Work-in-Progress—Interactive Digital Twins in Field Service Operations Training and Real-Time Support

Abstract

Digital Twins (DT) are real-time, high-fidelity, data-driven models that mirror and synchronise with physical or logical assets, processes, or systems. They use data to model and optimise system outcomes before they occur, enabling better-informed decision-making and saving time and resources. Though there are still challenges to be overcome, there are many potential applications of DT for training and support. This paper describes opportunities and challenges as well as introduces a case study based on a work-in-progress Augmented Reality (AR) proof-of- concept application to assist field engineers, aimed at reducing the learning curve for trainees and apprentices and increasing the effectiveness and efficiency of real-time quality control checks in common installation faults towards creating real-time augmented assistance for field engineers.