Cacciuttolo Carlos, Guzmán Valentina, Catriñir Patricio, Atencio Edison, Komarizadehasl Seyedmilad, Lozano-Galant Jose Antonio
Civil Works and Geology Department, Catholic University of Temuco, Temuco 4780000, Chile.
Department of Civil Engineering, Universidad de Castilla-La Mancha, Av. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.
Sensors (Basel). 2023 Aug 1;23(15):6846. doi: 10.3390/s23156846.
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.
如今,监测全球采矿活动中与可持续性和安全性相关的方面是当务之急,以减轻社会环境影响、促进水资源的高效利用、减少碳足迹、使用可再生能源、减少矿山废弃物,并将事故和死亡风险降至最低。在这种背景下,在当前数字化背景下,传感器技术的应用对采矿业来说是一个有吸引力的选择。要实现数字化矿山,传感器至关重要,是工业4.0的基础,为了实现更快速、可靠且大规模的数字化转型,低成本传感器技术解决方案可能有助于实现这些目标。本文通过对科学文献的综述,着重研究在采矿活动中应用低成本传感器技术监测可持续性和安全方面的现状。本文采用的方法是按照系统评价和荟萃分析的首选报告项目(PRISMA)指南并生成科学图谱来进行的。为此,实施了一个包含三个步骤的方法流程:(i)作为定量方法的文献计量分析,(ii)作为定性方法的文献系统综述,以及(iii)作为整合(i)和(ii)中所发现结果的方法的混合综述。最后,根据所得结果,揭示了在智能采矿中应用低成本传感器技术的主要进展、差距和未来方向。讨论了工业4.0时代的其他技术,如通过实时监测使用低成本传感器进行数据测量的数字化转型方面、无线网络系统的使用、人工智能、机器学习、数字孪生和物联网等。