Controller-Aware Dynamic Network Management for Industry 4.0

TL;DR

This paper introduces a controller-aware dynamic network management framework for Industry 4.0 manufacturing systems, optimizing resource allocation by considering control requirements and process performance in a cyber-physical environment.

Contribution

It presents a novel dynamic, controller-aware network management approach that integrates digital twins and performance metrics for improved resource allocation.

Findings

Enhanced process performance through dynamic resource allocation.

Controller-aware schemes outperform fixed allocation methods.

Simulation results demonstrate improved efficiency and adaptability.

Abstract

In this paper, we consider a cyber-physical manufacturing system (CPMS) scenario containing physical components (robots, sensors, and actuators), operating in a digitally connected, constrained environment to perform industrial tasks. The CPMS has a centralized control plane with digital twins (DTs) of the physical resources, computational resources, and a network manager that allocates network resources. Existing approaches for allocation of network resources are typically fixed with respect to controller-dependent run-time specifications, which may impact the performance of physical processes. We propose a dynamic network management framework, where the network resource allocation schemes are controller-aware. The information about the controllers of the physical resources is implemented at the DT level, and metrics, such as regret bounds, take the process performance measures into account. The proposed network management schemes optimize physical system performance by balancing the shared resources between the physical assets on the plant floor, and by considering their control requirements, providing a new perspective for dynamic resource allocation. A simulation study is provided to illustrate the performance of the proposed network management approaches and compare their efficiencies.