The Design And Implementation Of Integrated Multi Parameter Early Warning Platform Of Coal Mine In Big Data Environment

Rockburst is one of the most serious natural disasters in the world.When the rockburst occurs,a few meters to hundreds of meters of the roadway or working face can be instantly destroyed.Coal and rock will be thrown,which causes bracket breakage,tunnel blockage and makes a loud noise and vibration.Because of the light focus,the rockburst intensity is far greater than the natural earthquake intensity.Therefore,how to design an effective and real-time method of coal mine rockburst monitoring and early warning is a hot issue in the research field of coal mine disaster prevention.With the rapid development of computer and Internet technology,implementation the remote monitoring of rockburst in coal mine by means of information recieves more and more attention in this field of experts.In this thesis,it designs and implements an integrated multi parameter early warning platform of coal mine in big data environment,and makes field application in Datong coal mine.Based on the actual needs of the mining area,this thesis designs the hardware deployment architecture and software implementation architecture.By communicating from wired to wireless through hardware on platform,it can realize the data transmission from the monitoring station to the center server,and server to cluster big data center.The software part of acquisition platform is consisted of three parts which are data conversion module,magnitude calculation and orientation module and visual interactive interface.Bottom data conversion module is used to process the data collected by the high frequency microseismic signal sensor and normalize the data to generate data files and GPS files that can be directly used by the program;After the background magnitude and positioning calculation module get two files,used the source location based on the time window and magnitude calculation method,taking 10 s as a time window,Real-time monitoring the coal mine,at the same time,the calculated magnitude and position data are handed over to the visual interface of the upper layer;The visual interface is designed by B/S architecture,and the result file is read at the same frequency as sampling.The monitoring data of coal mine rock burst are displayed in real time through the browser,and they are analyzed by using the broken line graph and the histogram,which provide strong support for the early warningIn this thesis,according to the software development process,we will described it in detail from four stages,which is the demand analysis,platform design,platform implementation and platform testing.