Research On Optimization Of Hinhway Slope Monitoring And Early Warning System Based On Internet Of Things

Guangxi,located in the South of China,has the characteristics of hot and rainy summer,complex and diverse topography,which is frequently lead to collapse,landslide,debris flow and other highway slope disasters,seriously threatening the safety of people’s lives and property.However,the perfect highway slope monitoring and early warning system is conducive to carry out the monitoring and early warning work efficiently.There are some problems in highway slope monitoring and early warning system,such as the function needs to be expanded,the business process is not perfect and the early warning level is not clear.Therefore,it is necessary to optimize and upgrade the existing system to better serve the highway slope management,improves the early warning and disposal efficiency of highway slope disaster.This paper aims to design and develop an efficient highway slope monitoring and early warning system based on the Internet of things,analyzes the influencing factors and problems of the highway slope monitoring and early warning system,puts forward the upgrading scheme of the system,deeply studies the two main problems of highway slope monitoring and early warning:the layout of monitoring points and the formulation of maintenance scheme.Finally,a set of highway slope monitoring and early warning upgrade system based on Internet of things is developed.It is helpful to carry out highway slope management and disaster early warning efficiently.The specific research contents are as follows:(1)The application requirements of highway slope monitoring and early warning system based on Internet of things are analyzed,as well as the problems existing in the present system.Put forward the upgrade scheme of the system,expand the system function module,optimize business process based on the ECRS method,and design the data process and database.(2)By optimizing the design of data transmission module,the effectiveness and reliability of data transmission are improved,and Analytic Hierarchy Process(AHP)is used to evaluate the warning level of highway slope disaster.Firstly,the consistency judgment matrix is constructed,and the weight of the influence index is calculated.Then,the early warning level of slope hazard of a highway in Guangxi was evaluated.Finally,the quantitative grade conclusion is provided to users more intuitively.So it is feasible and practical to choose AHP to evaluate early warning level of highway slope disaster.(3)Based on the comprehensive consideration of the external environment,distance,cost and the coverage of monitoring points,a reasonable layout model based on simulated annealing algorithm is established.In order to maximize the coverage of monitoring points and the minimum input cost as the goal.According to the layout model,the monitoring points are arranged.The Hungarian algorithm is used to make the maintenance scheme of monitoring points.Firstly,the evaluation index of the maintenance scheme is made clear,then the evaluation index is used.Finally,the optimal maintenance scheme of the monitoring point is determined.(4)Select C# programming language,SQL database and B/S architecture to upgrade,develop and test the highway slope monitoring and early warning system.