The present application relates to the technical field of network
transmission congestion, and particularly relates to a
network data packet capturing and analyzing method and
system for mobile terminals. The method divides discrete transmission batches based on historical interval characteristics, determines an observation
reference rate by time window sampling combined with quantile statistics, and constructs an ideal reference
transmission curve. The method determines a
time domain lag barycenter parameter by analyzing the cumulative
lag distribution in the time dimension, eliminates false congestion interference, and extracts a load congestion index. The method dynamically updates the reference
delay baseline through the load congestion index to judge the congestion state and implement a hierarchical early warning mechanism. The present application is based on
time domain barycenter analysis of
lag distribution characteristics, distinguishes between head lags caused by protocol establishment overhead and real congestion lags caused by bandwidth limitations, significantly reduces false congestion false positive rates, realizes adaptive and accurate monitoring of
network congestion states, and improves the accuracy of
user experience evaluation.