Monash University Team Assists in Urban Drainage Pipeline Detection, Efficiently Identifying Disease

In April 4, 2023, led by a research team in Monash University, a urban drainage pipeline detection task was successfully completed in Sydney. Using its independently developed all-terrain pipeline detection robot, the team efficiently inspected 5 kilometers of drainage pipelines within just 8 hours, discovering a total of 23 defects, including various types such as cracks, leaks, and sediment accumulation, providing strong support for the safety of urban underground pipe networks.

During this detection task, the robot demonstrated excellent operational stability and efficient defect identification capabilities. In the complex underground pipeline environment, the robot smoothly navigated through harsh working conditions such as blockages and bends without any malfunctions. This relies on its advanced four-wheel drive spiral power structure and intelligent control system. Based on deep learning and computer vision technologies, the robot achieved real-time identification of the pipeline defects, generating 3D reconstruction images, with a defect location accuracy rate of over 95%.

Team leader Dr. Xupei Yao stated: "Our robot not only has high detection efficiency but can also assess pipeline lifespan through an intelligent early-warning system, providing a scientific basis for subsequent maintenance." A severe crack discovered during this detection was promptly reported to the municipal department, avoiding potential road collapse risks.

This technology has currently applied for multiple patents and plans to further promote it in Australia. In the future, the team will continue to optimize the robot's performance, contributing to smart city construction and underground space safety.