Development Of Digital Engineering Exploration Archives And Preliminary Analysis Of Exploration Big Data

With the rapid development of my country's urbanization,the project construction is very rapid.Various survey and research institutes across the country have completed a large number of engineering exploration projects in the past 30 years,and accumulated a large amount of geological data and test data.For the management of geological data,although the traditional file management mode is changed to the hard disk storage mode,these storage methods still have the characteristics of waste of manpower and poor sharing,and the mining of geological data is far from enough.In view of the above problems,this article builds on nearly a thousand engineering geological survey projects that have been completed in Xining City,establishes a geological data management system through Java programming language,SSM and other frameworks,and based on mathematical methods such as factor analysis and multiple linear regression analysis Quantitative study on the collapsibility coefficient of the loess samples in Chengdong District of the city,establish the relevant mathematical model,used for the prediction of the collapsibility coefficient,and provide reference for engineering construction.The main research contents of this article are as follows:(1)Through the Java programming language and SSM and other technical frameworks,the geological Exploration data management system is designed according to the needs.Starting from the two aspects of platform architecture and platform database,the two subsystems and the geological data storage table,experimental result statistical table,and permission table were developed in order to complete the construction of the geological data management system platform.It enables users to achieve effective storage,efficient access and controlled download of geological data.(2)The large thickness collapsible loess in the low terrace area of Chengdong District,Xining City was selected for quantitative analysis.The correlation between the loess collapsib-ility coefficient and other indexes in this area is summarized,and the 12 physical indexes that affect the loess collapsibility coefficient are counted by factor analysis,and several physical indexes that have the greatest influence on the collapsibility coefficient are found through dimension reduction.(3)Using multiple linear regression model to predict the loess subsidence coefficient in Chengdong District of Xining City,and through statistics found that more than half of the loess layers in Chengdong District of Xining City are medium collapsible loess.For this type of loess,according to the mathematical model established by multiple linear regression,it can be seen that there is a probability of more than 93.13%,which makes the predicted value error range within 50%.This method provides a reference for the change law and formation mechanism of collapsible loess in Qinghai,and has a positive significance for solving engineering geological problems.