發(fā)布時(shí)間：2018-05-08 18:21

  本文選題：微震監(jiān)測(cè)系統(tǒng) + 礦山地質(zhì)災(zāi)害　； 參考：《武漢科技大學(xué)》2013年碩士論文

【摘要】：隨著地下礦山開(kāi)采深度日益增加，開(kāi)采難度也逐漸加大，再加上礦山特殊的作業(yè)環(huán)境、復(fù)雜的地質(zhì)情況，導(dǎo)致了各種各樣的災(zāi)害事故，如塌陷、泥石流、冒頂、片幫、突水等，給礦山企業(yè)及人們的生命財(cái)產(chǎn)安全帶來(lái)了嚴(yán)重的威脅。 利用微震監(jiān)測(cè)技術(shù)的原理，，針對(duì)金山店鐵礦的實(shí)際開(kāi)采情況，將整套實(shí)時(shí)在線(xiàn)微震監(jiān)測(cè)系統(tǒng)布置在西區(qū)-340m水平，橫縱方向共布置了16通道的傳感器，通過(guò)Labview軟件的強(qiáng)大圖形化編程能力，實(shí)現(xiàn)微震動(dòng)信號(hào)的采集、信號(hào)儲(chǔ)存、信號(hào)讀取、信號(hào)分析處理等功能。 通過(guò)對(duì)采集信號(hào)的經(jīng)驗(yàn)分析直觀的得出波形的幅值、持續(xù)時(shí)間、間隔時(shí)間、形狀分布等特征值，從中可以反映出爆破事件和小能量事件對(duì)巖體的破壞程度不會(huì)引起災(zāi)害。通過(guò)波形的頻譜分析得出信號(hào)的瞬時(shí)頻率、能量比值，及頻率出現(xiàn)的最大可能值為100HZ和150HZ。最后，將兩種方法結(jié)合總結(jié)出波形特征值，再將支持向量機(jī)方法與經(jīng)驗(yàn)?zāi)B(tài)分解法相結(jié)合，預(yù)測(cè)出波形特征值的發(fā)展趨勢(shì)，得出此階段此區(qū)域發(fā)生頂板冒落、坍塌、泥石流事故的可能性很小。 此外，由于此套微震監(jiān)測(cè)系統(tǒng)在金山店鐵礦投入運(yùn)行的時(shí)間短暫，還需要更長(zhǎng)期的現(xiàn)場(chǎng)監(jiān)測(cè)數(shù)據(jù)，以便將來(lái)更加準(zhǔn)確的分析預(yù)測(cè)礦山地質(zhì)災(zāi)害。
[Abstract]:With the increasing mining depth of underground mines, the difficulty of mining has gradually increased. In addition, the special working environment and complex geological conditions of the mines have led to various disasters and accidents, such as collapse, debris flow, roof fall, cover, water inrush and so on. It has brought serious threat to the safety of mine enterprises and people's life and property. Based on the principle of microseismic monitoring technology and in view of the actual mining situation of Jinshandian Iron Mine, the whole set of real-time on-line microseismic monitoring system is arranged at the level of -340 m in the western region, and 16 channels of sensors are arranged in the horizontal and longitudinal direction. Through the powerful graphical programming ability of Labview software, the functions of signal acquisition, signal storage, signal reading, signal analysis and processing are realized. The characteristic values such as amplitude, duration, interval time, shape distribution and so on are obtained from the empirical analysis of the collected signals, which can reflect that the damage degree of rock mass caused by blasting events and small energy events will not cause disaster. The maximum possible values of the instantaneous frequency, the ratio of energy to the frequency and the frequency of the signal are 100HZ and 150HZ by the spectrum analysis of the waveform. Finally, the two methods are combined to sum up the waveform eigenvalues, and then the support vector machine (SVM) method is combined with the empirical mode decomposition method to predict the development trend of the waveform eigenvalues, and it is concluded that the roof caving and collapse occur in this area at this stage. The probability of debris flow accident is very small. In addition, since the microseismic monitoring system was put into operation in Jinshandian Iron Mine for a short time, more long-term monitoring data are needed for more accurate analysis and prediction of mine geological hazards in the future.
【學(xué)位授予單位】：武漢科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：TD76

【參考文獻(xiàn)】

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本文編號(hào)：1862497