Low Cost Embedded IoT System to Record Meteorological, and Inertial Data in Remote Places

Yaneth Chavez-Rivera, Brayan Espinoza-Garcia, Pablo R. Yanyachi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This is an Arduino-based low-cost system capable of measure, record and transmits meteorological, inertial, and positioning data in real-time from remote places. This prototype consists of sensors (accelerometers, gyroscopes, thermometers, magnetometers, GPS, barometer, hygrometer, Ultraviolet (UV), and air quality sensor) to determine weather or unusual movement events as earthquakes in remote places. The Embedded System can be connected to a Raspberry Pi to transmit real-time data through MQTT and HTTP protocols. The information can be recollected by any device connected to the internet. Also, the system is capable to recollect data for earthquakes alerts and for environmental monitoring.

Original languageEnglish
Title of host publication2021 IEEE URUCON, URUCON 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages273-277
Number of pages5
ISBN (Electronic)9781665424431
DOIs
StatePublished - 2021
Event2021 IEEE URUCON, URUCON 2021 - Montevideo, Uruguay
Duration: 24 Nov 202126 Nov 2021

Publication series

Name2021 IEEE URUCON, URUCON 2021

Conference

Conference2021 IEEE URUCON, URUCON 2021
Country/TerritoryUruguay
CityMontevideo
Period24/11/2126/11/21

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors wish to express their appreciation to the National University of San Agustin - UNSA, for funding this research under contract N° IBA-049-2016. The authors also acknowledge the support of IAAPP and Characato’s Observatory.

Funding Information:
The authors wish to express their appreciation to the National University of San Agustin-UNSA, for funding this research under contract N? IBA-049-2016. The authors also acknowledge the support of IAAPP and Characato's Observatory.

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Embedded systems
  • IoT
  • monitoring integrated sensors
  • volcano monitoring

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