面向涌现的造纸干燥系统多Agent分析及优化建模的研究

This project research on：1,Research the Agent granularity and basic network of thermodynamic system through system decomposition according to the thermophysical property and System function, on which based on the heat energy micro variable attributes and their relationship,energy saving space in the paper making drying thermal system; 2, What will be measured and can be derived thermal physical parameters of system energy node t, in the form of variable attributes and behaviors, set encapsulated into the micro Agent system model;3, Through microscopic Agent export, or based on the system thermal physical emergence properties analysis system macroscopic thermal variables attribute collection, researching system macroscopic configuration;4,Building system micro - macro thermodynamic evolution mechanism based on Muti-dimentional game to control the optimization thermal energy behavior of drying Muti-Agent system,and to inverse push emerge the Agent's evolution stable strategy by Muti-Agents' evolutionary game of heat energy subnet in the three dimensions space of thermodynamic system that cosist of steam, water, electricity.Four content to build three dimentional thermal system analysis and optimization modeling method, to reveal some problem of papermaking drying system in the evolution of thermodynamics from localto global,in order to obtain the desired macro, global optimization characteristics of the thermal system. This project is the basic research of system energy saving, to analyze the dynamic characteristics and research the energy optimization mechanism of complex paper making drying process thermal system by applied information science and system science, And research its energy optimization mechanism.If this theory applied to guide the industrial application.the energy saving effect will reach more than 16%.

项目研究1、分析造纸干燥系统微观的热能变量属性及之间的关系和节能空间，基于系统功能和热物理特性进行系统分解，研究Agent的粒度和系统网络结构；2、将系统能量节点内可测量或可推导的热物理参数，以变量属性和行为集合形式封装成Agent微观模型；3、通过微观Agent导出或根据系统热物理涌现特性分析，得出系统宏观热能变量属性集合，研究系统宏观构型；4、基于多维博弈理论构建系统微-宏观热力学演化机制，控制干燥多Agent系统涌现热能优化行为；由热能子网的多Agent不断演化博弈，逆推出系统的稳定演化策略。四点内容构建三维热力系统分析和优化建模方法，揭示造纸干燥系统从局部到全局的热力学演变中的一些问题，获得期望的整体热力系统优化特性。 本课题是系统节能的基础研究，将信息科学、系统科学交叉应用到造纸干燥热力系统，分析其动态特性和研究其能量优化机制。如用该理论指导工业应用，预计的节能效果达16%以上。

本项目研究1、分析造纸干燥系统微观的热能变量属性及之间的关系和节能空间，基于系统功能和热物理特性进行系统分解，研究Agent的粒度和系统网络结构；2、将系统能量节点内可测量或可推导的热物理参数，以变量属性和行为集合形式封装成Agent微观模型；3、通过微观Agent导出或根据系统热物理涌现特性分析，得出系统宏观热能变量属性集合，研究系统宏观构型；4、基于多维博弈理论构建系统微-宏观热力学演化机制，控制干燥多Agent系统涌现热能优化行为；由热能子网的多Agent不断演化博弈，逆推出系统的稳定演化策略。四点内容构建三维热力系统分析和优化建模方法，揭示造纸干燥系统从局部到全局的热力学演变中的一些问题，期望的整体热力系统优化特性。. 本项目应用系统动力学和多Agent仿真建立了纸页干度协调能量优化模型和热湿空气能量管理Agent组的节能优化模型，完成论文4篇，申请发明专利2项，投稿一区期刊3篇，发表论文2篇，SCI收录1篇，核心期刊1篇。由于进度原因部分专利以及论文尚未见刊及批准，相关成果将在后续补充。