Interdisciplinary Studies for Sustainable Mining

Choi, Yosoon

doi:10.3390/app13074621

Cited by 2 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mining projects have always been challenging, for example, being located in complex geographic locations, with extreme climates, rugged topographies, and the presence of surrounding communities and ecosystems [ 5 ]. Another challenge is its complex and multidisciplinary nature, due to the different areas that make up the systemic structure of a mining project, requiring the participation of professionals from various disciplines [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is possible to mention that low-cost sensors have been proposed as a complement to existing conventional monitoring networks, to increase spatiotemporal resolution and provide real-time information on the level of exposure of production systems, environment of labor, and environment of mining operations [ 8 , 9 ]. The great challenge in the use of these low-cost sensors is to generate sufficiently reliable data to be considered in decision making for the management of the operations of an intelligent digital mine [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

An Integrated Quality Management System (QMS) Combined with AI/ML Guidelines for the Design and Development of Sustainable Products and Services for IT and Engineering R&D Companies Providing Solutions to Global Mining Organizations

Harkawat

2024

jmmf

View full text Add to dashboard Cite

As per Nature1 , AI may act as an enabler on 134 targets (79%) across all Sustainable Development Goals (SDGs), generally through technological improvement and by putting the right processes in place to ensure compliance with applicable regulations, certifications, and standards. As the sustainability and green tech market2 is expected to grow at 21% CAGR and will reach $73 billion by 2023, it's the best time for IT and Engineering R&D (ERD) companies to strengthen their internal processes to ensure that mining customers are served in a better way. The mining solutions are driven by tightening regulations, shifting customer preferences, and higher compliance requirements. Mining companies must act on many fronts, changing supply networks, manufacturing processes, and business models. Companies are also rethinking how their products are designed, engineered, and used, looking for ways to meet performance and quality requirements while using fewer resources across the full life cycle of everything they make/implement/use. India is a leading software exporter, and many companies are supporting global mining customers across the world. It’s now the right time for IT and ERD companies to ensure that mining customers are supported in this fast-changing business and regulatory environment. For sustainable product development/services, companies need to put a strong internal Quality Management System (QMS), ensuring better compliance and usage of AI/ML and tools and related standards/certifications. So, the researcher is proposing a conceptual integrated QMS to support sustainable product development/services which can be used by IT and ERD companies developing mining solutions. The proposed system will provide a high-level view of the required standards, procedures, guidelines, templates etc., which will be compliant with the global sustainability standards/certifications requirements.

show abstract

Interdisciplinary Studies for Sustainable Mining

Abstract: Mining is an essential sector for economic development, as it provides valuable resources that are crucial for modern living.

Cited by 2 publications

References 27 publications

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

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

An Integrated Quality Management System (QMS) Combined with AI/ML Guidelines for the Design and Development of Sustainable Products and Services for IT and Engineering R&D Companies Providing Solutions to Global Mining Organizations

Contact Info

Product

Resources

About