In order to make a synthetic assessment about filling schemes optimization,the synthetic assessment index system of filling scheme was established according to the analytic hierarchy process (AHP) and TOPSIS methods.Based on the four filling schemes optimization in a metal mine,considering the economic,technical, security and etc,which influenced the evaluation indexes (filling difficulty level,roof-contacted filling level, settlement of filling body,strength of filling body,etc)of filling schemes,the influence factor indexes of the filling schemes were transformed into multi-factor decision matrix;the weight of the influence factors matrix were gotten according to the AHP method,and then,the AHP-TOPSIS multi-factor decision model was established with the fundamental theory of TOPSIS,and the synthetic superior degree of the four filling schemes were obtained.The research results show that the synthetic superior degree of filling schemes are 36.2%,85.2%,57.6%,32.0%, respectively,according to the method,and thus determine the second scheme (consolidated filling method) is the optimal one.The optimization scheme is consistent with an actual mining,filling effect is good.Practical application shows that the decision model provides a new method to the filling schemes optimization.%为对多种充填方案进行评判优选,建立了一种基于层次分析法(AHP)和逼近理想解的排序法(TOPSIS)相结合的综合评判指标体系。以某金属矿4种充填方案的选择为基础,从经济、技术及安全等方面综合考虑影响充填方案的评判指标(充填工艺难易度、充填接顶程度、充填体沉降度和充填体强度等),将待选方案指标转换成多因素决策矩阵,再通过层次分析法得到各因素权重向量,进而结合逼近理想解的排序法原理构建 AHP-TOPSIS 的多因素决策模型,得出4种方案的综合优越度。研究结果表明:4种充填方案的优越度分别为36.2%,85.2%,57.6%,32.0%,从而确定第2种方案(废石胶结充填法)为最优。将该优选方案应用于某实际矿山,充填效果良好。应用实践表明该决策模型可为充填方案优选提供一种全新思路。
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机译:作为基于PC的测量供应商超过20年的经验,探索ni独有的基于PC的测量的吸引力近年来,许多测量仪器制造商开始使用“基于PC的测量”这一术语。美国国家仪器公司(National Instruments,以下简称ni)是基于pc的测量市场的先驱,其为基于pc的测量提供了称为“ pc + pc接触式/插入式测量仪”的解决方案已有20多年的历史了。在这里,我们询问了基于PC的测量的吸引力,这是nl所独有的。