• 제목/요약/키워드: Flow quality

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시계열 프레임워크를 이용한 효율적인 클라우드서비스 품질·성능 관리 방법 (An Efficient Cloud Service Quality Performance Management Method Using a Time Series Framework)

  • 정현철;서광규
    • 반도체디스플레이기술학회지
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    • 제20권2호
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    • pp.121-125
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    • 2021
  • Cloud service has the characteristic that it must be always available and that it must be able to respond immediately to user requests. This study suggests a method for constructing a proactive and autonomous quality and performance management system to meet these characteristics of cloud services. To this end, we identify quantitative measurement factors for cloud service quality and performance management, define a structure for applying a time series framework to cloud service application quality and performance management for proactive management, and then use big data and artificial intelligence for autonomous management. The flow of data processing and the configuration and flow of big data and artificial intelligence platforms were defined to combine intelligent technologies. In addition, the effectiveness was confirmed by applying it to the cloud service quality and performance management system through a case study. Using the methodology presented in this study, it is possible to improve the service management system that has been managed artificially and retrospectively through various convergence. However, since it requires the collection, processing, and processing of various types of data, it also has limitations in that data standardization must be prioritized in each technology and industry.

하천유지유량 추가 댐방류에 따른 한강유역의 수질 및 수생태계 건강성 변화 평가 (Assessment of changes on water quality and aquatic ecosystem health in Han river basin by additional dam release of stream maintenance flow)

  • 우소영;김성준;황순진;정충길
    • 한국수자원학회논문집
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    • 제52권spc2호
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    • pp.777-789
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    • 2019
  • 본 연구에서는 SWAT (Soil and Water Assessment Tool)을 이용하여 한강유역 ($34,148km^2$)내 다목적 댐(소양강댐, 횡성댐, 충주댐)의 하천유지유량 추가 방류 모의를 통한 유역의 수질 및 수생태계 건강성 변화를 평가하였다. 추가 방류기간은 수생태계 건강성 조사가 수행되는 봄(4-6월), 가을(8-10월)로 산정하였으며, 방류량은 댐의 기존 방류량에 비례하며 총 방류량이 댐별 고시된 하천유지유량을 초과하지 않도록 산정하였다. 하천 유지유량 방류에 따른 수질(T-N, $NH_4$, $NO_3-N$, T-P, $PO_4-P$) 농도는 봄철에 감소하지만 가을철에는 오히려 증가하는 것으로 모의되었다. 변화한 수질농도 데이터를 기존에 구축한 Random Forest 알고리즘에 적용하여 수생태계 건강성을 평가하였을 때, 유역의 하류에서 모든 수생태계 건강성 지수(FAI, TDI, BMI) 등급이 개선되는 것으로 분석되었다. 가을보다 봄에 하천유지유량 방류에 따른 수생태계 개선의 효과가 큰 것으로 나타났다.

오염원 산정단위 수준의 소유역 세분화를 고려한 새만금유역 수문·수질모델링 적용성 검토 (Developing Surface Water Quality Modeling Framework Considering Spatial Resolution of Pollutant Load Estimation for Saemangeum Using HSPF)

