Research on Air-Ground Integrated Emergency Collaboration for Preventing Secondary Bridge Accidents

Abstract

As critical nodes of transportation infrastructure, bridges play a vital role in ensuring structural safety and operational reliability, with their safety conditions directly impacting socio-economic development and public safety. However, current bridge monitoring and emergency management systems still face notable deficiencies in the timeliness of risk identification, the accuracy of early warnings, and the efficiency of emergency response. These shortcomings often lead to frequent secondary bridge accidents, resulting in severe casualties and economic losses. To address this issue, this paper proposes an air-ground integrated emergency warning system for bridges. By establishing a three-dimensional monitoring network comprising ground-based units, aerial-based units, vehicle-mounted mobile units, and a central data processing and warning center, the system enables comprehensive, all-weather, real-time monitoring of bridge structures. Leveraging multi-source data fusion technology, the system can accurately assess risk levels at the early stages of bridge damage. Additionally, machine learning and pattern recognition algorithms are employed to rapidly generate warning information. This innovative solution offers a new approach to bridge safety warning and emergency response, holding significant value for ensuring the stable operation of transportation networks.