The application discloses a kind of based on
big data visualization's
transformer substation intelligent monitoring method, it is related to measurement
data visualization technical field, including, the offset degree between the space-time
fingerprint base template and real-time behavior
fingerprint is calculated, generates offset vector set, obtains the distribution of offset vector set in space by kernel density
algorithm, generates abnormal
density field and space abnormal density
point cloud;According to space abnormal density
point cloud setting density threshold and solving the
equipotential surface of abnormal
density field, generate abnormal three-dimensional
equipotential surface group;Extract
risk evaluation index of abnormal three-dimensional
equipotential surface group and carry out dynamic rendering to abnormal three-dimensional
equipotential surface group, output
dynamic visualization picture.The application constructs space-time
fingerprint base template and calculates offset vector set, and abstract offset behavior is converted into three-dimensional risk form with space boundary, expansion trend and density aggregation characteristics, improves the explainability of
transformer substation
abnormal structure,
visual identification and forward-looking monitoring capability.