Wind power plant unmanned aerial vehicle automatic inspection system and method based on LoRaWAN positioning technology

Abstract

The invention discloses a wind power plant unmanned aerial vehicle automatic inspection system and method based on a LoRaWAN positioning technology, and belongs to the technical field of wind power plant unmanned aerial vehicle inspection. The method comprises the steps: enabling the unmanned aerial vehicle to perform macroscopic inspection on the wind turbine generator of the wind power plant, and uploading a macroscopic inspection image of the wind turbine generator through the LoRa terminal; preprocessing the uploaded image data; diagnosing the macroscopic inspection image of the wind turbine generator to find out a fault image; determining a shooting position for the fault image, and determining a fault fan according to the shooting position of the fault image and the position information of the wind turbine generator; controlling the unmanned aerial vehicle to fly to a specified fault fan for microscopic inspection and shooting a high-definition image; diagnosing the high-definition image shot by the microscopic inspection to find out a fault image and determine a fault type, and storing the high-definition fault image into an expert database for next image diagnosis. The wind power plant inspection is automatic, the power consumption of manual operation of unmanned aerial vehicle inspection on a path is avoided, the cruising ability of the unmanned aerial vehicle is improved, and low-power-consumption positioning is realized.

Description

technical field [0001] The present invention relates to a wind farm UAV inspection system and method, more specifically to a wind farm UAV automatic inspection system and method based on LoRaWAN positioning technology. Background technique [0002] With continuous breakthroughs in my country's wind power technology, wind power generation has received more and more attention, and the scale of wind farms has gradually expanded. If the unit fails and shuts down, the power generation will be reduced and high maintenance costs will be incurred. Therefore, regular inspections of the wind turbines are required. Traditionally, the inspection of wind turbine blades mostly adopts manual inspection methods, such as using telescope observation and staff high-altitude inspection, which has the following disadvantages: (1) Most wind farms are widely distributed and the terrain is complex, so traditional manual inspection It brings great difficulties (2) The task of wind farm inspection i...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies in the prior art above, the purpose of this application is to provide a wind farm UAV automatic inspection system and method based on LoRaWAN positioning technology, aiming at Solve the problems of automatic drone inspection instead of manual drone inspection, high power consumption of GPS positioning of existing drones, and short battery life of drones

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