In the background of“double carbon,”vigorously developing new energy is particularly important.Wind power is an important clean energy source.In the field of new energy,wind power scale is also expanding.With the wi...In the background of“double carbon,”vigorously developing new energy is particularly important.Wind power is an important clean energy source.In the field of new energy,wind power scale is also expanding.With the wind turbine,the probability of large-scale blade damage is also increasing.Because the large wind turbine blade crack detection cost is high and because of the poor working environment,this paper proposes a wind turbine blade surface defect detection method based on UAV acquisition images and digital image pro-cessing.The application of weighted averages to achieve grayscale processing,followed by median filtering to achieve image noise reduction,and an improved histogram equalization algorithm is proposed and used for the characteristics of the UAV acquisition images,which enhances the image by limiting the contrast adaptive his-togram equalization algorithm to make the details at the target area and defects more clear and complete,and improves the detection efficiency.The detection of the blade surface is achieved by separating and extracting the feature information from the defects through image foreground segmentation,threshold processing,and framing by the connected domain.The validity and accuracy of the proposed method in leaf detection were verified by experiments.展开更多
The country strongly supports the development of new energy industries,with the clean energy wind power industry developing rapidly and the market maturing,the scale of wind farms and installed capaci-ty expanding,and...The country strongly supports the development of new energy industries,with the clean energy wind power industry developing rapidly and the market maturing,the scale of wind farms and installed capaci-ty expanding,and the blade length increasing to 60-70m.The increased blade length and weight increase the probability of damage.the manual inspection method is time-consuming and laborious,with a high economic cost,low inspection efficiency,and high safety risks,and cannot meet the current wind turbine fast and efficient inspection requirements.This paper introduces the characteristics of the type of UAV,its working status,and mode,and proposes how to determine the best area for UAV inspection according to the factors that can cause interference to the inspection in the actual wind field,to achieve the demand for fast and efficient inspection of the blade surface and improve the accuracy of inspection.It is believed that with the development of UAV technology,UAVs will play a more important role in the field of inspection.展开更多
文摘In the background of“double carbon,”vigorously developing new energy is particularly important.Wind power is an important clean energy source.In the field of new energy,wind power scale is also expanding.With the wind turbine,the probability of large-scale blade damage is also increasing.Because the large wind turbine blade crack detection cost is high and because of the poor working environment,this paper proposes a wind turbine blade surface defect detection method based on UAV acquisition images and digital image pro-cessing.The application of weighted averages to achieve grayscale processing,followed by median filtering to achieve image noise reduction,and an improved histogram equalization algorithm is proposed and used for the characteristics of the UAV acquisition images,which enhances the image by limiting the contrast adaptive his-togram equalization algorithm to make the details at the target area and defects more clear and complete,and improves the detection efficiency.The detection of the blade surface is achieved by separating and extracting the feature information from the defects through image foreground segmentation,threshold processing,and framing by the connected domain.The validity and accuracy of the proposed method in leaf detection were verified by experiments.
文摘The country strongly supports the development of new energy industries,with the clean energy wind power industry developing rapidly and the market maturing,the scale of wind farms and installed capaci-ty expanding,and the blade length increasing to 60-70m.The increased blade length and weight increase the probability of damage.the manual inspection method is time-consuming and laborious,with a high economic cost,low inspection efficiency,and high safety risks,and cannot meet the current wind turbine fast and efficient inspection requirements.This paper introduces the characteristics of the type of UAV,its working status,and mode,and proposes how to determine the best area for UAV inspection according to the factors that can cause interference to the inspection in the actual wind field,to achieve the demand for fast and efficient inspection of the blade surface and improve the accuracy of inspection.It is believed that with the development of UAV technology,UAVs will play a more important role in the field of inspection.
