基于组合赋权和云模型的工业通信质量评估  

Industrial communication quality evaluation based on combination weighting and cloud model

作　　者：孟凡宇 刘明哲[1,2,3] 徐皑冬[1,2,3] 金妮[1,2,3] MENG Fan-yu;LIU Ming-zhe;XU Ai-dong;JIN Ni(Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016,China;Industrial Control Network and System Department,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China;School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院网络化控制系统重点实验室,辽宁沈阳110016 [2]中国科学院沈阳自动化研究所工业控制网络与系统研究室,辽宁沈阳110016 [3]中国科学院机器人与智能制造创新研究院,辽宁沈阳110169 [4]中国科学院大学计算机科学与技术学院,北京100049

出　　处：《计算机工程与设计》2023年第1期22-29,共8页Computer Engineering and Design

基　　金：国家重点研发计划基金项目(2018YFB1702200)。

摘　　要：针对工业通信网络缺少通信质量评估方法的现状,提出基于组合赋权和云模型的工业通信质量评估方法。结合工业通信网络的背景,选取8个工业通信指标建立工业通信网络评价体系。运用最优传递矩阵改进的层次分析法和变异系数法分别计算指标的主观权重和客观权重,基于离差最大化思想进行组合赋权,避免单一确权方法计算指标权重的片面性。结合云模型将指标权重量化为评价等级,直观地反映评价结果。仿真结果表明,该方法能够有效地评价工业通信质量。In the view of the lack of communication quality evaluation methods in industrial communication networks,an industrial communication quality evaluation system with eight indicators was established combined with the background of industrial communication networks.The improved analytic hierarchy process and the coefficient of variation method were used to calculate the subjective and objective weights of indicators respectively.Maximum deviation method was used to combine these two kinds of weights,which avoided the one-sidedness of single method.Indicator weights were converted into evaluation grades with cloud model to show the comprehensive evaluation results intuitively.The simulation results indicate that the proposed method can effectively evaluate the communication quality of industrial communication networks.

关 键 词：工业通信网络 工业通信质量评估 最优传递矩阵 改进层次分析法 离差最大化 组合赋权 云模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]