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Optimization of Low-Cost Monitoring Systems for On-Site Earthquake Early-Warning of Critical Infrastructures

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12250))

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Abstract

In the last years, monitoring systems based on low-cost and miniaturized sensors (MEMS) revealed as a very successful compromise between the availability of data and their quality. Also applications in the field of seismic and structural monitoring have been constantly increasing in term of number and variety of functions. Among these applications, the implementation of systems for earthquake early warning is a cutting-edge topic, mainly for its relevance for the society as millions of peoples in various regions of the world are exposed to high seismic hazard. This paper introduces the optimization of an already established seismic (and structural) monitoring system, that would make it suitable for the implementation of the earthquake early warning. In particular, the sampling code has been improved and a new triggering algorithm able to automatically detect the ground shaking due to the propagation of the seismic waves has been developed. The preliminary results indicate that the system is very flexible and easy to implement, and encourage to perform further developing steps.

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Author information

Authors and Affiliations

  1. Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Nazionale Terremoti, 00143, Rome, Italy

    Antonino D’Alessandro, Salvatore Scudero, Giovanni Vitale & Andrea Di Benedetto

  2. Dipartimento Scienze della Terra e del Mare DiSTeM, Università degli Studi di Palermo, 90123, Palermo, Italy

    Giovanni Vitale

  3. Dipartimento di Matematica e Informatica, Università degli Studi di Palermo, 90123, Palermo, Italy

    Andrea Di Benedetto & Giosuè Lo Bosco

  4. Dipartimento di Scienze per l’innovazione tecnologica, Istituto Euro Mediterraneo di Scienza e Tecnologia, 90139, Palermo, Italy

    Giosuè Lo Bosco

Authors
  1. Antonino D’Alessandro
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  2. Salvatore Scudero
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  3. Giovanni Vitale
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  4. Andrea Di Benedetto
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  5. Giosuè Lo Bosco
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Corresponding author

Correspondence to Salvatore Scudero .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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D’Alessandro, A., Scudero, S., Vitale, G., Di Benedetto, A., Bosco, G.L. (2020). Optimization of Low-Cost Monitoring Systems for On-Site Earthquake Early-Warning of Critical Infrastructures. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12250. Springer, Cham. https://doi.org/10.1007/978-3-030-58802-1_69

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  • DOI: https://doi.org/10.1007/978-3-030-58802-1_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58801-4

  • Online ISBN: 978-3-030-58802-1

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