Orderliness in Mining 4.0

Zhironkin, Sergey; Gasanov, M. A.; Suslova, Yulia

doi:10.3390/en15218153

Cited by 11 publications

(10 citation statements)

References 28 publications

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“…An important role in this is given to surface mining, wherein its volume has increased by 30% in the world over the past three decades [23]. This is quite consistent with the transitional stage for the mining industry as a whole from Mining 3.0 to 4.0 (Table 1 [24]). Despite almost two hundred years of geotechnology evolution from Mining 1.0 to 4.0, surface mining has only been developing in its modern form since the beginning of the 20th century (starting from Industry 2.0 and Mining 2.0).…”

Section: Introduction 1the Role Of Surface Mining Digitalization In E...supporting

confidence: 64%

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Development of Surface Mining 4.0 in Terms of Technological Shock in Energy Transition: A Review

Zhironkin

Taran

2023

Energies

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The expansion of end-to-end Industry 4.0 technologies in various industries has caused a technological shock in the mineral resource sector, wherein itsdigital maturity is lower than in the manufacturing sector. As a result of the shock, the productivity and profitability of raw materials extraction has begun to lag behind the industries of its deep processing, which, in the conditions of volatile raw materials markets, can provoke sectoral crises. The diffusion of Industry 4.0 technologies in the mining sector (Mining 4.0) can prevent a technological shock if they are implemented in all segments, including quarrying (Surface Mining 4.0). The Surface Mining 4.0 technological platform would connect the advanced achievements of the Fourth Industrial Revolution (end-to-end digital artificial intelligence technologies, cyber-physical systems and unmanned production with traditional geotechnology) without canceling them, but instead bringing them to a new level of productivity, resource consumption, and environmental friendliness. In the future, the development of Surface Mining 4.0 will provide a response to the technological shock associated with the acceleration of the digital modernization of the mining sector and the increase in labor productivity, which are reducing the operating costs of raw materials extraction. In this regard, the given review is an attempt to analyze the surface mining digital transformation over the course of the diffusion of Industry 4.0 technologies covered in scientific publications. The authors tried to show the core and frontiers of Surface Mining 4.0 development to determine the production, economic, and social effect of replacing humans with digital and cyber-physical systems in the processes of mineral extraction. Particular attention was paid to the review of research on the role of Surface Mining 4.0 in achieving sustainable development goals.

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Section: Introduction 1the Role Of Surface Mining Digitalization In E...supporting

confidence: 64%

“…Relationship between the stages of industrial development, geotechnology, and the evolution of Mining 4.0[24].…”

mentioning

confidence: 99%

Development of Surface Mining 4.0 in Terms of Technological Shock in Energy Transition: A Review

Zhironkin

Taran

2023

Energies

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“…Thus, mining monitoring systems that implement these technologies are transforming the productive activity of the real world into a virtual world that is also known as the metaverse, where the collection of large-volume data in real time and their processing permits better holistic and prospective decision-making [38][39][40][41]. These technological improvements are driving changes in how mine tailings governance occurs; for example, sensors are gradually changing from mostly analog to mostly digital [13].…”

Section: Smart Sensors For Structural Health and Safety Management Mo...mentioning

confidence: 99%

“…The conception of a smart mining business model that manages the safety of mine tailings must revolve around the integration of its entire value chain and implies migration to a production model associated with Industry 4.0, in which technologies and tools such as the IoT, advanced data analytics such as big data, DT approaches, CC, robotics, ML, and the use of AI are essential to achieving better products and more efficient processes in addition to generating new business opportunities [40,115,123]. Considering the digitalization of information, data visualization is expected to occur in dashboards through applications for mobile phones, tablets, computers, and laptops that deliver documents, photos, and text information in different formats and languages.…”

Section: Future Trendsmentioning

confidence: 99%

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

Cacciuttolo,

Guzmán,

Catriñir

et al. 2024

Minerals

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The recent tailings storage facility (TSF) dam failures recorded around the world have concerned society in general, forcing the mining industry to improve its operating standards, invest greater economic resources, and implement the best available technologies (BATs) to control TSFs for safety purposes and avoid spills, accidents, and collapses. In this context, and as the era of digitalization and Industry 4.0 continues, monitoring technologies based on sensors have become increasingly common in the mining industry. This article studies the state of the art of implementing sensor technologies to monitor structural health and safety management issues in TSFs, highlighting advances and experiences through a review of the scientific literature on the topic. The methodology applied in this article adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and utilizes scientific maps for data visualization. To do so, three steps were implemented: (i) a quantitative bibliometric analysis, (ii) a qualitative systematic review of the literature, and (iii) a mixed review to integrate the findings from (i) and (ii). As a result, this article presents the main advances, gaps, and future trends regarding the main characteristics of the sensor technologies applied to monitor TSF structural health and safety management in the era of digitalization. According to the results, the existing research predominantly investigates certain TSF sensor technologies, such as wireless real-time monitoring, remote sensors (RS), unmanned aerial vehicles (UAVs), unmanned survey vessels (USVs), artificial intelligence (AI), cloud computing (CC), and Internet of Things (IoT) approaches, among others. These technologies stand out for their potential to improve the safety management monitoring of mine tailings, which is particularly significant in the context of climate change-related hazards, and to reduce the risk of TSF failures. They are recognized as emerging smart mining solutions with reliable, simple, scalable, secure, and competitive characteristics.

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“…In this context, real-time data collection technologies through sensors play a fundamental role in the development of Industry 4.0 applied to mining, requiring the development of sensors with efficiency, precision, speed, quality, and low cost in the data collection, and in this way, feed enough information to other intelligent systems within the digital mine [ 17 ]. By having the ability to analyze and interpret more information in real time, it will be possible to make proactive and intelligent decisions that benefit the production process, safety, and sustainability of the mining activity [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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

Cacciuttolo,

Guzmán,

Catriñir

et al. 2023

Sensors

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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.

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Orderliness in Mining 4.0

Cited by 11 publications

References 28 publications

Development of Surface Mining 4.0 in Terms of Technological Shock in Energy Transition: A Review

Development of Surface Mining 4.0 in Terms of Technological Shock in Energy Transition: A Review

Sensor Technologies for Safety Monitoring in Mine Tailings Storage Facilities: Solutions in the Industry 4.0 Era

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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