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首页> 外文会议>International Symposium on Mine Planning and Equipment Selection >Use of FEM, Fuzzy Logic and Virtual Reality in the underground activities--Application to the longwall mining works
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Use of FEM, Fuzzy Logic and Virtual Reality in the underground activities--Application to the longwall mining works

机译：在地下活动中使用FEM，模糊逻辑和虚拟现实 - 在Longwall采矿工程中的应用

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The private-owned mining company CARBONAR S.A. is mining a coal seam, “Capa Ancha”, with a thickness sometimes over 4 meters, using a high productivity long panel equipped with a double drum shearer and a powered roof support. Last year 2003 Carbonar company signed an important research contract (financed by CDTI, Technological and Industrial Development Centre of the Spanish Ministry of Industry) with the University of Oviedo (GIMOC, Mine Engineering and Civil Works Research Group) and the Industrial Automation Institute from the Scientific Research High Council (belonging to the Spanish Ministry of Education and Science) with the objective to study the “Intelligent mining and roof support of the installation”. A deep measurement campaign has been developed that, at the present stage, after two and a half coal panels worked, totalize 165.000 measured parameters that are processed through statistical and 2-3D design graphics software. Later on we have started the 2-3D design of the roof support through FEM, then the 4D modelling (stress and deformation calculation in specific moments as the model moves) and finally the development of static and dynamic animations. Recent developments in the Artificial Intelligence and the 3D Interactive Visualization fields and especially the application of techniques based on Fuzzy Logic will allow the incorporation of the human knowledge and experience (sometimes inexact and diffused), the results of the measurement campaigns and the modelling developed, all together inside the research project with no need for the development of conventional complex mathematical expressions, main reason some times for the lack of positive results on this field. This R+D project bets on the synthesis of the referred technologies on the benefit of security and productivity and therefore the cost reduction of the underground mining activities.
机译：私营企业公司Carbonar S.A.正在挖掘煤层，“Capa Ancha”，厚度有时超过4米，使用具有双鼓采煤机和动力屋顶支架的高生产率长面板。去年2003年Carbalar公司签署了一个重要的研究合同（由CDTI，工业工业发展中心的西班牙工业部）与Oviedo大学（Gimoc，Line Engineering Andion Works Group Group）和工业自动化研究所有大学科研高等委员会（属于西班牙教育和科学）目的探讨“安装智能采矿和屋顶支撑”。已经开发了一个深度测量运动，在本阶段，经过两个半煤面板工作，占通过统计和2-3D设计图形软件处理的165.000个测量参数。后来我们已经开始了通过有限元素的屋顶支持的2-3D设计，然后是4D建模（在特定时刻的压力和变形计算为模型移动），最后开发静态和动态动画。人工智能和3D交互式可视化领域的最新进展尤其是基于模糊逻辑的技术应用，允许纳入人类知识和经验（有时不精确和扩散），测量运动的结果和开发的建模，全部在研究项目内部没有必要开发传统复杂的数学表达，主要原因是某些时候缺乏积极的结果。该R + D项目投注了对安全性和生产力的益处的综合技术，从而降低了地下采矿活动的成本。

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