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The Internet of Geophysical Things; Raspberry Pi enhanced REF TEK (RaPiER) system integration and evaluation

Frank Sepulveda and Jay Pulliam
The Internet of Geophysical Things; Raspberry Pi enhanced REF TEK (RaPiER) system integration and evaluation
Seismological Research Letters (April 2016) 87 (2A): 345-357


The proliferation of commercial Internet of Things (IoT) devices is raising consumers' awareness of the benefits of enhancing everyday objects with the ability to communicate, sense, and process information. Commercial-off-the-shelf (COTS) versions of the embedded technologies responsible for the rise of the IoT are easy-to-use, inexpensive, and relatively powerful. IoT Makers, technological do-it-yourself enthusiasts, utilize these technologies and the IoT ecosystem to create IoT devices that range from casual hobbyist to entrepreneurial in nature. In an effort to develop a "no-engineer-needed" Internet of Geophysical Things (IoGT) device, we integrated a COTS embedded computer with a geoscience-related COTS data acquisition system (DAS). Using skills common to geoscientists, we integrated the Raspberry Pi System-On-Chip with the REF TEK (a Trimble brand) 130-01 DAS. This Raspberry Pi enhanced REF TEK (RaPiER) provides IoGT Makers a platform for the development of geoscientific sensor node or network enhancements. IoGT Makers can use the RaPiER to tinker with IoT capabilities while simultaneously acquiring research-quality data. Geoscientific (i.e., seismic) application areas that may benefit from RaPiER, particularly RaPiER nodal processing, include earthquake and engineering seismology. In this article, we discuss the emerging technologies that allow IoGT Makers to build their own IoGT device. We review our selection of the Raspberry Pi and REF TEK 130-01 for IoGT device integration. We provide a RaPiER system integration guide and REF TEK interface software compiled for the Raspberry Pi ( available in the electronic supplement to this article). We present methods to expand RaPiER capabilities using the Raspberry Pi's ecosystem. Last, we discuss our evaluation of RaPiER's performance and its suitability for realistic field deployments.

ISSN: 0895-0695
EISSN: 1938-2057
Serial Title: Seismological Research Letters
Serial Volume: 87
Serial Issue: 2A
Title: The Internet of Geophysical Things; Raspberry Pi enhanced REF TEK (RaPiER) system integration and evaluation
Affiliation: Baylor University, Department of Geology, Waco, TX, United States
Pages: 345-357
Published: 201604
Text Language: English
Publisher: Seismological Society of America, El Cerrito, CA, United States
References: 32
Accession Number: 2016-025773
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 3 tables
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201613
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