Hardware-accelerated Wireless Sensor Network for Distributed Structural Health Monitoring

Engel, Andreas; Friedmann, A.; Koch, M.; Rohlfing, J.; Siebel, Thomas; Mayer, Dirk; Koch, Andreas

doi:10.1016/j.protcy.2014.09.046

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…It is worth noting that sustainability factors are most concentrated in the phases of data acquisition, transmission, and storage. Promoting resource efficiency in sensor network placement and operation constitutes the main economic factor [75,90,104]. For the social category, structural safety [86,105], user experience [88,91,106], positive incentives [36], safety of personnel [107], data security [46,108,109], and energy-saving sensor network [86,93,110] hold significant potential to contribute to energy conservation and reduced emissions.…”

Section: Data Processing (Acquisition Transmission Storage)mentioning

confidence: 99%

“…For sensor nodes, managing duty cycles (such as scheduling sensor sleep and awake times and other operational strategies) can facilitate energy conservation at the sensor network level [111]. In data communication, scheduling strategies can address numerous resource efficiency issues, including low data packet utilization, channel congestion, and idle listening [104].…”

Section: Data Processing (Acquisition Transmission Storage)mentioning

confidence: 99%

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Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Wang,

2024

Buildings

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Structural health monitoring (SHM) of civil infrastructure is significant for sustainable development. This review aims to identify the factors influencing sustainable civil infrastructure SHM implementation and analyze the properties, paths, and conditions under which they have an impact. The method adopted is a coding study based on Grounded Theory. First, the SHM implementation process in the literature is categorized through open coding to obtain an implementation framework that contains phase and activity levels. Second, based on this framework, a synthesis is conducted to categorize the influencing factors in dimensions of contents and properties through open coding and axial coding. Finally, selective coding is used to extract the factors that interacted across activities to propose a scheme of influencing factor relationships. The main findings of the synthesis are shown as follows: (1) sensor work scheduling and data transmission are promising endeavors to balance economic and environmental sustainability, while social sustainability is mainly in terms of safety and user experience; (2) the success of sustainable civil infrastructure SHM requires a collaborative technical and organizational effort; (3) since the influencing factors at different phases may interact with each other, the implementation process should emphasize forward-looking and holistic thinking.

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Section: Data Processing (Acquisition Transmission Storage)mentioning

confidence: 99%

Section: Data Processing (Acquisition Transmission Storage)mentioning

confidence: 99%

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Wang,

2024

Buildings

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“…Furthermore, they have offered a comprehensive analysis of the various sensors, protocols, and algorithms utilised in WSNs for SHM. In the paper [18] author,, we examine many case studies that have applied WSNs to SHM of civil infrastructure, critiquing their performance in terms of accuracy, dependability, and real-time monitoring. More effective and trustworthy sensors, communication protocols, and processing algorithms are just a few examples of the areas the authors have indicated for further research in this subject.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a Wireless Sensor Network for Structural Health Monitoring

Chamoli

2022

MSEA

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The importance of wireless sensor networks for monitoring structural health is constantly developing in response to the rising need for security and safety in urban areas. As wireless technology has improved, wireless sensor networks have become an integral part of structural monitoring systems. When compared to traditional wired systems, structural health monitoring systems based on wireless sensor networks provide novel technology with tempting advantages, such as reduced installation and maintenance costs. Due to structural health monitoring, wireless sensor networks now have to deal with even more challenging network design problems. This report summarizes the extensive knowledge gained by researchers using wireless sensor networks for structural health monitoring. We look into the design, functioning, communication methods, and well-known operating systems of wireless sensor nodes, as well as the technologies used in both wired and wireless sensor systems. The most up-to-date summaries of academic and commercial wireless platform technologies are then tallied and evaluated in the context of testbed and field deployments for applications related to structural health monitoring. After this, the primary obstacles connected with using wireless sensor networks for structural health monitoring are outlined, and the feasibility of applying wireless technology for such applications is discussed at length. Finally, the issues that still need fixing in wireless sensor networks for structural health monitoring are analyzed.

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“…Habel W. R. and Rodrigues C. et al [11][12] presented an innovative monitoring method of the SHMS for concrete structures mainly based on the increasingly used Fibre-optic sensor technology. Although many scholars in the world have put forward many data analyzing methods and many structures are installed with SHMS, however, the real function of the health monitoring system has not been realized so far [13][14][15][16][17] .…”

Section: Introductionmentioning

confidence: 99%

Maintenance Management Research of a Large-span Continuous Rigid Frame Bridge Based on Reliability Assessment by Using Strain Monitored Data

Li¹,

Peng

et al. 2021

j. of archit. environ. & struct. eng. res.

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When the bridge components needing maintenance are the world problem at present, and the health monitoring system is considered to be a very helpful tool for solving this problem. In this paper, a large number of strain data acquired from the structural health monitoring system (SHMS) installed on a continuous rigid frame bridge are adopted to do reliability assessment. Firstly, a calculation method of punctiform time-dependent reliability is proposed based on the basic reliability theory, and introduced how to calculate reliability of the bridge by using the stress data transformed from the strain data. Secondly, combined with “Three Sigma” principle and the basic pressure safety reserve requirement, the critical load effects distribution function of the bridge is defined, and then the maintenance reliability threshold for controlling the unfavorable load state which appears in the early operation stage of this type bridge is suggested, and then the combination of bridge maintenance management and health monitoring system is realized. Finally, the transformed stress distribution certifies that the load effects of concrete bridges practically have a normal distribution; as for the concrete continuous rigid frame bridge with C50 strength grade concrete, the retrofit reliability threshold should be valued at 6.13. The methodology suggested in this article can help bridge engineers do effective maintenance of bridges, which can effectively extend the service life of the bridge and bring better economic and social benefits.

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Hardware-accelerated Wireless Sensor Network for Distributed Structural Health Monitoring

Cited by 8 publications

References 14 publications

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Literature Review on the Structural Health Monitoring (SHM) of Sustainable Civil Infrastructure: An Analysis of Influencing Factors in the Implementation

Development of a Wireless Sensor Network for Structural Health Monitoring

Maintenance Management Research of a Large-span Continuous Rigid Frame Bridge Based on Reliability Assessment by Using Strain Monitored Data

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