search

Enter search content

Solution

Home > Solution > Volumetric Change Detection & Mine Production Auditing
Home > Solution > Volumetric Chan…

Volumetric Change Detection & Mine Production Auditing

We automate mine production auditing through precise 3D change detection. Our Farsight™ UAV System captures sequential site data, which is processed on the Swift4D platform to generate detailed 3D models and perform automated cut-and-fill volume analysis. This delivers reliable data for stockpile inventory management, production reconciliation, and detecting boundary violations, ensuring accurate financial and operational reporting.

In mine mining, volumetric change detection and production auditing are core to compliant resource management. Traditional methods suffer from low precision, poor efficiency and data lag. Feiyan Aerial Remote Sensing builds a solution for mine volumetric detection and production auditing based on the self-developed Swift4D Real-scene 3D Modeling Platform, integrating Y-1 UAV LiDAR and AI intelligent analysis. With high-precision point cloud solution, real-time 3D modeling and multi-phase data comparison capabilities, Swift4D, combined with regular patrol scheduling, achieves centimeter-level volumetric change detection and accurate mining volume accounting, providing precise and traceable basis for resource management and compliance verification.

Our Differentiated Solution Framework

With Swift4D as the core, the solution builds a four-layer technical framework:

1. Multi-source Stereo Data Collection LayerRelying on Feiyan Swift4D, Y-1 UAVs equipped with LiDAR and high-definition cameras are dispatched for full-domain mine data collection. Swift4D is compatible with point cloud, imagery and other formats for efficient data access.

2. Real-scene 3D & Point Cloud Calculation LayerSwift4D completes 1:1000 high-precision 3D mine modeling, realizes centimeter-level volume extraction and multi-phase terrain comparison via self-developed algorithms, and identifies volumetric variation.

3. AI Intelligent Detection & Auditing LayerSwift4D's built-in SwiftAI algorithm automatically detects mining boundaries and over-mining areas, calculates actual mining volume, compares it with declared data, and generates traceable audit reports.

4. Digital Twin Supervision Layer: A mine digital twin is built based on Swift4D modeling results to realize dynamic reserve monitoring and over-mining early warning, providing visual support for supervision and decision-making.


Application Scenarios & Client Value

Core Application Scenarios

1. Dynamic Reserve MonitoringCollect 3D data regularly to accurately detect volumetric changes in ore bodies and tailings ponds, and update reserve data dynamically.

2. Mining Compliance AuditingCompare planned and actual mining scopes, detect over-mining and cross-border mining, and quantify illegal mining volume.

3. Production Output AuditingCalculate actual output based on volumetric data and compare with declared data to ensure real and traceable production data.

Core Client Value

1. Precision DetectionSwift4D's centimeter-level modeling solves precision deviation in traditional measurement, ensuring data accuracy.

2. Efficient OperationY-1 UAV collection + Swift4D rapid modeling shortens mine volume detection cycle from months to days, reducing costs.

3. Data-driven AuditingForm a full-process traceable audit data chain, avoiding subjective manual deviation and ensuring objective auditing.