Design And Data Analysis Of Field Terminal System For Dam Safety Monitoring

With the development of the hydro-electrical enterprise,building dams has brought huge economic and social benefits for people.At the same time,dam safety issues are increasingly concerned by countries.Dam safety monitoring is an important means to understand the operation law of dams and evaluate the working performance of dams.It is very important to promote national economic development and ensure the safety of people's lives and property.At present,many dams still rely on manual monitoring,and the degree of automation is not high in China.Moreover,the artificial observation is difficult and can not timely obtain the data for dams in complex terrain and remote areas,so the running state of the dam can not be analyzed in real time.In view of the above problems,this thesis presents a distributed dam safety monitoring system framework,designs and develops the terminal system for dam safety monitoring.Besides,the measured data of a hydropower station are analyzed,and the remote,real-time,on-line monitoring and data analysis of the dam are realized.Firstly,the thesis introduces the significance of dam safety monitoring,the development status of dam safety monitoring automation system and data analysis,and the development trend of monitoring technology,which provides the necessary theoretical basis for the research of the project.Then,according to the design principle and function requirement of the actual situation of the dam,the overall design scheme of the whole dam safety monitoring system is given,and the function and realization of each part are expounded.Secondly,the thesis designs the terminal system of dam safety monitoring,adopts the embedded system development,builds the corresponding hardware and software platform,gives the terminal database design scheme based on SQLite,and realizes two remote communication modes of GPRS and Beidou satellite,and provides a feature-rich,easy-to-use user interface.Then,the thesis analyzes the composition of the dam deformation displacement statistical model,summarizes the principle and application characteristics of the three statistical models of multiple linear regression,stepwise regression and partial least squares regression,and aiming at the nonstationarity of dam monitoring data,a modeling method based on error correction model is proposed.Finally,the thesis combines three statistical regression models to analyze the measured data of a hydropower station.The results show that the partial least squares regression overcomes the influence of multiple collinearity between independent variables,and has good effect.In addition,the error correction model with short-term adjustment relation is established through the stationarity of data and the co-integration relation test,which improves the fitting and forecasting ability of the model.