This invention provides an intelligent recommendation method for
customs declaration timing that takes into account overseas holidays and customs
clearance time differences. It collects
time data from key nodes of customs clearance operations through multi-source heterogeneous interfaces, and generates standardized operation logs through
time zone normalization, anomaly removal, and structured encapsulation. Further, it performs rhythmic
phase alignment and
density analysis on the logs to extract rhythmic
fingerprint feature vectors reflecting the port operation
rhythm, and establishes a rhythmic
fingerprint database containing different port and holiday types. During real-time
declaration, it can dynamically recommend the optimal
declaration time window by combining historical high-efficiency periods and confidence analysis. The
system can also adaptively calibrate rhythmic feature parameters based on the deviation of actual customs
clearance time. This invention improves the accuracy of efficiency prediction for port customs clearance operations and the elasticity of the recommendation strategy, effectively alleviating problems such as holiday congestion and uneven
resource allocation.