Fault Detection and Diagnosis Software of LHAASO

The Large High Altitude Air Shower Observatory (LHAASO) is a mega-scale dual-task facility designed to study cosmic rays and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>-rays. Online computing system of LHAASO supports its online operation and computation. Physical phenomena such as cosmic rays occur unpredictably and therefore require the online computing system to run uninterruptedly. LHAASO is large and the environment is harsh, so the online computing system is subject to failure. Once a system fails, maintenance personnel are required to quickly analyze the cause of the failure and repair it. The fault detection and diagnosis software (FADD) is designed to quickly detect and analyze system faults. The software implements comprehensive monitoring of each component of LHAASO’s online computing system (computing nodes, switches, and data flow software) and collects real-time status information. When a fault occurs, FADD can quickly analyze the cause of the fault and provide alarm information to the on-call staff as soon as possible. In addition, it can also analyze historical data within a specified period and generate data reports as needed. FADD is designed to fully consider the characteristics of large-scale high-energy physics experiments and satisfy the requirements of high throughput and high efficiency by using a distributed architecture. The software consists of the following layers: information collection layer, data analysis layer, and result layer, and contains metrics detection software, fault monitoring module, fault diagnosis module, and other functional modules. FADD has been applied to LHAASO and can diagnose operational faults quickly and accurately, helping to reduce the burden on maintenance personnel.

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Publication Details

Journal
IEEE Transactions on Nuclear Science
Published
2024-09-05
DOI
https://doi.org/10.1109/tns.2024.3454806
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.33

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article

Fault Detection and Diagnosis Software of LHAASO

Shaoshuai Fan, Hangchang Zhang, Minhao Gu
1 citations
IEEE Transactions on Nuclear Science
Fault Detection and Control Systems
0.33
article

Fault Detection and Diagnosis Software of LHAASO

Shaoshuai Fan, Hangchang Zhang, Minhao Gu
article en
1 citations

Abstract

The Large High Altitude Air Shower Observatory (LHAASO) is a mega-scale dual-task facility designed to study cosmic rays and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>-rays. Online computing system of LHAASO supports its online operation and computation. Physical phenomena such as cosmic rays occur unpredictably and therefore require the online computing system to run uninterruptedly. LHAASO is large and the environment is harsh, so the online computing system is subject to failure. Once a system fails, maintenance personnel are required to quickly analyze the cause of the failure and repair it. The fault detection and diagnosis software (FADD) is designed to quickly detect and analyze system faults. The software implements comprehensive monitoring of each component of LHAASO’s online computing system (computing nodes, switches, and data flow software) and collects real-time status information. When a fault occurs, FADD can quickly analyze the cause of the fault and provide alarm information to the on-call staff as soon as possible. In addition, it can also analyze historical data within a specified period and generate data reports as needed. FADD is designed to fully consider the characteristics of large-scale high-energy physics experiments and satisfy the requirements of high throughput and high efficiency by using a distributed architecture. The software consists of the following layers: information collection layer, data analysis layer, and result layer, and contains metrics detection software, fault monitoring module, fault diagnosis module, and other functional modules. FADD has been applied to LHAASO and can diagnose operational faults quickly and accurately, helping to reduce the burden on maintenance personnel.

IEEE Transactions on Nuclear ScienceVol. 72(3)
Institute of High Energy Physics (CN)
State Key Laboratory of Particle Detection and Electronics
Openalex Percentile: Top 43%
Fault Detection and Control Systems
0.33
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