Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052696
A. Simakov, E. Onishchenko, B. Gurkovskiy, V. Butuzov, Y. Bocharov, I. Vodokhlebov, V. Pershenkov, B. Zhuravlev, N. Trifonova
Nowadays the growing microwave environmental contamination including home space can become a real challenge to all the residents. We present new portable devices, which provide a continuous remote monitoring of the microwave home background. These three different designs allow monitoring four main human microwave safety characteristics: SA — specific absorbed energy; MPE — maximum permissible exposure; SAR — specific absorption rate, and PD — power density. One may set a specific alarm level to match it with individual microwave sensitivity for personal precaution. New microwave dosimeters may work in professional, occupational and personal modes in smart home applications.
{"title":"Microwave dosimeters for domestic use","authors":"A. Simakov, E. Onishchenko, B. Gurkovskiy, V. Butuzov, Y. Bocharov, I. Vodokhlebov, V. Pershenkov, B. Zhuravlev, N. Trifonova","doi":"10.1109/EESMS.2017.8052696","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052696","url":null,"abstract":"Nowadays the growing microwave environmental contamination including home space can become a real challenge to all the residents. We present new portable devices, which provide a continuous remote monitoring of the microwave home background. These three different designs allow monitoring four main human microwave safety characteristics: SA — specific absorbed energy; MPE — maximum permissible exposure; SAR — specific absorption rate, and PD — power density. One may set a specific alarm level to match it with individual microwave sensitivity for personal precaution. New microwave dosimeters may work in professional, occupational and personal modes in smart home applications.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134052969","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052681
M. Mansouri, H. Nounou, M. Harkat, M. Nounou
Environmental pollution has adverse consequences on human health and the ecosystem. Among the most dangerous types of pollution is air pollution in urban areas, which has been shown to be strongly linked to higher morbidity and mortality rates. Air pollution can be due to several factors, such as human activities (that produce pollutants such as nitrogen oxides, carbon oxides, and volatile organic compounds), photochemical reactions in the lower atmosphere (that produce ozone), or meteorological conditions that affect the concentrations of dust and particulate matter. The contamination levels of these pollutants need to be maintained below acceptable limits set by the world health organization (WHO) or air quality associations in various areas of the world in order to minimize the impact of these pollutants on humans and the environment. A detection of anomalies in measured air quality data is a crucial step towards improving the monitoring of air quality networks. Therefore, an enhanced fault detection technique of an air quality monitoring network using multiscale principal component analysis (MSPCA)-based on moving window generalized likelihood ratio test (MW-GLRT) is proposed. The presence of measurement noise in the data and model uncertainties degrade the quality of fault detection techniques by increasing the rate of false alarms. Thus, the objective of this paper is to enhance the fault detection of an air quality monitoring network by using wavelet-based multiscale representation of data, which is a powerful feature extraction tool to remove the noises from the data. Multiscale data representation has been used to enhance the fault detection abilities of principal component analysis. The results demonstrate the effectiveness of the MSPCA-based MW-GLRT method over the conventional MSPCA-based GLRT method and both of them provide a good performance compared with the conventional PCA and MSPCA methods.
{"title":"Enhanced fault detection of an air quality monitoring network","authors":"M. Mansouri, H. Nounou, M. Harkat, M. Nounou","doi":"10.1109/EESMS.2017.8052681","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052681","url":null,"abstract":"Environmental pollution has adverse consequences on human health and the ecosystem. Among the most dangerous types of pollution is air pollution in urban areas, which has been shown to be strongly linked to higher morbidity and mortality rates. Air pollution can be due to several factors, such as human activities (that produce pollutants such as nitrogen oxides, carbon oxides, and volatile organic compounds), photochemical reactions in the lower atmosphere (that produce ozone), or meteorological conditions that affect the concentrations of dust and particulate matter. The contamination levels of these pollutants need to be maintained below acceptable limits set by the world health organization (WHO) or air quality associations in various areas of the world in order to minimize the impact of these pollutants on humans and the environment. A detection of anomalies in measured air quality data is a crucial step towards improving the monitoring of air quality networks. Therefore, an enhanced fault detection technique of an air quality monitoring network using multiscale principal component analysis (MSPCA)-based on moving window generalized likelihood ratio test (MW-GLRT) is proposed. The presence of measurement noise in the data and model uncertainties degrade the quality of fault detection techniques by increasing the rate of false alarms. Thus, the objective of this paper is to enhance the fault detection of an air quality monitoring network by using wavelet-based multiscale representation of data, which is a powerful feature extraction tool to remove the noises from the data. Multiscale data representation has been used to enhance the fault detection abilities of principal component analysis. The results demonstrate the effectiveness of the MSPCA-based MW-GLRT method over the conventional MSPCA-based GLRT method and both of them provide a good performance compared with the conventional PCA and MSPCA methods.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535239","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052692
Nukhet Sazak, Mutlu Ertug
A large number of sensor nodes are deployed to remote locations and left unattended for a long time in wireless sensor network applications. When a battery-powered sensor node depletes its energy, it is assumed as “dead” and recharging or replacing the battery is not possible in most of the applications. Lifetime of the wireless sensor network depends on the efficient use of available restricted energy. Railway monitoring application of Linear Wireless Sensor Networks (LWSNs) which are a subclass of wireless sensor networks is considered in this paper. The objective of this study is to present the effect of proper node deployment in extending the linear wireless sensor network lifetime. Thanks to proposed deployment scheme, it is shown that the energy consumption of the LWSN is lowered and thus the lifetime of the network is increased.
