Development Of A Comprehensive System For Geotechnical Safety Monitoring

There are many causes of geological disasters,the environment of each geological disaster occurrence site is complex and changeable,and the occurrence of disasters is very sudden.The traditional landslide disaster monitoring system has poor real-time performance,low accuracy,low reliability,and susceptibility to complex field disturbances.A comprehensive geotechnical safety monitoring system based on multi-sensor data fusion and fuzzy mathematical analysis is proposed.According to the actual research needs,the thesis follows the technique of "selecting monitoring sensors-building monitoring systems-developing monitoring software-conducting experiments to obtain data-multi-sensor information fusion-fuzzy mathematical analysis-slope sliding coefficient analysis" Route research.The established geotechnical safety monitoring integrated system,the development of disaster monitoring system software,the collection of sensor signals through a microchip control system,and then the transmission and aggregation of data through RF wireless communication.Using C # to develop a monitoring client based on.NET4.5 under the WPF framework,to achieve online dynamic real-time monitoring of rainfall,soil moisture,surface displacement,soil stress,and underground displacement,you can fully obtain a variety of slopes during the disaster In the change of geological characteristics,the overall deformation trend of the slope body is effectively understood.Use the MYSQL database to store the collected data,which is convenient for data export and processing.On the one hand,on the basis of in-depth study of fusion estimation theory,the system data of Kalman filter fusion algorithm is selected for processing,Kalman filtering is first performed and then weighted fusion is performed.Through simulation experiments,the data is effectively reduced after processing by Kalman filter fusion algorithm The relative error of the data.On the other hand,it is proposed to use fuzzy judgment recognition in fuzzy mathematics to process multi-sensor information.By establishing the fuzzy closeness of each group of sensor data,the reliability of multi-sensor information is determined.And the image processing is used to process the sliding section of the slope body,and then the slope sliding coefficient is calculated and determined,and the weight of each monitoring parameter is calculated by the particle swarm algorithm.In this paper,a comprehensive geotechnical safety monitoring system is established and disaster experiments are conducted.Finally,it is concluded that the use of multi-sensor data fusion algorithms and fuzzy mathematical algorithms can improve the accuracy and reliability of data.I am responsible for the development of a comprehensive disaster monitoring system,and another student is responsible for the establishment of a disaster early warning model.