Chongqing Construction Engineering Group Corporation Limited

Reseach Institute of Highway Ministry of Transport

Guoqiang Liu

Bo Chen

Yifei Wu

Xiaochen Ma

Ke Zhong

Lin Qiu

Sang Luo

Jing Ding

Xiaoni Zeng

Chengyong Hu

Guanghua Yue

Xiaojun Deng

Ronghua Chang

Zongyong Chen

A high-precision intelligent detection method for bridge diseases based on spatial position. The method comprising: collecting images based on the high-definition image acquisition system; importing the image data and position information data into image processing software to create a mosaic image of each part of the bridge; importing the prepared spliced image map into the bridge disease intelligent identification system; obtaining the corresponding position and bridge of the bridge disease in the three-dimensional model of the bridge; identifying the stitched image map to obtain the size of the disease after identifying the bridge disease image and locating the bridge disease. The high-precision intelligent detection method for bridge diseases based on spatial position realizes automatic collection and intelligent analysis of bridge inspection data, reduces the workload of the inspection technicians and improves the detection efficiency.

High-precision intelligent detection method for bridge diseases based on spatial position

An anti-rutting pavement structure is arranged consecutively from bottom to top, a semi-rigid base layer, a SBS emulsified asphalt adhesive layer, a Type II latex cement mortar poured asphalt concrete lower layer, a Type I latex cement mortar poured asphalt concrete middle layer and a high viscosity modified asphalt SMA-13 concrete surface layer.

Latex cement mortar poured anti-rutting pavement structure and paving method thereof

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Chongqing, China

Guoqiang Liu