Hardware realization of collision avoidance method in VLF-LF frequency bands in mine conditions

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 548, P. 04001 - 04001

Published: Jan. 1, 2024

The paper proposes a method of measuring the distance between mining equipment and workers in complex conditions underground mine workings considering influence absorbing properties rocks presence turns obstacles. consists using magnetic beacon, operating VLF-LF frequency range, on body receivers miner's to register proximity notify person about it. Registration convergence is carried out by RSSI methods. authors propose design solution beacon receiver, which includes amplification stages for signal registration at 30-35 meters. also presents measurement error information parameter under ground surface tunnel.

Language: Английский

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Mining Safety Through Artificial Intelligence: A Survey

Journal of Mines Metals and Fuels, Journal Year: 2024, Volume and Issue: unknown, P. 541 - 555

Published: Sept. 4, 2024

The challenges workers face in underground mines are numerous and hazardous, with potential threats to their safety well-being. Mining accidents caused by various factors, including hardware errors environmental deficiencies. In response these hazards, the mining industry has made significant efforts improve through implementation of advanced technologies. Artificial Intelligence (AI) technology been notably integrated into mine ventilation systems recent years. A network a is sophisticated system many interdependent processes, some which present difficulties for deterministic simulation techniques. This paper aims discuss major hazards provide an overview AI advances monitor parameters such as gas concentrations heat.

Language: Английский

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Real-Time Object Detection and Tracking for Occupational Health and Safety (OHS) in Mining Operations Using Streamed CCTV Data

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1404(1), P. 012003 - 012003

Published: Oct. 1, 2024

Abstract Occupational Safety and Health (OHS) is very important in the mining industry which prone to accident risks. Automatic detection of violations through CCTV streaming with concept a perimeter area needed prevent accidents. The purpose this research create violation system without re-modeling training that can adapt different objects regions. proposed model includes four computational steps, namely (i) data reading, (ii) pre-processing, (iii) object detection, (iv) tracking detection. computer vision technique uses SIFT (Scale Invariant Feature Transform) algorithm heuristics implemented OpenCV. We used five video recordings operations as examples. results showed an average precision 61.14%, 80.41%, recall 69.38%. computation time 0.3 seconds per frame allow be real-time. widely various fields locations having retrain improve OHS other sectors similar This study will contribute development flexible, fast, real-time automatic system.

Language: Английский

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Estimation of Radio Attenuation Constants for Underground Mine Communication Systems Using Radio Wave Propagation Simulation

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

This study aims to validate the estimation of radio wave attenuation constants in underground mine communication systems using propagation simulation. Unlike open-pit mines, mines necessitate stringent safety measures protect workers event mechanical failures or rock falls. Early detection and warnings potential hazards are crucial for safety, prompting implementation monitoring systems. Wireless is increasingly favored its ability simplify complex installation these environments. However, designing an effective system must account factors such as influence physical obstacles. Simulations can estimate required number locations wireless devices, aiding design. In this study, RSSI (Received Signal Strength Indicator) values at Osarizawa were calculated InSite software compared measured values, showing error 4.41 dB. The constant was determined be 4.90 ×10^{− 2} dB/m.

Language: Английский

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A Wireless Sensor Network for Coal Mine Safety Powered by modified Localization algorithm

Heliyon, Journal Year: 2024, Volume and Issue: 11(1), P. e41262 - e41262

Published: Dec. 24, 2024

Language: Английский

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