| Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
|---|---|---|
| Article Number | 04003 | |
| Number of page(s) | 8 | |
| Section | Online Computing | |
| DOI | https://doi.org/10.1051/epjconf/202125104003 | |
| Published online | 23 August 2021 | |
https://doi.org/10.1051/epjconf/202125104003
Understanding ATLAS infrastructure behaviour with an Expert System
1 Universidad de Valencia
2 CERN
3 Universidad Antonio Narino (CO)
* e-mail: ignacio.asensi@cern.ch
Published online: 23 August 2021
The ATLAS detector requires a huge infrastructure consisting of numerous interconnected systems forming a complex mesh which undergoes constant maintenance and upgrades. The ATLAS Technical Coordination Expert System provides, by the means of a user interface, a quick and deep understanding of the infrastructure, which helps to plan interventions by foreseeing unexpected consequences, and to understand complex events when time is crucial in the ATLAS control room. It is an object-oriented expert system based on the knowledge composed of inference rules and information from diverse domains such as detector control and safety systems, gas, water, cooling, ventilation, cryogenics, and electricity distribution.
This paper discusses the latest developments in the inference engine and the implementation of the most probable cause algorithm based on them. One example from the annual maintenance of the 15°C water circuit chillers is discussed.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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