The invention discloses a
complex system data visualization modeling method based on GIS and
topological graph fusion, and relates to the technical field of
data visualization modeling, and the method comprises data fusion modeling, space-time anomaly reasoning, state propagation modeling and multi-dimensional
visualization enhancement. The method comprises the following steps: performing unified access, cleaning and
standardization processing on operation data, topological relation data,
geographic space data, function configuration data and environment data of a
complex system, and constructing a unified
data model fusing geographic attributes and topological attributes; realizing abnormal
root cause reasoning and spatial constraint propagation modeling of a
system state by using a convolutional
time sequence modeling method combined with a graph neural network; a dynamic
evolution rule of a node state is described through a
time gating mechanism, and interactive display is realized; according to the method, global
visualization of the operation state of a
complex system, dynamic
backtracking of an abnormal propagation path and
hierarchical analysis of key nodes can be realized, and the intelligent monitoring,
situation awareness and decision support capabilities of the
system are improved.