Exploring the Application of Digital Twins in SAG Milling Operations

🔍 Gemelos digitales aplicados a la molienda como réplica virtual de un molino físico para optimizar procesos metalúrgicos.

📊 Desarrollo de sensores inteligentes y sistemas de dosificación de reactivos para mejorar la eficiencia de la molienda y flotación en la minería.

🌐 Importancia de la interoperabilidad y la conectividad entre los gemelos digitales y otros sistemas para lograr una operación segura y eficiente.

💡 A digital twin is a virtual replica of a physical object, applied in the context of SAG milling.

🔗 The digital twin combines real-time data from the control system with other inputs, such as laser scanning and particle size analysis.

🧠 The digital twin uses advanced models and machine learning algorithms to create a dynamic replica of the mill, allowing for optimization and control of the grinding process.

Digital twins in mining enable optimization of the grinding process.

Three tools are used to create digital twins: simulation, integration systems, and big data.

Simulation tools allow for the replication of mill dynamics and wear patterns.

🔑 Digital twins are being applied in the mining industry, particularly in the area of grinding.

🌐 To develop a digital twin for grinding, four areas of knowledge need to be addressed: mineral characterization, phenomenological models, ball charge, and liner wear.

💻 A digital twin is a digital platform that combines predictive, simulation, and analysis tools based on operational data to create a virtual replica of the mill.

🔍 The digital twin combines simulation and machine learning to optimize milling operations and predict future power requirements.

💻 The hybrid modules of the digital twin use simulation and calibration to match experimental data, allowing for accurate wear prediction.

🌐 The digital twin can be implemented in the cloud, with data integration and cybersecurity considerations.

📡 The implementation of digital twins in the SAG milling process offers advantages such as improved cybersecurity and reduced latency.

🔧 Digital twins provide the simulation and control of various parameters in the milling process, including the measurement of the size of the charge and the evaluation of wear on mill linings.

🌐 Interoperability is crucial for the success of digital twins, allowing for automated simulations and the integration of data from different stages of the mining process.

🔑 It is important to have a well-calibrated mineral tracking system and integrated sensors in the digital twin for effective grinding operations.

📊 The digital twin can optimize grinding operations by controlling the size of the feed and recommending timely changes to the mill liners for maximum productivity.

🔬 The digital twin also simulates the wear life of mill liners and provides insights for optimal operation based on impact vulnerability and wear patterns.