Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**

Data analysis has become most widespread field of research and it has extended in almost every field of study. Considering the recent trends and developments in the field of communication and information technology, there is a scope of combining the monitoring of substation equipment with big data a...

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Autores principales:	Yu Ruiling, Asif Ikbal Mohammad, Rahman Abdul
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	njls inspection big data substation Science Q Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/5a4019948d114f0185ce0ee196df0a80
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spelling	oai:doaj.org-article:5a4019948d114f0185ce0ee196df0a802021-12-05T14:10:51ZImprovement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**0334-18602191-026X10.1515/jisys-2020-0083https://doaj.org/article/5a4019948d114f0185ce0ee196df0a802021-03-01T00:00:00Zhttps://doi.org/10.1515/jisys-2020-0083https://doaj.org/toc/0334-1860https://doaj.org/toc/2191-026XData analysis has become most widespread field of research and it has extended in almost every field of study. Considering the recent trends and developments in the field of communication and information technology, there is a scope of combining the monitoring of substation equipment with big data analysis technology. That will result in an improved data analysis ability, information sharing and utilization rate of monitoring data. In the proposed work, the authors have introduced the big data analysis and its corresponding application in the monitoring of substations. Basic concepts and the procedures of the typical data analysis for general problems are also discussed. As a main part of the paper, different types of distributed data analysis techniques have been proposed, in which two relational online analysis, namely Hive and Impala and one H Base multidimensional online analysis are important. These data analysis techniques are proposed considering the analysis efficiency, storage performance from the business development requirements point of view of the substation. The result obtained depicts that the proposed model has an advantage in storage overhead and roll-up performance, when compared with the traditional method, although the data loading speed is approximately 1.7–1.9 times of the traditional model. Some experiments are carried out in order to verify the validity of the model.Yu RuilingAsif Ikbal MohammadRahman AbdulDe Gruyterarticlenjlsinspectionbig datasubstationScienceQElectronic computers. Computer scienceQA75.5-76.95ENJournal of Intelligent Systems, Vol 30, Iss 1, Pp 499-510 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	njls inspection big data substation Science Q Electronic computers. Computer science QA75.5-76.95
spellingShingle	njls inspection big data substation Science Q Electronic computers. Computer science QA75.5-76.95 Yu Ruiling Asif Ikbal Mohammad Rahman Abdul Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**
description	Data analysis has become most widespread field of research and it has extended in almost every field of study. Considering the recent trends and developments in the field of communication and information technology, there is a scope of combining the monitoring of substation equipment with big data analysis technology. That will result in an improved data analysis ability, information sharing and utilization rate of monitoring data. In the proposed work, the authors have introduced the big data analysis and its corresponding application in the monitoring of substations. Basic concepts and the procedures of the typical data analysis for general problems are also discussed. As a main part of the paper, different types of distributed data analysis techniques have been proposed, in which two relational online analysis, namely Hive and Impala and one H Base multidimensional online analysis are important. These data analysis techniques are proposed considering the analysis efficiency, storage performance from the business development requirements point of view of the substation. The result obtained depicts that the proposed model has an advantage in storage overhead and roll-up performance, when compared with the traditional method, although the data loading speed is approximately 1.7–1.9 times of the traditional model. Some experiments are carried out in order to verify the validity of the model.
format	article
author	Yu Ruiling Asif Ikbal Mohammad Rahman Abdul
author_facet	Yu Ruiling Asif Ikbal Mohammad Rahman Abdul
author_sort	Yu Ruiling
title	Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**
title_short	Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**
title_full	Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**
title_fullStr	Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**
title_full_unstemmed	Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**
title_sort	improvement of substation monitoring aimed to improve its efficiency with the help of big data analysis**
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/5a4019948d114f0185ce0ee196df0a80
work_keys_str_mv	AT yuruiling improvementofsubstationmonitoringaimedtoimproveitsefficiencywiththehelpofbigdataanalysis AT asifikbalmohammad improvementofsubstationmonitoringaimedtoimproveitsefficiencywiththehelpofbigdataanalysis AT rahmanabdul improvementofsubstationmonitoringaimedtoimproveitsefficiencywiththehelpofbigdataanalysis
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Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis**

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