  • 성충현;황세운;오찬성;조재필
    • 한국농공학회논문집
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    • 제59권3호
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    • pp.83-96
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    • 2017
  • This study presented a surface water quality modeling framework considering the spatial resolution of pollutant load estimation to better represent stream water quality characteristics in the Saemangeum watershed which has been focused on keeping its water resources sustainable after the Saemangeum embankment construction. The watershed delineated into 804 sub-watersheds in total based on the administrative districts, which were units for pollutant load estimation and counted as 739 in the watershed, Digital Elevation Model (DEM), and agricultural structures such as drainage canal. The established model consists of 7 Mangyung (MG) sub-models, 7 Dongjin (DJ) sub-models, and 3 Reclaimed sub-models, and the sub-models were simulated in a sequence of upstream to downstream based on its connectivity. The hydrologic calibration and validation of the model were conducted from 14 flow stations for the period of 2009 and 2013 using an automatic calibration scheme. The model performance to the hydrologic stations for calibration and validation showed that the Nash-Sutcliffe coefficient (NSE) ranged from 0.66 to 0.97, PBIAS were -31.0~16.5 %, and $R^2$ were from 0.75 to 0.98, respectively in a monthly time step and therefore, the model showed its hydrological applicability to the watershed. The water quality calibration and validation were conducted based on the 29 stations with the water quality constituents of DO, BOD, TN, and TP during the same period with the flow. The water quality model were manually calibrated, and generally showed an applicability by resulting reasonable variability and seasonality, although some exceptional simulation results were identified in some upstream stations under low-flow conditions. The spatial subdivision in the model framework were compared with previous studies to assess the consideration of administrative boundaries for watershed delineation, and this study outperformed in flow, but showed a similar level of model performance in water quality. The framework presented here can be applicable in a regional scale watershed as well as in a need of fine-resolution simulation.

낙동강 지류·지천의 유량·수질 특성 및 하천관리를 위한 등급화 방안 연구 (Flow Rate·Water Quality Characteristics of Tributaries and a Grouping Method for Tributary Management in Nakdong River)

  • 나승민;임태효;이재운;권헌각;천세억
    • 한국습지학회지
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    • 제17권4호
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    • pp.380-390
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    • 2015
  • 본 연구에서는 낙동강 수계에 속한 지류 지천의 효율적인 유역선정 및 수질 개선방안을 모색하기 위해 38개 지류 지천을 대상으로 수질 및 유량 모니터링을 실시하였다. 2013~2014년 동안 실시한 수질 유량자료를 바탕으로, 수질현황 결과와 각 항목 사이 상관관계를 분석하였다. 더불어, 상관계수가 높고 총량 목표수질지표 항목인 생물화학적산소요구량($BOD_5$), 총인(TP) 지표를 이용하여 $BOD_5$농도/유량(Q), TP농도/유량 교차기준으로 지류 지천 등급화 방안을 실시하였다. 그 결과, $BOD_5$, $COD_{Mn}$, TP, TOC 등의 유기오염물질농도는 낙동왜관 및 낙동고령 중권역에 위치한 구미천, 경호천, 진전천, 기세곡천, 용하천, 용호천 등에서 하천환경기준 III 및 IV 등급 (5~8 mg/L 이하) 수준으로 높게 관찰되었다. Pearson 상관계수를 통한 수질항목 (12가지)간 상관관계 조사 결과 역시, $BOD_5$, $COD_{Mn}$, TP, TOC 등의 상관관계지수가 다른 수질항목들에 비하여 0.8 (p<0.01) 이상으로 높았다. 유량과 수질 ($BOD_5$, TP)항목을 활용하여 하천등급화를 실시한 결과, 유량 ($0.1m^3/s$ 이상)과 유기물 농도가 높은 ($BOD_5$ > 3.0 mg/L, TP > 0.1 mg/L) I 그룹의 하천(영산천, 구미천, 기세곡천, 용하천, 용호천, 미전천)이 우선수질개선 및 중점 관리가 필요한 것으로 나타났다.

R134a 및 Rl23과 비공비 혼합냉매 R134a/R123의 수평관내 이상유동양식에 관한 연구 (A Study on Two-Phase Flow Pattern of Pure Refrigerants R134a and Rl23 and Zeotropic Mixture R134a/R123 in Horizontal Tubular)

  • 임태우;김준효
    • 대한기계학회논문집B
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    • 제27권8호
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    • pp.1033-1041
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    • 2003
  • Two-phase flow pattern data during horizontal in-tube flow boiling are presented for pure and mixed refrigerants of R134a and Rl23, The flow pattern is observed through tubular sight glasses located at inlet and outlet of the test section, which is made of a stainless steel tube, 2m long with 10mm I.D., 1.5mm wall thickness. The obtained results are compared with the available various correlations for flow pattern. The flow pattern map of Hashizume was in good agreement with the present data except the region of low mass velocity. Weisman flow pattern map was also known to satisfactorily predict data for refrigerants in the region of annular flow. In this study, the flow pattern are simply classified into two groups; stratified(including intermittent, stratified and stratified-wavy) flow and annular flow. The transition quality from stratified to annular flow was obtained by modifying the liquid Froude number.

