平行系统和数字孪生的一种数据驱动形式表示及计算框架

张俊; 许沛东; 王飞跃

doi:10.16383/j.aas.c200347

平行系统和数字孪生的一种数据驱动形式表示及计算框架

doi: 10.16383/j.aas.c200347

张俊^1,,
许沛东^1,,
王飞跃^{2, 3, ,}

1.
武汉大学电气与自动化学院武汉 430072
2.
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
3.
青岛智能产业技术研究院青岛 266000

基金项目:

国家重点研发计划 2018AAA0101504

详细信息

作者简介:
张俊武汉大学电气与自动化学院教授. 2003年和2005年分别获得华中科技大学电子信息与通信工程系学士与硕士学位. 2008年获得亚利桑那州立大学电气工程博士学位.主要研究方向为智能系统, 人工智能, 知识自动化, 及其在智能电力和能源系统中的应用. E-mail: jun.zhang.ee@whu.edu.cn

许沛东武汉大学电气与自动化学院博士研究生. 2018年获得武汉大学电气工程学院硕士学位.主要研究方向为人工智能, 智能电网. E-mail: xupd@whu.edu.cn

通讯作者:
王飞跃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任, 中国科学院大学中国经济与社会安全研究中心主任, 青岛智能产业技术研究院院长.主要研究方向为平行系统的方法与应用, 社会计算, 平行智能以及知识自动化.本文通信作者. E-mail: feiyue.wang@ia.ac.cn

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出版历程
- 收稿日期: 2020-05-23
- 录用日期: 2020-07-02
- 刊出日期: 2020-07-01

Parallel Systems and Digital Twins: A Data-driven Mathematical Representation and Computational Framework

ZHANG Jun^1
,,
XU Pei-Dong^1
,,
WANG Fei-Yue^{2, 3
, ,}

1.
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072
2.
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
3.
Qingdao Academy of Intelligent Industries, Qingdao 266000

Funds:

National Key R & D Program of China 2018AAA0101504

More Information

Author Bio:
ZHANG Jun Professor at the School of Electrical Engineering and Automation, Wuhan University. He received his bachelor and master degrees in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 2003 and 2005, respectively, and his Ph. D. degree in electrical engineering from Arizona State University, USA, in 2008. His research interest covers intelligent systems, artificial intelligence, knowledge automation, and their applications in intelligent power and energy systems

XU Pei-Dong Ph. D. candidate at the School of Electrical Engineering and Automation, Wuhan University. He received his master degree from the School of Electrical Engineering, Wuhan University in 2018. His research interest covers artificial intelligence, smart grid

Corresponding author: WANG Fei-Yue State specially appointed expert and director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Director of China Economic and Social Security Research Center in University of Chinese Academy of Sciences. Dean of Qingdao Academy of Intelligent Industries. His research interest covers methods and applications for parallel systems, social computing, parallel intelligence, and knowledge automation. Corresponding author of this paper

摘要

摘要: 旨在为平行系统及ACP方法建立一种数据驱动的数学形式和计算框架, 该形式与框架也适用于数字孪生系统.首先, 基于动态系统状态方程方法论, 给出了平行系统的虚实双系统表示方法, 基于此表示方法为平行系统问题提供了一种数学表示.围绕该表示, 讨论了虚实系统互动、平行系统与数字孪生系统异同等问题.然后, 为ACP方法提供了一种计算框架, 详细解释了人工系统(Artificial systems, A)、计算实验(Computational experiments, C)、平行执行(Parallel execution, P)的数学计算求解过程, 并讨论了“学习与训练”、“实验与评估”、“管理与控制”、灵捷–聚焦–收敛(AFC)、小数据-大数据-小智能等概念的相关数学表示, 并讨论了智能科学与平行系统数学架构的关系以及平行智能的内涵.最后, 以大学校园园区能源管理系统为案例, 为平行系统数学架构和方法提供一个直观的算例.
- 平行系统 /
- 数字孪生 /
- ACP /
- 人机混合智能
Abstract: This paper aims to provide a mathematical representation and computational framework for parallel systems and the ACP approach, which are also applicable to digital systems. Based on the system state equation methodology, the dual real-virtual system representation for parallel systems is presented, based on which the parallel system problem is described in mathematical forms. Further, the computational framework for the ACP approach, which explain in details the mathematical processes for artificial systems (A), computational experiments (C) and parallel execution (P). Based on the ACP approach framework, concepts such as "learning and training", "experiments and evaluation", "management and control" are mapped into ACP0s mathematical computational framework, as well as related concepts such as AFC (AgileFocus-Convergence) and "small data, big data, small intelligence". The synergy of parallel system framework and artificial intelligence technology is also discussed and investigated, leading to the origin and implications of "parallel intelligence". A campus-wide energy management problem with considerations of human factors is utilized as an illustrative example of applying the parallel system mathematical representation and computational framework in power and energy systems.
- Parallel systems /
- digital twins /
- ACP /
- hybrid human-machine enhanced intelligence
Recommended by Associate Editor LIU De-Rong
注释:

1) 本文责任编委刘德荣

HTML全文

图 1 平行系统理论与ACP方法

Fig. 1 Parallel system theory and ACP method

下载: 全尺寸图片幻灯片

图 2 美国某大学校园电网的网络拓扑

Fig. 2 The network topology of the campus network of an American university

下载: 全尺寸图片幻灯片

图 3 校园能源社区系统管控流程

Fig. 3 Management and control process of campus energy community system

下载: 全尺寸图片幻灯片

图 4 夏季场景中6个目标楼宇的总体社会成本与不同室内温度设置的比较

Fig. 4 Comparison of the total social cost of six target buildings and different indoor temperature settings in summer

下载: 全尺寸图片幻灯片

表 1 用于训练目标建筑物的隐藏神经元的数量和训练结果的回归R值

Table 1 The number of hidden neurons used to train the target building and the regression R value of training results

编号	建筑名	隐藏神经元(个)	R值
1	里奇中心	30	0.88
2	法律大楼	20	0.96
3	斯特姆礼堂	30	0.96
4	丹尼尔大楼	30	0.86
5	纽曼中心	50	0.86
6	奥林中心	5	0.94

下载: 导出CSV

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