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Real-Time Mineral Extraction Monitoring Dashboard for Enhanced Operational Efficiency
  1. case
  2. Real-Time Mineral Extraction Monitoring Dashboard for Enhanced Operational Efficiency

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Real-Time Mineral Extraction Monitoring Dashboard for Enhanced Operational Efficiency

osedea.com
Energy & natural resources
Manufacturing
Information technology

Challenges in Manual Mineral Extraction Processes

Manual analysis of fused mineral cooling processes resulted in frequent defects, inefficient data management, and lack of real-time insights. Technical constraints included deployment on an isolated Windows VM with limited capacity, integration challenges between MongoDB and InfluxDB, and IoT-like connectivity issues with monitoring equipment.

About the Client

Nonprofit research center specializing in mineral processing innovation and operational efficiency optimization for mining corporations

Goals for Real-Time Monitoring Solution

  • Automate material concentration analysis through video stream processing
  • Reduce defect rates in mineral extraction processes
  • Enable real-time data visualization and export capabilities
  • Optimize data handling within constrained server environments

Core System Functionalities

  • Video stream integration with algorithmic material analysis
  • Interactive data visualization with graph pin-pointing capabilities
  • Multi-format data export (CSV, tabular formats)
  • Real-time temperature/shape/color change monitoring
  • KPI tracking and comparative analysis tools

Technology Stack Requirements

Python
Docker
MongoDB
InfluxDB
JavaScript
Web Components

System Integration Needs

  • Camera/video stream APIs
  • Private server database connectors
  • Legacy Windows VM compatibility layer

Operational Constraints

  • Low-bandwidth data optimization
  • Microservices architecture for memory efficiency
  • Offline-first capabilities for isolated environments
  • Long-term maintainability (20+ year lifespan)

Expected Business Impact

15+ daily uses by mine personnel with 70% reduction in manual analysis time, significant defect rate reduction through real-time monitoring, and improved operational decision-making via actionable data insights. Enables proactive process adjustments while maintaining compliance with strict data handling requirements in isolated environments.

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