The Fault Detection Technology Study for Information Push in OMS System Based On Big Data Analysis
Authors: 
Ying Zhao, Fei Chen, Hou Min, Lei HeAuthors Info & Claims
Ying Zhao, Fei Chen, Hou Min, Lei HeAuthors Info & ClaimsPages 796 - 801
Abstract
Aiming at the problems existing in the process of OMS information push, this paper studies the key technology of OMS information push fault detection in large data environment, so as to diagnose and analyze the reliability of OMS information push comprehensively and objectively, estimate the loss caused by power supply interruption to users, and analyze the causes of power cut accidents. At the same time, it is necessary to make full use of the real-time data accumulated by the power grid management system to scientifically construct the fault detection criterion, diagnosis model, exponential model and analysis model of MS system information push, so as to realize the on-line diagnosis and analysis of OMS system, so as to reasonably estimate and evaluate various types of OMS system information push. The basic causes of power failure are analyzed, and the optimal allocation measures of emergency power supply are adopted.
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October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
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Association for Computing Machinery
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Published: 14 March 2022
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AIAM2021
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 23 - 25, 2021
Manchester, United Kingdom
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