Improving mine mill performance in large metallurgical complexes

摘要

The lack of integration of mining and metallurgical information with sufficient detail to analyze and act is a problem. Without such data, mine cut-off grade can not be optimized on aper grade basis. It is difficult to analyze the economics without an integrated view of mine transactions, stockpile inventories, process flows and assays. However, to take action requires real time information from manufacturing assets, corrected for gross errors from trucks, shovels, conveyors, faulty sensors, bad instrument calibration. Validation methods use process models to identify inconsistent information in the case of corrupt actionable information. This paper presents new tools that sift through available data, identify and eliminate gross errors, and use statistical data reconciliation based on the process topology to create material balanced, internally consistent flows. Models allow data to be unified natural to navigate by both monitoring and decision making processes.