Cloud Architecture For IOT Based Bridge Monitoring Applications

Naraharisetty, Visvesh; Talari, Venkat Surendar; Neridu, Sairam; Kalapatapu, Prafulla; Pasupuleti, Venkata Dilip Kumar

doi:10.1109/icetci51973.2021.9574044

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…For this reason, cloud infrastructures often provide the storage and computational resources of IoT-SHM platforms. In [9], the authors employed the AWS IoT cloud platform to manage smart sensors installed on a single-line railway bridge; the raw sensor data are stored with DynamoDB and displayable through a custom web interface. Similar sensor-to-cloud workflows are proposed and test-fielded in [10] and [19].…”

Section: Related Workmentioning

confidence: 99%

“…Given the microservices nature of our implementation, we adopted an orchestration platform that could handle the management, deployment, and scaling of these services across the edge-cloud continuum. To this end, we employed Docker 9 and Kubernetes. 10 By using these tools, we ensure seamless service discovery, load balancing, and self-healing across both edge devices and centralized cloud infrastructure.…”

Section: Software Implementationmentioning

confidence: 99%

“…To meet these requirements, some research studies on smart structures propose multilayered, Internet of Things (IoT)-based architectures involving both smart sensor devices in charge of measuring, preprocessing, and forwarding physical data and remote processing units, which merge and handle the huge data volume, finally executing structural assessment algorithms [8], [9], [10], [11], [12]. While the referred solutions have achieved considerable results, two open points still need to be tackled.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Gigli,

Zyrianoff,

Zonzini

et al. 2024

IEEE Trans. Ind. Inf.

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Assessing the integrity of industrial and civil appliances has become a priority worldwide. Noteworthy, this goal requires a strong synergy between multiple tools, disciplines, and approaches to be attained via a joint hardware-software co-design of the different Structural Health Monitoring (SHM) system components. This work proposes the MAC4PRO architecture, a sensor-tocloud monitoring platform that seamlessly integrates sensing and software technologies for accurate data measurement, transmission, and analysis. The developed solution stands out for its interoperability and versatility, making it a promising candidate for integration in the next generation of smart structures. Our platform was validated during extensive experimental campaigns targeted at various industrial scenarios. The results show that the MAC4PRO architecture can identify subtle changes, such as 1mm size leakage events in pipeline circuits, or less than 1% frequency

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Section: Related Workmentioning

confidence: 99%

Section: Software Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Gigli,

Zyrianoff,

Zonzini

et al. 2024

IEEE Trans. Ind. Inf.

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“…Wireless sensor networks play a significant role in collecting data from smart sensors in SHM systems and continue to grow [2,5]. The Internet of Things (IoT) and cloud-based systems have contributed a lot in developing modern smart SHM systems [6,7]. The conventional sensors do not have any intelligence integrated into them.…”

Section: Introductionmentioning

confidence: 99%

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Preethichandra,

Suntharavadivel,

Kalutara

et al. 2023

Sensors

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Recent developments in networked and smart sensors have significantly changed the way Structural Health Monitoring (SHM) and asset management are being carried out. Since the sensor networks continuously provide real-time data from the structure being monitored, they constitute a more realistic image of the actual status of the structure where the maintenance or repair work can be scheduled based on real requirements. This review is aimed at providing a wealth of knowledge from the working principles of sensors commonly used in SHM, to artificial-intelligence-based digital twin systems used in SHM and proposes a new asset management framework. The way this paper is structured suits researchers and practicing experts both in the fields of sensors as well as in asset management equally.

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“…Given these scenarios, IoT wireless communication technologies have been developed. For example, in [ 12 ], the advantages of using wireless sensors on a railway bridge are discussed. The study presented in [ 13 ] describes the implementation of a complete IoT platform for a SHM procedure.…”

Section: Introductionmentioning

confidence: 99%

GPS-Based Network Synchronization of Wireless Sensors for Extracting Propagation of Disturbance on Structural Systems

Salazar-Lopez,

Millan-Almaraz,

Gaxiola-Camacho

et al. 2023

Sensors

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Wireless sensor networks (WSNs) have gained a positive popularity for structural health monitoring (SHM) applications. The underlying reason for using WSNs is the vast number of devices supporting wireless networks available these days. However, some of these devices are expensive. The main objective of this paper is to develop a cost-effective WSN based on low power consumption and long-range radios, which can perform real-time, real-scale acceleration data analyses. Since a detection system for vibration propagation is proposed in this paper, the synchronized monitoring of acceleration data is necessary. To meet this need, a Pulse Per Second (PPS) synchronization method is proposed with the help of GPS (Global Positioning System) receivers, representing an addition to the synchronization method based on real-time clock (RTC). As a result, RTC+PPS is the term used when referring to this method in this paper. In summary, the experiments presented in this research consist in performing specific and synchronized measurements on a full-scale steel I-beam. Finally, it is possible to perform measurements with a synchronization success of 100% in a total of 30 samples, thereby obtaining the propagation of vibrations in the structure under consideration by implementing the RTS+PPS method.

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Cloud Architecture For IOT Based Bridge Monitoring Applications

Cited by 10 publications

References 11 publications

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Next Generation Edge-Cloud Continuum Architecture for Structural Health Monitoring

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

GPS-Based Network Synchronization of Wireless Sensors for Extracting Propagation of Disturbance on Structural Systems

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