Ore Desorption Process Optimization

Challenge

Build a model which provides information necessary to find the Golden Batch within the Ore Desorption Process in order to benchmark it.

Difficulty in the process of consistent data gathering and using this data to perform analysis.  Substitution of the software PI Batch for PI Event Frames.

Approach

Build a model which provides information necessary to find the Golden Batch within the Ore Desorption Process in order to benchmark it.

Difficulty in the process of consistent data gathering and using this data to perform analysis.  Substitution of the software PI Batch for PI Event Frames

Implementation of a Desorption process model, using PI System tools to analyze each batch parameter.  Development of analysis and parameter calculation, Event Frames for consumables and parameters monitoring.

Outcome

  • Increase in batch performed from 7 to 13 a day, improving the process efficiency.
  • Better consumable and parameter control in the process execution.

Expansion of the solution to other plants.

Benefit

  • Improve the ore desorption process efficiency through operational parameters real-time monitoring and visualization, in order to find the Golden Batch.
  • Be able to support operational level changes with historical information.
  • Control the consumables used in each batch and define action plans to optimize the use.
  • Adjust the process in order to replicate any changes in other plants.
  • Migrate the current tool used to track the process (PI Batch) for a new one (Pi Event Frames).
  • Consistent data collection.

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