Abnormality prediction method, system and device based on intelligent disk monitoring and storage medium

The invention discloses an anomaly prediction method, system and device based on intelligent disk monitoring and a storage medium, and the method comprises the steps: selecting corresponding device parameters according to a to-be-monitored device, and building an anomaly prediction model; acquiring a boundary parameter of the to-be-monitored device, and inputting the acquired boundary parameter and the preset early warning parameter into the anomaly prediction model to obtain an anomaly probability value of the early warning parameter when the boundary parameter is given; and comparing the abnormal probability value with a global probability threshold value, and if the abnormal probability value is smaller than the global probability threshold value, triggering an abnormal prompt by the abnormal prediction model. According to the method, the occurrence probability of the sensor measurement data can be normalized along with the change of the equipment working condition, misleading on health degree evaluation c