• Title/Summary/Keyword: intensive monitoring

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Application of a wireless pressure sensing system to coastal wind monitoring

  • Pinelli, J.P.;Subramanian, C.S.;Lapilli, C.;Buist, L.
    • Wind and Structures
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    • v.8 no.3
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    • pp.179-196
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    • 2005
  • This paper describes the application of a wireless data acquisition system to monitor wind pressures and velocities with absolute pressure sensors and an anemometer. The system was developed for future deployment, as part of a research effort currently underway to instrument coastal homes in Florida to monitor roof wind pressures during hurricanes. The proposed wireless system will replace the current system that involves a large amount of hardwired connections from the sensors to the data processing unit that requires labor intensive wiring and preparation of the home. The paper describes comparison studies and field tests to assess the performance of the system. The new system offers the advantages of light hardware, ease of installation, capacity for 48 hours of continuous data acquisition, good frequency and amplitude responses, and a relatively simple maintenance. However, the tests also show that the shape of the shell that has been previously used to protect the sensors might interfere with the proper measurement of the pressures.

Harnessing sparsity in lamb wave-based damage detection for beams

  • Sen, Debarshi;Nagarajaiah, Satish;Gopalakrishnan, S.
    • Structural Monitoring and Maintenance
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    • v.4 no.4
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    • pp.381-396
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    • 2017
  • Structural health monitoring (SHM) is a necessity for reliable and efficient functioning of engineering systems. Damage detection (DD) is a crucial component of any SHM system. Lamb waves are a popular means to DD owing to their sensitivity to small damages over a substantial length. This typically involves an active sensing paradigm in a pitch-catch setting, that involves two piezo-sensors, a transmitter and a receiver. In this paper, we propose a data-intensive DD approach for beam structures using high frequency signals acquired from beams in a pitch-catch setting. The key idea is to develop a statistical learning-based approach, that harnesses the inherent sparsity in the problem. The proposed approach performs damage detection, localization in beams. In addition, quantification is possible too with prior calibration. We demonstrate numerically that the proposed approach achieves 100% accuracy in detection and localization even with a signal to noise ratio of 25 dB.

A Study on Effective Management Scheme for Soil and Groundwater Contaminated by Radioactive Materials Due to Nuclear Accidents (원전사고에 따른 토양.지하수 방사성오염의 효과적인 관리 연구)

  • Kim, Hee-Joo;Hyun, Yun-Jung;Kim, Young-Ju;Hwang, Sang-Il
    • Journal of Soil and Groundwater Environment
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    • v.16 no.6
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    • pp.113-121
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    • 2011
  • In this study, we suggested the management scheme of analyzing the national and oversea related policy against soil and groundwater contamination by radioactive materials due to nuclear accidents. In Korea, we need to remedy swiftly the contaminated land due to intensive land development demand. So, we need to develop more effective management scheme to recover actively the land contaminated by radioactive materials. We require to improve monitoring network, to expand media-specific monitoring system, to prepare management system for remediation of contaminated land, and to develop flow work for soil and groundwater remediation.

A Vector Instruction-based RISC Architecture for a Photovoltaic System Monitoring Camera

  • Choi, Youngho;Ahn, Hyungkeun
    • Transactions on Electrical and Electronic Materials
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    • v.13 no.6
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    • pp.278-282
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    • 2012
  • Photovoltaic systems have emerged to be one of the cleanest energy systems. Therefore, many large scale solar parks and PV farms have been built to prepare for the post fossil fuel ages. However, due to their large scale, to efficiently manage and operate PV systems, they need to be visually monitored within the range of infrared ray through the Internet. To satisfy this need, the efficient implementation of a high performance video compression standard is required. This paper therefore presents an implementation of H.264 motion estimation, which is one of the most data-intensive and complicated functions in H.264. To achieve this, this work implements vector instructions in hardware and incorporates them in a generic RISC processor architecture, thus increasing the processing speed while minimizing hardware and software design efforts. Extensive simulation results show that this proposed implementation can process motion estimations up to 13 times faster.

Present State and Strategies on Environmental Pollution by Animal Wastes (축산분뇨에 의한 환경오염현황과 대책)

  • 이명규;이재일
    • Journal of Animal Environmental Science
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    • v.2 no.1
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    • pp.63-78
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    • 1996
  • The main purpose of this research project is to monitor the present state of agricultural environment and to develope the countermeasures for the protection of the environment from the pollution by animal wastes. The results of this research were described largely 3 parts, 1) Monitoring of present state of environmental pollution by animal wastes, 2) Monitoring of animal wastes treatment technology, 3) Strategies for the protection of environmental pollution from animal wastes in future. The current most important problems from animal wastes are water pollution and air pollution commonly regardless of domestic or foreign country. Especially, intensive livestocks breeding pattern in restricted area is actually a real reason of eutrophication, soil acidification, ground water contamination, irrigation water pollution. As a result from this research project, authors recommend the 3 type of strategies for the protection of environmental pollution by animal wastes, 1 . Development of non-discharge type of wastes treatment technology 2. Manufacturing local structure for animal waste recycling system 3. Development of new international environmental program for transfer bioresource and soil environment prevention.

