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URLhttps://doi.org/10.18429/JACoW-IBIC2024-WEP60
TitleIntegrating InfluxDB and Grafana in a Dockerized CA EPICS Monitoring System
Authors
  • Z. Qi
    Harbin Institute of Technology
  • J. Liu, L. Zhao, Q. Chen, T. Wang, Z. Shen
    Harbin Institute of Technology (HIT)
AbstractA data monitoring system based on CA and EPICS designed for particle accelerators is proposed, which leverages Docker containers for deployment and integrates InfluxDB for data storage and Grafana for data visualization. The Data Collection Engine built with Python gathers data through EPICS Channel Access, caches it temporarily, and stores it permanently in InfluxDB. A two-level cache design is used to optimize data access. The monitoring system also offers a web application for configuration management and a web application for online data access and visualization in real-time, which provides a powerful and user-friendly solution for data collection, storage, visualization, and management in particle accelerator experiments.
Paperdownload: WEP60.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
ConferenceProc. 13th International Beam Instrumentation Conference
Series
LocationBeijing
Date09-13 Sep 2024
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardJianshe Cao (IHEP), Junhui Yue (IHEP), Lin Bian (IHEP), Ivan Andrian (Elettra-Sincrotrone Trieste S.C.p.A.), Volker RW Schaa (GSI), Zhichu Chen (SARI)
Online ISBN978-3-95450-249-3
Online ISSN2673-5350
Received29 August 2024
Revised11 September 2024
Accepted11 September 2024
Issued11 December 2024
DOI10.18429/JACoW-IBIC2024-WEP60
Pages416-419