Discussion on the optimization path for the problem of excessively long bridge inspection cycles
桥梁检查周期过长问题的优化路径探讨

摘要

针对大型跨江连续梁桥受限于封道窗口与检测资源的周期超限问题，本文以某主跨120 m特大桥为案例，构建“资源-风险-经济”三元诊断模型，识别影响周期压缩的核心因素。在此基础上，提出融合无人机、缆索机器人与车载设备的多通道协同调度策略，并引入BIM驱动的病害动态预测系统，实现按风险等级匹配差异化检测周期。优化实施后，封道时间压缩62%，关键区域周期缩至12个月，可靠度指标β提升0.8，年节约成本672万元。研究建立了“采集-预测-调度-反馈”闭环机制，为长大桥梁智慧运维提供标准化技术路径。

Abstract

Aiming at the problem of cycle over-limit of large cross-river continuous beam Bridges due to the limitation of road closure Windows and detection resources, this paper takes a special bridge with a main span of 120 m as a case, constructs a "resource - risk - economy" ternary diagnostic model, and identifies the core factors affecting cycle compression. On this basis, a multi-channel collaborative scheduling strategy integrating unmanned aerial vehicles, cable robots and vehicle-mounted equipment is proposed, and a BIM-driven dynamic disease prediction system is introduced to achieve differentiated detection cycles matched according to risk levels. After the optimization was implemented, the road closure time was reduced by 62%, the cycle for key areas was shortened to 12 months, the reliability index β was improved by 0.8, and the annual cost was saved by 6.72 million yuan. The research has established a closed-loop mechanism of "collection - prediction - scheduling - feedback", providing a standardized technical path for the intelligent operation and maintenance of long-span Bridges.