This invention belongs to the field of
engineering progress diagnosis technology, specifically disclosing a method and
system for diagnosing
engineering construction progress deviations based on
cluster analysis. The method includes:
slicing the original progress data of the target project into time-series states to obtain a continuous progress
state sequence; measuring the similarity of the evolution trajectory of the continuous progress
state sequence and performing topological mapping on the measurement results to obtain a trajectory
similarity matrix; based on the trajectory
similarity matrix, performing
trajectory pattern clustering on the continuous progress
state sequence to obtain progress state trajectory clusters; locating key turning points in the evolution trajectory to obtain state transition points; performing
critical condition backtracking on the state transition points to obtain preconditions, and performing correlation mining on the preconditions to obtain common conditions; and based on the common conditions, performing predictive risk analysis on the target project to obtain deviation diagnosis results. This invention can improve diagnostic efficiency and decision support capabilities.