📦 Resource
pdf
PPK Workflow SOP for Underground Mine Survey Teams
A PPK (Post-Processed Kinematic) Workflow SOP for Underground Mine Survey Teams is a standardized, step-by-step operational procedure that governs the acquisition, synchronization, and post-processing of GNSS/IMU data from drone-based or mobile mapping platforms in GPS-denied underground mine environments—leveraging precisely timed base station observations to achieve centimeter-level positioning accuracy after field data collection. It integrates survey-grade control, time-synchronized sensor logging, and rigorous QA/QC protocols tailored to confined, reflective, and magnetically noisy subsurface conditions.
📖 Overview
PPK workflows in underground mines address the fundamental challenge of achieving high-accuracy geospatial data without real-time GNSS signal availability. Unlike RTK (Real-Time Kinematic), which requires continuous radio or cellular telemetry—a practical impossibility in deep, shielded mine tunnels—PPK records raw GNSS observables (L1/L2 pseudorange and carrier-phase) and precise timestamps on both the rover (e.g., drone-mounted GNSS/IMU unit) and a stationary base station located at a known surface or near-portal benchmark. After data collection, the rover’s raw logs are synchronized with the base station’s concurrent logs using precise time stamps (typically PPS-synced to UTC via GPS-disciplined oscillators) and processed offline using specialized software (e.g., NovAtel Inertial Explorer, Emlid Studio, or Pix4Dmapper with PPK support) to resolve integer ambiguities and compute centimeter-accurate trajectory solutions. Critical to underground application is the integration of inertial navigation aiding: when GNSS signals drop out entirely (e.g., beyond portal or in steel-lined drifts), the IMU provides dead-reckoning continuity, and tightly coupled PPK+INS processing fuses GNSS updates with IMU dynamics to constrain drift and maintain positional integrity. The SOP mandates strict procedures for base station siting (minimizing multipath, ensuring line-of-sight to sky pre-deployment), rover calibration (lever-arm offsets, boresight angles), time synchronization verification, metadata tagging (survey control IDs, tunnel names, shift logs), and traceable uncertainty reporting per ISO 17123-8 and AS/NZS 4495 standards.
📑 Key Components
1
Time-Synchronized Dual-Frequency GNSS Receivers
2
Calibrated IMU and Lever-Arm Offset Documentation
3
Survey-Grade Static Base Station with Known Control Coordinates
🎯 Applications
- ✓ High-Accuracy 3D Tunnel Deformation Monitoring
- ✓ Drone-Based Stockpile Volume Calculations in Declines and Haulage Ways
- ✓ As-Built Validation of Development Drifts Against Design Models
📐 Key Formulas
Position Residual RMS
RMS = √[Σ(ρ_i − ρ̂_i)² / n]
Quantifies the root-mean-square difference between observed pseudoranges (ρ_i) and modeled pseudoranges (ρ̂_i) across all tracked satellites and epochs; used in PPK solution quality assessment.
Baseline Vector Accuracy Estimate
σ_b = √(σ_base² + σ_rover² + σ_correlation²)
Estimates total baseline uncertainty incorporating base station coordinate error (σ_base), rover measurement noise (σ_rover), and spatial correlation of atmospheric errors (σ_correlation), critical for underground control network propagation.
🔗 Related Concepts
RTK vs PPK Trade-offs
Tightly Coupled GNSS/INS Integration
Underground Control Network Design
#underground mining
#drone surveying
#PPK
#geospatial accuracy
#mine safety