Structural Health Monitoring and Prognostic of Industrial Plants and Civil Structures: A Sensor to Cloud Architecture

Zonzini, Federica; Aguzzi, Cristiano; Gigli, Lorenzo; Sciullo, Luca; Testoni, Nicola; Marchi, Luca De; Felice, Marco Di; Cinotti, Tullio Salmon; Mennuti, Canio; Marzani, Alessandro

doi:10.1109/mim.2020.9289069

Cited by 43 publications

(16 citation statements)

References 10 publications

(10 reference statements)

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“…Despite its ease of implementation, such an IoT approach lacks consistency in that it cannot capture the inherent complexities of the current condition monitoring requirements. A variation of the traditional three-layer architecture for SHM was proposed by Zonzini et al [40]. The architecture encompasses the particular features of SHM-based sensors (e.g., accelerometers) and introduced computing capabilities in the network edge, which is responsible for exposing the IoT devices through an interoperable interface.…”

Section: Related Workmentioning

confidence: 99%

An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario

et al. 2023

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Section: Related Workmentioning

confidence: 99%

An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario

et al. 2023

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“…The third category of the publications associated with low-cost development of acceleration in buildings contains 9 articles. Various methods have been proposed by different authors for evaluating the dynamic behavior of the scale structures in the laboratory [159,[171][172][173]. A wireless low-cost data acquisition system implemented by Lynch et al and mounted on a three-story building for real time monitoring of acceleration and velocity of different degree of freedom of the case study [173].…”

Section: Vibration Monitoring (Category 5)mentioning

confidence: 99%

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

et al. 2021

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In recent years, many scholars have dedicated their research to the development of low-cost sensors for monitoring of various parameters. Despite their high number of applications, the state of the art related to low-cost sensors in building monitoring has not been addressed. To fill this gap, this article presents a systematic review, following well-established methodology, to analyze the state of the art in two aspects of structural and indoor parameters of buildings, in the SCOPUS database. This analysis allows to illustrate the potential uses of low-cost sensors in the building sector and addresses the scholars the preferred communication protocols and the most common microcontrollers for installation of low-cost monitoring systems. In addition, special attention is paid to describe different areas of the two mentioned fields of building monitoring and the most crucial parameters to be monitored in buildings. Finally, the deficiencies in line with limited number of studies carried out in various fields of building monitoring are overviewed and a series of parameters that ought to be studied in the future are proposed.

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“…A Smart Sensor Network (SSN) composed of low-power, light-weight and small-footprint accelerometer sensors was installed on a high-rise (5 m height) five-story building for the purpose of vibration analysis [12]. The physical layer of the monitoring network is composed of three different types of devices: (i) multiple peripheral sensor nodes (SNs) permanently attached to the structure, (ii) a few cluster head nodes (CHs) orchestrating a small subset of SNs and (iii) one aggregating unit (Bridge) in charge of data management and outsourcing.…”

Section: A Shm Sensor Networkmentioning

confidence: 99%

A Toolchain Architecture for Condition Monitoring Using the Eclipse Arrowhead Framework

Montori

Zyrianoff

Gigli

et al. 2021

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society

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Condition Monitoring is one of the most critical applications of the Internet of Things (IoT) within the context of Industry 4.0. Current deployments typically present interoperability and management issues, requiring human intervention along the engineering process of the systems; in addition, the fragmentation of the IoT landscape, and the adoption of poor architectural solutions often make it difficult to integrate thirdparty devices in a seamless way. In this paper, we tackle these issues by proposing a tool-driven architecture that supports heterogeneous sensor management through well-established interoperability solutions for the IoT domain, i.e. the Eclipse Arrowhead framework and the recent Web of Things (WoT) standard released by the W3C working group. We deploy the architecture in a real Structural Health Monitoring (SHM) scenario, which validates each developed tool and demonstrates the increased automation derived from their combined usage.

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Structural Health Monitoring and Prognostic of Industrial Plants and Civil Structures: A Sensor to Cloud Architecture

Abstract: When citing, please refer to the published version.

Cited by 43 publications

References 10 publications

An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario

An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

A Toolchain Architecture for Condition Monitoring Using the Eclipse Arrowhead Framework

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