Power grid equipment defect extracorporeal circulation automatic identification method based on multi-source data

The invention discloses a power grid equipment defect extracorporeal circulation automatic identification method based on multi-source data, and the method comprises the steps: 1, obtaining fields in defect and work ticket data, carrying out the preprocessing of the fields, and extracting effective fields; 2, analyzing the defect data by adopting a TF-IDF algorithm, and extracting keywords belonging to defects; 3, performing fuzzy matching on the processed work ticket and the defect by adopting a fuzzy matching method; step 4, performing secondary matching on the data which cannot be matched by a Jaro Winkler algorithm; and step 5, finally outputting a defect extracorporeal circulation result. The problems that in the prior art, in extracorporeal circulation judgment of the equipment defects is low in efficiency and precision, a large number of manpower resources are wasted, and other faults and damage happen to the equipment due to the fact that the equipment defects which are not reported are not known in t