• 제목/요약/키워드: Plant Architecture

검색결과 1,430건 처리시간 0.026초

A Comparative Analysis of Risk Assessment Depending on International Project Types (플랜트, 건축, 토목 공종별 해외건설 리스크평가 비교분석)

  • Baek, Seungwon;Han, Seung-Heon;Jung, Wooyong
    • Korean Journal of Construction Engineering and Management
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    • 제20권5호
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    • pp.125-136
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    • 2019
  • This study investigated checked risk level before bid, actual risk level after award, contingency, and cost growth rate in the 124 international construction projects executed by Korean major companies. This study conducted comparative analysis by product type using rank analysis, ANOVA and correlation analysis. As a result, plant and civil projects have worse risk level than architecture projects not only in before bid but also in after award. Especially, country risk is the worst risk in both plant and civil projects, followed by project risk and capability risk. Also, although plant and civil projects reflect more contingency than architecture projects, contingency is not correlated with the checked risk level before bid. Lastly, the cost growth rate is correlated with the actual risk level in all product types. This study is expected to support in planning better practical risk management for international construction projects.

Evaluation of Properties of Mortar and Concrete using Wood Chip Cogeneration Plant Flooring as Fine Aggregate (목재칩 열병합 발전소 바닥재를 잔골재로 활용한 모르타르 및 콘크리트 특성 평가)

  • Kang, Suk-Pyo;Hong, Seong-Uk
    • Journal of the Korean Recycled Construction Resources Institute
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    • 제10권3호
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    • pp.327-334
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    • 2022
  • In this study, in order to evaluate the characteristics of mortar and concrete using wood chip cogeneration plant flooring as fine aggregate, mortar characteristics according to wood chip aggregate replacement rate and water-cement ratio as a substitute for crushed sand, and concrete characteristics according to wood chip aggregate replacement rate were compared and evaluated. The cement mortar flow according to the wood chip aggregate replacement rate showed a tendency to increase as the wood chip aggregate replacement rate increased, and the compressive strength and flexural strength increased as the wood chip aggregate replacement rate increased. The slump and air content of concrete increased as the aggregate replacement rate increased, and the compressive strength and tensile splitting strength of concrete tended to increase as the wood chip aggregate replacement rate increased. Accordingly, the possibility of using the flooring by the cogeneration plant as a fine aggregate for concrete was confirmed.

A Study on Plant Training System Platform for the Collaboration Training between Operator and Field Workers (운전자와 현장조업자의 협동훈련을 위한 플랜트 훈련시스템 플랫폼 연구)

  • Lee, Gyungchang;Chung, Kyo-il;Mun, Duhwan;Youn, Cheong
    • Korean Journal of Computational Design and Engineering
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    • 제20권4호
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    • pp.420-430
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    • 2015
  • Operator Training Simulators (OTSs) provide macroscopic training environment for plant operation. They are equipped with simulation systems for the emulation of remote monitoring and controlling operations. OTSs typically provide 2D block diagram-based graphic user interface (GUI) and connect to process simulation tools. However, process modeling for OTSs is a difficult task. Furthermore, conventional OTSs do not provide real plant field information since they are based on 2D human machine interface (HMI). In order to overcome the limitation of OTSs, we propose a new type of plant training system. This system has the capability required for collaborative training between operators and field workers. In addition, the system provides 3D virtual training environment such that field workers feel like they are in real plant site. For this, we designed system architecture and developed essential functions for the system. For the verification of the proposed system design, we implemented a prototype training system and performed experiments of collaborative training between one operator and two field workers with the prototype system.

