Ice coating of transmission line is an innegligible potential threats to the safety of the power grid. The ice coating
on one hand
can increase weight of the line itself and generate dewatering impact load and
on the other hand
can change significantly the aerodynamic configuration of the line
thus likely causing galloping and generation of serious wind-induced deflection. Therefore
identification of different ice shapes of transmission line plays an important role in preventing ice and wind coupled hazards for the transmission lines. In this paper
a kind of vision identification method for identifying ice coating shape of transmission line is mainly proposed. This method is used for ice shape identification mainly based on the improved Canny algorithms
the ice shape is corrected by image transformation theory and
finally
the fast identification and measurement of the ice shape is achieved. Both effectiveness and accuracy of the method are verified through the image identification at site and comparison with the artificial mapping.