A wireless mesh sensing network for early warning

Fischer, Joachim; Redlich, Jens-Peter; Zschau, Jochen; Milkereit, Claus; Picozzi, Matteo; Fleming, Kevin; Brumbulli, Mihal; Lichtblau, B.; Eveslage, Ingmar

doi:10.1016/j.jnca.2011.07.016

Cited by 27 publications

(24 citation statements)

References 8 publications

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“…We are currently conducting a series of experiments in traffic surveillance based on measuring seismic waves with acceleration sensors. This work is a continuation of our work on earthquake early warning [3].…”

Section: Introductionmentioning

confidence: 67%

EMF modeling in traffic surveillance experiments

Scheidgen

Zubow

2012

Proceedings of the Modelling of the Physical World Workshop

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We use a wireless sensor network equipped with acceleration sensors to measure seismic waves caused by rolling traffic. In this paper, we report on our experiences in applying an EMF-based data infrastructure to these experiments. We built an experimentation infrastructure that replaces unstructured text-file based management of data with a modelbased approach. We use EMF to represent sensor data and corresponding analysis results; we use an extension of EMF's resource API to persist data in a database; and we use model transformations to describe data analysis. We conclude that a model based approach leads to safer, better documented, and more reproducible experiments.

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Section: Introductionmentioning

confidence: 67%

EMF modeling in traffic surveillance experiments

Scheidgen

Zubow

2012

Proceedings of the Modelling of the Physical World Workshop

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“…More recently, a wireless mesh sensing network that is able to give an early warning signal on the event of an earthquake was presented (Fischer et al, 2012). This system is comprised of several nodes, deployed in a small geographic area, that measure the intervals between the arrival of the P and S waves.…”

Section: Wsns For Environmental Monitoringmentioning

confidence: 99%

A wireless sensor network for monitoring volcano-seismic signals

Pereira

Trindade

Gonçalves

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Monitoring of volcanic activity is important for learning about the properties of each volcano and for providing early warning systems to the population. Monitoring equipment can be expensive, and thus the degree of monitoring varies from volcano to volcano and from country to country, with many volcanoes not being monitored at all. This paper describes the development of a wireless sensor network (WSN) capable of collecting geophysical measurements on remote active volcanoes. Our main goals were to create a flexible, easy-to-deploy and easy-to-maintain, adaptable, low-cost WSN for temporary or permanent monitoring of seismic tremor. The WSN enables the easy installation of a sensor array in an area of tens of thousands of m 2 , allowing the location of the magma movements causing the seismic tremor to be calculated. This WSN can be used by recording data locally for later analysis or by continuously transmitting it in real time to a remote laboratory for real-time analyses. We present a set of tests that validate different aspects of our WSN, including a deployment on a suspended bridge for measuring its vibration.

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“…This fact, together with the growing development of microcontrollers and open-source electronic platforms, has led to the development of seismic recorders by some researchers. In this way, we can find in the literature different works based on one [24,25], three [26], and more than three [27][28][29][30][31][32] channel recorders.…”

Section: Introductionmentioning

confidence: 99%

“…However, variations in the sampling frequency and amplitude make it unreliable for research purposes. In the works of Picozzi et al [27] and Fischer et al [28], different wireless seismic recorders were developed for earthquake early warning systems. In these cases, it is not explicitly explained how to deal with the strict synchronization among the stations required for seismic noise array measurements.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of an Arduino-Based Plug-and-Play Acquisition System for Seismic Noise Measurements

et al. 2019

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The analysis of seismic noise provides a reliable estimation of the soil properties, which supposes the starting point for the assessment of the seismic hazard. The horizontal-to-vertical spectral ratio technique calculates the resonant frequency of the soil just by using a single three-component sensor. Array measurements require at least several vertical sensors registering simultaneously and their analysis provides an estimation of the surface waves dispersion curve. Although these methods are relatively cheaper than other geotechnical techniques, the cost of the sensors and the multi-channel data acquisition system means that small research groups cannot afford this kind of equipment. In this work, two prototypes for registering seismic noise have been developed and implemented: a three-channel acquisition system, optimized for working with three-component sensors; and a twelve-channel acquisition system, prepared for working simultaneously with twelve vertical geophones. Both prototypes are characterized by being open-hardware, open-software, easy to implement, and low-cost. The main aim is to provide a data acquisition system that can be reproduced and applied by any research group. Both developed prototypes have been tested and compared with other commercial equipment, showing their suitability to register seismic noise and to estimate the soil characteristics.

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A wireless mesh sensing network for early warning

Cited by 27 publications

References 8 publications

EMF modeling in traffic surveillance experiments

EMF modeling in traffic surveillance experiments

A wireless sensor network for monitoring volcano-seismic signals

Design and Implementation of an Arduino-Based Plug-and-Play Acquisition System for Seismic Noise Measurements

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