Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K
Thematic Layering in GIS01:30

Thematic Layering in GIS

316
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
316

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry.

Sensors (Basel, Switzerland)·2026
Same author

Internet of Things Long-Range-Wide-Area-Network-Based Wireless Sensors Network for Underground Mine Monitoring: Planning an Efficient, Safe, and Sustainable Labor Environment.

Sensors (Basel, Switzerland)·2024
Same author

Human Health Risk Assessment for Exposure to Heavy Metals via Dietary Intake of Rainbow Trout in the Influence Area of a Smelting Facility Located in Peru.

Toxics·2023
Same author

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 (Basel, Switzerland)·2023
Same author

Socio-Environmental Risks Linked with Mine Tailings Chemical Composition: Promoting Responsible and Safe Mine Tailings Management Considering Copper and Gold Mining Experiences from Chile and Peru.

Toxics·2023
Same author

Low-Cost Technologies Used in Corrosion Monitoring.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jan 11, 2026

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.8K

Development of an Advanced Multi-Layer Digital Twin Conceptual Framework for Underground Mining.

Carlos Cacciuttolo1, Edison Atencio2, Seyedmilad Komarizadehasl3

  • 1Department of Civil Engineering, Universidad de Castilla-La Mancha, Av. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
Summary

Digital Twin (DT) technology revolutionizes underground mining by creating real-time virtual replicas for enhanced safety and operational efficiency. This study proposes a framework to overcome implementation challenges and foster adoption in the Industry 4.0 era.

Keywords:
decision support systemdigital twinsexpert panel surveylifecycle managementmonitoringpredictionsimulationunderground mine

More Related Videos

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.2K

Related Experiment Videos

Last Updated: Jan 11, 2026

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.8K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

2.2K

Area of Science:

  • Digital mining and Industry 4.0 technologies
  • Application of sensors and real-time data in mining operations
  • Development of virtual models for physical assets

Background:

  • Industry 4.0 paradigm drives technological evolution in mining.
  • Sensors and digital tools enhance mining safety, productivity, and sustainability.
  • Digital Twin (DT) technology integrates various Industry 4.0 tools to create virtual replicas for analysis.

Purpose of the Study:

  • To propose a strategy for implementing Digital Twins in underground mines.
  • To define an advanced, multi-layered conceptual framework for underground mine Digital Twins.
  • To address challenges hindering Digital Twin adoption in the mining sector.

Main Methods:

  • Development of a multi-layered conceptual framework for underground mine Digital Twins.
  • Strategy formulation including continuous training, expert partnerships, and infrastructure investment.
  • Validation of the conceptual framework through expert panel questionnaires.

Main Results:

  • Digital Twins offer real-time operational optimization, improved safety, strategic planning, and cost reduction.
  • Significant challenges include data integration complexity, high costs, resistance to change, and skill shortages.
  • The proposed framework aims to overcome these barriers by providing a structured approach.

Conclusions:

  • Digital Twin technology holds transformative potential for underground mining operations.
  • A comprehensive conceptual framework and strategic implementation are crucial for successful adoption.
  • Addressing technical, financial, and organizational challenges is key to realizing the benefits of Digital Twins.