A new approach for selecting best development face ventilation mode based on G1-coefficient of variation method

Abstract

The current popular methods for decision making and project optimisation in mine ventilation contain a number of deficiencies as they are solely based on either subjective knowledge or objective information. This paper presents a new approach to rank the alternatives by G1-coefficient of variation method. The focus of this approach is the use of the combination weighing, which is able to compensate for the deficiencies in the method of evaluation index single weighing. In the case study, an appropriate evaluation index system was established to determine the evaluation value of each ventilation mode. Then the proposed approach was used to select the best development face ventilation mode. The result shows that the proposed approach is able to rank the alternative development face ventilation mode reasonably, the combination weighing method had the advantages of both subjective and objective weighing methods in that it took into consideration of both the experience and wisdom of experts, and the new changes in objective conditions. This approach provides a more reasonable and reliable procedure to analyse and evaluate different ventilation modes.

摘要

现有的矿山通风决策和优化方法往往是基于单一的主观经验或客观信息, 不能将两者很好地结合起来进行考虑。 论文提出了一种基于 G1-变异系数法的优选方法, 利用组合赋权, 弥补评价指标单一赋权的缺陷。 在实例研究中, 建立了合理的评价指标体系, 利用评价模型计算得出各备选通风模式的评估值, 根据总的评估值来选择最优巷道掘进面通风方式。 研究结果表明, 该方法能够对掘进面通风方式备选方案进行合理排序, 既具有主客观赋权方法的优点, 又兼顾了专家的经验和智慧, 以及客观条件的新变化。 利用该方法进行掘进工作面通风方式分析、 评价更为合理和可靠。