Abnormality detection method, system and equipment for battery redundancy unit, and medium

Abstract

The invention provides a battery redundancy unit anomaly detection method, system and device and a medium, and the method comprises the steps: obtaining a feature parameter needed by a detection model, and collecting first feature data from a corresponding device according to the feature parameter, and storing the first feature data; preprocessing the collected first feature data, and inputting the preprocessed first feature data into a detection model to obtain second feature data; and predicting the state of the battery redundancy unit according to the first feature data and the second feature data. According to the method, the system, the equipment and the medium for detecting the abnormity of the battery redundancy unit, the running state of the storage equipment BBU can be effectively pre-detected, and the method, the system and the equipment can be used as an effective auxiliary means for maintaining normal running of the equipment and an alarm mechanism. The early warning advance and the fault response time can be effectively increased, serious faults are avoided, and stable operation of equipment and data safety and reliability are guaranteed to the maximum extent.

Description

technical field [0001] The invention belongs to the field of computers, and in particular relates to a method, system, equipment and medium for abnormality detection of a redundant battery unit. Background technique [0002] Data security is an important part of safe production in today's industry. In today's various types of storage products, in order to ensure the stable operation of the system and data availability and security, most of them are equipped with battery redundancy modules (BBU). However, there are many factors that affect the normal operation of the BBU, such as temperature, voltage, humidity, etc. The occurrence of faults is difficult to predict, and comprehensive and effective manual protection cannot be carried out. When a fault occurs, it often poses a threat to the operation and data of the overall system. [0003] Therefore, an anomaly detection scheme is needed to deal with the above problems. Contents of the invention [0004] In order to solve th...

AI Technical Summary

Problems solved by technology

However, there are many factors that affect the normal operation of the BBU, such as: temperature, voltage, humidity, etc. The occurrence of faults is difficult to predict, and it is impossible to fully and effectively carry out manual guarantees. When a fault occurs, it often threatens the operation and data of the overall system

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