{"title":"The effect of node deployment scheme on LWSN lifetime for railway monitoring applications","authors":"Nukhet Sazak, Mutlu Ertug","doi":"10.1109/EESMS.2017.8052692","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052692","url":null,"abstract":"A large number of sensor nodes are deployed to remote locations and left unattended for a long time in wireless sensor network applications. When a battery-powered sensor node depletes its energy, it is assumed as “dead” and recharging or replacing the battery is not possible in most of the applications. Lifetime of the wireless sensor network depends on the efficient use of available restricted energy. Railway monitoring application of Linear Wireless Sensor Networks (LWSNs) which are a subclass of wireless sensor networks is considered in this paper. The objective of this study is to present the effect of proper node deployment in extending the linear wireless sensor network lifetime. Thanks to proposed deployment scheme, it is shown that the energy consumption of the LWSN is lowered and thus the lifetime of the network is increased.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128870357","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052687
A. Pini, L. Grandoni, G. Leuzzi, P. Monti, F. Maicu, F. De Pascalis
In this paper absolute dispersion of GPS-equipped drifters of the MREA14 campaign in the Mar Grande Basin of Taranto was investigated. Velocity variance and integral time scale were computed. Different procedures to infer the mean velocity from drifter data were examined. A comparison within experimental and theoretical values of the displacement variance is introduced pointing out limits and requirements of numerical dispersion models. Estimates of horizontal diffusivities are obtained and presented.
{"title":"Evaluation of Lagrangian time scales and turbulent diffusivities by GPS equipped drifters","authors":"A. Pini, L. Grandoni, G. Leuzzi, P. Monti, F. Maicu, F. De Pascalis","doi":"10.1109/EESMS.2017.8052687","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052687","url":null,"abstract":"In this paper absolute dispersion of GPS-equipped drifters of the MREA14 campaign in the Mar Grande Basin of Taranto was investigated. Velocity variance and integral time scale were computed. Different procedures to infer the mean velocity from drifter data were examined. A comparison within experimental and theoretical values of the displacement variance is introduced pointing out limits and requirements of numerical dispersion models. Estimates of horizontal diffusivities are obtained and presented.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115658220","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052682
J. Hernández, Alvaro Corredera, Rubén García, Cecilia Sanz, Roberto Sanz
Monitoring networks are pivotal in energy efficiency environment taking into account that the analyses are carried out based on data. Then, the design and deployment monitoring systems, which ensure data quality, are crucial. Nevertheless, sometimes it is difficult due to the constraints, which are even harder in Smart Cities. Mainly, the costs cannot be afforded in this type of project. In order to solve this issue, the present paper proposes a low cost monitoring system, developed under the European project R2CITIES. In this sense, only a set of dwellings are equipped and, thanks to data-mining techniques, the results are extended to the whole district. Sampling, clustering and aggregation are the three selected techniques that are being applied in the district “4 de marzo” in the city of Valladolid.