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Vibration-based structural health monitoring for offshore wind turbines - Experimental validation of stochastic subspace algorithms

  • Kraemer, Peter;Friedmanna, Herbert
    • Wind and Structures
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    • v.21 no.6
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    • pp.693-707
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    • 2015
  • The efficiency of wind turbines (WT) is primarily reflected in their ability to generate electricity at any time. Downtimes of WTs due to "conventional" inspections are cost-intensive and undesirable for investors. For this reason, there is a need for structural health monitoring (SHM) systems, to enable service and maintenance on demand and to increase the inspection intervals. In general, monitoring increases the cost effectiveness of WTs. This publication concentrates on the application of two vibration-based SHM algorithms for stability and structural change monitoring of offshore WTs. Only data driven, output-only algorithms based on stochastic subspace identification (SSI) in time domain are considered. The centerpiece of this paper deals with the rough mathematical description of the dynamic behavior of offshore WTs and with the basic presentation of stochastic subspace-based algorithms and their application to these structures. Due to the early stage of the industrial application of SHM on offshore WT on the one side and the required confidentiality to the plant manufacturer and operator on the other side, up to now it is not possible to analyze different isolated structural damages resp. changes in a systematic manner, directly by means of in-situ measurement and to make these "acknowledgements" publicly available. For this reason, the sensitivity of the methods for monitoring purposes are demonstrated through their application on long time measurements from a 1:10 large scale test rig of an offshore WT under different conditions: undamaged, different levels of loosened bolt connections between tower parts, different levels of fouling, scouring and structure inclination. The limitation and further requirements for the approaches and their applicability on real foundations are discussed along the paper.

A Real-time Monitoring and Modeling of Turbidity Flow into a Reservoir (실시간 저수지 탁수 감시 및 예측 모의)

  • Chung, Se-Woong;Ko, Ick-Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.1184-1188
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    • 2005
  • The impacts of turbidity flow induced by summer rainfall events on water supply, aquatic ecosystems, and socioeconomics are significant and major concerns in most of reservoirs operations. As a decision support tool, the real-time turbidity flow monitoring and modeling system RTMMS is under development using a laterally integrated two-dimensional (2D) hydrodynamic and water quality model. The objectives of this paper is to present the preliminary field observation results on the characteristics of rainfall-induced turbidity flows and their density flow regimes, and the model performance in replicating the fate and transport of turbidity plume in a reservoir. The rainfall-induced turbidity flows caused significant drop of river water temperature by 5 to $10^{\circ}C$ and resulted in density differences of 1.2 to $2.6kg/m^3$ between inflow water and ambient reservoir water, which consequently led development of density flows such as plunge flow and interflow in the reservoir. The 2D model was set up for the reservoir. and applied to simulate the temperature stratification, density flow regimes, and temporal and spatial turbidity distributions during flood season of 2004 After intensive refinements on grid resolutions , the model showed efficient and satisfactory performance in simulating the observed reservoir thermal stratification and turbidity profiles that all are essentially required to enhance the performance of RTMMS.

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Sensor placement for structural health monitoring of Canton Tower

  • Yi, Ting-Hua;Li, Hong-Nan;Gu, Ming
    • Smart Structures and Systems
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    • v.10 no.4_5
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    • pp.313-329
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    • 2012
  • A challenging issue in design and implementation of an effective structural health monitoring (SHM) system is to determine where a number of sensors are properly installed. In this paper, research on the optimal sensor placement (OSP) is carried out on the Canton Tower (formerly named Guangzhou New Television Tower) of 610 m high. To avoid the intensive computationally-demanding problem caused by tens of thousands of degrees of freedom (DOFs) involved in the dynamic analysis, the three dimension finite element (FE) model of the Canton Tower is first simplified to a system with less DOFs. Considering that the sensors can be physically arranged only in the translational DOFs of the structure, but not in the rotational DOFs, a new method of taking the horizontal DOF as the master DOF and rotational DOF as the slave DOF, and reducing the slave DOF by model reduction is proposed. The reduced model is obtained by IIRS method and compared with the models reduced by Guyan, Kuhar, and IRS methods. Finally, the OSP of the Canton Tower is obtained by a kind of dual-structure coding based generalized genetic algorithm (GGA).

Derivation of Threshold Values for Groundwater in Romania, in order to Distinguish Point & Diffuse Pollution from Natural Background Levels

  • Radu, E.;Balaet, Ruxandra;Vliegenthart, F.;Schipper, P.
    • Environmental Engineering Research
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    • v.15 no.2
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    • pp.85-91
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    • 2010
  • Romania aims to adopt and implement the European Union's legislation, also including that for the field of water management. Like other countries, groundwater in Romania is locally polluted from point sources, such as leaking landfills, as well as from diffuse pollution sources, include fertilizers, pesticides and leakages from sewers, in urbanized areas. Diffuse pollution can also occur indirectly, by over-exploitation of groundwater wells, resulting in salt water intrusion, as well as from mining and exploitation of mineral aggregates. Romania has quite an intensive monitoring scheme to measure groundwater quality in phreatic and confined aquifers. The purpose of the work resumed in this paper was to derive natural background levels (NBL) for groundwater in order to distinguish the natural elevated concentrations of some substances (natural phenomena) from point and diffuse pollution (anthropogenic phenomena). Based on these NBLs, threshold values (TV) for groundwater will be set according to the requirements of the European Water Framework Directive and the related Groundwater Directive. This paper describes the results of a study for the derivation of NBL and TV in a pilot Groundwater Body. Also, the process and draft results for extrapolating this work for all Romanian groundwater bodies is explained, as well as points for future consideration with respect to monitoring and management.

Development of Labor Management System Based on RFID Technology for Construction Field (RFID기술을 활용한 건설현장의 노무관리시스템 프로토타입구축)

  • Han, Jae-Goo;Kwon, Soon-Wook;Cho, Moon-Young
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.853-858
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    • 2007
  • Construction industry is traditionally labor intensive. And construction site is also in densely populated environment. So accurate labor monitoring is one of important issues for site management. Labor cost shares large amount of part in total construction cost. Therefore, it is a major element in site management and control. In this article, we explained development of prototype system for labor monitoring based on RFID technology and results of field tests using the system. According to the results, the system is able to expected to improve effectiveness of Labor management in construction site

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