The invention discloses a
situation awareness theory-based
transformer state evaluation method. The method comprises the following steps of: firstly determining three sub-objects for a comprehensive
transformer body state monitoring amount and a
power grid operation scene monitoring amount, wherein the three sub-objects are as follows: 1) a major insulation condition of a
transformer, 2) whether the transformer emits heat abnormally, and 3) a mechanical deformation condition of the transformer; and respectively carrying out
situation awareness demand analysis on each sub-object decision one by one so as to determine each to-be-perceived monitoring amount, namely, a
perception amount, and carrying out analysis by adopting an unascertained theory so as to know the degree of influence, caused by each
perception amount, on the major insulation of the transformer and realize the prediction for the future development trend of the major insulation. Compared with the conventional method, the method disclosed by the invention not only can be used for detecting the information, in the aspects of
electricity, heat and
chemistry, of the transformer, but also can be used for specifically integrating the multi-source information on the basis of demands of operation personnel, so that the operation personnel can know the real conditions, in various aspects, of the transformer more simply and visually.