Abstract
Synthetic Aperture Radar (SAR) has been extensively used in the monitoring of natural hazards such as floods and landslides. Predicting whether natural hazards will cause serious harm to important facilities on the ground is an important subject of study. In this study, the distance between the water body and the tower and the flood ratio in the search area and the elevation are defined as the evaluation indicators of the flood hazard of the tower, indicating whether flooding will threaten the safety of the transmission line tower. Herein, transmission tower flood identification algorithms based on the center distance of the tower and the grid distance of the tower are proposed. SAR satellite image data of the flood with a resolution of 10 m are selected to prove the feasibility and effectiveness of the proposed fault identification algorithm. The simulation results show that the SAR satellite image data with a resolution of 10 m can identify the distance accuracy of the transmission tower flood hazard by up to 7 m, which can be used to identify the flood fault of the transmission line tower.
Highlights
As the scale of the power grid increases, the scope, and the workload, of power grid inspections continue to expand
Synthetic Aperture Radar (SAR) has the advantages of a quick response, accurate positioning, and a wide coverage, all of which help identify towers that may be infringed upon by floods and aid inspectors design targeted emergency repair schemes to minimize the economic losses caused by power outages; (2) We propose two fast methods to calculate the shortest distance between tower and flood based on the center distance of the tower and the grid distance of the tower
The results show that the combination of the distance and the elevation can accurately reflect the hidden flood hazards of transmission line towers
Summary
As the scale of the power grid increases, the scope, and the workload, of power grid inspections continue to expand. Over the past two decades, aerial inspections have been employed [1], which can greatly improve detection efficiency and precision. This method is restricted by factors such as flight safety, airline control, weathers changes, and refueling. Unmanned aerial vehicles (UAV) are not widely used because of the safety issues and a lack of durability [2,3,4]. For these reasons, the development of satellite technology provides a new and important means of fault detection and hazard prediction for transmission lines
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