An advanced system architecture for the maintenance work in extreme environment

The scientific objective of this paper is to figure out an advanced platform for personnel supervision and maintenance tasks. It is very essential to improve safety, reduce errors and decrease the time needed for scheduled or sudden interventions in extreme environments, including features, methods and tools. Current technology is standalone and none of the available technologies are integrated in a fully reliable system in order to perform maintenance work in extreme environment. In our study, a maintenance work at ATLAS detector in Large Hadron Collider at European Organization for Nuclear Research (CERN) has been considered. The research challenges lie in the development of real-time data-transmission, instantaneous analysis of data coming from different inputs, local intelligences in low power embedded system, interaction with multiple on-site users, complex interfaces, and portability. The proposed architecture is allocated with many sub-processing units. These are by name Video Data acquisition, Personnel Transreceving Unit (PTU), Head Mounted Display (HMD) and Control and Data Acquisition (DAC) with Web Server. The development of this system to be compatible with a wearable use in a highly challenging environment presents an excellent opportunity to integrate today's leading technical knowledge in a product which can become accessible to industry and general public. This study is a part of the EDUSAFE project, a Marie Curie ITN project focusing on research into the use of Virtual and Augmented Reality (VR/AR) during planned and emergency maintenance in extreme environments.