考虑到分析是基于数据进行的，监测网络在能源效率环境中至关重要。其次，监控系统的设计和部署是保证数据质量的关键。然而，由于限制，有时很难做到，这在智慧城市中更加困难。主要是这类项目的费用负担不起。为了解决这一问题，本文提出了一种低成本的监测系统，该系统是在欧洲R2CITIES项目下开发的。从这个意义上说，只有一组住宅配备了设备，并且由于数据挖掘技术，结果扩展到整个地区。抽样、聚类和聚合是在巴利亚多利德市“4 de marzo”区应用的三种选定技术。
{"title":"Low cost monitoring network for smart cities","authors":"J. Hernández, Alvaro Corredera, Rubén García, Cecilia Sanz, Roberto Sanz","doi":"10.1109/EESMS.2017.8052682","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052682","url":null,"abstract":"Monitoring networks are pivotal in energy efficiency environment taking into account that the analyses are carried out based on data. Then, the design and deployment monitoring systems, which ensure data quality, are crucial. Nevertheless, sometimes it is difficult due to the constraints, which are even harder in Smart Cities. Mainly, the costs cannot be afforded in this type of project. In order to solve this issue, the present paper proposes a low cost monitoring system, developed under the European project R2CITIES. In this sense, only a set of dwellings are equipped and, thanks to data-mining techniques, the results are extended to the whole district. Sampling, clustering and aggregation are the three selected techniques that are being applied in the district “4 de marzo” in the city of Valladolid.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126139730","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052694
Yasamin Keshmiri Esfandabad, A. Marzani, L. De Marchi
Many nondestructive evaluations and structural health monitoring techniques for plate like structures rely on the full field analysis related to stress guided waves propagation. Such techniques can be quite slow as in general the acquisition of the full wave field and its processing, aimed at extracting damage related information, are time consuming processes. Therefore, strategies to reduce the acquisition time and improve the damage detection and quantification are sought. This research describes a method based on Compressive Sensing (CS) and a wavenumber estimation technique that can lead to fast scanning and improved damage detection. The proposed technique exploits the full wavefields which are rapidly reconstructed by applying the CS technique. Then, frequency wavenumber processing is performed to identify the maximum wavelength. Finally a dedicated masking procedure is implemented to enhance the defect-induced scattering. To demonstrate the effectiveness of the proposed techniques, several experiments were performed on aluminum structure, emulating defect with a mass. In the experiments, guided waves are excited with a piezoelectric transducer bonded to the inspected structure and sensed by an air-coupled probe mounted on a CNC machine. The results demonstrate that the proposed technique allows to reduce the amount of measurements needed and therefore the needed scanning time, as just the 20% of the Nyquist scanpoints were measured, and improves the performance of damage imaging tasks by removing automatically noise artifacts.
{"title":"Fast guided waves inspection using compressive sensing and wavenumber domain analysis","authors":"Yasamin Keshmiri Esfandabad, A. Marzani, L. De Marchi","doi":"10.1109/EESMS.2017.8052694","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052694","url":null,"abstract":"Many nondestructive evaluations and structural health monitoring techniques for plate like structures rely on the full field analysis related to stress guided waves propagation. Such techniques can be quite slow as in general the acquisition of the full wave field and its processing, aimed at extracting damage related information, are time consuming processes. Therefore, strategies to reduce the acquisition time and improve the damage detection and quantification are sought. This research describes a method based on Compressive Sensing (CS) and a wavenumber estimation technique that can lead to fast scanning and improved damage detection. The proposed technique exploits the full wavefields which are rapidly reconstructed by applying the CS technique. Then, frequency wavenumber processing is performed to identify the maximum wavelength. Finally a dedicated masking procedure is implemented to enhance the defect-induced scattering. To demonstrate the effectiveness of the proposed techniques, several experiments were performed on aluminum structure, emulating defect with a mass. In the experiments, guided waves are excited with a piezoelectric transducer bonded to the inspected structure and sensed by an air-coupled probe mounted on a CNC machine. The results demonstrate that the proposed technique allows to reduce the amount of measurements needed and therefore the needed scanning time, as just the 20% of the Nyquist scanpoints were measured, and improves the performance of damage imaging tasks by removing automatically noise artifacts.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130703736","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052677
H. Medhat, F. Gunzer
Ion mobility is a well know technique offering the analysis of gaseous substances in e.g. environmental monitoring applications. The advantages are a portable instrument size, very high sensitivity in the ppbv range, fast response time in the range of a few seconds, but limited selectivity due to its relatively low resolving power. Typically, an ion mobility spectrum has maximum two peaks per analyte if dimer formation takes place; often only one peak per analyte is observable. Normally, analyte fragmentation is not observed. However, in a previous study, we reported strong fragmentation of n-decane and n-undecane when mercury is present in the device. In this paper, we employed de-convolution with help of Gold's Algorithm to reduce the peak width in these spectra with the goal to obtain further information regarding this fragmentation.
