Intelligent analysis method for pavement crack detection data

The invention relates to the technical field of pavement crack data processing, in particular to a pavement crack detection data intelligent analysis method, which comprises the following steps: acquiring a width data set of a to-be-detected pavement crack and a width data set of a plurality of historical pavement cracks; screening all historical pavement cracks by using the width change expression degree and the width change trend factor to obtain all target historical pavement cracks; performing weighted fusion on the crack lengths of all the target historical pavement cracks to obtain a predicted growth length of the pavement crack to be detected; obtaining the crack connection possibility of the to-be-detected pavement crack; acquiring the damage degree of the to-be-detected pavement crack; and performing intelligent analysis on the to-be-detected pavement crack according to the damage degree. The accuracy of predicting the damage degree of the pavement crack is improved. 本发明涉及路面裂缝数据处理技术领域，具体涉及一种路面裂缝检测数据智