Implementation of a landslide monitoring system as a wireless sensor network

Foşalău, Cristian; Zet, Cristian; Petrisor, Daniel

doi:10.1109/uemcon.2016.7777813

Cited by 18 publications

(7 citation statements)

References 13 publications

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“…These thresholds can be modified and customized depending on the patient. The threshold is set to every ten centimeters so as to result in an average, to have an average error that represents the pressure differences in the atmosphere, whether we are talking about normal walking, climbing the stairs or going down them, [8].…”

Section: Equipment Designmentioning

confidence: 99%

Equipment for the Detection of People Falling

Oancea

2023

AUCEE

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There are people whose state of health requires permanent supervision. There are a number of medical or aging-related conditions that can have quite an impact on the daily life of these people, therefore, in order to provide them with proper assistance and care, various health monitoring devices have been developed. This article proposes the use of advanced technologies with the help of which we can observe and record the changes in the position of a person with such problems. The equipment has a sensor that can determine the position of the body by measuring the height from the ground. The device can be integrated into a belt or bracelet to record data in real time. This data is analyzed and interpreted by means of a program. The program can detect changes in posture, providing notifications and alerts when the person has suffered a fall. Greatly simplifying surveillance, the device also provides an objective assessment of a person's balance ability. Since each person has a specific posture and movement, the developed device must be tested and adapted to adjust the coefficients in the program, to avoid the triggering of false events.

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Section: Equipment Designmentioning

confidence: 99%

Equipment for the Detection of People Falling

Oancea

2023

AUCEE

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“…WSN: This is proposed for the Rainfall-Induced Landslide Early Warning and Monitoring System because it has proven suitable for applications in environmental monitoring due to its flexibility, real-time data capture, and transmission (Baronti et al 2007;Rawat et al 2014;Fosalau et al 2016). In this study, the WSN consists of six sensor nodes and one sink node.…”

Section: Sensor and Wireless Network For Rainfall-induced Landslide mentioning

confidence: 99%

Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam)

Anh

Tran²,

Nguyen³

et al. 2017

Geomatics, Natural Hazards and Risk

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This paper proposes and implements an early warning and monitoring system for rainfall-induced landslide (named as EWM RIL) with a case study at the Nam Dan landslide (northern Vietnam). The proposed system consists of six sensor nodes and one rainfall station that are used to sense large amounts of data in real-time such as soil moisture, pore-water pressure (PWP), movement status, and rainfall. In addition, a new flexible configuration for the wireless communication system is proposed that is capable not only to save the energy consuming but also to ensure the reliability of the system. Using wireless communication system, the sensed data were sent to the computer station for analyzing and predicting the instability of the landslide in terms of factor of safety (FoS) using the finite element seepage analysis and the limit equilibrium slope stability analysis methods. These methods are available in the SEEP/W and SLOPE/W modules of the GeoStudio software. Based on the analyzing results, the system proposed three warning levels for the landslide Early, Intermediate, and Imminent. Experiment result in the rainy season from August to September 2016 has proven the validity of the EWM RIL system. The result of this study is useful for landslide risk prevention and management in landslide prone-areas.

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“…Aguirre et al [4] applied WSNs to the real-time monitoring of urban traffic environments. Fosalau et al [5] monitored catastrophic natural phenomena (e.g., landslides) by deploying highly sensitive sensor nodes to perceive the moving direction and displacement of soil.…”

Section: Introductionmentioning

confidence: 99%

Differential Evolution-Based 3-D Directional Wireless Sensor Network Deployment Optimization

Cao

Kang

Zhao

et al. 2018

IEEE Internet Things J.

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Wireless sensor networks (WSNs) are applied more and more widely in real life. In actual scenarios, 3D directional wireless sensors (DWSs) are constantly employed, thus, research on the real-time deployment optimization problem of 3D directional wireless sensor networks (DWSNs) based on terrain big data has more practical significance. Based on this, we study the deployment optimization problem of DWSNs in the 3D terrain through comprehensive consideration of coverage, lifetime, connectivity of sensor nodes, connectivity of cluster headers and reliability of DWSNs. We propose a modified differential evolution (DE) algorithm by adopting CR-sort and polynomial-based mutation on the basis of the cooperative coevolutionary (CC) framework, and apply it to address deployment problem of 3D DWSNs. In addition, to reduce computation time, we realize implementation of message passing interface (MPI) parallelism. As is revealed by the experimentation results, the modified algorithm proposed in this paper achieves satisfying performance with respect to either optimization results or operation time.

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Implementation of a landslide monitoring system as a wireless sensor network

Cited by 18 publications

References 13 publications

Equipment for the Detection of People Falling

Equipment for the Detection of People Falling

Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam)

Differential Evolution-Based 3-D Directional Wireless Sensor Network Deployment Optimization

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