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Development and Testing of a 5G Multichannel Intelligent Seismograph Based on Raspberry Pi

文献类型：期刊论文

作者Idehen, Igbinigie Philip1,2,3; You, Qingyu1; Xu, Xiqiang1; Li, Shaoqing1; Zhang, Yan1; Hu, Yaoxing1; Wang, Yuan1
刊名SENSORS
出版日期2022-06-01
卷号22期号:11页码:14
关键词Raspberry Pi multichannel seismograph ambient noise tomography IoT real-time data transfer 5G module machine learning
DOI10.3390/s22114193
英文摘要A seismograph was designed based on Raspberry Pi. Although comprising 8 channels, the seismograph can be expanded to 16, 24, or 32 channels by using a USB interfacing with a microcontroller. In addition, by clustering more than one Raspberry Pi, the number of possible channels can be extended beyond 32. In this study, we also explored the computational intelligence of Raspberry Pi for running real-time systems and multithreaded algorithms to process raw seismic data. Also integrated into the seismograph is a Huawei MH5000-31 5G module, which provided high-speed internet real-time operations. Other hardware peripherals included a 24 bit ADS1251 analog-to-digital converter (ADC) and a STM32F407 microcontroller. Real-time data were acquired in the field for ambient noise tomography. An analysis tool called spatial autocorrelation (SPAC) was used to analyze the data, followed by inversion, which revealed the subsurface velocity of the site location. The proposed seismograph is prospective for small, medium, or commercial data acquisition. In accordance with the processing power and stability of Raspberry Pi, which were confirmed in this study, the proposed seismograph is also recommended as a template for developing high-performance computing applications, such as artificial intelligence (AI) in seismology and other related disciplines.
WOS关键词TOMOGRAPHY
资助项目Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences[COMS2019Q10] ; National Natural Science Foundation of China[92058213] ; National Natural Science Foundation of China[42176084]
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
出版者MDPI
WOS记录号WOS:000808950600001
资助机构Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; Key Deployment Project of Center for Ocean MegaScience of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/106086]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Idehen, Igbinigie Philip
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
2.Obafemi Awolowo Univ, Dept Geol, PMB 13, Ife 220282, Nigeria
3.Anchor Univ, Dept Phys & Phys Elect, Ayobo P M B 00001, Lagos 100278, Nigeria
推荐引用方式
GB/T 7714		 Idehen, Igbinigie Philip,You, Qingyu,Xu, Xiqiang,et al. Development and Testing of a 5G Multichannel Intelligent Seismograph Based on Raspberry Pi[J]. SENSORS,2022,22(11):14.
APA Idehen, Igbinigie Philip.,You, Qingyu.,Xu, Xiqiang.,Li, Shaoqing.,Zhang, Yan.,...&Wang, Yuan.(2022).Development and Testing of a 5G Multichannel Intelligent Seismograph Based on Raspberry Pi.SENSORS,22(11),14.
MLA Idehen, Igbinigie Philip,et al."Development and Testing of a 5G Multichannel Intelligent Seismograph Based on Raspberry Pi".SENSORS 22.11(2022):14.

入库方式： OAI收割

来源：地质与地球物理研究所

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