Powerline Inspection Software for Reliable Grid Performance
Gridnostic - Grid Reliability Through Image Intelligence
Gridnostic is OFIL’s smart powerline inspection software, Built to turn RGB, thermal and UV (corona discharge) inspection images into clear, actionable insights. It helps electric utilities detect faults earlier, track asset condition, and plan maintenance with higher accuracy. The result is better reliability, stronger safety, and more efficient operations across transmission and distribution networks.
Gridnostic - Powerline Inspection Software - Key Features
Diagnostics Capabilities
Our platform converts complex imagery data into clear numeric severity scores, delivering actionable insights for efficient asset health management.
Multi-Sensor Integration
Leverage multi-sensor technology including UV, RGB and Thermal to enhance analysis capabilities.
GIS-Enhanced Platform
Integrates all inspection data within a geospatial context, offering a strategic, map-based overview of grid health. Supports drone imagery and orthomosaics alongside helicopter, fixed-wing, and ground inspection data.
Simplifying Complexity – AI Enabled
Transform complex data into clear, actionable insights with AI models enhancing data interpretation.
Asset-Based Data Management & Reporting
Efficiently manage historical data and enhance communication with sharing and reporting capabilities
Expert Advice & Diagnostics
Backed by years of industry knowledge, receive expert advice and diagnostics to solve problems faster.
Developed Based on Research and Guidelines from the Electric Power Research Institute
Severity Diagnostic Tool
Evaluate images and videos captured by RGB cameras, as well as specialized thermal and UV sensors, using a dynamic, interactive evaluation interface that guides the determination of numerical severity scores.
Reduces subjective interpretation, translating qualitative assessments into quantitative severity scores.
Contextual Integration: Adjusts severity scores based on geographical and infrastructural parameters, aligning diagnostics with real-world impact considerations.
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