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

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.