Vegetation-encroached poles and lines are slow and expensive to inspect. Furthermore, it can be difficult to compile your asset data into a single, standardized database.
Analysts can use high-resolution remote sensing to capture holistic and precise vegetative data more accurately than via a visual inspection. They can then upload the data into PrecisionAnalytics, which applies machine vision to identify current problems and predict potential issues based on species growth patterns.
We’ve worked with America’s largest utilities to accelerate, automate, and amplify their vegetation inspection processes:
Define structure shot sheets, species, and encroachment rules. Determine the information you need to plan your vegetation inspection.
Capture RGB, NDVI and/or LiDAR data using a range of platforms. Operators not only gain precise vegetation data with rich LiDAR point-clouds, but can also deliver proof of inspection, and use preliminary data to change their data collection approach as needed to better meet the project objectives.
QC data, georectify imagery, classify vegetation and produce right of way point cloud models. Precisely locate your electrical assets in a map and navigate image sets using intuitive markers, color-coded for damage severity.
Identify and quantify vegetation encroachment. View an encroachment map overlaid on a street map, or in a 3D point cloud model, to evaluate species and growth patterns. Predictive analytics pinpoints potential issues.
Generate reports identifying areas of concern. Enrich your GIS and asset management databases with powerful data from PrecisionAnalytics using the system’s secure API architecture.
Prioritize O&M response and track progress using PrecisionAnalytics.
Identify dangerous vegetation issues with the geospatial technology solution that’s used by the leading electric utilities in the U.S.