Year: 2025
Type: article
Abstract: The mining industry plays a crucial role in global economic development but is inherently hazardous, posing significant risks to both human safety and the environment. Effective hazard identification and risk analysis are vital for mitigating these dangers. This project focuses on a comprehensive approach to hazard identification and risk analysis in mining, highlighting the integration of advanced methodologies, technologies, and collaborative frameworks to enhance safety measures. The objective is to develop a framework for identifying, assessing, and controlling risks at all stages of mining, from exploration to decommissioning. The approach combines traditional risk analysis methods, such as Hazard Identification (HAZID) and Failure Modes and Effects Analysis (FMEA), with innovative tools like machine learning, real-time data monitoring, and predictive analytics. The merging these modern tools with established techniques, the project aims to improve the accuracy of risk assessments and enable proactive decision-making. It emphasizes a multi-disciplinary approach, incorporating input from engineers, safety experts, environmental scientists, and workers, ensuring a well-rounded evaluation of risks. Through case studies and industry collaboration, the research explores how the mining industry can develop a safety culture where risk management is integral to daily operations. Ultimately, this holistic approach seeks to reduce accidents, environmental damage, and operational disruptions, contributing to a safer, more sustainable mining industry. The framework can be adapted across different mining sectors, fostering safer workplaces and minimizing the negative impacts on communities and ecosystems.
Authors: E R Sivakumar, R Hari Sethu Madhavan
Language: English
Topic: Industrial and Mining Safety
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410100116