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Digital Twin for SAG Mills - SAG Digital Twin

Simulate, diagnose, and optimize the operation of your SAG mill with a digital replica of the asset.

The challenge

Critical variables difficult to observe

The critical variables of the mill cannot always be measured directly, and evaluating operational scenarios in the physical asset involves risk, time, and loss of production.

The solution

Digital replica for diagnosis and optimization

100% digital platform that replicates the behavior of the SAG mill using operational data, mineral characteristics, and design information. Provides calculated variables, alerts, analysis, and simulations to support control and optimization decisions.

Benefits

Software-based flexibility

Software-based flexibility

Operates entirely through software, with no additional hardware required, integrating specialized modules, customized simulations, alerts, recommendations, and self-calibration.

Greater visibility of variables

Greater visibility of variables

Provides visibility of variables that are difficult to measure directly.

Evaluation without intervention

Evaluation without intervention

Allows evaluation of scenarios and recommendations without intervening in the mill.

Stability and throughput

Stability and throughput

Supports operational stability, liner protection, and optimization of throughput by at least 2%.

How Does the Solution Work?

How Does the Solution Work?

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Operational Modules

JB and JC

Real-time monitoring of total mill filling (JC) and ball filling (JB).

Liner Wear

Prediction of maximum lifter height and attack angle.

Charge Position

Analysis of charge position based on toe, shoulder, and impact angles.

Charge Toe Size and Impacts

Monitoring of charge toe size and dynamic impact thresholds.

DEM Simulator

Optimized DEM simulator integration through One Click DEM.

Grate Blockage Detection

Quantifies the level of grate blockage in the SAG mill.

Full Lifter Profile Prediction

Predicts the complete lifter and plate profile based on 41 tracked points.

Inventory Request

Provides target Jc charge level guidance to support maintenance planning.

SAG Mill Operating States

Identifies overfilling and emptying events and provides optimization guidance.

Throughput Optimizer

Maximizes throughput according to charge toe size.

Ball Addition Optimizer

Estimates ball mass loss and optimizes ball addition to achieve the target Jb.

Optimal Load Cell Setpoint

Defines the optimal load cell setpoint according to campaign time.

Perfect Blend (+B&R)

Optimizes SAG mill feed particle size distribution through feeder speed adjustments.

T80 Optimizer (+B&R)

Optimizes SAG mill product size (T80).

Ramp-Up Reduction

Defines strategies to reduce ramp-up time.

Rotation Direction Strategy

Optimizes changes in rotation direction to maximize useful life or lifter performance.

Turning Operational Data to Actionable Insights

It can leverage existing cameras, offers end-to-end coverage and automatic classification, includes a platform with traceability, and applies across multiple stages of the process.
Captured information
01
Ball level (JB)
02
Load level (JC)
03
Lifter height
04
Foot size
05
Impacts
06
Operational variables
07
Mineral characteristics
08
Design information
Processing
Modeling and simulation of mill behavior
Results
01
Dashboard with key variables
02
Alerts
03
Cause analysis
04
Recommendations
05
Operational scenario simulation
Continuous model improvement
Captured information
01
Ball level (JB)
02
Load level (JC)
03
Lifter height
04
Foot size
05
Impacts
06
Operational variables
07
Mineral characteristics
08
Design information
Processing
Modeling and simulation of mill behavior
Results
01
Dashboard with key variables
02
Alerts
03
Cause analysis
04
Recommendations
05
Operational scenario simulation
Continuous model improvement

All Digital Solutions solutions

17 solutions available

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