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Design and implementation of accelerator control monitoring system

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Abstract

IMPCAS has constructed and currently manages a large number of accelerator facilities. However, the current accelerator monitoring methods are unable to satisfy all of the device requirements. The accelerator control monitoring system (ACMS) was created and established to provide an efficient and accurate accelerator control monitoring system. It enables automatic alerting of problems with accelerator control systems and infrastructure. It utilizes a big data distributed stream processing engine and open-source monitoring tools. Metrics, logs, and EPICS PV values are the major three types of data that it monitors. Prometheus is primarily used to monitor metrics such as network traffic, hardware devices, and software operations. Graylog is used to monitor logs created by various applications and systems. We also created the EPICS Pulsar connector software, which allows us to transfer PV values to the Pulsar messaging cluster and use the Flink compute engine for real-time monitoring. The designed data management module allows users to define alert rules in a variety of ways. The ACMS enables the separation of the Flink business system and alarm rules. Users may use the data management module to add or alter alarm rules in real-time without having to restart the alarm software. This reduces the effect of alarm flooding when the accelerator reaches the beam shifting or shutdown condition and dramatically enhances alarm efficiency. The main components of the ACMS may be deployed in clusters, making it extremely versatile. Experimental results demonstrated that it has a higher throughput than the Phoebus Alarm system and can handle millions of monitoring indicators. The ACMS employs a modular framework that is very scalable. Long-term stability analyses were performed at the SESRI and HIRFL facilities. It achieved all of the intended goals and could greatly improve the accident handling efficiency while minimizing the failure time of the accelerator control system.

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Data availability

The data that support the findings of this study are openly available in Science Data Bank at https://doi.org/10.57760/sciencedb.j00186.00059 and https://cstr.cn/31253.11.sciencedb.j00186.00059.

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Authors and Affiliations

  1. Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China

    Chao Yuan, Wei Zhang, Tao Ma, Min Yue & Peng-Peng Wang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Chao Yuan, Wei Zhang, Tao Ma, Min Yue & Peng-Peng Wang

Authors
  1. Chao Yuan
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  2. Wei Zhang
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  3. Tao Ma
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  4. Min Yue
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  5. Peng-Peng Wang
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Contributions

All authors contributed to the study conception and design. Interface design was performed by Tao Ma and Peng-Peng Wang; Algorithm implementation and experimental analysis were performed by Chao Yuan and Tao Ma; Investigation and project administration were performed by Wei Zhang. The first draft of the manuscript was written by Chao Yuan and Min Yue. And all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Tao Ma.

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The ACMS was designed for large accelerator device such as High Intensity Heavy-ion Accelerator Facility (HIAF). To verify our design, we deployed and tested all functions on existing accelerators, Heavy Ion Research Facility in Lanzhou (HIRFL) accelerator and Space Environment Simulation and Research Infrastructure (SESRI) accelerator.

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Cite this article

Yuan, C., Zhang, W., Ma, T. et al. Design and implementation of accelerator control monitoring system. NUCL SCI TECH 34, 56 (2023). https://doi.org/10.1007/s41365-023-01209-z

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  • DOI: https://doi.org/10.1007/s41365-023-01209-z

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