cRAMI 4.0 an Improved Reference Architectural Model for Industrie 4.0 (RAMI 4.0) based on a three-dimensional cubic lattice model

Sima, Ioan and Cristea, Daniela-Maria and Ciortea, Elisabeta-Mihaela and Iantovics, Laszlo Barna (2025) cRAMI 4.0 an Improved Reference Architectural Model for Industrie 4.0 (RAMI 4.0) based on a three-dimensional cubic lattice model. ANNALES MATHEMATICAE ET INFORMATICAE, 61. pp. 215-228. ISSN 1787-6117

Preview

Text 215_228_sima.pdf - Published Version Download (1MB) | Preview

Abstract

In the context of Industry 4.0, the increasing complexity of 5Genabled Internet of Things (IoT) systems demands efficient and scalable methods for optimizing information flow across distributed architectures. This paper presents a novel approach to optimizing information flows in IoT systems by leveraging a three-dimensional cubic lattice model aligned with a customized Reference Architectural Model for Industry 4.0 (cRAMI 4.0). The novelty and improvement consist in the use of a three-dimensional lattice structure that maps three critical axes, detection level functions (Xaxis), analysis and maintenance processes (Y-axis), and access control levels (Z-axis), onto a unified spatial model for representing and optimizing information flows in IoT systems. Each node within the lattice represents a combination of these dimensions, enabling a comprehensive representation of functional, procedural, and security aspects in IoT environments. This spatial model facilitates the visualization, analysis, and optimization of data flows and access control mechanisms, enhancing system efficiency, security, and maintainability. The approach offers practical benefits for designing scalable and secure IoT architectures compliant with the main RAMI 4.0 principles. We formalise the proposed system using Petri net based modelling to simulate process transitions across Cloud-IoT-Lattice domains. Each IoT layer (perception, network, application) is treated as a distinct computational zone, and transitions between zones are defined across lattice-encoded relations. This interdisciplinary approach bridges informatics and industrial informatics, offering a new paradigm for adaptive, low-latency IoT systems in smart manufacturing, healthcare, and logistics.

Actions (login required)

Edit Item