2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings最新文献_第4页

Forecasting and monitoring wet-snow sleeve on overhead power lines in Italy 预报和监测意大利架空电力线的湿雪套筒

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175856

M. Lacavalla, P. Marcacci, A. Frigerio

{"title":"Forecasting and monitoring wet-snow sleeve on overhead power lines in Italy","authors":"M. Lacavalla, P. Marcacci, A. Frigerio","doi":"10.1109/EESMS.2015.7175856","DOIUrl":"https://doi.org/10.1109/EESMS.2015.7175856","url":null,"abstract":"Wet snow accretion on overhead power lines is a real problem in Italy, causing failures and several blackouts on HV and MV power lines during the winter season. To answer this harmful atmospheric phenomenon, RSE has developed a weather forecast system named WOLF -Wet snow Overload aLert and Forecasting- for the electric power grid warning. WOLF, together with wet snow load prediction, provides an estimation of the anti-icing current necessary to maintain lines free of snow sleeve formations, This information supports the TSO operators in adopting mitigation active strategies. In synergy with WOLF, an automatic station named WILD -Wet snow Ice Laboratory Detection- has been installed in the municipality of Vinadio in the west Alps, at an altitude of 950 m asl for the forecast system verification. Through innovative measurements, it is possible to analyse in detail the most critical weather conditions for the wet snow sleeve formation on conductors. WILD is the first station in Italy devoted to study the power lines behavior during wet snowfall events. The station is equipped with instruments with proven reliability in extreme weather conditions for monitoring wet snow loads and ice thickness on some samples of typical HV conductors. This experimental activity is the first step towards a real time monitoring system of sleeve accretion on operational overhead lines.","PeriodicalId":346259,"journal":{"name":"2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115909269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Preliminary analysis of a real time segmentation and labeling algorithm 初步分析了一种实时分割和标注算法

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175880

F. Abate, V. Paciello, A. Pietrosanto, G. Monte

引用次数: 4

Structural health monitoring for post-earthquake controls: Applications in l'Aquila 震后控制的结构健康监测:在拉奎拉的应用

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175871

F. Lorenzoni, M. Caldon, C. Modena, T. Aoki

{"title":"Structural health monitoring for post-earthquake controls: Applications in l'Aquila","authors":"F. Lorenzoni, M. Caldon, C. Modena, T. Aoki","doi":"10.1109/EESMS.2015.7175871","DOIUrl":"https://doi.org/10.1109/EESMS.2015.7175871","url":null,"abstract":"In the last decades structural health monitoring (SHM) has been increasingly applied in the study of Cultural Heritage (CH) buildings, as a key activity to improve the knowledge on their structural behavior and identify the presence/activation of possible damage mechanisms. This knowledge allows engineers to carry out with more confidence and only if necessary a strengthening intervention, and it helps to prevent the execution of intrusive repair works, if not justified by an experimentally demonstrated worsening of the structural conditions. The use of monitoring systems applied under ordinary conditions and installed on CH structures may allow to: (i) validate the functioning of the adopted structural models; (ii) identify ongoing damaging processes; (iii) validate the effectiveness of the strengthening interventions. In case of a seismic event, SHM can furthermore prove its usefulness in order to: (i) evaluate quantitatively the progression of the damage pattern, (ii) carry out effective and urgent interventions if an unsafe displacement patterns is recorded; (iii) define an early warning procedure for the safety of the workers employed in the strengthening interventions. Monitoring can also be effective when implemented on seriously damaged buildings, if the time schedule for the interventions is difficult to be a priori planned. In this framework, the authors designed and installed SHM systems on six representative and emblematic CH buildings in L'Aquila after the devastating earthquake occurred on the 6th of April 2009 in the Abruzzi Region. Two selected case studies (Spanish fortress and Civic tower) report the experience gained on the use of monitoring during the emergency activities after a seismic event. Monitoring and damage detection algorithms have been successfully applied to control the evolution of the seismic-induced damages and verify the effectiveness of the provisional interventions executed immediately after the earthquake.","PeriodicalId":346259,"journal":{"name":"2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122718169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge management framework for monitoring systems improving building energy efficiency 提高建筑能源效率的监测系统知识管理框架

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175848

M. Kadolsky, R. Windisch, R. Scherer

{"title":"Knowledge management framework for monitoring systems improving building energy efficiency","authors":"M. Kadolsky, R. Windisch, R. Scherer","doi":"10.1109/EESMS.2015.7175848","DOIUrl":"https://doi.org/10.1109/EESMS.2015.7175848","url":null,"abstract":"In the last decades scarcity of resources and global warming have led to a more and more efficient building design and usage aimed to reduce energy consumption and CO2 emission. For increasing energy efficiency of buildings over the whole life cycle monitoring systems became an important technology. Thereby, monitoring systems are usually applied in combination with controlling systems for providing building automation of HVAC (heating, ventilation and air conditioning) components in the usage phase. In this paper an approach will be presented describing a generic framework for efficiently using of monitoring in the design phase as well as in the usage phase. Based on certain building criteria a) the selection for an efficient, best cost-benefit, HVAC system and b) the efficient filtering, evaluating and prioritizing of energy performance values like cooling/heating consumption values will be supported. This will be done by considering only a small set of energy indicators representing and covering complex building designs and usage scenarios. As description method for the building criteria an ontology approach is considered comprising and consolidating the different input sources and creating the base for deriving and identifying these criteria. Furthermore, intelligent filtering methods are proposed operating on the origin source models and filtering and aggregating the elements for mapping them to the ontology descriptions. Altogether is embedded in a knowledge management framework forming the mediator for external software like simulation or CAD software. The use of the knowledge management framework is intended for a company applying it throughout several projects and storing the gained experience in the building criteria and the related functionalities.","PeriodicalId":346259,"journal":{"name":"2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A cooperative monitoring technique using visually servoed drones 一种使用视觉伺服无人机的合作监控技术

