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Accelerator Reliability Information System

Accelerator Reliability Information System. A. Apollonio , J. Gutleber , A. Niemi (CERN) A. Preinerstorfer , H. Humer , T. Gruber , P. Böhm (Austrian Institute of Technology) K. Höppner (Heidelberg Ion Therapy Facility HIT) Jussi-Pekka Penttinen ( Ramentor & TU Tampere).

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Accelerator Reliability Information System

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  1. Accelerator ReliabilityInformation System A. Apollonio, J. Gutleber, A. Niemi (CERN) A. Preinerstorfer, H. Humer, T. Gruber, P. Böhm(Austrian Institute of Technology) K. Höppner(Heidelberg Ion Therapy Facility HIT) Jussi-PekkaPenttinen (Ramentor & TU Tampere) Johannes Gutleber CERN, ATS Directorate Office 16th Oct, 2017/Workshop

  2. ARIES H2020 Project Overview Accelerator Research and Innovationfor European Science and Society • Aims • Develop European particle accelerator infrastructures • Improve performance, availability for sustainability of particle accelerators • Transfer technologies to societal applications • Strengthen the European accelerator community • Key figures • May 2017 – 30 April 2021 (4 years) • 24.9 M€ (10 M€ EC contribution) • 44 beneficiaries from 18 countries • Coordinated by CERN ARIES-1710131100-JGU

  3. Reliability & Availability of Particle Accelerators • Compile and assess RAM standards, methods and practises (D6.2, M36) • Compile RAM characteristics for particle accelerator systems (D6.2, M36) • Spread the identified best RAM practices in order to introduce a common RAM baseline (training sessions for ARIES participants in scope of FCC study) • Assess the feasibility of an Open Data Infrastructurefor accelerator reliability (MS6.7, M44) ARIES-1710131100-JGU ARIES-1710131100-JGU

  4. Modelling & Simulation Environment Activity since 01/2015 ARIES-1710131100-JGU

  5. Open Reliability Information System - WHY • To assess RAMS characteristics of a “complex technical system” and to plan performance/cost improvements, we rely onquality data about systems and subsystems • From experience the biggest challenge • Today (to my best knowledge) no single source of credible information exists for design teams • ”Discovered by industry” decades ago • EuReDatA1973 covering allindustrial installations • EDF EIREDA 1997Europeanindustry • Nuclear - ISO 6527 1984 • Oil & Gas – ISO14224 • Offshore/Onshore – OREDA1981 • SPARTA – 2014 (windparks) ARIES-1710131100-JGU

  6. High Level Architecture of Information System Fault tracking, logbooks, observations, estimates Historical records,asset management Information System Handbooks, Data collection initatives Prob. Distribution (item characteristics, quality constraints, conditions ) Simulation of entire accelerator complex and Impacts of differentoperation scenarios Model driven Design andimprovement ARIES-1710131100-JGU

  7. WHAT is Stored • Structures of accelerator installations (system, subsystem, equipment) as data become available and as needed for use cases • Element information (classes, physical operation principle) • Reliability information (MTTF, MTTR) at all levels in statistical form on a best-effort basis • Linksto historic information and operation conditions ARIES-1710131100-JGU

  8. Additional Functions • Role based access • Data anonymization • An extensible membership concept to permit ingesting and providing information using different levels of granularity • A workflow to validate the source and quality of the information • An extensible scheme to query data (e.g. by matching characteristics ranges, by element, by system, according to quality criteria) • Support for different output formats ARIES-1710131100-JGU

  9. HOW - A Concrete Activity • Austrian Institute of Technology (AIT) • develops architecture, specification and pilot • database implementation work + API, minimal user interface • Heidelberg Ion Therapy facility (HIT) • 2 operating machines (Heidelberg, Marburg) • fills in exemplary information and validates concept • CERN • reviews the approach • contributes with existing data from a system • verify is usable, e.g. using current HL-LHC modelling activity • IMPORTANT: Engage the community • Hadron therapy facilities • Light sources, FELs • Non-accelerator research infrastructures ARIES-1710131100-JGU

  10. Timeline • Best-practice and literature review (until December 17) • Collection of use cases (until February 18) • Architecture (until April 18) • Requirements collection (Oct 17 – Dec 18) • Role concept (by Dec 18) • Data quality concept (by Dec 18) • RAM characteristics (what to store for different elements, calculation methods up to subsystem level) (by Sep 18) • API to retrieve statistical information (by Sep 19) • Proof of concept DB and core by (Jan 2020) ARIES-1710131100-JGU

  11. We Need Your Input! • This activity needs the involvement of the community. • We appreciate any form of constructive suggestions, information, and ideas for true collaboration. • A regular information exchange on the concepts and architecture would be beneficial. ARIES-1710131100-JGU

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