Human cognition in future maintenance operations

Investigating the evolving role of human cognition in future maintenance operations, focusing on optimising human-system interaction for enhanced efficiency and safety in industrial maintenance.

Goal

The goal of this project is to investigate the evolving role of human cognition in future maintenance operations, focusing on optimising human-system interaction for enhanced efficiency and safety in industrial maintenance.

Project status and results

This study is part of the EU-funded MOIRA (MOnItoRing of large-scale complex technologicAl systems) project, engaging 15 Early-Stage Researchers (ESRs) from 12 beneficiaries across Europe and the UK. MOIRA aims to develop advanced methodologies and technologies for real-time fleet monitoring of large-scale complex systems, with a focus on diagnostics and prognostics to enhance system performance and efficiency.

In alignment with MOIRA's objectives, this study aims to critically assess the maintenance actions required for machines in industries to identify factors contributing to performance and technical efficiency. The emphasis is on human-system interaction to optimize overall operation. This study leverages Augmented Asset Management, AI and digitalization for efficient asset utilization and maintenance. One of the tools to implement the same in industries is Metaverse, offering immersive virtual spaces for collaborative asset inspection.

Integrating advanced AI tools with immersive technologies like the Metaverse, combined with services like speech-to-text with AR, to prioritize user needs and preferences while enhancing the development of maintenance services.

Ongoing research emphasizes user-centricity in maintenance-related activities, focusing on optimizing human-system interaction to enhance user experience and operational effectiveness.