A vision monitoring system for multipoint deflection of large‐span bridge based on camera networking

This paper proposes a vision monitoring system for multipoint deflection of large-span bridge that can well compensate the camera motion–induced errors. The network (CNS) consists series dual-camera stations are linked with cooperative markers. infrared illumination supplement device is integrated in station and regular double-sided prism selected as marker to realize 24-h continuous monitoring. feasibility efficiency CNS verified by conducting field test inside steel box girders suspension length 1038 m. results show proposed networking method solve problem large-scale high-precision under unstable measuring platform. For kilometer-level flexible bridge, meet submillimeter precision quasi-static measurement, also provide data similar conventional robotic total connecting pipe long-term geometric alignment bridges dense multimeasuring points be automatically monitored recorded CNS. observed deflections studied dominated vehicle load wind short term correlated temperature change long term. new option parameters safety evaluation.