Drone and thermal imaging monitoring a mining leach pad from above, detecting abnormal water accumulation, irrigation issues, runoff, and potential ground instability while an operator reviews visual evidence.
心を動かす会話

Leach Pad Integrity, Seen from Above

Turning drone and thermal imagery into early warning for irrigation failures, water accumulation, runoff, and ground instability.
会議のスケジューリング
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By the time ground damage is obvious, the precursor may have been developing for days.
WHY THIS "LEACH-PAD INTEGRITY" CHALLENGE?
Pooling, runoff, and irrigation-line disconnections can remain unnoticed until deformation affects roads, conveyors, mineral inventory, or production continuity. Wide-area aerial visibility helps teams find abnormal water behavior earlier and direct field validation where exposure is highest.
主なメリット
Find the water pattern before it becomes a ground problem

Drone and thermal imagery give operations a wider field of view turning subtle surface conditions into prioritized evidence.

チェックアイコン
Catch the precursor, not just the consequence

Detect water-related conditions before serious instability develops.

チェックアイコン
Cover terrain crews cannot continuously walk

Inspect large and difficult-to-access areas from above.

チェックアイコン
See irrigation behavior as a system

Identify pooling, runoff, disconnections, and uneven distribution.

チェックアイコン
Know where, what, and when

Trace findings by pile, area, anomaly type, and inspection cycle.

NTTデータのサポート体制は？

01
Design the observation strategy

Define flight plans, imagery requirements, frequency, and priority areas.

Mining specialists planning a drone inspection strategy for a leach pad, defining flight paths, imagery coverage, inspection frequency, and priority monitoring areas before aerial deployment.
02
Read water and terrain together

Use segmentation to detect accumulation, runoff, affected terrain, and irrigation infrastructure.

Mining specialists reviewing drone imagery of a leach pad as Physical AI identifies water accumulation, runoff paths, affected terrain, and irrigation infrastructure across the site.
03
Surface distribution problems earlier

Recognize possible disconnections and areas with nonuniform water behavior.

Mining specialist inspecting irrigation infrastructure at a leach pad, reviewing a potential water leak or pipeline disconnection while monitoring conditions across the surrounding site.
04
Organize evidence around operations

Structure findings by pile and operational area in a monitoring platform.

Mining operations specialist reviewing aerial monitoring data organized by individual leach-pad piles and operational areas, with visual findings and status indicators displayed in a centralized monitoring platform
05
Improve with every field check

We don’t treat AI findings as final truth. Field validation confirms observations and strengthens model performance over time.

Mining specialists validating an AI-detected condition directly in the field, comparing aerial observations with the physical site and recording the confirmed evidence for future analysis.
Mining specialists overlooking a large leach-pad operation while a drone surveys the site, combining wide-area aerial monitoring with human field review to identify potential issues before they affect operations.
実証済みの効果
See wider. Validate earlier. Protect continuity.
重要な結果
Earlier aerial evidence helps operations act before water-related conditions escalate.
チェックアイコン
Flag critical precursors sooner

Early warning for pooling, runoff, and disconnections.

チェックアイコン
Extend inspection reach

Wide-area coverage without relying only on walking inspections.

チェックアイコン
Improve irrigation visibility

Better view of distribution across affected areas.

チェックアイコン
Protect exposed infrastructure

Reduce water-related risk to roads, conveyors, and production zones.

Find the warning signs before they reach ground level.

Protect leach-pad integrity with earlier, wider visibility.

話しましょう
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Mining engineers transforming an approved autonomous operating model into production-ready engineering packages covering AI agents, data, integrations, authority, cybersecurity, testing, and commissioning.
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Turning an approved autonomous operating model into buildable, testable, cybersecure engineering packages for agents, data, integrations, authority, and commissioning.
Integrated mining operations center using Physical AI to connect mine, plant, maintenance, logistics, energy, water, and safety operations while specialized AI agents coordinate recommendations under human supervision.
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Mining safety professionals reviewing camera evidence while an operational vehicle and ore train interact at an active mine rail crossing monitored by computer vision.
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Motion analytics monitoring a suspended industrial load during a lifting operation at a mining site, tracking speed, oscillation, amplitude, and trajectory while an operator supervises the operation.
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Using motion analytics to detect abnormal speed and oscillation in suspended loads before lifting risk escalates.
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