Sponsored: Exyn targets safer underground scans

Key Concepts

• Autonomous Cavity Monitoring (ACM): The use of self-navigating aerial drones to map underground mine voids without human intervention.
• GPS-Denied Environments: Areas (like underground mines) where standard satellite-based navigation is unavailable, requiring advanced SLAM (Simultaneous Localization and Mapping) technology.
• Untethered Autonomy: The ability of a drone to operate beyond visual line of sight (BVLOS) and without a continuous communication link to the operator.
• CMS (Cavity Monitoring System): Traditional, manual surveying equipment (often boom-mounted) used to measure the volume of stopes.
• Point Cloud Data: A set of data points in space representing a 3D shape or object, used for high-accuracy mine modeling.

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1. Drivers for Adopting Autonomous Surveying

Douglas Mink identifies three primary drivers for the transition from traditional CMS to autonomous aerial systems:

• Safety (Primary Driver): Autonomous systems allow surveyors to remain in "supported ground" (safe zones) while the drone enters hazardous or unstable areas.
• Efficiency: Traditional boom-mounted systems require 1–2 hours for setup and operation. Autonomous drones can complete a mission and provide necessary data in approximately 5 minutes.
• Data Quality: Because Exyn’s systems utilize a gimbaled sensor array that rotates 360 degrees, they produce denser, more accurate point cloud data compared to static or limited-range traditional scanners.

2. Operational Impact and ROI

The shift to autonomous systems changes day-to-day operations by:

• Reducing Labor Requirements: A single operator can manage the flight, data collection, and post-processing, freeing up other surveyors for higher-value tasks.
• Eliminating Redundancy: Traditional methods often require multiple scans from different drifts to fill "shadows" or gaps in data. Autonomous drones can navigate complex geometries to capture a complete scan in one mission.
• ROI Calculation: While the upfront capital expenditure (CAPEX) is higher than traditional tools, the return on investment is realized through significant savings in man-hours and increased operational uptime. Exyn provides white papers to help mines quantify these savings.

3. Technological Differentiation: The "Untethered" Advantage

A critical differentiator for Exyn Technologies is their fully untethered approach.

• The Limitation of Competitors: Many competing systems are programmed to return to "home" the moment they lose communication or connectivity.
• Exyn’s Methodology: The drone is given a bounding box or volume to explore. It operates autonomously beyond visual line of sight (BVLOS) without needing a constant link to the operator. This allows for the exploration of larger, more complex volumes in a single mission rather than requiring multiple waypoint-based flights.

4. Challenges to Scaling

• Upfront Costs: The primary barrier to adoption is the initial CAPEX.
• Mitigation Strategies: To address budget constraints, Exyn offers subscription-based models and financial frameworks to help mines integrate the technology without prohibitive initial outlays.
• Organizational Readiness: Scaling requires a shift in how mines manage data and workflows, moving from manual, reactive surveying to integrated digital mine strategies.

5. Future Outlook: The Autonomous Ecosystem

Mink envisions a rapid evolution toward a fully autonomous mining environment over the next 3–5 years:

• Integration: Autonomous mapping will move from a specialized tool to a core component of the broader digital mine ecosystem, alongside autonomous vehicles from companies like Sandvik and Epiroc.
• Remote Operations: The ultimate goal is a "fully remote actuated" mine where human presence is restricted only to maintenance and emergency repairs, effectively removing personnel from hazardous underground environments.

Synthesis

The transition to autonomous cavity monitoring is driven by the necessity to improve safety and operational efficiency in underground mining. By moving away from manual, time-intensive CMS methods toward untethered, autonomous aerial systems, mines can achieve higher data accuracy and significant labor cost reductions. While initial costs remain a hurdle, the industry is trending toward a fully digitized, autonomous ecosystem where human exposure to hazardous underground conditions is minimized through advanced robotics and remote operation.