항공기 연료흐름분배기 장착 구조물 결함개선 연구 (Study on the Defect Improvement of Fuel Flow Proportioner Install Structure on Aircraft)

  • 최형준;이진원;최재호;박성제
    • 한국산학기술학회논문지
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    • 제21권4호
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    • pp.558-567
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    • 2020
  • 본 연구는 항공기 운용 중 발생하는 구조 결함의 원인을 분석하기 위해 연료흐름분배기 장착 구조물의 결함특성을 확인하고자 한다. 일반적으로 항공기 운용 중 발생하는 체계 진동과 구성품 단일 진동에 의해 구조 결함이 야기된다. 결함을 정의하고 설계 및 운용 분석으로 이어지는 과정을 통해 원인 규명 방법을 제시하고자 한다. 연료흐름분배기는 급격한 유량의 증가로 인한 압력의 변화로 발생되는 진동에 의해 지지구조의 결함이 발생되었다. 지지구조에 발생하는 하중 특성 및 파단면 분석을 통해 초기 균열이 반복하중으로 인해 피로균열이 발생하였다. 연료흐름분배기 지지구조 결함은 항공기 운용분석 결과 기종별 기동 및 비행시간은 균열과 직접적인 상관관계가 적고, 후기연소(A/B) 사용과 관련이 있다. 결함에 대한 개선을 위해 연료흐름분배기 하부 장착 Bracket의 균열 부위에 정적 및 수명해석을 통해 구조 보강형상을 확정하였다. 보강에 대한 분석 결과 구조 강도 최소 마진이 +0.15로 구조 건전성을 확인하였고, 구조 수명 분석결과 해당 부위에 응력이 15Ksi 이하로 작용하였으며 피로 수명이 7,700 Cycle 이상임을 확인하였다.

Effect of Farming Practices on Water Quality

  • 최중배;최예환
    • 한국농공학회지
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    • 제37권E호
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    • pp.63-71
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    • 1995
  • Three types of land use were investigated to describe the effect of land use on both surface and ground water quality. Typical land uses of a grazing pasture, Sudan grass field and paddy in Kangwon province were selected and flumes and monitoring wells were installed. Land managements were carefully monitored, water samples were collected periodically and analyzed with respect to nitrate, TP and TKN at a laboratory of Kangwon Provincial Institute of Health and Environment from August, 1993 to May, 1994. Runoff from the pasture was formed mostly with seeping subsurface flow in the lower areas of the pasture. A few overland flows were observed during heavy storms, and when it occurred, runoff increased sharply. For the Sudan grass field, runoff was formed with overland flow. Nitrate concentration in runoff from both land uses seemed not affected by runoff and ranged from 0.241 to 4.137mg'/1. TP and TKN concentrations from the pasture were affected by overland flow. When overland flow occurred, TP and TKN concentrations abruptly increased to 5.726 and 12.841mg/1, respectively, from less than 1.0mg/l. However, these concentrations from the Sudan grass field were quite stable ranging from 0.191 to 0.674mg/l for TP and 0A70 and 1.650mg/l for TKN. Nitrate concentration was significantly affected by land use(Sudan grass field) and the concentration increase reached about 2mg/l per lOOm ground water flow. Nitrate concentration from a well located in the middle of rice fields also was significantly higher than that measured from a well located relatively undisturbed mountain toe area. TP and TKN concentrations in shallow ground water affected by the depth of the monitoring wells. The deeper the monitoring wells, the less TP and TKN concentrations were measured.

