Atrobot

Solar Solutions & Spatial Capabilities

Solar array inspection and how the spatial record is delivered

DGPS surveys and drone-based aerial mapping collect the record. Processing produces maps, contours and measurements, then a GIS dashboard and a stored report. Drone capture is one survey method.

The delivered record can include an orthophoto, DSM and DTM contours, a point cloud and a report kept in cloud storage.

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Step by step

How an array inspection is read

Illustrative sequence. Figures inside each clip are sample interface text, not a measured result.

  1. 01

    Grid flight over the solar farm

    RGB survey of every block, row and module on a planned grid flight. Plant capacity and module counts shown are sample interface text.

  2. 02

    Thermal fault detection

    AI classifies hotspots, diode failures, soiling, cracks and offline strings on the radiometric thermal view. Delta-T values are sample interface text.

  3. 03

    Every fault geotagged

    Faults are pinned on the plant layout by block, row and module ID so O&M crews can find them. Module IDs are sample interface text.

  4. 04

    Locate / repair report

    Closing step packages geotagged findings into a crew-ready report for repair follow-up. Any repair metrics on screen are sample interface text.

Solar & Spatial Intelligence Flowchart

From grid flight capture to crew-ready solar O&M and GIS records

How Atrobot connects automated aerial capture, radiometric thermal AI and cloud GIS validation into measurable plant performance.

  1. Step 01 · Capture

    Autonomous Grid Flight & DGPS Control

    RTK/DGPS-referenced RGB and radiometric thermal flights cover every inverter block, tracker row and module string alongside ground survey control.

    RGB + ThermalDGPS GCPFlight QA
    AI Layer · Alignment

    Orthomosaic & Thermal Co-Registration

    Pixel-accurate alignment of high-resolution RGB orthophotos, DSM/DTM elevation models and calibrated temperature layers across the plant.

    GeoTIFFDSM / DTMLAS / LAZ
    Impact · Baselines

    100% Plant Digital Twin & As-Built CAD

    Complete georeferenced plant layout with verified string boundaries, drainage slope contours and cloud-archived baseline records.

    Zero Blind SpotsCloud GIS Record
  2. Step 02 · Inspect

    Radiometric Thermal & Anomaly Scan

    Frame-by-frame radiometric inspection across solar arrays to isolate cell hotspots, bypass diode failures, soiling, delamination and offline strings.

    Delta-T AnalysisString ScanIEC Standards
    AI Layer · Classification

    Automated Defect & Severity Grading

    Computer-vision models classify thermal anomalies by root cause and temperature delta, filtering false reflections and pinning exact module IDs.

    Hotspot AIDiode / StringModule Pinning
    Impact · Yield Recovery

    Targeted O&M Dispatch & MWh Recovery

    Field technicians receive block, row and module coordinates on mobile/web GIS—cutting diagnostic walk-time and preventing string downtime.

    Fast Crew DispatchPreventive O&M
  3. Step 03 · Deliver

    Multi-Epoch Verification & Reporting

    Repeat inspection flights and land/corridor surveys track repair completion, vegetation shading and earthwork drainage across seasons.

    Change DetectionQA AuditCloud Archive
    AI Layer · Analytics

    Interactive Web GIS & Executive Reports

    Browser-based 2D/3D visualisation workspace links every fault ticket, contour sheet, volumetric check and historical inspection log.

    Web DashboardPDF / CSV / SHPAudit Trail
    Impact · Asset Lifecycle

    Protected Plant Availability & Compliance

    Permanent, auditable spatial record supporting warranty claims, commissioning sign-off and portfolio-wide asset management.

    Warranty ProofPortfolio Analytics

Workflow

Collect, process, check, deliver

  1. CollectDGPS and aerial mapping
  2. ProcessMaps, contours and clouds
  3. CheckImage and data checks
  4. DeliverReport and cloud storage

The outcome is the spatial record: maps, contours, point clouds, measurements and a report kept in cloud storage. Figures inside the step clips are sample interface text.

  1. Collect

    DGPS surveys and drone-based aerial mapping, including flight planning as part of data collection. Collection includes image quality verification.

  2. Process

    Orthomosaic and 3D map generation, DSM and DTM contour mapping, and aerial image processing. Geospatial Visualisation & Analytics processes LAS and LAZ.

  3. Check

    Image quality verification during collection, and data-validation workflows in the visualisation software.

  4. Deliver

    Orthophoto maps, DSM and DTM contours, 3D maps, point clouds, measurements, route maps, and report generation and cloud storage.

Deliverables

  • Orthophoto maps, orthomosaics and 3D maps
  • DSM and DTM contours
  • Point clouds and a digital twin from airborne LiDAR
  • Volume, slope, area, bench height, cross-sections and haul-road measurements
  • Route maps, DPR preparation, bridge and building analysis, and BIM modelling
  • Digitized land records and planning layers
  • Report generation and cloud storage

Software that holds the record

Geospatial Visualisation & Analytics

2D and 3D viewing in the browser, including orthophoto viewing, volume and area, slope and terrain, and cross-sections.

View

Big Data Management

A cloud system for operational, GIS and infrastructure data, including data collected by drone survey.

View

FAQ

Frequently asked questions

DGPS surveys and drone-based aerial mapping. Drone capture is one survey method.

Orthophoto maps, orthomosaics, 3D maps, and DSM and DTM contours.

Next step

Request a Consultation

The enquiry goes to business@atrobot.in. You can also call +91-9319044881.

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