Statistics-based intelligent identification and treatment method for abnormal topological data of power grid GIS (Geographic Information System)

The invention discloses a power grid GIS topology abnormal data intelligent identification and treatment method based on statistics, and the method comprises the following steps: 1, carrying out the structural object model analysis and storage of GIS topology original data of different equipment types (feeder lines, branch lines, lead segments and cable segments) according to voltage levels, and finding out the topological data structural errors; step 2, 1, according to voltage class and equipment type classification, statistical calculation is carried out on equipment structured object model data, and the total length La of an equipment topology path is calculated; 2, calculating power supply line loss and voltage drop indexes according to production operation experience, classifying according to voltage grades and equipment types, and setting upper limit empirical values Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, Lth0, the identification of a piece of power grid equipment