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Material Tracking ModelIntelliSense.io

Real-time material tracking and prediction module for mining, monitoring physical and metallurgical properties and their process impact.

Vendor

Vendor

IntelliSense.io

Company Website

Company Website

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Product details

The IntelliSense.io Material Tracking Model is a specialized software module within the IntelliSense.io industrial analytics platform, designed for mining and processing operations. It enables accurate, real-time tracking and prediction of both the metallurgical and physical properties of materials as they move through the value chain. The model monitors material transport—tracking flows, volumes, and key properties such as mineral content, hardness, and recovery rates—and assesses their influence on downstream processes. By providing a dynamic, continuous view of material movement and blending, the system helps operators understand the age, composition, and behavior of stockpiles and in-process materials. This information supports better decision-making, process optimization, and the breakdown of data silos between teams, ultimately stabilizing production and increasing operational value.

Key Features

Real-Time Material Tracking Monitors material flows and properties throughout the process.

  • Tracks volumes, mineral content, hardness, and recovery
  • Provides up-to-date status of stockpiles and in-process materials

Predictive Analytics Forecasts the impact of material properties on process performance.

  • Predicts process outcomes based on material characteristics
  • Supports proactive decision-making

Material Blending and Movement Modeling Simulates realistic material movement and blending.

  • Accounts for dozer activity and natural flow
  • Models age and spatial distribution of materials

Integration with Process Data Links material tracking with plant and operational data.

  • Facilitates end-to-end process visibility
  • Breaks down data silos between teams

Benefits

Improved Process Stability Reduces variability in production by understanding material influence.

  • Enables proactive adjustments to process parameters
  • Minimizes risk of process upsets

Enhanced Operational Value Supports higher throughput and recovery rates.

  • Informs decisions that increase production value
  • Reduces opportunity costs from untracked material changes

Cross-Team Collaboration Facilitates data-driven discussions and unified action.

  • Provides a single source of truth for material status
  • Improves communication between disciplines