Manifold Analytics Energy Inspection

Energy Inspection Algorithms

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Asset Detection and Geolocation

This algorithm uses drone metadata and neural network classification to detect and geolocate components at the tops of distribution poles.

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Detailed Component Inspection

This new branch of analysis involves performing specific health analysis of different components at the tops of poles and towers.

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Tower Corrosion

This algorithm uses spectral classification to determine if a transmission tower has significant surface corrosion.

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Line Sag

Line sag is the measurement of the lowest point of each line over the terrain. Manifold can make sag assessments with a single georeferenced image.

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Vegetation Encroachment

This algorithm detects if vegetation has grown inside the right of way of the transmission line corridor.

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Vegetation Health

Vegetation health is assessed by Manifold using airborne or spaceborne imagery to determine if trees represent a fall risk for nearby power lines.

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Line Detection and Counting

This inspection element detects the number of lines on a given pole or tower to assist in accurate accounting.

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Pole Lean

Pole lean inspection uses progressive looks at a distribution pole to determine its lean from plumb.

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Thermal Inspection / Analysis

Components are captured with midwave and longwave imagers to detect hotspots on equipment.

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Ice Accumulation

Thermal and visual analysis are used to determine if powerline contain significant ice accumulation

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Bird Nest Inspection

This algorithm inspects towers and poles for active bird nests to mitigate environmental concerns.

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Woodpecker Hole Detection

Woodpecker hole assessment uses visual imaging of a pole to determine if damage to a wooden pole has occurred.

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Automated Report Generation

PDF reports can be auto generated from results base on analysis.