The framework design of smart factory in discrete manufacturing industry based on cyber-physical system
The framework design of smart factory in discrete manufacturing industry based on cyber-physical system
复制标题
基于信息物理系统的离散制造行业智能工厂框架设计
DOI：
10.1080/0951192x.2019.1699254
复制
发表时间：
2019-12-15
影响因子：
4.1
通讯作者：
Liu, Dekun
中科院分区：
文献类型：
--
作者：
Chen, Gaige;Wang, Pei;Liu, Dekun
信息物理系统（CPS）是智能制造相关研究的新趋势，其中物理系统与传感器和通信系统一起充当数据访问角色，收集真实世界的信息并与计算模块（即网络层）通信，计算模块进一步分析并通过多个反馈回路通知相应的物理系统。本文通过将虚拟-真实映射和融合、数字孪生、大数据驱动、虚拟化和边缘到云服务技术应用于制造系统，为基于CPS的新范式智能工厂开发了一个概念框架。详细阐述了基于CPS的智能工厂的定义、特点、架构和以往的案例研究。在该范式中，数字孪生融合了物理系统建模和网络空间仿真，提供了智能解决方案的仿真分析能力。这就产生了各种基于大数据的生产前期智能工厂商业模式的生产流程、质量、成本、效率和环境影响分析的数字化设计，并为实际物理空间提供权威的解决方案。该系统在断路器生产行业的实际案例研究中得到了应用和验证。
ABSTRACT A cyber-physical system (CPS) is a new trend in smart manufacturing-related research, where the physical system acts as a data access role with sensors and communication systems to collect real-world information and communicate to computation modules (i.e. cyber layer), which further analyse and notify the findings to the corresponding physical systems through multiple feedback loops. This paper develops a conceptual framework for a new paradigm called smart factory based on CPS by applying virtual-real mapping and fusion, digital twin, big data-driven, virtualisation, and edge-to-cloud service technology to the manufacturing system. The definitions, characteristics, architectures and previous case studies on smart factory based on CPS are explained in detail. In the paradigm, the digital twin merges the physical system modelling and cyberspace simulation to provide an intelligence solution simulation analysis ability. This generates a variety of digital designs of production processes, quality, cost, efficiency and environmental impact analysis about smart factory business mode in the preproduction phase based on big data which can be analysed, and provide authoritative solutions for actual physical space. The proposed system is applied and validated in a real case study from the circuit breaker production industry.