Intelligent monitoring and early warning method of embankment water level based on Internet of Things technology
Due to the influence of environmental factors,the warning results of intelligent monitoring and early warning of embankment water level using the proposed method are unstable.To solve this problem,this paper proposes an intelligent monitoring and early warning method of embankment water level based on Internet of Things technology.Firstly,the Internet of Things technology is used to collect data on the water level status of the levees.Secondly,the equivalent EMS monitoring and early warning model is constructed by fusing the monitoring data of embankment water level.Finally,the real-time water level display program is designed to realize intelligent monitoring and early warning of dam water level.Through the design and comparison experiment,the experimental results show that the monitoring and warning stability coefficient of this method is high,and can be maintained between 1-2,and can more accurately monitor the water level of the dam and early warning,and the application effect is good.
Internet of Things technologywater level of leveesintelligent monitoringmonitoring and early warning method
NETL
NSTL
万方数据
