Design And Implementation Of Landslide Monitoring And Early Warning System Based On Beidou

The geological disasters of landslide are threatening people's lives and property safety all the time.It is of great significance for people to establish a set of landslide geological disaster monitoring and early warning system by using modern science and technology.And the system realizes real-time monitoring and accurates early warning of landslide.In this paper,aiming at the difficulty of landslide disaster early warning,the landslide geological disaster early warning algorithm is studied.Based on the related software development technology,starting from the system requirements,the development of landslide monitoring and early warning system is completed by using multi-source heterogeneous data such as Beidou high-precision positioning data and sensor data,which realizes the visualization of monitoring and the accuracy of early warning.The main achievements and innovations are as follows:(1)Aiming at the scientific storage and management of a large number of multi-source heterogeneous data,a large distributed MySQL database cluster system is built by using MySQL + MYCAT.On the basis of completing the multi master and multi slave of MySQL database server,the cluster system realizes the functions of reading and writing separation and database and table division by configuring the MYCAT middleware.It also realizes the partition query of data table by using the characteristics of MySQL itself,and ensures the orderly storage of monitoring data by adding redis cache and multiple data management strategies.It ensures the load balance of data storage and the ability of fast data reading and writing on the whole.(2)According to the operation requirements of the landslide monitoring and early warning system,the early warning algorithm suitable for the system is studied.For different monitoring areas,according to the complexity of geological conditions and the possibility of landslide,different early warning algorithms are implemented.The single station dual criteria early warning algorithm mainly judges the early warning according to the cumulative shape variable and tangent angle of a single monitoring point.Multi station double criteria early warning algorithm adds multiple monitoring points to judge the cumulative shape variable and tangent angle,which ensures the early warning of landslide area in the integrity.Aiming at the multi-source heterogeneous data provided by the system,the multi-source information fusion early-warning algorithm proposes a comprehensive early-warning method of multi index and multi threshold,which achieves more accurate space forecast and more accurate time forecast.(3)The landslide monitoring and early warning system was developed.Through the analysis of the system requirements,the overall framework of the system is designed.At the same time,four main modules are designed,including the system monitoring module,early warning module,permission module and monitoring module.Then the corresponding design of the database table is given.Based on the open source framework of jeecg,the development of each functional module of the landslide monitoring and early warning system is completed.And the system API interface is designed and implemented to facilitate data sharing between platforms.Finally,through the test of the system performance and function,it is found that the system runs stably,has comprehensive functions,and meets the predetermined requirements.