Low-Cost Sensors Technologies for Monitoring Sustainability and Safety Issues in Mining Activities: Advances, Gaps, and Future Directions in the Digitalization for Smart Mining

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datacite.alternateIdentifier.citationSENSORS,Vol.23,2023
datacite.alternateIdentifier.doi10.3390/s23156846
datacite.creatorCacciuttolo, Carlos
datacite.creatorGuzman, Valentina
datacite.creatorCatrinir, Patricio
datacite.creatorAtencio, Edison
datacite.creatorKomarizadehasl, Seyedmilad
datacite.creatorLozano-Galant, Jose Antonio
datacite.date2023
datacite.subject.englishlow-cost sensors
datacite.subject.englishmonitoring
datacite.subject.englishsafety
datacite.subject.englishsustainability
datacite.subject.englishmining
datacite.subject.englishRaspberry Pi
datacite.subject.englishArduino
datacite.subject.englishInternet of Things
datacite.subject.englishdigital mine
datacite.subject.englishIndustry 4
datacite.subject.english0
datacite.titleLow-Cost Sensors Technologies for Monitoring Sustainability and Safety Issues in Mining Activities: Advances, Gaps, and Future Directions in the Digitalization for Smart Mining
dc.date.accessioned2024-05-27T18:26:06Z
dc.date.available2024-05-27T18:26:06Z
dc.description.abstractNowadays, monitoring aspects related to sustainability and safety in mining activities worldwide are a priority, to mitigate socio-environmental impacts, promote efficient use of water, reduce carbon footprint, use renewable energies, reduce mine waste, and minimize the risks of accidents and fatalities. In this context, the implementation of sensor technologies is an attractive alternative for the mining industry in the current digitalization context. To have a digital mine, sensors are essential and form the basis of Industry 4.0, and to allow a more accelerated, reliable, and massive digital transformation, low-cost sensor technology solutions may help to achieve these goals. This article focuses on studying the state of the art of implementing low-cost sensor technologies to monitor sustainability and safety aspects in mining activities, through the review of scientific literature. The methodology applied in this article was carried out by means of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and generating science mapping. For this, a methodological procedure of three steps was implemented: (i) Bibliometric analysis as a quantitative method, (ii) Systematic review of literature as a qualitative method, and (iii) Mixed review as a method to integrate the findings found in (i) and (ii). Finally, according to the results obtained, the main advances, gaps, and future directions in the implementation of low-cost sensor technologies for use in smart mining are exposed. Digital transformation aspects for data measurement with low-cost sensors by real-time monitoring, use of wireless network systems, artificial intelligence, machine learning, digital twins, and the Internet of Things, among other technologies of the Industry 4.0 era are discussed.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5667
dc.language.isoen
dc.publisherMDPI
dc.sourceSENSORS
oaire.resourceTypeReview
uct.indizacionSCI
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