Advancing toward sustainability: The emergence of green mining technologies and practices

Deleted Journal, Год журнала: 2024, Номер 1(2), С. 157 - 174

Опубликована: Июнь 1, 2024

This study comprehensively evaluates the integration and effectiveness of green mining technologies within sector, specifically focusing on mitigating environmental impact traditional practices. The primary goal is to establish a sustainable model that significantly reduces energy consumption minimizes ecological disturbances. To achieve this, employs mixed-method approach, integrating quantitative data analysis from monitored sites qualitative insights industry experts. Key parameters include consumption, greenhouse gas emissions, reductions in chemical use. findings reveal effective leads significant lower improved waste management compared methods. Specifically, use electric vehicles renewable sources operations has resulted decreased carbon emissions usage across studied sites. research concludes practices, when supported by robust technological regulatory frameworks, not only enhance sustainability but also boost economic efficiency industry. recommends increased investment development calls for tighter oversight ensure widespread adoption optimization these

Язык: Английский

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Recent advances in blockchain technology: prospects, applications and constraints in the minerals industry

International Journal of Mining Reclamation and Environment, Год журнала: 2024, Номер 38(7), С. 497 - 533

Опубликована: Фев. 26, 2024

One of the most important sectors world economy is mining and metals sector. Although, many operational commercial procedures continue to be ineffective out-of-date, which results in crucial data omissions, security flaws, sometimes corruption. Given that industry wants increase emphasis on ethical open practices, has been looking for ways incorporate these practices. It envisioned such practices will contribute modernisation supply chains addition helping reduce risks related sustainability reputation. The application blockchain technology minerals capable tracking natural resources discussed this study, giving a much-needed layer transparency technology. However, there are lot difficulties problems come up when thinking about technology; if it advance as an standard, stakeholders need evaluate usefulness scalability While can applied wide range areas industry, study shines more light conflict tracking, mineral reporting cheating scandals, rock mechanics designs monitoring strategy, blasting operation, mine ventilation applications, machinery maintenance management, surveying. reveals starting seriously evaluated used by variety stakeholders, even though broad acceptance not yet attained.

Язык: Английский

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How will the digital twin shape the future of industry 5.0?

Technovation, Год журнала: 2024, Номер 134, С. 103025 - 103025

Опубликована: Май 3, 2024

Industry 5.0 is on the horizon, but role of digital twins (DTs) as one its major technological enablers far from being understood. This article begins with a bibliometric analysis and systematic review, followed by discussion insights obtained literature through lens strong structuration theory. The results include description new paradigm future-oriented responsible physical-digital convergence, research agenda, proposal structure – agency (SA)–DT framework to guide advances in twins. A concept-centric used identify use cases, impacts, redesigned forms physical–digital interaction, challenges, changes both human non-human agents increasingly intertwined more advanced DT solutions. Moreover, this study reveals how can be deployed address, an integrated manner, three main pillars 5.0: human-centric, sustainable, resilient industry transformation. Practitioners may find our contribution helpful for their roadmaps, which require ample interaction society at all levels evidence practices current future generations.

Язык: Английский

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

Sensors, Год журнала: 2023, Номер 23(15), С. 6846 - 6846

Опубликована: Авг. 1, 2023

Nowadays, monitoring aspects related to sustainability and safety in mining activities worldwide are a priority, mitigate socio-environmental impacts, promote efficient use of water, reduce carbon footprint, renewable energies, mine waste, minimize the risks accidents fatalities. In this context, implementation sensor technologies is an attractive alternative for industry current digitalization context. To have digital mine, sensors essential form basis Industry 4.0, allow more accelerated, reliable, massive transformation, low-cost technology solutions may help achieve these goals. This article focuses on studying state art implementing monitor activities, through review scientific literature. The methodology applied was carried out by means Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines generating science mapping. For this, methodological procedure three steps implemented: (i) Bibliometric analysis as quantitative method, (ii) literature qualitative (iii) Mixed method integrate findings found (ii). Finally, according results obtained, main advances, gaps, future directions smart exposed. Digital transformation data measurement with real-time monitoring, wireless network systems, artificial intelligence, machine learning, twins, Internet Things, among other 4.0 era discussed.

