Health-Monitoring Systems for Marine Structures: A Review

Silva-Campillo, Arturo; Pérez-Arribas, F.; Suárez, José Félix Restrepo

doi:10.3390/s23042099

Cited by 11 publications

(3 citation statements)

References 137 publications

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“…This research was conducted to combine the IoT concept with electronic sensors specialized in performing parametric readings of water efficiently, quickly, and necessary to optimize the time and cost of these processes [1,2,[4][5][6][7][8][9][10][11][12][13][14][15][16]27,[31][32][33]. We used probes manufactured by Atlas Scientific (New York, NY, USA).…”

Section: The Kernel Module and Its Assignmentsmentioning

confidence: 99%

“…The internet of underwater things (IoUT) is a subset of the IoT in which underwater sensors continuously collect data about ocean ecosystems. Predictive analytics can present valuable insights to the stakeholders associated with environmentalists, marine explorers, and oceanographers for decision-making and intelligence about the ocean collected from marine data [6,16,17].…”

Section: Introductionmentioning

confidence: 99%

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In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

Zukeram

Provensi

Oliveira

et al. 2023

Water

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The monitoring of water resources through conventional methods, related to a manual process when performing the sample collection, followed by laboratory analysis, presents some difficulties concerning the logistics of the process, such as access to the interior of a lake, in addition to often being based on a small number of samples. The concept of the internet of things (IoT) is used here to collect data through five parametric probes contained in the floating station located inside a lake and inform them in real time continuously. The main objective of this research is to demonstrate the applicability of the IoT concept in the continuous monitoring of water in a lentic environment. Therefore, it is necessary to develop a tool for this. Upon reaching this objective, the advantages observed in this research confirmed that the IoT paradigm is an essential resource, justifying a natural tendency to establish itself when there is a need to collect data efficiently and continuously. Furthermore, the experimental result proves the IoT concept’s efficiency, agility, and reliability to environmental issues, especially regarding the most significant natural and indispensable resource for the planet, water.

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Section: The Kernel Module and Its Assignmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

Zukeram

Provensi

Oliveira

et al. 2023

Water

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“…Structural health monitoring has always been an important research direction in the field of civil engineering [1,2]. Damage detection and performance evaluation of the structures are crucial to reduce maintenance costs [3,4].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation

Tang

Chen

et al. 2023

Sensors

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Digital image-correlation (DIC) algorithms rely heavily on the accuracy of the initial values provided by whole-pixel search algorithms for structural displacement monitoring. When the measured displacement is too large or exceeds the search domain, the calculation time and memory consumption of the DIC algorithm will increase greatly, and even fail to obtain the correct result. The paper introduced two edge-detection algorithms, Canny and Zernike moments in digital image-processing (DIP) technology, to perform geometric fitting and sub-pixel positioning on the specific pattern target pasted on the measurement position, and to obtain the structural displacement according to the change of the target position before and after deformation. This paper compared the difference between edge detection and DIC in accuracy and calculation speed through numerical simulation, laboratory, and field tests. The study demonstrated that the structural displacement test based on edge detection is slightly inferior to the DIC algorithm in terms of accuracy and stability. As the search domain of the DIC algorithm becomes larger, its calculation speed decreases sharply, and is obviously slower than the Canny and Zernike moment algorithms.

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A local digital twin approach for identifying, locating and sizing cracks in CHS X-joints subjected to brace axial loading

Cheok,

Qian,

Chen

et al. 2024

Engineering Structures

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Health-Monitoring Systems for Marine Structures: A Review

Cited by 11 publications

References 137 publications

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation

A local digital twin approach for identifying, locating and sizing cracks in CHS X-joints subjected to brace axial loading

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