Keyword: database
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WEC4 HEPS Controls Status Update controls, EPICS, experiment, operation 14
 
  • C.P. Chu, D.P. Jin, G. Lei, C.H. Wang, L.X. Zhu
    IHEP, Beijing, People’s Republic of China
 
  The High Energy Photon Source (HEPS) is a planned extremely low emittance synchrotron radiation based light source located in suburban Beijing which requires high precession control systems for both accelerator and beamline controls. This paper outlines the overall design for control systems, including equipment control, fast orbit feedback, machine protection, controls network, database, high-level application architecture, and physics applications. Early plans for beamline controls are also reported.  
slides icon Slides WEC4 [4.005 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEC4  
About • paper received ※ 10 October 2018       paper accepted ※ 15 October 2018       issue date ※ 21 January 2019  
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WEP25 Evolution and Convergence of Alarm Systems in Tango TANGO, controls, vacuum, device-server 92
 
  • S. Rubio-Manrique, G. Cuní, F.F.B. Fernández, R. Monge
    ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
  • G. Scalamera
    Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
 
  The technology upgrade that represents Tango 9 has triggered the evolution of two of the most used Tango tools, the PANIC Alarm System and the HDB++ Archiving. This paper presents the status of the collaboration between Alba and Elettra Synchrotron sources for the convergence of its both alarms systems under the IEC62682 standard, and the usage of HDB++ tools for logging and diagnostic of alarms. Relevant use cases from the user point of view has been added to the paper as a validation of the benefits of this control system evolution.  
poster icon Poster WEP25 [1.007 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEP25  
About • paper received ※ 17 October 2018       paper accepted ※ 18 October 2018       issue date ※ 21 January 2019  
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WEP28 Development of Software for Accessing the Vepp-2000 Collider Facility Archiving System software, interface, collider, controls 102
 
  • O.S. Shubina, A.I. Senchenko, P.Yu. Shatunov
    BINP SB RAS, Novosibirsk, Russia
  • A.I. Senchenko
    NSU, Novosibirsk, Russia
 
  The VEPP-2000 is an electron-positron collider, that was commissioned at Budker Institute of Nuclear Physics. The VEPP-2000 acceleration complex consists of a few main subsystems: BEP booster ring and VEPP-2000 collider ring. Data from accelerator complex are recorded regularly with a frequency at 1 Hz. There is often a need to obtain already stored data for analysis or modeling. In addition, you must provide remote data access to optimize the workflow. The solution of this problem must be universal, and it must be easily adapted to various databases and installation modes. To solve the task, the software was developed based on the client-server architecture. The server part is responsible for processing data in automatic mode according to the developed algorithm. The client part allows to view the data in a user-friendly form. This article talks about the development of software, simplifying access to the VEPP-2000 archiving system, that is launched on the VEPP-2000 control panel.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-WEP28  
About • paper received ※ 10 October 2018       paper accepted ※ 17 October 2018       issue date ※ 21 January 2019  
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FRCB2 Design and Construction of the Data Warehouse Based on Hadoop Ecosystem at HLS-II EPICS, controls, software, distributed 233
 
  • Y. Song, X. Chen, C. Li, G. Liu, J.G. Wang, K. Xuan
    USTC/NSRL, Hefei, Anhui, People’s Republic of China
 
  Funding: Work supported by National Natural Science Foundation of China (No.11375186)
A data warehouse based on Hadoop ecosystem is designed and constructed for Hefei Light Source II (HLS-II). The ETL program based on Spark migrates data to HDFS from RDB Channel Archiver and the EPICS Archiver Appliance continuously and store them in Parquet format. The distributed data analysis engine based on Impala greatly improves the performance of data retrieval and reduces the response time of queries. In this paper, we will describe our efforts and experience to use various open sources software and tools to effectively manage the big data. We will also report the plans on this data warehouse in the future.
 
slides icon Slides FRCB2 [5.157 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-PCaPAC2018-FRCB2  
About • paper received ※ 09 October 2018       paper accepted ※ 15 October 2018       issue date ※ 21 January 2019  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)