Datamine Reconcilor 2024 v9.8.0

Datamine Reconcilor 2024 v9.8.0

Datamine Reconcilor is a specialized software solution designed for operational mine reconciliation—the fundamental process of comparing what was planned (in the resource model and mine design) with what was mined (surveyed and sampled) and what was processed (plant feed and recovery). It is the core tool for closing the “reconciliation loop,” identifying discrepancies, and driving continuous improvement in mining accuracy and profitability. By integrating data from geology, surveying, mining, and processing, Reconcilor provides a single source of truth for production performance, helping to reduce dilution, improve grade control, and validate the resource model.

Primary Users

Reconcilor is a mission-critical operational tool for professionals in active mining:

• Mine Geologists & Resource Geologists tracking ore control, grade prediction vs. actuals, and updating resource models.

• Mine Surveyors reconciling volumetric data from surveys with design models.

• Production Engineers & Superintendents monitoring daily/weekly performance against the mine plan (ore tonnage, grade, metal content).

• Metallurgists & Plant Personnel comparing plant feed and recovery with mine production data.

• Financial Controllers & Mine Accountants validating production for revenue reporting and inventory valuation.

• Technical Service Managers responsible for the end-to-end mining value chain from block model to concentrate.

Key Features & Capabilities

Core Reconciliation Workflows

• Multi-Dimensional Reconciliation: Standard “1D” (Tonnage & Grade), “2D” (Spatial), and “3D” (Full Block Model) reconciliation methodologies.

• Automated Data Integration: Connects to and harmonizes data from multiple sources:

  • Resource/Reserve Block Models (from Datamine RM, Leapfrog, Vulcan)

  • Survey Data (from Vulcan, Maptek, Surpac, GPS equipment)

  • Grade Control & Blast Hole Data

  • Trucking/Haulage data (from dispatch systems like Wenco, Modular)

  • Plant & Stockpile Data (from SCADA and LIMS systems)

• Flexible Comparison Periods: Reconcile by shift, day, week, month, or custom mining periods.

Advanced Analysis & Visualization

• Spatial Discrepancy Mapping: Visually map areas of over-dig, under-dig, grade overestimation, or underestimation directly onto pit plans and sections.

• Statistical Analysis Tools: Generate reconciliation statistics (mean, variance, regression plots) to quantify bias and precision in predictions.

• Dynamic Reporting Engine: Pre-configured and customizable reports (PDF, Excel) for daily production meetings, monthly performance reviews, and regulatory compliance (e.g., JORC, NI 43-101 reporting of production vs. reserve).

• Audit Trail: Complete history of data sources, assumptions, and user actions for critical reporting integrity.

Operational Intelligence

• KPI Dashboard: Configurable dashboards showing key metrics like Mining Dilution, Ore Loss, Grade Prediction Error, and Metal Accounting Variance.

• Alerts & Notifications: Set thresholds to automatically flag significant reconciliation variances for immediate investigation.

• Forecast Adjustment: Use reconciliation trends to adjust short-term forecasts and feed plans.

What’s New in Reconcilor 2024 v9.8.0

Version 9.8.0 focuses on automation, cloud connectivity, and enhanced metallurgical accounting:

1. AI-Assisted Variance Detection: New machine learning module analyzes historical reconciliation patterns to automatically highlight and suggest root causes for current discrepancies (e.g., “This spatial pattern of grade overestimation is similar to Issue X from Q3 last year, linked to a specific digging area.”).

2. Cloud Data Connectors (Reconcilor Connect): Streamlined, real-time APIs for pulling data directly from cloud-based fleet management, IoT sensor platforms, and modern cloud-hosted LIMS (Laboratory Information Management Systems).

3. Enhanced Metallurgical Balance Integration: Tighter, more automated two-way link with plant data, enabling true “Mine-to-Metal” reconciliation that includes mill recovery, concentrate grades, and final product.

4. Advanced Blending & Stockpile Tracking: New logic for tracking the movement and blending of material from multiple sources through complex stockpile networks, improving accuracy in feed origin attribution.

5. Improved Performance & Scalability: Optimized database queries and in-memory processing for sites with massive datasets (e.g., high-frequency truck GPS data, millions of blast hole assays).

6. Modernized Web Reporting Portal: A lightweight web-based viewer for superintendents and managers to access key reconciliation dashboards and reports without installing the full desktop client.

🖥️ System Requirements

Minimum Requirements (For Small Mine Sites)

• OS: Windows 10 Pro 64-bit (21H2)

• CPU: Intel Core i5-10500 or AMD Ryzen 5 3600 (6 cores)

• RAM: 16 GB

• GPU: Dedicated graphics card with 4 GB VRAM (NVIDIA Quadro P1000 or GeForce GTX 1650)

• Storage: 500 GB NVMe SSD + 1 TB secondary storage for project data

• Network: Stable LAN connection to central database/server

Recommended Requirements (For Large, Active Operations)

• OS: Windows 11 Pro or Windows 10 Pro for Workstations

• CPU: Intel Core i9-13900K or AMD Ryzen 9 7950X (High single-thread & multi-thread performance)

• RAM: 64 GB – 128 GB (Essential for large block models and in-memory processing)

• GPU: NVIDIA RTX A4000 (16 GB VRAM) or higher for complex 3D visualization of spatial reconciliation

• Storage: 1 TB NVMe SSD (OS & Software) + 4+ TB RAID 10/SSD array for active project databases

• Database: Typically deployed with a centralized Microsoft SQL Server (Standard or Express edition depending on site size) on a separate server.

• Network: 1 GbE minimum; 10 GbE preferred for sites with high data volume.