A scalable and interoperable cyberinfrastructure platform for civil infrastructure monitoring
Abstract/Contents
- Abstract
- Civil infrastructure monitoring is an important technology that provides accurate and objective data on the health condition of a structure by leveraging sensor technologies. Together with routine maintenance and inspection, civil infrastructure monitoring enables the diagnosis of potential structural problems and the prognosis for the need of structural strengthening and repairs. As sensor technologies mature and become economically affordable, their deployment for civil infrastructure monitoring will continue to grow to collect more detailed data about the structures. The data collected from civil infrastructure monitoring systems offers promising opportunities to find meaningful information, knowledge and insight that can improve decision making processes. Furthermore, advances in sensing and communication technologies will eventually realize the concept of cyber-physical systems (CPS) that tightly integrate physical systems and cyber systems to monitor, analyze, coordinate and control the operations of physical systems. Nevertheless, the increasing use of sensors will also lead to significant data management issues. Civil infrastructure monitoring systems instrumented with dense sensor networks will be inundated with unprecedented volume and diverse types of data that need to be processed, interpreted and brought forth to support system operations. The utilization of such "big data" will be significantly limited unless a proper data management platform, which can efficiently store, manage, retrieve, share, interface, link and integrate data, is developed. This thesis describes a cyberinfrastructure platform for civil infrastructure monitoring with an emphasis on system scalability and interoperability. The cyberinfrastructure platform brings together information and communication technologies (ICT), including information modeling, NoSQL database, cloud computing and web services, for effective data management. An information modeling framework with application to bridge monitoring is designed to facilitate data interoperability and data integration. A NoSQL-based data management system is developed to enable scalable, flexible and fault-tolerant management of monitoring data. Cloud computing is adopted as a scalable, reliable and accessible computing infrastructure. Platform-neutral web services are developed to enable easy access to the cloud resources and data involved in engineering systems via standard communication protocols. For demonstration, the cyberinfrastructure platform is implemented for the monitoring of bridges along the I-275 corridor in the State of Michigan. The results show that the cyberinfrastructure platform can effectively manage the sensor data and domain-specific information and facilitate data sharing, integration and utilization.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2019; ©2019 |
| Publication date | 2019; 2019 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Jeong, Seongwoon |
|---|---|
| Degree supervisor | Law, K. H. (Kincho H.) |
| Thesis advisor | Law, K. H. (Kincho H.) |
| Thesis advisor | Kiremidjian, Anne S. (Anne Setian) |
| Thesis advisor | Lynch, Jerome P. (Jerome Peter) |
| Degree committee member | Kiremidjian, Anne S. (Anne Setian) |
| Degree committee member | Lynch, Jerome P. (Jerome Peter) |
| Associated with | Stanford University, Civil & Environmental Engineering Department. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Seongwoon Jeong. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Seongwoon Jeong
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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