Data Integration & Interoperability
CSV • KML • GeoJSON • GeoTIFF
Structured thermal inspection data exports for seamless integration with GIS, CMMS, and asset management systems
Sample Data Files
Download sample thermal inspection data exports to evaluate format compatibility with your systems:
Sample CSV Export
Tabular data with coordinates, temperatures, anomaly classifications, and metadata
trailer_id, lat, lon, dt_local, dt_utc, ambient_C, dT_env_F, anomaly_type, dT_norm_C, class, standoff_m, RTK_fix_pct
Sample KML Export
Map overlay with class-colored pins (C0-C3) and ExtendedData tags for Google Earth, QGIS, ArcGIS
Sample GeoJSON
Modern format for web mapping applications, JavaScript libraries (Leaflet, Mapbox), and GIS tools
Preferred by IT teams for web apps and API integration
CSV Format Specifications
Coordinate Systems
- WGS84: EPSG:4326 (lat/lon in decimal degrees)
- UTM 14N: EPSG:32614 (South Plains regional)
Timestamps
- Local Time: CST/CDT with ISO 8601 format
- UTC: Zulu time for audit trails and sync
Data Fields
trailer_id, lat, lon, dt_local, dt_utc, ambient_C, dT_env_F, anomaly_type, dT_norm_C, class, standoff_m, RTK_fix_pct, image_thermal_id, image_rgb_id, notes
Integration Use Cases
- ▸Import into Excel, Power BI, Tableau
- ▸CMMS work order generation (Maximo, SAP)
- ▸Fleet management dashboard integration
- ▸Historical trending and analytics
KML / GeoJSON Specifications
KML Features
- Class-colored pins: C0 blue, C1 amber, C2 red, C3 purple
- ExtendedData: dT_env_F, standoff_m, emissivity, T_refl_C, RTK_fix_pct
- Popups: Rich HTML descriptions with images and metadata
GeoJSON Properties
- Geometry: Point features with WGS84 coordinates
- Properties: All thermal metadata as JSON properties
- FeatureCollection: Standard GeoJSON structure
Compatible Applications
- ▸Google Earth, QGIS, ArcGIS Desktop/Pro
- ▸Leaflet, Mapbox, OpenLayers web maps
- ▸CMMS map plugins and dashboards
- ▸Custom web applications and APIs
Note: ESRI FileGDB and shapefile exports available upon request for enterprise GIS workflows.
Integration Workflows
Common integration patterns for West Texas logistics and maintenance operations:
CMMS Integration
- 1. Import CSV into maintenance management system
- 2. Auto-generate work orders for C2/C3 anomalies
- 3. Assign GPS coordinates to work order location
- 4. Track repair completion and cost
- 5. Compare next inspection for defect progression
GIS Visualization
- 1. Open KML in Google Earth or QGIS
- 2. Overlay thermal pins on aerial imagery
- 3. Filter by anomaly class for prioritization
- 4. Measure distances and spatial patterns
- 5. Export maps for stakeholder reports
Custom Dashboard
- 1. Parse GeoJSON with JavaScript (Leaflet/Mapbox)
- 2. Display real-time fleet thermal health status
- 3. Calculate fleet-wide metrics and KPIs
- 4. Trigger alerts for new C2/C3 anomalies
- 5. Historical trending charts and analytics
Executive Reporting
- 1. Import CSV into Excel or Power BI
- 2. Pivot tables for fleet-wide statistics
- 3. Charts showing anomaly trends over time
- 4. Cost analysis for repair prioritization
- 5. Board-ready thermal health dashboards
RTK GPS Positioning Accuracy
All thermal anomaly locations are tagged with GPS coordinates during flight. Positioning accuracy depends on RTK network availability:
RTK Coverage Available
- Horizontal Accuracy: 2cm (0.8 inches)
- Vertical Accuracy: 3cm (1.2 inches)
- RTK Fix Percentage: Reported in CSV metadata
- Coverage: Most Lubbock/Amarillo metro areas
Standard GPS Only
- Horizontal Accuracy: 1-3 meters
- Vertical Accuracy: 3-5 meters
- Coverage: Many rural grain elevator/feedlot sites
- Note: Still adequate for trailer/facility identification
RTK fix percentage is included in every CSV row so you can filter data by positioning quality for applications requiring high precision.
Services Providing Data Exports
These thermal inspection services include standardized CSV/KML/GeoJSON exports: