Distributed fibre optic inclinometer with cloud-based monitoring system

Mohamad, Hisham; Beddelee, A. A. A. M.; Ghazali, Muhammad Farid; Lee, Hsiu Eik; Chaiyasarn, Krisada; Nasir, Muhammad Yusoff M.

doi:10.1016/j.jestch.2023.101406

Cited by 6 publications

(2 citation statements)

References 31 publications

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“…Therefore, real-time inversion of surrounding rock parameters is needed to guide the construction of underground powerhouse 20 , 37 . To realize the real-time analysis of monitoring data and improve the utilization rate of monitoring data, cloud computing (CC) 38 , 39 and internet of things (IOT) 40 , 41 are gradually used in geotechnical engineering monitoring and analysis. For example, Sun et al 42 designed a tailings dam monitoring and pre-alarm system (TDMPAS) based on the IOT and the CC, which realized the real-time monitoring of the saturation line, water level, and dam deformation of a tailings dam.…”

Section: Introductionmentioning

confidence: 99%

Cloud inversion analysis of surrounding rock parameters for underground powerhouse based on PSO-BP optimized neural network and web technology

Qu,

Xie,

Pei

et al. 2024

Sci Rep

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Aiming at the shortcomings of the BP neural network in practical applications, such as easy to fall into local extremum and slow convergence speed, we optimized the initial weights and thresholds of the BP neural network using the particle swarm optimization (PSO). Additionally, cloud computing service, web technology, cloud database and numerical simulation were integrated to construct an intelligent feedback analysis cloud program for underground engineering safety monitoring based on the PSO-BP algorithm. The program could conveniently, quickly, and intelligently carry out numerical analysis of underground engineering and dynamic feedback analysis of surrounding rock parameters. The program was applied to the cloud inversion analysis of the surrounding rock parameters for the underground powerhouse of the Shuangjiangkou Hydropower Station. The calculated displacement simulated with the back-analyzed parameters matches the measured displacement very well. The posterior variance evaluation shows that the posterior error ratio is 0.045 and the small error probability is 0.999. The evaluation results indicate that the intelligent feedback analysis cloud program has high accuracy and can be applied to engineering practice.

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Section: Introductionmentioning

confidence: 99%

Cloud inversion analysis of surrounding rock parameters for underground powerhouse based on PSO-BP optimized neural network and web technology

Qu,

Xie,

Pei

et al. 2024

Sci Rep

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“…To this extent, inclinometers and inclinometer chains represent the most common and accurate methods used in subsoil and structural health monitoring [1,6,15,16]. They provide accurate measurements on underground displacements, thus providing valuable information on the eventuality of possible dangerous ground movements such as landslides, subsidence, or rupture of a structural element [17].…”

Section: Introductionmentioning

confidence: 99%

Laboratory Assessment of an In-Place Inclinometer Chain for Structural and Geotechnical Monitoring

Freddi,

Mingazzi,

Pozzi

et al. 2023

Sensors

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The necessity of early warning systems to ensure people’s safety requires the usage of real-time monitoring instrumentation. To meet the required real-time monitoring performance, in-place inclinometer systems represent one of the most common solutions to obtain accurate measures over time. This paper presents the results of a laboratory tests campaign performed on the prototypes and preproduction samples of an in-place inclinometer chain for structural and geotechnical monitoring applications. First, each element sensor has been calibrated to reach a proper level of measure accuracy. Eventually, laboratory tests are carried out on both a single instrument (element) and on the complete measurement chain (system). The adopted centering device, obtained as a combination of a Cardan joint and four spring plungers avoids bending of elements by preventing fictitious displacement measurements and permits the creation of a kinematic chain that accommodates the displacements of a grooveless tube. A specially designed and constructed test set-up that permits assigning a movement to each node has been employed to test a specifically designed centering device and check the system stability over time. Different scenarios have been investigated to determine the accuracy and repeatability of the measures in replicating real cases. The results demonstrated the necessity of validating a measurement chain by analyzing its overall behavior and not limiting the study on the performances of a single element.

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Stability analysis of pumped storage hydropower plant in abandoned open-pit mine affected by dynamic surface subsidence of combined mining

Li,

Lei,

Wang

et al. 2024

Environ Sci Pollut Res

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Distributed fibre optic inclinometer with cloud-based monitoring system

Cited by 6 publications

References 31 publications

Cloud inversion analysis of surrounding rock parameters for underground powerhouse based on PSO-BP optimized neural network and web technology

Cloud inversion analysis of surrounding rock parameters for underground powerhouse based on PSO-BP optimized neural network and web technology

Laboratory Assessment of an In-Place Inclinometer Chain for Structural and Geotechnical Monitoring

Stability analysis of pumped storage hydropower plant in abandoned open-pit mine affected by dynamic surface subsidence of combined mining

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