Digital Twin Applications: A Survey of Recent Advances and Challenges

Abstract

Industry 4.0 integrates a series of emerging technologies, such as the Internet of Things (IoT), cyber-physical systems (CPS), cloud computing, and big data, and aims to improve operational efficiency and accelerate productivity inside the industrial environment. This article provides a series of information about the required structure to adopt Industry 4.0 approaches and a brief review of related concepts to finally identify challenges and research opportunities to envision the adoption of so-called digital twins. We want to pay attention to upgrading older systems aiming to provide the well-known advantages of Industry 4.0 to such legacy systems as reducing production costs, increasing efficiency, acquiring better robustness of equipment, and reaching advanced process connectivity.

Методи Та Технології Розроблення Цифрових Двійників Для Гарантоздатних Систем Індустріального Інтернету Речей

“…Цифрові двійники (ЦД) разом з інтернетом речей (IoT), аналізом великих даних, машинним навчанням (ML), кіберфізичними системами (CPS), розвиток 4G і 5G можна вважати ключовими факторами, що сприяють промисловій революції 4.0 [2]. ЦД спрямований на створення точної цифрової моделі фізичного об'єкта або процесу, яка здатна збирати інформацію з реального середовища, виконувати перевірку, оцінювання, оптимізацію та прогнозування на цій моделі перед безпечним застосуванням результатів на фізичний об'єкт або процес.…”

“…В роботі [2] було запропоновано модель із 3 типами застосувань у цехах, які фокусуються на різних аспектах виробництва:…”

Digital Twin Of Shipbuilding Process in Shipyard 4.0

“…DT work is being carried out in virtually all industries [16]. The degree of advancement in each sector varies.…”

“…Analyzing the cited studies from the field of shipbuilding, as in other industries, one can notice discrepancies in the unambiguous definition of DT as well as the idea of its use. These problems have been identified and described by researchers, and work has been undertaken to systematize DT issues also in the field of shipbuilding [16,17].…”

Towards a Machine Learning-Based Digital Twin for Non-Invasive Human Bio-Signal Fusion

“…The first survey focused on covering and summarizing the methodological approaches used for designing, modelling, and implementing DTs, including details on how to synchronize real-time data between a DT's physical and virtual components, as well as the current progress of providing DT implementation tools and an experimental testbed [5]. The second survey presented a generic DT application architecture consisting of five layers to describe and specify the basic design requirements, related technologies, and integration interlayer process, with an emphasis on how to upgrade the legacy system in Industry 4.0 technologies to improve productivity, reduce costs, and upgrade the industrial process devices [6].…”