矿井通风系统优化的熵模糊可拓物元决策模型

Fuzzy Extension Matter-element Model Based on Entropy Weight in Optimization of Mine Ventilation Systems

针对矿井通风系统优化评判中各指标的不相容性,从技术可行、经济合理和安全可靠性3个角度出发,选用矿井总风压、等积孔、风机效率、风机运转稳定性、矿井抗灾变能力等指标,将信息熵与模糊可拓物元相结合,建立了基于熵权的矿井通风系统优化的模糊可拓物元决策模型。结合专家打分法与熵值赋权法确定指标的权重,以综合相对隶属度优选综合效益最优的方案。用该模型对张小楼井通风系统改造方案进行优选,并与模糊综合评判和模糊优选法的结果进行了比较。结果表明,综合权重客观准确,综合相对隶属度的离散程度高,对新矿井的通风设计或老矿井的系统优化改造具有实用价值。

Focusing on the incompatibility with each factors of optimization and evaluation of mine ventilation systems, the fuzzy extension matter-element model based on entropy weight for optimizing tire mine ventilation systems scheme was established from the three aspects including technical feasibility, economical rationality, and safety reliability; the model inc＇,lude 12 indexes, such as mine total wind pressure, equivalent orifice, fan efficiency, stability of fan functioning, mine anti-accident ability, etc. Indexes weights were calculated by the expert estimation combined with itffomlation entropy, tile optimum scheme of emnprehensive benefits was determined by a comprehensive relative membership degree. Furthermore, the model was used to evaluate and optimize the schemes of mine ventilation system reconstruction in Zhangxiaolou Mine and was compared with the result of fuzzy comprehensive evaluation. The results show that a comprehensive weight is more objective and accurate, the comprehensive relative membership degree has a good dispersion, and they possess utility value for the ventilation design of new mines and the ventilation system reconstruction of production mines.