OpenTwins: An open-source framework for the design, development and integration of effective 3D-IoT-AI-powered digital twins

TL;DR

OpenTwins is an open-source framework that simplifies the creation and integration of 3D, IoT, and AI-powered digital twins across various industries, enabling seamless development, visualization, and real-time data processing.

Contribution

The paper introduces a generic, open-source framework that unifies 3D visualization, IoT data, and machine learning for digital twins, addressing limitations of environment-specific solutions.

Findings

Successfully demonstrated in Petrochemical Industry 4.0 use case

Enables seamless integration of 3D visualization, IoT, and AI

Facilitates easy development and orchestration of digital twins

Abstract

Although digital twins have recently emerged as a clear alternative for reliable asset representations, most of the solutions and tools available for the development of digital twins are tailored to specific environments. Furthermore, achieving reliable digital twins often requires the orchestration of technologies and paradigms such as machine learning, the Internet of Things, and 3D visualization, which are rarely seamlessly aligned. In this paper, we present a generic framework for the development of effective digital twins combining some of the aforementioned areas. In this open framework, digital twins can be easily developed and orchestrated with 3D connected visualizations, IoT data streams, and real-time machine-learning predictions. To demonstrate the feasibility of the framework, a use case in the Petrochemical Industry 4.0 has been developed.