Artificial Intelligence

Opti-Num developed an automated Geoscan reporting tool that corrects and visualises raw sensor data, improving measurement accuracy, transparency, and operational efficiency across mining processes.

CLIENT
A Leading Mining Company
sector
Smart Mining & Manufacturing
Read time
10 Min
Overview
The Challenge
The Solution
The Results
The numbers

The Challenge

In mining operations, Geoscan devices measure material properties on conveyor belts or at key sampling points. While these sensors provide critical insight into feed composition, their raw readings are often affected by operational noise, environmental variation, or calibration drift—resulting in inaccurate or inconsistent data.

To trust these measurements in downstream processes such as control and reconciliation, consistent correction is required. The client engaged Opti-Num to design a repeatable, automated reporting tool that could apply corrections to raw Geoscan data and visualise the adjusted outputs in a transparent and auditable way.

The core challenge was to produce daily reports that compared raw vs. corrected data with full traceability—without relying on manual effort or user intervention. The tool also needed to integrate with the customer's advanced process control system to support plant-wide accessibility.

The Solution

Opti-Num developed a standalone, MATLAB-based executable that automatically processes raw Geoscan data, applies calibrated offsets, and generates a comprehensive report.

Correction Logic and Configuration - The tool uses an external JSON configuration file to define input file paths, correction parameters, and output locations. This ensures flexibility and repeatability without modifying the core executable.

Visual Reporting - Each report includes:

  • Calculating correlations between raw and corrected values, along with additional metrics to verify Geoscan accuracy.
  • Diagnostic views of the applied offset
  • Summary statistics to support data interpretation and operational review

Daily and Ad Hoc Execution - The executable supports both scheduled (daily) automation and manual (ad hoc) runs. This dual functionality allows the tool to serve operational teams and technical analysts alike.

Integration with Operational Systems - The tool was designed to plug into the client’s existing data infrastructure, specifically the customer's advanced process control system allowing operational users to easily access and review the reports as part of their standard workflow.

The Outcome

The Geoscan Report tool established a dependable process for sensor correction and monitoring, improving both operational accuracy and data governance:

  • Reliable Feed Monitoring – Automated corrections ensure consistent tracking of material properties, even when raw sensor data is noisy or unstable.
  • Auditability and Transparency – Standardised reports provide clear visibility into how and why corrections are applied, supporting process assurance and compliance
  • Reduced Manual Effort– Engineers no longer need to manually clean or adjust Geoscan data, freeing uptime and reducing the risk of human error.
  • System Integration – Seamless alignment with operational systems such as the customer's advanced process control system makes reports easily accessible and fit-for-purpose.
  • Scalable Design – The JSON-based configuration approach enables reuse across different datasets, sites, or sensor systems.

By combining automation, data integrity, and operational insight, Opti-Num delivered a robust solution that enhances confidence in process monitoring and sets the foundation for smarter metallurgical accounting and control.

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