Construction of a Digital Twin for Reliability Analysis: A Case Study of a Storage Process

Concepts such as the Internet of Things, big data, cloud computing, and cyber-physical systems support new scenarios for further research and application on the Industry 4.0 initiative. One of the most promising ones is the digital twin applied to the shop floor. In this work-in-progress paper, we briefly review fundamental concepts and definitions and present a lasting solution to problems related to the reliability of industrial equipment. More precisely, our approach is based on an industrial twin model that, after proving its reliability, shall be used in more sophisticated applications. Finally, we present a case study of a storage process plant that uses the proposed architecture to perform a reliability study. The results of this work in progress may contribute to understanding the needs and gaps that may be filled before reaching a consolidated product, and we would like to discuss them with the community.

I. Introduction

The technologies related to industry 4.0 are to deliver a better customer experience, achieve full integration and improve communication between devices, plan the lifecycle (product design until the final stage of the product), and apply the related characteristics [1]. Smart manufacturing systems (SMSs) present an advanced strategy that refers to a multifield physical system composed of intelligent machines, materials, products, and complex couplings [2]. High-fidelity cyber models mapping the real world are critical to filling the gap between the design and operation of SMSs.