Seismic events have been responsible for several human catastrophes and Latin America has not been exempt from these events. High magnitude telluric movements have caused the collapse of infrastructures causing hundreds of deaths in different countries. Although these are unpredictable natural disasters, for years seismic alarm systems have been perfected to warn the population. Some of the most current designs have robust models capable of alerting seismic events before they are perceptible to people. Hence, this article presents an early notification seismic alarm system based in Internet of Things, focusing on the use of a SigFox network for the integration between an electronic prototype, data monitoring and seismic warning, in order to make it interoperable with existing systems. The system's tests demonstrated stable and reliable communication, along with a processing algorithm capable of detecting seismic signals that alerts the population 8 seconds after the arrival of the primary waves of an earthquake, giving more time to the evacuation process.
|Title of host publication||2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - Nov 2019|
|Event||39th IEEE Central America and Panama Convention, CONCAPAN 2019 - Guatemala City, Guatemala|
Duration: 20 Nov 2019 → 22 Nov 2019
|Name||2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019|
|Conference||39th IEEE Central America and Panama Convention, CONCAPAN 2019|
|Period||20/11/19 → 22/11/19|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT The authors gratefully acknowledge the support of project named “PLATANO: PLATAforma Tecnológica Inteligente de apoyo para pequeños y medianos productores agrícolas” (Intelligent Technological Platform of support for small and medium farmers) of Universidad Politécnica Salesiana from Ecuador.
© 2019 IEEE.
- Data Monitoring
- Earthquake early warning
- Internet of Things
- seismic alarm
- Wireless Sensor Network