【摘要】：在利用CT層析成像方法重構(gòu)回采工作面內(nèi)地質(zhì)構(gòu)造等異常區(qū)分布時,受回采工作面客觀條件影響,投影角度有限,只能采用一邊發(fā)射信號對邊接收的方法,導致投影數(shù)據(jù)不完備,系數(shù)矩陣高度稀疏,從而無法精確重構(gòu)出工作面內(nèi)部的地質(zhì)構(gòu)造及其分布.針對該問題,本文提出一種新的基于總變分正則化的先驗約束加奇點模型重構(gòu)算法,通過加入回采工作面兩巷揭露的地質(zhì)信息作為先驗約束條件,同時對特定區(qū)域引入奇點模型以提高反演精度,銳化斷層影響區(qū)域的邊界.經(jīng)過數(shù)值計算和回采工作面現(xiàn)場試驗,證明該算法能顯著提高重構(gòu)圖像的精度,銳化斷層影響區(qū)域的范圍,顯著改善異常區(qū)的識別效果.
[Abstract]:When CT tomography is used to reconstruct the distribution of geological structure and other abnormal areas in the mining face, due to the influence of the objective conditions of the mining face and the limited projection angle, the method of transmitting signals and receiving the signals on the other side can only be adopted. Because of incomplete projection data and sparse coefficient matrix, the geological structure and its distribution inside the face can not be reconstructed accurately. In order to solve this problem, this paper presents a new algorithm for reconstruction of priori constraint plus singularity model based on total variation regularization, which takes geological information exposed in two roadways of mining face as a priori constraint condition. At the same time, the singular point model is introduced to the specific area to improve the inversion accuracy and sharpen the boundary of the area affected by fault. Through numerical calculation and field test of mining face, it is proved that the algorithm can significantly improve the accuracy of reconstructed image, sharpen the area affected by fault, and improve the recognition effect of abnormal area.
【作者單位】： 中國礦業(yè)大學礦業(yè)工程學院煤炭資源與安全開采國家重點實驗室;
【基金】：國家自然科學基金青年基金項目(51004102)
【分類號】：TD166

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