Sector air traffic congestion state monitoring method

The invention belongs to the field of the air traffic congestion identification technology and discloses a sector air traffic congestion state monitoring method. The method is used for monitoring the air traffic congestion state of the space and the time at each dimension of a point-line-surface-body within a sector. The method comprises the steps of analyzing the structural data of a spatial unit and the data of an operating state to establish a set of air traffic congestion monitoring index system for each dimensional space geared to the needs of sector important points, route segments, flying levels, all sectors and the like, including engine-driven wait times, engine-driven wait behavior ratio, flow ratio, average speed, density, delay, volume flow ratio, the workload of the controlled staff and the like; and providing a sector air traffic congestion state synthetical fuzzy clustering identification method through analyzing the correlation and the difference among air traffic congestion monitoring indexes