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A Multi-Simulation Bridge for IoT Digital Twins

Marco Picone, Samuele Burattini, Marco Melloni, Prasad Talasila, Davide Ziglioli, Matteo Martinelli, Nicola Bicocchi, Alessandro Ricci, Peter Gorm Larsen

TL;DR

The paper tackles the challenge of integrating Digital Twins with multiple heterogeneous simulators. It introduces the DT Simulation Bridge (DT-SB), a decoupled middleware that enables bidirectional data exchange and supports three interaction patterns: Batch, Streaming, and Physical Twin simulations, with dedicated simulation agents (MATLAB and AnyLogic). The approach emphasizes modular architecture, standardized simulation protocols, and dynamic routing to maximize interoperability and design agility. Experimental results on commodity hardware demonstrate low-latency overhead and effective live and virtual commissioning across industrial scenarios.

Abstract

The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms to support system design, validation, and real-time operation. This paper introduces the concept, design, and experimental evaluation of the DT Simulation Bridge - a software framework that enables diverse interaction patterns between active DTs and simulation environments. The framework supports both the DT development lifecycle and the incorporation of simulations during active operation. Through bidirectional data exchange, simulations can update DT models dynamically, while DTs provide real-time feedback to adapt simulation parameters. We describe the architectural design and core software components that ensure flexible interoperability and scalable deployment. Experimental results show that the DT Simulation Bridge enhances design agility, facilitates virtual commissioning, and supports live behavioral analysis under realistic conditions, demonstrating its effectiveness across a range of industrial scenarios.

A Multi-Simulation Bridge for IoT Digital Twins

TL;DR

The paper tackles the challenge of integrating Digital Twins with multiple heterogeneous simulators. It introduces the DT Simulation Bridge (DT-SB), a decoupled middleware that enables bidirectional data exchange and supports three interaction patterns: Batch, Streaming, and Physical Twin simulations, with dedicated simulation agents (MATLAB and AnyLogic). The approach emphasizes modular architecture, standardized simulation protocols, and dynamic routing to maximize interoperability and design agility. Experimental results on commodity hardware demonstrate low-latency overhead and effective live and virtual commissioning across industrial scenarios.

Abstract

The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms to support system design, validation, and real-time operation. This paper introduces the concept, design, and experimental evaluation of the DT Simulation Bridge - a software framework that enables diverse interaction patterns between active DTs and simulation environments. The framework supports both the DT development lifecycle and the incorporation of simulations during active operation. Through bidirectional data exchange, simulations can update DT models dynamically, while DTs provide real-time feedback to adapt simulation parameters. We describe the architectural design and core software components that ensure flexible interoperability and scalable deployment. Experimental results show that the DT Simulation Bridge enhances design agility, facilitates virtual commissioning, and supports live behavioral analysis under realistic conditions, demonstrating its effectiveness across a range of industrial scenarios.

Paper Structure

This paper contains 19 sections, 3 figures, 4 tables.

Figures (3)

  • Figure 1: Overview of the Simulation Bridge enabling diverse interaction patterns between DTs and simulation environments.
  • Figure 2: Architecture of the Simulation Bridge with its main components and the associated interaction flows.
  • Figure 3: Simulated Physical Twins integrated with the Simulation Bridge.