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175885

M. Andreetto, Matteo Pacher, D. Fontanelli, D. Macii

引用次数: 7

Structural health monitoring of the Colle Isarco Viaduct Isarco高架桥结构健康监测

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175843

A. Beltempo, C. Cappello, D. Zonta, A. Bonelli, O. Bursi, C. Costa, W. Pardatscher

引用次数: 7

Structural health monitoring of a historic masonry tower 历史砖石塔结构健康监测

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175872

C. Gentile, Marco Guidobaldi, A. Saisi

引用次数: 3

Monitoring of a concentrating solar thermal field: Energy measurements and uncertainty analysis 聚光太阳热场的监测:能量测量和不确定度分析

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175877

M. Cozzini, Mauro Pipiciello, R. Fedrizzi

引用次数: 0

Design and implementation of a diagnostic device for fuel cell systems based on an application web server 基于应用web服务器的燃料电池系统诊断装置的设计与实现

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175876

Navid Torabpourshiraz, M. Wenske, R. Vidoni

{"title":"Design and implementation of a diagnostic device for fuel cell systems based on an application web server","authors":"Navid Torabpourshiraz, M. Wenske, R. Vidoni","doi":"10.1109/EESMS.2015.7175876","DOIUrl":"https://doi.org/10.1109/EESMS.2015.7175876","url":null,"abstract":"One of the significant components in the fuel cell power systems is the appropriate monitoring, instrumentation and data acquisition of system operational parameters. The cell temperature influences the efficiency of the low temperature proton exchange membrane fuel cell (LTPEMFC). Additionally, the output power of fuel cell plant must be measured and monitored to enhance the condition of fuel cell plant with respect to efficiency and reliability. At the meanwhile, by employing web servers, accessing to these acquired data through the standard in a real-time web browser has been possible recently. The web server with Atmel processor is defined to be the embedded web server. The embedded web server in this project will be developed to allow operators to monitor the embedded web application serving LTPEMFC in real-time using any standard web browser in a high-performance manner. The embedded web server application is able to correspond to the HTTP requests made by the web browser client. The operator can use a web browser and by typing the specified URL of the website into browser can download the web page in the local area network. This web server does not require dedicated high configuration computer. It is a cheap and smart solution. Firstly, in this paper the proposed stand-alone unit that embodies two (2) Atmel microcontrollers, an Ethernet Controller ENC28J60, hardware components, and sensing circuits is presented. The system design complies with the requirements of a portable fuel cell based application. Furthermore, the simulation and practical results obtained during experimental tests are demonstrated. Finally, this embedded web application is verified in a real-world network environment. The experiment results have demonstrated that the system is able to fulfill canonical network communication with good level of accuracy in terms of the acquired parameters.","PeriodicalId":346259,"journal":{"name":"2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131773091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Continuous strain prediction for fatigue assessment of an offshore wind turbine using Kalman filtering techniques 基于卡尔曼滤波技术的海上风力机疲劳评估连续应变预测

2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings Pub Date : 2015-07-09 DOI: 10.1109/EESMS.2015.7175850

K. Maes, G. De Roeck, G. Lombaert, A. Iliopoulos, D. Van Hemelrijck, C. Devriendt, P. Guillaume

{"title":"Continuous strain prediction for fatigue assessment of an offshore wind turbine using Kalman filtering techniques","authors":"K. Maes, G. De Roeck, G. Lombaert, A. Iliopoulos, D. Van Hemelrijck, C. Devriendt, P. Guillaume","doi":"10.1109/EESMS.2015.7175850","DOIUrl":"https://doi.org/10.1109/EESMS.2015.7175850","url":null,"abstract":"Offshore wind turbines are exposed to continuous wind and wave excitation. The continuous monitoring of high periodic strains at critical locations is important to assess the remaining lifetime of the structure. Some of the critical locations are not accessible for direct strain measurements, e.g. at the mud-line, 30 meter below the water level. Response estimation techniques can then be used to estimate the response at unmeasured locations from a limited set of response measurements and a system model. This paper shows the application of a Kalman filtering algorithm for the estimation of strains in the tower of an offshore monopile wind turbine in the Belgian North Sea. The algorithm makes use of a model of the structure and a limited number of response measurements for the prediction of the strain responses. It is shown that the Kalman filter algorithm is able to account for the different types of excitation acting on the structure in operational conditions, in this way yielding accurate strain estimates that can be used for continuous fatigue assessment of the wind turbine.","PeriodicalId":346259,"journal":{"name":"2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132156316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11