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作 者:李忠[1] 张德强[2] 张进德[2] 张丽娟[3] 武强[3]
机构地区:[1]防灾科技学院,河北三河市065201 [2]中国地质环境监测院,北京100081 [3]中国矿业大学,北京100083
出 处:《矿业研究与开发》2008年第6期16-19,共4页Mining Research and Development
基 金:国土资源部重大计划项目(2006-018-1)
摘 要:影响采空区稳定性的因素是多方面的。而信息融合技术可以充分利用多源信息的互补性、综合性,极大地提高评价指标信息的质量和可信度。利用信息融合的理论和方法,建立了煤矿采空区稳定性评估的数学模型,给出了基于D-S证据理论的多源信息分析、处理、分配、融合等信息处理步骤,结合G IS的强大图形处理能力,快速生成成果图。通过对某矿区预测的实际应用,获得了满意的效果,证明了该模型的有效性和实用性。The factors that can influence goaf stability of coal mine exist in many aspects. Yet, the technology of information fusion can make good use of the mutual compensatory and integration of multi - source information, so greatly improve the information quality and reliability of evaluation indexes. The paper establishes a mathematical evaluation model of goaf stability for coal mine based on the theory and methods of data fusion. Basing on the D- S evidential theory, it also presents the muhi - source information processing procedures, including its analysis, processing, distribution, fusion and so on. This method can fast generate a result map by means of the powerful graphic processing capacity of GIS. This method has been applied to forecast goaf stability in a certain coal mining area, and a satisfying resuh has been obtained, also has proved that this model is effective and practical.
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