Research on Underground Mine Helmet Detection Based on AOD-Net and Improved YOLOv5 DOI
Yiwei Zhang, Fan Zhang,

Tianchen Zuo

et al.

2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP), Journal Year: 2023, Volume and Issue: unknown, P. 696 - 701

Published: May 19, 2023

Language: Английский

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines DOI Creative Commons
Huili Zhang, Binghao Li, Mahmoud Karimi

et al.

IEEE Internet of Things Journal, Journal Year: 2023, Volume and Issue: 10(16), P. 14507 - 14526

Published: April 18, 2023

Internet of Things (IoT) technology has been widely used for real-time monitoring the environment, safety and production in underground mines. This paper presents basic structure a Mine (MIoT) system based on three-layer IoT architecture, classifies types sensors commonly mines by specific application, introduces available wired wireless communication technologies network topologies that can be applied provides comprehensive review recent developments applications to monitor various environmental parameters, including mine gas dust concentrations, temperature, humidity airflow, groundwater, ground support seismic activity. MIoT fire hazard detection, personnel equipment positioning, management have also investigated. highlights key challenges broad application such as operation disruption, additional investment, limited battery life, poor quality communication, difficulty data management. Further research novel advanced techniques, self-powered sensors, standardization technologies, is essential improve applicability effectiveness

Language: Английский

Citations

47

The Future of Mine Safety: A Comprehensive Review of Anti-Collision Systems Based on Computer Vision in Underground Mines DOI Creative Commons
Mohamed Imam, Karim Bäına, Youness Tabii

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(9), P. 4294 - 4294

Published: April 26, 2023

Underground mining operations present critical safety hazards due to limited visibility and blind areas, which can lead collisions between mobile machines vehicles or persons, causing accidents fatalities. This paper aims survey the existing literature on anti-collision systems based computer vision for pedestrian detection in underground mines, categorize them types of sensors used, evaluate their effectiveness deep environments. A systematic review was conducted following PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) guidelines identify relevant research work mining. The selected studies were analyzed categorized used advantages limitations study provides an overview mining, including cameras lidar sensors, detecting pedestrians Anti-collision are effective reducing fatalities operations. However, performance is influenced by factors, such as lighting conditions, sensor placement, range. findings this have significant implications industry could help improve analysis guide companies selecting most suitable system specific needs, ultimately risk

Language: Английский

Citations

27

Towards Mine 4.0: A Proposed Multi-Layered Architecture for Real-Time Surveillance and Anomaly Detection in an Open-Pit Phosphate Mine DOI Creative Commons
Laila El Hiouile, Ahmed Errami,

Nawfel Azami

et al.

Mining, Journal Year: 2024, Volume and Issue: 4(3), P. 672 - 686

Published: Sept. 17, 2024

Given the global importance and limited availability of phosphate, optimizing use this critical resource minimizing its wastage are paramount importance. In context, paper proposes an innovative architecture for implementation intelligent video surveillance system specifically designed open-pit phosphate mines. The proposed is to meet overall functional requirements a in challenging environment mining, while aligning with guidelines Mine 4.0 revolution. It incorporates advanced technologies that address challenges latency, data security, transparency commonly encountered traditional monitoring systems. By adopting multi-layered approach leverages edge, fog, cloud computing, coupled blockchain technology expert collaboration, our offers comprehensive framework efficient processing at every stage, from initial acquisition real-time anomaly detection decision-making.

Language: Английский

Citations

0

A Refuge System Development for Underground Mines through IIOT DOI
Kanchan Yadav,

M Vignesh,

S Sivaguru

et al.

Published: Nov. 23, 2024

Language: Английский

Citations

0

Research on Underground Mine Helmet Detection Based on AOD-Net and Improved YOLOv5 DOI
Yiwei Zhang, Fan Zhang,

Tianchen Zuo

et al.

2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP), Journal Year: 2023, Volume and Issue: unknown, P. 696 - 701

Published: May 19, 2023

Language: Английский

Citations

0