Study on Radioactive Contamination of Plant Nearby Nuclear Power Plant - Focused on Pinus thunbergii Parl. and Viburnum awabuki K. KOCH - (원전주변 지역 식물의 방사능 오탁에 관한 연구 - 해송과 아왜나무를 대상으로 -)

  • Kang, Tai-Ho;Zhao, Hong-Xia;Jeong, Jin-Wook;Kook, Seong-Do
    • Journal of the Korean Society of Environmental Restoration Technology
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    • 제16권3호
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    • pp.55-62
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    • 2013
  • Generally, the radioactivity from NPP(Nuclear Power Plants) operation can be released below 3% of DRLs(Derived Release Limits) to environment. It was tried to understand which plant was efficient for absorbing radioactivity in this study. Pinus thunbergii Parl. and Viburnum awabuki K. KOCH were analyzed for radioisotope absorption. The samples were collected at three different locations depending on the distance from NPP at the vicinity 10km away, and 30km away. Gamma radionuclide was not detected from the samples, which means that the direct transition into the plant was not significant. Meanwhile, the very low level of radioactive tritium was detected in the samples. One remark was that every plant has different ability for tritium absorption. These results are expected to be applied to propagation and transplanting in radioactively contaminated area or reducing radioactivity in the soil and water near the plants.

Dominant Species and Factors Related with Plant Coverage in the Cutting Slopes of Forest Road -In Jeollabuk-do Region­- (임도 절토비탈면의 우점식물과 식물피복에 미치는 인자들의 영향 -­전라북도를 대상으로­-)

  • Park, Moon-Su
    • Journal of the Korean Society of Environmental Restoration Technology
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    • 제5권1호
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    • pp.19-27
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    • 2002
  • To investigate the dominant species and factors related with plant coverage by road structures and forest environment factors, forest roads elapsed from one year to twelve year after construction had been selected in six county(Gochang-gun, Muju-gun, Imsil-gun, Jangsu-gun, Jeongup-shi and Jinan-gun), and 20m segments were continuously set up in each road. The results obtained from this study are summarized as follows: The species diversity of Gochang, Muju, Imsil, Jangsu, Jeongup and Jinan were 1.304, 1.267, 1.308, 1.193, 1.289 and 1.018, respectively. In process of years, plant coverage was increased gradually and average of plant coverage was 15.3% in forest roads which elapsed three year, and was 86.5% in forest roads which elapsed nine year after construction. The dominant species in the cutting slope of surveyed area were covered with Arundinella hirta, Pinus rigida, Miscanthus sinensis var. purpurascens, Artemisia princeps var. orientalis, Pinus densiflora, Oplismenus undulatifolius, Rubus coreanus, Lysimachia clethroides, Lespedeza bicolor, and Alnus hirsuta of the 152 species. The high correlated factors between plant coverage and variables in cutting slopes appeared elapsed year, soil hardness, mean annual precipitation, vertical grade, inslope and arid humidity in surveyed area.

Improved Deep Residual Network for Apple Leaf Disease Identification

  • Zhou, Changjian;Xing, Jinge
    • Journal of Information Processing Systems
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    • 제17권6호
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    • pp.1115-1126
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    • 2021
  • Plant disease is one of the most irritating problems for agriculture growers. Thus, timely detection of plant diseases is of high importance to practical value, and corresponding measures can be taken at the early stage of plant diseases. Therefore, numerous researchers have made unremitting efforts in plant disease identification. However, this problem was not solved effectively until the development of artificial intelligence and big data technologies, especially the wide application of deep learning models in different fields. Since the symptoms of plant diseases mainly appear visually on leaves, computer vision and machine learning technologies are effective and rapid methods for identifying various kinds of plant diseases. As one of the fruits with the highest nutritional value, apple production directly affects the quality of life, and it is important to prevent disease intrusion in advance for yield and taste. In this study, an improved deep residual network is proposed for apple leaf disease identification in a novel way, a global residual connection is added to the original residual network, and the local residual connection architecture is optimized. Including that 1,977 apple leaf disease images with three categories that are collected in this study, experimental results show that the proposed method has achieved 98.74% top-1 accuracy on the test set, outperforming the existing state-of-the-art models in apple leaf disease identification tasks, and proving the effectiveness of the proposed method.

