煤矿巷道围岩松动圈智能预测研究  

Study on Intelligent Prediction of Broken Rock Zone Thickness of Coal Mine Roadways

作　　者：许国安[1] 靖洪文[1] 

机构地区：[1]中国矿业大学建筑工程学院,江苏徐州221008

出　　处：《中国矿业大学学报》2005年第2期152-155,共4页Journal of China University of Mining & Technology

基　　金：国家自然科学基金项目(50474063);国家自然科学基金重大项目(50490273)

摘　　要：针对煤矿巷道围岩松动圈厚度值获取难的问题,采用新兴的智能预测方法(自适应神经模糊推理),在MATLAB6.5平台上开发了集松动圈预测系统创建和应用于一体的智能预测软件.利用该软件对平煤集团十二矿巷道围岩松动圈厚度进行预测,然后与实测值对比,结果显示预测结果与实测值吻合较好,从而验证了本文创建的智能预测系统的有效性,它为松动圈值的获取提供了一条新途径.Considering the problem of obtaining the thickness of broken rock zone, a booming intelligent prediction method with ANFIS (adaptive neuro-fuzzy inference system) was introduced into the thickness prediction. A stand-alone program with functions of creating and applying prediction systems was designed on the platform of MATLAB6.5. Then the program was used to predict the broken rock zone thickness of dips in 12th coal mine, Pingdingshan Group Company of Coal Industry. The results show that the predicted values accord well with the in-situ measured ones. Thereby the validity of the program is validated and it can provide a new approach to obtaining the broken zone thickness.

关 键 词：煤矿巷道 围岩松动圈 巷道围岩 智能预测 平煤集团 显示 MATLAB6 模糊推理 软件 自适应 

分 类 号：TD353[矿业工程—矿井建设] TP183[自动化与计算机技术—控制理论与控制工程]