{"title":"Analysis of the mercury induced fragmentation of certain n-alkanes in pulsed ion mobility spectrometry with Gold's Algorithm","authors":"H. Medhat, F. Gunzer","doi":"10.1109/EESMS.2017.8052677","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052677","url":null,"abstract":"Ion mobility is a well know technique offering the analysis of gaseous substances in e.g. environmental monitoring applications. The advantages are a portable instrument size, very high sensitivity in the ppbv range, fast response time in the range of a few seconds, but limited selectivity due to its relatively low resolving power. Typically, an ion mobility spectrum has maximum two peaks per analyte if dimer formation takes place; often only one peak per analyte is observable. Normally, analyte fragmentation is not observed. However, in a previous study, we reported strong fragmentation of n-decane and n-undecane when mercury is present in the device. In this paper, we employed de-convolution with help of Gold's Algorithm to reduce the peak width in these spectra with the goal to obtain further information regarding this fragmentation.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120943646","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052679
Mark David Jenkins, T. Buggy, G. Morison
This paper details a complete hardware and software system designed to aid in the visual inspection and structural condition monitoring of railway tunnels. The system consists of two main components; an image acquisition system for data collection and an image processing software package for data analysis. The image acquisition system consists of an array of cameras with overlapping fields of view, a uniform lighting solution and a computer to control recording mounted on a rail trolley. The software package carries out operations such as image registration and stitching, 3D reconstruction and change detection. This software package is designed to generate and present image information in a manner which is most useful to structural examiners. The overall system aims to reduce the time taken to carry out visual inspection of tunnels while increasing the overall accuracy of inspections. Our preliminary findings indicate that the system directly benefits examiners when carrying out visual tunnel inspections.
{"title":"An imaging system for visual inspection and structural condition monitoring of railway tunnels","authors":"Mark David Jenkins, T. Buggy, G. Morison","doi":"10.1109/EESMS.2017.8052679","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052679","url":null,"abstract":"This paper details a complete hardware and software system designed to aid in the visual inspection and structural condition monitoring of railway tunnels. The system consists of two main components; an image acquisition system for data collection and an image processing software package for data analysis. The image acquisition system consists of an array of cameras with overlapping fields of view, a uniform lighting solution and a computer to control recording mounted on a rail trolley. The software package carries out operations such as image registration and stitching, 3D reconstruction and change detection. This software package is designed to generate and present image information in a manner which is most useful to structural examiners. The overall system aims to reduce the time taken to carry out visual inspection of tunnels while increasing the overall accuracy of inspections. Our preliminary findings indicate that the system directly benefits examiners when carrying out visual tunnel inspections.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179169","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052698
Alessandro Quarto, D. Soldo, Simona Gemmano, R. Dario, V. Di Lecce, C. Guaragnella, A. Cardellicchio, A. Lombardi
After briefly discussing the loT and Cyber physical device main features, the application of wearable devices was examined. The constrains of this class of application are in the greatest interest of the researchers and enterprises for the interested in many possible uses of it. The Apulia Region has issued a call for proposals for “Innonetwork sostegno alle attività di R&S per lo sviluppo di nuove tecnologie sostenibili, di nuovi prodotti e servizi” by requesting innovative projects in the field of medical monitoring. The paper focuses on the defining of some guidelines for a possible application of a wearable devices, with sensor and internet connections suitable for monitoring of elderly and infirm peoples also in the remote follow-up phase. The issue of monitoring long-term care patients introduces an array of technical challenges in designing systems and algorithms.
