Autonomous end-to-end wireless monitoring system for railroad bridges Article Swipe
Tu Hoang
,
Yuguang Fu
,
Kirill Mechitov
,
Fernando Gómez
,
Jong Kim
,
Dichuan Zhang
,
Billie F. Spencer
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1186/s43251-020-00014-7
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1186/s43251-020-00014-7
One of the most critical components of the US transportation system is railroads, accommodating transportation for 48% of the nation’s total modal tonnage. Despite such vital importance, more than half of the railroad bridges, an essential component of railroad infrastructure in maintaining the flow of the network, were built before 1920; as a result, bridges comprise one of the most fragile components of the railroad system. Current structural inspection practice does not ensure sufficient information for both short- and long-term condition assessment while keeping the operation cost low enough for mandatory annual inspection. In this paper, we document the development process of an autonomous, affordable system for monitoring railroad bridges using the wireless smart sensor (WSS) so that a complete end-to-end monitoring solution can provide relevant information directly from the bridges to the end-users. The system’s main contribution is to capture the train-crossing event efficiently and eliminate the need for a human-in-the-loop for remote data retrieval and post-processing. In the proposed system, an adaptive strategy combining an event-based and schedule-based framework is implemented. The wireless system addresses the challenges of remote data retrieval by integrating 4G-LTE functionality into the sensor network and completes the data pipeline with a cloud-based data management and visualization solution. This system is realized on hardware, software, and framework levels. To demonstrate the efficacy of this system, a full-scale monitoring campaign is reported. By overcoming the challenges of monitoring railroad bridges wirelessly and autonomously, this system is expected to be an essential tool for bridge engineers and decision-makers.
Related Topics
Concepts
Event (particle physics)
Component (thermodynamics)
Schedule
Wireless sensor network
Process (computing)
Real-time computing
Computer science
Key (lock)
Wireless
Pipeline (software)
Visualization
Engineering
Computer security
Telecommunications
Computer network
Operating system
Artificial intelligence
Programming language
Thermodynamics
Physics
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s43251-020-00014-7
- https://aben.springeropen.com/track/pdf/10.1186/s43251-020-00014-7
- OA Status
- diamond
- Cited By
- 25
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3112219374
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3112219374Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s43251-020-00014-7Digital Object Identifier
- Title
-
Autonomous end-to-end wireless monitoring system for railroad bridgesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-01Full publication date if available
- Authors
-
Tu Hoang, Yuguang Fu, Kirill Mechitov, Fernando Gómez, Jong Kim, Dichuan Zhang, Billie F. SpencerList of authors in order
- Landing page
-
https://doi.org/10.1186/s43251-020-00014-7Publisher landing page
- PDF URL
-
https://aben.springeropen.com/track/pdf/10.1186/s43251-020-00014-7Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://aben.springeropen.com/track/pdf/10.1186/s43251-020-00014-7Direct OA link when available
- Concepts
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Event (particle physics), Component (thermodynamics), Schedule, Wireless sensor network, Process (computing), Real-time computing, Computer science, Key (lock), Wireless, Pipeline (software), Visualization, Engineering, Computer security, Telecommunications, Computer network, Operating system, Artificial intelligence, Programming language, Thermodynamics, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
25Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 5, 2023: 5, 2022: 8, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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