Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems

Scuro, Carmelo; Lamonaca, Francesco; Porzio, Saverio; Olivito, Renato Sante

doi:10.1016/j.conbuildmat.2021.123092

Cited by 72 publications

(29 citation statements)

References 117 publications

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“…Through a lot of laboratory researches, they installed a node of wireless sensors on a bridge in the Alamosa Canyon and also deployed a wired monitoring system. At the same time, Scuro et al [15] verified the function of the wireless sensor module and compared wired monitoring with wireless monitoring. Lin et al [16] introduced the intelligent gateway system composed of hardware, software, and communication protocols in detail and conducted a field test on a farm.…”

Section: Related Workmentioning

confidence: 99%

Analysis of the Influence of Slope Sliding on the Stability of Underground Diaphragm Wall Bridge Foundation Based on Wireless Sensor Network

Wang

Zhao

2022

Journal of Sensors

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Real-time monitoring, condition assessment, early warning processing, and damage identification of underground diaphragm wall bridge structures are the current research trends. Based on the wireless sensor network theory, this paper constructs the stability model of the slope sliding on the underground diaphragm wall bridge foundation. The model builds a complete set of underground diaphragm wall bridge vibration signal acquisition and monitoring platform through wireless sensor network node data acquisition and solves the problem of data accuracy measurement by using theoretical analysis, software and hardware design, software simulation, and experimental verification methods. During the simulation process, experiments were designed such as slope sliding vibration signal acquisition data accuracy test, sensor node wireless charging power test and modeling, lithium battery charging power test and modeling, wireless rechargeable sensor node system work test, and other experiments. The experimental results show that the accuracy of the collected vibration signals of the underground diaphragm wall bridge is high, the main working frequency bands are 868 MHz, 915 MHz, and 2.4 GHz, the maximum data transmission rate is 250 Kbps, and the communication distance reaches 100 m, which can meet the requirements of the underground diaphragm wall. The power of wireless charging of lithium batteries reaches 4.5 mW, which effectively improves the stability measurement accuracy of underground diaphragm wall bridge foundations.

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Section: Related Workmentioning

confidence: 99%

Analysis of the Influence of Slope Sliding on the Stability of Underground Diaphragm Wall Bridge Foundation Based on Wireless Sensor Network

Wang

Zhao

2022

Journal of Sensors

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“…Although several works were carried out to remotely monitor the structural health, based on IoT technology for different areas, i.e., agriculture [4], civil infrastructure [5], and smart cities [6], few works have explored IoT systems for monitoring the structural health of guyed towers. Most of these works combined monitoring the tower's structural inclination, due to environmental parameters that can accelerate the tower deterioration, such as temperature, humidity, and wind action.…”

Section: Related Workmentioning

confidence: 99%

An IoT-Based System for Monitoring the Health of Guyed Towers in Overhead Power Lines

Dias

Oliveira

Mendonca

et al. 2021

Sensors

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The collapse of overhead power line guyed towers is one of the leading causes of power grid failures, subjecting electricity companies to pay considerable, high-value fines. In this way, the current work proposes a novel and complete framework for the remote monitoring of mechanical stresses in guyed towers. The framework method comprises a mesh network for data forwarding and neural networks to improve the performance of Low-Power and Lossy Networks. The method also considers the use of multiple sensors in the sensor fusion technique. As a result, the risk of collapse of guyed cable towers reduces, due to the remote monitoring and preventive actions promoted by the framework. Furthermore, the proposed method uses multiple input variable fusions, such as accelerometers and tension sensors, to estimate the tower’s displacement. These estimations help address the structural health of the tower against failures (i.e., loosening of the stay cables, displacement, and vibrations) that can cause catastrophic events, such as tower collapse or even cable rupture.

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“…Based on a set warning values, the safety state of the structure is analyzed over time. When the structure stress is close to the alarm threshold, an emergency plan is initiated to prevent the damage of the shaft lining structure [15].…”

Section: Introductionmentioning

confidence: 99%

Application of FBG Sensor to Safety Monitoring of Mine Shaft Lining Structure

Yao

et al. 2022

Sensors

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The use of fiber Bragg grating (FBG) sensors is proposed to solve the technical problem of poor sensor stability in the long-term safety monitoring of shaft lining structures. The auxiliary shaft of the Zhuxianzhuang coal mine was considered as the engineering background, and a test system implementing FBG sensors was established to monitor the long-term safety of the shaft lining structure. Indoor simulation testing revealed that the coefficient of determination (r2) between the test curves of the FBG sensor and the resistance strain gauge is greater than 0.99 in both the transverse and vertical strains. Therefore, the FBG sensor and resistance strain gauge test values are similar, and the error is small. The early warning value was obtained by calculation, according to the specific engineering geological conditions and shaft lining structure. The monitoring data obtained for the shaft lining at three test levels over more than three years reveal that the measured vertical strain value is less than the warning value, indicating that the shaft lining structure is currently in a safe state. The analysis of the monitoring data reveals that the vertical strain increment caused by the vertical additional force is approximately 0.0752 με/d. As the mine drainage progresses, the increasing vertical additional force acting on the shaft lining will compromise the safety of the shaft lining structure. Therefore, the monitoring must be enhanced to facilitate decision-making for safe shaft operation.

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Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems

Cited by 72 publications

References 117 publications

Analysis of the Influence of Slope Sliding on the Stability of Underground Diaphragm Wall Bridge Foundation Based on Wireless Sensor Network

Analysis of the Influence of Slope Sliding on the Stability of Underground Diaphragm Wall Bridge Foundation Based on Wireless Sensor Network

An IoT-Based System for Monitoring the Health of Guyed Towers in Overhead Power Lines

Application of FBG Sensor to Safety Monitoring of Mine Shaft Lining Structure

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