Heap Imaging & Irrigation Intelligence

Hydraulic visibility for heap leaching piles

Hardware and software to diagnose internal irrigation in leaching piles through segmented measurement, wireless data acquisition, field photovoltaic power, impedance analysis, 2D/3D visualization, critical sections, KPIs and support for more controlled water use in mining.

Critical recovery stageIrrigation enables solution–mineral contact inside the heap; without internal visibility, a central part of the process operates with incomplete information.
Water management in miningMore evidence to manage irrigation and process solutions with operational criteria, avoiding decisions based only on surface signals.
CopperGoldOther leachingWireless dataPV powerWater control
Mining control room with Andes Sigma platform for hydraulic visibility in heap leaching
Wireless · PV · 3DField data acquisition with wireless communication and photovoltaic self-charging.

Critical process

Leaching and water resources are critical variables in mining

In a heap leaching operation, irrigation is not a secondary variable: it is the medium that allows the solution to contact the mineral and support the subsequent dissolution and recovery of valuable metals. At the same time, efficient and controlled use of water resources and process solutions is increasingly relevant for mining. Without enough internal visibility, a critical part of the business operates with incomplete information.

  • Observe how irrigation is distributed within the instrumented coverage.
  • Identify dry zones, over-irrigation, preferential channeling and relevant depth changes.
  • Provide spatial and temporal evidence for irrigation decisions, diagnosis, water control and prioritization of critical sectors.
Heap leaching hydraulic diagnosis

Andes Sigma solution

An integrated measurement, analysis and visualization system

The solution combines field instrumentation, wireless data acquisition, photovoltaic self-charging, segmented depth measurements, impedance analysis and a technical-operational platform to visualize comparative irrigation distribution and its temporal evolution.

H

Instrumented hardware

Bars, sensors, nodes and electronics aimed at collecting information from accessible or strategically defined heap zones.

D

Depth-based data

Segmented measurements to observe contrasts and changes by level, not only aggregated surface signals.

W

Wireless acquisition

Field nodes transmit data without requiring extensive cabling between the heap and the monitoring platform.

PV

Photovoltaic self-charging

Field equipment prepared for operation with solar photovoltaic power and recharge.

H₂O

Controlled water use

More evidence to observe irrigation distribution, avoid blind decisions and support a more controlled water operation.

KPI

Operational indicators

KPIs, alerts and severity to follow critical conditions without relying only on surface visual inspection.

Platform

Heap Imaging & Irrigation Intelligence

A platform that transforms real measurements into spatial visualization, comparative hydraulic diagnosis and operational alerts.

3D visualization of a heap leaching pile
Operational analysis panel

KPIs and severity

Hydraulic condition, risk, critical depth and relevant pattern indicators.

Operational threshold control

Threshold and comparative analysis

Operational configuration to interpret relative low- and high-impedance zones.

What it helps observe

Hydraulic phenomena relevant to operation and engineering

The platform does not reduce the heap to a single absolute moisture value. It provides a comparative, spatial and temporal reading of irrigation within the instrumented coverage.

Deep dry zones

Persistent high relative impedance at lower levels or relevant sectors.

Dry pockets

Localized volumes with low evidence of effective irrigation.

Wet fronts

Spatial evolution of relative low-impedance zones associated with irrigation advance.

Local over-irrigation

Relative wet concentrations that require operational review.

Preferential channeling

Patterns suggesting dominant hydraulic paths.

Time evolution

Comparison of snapshots to understand response to irrigation changes.

Design a measurable pilot

Start with a technically defensible sector, real data, clear hypotheses and a dashboard focused on operational value.

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