Abnormal data positioning method based on combination of integrated anomaly detector and root cause analysis

According to the abnormal data detection method based on the combination of the integrated anomaly detector and the root cause analysis, after the integrated anomaly detector is used for discovering the anomaly of the equipment, the root cause analysis algorithm is triggered immediately, the specific dimension causing the anomaly is recognized through the root cause analysis algorithm, and abnormal root cause analysis is achieved. The abnormal data positioning method provided by the invention integrates supervised, semi-supervised and unsupervised learning algorithms to realize the comprehensive detection of known abnormal types and unknown abnormal types, and can avoid the occurrence of abnormal false report or missing report caused by the inaccurate result of a single abnormal detection model to a great extent. Abnormality detection can automatically find problems, and root cause positioning can further deeply position the specific dimension of the problems on the basis of finding the problems, so that oper