ALICE Expert System

15th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Ionita, C.^1 ; Carena, F.^1

ALICE DAQ, CERN, Route de Meyrin 385, 1217 Meyrin, Switzerland^1

关键词: A-prolog;    Component queries;    Human operator;    Knowledge base;    Physics data;    Standard tools;    Sub-systems;    System diagnosis;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/523/1/012005/pdf
DOI  :  10.1088/1742-6596/523/1/012005

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The ALICE experiment at CERN employs a number of human operators (shifters), who have to make sure that the experiment is always in a state compatible with taking Physics data. Given the complexity of the system and the myriad of errors that can arise, this is not always a trivial task. The aim of this paper is to describe an expert system that is capable of assisting human shifters in the ALICE control room. The system diagnoses potential issues and attempts to make smart recommendations for troubleshooting. At its core, a Prolog engine infers whether a Physics or a technical run can be started based on the current state of the underlying sub-systems. A separate C++ component queries certain SMI objects and stores their state as facts in a Prolog knowledge base. By mining the data stored in different system logs, the expert system can also diagnose errors arising during a run. Currently the system is used by the on-call experts for faster response times, but we expect it to be adopted as a standard tool by regular shifters during the next data taking period.