Use of low-cost MEMS technology in early warning system against landslide threats

Ćmielewski, Bartłomiej

doi:10.13168/agg.2013.0049

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…MEMS-based sensor systems al-ready are being widely used for geotechnical instrumentation and landslide monitoring, especially since open-source microprocessors have become readily available in the last years [31,[43][44][45][46][47][48][49][50][51][52][53][54][55][56][57]. They can be a good addition to classic monitoring methods, as discussed by Cmielewski et al (2013) who investigated the accuracy and precision of a low-cost MEMS accelerometer [53]. They have been in use for rockfall monitoring [43,58,59], but also for shallow rotational landslides.…”

Section: The Internet Of Things and Landslide Monitoringmentioning

confidence: 99%

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Gamperl

Singer

Thuro

2021

Sensors

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Worldwide, cities with mountainous areas struggle with an increasing landslide risk as a consequence of global warming and population growth, especially in low-income informal settlements. Landslide Early Warning Systems (LEWS) are an effective measure to quickly reduce these risks until long-term risk mitigation measures can be realized. To date however, LEWS have only rarely been implemented in informal settlements due to their high costs and complex operation. Based on modern Internet of Things (IoT) technologies such as micro-electro-mechanical systems (MEMS) sensors and the LoRa (Long Range) communication protocol, the Inform@Risk research project is developing a cost-effective geosensor network specifically designed for use in a LEWS for informal settlements. It is currently being implemented in an informal settlement in the outskirts of Medellin, Colombia for the first time. The system, whose hardware and firmware is open source and can be replicated freely, consists of versatile LoRa sensor nodes which have a set of MEMS sensors (e.g., tilt sensor) on board and can be connected to various different sensors including a newly developed low cost subsurface sensor probe for the detection of ground movements and groundwater level measurements. Complemented with further innovative measurement systems such as the Continuous Shear Monitor (CSM) and a flexible data management and analysis system, the newly developed LEWS offers a good benefit-cost ratio and in the future can hopefully find application in other parts of the world.

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Section: The Internet Of Things and Landslide Monitoringmentioning

confidence: 99%

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Gamperl

Singer

Thuro

2021

Sensors

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“…In recent years, with the development of microelectronic techniques, early warning systems utilizing MEMS (microelectromechanical systems) technology have been proposed to monitor and estimate the risk of slope failure [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. Compared to conventional instruments used to monitor landslides, MEMS sensors, such as accelerometer sensors [30][31][32] and tilt sensors [33][34][35][36][37][38][39], are small, inexpensive and sophisticated, which also greatly reduces the cost of building early warning systems. The low-power radio communication and modular design make the installation and maintenance of the whole system more convenient than cable-connected devices, and the data transmission is more efficient.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Surface Tilting in the Failure Process of Shallow Landslides

Qiao

Feng

et al. 2020

Sensors

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In recent decades, early warning systems to predict the occurrence of landslides using tilt sensors have been developed and employed in slope monitoring due to their low cost and simple installation. Although many studies have been carried out to validate the efficiency of these early warning systems, few studies have been carried out to investigate the tilting direction of tilt sensors at the slope surface, which have revealed controversial results in field monitoring. In this paper, the tilting direction and the pre-failure tilting behavior of slopes were studied by performing a series of model tests as well as two field tests. These tests were conducted under various testing conditions. Tilt sensors with different rod lengths were employed to investigate the mechanism of surface tilting. The test results show that the surface tilting measured by the tilt sensors with no rods and those with short rods located above the slip surface are consistent, while the tilting monitored by the tilt sensors with long rods implies an opposite rotational direction. These results are important references to understand the controversial surface tilting behavior in in situ landslide monitoring cases and imply the correlation between the depth of the slip surface of the slope and the surface tilting in in situ landslide monitoring cases, which can be used as the standard for tilt sensor installation in field monitoring.

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“…Individual sensors have already been used as components in the different monitoring systems that were applied for the detection and measurement of landslide movements, as GNSS (Global Navigation Satelite System) (Cina et al 2014, Biagi et al 2016, Gümüş et al 2019 and SAR (Synthetic Aperture Radar) (Cascini et al 2010, Raucoules et al 2013, Schlögel et al 2015, Strozzi et al 2018. IMU (Inertial Measurement Unit) sensors have mostly been used in laboratory experiments to determine their usability in measuring ground movements (Abdoun et al 2006, Hanto et al 2011, Ćmielewski et al 2013, Tran et al 2015, Kumar & Naidu 2015, Leng Ooi et al 2016, Lo Iacon et al 2017. Less frequently they were applied to the field to measure landslide velocity (Wang et al 2017, Yang et al 2017, Awaludin & Agni Dhewa 2018.…”

Section: Introductionmentioning

confidence: 99%

Unusual becoming Usual: recent persistent-rainstorm events and their implications for debris flow risk management in the northern Apennines of Italy

Corsini¹,

Ciccarese²,

Truffelli³

2019

Proceedings of the 4th Regional Symposium on Landslides in the Adriatic - Balkan Region

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Monitoring is important for assessing the stability of the ground and for confirming the validity of the design during the construction and operation of structures. The ideal monitoring system for projects in Rock and Geotechnical Engineering would be able to monitor the behavior of small to extensive areas continuously and automatically with high accuracy. In addition, the costs would be low and the system would be easy to handle. Satellite technology has the potential to realize the above monitoring system by combining it with conventional geotechnical instruments. In this paper, satellite technology for displacement monitoring, i.e., GPS and SAR, is firstly outlined and then the concept of spatiotemporal continuous displacement monitoring is introduced. The use of both satellite technology and geotechnical instruments is effective for geotechnical monitoring. Practical applications of GPS for landslide monitoring and collaborative researches using DInSAR with Balkan countries are described.

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Use of low-cost MEMS technology in early warning system against landslide threats

Cited by 5 publications

References 1 publication

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems

Investigation on Surface Tilting in the Failure Process of Shallow Landslides

Unusual becoming Usual: recent persistent-rainstorm events and their implications for debris flow risk management in the northern Apennines of Italy

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