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Principal Investigator:
Dr. Huang ShipingSCUT
Key Words: bridge inspection, structural health diagnosis, intelligent equipment, crack identification

Cracks are pivotal indicators of the structural integrity of long-span bridges.  Project team has developed an intelligent detection system specifically tailored for these structures to address inherent issues in traditional testing methods, such as blind spots, reliability concerns, and potential risks. The developed sophisticated equipment utilizes digital imaging technology to capture area images during inspections, which are then transmitted wirelessly to a terminal for automatic structural assessments.

Potential Applications

Technologies developed from the project have been incorporated into more than 20 notable engineering projects, including project of monitoring construction of DJI's Sky Bridge, which is the tallest aerial suspension bridge in China, project of inspecting the fifth-floor aerial corridor at the Shenzhen Contemporary Art and Urban Planning Museum, project of assessing the Pearl River Bridge on the Guangzhou-Zhanjiang High-speed Railway, and project of providing monitoring services during the steel structure hoisting at Baiyun Airport's Smart Toll Station. All aforementioned projects have been successfully conducted and received high recognition from construction and maintenance companies and authorities. Furthermore, the developed technology has been deployed to support routine inspections across more than 300 bridges in Guangzhou Huangpu District.

Value Proposition

The equipment developed by the project team utilizes drones or detection brackets for high-definition scanning and precise positioning of structural cracks. It transmits data in real-time through an image transmission system to the ground terminal, where the images are analysed to generate test reports. Its key advantages include a sustainable power supply system, the capability to transition from qualitative to quantitative crack identification, high-precision positioning covering the entire structure, and GPU/FPGA parallel technology enabling efficient processing of large volumes of images to reduce equipment costs.