Video-based automatic identification system for abnormal conditions of fused magnesium furnace

The invention relates to a video-based automatic identification system for abnormal conditions of a fused magnesium furnace. The method includes the steps of acquiring fused magnesia production fieldcondition information through an image information acquisition module and transmitting the information to a sample generation module; generating a training sample by the sample generation module, performing label processing and manual classification label processing on images through label-image software, and transmitting the processed video and image information to a detection and classificationmodule; performing, by the detection and classification module, feature extraction and processing on the video and image information through a corresponding algorithm to obtain an intelligent detection and classification model of the condition identification system; and displaying, by a display unit, the novel uses the test video and image information in a visualized manner by using the intelligent detection and classifica