基于巖體動態(tài)裂縫識別的礦井預(yù)警系統(tǒng)
本文關(guān)鍵詞: 礦井預(yù)警 動態(tài)裂縫 無線通信 人員定位 出處:《江西理工大學(xué)》2013年碩士論文 論文類型:學(xué)位論文
【摘要】:以基于巖體動態(tài)裂縫識別的礦井預(yù)警系統(tǒng)作為選題,,其目的在于解決當(dāng)前在冶金礦山開采過程中因巖體裂縫形變導(dǎo)致礦井坍塌的預(yù)警能力不足,及事故發(fā)生之后救援工作效率較低的問題。 本文將DSP技術(shù)與RFID技術(shù)應(yīng)用到礦井預(yù)警系統(tǒng)之中,詳細(xì)論述了礦井預(yù)警系統(tǒng)實(shí)現(xiàn)巖體動態(tài)裂縫識別功能與無線定位功能的具體設(shè)計(jì)方案,并論證了系統(tǒng)的可行性。重點(diǎn)對井下智能監(jiān)測分站內(nèi)部結(jié)構(gòu)進(jìn)行了設(shè)計(jì):以高性能的DM642芯片為核心,采用模塊化結(jié)構(gòu),結(jié)合軟件可以實(shí)現(xiàn)巖體圖像的采集、存儲及處理等功能;利用射頻單元,通過無線傳輸方式,實(shí)現(xiàn)了用于定位識別的數(shù)據(jù)的發(fā)射、接收及存儲,采用RS485總線方式連接井下各智能監(jiān)測分站,將采集到的井下作業(yè)人員位置信息傳至地面管理層,實(shí)現(xiàn)無線定位。針對巖體本身的特點(diǎn)以及礦井惡劣的環(huán)境,采用一般的圖像增強(qiáng)方法很難有效的獲得巖體特征信息。分析同一區(qū)域不同時(shí)間段采集到的巖體圖像,設(shè)計(jì)了一種適合巖體圖像的預(yù)處理方法,能夠有效的將特征區(qū)域從巖體圖像背景中分離出來,方便之后的處理。針對巖體圖像本身的多紋路性特征,為了提高處理結(jié)果的最終精度,設(shè)計(jì)了一種逐行滑動鄰域取最小值法對其進(jìn)行特征提取,并提出了一種塊分割方式來對動態(tài)裂縫特征區(qū)域進(jìn)行判定,實(shí)現(xiàn)巖體動態(tài)裂縫的準(zhǔn)確識別,降低了礦井巖體坍塌帶來的危險(xiǎn)系數(shù)。 實(shí)驗(yàn)結(jié)果表明,該系統(tǒng)能夠自動完成信息采集、處理及傳輸?shù)认嚓P(guān)操作,無須人工干預(yù),各項(xiàng)性能指標(biāo)滿足設(shè)計(jì)要求;具有一定的通用性與社會價(jià)值。
[Abstract]:Taking the mine early warning system based on dynamic fracture identification of rock mass as the topic, its purpose is to solve the shortage of early warning ability of mine collapse caused by rock mass crack deformation in metallurgical mining process. And the problem of low efficiency of rescue work after the accident. In this paper, DSP technology and RFID technology are applied to mine early warning system, and the specific design scheme of realizing dynamic fracture identification function and wireless positioning function of rock mass early warning system is discussed in detail. The feasibility of the system is demonstrated. The internal structure of the underground intelligent monitoring sub-station is mainly designed. With the high performance DM642 chip as the core, the modular structure is adopted and the software can realize the collection, storage and processing of rock mass images. By using radio frequency unit and wireless transmission mode, the transmission, receiving and storage of the data used for location identification are realized, and the RS485 bus is used to connect the intelligent monitoring sub-stations underground. The collected location information of underground operators is transmitted to the ground management to achieve wireless positioning. In view of the characteristics of rock mass and the harsh environment of the mine, It is difficult to obtain rock mass characteristic information effectively by using general image enhancement method. A preprocessing method suitable for rock mass image is designed by analyzing the rock mass image collected in different time periods in the same area. The feature area can be effectively separated from the background of rock mass image to facilitate the subsequent processing. In order to improve the final accuracy of the processing result, aiming at the polymorphic feature of rock mass image itself, In this paper, a method of extracting feature by row by line sliding neighborhood minimum value is designed, and a block segmentation method is proposed to judge the characteristic region of dynamic fracture, and to realize the accurate identification of dynamic fracture of rock mass. The dangerous coefficient caused by rock collapse is reduced. The experimental results show that the system can automatically complete the information collection, processing and transmission and other related operations, without manual intervention, each performance index meets the design requirements, and has certain universal and social value.
【學(xué)位授予單位】:江西理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TD76
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