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굴곡 융착면을 이용한 고밀도폴리에틸렌 관의 버트 융착 공정에서의 열유체 거동 수치모사 (Numerical Simulation of Heat and Flow Behaviors in Butt-fusion Welding Process of HDPE Pipes with Curved Fusion Surface)

  • 유재현;최선웅;안경현;오주석
    • Korean Chemical Engineering Research
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    • 제55권4호
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    • pp.561-566
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    • 2017
  • 폴리머 재질의 관을 융착 시키기 위해서는 버트 융착 공정을 거치는데, 최근 융착면에 굴곡을 주어 융착 강도를 높이고자 하는 시도가 있었다. 본 연구에서는 융착면의 굴곡이 폴리머의 열유체 거동 및 융착 강도에 어떠한 영향을 미칠 것인지 2차원 축대칭 평면에서 유한요소법을 사용하여 살펴보았으며, 고밀도폴리에틸렌 관을 대상으로 하였다. 열유화 단계에서 융착면의 형상을 따라 굴곡진 상경계면이 나타남을 확인할 수 있었다. 접합 단계에서는 굴곡진 상경계면과 융착면 사이에서의 멜트의 압착 흐름이 나타남을 확인할 수 있었으며, 굴곡융착부의 낮은 전단율은 관의 축과 수직 방향 배향을 완화시켜 융착부 강도 향상에 도움을 줄 수 있을 것으로 예상된다.

시계열 부하 곡선을 이용한 수체손상 평가 및 다변량 분석 -지석천 유역을 대상으로- (Evaluation of Impaired Waterbody and Multivariate Analysis Using Time Series Load Curve -in Jiseok Stream Watershed-)

  • 박진환;강태우;한성욱;백승권;강태구;유제철;김영석
    • 한국물환경학회지
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    • 제33권6호
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    • pp.650-660
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    • 2017
  • In this study, pollutant emission characteristics by water damage period analyzed 11 items (water temperature, pH, DO, EC, BOD, COD, TOC, SS, T-N, T-P and flow) with load duration curve, time series load curve and factor analysis for three years (2014-2016). Load duration curve is applied to judge the level of impaired waterbody and estimate impaired level by pollutants such as BOD and T-P in this study depending on variation of stream flow. Water quality standard exceeded the flow of mid-range and low-range by flow condition evaluation using load duration curve. This watershed was influenced by point source more than non-point source. Cumulative excess rate of BOD and T-P kept water quality standard for all seasons (spring, summer, autumn and winter) except BOD 59% in spring. Water quality changes were influenced by pollutants of basic environmental treatment facilities and agricultural areas during spring and summer. Results of factor analysis were classified commonly first factor (BOD, COD, and TOC) and second factor (flow, water temperature and SS). Therefore, effects of artificial pollutants and maintenance water must be controlled seasonally and reduced relative to water damage caused by point pollution sources with effluent standard strengthened in the target watershed.

Prediction of flow boiling heat transfer coefficient in horizontal channels varying from conventional to small-diameter scales by genetic neural network

  • Zhang, Jing;Ma, Yichao;Wang, Mingjun;Zhang, Dalin;Qiu, Suizheng;Tian, Wenxi;Su, Guanghui
    • Nuclear Engineering and Technology
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    • 제51권8호
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    • pp.1897-1904
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    • 2019
  • Three-layer back propagation network (BPN) and genetic neural network (GNN) were developed in this study to predict the flow boiling heat transfer coefficient (HTC) in conventional and small-diameter channels. The GNN has higher precision than BPN (with root mean square errors of 17.16% and 20.50%, respectively) and other correlations. The inputs include vapor quality x, mass flux G, heat flux q, diameter D and physical parameter φ, and the predicted flow boiling HTC is set as the outputs. Influences of input parameters on the flow boiling HTC are discussed based on the trained GNN: nucleate boiling promoted by a larger saturated pressure, a larger heat flux and a smaller diameter is dominant in small channels; convective boiling improved by a larger mass flux and a larger vapor quality is more significant in conventional channels. The HTC increases with pressure both in conventional and small channels. The HTC in conventional channels rises when mass flux increases but remains almost unaffected in small channels. A larger heat flux leads to the HTC growth in small channels and an increase of HTC was observed in conventional channels at a higher vapor quality. HTC increases inversely with diameter before dry out.