Design And Implementation Of Guizhou Slope Geological Disaster Monitoring System Based On Big Data

Guizhou Guizhou Province is a typical inland karst mountainous area with complex and fragile landform and geological structure,and many geological disasters.The geological and geomorphic conditions in Guizhou Province determine the inevitable occurrence of building slope engineering in engineering construction.Therefore,it is of great significance to improve the standardization level and application ability of building slope engineering monitoring and digital new technology integration in Guizhou Province,so as to promote the safe and healthy development of building slope engineering in Guizhou Province.With the rapid development of new big data technology,the application of building safety monitoring based on big data is more and more widely,aiming at the problems of large amount of monitoring data,variety of project types and forms,complex construction process or slope dynamic response under extreme environmental impact is not timely.In this paper,the design of Guizhou slope geological disaster monitoring and early warning system based on big data is proposed,and four monitoring scenarios are applied to realize the basic functions1.Based on the theory of slope deformation,this paper introduces the related technologies of slope monitoring,and studies the key technologies such as big data,cloud computing,artificial intelligence,neural network and data mining.2.This paper designs and implements the monitoring,early warning and forecasting system of Guizhou slope geological disasters based on big data.By monitoring the displacement and deformation,stress state,water level and environment(temperature and humidity)of the monitoring object,the system can timely understand the operation status,evaluate and monitor the safety status of the project,prevent the occurrence of disasters and avoid adverse social effects,and provide measured data for dynamic design and information method construction.3.System application and monitoring data analysis.The system platform designed in this paper has been applied to foundation pit slope monitoring,slope displacement time monitoring,geological disaster monitoring,anchor cable prestress loss monitoring,drainage culvert engineering monitoring.The system excavates the correlation between monitoring data,cause and effect,and between monitoring data and construction process from the actual successful cases of big data platform applied in slope safety monitoring,and then dynamically judges the safety and health status of slope engineering construction and operation process,and puts forward suggestions and measures.It also accumulates valuable experience for deepening and improving the information big data platform of slope geological disaster early warning and prediction in Guizhou Province.