Язык: Английский

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New Game Artificial Intelligence Tools for Virtual Mine on Unreal Engine

Applied Sciences, Год журнала: 2023, Номер 13(10), С. 6339 - 6339

Опубликована: Май 22, 2023

Currently, the gamification of virtual reality for training miners, especially emergencies, and designing extraction minerals in difficult technological conditions has been embodied Virtual Mine software hardware. From a development point view, is indistinguishable from other games, this offers chance to use potential rapidly developing game mining, including engines, 3D modeling tools, audio editors, etc., solve wide range tasks. The chosen direction will optimize work developers by providing tool artificial intelligence problems that require implementing behavior agents without using rigidly defined choice scenarios or chains these scenarios. aim expand possibilities working with on Unreal Engine engine make it more functional. As result, obtained can be used time improve quality flexible approaches. asset editor was developed, application modes their tabs were defined, graphical node system behavioral graph created. A executing given; algorithms its operation features nodes are presented.

Язык: Английский

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Reviewing energy efficiency and environmental consciousness in the minerals industry Amidst digital transition: A comprehensive review

Resources Policy, Год журнала: 2024, Номер 91, С. 104851 - 104851

Опубликована: Март 3, 2024

Язык: Английский

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

Minerals, Год журнала: 2024, Номер 14(5), С. 446 - 446

Опубликована: Апрель 24, 2024

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

Язык: Английский

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A Multi-Camera System-Based Relative Pose Estimation and Virtual–Physical Collision Detection Methods for the Underground Anchor Digging Equipment

Mathematics, Год журнала: 2025, Номер 13(4), С. 559 - 559

Опубликована: Фев. 8, 2025

This work proposes a novel multi-camera system-based method for relative pose estimation and virtual–physical collision detection anchor digging equipment. It is dedicated to addressing the critical challenges of achieving accurate reliable between multiple devices during collaborative operations in coal mines. The key innovation that multi-target system established collect images, completed by EPNP (Efficient Perspective N-Point) algorithm based on infrared LED targets. At same time, combined with characteristics roadheader drilling machine, AABB (Axis Alignment Bounding Box) simple structure convex hull strong wrapping are selected create mixed hierarchical bounding box, carried out combining SAT (Split Axis Theorem) GJK (Gilbert–Johnson–Keerthi) algorithms. experimental results show error within 20 mm, an angular 1.002°. position X-axis direction 1.160 maximum deviation Y-axis 0.957 mm space. Compared existing methods, our integrates digital twin technology, has structure, which can meet requirements attitude equipment process heading face operation, at time improve performance.

Язык: Английский

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Maintenance 4.0 in Mining Trucks: Data Digitalization and Advanced Protocols

Procedia Computer Science, Год журнала: 2025, Номер 253, С. 2147 - 2155

Опубликована: Янв. 1, 2025

Язык: Английский

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Knowledge-Inference-Based Intelligent Decision Making for Nonferrous Metal Mineral-Processing Flowsheet Design

Minerals, Год журнала: 2025, Номер 15(4), С. 374 - 374

Опубликована: Апрель 3, 2025

With the increasing diversification of ore types and complexity processing techniques in mining industry, traditional decision-making methods for mineral flowsheets can no longer meet high efficiency intelligence requirements. This paper proposes a knowledge graph-based framework constructing mineral-processing design base reasoning, aiming at providing intelligent efficient decision support engineers. integrates Chinese NLP models text vectorization, optimizes prompt generation through Retrieval Augmented Generation (RAG) technology, realizes graph construction, implements reasoning nonferrous metal using large models. By analyzing genetic characteristics ores requirements techniques, outputs reasonable flowsheet designs, which could help engineers save research time labor optimizing processes, selecting suitable reagents, adjusting process parameters. Through analysis three typical copper mines, demonstrates its advantages improving design, shows good potential further application complex environments.

Язык: Английский

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