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Use deep learning for vegetation risk mitigation
Overview
Deep learning models automate image and data analytics and empower water and electric utilities with a proactive system for vegetation management. It also boosts grid reliability by mitigating hazards and accelerating disaster response.
Infosys Utilities creates a data ecosystem to leverage remote sensing, machine learning (ML) and automation for vegetation management. We develop artificial intelligence (AI) systems to assess vegetation growth and detect encroachment based on drone and satellite imagery, 3D Light Detection and Ranging (LiDAR) maps, and Geographic Information System (GIS) data.
Our domain experts use growth rate modeling to forecast vegetation height and canopy cover, based on tree species, soil conditions, and environmental parameters. These insights help utilities make informed decisions to manage invasive trees and bushes.
Our data specialists align ML models with GIS databases and asset maintenance workflows. This ensures interoperability between datasets in heterogeneous formats, scale and schemas. Further, it creates a loop for continuous update of weather, vegetation and asset conditions.
Infosys AI-powered vegetation management solution uses risk scoring to recommend frequency of pruning. Significantly, integration with ERP systems automates work order and resources assignment to prevent vegetation interference.
Infosys capabilities:
Infosys Topaz AI suite minimizes engineering effort to develop plugins and APIs for integrating AI models
Elimination of positional and classification errors in GIS and sensor data ensures accurate ML output
Feature engineering techniques generate ML-ready datasets
Our AI-powered vegetation management solution safeguards transmission and distribution infrastructure ensures crew and public safety, and mitigates environmental risk.
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Mitigate Vegetation Risk with AI-Powered Insights
- Automated systems to maintain minimum vegetation clearance distance (MVCD) prevents flashover, and ensures compliance with local, asset-specific clearance guidelines.
- Heat maps and fire threat maps help identify line clearance conflicts as well as high-risk power circuits, enabling preventive intervention and accelerating disaster recovery.
- Risk-based vegetation trimming schedules ensure efficient maintenance planning and field crew dispatch.
Challenges & Solutions
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