物联网学报 ›› 2018, Vol. 2 ›› Issue (3): 104-110.doi: 10.11959/j.issn.2096-3750.2018.00070

• 服务与应用 • 上一篇    

基于物联网技术的桥梁监测系统

李政,张圣,张卢喻,张杨   

  1. 重庆市城投路桥管理有限公司,重庆 400015
  • 修回日期:2018-05-10 出版日期:2018-09-01 发布日期:2018-10-15
  • 作者简介:李政(1980-),男,重庆市城投路桥管理有限公司党委书记、执行董事、重庆市桥梁协会副秘书长、重庆市桥梁协会管养专业委员会主任、高级工程师,主要研究方向为特大型跨江桥梁的管理和维护。|张圣(1976-),男,重庆市城投路桥管理有限公司副总工程师、结构工程师、建造师,主要研究方向为桥梁智慧科技管理、桥梁养护标准化以及结构在营运阶段特性研究等。|张卢喻(1981-),男,重庆市城投路桥管理有限公司总工办主任、重庆市招投标专家库专家、高级工程师,主要研究方向为特大型跨江桥梁的维护与维修。|张杨(1979-),男,重庆市城投路桥管理有限公司菜园坝大桥管理处维护科科长,主要研究方向为桥梁结构健康监测系统、视频监控系统等物联网技术运用以及信息化系统的应用和管理。

Bridge monitoring system based on Internet of things technology

Zheng LI,Sheng ZHANG,Luyu ZHANG,Yang ZHANG   

  1. Chongqing City Investment Road Bridge Management Co.,Ltd.,Chongqing 400015,China
  • Revised:2018-05-10 Online:2018-09-01 Published:2018-10-15

摘要:

万物互联是当今智能城市发展的趋势,随着物联网技术的快速发展,对获取城市重要基础设施的实时状态信息提供了良好的契机。针对传统人工桥梁监控方式存在的监测效率低、灵活性差、检测结果不严谨等问题,提出了基于物联网(Internet of things)技术的桥梁监测系统。该系统通过多种类型传感器和视频节点实时采集桥梁动态数据,而后通过无线多跳网络将感知数据汇聚传输至桥梁健康监测云平台进行处理和分析,从而实现对桥梁安全状况的实时监测、预警、分析与评估,对实际桥梁安全工程有重大意义。

关键词: 物联网, 桥梁监测, 数据采集, 预警

Abstract:

The Internet of everything is the trend of today’s smart cities.With the rapid development of Internet of things technology,a good opportunity is provided to obtain real-time status information on important infrastructures.Aiming at the problem such as low monitoring efficiency,poor flexibility and rigorous testing results with traditional artificial bridge monitoring methods a bridge monitoring system based on the Internet of things technology was designed.A variety of sensors and cameras were used in the system to collect the data of bridge’s dynamic status in real-time,and the wireless multi-hop network was used to transfer the perception data to the bridge health monitoring cloud platform for further processing and analysis.Real-time monitoring,early warning,analysis and assessment of bridge safety conditions could be realized by the system,and is very important to the bridge safety engineering.

Key words: Internet of things, bridge monitoring, data collection, early warning

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