Hardware equipment monitoring method and system

Abstract

The invention relates to the technical field of hardware equipment monitoring, in particular to a hardware equipment monitoring method and system, and the method comprises the steps: collecting log data of target hardware equipment; extracting feature information of the log data based on a knowledge graph and an LSTM model; and according to the feature information and the real-time log data of the target hardware equipment, determining the running state of the target hardware equipment. According to the hardware equipment monitoring scheme provided by the invention, the log data feature library corresponding to the abnormal event is constructed based on machine learning, timely alarm and processing can be realized when the abnormal event occurs based on the feature library, and judgment / operation does not need to be performed by manual intervention, so that the response speed is accelerated; the processing action of the system on the abnormal event follows a systematic process and method, and the consistency of operation among different processing personnel is ensured.

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