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

被引:25
作者
Cacciuttolo, Carlos [1 ,2 ]
Guzman, Valentina [1 ]
Catrinir, Patricio [1 ]
Atencio, Edison [2 ,3 ]
Komarizadehasl, Seyedmilad [4 ]
Lozano-Galant, Jose Antonio [2 ]
机构
[1] Catholic Univ Temuco, Civil Works & Geol Dept, Temuco 4780000, Chile
[2] Univ Castilla La Mancha, Dept Civil Engn, Av Camilo Jose Cela s-n, Ciudad Real 13071, Spain
[3] Pontificia Univ Catolica Valparaiso, Sch Civil Engn, Av Brasil 2147, Valparaiso 2340000, Chile
[4] Univ Politecn Cataluna, Dept Civil & Environm Engn, BarcelonaTech, C Jordi Girona 1-3, Barcelona 08034, Spain
关键词
low-cost sensors; monitoring; safety; sustainability; mining; Raspberry Pi; Arduino; Internet of Things; digital mine; Industry; 4; 0; AIR-QUALITY; SYSTEM; INDUSTRY; TIME; COAL;
D O I
10.3390/s23156846
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Nowadays, 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.
引用
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页数:35
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