Bridge Inspection Robot Swarm BridgeBot Covers Hong Kong-Zhuhai-Macao Bridge: AI Detects Structural Cracks to 0.1mm Precision
China Communications Construction Company deployed its BridgeBot bridge inspection robot swarm for comprehensive inspection of the Hong Kong-Zhuhai-Macao Bridge. 56 underwater and surface robots completed in 72 hours what traditionally takes 3 months, with AI vision systems identifying structural cracks to 0.1mm precision.
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In May 2028, China Communications Construction Company (CCCC) announced that its BridgeBot bridge inspection robot swarm successfully completed the first fully automated comprehensive inspection of the Hong Kong-Zhuhai-Macao Bridge. The mixed fleet of 36 wall-climbing robots, 12 underwater robots, and 8 drones completed inspection of the bridge's 55-kilometer deck, 228 piers, and all underwater foundations within 72 hours.
Traditional manual inspection of the same scope would take approximately three months, typically conducted during nighttime low-traffic periods, significantly impacting bridge operations. BridgeBot project lead and CCCC chief engineer Meng Fanchao explained that the robot swarm operates in a "swarm coordination" mode: wall-climbing robots handle pier and beam surface inspection, underwater robots cover pier underwater sections and pile foundations, and drones perform macro inspection of the deck and cables—all coordinated through a unified dispatch system.
Each robot's AI vision inspection system is based on a deep learning model trained on 500,000 bridge defect images, automatically identifying common defects including cracks, corrosion, concrete spalling, and exposed rebar. In comparative testing, BridgeBot achieved 96.3% accuracy for cracks 0.1mm and wider—comparable to professional inspection engineers.
"But BridgeBot's advantage isn't in single-inspection accuracy but in frequency and consistency," Meng said. "Human inspectors' attention and judgment decline over time, but robots don't. Plus, BridgeBot can inspect monthly or even weekly, whereas traditional methods typically conduct comprehensive inspections only every 2-3 years."
Hong Kong-Zhuhai-Macao Bridge Authority director Zhu Yongling said high-frequency automated inspection will shift bridge maintenance from "reactive repair" to "proactive prevention." "Through long-term accumulated inspection data, AI can predict structural degradation trends and schedule maintenance before problems become serious defects."
In cost terms, a single BridgeBot comprehensive inspection costs approximately 1.8 million yuan, comparable to traditional manual inspection costs. But considering BridgeBot can increase inspection frequency from once every 3 years to monthly, without road closures, its overall value far exceeds traditional methods.
However, BridgeBot's operational capability under extreme weather conditions remains limited. During a May test, typhoon conditions reduced underwater robot positioning accuracy by 40%, requiring suspension of underwater inspection operations. CCCC says it is developing anti-current interference positioning algorithms for underwater robots.
BridgeBot's success has attracted global attention from the bridge inspection industry. Japan's Ministry of Land, Infrastructure, Transport and Tourism and the UK's National Highways have each contacted CCCC to discuss deploying BridgeBot on the Honshu-Shikoku bridges and the Forth Bridge.
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