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充填智能控制系统成熟度量化评价模型研究

Research on Quantitative Evaluation Model for Maturity of Filling Intelligent Control System
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摘要 为科学合理评估充填智能控制系统运行状态,建立了基于博弈论-后悔理论的充填智能控制系统成熟度综合评价模型。首先,基于成熟度理论,从料浆制备、管路输送、强度监测和系统可视化4个方面选取了16个评价指标,构建了矿山充填智能控制系统成熟度综合评价体系;其次,运用博弈论思想确定指标综合权重,通过计算总评估值,对待评对象进行评价;最后,以某铁矿为例,确定充填智能控制系统成熟度等级,并与模糊综合评价模型和物元可拓评价模型得到的评价结果比较。结果显示,该矿山充填智能控制系统成熟度等级为Ⅳ级,三种评估模型的评价结果完全一致,验证了本文模型在充填智能控制系统成熟度评估方面具有适用性和可靠性,可以为系统评估和改进提供理论参考。 To scientifically and reasonably evaluate the operational status of the filling intelligent control system,a comprehensive evaluation model for the maturity of the filling intelligent control system based on game theory and regret theory was established.Firstly,based on the maturity theory,16influencing factors were selected from four aspects,including slurry preparation,pipeline transportation,strength monitoring,and system visualization,and a comprehensive evaluation system for the maturity of the filling intelligent control system was constructed.Secondly,game theory was used to determine the comprehensive weights of indicators,the evaluation of the target was carried out by calculating the total evaluation value.Finally,taking a certain iron mine as an example,the maturity level of the filling intelligent control system was determined and compared with the results of fuzzy synthesis and matter element extension.The results show that the maturity level of the filling intelligent control system in the mine is levelⅣ,and the conclusions of the three evaluation models are completely consistent.The results have verified the applicability and reliability of this model in the maturity evaluation of the filling intelligent control system,and can provide a theoretical reference for system evaluation and improvement.
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 Mining Research Institute Co.,Ltd.,Changsha,Hunan 410012,China;Research Center for National Metal Mining Engineering Technology,Changsha,Hunan 410012,China)
出处 《矿业研究与开发》 CAS 北大核心 2024年第6期189-197,共9页 Mining Research and Development
基金 国家重点研发项目(2022YFC2905102)。
关键词 矿山充填 智能控制系统 博弈论 后悔理论 成熟度 Mine filling Intelligent control system Game theory Regret theory Maturity
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