Research On The Intelligent Extraction Method Of Insulator Disk And Steel Cap Area Of Infrared Image

Insulators are widely used in transmission and distribution network, due to the impact of the long atmospheric pollution, hot and cold changes and rain erosion, the running insulation may occur deterioration. Once appeared deterioration insulator in the insulator strings, this insulator equivalent to short circuit and leakage current increases, causing the temperature of the insulator's surface rising, it will reduce the effective insulator strings creepage di stance and increase the probability of flashover insulator strings, the direct result is that insulator strings broken, wires and other chains landing accident, a serious threat to the security and stability of the power system run. So insulator state detection is an onerous task.Compared with the traditional artificial climbing pole line detection method, patroling the line taken by infrared thermal imager, and using image processing technology to automatically detect fault line is more efficient, it is c urrently the main direction of development of intelligent transmission line inspection. In view of the present low insulator, zero test method of missing of rate is high, complex operation and so on, this paper proposes a new intelligent extraction methods of insulator disk and steel cap to obtain the image texture and temperature of the disk and steel cap area and other information to achieve insulator infrared image automatically and batch processing, laid a solid foundation for insulator detecting state.This paper firstly analyses the basic principle of infrared imaging and infrared detection characteristics, expounds the rule of law of infrared imaging infrared radiation heating objects and insulator operating state of heating and temperature rise model of insulator steel cap is set up. The faulty insulator normal insulator based on different values, different resistance in series on the different position of the steel cap temperature rise calculation. By studying the infrared thermal imaging technology to detect the basic approach of low and zero value insulator to show the necessity of image segmentation, and describes in detail the extraction of i nfrared image based insulators' disk and steel cap regional intelligence implementations and processes.Through comprehensive analysis of mathematics and computer, from the reality summarized suggested some guidelines and segmentation. The algorithm takes full advantage of the symmetry of the insulator infrared image characteristics, first insulator infrared image captured gray scene processing, de-noising, binarization pretreatment; then extracted from the skeleton of the reflected binary image insulators feature point set; the feature point set insulator string tilt correction Hough transform; and finally the binary image insulator disk and steel cap morphological processing and statistical analysis, extraction algorithm to extract the region of the disk insulators and steel cap area, and were judged insulator string direction.The results showed that: this method can infrared images from the scene of the complete substation extract the insulator s' disk and steel cap area, there is a higher value in engineering.