太湖隧道智能运营设施设计方案研究

Study on Integrated Design of Intelligent Operation Facilities of Taihu Lake Tunnel

随着交通运输领域新型基础设施建设的不断推进,交通基础设施智能化不断升级,构建智慧隧道势在必行。本文围绕太湖超长水下隧道数字化、网络化、智能化的建设,对隧道智能视觉系统、全频广播投放系统、车路协同技术、基于CPS的隧道通风节能系统、自适应智能无极调光照明系统开展隧道智慧设施总体设计研究,利用动态视觉景观、定向声发射、5G/RSU数据采集和智能传感器数据采集等技术,运用数据挖掘处理算法,构建高效云平台架构,对隧道内的交通状况及环境信息进行实时检测,优化隧道智慧管理与服务,缓解司乘人员在隧道内的压迫感,降低对周边居民日常生活的影响,优化应急处置措施,完善公众信息发布服务手段,降低隧道照明能耗,提高隧道运行效率和管理水平,最终达到“安全优先、舒适出行、节能高效”的目的。

As the construction of new transportation infrastructure continues to advance,the smart transportation infrastructure is continually being upgraded,and it is imperative to build smart tunnels.This article focuses on constructing digital,networked,intelligent super-long underwater tunnels in Taihu Lake.Research on the design of smart tunnel facilities is carried out for tunnel intelligent vision systems,full-frequency broadcast delivery systems,vehicle-road collaboration technology,CPS tunnel-based ventilation and energy-saving system,and adaptive intelligent anode lighting system.Utilizing technologies such as dynamic visual landscape,directional acoustic emission,5G/RSU data acquisition,intelligent sensor data acquisition,and data mining processing algorithm to construct high-efficiency cloud platform architecture for real-time detection of traffic conditions and environmental information in tunnels in real-time.Optimize the smart management and service of tunnels to alleviate the oppressive sense of constriction in tunnels.Reducing the impact on the daily life of the surrounding residents,optimizing emergency response measures,improving the public information release service means,reducing the energy consumption of tunnel lighting,improving tunnel operation efficiency and management level,and finally achieving"safety priority,comfortable travel,energy efficiency."