1.Hubei Institute of Electric Power Science;2.Hunan University;3.HDHL Electric and Information Technology Co., Ltd.;4.Zhengzhou University;5.HDHL Electric and Information Techonolgy Co., Ltd.
The infrared thermal image detection method has unique advantages in low/zero value diagnosis of porcelain insulators. However, an EHV/UHV porcelain insulator string is generally too long to be entirely displayed in a single infrared image by an industrial thermal camera/airborne thermal lens, which causes serious difficulties to the intelligent diagnosis of deterioration based on the whole string temperature characteristics. To solve this problem, this article proposes a two-stage temperature curve splicing method based on weighted data fusion. This method can avoid problems of target missing by infrared image mosaic technology, and has higher fitting accuracy compared with curve splicing methods such as rounding and midpoint splicing. The basic algorithm and process of the proposed curve splicing method are illustrated through an example of a 1000kV insulator string. A comparative study of various curve splicing methods is carried out by taking a 500kV insulator string into account, before the effectiveness and feasibility of the proposed method are verified.