2017
DOI: 10.5194/gi-6-345-2017
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A low-power data acquisition system for geomagnetic observatories and variometer stations

Abstract: Abstract. A modern geomagnetic observatory must provide data of high stability, continuity, and resolution. The INTER-MAGNET network has therefore specified quantitative criteria to ensure a high quality standard of geomagnetic observatories. Here, we present a new data acquisition system which was designed to meet these criteria, in particular with respect to 1 Hz data. This system is based on a Raspberry Pi embedded PC and runs a C++ data acquisition software. As a result, the data acquisition system is modu… Show more

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Cited by 2 publications
(2 citation statements)
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“…i. the ISCO 3700 manufactured by Teledyne and (ii) the PASS (Huon et al, 2017;M-Tropics, 2017) developed by IRD (Institut de Recherche pour le Développement) for low-cost applications with an adaptable number and volume of sampling bottles. As shown in Fig.…”
Section: Automatic River Water Samplersmentioning
confidence: 99%
“…i. the ISCO 3700 manufactured by Teledyne and (ii) the PASS (Huon et al, 2017;M-Tropics, 2017) developed by IRD (Institut de Recherche pour le Développement) for low-cost applications with an adaptable number and volume of sampling bottles. As shown in Fig.…”
Section: Automatic River Water Samplersmentioning
confidence: 99%
“…The availability of power, continuous data transmission and possible remote configuration remains a challenge in these environments. There have been studies that have developed autonomous monitoring platforms in hostile environments to remain unattended for several months or years (Musko et al, 2009;Bhatti and Ridley, 2014;Clauer et al, 2014;Peters et al, 2014;Morschhauser et al, 2017) but little or no for monitoring of water and solid (both fine and coarse particles) discharges in rivers (Mueller et al, 2013;Navratil et al, 2011;Comiti et al, 2014;Griffiths et al, 2014). This study presents the development of a multi-instrumental platform called RIPLE (River Platform for monitoring Erosion).…”
Section: Introductionmentioning
confidence: 99%