Materials Mechanics
Monocular 3D Video Extensometer
The Chenzhou batch monitoring project for small and medium bridges on Hunan expressways uses Haytham's Online Vision Tracker for batch monitoring of small and medium bridges, multi-bridge multi-point displacement monitoring and long-term online bridge monitoring — achieving non-contact vision measurement, cloud remote viewing, historical data management, anomaly warning feedback and long-term O&M, improving deployment and management efficiency.
Bridge health monitoring systems demand long-term operation, data continuity and remote management. The Huangpu District bridge health monitoring project improves data completeness and O&M efficiency through power monitoring, automatic restart after power failure, cloud platform data viewing and warning feedback.
Bridges produce vertical displacement, dynamic deflection and vibration response under dynamic loads such as vehicles and trains. Based on the Wuhan metro viaduct dynamic deflection monitoring project, this article introduces the value of Haytham vision trackers in long-term online bridge monitoring.
In the pagoda online monitoring project, Haytham's Online Vision Tracker achieved long-term stable operation under the complex climate of the high plateau, continuously outputting high-precision structural displacement data — a solid foundation for subsequent risk identification and evolution trend analysis.
Haytham actively participates in urban lifeline monitoring system construction with advanced visual sensing and intelligent analysis, contributing to public safety and sustainable urban development.
Deformation monitoring of the airport link high-speed rail pier section is key to bridge safety. With high-precision devices such as the Flexible Vision Tracker, displacement, tilt and deformation are monitored in real time without touching the piers. Using IoT and intelligent disaster identification algorithms, captured image data is rapidly converted into precise deformation data, ensuring efficient, reliable monitoring.
During station construction, the tracker monitors the assembly status of each block, ensuring accurate installation and design shape. After operation begins, the system continues tracking structural deformation — especially under long-term metro train loads — evaluating overall station stability in real time. Through precise analysis of deformation data, potential issues are detected early for timely maintenance, ensuring long-term safe operation.
With advanced image processing, sensor and IoT technologies, tunnel deformation monitoring achieves all-weather, automated data acquisition and processing. Edge computing reduces transmission load and improves real-time performance, while the cloud platform allows remote viewing of monitoring data, letting managers keep track of tunnel health at any time.
Using the Online Vision Tracker based on oblique optical-axis DIC technology, long-term displacement and deformation monitoring of tunnel structures is performed. The system monitors key structural points around the clock through multiple measuring heads, acquiring and analyzing displacement and vibration data in real time.