Study On Early Warning System Of Slope Geohazards Based On BP Model

The geological conditions in Shaanxi are complex,and it is one of the provinces where geological disasters occur frequently.The frequent occurrence of various kinds of geological disasters poses a serious threat to the local economic construction and social development.In particular,governments at all levels have invested a lot of manpower,financial resources and material resources into large-scale landslides such as the Northern Slope of the Lishan Mountain in Xi ’an since the discovery of hidden dangers.However,the previous methods were basically manual monitoring,with heavy workload,long monitoring cycle and low data processing efficiency and error-prone.Therefore,how to effectively and economically realize the automatic monitoring of geological disasters,and reasonable and accurate early warning has become an urgent problem to be solved.Based on the present situation of geological disasters in Shaanxi Province,the thesis carried out geological disaster monitoring based on the Beidou Navigation System(BDS)and other technologies,and focused on the Lishan Mountain landslide geological disaster using BP neural network prediction theory for early warning analysis.Through systematic exploratory research,the main conclusions are as follows:(1)The geological hazards of landslides in Shaanxi province are relatively common and harmful,so it is necessary to combine individual and regional geological hazard monitoring and early warning for the prevention and control work.Based on China’s Beidou Navigation System(BDS),the field monitoring of geological disasters has realized efficient and efficient data transmission and automatic information management,and verified the effectiveness of the BDS.(2)Through the establishment of geological disaster database,the monitoring data management platform based on Web GIS technology is constructed,and a geological disaster monitoring and early warning system integrating real-time monitoring,information data analysis,three-dimensional map and early warning is designed.The operation of the system shows that it is efficient and convenient,and has strong practicability.(3)Through the comprehensive comparative analysis of the main monitoring and early warning methods of geological disasters,the geological disaster early warning system based on BP neural network is determined.The practical analysis shows that the monitoring data values reach the early warning values mainly include the fracture measurement value of P4 and T5 points,the extensometer measurement value of EX1 monitoring point,and the deep hole inclinometer value of No.10 point.Compared with the actual monitoring and inspection,the results of the three are basically consistent,which verifies the BP neural network The effectiveness of early warning by network algorithm.Through the above research,the real-time 24-hour automatic monitoring of regional key landslides has been realized,and the efficient transmission and management has been completed by using the function of Beidou system communication short message,which provides an effective basis for accurate and timely prediction of geological disasters and has important practical significance for ensuring the safety of landslides.