动态不确定环境下离散车间低碳制造系统建模与优化控制方法

项目名称： 动态不确定环境下离散车间低碳制造系统建模与优化控制方法

项目编号： No.51475096

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 机械、仪表工业

项目作者： 杨海东

作者单位： 广东工业大学

项目金额： 80万元

中文摘要： 低碳制造（LCM）模式/系统的出现与发展为制造企业创造了新的可持续发展空间，而促使其更进一步发展则需要相关理论、方法与技术支持，研究低碳制造系统（LCMS）的动态形成机理与运控方法,对进一步辨析其高效、低碳制造机理、发挥其效能有着重要意义。为此，本项目以产品全生命周期的加工制造环节为聚焦点，以重点解决离散车间LCMS的配置、调度与节能控制问题为目标，研究离散车间LCMS的全局Agent网络配置模型性能分析、LCMS运行过程资源消耗-碳排放关联模型及碳效评估方法、LCMS智能调度模型与节能控制方法，揭示LCMS动态形成机理与运控机理；从工程技术及应用层面研究离散车间LCMS智能配置、调度、节能踪控制的系列工具软件的系统分析与设计方法、编程模型等；最终从陶瓷、铝型材、轮胎等产品的实际生产应用案例研究着手，验证提出的理论、方法与模型的正确性，以此达到理论驱动应用。

中文关键词： 低碳制造；智能配置；碳流建模；动态调度；动态不确定环境

英文摘要： The emergence and progress of Low carbon manufacturing (LCM) mode/system creates the new sustainable developing space for manufacturing enterprises. However, its even further development requires the theoretical, methodological and technological supports. Study on the dynamic forming mechanism and executing controling methods of LCM system (LCMS) is becoming the key point for identifying its high efficiency and low carbon manufacturing mechanism. For this purpose, taking the middle stage manufacturing of the product life cycle as the focal point, and effectively dealing with the configuring, scheudling and energy controlling problems for LCMS of discrete workshop as the objective, starting from the perspective of exploring scientific problems, the project will study the configuring model for the whole agent network of LCMS of discrete workshop and its performance, the relation model for manufacturing resources consumption and carbon emission, and dynamic intelligent scheduling and energy conservation methods during LCMS execution. In this way, the dynamic forming mechanism and execution controling mechanism of LCMS in discrete workshop can be proclaimed. From the perspective of engineering technologies and system applications, the project will focus on the system analysis and design methods and software programming models of intelligent configuring, scheduling, and energy controlling tools for the configured LCMS. Finally, for arriving at the basic studying effect of theories drive applications, the project will carry out one or more pratical production case studies to demonstrate the validity of proposed theories, methods and models.

英文关键词： Low carbon manufacturing;Intelligent configuration;Carbon flow modelling;Dynamic scheduling;Dynamic and uncertain environment