摘要
结合数据融合综合处理信息的特点和云模型定性与定量相结合的信息处理方法,分析了选煤厂计算机现代集成制造系统(CIMS)环境的特点,提出了选煤厂CIMS环境下数据融合的体系结构,详细分析了3个分系统基于云模型的数据融合过程,创建了各个分系统云模型数据融合的模型图,同时提出了各个分系统的数据融合采用的方法及其云模型算法。通过算法仿真实验表明选煤厂采用云模型数据融合的方法对其控制生产过程有较大改进。
According to the characteristics of data fusion integrated treatment information and cloud model combining qualitative and quantitative information processing method,coal preparation plant Computer Integrated Manufacturing Systems（CIMS） environment is analyzed,and data fusion architecture of coal preparation plant CIMS environment is proposed.Data fusion process of three subsystems based on cloud model are analyzed and their model diagrams are established.Data fusion approach and cloud model algorithm of each subsystem are proposed.Simulation results indicate that the cloud model can improve the control on the production process by data fusion method.
出处
《信息与电子工程》
2012年第2期237-241,共5页
information and electronic engineering
关键词
云模型
数据融合
CIMS环境
云神经网络
云遗传算法
cloud model
data fusion
Computer Integrated Manufacturing Systems
cloud neural network
cloud genetic algorithm
