

Feiyan transforms mineral extraction planning by integrating survey data from our AIMS Multi-sensor System and Y-1 UAV System to build dynamic geological models. Analyzed within the Swift4D Platform, these models enable accurate resource estimation, optimal open-pit and underground mine design, and efficient haulage planning. We support operational optimization by monitoring extraction progress in near real-time, ensuring plan adherence and maximizing resource recovery.
Built on the Swift4D Platform, our framework integrates dynamic modeling, intelligent planning, and real-time monitoring:
Multi-Source Data Fusion: AIMS (hyperspectral + LiDAR) captures wide-area geology; Y-1 UAVs refine outcrops and pit boundaries, constructing high-precision 3D geological block models.
Swift4D Resource Estimation & Pit Optimization: Automated grade inference using geostatistics, generating resource models and final pit limits for multi-scenario comparison.
SwiftAI Haulage & Scheduling Optimization: Identifies optimal haul road slopes and turning radii, dynamically adjusts extraction sequences, reducing transport costs by 10-15%.
Near Real-Time Progress Monitoring: Weekly UAV surveys generate face point clouds, comparing with design models to automatically calculate over/under-excavation volumes and trigger alerts.
Open-pit & underground resource estimation and pit optimization
Extraction scheduling and haulage network design
Real-time production progress monitoring and compliance auditing

Dynamic waste dump and tailings storage capacity management
Accurate Decisions: Dynamic geological models reduce grade uncertainty, lowering capital risk.
Efficiency Gains: Automated haulage and scheduling shorten monthly planning cycles.
Maximized Recovery: Near real-time monitoring reduces ore loss and dilution, improving resource utilization.
Safe Compliance: Continuous deformation monitoring alerts slope failures, ensuring operational safety.