Metrology-Driven Standardization of Sensor Networks in Mining: A RAMI 4.0 Approach to Sustainable and Efficient Ventilation Systems
Abstract
The mining sector is undergoing a profound shift as Industry 4.0 technologies—IoT, AI, robotics—reshape operational planning and execution. This study explores the integration of Mine IoT to modernize mining practices, emphasizing metrology-driven advancements in real-time monitoring, predictive maintenance, and autonomous systems. Accurate measurement and standardized data are central to improving efficiency, enhancing safety, and advancing sustainability goals. A smart ventilation case study illustrates how RAMI 4.0, combined with digital metrology, enhances interoperability, enables seamless integration, and supports scalable, adaptable systems for improved energy use, safety, and long-term resilience. Metrological traceability is embedded throughout system layers to support interoperability and long-term performance. RAMI 4.0’s structured framework ensures traceable data from calibrated sensors and uncertainty-aware analytics, aiding reliable decision-making and regulatory compliance. The study also highlights the role of standardization in facilitating communication across devices, platforms, and vendors. Achieving these outcomes requires strategic planning, skilled personnel, and cross-sector collaboration.
Event details
- Event
- TC6 M4Dconf2025
- Technical Committee
- TC6
- info@m4dconf.org
- Place
- Benevento, ITALY
- Time
- 3 September 2025 - 5 September 2025
- Website
- https://www.m4dconf.org/