With the high-quality development of transportation in China, highway bridges, as the core part of transportation infrastructure, have received widespread attention for their safety and operation management. Especially in the field of super large bridges, due to their importance in transportation and enormous social benefits, safety and operation management are particularly crucial. This research focused on the operation and maintenance management of super large bridges, especially how to improve the efficiency and effectiveness of bridge operation and maintenance management through BIM (Building Information Modeling) technology. This technology deepened the understanding of bridge structure and performance by establishing a detailed BIM model. By standardizing model data and establishing coding systems, data interoperability and management efficiency were improved, providing decision support for the daily management and maintenance of bridges. According to experimental data, it can be concluded that the accuracy of basic information judgment, temperature and humidity accuracy, bridge status judgment accuracy, and operation and maintenance information accuracy of BIM dynamic temperature recognition and maintenance technology for bridges were among four sets of data. The accuracy rates of all four data items were between 91.20% and 94.27%, indicating a high accuracy rate. The comprehensive application of these technologies aims to improve the operation and maintenance management level of super large bridges, ensure their long-term stability and safety, and contribute to the sustainable development of transportation systems.
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