Shorter product life cycles and increasing individualization of production leads to an increased reconfiguration demand in the domain of industrial automation systems, which will be dominated by cyber-physical production systems in the future. In constantly changing systems, however, not all configuration alternatives of the almost infinite state space are fully understood. Thus, certain configurations can lead to process instability, a reduction in quality or machine failures. Therefore, this paper presents an approach that enhances an intelligent Digital Twin with a self-organized reconfiguration management based on adaptive process models in order to find optimized configurations more comprehensively.
翻译：产品寿命周期的缩短和生产的个性化程度的提高导致工业自动化系统领域的再配置需求增加,而未来将由网络物理生产系统主导。然而,在不断变化的系统中,并非完全理解几乎无限国家空间的所有配置备选方案。因此,某些配置可能导致流程不稳定、质量下降或机器故障。因此,本文件提出一种方法,加强智能数字双胞胎的自组织重组管理,以适应性流程模型为基础,以更全面地找到优化配置。
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