Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object
Underground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object. For this reason, this study focuses on the analysi...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/400952 |
| Acceso en línea: | https://hdl.handle.net/2117/400952 https://dx.doi.org/10.1016/j.heliyon.2024.e24716 |
| Access Level: | acceso abierto |
| Palabra clave: | Mine accidents Data-mining Mine drift Type of accident (TA) Underground mining Weka Mines -- Accidents Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial |
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Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving objectSanmiquel Pera, Lluís|||0000-0001-5612-4713Rossell Garriga, Josep Maria|||0000-0002-5631-5357Bascompta Massanes, Marc|||0000-0003-1519-6133Vintró Sánchez, Carla|||0000-0003-4189-1500Yousefian, Mohammad|||0000-0002-5164-459XMine accidentsData-miningMine driftType of accident (TA)Underground miningWekaMines -- AccidentsÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de minesÀrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrialUnderground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object. For this reason, this study focuses on the analysis of this type of accident, divided into 3 subgroups to better understand the behavioural patterns. Data mining techniques were applied using the Apriori algorithm to extract as much information as possible about the genesis of these accidents. Similarly, each subset of accidents was processed in two different ways to improve the data analysis, depending on the causal variables used in each case, so that a study of six different scenarios was carried out. The five best association rules or behaviour patterns for each of the six scenarios are shown as a function of their frequency for each rule with 1–4 causal variables.Peer ReviewedObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement EconòmicObjectius de Desenvolupament Sostenible::8 - Treball Decent i Creixement Econòmic::8.8 - Protegir els drets laborals i promoure un entorn de treball segur i protegit per a totes les persones treballadores, incloses les migrants, en particular les dones migrants i les persones amb ocupacions precàriesElsevier Ltd20242024-01-3020242024-02-05journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/400952https://dx.doi.org/10.1016/j.heliyon.2024.e24716reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4009522026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| title |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| spellingShingle |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object Sanmiquel Pera, Lluís|||0000-0001-5612-4713 Mine accidents Data-mining Mine drift Type of accident (TA) Underground mining Weka Mines -- Accidents Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial |
| title_short |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| title_full |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| title_fullStr |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| title_full_unstemmed |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| title_sort |
Data mining of accidents in Spanish underground mines in the period 2003-2021 caused by a collision with a moving object |
| dc.creator.none.fl_str_mv |
Sanmiquel Pera, Lluís|||0000-0001-5612-4713 Rossell Garriga, Josep Maria|||0000-0002-5631-5357 Bascompta Massanes, Marc|||0000-0003-1519-6133 Vintró Sánchez, Carla|||0000-0003-4189-1500 Yousefian, Mohammad|||0000-0002-5164-459X |
| author |
Sanmiquel Pera, Lluís|||0000-0001-5612-4713 |
| author_facet |
Sanmiquel Pera, Lluís|||0000-0001-5612-4713 Rossell Garriga, Josep Maria|||0000-0002-5631-5357 Bascompta Massanes, Marc|||0000-0003-1519-6133 Vintró Sánchez, Carla|||0000-0003-4189-1500 Yousefian, Mohammad|||0000-0002-5164-459X |
| author_role |
author |
| author2 |
Rossell Garriga, Josep Maria|||0000-0002-5631-5357 Bascompta Massanes, Marc|||0000-0003-1519-6133 Vintró Sánchez, Carla|||0000-0003-4189-1500 Yousefian, Mohammad|||0000-0002-5164-459X |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Mine accidents Data-mining Mine drift Type of accident (TA) Underground mining Weka Mines -- Accidents Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial |
| topic |
Mine accidents Data-mining Mine drift Type of accident (TA) Underground mining Weka Mines -- Accidents Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria de mines::Explotació de mines Àrees temàtiques de la UPC::Economia i organització d'empreses::Seguretat industrial |
| description |
Underground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object. For this reason, this study focuses on the analysis of this type of accident, divided into 3 subgroups to better understand the behavioural patterns. Data mining techniques were applied using the Apriori algorithm to extract as much information as possible about the genesis of these accidents. Similarly, each subset of accidents was processed in two different ways to improve the data analysis, depending on the causal variables used in each case, so that a study of six different scenarios was carried out. The five best association rules or behaviour patterns for each of the six scenarios are shown as a function of their frequency for each rule with 1–4 causal variables. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-01-30 2024 2024-02-05 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/400952 https://dx.doi.org/10.1016/j.heliyon.2024.e24716 |
| url |
https://hdl.handle.net/2117/400952 https://dx.doi.org/10.1016/j.heliyon.2024.e24716 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier Ltd |
| publisher.none.fl_str_mv |
Elsevier Ltd |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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15,300724 |