Control System and Data Acquisition for the Remote Monitoring of the personnel in the ATLAS experimental infrastructure at CERN

Abstract

Personnel safety, supervision and real-time monitoring are important key parameters while performing activities in risky environments and extreme environmental conditions such as the ATLAS cavern at CERN. The hazardous environments are not user friendly in terms of frequent access, performing regular or sudden interventions, monitoring, and supervision activities. The engineers and the personnel need to perform complex activities like installation and maintenance work in the heavy machinery. In most of the cases, it is not possible to memorize the maintenance procedures of a complex machinery. If the machines contain radioactive elements, then the situation is even more crucial for the health and safety of the personnel. The objective of this research is to develop and optimize the Control System (CS) and Data Acquisition (DAQ) System for the Personnel Safety System used in the ATLAS cavern. We propose a monitoring system to supervise the health status of the personnel and provide guidance during the performance of complex activities inside the ATLAS cavern. Radiation background monitoring can also be achieved through the communication of the system with a gamma camera placed in the cavern. This system is developed to supervise multiple interventions in real-time. An adaptability and scalability research, from a Service Based Application (SBA) perspective, has also been conducted to examine the use of this system in other extreme environmental conditions.