reetmine

Reetmine is a theoretical framework and technology platform for automated, real-time data-driven resource extraction. It envisions mining operations that combine robotics, modular tunneling, and advanced analytics to optimize efficiency, safety, and environmental performance. The name is commonly interpreted as a contraction of Real-Time Enhanced Extraction Technology, highlighting its emphasis on dynamic decision-making informed by live sensor data.

Origin and development have been described in industry and academic discussions during the early 2020s, with emphasis on integrating autonomous equipment, digital twins, and energy management. Proponents argue that reetmine can reduce energy use, minimize waste rock, and improve worker safety by shifting routine tasks to remotely monitored or autonomous systems. Critics point to high initial capital costs, the need for robust cyber-security, and the complexity of coordinating diverse technologies in harsh underground or offshore environments.

Core components typically include autonomous drilling and hauling units, dense networks of geological and equipment sensors, AI-driven planning and scheduling, and modular tunnel segments designed for rapid assembly and reconfiguration. The platform often relies on real-time monitoring, predictive maintenance, and advanced energy management to adapt extraction strategies to changing rock properties and market conditions.

Applications span conventional metal and mineral mines, offshore deposits, and research settings exploring in-situ resource extraction. Environmental and regulatory considerations emphasize down-gradient monitoring, spill and leakage prevention, and adherence to safety and environmental standards.

See also: automated mining, robotic mining, digital twin, IoT in mining.