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| Titel |
Embedded multiparametric system for volcano monitoring |
| VerfasserIn |
David Moure, Pedro A. Torres, Stavros Meletlidis, Carmen López, María José Blanco |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250098718
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| Publikation (Nr.) |
 EGU/EGU2014-14421.pdf |
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| Zusammenfassung |
| A low cost and low power consumption multiparametric system designed for volcano
monitoring is presented. Once tested with various sensors, at present it is installed in
two locations in Tenerife, Canary Islands, acquiring and transmitting data in real
time.
The system is based on a commercial board (Raspberry Pi®, RPi®) that uses an
embedded ARMTM processor with a Debian (Wheezy-Raspbian) Linux Operating System.
This configuration permits different standard communication systems between
devices as USB and ETHERNET, and also communication with integrated circuits is
possible. The whole system includes this platform and self-developed hardware and
software.
Analog signals are acquired at an expansion board with an ADC converter with three 16
bits channels. This board, which is powered directly from the RPi®, provides timing to the
sampling data using a Real Time Clock (RTC). Two serial protocols (I2C and SPI) are
responsible for communications.
Due to the influence of atmospheric phenomena on the volcano monitoring data, the
system is complemented by a self-developed meteorological station based on ArduinoCC and
low cost commercial sensors (atmospheric pressure, humidity and rainfall). It is powered with
the RPi® and it uses a serial protocol for communications.
Self-developed software run under Linux OS and handles configuration, signal
acquisition, data storage (USB storage or SD card) and data transmission (FTP, web server).
Remote configuration, data plotting and downloading is available through a web interface
tool.
Nowadays, the system is used for gravimetric and oceanic tides data acquisition in
Tenerife and soon it will be applied for clinometric data. |
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