계 및 구현)

  • Yu, Tae-Hwan;Ryu, Jae-Bok;Kwon, Sook-Youn;Lim, Jae-Hyun
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06d
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    • pp.459-461
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    • 2012
  • 본 논문에서는 식물재배기에 유입되는 조도 정보를 자동 센싱하여 대상 식물의 생육에 적합한 목표조도와 비교과정을 거쳐 LED의 밝기를 지능적으로 제어하기 위한 상황인식기반의 식물재배용 LED 제어 시스템을 구현하고자 한다. 먼저 식물 생육 환경 모니터링을 위해 조도, 온도, 습도, CO2 등의 이기종 센서들을 ZigBee 기반의 통합센서 형태로 설계 및 제작하고, GUI기반의 모니터링 시스템을 구현하여 실시간으로 식물 생육 환경 정보를 수집한다. 데이터베이스에 저장되어 있는 재배대상식물의 표본데이터 중 광보상과 광포화 정보를 기준으로 상황에 따라 변화하는 외부 조도정보와 비교하여 LED 인공광의 밝기를 시스템에 의한 자율 처리에 의해 지능적으로 제어함으로써 불필요한 조명 에너지 소비를 절감하고자 한다.