Wind power plant unmanned aerial vehicle automatic inspection system and method based on LoRaWAN positioning technology
A positioning technology and automatic inspection technology, which can be used in services based on location information, services based on specific environments, closed-circuit television systems, etc., which can solve the problems of high power consumption of UAV GPS positioning and short battery life , to improve the inspection level, reduce multi-path transmission, and avoid power consumption.
Active Publication Date: 2021-04-30
SHENYANG INST OF ENG
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[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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[0052] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. Preferred embodiments of the application are shown in the accompanying drawings. However, the present application can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the application more thorough and comprehensive.
[0053] In order to solve the many defects caused by the inspection of the existing artificially operated UAV, the problems of high power consumption of the GPS positioning of the existing UAV and the short battery life of the UAV, the solution provided by this application is: LoRaWAN positioning technology-based Wind farm UAV automatic inspection system and method.
[0054] Such as figure 1 As shown, the wind farm drone automatic inspection system based on L...
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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...
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Login to view more IPC IPC(8): G07C1/20H04N7/18H04L29/08H04W4/02H04W4/40G06K9/00H04B7/185
CPCG07C1/20H04N7/183H04L67/06H04W4/023H04W4/40H04B7/18506G06V20/13Y02D30/70
Inventor 尹常永李奇洁黄硕李晨任娜赵志刚
Owner SHENYANG INST OF ENG
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