智能科学与技术学报 ›› 2019, Vol. 1 ›› Issue (1): 34-39.doi: 10.11959/j.issn.2096-6652.201911

• 学术论文 • 上一篇    下一篇

平行装卸:迈向智慧物流的智能技术

沈大勇1,2(),王晓2,3,刘胜3   

  1. 1 国防科技大学系统工程学院,湖南 长沙 410073
    2 青岛智能产业技术研究院,山东 青岛 266109
    3 中国科学院自动化研究所 复杂系统管理与控制国家重点实验室,北京 100190
  • 修回日期:2019-02-12 出版日期:2019-03-20 发布日期:2019-05-28
  • 作者简介:沈大勇(1989- ),男,安徽亳州人,博士,国防科技大学系统工程学院讲师,主要研究方向为机器学习、深度学习和智能系统。|王晓(1988- ),女,山东滨州人,博士,中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员,研究方向为社会交通、动态网群组织、人工智能和社交网络分析。|刘胜(1978- ),男,安徽合肥人,博士,现就职于中国科学院自动化研究所复杂系统管理与控制国家重点实验室,主要研究方向为智能制造技术、三维装箱、切割优化等。
  • 基金资助:
    国家自然科学基金资助项目(61702519);国家自然科学基金资助项目(61533019);国家自然科学基金资助项目(91720000);国家自然科学基金资助项目(61501461)

Parallel loading and unloading:smart technology toward intelligent logistics

Dayong SHEN1,2(),Xiao WANG2,3,Sheng LIU3   

  1. 1 College of System Engineering,National University of Defense Technology,Changsha 410073,China
    2 Qingdao Academy of Intelligent Industries,Qingdao 266109,China
    3 The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
  • Revised:2019-02-12 Online:2019-03-20 Published:2019-05-28
  • Supported by:
    The National Natural Science Foundation of China(61702519);The National Natural Science Foundation of China(61533019);The National Natural Science Foundation of China(91720000);The National Natural Science Foundation of China(61501461)

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。

关键词: ACP, 平行理论, 平行装卸, 计算实验, 智慧物流

Abstract:

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.

Key words: ACP, parallel theory, parallel loading and unloading, computing experiments, intelligent logistics

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