Reducing Costs of Preventive Lightning Systems by Locational Optimization

Detalhes bibliográficos
Autor(a) principal: Libório,Matheus
Data de Publicação: 2020
Outros Autores: Maia,Willian, Carlos,Martins, Petr,Ekel, Sandro,Laudares, Bernardes,Patrícia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672020000200149
Resumo: ABSTRACT The installation of lightning detection sensor systems involves a large volume of resources. However, the absence of these systems can lead to irreparable damage, such as the death of a person. How to reduce the costs of implementing these systems to protect workers and citizens or even public and private equipment? Usually, this problem is not solved on a formal level, but based on the intuition of the involved specialists, without applying optimization techniques. Taking this into account, this research explores the theoretical structure of locational optimization methods to propose a simplified heuristic method that does not require any programming skills for its application. Specifically, its use directly resulted in the cost reduction of preventive lightning systems in an area containing 41 mines. All mines must be covered by the sensor system which has a coverage radius of 10 km. The experimental results demonstrate that the application of this method generates more effective results than those obtained using known methods of locational optimization. The method proposed in this research contributes directly to reduce costs of preventive lightning systems and indirectly to protect workers in mining areas as well as to protect populations in urban areas where the frequency and incidence of lightning is especially high.
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spelling Reducing Costs of Preventive Lightning Systems by Locational Optimizationlightning dischargelocational problemspreventive lightning detection systemsspatial optimization.ABSTRACT The installation of lightning detection sensor systems involves a large volume of resources. However, the absence of these systems can lead to irreparable damage, such as the death of a person. How to reduce the costs of implementing these systems to protect workers and citizens or even public and private equipment? Usually, this problem is not solved on a formal level, but based on the intuition of the involved specialists, without applying optimization techniques. Taking this into account, this research explores the theoretical structure of locational optimization methods to propose a simplified heuristic method that does not require any programming skills for its application. Specifically, its use directly resulted in the cost reduction of preventive lightning systems in an area containing 41 mines. All mines must be covered by the sensor system which has a coverage radius of 10 km. The experimental results demonstrate that the application of this method generates more effective results than those obtained using known methods of locational optimization. The method proposed in this research contributes directly to reduce costs of preventive lightning systems and indirectly to protect workers in mining areas as well as to protect populations in urban areas where the frequency and incidence of lightning is especially high.Universidade do Porto - Faculdade de Letras2020-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672020000200149GOT, Revista de Geografia e Ordenamento do Território n.20 2020reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672020000200149Libório,Matheus,Maia,Willian,Carlos,Martins,Petr,Ekel,Sandro,Laudares,Bernardes,Patríciainfo:eu-repo/semantics/openAccess2024-02-06T17:26:11Zoai:scielo:S2182-12672020000200149Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:31:23.170014Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Reducing Costs of Preventive Lightning Systems by Locational Optimization
title Reducing Costs of Preventive Lightning Systems by Locational Optimization
spellingShingle Reducing Costs of Preventive Lightning Systems by Locational Optimization
Libório,Matheus,
lightning discharge
locational problems
preventive lightning detection systems
spatial optimization.
title_short Reducing Costs of Preventive Lightning Systems by Locational Optimization
title_full Reducing Costs of Preventive Lightning Systems by Locational Optimization
title_fullStr Reducing Costs of Preventive Lightning Systems by Locational Optimization
title_full_unstemmed Reducing Costs of Preventive Lightning Systems by Locational Optimization
title_sort Reducing Costs of Preventive Lightning Systems by Locational Optimization
author Libório,Matheus,
author_facet Libório,Matheus,
Maia,Willian,
Carlos,Martins,
Petr,Ekel,
Sandro,Laudares,
Bernardes,Patrícia
author_role author
author2 Maia,Willian,
Carlos,Martins,
Petr,Ekel,
Sandro,Laudares,
Bernardes,Patrícia
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Libório,Matheus,
Maia,Willian,
Carlos,Martins,
Petr,Ekel,
Sandro,Laudares,
Bernardes,Patrícia
dc.subject.por.fl_str_mv lightning discharge
locational problems
preventive lightning detection systems
spatial optimization.
topic lightning discharge
locational problems
preventive lightning detection systems
spatial optimization.
description ABSTRACT The installation of lightning detection sensor systems involves a large volume of resources. However, the absence of these systems can lead to irreparable damage, such as the death of a person. How to reduce the costs of implementing these systems to protect workers and citizens or even public and private equipment? Usually, this problem is not solved on a formal level, but based on the intuition of the involved specialists, without applying optimization techniques. Taking this into account, this research explores the theoretical structure of locational optimization methods to propose a simplified heuristic method that does not require any programming skills for its application. Specifically, its use directly resulted in the cost reduction of preventive lightning systems in an area containing 41 mines. All mines must be covered by the sensor system which has a coverage radius of 10 km. The experimental results demonstrate that the application of this method generates more effective results than those obtained using known methods of locational optimization. The method proposed in this research contributes directly to reduce costs of preventive lightning systems and indirectly to protect workers in mining areas as well as to protect populations in urban areas where the frequency and incidence of lightning is especially high.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-01
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dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672020000200149
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-12672020000200149
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dc.publisher.none.fl_str_mv Universidade do Porto - Faculdade de Letras
publisher.none.fl_str_mv Universidade do Porto - Faculdade de Letras
dc.source.none.fl_str_mv GOT, Revista de Geografia e Ordenamento do Território n.20 2020
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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