摘要
为确保隧道的平稳、安全、可靠运行,设计基于窄带物联网的智慧隧道综合管控平台。基于B/S模式设计平台三层架构。以窄带物联网(NB-IoT)为纽带,下连传感器节点,上连管控中心服务器,组成平台硬件结构。利用深度学习对传感数据进行分析,实现对隧道运行风险的精准识别。根据识别结果,触发预警同时生成应急预案,排除隧道风险,完成智慧隧道综合管控。结果表明:NB-IoT在处理小到中等大小的数据包时传输速率较高且表现稳定。智慧隧道综合管控平台发挥了风险识别和管控功能,有效识别出了隧道内违规车辆以及漏水风险并给出了管控方案。
To ensure the smooth,safe,and reliable operation of tunnels,a smart tunnel comprehensive control platform based on narrowband IoT is designed.We design a three-tier architecture for the platform based on the B/S model.Using Narrowband Internet of Things(NB IoT)as a link,the platform hardware structure is composed of sensor nodes connected downwards and control center servers connected upwards.We analyze sensor data and achieve accurate identification of tunnel operation risks by using deep learning.Based on the recognition results,trigger warnings and generate emergency plans to eliminate tunnel risks and complete comprehensive control of smart tunnels.The results indicate that NB IoT has a high transmission rate and stable performance when processing small to medium-sized data packets.The intelligent tunnel comprehensive control platform has played a role in risk identification and control,effectively identifying illegal vehicles and water leakage risks inside the tunnel and providing control plans.
作者
周兰兰
ZHOU Lan-lan(Shanghai Urban Construction Urban Operation(Group)Co.,Ltd.,Shanghai 200023,China)
出处
《价值工程》
2025年第20期112-114,共3页
Value Engineering
关键词
窄带物联网
智慧隧道
三层架构
RBFN
综合管控平台
narrowband Internet of Things
smart tunnel
three-tier architecture
RBFN
comprehensive control platform
