GIS equipment life prediction device and method based on machine learning

The invention provides a GIS equipment life prediction device and method based on machine learning, the life prediction device comprises a data acquisition module, a model establishment module, an analysis processing module and a database, and the data acquisition module, the model establishment module and the analysis processing module are all connected with the database. The life prediction method specifically comprises: setting a data acquisition period, performing GIS equipment index data acquisition according to the data acquisition period, establishing a GIS equipment life prediction model, and then calculating to obtain a GIS equipment fault probability in each data acquisition period, thereby constructing a fault probability development trend chart, and setting a fault probability threshold value; and finally, predicting the time when the GIS equipment reaches a fault threshold value through the fault probability development trend chart, and obtaining the residual life of the GIS equipment. According