Plant-Parasitic Nematode Genera Associated with Turfgrass in Maryland Golf Courses and Athletic Fields

  • Fereshteh Shahoveisi;Benjamin Waldo
    • The Plant Pathology Journal
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    • 제40권3호
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    • pp.272-281
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    • 2024
  • Field surveys were conducted to assess the occurrence and diversity of plant-parasitic nematodes (PPNs) in golf courses and athletic fields across Maryland, USA, during 2022 and 2023. A total of 28 golf courses and ten athletic fields were surveyed, revealing the prevalence and abundance of 13 PPNs taxa in the region. Criconemoides was identified as the most prevalent (94.9%) and Tylenchorhynchus as the most abundant (2.3) across all samples. Central golf courses (west side of the Chesapeake Bay) exhibited a high prevalence of Criconemoides and Tylenchorhynchus, while Eastern Shore golf courses and athletic fields displayed a higher prevalence of Helicotylenchus and Criconemoides. Further, Belonolaimus longicaudatus was reported for the first time from turfgrass in Maryland, raising concerns due to its potential to cause severe damage on both cool- and warm-season turfgrass. Biodiversity analysis indicated that richness (R2) was higher in athletic fields, while diversity (H') and evenness (J') were significantly greater in golf courses. This study provides baseline information for monitoring PPNs distribution in Maryland and also for the development of effective nematode management approaches in turfgrass ecosystems.

Integrated engineering environment for the process FEED of offshore oil and gas production plants

  • Hwang, Ji-Hyun;Roh, Myung-Il;Lee, Kyu-Yeul
    • Ocean Systems Engineering
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    • 제2권1호
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    • pp.49-68
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    • 2012
  • In this paper, an offshore process front end engineering design (FEED) method is systematically introduced and reviewed to enable efficient offshore oil and gas production plant engineering. An integrated process engineering environment is also presented for the topside systems of a liquefied natural gas floating production, storage, and offloading (LNG FPSO) unit, based on the concepts and procedures for the process FEED of general offshore production plants. Various activities of the general process FEED scheme are first summarized, and then the offshore process FEED method, which is applicable to all types of offshore oil and gas production plants, is presented. The integrated process engineering environment is presented according to the aforementioned FEED method. Finally, the offshore process FEED method is applied to the topside systems of an LNG FPSO in order to verify the validity and applicability of the FEED method.

Carbon Storage and Uptake by Street Trees in Seoul

  • Jo, Hyun-Kil;Kim, Jin-Young;Park, Hye-Mi
    • Journal of Forest and Environmental Science
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    • 제34권2호
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    • pp.162-164
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    • 2018
  • This study quantified the carbon storage and uptake by street trees in Seoul and explored suitable planting and management strategies. A systematic sampling model was used to select 50 plots to survey the structures of street trees. The average density and cover of street trees were approximately 5.8 trees/$100m^2$ and 12.1%, respectively. Trees with a dbh of less than 30 cm accounted for about 66.3% of the total number of trees surveyed. The total carbon storage and uptake by the street trees were approximately 103,641 t and 10,992 t/yr, respectively. The total carbon uptake equaled the amount of annual carbon emissions from driving of about 11,000 cars. Street tree planting and management strategies were proposed to enhance carbon uptake. They included multi-layered and multi-aged planting, securing ground and space for plant growth, and avoiding excessive tree pruning.

Hybrid App Software Architecture for Smart Welding System (스마트 용접기 시스템을 위한 하이브리드 앱 소프트웨어 구조 설계)

  • Yi, Aaron Ling Chi;Kang, Dae-Ki
    • Proceedings of the Korean Information Science Society Conference
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    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(B)
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    • pp.48-50
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    • 2012
  • Migrating and enhancing welding system into smart device based system is one of most important issues in ship manufacturing and maritime plant industries. In this paper, we propose and discuss the design and development of software architecture for smart welding system. Firstly, we introduce hybrid app development environments, because hybrid app development is more efficient and developer-friendly than native app development. Secondly, we show an essential subset of potential screen shots, software architecture diagrams and data flow diagrams(DFD) for our smart welding system proposal. Finally, we conclude the discussion of design choices and future work.