The Internet of Geophysical Things: Raspberry Pi Enhanced REF TEK (RaPiER) System Integration and Evaluation

被引:4
|
作者
Sepulveda, Frank [1 ]
Pulliam, Jay [1 ]
机构
[1] Baylor Univ, Dept Geol, One Bear Pl 97354, Waco, TX 76798 USA
关键词
28;
D O I
10.1785/0220150234
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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 ((E) 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.
引用
收藏
页码:345 / 357
页数:13
相关论文
共 50 条
  • [41] ZigBee Radio Frequency (RF) Performance on Raspberry Pi 3 for Internet of Things (IoT) based Blood Pressure Sensors Monitoring
    Adi, Puput Dani Prasetyo
    Kitagawa, Akio
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (05) : 18 - 27
  • [42] ZigBee Radio Frequency (RF) performance on Raspberry Pi 3 for Internet of Things (IoT) based blood pressure sensors monitoring
    Adi P.D.P.
    Kitagawa A.
    International Journal of Advanced Computer Science and Applications, 2019, 10 (05): : 18 - 27
  • [43] Internet of Things Supported Airport Boarding System and Evaluation with Fuzzy
    Memika, Tolga
    Polat, Tulay Korkusuz
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 35 (03): : 2687 - 2702
  • [44] Performance Evaluation of a Dual Coverage System for Internet of Things Environments
    Said, Omar
    Tolba, Amr
    MOBILE INFORMATION SYSTEMS, 2016, 2016
  • [45] Application of Internet of Things Technology in Student Management Evaluation System
    Zhu, Jiaming
    Li, Zhi
    Fu, Jing
    He, Fangcheng
    Mou, Xiaoling
    Wu, Pengjv
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [46] Smart Agricultural Enterprise System Based on Integration of Internet of Things and Agent Technology
    Kitouni, Ilham
    Benmerzoug, Djamel
    Lezzar, Fouzi
    JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2018, 30 (04) : 64 - 82
  • [47] Water and Fertilizer Integration Intelligent Control System of Tomato Based on Internet of Things
    Liyang
    Liu, Pingzeng
    Li, Bangguo
    CLOUD COMPUTING AND SECURITY, PT VI, 2018, 11068 : 209 - 220
  • [48] Smart Trash Can Robot System with Integration of Internet of Things and Mobile Applications
    Chang, Bao Rong
    Tsai, Hsiu-Fen
    Lyu, Jyong-Lin
    Yin, Tang-Kai
    SENSORS AND MATERIALS, 2019, 31 (11) : 3495 - 3516
  • [49] Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology
    Al-Sakran, Hasan Omar
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2015, 6 (02) : 37 - 43
  • [50] Enhanced 3GPP system for Machine Type Communications and Internet of Things
    Kunz, Andreas
    Prasad, Athul
    Samdanis, Konstantinos
    Husain, Syed
    Song, JaeSeung
    2015 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING (CSCN), 2015, : 48 - 53