{"title":"IoT and CPS applications based on wearable devices. A case study: Monitoring of elderly and infirm patients","authors":"Alessandro Quarto, D. Soldo, Simona Gemmano, R. Dario, V. Di Lecce, C. Guaragnella, A. Cardellicchio, A. Lombardi","doi":"10.1109/EESMS.2017.8052698","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052698","url":null,"abstract":"After briefly discussing the loT and Cyber physical device main features, the application of wearable devices was examined. The constrains of this class of application are in the greatest interest of the researchers and enterprises for the interested in many possible uses of it. The Apulia Region has issued a call for proposals for “Innonetwork sostegno alle attività di R&S per lo sviluppo di nuove tecnologie sostenibili, di nuovi prodotti e servizi” by requesting innovative projects in the field of medical monitoring. The paper focuses on the defining of some guidelines for a possible application of a wearable devices, with sensor and internet connections suitable for monitoring of elderly and infirm peoples also in the remote follow-up phase. The issue of monitoring long-term care patients introduces an array of technical challenges in designing systems and algorithms.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124272762","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}
Pub Date : 2017-07-01DOI: 10.1109/EESMS.2017.8052680
Andre Yulian Atmojo, Khoerul Anwar, M. G. Andika, R. N. Wardhani
Wind-flow around a long-span bridge, as a bluff body, will generate an aerodynamic force that interacts with the flow, causing vibration to the bridge deck. This phenomenon can lead to structural fatigue or worst, the bridge collapse. A continuous and comprehensive measurement system is needed for early detection and maintenance reference of a long-span bridge. Another benefit this system is aiming at maintaining the bridge design validation and getting development recommendation for subsequent structure. A comprehensive structural health monitoring system can be built based on data from continuous measurement and analysis of other loads such as seismic activities, traffic load, waves, self-weight of structure, earth pressure, corrosion, temperature, and so on. Some experiments have been conducted by National Laboratory of Aerodynamic, Aeroelastic and Aeroacoustic Technology's research team, which resulted in a long-span bridges aeroelastic monitoring system prototype. The prototype, called BAMS x1, can acquire wind direction, wind speed and vertical acceleration (heaving) data of a long-span bridge. A National Instrument based embedded data acquisition hardware is used. A stand-alone measurement system in remote location (based on Lab VIEW Web Service) can be build, and it is sending the data package to the server every 10 s period. At the server side, some data management and processing are done to prepare the data to the next level of analysis processing. Further development will be conducted to supply advanced data, accessible to all over the world through web application.
大跨度桥梁周围的气流作为钝体，会产生与气流相互作用的气动力，使桥面产生振动。这种现象会导致结构疲劳，最严重的是桥梁倒塌。为大跨度桥梁的早期检测和维修提供参考，需要一个连续、全面的测量系统。该系统的另一个好处是旨在维护桥梁设计的有效性，并为后续结构提供开发建议。通过对地震活动、交通荷载、波浪、结构自重、土压力、腐蚀、温度等其他荷载的连续测量和分析，可以建立全面的结构健康监测系统。气动、气动弹性与气动声学技术国家实验室课题组进行了实验研究，研制出了大跨度桥梁气动弹性监测系统样机。该原型机名为BAMS x1，可以获取大跨度桥梁的风向、风速和垂直加速度(起伏)数据。采用了一种基于国家仪器的嵌入式数据采集硬件。可以建立一个独立的远程测量系统(基于Lab VIEW Web Service)，它每10 s周期向服务器发送数据包。在服务器端，完成一些数据管理和处理，以便为下一级分析处理准备数据。将进行进一步的开发，以提供先进的数据，通过网络应用程序访问世界各地。
{"title":"Aeroelastic monitoring system: A part of long-span bridge structural health monitoring system","authors":"Andre Yulian Atmojo, Khoerul Anwar, M. G. Andika, R. N. Wardhani","doi":"10.1109/EESMS.2017.8052680","DOIUrl":"https://doi.org/10.1109/EESMS.2017.8052680","url":null,"abstract":"Wind-flow around a long-span bridge, as a bluff body, will generate an aerodynamic force that interacts with the flow, causing vibration to the bridge deck. This phenomenon can lead to structural fatigue or worst, the bridge collapse. A continuous and comprehensive measurement system is needed for early detection and maintenance reference of a long-span bridge. Another benefit this system is aiming at maintaining the bridge design validation and getting development recommendation for subsequent structure. A comprehensive structural health monitoring system can be built based on data from continuous measurement and analysis of other loads such as seismic activities, traffic load, waves, self-weight of structure, earth pressure, corrosion, temperature, and so on. Some experiments have been conducted by National Laboratory of Aerodynamic, Aeroelastic and Aeroacoustic Technology's research team, which resulted in a long-span bridges aeroelastic monitoring system prototype. The prototype, called BAMS x1, can acquire wind direction, wind speed and vertical acceleration (heaving) data of a long-span bridge. A National Instrument based embedded data acquisition hardware is used. A stand-alone measurement system in remote location (based on Lab VIEW Web Service) can be build, and it is sending the data package to the server every 10 s period. At the server side, some data management and processing are done to prepare the data to the next level of analysis processing. Further development will be conducted to supply advanced data, accessible to all over the world through web application.","PeriodicalId":285890,"journal":{"name":"2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125178855","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：