Abstract
Inspection of high-voltage transmission lines is a dangerous and time-consuming activity that requires specially trained technicians to work tens of meters above the ground and near-live lines carrying thousands of volts. This paper presents the development of a tele operated fuzzy Controller Vehicle Sonar Tracking Checker designed by use unmanned autonomous vehicle in the collection of data power lines for preventive maintenance of high-voltage lines. The Vehicle Sonar Tracking Checker was designed with mobility in mind, so those cable spacers, suspension clamps, and other obstacles, which so far have prevented the inspection of high-voltage lines, will not be prevented the inspection of the lines. The safe operation of the transmission line and its components causes periodic inspections to detect corrosion and other climatic and mechanical problems and flaws. The necessity for rapid and robust algorithms for interpreting photos or video got by drones during inspections has increased as the usage of unmanned autonomous vehicle (UAV) for ecological observation grows. Use UAV in the collection of power lines data and for analysis defects, various algorithms are used from image processing with MATLAB and python.
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