Wind turbine blade image damage detection and positioning method

A wind turbine blade and damage detection technology, which is applied in image analysis, image data processing, computer components, etc., can solve the detection accuracy of detection methods (high false warning rate and missed detection rate, which affect the reliability of wind turbine blade fault detection methods) It can reduce the number of unplanned shutdowns, save manpower and material resources, and achieve the effect of fast recognition speed
CN112233091AActive Publication Date: 2021-01-15青岛科多帮信息技术有限公司 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
青岛科多帮信息技术有限公司
Publication Date
2021-01-15

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Abstract

The invention belongs to the technical field of fault detection, and particularly relates to a wind turbine blade image damage detection and positioning method. Based on a deep convolutional neural network, the method comprises two processes of model training and damage detection and positioning. According to the invention, the wind turbine blade images shot by the unmanned aerial vehicle and themonitoring camera can be automatically interpreted, and multiple types of wind turbine blade damage can be efficiently and accurately recognized and positioned. Blade damage evaluation and early warning are achieved, the frequency of accidental shutdown of the wind turbine caused by blade faults of the wind turbine is reduced, and the operation and maintenance cost of the wind turbine is reduced.The invention has the advantages of high recognition speed, high precision, full-automatic process, low operation threshold and the like, and makes up the defects of low efficiency, high misjudgment rate, time and labor waste and the like caused by manual operation in the traditional method.
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Description

Technical field:

[0001] The invention belongs to the technical field of fault detection, and in particular relates to a method for detecting and locating image damage of wind turbine blades. Background technique:

[0002] my country is rich in wind energy resources. The country's developable wind energy resources are about 4350GW, and the reserves of wind energy resources rank among the top in the world. my country's popularization of wind turbines (referred to as "wind turbines") is rapid. With the continuous expansion of the deployment of wind turbines in China and the world, its operating status monitoring and safety maintenance work has attracted more and more attention. Wind turbines are installed in places with abundant wind resources, most of which are near the seaside or on the top of mountains near the seaside, and the environment is harsh. Therefore, wind turbines are usually exposed to changeable and harsh environments, such as high altitude, desert, Gobi and sea...

Claims

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