JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Cseppentő, L. AU - Büttner, M. ED - Furukawa, Kazuro ED - Yan, Yingbing ED - Leng, Yongbin ED - Chen, Zhichu ED - Schaa, Volker R.W. TI - UCAP: A Framework for Accelerator Controls Data Processing @ CERN J2 - Proc. of ICALEPCS2021, Shanghai, China, 14-22 October 2021 CY - Shanghai, China T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 18 LA - english AB - The Unified Controls Acquisition and Processing (UCAP) framework provides a means to facilitate and streamline data processing in the CERN Accelerator Control System. UCAP’s generic structure is capable of tackling classic "Acquisition - Transformation - Publishing/Presentation" use cases, ranging from simple aggregations to complex machine reports and pre-processing of software interlock conditions. In addition to enabling end-users to develop data transformations in Java or Python and maximising integration with other controls sub-systems, UCAP puts an emphasis on offering self-service capabilities for deployment, operation and monitoring. This ensures that accelerator operators and equipment experts can focus on developing domain-specific transformation algorithms, without having to pay attention to typical IT tasks, such as process management and system monitoring. UCAP is already used by Linac4, PSB and SPS operations and will be used by most CERN accelerators, including LHC by the end of 2021. This contribution presents the UCAP framework and gives an insight into how we have productively combined modern agile development with conservative technical choices. PB - JACoW Publishing CP - Geneva, Switzerland SP - 230 EP - 235 KW - controls KW - experiment KW - framework KW - software KW - operation DA - 2022/03 PY - 2022 SN - 2226-0358 SN - 978-3-95450-221-9 DO - doi:10.18429/JACoW-ICALEPCS2021-MOPV039 UR - https://jacow.org/icalepcs2021/papers/mopv039.pdf ER -