矿井通风网络角联风路自动识别与分析

A NEW APPROACH TO AUTOMATIC IDENTIFICATION OF DIAGONAL BRANCHES IN A COMPLICATED MINE VENTILATION NETWORK

介绍国内外矿井角联风路判断研究的概况 ,分析矿井通风网络角联风路自动识别的数学模型 ,用角联风路自动识别系统 ,对矿井角联风路进行了自动识别和分析。矿井通风网络角联风路自动识别系统为判断复杂网络或风路中的角联风路提供了准确的。

The present paper introduces a new method on easier identification of diagonal branches in a complicated mine ventilation network, in which a mathematical model of automatic identification is discussed emphatically. The general practice in this way is done by using an automatic identification software named MVSS, suggested in the diagonal theory with a seven element group structure, for the structure is easier to be recognized by the computer program. The adoption of the theory and structure by the authors in the Second Mine Area of Jinchuan Mine has been proved successful in the 161 branches of the mine. Among them 94 diagonal branches and 67 identification branches are arranged. Of the 12 stations four are arranged diagonally and the others - in the identification mode. The above automatic identification system has been used for years and proves to be able accurate and appropriate in providing efficient and convenient identification in case of the complicated diagonal branch network.