On-line identification method for sudden change of monitoring state of power supply and transformation equipment

The invention relates to the technical field of power supply and transformation equipment monitoring, in particular to a power supply and transformation equipment monitoring state mutation online identification method, which comprises the following steps of: acquiring real-time monitoring data of equipment, representing the real-time monitoring data as original time sequence data of the equipment, and segmenting the original time sequence data into a plurality of pieces of time sequence data; decomposing the time sequence data to obtain a difference component and a mean component; constructing a binary tree model based on the original time sequence, and searching the difference component and the mean component through the binary tree model to obtain a mutation point position and corresponding mutation time sequence data; and performing anomaly identification on the abrupt change time sequence data to obtain the abrupt change reason of the equipment. According to the invention, the accuracy of the online monit