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.

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Resilience Intelligence for Utility Networks

Prepare for severe weather. Strengthen resilience.

When severe weather hits, utilities face the dual threat of structural damage and widespread vegetation-related outages. Our predictive modelling simulates how assets, conductors, and surrounding canopies will perform under extreme environmental stress. By integrating structural engineering models with real-world vegetation data, we help you transition from defensive post-storm recovery to proactive, data-verified network hardening—protecting your infrastructure and maintaining reliable operations.

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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.

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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.

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