Multi-parameter collaborative super high-rise building deformation neural network intelligent early warning method

The invention discloses a multi-parameter collaborative super high-rise building deformation neural network intelligent early warning method, and belongs to the field of super high-rise building deformation monitoring. According to the early warning method, multi-source data are collected through a multi-source sensor, data of displacement, acceleration, speed, pixel displacement and wind load are obtained, deformation information of a building is predicted through a trained Elman neural network model, deformation trend judgment and building state judgment are carried out, and judgment early warning is carried out by combining engineering practice and analyzing a deformation threshold value. According to the multi-parameter cooperative intelligent deformation monitoring and early warning method provided by the invention, the deformation quantity of the super high-rise building is accurately analyzed in a multi-chromatography and multi-view manner by utilizing a coupling relationship among parameters such as v