Improvement of Bird Prevention Strategy Based on Big Data Mining

Abstract

This paper takes the bird damage situation of transmission lines in Y city of Henan province over the years as the research object, and adopts the method of data mining to conduct big data analysis of transmission line towers in Y city, so as to carry out targeted precise prevention and control of bird damage. Through the calculation of the correlation coefficient, we can find that the related factors of bird damage are: the arrangement of the tower insulator, the distance between the tower and the river, the height of the tower. In this paper, the characteristics of month, time, region and river basin of bird pest in Y City are analysed, and some laws beneficial to actual production are found. Combining the characteristics of various anti-bird devices at the current stage, it puts forward two new bird proof measures of 35kV “up" type pole tower innovatively, which has been proved to be effective in practice. Y City’s new idea of precise prevention and control of bird damage, has reference and reference significance for the prevention and control of bird damage in power grid.