Transformer direct current magnetic bias dynamic treatment method based on multivariate data fusion

The invention belongs to the technical field of electric power engineering, and discloses a transformer direct current magnetic bias dynamic treatment method based on multivariate data fusion, which comprises the following steps: constructing a transformer tolerance magnetic bias database, and generating a direct current magnetic bias initial treatment measure; obtaining multivariate monitoring data and abnormal working condition event data which influence the magnetic bias tolerance of the transformer, and carrying out fusion analysis to obtain a correlation factor of the multivariate monitoring data and the abnormal working condition event data; and dynamically adjusting the boundary condition of the finite element model of the transformer according to the association factor of the multivariate monitoring data and the abnormal working condition event data, dynamically adjusting the direct current magnetic bias treatment measure according to the adjusted boundary condition of the finite element model of the