摘要
Abstract
In recent years,infrastructure engineering and information technology have undergone significant development,but there is a lack of relevant technologies for real-time monitoring and early warning of the on-site environment of infrastructure engineering,and manual measurement methods cannot meet the requirements of high accuracy and small time delay in real-time monitoring of infrastructure construction site.In order to meet the requirements of high accuracy and low time delay,an auto-matic environmental monitoring method based on the Internet of Things and compressed sensing reconstruction optimization(CSRO)under the 5G network framework is proposed.The research results indicate that the CSRO algorithm has a minimum average root mean square error(RMSE)of 0.073,a minimum average relative error(RE)value of 0.0041,and a shortest av-erage running time of 0.0039 s.In the field testing of this method,the test rainfall is 516.3 mm.After a long period of rain-fall,the crack displacement stabilizes at 7 mm and 3 mm.In summary,the method proposed in the study has the characteristics of high accuracy and short time consumption,and has good results in practical monitoring.关键词
5G网络/无线传感网络/物联网/自动化监测/压缩感知/重构算法Key words
5G network/wireless sensor network/Internet of Things/automatic monitoring/compressed sensing/reconstruc-tion algorithm分类
信息技术与安全科学
