Windage Yaw Angle Online Detection Of Suspension Insulator Strings Based On Edge Feature Matching

Most of trips occurred under working voltage with low reclosing rate threaten to the safety of the power grid. It’s difficult to judge and find fault point, causing certain difficulty to line maintenance. Therefore, the monitoring of windage yaw angle of transmission line is particularly significant. A method to detect the windage yaw angle in real-time based on edge feature matching of suspension insulator strings was proposed. First of all, original image is filtered by median adaptive filter and then grayed to convert into grayscale image. Next, interframe difference is made to consecutive three images inorderto obtain edge characteristics of suspension insulator strings. By edge feature matching based on edge feature matching according to local feature of suspension insulator strings stored in a database, the coordinates of the ends of suspension insulator strings are determined, and then the size of windage yaw angle of suspension insulator strings calculated. At the same time, we also can collect the microenvironment information around overhead transmission lines,and send the information to the monitoring terminal through the3G or SMS. When the monitoring system can not return to image information promptly, we can also calculatethe windage yaw angle with the windage yaw formula.The algorithm can provide translation, scaleand rotation invariance, and be better matching accuracy and robustness.The main jobin this paper is as follows: (1) Analysising of the developing situation of domestic and over seas transmission line wind osicillation monitoring system and comparising of the advantages and disadvantages of monitoring the wind oscillation methods.And introducting the overall system design,andexplaining the wind oscillation calculation principle.(2) Completing the insulator string edge feature matching, and introducing theoretical basis of the algorithm and its implementation steps. And we explain the windage yaw angle formula and the principle of minimum air gap.(3)Completing the system hardware design, and improving the system’s reliability by debuggingevery parts of the module.We introduce the overall framework of the hardware circuit and describe the circuit design of each module in detail.(4) Completing of the monitoring system software design, and describing the software development environment andprogramming language.The design process of key modules subroutine is elaborated respectively in detail and the realization methodology is theoretically analyzed.(5)Introducing the monitoring terminal software, and verifiing the feasibility of the algorithm. We also put forward some shortcomings and some improvements.