H
Instrumented hardware
Bars, sensors, nodes and electronics aimed at collecting information from accessible or strategically defined heap zones.
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, vertical tomography-like cuts, 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 controlTomography-like sections
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.
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.
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.
KPIs and severity
Hydraulic condition, risk, critical depth and relevant pattern indicators.
Threshold and comparative analysis
Operational configuration to interpret relative low- and high-impedance zones.
Critical sections
Vertical tomography-like cuts
Beyond 3D and depth maps, the platform can review the internal heap condition in a vertical section. The view can initially focus on the most deficient or problematic irrigation section and then be moved manually to compare other sectors.
- Depth-based reading of irrigation distribution.
- Initial positioning on the detected critical section.
- Manual exploration of cross-sections along the heap.
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.
Vertical tomography-like cuts
Depth review of critical sections, with manual exploration along the heap.
Design a measurable pilot
Start with a technically defensible sector, real data, clear hypotheses and a dashboard focused on operational value.