AI机器狗化身“安全哨兵”

AI robot dog transforms into a "security sentinel"

高速公路拓宽，如何在疏松的山体中把原有的双洞4车道扩挖打通成单洞4车道隧道？日前，在浙江沿海高速公路大通道——甬台温高速公路台州北段岩峰隧道段，连拱隧道“二合一”改建工程正式进入施工阶段，打头阵的是机器狗“小安”。

The widening of an expressway presents an unique engineering challenge: converting the existing four-lane twin-bore tunnel into a single-bore, four-lane structure through loose rock formations. This challenge is currently being addressed at the Yanfeng Tunnel section on the north Taizhou segment of Zhejiang's Yongtaiwen Expressway, a key coastal corridor. The "two-in-one" reconstruction of this twin-arch tunnel has officially commenced, and leading the venture is a robot dog named "Xiao An".

原岩峰隧道全长605米，扩挖段最大开挖断面达257.6平方米，全部处于Ⅳ、Ⅴ级围岩地质中，围岩自稳能力减弱，施工技术难度大、安全风险突出。在隧道顶部超挖区域与围岩稳定性巡检方面，传统方式效率低、风险高，已成为制约工程安全推进的瓶颈。

The original Yanfeng Tunnel spans 605 meters. The expansion involves a maximum excavation cross-section of 257.6 square meters through unstable Class IV/V rock mass. The poor self-stabilizing capacity of the surrounding rock presents significant technical challenges and safety risks. Furthermore, traditional methods for inspecting the tunnel crown for over-excavation and stability are inefficient and hazardous, forming a critical bottleneck for the project's safe progress.

项目组引进智能机器狗“小安”，替代人工进入高危区域执行巡检任务。“小安”搭载基于DeepSeek大模型构建的智能分析系统，能够实时采集数据，通过AI算法精准识别顶部松散体和潜在风险；具备“多模态融合”能力，高精度视频赋予其敏锐的“双眼”；雷达点云建模技术提供“透视”功能，可快速生成毫米级精度的隧道三维模型，准确计算空洞体积，实现对塌方风险的超前预测，使隧道巡检从“事后发现”升级为“事前预警”。

The project team has deployed the intelligent robot dog "Xiao An" to conduct inspections in high-risk areas,replacing human workers. Equipped with an intelligent analysis system powered by the DeepSeek large model, "Xiao An" can collect data in real-time and use AI algorithms to accurately identify loose rock masses and other potential hazards in the tunnel crown. It features multi-modal fusion capabilities: high-precision video serves as keen "eyes", while radar point cloud modeling provides "X-ray vision", enabling it to quickly generate a millimeter-accurate 3D model of the tunnel. This model allows for precise calculation of over-excavation volume and facilitates the advanced prediction of collapse risks, thereby evolving the tunnel inspection from "post-incident discovery" to "pre-warning".

“小安”的应用是甬台温高速公路台州北段项目推行智慧建设的生动实践。从吴岙枢纽上空的无人机“空中交警”，到新隧道内的巡检机器人“智慧哨兵”，该项目正逐步构建“人机协同、智能管控”的新型施工安全管理体系。后续，项目团队将及时总结经验，力争形成可复制、可推广的标准化成果。

The use of "Xiao'an" is helping build smart construction capabilities in the Yongtaiwen Expressway's Taizhou North Section. From the drone-based "aerial traffic control" over the Wu'ao hub to the "smart sentinel" in inspection robots inside the new tunnel, the project is steadily establishing a new safety management system characterized by human-machine collaboration and intelligent governance. Moving forward, the project team will promptly summarize the lessons learned, aiming to establish standardized and replicable models for border application.