Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 81, Issue 24, Pages 34573-34593Publisher
SPRINGER
DOI: 10.1007/s11042-021-11565-w
Keywords
FBG; Sensor Sensor calibration; Sensor signal processing; Strain; distribution analysis; Structural health monitoring; Critical sensing; Big data; IoT; Kafka; Smart distributed sensing
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Funding
- Silicon Research Promotion Scheme (SRPS), Silicon Institute of Technology India
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Structural Health Monitoring (SHM) of large structures is critical, and Fiber Bragg Grating (FBG) sensor technology can address this issue. This article discusses the fabrication and application of FBG sensors, and proposes a Smart Distributed Sensing (SDS) model based on FBG sensors.
Structural Health Monitoring (SHM) of large structures is a critical aspect due to various environmental conditions, high speed & long-distance communication, dynamic analysis of the structure, and cost of operation. These issues can be addressed using Fiber Bragg Grating (FBG) sensor technology which has evolved to a new height and is widely used in various distributed critical sensing applications. These are mostly preferred due to long-distance monitoring, low cost of operation, and immunity to Electromagnetic (EM) radiations. Similarly, the monitoring of a large structure from a long distance is also one of the crucial aspects of SHM technologies. These technological challenges can be addressed using an integrated distributed sensing solution consisting of FBG sensors, Big Data, Kafka, and the Internet of Things (IoT). In this article, the fabrication of the FBG sensor and the bonding of the sensing element to the base plate of the suspension bridge structure are discussed along with experimental details. A scalable architecture of the proposed Smart Distributed Sensing (SDS) model using FBG sensors is also discussed in this article. The experimental validation is performed using an IoT based FBG sensing mechanism to estimate the strain distribution profile at the bonding region of the base plate from a central location.
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