Automated detection of vegetation in proximity to distribution electric network

Tree contact with distribution lines is a leading cause of electric power outages for utilities in North America. Nova Scotia Power Inc. (NSPI) operates over 26,000 km of distribution lines. NSPI subscribes to a condition based asset management approach to mitigating vegetation that has the potential to threaten reliability of the distribution network. Currently, understanding the condition of the system in the context of vegetation proximity to conductor is an ocular exercise that is subjective in nature and lacks conformity. The key question intended to be addressed is how technology can optimize the collection of information regarding the location of utility structures and vegetation condition through remote sensing technology. To address this need, we will look at advancements in remote sensing technology to see if sensors available using photogrammetry and/or LiDAR can be rapidly deployed on utility fleet vehicles to aid in deriving asset condition.

Faculty Supervisor:

Tim Webster

Student:

Partner:

Nova Scotia Power

Discipline:

Physics

Sector:

Utilities

University:

Nova Scotia Community College

Program: