摘要
为使煤矿生产系统智能化评估更科学,提出了基于博弈论的煤矿生产系统智能化GRA-KL-TOPSIS评价模型。基于全要素、全流程理论,从综采、综掘、运输、综合保障和安全监控功能5个方面构建了生产系统智能化综合评价指标体系;利用G1法、改进CRITIC法和博弈论确定指标综合权重,引入盲数理论改进专家给指标赋值的处理方法,应用GRA-KL-TOPSIS方法,通过计算灰色关联贴近度,实现生产系统智能化排序和评估。以3座煤矿为例进行分析,将所建模型的评价结果与VIKOR模型评估结果对比,并基于雷达图法分析子系统智能化差异。结果表明,所建的模型能客观评估煤矿生产系统智能化水平,评估结果与实际调研结论一致,验证了该模型的适应性,可为煤矿生产系统智能化程度的量化评价提供新思路。
In order to make the evaluation on intelligence of coal mine production systems more scientific,a GRA-KL-TOPSIS evaluation model based on game theory was proposed.Firstly,based on the theory of all factors and processes,a comprehensive evaluation index system for the intelligence of production system was constructed from five aspects,including fully mechanized mining,comprehensive excavation,transportation,comprehensive support,and safety monitoring functions.Secondly,the G1 method,improved CRITIC method,and game theory ideas were integrated to determine the comprehensive weights of indexes.Blind number theory was introduced to improve the processing method of experts assigning values to indexes.The GRA-KL-TOPSIS method was applied to calculate the grey correlation closeness degree,achieving intelligent sorting and evaluation of production systems.Finally,taking three coal mines as examples for analysis,the results were compared with the VIKOR model evaluation results,and the intelligent differences of the subsystems were analyzed based on the radar graph method.The results indicate that the model can objectively evaluate the intelligence level of production systems,and the evaluation results are consistent with actual research conclusions,verifying the adaptability of the model.The study can provide ideas for the quantitative evaluation of the intelligence level of coal mine production systems.
作者
褚新胜
盛高永
张海云
CHU Xinsheng;SHENG Gaoyong;ZHANG Haiyun(Linyi Huibaoling Iron Mine Co.,Ltd.,Linyi,Shandong 277712,China;Changsha Institute of Mining Research Co.,Ltd.,Changsha,Hunan 410012,China;National Engineering Research Center for Metal Mining,Changsha,Hunan 410012,China)
出处
《矿业研究与开发》
CAS
北大核心
2024年第9期194-203,共10页
Mining Research and Development
基金
国家重点研发计划项目(2022YFC2905102)。