TIP: An Umbrella Application for all SCADA-Based Applications for the CERN Technical Infrastructure

The WinCC Open Architecture (OA) SCADA package and the controls frameworks (UNICOS, JCOP) developed at CERN were successfully used to implement many critical control systems at CERN. In the recent years, the supervision and the controls of many technical infrastructure systems (electrical distribution, cooling and ventilation, etc.) were rewritten to use this standard environment. Operators at the Technical Infrastructure desk, who monitor these systems, are forced to continuously switch between the applications that allow them to monitor these infrastructure systems. The Technical Infrastructure Portal (TIP) was designed and is being developed to provide centralized access to all technical infrastructure systems and extend their functionality by linking to a powerful localization system based on GIS. Furthermore, it provides an environment for operators to develop views that aggregate data from different sources, like cooling and electricity

Availability modeling approach for future circular colliders based on the LHC operation experience

Reaching the challenging integrated luminosity production goals of a future circular hadron collider (FCC-hh) and high luminosity LHC (HL-LHC) requires a thorough understanding of today’s most powerful high energy physics research infrastructure, the LHC accelerator complex at CERN. FCC-hh, a 4 times larger collider ring aims at delivering 10–20  ab$^-$$^1$ of integrated luminosity at 7 times higher collision energy. Since the identification of the key factors that impact availability and cost is far from obvious, a dedicated activity has been launched in the frame of the future circular collider study to develop models to study possible ways to optimize accelerator availability. This paper introduces the FCC reliability and availability study, which takes a fresh new look at assessing and modeling reliability and availability of particle accelerator infrastructures. The paper presents a probabilistic approach for Monte Carlo simulation of the machine operational cycle, schedule and availability for physics. The approach is based on best-practice, industrially applied reliability analysis methods. It relies on failure rate and repair time distributions to calculate impacts on availability. The main source of information for the study is coming from CERN accelerator operation and maintenance data. Recent improvements in LHC failure tracking help improving the accuracy of modeling of LHC performance. The model accuracy and prediction capabilities are discussed by comparing obtained results with past LHC operational data

BE Department Annual Report 2016

The Beams Department hosts the Groups responsible for the beam generation, acceleration, diagnostics, controls and performance optimization for the whole CERN accelerator complex. This Report describes the 2016 highlights for the BE Department

Laser-Ultrasound-Based Grain Size Gauge for the Hot Strip Mill

The paper summarizes the creation of a robust online grain size gauge for a hot strip mill. A method and algorithm for calculating the grain size from the measured ultrasonic attenuation is presented. This new method is self-calibrating, does not rely on a geometrical reference sample and can cope with the effects of diffraction on the attenuation. The model is based on 52 quenched samples measured with more than 23,000 laser ultrasonics shots and has a correlation coefficient R2 of 0.8. Typical online laser ultrasonic measurements from the hot strip mill and the calculated grain size versus length are presented for a couple of steel strips

Laser ultrasonics for online monitoring of microstructures in the hot strip mill

QC 20231030</p

Laser ultrasonics for online monitoring of microstructures in the hot strip mill

QC 20231030</p

BE Department Annual Report 2019

The Beams Department hosts the Groups responsible for the beam generation, acceleration, diagnostics, controls and performance optimization for the whole CERN accelerator complex. This Report describes the 2019 highlights for the BE Department

Big data analytics for the Future Circular Collider reliability and availability studies

Responding to the European Strategy for Particle Physics update 2013, the Future Circular Collider study explores scenarios of circular frontier colliders for the post-LHC era. One branch of the study assesses industrial approaches to model and simulate the reliability and availability of the entire particle collider complex based on the continuous monitoring of CERN’s accelerator complex operation. The modelling is based on an in-depth study of the CERN injector chain and LHC, and is carried out as a cooperative effort with the HL-LHC project. The work so far has revealed that a major challenge is obtaining accelerator monitoring and operational data with sufficient quality, to automate the data quality annotation and calculation of reliability distribution functions for systems, subsystems and components where needed. A flexible data management and analytics environment that permits integrating the heterogeneous data sources, the domain-specific data quality management algorithms and the reliability modelling and simulation suite is a key enabler to complete this accelerator operation study. This paper describes the Big Data infrastructure and analytics ecosystem that has been put in operation at CERN, serving as the foundation on which reliability and availability analysis and simulations can be built. This contribution focuses on data infrastructure and data management aspects and presents case studies chosen for its validation