The application provides a camera patrol
video quality diagnosis and optimization method and
system and a storage medium. The method comprises the following steps: acquiring original video
stream collected by a camera, device
metadata associated with the camera, and
network performance data, analyzing the original video
stream to extract video content quality features; constructing a heterogeneous node set based on the video content quality features, the device
metadata, and the
network performance data, and constructing a dynamic multi-
modal spatio-temporal feature graph with edges representing the bearing or spatio-
temporal correlation between nodes as a heterogeneous edge set; inputting the dynamic multi-
modal spatio-temporal feature graph into a spatio-temporal graph neural network to capture the propagation path of faults in the heterogeneous node set and output the abnormal probability of each node; taking the abnormal probability and the propagation path as a query condition to match and cooperatively reason in a pre-constructed
knowledge graph to determine the
root cause and the corresponding evidence chain causing the
video quality to decrease; and matching an optimization strategy based on the
root cause. The application improves the reliability and operation and maintenance efficiency of
video monitoring.