This paper presents a summary of mechanisms for the evolution of artificial intelligence in ‘internet of things’ networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, the paper reports empirical results that correlate academic literature with Industry 4.0 interdependencies between edge components to both external and internal services and systems. The novelty of the paper is a new approach for creating a virtual representation operating as a real-time digital counterpart of a physical object or process (i.e., digital twin) outlined in a conceptual diagram. The methodology applied in this paper resembled a grounded theory analysis of complex interconnected and coupled systems. By connecting the human–computer interactions in different information knowledge management systems, this paper presents a summary of mechanisms for the evolution of artificial intelligence in internet of things networks.

本文概述了“物联网”网络中人工智能发展的机制。首先，本文研究了在工业系统中使用新技术如何提高支持技术和人员水平的组织弹性。其次，本文报告的经验结果将学术文献与边缘和外部，内部服务及系统之间的工业4.0相互依赖关系相关联。本文的新颖性是一种用于创建虚拟表示的新方法，该虚拟表示用作概念图中概述的物理对象或过程（即，数字孪生）的实时数字副本。本文采用的方法类似于复杂的互连和耦合系统的扎根理论分析。