深水桥梁双壁钢吊箱围堰分布式网络化智能监测方法及应用

Application of Distributed Network Intelligent Monitoring Method of Double Wall Steel Suspension Box Cofferdam for Deep Water Bridge

为促进信息化技术在工程项目中的应用,在龙溪嘉陵江大桥钢围堰安装施工与使用过程中,研究采用分布式网络化类型无线采集系统,它能同时进行振弦式传感器的应变数据采集与环境温度采集。构建了基于BIM的深水围堰分布式网络化无线智能监控系统,它不仅能把采集到的数据直接保存在系统中,而且采集系统还可通过无线通信将采集到的数据发送到计算机保存为excel文件便于用户数据分析。从整个监控过程看,基于深水钢围堰分布式网络化无线智能监控方法得到较好应用,确保了施工过程中9号钢围堰结构安全,效果较好。由监测结果可知,下放及封底混凝土浇筑过程中,各监测点监测结果均小于报警值,未发现异常情况,钢围堰整体处于安全可控状态。在承台施工过程中,内撑最大实测应力为-41.97MPa,承台浇筑后内撑应力有所减小。

In order to promote the application of information technology in engineering projects,a new wireless acquisition system is adopted in the installation,construction and use of steel cofferdam of Longxi Jialing River Bridge.This system is a distributed network type,which can simultaneously collect the strain data and ambient temperature of vibrating wire sensor.This paper constructs a distributed network wireless intelligent monitoring system for deep-water cofferdam based on BIM.It can not only save the collected data directly in the system,but also send the collected data to the computer through wireless communication and save it as excel file for user’s data analysis.From the whole monitoring process,the distributed network wireless intelligent monitoring method based on deep-water steel cofferdam is well applied,which ensures the structural safety of No.9 steel cofferdam in the construction process,and the effect is good.It can be seen from the monitoring results that in the process of lowering and bottom sealing concrete pouring,the monitoring results of every monitoring point are less than the alarm value,no abnormal situation is found,and the whole steel cofferdam is in a safe and controllable state.In the construction process of the bearing platform,the maximum measured stress of the inner support is-41.97MPa,and the stress of the inner support decreases after the pouring of the bearing platform.