Improvement And Application Of The Software For Judging The Key Strata Of Overlying Strata

The theory of key strata of rock strata control has been widely recognized in the academic field,and has been widely used.The application of the theory of the core layer overlying key is to determine the position of the key strata accurately,but the overlying key judgment layer position calculation is very complicated,if the manual or calculator is error prone,resulting in repeated calculation,so through the program to solve this problem is imperative.Previous scholars have done a lot of fruitful work in the process of identifying key strata,but there are still many areas to be improved.Based on this,this paper focuses on how to improve the accuracy of the key layer discriminant,discriminant efficiency and software development to explore,on the basis of the original software to improve and optimize.Key strata discriminant analysis algorithm based on key layer distinguishing,based on this algorithm combined with user demand for software architecture design,software design of the task management module,data input module,parameter setting module,lithology key layer distinguishing module,graphics rendering module five modules.The software is programmed by C# language and Access database.Access database file,which is independent of software,is the medium of data interaction,which improves the expansibility of software.The boundary conditions of the software are tested and the results are tested.The results show that the performance of the software is good.Based on the results of the key layer software,the application of the key stratum of the overlying strata in the prediction of the height of the water flowing fractured zone and the estimation of the hydraulic working resistance are studied.Combined with the engineering site,the results are in good agreement with the field situation,which has a certain guiding significance for field practice.This software has been improved and upgraded in six aspects based on the old version of the software,the first identification efficiency is improved by about ten times;the second input parameters more convenient;third key layer distinguishing more accurate results;fourth output can be customized;fifth layers using the national standard sample;sixth to improve the scalability of the software.The improvement of the software can be more effective to assist researchers in the field of rapid analysis and research,and put forward effective solutions.