摘要
基于ACP的平行理论在复杂、不确定系统建模与控制方面发挥了重要作用,平行装卸是平行理论在物流装卸领域的具体应用。提出平行装卸系统的基本框架,通过构建不断更新的人工装卸系统模型来描述实际装卸过程,在此基础上,人工装卸系统通过计算实验对实际装卸过程进行预测并给出最佳解决方案,实际装卸系统根据最佳方案的诱导结果再输入人工装卸系统,两者虚实互动,平行执行,实现平行系统的不断升级和优化。
The ACP theory plays an important role in modeling and controlling complex,uncertain systems.Parallel loading and unloading is the integration of this theory in intelligent logistics.The basic framework of the parallel loading and unloading system was proposed in this paper.In this framework,the artificial system was built and updated continuously to describe real loading and unloading process,then computing experiments perform all kinds experiments for predicting all possible development and evaluate the best scheme.Finally,a bridge between the real system and the artificial system was built by the parallel execution and a long-term guidance for the real system could be realized,while artificial system was updated based on information from the real system.
作者
沈大勇
王晓
刘胜
SHEN Dayong;WANG Xiao;LIU Sheng(College of System Engineering,National University of Defense Technology,Changsha 410073,China;Qingdao Academy of Intelligent Industries,Qingdao 266109,China;The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China)
出处
《智能科学与技术学报》
2019年第1期34-39,共6页
Chinese Journal of Intelligent Science and Technology
基金
国家自然科学基金资助项目(No.61702519,No.61533019,No.91720000,No.61501461)。
关键词
ACP
平行理论
平行装卸
计算实验
智慧物流
ACP
parallel theory
parallel loading and unloading
computing experiments
intelligent logistics