Rockburst Experiment Big Data Compression Algorithm And Visual Analysis

In the underground mining operation,when the mining reaches a certain depth,the tectonic stress of the rock mass is relatively high,and the phenomenon of sudden failure of the rock mass is called rockburst.The study of rockburst mechanism has extremely important theoretical and practical significance.However,almost all researchers are faced with the problem of huge amount of experimental data and insufficient analysis,which seriously restricts the further development of research.With the in-depth study of rockburst mechanism,more and more experimental data are generated.The data volume has grown from GB level to TB and PB level.Such a huge data volume cannot be analyzed by traditional technology,so big data technology is introduced into the research field of rockburst.Based on the State Key Laboratory,taking the experimental data of the laboratory as the research object,this paper makes a thorough study on data storage problem about three major problems in the field of rockburst research,data storage,data processing and data analysis.Firstly,this paper introduces the technology of rockburst research,big data,compression algorithm,visual analysis and so on.Covered in this article are introduced after experiment data collection method,rockburst through the laboratory experiment environment to do a lot of rock burst and collected a large number of experimental data,randomly selected five groups,using big data analysis technology to preprocess the experiment data.Statistical algorithm for experimental data and analysis of continuity characteristics of rockburst data algorithm are proposed.The above two algorithms were used to extract and analysis data features,and the analysis results were presented by visual analysis technology.On the basis of extracting and analyzing data features,a set of compression and storage algorithms are designed and implemented,VSC,NVSC,VS and VC algorithms.Through comparative analysis of the four algorithms,the optimal compression performance of VC algorithm is obtained.On this basis,the VC algorithm is improved based on dictionary coding LZ78 algorithm,and the D-VC algorithm is designed and implemented.Five groups of rockburst experimental data are tested with the above five algorithms.By comparing the compression effects of each algorithm,it is concluded that the best compression performance of the improved D-VC algorithm is 1.912%,which is better than WinRAR's 3.48%,360's 4% and kuaizip's 4.16%.The performance of the compression algorithm is visualized.Through the above work,the data storage problem is solved.Based on the five modules of big data collection,big data storage,information query,online analysis and visualization,the big data processing system for rockburst experiment is designed and developed.The system realizes the big data compression and upload function on the basis of the designed compression algorithm.Finally,the economic benefit of the compression algorithm is analyzed.To sum up,the research work of this paper has extremely important theoretical value and social benefits.