Equipment exception handling method and equipment, medium and computer program product

By intelligently classifying and automated processing of equipment alarm information, and using the trained classifier and inspection robot, the problem of low alarm information processing efficiency in the computer room environment is solved, rapid response and precise processing of equipment abnormalities is achieved, and the Reliability and stability of equipment.

CN119272166APending Publication Date: 2025-01-07ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202411598895.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-07
Publication Date
2025-01-07

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Abstract

The invention discloses an equipment exception handling method and equipment, a medium and a computer program product, and relates to the technical field of computers, and the method comprises the following steps: obtaining alarm information of equipment exception; inputting the alarm information into the trained classifier to determine the alarm processing classification of the alarm information; wherein the alarm processing classification comprises alarm information needing to be processed by field investigation equipment and alarm information not needing to be processed by the field investigation equipment; if the alarm information belongs to the alarm information which does not need to be processed by the field investigation equipment, sending an alarm processing instruction to the abnormal equipment so as to carry out abnormal processing on the abnormal equipment; and if the alarm information belongs to the alarm information needing to be processed by the on-site investigation equipment, sending an investigation task to the inspection robot, and performing exception processing on the abnormal equipment according to an investigation result of on-site investigation of the abnormal equipment by the inspection robot. According to the invention, through intelligent alarm classification and an automatic processing flow, rapid response and accurate processing of equipment abnormity are realized.
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Citation Information

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