The powerline asset management industry has seen a significant increase in the use of unmanned aerial systems (UAS) in recent years. Advancements in sensor technologies have allowed for more widespread usage of UAS platforms for remote sensing applications, allowing powerline companies to obtain more information regarding the current state of various powerline assets (conductor, structures, hardware, right-of-way, etc.) to better assess the health and condition of a power grid network. The availability of commercially available UAS platforms, which offer a wide range of coverage for various types of sensor deployment capabilities, further promotes the use of UAS to assist in the asset monitoring task through its ease of accessibility. This report presents several new and emerging technologies relating to onboard payload sensors, data processing methods, and UAS operations that have been developed by academia or industry efforts to further enable the deployment of UAS for powerline asset management activities. Finally, suggestions on further developments and steps required to enable beyond visual line of sight (BVLOS) UAS operations, as well as closing remarks regarding the future direction of UAS deployment for powerline asset management activities are provided.
Unmanned Aerial Systems, Powerline Asset Management, Artificial Intelligence, Technology Review, Beyond Visual Line of Sight