The present paper proposes a detection method for building exterior wall cracks since manual detection methods have high risk and low efficiency.The proposed method is based on Unmanned Aerial Vehicle(UAV)and computer...The present paper proposes a detection method for building exterior wall cracks since manual detection methods have high risk and low efficiency.The proposed method is based on Unmanned Aerial Vehicle(UAV)and computer vision technology.First,a crack dataset of 1920 images was established using UAV to collect the images of a residential building exterior wall under different lighting conditions.Second,the average crack detection precisions of different methods including the Single Shot MultiBox Detector,You Only Look Once v3,You Only Look Once v4,Faster Regional Convolutional Neural Network(R-CNN)and Mask R-CNN methods were compared.Then,the Mask R-CNN method with the best performance and average precision of 0.34 was selected.Finally,based on the characteristics of cracks,the utilization ratio of Mask R-CNN to the underlying features was improved so that the average precision of 0.9 was achieved.It was found that the positioning accuracy and mask coverage rate of the proposed Mask R-CNN method are greatly improved.Also,it will be shown that using UAV is safer than manual detection because manual parameter setting is not required.In addition,the proposed detection method is expected to greatly reduce the cost and risk of manual detection of building exterior wall cracks and realize the efficient identification and accurate labeling of building exterior wall cracks.展开更多
Since the reform and opening up,Chinese economy has developed rapidly.Industrial and civil construction projects have made significant progress.That said,it is of great significance to further strengthen the construct...Since the reform and opening up,Chinese economy has developed rapidly.Industrial and civil construction projects have made significant progress.That said,it is of great significance to further strengthen the construction management of industrial and civil construction projects for the longterm development of construction industry in China.In terms of reality,one of the common problems in the current industrial and civil construction is wall cracks,which will have an important impact on the appearance of the building and the overall construction quality.Therefore,it is necessary to analyze the reasons and put forward corresponding measures on it.That is how we can continuously improve the construction quality in civil and industrial construction projects,thereby achieving the enhancement of building safety and stability.展开更多
基金This work was supported in part by the National Natural Science Foundation of China under Grant 51408063,author W.C,http://www.nsfc.gov.cn/in part by the Outstanding Youth Scholars of the Department of Hunan Provincial under Grant 20B031,author W.C,http://kxjsc.gov.hnedu.cn/.
文摘The present paper proposes a detection method for building exterior wall cracks since manual detection methods have high risk and low efficiency.The proposed method is based on Unmanned Aerial Vehicle(UAV)and computer vision technology.First,a crack dataset of 1920 images was established using UAV to collect the images of a residential building exterior wall under different lighting conditions.Second,the average crack detection precisions of different methods including the Single Shot MultiBox Detector,You Only Look Once v3,You Only Look Once v4,Faster Regional Convolutional Neural Network(R-CNN)and Mask R-CNN methods were compared.Then,the Mask R-CNN method with the best performance and average precision of 0.34 was selected.Finally,based on the characteristics of cracks,the utilization ratio of Mask R-CNN to the underlying features was improved so that the average precision of 0.9 was achieved.It was found that the positioning accuracy and mask coverage rate of the proposed Mask R-CNN method are greatly improved.Also,it will be shown that using UAV is safer than manual detection because manual parameter setting is not required.In addition,the proposed detection method is expected to greatly reduce the cost and risk of manual detection of building exterior wall cracks and realize the efficient identification and accurate labeling of building exterior wall cracks.
文摘Since the reform and opening up,Chinese economy has developed rapidly.Industrial and civil construction projects have made significant progress.That said,it is of great significance to further strengthen the construction management of industrial and civil construction projects for the longterm development of construction industry in China.In terms of reality,one of the common problems in the current industrial and civil construction is wall cracks,which will have an important impact on the appearance of the building and the overall construction quality.Therefore,it is necessary to analyze the reasons and put forward corresponding measures on it.That is how we can continuously improve the construction quality in civil and industrial construction projects,thereby achieving the enhancement of building safety and stability.
