Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment

The continuous growth of geophysical observations requires adequate methods for their processing and analysis. This becomes one of the most important and widely discussed issues in the data science community. The system analysis methods and data mining techniques are able to sustain the solution of...

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Main Authors: Alexei Gvishiani, Anatoly Soloviev, Roman Krasnoperov, Renata Lukianova
Format: Article
Language:English
Published: Ubiquity Press 2016-12-01
Series:Data Science Journal
Subjects:
Online Access:http://datascience.codata.org/articles/640
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spelling doaj-6570c8c3f3d941e2859db5749474e9972020-11-24T22:49:49ZengUbiquity PressData Science Journal1683-14702016-12-011510.5334/dsj-2016-018603Automated Hardware and Software System for Monitoring the Earth’s Magnetic EnvironmentAlexei Gvishiani0Anatoly Soloviev1Roman Krasnoperov2Renata Lukianova3Geophysical Center of the Russian Academy of SciencesGeophysical Center of the Russian Academy of SciencesGeophysical Center of the Russian Academy of SciencesGeophysical Center Of the Russian Academy Of SciencesThe continuous growth of geophysical observations requires adequate methods for their processing and analysis. This becomes one of the most important and widely discussed issues in the data science community. The system analysis methods and data mining techniques are able to sustain the solution of this problem. This paper presents an innovative holistic hardware/software system (HSS) developed for efficient management and intellectual analysis of geomagnetic data, registered by Russian geomagnetic observatories and international satellites. Geomagnetic observatories that comprise the International Real-time Magnetic Observatory Network (INTERMAGNET) produce preliminary (raw) and definitive (corrected) geomagnetic data of the highest quality. The designed system automates and accelerates routine production of definitive data from the preliminary magnetograms, obtained by Russian observatories, due to implemented algorithms that involve artificial intelligence elements. The HSS is the first system that provides sophisticated automatic detection and multi-criteria classification of extreme geomagnetic conditions, which may be hazardous for technological infrastructure and economic activity in Russia. It enables the online access to digital geomagnetic data, its processing results and modelling calculations along with their visualization on conventional and spherical screens. The concept of the presented system agrees with the accepted ‘four Vs’ paradigm of Big Data. The HSS can increase significantly the ‘velocity’ and ‘veracity’ features of the INTERMAGNET system. It also provides fusion of large sets of ground-based and satellite geomagnetic data, thus facilitating the ‘volume’ and ‘variety’ of handled data.http://datascience.codata.org/articles/640Earth’s magnetic fieldabsolute magnetic observationsgeomagnetic activitymonitoring systemdata miningsystem analysisbig data
collection DOAJ
language English
format Article
sources DOAJ
author Alexei Gvishiani
Anatoly Soloviev
Roman Krasnoperov
Renata Lukianova
spellingShingle Alexei Gvishiani
Anatoly Soloviev
Roman Krasnoperov
Renata Lukianova
Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment
Data Science Journal
Earth’s magnetic field
absolute magnetic observations
geomagnetic activity
monitoring system
data mining
system analysis
big data
author_facet Alexei Gvishiani
Anatoly Soloviev
Roman Krasnoperov
Renata Lukianova
author_sort Alexei Gvishiani
title Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment
title_short Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment
title_full Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment
title_fullStr Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment
title_full_unstemmed Automated Hardware and Software System for Monitoring the Earth’s Magnetic Environment
title_sort automated hardware and software system for monitoring the earth’s magnetic environment
publisher Ubiquity Press
series Data Science Journal
issn 1683-1470
publishDate 2016-12-01
description The continuous growth of geophysical observations requires adequate methods for their processing and analysis. This becomes one of the most important and widely discussed issues in the data science community. The system analysis methods and data mining techniques are able to sustain the solution of this problem. This paper presents an innovative holistic hardware/software system (HSS) developed for efficient management and intellectual analysis of geomagnetic data, registered by Russian geomagnetic observatories and international satellites. Geomagnetic observatories that comprise the International Real-time Magnetic Observatory Network (INTERMAGNET) produce preliminary (raw) and definitive (corrected) geomagnetic data of the highest quality. The designed system automates and accelerates routine production of definitive data from the preliminary magnetograms, obtained by Russian observatories, due to implemented algorithms that involve artificial intelligence elements. The HSS is the first system that provides sophisticated automatic detection and multi-criteria classification of extreme geomagnetic conditions, which may be hazardous for technological infrastructure and economic activity in Russia. It enables the online access to digital geomagnetic data, its processing results and modelling calculations along with their visualization on conventional and spherical screens. The concept of the presented system agrees with the accepted ‘four Vs’ paradigm of Big Data. The HSS can increase significantly the ‘velocity’ and ‘veracity’ features of the INTERMAGNET system. It also provides fusion of large sets of ground-based and satellite geomagnetic data, thus facilitating the ‘volume’ and ‘variety’ of handled data.
topic Earth’s magnetic field
absolute magnetic observations
geomagnetic activity
monitoring system
data mining
system analysis
big data
url http://datascience.codata.org/articles/640
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