Font Size: a A A

Underground Coal And Rock Gas Dynamic The Disaster Detection Technology Research And Application

Posted on:2014-05-04Degree:MasterType:Thesis
Country:ChinaCandidate:E L ZhangFull Text:PDF
GTID:2251330422460755Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
Relatively complex geological and geomorphological features, underground coal reservesaccount for more than95%of China’s total coal. Small proportion of shallow coal seams inunderground coal mines, mostly buried very deep. Therefore, in the process of underground coalmining, often occur dynamic disasters, including prominent coal gas, gas explosion, roof fall,outstanding water event. And dynamic disasters tend to have sudden, violent destructionphenomenon occurs in a very short period of time.This caused great difficulties for the safeproduction of coal, but also endanger the lives and safety of miners and economic losses. XinwenMining original Yuanquangou coal mine did not research background, mainly to study themechanism of coal and gas outburst and find solutions. This article to the combined effects ofhypothesis to explain the principle of gas outburst, combined with modern acoustic emissiontechnology research tools, the use of acoustic emission detection technology area of monitoringrequired for continuous, real-time monitoring, combined with a software analysis and processingeventually come to monitoringthe region of outstanding possibilities, and to guide the constructionof outburst prevention measures.The main contents include the following aspects:一、The first describes the conduct of theresearch background, while the simple introduction of the common coal and gas outburstprediction methods. Final round of the text used the most advanced scientific continuousmonitoring of the dynamic non-contact method, which can effectively monitor almost all of theacoustic emission signals of acoustic emission source positioning more accurate;二、According combined effect hypothesis, the outburst of the process is divided into five phases,and the various processes carried out a detailed analysis. In the process of the change of stresschange, gas concentration, as well as the change of acoustic emission are studied, for the applicationof monitoring system, provides the theory support;三、ESG offers an MMS using microseismsmonitoring system,24hours a day on the data acquisition, processing, strength to overcomethe traditional methods, complex operation, accurate prediction is not precise enough, can notachieve real-time monitoring, to prevent non-gas outburst occurred during the monitoring period.Of this thesis for the original Yuanquangou mine established monitoring system for minehigh stress area, highlighting the surrounding rock rupture monitoring, positioning, and timelyanalysis; once again based on the means of scientific computing, of monitoring information analysis,processing, establish a set of theoretical basis of the time coal and gas outburst forecast analysissystem, lay the foundation for the long-term forecast of the mine dynamic disaster.Because the system just created, and coal seam gas mining are not emission few microseismevents, but analysis of microseism monitoring data, timely capture of coal and rock caused by themining activities vibration events for press activities monitoring, as well as provide a wealth ofexperience outburst forecast.
Keywords/Search Tags:Dynamic disasters, Coal and gas outburst, Acoustic Emission(AE), BP neuralnetwork, Risk prediction
PDF Full Text Request
Related items