Human Centred Remote Maintenance and Asset Management

Stakeholders' Roles

SH as business owner of the pilot will define the requirements including data sovereignty requirements for company-specific information, provide guidance and evaluate the developed solutions. Moreover, SH will provide the required data and inputs to be rendered by the XR systems. OCU will bring its SHAPE software to project that will integrate with AI visualisations and recommendations of XR5.0 (development of required APIs). UPRC will contribute and integrate the AI models including generative AI, XAI and neurosymbolic learning.


KPIs: Reduce of on-site maintenances >=50%, Time to complete the tasks <=25% increase; 5-scale rating of site technicians’ satisfaction (i.e., excellent social performance).

Motivation & Description

Remote maintenance of laboratory instruments is essential for the smooth operation of industrial processes. Industrial environments use complex instruments that require regular maintenance and calibration to avoid downtime and production delays. To this end, many industrial enterprises are already using XR technologies for more efficient and cost-effective remote maintenance through virtual access to instruments in remote or hard-to-reach areas. State of the art XR technologies enable technicians to diagnose and resolve issues remotely, in ways that reduce downtime and save time and money. Nevertheless, as instruments grow in complexity, XR applications must improve in terms of the richness and specialisation of information that they provide to their end-users. To this direction, XR5.0 could improve the personalisation, relevance, and accuracy of the XR environments, based on its AI-driven functionalities (e.g., explanations about human maintenance processes) and their human centric DTs.The goal is to enhance remote maintenance using XR5.0 and AI-driven functionalities, improving personalization, relevance, and accuracy in XR environments. The pilot integrates specific maintenance workflows into OCU's SHARE software, providing visual assistance and AI content , ultimately aiming to offer personalized and rich AR solutions for solving complex problems remotely.

Use Cases

This Use Case will leverage OCU's SHARE virtual assistance software to enable remote inspection and maintenance of laboratory instruments through an XR environment. The latter will be enhanced with the project's AI visualisations (i.e., visualisations of AI explanations) that will be integrated into SHARE software. This Use Case will enable SH to use the service technicians' expert knowledge efficiently and reduce the amount of on-site service work while increasing resilience in the industries using SH's instruments.

This Use Case will allow SH to provide remote guidance to site technicians for performing retrofitting tasks such as electrical component upgrade, equipment reconfiguration, replacement, or refurbishment. XR5.0’s AI models will provide real time signals in cases that the safety of the technicians or the equipment are compromised. SHARE software will facilitate the XR rendering.