Wireless Real Time Monitoring of Soil and Soil-Structure Systems

Abdoun, Tarek; Abe, Akio; Bennett, Victoria; Danisch, L.; Satô, Masayoshi; Tokimatsu, Kohji; Ubilla, Javier

doi:10.1061/40905(224)5

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…Current applications of wireless sensors include measurements of earth-slope inclination, landslides, strong ground motion, and soil-structure interactions [6] [10]. In the examples cited above the sensors are attached to the exterior of the system of interest and embedded using supplementary frames and are designed to measure a specific property (point measurement) and transmit the collected data via wireless communication.…”

Section: Subsurface Geo-sensing and Monitoring Using Wsnsmentioning

confidence: 99%

Challenges of subsurface geo-sensing and monitoring using wireless signal networks

et al. 2012

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Real time global subsurface geo-sensing and monitoring can be achieved using a new concept of wireless sensor networks. The new concept uses the signal strength variation of wireless sensor nodes in the host medium as the main indicator of a subsurface event or change in physical properties of the soil such as water content, density, and formation of discontinuities. The feasibility of implementing the wireless signal networks for subsurface monitoring has been investigated through laboratory simulation experiments which demonstrated that the wireless signal networks is a viable approach for a reliable geo-sensing and monitoring of subsurface hazards. The challenges facing the wireless signal networks for implementation in geo-sensing and subsurface monitoring are discussed in this paper. These challenges are divided into network and geo-media categories and potential solutions to these challenges are offered for most cases.

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Section: Subsurface Geo-sensing and Monitoring Using Wsnsmentioning

confidence: 99%

Challenges of subsurface geo-sensing and monitoring using wireless signal networks

et al. 2012

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“…Current applications of wireless sensors include measurements of earth-slope inclination, landslides, strong ground motion, and soil-structure interactions [11–15]. In the examples cited above the sensors are attached to the exterior of the system of interest and embedded using supplementary frames.…”

Section: Existing Monitoring Techniquesmentioning

confidence: 99%

Subsurface Event Detection and Classification Using Wireless Signal Networks

Yoon

Ghazanfari

Cheng

et al. 2012

Sensors

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Subsurface environment sensing and monitoring applications such as detection of water intrusion or a landslide, which could significantly change the physical properties of the host soil, can be accomplished using a novel concept, Wireless Signal Networks (WSiNs). The wireless signal networks take advantage of the variations of radio signal strength on the distributed underground sensor nodes of WSiNs to monitor and characterize the sensed area. To characterize subsurface environments for event detection and classification, this paper provides a detailed list and experimental data of soil properties on how radio propagation is affected by soil properties in subsurface communication environments. Experiments demonstrated that calibrated wireless signal strength variations can be used as indicators to sense changes in the subsurface environment. The concept of WSiNs for the subsurface event detection is evaluated with applications such as detection of water intrusion, relative density change, and relative motion using actual underground sensor nodes. To classify geo-events using the measured signal strength as a main indicator of geo-events, we propose a window-based minimum distance classifier based on Bayesian decision theory. The window-based classifier for wireless signal networks has two steps: event detection and event classification. With the event detection, the window-based classifier classifies geo-events on the event occurring regions that are called a classification window. The proposed window-based classification method is evaluated with a water leakage experiment in which the data has been measured in laboratory experiments. In these experiments, the proposed detection and classification method based on wireless signal network can detect and classify subsurface events.

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“…Geo-event monitoring using EM transmission in geological materials such as soil and rock formations with embedded radios has great potential for exploration. Examples of past applications include: measurements of earth-slope inclination (Furlani et al 2005); landslides, strong ground motion and down-hole characterization (Glaser et al 2005, Chen et al 2006; pore pressures and displacements during tunnel construction (Cheekiralla 2005, Nielsen andKoseoglu 2007); in soil and soil-structure interaction (Abdoun et al 2007); in centrifuge experiments (Zornberg et al 2005); and in coal-mine monitoring (Bai et al 2007, Wang et al 2007. In all the examples cited above, the sensors are either attached to the exterior of the monitored system or embedded using supplementary frames.…”

Section: Introductionmentioning

confidence: 99%

Geotechnical sensing using electromagnetic attenuation between radio transceivers

Ghazanfari

Pamukcu

Yoon

et al. 2012

Smart Mater. Struct.

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Monitoring the onset of a geo-event such as the intrusion of a chemical plume or a slow progressive mass slide that results in marked changes in the physical properties of the host soil could be potentially accomplished using a distributed network of embedded radio transceivers. This paper introduces a new concept of subsurface geo-event monitoring, which takes advantage of the spatial and temporal variations in signal strength of electromagnetic (EM) waves transmitted within the net of distributed radios within a sensing area. Results of experiments in the laboratory and the field demonstrated that variations in EM signal strength could be used to detect physical changes in the subsurface. Changes in selected physical properties of host soil including water content, density, and formation of discontinuities could be discerned from the changes in the signal strength of the transmitted wave between embedded radio transceivers. Good agreement was observed between a theoretical model and the experimental results for inter-transceiver distances less than 55 cm. These results demonstrated a viable new approach for distributed sensing and monitoring of subsurface hazards for civil infrastructure within a networked domain of radio transceivers.

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Wireless Real Time Monitoring of Soil and Soil-Structure Systems

Cited by 9 publications

References 5 publications

Challenges of subsurface geo-sensing and monitoring using wireless signal networks

Challenges of subsurface geo-sensing and monitoring using wireless signal networks

Subsurface Event Detection and Classification Using Wireless Signal Networks

Geotechnical sensing using electromagnetic attenuation between radio transceivers

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