Protecting electrical lines, power plants and other utility assets from unwanted vegetation is a matter of public safety: falling branches and overgrown brush can lead to outages, wildfires and elevated risk for people and for property.
IBM Environmental Intelligence Suite helps your decision-making by combining satellite data and Geiger-mode LiDAR predictive analytics with weather data to deliver AI-driven insights about vegetation growth. This cost-effective solution is built on a platform that processes massive, complex geospatial and time-based data sets, applies AI and analytics to calculate and score the impact of vegetation, and helps identify high-risk circuits or corridors that will benefit most from tree trimming or maintenance operations.
The Environmental Intelligence Suite helps managers better understand the current state of vegetation across a territory by showing summaries of vegetation encroachment in defined buffer zones around assets and displaying the average and maximum tree heights within a given area. The tool scales automatically, assessing vegetation growth across hundreds of miles of power lines and allowing work to be prioritized by corridors, segments and zones.
Satellite and LiDAR data is used to evaluate spans of vegetation according to various metrics and KPIs, such as distance to a power conductor or amount of encroachment into a buffer zone, and scores are assigned to help identify and focus trimming efforts. Users can combine these insights with other layers of information to design custom dashboards, alerts and decision-making metrics, and export data as needed.
The tool provides insights on tree species that includes identification of hazard trees that present a fall risk, and predicts areas where tree trimming might protect transmission lines and other assets. With dashboard views and alerts, managers can optimize preventative maintenance and rapid response, reducing the need for costly manual inspections.
IBM Vegetation Management leverages artificial intelligence, satellite imaging and LiDAR data, including geiger-mode data and linear LiDAR to assess and monitor vegetation and improve work prioritization.
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The IBM Vegetation Management – Predict solution enables the utility company to reduce the number and severity of vegetation-related outages.
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