GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS
There is no ground-based magnetic station or observatory that guarantees the quality of information received and transmitted to it. Data gaps, outliers, and anomalies are a common problem affecting virtually any ground-based magnetometer network, creating additional obstacles to efficient processing...
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ftdoajarticles:oai:doaj.org/article:b0e47eb600d24670a2f1198f27682cbd 2023-05-15T17:03:44+02:00 GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS A.V. Vorobev V.A. Pilipenko 2021-06-01T00:00:00Z https://doi.org/10.12737/stp-72202105 https://doaj.org/article/b0e47eb600d24670a2f1198f27682cbd EN eng INFRA-M https://naukaru.ru/en/nauka/article/42429/view https://doaj.org/toc/2500-0535 doi:10.12737/stp-72202105 2500-0535 https://doaj.org/article/b0e47eb600d24670a2f1198f27682cbd Solar-Terrestrial Physics, Vol 7, Iss 2, Pp 48-56 (2021) digital twins time series reconstruction statistical analysis geomagnetic data magnetic stations Astrophysics QB460-466 article 2021 ftdoajarticles https://doi.org/10.12737/stp-72202105 2022-12-31T11:13:17Z There is no ground-based magnetic station or observatory that guarantees the quality of information received and transmitted to it. Data gaps, outliers, and anomalies are a common problem affecting virtually any ground-based magnetometer network, creating additional obstacles to efficient processing and analysis of experimental data. It is possible to monitor the reliability and improve the quality of the hardware and soft- ware modules included in magnetic stations by develop- ing their virtual models or so-called digital twins. In this paper, using a network of high-latitude IMAGE magnetometers as an example, we consider one of the possible approaches to creating such models. It has been substantiated that the use of digital twins of magnetic stations can minimize a number of problems and limitations associated with the presence of emissions and missing values in time series of geomagnetic data, and also provides the possibility of retrospective forecasting of geomagnetic field parameters with a mean square error (MSE) in the auroral zone up to 11.5 nT. Integration of digital twins into the processes of collecting and registering geomagnetic data makes the automatic identification and replacement of missing and abnormal values possible, thus increasing, due to the redundancy effect, the fault tolerance of the magnetic station as a data source object. By the example of the digital twin of the station “Kilpisjärvi” (Finland), it is shown that the proposed approach implements recovery of 99.55 % of annual information, while 86.73 % with M not exceeding 12 nT. Article in Journal/Newspaper Kilpisjärvi Directory of Open Access Journals: DOAJ Articles Kilpisjärvi ENVELOPE(20.767,20.767,69.034,69.034) Solar-Terrestrial Physics 7 2 48 56 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
digital twins time series reconstruction statistical analysis geomagnetic data magnetic stations Astrophysics QB460-466 |
spellingShingle |
digital twins time series reconstruction statistical analysis geomagnetic data magnetic stations Astrophysics QB460-466 A.V. Vorobev V.A. Pilipenko GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS |
topic_facet |
digital twins time series reconstruction statistical analysis geomagnetic data magnetic stations Astrophysics QB460-466 |
description |
There is no ground-based magnetic station or observatory that guarantees the quality of information received and transmitted to it. Data gaps, outliers, and anomalies are a common problem affecting virtually any ground-based magnetometer network, creating additional obstacles to efficient processing and analysis of experimental data. It is possible to monitor the reliability and improve the quality of the hardware and soft- ware modules included in magnetic stations by develop- ing their virtual models or so-called digital twins. In this paper, using a network of high-latitude IMAGE magnetometers as an example, we consider one of the possible approaches to creating such models. It has been substantiated that the use of digital twins of magnetic stations can minimize a number of problems and limitations associated with the presence of emissions and missing values in time series of geomagnetic data, and also provides the possibility of retrospective forecasting of geomagnetic field parameters with a mean square error (MSE) in the auroral zone up to 11.5 nT. Integration of digital twins into the processes of collecting and registering geomagnetic data makes the automatic identification and replacement of missing and abnormal values possible, thus increasing, due to the redundancy effect, the fault tolerance of the magnetic station as a data source object. By the example of the digital twin of the station “Kilpisjärvi” (Finland), it is shown that the proposed approach implements recovery of 99.55 % of annual information, while 86.73 % with M not exceeding 12 nT. |
format |
Article in Journal/Newspaper |
author |
A.V. Vorobev V.A. Pilipenko |
author_facet |
A.V. Vorobev V.A. Pilipenko |
author_sort |
A.V. Vorobev |
title |
GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS |
title_short |
GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS |
title_full |
GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS |
title_fullStr |
GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS |
title_full_unstemmed |
GEOMAGNETIC DATA RECOVERY APPROACH BASED ON THE CONCEPT OF DIGITAL TWINS |
title_sort |
geomagnetic data recovery approach based on the concept of digital twins |
publisher |
INFRA-M |
publishDate |
2021 |
url |
https://doi.org/10.12737/stp-72202105 https://doaj.org/article/b0e47eb600d24670a2f1198f27682cbd |
long_lat |
ENVELOPE(20.767,20.767,69.034,69.034) |
geographic |
Kilpisjärvi |
geographic_facet |
Kilpisjärvi |
genre |
Kilpisjärvi |
genre_facet |
Kilpisjärvi |
op_source |
Solar-Terrestrial Physics, Vol 7, Iss 2, Pp 48-56 (2021) |
op_relation |
https://naukaru.ru/en/nauka/article/42429/view https://doaj.org/toc/2500-0535 doi:10.12737/stp-72202105 2500-0535 https://doaj.org/article/b0e47eb600d24670a2f1198f27682cbd |
op_doi |
https://doi.org/10.12737/stp-72202105 |
container_title |
Solar-Terrestrial Physics |
container_volume |
7 |
container_issue |
2 |
container_start_page |
48 |
op_container_end_page |
56 |
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1766057653645082624 |