Markets & Solutions

Industry Solutions

Tailored solutions for Energy, Agriculture and Defense sectors

Power plant monitoring

Energy & Infrastructure Solutions

Integrated decision support for utilities balancing rising power demand, wildfire and extreme weather risk, and aging infrastructure - from generation to transmission and distribution.

Power Grid  - Resilience & Reliability visualization

Power Grid - Resilience & Reliability

  • Transition from reactive posture to proactive intervention across the full event lifecycle
  • Integrated planning combining generation, transmission, distribution, and resource planning
  • Resilience planning toolkit for increasing frequency and severity of extreme climate events

Geospatial Mapping & Tracking

GIS technology for utility asset management across vast regions - digital representation of power system layout to enhance asset tracking, operational oversight, and renewable energy integration

Situational Awareness & Forecasting

Monitor environmental, weather and grid awareness using physics and AI/ML modeling to assess ignition likelihood and quantify fire spread from T&D lines in near-real time

Wildfire Detection

ForestWatch wide-area geo-referenced surveillance cameras with 24/7 AI-driven smoke detection, satellite integration, and calibrated fire spread models as time-series records

Grid Health Monitoring

ATI sensors and DTM devices providing real-time voltage, current, harmonics, anomalous flow data - downed conductor location and load monitoring without taking the grid down

Vegetation Management

Integrated approach incorporating tree decay, growth and health monitoring with predictive models for precision vegetation management at hyperlocal level

Network Operations & Planning

GIS and AI-enabled scenario analysis for expansion and upgrades, PSPS optimization, and power flow analysis incorporating extreme weather risk for proactive management

Emergency Response

Real-time intelligence integration with fire agencies, police and emergency services - optimal field crew deployment with route identification and crew assignments for service restoration

Power Generation & Demand

Nuclear monitoring

Nuclear

Full lifecycle from mining site characterization, water availability, flood risk and thermal discharge assessment, to geotechnical and seismic risk factors, and reactor unit process monitoring across operational and security domains

Hydropower monitoring

Hydropower

Improving operations, planning and environmental management across multiple scales

Solar monitoring

Solar

Remote sensing and NWP for improved energy forecast accuracy and performance monitoring

Oil & Gas monitoring

Oil & Gas

Infrastructure and asset management, offshore monitoring and vessel tracking

Data Centers & Demand Mapping visualization

Data Centers & Demand Mapping

  • Large data centers consume up to 5 million gallons of water per day, with AI-focused centers increasing consumption alongside energy usage
  • Water footprint spans on-site usage, power plant supply, and processor chip manufacturing - from surface water, groundwater, piped, and reclaimed sources
  • Remote and in-situ multi-source sensing to assess water resources, thermal discharge, land availability and proximity to robust grid access
  • Satellite thermal intelligence revealing heat signatures across rooftop cooling units, transformers and substations to describe operational activity
Infrastructure & Geotechnical Engineering visualization

Infrastructure & Geotechnical Engineering

  • AI-enabled IoT remote and real-time sensing for cost-effective, non-destructive, wide-area infrastructure lifecycle monitoring
  • Pre-hazard network-level risk assessment of transportation infrastructure for floods, storms, hurricanes, earthquakes, and wildfires
  • Real-time detection of surface damage and structural deformations at sub-millimeter movement precision across all surface transportation modes
  • Post-hazard inspection and evaluation for bridges, culverts, tunnels, sign structures providing quantitative data for planning and management

Condition Assessment

AI and high-resolution imagery identifying pavement surface deterioration including cracks, potholes, and wear patterns

Structural Health Monitoring

Monitoring bridges, tunnels, and retaining walls for cracks, vibrations, and deformation with continuous sensor data

Geotechnical Risk Analysis

Detecting soil erosion, landslips, and subsidence along highway corridors using InSAR, soil moisture, and environmental sensing

Construction Progress

Tracking earthworks, material strength, and project timelines especially in challenging terrain using satellite and airborne monitoring

From Big Data to Decision-Ready Asset Intelligence

Predictive Maintenance

Predictive Maintenance uses physics-informed AI for real-time damage detection, failure prediction and maintenance planning across composite structures and rotating equipment.

Use-Case-Driven SHM

  • Smart Data

    Transforms complex and incomplete datasets into information engineers can use.

  • Physics and AI Combined

    Links adaptive learning with scientific damage-propagation models rather than relying on data alone.

  • Critical-Asset Focus

    Targets composite structures and rotating equipment where failure has major operational consequences.

  • Cross-Sector Applications

    Supports aerospace, space, energy and other infrastructure-intensive industries.

Market Opportunity

Market estimates cited in the 2022 executive summary

$15.9B

Predictive Maintenance Market

Forecast for 2026

$4.34B

Structural Health Monitoring Market

Forecast for 2025

Energy projected to lead market share; aerospace expected to show the fastest rise

Tailored structural intelligence for safer assets and better maintenance decisions

Market figures are historical forecasts quoted in the 2022 source document

Visual Inspection, Vibration Analysis and Plant Data

Power Plant Condition Monitoring

Power Plant Condition Monitoring combines rust and surface-defect screening with rotating-assembly vibration analysis and a proposed SCADA-based tool that brings sensor data, trends and inspection findings together.

An Integrated Monitoring Approach
  • Rust and Surface Defect Screening

    Use camera images to flag visible rust and surface anomalies for closer inspection.

  • Rotating-Assembly Vibration Analysis

    Together with Viking Analytics, we have experience in vibration analysis for rotating assemblies.

  • Operating-Condition Trend Analysis

    Assess vibration trends against operating load to support equipment condition monitoring.

  • Proposed SCADA-Based Tool

    A monitoring tool could use SCADA technology to bring together sensor data, trends and inspection findings.

Plant Systems and Vibration Data
Cutaway schematic of a thermal power plant showing the boiler, turbine, generator, condenser and cooling tower and the water and steam loops between them
Illustrative thermal power plant systems
Scatter chart of RMS vibration in millimetres per second against average power in megawatts for Rosa Power Plant centrifugal fan 4A, with a polynomial trend line rising at higher load
Rosa Power Plant, centrifugal fan 4A — RMS vibration against average power

Blue: RMS vibration | Orange: polynomial trend

Supporting maintenance decisions through visual and sensor-based evidence

Proposed integration tailored to available sensors, operating data and maintenance objectives

Nuclear Plant Maintenance Application Concept

Pipe Defect Screening for Power Plants

Pipe Defect Screening analyses camera images to flag visible rust and suspected corrosion on exposed pipe surfaces, as a first step that tells inspectors where to look more closely.

Initial Visual Screening
  • Camera-Based Rust Detection

    Analyze camera images to flag visible rust and suspected corrosion on exposed pipe surfaces.

  • Defect Highlighting

    Mark suspected areas on the original image to help inspectors locate and review surface anomalies.

  • Experience Through Collaboration

    VegaMX has worked with a partner company capable of detecting surface defects from camera images.

  • Targeted Follow-Up Inspection

    Use preliminary findings to prioritize closer inspection and confirm defect type, extent and severity.

Rust Detection Example
Side-by-side pipe photographs: the original camera image, and the same image with green overlays marking suspected corrosion at the joints and elbow
Original camera image beside highlighted indications — green overlays mark suspected corrosion areas

A first screening step — limited precision; findings require inspector review.

Identify visible warning signs and focus detailed inspection where needed

Visual screening does not determine crack depth or remaining pipe-wall thickness