Service
Storm Resilience & Impact Modelling
Identify network vulnerabilities and simulate corridor exposure before severe weather strikes.
NM Group combines high-density LiDAR, engineering analysis, PLS-CADD modelling, and advanced predictive analytics to assess storm-related risks across transmission and distribution networks, helping utilities prioritise grid-hardening investments before extreme weather events occur.
FAQs
Analysis can include mechanical wind loading, snow and ice loading, conductor clash risk, vegetation-related outage risk, flooding exposure, and asset vulnerability assessment.
Yes. Vegetation analytics can be combined with weather exposure models and historic tree-fall patterns to identify vegetation more likely to contribute to storm-related outages.
Assessment results help utilities plan reinforcement, asset replacement, vegetation management, and other grid-hardening activities based directly on identified structural and environmental vulnerabilities.
From Survey Data to Storm Resilience Intelligence
NM Group combines LiDAR, engineering analysis, PLS-CADD modelling and advanced geospatial analytics to assess how assets, conductors and vegetation may respond to severe weather events.
By integrating network models with environmental and vegetation data, utilities gain the insight needed to understand vulnerabilities, prioritise intervention activities and support long-term resilience planning.
Supporting proactive resilience strategies
Storm Resilience Assessment provides utilities with engineering-led analysis that supports informed decision-making before severe weather events occur.
By understanding how assets, conductors and vegetation may respond to extreme weather conditions, utilities can focus resources where they will have the greatest impact on network resilience.
Talk to Our Team
Ready to identify your network's structural and environmental vulnerabilities?
Our specialists combine utility engineering with advanced geospatial modelling to help you fortify your infrastructure against extreme weather.
