Title :
A computer vision early-warning ice detection system for the Smart Grid
Author :
Wachal, Randy ; Stoezel, Jean-Sebastien ; Peckover, Monty ; Godkin, Daryl
Abstract :
A state of the art early ice warning system has been developed and implemented for the Manitoba Hydro Ice Storm Management Program. The vision based ice detection system measures ice accumulation using digital images directly from the overhead line conductors. The ice detection system provides early warning ice alarms, ice accumulation rate information and accurate visual information of ice profiles to the appropriate staff using the corporate WAN infrastructure. Additional research has been undertaken in the development of an algorithm to aid in the detection of hoar frost transformation to ice. Hoar frost on the transmission conductors presents little risk, however under certain conditions hoar frost can transform into ice very quickly, creating a serious condition. New digital image recognition methods are under development and are presented in this paper. It is envisioned that these methods can predict the rate of change of the transformation of hoar frost into ice and thus provide an early warning indication.
Keywords :
alarm systems; computer vision; image recognition; overhead line conductors; smart power grids; wide area networks; Manitoba hydro ice storm management program; WAN infrastructure; computer vision early-warning ice detection system; digital image recognition methods; hoar frost transformation; ice accumulation rate information; overhead line conductors; smart grid; transmission conductors; visual information; Cameras; Ice; Machine vision; Monitoring; Servers; Storms; Hoar frost; Ice Detection; Real time data collection; Smart Grid; Vision Based Monitoring System; Weather monitoring;
Conference_Titel :
Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-1934-8
Electronic_ISBN :
2160-8555
DOI :
10.1109/TDC.2012.6281621