Volume 2, Issue 1, June 2014, Pages 29–39
Arash M. Roshandeh1, Rashed Poormirzaee2, and Forough Sheikh Ansari3
1 School of Civil Engineering, Purdue University, West Lafayette, IN, USA
2 Seismology Group, Department of Mathematics and Geoscience, University of Trieste, Trieste, Italy
3 Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current paper presents a layered big data and a real-time decision-making framework for bridge data management as well as health monitoring. There are emergency conditions that prevent timely fixing of bridge's damage. At these situations, road users are the right decision makers who should directly be informed about the bridge condition. Using this framework, sensors embedded on bridges could be designed to send warning messages to Variable Message Signs and cell phones within a defined region. To address difficulties of real time communication with road users and/or experts in central management office, the emerging technology of big data and cloud computing could be utilized.
Author Keywords: Asset Management, Big Data, Bridge Health Monitoring, Cloud Computing, Variable Message Sign.
Arash M. Roshandeh1, Rashed Poormirzaee2, and Forough Sheikh Ansari3
1 School of Civil Engineering, Purdue University, West Lafayette, IN, USA
2 Seismology Group, Department of Mathematics and Geoscience, University of Trieste, Trieste, Italy
3 Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Current paper presents a layered big data and a real-time decision-making framework for bridge data management as well as health monitoring. There are emergency conditions that prevent timely fixing of bridge's damage. At these situations, road users are the right decision makers who should directly be informed about the bridge condition. Using this framework, sensors embedded on bridges could be designed to send warning messages to Variable Message Signs and cell phones within a defined region. To address difficulties of real time communication with road users and/or experts in central management office, the emerging technology of big data and cloud computing could be utilized.
Author Keywords: Asset Management, Big Data, Bridge Health Monitoring, Cloud Computing, Variable Message Sign.
How to Cite this Article
Arash M. Roshandeh, Rashed Poormirzaee, and Forough Sheikh Ansari, “Systematic Data Management for Real-Time Bridge Health Monitoring Using Layered Big Data and Cloud Computing,” International Journal of Innovation and Scientific Research, vol. 2, no. 1, pp. 29–39, June 2014.
