The sliding chairs are important components that support the switch rail conversion in the railway turnout.Due to the harsh environmental erosion and the attack from the wheel vibration,the failure rate of the sliding...The sliding chairs are important components that support the switch rail conversion in the railway turnout.Due to the harsh environmental erosion and the attack from the wheel vibration,the failure rate of the sliding chairs accounts for up to 10%of the total failure number in turnout.However,there is little research carried out in the existing literature to diagnose the deterioration states of the sliding chairs.To fill out this gap,by utilizing the images containing the sliding chairs,we propose an improved You Only Look Once version 7(YOLOv7)to identify the state of the sliding chairs.Specifically,to meet the challenge brought by the small inter-class differences among the sliding chair states,we first integrate the Convolutional Block Attention Module(CBAM)into the YOLOv7 backbone to screen the information conducive to state identification.Then,an extra detector for a small object is customized into the YOLOv7 network in order to detect the small-scale sliding chairs in images.Meanwhile,we revise the localization loss in the objective function as the Efficient Intersection over Union(EIoU)to optimize the design of the aspect ratio,which helps the localization of the sliding chairs.Next,to address the issue caused by the varying scales of the sliding chairs,we employ K-means++to optimize the priori selection of the initial anchor boxes.Finally,based on the images collected from real-world turnouts,the proposed method is verified and the results show that our method outperforms the basic YOLOv7 in the state identification of the sliding chairs with 4%improvements in terms of both mean Average Precision@0.5(mAP@0.5)and F1-score.展开更多
The ＂poly＂ chair is a combination of the excellent elements of traditional arts and crafts and modern materials. Some innovations have been made while respecting the lines and patterns of the traditional chair in th...The ＂poly＂ chair is a combination of the excellent elements of traditional arts and crafts and modern materials. Some innovations have been made while respecting the lines and patterns of the traditional chair in the design of the ＂poly＂ chair. The structure of the chair adopts the traditional pattern fish scale pattern, engraving it on the seat surface, which not only looks beautiful but also plays a supporting role; its transparent feeling gives a visual feast. In each of its structures, some of our traditional elements are properly applied to the chairs. Break the wooden structure of the past, the use of stainless steel material, the perfect combination of traditional and modern elements. So that ＂poly＂ chair is not only an ornamental handicrafts, but also a use of furniture, functional and decorative unity. In giving the feeling of light and transparent at the same time, gives a sense of grace. This design report details the selection of topics from research, to the design of the entire process.展开更多
基金supported by the National Key R&D Program of China(2021YFF0501102)the National Natural Science Foundation of China(52372308,U2368202,U1934219,52202392,52022010,U22A2046,52172322,and 62271486).
文摘The sliding chairs are important components that support the switch rail conversion in the railway turnout.Due to the harsh environmental erosion and the attack from the wheel vibration,the failure rate of the sliding chairs accounts for up to 10%of the total failure number in turnout.However,there is little research carried out in the existing literature to diagnose the deterioration states of the sliding chairs.To fill out this gap,by utilizing the images containing the sliding chairs,we propose an improved You Only Look Once version 7(YOLOv7)to identify the state of the sliding chairs.Specifically,to meet the challenge brought by the small inter-class differences among the sliding chair states,we first integrate the Convolutional Block Attention Module(CBAM)into the YOLOv7 backbone to screen the information conducive to state identification.Then,an extra detector for a small object is customized into the YOLOv7 network in order to detect the small-scale sliding chairs in images.Meanwhile,we revise the localization loss in the objective function as the Efficient Intersection over Union(EIoU)to optimize the design of the aspect ratio,which helps the localization of the sliding chairs.Next,to address the issue caused by the varying scales of the sliding chairs,we employ K-means++to optimize the priori selection of the initial anchor boxes.Finally,based on the images collected from real-world turnouts,the proposed method is verified and the results show that our method outperforms the basic YOLOv7 in the state identification of the sliding chairs with 4%improvements in terms of both mean Average Precision@0.5(mAP@0.5)and F1-score.
文摘The ＂poly＂ chair is a combination of the excellent elements of traditional arts and crafts and modern materials. Some innovations have been made while respecting the lines and patterns of the traditional chair in the design of the ＂poly＂ chair. The structure of the chair adopts the traditional pattern fish scale pattern, engraving it on the seat surface, which not only looks beautiful but also plays a supporting role; its transparent feeling gives a visual feast. In each of its structures, some of our traditional elements are properly applied to the chairs. Break the wooden structure of the past, the use of stainless steel material, the perfect combination of traditional and modern elements. So that ＂poly＂ chair is not only an ornamental handicrafts, but also a use of furniture, functional and decorative unity. In giving the feeling of light and transparent at the same time, gives a sense of grace. This design report details the selection of topics from research, to the design of the entire process.
